-449210151823c775641-7e21 20220728073558031 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2019 8 12 Assistant Professor, Department of MCA, The National Institute of Engineering, Mysore, India. Sanjay Kumar C K* Dr. H D Phaneendra Professor and Head, Department of CS & E, The National Institute of Engineering, Mysore, India. Automated brain tumor identification and classification is still an open problem for research in the medical image processing domain. Brain tumor is a bunch of unwanted cells that develop in the brain. This growth of a tumor takes up space within skull and affects the normal functioning of brain. Automated segmentation and detection of brain tumors are important in MRI scan analysis as it provides information about neural architecture of brain and also about abnormal tissues that are extremely necessary to identify appropriate surgical plan. Automating this process is a challenging task as tumor tissues show high diversity in appearance with different patients and also in many cases they tend to appear very similar to the normal tissues. Effective extraction of features that represent the tumor in brain image is the key for better classification. In this paper, we propose a hybrid feature extraction process. In this process, we combine the local and global features of the brain MRI using first by Discrete Wavelet Transformation and then using texture based statistical features by computing Gray Level Co-occurrence Matrix. The extracted combined features are used to construct decision tree for classification of brain tumors in to benign or malignant class. 10 30 2019 3072 3077 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C4659.1081219 https://www.ijitee.org/portfolio-item/C4659098319/ Dept. of Computer Science and Engineering, Birla Institute of Technology Mesra, Patna, India. Sheel Shalini* Kanhaiya Lal Dept. of Computer Science and Engineering, Birla Institute of Technology Mesra, Patna, India. In retail business, customers’ behavior analytics is a study of customers’ buying behavior for a better understanding of customer needs to be able to provide service accordingly. The buying behavior is majorly influenced by the preferences of a customer. However, preferences of a customer change over a period of time due to various factors like change in income, taste, culture or newer products, etc. Understanding these changes in customer behavior is a very challenging task especially in a dynamic, ever-changing environment. There are various customer behavior mining models and techniques available in the data mining domain that are designed to work on static and dynamic databases. The traditional incremental mining techniques consider all the previous datasets in order to update the patterns. However, in a dynamic database, the size of the database grows with every update. To mine customers’ behavior in a time-variant database, the re-mining of the updated database is required that further increases processing cost in terms of execution time and memory space with every update. The purpose of this paper is to propose a method that can analyze the changes in customers’ behavior in time-variant databases without mining all the transactions. In this paper, an optimized incremental technique is proposed that utilizes temporal association rule mining in a time-variant database for mining customer behavioral patterns in an updated database. The proposed algorithm named ‘Autoregressive Moving Average model-based Incremental Temporal Association Rules Mining (ARMA-ITARM)’ utilizes the ARMA model to substantially reduce the database and maintains temporal frequent patterns in the updated database. Inspired by sliding window and pre-large concepts, the algorithm utilizes past frequent itemsets and probable frequent itemsets from customers’ purchased history along with frequent itemsets and probable frequent itemsets that reduce search space. Consequently, the entire database is scanned only once to count the frequency of occurrence of a few candidate itemsets. In effect, execution time memory need of the algorithm is very small. Experimental results demonstrate that our proposed technique performs better over recent techniques like ITARM, SWF, etc. 10 30 2019 5853 5861 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2482.1081219 https://www.ijitee.org/portfolio-item/L24821081219/ Research Scholar Jamal Mohamed College,Department of computer science,Trichy. M. A Jamal Mohamed Yaseen Zubeir.* A.R. Mohamed Shanavas Associate Professor, Department of computer science,Jamal Mohamed College,Trichy The effect of social network in anti-discrimination has been analyzed in detail.Various approaches towards anti-discrimination on transactional data have been identified, but does not produced expected performance level. To improve the performance, a feature correlation measure based approach has been presented in this article. The method reads the transactional data set and generates number of patterns based on the purchase details. For each pattern generated, the method estimate pattern impact measure towards the data set. Based on the value of PIM (Pattern Impact Measure), a subset of patterns is selected. With the selected pattern set, the method reads the social network user data and identifies the list of items being discussed. According to identified items, the method estimates the feature correlation measure (FCM) for each items identified. According to the value of FCM, a subset of items with higher value has been selected. The selected items are identified as more sensitive and being sanitized with the publishing data set. The sanitization is performed using probabilistic sanitization algorithm. The FCM algorithm has leverage the discrimination prevention and sanitization performance. 10 30 2019 5824 5828 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2598.1081219 https://www.ijitee.org/portfolio-item/L25981081219/ ME Scholar, Department of Mechanical Engineering, NITTTR Chandigarh, India. Sukhdev Gangwar* Dr. P Sudhakar Rao Assistant Professor Department of Mechanical Engineering, NITTTR Chandigarh, India In any manufacturing industry cost and productivity are the major concerns to be taken care. There are several factors which can be used to control these factors and while it comes to machining tool wear plays a major role in deciding the productivity and cost of the machining process. Recently many studies have been done on the different alloys of titanium and it is found to be very useful and difficult to machine material as well. In this work turning of one of the titanium alloys is used to study the tool wear behavior during dry and minimum quantity lubrication (MQL) machining conditions. In the current work tungsten carbide (WC) insert is used for machining process. After the machining Taguchi’s analysis is used to analyze the results obtained after the machining. In this work spindle speed, feed, and depth of cut are taken as the input parameters along with the machining condition. From the results it is found that MQL provides the better results to minimize the tool wear. 10 30 2019 4768 4771 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3675.1081219 https://www.ijitee.org/portfolio-item/L36751081219/ School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamil Nadu, India. Vijaykumar Selvam* Dr. M. Balamurugan School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamil Nadu, India. Sethupathi Venugopal Mersicher Supply Chain Private Limited, Madurai, India Nancy A School of Computer Science, Engineering and Applications, Bharathidasan University, Trichy, Tamil Nadu, India. Aishwarya A Sixth Sense Research and Development Foundation, Tamil Nadu, India. The demands of modern science and data driven era is today challenging the computing field from numerus perspective. As a result, today computer architecture and supporting components are getting rapid transformations and upgradations along with the improved and diversified Computing solution. This Unique sense research initiative is most challenging attempt to standardize Smart Computing Technology findings for future computing demands from careful investigation of emerging demands and smart utilization of resources. This research initiative “Unique sense” is the comprehensive construction of Smart computing model for providing solution for the emerging demands from various fields. As a part of this research focuses on one such primitive objective to deliver the provisioning for handling and processing the bigdata and more emerging demands on data handling. Project name “smart computing prototype 4” is the part of Unique sense and the continuity of previous prototype 1, 2 and 3. It is an advanced version of previous deployment. This work consists of Stack of technologies and techniques wrapped together for the bigdata provision on Broadcom BCM2837B0 chip, Cortex-A53 (ARMv8) 64-bit SoC with maximum clock speed 1.4GHz and evaluated its capability. 10 30 2019 4772 4776 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3678.1081219 https://www.ijitee.org/portfolio-item/L36781081219/ PhD Scholar, Department of Journalism & Mass Communication, Manipal University Jaipur, Jaipur. 303007, Rajasthan, India. Mohd Aleem Khan* Dr. Subhash Kumar Associate Professor, Department of Journalism & Mass Communication, Manipal University Jaipur, Jaipur. (303007), Rajasthan, India. This paper investigated the peoples of Indian origin who are migrated or settled in different countries and contributing immensely in various aspects of life throughout the world. Their contributions have been recognized by different mediums of communication. One of the most popular and widely accessed medium Google has played a very important role in this regard. The well-known animated feature ‘Doodle’ of Google has been a recurring phenomenon on the front page of the search engine since 1998. It has celebrated the contribution of famous individuals and cultural events at global platform. The present study deals with the portrayal of Indian migrants by Google Doodles and analyses the news coverage of Doodles by digital news media. The findings of the paper show that the doodles represent the contribution of Indian migrants through its animated feature ‘Doodle’ and got a good amount of press coverage globally. Since 1998 to 2018 total 46 Indians and 16 People of Indian origin got homage by Google. Through the analysis of the news portals we have concluded that BBC.com is the only news portal that has never published any story related to Doodle but the news portal of Indian Express has given the maximum coverage for Google doodle. Thus, Google doodle has become a vital source of information and honorary tool for referencing contributions of individuals in the present society. It is also an established fact that the global reach of doodle is a significant aspect for the growing importance of doodles. Some of the doodles like Amrita Shergil, Chandrashekhar Subhramanyan, M.F Hussain, Hargovind Khurana, Abdul Sattar Edhi, Fazlur Rehman have reached around 8 to 28 countries Google’s home page. The present study has surprised to find that Doodles which are shown in India’s Google home page or visa versa, were not displayed in neighbouring countries. 10 30 2019 4777 4784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3681.1081219 https://www.ijitee.org/portfolio-item/L36811081219/ Information Technology, College of Information Technology, University of Babylon, Babil, Iraq Dr. Alharith A. Abdullah* Dr. Suadad S. Mahdi College of Information Technology, University of Babylon, Babil, Quantum Key Distribution (QKD) has been developed over the last decade; QKD addresses the challenge of a securely exchanging cryptographic key between two parties over an insecure channel where there are two parties that simultaneously generate and share a secret key using the polarization of quantum states of light by applying the phenomena of quantum physics. The integration of QKD protocol with public key cryptography for securely exchanging the encryption/decryption keys is proposed and simulated, the simulation results evaluate the work of the existing and proposed protocol taking into account different measures. Finally, a short security analysis is given to show the difference between the proposed protocol and its counterparts. 10 30 2019 4786 4791 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3682.1081219 https://www.ijitee.org/portfolio-item/L36821081219/ Shatt Al_Arab University College Iraq-Basrah Abdulhusein Latef Khudhair* Smart systems are the one of the most significant inventions of our times. These systems rely on powerful information mining techniques to achieve intelligence in decision making. Frequent item set mining (FIM), has become one of the most significant research area of data mining. The information present in databases is in-general ambiguous and uncertain. In such databases, one should think of weighted FIM to discover item sets which are significant from end user’s perspective. Be that as it may, with introduction of weight-factor for FIM makes the weighted continuous item sets may not fulfil the descending conclusion property anymore. Subsequently, the pursuit space of successive item set can't be limited by descending conclusion property which prompts a poor time effectiveness. In this paper, we introduce two properties for FIM, first one is, weight judgment downward closure property (WD-FIM), it is for weighted FIM and the second one is existence property for its subsets. In view of above two properties, the WD-FIM calculation is proposed to limit the looking through space of the weighted regular item sets and improve the time effectiveness. In addition, the culmination and time productivity of WD-FIM calculation are examined hypothetically. At last, the exhibition of the proposed WD-FIM calculation is confirmed on both engineered and genuine data sets. 10 30 2019 4792 4796 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3683.1081219 https://www.ijitee.org/portfolio-item/L36831081219/ Department of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad, India. Ashlin Deepa R N* Rajeswara Rao R Department of Computer Science and Engineering, JNTUK University College of Engineering, Vizianagaram Andra Pradesh, India. Offline handwritten character recognition system has been a challenge for Indian scripts, especially for South Indian languages. Huge number of characters of local languages including alphabets, consonants and composite characters make the recognition system more complicated. A good recognition system for subset of Tamil script, a famous South Indian script, is proposed in this work. Variable length feature vector is extracted from the thinned character image. This extracted feature is given to a novel simple classification algorithm which works based on probability. A subset of Tamil script, 20 character classes, is considered for experiment. The samples were taken from HP Labs dataset for Tamil language and a recognition accuracy of 88.15% has been produced. 10 30 2019 4797 4801 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3685.1081219 https://www.ijitee.org/portfolio-item/L36851081219/ School of civil Engineering, SASTRA Deemed University, Thanjavur, India. Vishweshwaran M* Anandha Kumar S School of civil Engineering, SASTRA Deemed University, Thanjavur, India. It is not simple to determine in-situ horizontal stresses even though vertical stresses could be determined directly. Pressuremeter is not given high importance even though it is useful in illustrating various geotechnical parameters effectively. It is important to characterize geomaterials which in turn helps us to understand the properties and behavior of the materials. Symbolic Regression model has been prepared to relate pressuremeter test results with geotechnical engineering properties. Understandingthese properties help geotechnical engineers in design and analyses of foundations, earth pressures, etc. 10 30 2019 4802 4806 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3686.1081219 https://www.ijitee.org/portfolio-item/L36861081219/ Associate Professor, Dr. B R Ambedkar Institute of Management and Technology, Baghlingampally, Hyderabad, Telangana, India. Vasanthi Donthi* Promotion is a key element in putting across the benefits of your product or service to thecustomers. Well-designed marketing and promotional strategies ensure long-term success, bring in more customers and ensure profitability for businesses. The study is conducted to identify the most effective promotional offers of Maruti Suzuki and to evaluate the affect of promotional offers on purchasing decision of Maruti Suzuki customers. The study is based on AIDA model and the primary data is collected through a questionnaire from the sample population of 81 people chosen by random sampling method. Thedata collected is analyzed using pie charts, percentage bar graphs and chi-square. According to the study most of the respondents agree that effective advertisementsinfluence their purchase decision and their attitude towards a brand.Every promotionalstrategy whether it is an advertisement, discount offer or hoardings usually aims for theincrease in sales and profitability of the organization. Promotion is a key element in puttingacross the benefits of your product or service to the customers. Well-designed marketing andpromotional strategies ensure long-term success; bring in more customers and ensureprofitability for businesses. This proposed research is to identify the most effective promotional offers of Maruti Suzuki and to evaluate the effect of promotional offers on purchasing decision of Maruti Suzuki customers. Promotional strategies and marketing go hand in hand. Well-designedmarketing and promotional strategies ensure long-term success, bring in more customersand ensure profitability for businesses. Without marketing promotions, your brand or servicewould not be able to garner the attention of the pre-occupied customers. 10 30 2019 4807 4813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3688.1081219 https://www.ijitee.org/portfolio-item/L36881081219/ Assistant Professor, Department of Mechanical Engineering, Sathyabama institute of Science and Technology, Chennai, India. Siva. R* Prabakaran. M Student, Department of Mechanical Engineering, Sathyabama institute of Science and Technology, Chennai, India. Rishikesh. S Student, Department of Mechanical Engineering, Sathyabama institute of Science and Technology, Chennai, India. Santhosh Kumar.A Student, Department of Mechanical Engineering, Sathyabama institute of Science and Technology, Chennai, India. Periya Sakthivel.R Student, Department of Mechanical Engineering, Sathyabama institute of Science and Technology, Chennai, India. In this aggressive global the manufactures need to deliver their product in a shorter term. To fulfill the customers, the manufacture must reduce the unnecessary process time and the errors. In this paper, the clutch operating lever production line in an automobile industry was analysed. The bottleneck operation was found in a fixture design and during the inspection process. A new fixture and an inspection gauge are designed to reduce the setup and inspection time the clutch production. The overall loading and set up change over time is reduced by the newly designed fixture which reduces the end-line defects and saves time and effort. The productivity is highly increased by 55% by the newly designed fixture and the inspection rate is boosted by 80% and the rejection rate is reduced by 83% which is proven by the comparison to older methods. 10 30 2019 4814 4808 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3691.1081219 https://www.ijitee.org/portfolio-item/L36911081219/ Dept.of ECE ,GITAM(deemed to be university),Visakhapatnam,Andhra Pradesh,India S.Saradha Rani* G.Sasibhushana Rao Dept.of ECE, AU College of Engineering(A),AU,Visakhapatnam, Andhra Pradesh, India. B.Prabhakara Rao Dept.of ECE,JNT University, Kakinada, Andhra Pradesh,India. Image compression which is a subset of data compression plays a crucial task in medical field. The medical images like CT, MRI, PET scan and X-Ray imagery which is a huge data, should be compressed to facilitate storage capacity without losing its details to diagnose the patient correctly. Now a days artificial neural network is being widely researched in the field of image processing. This paper examines the performance of a feed forward artificial neural network with learning algorithm as conjugate gradient. Various update parameters are considered in conjugate gradient methodology. This work performs a comparison between Conjugate gradient technique and Gradient Descent algorithm. MSE and PSNR are used as quality metrics. The investigation is carried on CT scan of lower abdomen medical image. 10 30 2019 5291 5296 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3692.1081219 https://www.ijitee.org/portfolio-item/L36921081219/ Department of Information Technology, Ramkrishna Mahavidyalaya, Kailashahar, India Ranjit Biswas* Sudipta Roy Department of Computer Science & Engineering, Assam University, Silchar, India. Abhijit Biswas Department of Computer Science & Engineering, Assam University, Silchar, India. Computer-aided diagnosis system plays an important role in diagnosis and detection of breast cancer. In computer-aided diagnosis, feature extraction is one of the important steps. In this paper, we have proposed a method based on curvelet transform to classify mammogram images as normal -abnormal, benign and malignant. The feature vector is computed from the approximation coefficients. Directional energy is also calculated for all sub-bands. To select the efficient feature we used t-test and f-test methods. The selected feature is applied to Artificial Neural Network (ANN) classifier for classification. The effectiveness of the proposed method has been tested on MIAS database. The performance measures are computed with respect to normal vs. abnormal and benign vs. malignant for using approximation subband and energy feature of all curvelet coefficients. The highest classification accuracy of 95.34% is achieved for normal vs. abnormal and 80.86% is achieved for benign vs malignant class using energy feature of all curvelet coefficients. 10 30 2019 4819 4824 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3694.1081219 https://www.ijitee.org/portfolio-item/L36941081219/ Department of Computer Application, Dhamdhama Anchalik College, Dhamdhama, Nalbari, Assam, India. Saiful Islam* Prof. Bipul Syam Purkayastha Department of Computer Science, Assam University, Silchar, Assam, India. Machine Translation (MT) is a technique that automatically translates text from one natural language to another using machine like computer. Machine Transliteration (MTn) is also a technique that converts the script of text from source language to target language without changing the pronunciation of the source text. Both the MT and MTn are the challenging research task in the field of Natural Language Processing (NLP) and Computational Linguistics (CL) globally. English is a high resource natural language, whereas Bodo is a low resource natural language. Though Bodo is a recognized language of India; still not much research work has been done on MT and MTn systems due to the low resources. The primary objective of this paper is to develop Bodo to English Machine Translation system with the help of Bodo to English Machine Transliteration system. The Bodo to English MT system has been developed using the Phrase-based Statistical Machine Translation technique for General and News domains of Bodo-English parallel text corpus. The Bodo to English MTn system has been developed using the Hybrid technique for General and News domains of Bodo-English parallel transliterated words/terms. The translation accuracy of the MT system has been evaluated using BLEU technique. 10 30 2019 3825 3830 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3695.1081219 https://www.ijitee.org/portfolio-item/L36951081219/ Department of Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. Hepsiba. D* L.D. Vijay Anand Department of Instrumentation Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. The whole world is moving towards recycling or green campus; such an initiative is focused here. In order to make use of the recycled raw materials completely without any wastage, certain measurements are necessary. Such measurement is the paper or board thickness has been proposed in this paper. The paper thickness measurement plays a vital role in order to minimize the pulp wastage and increase the production rate. The measurement technique utilized for paper thickness measurement is the ultrasonic method. The ultrasonic sensor-based paper thickness measurement helps in getting optimized results of maximum utility and minimal wastage. The thickness measurement indicator is designed to monitor the paper or card board thickness in an effective way. The improves the productivity of the paper production plant. 10 30 2019 4831 4833 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3697.1081219 https://www.ijitee.org/portfolio-item/L36971081219/ Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India. E. Jenifer Sweetlin* D. Narain Ponraj Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India. The rapid growth of the internet and its applications makes data grow to huge volumes. The Relational Database Management Systems are inefficient to handle huge volumes of data and so nowadays, Big Data technology is being used by many organizations such as Facebook, Twitter etc. Big Data technology is very useful for organizations to take proper decisions to attain their goals and in mounting themselves organization to full fledge. The use of this technology is broadly widened across all fields of Science, Medicine, Technology, and Business, so it is mandatory to acquire knowledge about Big Data concepts. Thus, acquiring knowledge on the technological revolution from traditional Database Management System to Big Data is significant. In this paper, we have discussed about big data and its evolution, characteristics, data sources, formats, Stages of Big Data process. A huge volume of clinical dataset has been considered and it is analyzed using Naive Bayes Classifier. 10 30 2019 4834 3837 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3703.1081219 https://www.ijitee.org/portfolio-item/L37031081219/ CST, S.R.K.R.E.C., Bhimavaram, India. G. Vineela* V. Mnssvkr Gupta CST, S.R.K.R.E.C., Bhimavaram, India. The Machine Learning field has extended its thrust virtually in any domain of analysis and within the near past has become a trusted tool in the medical domain. The experiential domain of automatic learning is employed in tasks like medical decision support, medical imaging, protein-protein interaction, extraction of medical data, and for overall patient management care. ML is pictured as a tool by that computer-based systems are often integrated within the health care field so as to induce a far better, well-organized treatment. To extract optimal feature selection with high dimensional bio-medical knowledge, during this paper propose a Advance Machine Learning Approach with optimization approach i.e. Ant Colony Optimization (ACO). It extracts sentences from revealed medical papers that mention diseases and coverings, and identifies semantic relations that exit between diseases and coverings. Our analysis results for these tasks show that the projected methodology obtains reliable outcomes that might be integrated in associative application to be employed in the treatment domain. 10 30 2019 262 266 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3704.1081219 https://www.ijitee.org/portfolio-item/L37041081219/ Department of Computer Science and Engineering, Marathwada Institute of Technology, Aurangabad, Maharashtra, INDIA. Bhakti Ahirwadkar* Sachin N. Deshmukh Department of Computer Science and IT, Dr Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, INDIA. The data available online, helps users to get information about anything of his/her interest. But since the data is huge and complex it is difficult to get useful information from it. Recommender Systems are effective software techniques to overcome this problem. Based on the user’s and item’s information available, these techniques provide recommendations to users in their area of interest. Recommender systems have wide applications like providing suggestive list of items to customers for online shopping, recommending articles or books for online reading, movie or music recommendations, news recommendations etc. In this paper we provide a study of Deep Neural Networks (DNN) approaches that can be used for recommender systems. They have been used widely in last decade in many fields like image processing, video streaming, Natural Language Processing etc. including recommendations to overcome the drawbacks of traditional systems. The paper also provides performance of Denoising AutoEncoders (DAE) which are feed forward neural networks and its comparison with traditional systems. Denoising Autoencoders are a type of autoencoders wherein some part of input is corrupted, i.e., noise is added to the input. While learning to remove noise from input, the DAE also learns to predict unknown values. This property of Denoising Autoencoders can help in recommendation systems to predict unknown values before recommending new items. Experimentation has shown improvement in the performance of recommendation systems with denoising autoencoders. The evaluation is performed on MovieLens-1M dataset with and without additional features of users (age and gender) and items (movie genres) provided in the dataset. 10 30 2019 4838 4832 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3706.1081219 https://www.ijitee.org/portfolio-item/L37061081219/ CST, S.R.K.R.E.C., Bhimavaram, India. M. L. Bhavani Lakshmeelavanya Alluri CST, S.R.K.R.E.C., Bhimavaram, India. Medical imaging is a forceful idea of various medicinal ideas i.e. malignant growth and other related infections, present days; various kinds of therapeutic pictures are caught and saved in computerized position in medicinal research focuses. Confronting this kind of huge volume of picture information with various sorts of picture modalities, it is critical to execute effective content based image retrieval (CBIR) for restorative research focuses. Picture mark ordering is another actualized strategy for medicinal picture recovery. Traditionally various kinds of CBIR methodologies are proposed to give unsatisfied therapeutic picture recovery results. So that in this paper, propose a Convolution Index based Unsupervised Label (CIUL) way to deal with recover marks of pictures utilizing AI wording. We characterize AI as matrix convex optimization with cluster-based matrix representation which can be utilized to improve the productivity in picture recovery framework. 10 30 2019 267 270 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3707.1081219 https://www.ijitee.org/portfolio-item/L37071081219/ Department of Mathematics,Voorhees College,Vellore, India Annie Jasmine M. Yamuna* Department of Mathematics, SAS, VIT University, Vellore, India K.Ameenal Bibi Department of Mathematics, D.K.M. College for Women, Vellore, India The ever expanding nature of graph theory has made it a convenient tool for a wide range of practical applications. This study prescribes an algorithmic approach of cryptographic decoding of chemical formula using Jump graphs and Line graphs. Hamiltonian graphs are used as the key for encryption and decryption. 10 30 2019 4843 4846 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3711.1081219 https://www.ijitee.org/portfolio-item/L37111081219/ Dept. of Mechanical Engineering, NITTTR Chandigarh, India. Nitin Koundal* Dr. S. S. Banwait Professor and Dean (R&D), Dept. of Mechanical Engineering, NITTTR Chandigarh, India. Present work aimed to analyse the mechanical properties of various fused deposit materials used in the fabrication of elbow orthosis with the help of simulation. Four materials introduced from ANSYS Engineering data library were analysed, namely Nylon 6/6, ABS, HIPS and Polycarbonate (PC). The structural analysis of elbow orthosis helps us to investigate various materials working life. The orthosis was subjected to 20Nm of torque at the elbow joint. In the present work, the elbow orthosis finite element model was developed using SolidWorks 2017 and further analysed with the ANSYS 2019 R1 academic workbench. The result showed that ABS could withstand 628.31 MPa of equivalent stress which was maximum as compared to other materials and has a total deflection of 3.3817 mm, which indicates it can be used in fabrication of the elbow orthosis. 10 30 2019 4847 4850 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3713.1081219 https://www.ijitee.org/portfolio-item/L37131081219/ PG Scholar,department of mechanical engineering, Vidya Jyothi Institute of Technology, Hyderabad, India. Madhigani Sneha* G. Sreram Reddy Department of Mechanical Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India. Dr. L. Madan Ananda Kumar Department of Mechanical Engineering, Vidya Jyothi Institute of Technology, Hyderabad, India. Reverse engineering plays a significant role in rebuilding of a product. This suggests a situation arranged for reverse engineering of turbine blade used in aero engine components. It is the process that designs by using point cloud data to get CAD models. Reverse Engineering is a method for creating CAD model of physical parts whose designs are not available or fractured or damaged parts by digitizing a persisting prototype, reverse engineering creates a computer model by applying 3D scanning. In this paper it is for reproducing the geometries of aero engine physical components i.e. turbine blade in digitizing process through 3D Scanning and CMM Inspection. Complete transformation of physical data into CAD models by applying modern measuring machines and with its integrated software (Creo 2.0) extraction of information about geometry to develop the part models. CMM inspection & reverse engineering software be located active to evaluate any dimension deformation. The deviation in the dimension is taken into attention as evaluating characteristics. The error analysis of some features between 3D scan data, CMM, CAD model and MESH data are performed. The deviation between scan data, CAD model & CMM are within the suitable limits and deformation between CAD model & MESH data are within -0.1 to +0.1mm. The CAD model generated is within suitable criteria i.e., 30 microns. Parts which require to reverse engineered. After completion of the CAD model 3D printing development is done. 10 30 2019 5806 5810 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3714.1081219 https://www.ijitee.org/portfolio-item/L37141081219/ Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA. Ezzatul Farhain Azmi Muhammad Firdaus Ishak Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Cawangan Johor, Kampus Pasir Gudang, Johor, MALAYSIA. Adam Samsudin Faculty of Electrical & Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA. Amar Faiz Zainal Abidin* Faculty of Electrical & Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Melaka, MALAYSIA. Kamaru Adzha Kadiran Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Cawangan Johor, Kampus Pasir Gudang, Johor, MALAYSIA. Control Principle course is a part of syllabus in the diploma or degree in Electrical Engineering programme where students are exposed to topics such as time response analysis. One of the topics in this course is Transient Response analysis where it requires students to calculate the characteristic of the response based on set of formula. One of the difficulty encounters in delivering this topic is students having difficulty to relate the theory with the application as most theoretical part of this topic does not explain on how the transient response graph is obtained in the first place. In order to address this problem, this paper proposed E-Water Level educational kit that can be used by student in order to understand independently the transient response analysis by applying theory on the water level control application where the student knowledge on Transient Response parameters are tested, namely the delay time, rise time, damping ratio and setting time. The system consists of Arduino Microcontroller, water tank, water pump, relay, ultrasonic sensor and electronic display. The novelty of this educational kit is that the educational kit is adaptive in bridging the gap between theory and application in which the data is generated by real application of water level and the answers for the questions are automatically generated based on the data obtained. Thus, each student will experience different set of question. 10 2019 4851 4856 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3715.1081219 https://www.ijitee.org/portfolio-item/L37151081219/ Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India. K. Manoj Kumar* T.S. Sandeep Dept. of CSE, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India. G.Sunil Kumar Dept. of CSE, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India. K. Anusha Dept. of I.T, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India. For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work. 10 30 2019 4857 4861 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3716.1081219 https://www.ijitee.org/portfolio-item/L37161081219/ Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia. Iswanto* Prisma Megantoro Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia. Devita Via Senzas Department of Electrical Engineering and Informatics, Universitas Gadjah Mada, Yogyakarta, Indonesia. The article discuss about designing a Raspberry Pi 3-Based OHP Temperature Calibrator. This device used to callibrate temperature measurement device with GUI-based (Graphic User Interface). The device has been programmed on Raspberry Pi 3 with Python programming language. This research was done by and recycled over head projector (OHP), designing and conducting sensory characterization analysis and uncertainty analysis on temperature calibrator. The method used in this research is heuristic method, where this method is used in sensor characterization analysis. After the characterization done, obtaining the specifications of each sensor, temperature calibrator instrument then tested to determine the amount of uncertainty of the instrument that has been designed. The result of the homogeneity for fifth test points are 6 °C, 5 °C, 5 °C, 8 °C, and 16 °C. The results of the sensor characterization test show that the accuracy and precision of all sensors are more than 99%. The sensitivity values for the four sensors are 11.68 mV /°C, 12.34 mV /°C, 11.24 mV /° C, and 11.50 mV /° C. The correlations and linearity of all sensors are more than 97% also. And the response of time of the four sensors to the heat source are 1.61 °C/s, 1.13°C/s, 1.17 ° C / s, 1.00 °C/s. the uncertainties for sensor 1 are (132 ± 0.7)°C, sensor 2 (132 ± 0.6)°C, sensor 3 (132 ± 0.7)°C, and sensor 4 (132 ± 0.7)°C. Based on the research, it can be concluded that Raspberry Pi based temperature calibrator instrument has a good accuracy level, and the effective temperature for calibration is at maximum temperature, that is 132°C. 10 30 2019 4862 4866 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3719.1081219 https://www.ijitee.org/portfolio-item/L37191081219/ Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka Revathi G K* Anjana S Department of Computer Science & Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka. This Wireless sensor network (WSN) is a network of sensors, which is capable of communicating with each other and sensing some changes in parameters such as temperature, humidity etc. Such networks are beneficial in many fields, such as military industries, health monitoring, environmental tracking, monitoring of traffic. However, WSN’s are easy to be attacked because of its properties such as untrusted broadcast transmission media, physical accessibility of sensors. So, protecting networks against attacks is one of most important issues in network and information security domain. As Sensor nodes have limited resources, authentication and encryption cannot be implemented directly to it. Hence, we propose a Hybrid Intrusion Detection System, which consists of Host Based Intrusion Detection system (HBIDS) and Network Intrusion Detection System (NIDS). In NIDS anomaly in network traffic, is detected. In HBIDS, patterns of misuse are detected from information collected at particular host or sensor. The main idea is to collect each sensor node’s data and anomaly is detected in network and this detected intrusion is compared with signatures of attack in misuse detection system. 10 30 2019 4867 4861 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3721.1081219 https://www.ijitee.org/portfolio-item/L37211081219/ Director , Datta Meghe Institute of Management Studies, Nagpur Dr. Shiney Chib* Dr.Kanchan Dewal Assistant Professor, Datta Meghe Institute of Management Studies, Nagpur Kanchan Artani Assistant Professor, G H Raisoni chool of Management, Madhav Nagari, Nagpur. Sneha Turkar Associate Executive, HCL Technologies, Nagpur. Organic food products refers to food raised, grown and stored and/or processed without the use of synthetically produced chemicals or fertilizers, herbicides, pesticides, fungicides, growth hormones and regulators or generic modification. Generally people are aware about the benefits of these products. But still the products have not achieved the market share in India, as expected. This people is an effort to identify the factors, which influences the purchase of organic food products. For this the researchers have developed a questionnaire and administered on the respondents. Both online and off line data collection was done, to cover the major areas, so that data can be collected from distinct places. The paper explored the awareness level about organic food products, influence of demographic variables on organic food consumption and factors affecting organic food purchase intention. 10 30 2019 5811 5817 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3723.1081219 https://www.ijitee.org/portfolio-item/L37231081219/ Research Scholar Jain University, Bangalore, India. Captain Venkatesh Chari* The number of functional airports and airstrips in India has tremendously increased due to the growth and demand of the aviation sector in the country. At present, no interface exists, which correlates all the five functional aspects (Safety, Security, Operation, Profit, and Passenger Services) of an airport. The study in gauge the functionality aspects and profit potential. The study acts as a checklist to evaluate all the aspects of operating an airport and also acts as an evaluation tool to measure the quality of services rendered in the airports. The study contributes towards better efficiency in airport management and draws out the lacunae in the present system of operation. The study considers Indian passengers as the target respondents. The study adopts a Quantitative research strategy, and regression weights were used to test the formulated hypothesis. The proposed study undertakes Structural equation modeling along with AMOS to construct the proposed hypothesized model. The study finding concludes that functional aspects play a positive role in curving the perception of passengers. 10 30 2019 4872 4876 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3724.1081219 https://www.ijitee.org/portfolio-item/L37241081219/ Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia. Nathania Elvina* Andre Rusli Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia. Seng Hansun Informatics Department, Universitas Multimedia Nusantara, Tangerang, Indonesia. Instant messaging has changed and simplified the way people communicate, whether in professional or personal life. Most communication is done through instant messaging, and it is common for people to miss important information. This is due to the huge amount of incoming message notifications, so users tend to accidentally ignore them. This is also experienced by Universitas Multimedia Nusantara (UMN) student committees who communicate via LINE instant messenger. This research showed LINE bot was made by using the Naive Bayes algorithm to classify between important messages and unimportant messages on the committee group. The Naive Bayes algorithm is a classification algorithm based on probability and statistical methods. The Naive Bayes algorithm is chosen because it is widely implemented in spam filtering; the method is simple and has good accuracy. The classification process is done by calculating the probability of chat in each class based on the value of the word likelihood which generated in the training process. This research produces spam precision and spam recall as 94.2% and 95.6% respectively. 10 30 2019 4877 4882 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3726.1081219 https://www.ijitee.org/portfolio-item/L37261081219/ Samara Regional Clinical Center for the Prevention and Control of AIDS, Samara, Russia. Elena Ivanova* Vitaly Zhirnov Department of Hospital Pediatrics, Samara State Medical University, Samara, Russia. Elena Gasilina Department of Pediatric Infections, Samara State Medical University, Samara, Russia. The article considers the statistical and cause-effect relationship between social conditions and two groups of features characterizing the psychophysical development and incidence in HIV infected children from residential institutions in comparison with a group of HIV infected children from families. The authors have obtained data on the adverse influence of social living conditions (residential institutions) on the health of HIV infected children. HIV infected children without parental care, living in residential institutions, are more vulnerable in terms of a number of factors and need enhanced integrated medical and social support to correct the existing defects and improve the quality of life. 10 30 2019 5297 5299 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3728.1081219 https://www.ijitee.org/portfolio-item/L37281081219/ Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia Nin Hayati Mohd Yusoff* Nurul Azma Zakaria Center for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia. Norharyati Harum Center for Advanced Computing Technology, Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia. Smart Home (SH) is one of the Internet of Thing (IoT) ecosystem that is experiencing rapid growth, especially in communication and application technologies. However, most applications of SH are embedded devices that are categorized as low power, less memory usage, and limited cost. Therefore, the IPv6 Low Power Area Network (6LoWPAN) is introduced by Internet Engineering Task Force (IETF) in order to fulfill the connectivity requirement of embedded devices. However, the 6LoWPAN standard is restricted to 250 kbps and the frame length is limited to 127 bytes, whereas the packet size over IPv6 is 1280 bytes. Because of this glaring discrepancy, routing becomes the main issues in 6LoWPAN network capability. There is a number of existing routing protocols for 6LoWPAN, and among them RPL is effective in terms of latency and throughput, but the overhead is considerably high when implemented in a large-scale network. Therefore, this study focusses on analysing the causes of RPL overhead in the 6LoWPAN network. For that, this document analysis employed the 5W1H (What, Where, When, Why, Who and How) model in investigating and describing the causes of RPL overhead in 6LoWPAN. The results of this model show four (4) critical parameters needed to be addressed in solving the RPL overhead problem: i) network topology change, ii) limitation of 6LoWPAN, iii) Node failure in the large network and iv) additional transmission information. Furthermore, the future goal of this study is to come up with a novel 6LoWPAN routing protocol algorithm that would be used as high-level technical recommendations for IoT SH ecosystem communication. 10 30 2019 5300 3505 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3732.1081219 https://www.ijitee.org/portfolio-item/L37321081219/ Ph.D. Scholar, Electronics Dept., Sathyabama Institute of Science & Technology, Chennai, and Asst. Professor, Dept of E&TC, Army Institute of Technology, Pune, India. Rajashree A. Patil* P. Kavipriya Associate Professor. Dept. of ECE, Sathyabama Institute of Science & Technology, Chennai, India. B. P. Patil Principal, Army Institute of Technology, Pune, India. The Wireless Systems Are Employed With More Number Of Antennas For Fulfilling The Demand For High Data Rates. In Telecommunication, Lte-A (Long Term Evolution-Advanced) Is A Well-Known Technology Intended For Wireless Broadband Communication Aimed At Data Terminals And Mobile Devices. Multiple Input Multiple Output (Mimo) Technology Is Used By Lte Which Is Also Known As Fourth Generation Mobile Networks To Attain Very High Data Rates In Downlink And Uplink Channels. Though The Mimo Systems In Massive Mimo Are Provided By Multiple Antennas, The Design Of The Appropriate Non-Erroneous Detection Algorithm Is A Major Challenge. Also, With The Increase In Quantity Of Antennas, The System's Spectral Efficiency Begins To Degrade. So As To Deal With This Issue, A Proper Algorithm Has To Be Utilized For Channel Estimation. The Bio Inspired Algorithms Have Shown Potential In Handling These Issues In Communication And Signal Processing. So, Grey Wolf Optimization (Gwo) Algorithm Is Used In This Approach To Estimate The Most Optimal Communication Channel. Also, The Spectral Efficiency And Data Capacity Are Enhanced Using The Presented Approach. The Proposed Approach’s Performance Is Compared With The Existing Approaches. The Simulation Result Exposes That The Presented Channel Estimation Approach Is Far Better Than Existing Channel Estimation Approaches In Performance Metrics Such As Bit Error Rate, Minimum Delay, Papr, Spectral Efficiency, Uplink Throughput, Downlink Throughput And Mean-Squared-Error. 10 30 2019 5306 5354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3733.1081219 https://www.ijitee.org/portfolio-item/L37331081219/ Computer Science Program, Faculty of Science and Technology, Suan Sunandha Rajabhat University. Thailand. Kunyanuth Kularbphettong* Nopichai Ajimakul Project Manager of Knack Corporation Company. Udomlux Ampant Information System Program, College of Innovative Technology and Engineering, Dhurakij Pundit University. Thailand. Traditional Thai house, called “Ruean Thai”, is a local wisdom in Thai architecture which is unique style in Thailand and it is very important and valuable knowledge to be passed from generation to generation. However, with the massive changes of latest technology, children or young people pay less attention to Thai wisdom and culture. Therefore, this research aims to preserve the Thai wisdom and cultural learning in Thai house by using gamification techniques and Thai house models in three dimensions to solve the above problems. This Thai house game application is a game based learning program to assemble Thai house models in three dimensions for entertainment and learning about the components of Thai houses of each region. In our project, students interact with a Thai house game application based gamification technique and able to learn and take challenges through gaming to expand and test their knowledge. The result shown that using Thai house game application enhances a more comprehensive understanding and engage student to raise their time learning and enjoyment during the experimental process. 10 30 2019 5315 5318 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3734.1081219 https://www.ijitee.org/portfolio-item/L37341081219/ Design Engineering, Dr. D Y Patil School of engineering, Pune, India. Hrishikesh S kakade* Dr. F B Sayyad Mechanical Engineering, Dr. D Y Patil School of engineering, Pune, India. Asst.Prof. V G Patil Mechanical Engineering, Dr. D Y Patil School of engineering, Pune, India. Snap fit joints are widely used in industry for assembling different parts. Nowadays snap fits are found in wide range of application ranging from household appliances, toys, telephones to automobiles. This study is carried out to find the most accurate snap in force of cantilever snap fit by using finite element analysis. Snap in force is the most important term in design of cantilever snap fit because while in manual assembly process it is very much important to perceive the snap fit engagement. This study focuses on the nonlinear FE analysis method to calculate insertion force of the plastic snap fit part. Behavior of plastic material is nonlinear so it difficult and time consuming to calculate the snap in force by mathematical formulae only so nonlinear FE analysis will be best method to get the realistic snap in force value. This research work also included the mathematical model and linear FE analysis calculations for the estimation of snap in force. In nonlinear analysis contact, geometric and material nonlinearity is defined in the FE model. For the verification of the results the physical testing is also carried out with the help of force gauge tool. The analytical calculations and linear FE analysis estimates higher snap in force than the actual, while nonlinear FE analysis estimates more accurate snap in force value. 10 30 2019 5319 5323 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3735.1081219 https://www.ijitee.org/portfolio-item/L37351081219/ Persuing Master’s Degree, ECE, Punjabi University, Patiala, India. Maninder Kaur* Simranjit Singh Assistant Professor, Department of ECE, Punjabi University, Patiala, Punjab, India. Gurpreet Kaur Assistant Professor, Department of ECE, CGC Landran. Resource allocation is the method of providing various available resources to the users in a network. Optical network is the method of the transmission of data through established equipment of optical fiber cables. Optical fibre cable used by different cable industries for communication between digital signal, telecommunication and data cable signals. Because of the low interfering, optical fibre cable has wide variety of applications over copper cable. The previously used techniques, described the distribution of the resource issue over the network for the three kinds of the stations and solution algorithms were proposed to solve the problem. First approach is representing the quantum key distribution that enables two parties to share a random key over the network .Also, different security phases have been demonstrated by updating multiple keys. Proposed algorithm decrease the rate of loss of data during the communication in optical networks. An approach is implemented namely route wavelength and time period arrangement (RWTA) algorithm to assign properties for three kinds of the stations and examine the results based on various structures. The proposed approach is based on two security mechanisms, which are in terms of the quantum key distributions and OSTBC encoding process, to improve the authentication in the network. In addition, quantum key distribution and OSTBC encoding is processed to evaluate the performance of the Quality service channel (QSC) and time division channels (TDC). Finally, it was determined that there is low probability of blocked data and less chances of the key failure in the network. 10 30 2019 4956 4960 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3737.1081219 https://www.ijitee.org/portfolio-item/L37371081219/ Undergraduate Student, Institute of Technology, Nirma University, Ahmedabad, 382481, Gujarat, India. Aniruddh Kulkarni P. N. Kapil* Assistant Professor, Institute of Technology, Nirma University, Ahmedabad, 382481, Gujarat, India, The requirement of converters is increasing with the increase in demand for the power conversion devices. For efficient power conversion, stability and time response of the system must be improved. For improving characteristics a mathematical model of the system must be determined. In this paper, an improvised state space model of full bridge converter is presented which can be used in converter design. This state-space model incorporates the non-idealities of the transformers like discharge time of primary inductance and secondary inductance as well as the wire resistance. The interdependency of the parameters affects the state space model of the converter compared to the ideal modeling. This variation in state space model of the converter has an impact on design of compensator which improves the system efficiency of the converter. 10 30 2019 4421 4426 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3741.1081219 https://www.ijitee.org/portfolio-item/L37411081219/ Department of Highway Technology,VTU CPGS, RO Kalaburagi, Karnataka, India. Mahesh Kumar* Siddharth B Department of Construction Technology,VTU CPGS, RO Kalaburagi, Karnataka, India. Maneeth P D Department of Construction Technology,VTU CPGS, RO Kalaburagi, Karnataka, India. Nowadays there is an increase in environmental knowledge and its effects on the environment, the disposal of waste products from industries are being big deal to manage. Such waste materials cannot be dumped on any lands, due to this reason it is difficult to manage waste materials. After so many investigations finally conclude that waste material can be utilized in the construction as additives, such materials can reduce the cost of construction and gives more strength compared to conventional concrete. These products can be utilized to partial replacement of cement. In this investigation, we are using Silica fume/ Micro silica as a partial replacement of cement. From this combination, we can improve the strength, workability and resist cracks in concrete. To reduce water content PAR PLAST SPL super plasticizer is used. The present investigation is to determine the strength behavior of Silica fume/Micro silica and fibres in Rigid pavement. The concrete mix design is as per IRC 44 2009, and it is proportioned to set target mean strength as 40 Mpa. The water-cement ratio as per mix design is 0.38. Specimens was casted and cured for various percentages that are 0%, 2.5%, 5%, 7.5% and 10%. With this constant percentage of fibres was added that is 1% Polypropylene fibre and 0.5% Glass fibre. This specimen tested for 3, 7, 28 days for cubes and 7, 28 days for beams and cylinders. From this investigation, Cement can be replaced with Micro silica to improve strength properties like bending and tensile strength. The Silica fume/ micro silica found at 7.5% optimum dosage, up to this percentage cement can be replaced. 10 30 2019 4961 4967 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3742.1081219 https://www.ijitee.org/portfolio-item/L37421081219/ M Tech Student, Department of Highway Technology, VTU CGPS, RO Kalaburagi, Karnataka, India, Mahantesh* Maneeth P.D Assistant Professor, Department of Construction Technology, VTU CGPS RO Kalaburagi, Karnataka, India. Brijbhushan S Assistant Professor, Department of Highway Technology VTU CGPS, RO, Kalaburagi, Karnataka. Concrete a widely used, strong and versatilely mould able construction material consist of binding material, aggregates, and water. Concrete can be made of different binding materials but in the present scenario cement concrete is the most preferable concrete all over the world. Due to globalization and industrialization, the infrastructure growth is at a faster rate, which requires a huge amount for development. One of such overused construction material is cement concrete, the survey indicates that the concrete is the world's second most consumed material, after water. It shows that material consumption for the preparation of concrete is very high. Which will directly lead to overuse of natural resources, increasing environmental pollution and also raise the cost of construction The experimental investigation of OPC-53 grade replacement by GGBS 5%, 10%, 15%, 20%, 25% and fly ash 5%, 10%, 15%, 20%, 25% then also adding polypropylene microfiber 1%. Tests on fresh properties and harden properties like compression, Tensile strength, Flexural strength was conducted. Superplasticizer was used to have good workability for all replacement levels. The mix design is carried out for M45 grade of concrete as per, IRC 44-2008. 10 30 2019 4968 4975 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3743.1081219 https://www.ijitee.org/portfolio-item/L37431081219/ Civil Engineering Departement, RIMT University, Punjab, India. Amir Farooq* Punit Verma Civil Engineering Departement ,RIMT University, Punjab, India. Sandeep Singla Civil Engineering Departement, RIMT University, Punjab,india Solid wastes are all the waste which arise from human being and mammal activities that are normally solid and are surplus as unwanted material. In this study, the firm waste has been generated by dredging the Dal Lake, which posesses grave dumping and ecological problems around the Dal Lake. In this study, different percentages of dredged material (by weight) were added to normal silty clay soil samples (obtained from Srinagar city in India) and their index properties and compaction characteristics (using Modified Proctor Compaction tests) were determined. Disturbed soil specimens for various laboratory tests dmax and corresponding water content on the dry side of optimum. CBR sample stabilize with dredged soil were experienced for unsoaked and soaked (soaked for 4 days) conditions. Tests results shows great improvement in engineering properties and CBR value with rise in normal silty clay soil contents in dredged soil. therefore, dredged soil has both rewards. First, to avoid the remarkable ecological problems caused by large scale discarding of dredged soil and second, to help in suitable development of environment about well-known dal lake. 10 30 2019 4976 4981 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3744.1081219 https://www.ijitee.org/portfolio-item/L37441081219/ Department of Business Administration, Tallinn University of Technology, Tallinn, Estonia Olha Prokopenko* Yaroslava Larina Department of Marketing and International Trade, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine Olena Chetveryk Department of Marketing and International Trade, National University of Life and Environmental Sciences of Ukraine Ukraine, Kyiv, Ukraine Sergiy Kravtsov Department of Tourism and Recreation, Kyiv National University of Trade and Economics, Kyiv, Ukraine Nataliya Rozhko Industrial Marketing Department, Ternopil Ivan Puluj National Technical University, Ternopil, Ukraine Iryna Lorvi Department of Marketing, Lutsk National Technical University, Lutsk, Ukraine As a result of the active development of tourism in the world, an increasing number of destinations have become available for tourists. At the same time, due to the growing competition, the individuality of special places of recreation sharply decreases. In the face of global competition, when tourist destinations become easily replaceable, destination controls are included in this battle for the attention and resources of tourists. The destination is a complex product, and it is necessary to engage in marketing with the same efforts as enterprises are marketing their goods and services. Due to global digitalization, Internet marketing has long become an integral part of any effective marketing campaign. Determining the goals, methods for achieving them and choosing the right Internet marketing tools are one of the main steps on the path of promoting tourist destinations. The following digital Internet marketing tools can be distinguished: Website, Content Marketing, Search Marketing (including Search Engine Optimization, Search engine marketing), Internet Advertising, Email-marketing, Social Media Marketing (SMM), Mobile Marketing, Viral Marketing, Video Marketing, Voice Search, Audio Content, Influencers and micro-influencers, End-to-end analytics.Creating an ideal digital marketing strategy is based on the use of a specific set of digital promotion tools. Along with the classic tools, such as website, e-mail marketing, SMM, SEO and SEM, content marketing, it is necessary to implement modern, rapidly gaining popularity in recent years: chatbots and instant messengers, optimization for voice search, video and audio content. 10 30 2019 4982 4987 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3745.1081219 https://www.ijitee.org/portfolio-item/L37451081219/ Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Alexi Delgado* R. Buleje Z. Muñoz, B. Reyes, R. Tenorio, Environmental Engineering Program, Universidad Nacional de Ingeniería, Lima, Peru. Ch. Carbajal Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru. The district of Comas in Lima, Peru, is considered one of the districts with the highest number of critical points due to the accumulation of solid waste, causing the proliferation of vectors and the generation of bad smells, producing in this way a negative environmental and social impact on the population and on the landscape characteristics of the environment. The objective of this investigation is to evaluate the risk produced by the critical points of solid waste identified in Tupac Amaru Avenue, in the district of Comas, using the Grey Clustering method. This method allows to consider the uncertainty in the analysis being an adequate methodology for the evaluation of the risk of critical points since it is an issue of high level of uncertainty due to the limited information. The criteria for the evaluation of the risk of the critical points are according to the methodology of the Risk Evaluation Guide of the Ministry of the Environment. Five critical points of solid waste identified in the corresponding Tupac Amaru Avenue in all Zone 1 of the district of Comas were evaluated during 3 days. The results revealed that the three of the monitoring points present moderate risk and two slight risk. This study could be a useful tool for decision making by local and regional authorities to prioritize critical points for eradication and prevention. 10 30 2019 4988 4993 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3746.1081219 https://www.ijitee.org/portfolio-item/L37461081219/ Faculty of Mechanical Engineering, Universidad Nacional de Ingeniería, Lima, Peru. C. Villanueva, J. Luyo* Alexi Delgado* Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Ch. Carbajal Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru. This research studies a general modeling to evaluate different scenarios of travel patterns and their impact on the daily cost negotiated in the Real Time and Day-Ahead market, using the GAMS methodology in a MILP model, evaluating also a characterization of the PQP market (price quantity probability). The purpose of this characterization is to determine the behavior of the electric energy market, considering also the deterioration of batteries and the negotiations of it in real time in situations of shortage and overload, optimizing in this way the effects of the analysis of the cost of the application of the battery on the different travel patterns, consequently triggering the emergence of the development of the local electric transport aggregator industry. 10 30 2019 4994 4998 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3747.1081219 https://www.ijitee.org/portfolio-item/L37471081219/ Computer Science Engineering, Saveetha School of Engineering, Chennai, India. Harshavardhan Reddy B* Aravind Reddy Y Computer Science Engineering, Saveetha School of Engineering, Chennai, India. Sashi Rekha K Computer Science Engineering, Saveetha School of Engineering, Chennai, India. As the population of the world is growing at a rapid pace. By 2050, projections show that there will be 9.2 billion people on the planet that needs to be feed. Farmers need more sustainable and productive ways to be employed to seize a prominent place in the market with compelling profits. One effective way to do that is by using Blockchain to eliminate the middleman and scaling the product effectively. A Blockchain is a distributed and immutable ledger that holds a permanent record of transactional data. It operates as a decentralised database managed by the peers in the network eliminating the middleman. Blockchain helps the farmers to secure more profits, achieving them at least 30% more than what they are earning by currently followed conventional techniques. Especially in the Indian market, the price gap is high between producer and retailer due to the intervention of a middleman. Blockchain not only increases the profits but also ensures the authenticity of the product in real time, providing the customers and peers more information about the product as it is easier to trace the details of the product back and forth through the chain. This also enhances and regulates the price variations providing farmers with the best price they can expect for their product. This will gradually increase the involvement of more people and drives more investors towards the agriculture industry, funding more agriculture-based businesses increasing food production that can be able to feed the massive population sooner. 10 30 2019 4999 5004 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3749.1081219 https://www.ijitee.org/portfolio-item/L37491081219/ Department of Information Technology, Padmabhushan Vasantdada Patil Pratishthan's College of Engineering, Mumbai, India Seema Anand Ladhe* Research community interacts by means of multi-domain networks. Operating policies, set of hardware components, customers, bandwidth configuration varies from network to network. Hard failures like fiber cut, power failures are easy to detect while soft failures which result in packet loss and degrade the throughput are difficult to detect. Present network monitoring tools are subject to single administrative domain. Hence, network cannot be monitored over multiple domains. Performance focused Service Oriented Network monitoring ARchitecture (perfSONAR) is designed and developed by open source community which supports advanced level of network monitoring across multi domain network. In this paper, I have focused on the importance of multi-domain network monitoring and reviewed the work of perfSONAR proposed by various researchers. 10 30 2019 5005 5011 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3751.1081219 https://www.ijitee.org/portfolio-item/L37511081219/ Research Scholar, Department of Mathematics, Jawaharlal Nehru Technological University Ananthapur, Andhra Pradesh, India. R. Anantha Lakshmi* K. Jayalakshmi Associate Professor, Department of Mathematics, Jawaharlal Nehru Technological University Ananthapur, Andhra Pradesh, India. A sequence of instructions which can help to solve a problem is called an algorithm. The reason for composing an algorithm is to reduce the timespan and understanding the solution of problems in simple way. In this paper, vertex prime valuation of the Jahangir graph Jn,m for n ≥ 2, m ≥ 3 and generalized Theta graph θ (l1, l 2, l 3, ..., ln) has been investigated by using algorithms .We discuss vertex prime valuation of some graph operations on both graphs viz. Fusion, Switching and Duplication, Disjoint union and Path union. 10 30 2019 5019 5021 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3754.1081219 https://www.ijitee.org/portfolio-item/L37541081219/ Department of CSE, SGBAU, Amaravati University, Maharashtra, India. Ashwini M Joshi* Sameer Prabhune Department of CSE, SGBAU, Amaravati University, Maharashtra, India. Modelling the sentiment with context is one of the most important part in Sentiment analysis. There are various classifiers which helps in detecting and classifying it. Detection of sentiment with consideration of sarcasm would make it more accurate. But detection of sarcasm in people review is a challenging task and it may lead to wrong decision making or classification if not detected. This paper uses Decision Tree and Random forest classifiers and compares the performance of both. Here we consider the random forest as hybrid decision tree classifier. We propose that performance of random forest classifier is better than any other normal decision tree classifier with appropriate reasoning. 10 30 2019 5022 5025 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3758.1081219 https://www.ijitee.org/portfolio-item/L37581081219/ Department of E&CE, GM Institute of Technology, Davangere, Davangere, India. Rajendra Soloni* Rajappa H S Department of E&CE, GM Institute of Technology, Davangere, Davangere, India. Chandrappa D N Department of E&CE, PESITM, Shivamogga, Shivamogga, India Multiband reconfigurable patch antenna plays a vital role in wireless communication applications. By changing the current path on the patch a multiband reconfigurable antenna can be achieved. A simple multiband frequency reconfigurable microstrip patch antenna is presented in this paper. The proposed antenna structure is simulated in CST microwave studio. This antenna operates between 1.3 to 5.6 GHz with more than fifteen different frequencies. The antenna is analyzed for four different configurations. The designed antenna is resonating at five different frequencies (1.45 GHz, 2.36 GHz, 3.09 GHz, 3.6 GHz and 5.45 GHz) when both PIN diodes are ON. When PIN diode D1 is ON and D2 is OFF the antenna is resonating at 1.4 GHz, 2.22 GHz, 2.5 GHz, 3.08 GHz and 3.59 GHz. When D1 is OFF and D2 is ON the antenna is resonating at 2.34 GHz, 3.2 GHz, 3.62 GHz and 5.38 GHz frequencies. The slotted antenna or when both PIN diodes are in OFF condition antenna is resonating at 2.22 GHz, 2.49 GHz, 3.21 GHz, 3.6 GHz and 5.42 GHz. For each configuration the antenna parameters like gain, VSWR, directivity and radiation patterns are analyzed. 10 30 2019 5026 5030 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3759.1081219 https://www.ijitee.org/portfolio-item/L37591081219/ Vice Rector for Scientific Affairs, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan. Tashev Komil Akhmatovich* Khudoykulov Zarif Turakulovich Cryptology department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan. Arzieva Jamila Tileubayevna* Department of Applied Mathematics Karakalpak State University, Uzbekistan. So far, many one-time password based authentication schemes have been proposed; however, none is secure enough. In 2004, W.C.Ku proposed hash-based strong-password based authentication scheme without using smart card that is vulnerable to the password guessing attack, not achieving mutual authentication and key agreement. In this paper, we propose a new improved version of Ku’s scheme that is eliminated these weaknesses. 10 30 2019 5031 5036 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3761.1081219 https://www.ijitee.org/portfolio-item/L37611081219/ Faculty of Engineering and Technology, M. D. University, Rohtak (Haryana), India. Kapil Sharma* Sandeep Tayal Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. World improvement is the development of every single province of the world. Smart city implies changed hardware to adjusted individuals. Smart cities have the most indispensable part in altering distinctive regions of human life, touching segments like transportation, wellbeing, vitality, and instruction. Productively to make measurements to improve distinctive smart city benefits huge information frameworks are put away, prepared, and mined in smart cities. For the change and course of action of huge information applications for smart cities, different difficulties are faces. In this paper, we propose a wrapper display based ideal element recognizable proof calculation for ideal use of assets given highlight subset age. Nine component determination techniques used for compelling element extraction. At last, which includes best add to the ideal usage of assets got by means of a novel element recognizable proof calculation made by the application out of a Whale Optimization Algorithm with Adaptive Multi-Population (WOA-AMP) system as inquiry process in a wrapper display driven by the notable relapse demonstrate regression model Random Forest with Support Vector Machine (RF-SVM). Our proposed calculation gives the exact method to choose the most agreeable feature blend, which prompts ideal asset usage. 10 30 2019 271 281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3763.1081219 https://www.ijitee.org/portfolio-item/L37631081219/ Assistant Professor, Master of Computer Applications Department, Government College of Engineering, Karad, Maharashtra, India. Dr. Laxman L. Kumarwad* In the course of this study, the researcher is designed the framework for successful implementation of the e-governance services in Indian context for today’s scenario. The researcher is presents a Three Tier Framework for e-governance services by implementing latest and cutting edge information technology. Researcher proposed the framework for implementing successful e-governance projects in the district, which provides electronic services at the village, Tahasil, district and state level. Researcher achieved the wide range analysis of empirical transactional data and managed to gather the information in order to provide all inclusive responses to the research problem statement, therefore, considering the satisfactory outcomes. 10 30 2019 4341 4344 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3764.1081219 https://www.ijitee.org/portfolio-item/L37641081219/ Assistant Professor, Master of Computer Applications Department, Government College of Engineering, Karad, Maharashtra, India. Dr. Laxman L. Kumarwad* An attempt was made to evaluate performance of e-governance projects in the Satara district of the Maharashtra state in India. The primary data collected from the stakeholders of the e-governance projects implemented in the Satara district to fulfill this evaluation process. Such an analysis also aims to know the performance of the egovernance projects. In this research article, researcher identified the performance indicators/variables for evaluation of the performance of the e-governance initiatives in the district. 10 30 2019 4345 4350 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3765.1081219 https://www.ijitee.org/portfolio-item/L37651081219/ Research Scholar, IKGPTU Jalandhar, Ludhiana, India. Amanjot Kaur* Dr. Parminder Singh Associate Prof. IT, CEC Landran, Rupnagar, India, WMN is the wireless mesh network is having real type of application in the current time for the multicasting type of networking. Where one sender and there is a group of people who receives the message. But the bandwidth constraints will make the network to be on the slower side because the lowest speed channel will be allotted to the receiver automatically. The proposed algorithm with fixed gateway position with multichannel and multi radio wireless mesh network can create efficiency into the network. The proposed algorithm is having ability to get maximum throughput with the balancing of the different gateways with multichannel and multi radio wireless mesh network. The proposed algorithm has been tested in node count of 15 and 30 with variable channel and with variable number of receivers. The performance of the network is enhanced compared to the MGMR with variable number of gateway. Optimization based technique if applied for the identification of the optimal node. The simulated results are optimal in all the scenarios. 10 30 2019 5846 5852 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3767.1081219 https://www.ijitee.org/portfolio-item/L37671081219/ Professor, ABES Engineering College, Ghaziabad, (UP), India. Devendra Kumar* Rajesh Kumar Maurya Assistant Professor, ABES Engineering College, Ghaziabad, (UP), India. Kalpana Dwivedi Assistant Professor, ABES Engineering College, Ghaziabad, (UP), India. In this paper we will demonstrates a flexible and dependable home security system with supplementary security using an Arduino microphone, with the ability to connect via Internet Protocol (IP) through local Wi-Fi for remote access and control by an approved user using the app smartphone. IoTs describe the impression of linking and analyzing real-world events using the Internet. The concept can be implemented in our home to create a smart, safe and automated environment. The proposed service, based on IoT, is intended to create intelligent environments using computer vision and NFC computers, which send an online message to the owner in situation of any damage, if necessary raises alarm. Do not assume the power acquired as a result of this system and such an existing system is that warnings from a Wi-Fi-connected system can be accessed from any phone regardless of its eyes, regardless of whether connect phone and internet. The purpose of this model is to ensure a smart and secure environment using latest technology for our home. 10 30 2019 5044 5047 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3771.1081219 https://www.ijitee.org/portfolio-item/L37711081219/ Research Scholar, Dept. of CSE, JNTUA, Anantapuramu, India. B. Vamshi Krishna* Dr. Ajeet Kumar Pandey Delivery Manager, Dept. of RAMS, L&T Technology Services, Bangalore India. Dr. A.P Siva Kumar Asst. Professor, Dept. of CSE, JNTUA, Anantapuramu, India. This paper discusses an efficient algorithm for sentiment classification of online text reviews posted in social networking sites and blogs which are mostly in unstructured and ungrammatical in nature. Model proposed in this paper utilizes support vector machine supervised learning algorithm and fuzzy inference system for enhancing the degree of sentiment polarity of text reviews and providing multilevel polarity categories. Model is also able to predict degree of sentiment polarity of online reviews. The model accuracy is validated on twitter data set and compared with another earlier model. 10 30 2019 5048 5051 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3772.1081219 https://www.ijitee.org/portfolio-item/L37721081219/ Research Scholar, Department of Geography, Gauhati University, Guwahati-14, Assam Azruddin Khan* Manash Jyoti Bhuyan Research Scholar, Department of Geography, Gauhati University, Guwahati-14, Assam. Debashree Borah Research Scholar, Department of Geography, Gauhati University, Guwahati-14, Assam. Land of rivers, India annually faces the perennial problems of flood and siltation basically along the flood plain region since millennia. Situated on a tectonically active zone and transversed by the Brahmaputra and Barak river system, Assam has been recognized as the worst sufferer. Increasing magnitude and devastation of the hazard is much owed due to the great earthquake of 1950 along with both natural and human-induced factors and activities. The regions located at upper Brahmaputra valley are frequently inundated and eroded wiping away vast areas of cropland, properties, and human lives. As such, the Lakhimpur district of Assam faces similar havoc each year with massive destruction leaving many people helpless and homeless. The people living in the rural areas of the district had to struggle hard to sustain their lives and livelihoods and thus, adopted their indigenous or traditional ways and means of coping with the floods. This paper, therefore, attempts to study the causes and impacts of floods caused by the river Singri, a sub-tributary of the Brahmaputra river on the inhabitants of Dolokhat village located in Lakhimpur district. This study also takes into account the differential shifting patterns of the river for a period of 12 years from 2005 to 2017, wherein highest erosion was observed during 2017 eroding 22.60 hectares of land displacing people and livestock. The study was undertaken using both primary and secondary sources of information. Data and information collected have been processed and analyzed using Google Earth Pro, ArcGIS 10.9.2, Microsoft Word and Microsoft Excel. Such information will enable the planners, policy-makers, geomorphologists, etc. in targeted solutions and strategies to initiate measures and mitigate such problems so that the adverse effects of floods could be reduced to a certain extent. 10 30 2019 5365 5369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3774.1081219 https://www.ijitee.org/portfolio-item/L37741081219/ CSE, Sri Venkateswara college of Engineering, Tirupati, India. P. Satish* S. Srinivasulu CSE, Sri Venkateswara college of Engineering, Tirupati, India. Dr.R. Swathi CSE, Sri Venkateshwara College of Engineering, Tirupati, India.. This paper is intended to design and develop an efficient prediction algorithm in the context of forecasting in the precipitation as well as the intensity of the rainfall in a local region over a relative short period of time. Despite of several existing addressing the problem of forecasting rainfall, still it is remind as an open challenge in the context of dynamic data acquisition and aggression. Prediction of rain is main application of science and technology to predict the state of the atmosphere. The main objective of the study is to develop a Genetic Algorithm based approach that utilize dimensionality reduction technique and Multi-layer Perceptron for efficient and dynamic analysis of real time data. Furthermore a deep neural networks based framework is proposed to predict rainfall of a certain region. A Hybrid genetic algorithm presents a novel solution to predicting the rainfall in certain area or different regions by using Deep Neural Network. 10 10 2019 5370 5373 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3777.1081219 https://www.ijitee.org/portfolio-item/L37771081219/ Department of Mechanical Engineering, Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India. Prof. R. S Fegade* Dr. R. G. Tated Department of Mechanical Engineering, Matoshri College of Engineering & Research Center Eklahare, Nashik, India. Dr. R. S. Nehete Department of Mechanical Engineering, SIES Graduate School of Technology, Navi Mumbai, India. To improve productivity and profitability in Aluminium continuous casting industry the main action is to reduce losses due to defects resulting into revenue losses. Improving Rolling Ingot Recovery is possible by reducing the rejections & using the resources effectively (resources MAN, MACHINE, MATERIAL & CAPITAL) by applying TQM technique. This study presents a case about minimizing defects in aluminium continuous casting using Total Quality Management (TQM) techniques in which why-why analysis, Standard Operating Procedures (SOPs),and Cause and Effect analysis is used. It can be concluded from study that rejections, shell zone & inclusion can be reduced by, Continuous monitoring the health of the moulds, quality & quantity of water, the metal casting temperature, metal head in mould, water impingement angle, use of Ceramic foam filter plates, awareness & the adherence towards the guidelines. 10 30 2019 282 289 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3779.1081219 https://www.ijitee.org/portfolio-item/L37791081219/ M..Tech.(CST), Department of CSE, S.R.K.R Engineering College, Bhimavaram, India. B. Sujatha* K.V.S.S.R. Murthy Assistant Professor, Department of Computer Science and Engineering, S.R.K.R.E.C., Bhimavaram, India. Social networks are increased in present days because of communication between different users like Face book, Google and Twitter. Major fundamental issue behind online social networks is control user’s messages in-front of sharing rumor related messages and posts unwanted messages. It is still main challenge to define user’s share other user’s details in social network communication. In this paper, Greedy Heuristic based Advanced Short Text Classifier (GHASTC) used to classify filtering with rumor related classification for multi user’s interaction in social networks. This hybrid approach gives direct control to users to control unwanted data posted on own space. The proposed approach works with rule based filtering system, which consists a customized filtering for unwanted content in online social networks. The experimental results show efficient filtering results with comparison of traditional techniques. 10 30 2019 5374 5377 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3780.1081219 https://www.ijitee.org/portfolio-item/L37801081219/ Birla Institute of Technology and Science - Pilani, Dubai, U.A.E. Lalitha Natraj* Sujala D. Shetty Birla Institute of Technology and Science - Pilani, Dubai, U.A.E. A recent surge in interest to create translation systems inclusive of sign languages is engendered by not only the rapid development of various approaches in the field of machine translation, but also the increased awareness of the struggles of the deaf community to comprehend written English. This paper describes the working of SILANT (SIgn LANguage Translator), a machine translation system that converts English to American Sign Language (ASL) using the principles of Natural Language Processing (NLP) and Deep Learning. The translation of English text is based on transformational rules which generates an intermediate representation which in turn spawns appropriate ASL animations. Although this kind of rule-based translation is notorious for being an accurate yet narrow approach, in this system, we broaden the scope of the translation using a synonym network and paraphrasing module which implements deep learning algorithms. In doing so, we are able to achieve both the accuracy of a rule-based approach and the scale of a deep learning one. 10 30 2019 5378 5383 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3781.1081219 https://www.ijitee.org/portfolio-item/L37811081219/ Bashkir State University, Ufa, Russia. Guzelia Raufovna Asadullina* Natalya Vladimirovna Korovkina Bashkir State University, Ufa, Russia. Evellina Vinerovna Sadretdinova Bashkir State University, Ufa, Russia. Rafael Badretdinovich Shaykhislamov Bashkir State University, Ufa, Russia. Nursafa Gafurovna Hajrullina Industrial University of Tyumen, Tyumen, Russia. The collapse of the USSR led to national and religious intolerance, actualizing the problems of tolerance in the modern world and in Russia. It is believed that intolerance towards members of one or another social community (ethnic, racial, religious, etc.) is shown by those representatives who do not have stable values and attitudes. Therefore, the problem of tolerance is relevant for young people. The article presents the first results of sociological studies conducted by the authors in 2015-2018 in the Republic of Bashkortostan. The region selected for research in terms of socio-economic development is stable and has a special ethnic-sectarian structure of the population. In order to study the features of the formation of civic identity of residents of a multi-ethnic region, in 2016 a survey of 1000 respondents was conducted. This allowed us to determine the indices of tolerance of the population of the Republic of Bashkortostan depending on gender, age and type of settlement. To identify problems associated with interethnic relations and the formation of a tolerant (intolerant) attitude of youth, in 2018 the authors conducted a content analysis of the most popular Internet messengers in the Republic. Content analysis has revealed the manipulative techniques that leading Internet instant messengers resort to. It is shown that these techniques have an impact on the formation of youth's negative attitudes towards representatives of various nationalities living in the republic. Numerous studies record an increase in the time that young people spend on the Internet for entertainment. It is important to encourage modern youth to use the educational, scientific, professional resources of the Internet, which, when used correctly, can help to improve the culture of young Russians. Social technologies for working with youth should be adapted to new technologies in the field of Internet communications. This article was prepared with the financial assistance of the Russian Foundation for Basic Research (RFBR) under project No. 17-03-00863 / 18-OGON "Social technologies for working with youth in the field of interethnic and intersectarian Internet communications. 10 30 2019 5384 5389 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3782.1081219 https://www.ijitee.org/portfolio-item/L37821081219/ Perm State University, Perm, Russia. Vladimir Grigorievich Prudskiy* Andrei Mikhailovich Oshchepkov Perm State University, Perm, Russia. Maxim Aalexandrovich Zhdanov Perm State University, Perm, Russia. The modern approach to the digital economy is conditioned by the forth industrial revolution and the mastering of cyber-physical technologies of the sixth industrial practice. It stimulates appearing new technological and socio-economic conditions of social reproduction, which result in new specific forms organizing the public economy and social management. In order to understand and analyze these new forms, it is necessary to study the evolution of organization as an object of management in detail. Being a socio-economic system, the history of the organization has covered a long way, accompanied by the extinction of old and appearance of new organizational forms. The article also discusses organizational and legal characteristics of future cyber-physical organizations based on the analysis of their evolution as an object of management. Public-private partnership becomes one of the forms to develop an organizational support to integrative cyber-physical, technological and economic processes in the public economy and social management in industrial countries in the 21st century. This partnership also has a potential to become an important competitive advantage of the Russian economy in the conditions of an intensive transition to a digital economy, as it is an integral factor to develop cyber-physical technological chains and digital economic links. This paper aims at analyzing the evolution of organization as a managerial object. It also seeks to work out a theoretical notion of public-private partnership, which should not only be a common project of the state structures and private business to solve separate investment tasks in the infrastructural sphere, but also become a social-economic development factor of a country and its regions. This factor should ensure the growth of a synergetic effect from integrating cyber-physical technological systems and digital managerial and economic structures. The methodological base of this research include such scientific methods as generalization, analysis and synthesis, systematic approach, and the combination of historical and logical approaches. 10 30 2019 5390 5394 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3783.1081219 https://www.ijitee.org/portfolio-item/L37831081219/ Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. Maksim Igorevich Kochergin* Daria Sergeevna Torgaeva Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. Maxim Petrovich Sukhorukov Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. Vyacheslav Mikhailovich Dmitriev Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia. This article discusses peculiar features of simulation of physical and engineering problems, criteria for their efficient simulation in development environment are formulated. Software for simulation of complex dynamic objects is briefly analyzed (as superclass of physical and engineering problems). Provisions of the developed approach to multilevel computer simulation of physical and engineering problems in the frames of multilevel component circuits formalism are described. Peculiar features and capabilities of this approach are exemplified by simulation of forces on polished rod of sucker-rod pump for extraction of petroleum. 10 30 2019 5400 5405 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3787.1081219 https://www.ijitee.org/portfolio-item/L37871081219/ CSE, CVR College of Engineering, Hyderabad, India. S. Suguna Mallika* Dr. D. Rajya Lakshmi CSE, JNTU-UCEN, Narsaraopet, Guntur, India. Mutation testing is one of the oldest and unique testing techniques to perform white box testing of software applications. Code coverage becoming an increasing concern in the testing cycle of software, mutation testing technique aids in achieving higher code coverage and unearthing more number of errors at the testing site itself. The parameters like the database connectivity, session management, cookie management, are the beginning point of web application testing failures given the heterogeneity aspects associated with the development of a web application. A detailed account on list of available testing tools for performing mutation testing are presented here. A big bundle of mutation testing tools are still available, however they are not focussing on some of the crucial web vulnerabilities like session and cookie management in web apps. In the current work, a tool to perform mutation testing of web applications is developed and tested to see if desired results are occurring. An architecture of the tool is designed is discussed and presented. A brief analysis on results is presented. 10 30 2019 5406 5413 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3789.1081219 https://www.ijitee.org/portfolio-item/L37891081219/ School of Information Engineering and Technology, VIT University, Vellore, India Santhosh Kumar SVN* M. Selvi School of Computer Science and Engineering, VIT University Gaythri. A School of Information Engineering and Technology, VIT University, Vellore, India Ruby. D School of Computer Science and Engineering, VIT University Kannan Arputharaj School of Computer Science and Engineering, VIT University, Wireless Sensor Networks (WSNs) is a distributed collection of tiny wireless nodes which forms an ad hoc network dynamically to sense the natural phenomenon and sent it to the control station. Due to the resource constrained nature of WSN, maximizing the nodes life time is main and challenging issue. In this paper, Fitness Function based Routing Protocol (FFBRP) is proposed which provides the optimal routing to increase the life time of nodes in a network. The proposed protocol selects the fitness functions based on the important routing parameters like nodes energy consumption, nodes life time, packet Delivery ratio of nodes, distance between nodes, end to end delay of nodes and routing overhead of nodes. Based on the combination of selected fitness function parameters, the intelligent rules are generated and the optimal routes are discovered to perform energy efficient effective routing in WSN. By doing so, the proposed protocol provides better performance in terms of network life time and has better Quality of Service (QoS) than other existing techniques. The implementation of the proposed scheme is carried out using Network Simulator (NS2) with mannasim framework. Simulation results justifies that, proposed protocol outperforms the existing techniques and has better Packet Delivery Ratio, throughput , network life time, energy consumption, end to end delay and routing overhead . 10 30 2019 5414 5420 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3790081219 https://www.ijitee.org/portfolio-item/L37901081219/ Professor in Avanthi PG College, Dilsukhnagar, Hyderabad, Telangana State, India. Dr. N Renuka* The most significant aspect of derivatives is risk management not about the elimination of risk. For Conducting ordinary mode of business operations financial derivatives affords a powerful tool for limiting risks to the investors. There are various derivative instruments like index futures. Stock futures, index option, stock options, interest rate futures, currency option, currently traded in these exchanges. The derivative investors ought to perceive the market trend, market reforms, government policies, market regulations; factors influencing derivatives investment [Motivating Factors], return, investment opportunities obviously and adequately take prudent investment decisions. The present study investigates the investors perception towards investments in the derivatives market at Hyderabad region. The data were collected through questionnaire survey from 322 respondents in Hyderabad region. 10 30 2019 5421 5428 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L379181219 https://www.ijitee.org/portfolio-item/L37901081219/ Department of Marine Science, Bharathidasan University,Trichy, India. Mohammedali Nellayaputhenpeedika V Radhakrishnan* Department of Marine Science, Bharathidasan University,Trichy, India.. Cyclone is a natural disaster that blows Over Bay of Bengal (BoB) and makes masses of devastation. Assessment of its characteristics and prediction of its mobility are extremely difficult tasks. Wind and pressure are the most significant factors that decide cyclone genesis, propagation and intensity. Physical understanding of the relation between two significant parameters during cyclone is very complicated and is elusive through modelling and prediction. Data sourced from International Best Track Archive for Climate Stewardship (IBTrACS) were analyzed to know wind and pressure relation and cyclone tracking. Cyclone spatial wind pattern is determined using the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2). Analysis shows that wind and pressure are related inversely and is complex in nature. Spatial analysis using MERRA-2 demonstrates asymmetric wind pattern. IBTrACS data (from 2005 to 2016) show the majority of the cyclone intensity is concentrated on north-eastern side of BoB which fact could be attributed to high subsurface heat storage. Inter comparison of different cyclones during the period 2005-2016 was also made and found in support of the wind pressure relation. 10 30 2019 3572 3577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3792.1081219 https://www.ijitee.org/portfolio-item/L37921081219/ FGAOU VPO «North-Caucasus Federal University», Pyatigorsk, Russia. Natalia Grigorievna Bondarenko* Elena Sergeevna Getmanova FGAOU VPO «North-Caucasus Federal University», Pyatigorsk, Russia. Evgeniya Alekseevna Kurenkova Moscow Region State University, Mytishi, Moscow Region, Russia. Elmira Mindyhatovna Karaseva Kostanay branch of Chelyabinsk State University, Kostanay, Kazakhstan. Olga Viktorovna Domnina The Federal State Budgetary Educational Institution of Higher Education Saratov State Law Academy, Saratov, Russia. Natalya Anatolyevna Grigorieva Peoples` Friendship University of Russia, Moscow, Russia. Considering the problems of the dissemination of innovative approaches to the use of information and communication technologies, it is hardly possible to ignore the phenomenon of the high-tech educational environment, which is formed both within the educational institution, the region, the education system of individual countries, and globally. In this regard, it is important to identify trends in the development of information and analytical systems of higher education in the context of the emergence of innovative information and communication platforms, in particular, based on cloud computing. The purpose of the present article is to analyze the possibilities of using cloud computing for integrated information and analytical system of educational resources. The article substantiates the relevance of the use of cloud computing in education, as well as considers the features of cloud-oriented educational environment. Based on an expert survey, the level of application of cloud technologies in the implementation of the educational process, the possible structure of a cloud-oriented integrated automated system (IAS) of the university, and the necessary electronic resources for educational purposes as part of an integrated IAS, are determined. 10 30 2019 3578 3584 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3793.1081219 https://www.ijitee.org/portfolio-item/L37931081219/ Saint Petersburg State University, St. Petersburg, 198504, Russia. Lidiya Alekseevna Bondarenko* Afanasy Vladimirovich Zubov Saint Petersburg State University, St. Petersburg, 198504, Russia. Vyacheslav Borisovich Orlov Saint Petersburg State University, St. Petersburg, 198504, Russia. Nikita Sergeevich Ugegov Saint Petersburg State University, St. Petersburg, 198504, Russia. Leonid Gerasimovich Kolyada Saint Petersburg State University, St. Petersburg, 198504, Russia. The article deals with the issues of the practical application of industrial information system, namely, Enterprise Resource Planning (ERP) in the management of the economy of a diversified agro-industrial complex in the risk farming area. Features of ERP system application are considered taking into account both multidirectional activity of the agricultural enterprise (crop production, animal husbandry, and industrial production), and the complex system of taxation: the presence of a common taxation system and taxation of various activities. Particular attention is paid to the mechanism of closing accounts, and the formation of the actual cost in terms of agricultural production, which is not so much complicated as a laborious and routine task. A huge number of transactions, multiple calculations of the costs distribution bases, the complex structure of the divisions of the very enterprise make the task of automating of process closing period extremely important. The article presents the experience of both the use of ERP system and the training method of specialists in the use of such industrial information systems for automated accounting and management accounting, payroll and personnel accounting, tested at St. Petersburg State University. In consequence of the implementation of the algorithms described in the article, one managed to achieve an increase in both quantitative economic indicators of the agricultural complex, and qualitative indicators, related to the training of specialists in the field of application of ERP systems in agro-industrial complexes. 10 30 2019 3585 3590 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3794.1081219 https://www.ijitee.org/portfolio-item/L37941081219/ Associate Professor, Centre for Research and Innovation, KSRM College of Engineering (Autonomous), Kadpa, Andhra Pradesh, India. T. Mariprasath* K. Ramamohan Reddy Associate Professor, Department of Electrical and Electronics Engineering, Kadpa, Andhra Pradesh, India. Globally, Renewable Energy Resources (RES) are playing a vital role for satisfying energy requirements. Since, RES is more finely comparable to fossil fuels, and it delivers a very low amount of Greenhouse gases. RES includes wind, solar, biomass, tidal and hydropower. Among them, the harnessing rate of energy from solar and wind farm has rapidly increased due to its unlimited amount of renewable energy production, which can be bung in an endless manner. Recent years, solar photovoltaic panels are popular in decentralized power generation whereas the efficiency of panels are affected due to environmental factors such as environmental conditions, atmospheric temperature, deposition of dust and sand particles on solar PV panels. The research proposed a new automatic solar PV cleaning mechanism, respectively. A prototype model has been developed. The cleaning has been performed per day, two times based on LDR signals. Depends on LDR’s commands, DC motor move forward direction when it reaches the relay switch, then motor reveres back to original position. From the experimental validation, the developed model working satisfactory. 10 30 2019 3591 3595 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3796.1081219 https://www.ijitee.org/portfolio-item/L37961081219/ Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia Olga Vladimirovna Letunova* Dmitry Evgenyevich Grigorenko Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia Natalya Valeryevna Fomina Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia Sergey Petrovich Dureev Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia Aleksandr Viktorovich Lonin Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia The purpose of the article is to study the transcendental economic subjects in the economic projects of a conservative type. The authors employ dialectical and metaphysical methods in line with the analysis, synthesis, induction, and deduction. Main results: the transcendental economic subjects act as thinkable, unobservable subjects in the conservative economic projects. The transcendental subjects reveal themselves as an abstract essence of an economic activity. Conclusions: the paper contains the reasoned statement that transcendental subjects assume the necessity to subdue the actual economic reality to the content of a notional project, which is realized through the representation (substitution) of an abstract essence with material phenomena and processes. A transcendental subject can be a project, which serves as a basis for the development of economic plans and programs to implement a conservative-type economic theory. Such a project is aimed at realizing abstract subjects in the form of notional conceptions in the framework of the state economic policy. 10 30 2019 3596 3599 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3797.1081219 https://www.ijitee.org/portfolio-item/L37971081219/ Russian State Social University (RSSU), Moscow, Russian Federation Elena Olegovna Tchinaryan* Maria Sergeyevna Lavrentieva Russian State Social University (RSSU), Moscow, Russian Federation Evgeny Sergeevich Kuchenin Russian State Social University (RSSU), Moscow, Russian Federation Alla Andreevna Neznamova Russian State Social University (RSSU), Moscow, Russian Federation The purpose of the article is to consider issues related to the legal protection of personal data in the European Union (EU). Based on a systematic approach and the method of comparative law, it is determined that the legal mechanisms of the EU most extensively regulate their scope, create a rigid framework for European and foreign companies and world corporations, and introduce independent regulatory authorities. This system of personal data protection is the most progressive at the moment. It is revealed that in the 20th-century mankind has experienced a rapid breakthrough of its development when the vector of technology progress was a reoriented towards information infrastructure, huge in its scale and universal coverage. Digital technologies led to the third industrial revolution, and they have entered into everyday life, both professional and domestic. Finally, the authors came to the conclusion that personal data protection rules are increasingly expanding. The world community has already realized the need to protect personal information, prevent its uncontrolled use, and the need to take sufficient measures to ensure the protection of information about the private life of everyone. Issues of cross-border transfer of personal data have become particularly important, and the trend towards the implementation of regulations on the personal data protection of an extraterritorial nature can be clearly seen. 10 30 2019 3600 3604 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3798.1081219 https://www.ijitee.org/portfolio-item/L37981081219/ Research Scholar, Dept of CSE, KLEF (Deemed to be University), Guntur, Andhrapradesh, India, J.Vijaya Chandra* Dr. Narasimham Challa Dean IQAC and Professor, Dept of CSE, Vignan’s Institute of Technology and Science, Vishakapatnam, A.P., India. Dr.Sai Kiran Pasupuleti Professor, Dept of CSE, KLEF(Deemed to be University), Guntur, Andhrapradesh, India. The objective of this paper is to design and implement machine learning based ensemble algorithm on dataset to fit into the models that can be understood and executed by machines. In this paper we discussed different algorithms and machine learning concepts that can be implemented on the datasets, we taken email spam filter dataset for experiment and analysis, as the Advanced persistent threat the latest threat is intruded using the emails and major intrusion is done through spam emails. Machine learning uses different datamining techniques and mechanisms and accepts the input-data and gives the output as the statistical analysis. We implemented different email classification algorithms on the datasets bsed on spam and ham emails where spear phishing methods are identified and implemented different classification and regression methods to get the accurate results. In this paper for the better results in spite of existing algorithms we introduced the ensemble methods such as boosting, bagging, stacking and voting for much accuracy and higher level of classification and combining different algorithm. This paper will measure different machine learning algorithms performance on spam email filtering on the huge datasets. The framework provides implementation of learning algorithms that you can apply to larger datasets. An obvious approach to making decisions more reliable is to combine the output of different models. We even compared the existing algorithms and proposed algorithm; comparison tables are drawn along with the statistical analysis, data and graphical analysis is given. 10 30 2019 3605 3611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3802.1081219 https://www.ijitee.org/portfolio-item/L38021081219/ Research Scholar, PG & Research Department of Computer Science, Sudharsan College of Arts & Science, Pudukkottai – 622104, Tamilnadu, India. V. Vijayagopal* Dr. K. Prabu Associate Professor, PG & Research Department of Computer Science, Sudharsan College of Arts & Science, Pudukkottai – 622104, Tamilnadu, India. The data dissemination in MANET completely depends on the packet relaying capability attributed by the mobile nodes of the network. This packet relaying potential of the mobile node completely depends on the energy possessed by the mobile nodes. In this paper, a Trust and Energy-Inspired Threshold Packet Relaying Capability Technique (TEITPRCT) is proposed for achieving reliable data forwarding in the network. This proposed TEITPRCT approach utilized the benefits of factors that includes Frequency Index of Interaction (FII), Intimacy Index (II) and Honesty Index (HI) for quantifying the trust attributed by each mobile node in the network. It also inherently estimates the energy possessed by the mobile nodes of the network through the utilization of probe packets. The simulation experiments are conducted using ns-2 based on evaluation metrics that include throughput, latency, and energy consumptions with respect to different mobile nodes of the network. The simulation results proved the potentiality of the proposed TEITPRCT approach over the other benchmarked schemes considered for investigation. 10 30 2019 3612 3617 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3803.1081219 https://www.ijitee.org/portfolio-item/L38031081219/ Department of Electrical and Electronic and Engineering Enugu State University of Science & Technology, Enugu, Nigeria Ilo, Frederick Udebunu* Anumaka Michael Chukwukadibia., Department of Electrical and Electro Akwukwargbu, Isdore Onyema Department of Electrical and Electronic and Engineering, Federal University of Technology, Owerri, Nigeria The main aim of this paper is to enhance the performance of power system distribution in Enugu State Nigeria using distributed Generation System. The main function of power system distribution is to transfer electrical energy to the consumers, while maintaining an acceptable reliability and voltage quality to all customers. It is sad to know that such services is lacking from the Electrical distribution company at Enugu State Nigeria. This paper proposed to setup a centralized plants distributing electricity within the state through Distributed Generation (DG). The implemented DG was abletoreducethe Power Loss from the transmissionanddistribution stations within the state and also improve voltage profile. The author was able to optimize the power generationfrom wind Energy source to the Distribution network and the DG system was able tostabilize the network by normalizing the fluctuating voltage profile at the distribution end of power system. In order to achieve that, the power system network wasmodeled and simulated using MATLAB/SIMULINK software. The results of the simulation with DG system and without DG system were compared. The result from power Network without DG shows instability of per-unit voltage between 0 to 5 seconds and while that from DG system shows stabilization per-unit voltage between 5 to 10 seconds. The total power system Loss without DG system was 2350KW while the power loss with DG system was 1883KW. Hence, the percentage of power system improvement was 11.03%. Therefore from the results, there is reduction of power Loss when DG is applied in the power system. 10 30 2019 3618 3622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3805.1081219 https://www.ijitee.org/portfolio-item/L38051081219/ Department of Electrical and Electronic and Engineering Enugu State University of Science & Technology, Enugu, Nigeria Ilo, Frederick Udebunu* Anumaka, Michael Chukwukadibia. Department of Electrical and Electro Akwukwargbu, Isdore Onyema Department of Electrical and Electronic and Engineering, Federal University of Technology, Owerri, Nigeria The instability of power transmission system in Nigeria is the concern of many individual and that is what this paper wants to address. The first stage was to analyze the effect of static synchronous compensator (STATCOM) on power transmission stability. In doing that, the three phase fault was introduced to the system at line 4-5. The Load flow simulation analysis was carried out according to IEEE 9 bus system. The power transmission system model was developed and simulated using MATLAB/SIMULINK software. The result of the simulation shows that Bus 5 was detected to violate the voltage limit of 0.95 < V< 1.05 p.u. having a voltage magnitude of 0.8875p.u. The per unit Voltage magnitude of power system with STATCOM and without STATCOM was calculated. From the result, the voltage magnitude without STATCOM was 0.8875p.u while that with STATCOM was 1.01p.u. The total active power Loss without STATCOM was 324.02MW while that with STATCOM was 322.53MW. Therefore the percentage of power system improvement is 0.23% when STATCOM was incorporated. Finally, Power transmission system improves when STATCOM was applied. 10 30 2019 3623 3627 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3806.1081219 https://www.ijitee.org/portfolio-item/L38061081219/ Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Alexi Delgado* Alvaro Espinoza Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Patrick Quispe Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Pablo Valverde Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. Ch. Carbajal Administration Program, Universidad de Ciencias y Humanidades, Lima, Peru. Nowadays, it is known that water is a critical issue for human life. For this reason, research in this category is a complex subject. The case chosen for this work is in the district of Tambobamba, Cotabambas province, in the region of Apurimac. This is where Las Bambas mine is operating and the area of influence includes the Challhuahuacho and Ferrobamba rivers. Based on six monitoring points, carried out between February 2017 and March 2019 by ANA, it was possible to know if these rivers would have a low or high degree of contamination. Therefore, the methodology used in this work was the Grey Clustering Method. This method includes vital water parameters established by Peruvian D.S. N° 004-2017-MINAM. The results of these studies show that the Ferrobamba River has a high water quality while the Challhuahuacho River has a poor water quality, which could be associated with spills in the area. 10 30 2019 4427 4432 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3807.1081219 https://www.ijitee.org/portfolio-item/L38071081219/ Research Scientist, University of Petroleum and Energy Studies. Pinisetti Swami Sairam* Ravi Gunupuru Assistant Professor, Dept. of Chemistry, University of Petroleum and Energy Studies, Dehradun, UttraKhand Amritansh Mehrotra Pursuing Bachelor of Tchnology, Electrical Engineering, University of Petroleum and Energy Studies, Dehradun, UttraKhand. Samarth Pratap Singh Pursuing Bachelor of Science, Chemistry, University of Petroleum and Energy Studies. Dehradun, UttraKhand. Jitendra K Pandey Associate Professors, University of Petroleum and Energy Studies. Dehradun, Uttrakhand. Micro Nano Bubble (MNB) have been researched widely for their potental use in different applications such as disinfection, removal of toxic material from water, separation etc. Various parameters such as water temperature, system operating pressure, gas types and gas flow rates contribute in the size of the MNB generated. This research illustrates the influence of various parameters and their significance in size of MNBs generated. Experiments conducted showed that feed gas as a vital parameter for generating bubbles in nano size. 10 30 2019 3628 3630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3808.1081219 https://www.ijitee.org/portfolio-item/L38081081219/ Associate Professor , Fakulti Teknologi Maklumat Dan Komunikasi (FTMK), Universiti Teknikal Malaysia Melaka (UTeM) located in Melaka, Malaysia. Asmala Ahmad* Ummi Kalsom Mohamad Hashim Associate Professor , Fakulti Teknologi Maklumat Dan Komunikasi (FTMK), Universiti Teknikal Malaysia Melaka (UTeM) located in Melaka, Malaysia. Hamzah Sakidin senior lecturer , Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas (UTP) located in Perak, Malaysia. Suliadi Firdaus Sufahani senior lecturer , Faculty of Applied Science and Technology, Universiti Tun Hussein Onn (UTHM) located in Johor, Malaysia Abd Rahman Mat Amin senior lecturer, Faculty of Applied Science, University Technology Mara, Terengganu, Malaysia. Changes in land cover are inevitable phenomena that occur in all parts of the world. Land cover changes can occur due to natural phenomena that include runoff, soil erosion and sedimentation besides man-made phenomena that include deforestation, urbanization and conversion of land covers to suit human needs. Several works on change detection have been carried out elsewhere, however there were lack of effort in analyzing the issues that affect the performance of existing change detection techniques. The study presented in this paper aims to detect changes of land covers by using remote sensing satellite data. The study involves detection of land cover changes using remote sensing techniques. This makes use satellite data taken at different times over a particular area of interest. The data has resolution of 30 m and records surface reflectance at approximately 0.4 to 0.7 micrometers wavelengths. The study area is located in Selangor, Malaysia and occupied with tropical land covers including coastal swamp water, sediment plumes, urban, industry, water, bare land, cleared land, oil palm, rubber and coconut. Initially, region of interests (ROI) were drawn on each of the land covers in order to extract the training pixels. Landsat satellite bands 1, 2, 3, 4, 5 and 7 were then used as the input for the three supervised classification methods namely Support Vector Machine (SVM), Maximum Likelihood (ML) and Neural Network (NN). Different sizes of training pixels were used as the input for the classification methods so that the performance can be better understood. The accuracy of the classifications was then assessed by analyzing the classifications with a set of reference pixels using a confusion matrix. The classification methods were then used to identify the conversion of land cover from year 2000 to 2005 within the study area. The outcomes of the land cover change detection were reported in terms quantitative and qualitative analyses. The study shows that SVM gives a more accurate and realistic land cover change detection compared to ML and NN mainly due to not being much influenced by the size of the training pixels. The findings of the study serve as important input for decision makers in managing natural resources and environment in the tropics systematically and efficiently. 10 30 2019 3631 3636 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3809.1081219 https://www.ijitee.org/portfolio-item/L38091081219/ Associate Professor,PG & Research Department of Mathematics, Quaid-E-Millath Govt College for Women, Chennai Tamilnadu, India. A. Uma Maheswari* A.S. Purnalakshimi PG & Research Department of Mathematics, Quaid-E-Millath Govt College for Women, Chennai, Tamilnadu, India. In this paper, Graph theoretical concepts are applied to analyze the reasons behind Arithmophobia commonly found among the students.Bull graph is used to epitomize Mild Arithmophobia which occurs when the preparation of students to face any test is deficient.Flower graph is used to represent Intense Arithmophobia. Wheel graph is used to depict the factors which desensitize Arithmophobia. Inferring information from these types of graphs is much more easier than inferring from a self map. This analysis will help in treating Arithmophobia and improve the student’s performance in Mathematics progressively. The benefits of using interactive graphical interface, graphs and graph theory metrics for a client centered analysis is also discussed. 10 30 2019 3637 3640 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3812.1081219 https://www.ijitee.org/portfolio-item/L38121081219/ Faculty of Computing, Universiti Malaysia Pahang, Kuantan, Malaysia. Mritha Ramalingam* R. Puviarasi Department of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai, India. Elanchezhian Chinnavan Faculty of Allied Health Professions, AIMST University, Malaysia. How Kok Foong Bachelor of Computer Science, University Malaysia Pahang, Malaysia. With the recent developments in Internet of Things (IoT) and the increase of smartphone users, patient’s health can be monitored without visiting the hospital for medical services. Nowadays, the cost of healthcare is high and insufficient of workforce in the hospital caused the patient unwilling to visit the hospital. The proposed work is to design a monitoring system using sensor and microcontroller to be used by the patients at their place (eg. home). This paper discusses the designing process of the framework. This system will allow the patient to measure their pulse rate and body temperature by using sensors and data collected from the sensor are integrated by using a microcontroller. These acquired patients data could be viewed in mobile application. In addition, the system will provide features such as consultation or chat facility and medical reminder to further improve the feasibility of patients’ health care system. 10 30 2019 3641 3645 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3813.1081219 https://www.ijitee.org/portfolio-item/L38131081219/ Faculty of Computing, Universiti Malaysia Pahang, Kuantan, Malaysia. Mritha Ramalingam* Puviarasi Department of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai, India. Elanchezhian Chinnavan Faculty of Allied Health Professions, AIMST University, Malaysia. Nur Sofea Iznie Binti Johan Bachelor of Computer Science, University Malaysia Pahang, Malaysia. With the expanding number in the elderly populace, as well as the changes in lifestyle emergence that causes several chronic diseases. Stroke is one of the main chronic disease that leads to disability and death. So, it is necessary to monitor the health status of the patients to prevent from fatal disorders. If affected by stroke, in order to improve the function and gain as much independent as possible, the stroke patients have to do some rehabilitation. The selection of medicinal services innovation is promising to improve the personal satisfaction for endless illness patients and the elderly and an individual. This paper proposes a promising innovation by discussing some of the existing, related works. This paper is aimed to develop a system that can measure stroke patients’ vital sign during their rehabilitation using microcontroller and sensor technology. As a result, the system will prevent the patients to suffer from further stroke or fatal. Also, the system will produce alarm as an alert to the assisting person of the patient. 10 30 2019 3646 3649 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3814.1081219 https://www.ijitee.org/portfolio-item/L38141081219/