-3dc97f3d182b6b0ed3d-5c6a 20220920072938692 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 Structural Engineering, Kashi Institute of Technology Varanasi, (U.P.), India. Anjani Kumar Shukla Pabitra Ranjan Maiti Associate Professor, Department of Civil Engineering, Indian Institute of Technology (BHU) Varanasi, (U.P.), India. Every Structure has a certain predefined age with which it has to withstand, and after that, it requires the rehabilitation/repairing to avoid any damage or collapse. The footbridge over Yamuna River in Delhi, India was constructed in 1960 adjacent to Wazirabad barrage, and this is a very important link to East Delhi and West Delhi. Due to heavy traffic plying on this footbridge, in due course of time, the signs of deterioration were visible in the bridge expansion joint assemblies in the deck slab and cantilever portion of footpath slab. There were many potholes also developed in the wearing course. It was also dilapidation observed in many portions of the footpath, and some portion of the footpath slab were collapsed. The cantilever portion of the footbridge was retrofitted with steel jacketing fixing in the main longitudinal girder of the bridge. In this study analysis of the cantilever footbridge slab retrofitted by a steel jacket was carried out to check the deflection and stress limit of the bridge and it is found that the bridge is safe and now Bridge is open for traffic. 07 30 2019 4239 4246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2667.078219 https://www.ijrte.org/portfolio-item/B2667078219/ Research scholar, Department of computer science, Krishna University, Machilipatanam, Andhra Pradesh, India Ramakrishna Goddu Kiran Kumar Reddi Assistant Professor, Department of computer science, Krishna University, Machilipatanam, Andhra Pradesh, India Generating optimal task scheduling plans in cloud environments is a tedious task as it is a np-hard problem. The optimal resource allocation in cloud environments involves more search space and time consuming. Therefore, recent researchers are focused on implementation of artificial intelligence to solve task scheduling problem. In this paper, a new and efficient evolutionary algorithm named teaching-learning based algorithm has been implemented first time to solve the task scheduling problem in cloud environments. The current research work considers the task scheduling problem as a multi-objective optimization problem. The proposed algorithm finds the best solution by minimizing the execution time and response time while maximizing the throughput of all resources to complete the assigned tasks. 07 30 2019 2952 2958 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2672.078219 https://www.ijrte.org/portfolio-item/B2672078219/ Assistant Professor in Malla Reddy Institute of Technology. Hyderabad Mr.Naveen Kumar Mr.S.Kailash kumar Assistant Professor in Malla Reddy Institute of Technology, Hyderabad Mr.Gundrala Prashanth Assistant Professor in Malla Reddy Institute of Technology. Hyderabad Based0on the results obtained from this study0,the following Conclusions seems to be valid. The increase0in percentage replacement of Fly Ash with Metakaoline from 0% to 10.00% causes increase in Slump value up to 5% and beyond that slump is decreased. This0shows workability is reducing as percentage of Metakaoline increased beyond 5%. Hence, 5% replacement of Fly ash with Metakaoline is suitable from workability0point of view. The increase in percentage replacement0of Fly ash with0Metakaoline from 0% to 5% causes increase in compressive strength of concrete from 17.6MPa to 22.6MPa. Further0increase in percentage replacement of Fly ash with Metakaoline from 5% to 10% causes decrease in the0compressive strength from 22.6MPa to 18.7MPa. Hence, 5.00% replacement of Fly Ash with Metakaoline is advisable from compressive strength point of view .The increase in percentage replacement of Fly ash with Metakaoline from 0% to 5% causes increase in0Split Tensile strength of concrete from 3.72MPa to 4.68MPa. Further0increase in0percentage replacement of Fly ash with Metakaoline from 5% to 10% causes decrease in the split Tensile strength from 4.68MPa to 3.94MPa. Hence, 5.00% replacement of Fly Ash with Metakaoline is advisable from Split Tensile strength point of view. The increase in percentage replacement of Fly ash with Metakaoline from 0% to 5% causes increase in0flexural strength of concrete from 3.0 MPa to 3.36 MPa. Further increase in percentage replacement of Fly ash with Metakaoline from 5% to 10% causes decrease in the flexural strength from 3.36MPa to 3.2MPa.Hence 5.00% replacement of fly ash with Metakaoline is advisable from flexural strength point of view.Finally,it can conclude keeping in view of the workability ,compressive strength ,split tensile strength and flexural strength in mind,5% replacement of fly ash with Metakaolin is recommended for use in GEO POLYMER CONCRETE (GPC). 07 30 2019 2682 2687 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2673.078219 https://www.ijrte.org/portfolio-item/B2673078219/ Associate Professor,Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore. B. Nataraj K.R. Prabha Assistant Professor, Department of Electronics and Communication Engineering, Sri Ramakrishna Engineering College, Coimbatore In this paper, a 3-bit digital phase shifter based on switched transmission line technique using coplanar waveguide is proposed. The design has the resonant frequency of 10 GHz which can be used in wireless communication applictaions. Recent developments in radio frequency components development has raised as a significant way for constructing low loss phase shifters. MEMS phase shifters whose insertion loss is low and high isolation uses minimum power. This helps to bring low cost and light weighted phased array antennas. The transmission line length and wavelength decides the characteristics of phase shift. The phase shifter design consists of coplanar waveguides having center conductor width of 100μm and the gap of 14 μm on a FR-4 epoxy substrate with thickness of 1.6mm. The design is simulated using ADS to yield phase shift of 45, 90 and 180. The benefits of digital phase shifters include achieving flat phase over a wide bandwidth as well as having higher power handling and linearity with uniform performance. The phase shifters are used in different fields which includes microwave devices, feeder of radio system, phased array antenna, coherent radio system, etc. 07 30 2019 2292 2296 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/ Post graduate student, Civil Engineering (Hydraulics). Bharati Vidyapeeth (Deemed to be) University College of Engineering, Pune. Mr. Hafizullah Shafaq Prof. Milind R. Gidde M. E., Ph. D., Professor Department of Civil Engineering, Bharati Vidyapeeth (Deemed to be) University College of Engineering, Pune. Water is flattering more and more scares and precious resources as population and utilization hike. Elevation of those elements as well as technology and action to support fine water supplies is obligatory to get control of the condition. Agriculture usage of water consumption is almost 70 % of the water used throughout the world and more than half of this water is used for irrigation purpose.For solving the problem of water scarcity in agriculture, it is important to expand water saving irrigation which has become the need of the time. Currently there are varying types of water saving methods include drip irrigation, sprinkler irrigation. Between these irrigation system drip irrigation system is the most successful way in arid and semi-arid areas and its make use of rate can get up to 90 %. Drip irrigation also known as trickle irrigation is a method which minimizes the use of water and filterers by admitting water to drip at a slow and steady pace to the plant root, rather onto the soil surface or openly onto the root zone, a network process of pipes, valves, emitters and tubing.Water is one of the most precocious assets that we have . The level to which water is abundant or hard to get, polluted or clean, advantageous or devastating, deeply effect the size and standard of human life. The relentless elevation in population and the resulting spurt in the request for water and the need to be cautious in organizing and the management of the restricted water resources. 07 30 2019 4338 4341 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2675.078219 https://www.ijrte.org/portfolio-item/B2675078219/ Assistant Professor, Department of Computer science and Engineering, M S Ramaiah Institute of Technology, Bangalore, (Karnataka), India. Sowmya B J Gautam Mundada Student at Ramaiah Institute of Technology, Bengaluru, (Karnataka), India. Pranav Hegde B.E student, Ramaiah Institute of Technology, Bengaluru, (Karnataka), India. Dr. Seemas Professor, Department of Computer science and Engineering, M S Ramaiah Institute of Technology, Bangalore, (Karnataka), India. Dr. K G Srinivasa Professor, Department of National Institute of Technical Teacher Training & Research, Chandigarh, Chandigarh, (Punjab), India. The day-to-day evolution of the world is throwing many challenges, thereby demanding the humans to be on par with the modern tools and technologies that are on offer. These technologies are contributing to the overall growth across all the domains. One such domain that is highly affected by the modern tools and techniques is Agriculture. Gone are the days, when only a handful methodologies and tools were utilized to understand about agriculture. Although the farmers are sceptical to the modernization, the end result has been encouraging at many a times. With the use of analytics, one can get to know more about the type of soil, crops and fertilizers, amount of water to be utilized depending on the climatic conditions and thereby have an effective yield. In this work, the elementary task of portraying the effect of climatic conditions on the production of different varieties of crops is carried out. Also, the application of Multivariate Linear Regression and Artificial Neural Network (ANN) techniques provides a significance outcome in the prediction of yield with the focus on Ragi and Rice. The work provides an accuracy of 65% with the 3-fold cross validation technique and 68% accuracy with ANN model. 07 30 2019 3223 3230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2676.078219 https://www.ijrte.org/portfolio-item/B2676078219/ Department of Computer Science, Suan Sunandha Rajabhat University, Bangkok, Thailand. Satien Janpla Nisanart Tachpetpaiboon Department of Computer Science, Suan Sunandha Rajabhat University, Bangkok, Thailand. Chaiwat Jewpanich Department of Educational Technology and Computers, Suan Sunandha Rajabhat University, Bangkok, Thailand. This research purposed to design an automatic home-based fish farming using the internet of things and to evaluate its efficiency. There were 3 processes in this research: 1. creating a home-based fish farming environment (fish pond) 2. designing and developing home-based fish farming by using the internet of things and 3. experimenting and implementing the system. The fish pond (90 x 180 x 50 cm) was made up of 90 blocks. It was coated with waterproofed plastic in order to contain a maximum of 80 cm x 170 cm x 40 cm. or 0.544 m3 of water. The automatic home-based fish farming system using the internet of things consisted of 6 parts in the form of 1. A NodeMCU Microcontroller 2. An automatic fish feeder 3. A relay module 4. Home Wi-Fi 5. Web Application 6. Line Notify. The NodeMCU Microcontroller was the main module use to control the automatic working of the system. The experiment resulted in a number of findings. Firstly, Fish feeder experiment, Experiment for the fish feeder to release food for 30 grams, 5 times, average time 23 seconds, error rate + 8.70%, -7.25%; Experiment for the fish feeder to release food for 45 grams, 5 times, average time 35 seconds, error rate + 10.00%, -8.57%; Experiment for the fish feeder to release food for 60 grams, 5 times, average time 48 seconds, error rate + 2.08%, -5.27%; finally, 75g fish feeder, 5 times, average time 75 seconds, error rate +8.33%, -8.02%. As a result, the dispensing variation was no more than ±10%. Secondly, the timing of this machine was divided into 4 periods: during days 1 to 30, it dispensed food 30g. During days 31 to 60, it dispensed food 45g. During days 61 to 90, it dispensed food 60g. During days 91 to 142, it dispensed food 75g. It would feed 2 times: 7 am. and 6 pm. each day. Thirdly, the test was to turn on and off the water and oxygen pumps by just clicking a button on the web application. The system was used to feed 80 3-inch long catfish over a period of 142 days. At the end of the period, 43 catfish were left with 37 having died. The survival rate was 54%. These fish weighed 5,380 grams in total and their growth varied. There were 24 small fish which weighed 120-220 gram (61%), 10 medium sized fish which weighed 230-330 (23%) and 7 large fish which weighed 340-440 (16%). As a result, this system could be used for feeding fish, but it needs some improvements such as the introduction of a waste water monitoring system and an automatic water changing system which would enhance the automatic working of the system. 07 30 2019 3308 3315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2677.078219 https://www.ijrte.org/portfolio-item/B2677078219/ PG Scholar, ME-IEM (3Y-PT), Department of Mechanical Engineering, IET, DAVV, Indore, India. Gaurav Goyal Dr. Devendra S. Verma Asstt. Professor, Department of Mechanical Engineering, IET, DAVV, Indore, India. The world’s globalization and consolidation result in increased competition for manufacturing industry. A factory must always attempt to achieve world class manufacturing and quality to survive long in the growing market. Therefore it is important for a MSME sector (Manufacturing Industry) to develop their way of working continuously as per World Class Standards. In this research work, current layout of a manufacturing MSME industry is studied and a new layout is developed based on the systematic layout planning to reduce the meter movement, searching time and increase productivity. The company has presently working on processes layout. The number of equipment/machineries available and meter movement have been analyzed. The detailed study of the plant layout such as operation process chart, activity relationship chart and the relationship between equipment and area has been investigated. The new plant layout has been designed and compared with existing plant layout with the help of Spaghetti Diagram. The new plant layout shows that distance and overall cost of material flow from stores to dispatch area are significantly decreased. The implementation of proposed model will help in the overall improvement of production performance of manufacturing industry. This research work also helps to other small industries having such type process layout in increasing their productivity and achieving 100 % efficiency. 07 30 2019 3115 3118 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2679.078219 https://www.ijrte.org/portfolio-item/B2679078219/ School of Electrical Engineering, Vellore Institute of Technology (VIT), Chennai, India. Partha Sarathi Subudhi Krithiga S. School of Electrical Engineering, Vellore Institute of Technology (VIT), Chennai, India. The proposed system facilitates uninterruptable charging of a photovoltaic (PV) fed plug-in electric vehicle (EV) battery charging system irrespective of solar irradiation conditions by integrating utility grid to the battery charging system. The system employs bidirectional cycloconverter (BDCC) in order to use utility grid as source or sink during different modes of operation which depends on the availability of solar power. During low irradiation condition, the utility grid acts as a backup source in order to facilitate uninterruptable charging of the EV battery. When surplus power is generated from the PV panel, it is fed to the utility grid, which acts as sink in this mode. For uninterruptable EV battery charging, the controller operates the switches and relays in the proposed system corresponding to solar irradiation level. The available literatures define complex control strategies which are solved in this proposed system by adopting a simple dynamic control algorithm. The simulation of the proposed system has been carried out using PSIM simulation software and experimental prototype has been designed, developed and tested for different modes of operations to validate the efficacy of the proposed system. 07 30 2019 3431 3443 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2680.078219 https://www.ijrte.org/portfolio-item/B2680078219/ Department of Applied Mathematics, MANIT, Bhopal, MP, India. Payal Shrivastava Chandan Kumar Verma Department of Applied Mathematics, MANIT, Bhopal, MP, India. The non-deterministic behavior of stock market creates ambiguities for buyers. The situation of ambiguities always finds the loss of user financial assets. The variations of price make a very difficult task to predict the option price. For the prediction of option used various non-parametric models such as artificial neural network, machine learning, and deep neural network. The accuracy of prediction is always a challenging task of for individual model and hybrid model. The variation gap of hypothesis value and predicted value reflects the nature of stock market. In this paper use the bagging method of machine learning for the prediction of option price. The bagging process merge different machine learning algorithm and reduce the variation gap of stock price. 07 30 2019 3231 3241 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2683.078219 https://www.ijrte.org/portfolio-item/B2683078219/ Department of Electrical and Electronics Engineering, ANITS (A), Visakhapatnam, India. S. Bala Murali Dr. P. Mallikarjuna Rao Department of Electrical Engineering, A. U. College of Engineering (A), Visakhapatnam, India. BLDC motors are generally implemented in copious industrial processes because of its high proficiency, large torque and minimum volume. The variation in load torque, causes the variation of speed in BLDC motor, which leads the complete system in unstable condition. In this paper a robust first-order SM controller scheme depends on twofold controlling algorithm for angular velocity and also current control in Brushless DC motor to attenuate the chattering problems. Two cascaded sliding mode controllers of first-order are used and first sliding mode controller generates stator currents based on speed error then the second SM controller generates voltage based on current-error in stator which runs the universal bridge by this controlled voltage source. In addition to the method suggested by Slotine, two feed forward loops are added to both speed and current errors to improve the response. The existing sliding-mode control is unresponsive to uncertainties and will cause undesirable chattering problems. To overcome this snag, a manual control law in conjunction with Sliding mode control is utilized that provides smooth and chattering free actual control signal. The overall system stability performance is implemented in MATLAB/SIMULINK and simulation results shows that proposed scheme is robust with respect to uncertainty in the system. 07 30 2019 2972 2978 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2684.078219 https://www.ijrte.org/portfolio-item/B2684078219/ Research Scholar, Department of Computer Engineering, K.I.I.T. University, Bhubaneswar, Odisha India. Mr. Debabrata Dr Santosh Kumar Associate Professor Department of Computer Engineering, K.I.I.T. University, Bhubaneswar, Odisha, India. Dr Debabala Associate Professor Department of Computer Science, Ramadevi Women’s University, Bhubaneswar, Odisha, India. Heart disease is treated as one of the noxious diseases at the present time. Coronary artery disease is a kind of heart syndrome which is statistically growing day by day in the society. It is very tough for medical practitioners to predict Coronary artery disease as it is a complicated task that needs experience and acquaintance. For the detection of the disease doctors normally prescribe various invasive and non-invasive methods like angiography, ECG and echocardiogram. These methods are very expensive and sometimes not able to discover a number of undiagnosed symptoms. Due to these, it is not possible to detect the disease accurately at an early stage. The medical sector today contains a number of useful data that is helpful to detect a disease accurately. Using this data many researchers have proposed a number of intelligent systems for the detection of the disease. In this work, a competent system is implemented using deep learning for the better detection of the disease. The system is constructed using Convolutional Neural Network. The system has three phases. In the first phase data cleaning, data imputation and important feature selection are performed. In the second phase model training and hyperparameter tuning is performed. Finally, in the last phase, the model prediction is performed using the test data. The data set used for experimentation is Cleveland, Hungary, Switzerland and Long beach heart disease data present in the UCI repository. The proposed system gives a classification accuracy of 96.49% during testing, which is highest among all the discussed methods. 07 30 2019 2959 2966 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2693.078219 https://www.ijrte.org/portfolio-item/B2693078219/ Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, India. Neha Garg Damanpreet Singh Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, India. Major Singh Goraya Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, India. Cloud computing, a metered based technology provides the services using virtualized technology over the internet. In the cloud environment, to improve the performance (such as utilization of the resources, energy minimization) extreme number of virtual machines (VMs) can be installed on the servers as per their resource capacity. In this way, servers can be overloaded. Overloaded servers consume more energythan normal status servers. VM migration (VMM) is an efficient technique to become a server in a normal state. VMM technique is used to consolidate the resources to increase resource utilization (RU) and reduceenergy usage. In the VMM technique, selection of VM such as which VM is migrated from one server to another server and allocation of VM on servers is an important aspect. Appropriate VM selection declines the numeral of VMMs and increasesenergy efficiency. Appropriate VM allocation declines the server to become overloaded. In this paper, the VM selection and allocation strategy is presented. CloudSim toolkit is used to verify the strength of proposed VM selection and allocation algorithm. Proposed VM Selection algorithm (MaMT) performs better than existing MiMT algorithm in terms of total energy consumption, number of hosts shut down, number of VMM, and average Service Level Agreement (SLA) violation rate. MaMT algorithm with resource aware provisioning (RAP) and MiMT+RAP algorithm combines both VM selection and allocation policies. RAP algorithm used both energy and RU parameters while allocating VM to the server.MaMTreduces the energy consumption up to 7.25% and reduces the SLA violation rate up-to 2.6% in comparison to MiMT algorithm. When VM selection and allocation policies combines together than more system performance is improved. MaMT+RAPreduces the energy consumption up to6.76% and reduces the SLA violation rate up-to 0.22% in comparison to MaMT algorithm.MiMT+RAPreduces the energy consumption up to15.23% and reduces the SLA violation rate up-to 0.95% in comparison to MiMT algorithm. 07 30 2019 3444 3449 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2700.078219 https://www.ijrte.org/portfolio-item/B2700078219/ Research Scholar, School of Mechanical Engineering, Galgotias University, Greater Noida, India. Jitendra Mohan Giri Pawan Kumar Singh Nain Professor, School of Mechanical Engineering, Galgotias University, Greater Noida, India. In the present study, a mathematical model of single stage thermoelectric cooler (TEC) is reported. This model is then employed to optimize the rate of refrigeration (ROR) which is one of the important performance measures of TEC. Two stochastic algorithms, namely, the genetic algorithm (GA) and simulated annealing (SA) are employed for optimizing the said performance of TEC for restricted space. The selected design variables are the geometric structural parameters of TEC elements and the input current. This study also includes the thermal resistance of hot side heat exchanger and electrical contact resistances into consideration. The results show that these design variables can be optimally set to maximize ROR within restricted space very significantly. The two algorithms for optimization attained almost the same values of design variables that lead to optimum ROR, though the GA could locate multi-modal optimum and hence can be used by the designer to choose among various options of design variables without compromising on the optimized value of ROR. 07 30 2019 2306 2311 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/ Department of Computer Science and Engineering, Periyar Maniammai University, Vallam, Thanjavur. Dhavakumar. P Gopalan. N. P Department of Computer Application, National Institute of Technology, Tiruchirappalli. In quality of software, a fault discovery course is anticipated; intended to recover the taking up of various methods using cluster classifiers. Initially the classifiers are qualified on software record and then utilized to forecast if a forthcoming transformation originates a defect. Shortcomings of previous classifier based error prediction methods are inadequate presentation for realistic utilization and slow-moving forecast times due to a huge number of learned machine characteristics. Feature selection is a procedure in choosing a subset of pertinent characteristics so that the eminence of forecast replica can be enhanced. So that prediction recital of grouping techniques will be enhanced or sustained, whereas learning instance is considerably abridged. This effort commences by presenting a general idea of the datasets for error prediction, and then features a novel procedure for feature assortment by means of wrapper methods namely Fuzzy Neural Network (FNN) and Kernel Based Support Vector Machine (KSVM). The features chosen from FNN and KSVM are measured as significant characters. This effort examines numerous feature selection wrapper methods that are normally appropriate to grouping based error prediction. The system castoffs not as much of significant characters until optimal grouping recital are attained. The whole number of characters utilized for guidance is considerably reduced, frequently to lower than 15% of the unique. The general performance metrics is make used to estimate grouping systems such as accurateness, Recall, Precision, and F-Measure. It demonstrates that the anticipated Hybrid Hierarchical K-Centers (HHKC) grouping executes enhanced software quality compared to conventional grouping methods. 07 30 2019 2168 2169 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2703.078219 https://www.ijrte.org/portfolio-item/B2703078219/ Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Dr.M. Sangeetha Dr.S. Prakash Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Dr.T.N. Valarmathi Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Dr.J.Lily Mercy Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India. Mr.R. Siva Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, India This paper is mainly focused on reducing the certain amount of artificial fiber with green fiber or natural fiber. The replacement of particular amount of synthetic fiber, reduce the cost and made the product economical. By doing so the composite become user friendly. In this experiment, using hand- lay-process, a hybrid polymer matrix is fabricated by replacing some percentage of carbon with banana fiber. The prepared specimen is subjected to mechanical testing. The fabricated work piece resulted in better mechanical properties such as improved tensile strength, hardness, flexural strength and impact strength. This hybrid composite has applications in automobile parts like break lining, leaf springs, etc. 07 30 2019 2312 2316 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2701.078219 https://www.ijrte.org/portfolio-item/B2701078219/ Department of Computer Science, NMAM Institute of Technology, Karnataka, India. Ranjan Kumar H S Dr. Ganesh Aithal Dean (Research), Mangalore Institute of Technology and Engineering, Moodbidri, Karnataka, India. Dr. Surendra Shetty Professor and Head, NMAM Institute of Technology, Karnataka, India. The most appropriate communication mechanism for transfer of packets from one source to another is multicast IPv6 communication. Nowadays, multicast communication plays a major role in a large number of communication applications. In this multicast communication, the message privacy attains a highest position. The members of multicast are dynamic so they permit the host members to enter and depart the cluster without the permission of remaining group members and, it can't provide any transfer without the interference of host, this may reduce the performance. For security enhancement in multicast communication Group Key Management (GKM) was introduced. There are three different approaches in GKM and they were mainly involved to overcome the issues of host mobility in multicast communication. The challenges that are encountered by these GKM approaches their requirements and challenges was also discussed in this paper. Finally, some questions and their explanations were provided along with it. These GKM approaches will improve the privacy of multicast communication. So, the packets can deliver to the group members without any interference. 07 30 2019 2317 2328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2701.078219 https://www.ijrte.org/portfolio-item/B2701078219/ CSE Depatment, Sharnbasva University, Kalaburgi, India, Anandkmar Dr. Lalitha Y S ECE Department, Don Bosco Institute of Technology, Bengaluru, India, This paper presents study on image processing techniques used classify the crop images. Advanced computing technology helps to improve yield of agriculture products with increasing population of the world and less resources of food. Identification of automatic crop classification based on types is the most important problem. Automatic identification of crop type could help farmers for application of fertilization, pesticides and harvesting of different crop species on-time for the improvement of the production processes of food industries. In this work, Artificial Neural network was used to classification of Guava, Papaya, Banana and Pomegranate crop images. The result shows 90% accuracy in the classification. 07 30 2019 1667 1670 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2708.078219 https://www.ijrte.org/portfolio-item/B2708078219/ Assistant Professor, Amity University, Jaipur, Rajasthan, India Bhagyashri Naruka Ashwini Kumar Yadav Amity University, Jaipur, Rajasthan, India Shweta Sharma Amity University, Jaipur, Rajasthan, India Janesh Singh Rathore Amity University, Jaipur, Rajasthan, India Genetic algorithm (GA) is the most widely used meta-heuristic optimization algorithm that can solve complex large scale optimization problems successfully. The only problem lies with the setting of GA control parameters and their levels for the optimal performance of the algorithm. The statistical method can be used for parameter tuning that allows us to collect data properly. Also, it analyzes the collected data accurately and presents the appropriate results. For statistical analysis, Taguchi’s robust factorial design which is highly fractional in nature with a special set of L32 orthogonal array (OA) is used. Taguchi’s robust design is a proficient method to find an optimum solution with a minimal number of designs of experiment (DOE). Analysis of variance (ANOVA) is conducted to check whether GA control parameters are statistically significant or not for non-linear multimodal optimization problems. Taguchi OA design and ANOVA analysis experimental study is conducted using Stat-Ease software and for the Genetic Algorithm control parameter setting GA solver of MATLAB is used. 07 30 2019 2979 2986 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2711.078219 https://www.ijrte.org/portfolio-item/B2711078219/ Electronics and Communication Engineering, Saveetha School of Engineering (SIMATS) , Chennai , India. Arava Harshith Dr. Reji Electronics and Communication Engineering, Saveetha School of Engineering (SIMATS) , Chennai , India. An endeavor to reproduce the Exhaled Breath Analysis with a colorimetric Sensor Array for the distinguishing proof and portrayal of lung Cancer by Peter J. Mazzone yet duplicated in urban situations, to survey the legitimacy of the etod of distinguishing biosignatures in the breath of individuals and furthermore including clinical hazard factors To be as true as possible to the original experiment by developing an breath biosignature of lung malignant growth utilizing a colorimetric sensor cluster and to decide the exactness of breath biosignatures of lung disease but this time concentrated only around sample concentrated from urban areas Comparative techniques were utilized as refered to unique analysis The breathed out breath of 200 investigation subjects, 80 with lung malignant growth and 120 controls, was strained over a colorimetric sensor cluster. Expectation copies were constructed and factually rechecked dependent on the shading deviations of the sensor. Age, sex, contamination introduction, zone of remain, smoking history, and interminable uncooperative pneumonic sickness were fused in the forecast representations. The conjecture model were first endorsed in real way,The show were made of the combined breath and clinical biosignature ; was similarly precise at perceiving lung sickness from control subjects (C-estimation 0.811). The precision improved when the model focused on only a solitary histology (C-estimation 0.825–0.890). Individuals with different histologists could be definitely perceived from one another (C-estimation 0.864 for adenocarcinoma versus squamous cell carcinoma). Moderate rightness were noted for affirmed breath biosignatures of stage and survival. Conclusions: A colorimetric sensor array offers a possible tool to detect any sings especially of lung cancer derived from biosignatures of exhaled breath. Though the extent of surety changes with optimizations, yet breath can be evaluated successfully by evaluating specific factors such as incorporating clinical risk factors. 07 30 2019 4279 4283 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2712.078219 https://www.ijrte.org/portfolio-item/B2712078219/ Professor, Department of Computer Science, Gulbarga University, Kalaburagi, India. Dr. B. V. Dhandra Mr.Satishkumar Mallappa Research Scholar, Department of Computer Science, Gulbarga University, Kalaburagi, Karnataka, India Dr. Gururaj Mukarambi Assistant Professor Department of Computer Science, Gulbarga University, Kalaburagi, India. Most of the documents in various application areas like Government, Business and Research is available in the form of bi-lingual/multi-lingual text document. The multilingual documents are captured from video/camera for identification of script of the text document for automatic reading and editing. In this paper, an attempt is made to address the problem of script identification from camera captured document images with SFTA features. The input image is decomposed into a group of binary images by applying TTBD with fixing the number of the threshold as t n =3 empirically, on each decomposed binary image, Box Count, Mean Gray Level, and Pixel Count are extracted to form the feature vector. This feature vector is submitted to K-NN classifier to identify the scripts of the input document image. In all 10 scripts of the indian languages are considered along with common English language as bi-lingual documents. The novelty of the paper is that 7 features are selected as potential features to obtain the highest accuracy. Features like Box Count (3), Mean Gray Level (2), and Pixel Count (2) have obtained the 87.02% recognition accuracy for English and Hindi Script combinations for the dataset collected and encouraging results for other combinations. These 7 potential features were selected using the technique named as feed-forward feature selection, from the set all 18 features. 07 30 2019 2988 2994 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2713.078219 https://www.ijrte.org/portfolio-item/B2713078219/ Department of Electronics & Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Sahrdaya College of Engineering and Technology, Kodakara, India. Ros Marie C Cleetus G Josemin Bala Department of Electronics & Communication Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. An antenna that exhibits reconfiguration in frequency is introduced in this paper that can act as an ultrawide band antenna as well as a narrow band antenna according to the switching status of the design. This antenna structure provides a wide band coverage from 3.02 to 9 GHz and narrow band coverage from 3.45 to 6.45 GHz, 5.04 to 7.65 GHz and 7.04 to 8.58 GHz corresponding to four switching configurations. The simulation software used is Ansoft High Frequency Structure Simulator (HFSS). The results from simulation and measurement are found to be matching. This design finds its applications in Worldwide Interoperability for Microwave Access, Wireless Local Area Network, Cognitive Radio, Satellites, etc. 07 30 2019 4342 4346 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2714.078219 https://www.ijrte.org/portfolio-item/B2714078219/ Department Of Computer Engineering, Marathwada Mitra Mandal’s College Of Engineering, Pune. Anjali Pawar Harmmet Khanuja Department Of Computer Engineering, Marathwada Mitra Mandal’s College Of Engineering, Pune.. QR code is a quick response code which is used to store information. In QR code, the information is stored in encoded form. To access information present in QR code , we need to decode information with the help of scanner. The information which is present in QR code is accessible to anybody. Private data is not safe in such scenario. This paper presents a visual secret sharing scheme to encode a secret QR code into distinct shares. Visual secret sharing scheme is a method of distributing secrete amongst a group of participants. The secret message is recovered by XOR-ing the shares. Secret message can be generated only when enough number of shares are combined. This provides security for private message using visual secret sharing scheme. Proposed system provides higher security to messages and it also provides more flexible access structure. Computational cost of proposed scheme is low. 07 30 2019 4284 4288 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2715.078219 https://www.ijrte.org/portfolio-item/B2715078219/ Research Scholar, Department of PG & Research Dr. N.G.P Arts & Science College, Coimbatore, India Sujith Jayaprakash Dr. Jaiganesh V. Assistant Professor, Department of PG & Research Dr. N.G.P Arts & Science College, Coimbatore, India Classification algorithms have paved the way for several recommender systems in the field of Medicine, Entertainment, Politics, Education, etc. Recently there is a growing interest among researchers to analyze or predict the academic progression of students from High Schools to Tertiary Education. Better performance of students will directly reciprocate in the growth of an institution. Hence, setting up a supervised learning system will act as a gauge to provide a benchmark education. This paper aims to recommend a system based on a predictive model which will aid the institution to measure the performance of students based on various parameters. 07 30 2019 6558 6561 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2716.078219 https://www.ijrte.org/portfolio-item/B2716078219/ LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco Ichrak lafram Siham El idrissi LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco. Aicha Marrhich LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco. Naoual Berbiche LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco. Jamila EL Alami LASTIMI Laboratory, Superior School of Technologies of Sale, Mohammadia School of engineering, Mohamed V University city of Rabat, Morocco. The analysis of massive data is becoming more and more critical. One of the systems that process real-time data are computer networks. The data flowing through these networks is enormous and requires technicality to manage it better, and the most central characteristics of these systems is to ensure security. To ensure this task, administrators use intrusion detection systems (IDSs). The major problems with these systems are the false positive and the speed of the system to process data and analyze it. For this, we present an optimization of the existing methods based on artificial neural networks, through combining two machine learning procedures; unsupervised clustering followed by a supervised classification framework as a Fast, highly scalable and precise packets classification system. 07 30 2019 4453 4462 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2717.078219 https://www.ijrte.org/portfolio-item/B2717078219/ Department of Civil Engineering, Jain college of Engineering, Belagavi, Karnataka, India Mr.Vinayakumar S. Petimani Mr.Vishwanath Awati Assistant Professor Department of Civil Engineering, Jain college of Engineering, Belagavi, Karnataka, India. Ms.Rashmi J.V. Assistant Professor Department of Civil Engineering, Jain college of Engineering, Belagavi, Karnataka, India. Construction technology is more important for project management, as it influences on construction schedules and monitoring. The construction commerce requires a very perfect preparation of planning, development of schedule and monitoring the construction process of the plan exertion which permits the complete optimization of the rate, spell and incomes. The paper promoting the 4D GIS concepts and integration technique and representation of non-spatial and spatial information’s such by means of drawing, resource, and prepared schedules in same GIS environment. s Instead of using the older, traditional methods of auto CAD drawings and schedule sheets, one can integrate them on a stage to create a 4D view of the project using GIS. The project presenting a 4D application of GIS in construction technology and management, by introducing Microsoft project (MSP) and ARCGIS or ARCMAP, which integrates schedules, 3D model of Building plan and resources composed through 4 Dimensional skill to deliver 3Dimensional + 1 Dimensional =4Dimensional Graphical picturing ability for monitoring the construction project site. In this project a G+1 building has been selected for the research in which all the working drawing are converted into 3D plan and according to it schedules are prepared in MSP software then they are imported into ArcGIS environment to get 4D output. This 4D output provides better visualization of construction work progress by which the engineers can trace the technical error of the project by taking better decision and can monitor the delay of work to reduce the cost overrun of project and rework can be avoided by early notification. 07 30 2019 2994 2999 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2718.078219 https://www.ijrte.org/portfolio-item/B2718078219/ Computer Science and Engineering, Sridevi Women’s Engineeirng College, Hyderabad, India Dr.T.K.S. Rathish Babu Dr.V. Balaji Electronics and Communication Engineering, KCG College of Technology, Karapakkam, Chennai, India Dr.V Anantha Krishana Computer Science and Engineering, Sridevi Women’s Engineeirng College, Hyderabad, India Blockchain science has determined an exceptional quantity of functions, from banking to the web of matters (IoT). Developed from the Merkle Tree, Blockchain technological expertise is a absolutely decentralized digital register which keeps a secure historical past of data exchanges. The decentralization part of Blockchain technological know-how does away the need of any valuable authority for managing it. On this paper we present a complete overview on blockchain technology. The block-chain technological expertise grants an extraordinarily progressive and at ease approach of managing transactions on-line. Hailed as one of the greatest inventions after the internet, it has taken the digital world by means of storm and is disrupting many industries. In the past few years, this technology has gained big value and its utility subject has evolved into a much broader context. The mass adoption of block-chain centered functions has accelerated dramatically and a plethora of such functions is actually available to be used. 07 30 2019 3672 3675 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2719.078219 https://www.ijrte.org/portfolio-item/B2719078219/ Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Kejuruteraan Elektronik & Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia.a M.M.M. Aminuddin N.H.H.M. Tarmizi Centre for Telecommunication Research & Innovation (CeTRI), Fakulti Kejuruteraan Elektronik & Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM), Malaysia. Permanent paralysis due to stroke could be avoided if they do some exercises on the affected limbs to keep the flowing of the blood and soften the muscle. Every treatment or exercise needs to be done periodically and requires the help of a normal person such as nurses or physiologists. However, a caretaker may not be able to provide 100% of the assistance to those stroke patients. Therefore, an automatic device that can provide a periodic exercise could help stroke patients in their recovery process with minimal participation of caretaker. However, the available machine that can accommodate such services is bulky and costly. It exercises the whole body, and this is not beneficial if the stroke only effect to some part of the body. Hence, this study had shown that Theory of Inventive Problem Solving approach is able to reduce the size of the machine but gives significant impact on the specific limbs. The findings could be used as foundation for stroke rehabilitation development system. 07 30 2019 2329 2332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2722.078219 https://www.ijrte.org/portfolio-item/B2722078219/ is with Saveetha Engineering College and currently working as Professor in Saveeetha Engineering College, India Hariharan shanmugasundaram N. Ravindhar Assistant Professor (OG) in Department of Computer Science and Engineering, Saveetha Engineering College, India. Sree Ranjani completed her undergraduate degree programme [B.E(CSE)] from Saveetha Engineering College affiliated to Anna University, Chennai, India Computer has become one of the growing technologies in today’s world. Therefore, an efficient technique must be used in-order to have a good interaction with the computer. The Human-Computer Interaction is one of the growing technologies that enriches better interaction among the humans and computers. Human Computer Interaction is an efficient way to have an interaction between human being and computer. This paper deals with the better version of interacting with the computer through the object detection. The object detection is done with the RGB colours. Once when the colour of the object is detected, accordingly the functionalities are performed. All these detections are done within the desktop environment i.e., by using web-cam. In this method every human can have better communication with the computer in a better way. By this way it enhances the human computer interaction. 07 30 2019 5499 5504 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2751.078219 https://www.ijrte.org/portfolio-item/B2751078219/ Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh, Assistant Professor, MarriLaxman Reddy Institute of Technology & Management, Dundigal, Hyderabad-500043, Telangana, India Shaik Abdul Mazeed R. Sarveswara Reddy Research Scholar, Rayalaseema University, Kurnool-518004, Andhra Pradesh, Assistant Professor, Dr.K.V. Subba Reddy School of Business Management, Kurnool-518218, Andhra Pradesh, India. C. Sowbhagya Lakshmi Research Scholar (Part-Time), Yogi Vemana University, YSR Kadapa-516005, Andhra Pradesh, Assistant Professor, Chaitanya Bharathi Institute of Technology, Proddutur, YSR Kadapa-516360, Andhra Pradesh, India. Banking industry has grown quickly all over the world, at the same time insurance industry has also grown rapidly in the same cut throat economic environment. With the entry into non core products or services like insurance and securities markets, these days banks have increased their businesses. The integration of financial markets, emergence of new technologies and expansion of non-banking activities has a great impact on baking operations. Thus it results in opening doors for the business of non core products like insurance and securities (bancassurance) by banks. The only intention behind this diversification of business by the banks is to provide ample investment alternatives to the common people who do not have access to various financial products and securities so that they can maximize the returns on their investment. The increasing popularity of bancassurance has widened the scope of research in this area. In this study an attempt is made to know the impact of bancassurance on customers while they made decisions to purchase the insurance policies. 07 30 2019 2787 2790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2753.078219 https://www.ijrte.org/portfolio-item/B2753078219/ Department of Civil Engineering, Mangalayatan University, Aligarh, India. Mahesh Kumar S Kaleem Afrough Zaidi Civil Engineering Section, Aligarh Muslim University, Aligarh, India SC Jain Department of Mechanical Engineering, IIT, Mandi, India KVSM Krishna Institute of Business Management, Mangalayatan University, Aligarh, India. Wide spread literature is available on the approach to assess the strength of Reinforced Concrete structures. However no attention has been made so far to study the similar potential when the RC columns are reinforced with double layer of transverse confining stirrups. An obvious reason could be that studies in double layered stirrups options are quite at their infancy. The authors took the advantage of their involvement in studying the axial compression behaviour in terms of strength and ductility of concrete columns reinforced with double layered transverse confining stirrups, applied the two non-destructive measures, viz., Rebound Hammer Test Method (RHTM) and Ultrasonic Pulse Velocity Test Technique (UPVTT), and destructive testing measure, viz., Compression Testing Method (CTM) on the specimens that they have developed in this study. The results have been subjected to regression techniques to build relevant equations for predictability. The present study attempts to explain the detailed procedures adopted within the frame work of the informed knowledge and had attempted to derive meaningful implications for the use of practitioners and academic fraternity. The findings of this paper drew attention to the superior impact of a combined non-destructive testing approach whereby RHTM and UPVTT have been merged in a fashion to yield better assessment of RC columns with double layers of transverse confining stirrups. The combined influence of RHTM and UPVTT clearly explain, greater characteristic compressive strength as one moves from a specimen with a Normal Strength Concrete (NSC) to a specimen with High Strength Concrete (HSC). 07 30 2019 3450 3459 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2754.078219 https://www.ijrte.org/portfolio-item/B2754078219/ Research scholar at Amity University Uttar Pradesh, Lucknow Campus. Suhel Ahmad Dr. Alpana Srivastava Professor at Amity University Uttar Pradesh, Lucknow Campus. Dr. Seema Sharmais Faculty Department o Economics and Statistical Analysis in the Department of Management Studies at IIT Delhi. Customer attrition has become a serious problem globally, particularly in telecom service, resulting into substantial revenue decline. Attrition may result in accumulation ofdues as a resultof payment defaults.Proactive identification of potential attrite will help in retention as well as minimizing loss of revenue.For attrition detection many robust but complex algorithms are used. Depending on the severity of error, the complexity can be lessened and thus cost. Two methods of decision rules (1R& C5.0) are used to predict the attrition and predictive accuracy is judged withconfusion matrix. Comparison between models is made by sensitivity and specificity. It was found that 1R has a sensitivity of .60 against .69 for C5.0 and hence, the performance is not significantly different. It is suggested that 1R could be used instead of more complex algorithmsand also it can be adopted for benchmarking. 07 30 2019 3119 3123 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2757.078219 https://www.ijrte.org/portfolio-item/B2757078219/ Dept. of Computer Science & Engineering, Noida International University, Greater Noida, India Ashok Kumar Shrivastava Dr. Sanjay Jain Dept. of CSA, ITM University, Gwalior, India. Images captured in foggy/hazy environment suffers from poor visibility due to the increase of whiteness and low contrast. It affects vision applications used in object identification, surveillance, tracking and target setting. In this paper, a robust technique for removing fog from single image and enhance the visibility is proposed to satisfy vision applications. Proposed technique is simple and uses mean filter for image smoothing. Computer vision techniques are used to reconstruct image and contrast enhancement. Experiments on different foggy images shows the power of proposed technique. 07 30 2019 3124 3130 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2758.078219 https://www.ijrte.org/portfolio-item/B2758078219/ Assistant Professor, SRM Institute of Science and Technology, Kattankulathur Chennai, Vijayalakshmi V Vimal S Assistant Professor, Jeppiaar Engineering College, Chennai The mobile internet and the internet of things (IoT) has emerged out with various applications were centralized cloud computing has faced several challenges over the past years. Challenges include high latency and low Spectral Efficiency. Nevertheless, these challenges can be faced using a novel technology which is now emerging out as a major trending technology that supersedes centralized cloud computing with edge devices of networks. Well, this technology will reduce the latency and will enhance spectral efficiency and will also support massive machine types of communication. A detailed description of this trending technology deals with mobile edge computing, cloudlets and fog computing. In addition, the functioning process of each computing technology is also included. The different characteristics of mobile edge computing and fog computing have been focused. However the most significant part of how these technologies work under the discussion of telecommunication network is also briefly explained. 07 30 2019 4289 4293 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2759.078219 https://www.ijrte.org/portfolio-item/B2759078219/ Dept of IT, Gitam University, Visakhapatnam, AP, India. Suvarna U Srinivas Y Dept of IT, Gitam University, Visakhapatnam, AP, India. The most modern technological innovations led towards generating lots of data, which is either redundant or of imperative use. To mine the meaningful information from this huge repository, Data mining techniques will be of vital importance. This article aims at mining the useful patterns from this enormous repository and presents some possible solutions while treating the patients suffering with various problems of infertility. A Classified High utility item set mining with Naïve Bayes classification (CHUIM-NB) is proposed for classifying the data, which will be of productive usage to the Medical Practitioners during the treatment of the patients. The proposed model has three stages: the stage1 aims at generating the training data, the second stage aims at proposing a two phase algorithm for producing high utility item set and also the rules for association mining (CHUIM) and in the third stage, the Naives classification model (CHUIM-NB) is considered for the effective diagnoisis/ treatment. 07 30 2019 2791 2800 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2762.078219 https://www.ijrte.org/portfolio-item/B2762078219/ Department of Applied Science, Northcap University, Gurgaon, India. Indu Bala Anshu Malhotra Department of Applied Science, Northcap University, Gurgaon, India. The research paper herewith presents an effectual diagnosis classification system using fuzzy classifier and a very efficient heuristics algorithm comprehensive learning gravitational search algorithm (CLGSA) which has a good ability to search and finding optimal solutions. The effectiveness of the proposed model is estimating on Wisconsin breast cancer data set available in the UCI Machine learning source in the University of California, Irvine. We testify the data over the parameters of classification of accurateness, sensitivity as well as specificity with a much better and more responsive 10-fold cross validation method; which is considered as a reliable diagnostics model in the medical field. Experiment results have clearly shown that the proposed approach will turn out to be a calculative and decisive medium for cancer detection in the field of medicine. 07 30 2019 2688 2694 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2801.078219 https://www.ijrte.org/portfolio-item/B2801078219/ Computer Science and Engineering, BMSIT&M, Bangalore, India Satish Kumar .T Vishwakiran Computer Science and Engineering, BMSIT&M, Bangalore, India. Preran Devaiah Research Scholar, Computer Science and Engineering, BMSIT&M, Bangalore, India Question and answer systems play a crucial role in providing answers to users that seek it, primarily in the case of non-factual questions. A Social Q&A system aims to integrate properties of social networks like similar interests of the users and mutual trust between within a set of friends which makes the reliability of certain answers more prudent. In simple terms, it aims to find a expert that can provide the right answers, ideally within the user’s social circle. Our project endeavors to serve pregnant mothers in answering their private or non-private questions regarding their pregnancies. Our system provides a platform for the to-be mothers to ask their questions to experts who can suggest suitable advises for their benefit. The user also has the added advantage of accessing information from experts who belong to their social circle thereby reducing the anonymity of the expert. We have compared the accuracy of few machine learning algorithms that includes Decision Tree (DT), Support Vector Machine (SVM), K-Nearest Neighbor kNN), Logistic Regression (LR), ZeroR (the baseline classifier). Our model has an accuracy of over 75%, while demonstrating robustness across learning algorithms. 07 30 2019 4294 4297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2802.078219 https://www.ijrte.org/portfolio-item/B2802078219/ Centre for Applied Research in Electromagnetics Lab, Dept of ECE, Koneru Lakshmaiah Education Foundation, Guntur-AP G B G Tilak Sarat K Kotamraju Professor, Dept of ECE, Centre for Applied Research in Electromagnetics Lab, Dept of ECE, Koneru Lakshmaiah Education Foundation, Guntur-AP B T P Madhav Professor, Dept of ECE, Antennas & Liquid Crystals Research Center Lab, Dept of ECE, Koneru Lakshmaiah Education Foundation, Guntur-AP A monopole broken heart shaped antenna is presented in this article. The WiMAX band application has been taken as objective. The proposed antenna design is carried out in different iterations to obtain the required band. Proposed broken hearts shaped antenna works in the band from 3.2GHz – 4.1GHz.the heart shaped double slotted ring resonator (SRR) with two different radius is seen in the final iteration to enhance the bandwidth (900MHz), and gain (3dB). The other parameters such as VSWR (almost < 2 at WiMAX band), impedance (both real & imaginary), efficiency which is almost 89%has been noticed in this design. So, the proposed broken heart shaped monopole antenna which works at WiMAX band shows the moderate gain, size reduction omnidirectional pattern, high efficiency, etc. which are important in WIMAX application band. 07 30 2019 2333 2337 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2803.078219 https://www.ijrte.org/portfolio-item/B2803078219/ Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India Pritesh Shah Ravi Sekhar Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India. Sudhir Agashe Department of Instrumentation and Control, College of Engineering, Pune, India. A non-minimum phase system has the unique characteristic of undershoot or over and undershoot based on the number of zeros and the location of zeros in the systems. A fractional PID controller has the ability to capture more dynamics, as there are two more parameters to tune compared to a traditional PID controller. In this paper, a fractional PID controller is designed for single and multi-variable non-minimum phase systems. A simple optimization method for the tuning of a fractional PID controller has been applied. Six different single variable plants were simulated covering different cases of non-minimum phase systems. Simulation results showed that zero crossing is reduced to a greater extent by fractional PID controller as compared to traditional PID controller for single variable systems. This paper also provides experimental validations for design and tuning of a fractional PID controller for a multi-variable non-minimum phase quadruple-tank system. Fine tuned experimental results agree well with simulation results, thereby validating the applicability of the fractional PID controller for multi variable non-minimum phase systems. 07 30 2019 2801 2811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2805.078219 https://www.ijrte.org/portfolio-item/B2805078219/ Assistant Professor, Department of ECE, Mepco Schlenk Engineering College, Sivakasi, (Tamil Nadu,) India. S. Sridhar Raj S. Vijay Gokul Assistant Professor, Department of ECE, Mepco Schlenk Engineering College, Sivakasi, (Tamil Nadu,) India. To provide a comfort, tension free, straightforward approach of traveling and conjointly to scale back the man power. SRTS involves the effective usage of RFID tags and Reed sensor to make ticketing better, through which the tag holds the identity of the card holder and Reed sensor, comprising a sensor and magnet to determine the distance travelled by the user. RFID Tag can be used by the user for just entering and leaving the bus. Depending on the distance which is travelled by the user, money will be deducted from the card well in advance. An object counter is placed adjacently to detect the number of persons entering the transport vehicle. 07 30 2019 4298 4301 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2807.078219 https://www.ijrte.org/portfolio-item/B2807078219/ MEMS Research Center, Department of Electronics & Communication Engineering, Koneru Lakshmaih Education Foundation (Deemed to be University), Green Fields, Vaddeswaram, Guntur-522502, Andhra Pradesh, INDIA G V Ganesh K. Srinivasa Rao MEMS Research Center, Department of Electronics & Communication Engineering, Koneru Lakshmaih Education Foundation (Deemed to be University), Green Fields, Vaddeswaram, Guntur-522502, Andhra Pradesh, INDIA. This paper reports the design and analysis of series type MEMS switch. This switch can be used for tunable filter applications from DC-10GHz frequency range. The study briefly explains the design of switch and analysis of various switching parameters. Through electrostatic actuation mechanism the switch is optimized in terms of various parameters like beam thickness, beam width, airgap, conductor and dielectric materials. Study of proposed design with COMSOL for electromechanical analysis and HFSS for electromagnetic analysis. The switch has theoretical and simulated actuation voltages of 22.81V and 38V respectively. It has the switching time of 33.36μs. The upstate and down state capacitances of 0.286pF, 3.93fF respectively. When the switch is in ON state an insertion loss of less than -0.1dB and return loss of -15dB is achieved. When the switch is in OFF state an isolation loss of -0.1dB and return loss of -21dB is achieved at 3GHz. 07 30 2019 3460 3465 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2808.078219 https://www.ijrte.org/portfolio-item/B2808078219/ Department of Aerospace Engineering, University of Petroleum and Energy Studies, Dehradun, INDIA. Aslesha Bodavula Ugur GUVEN Department of Aerospace Engineering, University of Petroleum and Energy Studies, Dehradun, INDIA Rajesh Yadav Department of Aerospace Engineering, University of Petroleum and Energy Studies, Dehradun, INDIA Need of micro aerial vehicles and Unmanned Air Vehicles is increasing due to military, defense and civilian requirements. These vehicles fly at very small Reynolds numbers and have to move in confined spaces with a bare minimum speed, to achieve high lift coefficient is the main concern. The main focus of this research paper is to carry out the computational analysis and study the unsteady flow over NACA0012 airfoil with right angle triangular protrusion at the Reynolds number 105. The location of the protrusion is 0.05c, with three different heights of protrusion 0.005c, 0.01c, and 0.02c, normal to the surface of the airfoil. Geometric modeling and grid generation are created using the ICEM CFD software and numerical analysis carried out using CFD Software at various angle of attacks ranging from 00 to 160 with 20 intervals. Numerical validation has done and compared. The results obtained from the research work is recommend that for smaller protrusions the lift and drag coefficients are unaffected in the low angle of attacks while the lift characteristic is significantly improved at the higher angle of attacks. 07 30 2019 2583 2588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2809.078219 https://www.ijrte.org/portfolio-item/B2809078219/ Research Scholar, KL University, Guntur & Senior Assistant Professor, ECE Department, PVPSIT, India. Habibulla Mohammad Dr. A S C S Sastry Professor, Electronics and Communication Department, KL University, Vaddeshwaram, India To improve the lifespan by reducing the energy utilization of battery-driven sensors in wireless network applications has grown into a challenging task in the fields of communication. Sleep/wake programming mechanism is evidenced to be an well-organized method to meet the challenges and to maintain good energy conservation in sensor networks. In this study, we take enhanced DEC (Deterministic Energy Efficient Clustering protocol) with distributed sleep/wake scheduling scheme i.e. purely deterministic model that make effective use of clustering to organize the WSN. In this proposal cluster division of sensor nodes is based on coverage sensing metrics and through dynamic selection mechanism, it allows additional node in every group to be active concurrently. The results obtained using the concept of DSWS-DEC outperform various existing in terms of coverage and energy preservation. 07 30 2019 2695 2701 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2810.078219 https://www.ijrte.org/portfolio-item/B2810078219/ Faculty of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada (JNTUK), Kakinada, Andhra Pradesh, India. K. Rajasekhar B.T. Krishna Faculty of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada (JNTUK), Kakinada, Andhra Pradesh, India. Design of low frequency applicable fractional order digital differentiators and integrators using direct discretization is the main objective of this paper. Model order reduction procedure is used to obtain the novel first order s-to-z transform. Continued fraction expansion (CFE) technique is used to discretize that transform. The design of one-half digital differintegrators based on proposed transforms will be compared with the well known existing first order transforms namely, Bi-linear and Al-Alaoui transforms. The efficacy of the designed methods presented interms of normalized magnitude error (NME). The designed fractional order digital filter coefficients are tabulated and all simulation results are carried out by using MATLAB software. 07 30 2019 3251 3255 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B2813.078219 https://www.ijrte.org/portfolio-item/B2813078219/