-5171ffc0182b6af927f-59cb 20220923034231326 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 9 2 Symbiosis Institute of Computer Studies and Research Faculty of Computer Studies, Symbiosis International Deemed University, Pune, India Prafulla Bafna Dhanya Pramod Symbiosis Centre of Information Technology, Faculty of Computer Studies, Symbiosis International Deemed University, Pune, India The web is one of the largest textual data repositories in the world. There is voluminous data in the digital world. To search for online hotels based on specific requirements of the user is not a very easy job. Ratings and reviews available on different travel websites help to some extent but gives generalized recommendations. A recommender system (RS) which uses reviews is known as content-based and is preferred, to produce a recommendation. Proposed RS maps all requirements of a traveler to features of a hotel and produces person specific recommendation. Phrase-based Recommender System is proposed to reduce efforts and time as compared with a traditional generalized recommender system. The proposed approach makes use of hotel reviews downloaded from TripAdvisor site. The technique initiates with phrase-based feature extraction followed by iterative clustering and ends with feature mapping and exports more relevant recommendations. Betterment of a technique is proved in terms of relevance, accuracy, scalability, and consistency by comparing precision and entropy refinement and corpus size with existing technique. 07 30 2019 5406 5411 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3454.078219 https://www.ijrte.org/portfolio-item/B3454078219/ Department of Computer Engineering, G. B. Pant University of Ag. & Technology, Udham Singh Nagar, India. Dr. Rajeev Singh Jitendra Kumar Department of Computer Engineering, G. B. Pant University of Ag. & Technology, Udham Singh Nagar, India.. In any education system, attendance of students is the first and foremost thing. Apart from academic compulsion, it reflects trust and belongingness of the students in system. In current scenario with large number of students and modern teaching equipments, the methodology of attendance keeping and maintenance needs to be changed. Hence, we have developed a prototype system using PHP/MySQL in which attendance is marked via mobiles that use wireless LAN connectivity through Access Points. The attendances so marked are stored on to a server. From the stored data, the reports of the students (regarding status: regular, short or condone) are generated. The developed system is tested in class room environment at G.B. Pant University of Ag. & Technology during teaching and is found to be effective. This system can be easily customized as per attendance system of any other Institute/University. 07 30 2019 4555 4564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3456.078219 https://www.ijrte.org/portfolio-item/B3456078219/ CSE Department, Aditya Institute of Technology and Management, affiliated to JNTUK University, Tekkali, India, B.Kameswara Rao Dr A.S.N. Chakravarthy CSE Department, Professor, JNTUKUCEV University, Vizianagaram, India. In present scenario, Mobile Ad-hoc Networks (MANETs) is the emerging research topic in the applications like disaster situations (battle fields, earthquake, etc). The utility of MANET is increased by combining with the internet. The conventional techniques in MANET have a few issues like less infrastructure, standalone networks, and dynamic or complex topology. In order to address these issues, an efficient clustering and channeling algorithm (Hybrid K-means, Particle Swarm Optimization (PSO) based Ad-hoc On-demand Distance Vector (AODV) channeling algorithm) is developed for maximizing the network lifetime. The proposed algorithm finds the optimal cluster head selection for discovering the shortest path among the cluster heads. The Hybrid-K-means-PSO-AODV technique is applied to increase the Network Lifetime (NL), alive nodes, total packet send, throughput, and also to minimizes the dead nodes and energy consumption in a network. In the experimental phase, the proposed approach reduced the emery consumption up to 170 joules related to the existing approaches: PSO-PSO- MANETs and PSO-GSO- MANETs. 07 30 2019 4054 4059 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3457.078219 https://www.ijrte.org/portfolio-item/B3457078219/ Department of Engineering and Architecture, University of Parma, Parma, Italy and Department of Innovative Technologies, SUPSI, Manno, Switzerland. Marco Silvestri The vibrational effects created by machines moving parts is strictly related with the characteristics of the law of motion they implement, both in case of cam-follower devices and in case of servo system electronic cam controls. One of the most effective way to prevent these harmful phenomena is to limit the harmonic content of the law of motion by designing their curve as a combination of few, low frequencies, sinusoidal curves, but this often makes difficult to satisfy other functional requirements like precision points or constant speed intervals. In this work an original method to solve this problem is illustrated. It adds to the programming language CamOMiLe new functions to assist the functional design of mechanisms. The combination of the classical theory results with the flexibility of CamOMiLe building block approach makes possible to address a large number of practical applications and two examples of them are illustrated. 07 30 2019 3778 3783 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3459.078219 https://www.ijrte.org/portfolio-item/B3459078219/ Dept. of ECE, University Engineering College, Satellite data analysis & application centre, Centre of Excellence in VLSI Design and Antennas, Acharya Nagarjuna University, India. Lakshmi Prasanna Kanithi M. Usha Dept. of ECE, Asst. Professor, University College Engineering & Technology/Acharya Nagarjuna university/Guntur, Andhra Pradesh, India. Design of Concentric Circular Antenna for Multiband Applications should be presented in this paper. In this paper the concentric circular antenna has been designed and propound and then operates at S, C, X, Ku, K, Ka and Q bands. In order to improve the radiation characteristics the concentric slots are introduced. The designed antenna operated at a frequency from 1 to 40 GHZ for return loss -10dB. The designed antenna substrate length (L1) and width (W1) are 34 mm x 36 mm and it coated with FR4 epoxy material. The line capacitance and inductance of circular patch are increased by use of concentric circular slots. The concentric circular antenna is studied and simulated to operate at seven different frequencies at 3.43GHZ, 7.63GHZ, 10.51GHZ, 15.98GHZ, 24.58GHZ, 30.28GHZ and 35.67GHZ. The concentric circular antenna uses HFSS v.13.0 (High Frequency Structure simulator) for design and simulation purposes. 07 30 2019 4060 4064 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3469.078219 https://www.ijrte.org/portfolio-item/B3469078219/ PG Department of Computer Science, D.G Vaishnav College, Chennai-600 106, India Dr .A. Anitha Dr. T. Sridevi PG and Research Department of Computer Science & Applications, D.G Vaishnav College, Chennai-600 106, India. Vasculature of human retina furnishes information concerning various eye related ailments and also assists in lesions detection. Severity of the eye diseases can be discerned from pathological conditions related to changes in the retinal vasculature. In this work, for pre-processing, Contrast Limited Adaptive Histogram Equalization (CLAHE) and average filter is used to enhance the input image. Further, swarm intelligence techniques, Particle Swarm Optimization (PSO), Darwinian Particle Swarm Optimization (DPSO), Fractional Order- Darwinian Particle Swarm Optimization (FO-DPSO) are used in segmenting the blood vessels of the human retina. Additionally, similarity index metrics are employed in evaluating the accuracy of the retinal vasculature segmentation with ground truth. The results obtained clearly reveals that FO-DPSO outperforms in segmenting accurately than PSO and DPSO. Results of the segmentation are further reinforced using box and dendogram plot. 07 30 2019 5565 5572 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3473.078219 https://www.ijrte.org/portfolio-item/B3473078219/ University School of Financial Studies, Guru Nanak Dev University, Amritsar, Punjab, India. Dr. Sidharath Seth Dr. Jaspal Singh University School of Financial Studies, Guru Nanak Dev University, Amritsar, Punjab, India. This paper investigates the profitability of a candlestick reversal pattern ‘Shooting Star’ in Indian stock market. Its profitability is investigated by using daily data of Nifty 50 component stocks over the period from January 1, 2000 till December 31, 2017. Seven different trading strategies based on shooting star are tested using bootstrapped skewness adjusted t-test and binomial test. The superior performance of three trading strategies for one- and two-day holding periods demonstrates that it can be used to generate profits in Indian stock market. It is recommended that one should trade shooting stars of significantly smaller size and exit short positions within two days. 07 30 2019 5412 5417 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3484.078219 https://www.ijrte.org/portfolio-item/B3484078219/ Department of Humanities and Science, S R Engineering College, Warangal C. Bala Rama Krishna S. Vishwa Prasad Rao Department of Humanities and Science, S R Engineering College, Warangal G. Anusha Department of Humanities and Science, S R Engineering College, Warangal In this article, we have used DT Method (Differential Transform Method) and Numerical Differentiation Method to solve a third order initial value problem . We observed that the solutions by these methods are very close to the exact solution. The methods have been demonstrated and hence the superiority of the ND Method is observed. A numerical example is illustrated by using DT and ND methods and the results were compared with exact solution. 07 30 2019 3784 3789 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3484.078219 https://www.ijrte.org/portfolio-item/B3484078219/ Student, Department of ECE, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India Saripalli Sri Sravya Kalva Sri Rama Krishna Professor, Department of ECE, Velagapudi Ramakrishna Siddhartha Engineering College , Vijayawada, India Pallikonda Sarah Suhasini Associate Professor, Department of ECE, Velagapudi Ramakrishna Siddhartha Engineering College , Vijayawada, India. Deep learning algorithms, in particular Convolutional Neural Networks have made notable accomplishments in many large-scale image classification tasks in the past decade. In this paper, image classification is performed using Supervised Convolutional Neural Network (SCNN). In supervised learning model, algorithm learns on a labeled dataset. SCNN architecture is built with 15 layers viz, input layer, 9 middle layers and 5 final layers. Two datasets of different sizes are tested on SCNN framework on single CPU. With CIFAR10 dataset of 60000 images the network yielded an accuracy of 73% taking high processing time, while for 3000 images taken from MIO-TCD dataset resulted 96% accuracy with less computational time. 07 30 2019 4505 4507 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3486.078219 https://www.ijrte.org/portfolio-item/B3486078219/ Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia. Ching Vern LIOW Darrien Yau Seng MAH Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia. Marlinda Abdul MALEK Institute Sustainable Energy, Universiti Tenaga Nasional, 43000 Selangor, Malaysia. Storm Water Management Model (SWMM) and SolidWorks Flow Simulation (SW-FS) models to represent StormPav Green Pavement System are tested through a case study of commercial premises. Modelling effort of simplifying the complex StormPav system to take in only the effective storage volume is attempted using the 1D SWMM. A 3D modelling of capturing the multi-compartmental and multi-unit StormPav system is attempted using SW-FS. The modelling outputs in terms of velocity distribution within the StormPav system of the two developed models are found to reasonably matched. 07 30 2019 4673 4679 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3495.078219 https://www.ijrte.org/portfolio-item/B3495078219/ Industrail Microbiology, Suan Sunandha Rajabhat University, Bangkok, Thailand Jaruwan Chutrtong This research was conducted to select halophilic microorganisms that can reduce heavy metals in water to be used in wastewater treatment. Halophilic bacteria from salt field soil were isolated in nutrient broth containing 5 heavy metals compound (Zn, Co, Cr, Hg, and Cu). 20 isolates which growth in heavy metal containing media were screened. After that, experiment was conducted to determine the maximum concentration of heavy metals that the isolated could growth. The concentration of heavy metals was obtained from 50-500 mg/L. In media which add Zn, Co, Cr and Cu compound, the isolated were found to be able to grow at concentrations of 450-500 mg/L but they did not grow in media which add Hg (50-500 mg/L). To check the heavy metal degrading ability, the isolates were cultured in nutrient broth which add the most concentrated of heavy metal that they could grow and incubated at 37 ° C for 15 days. Measured the remaining heavy metals and counted the number of microorganisms on days 3, 5,7,10 and 15 were done. It was found that microorganisms were capable to reduce two heavy metals, Cr and Co. Cr reduced by the isolated HL7 and 10-20. Co reduced by the isolated HL1, 3, 4, 5, 7, 8, 10, 11 and 15. Zn and Cu decreased at the decimal level, which were not significant. The results of this research showed that the isolated of halophilic bacteria which isolated from soil in Samut Sakhon had the ability to reduce some heavy metals, which can be applied in wastewater treatment. 07 30 2019 5739 5742 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3498.078219 https://www.ijrte.org/portfolio-item/B3498078219/ Research Scholar, Assistant Professor, Department of CSE, Jawaharlal Nehru Technological University Kakinada AP India. Suneetha Eluri Sumalatha Lingamgunta Professor, Department of CSE, Jawaharlal Nehru Technological University Kakinada AP India One of the important tasks of Natural Language Processing (NLP) is Named Entity Recognition (NER). The primary operation of NER is to identify proper nouns i.e. to locate all the named entities in the text and tag them as certain named entity categories such as Entity, Time expression and Numeric expression. In the previous works, NER for Telugu language is addressed with Conditional Random Fields (CRF) and Maximum Entropy models however they failed to handle ambiguous named entity tags for the same named entity. This paper presents a hybrid statistical system for Named Entity Recognition in Telugu language in which named entities are identified by both dictionary-based approach and statistical Hidden Markov Model (HMM). The proposed method uses Lexicon-lookup dictionary and contexts based on semantic features for predicting named entity tags. Further HMM is used to resolve the named entity ambiguities in predicted named entity tags. The present work reports an average accuracy of 86.3% for finding the named entities. 07 30 2019 4211 4216 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3500.078219 https://www.ijrte.org/portfolio-item/B3500078219/ Department of Plant Sciences, SBK Women’s Univevrsity, Quetta, Pakistan. Safia Gul Yumi Zuhanis Has-Yun Hashim International Institute for Halal Research and Training, Iinternational Islamic University Malaysia, Selangor, Malaysia. Noor Illi Mohamad Puad Biotechnology Engineering Department, Iinternational Islamic University Malaysia, Selangor, Malaysia. Infectious diseases outbreak caused by different pathogenic bacteria and the emergence of antibiotic resistance microbial raise new concerns. This situation triggered pharmaceutical companies and researchers to seek for alternatives antimicrobial agents. The discovery of green nanoparticle in pharmaceutical area not only proven to have a strong efficacy as antimicrobial but also promote an eco-friendly compound where the production does not produce hazardous chemicals and waste. In the present study, metallic nanoparticles (Zn) were synthesized using plants extract from Viola yedoensis and Curcuma longa species. The green nanoparticles were successfully synthesized by incorporating plant extracts with the zinc salt with different molar concentrations. The mixture were prepared at different pH, zinc salt (ZnSO4) concentrations and interval times of incubation. The result showed 15 mM concentration of ZnSO4 at pH 7 and incubation at the room temperature for 24 hours were the best conditions for green nanoparticles production. The color intensity changes during the reduction reaction of ZnSO4 by plant extract to form zinc nanoparticles (ZnNPs) was measure using UV spectrophotometer. ZnNPs with the highest color intensity (viola-358nm; turmeric-375nm) were further characterized to determine the elements and morphology of the synthesized ZnNPs using FTIR, XRD and SEM. FTIR analysis demonstrated the presence of aromatic rings and strong bond of O-H and C-H indicating the presence of alcohol and alkene in turmeric ZnNPs. While for viola ZnNPs, the presence of aromatic ring and strong bond of amine showed the existence of alcohol and alkene. The average size of turmeric and viola ZnNPs measured by XRD and SEM were 24-28 nm with spherical shape and 42–60 nm with hexagonal shape, respectively. The biological activity of both ZnNPs were validated by conducting antimicrobial tests towards Leishmanial tropical in which ZnNPs have strong antileishmanial activities. 07 30 2019 5743 5749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3503.078219 https://www.ijrte.org/portfolio-item/B3503078219/ Ministry of the Interior of Russian Federation, Moscow, Russia. Yuriy Vorobyov Diana Burkaltseva Ministry of the Interior of Russian Federation, Moscow, Russia. Aleksandr Betskov Ministry of the Interior of Russian Federation, Moscow, Russia. Hizri Kilyaskhanov Ministry of the Interior of Russian Federation, Moscow, Russia. Elena Vorobyоva V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia. Oleg Blazhevich V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia. Elena Smirnova V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia. Irina Kurianova V.I. Vernadsky Crimean Federal University, Simferopol, Republic of Crimea, Russia. Food security issues have been addressed by many scientists in the framework of food policy development and government regulation of agro-industrial complex (agribusiness), where investment in agribusiness is the cost, expressed in monetary form, whose results are manifested over a long period of time or after a long period.The purpose of the article is to formulate a system of indicators for the analysis of agriculture when developing food policy.Methods. Application of modeling in the course of strategy development in investment activity allows taking into account the specifics of economic activity of agricultural enterprises and variability of efficiency. Results/Conclusion The main types of investment in agriculture are:  capital contributions in the form of investments of financial and material and technical resources in the reproduction of fixed assets, soil fertility, and water resources through new construction, expanded technical re-equipment, and maintenance of existing production;  investing capital in the creation of inventories;  financial resources in the form of shares, bonds and other securities, as well as the cost of the acquisition of treasures and bank deposits, financial assets. When developing food policy, the analysis of indicators characterizing the agricultural organization's performance allows obtaining consolidated indicator. Combining three integrated indicators calculated for each block of indicators (Block 1 – Analysis of crop production; Block 2 – Analysis of animal production; and Block 3 – Analysis of agricultural organizations performance), into consolidated indicator allows assessing the development of agriculture in general. 07 30 2019 4680 4684 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3509.078219 https://www.ijrte.org/portfolio-item/B3509078219/ MTech Student, Dept of CS & E, Chh. Shahu College of Engineering, Aurangabad, India. Mr. Pushpendra M. Chavan Prof. Sandeep P. Abhang Professor & HoD, Dept of CS & E, Chh. Shahu College of Engineering, Aurangabad, India. Prof. U. B. Shinde Principal, Chh. Shahu College of Engineering, Aurangabad, India. DevOps shortly refers to the common intelligent practice of combining the Software Development and Operations to carry out certain set of tasks for automation of jobs. Methodologies in DevOps have become first choice for the system administrators to carry out operations [3]. Deployment of the Operating System, since a big task, can be carried out by many ways, like manual or an automated method [1]. Manual method is a time consuming and prone to errors whereas the automated method is much better in terms of management and repetition. This research paper covers the need of such Automated Deployment method including much needed tasks such as server and client side configurations, centralized monitoring, logging and software patch management. As as addition, the proposed network in itself is self healing at the Operating System level, without compromising security and removing corruption at libraries and binaries level. Use of this optimized method helps reducing administration effort and is prone to no errors. A Self healing service makes sure of no corruption for long term and centralized logging helps monitoring the network as well [5]. The Intelligent Networking for Automated Deployment is a DevOps reference project which can be useful for automation in the Organizations for heavy and uniform deployments along with additional monitoring configurations. 07 30 2019 5750 5752 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3510.078219 https://www.ijrte.org/portfolio-item/B3510078219/ Vavilov Saratov State Agrarian University, Saratov, Russia. I.L. Vorotnikov K.A. Petrov Vavilov Saratov State Agrarian University, Saratov, Russia. O.A. Esin Vavilov Saratov State Agrarian University, Saratov, Russia. M.Sh. Gutuev Dagestan State University of National Economy, Makhachkala, Russia. O.V. Ermolova Institute of Agrarian Problems of the Russian Academy of Sciences, Saratov, Russia. The article substantiates the need for improving technologies used in repairing and maintaining agricultural machinery. A form was developed for centralizing repair and maintenance activities. The authors highlighted the advantages of the proposed form of optimization for dealerships and agricultural producers. The article’s data can be used to plan the expansion of a chain of dealerships in various regions. 07 30 2019 4685 4690 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3511.078219 https://www.ijrte.org/portfolio-item/B3511078219/ Department of Biotechnology, R.B.S. Engineering Technical Campus, bichpuri, Agra,INDIA. Meenal Sharma Dr.V.K. Srivastava Department of Biotechnology, R.B.S. Engineering Technical Campus, Bichpuri, Agra, INDIA. This paper deals with this research “Role of compost in reduction of saline soil of Agra” [1] and “Soil salinity reduction by bio-compost” [2]. The salinity of the soil is the occurrence which raises the salt content from standard value. The method of increasing the salt content is called Salinization. In soils and water, salts usually occur. It can be these bilish Salinization. Characteristic methods, e.g., durability of minerals or progressive sea removal. It may also come into being with an artificial drainage and excessive use in agriculture of synthetic fertilizers. Salt content is a significant crisis in both plant and crop development. The aim of this research is to study salinity problems on plant cultivation and how soil management methods can prevent salinization problems. Bio-compost has been used to decrease the salinity of the land. With the use of bio-compost, Agra's estibilised soil hydrology model was decreased. Soil-compost combination of saline soil SA-1 and soil samples SA-2 electrical conductivity (EC).To assess the influence of bio-compost on salinity on plant cultivation, greenhouse pot experiments were carry out on least salinity presence on both the soil by varying pH as 5.5, 6, 7 and 8. The plant chosen for this investigation was wheat ( Triticum Aestivum). The plant growth of wheat were obsevered significant at pH-6 and 7 in both SA-1 and SA-2 soil samples. The results of the study recommend bio-compost have great potential to reduce soil salinity and could be highly potent alternative to chemical fertilizer and increase the growth of plant. 07 30 2019 4847 4850 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3512.078219 https://www.ijrte.org/portfolio-item/B3512078219/ Research Scholar/ECE, BIHER - Bharath Institute of Higher Education and Research, Chennai, India Dinokumar Kongkham M Sundararajan Professor/ECE, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. The cooperation for big data applications through the cognitive radio innovation requires wideband spectrum sensing. Conversely, it is expensive to employ long haul wideband detecting and is particularly troublesome within the sight of vulnerability. For example, more noise, obstruction, anomalies, as well as channel blurring. In this article, we project the planning of successive compacted range detecting which together endeavors compressive sensing (CS) and consecutive occasional identification procedures to accomplish increasingly exact and convenient wideband detecting. Rather than summoning CS to recreate the signal in every period, our projected plan executes in reverse assembled packed information consecutive likelihood proportion test (in reverse GCD-SPRT) utilizing compacted information tests in successive identification, while CS recuperation is just sought after when required. This technique altogether diminishes the compressed sensing recuperation overhead, and on different exploits successive location to increase the detecting excellence. Moreover, we project an inside and out detecting plan to quicken detecting basic leadership when an adjustment in channel position is suspicious, (b) a square scanty CS remaking calculation to abuse the square sparsityfeatures of wide range, and (c) a lot of plans to meld results from the recuperated range signs to additionally improve the general detecting exactness. Broad execution assessment results demonstrate that the projected plans can altogether outflank peer conspires below adequately low SNR properties. 07 30 2019 4691 4695 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3515.078219 https://www.ijrte.org/portfolio-item/B3515078219/ Research Scholar, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. Shines T S S Ramamoorthy Professor & Former Head, Department of Electrical and Electronics Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. This paper presents the performance comparison of sine PWM and SVPWM based quasi impedance source inverter (QZSI).QZSI are used to boost the DC link voltage and convert DC voltage into AC voltage in a single stage with a concentrated number of semiconducting devices. Space vector pulse width modulation (SVPWM) method is used to control the inverter output voltage and reduce the current harmonic. MPPT technique is also integrated into the SVPWM technique to improve the maximum output power obtained from PV cells. Shoot through concepts is used to increase the DC link voltage and reduce the separate requirement of the boost stage. The projected QSZI inverter is simulated using MATLAB simu-link. SPWM and SVPWM method are used to determine the circuit performance. The circuit performance is compared with simulation results. 07 30 2019 4696 4699 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3516.078219 https://www.ijrte.org/portfolio-item/B3516078219/ Research Scholar, Department of Computer Science and Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. N Kandavel A Kumaravel Professor, Department of Information Technology, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. The cloud proclaims another period of compute where relevance administrations are given throughout the Internet. Cloud Computing may improve the calculating ability of mobile frameworks. Cloud Computing is a new worldview in which computing advantages, for instance, preparing, memory, and capacity aren’t actually exhibit at the client's area. Moderately, a dedicated co-op claims and contracts with these benefits, and customers obtain to them through resources of the web. Amazon Web Services offers customers a possibility to hoard entity in sequence through resources of its easy storage space check and execute computations on place not here in sequence. This kind of calculating give small introductory capital speculation, shorter start-up instant for novel administrations, lesser upkeep and task costs, superior use by virtualization, and simpler catastrophe recuperation. Cloud Computing may give power investment funds as a support of mobile clients; however it likewise represents some extraordinary difficulties. This paper basically center around image information offload as of mobile to remote server, which at that point procedures image and changes over it to suitable, good low goals image on solicitation through new mobile customers. This change lessens mobile gadget energy utilization pretty downloading equal lofty goals imagery. 07 30 2019 4117 4119 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3518.078219 https://www.ijrte.org/portfolio-item/B3518078219/ Research Scholar, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. B Gowri Sankaran B Karthik Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. S P Vijayaragavan Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. Raring the source files after divide them into some numbers which may increase loss ratio. Acquired loss ratio which may be improved by raring the individual part of the source with the help of various algorithm because each algorithm which may provides various raring ratio on involution values. In this paper, identical compression results and evaluate involution values of divide source which may obtained, and an evaluate algorithm which may got based on the following results is specified. Our algorithms divide the source into 18 parts, which may raring the individual parts with various algorithm and merge the sources after raring is to be done. Raring output which show case that the acquiring our evaluated algorithm which may use the larger raring ratio over all the source raring techniques with the ratio of 10 % on a average and 30% on larger. 07 30 2019 4700 4703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3519.078219 https://www.ijrte.org/portfolio-item/B3519078219/ Research Scholar, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. B Gowri Sankaran B Karthik Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. S P Vijayaragavan Associate Professor, Department of Electronics & Communication Engineering, BIHER - Bharath Institute of Higher Education and Research, Chennai, India. The outcome is a conclusive property for picking the pressure calculation with best pressure proportion. inside 8 calculations, just two calculations give stable outcomes with the difference in entropy. Jpeg2000 is productive for the most part on pictures with high multifaceted nature and lzma is effective on low unpredictability pictures. Despite the fact that the increase acquired is little, addition will develop with picture goals. Great success rate of the estimation calculation depends on the sum and nature of factual information. with the expansion of sum and assortment of information, calculation will give increasingly exact outcomes for various circumstances. Execution of estimation calculation is likewise founded on utilized realized calculations like jpeg2000 or lzma. With finding diverse unpredictability strategies, wiped out 14 calculations could be additionally utilized in estimation calculation. Utilizing these calculations with various circumstances could deliver progressively effective pressure proportions. a calculation with lossy picture pressure calculations could likewise be created. at the point when a client needs to indicate the record size or measure of misfortune before pressure, the calculation could choose legitimate lossy or lossless calculation with right pressure parameters to acquire wanted outcome. 07 30 2019 4704 4707 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3520.078219 https://www.ijrte.org/portfolio-item/B3520078219/ Financial University under the Government of the Russian Federation, Moscow, Russia. Victor Vasilievich Grebenik Leonid Nikolaevich Miroshnichenko Russian Academy of National Economy and Public Service under the President of the Russian Federation, Krasnogorsk, Russia. Stanislav Yurievich Evdokimov Russian Academy of National Economy and Public Service under the President of the Russian Federation, Krasnogorsk, Russia. Karine Surenovna Khachaturyan Russian Academy of National Economy and Public Service under the President of the Russian Federation, Krasnogorsk, Russia. Sergey Viktorovich Ilkevich Financial University under the Government of the Russian Federation, Moscow, Russia. The article is concerned with the development of approaches to the management of an enterprise’s financial results in modern conditions. It was established that financial results are characteristic of the integral application of methods and approaches that are seen in the use of general and specialized analysis systems designed to determine whether an enterprise’s financial results are managed efficiently. As a result, this makes it possible to study the problem comprehensively taking into account the current state, performance and structures of components used during various periods to analyze financial results. The review of general trends of corporate development through the assessment of their financial results gives the authors reason to say that positive financial results provide profitable enterprises with a leading role. The authors justified changes in trends in the output/cost ratio, which is marked by the uneven growth of these indicators, thus influencing financial results. 07 30 2019 4838 4841 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3522.078219 https://www.ijrte.org/portfolio-item/B3522078219/ Department of Computer Science, Gujarat University, Ahmedabad, India. Bhumika Shah Dr. Jyoti Pareek Department of Computer Science, Gujarat University, Ahmedabad, India. Sandip Patel Department of Computer Science, Gujarat University, Ahmedabad, India Vivek Patel Department of Computer Science, Gujarat University, Ahmedabad, India. Innovations in information technology resources hae given wings to the development and advancements of new age learning environments. This chapter reviews some of the existing virtual laboratories and proposes a virtual laboratory for Database sytems. The proposed Database virtual laboratory is a complete Learning Management System(LMS), which has been designed after careful consideration of all the necessary parameters for any LMS like the pedagogy of teaching and learning, student engagement, pitfalls, and cognitive levels. The use of our own Database Management System (GU_DB) in the Virtual laboratory has proved significantly advantageous in terms of student and teacher communication. The students rating in a questionnaire after the end of the evaluation phase showed encouraging results. 07 30 2019 5418 5425 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3524.078219 https://www.ijrte.org/portfolio-item/B3524078219/ PhD Scholar University of Petroleum and Energy Studies, Dehradun, Plexus Infratech Private Limited, New Delhi, India. Pratik Ghosh Dr. Ratna Banerjee Assistant Professor (Senior Scale), University of Petroleum and Energy Studies, Dehradun, India. Dr. Vinay Kandpal Assistant Professor, University of Petroleum & Energy Studies, Dehradun, India. Dr. Jacob T. Verghese Chairman, Steag Energy Services India Private Limited, New Delhi, India. The research tries to identify the various factors that need to be integrated to implement a Unified Data Platform (UDP) for the power sector and its interoperations.Data and tools from generation, transmission, distribution and trading were readily available but in silos and we added to it the complexity of interoperability between stakeholders affecting the organizations, applications, information systems, social, economic, regulatory and technical infrastructure. The different data silos were studied to identify the factors which need to be analysed and integrated for these silos to interoperate with each other for attaining operational excellence in a competitive environment.The research was important as the last few decades have seen an organic growth of the power sector in India. This growth inherently bought with it the requirement for humongous enhancement of existing systems, restructuring of the sector, modification of the policies and develop frameworks to handle the scale of future capacities. The integration and interconnection of different stakeholders in the sector has increased the quantum of software, hardware, tools and data by manifold. The unification of data at a higher level will improve the operational efficiencies and reduce the losses at silos level due to lack of data unification. 07 30 2019 5753 5760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3525.078219 https://www.ijrte.org/portfolio-item/B3525078219/ School of Electrical Engineering, Telkom University, Bandung, Indonesia. Muhammad Alhakim Tito Waluyo Purboyo School of Electrical Engineering, Telkom University, Bandung, Indonesia. Casi Setianingsih School of Electrical Engineering, Telkom University, Bandung, Indonesia. Nodular melanoma is a deadly rare type of skin cancer. Nodular Melanoma has characteristics asymmetrical shape, border irregularity, nonhomogeneous or has several color variations and the diameter is more than 6 millimeters. Nodular melanoma has a physical form similar to melanocytic nevi, therefore nodular melanoma can be detected from melanocytic nevi spread throughout the body. This research aims to detect nodular melanoma through melanocytic nevi by utilizing the android system in order to ease the user by using camera smartphone in detecting cancer. This application uses image processing and feature extraction of the ABCD method to process images with decision tree c4.5 classification method to detect potential of nodular melanoma diagnosis from melanocytic nevi image. The ABCD method is a medical method used to detect the possibility of skin cancer using 4 parameters including asymmetrical shape, border irregularity, color and diameter. Decision tree c4.5 is classification method that using entropy and gain to make rules of decision tree. The image data test is obtained from the results of the android-based smartphone camera shooting and from medical record. Output of this application is a diagnosis condition of melanocytic nevi is healthy or nodular melanoma potentially. The accuracy of this application is 97.5%. 07 30 2019 6285 6290 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3526.078219 https://www.ijrte.org/portfolio-item/B3526078219/ Research Scholar, Civil Engineering Department, National Institute of Technology Durgapur, (West Bengal), India. Bejay Kumar Yadav Dr. Showmen Saha Professor, Civil Engineering Department, National Institute of Technology Durgapur, (West Bengal), India. With an objective of saving the environment by providing crumb rubber as an alternative to natural fine aggregate this paper presents a study carried out to find the mechanical properties of rubberized concrete. Rubberized concrete is made up of waste rubber from vehicle tyres and other rubber waste which otherwise is left out polluting the environment. In this paper, 7.5% of crumb rubber (obtained by shredding the vehicle tyres) as an alternative to fine aggregate and 7.5% of fly-ash as an alternative to cement is added with other ingredients of concrete to produce an eco-friendly concrete which can be used economically and effectively for construction along the coastal areas. Various properties like workability, compressive strength, split tensile strength, and flexural strength was carried out on concrete specimens exposed to the natural marine environment along the coast of Visakhapatnam, Andhra Pradesh. The total exposure of concrete specimen was about 150 days, and various specimens were tested at 7, 28, 90, 120 and 150 days, respectively. The test results showed that with a slight compromise in strength, the workability of concrete and resistance to the effect of seawater on the strength of concrete significantly improved with the addition of crumb rubber and fly-ash. 07 30 2019 5761 5765 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3527.078219 https://www.ijrte.org/portfolio-item/B3527078219/ Associate Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, TN, India. V.R. Balaji M. Karpagam Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, TN, India J.Sathiya Priya was earlier working as an Assistant Professor in the Department of Electronics and Communication Engineering. Coimbatore, TN, India One of the important features of Speech processing is speech enhancement. In a noisy environment, speech enhancement plays a vital role. Many research works are being done in speech enhancement methods in recent years but still, it can't be attained. It mainly depends on Speech intelligibility which can improve the speech quality. In this research work, signal representation is considered and the various transforms are applied and compared. The analysis is done with the help of two parameters and the results are compared. Here the enhancement process is focused on using Advanced DCT (ADCT) and Discrete fractional Cosine transform. The ADCT has the advantage of energy compaction and flexible window switching. Iterative Wiener Filtering is used for filtering the coefficients. Pitch Synchronous Analysis (PSA) is combined for finding the exact pitch period. 07 30 2019 4708 4712 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3528.078219 https://www.ijrte.org/portfolio-item/B3528078219/ M.C.A degree from University of Bharadhidasan, Trichy India, K. Vijayalakshmi Dr. M. Vinayakamurthy Professor in School of Computer Science and Applications, REVA Unviersity, Bangalore, Karnataka, India. Dr. Anuradha HOD, PG in a reputed institution, Tamil nadu, India. This paper is a study on the various machine learning algorithms in order to perform ASD (Autism spectrum Disorder) as per the DSM-V standards. ASD occurs more frequently among children and in order to diagnose this with better accuracy, the study on binary firefly algorithm, a swarm intelligence based wrapper feature selection algorithm is used to obtain best results with optimum feature subsets. This paper will provide overall result after applying it to all types of machine learning models on supervised learning. 07 30 2019 6248 6251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3529.078219 https://www.ijrte.org/portfolio-item/B3529078219/ School of Computing Science and Engineering, VIT University, Chennai, India. A. Venkatesh S. Asha School of Computing Science and Engineering, VIT University, Chennai, India. One of the effective communication technology is wireless sensor network technology which helps to monitor the surrounding information by sensed nodes. The effective utilization of sensed nodes is utilized in different applications such as military, health information, environmental monitoring, disaster relief and target analyze. The application requires the collection of information which may be collected from one location and transferred to the other location for making their process so easier. During the information transformation process, the network may affect by several intermediate attack, in which denial of service is one of the serious attack because it affects the entire network resources such as network energy, power, bandwidth. The unavailability of the resources reduces the entire sensor network performance. For managing the attack related issues, in this paper introduces the Energy Efficient Extreme Learning Neural Network (EEELNN) approach for overcoming the attack related issues. Initially the network transmitted zone is computed along with energy, power, bandwidth, neighboring node information and lifetime for eliminating the attack in sensor network. The computed information is processed and trained by extreme learning neural network that successfully predict the attack related data, node and network zone with effective manner that leads to improve the overall network performance. At last system efficiency is evaluated using simulation results such as detection rate, classification accuracy, false alarm rate and detection time. 07 30 2019 5913 5918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3533.078219 https://www.ijrte.org/portfolio-item/B3533078219/ Plekhanov Russian University of Economics, Russia E.F. Nikitskaya V.A. Rusanovskiy Saratov Socioeconomic Institute of Plekhanov Russian University of Economics, Russia M.A. Valishvili Plekhanov Russian University of Economics, Russia A.A. Gretchenko Plekhanov Russian University of Economics, Russia O.G. Demenko Plekhanov Russian University of Economics, Russia The article addresses the issue of the twofold role of territorial agglomeration entities in the spatial development of Russian regions. The authors look at the possibilities of both stimulating and dissimulating effects of expansion of urban agglomerations on the socioeconomic status and innovation development of Russia’s regions, which cause the economic growth on the national level to speed up or slow down. On the one hand, urban agglomerations become “growth poles” that help spread business activity from the centre to the periphery and stimulate the diffusion of innovations. On the other hand, agglomeration trends in spatial development create centripetal economic effects that lead to greater inter- and intraregional socioeconomic disparity. The authors pay special attention to the forming of urban agglomerations as a socioeconomic phenomenon that preconditions economic disparity between territories. This becomes a problem from the viewpoint of state management, as Russia’s federative model of government grants priority to regulative influence in the economic space of regions. As a result, the socioeconomic development gap grows quite large, making national economic and innovation policies less effective in general. Based on the conducted studies, the authors demonstrate that it is necessary to transfer to a balanced combination of interregional cooperation aimed at eradication of regional disparity. 07 30 2019 4851 4859 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3535.078219 https://www.ijrte.org/portfolio-item/B3535078219/ Department of Physics, Mandalay University, Sagaing University, Mandalay, Myanmar. Win Win Aye & Hnin Hnin Aye Chatpet Yossapol & Htay Aung Pyae School of Environmental Engineering, Suranaree University of Technology, Nakhon Ratchasima, Thailand. (Being produced in vast quantity as one of by-product from cassava starch processing chains, cassava pulp has great potential for energy recovery by harnessing biogas through anaerobic digestion (AD). This study aims to enhance biogas production by comparative investigation in batch mode digestion. 5%TS w/v of cassava pulp mixed with mill effluent were pre-treated with 10 molar potassium hydroxide (KOH), sodium hydroxide (NaOH), and calcium hydroxide (Ca(OH)2) solution for 6 hours contact time. Effects of different alkaline pre-treatment on cassava substrate were assessed in total dissolved solid (TDS), soluble chemical oxygen demand (SCOD), Volatile Fatty Acids to Alkalinity ratio (VFA/TA), and reducing sugars. Daily accumulated biogas yield was taken as final indicator of the effect of different pre-treatment. KOH pre-treatment in pH 11 resulted highest dissolved solid 13.07 mg/L, and improved soluble chemical oxygen demand (SCOD) formation up to 75.61% (480,000 mg/L) than control substrate. The experiment revealed peak biogas production by KOH pre-treated substrate was found at day 6 after digestion executed, and achieved 546 ml. The finding proves out of different pre-treatment method applicable to cassava pulp, KOH pre-treatment could realistically increase biogas yield for cassava mills. Biogas production increased up to 101%, 92%, and 70% using KOH, Ca(OH)2 and NaOH respectively. However, when future provision to the technology for AD system and design is concerned, the choice of highly reactive alkali could lead to complication in the system. 07 30 2019 5919 5923 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3538078219 https://www.ijrte.org/portfolio-item/B3538078219/ ECE, University College of Engineering, JNTUK, Kakinada, India T.Balasri Sathakarni Dr.B.Leela Kumari ECE, University College of Engineering, JNTUK, Kakinada, India. Speech Processing is the study of speech signals which carry individual information such as speaker characteristics, acoustic environment, etc due to which the parameters defining the signal are unique. Pitch Period, Duration, Intensity are the parameters that play the main role in coding speech applications such as authentication, surveillance, speaker recognition. As the conventional filters are static in nature, for non-linear and non-stationary variations of signal parameters adaptive filtering models which are robust are required. Hence the tracking and estimation of the parameters can be done by using Particle-Kalman Filter. It is very important that the signal has to track perfectly even in the presence of noise, by removing the noise and thereby enhancing the output. The approach in this paper is to propose a method for enhancing the performance, using multiple window Savitzky-Golay Filter (MWSG Filter). The performance of filter is measured by parameters Viz., SNR and PSNR. 07 30 2019 5426 5428 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3542.078219 https://www.ijrte.org/portfolio-item/B3542078219/ Research Scholar, Department of ECE, JNT University Kakinada, Kakinada, India. K. Vijaya Prasad P. V. V. Kishore Professor, Department of ECE, K L University, KLEF, Guntur, India. O. Srinivasa Rao Professor, Department of CSE, UCEK, JNT University Kakinada, Kakinada, India. The skeletal based human action recognition has its significant applications in the field of human computer interaction and human recognition from surveillance videos. However, the tasks suffers from the major challenges like view variance and noise in the data. These problems are limiting the performance of human action recognition. This paper focuses to solve these problems by adopting sequence based view invariant transform to effectively represent the spatio-temporal information of the skeletal data. The task of human action recognition in this paper is performed in three stages. Firstly, the raw 3D skeletal joint data obtained from the Microsoft Kinect sensor is transformed to eliminate the problem of view variations on a spatio-temporal data by implementing sequence based view invariant transform. In the second stage, the transformed joint locations of the skeletal data will be converted to RGB images by a color coding technique and forms a transformed joint location maps (TJLMs) . As a third stage, the discriminating features were extracted by the novel CNN architecture to performs the human action recognition task by means of class scores. Noticeable amount of recognition scores are achieved. Extensive experiments in four difficult 3D action datasets constantly show our method's superiority. The performance of the proposed method is compared with the other state-of-the-art methods. 07 30 2019 4860 4867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3547.078219 https://www.ijrte.org/portfolio-item/B3547078219/ Department of ECE, G.I.T.A., Bhubaneswar, India K.P. Swain P.S. Das Department of ECE, G.I.T.A., Bhubaneswar, India S.K. Nayak Department of ECE, G.I.T.A., Bhubaneswar, India G. Palai Department of ECE, G.I.T.A. Bhubaneswar, India A vehicular control system operated in VLC spectrum is envisaged in this work which is control by optical monochromatic filters. Overall six numbers of monochromatic optical filters are designed by the help PWE simulation method by considering silicon grating structure (Si and SiO) as background semiconductor material to control the direction of the vehicular system. Further, Matlab Simulink is implemented to realize the different direction with the degree of angular rotation while moving in left and right direction. In the simulation process, Arduino board is used to receive the control signals from the filters through the photo detectors and then according to the program stored in the memory, the outputs are actuated to drive the vehicular system corresponding to each combination of the inputs. 07 30 2019 4508 4512 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3550.078219 https://www.ijrte.org/portfolio-item/B3550078219/ Department of Computer Engineering, Government Engineering College, Rajkot, Gujarat, 360005 India. Dhara Buch Haresh Bhatt Space Application Center, ISRO, Ahmedabad, 380015, India. Growing scope of cloud computing has made cloud security a challenging parameter. Among all the security parameters, virtualization security requires primary focus as it hides internal resource sharing details of the system. Side Channel Attack (SCA) is an attack that exploits the shared resource for extracting the private key of a cryptographic algorithm. Considering the significance of virtualization security, we need to analyze the SCA in a virtualization environment. In this paper, we target the Branch Prediction Analysis (BPA) Attack, one type of SCA. We have carried out an analysis to verify the scope of various BPA attack launching methods in virtualization environment along with the simulation. We have also analyzed the scope of existing solutions handling BPA attack. 07 30 2019 4868 4873 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3553.078219 https://www.ijrte.org/portfolio-item/B3553078219/ Department of E&E, Manipal Institute of Technology, MAHE, Manipal, India. H.V. Gururaja Rao Dr. Nagesh Prabhu Department of E&E, N.M.A.M Institute of Technology, Nitte, India. R.C. Mala Department of E&E, Manipal Institute of Technology, MAHE, Manipal, India. This paper proposes a new wavelet transform based relay logic for the protection of transmission lines compensated with a static synchronous compensator incorporating energy storage device (STATCOM – ES). STATCOM with energy storage systems can operate in any of the four quadrants in P – Q plane. A conventional distance relay with standard settings may not be reliable to identify and categorize short circuit faults in such systems. A simple, fast acting and reliable wavelet based relay logic is presented to accurately identify and categorize transmission line faults in shunt compensated lines. The developed relay discriminates between internal and external faults accurately. It provides reliable protection for the transmission line considering the entire four quadrant operating range of STATCOM – ES and is immune to the value of fault resistance. 07 30 2019 4713 4719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3555.078219 https://www.ijrte.org/portfolio-item/B3555078219/ Mechanical Engineering Department, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-530048, Andhra Pradesh, India B Sridhar Reddy A. B. Koteswara Rao Mechanical Engineering Department, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam-530048, Andhra Pradesh, India G Ranga Janardhana Mechanical Engineering Department, JNTUA College of Engineering, Anantapur-515002, Andhra Pradesh, India In this work, Wirecut Electric Discharge Machining (WEDM) of Al 2124/ SiCp metal matrix composite material is studied to evaluate the influence of input parameters on response characteristics namely, kerf, Material Removal Rate (MMR), Surface Roughness (SR), Recast Layer Thickness (RCT), and Surface Crack Density (SCD). Central composite design, a technique from design of experiments is used to conduct 31 experiments. The input parameters selected for estimation of machinability are pulse on time (Ton), pulse off time (Toff), current (IP), and Servo Voltage (SV). Analysis of variance (ANOVA) is carried out to know the effect of influence parameters on responses. The regression models are developed in Response Surface Methodology (RSM)and are used in soft computing techniques as input equations for optimizing the single and multi-response optimization of response parameters. Desirability approach is used in single and multi-objective optimization of response parameters. Single objective optimization is carried out by RSM, the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Firefly Algorithms (FA). Confirmation experiments are conducted on the adequacy of the mathematical models developed in RSM and it shows good agreement between experimental and predicted values. The variation of predicted responses from different optimization techniques for single objective optimization is found to be less than 1%. From the results it is also observed that for single objective optimization all evolutionary algorithms are found to be suitable for WEDM. 07 30 2019 5429 5434 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3556.078219 https://www.ijrte.org/portfolio-item/B3556078219/ Computer Engineering Department, Islamic University of Gaza, Gaza, Palestine. Mohammed A. Alhanjouri Ahmed Alghoul Computer Engineering Department, Islamic University of Gaza, Gaza, Palestine. Inverse Weighted K-means less sensitive to poor initialization than the traditional K-means algorithm. Therefore, this paper introduce a new hybrid algorithm that integrates inverse weighted k-means algorithm with the optimization bat algorithm, which takes the advantages of both algorithms, from one side the quick convergence and the best global fitness values that obtained from using the bat algorithm and from other side the best clustering results that obtained from inverse weighted k-means algorithm. Moreover, to discuss in deeply the best choices of numerator and denominator powers to get best cluster integrity by getting the best value of cost function by comparing the results of the new algorithm with the inverse weighted k-means algorithm. Improved outcomes were achieved using the new hybrid algorithm. 07 30 2019 5924 5931 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3564.078219 https://www.ijrte.org/portfolio-item/B3564078219/ Tver State University, Tver, Russia Olga Igorevna Pakhomova The article attempts to present a scientifically based system of problems and groups of problems, resolution of which will contribute to the development of corporate structures and the growth of the positive in-fluence of corporate structures on the development of Russian regions. Based on a comprehensive comparative analysis, the main conceptual framework of the development of corporate structures is revealed. Original classification schemes are built, which unite groups of problems of a certain category according to specific features. The importance of the undertaken systematization is shown both for the development of corporate structures and regional economic systems. The discussion demonstrates the logic of problem formation and problem grouping. Suggestions and recommendations are made to resolve some of the most urgent problems. A conclusion is made about the need to develop the methodological foundations of research on the problem field in the sphere of mutual influence of the corporate sector of the economy and regional economic systems. 07 30 2019 4720 4727 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3567.078219 https://www.ijrte.org/portfolio-item/B3567078219/ Department of Electronics and Communication Engineering, Indian Institute of Information Technology Guwahati, Assam, India. Sanya Anees A cascaded radio frequency-underwater wireless optical communication (RF-UWOC) system using an amplify-and-forward relay is considered. UWOC supports high speed communication for underwater surveillance, monitoring of climate change, and different deep-sea mining activities making it a s suitable substitute to underwater acoustic communication. The proposed fixed-gain AF based cascaded radio-optical system can connect underwater with land. The system comprises of Nakagami-m faded radio link and mixture Exponential-Generalized Gamma (EGG) faded UWOC link. Salinity, air bubbles, and thermal fluctuations in water causes underwater optical turbulence (UOT). Optical signals are modulated by subcarrier intensity modulation technique at the relay and heterodyne or direct detection is performed at destination. For this proposed communication system, outage and error analyses are carried out. It is observed that the performance of the considered system deteriorates more because of the underwater optical turbulence (UOT) due to thermal fluctuations and air bubbles as compared to UOT introduced by salinity. 07 30 2019 5573 5577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3571.078219 https://www.ijrte.org/portfolio-item/B3571078219/ Moscow Aviation Institute (National Research University), Moscow, Russia E. Nikulina E. Tarasova Moscow Aviation Institute (National Research University), Moscow, Russia As a rule, large-scale investment projects in high-tech industries are implemented with the participation of the state. The procedure and terms of coordination of the budget financing volumes and forms take a considerable amount of time (sometimes up to two years), and its results, when approved, are not subject to review. During this time, the baseline data on the project undergo changes leading to an increase in its value, thereby increasing the risks of successful project implementation. Thus, the company needs to secure additional financing at its own expense in order to eliminate negative consequences by increasing the project value. This situation can be resolved by using a redundancy mechanism that allows an enterprise to gradually accumulate funds to cover the increasing project costs. The availability of the reserve fund increases the sustainability of the project in terms of the dynamic external environment and leads to the mitigation of risks in its implementation. 07 30 2019 5932 5935 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3574.078219 https://www.ijrte.org/portfolio-item/B3574078219/ Ph.D Scholar, Jawaharlal Nehru technological University, Kakinada, Andhra Pradesh, India. V. Prasanth K. Babulu Professor of ECE, Jawaharlal Nehru technological University/ Kakinada, Andhra Pradesh, India M. Kamaraju Professor, Electronics and communication Engineering Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India. The demand for low power processor is increasing day by day in mobile application for video, audio, mixed signal processing, gaming console and battery-operated electronic devices. Power consumption is the main issue in batter operated devices which constantly reduces battery life. Compared to static power Dynamic power yields more power consumption in digital design. Clock power is one of the major factors in total power consumption which results in high dynamic power consumption. In this paper, a 32-bit MIPS processor is designed to maximize the performance while considering the battery life of the device. Clock gating and data gating method is adopted in this paper and to reduce dynamic power. This design is implemented on 28nm kintex-7 FPGA Board and power is analyzed 07 30 2019 5936 5941 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3575.078219 https://www.ijrte.org/portfolio-item/B3575078219/ ECE, ANU/ International School of technology and sciences (for owmen) / Rajamahendravaram, India. Prasad Rayi M.V.S Prasad ECE, ANU / Rayapati Venkata Rangarao & Jagarlamudi Chandramouli College of Engineering / Guntur , India. Massive Multi-Input and Multi-Output (MIMO) antenna system potentially provides a promising solution to improve energy efficiency (EE) for 5G wireless systems. The aim of this paper is to enhance EE and its limiting factors are explored. The maximum EE of 48 Mbit/Joule was achieved with 15 user terminal (UT)s. This problem is related to the uplink spectral efficiency with upper bound for future wireless networks. The maximal EE is obtained by optimizing a number of base station (BS) antennas, pilot reuse factor, and BSs density. We presented a power consumption model by deriving Shannon capacity calculations with closed-form expressions. The simulation result highlights the EE maximization with optimizing variables of circuit power consumption, hardware impairments, and path-loss exponent. Small cells achieve high EE and saturate to a constant value with BSs density. The MRC scheme achieves maximum EE of 36 Mbit/Joule with 12 UTs. The simulation results show that peak EE is obtained by deploying massive BS antennas, where the interference and pilot contamination are mitigated by coherent processing. The simulation results were implemented by using MATLAB 2018b. 07 30 2019 6527 6534 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3576.078219 https://www.ijrte.org/portfolio-item/B3576078219/ Research Scholar, Department of ECE, Bharath University, Chennai, India. V. V. Vinoth E. Kanniga Professor, Electronics and Communication Engineering Head Electronics & Instrumentation Engineering, Bharath University, Chennai, India. In this era, internet has become a widespread entity all over the world. Sharing and communicating images, video contributes an essential role in this scientific era. In the meanwhile, secure transition of data has indeed become a major issue. Steganography is one of technology that contributes a vital role in protecting the secret data against an unauthorized access. In this type, secret data can be concealed into a cover file that includes audio, video, text and also image. In this paper, we propose different types of steganography methods for secure transfer of data in a confidential manner. The paper also explores stenographical techniques in terms of text, image and audio. The proposed work compares and discusses the stenographical methods in spatial domain, frequency domain derived under the image technique. 07 30 2019 6535 6537 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3578.078219 https://www.ijrte.org/portfolio-item/B3578078219/ M.Tech Scholar from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India. Dharmendra Kumar Poondla C Prashanth Sai Research Scholar from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India. M Vijaya Kumar Professor from Electrical & Electronics Engineering, JNTUA College of Engineering, Ananthapuramu, Andhra Pradesh, India. This paper describes the Model Predictive control (MPC) strategy to control the Torque of the Induction Motor (IM) according to the reference torque provided. IM fed with an Three Level Neutral Point Clamped (NPC) Inverter. MPC paves the way to replace complex Space Vector Modulation (SVM) into a simple understandable algorithm. It uses the discretized model of the IM. Stator current is used as a control variable hence called Model Predictive Current Control (MPCC). MPCC is derived from Field Oriented Control (FOC) Technique. MPCC achieves improved nominal torque compared to FOC, But current harmonics are high rather it’s simplicity encourages it’s usage and further development in MPC strategies for Embedded Drives. By the end of the paper, both FOC and MPCC controls of IM drive were discussed using MATLAB/SIMULINK. 07 30 2019 5578 5583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3579.078219 https://www.ijrte.org/portfolio-item/B3579078219/ Department of Computer Applications, Kongu Arts and Science College, Erode -638107, Tamil Nadu, India. T. Thilagaraj Dr.N. Sengottaiyan Director, Sri Shanmugha College of Engineering and Technology, Sankari - 637304 , Tamil Nadu, India, The different techniques like clustering, classification, association rule and regression are available in data mining to deal with a huge number of datasets that are available in the education field. The main purpose of educational data mining is to extract useful information that will create a good impact on educational institutions. The identification of risk students, improving the graduation rates and placement opportunities will assess the institutional performance. The clustering is one of the famous techniques to deal with noisy and disjoint groups. The clustering technique is used to measure the distance between data objects of a similar group and also it finds the different cluster center in each iteration. The placement creates the opportunity to learn specific skills on their subject or industry and improves their knowledge in various sectors. In this paper, we are going to discuss Fuzzy Possibilistic Product Partition C-Means (FPPPCM) and Modified Fuzzy Possibilistic C-Means Clustering (MFPCM) performance while dealing with the student placement performance details. The improvement of the educational system will depend on reducing the low performing students rate. The main aim of this paper to pick the low performers by using FPPPCM and MFPCM algorithms. This will helps academia to identify the low performers and provide proper training to them in an early stage. And also the efficiency of FPPPCM and MFPCM is going to analyze with different parameters. 07 30 2019 5942 5946 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3580.078219 https://www.ijrte.org/portfolio-item/B3580078219/ Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. Amar Buchade Rajesh Ingle Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India. The cloud computing paradigm is being used because there is no need to setup additional IT infrastructure such as hardware and software, its low up-front cost. Security and privacy of data is important in day to today life especially for applications that uses cloud computing such as social media. Customer information that is stored at Cloud is crucial that needs to be protected against potential intruders. There is threat to maintain the data in transit and data at cloud due to different possible attacks. Due to this there is growing need of privacy and security of data. In this paper, the privacy and issues, privacy preservation techniques are addressed. In addition to this, in order to protect the data, the secret sharing algorithm is implemented and analyzed. The shamir’s secret sharing (k,n) algorithm is used to split the data into n partial shares which can be distributed in cloud. The user collects at least k partial shares to reconstruct the complete data. It is observed that if the file size is increased, the data recovery time is also increased. The paper concludes with privacy preservation guidelines. 07 30 2019 6544 6548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3582.078219 https://www.ijrte.org/portfolio-item/B3582078219/ CSE Department, GITAM Institute of Technology, GITAM University, Visakhapatnam.Computer Department, Pimpri Chinchwad College of Engineering, Pune, India. Reena Kharat P.Sanyasi Naidu CSE Department, GITAM Institute Of Technology, GITAM University, Visakhapatnam Voting is vital part of democratic country as it allows citizen to choose their own government. Government plays important role in progress of each country. Result of election is good if most of the people votes. In today's digital world, it is necessary to have secure online voting system at place which will save voter's time and motivate citizen to vote. Secure authentication is the main issue in online voting system. The authentication module should allow authentic voter to cast their vote. Even though secure authentication is provided, someone having access to authentication database may use it to get authentic entry into the system. Research in this paper shows new and secure authentication module which provides confidentiality to authentication database so that no one can use the authentication database to pass through the system. We have achieved this using PIN based image secret sharing. 07 30 2019 5947 5953 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3585.078219 https://www.ijrte.org/portfolio-item/B3585078219/ Assistant Professor, Department of Mechanical Engineering, Nitte Meenakshi Institute of Technology, Bangalore, India. Puneeth Kumar MV Metal-Matrix Composites (MMCs) are novel composite materials in which nano/micro-phase such as particles or rods like structured materials are reinforced with metals or alloys to improve the physical, mechanical, wear and other properties. The results of previous works have shown that the addition of B4C reinforcement to aluminium alloys has improved the hardness, tensile strength and Young’s modulus. Hence, the present work is focused on development and characterization of B4C reinforced MMCs. evaluating the outcome of the reinforcement on the physical properties such as wear property studies were carried out. The wear results exhibited reduction in wear volume compared to the unreinforced alloy samples and the coefficient of friction is beneath at lofty loads. 07 30 2019 6291 6295 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3586.078219 https://www.ijrte.org/portfolio-item/B3586078219/ Asst. Professor and Research Scholar, Department Of CSE, koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur, India P.Venkateswara rao Dr. Mohammed Ali Hussain Professor , ECSE, koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur , India. Parallel processing will change the world of computation. Now a day’s parallel processing will take leading role in all processing that are aided with computer system. Skyline query processing is not exceptional. Skyline processing with MapReduce will take lead role in skyline computation. Still Skyline processing with MapReduce do not take full advantage of parallelism due to processing of including unnecessary data. This paper contains our proposed Map Reduce - Pre and Post Filter based Skyline Computation (MR-PPFS). The aim of this model is to reduce number of candidates before sending dataset to MapReduced skyline computation. This idea reduces MapReduced skyline computation time compare to other algorithms. 07 30 2019 5954 5959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3587.078219 https://www.ijrte.org/portfolio-item/B3587078219/ Assistant Professor, Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Raipur, (C.G.), India. Md. Khaja Mohiddin V. B. S. Srilatha Indira Dutt Associate Professor, Department of Electronics and Communication Engineering, GITAM Institute of Technology, GITAM, Visakhapatnam, (Andhra Pradesh), India. In this paper, the implementation of Mobile Error Probability algorithm has been implemented to improve the output efficiency of the sensor nodes in the wireless network environment. According the WSNs is concerned, it’s very important to focus on residual energy of each node. The Mobile Error Probability algorithm support to this very strongly, it ultimately calculates the residual energy corresponding to the consumed energy by the node at each level of the beaconing. This is only applicable for the mobile node depending upon the distance between the nodes. If the distance exceeds the set limit, then only the node sends the beaconing signal else it will be in idle state. Besides, the above concept, the method of RWS is also been implemented to estimate the routing path which can be used for the transmission in minimum stipulated of time. Scheduling algorithm has been used for proper cycling of the node in various modes such as active, idle, sleep and dead conditions. All the above algorithms are been implemented in EQSR, ED as well as proposed model using NS-II simulation through results are also been examined. 07 30 2019 6296 6303 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3588.078219 https://www.ijrte.org/portfolio-item/B3588078219/ CSE Department, GITAM Institute Of Technology, GITAM University, Visakhapatnam Reena Kharat P.Sanyasi Naidu CSE Department, GITAM Institute Of Technology, GITAM University, Visakhapatnam Shital Chattar Computer Department, Pimpri Chinchwad College of Engineering, Pune, India. Voting is a mandatory application in any democratic country for decision making. The E-voting gives the promise or confidence of giving or delivering a convenient, straight forward and economical results. E-Voting system used many cryptographic methods to reduce the security problems in the election process. Voting is one of the essential activity which is used in various applications from student’s secretory elections, reality television shows, to national elections. With the goal of better efficiency, scalability, speed and lower cost, voting is currently changed from paper based to the use of electronic medium. This is targeted to meet better security, such that voting result gives true opinion of the voters. As of late in cryptography a few changes enable us to run troublesome calculations inside the encoded area. In democratic countries like India, Instant Runoff voting method is used in election of the President of India. In IRV, voter can vote by ranking the candidates in order of preference. To protect voter’s privacy, encryption is mostly used to ensure security in open network such as the internet. The cryptosystem based on Elliptic curve cryptography (ECC) is becoming the latest technology of public key cryptography. In proposed E-voting system, voter’s confidentiality is maintained by ECC, blind signature is used for ballot anonymity and authentication. This proposed scheme will effectively ensure confidentiality, anonymity and integrity of ballot in instant runoff voting method. 07 30 2019 6311 6316 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B35906.078219 https://www.ijrte.org/portfolio-item/B3590078219/ Research Scholar, Department of Computer Science , Pondicherry University , Pondicherry,India. Satyasangram Sahoo Prem Kumar Borugadda Research Scholar, Department of Computer Science , Pondicherry University , Pondicherry,India.. Dr R Lakshmi Assistant Professor, Dept. of Computer Science , Pondicherry university , Pondicherry ,India. The multi-input with mixed data modality of the model is based on three folded structure. The first input model is structured by Convolution Network that accepts the images related to the house. The implementation of the network is miniVGGNet design. The network is tested among, which gives a better outcome. The output valued is concatenated eventually with numerical value entry of the same set which is trained and processed by multi-layer perceptron for review the house price of the building. The linear activation is helped to evaluate the predicted value of price after equal dimension merging of convolutional and multi-layer perceptron network. 07 30 2019 6317 6320 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3597.078219 https://www.ijrte.org/portfolio-item/B3597078219/ Department of Mechanical Engineering, Channabasaveshwara institute of Technology, Gubbi, Karnataka, India Nagesh S.B Chandrashekhar T.K Department of Mechanical Engineering, Mangalore institute of technology, mudibidri-574227, Karnataka, India Banapurmath N.R Department of Mechanical Engineering, B.V.B. College of Engineering and Technology, Hubli, Karnataka, India Acid oil for the present take a gander at was acquired from Karnataka district, sunflower non-open limited and Agro Tech individual controlled, an adjacent vegetable oil refining gadgets which produce around 450 metric huge amounts of Acid oil in venture with a year. Corrosive oil that is a subordinate of vegetable petroleum processing plant tasks is a plausible source as its far shabby and without trouble accessible in broad amounts as an unutilized result. Acid oil because of its oxygenated nature and chain kind setup, it has gas homes that are stand-out than diesel gas. Warming qualities are scarcely lower while the thickness and start esteem are higher than diesel fuel. On the off chance that the thickness of Acid oil is diminished and carried nearer to diesel fuel, it might also be utilized as elective diesel fuel. Since the regular transesterification way does never again create an ideal final product, a fresh out of the box new type of "ED3R" esterification framework progressed on the establishment is contracted, wherein ED alludes to Extractive Distillation and 3R alludes to Rectification, Refluxing and Reusing. 07 30 2019 4065 4069 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3600.078219 https://www.ijrte.org/portfolio-item/B3600078219/ Mechanical department, Gates Institute of Technology, Gooty. Anantapur, Andhra Pradesh, India Mansoor. P B. W. Sandeepkumar Assistant professor SKU College of Engineering &Technology, Anantapur, Andhrapradesh. Afsar Hussain. G Mechanical department, Reva University, Bangalore, Karnataka, India The fiber reinforced polymer composites are the most used accepted materials; they are useful in the present days as an alternative to the metals. Because of their low cost and high specific strength, low weight and less concerned to the environment, they became more attracted globally. The natural fibers such as Agave Americana with Silk fiber hybrid composites are used in the proportion of 1:1 has been incorporated with unsaturated polyester resin. The effect of fiber at (0, 15, 25, 35 and 45 wt. %) samples are studied. In the project work a hand lay-up method were utilized for preparing the composites. Agave Americana are treat with NaOH fallowed by Hcl acid. And the consequences of alkali behavior on the tensile and compressive properties are going to be studied. Major development of tensile and compressive strengths of the Agave/silk hybrid composites have been observed for various treatments. 07 30 2019 4513 4516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3604.078219 https://www.ijrte.org/portfolio-item/B3604078219/ Department of Technology & Proses, Kolej Kemahiran Tinggi MARA Kuantan, Kuantan, Pahang, Malaysia. Farizan Md Nor Fairul Azni Jafar Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. Chee Kai Sin Hewlett Packard, 1A Depot CI, Singapore 109842. Mohd Hadzley Abu Bakar Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia. Ahamad Zaki Mohamed Noor System Engineering and Energy Lab, Universiti Kuala Lumpur – Malaysia Spanish Institute, Kulim Hi-tech Park, Kulim, Kedah, Malaysia. To promote sustainable manufacturing process, the use of coolant during machining should be controlled in order to reduce environmental pollution and health problems. Furthermore, the amount of coolant used in the conventional flooded technique is quite huge that caused an increment in production cost. It is believe that the amount of the coolant supply during machining process need to be reduced and controlled in order to solve the problems. The aim of this study is to investigate the effectiveness and the performance of a proposed automated coolant supply system with the use of PLC to control the amount of coolant supply through timing control in order to minimize the use of cutting fluid. The performance of the automated coolant system has been assessed based on surface roughness when machining Aluminium alloy and the results are compared to the one with conventional flooded coolant system. The experimental evidences show that surface roughness for 5 second on-off coolant supply is higher than conventional flooded cooling technique while the surface roughness for 10 second to 20 second on-off coolant supply is largely improved and much better than conventional flooded cooling technique. However, the roughness results for 25 second on-off coolant supply is slightly worse than 20 second on-off coolant supply but it still better than conventional flooded cooling technique. The results of this research work indicated that automated coolant supply system can replace the conventional flooded cooling technique in machining operation without any significant negative effect on the surface roughness result. 07 30 2019 5960 5964 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3607.078219 https://www.ijrte.org/portfolio-item/B3607078219/ Research Scholar, Acharya Nagarjuna University, Guntur, India. Anjanadevi B Dr. S Nagakishore Bhavanam Assistant Professor, Dept. of ECE, Acharya Nagarjuna University, Guntur, India. Dr. E Srinivasa Reddy Professor, Deparment of CSE, Acharya Nagarjuna University, Guntur, India. In current era, deep convolution neural networks (DCNNs) have good break-through in processing images while reducing computational cost and increasing accuracy. Proposed approach focuses on object detection using classification with DCNN model. This model uses feature map for pre-processing the images and convolution layers helps to minimize the processing using deep learning perceptron’s. After that the proposed approach uses Light – Weight Deep Convolution Neural Network(LW_DCNN) Model which includes less number of convolution layers, Max Pooling layers with relevant parameters and Dense, flatten layers to train the data using Leaky ReLU function for improving accuracy. The proposed methodology LW_DCNN is highly efficient compared to traditional classification techniques and presenting simple and powerful model for object detection in Video Surveillance Systems. This model also tested on GPU systems and proved efficiency in less computational time. Obtained Results are clearly shows that model is more efficient in classifying the objects intern classifying the working condition of the overhead power polls insulators in real time video frame sequences. 07 30 2019 5965 5968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3608.078219 https://www.ijrte.org/portfolio-item/B3608078219/ Department of Computer Science, Periyar University PG Extension centre, Dharmapuri. Tamil Nadu, India. N. Revathi P. Sengottuvelan Department of Computer Science, Periyar University PG Extension centre, Dharmapuri. Tamil Nadu, India. Agriculture needs agriculturists to adopt digital in terms of low cost data acquisition from Soil, Weather and water related resources through drones, satellites, sensors and weather stations where in data sources are different, unstructured, volume and veracity of data generated is also huge which poses as a big data problem to solved. Agriculture is the backbone of India and being the largest paddy producer in the world. TamilNadu alone contributes at 7% of the overall paddy cultivation. The key aspect of TamilNadu paddy cultivation is 90% of its farmers belong to the small and medium size category. It's important for farmers who are producing paddy to be equipped with the technology advancements in a simple and effective manner to manage better way of irrigation in terms of water management, improving yield and efficient use of fertilizer and pesticides. Due to inherent nature of large area involved and complex eco system involved paddy cultivation have been always posing challenges in new technology adoption in terms of data acquisition, processing and reporting and lacks easy to follow contextual framework technologists to adopt. This paper would discuss on the infrastructure, technology and big data aspects for paddy cultivation by qualitative research methods. The research would involve identification of the appropriate contextual framework through architectural means and algorithm which would help in sensor deployment strategy. At the end the paper would develop a framework for approaching the IoT and Big Data in paddy cultivation. The framework would outline the architecture components, protocols, communication interfaces which could be leveraged for paddy cultivation. Apart from this the framework also discusses the Wireless sensor network deployment and its key aspect such as coverage in the paddy fields. 07 30 2019 6341 6348 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3611.078219 https://www.ijrte.org/portfolio-item/B3611078219/ Dept. of Business Management, SR Engineering College Warangal, TELANGANA Dr. N. Suman Kumar Dr. Sridhar Condoor Dept. of Aerospace & Mechanical Engineering Saint Louis University, USA Dr. Raja Shekar P V Center for Creative Cognition, SR Engineering College, Warangal, TELANGANA To encourage entrepreneurship, schools and colleges are promoting activities and curricular innovations. Make 'n' Market is one such effort to engage and transform the mindset of the student community. It differs from other entrepreneurship events in its nature as it is not a competition or a workshop or a camp. It is not an idea or business plan generator. It is a celebration of peoples’ entrepreneurial skills requiring participants to conceive and market products thereby promoting making and marketing skills to bridge the gap between engineering and business disciplines. The paper describes the event, provides details of its implementation, documents the profile of participants and showcases the learning outcomes. The event has a transformative effect on the regional entrepreneurial eco-system in the long run. 07 30 2019 5584 5588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3612.078219 https://www.ijrte.org/portfolio-item/B3612078219/ Russian State Social University, 4/1, Wilhelm Pieck Street, Moscow, 129226, Russia Tatyana Vladimirovna Fomicheva Valentina Ivanovna Kataeva Russian State Social University, 4/1, Wilhelm Pieck Street, Moscow, 129226, Russia Julia Olegovna Sulyagina Russian State Social University, 4/1, Wilhelm Pieck Street, Moscow, 129226, Russia Tatyana Anatolyevna Evstratova Russian State Social University, 4/1, Wilhelm Pieck Street, Moscow, 129226, Russia Maksim Georgievich Chardymskiy Russian State Social University, 4/1, Wilhelm Pieck Street, Moscow, 129226, Russia The article deals with the review of digitalization trends and the subsequent possible transformation of the value consciousness of Russians. The authors analyze the process and probable consequences of the implementation of the programs "Digital economy of the Russian Federation" and "National security strategy of the Russian Federation until 2020". Replacing traditional socio-cultural and moral values of Russians with instinctive ones is what can happen as a result of active digitalization in the most negative development of events. The article focuses on the fact of the formation of new digital (information) values of Russian society in the context of traditional cultural values. The authors note the fact of the modeling of a number of up-to-date values of modern Russian society. The article deals with innovations and social consequences of digitalization for the population of Russia, as well as the digital technologies implementation dynamics in the life of Russian social medium. The main problems associated with the inclusion of digitalization in everyday life of Russians are designated. 07 30 2019 4728 4731 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3613.078219 https://www.ijrte.org/portfolio-item/B3613078219/ Research Scholar in the Department of Information Technology, Gauhati University. Utpal Barman Dr. Ridip Dev Choudhury Assistant Professor in the Department of Computer Science, IDOL, Gauhati University. Automatic detection of citrus leaves disease is very much essential for the better productivity of citrus. Citrus leaves are affected by bacteria, fungus and virus respectively. Farmer detects the diseases of the plant using laboratory, naked eyes or using expert’s view. The rural farmers often face difficulties to detect these diseases due to the non availability of the laboratories in their area. Here in this paper, a computer automation system is proposed to detect the diseases of citrus leaves on an early stage. Citrus leaves images are captured using Smartphone. Captured images are used to extract the different features of the citrus leaves samples using Gray Level Co-occurrence Matrix. Finally, citrus greening and citrus CTV images are classified from citrus healthy images using Gaussian kernel based support vector machine. Accuracy of the kernel is evaluated for the different values of Gamma parameter of kernel. The Gaussian kernel gives maximum accuracy (95.5%) with Gamma value 1. 07 30 2019 4220 4226 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3615.078219 https://www.ijrte.org/portfolio-item/B3615078219/