-3dc97f3d182b6b0ed3d-5cd0 20220920033522947 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2019 8 2 Assistant Professor, Department of Information Technology, Sreenidhi Institute of Science and Technology, Hyderabad, India B. Hema Kumari V. Surya Narayana Reddy Assistant Professor, Department of CSE, Sreenidhi Institute of Science and Technology, Hyderabad, India Big data can be A data with large magnitude means it's large volume, velocity and variety. Currently a day's big data is enlarging in a various engineering and science disciplines. Because of rise in quantity of complex targeted dangers and accelerated increase in statistics, the investigation of data becomes overly hard. Now's Big Data security analytics systems rely on, on data that is indecent. As associations start and expand their own data systems - allowing spouses, customers and suppliers to get corporate information in dynamic and new methods and it becomes even vulnerable to data theft and abuse. Attackers have grown to be more adapt at exceptionally concentrated, complex attacks which interrupts static hazard detection measures. Now's strikes have decided by high level technologies aren't discovered before damage was happened. The process is collecting and assessing that the Big Data fast enough to comprise threats and execute past remediation. In this review paper, We're talking concerning procedure just how Big Data is examined with the procedure for Hadoop and the Big Data Security Analytics is Essential to mitigate the safety dangers to Ensure the business data better. 07 30 2019 4808 4811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2348.078219 https://www.ijrte.org/portfolio-item/B2348078219/ Indian Institute of Management Tiruchirappalli, Tiruchirappalli, India. S L Sanjith E. George Dharma Prakash Raj Bharathidasan University, Tiruchirappalli, India. Detecting intrusions has become a mandatory service in IoT environments. This is due to the power and resource con-strained nature of the networks. This paper presents a Decentralized Time-Window based Anomaly Detection (DTRAD) model for cost and time effective intrusion detection in IoT environments. The proposed model is composed of time win-dow based training data selection module, which enables better detection and reduced bias. Training data are selected based on their temporal significance and the bag creation process is also temporally performed such that data with similar temporal signatures are grouped into same bags. The ensemble model is created and weighted voting is performed to ena-ble better results. The data reinforcement module enables new data to be appended to the training data, hence maintaining the recency of the data. Further, the entire process is decentralized, hence enabling data processing at appropriate nodes. This keeps the size of the training data low, hence reducing the computational complexity of the model to a large extent. Experiments were performed with benchmark data and comparisons were performed with recent models. Results indicate high performance of the proposed models. 07 30 2019 1619 1625 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2350.078219 https://www.ijrte.org/portfolio-item/B2350078219/ Departmentof CSE, VRSEC, Vijayawada, India. Manjusha Balusu Jitendra Alaparthi Department of CSE, VRSEC, Vijayawada, India Current data frameworks make it progressively simple to acquire knowledge into the open intrigue, which is ending up increasingly more significant in differing open and corporate exercises and procedures. They propose and depict a system and a technique for assessing open enthusiasm from the verifiable negative criticism gathered from the IPTV group of spectators.Theexplorationcentersessentiallyaroundthechannel change occasions and their match with the substance data got from shut subtitles. The proposed and depict system and a technique for assessing open enthusiasm from the implicit negative feedback gathered from the IPTV spectators our examination scopes basically on the channel change occasions andtherematchwithsubstancedataacquiredfrom shutcaptions. It can cover an a lot more extensive population, and identify even minor varieties in client conduct. The displayed structuredepends on Concept modeling, viewership profiling and consolidates the understood watcher responses into an interestscore. 07 30 2019 2136 2138 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2355.078219 https://www.ijrte.org/portfolio-item/B2355078219/ Assistant Professor, Department Mechanical& Production Engineering Sathyabama Institute of Science and Technology, Chennai,India. Mrs.K.R. Kavitha J.Lilly Mercy Associate Professor Department Mechanical& Production Engineering Sathyabama Institute of Science and Technology, Chennai, India. Prakash Subramanaiam Professor Department Mechanical& Production Engineering Sathyabama Institute of Science and Technology, Chennai,India. Dr.Arunagiri Krishnamoorthy Professor of Mechanical Engineering Sathyabama Institute of Science and Technology, Chennai, Sivashankari Palaniswamy Assistant Professor Institute of Science and Technology of Chennai Tamil nadu India. Radiators are heat exchangers used to transfer thermal energy from one medium to another for the purpose of cooling and heating. The majority of radiators are designed to service in four wheeler and heavy duty vehicles. The radiator is always a origin of heat to its environment, although this may be for either the function for cooling the fluid or of heating this environment, or coolant supplied to it, as for engine cooling. In existing plain fins type radiator are commonly used, which are usually set up in a cross flow arrangement made up of aluminum and copper alloy. Powerful fan and water pump is accompanied in this to greatly improve heat dissipation rate. The addition of fins is one of the way to improve and increase the rate of radiator cooling. This method follow the principle of increasing contact surface. Contact surface can also be increased by varying fin geometrical structure. In this project simple modification has been carried out in the existing fin geometry with a view to improve its heat dissipated rate. Also comparison of conventional coolant with Nanofluids has been carried out by using PTC Creo 3.0 and analysis is carried out by using Ansys v16. The result are compared and optimum fin design is concluded. 07 30 2019 2139 2146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2357.078219 https://www.ijrte.org/portfolio-item/B2357078219/ Research Scholar, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. R. Prameela Devi N. Prabakaran Associate Professor, Dept. of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India. Multiple access is a key procedure which is used from 1G to 4G communication. Different multiple access techniques in different generations create difference in data rate, connectivity, outage performance etc. 5G is the recent technology in which a new multiple access technique must be used to increase the outage performance, massive connectivity and data rate for next generation. This paper gives clear idea about the Non-Orthogonal Multiple Access (NOMA) technique and different challenges to overcome in NOMA and also a brief description of different power allocation techniques is mentioned. The data rate performance of OFDMA and NOMA are evaluated and shown how spectral efficiency can be increased using NOMA. 07 30 2019 3337 3341 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2358.078219 https://www.ijrte.org/portfolio-item/B2358078219/ Department of E.E.E, Malla Reddy Engineering College(A), Maisammaguda-500100, Hyderabad, INDIA. Dr. A. V. Sudhakara Reddy Dr. N. Rajeswaran E.E.E Department, Malla Reddy Engineering College(A), ), Maisammaguda, Hyderabad, India . Dr. D. Raja Reddy E.E.E Department, Malla Reddy Engineering College(A), ), Maisammaguda, Hyderabad, India. This manuscript explores the novel Modified Ant Lion (MALO) Optimization to resolve the load dispatch problem optimally. The primary role of Optimal Economic Load Dispatch (OELD) is to obtain an efficient and economical operation of a power system network. The main aim of performing the OELD is for minimizing the fuel cost of the real power generation when the losses are neglected. An Modified Ant Lion (MALO) Optimization is a narrative nature-inspired algorithm and apes the tracking mechanism of ant lions in life. The random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are the five main steps involved in the hunting process. The principal objective of OELD is to curtail the total generation cost while honoring effective constraints of accessible generating resources. The anticipated Modified ALO technique is utilized on three and six unit test system to various load demands for solving the load dispatch problem economically. A statistical result clarifies that the anticipated MALO method has lowest fuel cost and superior in quality of solution than other optimization techniques accounted in most latest literature. 07 30 2019 2147 2151 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2359.078219 https://www.ijrte.org/portfolio-item/B2359078219/ Civil Engineering Department, Bharati Vidyapeeth Deemed (to be) University college of Engineering, Pune, India. Miss Snehal R. Patil Prof. Mrs. Deepali Kulkarni Faculty, Civil Engineering Dept. Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune, India. Prof. Mr. Vilas B. Joshi Visiting Faculty, Civil Engineering Dept. Bharati Vidyapeeth Deemed (to be) University College of Engineering, Pune, India. Spatially varied flow occurred in many hydraulic structures with the variable discharge including the main spillways designed for normal flood discharge and head above the sill at the crest, where hydraulic analysis of flow conditions have established through the research work carried at various laboratories, Efforts have been made here in this paper to assessment the flow in the receiving channel of a side channel spillway which is required to be provided to byepass the excess discharge above FRL during high floods. The present conditions particularly occur with earth dams where a conventional spillway cannot be used due to the settlement of the wall. The experimental studies were carried out for side channel spillway by using 3-D physical model to the scale of geometric similar scale (1/100). Experiments were carried out at Department of Civil engineering hydraulic laboratory, B.V.D.U.C.O.E, Pune. Side channel bottom was kept at the same level of spillway. Various experiments were carried out on the model of trapezoidal side channel spillway model, for different discharges varying from 1 lit/sec to 3 lit/sec for the different slopes from 0° to 20°. Coefficient of correlation varies from 0.80 to 0.98 which is fairly good. Maximum water depths for the higher discharge when channel is horizontal and depths decrease as slope of channel increases. Water surface profiles and discharge versus depths graphs were drawn from the hydraulic studies which may provide the guidelines related to flow conditions at side channel spillway. 07 30 2019 1626 1632 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2361.078219 https://www.ijrte.org/portfolio-item/B2361078219/ Department of Electrical and Computer Engineering, Kwara State University, P.M.B. 234, Malete, Ilorin, Nigeria. Lambe Mutalub Adesina Kamaldeen Saadu Network Planning Department, Eko Electricity Distribution Company, Marina - Lagos, Nigeria. Ganiyu Adedayo Ajenikoko Department of Electronic and Electrical Engineering, Ladoke Akintola, University of Technology, Ogbomoso, Nigeria. Power transformers constitute the most costly equipment which often posed constraints to electric power utility companies’ management. These transformers develop faults often due to oil insulation problems resulting from poor level of insulation oil, lack of routine maintenance, contamination, age, carbonization arising from system tripping as well as degradation of paper insulation due to ageing. However, the most economical way of maintaining stability in power supply to customers is creating a routine program of transformer oil regeneration for power transformer in the network. This paper therefore presents the optimization process of transformer oil regeneration for electric power utility company equipment. In this study, combined techniques of hot oil circulation, oil purification and oil reclamation of transformer oil regeneration was used for analysis of two 15MVA, 33/11kV power transformer. The process is aimed at drying the solid insulation of the transformer through the circulation of hot oil. The results of the transformer oil test before and after carrying out oil regeneration processes for the two 15MVA transformers are obtained and presented. For each transformer, the results are in five categories of properties namely; Physical, Electrical, Chemical, Dissolved metals and Dissolved gas analysis properties. The results indicated that the viscosity of transformer 1 is better than that of transformer 2. In addition, the dielectric breakdown voltage of oil transformer 1 is of more quality than the oil in transformer 2. The results are in agreement with standard ASTMD, IEC and ISO because the transformer properties has individual standard with each having its own mark. The comparison shows that transformer oil regenerated was very close to reality because the oil in the two power transformers is close to 90 %. 07 30 2019 2160 2167 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2364.078219 https://www.ijrte.org/portfolio-item/B2364078219/ Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, India. J. Yasin M. Saravanakumar Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, India. C. Madasamy @ Prabu nivas Department of Mechanical Engineering, PSNA College of Engineering and Technology, Dindigul, India. In numerous auxiliary applications, steels are predominantly supplanted by aluminium alloys on account of its great quality weight proportion. One noteworthy issue emerges in this material is a reduction of mechanical properties during the joining process. To wipe out shortages of mechanical properties, it is essential to discover a superior method of metal exchange. In this analysis, a comparative joint of grating friction stir welds 6082-T6 was created by changing the axle speeds between 800 rpm to 1800 rpm and the welding speeds between 30 mm/min to 120mm/min. An imperfection free welding was acquired at 1400 rpm axle speed and 65 mm/min welding speed with the most extreme tensile strength of 158.61 MPa. Examining electron microscopy (SEM) and Electron dispersive spectroscopy (EDS) test were directed to explore the molecule dissemination of the weld tests for optimum weld. From the results, presents of porosity are higher in optimum weld. In order to reduce the porosities, major elements were added and repeated the tests again. 07 30 2019 5650 5654 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2365.078219 https://www.ijrte.org/portfolio-item/B2365078219/ Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia Shahruzaman Sulaiman Azmi Hassan Electrical Electronic and Automation Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia Muhamad Husaini Abu Bakar Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia Ahamad Zaki Mohamed Noor Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia Nanoparticle is hard to produce because the process is difficult, and the material amount is always insufficient. In conjunction, a high amount of cost will be used to produce nanoparticle. In addition, the current material to produce nanoparticle are expensive, hard to obtain and depleting. Hence, Aluminium oxide (Al2O3) was introduced to solve the problem exist with the current nanoparticle. In this paper, research was conducted for the manufacturer to provide a large amount of fine Al2O3 nanoparticle hence cost saving. Electric Discharge Machine (EDM) was used to produce the nanoparticle. Several stages will be drafted put in this paper in order to achieve the objectives. The stages involved was developed a new chamber for Al2O3. The next stage is to use this device and synthesis of the nanoparticle. This research is followed by extraction of the nanoparticle. Then, the samples were measured and characterize the Al2O3 nanoparticle. Currently, the size of Al2O3 nanoparticle obtained is 800nm. Hence, the experiment will be proceeded in order to achieve Al2O3 nanoparticle size from 1nm to 100nm. The aluminium nanoparticle should be improved in all aspects compare to the current material nanoparticle. 07 30 2019 3418 3422 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2366.078219 https://www.ijrte.org/portfolio-item/B2366078219/ Computer Science, Karpagam Academy of Higher Education, Coimbatore, India. Reji C Joy S Hemalatha Computer Science, Karpagam Academy of Higher Education, Coimbatore, India. The task of fingerprint segmentation is the most important step in an automated fingerprint identification system. It is essential to separate the fingerprint foreground with ridge and valley structure from the background, which usually contains unwanted data hindering an accurate feature extraction. In the proposed method, fingerprint segmentation is treated as a classification problem by classifying the given input image into foreground class or background class. Here, we have used an unsupervised learning algorithm by using Stacked Sparse Autoencoder (SSAE) to learn the deep features which can very well distinguish the background region from foreground one. Finally, these deep features are given to the SVM classifier. The experimental results prove that the proposed method meets the state-of-the-art results in a wide range of applications. 07 30 2019 1633 1638 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2371.078219 https://www.ijrte.org/portfolio-item/B2371078219/ Research Scholar, Department of Computer Science and Applications, M.D.U, Rohtak, India. Anju Bala Priti Assistant Professor, Department of Computer Science and Applications, M.D.U, Rohtak, India. Breast Cancer is one of the fastest growing cancer that causes women to death in the world. The early detection of breast cancer improves the chances of its cure. The malignant tumor that is the sign of breast cancer can be detected by mammography. This paper develops a technique to classify the mammogram images as normal, benign or malignant. This paper applies HAPGD (Hybrid ACO (Ant Colony Optimization), PSO (Particle Swarm Optimization), GA (Genetic Algorithm), and DE (Differential Evolution)) classification algorithm to texture features extracted from the mammogram image. The analysis has been done on the DDSM and MIAS dataset by using classification accuracy, specificity, and sensitivity as the parameter with three state of art algorithms i.e. SVM classifier (without any optimization technique), Firefly (SVM with Firefly optimization), ACO-PSO-GA (SVM with hybrid ACO-PSO-GA optimization). The improvement in the performance measures against three state of art techniques shows the significance of the algorithm. 07 30 2019 3944 3948 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2374.078219 https://www.ijrte.org/portfolio-item/B2374078219/ Research Scholar, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Kalapet, Puducherry, India. P. Karthik Dr.P.SHANTHI BALA Assistant Professor, Department of Computer Science, School of Engineering and Technology, Pondicherry University, Kalapet, Puducherry, India. The integrity violation of remote data draws more significance after the advent of cloud solutions. The conventional digest functions like MD4, MD5, SHA-160, SHA-2 family, and SHA-3 family provide a more elegant solution for the aforesaid problem. But the breaking of MD4, MD5, and SHA-160 algorithms and the partisal breaking of the families of SHA-2 and SHA-3 raises concerns about their use on cryptographic applications. In addition, they do not provide the facility to decide the hash output length dynamically at runtime. This work attempts to address the aforesaid problems through polynomial products. The proposed design uses a higher-order two-variables polynomial function to establish the hash output. The application of polynomial function at the block-level helps the proposed design to produce variable length hash output. The experimental analysis of avalanche response, the effect of an avalanche on the hash output nibbles, and the analysis of confusion and diffusion prove the proposed design performs exceedingly well than the conventional algorithms. Therefore, the proposed design could be considered as a more suitable alternative for the conventional keyless digest function in the perspective of security. 07 30 2019 3194 3204 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2376.078219 https://www.ijrte.org/portfolio-item/B2376078219/ PG Scholar, Department of Mechanical Engineering, VRSEC Vijayawada, Andhra Pradesh, India. LakshmiSrinivas Sastra Ummaleti Jamuna Rani Ganipineni Assistant Professor, Department of Mechanical Engineering, VRSEC, Vijayawada, Andhra Pradesh, India. Srinivasa Rao Konuru Assistant Professor, Department of Mechanical Engineering, Vidya Jyothi Institute of Technology, Hyderabad, TS, India Motor execution improvement and fumes discharges decrease are two most significant issues to build up an increasingly productive motor with less natural effect. For diesel motor, cylinder geometry is one of the real parameter that influences the motor performance and emissions. In this present research work, engine performance improvement and exhaust emission characteristics reduction was reducing with the help of some modification in piston geometry by using 3 different types of piston geometries. Horizontal, Toroidal and Re-entered pistons. These can be tested on single cylinder water cooled ci motor. Varying Different type's pistons were analyzed and emissions HC, CO, CO2, O2 and NOx were studied with 5-gas exhaust gas analyzer. The toroidal cylinder gives the best performance and lower emissions at all load conditions. 07 30 2019 3087 3091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2378.078219 https://www.ijrte.org/portfolio-item/B2378078219/ Waseda University, Haishang Wu Raymond Wu Japan Government Project Researcher Recycling process in waste management reduces the cost of waste handling, minimizes cost of raw materials and processing, and simplifies supply chain management. It introduces 3D printing design and circular economies and significantly impacts green technologies and environment engineering in terms of waste management and materials processing. Educational action research play crucial role in communicating designer, stakeholder, consumer, and distributed in end-to-end recycling process. It fosters the entitiesacross value chain and accelerates the modernization of waste management processes. 07 30 2019 1639 1645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2384.078219 https://www.ijrte.org/portfolio-item/B2384078219/ PG Dept. of Computer Science, Mata Gujri College, Fatehgarh Sahib, Punjab, India. Mukesh Kumar Amandeep Verma Punjabi University Regional Centre for Information Technology & Management, Mohali, Punjab, India. Document clustering is an unsupervised machine learning technique which designates the creation of classes of a certain number of similar objects without prior knowledge of data-sets. These classes of similar objects are known as clusters; each cluster consists unlabeled data objects in such a way that data objects within the same cluster have maximum similarity and have dissimilarity to the data objects of other groups. The purpose of this research work is to develop domain independent Gurmukhi script clustering technique. It is the first ever effort as no prior work has been done to develop domain independent clustering technique for Gurmukhi script. In this paper, a hybrid algorithm for the development of document clustering technique for Gurmukhi script has been developed. The experimental results of proposed document clustering technique reveal that the proposed hybrid technique performs better in terms of defining number of clusters, creation of meaningful cluster titles, and in terms of performance regarding assignment of real time unlabeled data sets to the relevant cluster as a result of various pre-processing steps like segmentation, stemming, normalization as well as extraction of named/noun entities, creation of cluster titles and placing text documents into relevant clusters using fuzzy term weight. 07 30 2019 1646 1653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2386.078219 https://www.ijrte.org/portfolio-item/B2386078219/ CSE, CEC Landran, Kurali, India Sukhjeet Kaur Prof (Dr.) B.K VERMA CSE, CEC Landran, Rajasthan, India Our examination work is the most slanting since it relates to the security issues which increase, well ordered in view of the casual association inclines in society. In this paper we address the issue of uncovering an individual's information; the philosophy depends for the most part on the K-anonymity with the possibility of unimportant theory, which gets the property of the release strategy not to ravage the data more than anticipated to achieve K-lack of definition. We talk about the colossal data in detail how it is useful to guarantee an immense volume of information without change the arrangement of one of a kind data. Data stored in different forms is anonymise efficiently without affecting the integrity if data by using K-Anonymity and Artificial Bee Colony algorithm respectively. We similarly give base on security and insurance strategies and to avoid the interference. We use the phony bumble bee settlement (ABC) count to propel the tremendous enlightening accumulation. We exhibit the result in graphically the sum we improve the insurance from the as of proposed system. Here both K-Anonymity and ABC Algorithm is used (mixed) which never took care by executing parallel. 07 30 2019 3813 3817 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2388.078219 https://www.ijrte.org/portfolio-item/B2388078219/ Department of Computer Science & Engineering, National Institute of Technology, Durgapur, West Bengal, India Sumana De Baisakhi Chakraborty Department of Computer Science & Engineering, National Institute of Technology, Durgapur, West Bengal, India Fault diagnostic systems find numerous applications in almost all service domains. Now a days, interest lies on intelligent fault diagnosis. For this, a huge database of cases called Case Base (CB) comprising of fault descriptions and their solutions needs to be maintained. Case Based Reasoning (CBR) is a popular Artificial Intelligence technique that supports huge databases that find popular applications in fault diagnosis systems. CBR is a very useful process for solving problems, detecting and diagnosing faults, learning, reasoning and supporting decisions. As the size of CB increases, the accuracy of the system too increases leading to an increase in computational time complexity. So CBR techniques are coupled with machine learning approaches to reduce the same. This paper proposes a CBR methodology based Intelligent Car Fault Diagnosis System (CFDS) that integrates decision tree as a machine learning technique and jaccard similarity method to diagnose faults of cars accurately in a minimum time. A car fault diagnosis and detection system requires individual expertise gathered from personal experience and technical skills. Many times, not only the fault, but also the car part from where the fault originates or the cause of the fault needs to be known to handle or repair the problem. So, to help car mechanics as an assistant tool, CFDS is proposed; so that they can deal with various types of car faults very easily. Here, the proposed methodology integrates decision trees and jaccard similarity method to diagnose faults where the usage of decision trees is to store cases and jaccard similarity method is used to calculate the similarity percentages between user new query case and stored cases in the CB. User can post a new query about his car problem to the user interface of the CFDS. The CFDS uses the proposed methodology to find the solutions of that problem, and finally then at last these solutions are displayed to the user. To obtain better performance of the CFD system, this paper introduces a novel model of CBR cycle called CR4 model that is slightly modified version of traditional CBR cycle of R4 model, proposed by Aamodt and Plaza in 1994. 07 30 2019 2180 2193 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2390.078219 https://www.ijrte.org/portfolio-item/B2390078219/ CSE, CEC Landran, Kangra, India Surbhi Prof (Dr.) B.K VERMA CSE, CEC Landran, Rajasthan, India In the course of recent years’ numerous procedures have been proposed for face acknowledgment. Numerous methods proposed at first can't be viewed as fruitful yet practically all the ongoing ways to deal with the face recoginisation improves the results. Face acknowledgment is the errand of distinguishing a picture which is as of now recognized. We need huge information base of pictures that choose the given picture is known or obscure. Calculation is utilized that concentrates facial highlights and contrast with database with locate the best match. For recoginisation reason profound neural system is utilized, for example, Convolution Neural Network (CNN) and streamlining calculation, for example, Artificial Bee Colony (ABC) calculation. In this paper we give the short acquaintance about huge information with sort out our datasets for research work. For this specific research work we need information kind of pictures records put away by the enormous information. Past methodologies experience the ill effects of different weaknesses like interpretation in facial picture this may diminish the acknowledgment execution. To illuminate these issues, we utilized ongoing ways to deal with improve the results. 07 30 2019 3818 3822 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2394.078219 https://www.ijrte.org/portfolio-item/B2394078219/ Department of Electronics & Communication Engineering, Sri Venkateswara University, Tirupati, India. K. Rajesh Prof. G. Umamaheswara Reddy Department of Electronics & Communication Engineering, Sri Venkateswara University, Tirupati, India. The prime incentive to learn reversible computation is that it is the best efficient way to reduce heat dissipation than any other conventional methods. The major condition for reversibility is that there is a one-to-one connection between each input and output vectors and it has received a huge significance because of there no information loss throughout the reversible computation which results in reduces the power dissipation. Here, we proposed the design of encryption/decryption of the data schemes by using reversible computing. In this regard, a basic building block is designed for encryption design is simply cascading of a 4-bit reversible gates and it is performed every 4-variable reversible functions, for this intention a new reconfigurable reversible gate (RRG) is proposed and is designed with the use of basic reversible gates like NOT gate, CNOT gate, Toffoli gate, and Fredkin gates. In this work, the encryption/decryption of an 8-bit data is proposed and the Simulation results of encryption/decryption of the circuits using reversible gates are also presented. The gate count, delay, constant inputs, and the garbage outputs are calculated. The complete Simulation and the synthesis process can be finished with the Xilinx ISE 14.7 version and it is dumped on the FPGA Zynq board. 07 30 2019 1654 1658 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2396.078219 https://www.ijrte.org/portfolio-item/B2396078219/ Research Scholar, Department of Electronics & Communication Engineering, College of Engineering(A), Andhra University, Visakhapatnam, India Gudla Ramalakshmi P. Mallikarjuna Rao Professor, Department of Electronics & Communication Engineering, College of Engineering(A), Andhra University, Visakhapatnam, India. The emerging advanced wireless communication technology desires more compact, multiband, moderate gain antennas. These features can be accomplished by designing of the Fractal antennas with advanced features. This paper introduces a Modified Sierpinski Fractal antenna with compact, multiband and moderate gain specifications with an embedded Rectangular slot on the regular Sierpinski triangle . The fractalisation is extended from 0 to 4 iterations to examine the radiation characteristics. Two substrate materials ARLON, FR4-epoxy are considered individually with Ԑr values 2.2, 4.4 respectively and the height of the substrate is chosen as 1.6 mm. The efficient tool ANSYS HFSS High frequency structure simulator software package is used to design and simulate the proposed antenna structure in the frequency band of 1 to 10 GHz. The simulation results are reported and studied for all the four iterations in which the 4th iteration final geometry possess better results with 4 resonant frequencies that resonates in C band and X band in case of ARLON whereas 6 resonant frequencies obtained in the same frequency bands in case of FR4 epoxy. The multiband behavior can make these structures to serve in Satellite, Military and Radar wireless communications. The resultant gain values are also maximum about 13.67dB for ARLON and 7.69 dB for FR4-epoxy materials. It is also observed that the percentage of miniaturization of about 71.53% is obtained with this modified rectangular slotted fractal geometry, suitable to multiband applications. 07 30 2019 2194 2200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2397.078219 https://www.ijrte.org/portfolio-item/B2397078219/ School of Information Technology and Engineering, VIT Vellore, India. Chemmalar Selvi G. Iqjot Singh Department of Computer Applications, VIT Vellore,India. Big data is a late of huge information stored in it and all we need is to dig into get the important information out of it and create a useful system which can be very helpful in improving the current scenario. There are various applications where big data is being used and even there are few fields that are learning techniques to go with big data and evaluate their work and get an improve decision. This paper particularly concentrates on the e commerce system which is highly trending on the market field. [20] E commerce also known as electronic commerce is a market place which gives you a platform to enjoy various services from both buyers as well as sellers. It is a place with various varieties are provided that can help the consumer to choose from and the buyer can get a platform where he can show case his product and get millions of the customer at the same time and he does not have to look for site all the time, it’s the system that take care of it. Now big data is playing a vital role in e commerce as it reads about user behavior and provides him a suitable product that he may need according to his behavior and query. There are various machine learning algorithms that are working on this and improving the services. [11] Basically in this paper we will read the user information and combine it with the product attributes and get a suitable suggestion for the user that will be most likely to be purchased by him. In the existing system we just look at one part of the case and give suggestion but in this paper we looked at both the sides, that is we looked after the product entities (the attributes and features that it poses) and the user behavior (the information given by the user and its previous history) that will better prediction and improve the system. Moreover for the optimized working of the system we included an enhanced version of HPCA scheduling algorithm for the Hadoop distributed file system also known as HDFS, which is very suitable for the heterogeneous system, the existing algorithm looks after the overall capacity of the node and then the tasks were assigned but here we will consider the health and the left over capacity of the nodes and arrange the queue for the same which will be refreshed all the time after the task is completed by any node.[18] The aim of the paper is to provide fast and most suitable suggestions to the users which can play a vital role in improving the sales of the company and getting the target done soon and faster. 07 30 2019 748 749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2401.078219 https://www.ijrte.org/portfolio-item/B2401078219/ School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India. Rajarajeswari S Neelanarayanan V School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India. Context aware systems are embedded in the environment and provide services anytime and everywhere. Context aware system is built upon context information gathered from the environment and the adaptation rule which describes what need to be performed for the context information gathered. Consistent behavior of the context aware system will be ensured by the complete and correct context information and adaptation rules. There may have a situation where conflicts may occur at context level and adaptation rule level. Many researchers presented different methods to detect and resolve conflict in context information level. In this work we proposed a procedure to detect and resolve conflicts in the adaptation. Two different types of conflicts are addressed in this work. We have discussed about the procedure to resolve these two types of conflicts in the adaptation rule. 07 30 2019 760 763 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2402.078219 https://www.ijrte.org/portfolio-item/B2402078219/ Department of Mechanical Engineering, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India. B. Raja Mohamed Rabi K. Kanimozhi Department of Electrical and Electronics Engineering, Sethu Institute of Technology, Kariapatti, Tamil Nadu, India. The problem considered in this paper is minimization of operational and maintenance costs of Wind Energy Conversion Systems (WECS). A continuous condition monitoring system is to be designed for reducing these costs. Hence preliminary identification of the degeneration of the generator health, facilitating a proactive response, minimizing downtime, and maximizing productivity is made possible. The inaccessibility of Wind generators situated at heights of 30m or more height also creates problem in condition monitoring and fault diagnosis. This opens up the research on condition monitoring and fault diagnosis in WECS (blades, drive trains, and generators). Therefore different type of faults, their generated signatures, and their diagnostic schemes are discussed in this paper. The paper aims in validating the application of neural networks for the analysis of wind turbine data, so that possible future failures may be predicted and rectified earlier. 07 30 2019 764 768 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2404.078219 https://www.ijrte.org/portfolio-item/B2404078219/ Department of Chemical Engineering, Bharti Vidhyapeeth (Deemed University) College of Engineering, Pune, Maharashtra, India Salim Attar Snehal Dawkhar Satish Rikame Department of Chemical Engineering K Wagh Polytechnic, Nashik, Maharashtra, India In this study the cation exchange membranes(CEM) were fabricated using 3 different compositions of sulphonated poly vinyl alcohol (SPVA) and phosphorylated graphene oxide(PGO) in weight ratios by physicalmixing and casting method. Loading of PGO in the SPVA improvedwater uptake property which signifies increase in ion exchange capacity(IEC) and proton conductivity as presence of acidic groups were characterized. These fabricated membranes performances were assessed in microbial fuel cells(MFCs) and characterized using XRD and FTIR for its compositional analysis. Due to proper proton conducting channelsmost suitable CEM (SPVA-PGO-3) revealed higher proton conductivity 9.0 x 10-2 S/cm at 27oC, water uptake 114%, area swelling 54.2% and ion exchange capacity (IEC) 1.92 meq/g. The power density obtained for this composite membrane applied in MFC-3 was observed to be 503.1 mW/m2 while the COD removal results obtained as 80.8 %. 07 30 2019 769 763 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2405.078219 https://www.ijrte.org/portfolio-item/B2405078219/ School of Architecture & Planning, Amity University, Dubai,United Arab Emirates. Banafsha Quadri Rajput Dr. Sadia Riaz Department of Humanities, Arts and Applied Sciences, Amity University, Dubai, United Arab Emirates. Throughout the past, architectural icons including heritage structures are served as references to create visual identity for any place branding which would reach either by books or news to the public. The mechanism of place branding is developed by every nation for its economic growth, social development, and infrastructure. A very strong strategy called media communication or advertisement leads to attitudinal effects of improved tourism, increased investors or citizens by reaching the target market. Recently media has captured our minds and is proved to be a very strong tool in reinforcing perceptions for almost every activity or routine work. However, people are misguided by their perception related to place branding due to the lack of awareness, authentic sources for information gathering and media’s projected influence on their psychology. Media and advertisement has a huge impact in creating perceptions for any place in the world which need not to be proved authentic always. This study intends to address parameters that have an impact on place branding with a larger focus on iconic architectures. Study objectives include, a) proposing a conceptual framework on place branding by synthesizing literature, and b) preliminary empirical analysis to determine negative and positive implications of place branding on travelers’ guided perceptions. The study uses quantitative method for primary data collection through focused group/survey, data analysis is performed in Predictive Analytical Software v. 20. Findings of the study concludes that place branding (iconic architectures) is reinforced by the media, enabling formation of perceptual influences (positive or negative experiences) – significantly correlating with tourists informed (confident) decisions to visit a destination or not. 07 30 2019 230 235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2408.078219 https://www.ijrte.org/portfolio-item/B2408078219/ PG Research Scholar B.Tech (Chem)., Dip NVQ LV, CMIOSH, SIIRSM , RSP Vel Tech R & D Institute of Science & Technology Jayandran. M Dr. Ravichandran A.T. Professor & Dean B.E (Mech)., M.E (Manu Engg), Ph.D (Prod.Engg) Vel Tech R & D Institute of Science & Technology. Dr. LAKSHMANAN. P Assistant Professor B.E (Mech)., M.E (Eng. Desi).,Ph.D(Mech) Vel Tech R & D Institute of Science & Technology. An Organization has to abide national safety legislation procedures so as to maintain business moral and workers safety. To ensure this, management has to do the following active monitoring steps like Hazard Identification, detailed Risk Assessment, drafting Safe Work procedure, Supervision and Training to Workers. While doing Risk Assessment the likelihood for the hazard to occur and the intensity of damage it would create should be properly calculated. Along with that, the effectiveness of existing control measure and the recommendations for advanced control measures also to be suggested. In general, incidents are happening mainly due to defect in Safety management, technical Job factor or individual factors. The accidents are happening mainly due to unsafe act or unsafe condition. Unsafe act includes Individual negligent behavior like, not wearing personal protective equipment, not carrying out the task as per the instruction, not carrying out the inspection or preventive maintenance as per the procedure etc., . Unsafe conditions include defective equipment in the work place, improper Housekeeping in the work site etc. In Petrochemical plants, as volatile Hydrocarbon exist in the process area, the chances for fire oriented emergencies are unavoidable if unsafe act or unsafe condition not identified and controlled appropriately. In a crude oil refinery or downstream petrochemical units, mostly flammable substances like Petrol, Diesel, Superior Kerosene, Aviation Turbine Fuels and Liquefied Petroleum Gas (LPG) would be the refined products. These products processed in distillation columns, stored in tanks, bullets and transported through pipelines. As this process equipment’s and distribution networks especially Pipeline grids are exposed to atmosphere the natural phenomenon called Atmospheric Corrosion is unavoidable. Atmospheric Corrosion may happen if the atmospheric pollutants interact with humidified air an electrochemical reaction leads to Corrosion. This electrochemical reaction would affect the Pipeline structures very badly results in puncture on pipeline surface leads to flammable substance leakage. To control this corrosion, along with proactive engineering control measure, ambient air quality analysis, corrosion simulation and corrosion monitoring should be done. 07 30 2019 779 782 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2410.078219 https://www.ijrte.org/portfolio-item/B2410078219/ Research Scholar, Department of Electronics & Communication Engineering, K.L. University, Green Fields, Vaddeswaram-522502, Guntur (Dt), A.P, India. Kallakunta Ravi Kumar Siva Sankar Asadi Associate Professor, Department of Civil Engineering, Vignan’s Foundations for Science, Technology and Research, Vadlamudi, Guntur, A.P, India. Venkata Ratnam Kolluru Associate Professor, Department of Electronics & Communication Engineering, K.L. University, Green Fields, Vaddeswaram-522502, Guntur (D.t), A.P, India. M.V. Raju Assistant Professor, Department of Civil Engineering, Vignan’s Foundation for Science Technology and Research, Vadlamudi, Guntur, A.P, India Remote sensing Technology is influences to lesad the everyday life of human beings, ranging from to study the weather changes and Resources management. This attempt deals with the use of Geospatial Technology for preparation of drainage nets work mapping of Vamsadhara River Basin to study the drainage characteristics. The geo coded Remote sensing Satellite data and toposheets collected from Survey of India to conduct primary study. Visual Interpretation technique has been applied and field work also done to gathered the data from different departments to prepare the final drainage map. This drainage map has been scanned and digitized using Arc Info software .the generated digital information is linked with the spatial and attribute data base. Integration of above data using GIS software drainage map has been prepared. This type of drainage map is very useful for decision makers to effective water management and monitoring of water resources based on the predetermined water resources action plan. 07 30 2019 2201 2206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2413.078219 https://www.ijrte.org/portfolio-item/B2413078219/ Assistant Professor, Department of Statistics, DRBCCC Hindu College, Pattabiram, Chennai- 600072., University of Madras. B. Anandhavel Dr. T. Edwin Prabakaran Associate Professor, Department of Statistics, Loyola, College, Chennai – 600034., University of Madras. Many statistics report shown in fuzzy module into clear problems using the centroid system, consequently we will research the usual linear regression model which is modified from the fuzzy linear regression model. The models enter and generate fuzzy numbers, and the regression coefficients are clear numbers. Hybrid algorithms are considered to fit the fuzzy regression model. So that the validity and quality of the suggested methods can be guaranteed. Therefore,the parameter estimation and have an impact on evaluation situated on knowledge deletion. By way of the gain knowledge of example and evaluation with other model, it may be concluded that the model in this paper is utilized without difficulty and better. 07 30 2019 2967 2971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2415.078219 https://www.ijrte.org/portfolio-item/B2415078219/ Research scholar of Department of Electronics Engineering, KIT’s College of Engineering, Shivaji University, Kolhapur. Prof. Sudhir Adhikrao Kadam Prof. Dr. Mahesh S. Chavan Professor & Dean, KIT’s College of Engineering, Kolhapur India. This methodology for stable and robust design of FIR filters. Differential evolution (DE) is taken as a global search technique and it uses local search algorithm to find the optimal solution for the design. DE is implemented here to design low pass, band pass as well as high order filters and results which are obtained can also be applied to higher order filters. The recombination approach involves the creation of new candidate solution components based on the weighted difference between two randomly selected population members added to a third population member. This perturbs population members relative to the spread of the broader population. In conjunction with selection, the perturbation effect self-organizes the sampling of the problem space, bounding it to known areas of interest. 07 30 2019 2207 2210 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2420.078219 https://www.ijrte.org/portfolio-item/B2420078219/ Ph.D., Research Scholar, Department of Computer Science, Erode Arts and Science College(Autonomous), Erode, India. M. Sivakumar Dr.T. Ranganayaki Associate Professor, Department of Computer Science, Erode Arts and Science College(Autonomous), Erode, India. The portable mobile network contains adaptable node which are shaped discretionarily. Recalling a definitive goal to keep away from impede, cross layer based blockage manage plot is anticipated for lessening the package occurrences in this system. The planned plot contains three stages. In first stage, the cross layer configuration is proposed to guarantee that the data contribution should be possible between the unquestionable layers in convention stack. In second stage, the blockage unmistakable verification plot is analyzed which accomplishes packet disaster rate and stop upscale factor. In third stage, blockage control is master utilizing cross layer move towards. Here the blockage course is settled in context of the way increase, bolster inhabitancy division. To give smallest centralities utilize and staying away from more blockages, vitality utilizes display and multipath organizing plan is required in structures. . In this study, developed an Efficient Energy based Congestion Control Scheme (EECCS) for jamming prevention and to get better energy efficiency of the mobile nodes[1]. The cross layer propose is deployed to get better the network performance. The multipath direction-finding is concentrating to stay away from jamming and to boost network life span. 07 30 2019 5098 5102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2421.078219 https://www.ijrte.org/portfolio-item/B2421078219/ CSED, MNNIT ALLAHABAD, Prayagraj, India. Mainejar Yadav Ranvijay CSED, MNNIT ALLAHABAD, Prayagraj, India. We know that the essential secret image sharing (ESIS) scheme differs from traditional visual secret sharing with respect to the essentiality of the shares. In ESIS, to reconstruct the secret image, threshold number of the shares are required which includes all the essential shares. All the shares are very sensitive because it carries the secret information. Hence, reliability and authenticity of the shares before the decoding of the secret image are required which prevents a participant from intentionally or unintentionally to provide invalid shares. Proposed method is a novel verifiable essential secret image sharing (VESIS) with multiple decryption. Multiple decryption means that the decoding and verification process is done by human visual system as well as by EX-ORing the shares. Apart from this, proposed scheme also eliminates unnecessary encryption constraints of VSS like pixel expansion, explicit codebook and the number of the participants and it is also required simple computation and O(k) complexity for the decoding process. 07 30 2019 2211 2220 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2424.078219 https://www.ijrte.org/portfolio-item/B2424078219/ CSE, Hyderabad Institute of Technology and Management, Hyderabad, India Pushpender Sarao In mobile ad-hoc network, throughput is very important performance parameter. It depends upon different other network parameters like speed of nodes, pause time, density of nodes. To obtain a desired throughput in mobile ad-hoc network, a fuzzy based throughput calculation work has been performed in this paper. In this work, DSDV routing protocol is implemented in two steps: one is fuzzy based system and another is network simulation based scenarios. Designing the rule based fuzzy system and evaluating the DSDV routing protocol in network simulator work is carried out in this research work. Throughput is considered as main performance parameter for evaluating the table driven protocol. Fuzzy system is designed using one input parameter throughput and four output parameters like pause time, maximum speed, node density, and maximum number of connections. An input will be given by the user and based on that input value; other output parameter values will be calculated by the fuzzy system. In network simulator based scenario, varying the maximum number of connections, maximum speed, pause times, number of nodes, different scenarios were generated and routing protocol’s performance is evaluated. 07 30 2019 2221 2228 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2426.078219 https://www.ijrte.org/portfolio-item/B2426078219/ Department of ECE, Bannari Amman Institute of Technology Sathyamangalam. Harikumar Rajaguru Monish Ramesh Department of ECE, Bannari Amman Institute of Technology Sathyamangalam. Manoranjith. K Department of ECE, Bannari Amman Institute of Technology Sathyamangalam. This paper aims to identify the rainy and non rainy period of the Indian Peninsular monsoon. The IMD observations were taken over a period of one hundred days from 23rd October 2018 to 30th January 2019 with ninety five wet days and five dry dates. Ten observational features like Max, Min and Average temperatures, Rain fall wind Speed, atmospheric Pressure, Illumination, Visibility, relative cloud density and relative humidity are acquired from the IMD data for peninsular India. These features are further reduced by four statistical parameters such as, mean, variance, skewness and kurtosis. Histogram plots show that the measured features and their statistical parameters follows a non linear pattern. Therefore, a group of five classifiers namely, non linear regression, linear regression, Expectation Maximization, logistic regression and Bayesian linear Discriminant are used to analyze the classification efficiency. All the classifiers attains more the 85% of Classification accuracy (average) in the both dry and wet spell period of monsoon observation 07 30 2019 3341 3346 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2430.078219 https://www.ijrte.org/portfolio-item/B2430078219/ Computer Science and Engineering, Vinayaka Missions Research Foundation, Salem, India. Jeswin Roy Dcouth Dr. K Somasundaram Computer Science and Engineering, AVIT, Vinayaka Missions Research Foundation, Chennai, India. Steganography is covert communication of a secret message hidden in a medium passed between the intended sender and receiver with no evidence that the work contains a hidden message. The paper proposes a heuristic approach in steganography to secretly embed message in the cover and make use of the Diffie-Hellman key exchange method to be passed on to a secure channel and to be extracted without being detected. Hence the proposed system is a hybrid crypto stego scehme. The study proposes a new and adaptive steganography method that provides multiple layer of security and adaptiveness in passing secret data which emphasizes on undetectability. 07 30 2019 1659 1663 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2434.078219 https://www.ijrte.org/portfolio-item/B2434078219/ Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia. Ahamad Zaki Mohamed Noor Fairul Azni Jafar Faculty of Manufacturing Engineering, UniversitiTeknikal Malaysia, Melaka, Malaysia. Muhamad Husaini Abu Bakar Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia. Shahruzaman Sulaiman Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim, Malaysia A seal manufacture factory located in Ipoh, Perak produces two types of seal available in the factory which are metal and plastic seals. Due to manual assembly, human operator tends to get fatigue for doing repetitive task in one long shift. When this occurs, minor error such as misplace or wrong orientation of jaw will occur. Moreover the jaw sometimes can be missing during transportation of work – in – progress to another process. The objective is to design a jig that have the ability to detect reverse and missing jaw so that the finish product which has the quality problem will be prevented from being shipped to customers. The jig must also have a flexibility to be used for other plastic seal product. For methodology, each and every stage was explained in detail. In result and discussion section, House of Quality (HOQ) was used to determine the highest criteria weightage. The important criteria which will be carried forward to Analytical Hierarchy Process (AHP) are 15.9% on flexibility and ease of maintenance, 15.4% on both ease of use and longevity of jig usage, lastly 15.2% for accuracy checking. The result obtain after AHP computation are Design 1 with 20.7%, Design 2 with 13.7%, Design 3 with 22%, Design 4 with 27.1% and Design 5 with 16.5%. Design 4 is selected due to the highest weightage after computation. Final selected design was justified according to characteristic needed in objective. 07 30 2019 2229 2237 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2436.078219 https://www.ijrte.org/portfolio-item/B2436078219/ Assistant Professor, Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India. Mrs. Ambika G. N Mr. Bhanu Pratap Singh CSE, BMS Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India. Ms. Bhavya Sah CSE, BMS Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India. Ms. Dishi Tiwari CSE, BMS Department of CSE, BMS Institute of Technology, Bangalore, (Karnataka), India. controlling and preserving the better air excellence has become one of the most indispensible events in numerous manufacturing plus metropolitan regions at present. The excellence of air is harmfully affecting payable to the various forms of contamination affected via the transportation, power, fuels expenditures, etc. The installation of destructive fumes is spawning the severe hazard for the class of natural life in developed metropolises. Through cumulative air contamination, we require implementing competent air excellence monitoring models which gathers the statistics about the absorption of air impurities and be responsible for calculation of air contamination in each zone. Hence, air excellence estimation plus calculation has come to be a significant study area. The superiority of air is exaggerated by multi-dimensional influences comprising place, time plus indeterminate parameters. The intention of this development is to examine the machine learning based methods for air quality prediction. 07 30 2019 4247 4252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2437.078219 https://www.ijrte.org/portfolio-item/B2437078219/ Hasan is doing his Ph.D. in Business Management at UniversitiSains Malaysia. Hasan AlMujainiis Anas Abudaqais Anas is doing his Ph.D. in Business Management at UniversitiSains Malaysia. Dr. Mohd Hilmiis professor in technology and innovation management at UniversitiSains Malaysia Malaysian oil and gas industry still have underperformed with high potential and industry had laid emphasis on efforts of organizational excellence with context of improving the corporate foresight. It has presence of moderating role of artificial intelligence in Malaysian oil and gas industry. Moreover, study was motivated through different findings inconsistent stated in literature on basis of relationship with organizational excellence with corporate foresight. These types of inconsistency have led for the emergence of innovative stream of research which had recommended the systematic investigation of different moderate variables that contributed to the relations among variable. Simultaneously with context to this study, various theories were employed as this comprises resource based view and social exchange theory to give insight within variables relationships in proposed conceptual framework. Apart from this, it has presence of survey questionnaire with random distributed to gas and oil quality’s 932 managers through Malaysia’s big five companies. In this aspect, total numbers of different regained questionnaires were 238 in which only 204 could be implied for purpose of analysis. Further, there is presence of employed correlation along with hierarchical regression analysis with purpose of analyzing the study variables with actual relationships. The outcome reflects positive relationship among principals of organizational excellence and the corporate foresight. While, artificial intelligence moderates the relationship between organizational excellence and corporate foresight. Lastly, this study has been summarized through offering managerial policy along with different theoretical and practical implications and even recommendations of basis of future studies 07 30 2019 3347 3355 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2439.078219 https://www.ijrte.org/portfolio-item/B2439078219/ Research scholar, Visvesvaraya Technological University, Belagavi. Manjunath D R Dr. Thimmaraju S N Professor, Dept. of Masters of Computer Applications, Visvesvaraya Technological University, Centre for Post Graduate Studies, Mysore The expeditious growth in manufacturing anvils industries has lead towards the development of tiny devices. This growth has motivated to develop small and battery-operated sensor nodes that are widely adopted for establishing the reliable wireless communication. The wireless sensor based communication is generally divided into hierarchal and geographical deployment. Hierarchical system based approaches are widely studied in this field, limited work is present in the field of geographical WSN. In this work, we focus on the geographical WSN. Generally, these networks suffer from energy efficiency and security related issues. Hence, in this work we preset a combined approach to address these challenges. In order to mitigate the energy sparsity issue, we develop geographical routing scheme which selects the neighboring node based on residual energy of the node and distance from the sink node i.e. the maximum residual energy node from the neighboring node which is having less distance from the sink node is selected as next-hop. Due to this approach, the path computation and other network parameters computation is not required hence it reduces the power consumption. Further, we address the security issues where we present Hash modeling to secure the location, Key Exchange model for authentication by using ECDH approach , later we present ECIS based encapsulation method for data security and finally, a trust model based security system is developed. The trust computation of node helps to the routing whether to select the node for next hop or not. This multistage security approach is called as Secure Hash, Authentication and Cryptography based geographical routing (SHAC-GR) protocol. The proposed approach is simulated using MATLAB simulation tool and the performance of proposed approach is compared with existing technique that shows that the proposed approach improves the network performance in terms of network lifetime, energy and packet delivery rate. 07 30 2019 2248 2247 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2420.078219 https://www.ijrte.org/portfolio-item/B2442078219/ School of mechanical Engineering, MIT-WPU , Pune Suraj D. Shinde Dr. Manojkumar D. Hambarde School of mechanical Engineering, MIT-WPU , Pune The objective of this research paper is to present steady state simulation model and EES program for design and thermodynamic analysis is used to predict the performance of single effect vapor absorption chiller. The working condition of steam is entering and exit to the generator. At that point, the program gives the thermodynamic properties of all purposes of the state, for example, design information each heat exchangers in the cycle and the overall performance of the cycle. The outcome is from EES program is utilized to contemplate the impact of structure parameters on cycle performance. In the conventional absorption refrigeration system dilute solution of LiBr is directly goes to the generator at inlet of generator in this type high heat source is required and increasing the area of the generator. In this paper is to present incorporation of heat reclaimer in the solution heat exchanger and the generator. The addition of one heat exchanger with increasing COP as well as reduced heat source and heat transfer area in the generator. This program gives the operating parameter at all state points, design value of all heat exchanger and design performance of the system. The refrigeration capacity of the system is 100TR. To check the performance of system by using changing flow rate of heat source, heat exchanger effectiveness. The output of this program and simulation results use for the sizing of new refrigeration system. 07 30 2019 2900 2906 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2443.078219 https://www.ijrte.org/portfolio-item/B2443078219/ Mechanical Engineering Department, ABES Engineering College, Ghaziabad.(Research Scholar Visvesvaraya Technological University,Belgaum Mr. Ravi Shankar Raman Prof (Dr.) Yadavalli Basavaraj Mechanical Engineering Department, Ballari Institute of Technology & Management, Ballari,India., In the present scenario there are various methods are available to improve and control the product quality of any organization but it is necessary to continue monitoring and measuring the process so that product quality can be maintain. Through this paper try to examined the various defects during capacitor manufacturing process by using fishbone and Pareto analysis. To analyze the various defects, three months data has been collected from October 2018 to December 2018 and analyze all the defects through fishbone and Pareto chart. The outcomes of the research show that the maximum problem was arises from the capacitor’s winding and welding process and have to mainly focus on those area so that defects can be controlled up to maximum extend. To minimize all the defects, prepare fishbone diagram which shows all the root causes of defects and afterward analyze through pareto chart. Now follow some suggestive action to reduces the defects and improve the overall quality of the capacitors. 07 30 2019 2248 2252 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2444.078219 https://www.ijrte.org/portfolio-item/B2444078219/ Mechanical Engineering Department, Sant longowal Institute of Engineering and Technology, Sangrur, India and Department of Mechanical Engineering, Maharishi Markandeshwar (Deemed to be University), Mullana, India Rahul Dev Gupta Pardeep Gupta Mechanical Engineering Department, Sant longowal Institute of Engineering and Technology, Sangrur, India Today, the appropriate use of precision machining to produce three dimensional miniaturized structures or micro devices is another challenging task. Thus, presently miniaturization has emerged as a thrust area of research. The micro components are normally provided with micro channels which are created by using micro tools with the help of nonconventional machining processes. The aim of this paper is to examine machining performance of making micro channels in pure-Ti using ultrasonic machining. The effect of abrasive type, power rating, slurry concentration, feed rate and abrasive size has been investigated on responses namely metal removal rate (MRR) and surface roughness (SR). Taguchi based L18 (mixed level) orthogonal array is selected for the planning of experiments. Finally, the validation experiments have been performed at suggested optimal settings for result reproducibility. 07 30 2019 6508 6515 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2446.078219 https://www.ijrte.org/portfolio-item/B2446078219/ Research Scholar, Manav Rachna University, Faridabad (Haryana), India. Sumita Mukherjee Dr. Prinima Gupta Professor, Manav Rachna University, Faridabad (Haryana), India. Dr. Felix Musau Professor, Riara University, Nairobi, Kenya. Data mining is the procedure of bringing out the earlier unfold justifiable, logical, intelligible, functional information from large databases, big data to deliver accurate prediction, decision and implementation systems in engineering, business, research and education world. Data mining will effectively introduce the computing strategies and techniques to retrieve the applicable and convenient information from combined large databases known as big data. This paper signifies and explains Big data, Data mining and the importance and ease of Data mining using big data as a back end for delivering appropriate forecasts, prediction and experimental prospective solution as a front end. 07 30 2019 4812 4818 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2448.078219 https://www.ijrte.org/portfolio-item/B2448078219/ Research Scholar, Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, India. Hamsa. S Dr. Ananth. A.G Department of Electronics and Communication Engineering, NMAMIT, Nitte, Udupi, India. Dr. Thangadurai. N Department of Electronics and Communication Engineering, JAIN (Deemed-to-be University), Bangalore, India. Phase change memory circuit has been designed to function as Non-Volatile memory circuit using 45nm and 90nm technology. The other non-volatile memory circuits like Flash and MTJ-MRAM are realized in 45nm and 90nm CMOS Technology in which their output behavioral characteristics, power and delay parameters are obtained in order to compare with performance of MTJ-MRAM and Flash memory circuits. The design has been carried out using Cadence Virtuoso – Electronic Design Automation (EDA) Software tool in Analog Design Environment (ADE), the advanced design and simulation is performed in virtuoso platform. The schematic for PCM is designed and simulations are carried out in 45nm and 90nm technology using a test environment. Further the work has been extended to design memory circuit that gives non-volatility which can be implemented for FPGA architecture. Existing FPGA architectures which are non-volatile based, have limitations and demands for a better computing memory to be integrated within. The present work brings out a novel Phase Change Memory design with better performance than existing flash based and anti-fuse based types of FPGAs and also better than MTJ-MRAM attributes. The present work compares attributes like power dissipation and delay of PCM with other non volatile memories used for FPGA architecture. Further PCM techniques indicate significant power and delay reduction when compared to MTJ-MRAM and flash memory circuit. 07 30 2019 2253 2257 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2454.078219 https://www.ijrte.org/portfolio-item/B2454078219/ Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India. M. Nikhitha Dr.M.A. Jabbar Computer Science and Engineering, Vardhaman College of Engineering, Hyderabad, India. Network security has become more important in this digital era due to the usage of information and communications technology (ICT). Data security is also one of the major issues in today’s world. Due to the usage of this ICT technologies threat to network is also increasing. So in order to solve these problems the researchers has developed IDS that deals with network traffic to identify the harmful users and hackers in the computer. In this paper, we designed a model for IDS for classification of attacks using K-Nearest Neighbor classifier algorithm. KNN is a supervised and lazy machine learning classifier, it shows its best performance in terms of accuracy and classifications. Experimental analysis was conducted on ISCX dataset to judge the implementation of model. The Experimental outcome shows that our suggested model recorded an improved accuracy of 99.96%. 07 30 2019 2258 2262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2458.078219 https://www.ijrte.org/portfolio-item/B2458078219/ Research scholar, Dr.SNS Rajalakshmi college of Arts and Science, Coimbatore ,Tamilnadu, India. Vijayakumar. R Dr.Karthikeyan. K Assistant Professor & Head2 Government Arts and Science College, Palladam, Tamilnadu, India. A fusion scheme in multimodal biometric system is proposed in the name of Multimodal Feature Template Matching (MTM) system derived from the two picture fused values of average point and weighted assessment point. The main objective of MTM algorithm is to design the average point fusion and weighted average point by fusion of Iris and fingerprint features. The MTM algorithm is assigned with avgweights based on their verification accuracy. A hybrid approach of combining biometric image level information id presented. The raw information is merged at image level. This integration addressed, provides a small template and resilience to attacks. However it does not improve the recognition performance, but the performances is also less combination to its unimodal counterpart. Confidence level integration of compatible features of two different uncorrelated biometric traits fingerprint and iris provides sustainable improvement in performance accuracy compared to other integration methods as well as best unimodal system. Fingerprint and iris integration approaches presented in this proposed are more robust and reliable. 07 30 2019 5103 5110 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2459.078219 https://www.ijrte.org/portfolio-item/B2459078219/ Assistant Professor, Department of CS, S R Engineering College, India Divya Byri Kafila Assistant Professor, Department of Business Management, S R Engineering College, India Srinivas Aluvala Assistant Professor, Department of CSE, S R Engineering College, India. Big data defines the substantial volume of data that could be refined as well as examined utilizing modern technology to obtain service market values that will certainly aid institutions to obtain one-upmanships. The present paper targets to build an all natural model that features the elements that would certainly have an effect on the effectiveness or even failing of the application of big data in companies. Additionally, this analysis checks out the chances that companies would certainly achieve coming from applying big data, along with the difficulties that might impair this execution. The model is actually established based upon 3 sizes including carrying out data technique (institution), joint understanding laborer (folks) as well as carrying out data analytics (innovation). 07 30 2019 2263 2266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2460.078219 https://www.ijrte.org/portfolio-item/B2460078219/ Research Scholar, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Mr. Mengistu Guliti Buba Dr. Debi Prasad Das Assistant Professor, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Mr. Sanjaya Kumar Ghadai Research Scholar, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Dr. Anil Bajpai Director, School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. Worldwide several firms have suffered a lot of problems in inventory management which concerns their operational achievement. Good inventory management is a means to improve customer service and reduce stock. The objective of inventory management is to handle it in a most reasonable cost and remove the constant accumulations for continuous developments. This paper brings out how to assess the effect of integrated inventory management practices on organizations representation of some selected universities in Amhara region, Ethiopia. To remain competitive, inventory accounts needs a huge capital of an organization and must have a good management in the overall flow of resource from the initial purchase to final usage. Generally, the goal of every business is to hold little inventory and keep their business running. So, those universities in this region have hold a little inventory and make their organizations run well, even determine how much they do have in their store and determine for how long it will serve them. 07 30 2019 1664 1668 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2461.078219 https://www.ijrte.org/portfolio-item/B2461078219/ Department Of Computer Engineering, Marthwada Mitra Mandal’s College Of Engineering, Pune. Akshay Karale Harmmet Khanuja Department Of Computer Engineering, Marthwada Mitra Mandal’s College Of Engineering, Pune. The Blockchain for Education platform helps us to make the tamper-proof certificates and their correct and the overall permanent allocation of these certificates to learners, as well as verification of certificates. It can reduce the overall frauds and tampering of the degrees and certificates. Blockchain technology can be used to solve many educational problems and can help educators as well as learners to monitor the learning outcomes. The data can be stored securely and tamper proof format when it’s stored onto the blockchain network. Here smart contracts can be designed and deployed on to the Ethereum blockchain that can be designed using the solidity programming language. Blockchain can be applied to private, public and consortium sectors depending upon the usage and the scope of the blockchain. Education system can take benefit of this scalability of the blockchain and can be effectively useful in the educational institutions. 07 30 2019 3823 3828 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2462.078219 https://www.ijrte.org/portfolio-item/B2462078219/ Dept of Computer Science &Engg, GMR Institute of Technology, Andhra Pradesh M Ramachandro Ravi Bhramaramba Dept of Information Technology, GITAM, Andhra Pradesh The huge amount of data being generated by different organizations and its underlying advantages in multiple fields like decision making, data security, research purposes have made data classification a very important and mandatory process now-a-days. Data Classification is the process of grouping data of similar characteristics into categories. Classification can be done based on the output we are looking forward to. Hence it is considered very useful. Classifying data allows us to predict the nature of future data-sets and discover useful patterns among them. This project aims at classifying gene data sets. Gene data sets are the information collected from a set of genes put to a specific test. It can be used for medical research purposes; by studying the pattern in the datasets allows us to predict the kind of genes that are more vulnerable to a particular disease there by allowing us to prevent the manifestation of the disease right at its beginning, just as they say, prevention is better than cure. In this paper, such classification is effort using a supervised machine learning algorithm – SVM (Support Vector Machine). There are many algorithms in existence to perform classification but this algorithm has its own lead over the others. It is capable of both classification and regression. It works well with structured, semi-structured and unstructured data too. It contains a kernel function which when used appropriately can solve any complex problem. The summary of this project is, taking gene data sets as input and obtaining classified clusters as output. 07 30 2019 2907 2913 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2463.078219 https://www.ijrte.org/portfolio-item/B2463078219/ Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation. Vasiliy Vladimirovich Tkachenko Tatyana Viktorovna Lukyanenko Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation. Zhanna Alexandrovna Shadrina Kuban State Technological University, Krasnodar, Russian Federation. Research objectives. The paper describes the process of development of a set of mathematical models for assessment of agricultural production technologies to be used as the basis of a software complex module for managing technological processes in crop farming. The reported study was funded by RFBR according to the research project № 18-37-00148. Methods. Given the specifics of management in agriculture, it is worth noting that the lack of objective information across the production cycle in crop farming and the subsequent misalignment with an optimum technology results in overshooting labour and material costs, lost profits for the enterprise or even losses. These issues have to be addressed through advanced studies of economic and mathematical models and methods for analysis and assessment of economic efficiency of agricultural crop cultivation technologies and the development of a comprehensive automated information support system for decision-making in crop farming management. Results. A methodology is proposed for selecting economically efficient technological processes in crop farming, involving the sequential application of results obtained through the analysis of technological process criteria by the methods of binary decision matrices, cobweb diagrams and the matrix assessment model, taking into account their orientation at the economic performance of crop farming. Practical significance and applicability of results. The authors developed a complex of software and information support and assessment of technological processes in crop farming, with experimental trials showing improved efficiency of crop farming production through the well-reasoned selection of agricultural crop cultivation technologies. 07 30 2019 3829 3833 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2464.078219 https://www.ijrte.org/portfolio-item/B2464078219/ Plekhanov Russian University of Economics, Moscow, Russian Federation. Irina Anatolievna Kiseleva Natalia Alekseevna Sadovnikova Plekhanov Russian University of Economics, Moscow, Russian Federation. Mikhail Vladimirovich Karmanov Plekhanov Russian University of Economics, Moscow, Russian Federation. Vladimir Ivanovich Kuznetsov Plekhanov Russian University of Economics, Moscow, Russian Federation. Mikhail Samuilovich Gasparian Plekhanov Russian University of Economics, Moscow, Russian Federation. The global experience of leading companies indicates that successful development of a firm – in particular, of a consulting firm – and improvement of its performance are impossible without a properly formulated strategy as a set of measures aimed at achieving a certain goal. The relevance of this article lies in the fact that operation of any enterprise is accompanied by risks, which necessitates formation and application of a business strategy within the competences of various departments. Attempts to research and develop the business strategy for a consulting company are made in this article. The current businesses are run in a highly competitive environment. Taking adequate decisions requires a deep, comprehensive assessment of the situation and a reliable forecast of the outcome. The key stages of developing a business strategy for a consulting company are identified, possible alternatives to the strategic choice are defined, measures to monitor the implementation of strategic decisions are found, and foreign and Russian examples of building the business strategy for a consulting company are provided. 07 30 2019 3834 3838 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2465.078219 https://www.ijrte.org/portfolio-item/B2465078219/ Department of Computer Science and Engineering, KLS’s Gogte Institute of Technology, Belagavi, India. Prasad. M. Pujar Harish. H. Kenchannavar Department of Information Science and Engineering, KLS’s Gogte Institute of Technology, Belagavi, India. Umakant. P. Kulkarni Department of Computer Science and Engineering, SDMCET, Dharwad, India. Water Technology is a new approach for assessing water quality. Water technology is the method by which the water quality can be improved so as to accept the water for a specific use. In this paper, an IoT based water quality assessment has been carried out. The IoT system consists of electronic devices and associated sensors to capture water quality. Experimental samples for water quality check were chosen from, river Malaprabha. The water samples are collected from a water quality monitoring station near Khanapur town, Belagavi district, in the state of Karnataka, India. The water quality parameters assessed here are temperature, pH, Dissolved Oxygen (DO), Total Dissolved Solids (TDS), Biological Oxygen Demand (BOD), Conductivity and Nitrate (NO3). The proposed IoT system collects the real-time water quality data at every regular time interval. The need for real-time assessment is because, in recent years the water is getting polluted at an alarming level, due to urbanization and industrialization, that results in pollutions like an Urban waste, industrial waste, and agricultural waste, etc... disposed into water. Thus making, the use of water even harder for day-to-day anthropogenic activities. The IoT system developed can be used to monitor and assess the water quality parameters. 07 30 2019 3839 3844 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2466.078219 https://www.ijrte.org/portfolio-item/B2466078219/ Research scholar, Dept. of ECE, JNTU Kakinada, A.P, INDIA. Nancharaiah Vejendla Dr.R. Ramana Reddy Professor & Head of ECE, JNTUACEP, Pulivendula, A.P, INDIA. Dr.N. Balaji Professor, Department of ECE, UCOE, Narasaraopet, JNTUK, A.P, INDIA. In this research paper, CMOS and FinFET based hybrid Full Adders operating at low voltages with low power dissipation are proposed. The proposed CMOS based circuit is compared with few existing hybrid full adders in terms of average power dissipation and power-delay-product (PDP). The designed CMOS based hybrid adder achieves lower power dissipation and low PDP compared to other hybrid adders over a voltage range of 0.6V to 1V. The proposed CMOS implementation of hybrid full adder fails at 0.5V to produce full swing output. To solve this full swing problem, the proposed hybrid full adder is implemented using FinFETs which produce full output voltage, lower power and low PDP comparing with CMOS implementation. The circuits are designed with HSPICE tool in 32nm predictive technology model (PTM). 07 30 2019 4253 4262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2468.078219 https://www.ijrte.org/portfolio-item/B2468078219/ Department of Computer Science, Kristu Jayanti College (Autonomous), Bengaluru, India. Ranjitha M Ultrasound imaging is one of the safest techniques for disease diagnosis which can be used in any part of the body. One of the major reason for using ultrasound images is the cost when compared with MRI, PET etc. Further, it is free from any radiation exposure and is an efficient technique for initial diagnosis. This paper concentrates on segmentation of kidney from abdominal ultrasound images. There are many common ailments affecting kidney and hence conducting study on this segmented image becomes easy with an efficient segmentation technique. Various algorithms to pull out kidney regions from abdominal ultrasound images which are discussed by many researchers are also investigated in this paper. One of the major drawback of ultrasound image is that due to the complicated internal organs of the abdominal region, extraction of only kidney region is very challenging. This paper proposes a new technique where the collected abdominal ultrasound image is cleaned, to remove unwanted noise produced due to various interferences. After applying the filtering technique, kidney region is segmented. This extracted kidney image is subjected to Region indicator contour segmentation method to extract the renal calculi which is the region of interest in this study. The method is experimented with a reasonable number of dataset and applied the statistical performance test to check for the accuracy. 07 30 2019 5480 5483 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2469.078219 https://www.ijrte.org/portfolio-item/B2469078219/ Delhi Technological University, Delhi, India. Kapil Sharma Sandeep Tayal Delhi Technological University, Delhi, India. In the last decade, sensible urbanization gains additional quality in international urban designing. The term “Smart City” is essential to mix multiple info and communication technology (ICT) to manage the town. Nowadays, additional individuals prefer to board associate geographic area for sensible living. Therefore, the researcher/urban planner is developing “Smart City” models supported essential dimensions, governance, economy, setting, people, mobility, and living — theses existing customary model and definition designed by that specialize in European and American cities. The necessity for Indian sub-continent “Smart City” model has arisen through an associate initiative taken by Indian prime minister in 2014 to develop one hundred sensible cities. So, paper, Indian “Smart City” model defines with new dimensions Demographics Profile, Economic Profile, Infrastructure Profile, e-Governance& Computerization, Finance, Environmental, Progress Track, and Security per sub-continent of India. The model has eight dimensions and eighty indicators for a city. The distance-based algorithm (DBA) is used to rank the Indian “Smart City.” This algorithm decides on the bases of multiple indicators of the Indian “Smart City.” The Indian “Smart City” ranking is measure as per the computed distance of optimum values of indicators. 07 30 2019 4820 4832 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2472.078219 https://www.ijrte.org/portfolio-item/B2472078219/ School of Advanced Sciences, Division of Mathematics, Vellore Institute of Technology, Chennai, India. Mohana. N Kalyani Desikan School of Advanced Sciences, Division of Mathematics, Vellore Institute of Technology, Chennai, India V. Rajkumar Dare Department of Mathematics, Madras Christian College, Tambaram, Chennai, India. Parallelism is a process by which a sequential string is broken down into a number of alphabets and used to speed up the acceptance of a string. To identify the parallelisable string, we have used parallel operator || and defined the language as parallel series languages. Algebraic and recognition properties of series parallel posets have been studied by Lodaya in [8]. In this paper, we have introduced finite and infinite parallel series language (parallel strings are connected sequentially). We have considered the set of all parallel series language as topological space and prefix order relation (poset relation) has been used to relate two parallel series strings. Topological concepts like limit, sequence, open set, closed set and basis for parallel series languages and their properties have been derived. 07 30 2019 2267 2270 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2483.078219 https://www.ijrte.org/portfolio-item/B2483078219/ PhD, Department of Computer Science, Bharathiar University Coimbatore Tamil nadu, India. Mrs.S. Sindhuja Dr. R. Vadivel Assistant Professor Department of Information Technology, Bharathiar University, and Coimbatore Tamil nadu, India. MANET is a self-configuring, autonomous and infrastructure less network. MANET has received its popularity by its easy installation and usage at any environment. Sudden change in the network topology may lead to enormous challenges in finding and maintaining the optimal route between source and destination. The nodes in MANET can leave the network at any time which causes route failure leading to consume more energy in finding the alternate route. Routing is one of the top issues in network research domain and it prefers to find and maintain the routes among the nodes. In this paper flexible particle swarm optimization-based routing protocol is proposed to avoid route failure and energy consumption. The proposed protocol is designed to have increased communication between the particles in the swarm and this results in finding the best route towards the destination. This research work utilizes the benchmark performance metrics to measure the performance of proposed protocols against the existing routing protocols. The result shows that the proposed protocol outperforms than the existing routing protocols. 07 30 2019 2914 2919 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2500.078219 https://www.ijrte.org/portfolio-item/B2500078219/ CSE Department, Kalinga University, Raipur, India. Dr. D. P. Gadekar Dr. N. P. Sable CSE Department, Kalinga University, Raipur, India. Dr. A. H. Raut CSE Department, Maharishi University of Information Technology, Lucknow, India. Cloud computing is come out as computing network throughout web. Cloud information pamper accumulating of the data within the cloud additionally has sharing qualifications amid manifold clients. Since malfunction of human being or hardware and constant software package blunder, cloud information is interrelated to information veracity. Numerous systems have been anticipated in order to tolerate equally the data proprietors as well as the community auditors to review cloud data truthfulness unmistakably devoid of salvage the intact data commencing the cloud servers. A third party inspector can carry out reliability inspection and also the distinctiveness of the signer on collective information which is held in reserve private from them. Throughout this work, exploration for auditing the truthfulness of public information surrounded by the cloud with imaginative client deletion whereas immobile protecting distinctiveness seclusion. This work have predisposition to additionally improve presented method; formerly any patron revolutionize the consequence from table then it have a predisposition to scrutiny that is import and repeatedly refurbish inventive value. 07 30 2019 2271 2273 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2504.078219 https://www.ijrte.org/portfolio-item/B2504078219/ Mechanical Engineering Department, Jadavpur University, Kolkata, India Subhas Chandra Moi Pradip Kumar Pal Mechanical Engineering Department, Jadavpur University, Kolkata, India Asish Bandyopadhyay Mechanical Engineering Department, Jadavpur University, Kolkata, India AISI 316L stainless steel materials of thickness 3 mm have been united by tungsten inert gas (TIG) welding in square butt joint configuration as per Box-Behnken design technique of response surface methodology (RSM) to indentify the effects of input parameters on the quality of the TIG welded joints. The output responses have been measured after experimentation. Mathematical correlation between input parameters and output responses has been developed using RSM. The factors which influences on responses have been analyzed by generating the response surface and contour plots. Desirability function analysis (DFA) is employed for finding optimum parametric setting to achieve the most favourable mechanical properties. Microstructures of welded samples are also investigated to correlate the metallurgical-mechanical characteristics of the welded specimens. The result indicates that at the intermediate values of welding parameters create fine grain structure and superior mechanical properties. 07 30 2019 5348 5354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2709.078219 https://www.ijrte.org/portfolio-item/B2509078219/ Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia. Rincy Merlin Mathew R. Suguna Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. M. Shyamala Devi Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. The technology advancement in Internet of things has benefitted many real time scenario to emerge as a smart applications. The block chain technology is the recent advancement in the current world which facilitates on time operation upgradation to all the nodes. This prohibits the private process execution that leads harm to the application. It also enhances the authorization of work done by any individual and everyone in the network are aware of the job done by others. It is facilitated by the maintenance of the distributed ledger in the block chain system. The consensus and smart contract software is constantly processed by the block chain to prevent the entry of illegal users into the network. Due to cast advantage of blockchain and internet of things towards security and privacy, it is mainly focused to adapt these technologies in the banking, credit card transaction, trading and online applications. With this exploratory study, we focus to integrate the blockchain and internet of things to provide security and privacy to a greater extent. This paper attempts to design a Blockchain Integrated IOT Based Smart Home that effectively monitors the home and arrest the entry of harmful users. The famous private Blockchain software Ethereum blockchain is utilized to implement the smart home architecture and the obtained results are also for implementation and the results are also conferred. 07 30 2019 2274 2279 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2511.078219 https://www.ijrte.org/portfolio-item/B2511078219/ Priyadarshini Institute of Engineering and Technology, Nagpur, Maharastra, India Dr. Archana Potnurwar Dr. Shailendra S. Aote Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharastra, India. Vrushali Bongirwar Shri Ramdeobaba College of Engineering and Management, Nagpur, Maharastra, India. The traffic flow forecasting is very important aspect of traffic predication and congestion. It alleviates the increasing congestion problems that cause drivers to shorten the travelling duration required and prevent financial loss. Increasing congestion is one of the severe problems in big city areas. The aspect of traffic prediction is that it may give drivers to plan their traveling time and traveling path, based on the predictive data information they have. The aim is to design locally weighted regression model by proposing a method, which is a combination of Genetic algorithm and locally weighted regression method. This model helps to achieve optimal prediction performance under various traffic condition parameters. The time series model is used to predict the forecast value for the accurate assumption of the traffic volume generation according to the road capacity. The GA model results show these kind of predictions always be useful for highway road authorities. 07 30 2019 4264 4268 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2512.078219 https://www.ijrte.org/portfolio-item/B2512078219/ Research Scholar, Bharathiyar University, Coimbatore,Tamilnadu, India. Premila Rosy The advent of cloud computing has revolutionized the option of sharing cloud resources among the cloud users for minimizing the cost overhead. But, the cloud data security is considered as the predominant issue that need to be addressed through the implementation of privacy preserving approaches that sustains and prevents the cloud resources and users from being compromised by the malicious intruders. In this paper, a Pseudonym-based Privacy Preservation Framework (PBPRF) is proposed for understanding its potential towards the accuracy and privacy preservation of cloud data based on the concept of P-Gene. This proposed PBPRF incorporates the benefits of the P-Gene which is responsible in the cloud space for providing security for the stored and utilized private data in the cloud that are periodically exchanged with the clients of the cloud environment. This proposed PBPRF scheme ensures secure sharing of data by relying on a trustworthy data aggregation scheme which is fully dependent on erasable data hiding technique. The simulation experiments and results of the proposed PBPRF mechanism is compared with the baseline PRIAS and TPAAAS techniques in terms of pseudonym generation cost, pseudonym verification, execution time and pseudonym verification time under batched and separated environment. 07 30 2019 6516 6526 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2514.078219 https://www.ijrte.org/portfolio-item/B2514078219/ Mechanical Engineering Department, Basaveshwara Engineering College, Bagalkot, Karnataka, India. Shivanand Dr. Shravankumar B. Kerur Mechanical Engineering Department, Basaveshwara, Engineering, College, Bagalkot, Karnataka, India Hybrid materials are an attractive option in case of aerospace and aviation applications since they are exceptionally strong. The current study presents the failure analysis of the hybrid material in ANSYS software. The main aim of this study is to check the suitability of the MATLAB results obtained from the previously selected composite material comprising of carbon steel + epoxy + S glass + T700 fibres using ANSYS software by creating a solid three-dimensional meshed model of the shaft. Layerwise shaft theory and finite element analysis have been employed for developing the model. The thermal analysis, delamination and buckling failure studies are conducted and found that increasing the thickness of the material will increase its load withstandability. The load failure point is found to be 8.4mm from the delamination studies. From analysis it was understood that the chosen composite material could be used for the propeller shaft of an aircraft. 07 30 2019 6422 6428 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2518.078219 https://www.ijrte.org/portfolio-item/B2518078219/ M. tech Scholar, ECE Department SHUATS, Prayagraj, India. Shovita Verma Rajeev Paulus Assistant Professor, ECE Department, SHUATS, Prayagraj, India. Aditi Agrawal Assistant Professor, ECE Department SHUATS, Prayagraj ,India Manvendr Assistant Professor ,ECE Department SHUATS, Prayagraj, India. In this research work, we propose two realistic mobility models named as location based realistic mobility model and route based realistic mobility model. In location based realistic mobility model speed and velocity is updating and route based realistic mobility model implies how many routes are available. With these models the targeted position is set and vehicles are moving according to the same position. Hence the problem of routing is resolved which is encountered in existing realistic mobility model. For implementation of our models, we use open source software named as network simulator NS-3 and traffic simulator MOVE with SUMO. We also compare our models with the existing realistic models in terms of performance matrices: packet loss, throughput and transmission delay. Since the vehicles are moving according to targeted position, so as application aspects we predict accidents and lots of traffic and with the help of prediction we will choose some optimal solutions. 07 30 2019 5111 5116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2519.078219 https://www.ijrte.org/portfolio-item/B2519078219/ Research scholar, Department of Mechanical Engineering KoneruLakshmaiah Educational Foundation (Deemed to be University), Vaddeswaram K.S.K. MALLIK K.V. RAMANA Professor, Department of Mechanical Engineering KoneruLakshmaiah Educational Foundation (Deemed to be University), Vaddeswaram This work highlights an experimental investigation on the surface roughness and hardness of a nano composite, which can replace the liner of a journal bearing. There is a possibility of rotation of bearing liner, due to inconsistent rotation of the journal about its geometrical axis. At the same time, the liner may have sliding action inside the bearing over a period of time. The said drawbacks can be eliminated by replacing the bearing liner by a nano coat. Babbitt is the most widely used material for bearing liner. The Tin of Babbitt alloy has been replaced by cadmium due to its low coat and better mechanical and thermal properties. The results show that, Cadmium is offering better surface roughness and hardness in comparison with the Babbitt. 07 30 2019 2280 2282 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2522.078219 https://www.ijrte.org/portfolio-item/B2522078219/ Asstiatnt Professor, Civil Engineering Department, Sri Venkateshwara college of Engineering, Bangalore, Karnataka, India, PRIYANKA S D H YASHASVINI Asstiatnt Professor, Civil Engineering Department, Sri Venkateshwara college of Engineering, Bangalore, Karnataka, India, SUDHAKAR H V Asstiatnt Professor, Civil Engineering Department, Alpha college of Engineering, Bangalore, Karnataka, India, Steel is commonly used as reinforcement, the cost of the steel is increases day by day, during the fabrication of steel emits the Co2 and it consumes high energy, for this reason bamboo is substituent material for the reinforcement. Scarcity of aggregate due banned quarries, the industries waste like broken roof tiles cause the environmental pollution, so it can be replaced as a coarse aggregate. In this paper aptness of bamboo used as reinforcement in RC beam with different percentage of roof tiles are replaced as a coarse aggregate. For the bamboo compressive strength, tensile strength and different treatment are performed. The beams are having size 2mx230mmx300mm, strength parameters are compared with conventional beams the roof tiles are replaced 0%, 20% ,40% , 60% and cost comparison are done. 07 30 2019 2920 2925 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2523.078219 https://www.ijrte.org/portfolio-item/B2523078219/ Assistant Professor, Jindal Global Law School, O.P. Jindal Global University, Sonipat, India. Sabyasachi Dasgupta Priyadarshani Jain CEO, Management, BrandMavs, Mumbai, India. Among preventive products, communication of condom usage through diverse advertisements have always occupied the centre stage targeting male audience majorly. The critical observation at the communication trends of these advertisement put forward, the portrayal of condom advertisements have undergone significant changes in the last one decade with the globalization and feminist movements being stronger than before. According to the report “Condom Market”, U.S. demand for condoms is expected to reach USD 1,563.95 million in 2020, growing at a CAGR of 3.5% between 2015 and 2020. A Few studies have tried to gain insight on changing trends and its relation with changing outlook among individuals. The research focusses on the critical analysis of the changing discourses in condom advertisements and understanding its effectiveness with respect to today’s evolved audience. The purpose is to identify whether the condom advertisements have been dynamic enough to capture the changing mind-set of the consumer and measure the extent of impact. For study implementation, quantitative methods are used to explore important parameters from condom communication research and evaluate the changing discourses of condom advertisements in the last one decade. The five parameters that this paper would undertake are: Preparatory behavior (sexual cues); Portrayal of gender; Textual discourses; Visual discourses and Target Audience. The study showed which parameters have undergone change over the last one decade and which have remain constant. Comprehensive study will lead to advertisers in finding feature-efficient way of telling buyers what is for sale. Medical practitioners and health researchers will be benefitted in persuading people with meaningful communication of the preventive products. 07 30 2019 3423 3430 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2525.078219 https://www.ijrte.org/portfolio-item/B2525078219/ Department of Electrical and Electronics Engineering, Sree Vidyanikethan Engineering College, Tirupathi, India. V. Arun N. Prabaharan School of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, India. This paper deals a comparison of MATLAB based simulation of sinusoidal and trapezoidal PWM strategies applied to a trinary DC source nine level inverter fed R - load. The nine-level inverter fed induction motor drive is simulated only for that reference which provides better performance with R- load. Open loop and PI control schemes have also been developed for trinary DC source fed nine level inverter-based Induction motor drive to improve the responses under various sudden load changes at specified reference speed. The corresponding speed, torque and stator voltage are presented. Usual performance indices for transient operation of above drive are also evaluated and presented. 07 30 2019 5484 5490 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2527.078219 https://www.ijrte.org/portfolio-item/B2527078219/ Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea. Won Jin Chung Tae Ho Cho Department of Software Platform, Sungkyunkwan University, Suwon, Republic of Korea. Wireless sensor networks (WSNs) utilize event data collected through sensor nodes, which can be employed in different environments. Sensor nodes used in WSNs have limited energy and can be easily compromised by attackers since they are placed in the external environment. Therefore, energy efficiency and security are core requirements in WSNs, and various schemes have been proposed to solve them. The energy-efficient distributed deterministic key management scheme (EDDK) is a security scheme that uses distributed pairwise keys. The EDDK encrypts the packet using the pairwise key of the neighboring node, and transmits the encrypted packet securely to the base station (BS). In addition, the pairwise key shared with neighboring nodes is updated to defend against network attacks such as Denial of Service. However, the energies of the sensor nodes decrease rapidly in environments where key updates occur frequently. Further, since EDDK does not encrypt the sequence number, the attacker can manipulate this sequence number. If such attacks are continually attempted, key updates occur frequently. This paper proposes a scheme that removes the local cluster key from the EDDK and instead uses a grid routing protocol. The proposed scheme reduces the number of key updates by removing the local cluster key. In addition, the proposed scheme constructs the routing as a grid and selects the sensor node nearest to the BS as the master node. the master node of the grid routing scheme transmits routing control messages to the corresponding sensor nodes. In this way, the proposed method improves the sensor network energy efficiency. Experimental results show that the energy efficiency of the sensor network is improved by about 7.8097% compared with EDDK. Additionally, since the proposed scheme removes the local cluster key, sequence number manipulation attacks can be avoided. As a result, the security rate of the proposed scheme is more than double compared with EDDK. 07 30 2019 5655 5661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2529.078219 https://www.ijrte.org/portfolio-item/B2529078219/ Ph.D. Research Scholar, Department of Computer Applications, Bharathiar University, Coimbatore, Tamil Nadu, India. R.Hepziba Gnanamalar Dr.Prof.T. Devi Professor and Head, Department of Computer Applications, Bharathiar University, Coimbatore, Tamil Nadu, India Lemon productivity faces many hurdles due to leaf disease. Human inspection of the stages of lemon leaf diseases is a tedious process, which consumes more time and sometimes leads to error. Without knowing the status of the leaf disease, spraying unlimited pesticides leads to many health issues as well as reduces the harvesting of lemon, which is used for medicine purpose. In order, to overcome such issues “Lemon Leaf Disease Grading System (LLDGS)” has been developed and the paper elaborately explains LLDGS which detects lemon leaf disease and its stages in order to reduce time and errors in diagnoses. Due to the rapid development of smart phones, LLDGS is developed using image processing techniques in android platform that would exceptionally help the farmers in the modern world. The research work is done especially for fungal disease because lemon plants are mostly affected by the fungal disease. The paper describes a novel algorithm for the design and development of LLDGS using image processing techniques to grade the lemon leaf diseases through a sample of 170 fungal diseased lemon leaf images. Finally, the paper presents the result and performance evaluation of LLDGS. 07 30 2019 2926 2930 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2608.078219 https://www.ijrte.org/portfolio-item/B2608078219/ Department of Electronics & Communication Engineering, Amruta Institute of Engineering & management Sciences, Bidadi, Karnataka, India. Anitha N Dr.Srividya P Department of Electronics & Communication Engineering, R V College of Engineering, Bangalore, India. In this paper, a parameter analysis of CNTFET is presented with different parameters variations such as gate to source voltage vgs, oxide thickness tox, gate oxide dielectric Kox, channel length L, source/drain spacer dielectric constant Kspa ect. All the parameters of CNTFET have been varied in CADENCE Virtuoso environment and verified with the preferred value of stanford VS-CNTFET model. 07 30 2019 5355 5359 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2609078219 https://www.ijrte.org/portfolio-item/B2609078219/ Department of Computer Science and Engineering, KLS Gogte Institute of Technology, Belagavi, India. Ramesh Medar Dr. Vijay S. Rajpurohit Department of Computer Science and Engineering, KLS Gogte Institute of Technology, Belagavi, India. Agriculture is the most important sector in the Indian economy and contributes 18% of Gross Domestic Product(GDP). India is the second largest producer of sugarcane crop and produces about 20% of the world's sugarcane. Sugarcane is cultivated in tropics and subtropic regions, on a wide range of soils from fertile well-drained mollisols to through heavy cracking vertisols, infertile acid oxisols, peaty histosols, to rocky andisols. Minimum moisture of 60cms, rich water supply and plenty of sunshine. In this paper, a novel approach to sugarcane yield forecasting in Karnataka, India region using Long Term Time Series(LTTS), weather-and-soil attributes, Normalized Vegetation Index(NDVI) and Supervised Machine Learning(SML) algorithms have been proposed. Sugarcane cultivation life cycle(SCLC) in the Karnataka region is about 12 months, with plantation beginning at three different seasons in weather condition. Our approach has been verified using historical dataset and results have shown that our approach has successfully modeled crop prediction. The application of the Custom-Kernel gives us a considerable boost in accuracy with SVM-Kernel Multiple giving 86.31% of accuracy, SVM-RBF kernel in second with an accuracy of 83.40%, GPR producing an accuracy score of 81.75%, Lasso giving an accuracy score of 26.81% and Kernel Ridge-RBF with the least accuracy score of 21.46% for final yield prediction. 07 30 2019 5662 5668 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2612.078219 https://www.ijrte.org/portfolio-item/B2612078219/ Associate Professor, Sri S.R.amasamy Naidu Memorial College, Sattur, Tamil Nadu, India K. Krishnaveni E. Radhamani Research Scholar, Sri S.R.amasamy Naidu Memorial College, Sattur, Tamil Nadu, India A methodology to inferAttention Deficit/Hyperactivity Disorder (ADHD) from the features of Caudate Nucleus using Linear Discriminant Analysis is proposed in this research work. A Brain Image Data Set containing 40, T2 axial Human ADHD Brain MR Images is created initially. The caudate Nucleus of each image is extracted with Fuzzy C-Means algorithm and stored in the Caudate Nucleus Data Set(CNDS). The texture, intensity and shape based features of CNDS is extracted, analysed and the features which are closely related to the inference of ADHD are identified. With the help of statistical measures and LDA classifier the input images are classified into ADHD and NOADHD classes and further the level of ADHD is identified as Mild, Moderate and severe ADHD images. The LDA classifier results show that out of 40CN brain tissues, 36ADHD images are found with reduced volume, contrast and intensity values compared to control group and 4 images are found with NoADHD. The performanceis evaluated by means of various classification metrics like Confusion matrix, Accuracy measures and Parallel Coordinates Plot. The LDA classifier yields90% of classification accuracy on CN dataset and reveals that the children with ADHD are found with low volume, contrast and Intensity values compared to normal group which suggests the neurologists to diagnose ADHD using Brain scan method instead of Medication or counseling. 07 30 2019 2931 2937 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2614.078219 https://www.ijrte.org/portfolio-item/B2614078219/ Postgraduate students Physical Education, Jakarta State University, Indonesia. Lecturer in Physical and Health Education Study Program, IKIP PGRI Pontianak, West Kalimantan, Indonesia. Muhammad Suhairi Moch. Asmawi Professor of Physical Education, Postgraduate Program, Jakarta State University, Indonesia James Tangkudung Professor of Physical Education, Postgraduate Program, Jakarta State University, Indonesia Achmad Sofyan Hanif Professor of Physical Education, Postgraduate Program, Jakarta State University, Indonesia. Firmansyah Dlis Professor of Physical Education, Postgraduate Program, Jakarta State University, Indonesia. SMASH expertise is a technique that can be pressed hard towards your opponent to produce numbers. Interactive multimedia technology for SMASH. The purpose of development is research to produce an interactive multimedia volleyball skills training model. The method used in this study was the development research design by Borg and Gall. The approach used in this study is a qualitative and quantitative approach. Volleyball playing skills training model. This study concluded that the model of playing interactive multimedia volleyball skills with the help of media can effectively and efficiently improve volleyball playing skills. 07 30 2019 2774 2781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2619.078219 https://www.ijrte.org/portfolio-item/B2619078219/ Assistant Professor, CSE, Sri Krishna College of technology, Coimbatore, Tamilnadu. Ms. P. Kalpana Due to the huge growth of internet usage, large volume of information flow has also been increased, which leads to the problem of information congestion. In unsupervised learning, clustering is consider as most important problem. Big quality, high dimensionality and complicated semantics are the difficult issue of document clustering.it focus on the way of identifying a structure from an unlabeled data collection. A cluster is a method in which the data items are identified and grouped based on the resemblance between the objects from a dissimilar object set. Decision of a good cluster, can be demonstrated that there is no absolute “best” criterion independent of the final objective of the clustering. A good document clustering scheme’s primary objective is to minimize intra-cluster distance between papers while maximizing inter-cluster distance(using a suitable document distance measure).A distance measure(or, dually, measure of resemblance)is therefore at the core of document clustering. This assessment gives an implication about the different methods(Vector Space Model, Latent Sematic Indexing, Latent Dirichlet Allocation, Singular Value Decomposition, Doc2Vec Model, Graph model), distance measures(Euclidean Distance, Cosine Similarity, Jaccard Coefficient, Pearson Correlation Coefficient)and evaluation parameters of document clustering. This work is theoretical in nature and aims to corner the overall procedure of document clustering. 07 30 2019 2938 2942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2624.078219 https://www.ijrte.org/portfolio-item/B2624078219/ Department of Environmental Studies, GITAM (Deemed to be University), Visakhapatnam-530045, Andhra Pradesh, India. Manoj Kumar Karnena Vara Saritha Department of Environmental Studies, GITAM (Deemed to be University), Visakhapatnam- 530045, Andhra Pradesh, India. Water quality along Coastal Zones of Srikakulam District in Andhra Pradesh, India was analyzed through seasons of pre and post of monsoon for determining water appropriateness towards consumption by means of water quality index (WQI). Present study included collection of sub-surface water samples from sampling sites which are designated as Mandal headquarters across the coastal line. Towards developing WQI, physicochemical analysis of samples was determined considering nine important parameters that included physical parameters like total dissolved solids, chemical parameters like pH, conductivity, ionic parameters such as calcium and magnesium, sodium and potassium, chloride and sulphate. The sampling sites are mapped using geographical information systems. GPS (Global positioning system) was employed to locate the coordinates in terms of latitude and longitude. Cation-anion correlation matrixes are plotted using piper plots from values of results obtained through physico-chemical analysis. Experimental results were subjected to statistical analysis using one-way ANOVA. The WQI index in the present study was obtained in the range of 57.6 to 989.1, indicating very poor-quality water in these sampling areas. Results illustrated that groundwater of the study area required treatment before used for consumption. 07 30 2019 4269 4278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2626.078219 https://www.ijrte.org/portfolio-item/B2626078219/ Assistant Professor, Department Of Information Technology ,Sri Sairam Engineering College Julie J Eniyan S Student, Department of Information Technology, Sri Sairam Engineering College Sreeram G Student, Department of Information Technology, Sri Sairam Engineering College Srinivasa Raghavan M Student, Department of Information Technology ,Sri Sairam Engineering College In our Facial Recollection system, the facial pattern of a person is being noted during Livestream using LBPH algorithms. Faces can be detected through our camera which then reveals their identity on the screen. Faces can be identified through the collection of the previous image of the person and checking with spatial structure and arrangement. Hence we can then able to track the person of our interest. Simultaneous detection and identification of each and every individual within the frame video boundary can be made possible. Hence the image is then used to detect faces visible in the camera and then training the images and are stored in a database with a name given by the user. 07 30 2019 2214 2218 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2627.078219 https://www.ijrte.org/portfolio-item/B2627078219/ Mechanical Engineering Department, Assistant Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra, India Dr.Subhash Waghmare Dr. Nischal Mungle Mechanical Engineering Department, Assistant Professor, Dr. Babasaheb Ambedkar College of Engineering & Research, Nagpur, Maharashtra, India. Chetan Tembhurkar Mechanical Engineering Department, Assistant Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. Sagar Shelare Mechanical Engineering Department, Assistant Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. Nilesh Pathare Mechanical Engineering Department, Assistant Professor, Priyadarshini College of Engineering, Nagpur, Maharashtra, India. The importance of manhole in the sewerage system is to get the underground pipelines and alternative systems area unit in good shape. A manhole cover is a detachable plate setting the roof above the manhole opening, to prevent anything from dropping in, and to stay away from unauthorized persons and matter to fall in it. Manhole covers are usually manufactured of cast iron, concrete or combine both. This creates them economical, powerful, and dense, generally weighing more than 50 kg. The weight supports to maintain them in position when transportation moves across them and makes it complicated for an unauthorized person not having proper tools to remove them. The traditional method of removing the manhole with the assistance of the hook. So, to safely remove the manhole cover, many innovative and automated techniques are designed and used for analysis. In this paper, the finite element analysis of a power screw operated manhole cover is analyzed with the help of ANSYS R14.5. 07 30 2019 2782 2786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2628.078219 https://www.ijrte.org/portfolio-item/B2628078219/ Research Scholar, Rayalaseema University, Kurnool, AP, India (Associate Professor, Dept. of CSE, Malla Reddy Engineering College (Autonomous), JNTU-H Hyderabad, India) P.V. Ramana Murthy Dr. CH. G.V.N. Prasad Professor, Dept. of CSE, SICET(A), JNTU-H Hyderabad, India Online handwriting recognition or character recognition is the process in which a handwritten message is recognized by processing the handwritten data. It is the way toward changing over manually written characters to machine design. In penmanship, the strokes are made out of two arrange follows in the middle of pen down and pen up marks. Wide scope of highlights is extricated to play out thse acknowledgment. A complete internet hand-written recognition system for Indian language such as Telugu that addresses the ambiguities in separation just as recognition of buttons the recognition relies on conceptual model of penmanship structure joined with either a prejudicial model for stroke command. Such a methodology be able to flawlessly incorporate language and content data in the reproductive model then manage comparative and non-comparable strokes utilizing the single discriminative stroke grouping model. In this examination, we are utilizing disparate Legendre Sobolev conditions with the assistance of AI model, to such an extent that accomplishes 99.65% precision and improved the condition of craftsmanship esteem. 07 30 2019 2283 2288 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2511.078219 https://www.ijrte.org/portfolio-item/B2511078219/ Assistant Professor, Avanthi Institute of Engineering & Technology,Visakhapatnam, Andhra Pradesh P.Ashok Kumar Dr Ch.R.Phani Kumar Assistant Professor, GITAM Deemed to be University,Visakhapatnam, Andhra Pradesh Potential Risk From Exposure to EMF have been explored for a long time .Different research endeavours have tended to security rules to Protect the Human body from EM penetration. The study of Electromagnetic fields and non-ionizing effects on human body is a very useful due to possible health effects that these many electromagnetic field can cause in humans. At the point when an Electric or Magnetic field Penetrates into body ,it is weakened and some portion of is assimilated inside the body tissue. Impact of EM on Human body relies upon force of Electromagnetic field and distance of EM source to human body.Specific Absorption Rate (SAR) is a parameter used to estimate amount of energy absorbed by a human body.SAR Is depends on Frequency and Intensity of Electromagnetic wave. Broad Research is already done on Reduction of SAR in the case over usage of Mobile phones units but SAR minimization in Medical Application like MRI is always a challenge to Researchers. The advantages of Magnetic Resonance imaging (MRI) have made it the Radiological Method of Choice for an extraordinary Number of analytic Procedures,but the drawback is options are limited in the case of patients who are having implantable devices,The SAR Value is increased due to implantable devices because of temperature Rise. Leakage Magnetic field from the diagnosis instruments leads to hazardous to medical Personnel. this Paper is a initiated work on Study of SAR considering the intensity of electromagnetic wave and assessment of SAR in case of leakage of Magnetic field leakage. 07 30 2019 5495 5498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2631.078219 https://www.ijrte.org/portfolio-item/B2631078219/ Research Scholar Department Of Management Studies Jntua- Anatapuramu – A.P U M Gopal Krishna Dr. Aliya Sulatan Associate Professor Department Of Management Studies Rgmcet – Kurnool District – A.P Dr. T Narayana Reddy Associate Professor Department Of Management Studies Jntua – Anatapuramu – A.P Investment is the process of Allocation of money with the expectation receiving additional returns in the feature. In any investment risk is inherent. An investor will take decisions on financial investment avenue on basis of demographical factors, Socio - Economic factors, Life Style, etc.., and an investor can estimate the risk on particular investment avenue. Risk is an important factor that influences the financial investment decisions. In this study an attempt has been made to find out the impact of knowledge level on risk taking ability of investor and investors perception towards risk in various investment avenues at Kurnool district of Andhrapradesh. 07 30 2019 2675 2681 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2632.078219 https://www.ijrte.org/portfolio-item/B2632078219/ Russian Presidential Academy of National Economy and Public Administration (RANEPA), Moscow, Russian Federation. Oleg Fedorovich Shakhov Alexander Urevich Chernov Financial University under the Government of the Russian Federation (Financial University), Moscow, Russian Federation. Olga Valenrievna Kalashnikova Financial University under the Government of the Russian Federation (Financial University), Moscow, Russian Federation. Lola Dodohonovna Sanginova Financial University under the Government of the Russian Federation (Financial University), Moscow, Russian Federation. Mairbek Abuevich Katsiev Chechen State University, Grozny, Chechnya, Russian Federation. The article characterizes the transfer pricing in international markets, analyzes the “arm’s length principle” as the main principle of taxation of interdependent companies, the motivation of transfer pricing participants, the main features of the transfer pricing practice, and the system regulating the transfer pricing at the interstate level. Based on analyzing various aspects of information support for the transfer pricing system, it has been proved that the best approach to improving it is to establish a permanent document flow to substantiate the level of transfer prices and to further draw up management, financial and tax reports. The novelty of the study consists in the recommendations on the sequence of actions to form a unified system of document flow, and management and financial accounting that would provide management with the information on all transactions with affiliates. 07 30 2019 3845 3849 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2636.078219 https://www.ijrte.org/portfolio-item/B2636078219/ pursed Bachelor of Computer and Master of Computer Science from Dr. BAM University, Aurangabad, India. Miss.Pratibha R.Bhise Dr.Sonali B.Kulkarni Professor in Department of Computer Science and IT, Dr.BAMUniversity, Aurangabad Mr.Vipin Y. Borole Department of Computer Science & Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra. Agriculture is very important factor for all population in India. Indian economy and most of the peoples in India is totally depends upon agriculture and agriculture is depends upon soil quality. Soil provides various ecosystem services and also support to human health. To manage and preserve soil for future generations it is important to know more about soil. Soil quality is composed of its properties such as physical, chemical and biological and also categorized its nutrients in two sections like micronutrients and macronutrients. In soil quality soil macronutrients plays very crucial role for improvement of agriculture. To know about status of soil macronutrients various methods are needed. The main objective of this study is compare soil laboratory analysis methods and soil spectral analysis methods for quantitative estimation of soil macronutrients. With the help of these two methods we accurately predicted the soil macronutrients which helps in estimation of macronutrients and identifying the soil quality. In this study descriptive statistics is used for final estimation of soil macronutrients.We got better results using spectral analysis techniques compare to soil laboratory analysis techniques and this results gives contribution in agriculture sector and also helpful to farmers for taking decision related to crop. 07 30 2019 3092 3096 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2639.078219 https://www.ijrte.org/portfolio-item/B2639078219/ Assistant Professor, Department of Computer Science, Alagappa University, Karaikudi, Tamil Nadu, India. Sundar Santhoshkumar C. Balakrishnan Assistant Professor, Alagappa Institute of Skill Development, Alagappa University.ac.in. P. Subhasri Adjunct Faculty, Alagappa Institute of Skill Development, Alagappa University V. Lankeswaran Assistant Professor, Department of Bio Informatics, Alagappa University M. Sangeetha PG Scholar in Computer Science, Department of Computer Science, Alagappa University Dynamic web development [1] is one of the emerging fields in computer science. Dynamic updation [2] without disturbing the user environment is a challenging task. The modern technologies provide more support for dynamic web content development. The social network, user customization are the needful buzz words for a successful business on the web. The standard colors and static design with dynamic operations may get bored. Online bookselling and reading are one of the leading business industry in the world. The book readers are interested to know the feedback of a book before going to read or purchase. Today social media gives background information about anything in this world. For selling or buying well in digital medium every user needs some relevant information about the product. The searching and buying products based on the customer reviews are become increased. For that Web 2.0 and other new techniques and models are used to assist users during the search, promote products during the requirement and very useful in decision making. This work is extending the existing functionality to support the analytics. The proposed web analytics approach enables users to know about the same interest groups in the web portal and enables to collaborate. The new portal should be a social media platform for the readers. In the new portal, the end-user is not only a user of the application but also a participant by social networking, tagging, etc. 07 30 2019 6217 6219 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2641.078219 https://www.ijrte.org/portfolio-item/B2641078219/ Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India Manikanteswar reddy A Krishnakumar M Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India Saravanan R Department of Mechanical Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India The change in microstructure, hardness and corrosion rate of Ni-Hard 4 cast iron were studied after surface modification with Nitrogen mixed the Argon shielding environment. The microstructure of the modified layer was grains with the presence of nitrogen, observed under the optical microscope. An average of 1.37wt% of Nitrogen was observed in the modified layer during EDAX analysis. The presence of Nitrogen in the modified layer has formed FeN, Ni3N and Cr2N phases. The formation of nitride phases were confirmed during XRD spectral analysis. The hardness of the modified layer was taken along the depth direction. The hardness of the modified layer was improved from 578HV of the substrate to 1735HV of the modified layer. The electrochemical polarization test was conducted at a 3.5wt. % saline (NaCl) solution in both the substrate and the modified layer. The modified layer forms a protective layer over the surface and reduced the corrosion rate than the substrate 07 30 2019 5360 5365 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2642.078219 https://www.ijrte.org/portfolio-item/B2642078219/ Research scholar, SunRise university, Associate professor, Department of CSE, S R Engineering college, India Sandeep Chintham V. Thirupathi Research scholar, Osmania university, Assistant professor, Department of CSE, S R Engineering college, India Energy conservation in sensor networks is depending on duty cycle, data driven and mobility-based methods. Duty cycle methods use synchronous and asynchronous MAC protocols for saving the node energy. Data driven methods employs in-network processing, data aggregation and hierarchical sampling methods for minimizing the energy utilization. This paper delivers energy efficient strategies for information gathering and also a selection in WSN. 07 30 2019 2943 2946 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2644.078219 https://www.ijrte.org/portfolio-item/B2644078219/ Department Of Mechanical Engineering, M.A.M College of Engineering, Trichy, Tamilnadu, India. P. Mohan G. Vinothkumar Department Of Mechanical Engineering, M.A.M College of Engineering, Trichy, Tamilnadu, India. M. Thirulogachandar Department Of Mechanical Engineering, M.A.M College of Engineering, Trichy, Tamilnadu, India. Electrochemical grinding is combination of electrochemical machining and mechanical grinding process.in this process 90%-98% percentage of material are removed by electrochemical machining, only 3%-5% of materials can only remove by mechanical grinding process. Faradays law of electrolysis (or) reverse electroplating act as a basic principle for this ECG process. This ECG has various advantages than other machining process for high strength materials .low induvial stress, large depth of cut .here Monel 400 alloy take base material ,its Ni-Cu alloy so it’s have very high level corrosion resistance, so it’s used in marine engineering ,heat exchanger. Here silicon carbide abrasive insulated brass grinding wheel used instead of copper bonded diamond wheel. Voltage, electrolyte concentration, electrolyte flowrate take are the parameters of this process. Three factors and two levels of RSM methodology takes for optimization. The Analysis of variance (ANOVA) has been delivers the variation between the parameters performed to develop mathematical model. The parameters high voltage and concentration of electrolyte to produce maximum material removal rate. 07 30 2019 3219 3222 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2645.078219 https://www.ijrte.org/portfolio-item/B2645078219/ Computer science engineering, Hindustan Institute of Technology and Science, Chennai, India. M. Arivukarasi Dr. A. Antonidoss Computer science engineering, Hindustan Institute of Technology and Science, Chennai, India. Phishing over web is a saturating risk that speaks to fifth of online business sites. Regardless of the broad research in phishing sites location, none adapt with the nonstop improvement in phishing methods. Along these lines, a subjective, dynamic, and self-versatile phishing location framework is expected to consequently distinguish new phishing methodologies. Subjective Computing methods emulate the thinking and learning capacities of human mind. In this paper, we propose a psychological structure for phishing sites recognition. The structure utilizes an intellectual system called a bidirectional long momentary memory (BLSTM) intermittent neural system (RNN). Moreover, we incorporated a Convolutional Neural Network (CNN) for semantically distinguishing items and activities in sites' pictures. Existing phishing site discovery frameworks experience the ill effects of poor picture highlights execution as they utilize just factual and basic highlights of pictures. The system should outflank existing frameworks since it can gain from setting persistently identify new phishing strategies. 07 30 2019 3097 3102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2646.078219 https://www.ijrte.org/portfolio-item/B2646078219/ Department of Mathematics, Amity Institute of Applied Sciences, Noida, India. Poonam Agarwal Chandra Kant Goel Department of Mathematics, Amity Institute of Applied Sciences, Noida, India. In this paper the authors have introduced a new function on a bitopological space which provides us with a tool to develop a new bitopology. Various characteristics of the derived bitopological spacehav been studied. two new separation axioms have also been introduced over the bitopological spaces. It is interesting to see that the derived bitopology accepts these new separation axioms in a very natural manner. 07 30 2019 3103 3106 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2647.078219 https://www.ijrte.org/portfolio-item/B2647078219/ Moscow University for Industry and Finance «Synergy» («Synergy university»), Moscow, Russia. Irina V. Kosorukova Izolda A. Yagodkina Moscow University for Industry and Finance «Synergy» («Synergy university»), Moscow, Russia. Maria A. Shuklina Moscow University for Industry and Finance «Synergy» («Synergy university»), Moscow, Russia. Natalia A. Bondareva Moscow University for Industry and Finance «Synergy» («Synergy university»), Moscow, Russia. Irina Feodosiyevna Zhuckovskaya Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russia An analysis of differences in the capital structure and yield of public and nonpublic Russian companies is presented in the article, along with an analysis of the effect of corporate finance concepts – namely, of the capital structure and the relationship between risk and yield in the Russian reality. The concept of the interrelation of risk and yield is widely used in the Russian practice of valuation of business and investment decisions by using CAPM (Capital Assets Pricing Model) to find the value of the discount rate. How customary for the Russian reality is the understanding of the need to account for additional risks for nonpublic companies compared to public ones, common in the theory of corporate finance? This and some other questions are answered in this article. The results of the study have practical significance for investors interested in acquiring Russian assets. 07 30 2019 4328 4327 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2648.078219 https://www.ijrte.org/portfolio-item/B2648078219/ Civil Engineering Department, National Institute of Technology, Patna, India, Shubhm Dwivedi Sanjeev Kumar Suman Civil Engineering Department, National Institute of Technology, Patna, India, Shoulders are an important element of the highways that provide space for vehicles to stop during an emergency. A well-compacted shoulder provides structural firmness to a pavement by transferring overlying traffic loads to the underlying soil stratum. They provide lateral support to the pavement. In recent years, the use of non-destructive testing devices like Geogauge and Light Weight Deflectometer (LWD) has emerged in our country. The main reason behind this is the inbuilt ability of Geogauge and LWD in the fast estimation of the elastic modulus of a shoulder on top of their ease to port, being cost-effective, the capability to give more amounts of data, etc. Thus, there is a need to assess these devices. The main objective of this paper is to develop correlations between the parameter obtained from these non-destructive devices and destructive test parameterslike dry density and CBR. The tests were conducted on thirty-two locations of road shoulders at the city of Patna, India. Geogauge, LWD and sand replacement or sand cone testing were performed at different locations and soil samples were collected for determination of CBR and water content in the laboratory. The result of regression analysis shows that a significant correlation exists between moduli obtained from the devices under investigation and standard test results i.e. dry density and CBR. These developed correlations may be used by the road engineers for assessment of the quality of the shoulders. 07 30 2019 3107 3114 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2649.078219 https://www.ijrte.org/portfolio-item/B2649078219/ FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia. Ksenia V. Mashkova Maria Viktorovna Varlen FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia. Sergey Sergeevich Zenin FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia. Anri Lvovich Bartsits FSBEI of HE “Moscow State Law University named after O.E. Kutafina (MSLA)”, Moscow, Russia. George N. Suvorov Academy of Postgraduate Education FSBI FCMC FMBA of Russia, Moscow, Russia. The principles of correlation between self-regulation and state legal regulation of the relations related to genetic research have been discussed in this article. Today the development of genetics and applied genomic medicine has a direct effect on legal relations on protecting the rights and legal interests of an individual. The main goal of the study is to research regulatory legal acts, judicial practice, and doctrinal sources aimed at determining the optimal correlation of the beginnings of self-regulation and state legal regulation of relations related to genetic research. When writing the article, the methods of collecting and studying singularities, the generalization methods, the scientific abstraction methods, as well as the method of inquiry into regularities have been used. This study is characterized by using the experience of foreign self-regulatory organizations and professional associations involved in genetics. In their study, for the first time, the authors have substantiated the conclusion that the model of the optimal correlation of state regulation and self-regulation of legal relations related to genetic research is based on the following principles: 1) informed consent for genetic research and protection of the confidentiality of the obtained information, 2) participation of self-regulating associations of medical geneticists in developing national standards for the quality of medical services in genetic research, as well as the requirements for medical organizations and medical employees who provide them, and 3) legalization of the legal status of a person providing counseling services in genetic research and in associated areas related to defining a strategy for the treatment of genetically determined diseases and the use of assisted reproductive technologies (genetic counselors). In the article it has also been stated that it is necessary to define the legal mode of protecting the information obtained during the genetic research depending on classifying such research as a certain specific category – diagnostic, pre-symptom or prognostic (carried out to assess the vulnerability of an individual to a specific disease). Third parties can only access the results of diagnostic genetic research. 07 30 2019 3850 3855 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2651.078219 https://www.ijrte.org/portfolio-item/B2651078219/ Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India. Shivam Modgil Davinder Parkash Department of Electronics and Communication Engineering, Chandigarh University, Mohali, Punjab, India. In this paper, performance analysis of radio over fiber (ROF) system has been proposed to analyze the performance of the system using differential phase shift keying method. RoF Systems exhibits the unique characteristic of combining the featuring of fiber optic link and free space radio path which brings many advantages and challenges to new mobile networks. RoF systems has the provision of large bandwidth and has fewer losses for the transmission that make the ROF suitable for the future wireless broadband services and fulfill demands of high data rate. The proposed simulation model helps in improving the system capacity and their effects on the output in terms of Q factor, minimum BER is analyzed by using optisystem software. 07 30 2019 5117 5119 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2655.078219 https://www.ijrte.org/portfolio-item/B2655978219/ Department Of Computer Engineering, Marathwada Mitral Mandal’s College Of Engineering Pune ,India. Saudamini Deshmukh Prof. Geetha Chillarge Department Of Computer Engineering, Marathwada Mitral Mandal’s College Of Engineering Pune, India. Nowadays rapid development of cloud computing in smart healthcare system has significantly improved the quality of health. However, data security and user privacy are a major concern for smart healthcare systems. These days any kind of data can be used for malicious purposes. Many harmful entities constantly try to gain access to the personal data of internet users. This data includes sensitive information that doctors store of patients and is often stored using some kind of third party cloud providing service that is not very secure. To take care of this issue, in this paper, Symmetric Balanced Incomplete Block Design (SBIBD) is utilized for key Security so that unauthorized client can’t get access to the data easily. It also allows the patients immediate and easy access to the data using unique user ID. This system makes use of double encryption using Blowfish algorithm to ensure maximum security of data and the concept of block level is used where data is stored using multiple blocks. 07 30 2019 2947 2951 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2656.078219 https://www.ijrte.org/portfolio-item/B2656078219/ Department of CSE, NMAM Institute of Technology, Nitte, India. Sandeepkumar Hegde Rajalaxmi Hegde Department of CSE, NMAM Institute of Technology, Nitte, India. Huge amount of Healthcare data are produced every day from the various health care sectors. The accumulated data can be effectively analyzed to identify people's risk from chronic diseases. The process of predicting the presence or absence of the disease and also to diagnosing the various disease using the historical medical data is known as Health Care Analytics. Health care analytics will improve patient care and also the harness practice of medical practitioner. The feature selection is considered as a core aspect of the machine learning which hugely contribute towards the performance of the machine learning model. In this paper symmetry based feature subset selection is proposed to select the optimal features from the Health care data which contribute towards the prediction outcome. The Multilayer perceptron algorithm(MLP) used as a classifier which will predict the outcome by using the features which are selected from the Symmetry-based feature subset selection technique. The chronic disease dataset Diabetes, Cancer, Breast Cancer, and Heart Disease data set accumulated from UCI repository is used to conduct the experiment. The experimental results demonstrate that the proposed hybrid combination of feature selection technique and the multilayer perceptron outperforms in accuracy compare to the existing approaches. 07 30 2019 3316 3322 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2658.078219 https://www.ijrte.org/portfolio-item/B2658078219/ Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia Siti Noor Najihah Mohd Nasir Mohammad Kamil Sued Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Muhammad Zaimi Zainal Abidin Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, This paper presents the modelling of the mechanical properties of the bobbin friction stir welded of 6 mm thick AA1100 with control factors of spindle and welding speeds. Face-centered composite design (FCCD) was used to design the experimental work and the results of the responses and the combination of factors were analyzing through analysis of variance (ANOVA). From ANOVA, the result indicates that both spindle and welding speed influence significantly the tensile strength and average hardness at SZ of AA1100. The optimum factors for maximum tensile strength and average hardness of the AA1100 were 950 rpm and welding speed of 130 mm/min. Both models giving a relative small percentage error of 0.8 % and 1.64 % for tensile strength model and average hardness in stir zone (SZ) region, respectively, thus indicate the models were adequate. 07 30 2019 5366 5371 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2660.078219 https://www.ijrte.org/portfolio-item/B2660078219/ Professor, Dept of IT, Gudlavalleru Engineering College, Gudlavalleru Dr. M. V.L. N. Raja Rao T. Sumallika Asst. Professor, Dept of IT, Gudlavalleru Engineering College, Gudlavalleru P.V.M. Raju Asst. Professor, Dept of DBMS, Gudlavalleru Engineering College, Gudlavalleru V. Alekya Asst. Professor, Dept of IT, Gudlavalleru Engineering College, Gudlavalleru The main proposal of the Smart Banking System by using IoT is to develop a System that could be easy to use and accessible. IoT solutions make certain Banking & Financial Services (BFS) companies for improved tracking and analysis of client’s behaviors and requirements. In the dominion of interconnected "things", banks are testing better approaches for associating with clients to give them exhortation, and might exhibit money related offers through their cell phone as they stroll past specific stores. They could use a similar way to deal with give direction on sending a notice to "skip Starbucks" as the client overspent on sundries the current month's savings. In the coming future, banks will have an extensive task to perform in managing and control of payments. IoT helps banks in many ways ,ie: facilitating consumers by communicating with right information about different offers especially in banking/finance, and solve different day to day issues of consumers and retain them for longer period. The customer data available through the IoT will identify the financial needs of the client and its value chain that also helps banks provide the value added services and customized financial products to ensure Win-Win situation .This banking system enabled with IoT improves customer loyalty by playing as a powerful facilitator .It transforms the business in the future. Banks must convert IoT data into valuable information that helps in increases their market share and provides better solutions to their customers. As the banking system has become part of a human day to day activity, it efficiently offers many benefits, such as operating a payment system, granting loans, taking deposits and helping with investments etc. 07 30 2019 4313 4318 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2661.078219 https://www.ijrte.org/portfolio-item/B2661078219/ Department of Mathematics, S R Engineering College, Warangal G. Anusha S. Vishwa Prasad Rao Department of Mathematics, S R Engineering College, Warangal C. Bala Rama Krishna Department of Mathematics, S R Engineering College, Warangal A lot importance is offered on using computer systems and also calculators as devices to solve mathematically designed bodily troubles. The outcome is actually a technique that combines mathematical theory into services for real-world concerns, using the best of both globes: maths and also calculations. Engineering mixes applied algebraic, scientific, and also specialized concepts, to give substantial final result which can be created, created, and designed. Design varies from scientific research in that it have to take demands into account featuring expenses, security, functionality and also constraints on information. All engineering job is actually regulated through security specifications, and also issues of licenses as well as design security may also arise. 07 30 2019 2289 2291 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2665.078219 https://www.ijrte.org/portfolio-item/B2665078219/ Department of Information and technology,University Institute of Engineering and Technology,Panjab University, Chandigarh, India. Priyanka Sharma Saurabh Kumar Computer Science and Engineering, Chitkara University, Punjab, India. Amandeep Kaur Computer Science and Engineering, Chitkara University/ Punjab, India. Cloud networks are very widespread and unreliable because of the amount of VMs and presented nodes in their Virtual Cloud Network. Nodes might connect and revoke networks at any time. Resilience is a advantage of cloud computing, but it has many safety issues in routing and transmitting information between messages. VCN research is very similar to the portable ad-hoc network (MANET), which depends on the collaboration of all involved nodes to provide fundamental activities. Many safety assaults and risks exploit the safety of information transmission due to the decentralized environment in VCN and MANET. Malicious nodes can interfere and use information during wireless communications. Numbers of methods are there that has a diverse effect on such attacks for malicious nodes. Varied attacks are susceptible to security, but Black hole assault is one of the most common effective assaults, as fraudulent nodes dump all incoming emails reducing network performance and reliability. A black hole node is designed to lampoon every node in the network that conveys with some other node by saying it always has the easiest route to the target node. In this manuscript, a secure routing discovery method has been presented using Ad hoc on demand distance vector (AODV) routing protocol. For the detection of attack in the cloud, the concept of Artificial Intelligence (AI) has been used. Therefore, in this research, Artificial Neural Network (ANN) and Support Vector Machine (SVM)is adapted to determine Packet Delivery Ratio (PDR), Delay and Throughput measures. The comparative examination has been conducted to depict the proposed FNN-AODV effectiveness. There is an enhancement of 61.01% in FNN-AODV and 5.08% enhancement in Throughput in proposed FNN-AODV than R-AODV, 6.26% enhancement in PDR for FNN-AODV than R-AODV and 10.8% is the decrement in delay in FNN-AODV than of R-AODV. 07 30 2019 5799 5805 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2666.078219 https://www.ijrte.org/portfolio-item/B2666078219/