-74813b3e17f460286df3529 20220722034307889 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 Research Scholar, Suresh Gyan Vihar University, Jaipur (Raj) Prashant Geete* Neeraj Kumar Professor, Suresh Gyan Vihar University, Jaipur (Raj) Sunil K Somani Professor (Vice- Chancellor), Medi-Caps University Indore (M.P) Anshul Gangele Professor, Suresh Gyan Vihar University, Jaipur (Raj) In the present time several techniques have been developed in managing and storing thermal energy. Use of Thermal energy storage systems (TES) are one of the solutions for this issue. Hence in the present work, phase change materials (PCM) are used for storing thermal energy. D-mannitol and Hydroquinone are the two PCM materials used in double pipe heat exchanger and simulations are carried out analytically on ANSYS. Study of temperature variation is done with respect to time and values are calculated for time, t = 200, 500, 2200 and 4200 seconds. The results also include contour plots and numerical values for mass fraction for each of the case. The result shows, that with increase in the time step, the temperature gradually increases for both the cases of PCM materials. 10 30 2019 658 663 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2657.1081219 https://www.ijitee.org/portfolio-item/L26571081219/ Vellore Institute of Technology , Chennai Campus, Chennai (Tamil Nadu), India. S. Dhanasekar* Data have been expanding enormously in latest years, enormous amounts of structured, unstructured and semi-structured information have been produced in various areas around the globe, collectively known as big data. The health sector has produced enormous amounts of heterogeneous information that must be handled and analyzed. In this paper, we discuss about the characteristics of data generated by healthcare and how to manage this data using big data tools. We also explore tools to analyse this data and discuss the implementations of this data. A conceptual architecture of big data analytics is also given, which includes data cleaning, data injection, data management, data mining, data visualization and data analysis. 10 30 2019 54 57 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2658.1081219 https://www.ijitee.org/portfolio-item/L26581081219/ Assistant Professor, Department of Computer Science & Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India. Archana K.S Sobana J Assistant Professor, Department of Information Technology, Rajalakshmi Engineering College ,Anna University, Chennai, Tamil Nadu 602105 India Ebenezer Abishek.B Assistant Professor, Department of Master of Computer Application, SRM Institute of Science and Technology, Chennai, India. Kathiravan M Associate Professor, Department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India. Gopalakrishnan. S Research Scholar Department of Electronics and Communication Engineering, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India. Brain tumor, due to uncontrolled development of abnormal cells, is one of the hazardous illnesses that happen in the brain. A fully automatic brain tissue segmentation using improved k means segmentation is discussed in this paper. Generally the brain tumor tissue can appear at any location at different size and shapes. Manual brain tumor detection is not only time-consuming, it is also linked to human errors and depends on the expertise and experience of a medical pathologist. Automatic detection is required in a computer-aided detection system (CAD) for medical images such as MRI. This automatic detection includes pre-processing, segmentation and medical image classification. The preprocessing techniques eliminate noise. Separate the region of interest from the background picture using the segmentation methods. Finally, the classification is conducted to identify brain tumor automatically. The outcomes are also compared between the suggested method and the current methods. 10 30 2019 664 666 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2660.1081219 https://www.ijitee.org/portfolio-item/L26601081219/ Department of Service Technologies and Technological Education, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Z. V. Smirnova* O.V. Golubeva Department of Service Technologies and Technological Education, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Z.V. Chaykina Department of Service Technologies and Technological Education, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation M.L. Gruzdeva Department of Service Technologies and Technological Education, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation O.T. Cherney Department of Service Technologies and Technological Education, Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation The development of science and technology offers new forms of communication, new types of resolution of abstract and specific tasks, turning the teacher from an authoritarian translator of ready-made ideas into an inspirer of intellectual and creative potential of students. The future of the system of training, which would fit into the scheme student – technology – teacher, in which the teacher does not turn into a teacher-methodologist, technologist, and the student becomes an active participant in the learning process. 10 30 2019 3505 3509 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L266.1081219 https://www.ijitee.org/portfolio-item/L26611081219/ Assistant Professor in Lokmanya Tilak College of Engg, University of Mumbai and currently working toward her PhD degree in SNDT University, Mumbai. Rupali Sawant* Dr. Shikha Nema Professor and HOD in Electronics and Communication Department at Usha Mittal Institute of Technology, (UMIT) SNDT University Mumbai. Efficient resource allocation is an important process in any network to improve the capacity of a system. In cognitive radio network the resources are shared among licensed & unlicensed users. User is said to be in outage if it does not get required number of resources hence performance of the system gets affected. In this paper the outage probability in orthogonal frequency division multiple access (OFDMA) based cooperative cognitive radio network (CCRN) system is computed. Due to random user position different users require different number of resources. To determine this it is necessary to know the signal to interference ratio (SIR) experienced by the user. First we determine characteristic of interference to signal power ratio by using method of moments. Once the interference to signal power ratio is characterized, user is allocated a class number. Class number gives the number of subcarriers required by a user. For analysis purpose we use downlink in underlay mode with log normal shadowing and path loss exponent. This analysis helps in allocation of resources to the user depending on SIR experienced and outage behavior irrespective of user’s position. 10 30 2019 3735 3740 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2662.1081219 https://www.ijitee.org/portfolio-item/L26621081219/ Department of ECE, Mewar University, Gangarar, Rajasthan, India Yahya Mohammed Ali Al-Naamani K. Lokesh Krishna Department of ECE, S. V. College of Engineering, Tirupati, Andhra Pradesh, India Shaik Allabaksh Department of ECE, S. V. College of Engineering, Tirupati, Andhra Pradesh, India T. Shireesha Department of ECE, S. V. College of Engineering, Tirupati, Andhra Pradesh, India G. Rekha Department of ECE, S. V. College of Engineering, Tirupati, Andhra Pradesh, India Practically all electronic systems are realized using integrated circuit(IC) chips. The IC design requires digital signals, but however the physical signals available routinely are either continuous time varying signals or corrupted discrete voltages. These continuous time varying input signals are converted to full voltage swing digital signals by means of a comparator circuit. The comparators use regenerative feedback to transform the output to a full scale digital signal. The core specifications considered in this comparator implementation are power dissipation (PD), propagation delay (tP), output offset voltage and slew rate. The circuit is simulated in CMOS 180nm technology using Tanner EDA tool. The high speed latched comparator circuit is powered with a 1.8V DC power supply and the obtained results show that it operates at 1.67GHz, slew rate is 126 V/μS and the dynamic power dissipation is found to be 0.328mW. 10 30 2019 3741 3745 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2665.1081219 https://www.ijitee.org/portfolio-item/L26651081219/ Department of Civil Engineering, Gokaraju Rangraju institute of Engineering and Technology, Hyderabad, India, Dr. G.V.V SATYANARAYANA* B.V.N RAVI TEJA REDDY Department of Civil Engineering, Gokaraju Rangaraju institute of Engineering and Technology, Hyderabad, India Cement is one of the most significant constituents of concrete. Most of the properties of concrete depend on cement. By calcining argillaceous and calcareous material at a high temperature in cement production. During this procedure, huge amount of Co2 is discharged into the air. India is the second biggest manufacturer of cement on the planet. It is assessed that the generation of one tonne of cement brings about discharge of 0.8 tonne of Co2. The decline in the utilization of cement will lessen the cost of concrete and outpouring of Co2. Dolomite powder acquired by pulverizing rock forming mineral deposit of dolostone can be utilized as a trade material for cement in concrete up to certain percentage. Dolomite powder has a few comparative attributes of cement. Utilizing dolomite powder in cement can diminish the expense of cement and may expand the solidarity somewhat. Dolomite powder is a pozzolonic material which will improve not only the density but also strengthen the hardness of concrete. This paper inspects the likelihood of utilizing dolomite powder as partial substitution material to cement. The substitution rates attempted were 0 to 25% at a regular interval of 5% by weight of cement. The outcome demonstrates that substituting of cement with dolomite powder improves the compressive, split tensile and flexural strength of concrete. 10 30 2019 3510 3513 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2670.1081219 https://www.ijitee.org/portfolio-item/L26701081219/ Assistant Professor in Post Graduate Program in Management – Information Technology at Xavier Institute of Social Service, Ranchi, Jharkhand, India. Dr. Rik Das* Mohammad Arshad Research scholar at department of Master of Computer Application Vinoba Bhave University Hazaribag, Jharkhand, India. Dr. P.K Manjhi Associate Professor at University Department of Mathematics, Vinoba Bhave University, Hazaribag, Jharkhand, India Himanshu Shekhar Mahanta Associated with Post Graduate Program in Management – Information Technology at Xavier Institute of Social Service, Ranchi, Jharkhand, India. Augmented episodes of melanoma, a curable skin cancer variety of antagonistic nature, have stimulated the advancements in designing systems for computer aided diagnosis of the disease. Clinical diagnosis includes primary vetting of the symptoms followed by a biopsy and necessary medical examinations. However, computer based classification of the clinical images of dermoscopy have the potential to diminish the exertion of the dermatologist by offering a computer aided opinion independent of medical know-how. Assorted methods are proposed in recent times including the deep learning techniques for computer based melanoma recognition. But, most of the techniques have enhanced computational overhead which has added to the computational complexity of the entire system. In this work, the authors have attempted to design light-weight feature extraction techniques from high level bit planes of dermoscopic images by ignoring the noisy slices of bit planes for robust feature extraction. The proposed method of feature extraction is tested with three different classifiers for specificity and sensitivity outputs of the dermoscopic images. The results of classification have outclassed the performance of state-of-the-art feature extraction techniques. 10 30 2019 3746 3749 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2673.1081219 https://www.ijitee.org/portfolio-item/L26731081219/ R Asst Professor of Computer Science, Sudharson College of arts and science Pudukkottai Mrs. Bhuvaneswari* Dr. S. Ravichandran HOD and Assit.Prof, Computer Science Department , H.H.The Rajah’s college, Pudukkottai. The increasing usage of internet, online stores and social media has provided the users to express their opinion, attitude and views without any reluctance and fear on the World Wide Web. These opinions expressed by the users can be related to a product or service as well as any global issues. The colossal growth of the web technology has offered the consumers to know more about the products they intend to buy from the existing customer’s reviews. This paper focuses on analyzing the opinion by splitting the positive and negative opinion and then guides the user about the ground truth regarding the performance and quality of the product. The important idea here is to categorize the important features of the product and then accordingly provide the feature wise computation instead of roughly promoting a product as good or bad. 10 30 2019 3750 3754 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org false 10.35940/ijitee.L2675.1081219 https://www.ijitee.org/portfolio-item/L26751081219/ pursuing M.Tech(CSE), Narasaraopet Engineering College, Narasaraopeta, AP – 522601, India. P.Naga Priyanka* Dr.K.Lakshmi Nadh Associate Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India. Dr. S.Siva Nageswara Rao Associate Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, AP -522601, India. The network topology of association was always active but the association between them may not be always connected and properties are restricted. On the time there is a chance of node failures and detecting the node failure is important. Two node failure detection schemes are implemented which are binary and non-binary feedback schemes. These schemes unite locality estimation, localized monitoring and node association. These results are applicable to both attached and detached networks. The schemes accomplish high disappointment discovery rates, low forged positive rates, and low correspondence overhead. 10 30 2019 3755 3758 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2676.1081219 https://www.ijitee.org/portfolio-item/L26761081219/ Co-Ordinator, M.Tech (STE) Program, GRIET, Hyderabad, INDIA Dr.G.V.V. Satyanarayana* CH. Saikiran Pursing Masters, Structural Engineering, Gokaraju Rangaraju institute of Engineering and Technology (GRIET), Hyderabad,INDIA. In present situation, fast urbanization has made a gigantic interest for regular sand consequently made it considerably more costly. Excess extraction of sand ,trending not only depletion of water table but also streams and rivers are diverting in their direction which leads to floods. Elective materials in all types of constructions are acquainted with decrease the weight on normal materials, further maintaining the economical status of project. While additionally dealing with the encompassing condition. Squander Materials like Copper Slag, Flyash, Carbonate Sand, stone residue and so forth having silica sythesis (SiO2) could be utilized as a substitution for Fine aggregate in a concrete mix. In the process of manufacturing copper the bi-product Copper slag is produced in an heavy quantity. Copper slag has an high specific gravity and has glassy granular texture. Copper slag contains the same particle sizes as of fine aggregate so that it can be used as a replacement for fine aggregate in concrete mix. Here in this paper the main objective is to consider the utilization of Copper slag as an elective substitution material of Fine aggregate. Additionally examines the after effect of substitution of Fine aggregate with Copper slag on mechanical characteristics of cement concrete such as Compressive strength and Flexural strength. 10 30 2019 3759 3762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2677.1081219 https://www.ijitee.org/portfolio-item/L26771081219/ Department of ECE, Don Bosco Institute of Technology, Bengaluru, India. Santosh M Nejakar* Dr. Prabhu G Benakop Department of ECE,IIET, Siddipet, India. Dr. S C Biradar Department of ECE, DSATM, Bengaluru, India. Sharanabasappa R R Department ECE, SGU, Kolhapur, India. The imminent 5G cellular verbal exchange machine is expected to own excessive facts fees, low latency and support a massive range of devices. Except for this, gadget type communiqué is anticipated to be treated by way of 5G gadget in a very better and within your means approach. For this reason, forms of waveform applicants are projected. F-OFDM is a few of the projected applicants for 5G systems that extremely resembles to its precursor it's OFDM. The important difference among the two multi carrier waveforms is that the use of a well-designed clear out. F-OFDM as compared with OFDM so provides reduced out of band emission that allows it to utilize the allocated spectrum expeditiously. This analysis paper presents F-OFDM overall performance with absolutely different modulation schemes like QPSK, 16QAM, 64QAM and 256QAM techniques using MATLAB. 10 30 2019 3763 3767 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2681.1081219 https://www.ijitee.org/portfolio-item/L26811081219/ ECE Deptt, Maharaja Surajmal Institute Of Technology, Delhi India. Anshul Pareek* Dr. Nidhi Arora CSE Department, G.D. Goenka University, Gurugram, India. Robust and accurate human tracking using computer vision is acquiring more and more attention, seeking to meet the demands of the increasing number of applications. This paper presents a novel approach to handle occlusion and out of plane rotation. Both these issues are crucial and continue to be a challenge in all state of art algorithms of computer vision-based human tracking. In this paper a SURF oriented scheme based human tracker is proposed, which searches for the target human in expanded rectangular region surrounding the previous target location. There is an online update of object model by selecting fresh templates every time. Here, superimposition of keypoints obtained from previous templates is done on fresh template using Affine transformation. Whether it’s a pose change or not, is affirmed by affine transformation, by calculating aspect ratio of target enclosed region. An Autotuned classifier discriminates the case of occlusion and pose change and confirms tracking failure. The success rate and computational time proves the accomplishment of the proposed algorithm 10 30 2019 3768 3773 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2682.1081219 https://www.ijitee.org/portfolio-item/L26821081219/ College of Teacher Education, Cagayan State University, Lal-lo, Cagayan, Philippines Mia Q. Columbano* The study focused on the development and validation of modules in Basic Mathematics. This was initiated as a response to the need to improve students’ performance which would help develop students’ mathematical ability in comprehending the subject. The study determined the difference between the pre-achievement and post-achievement tests of the students holding constant their attitude towards Mathematics and English 11 grade and how some experts evaluated the module according to its qualitative features. Structured in a quasi-experimental design, the study involved 18 first year college students who got a failing mark in Basic Mathematics. Five Mathematics professors validated the modules. The instruments developed in the study were the achievement test, the 20-item questionnaire for the experts and the 20-item attitudinal test. The statistical tools used were the analysis of covariance, t-test for correlated scores, and the KR20. The pre-test mean score of the students was much lower than the posttest mean score. The students manifested favorable attitude towards Mathematics. Correlation analysis showed that English is not related to posttest achievement of students and the posttest achievement score was significantly influenced by their attitude. On the qualitative features of the prepared modules, they were evaluated to be good and acceptable to the Mathematics teachers. The modules are valid and reliable and could supplement on the learning of concepts. The teaching of Basic Mathematics using the modular approach is an effective approach in enhancing the learning of Mathematics. 10 30 2019 4203 4207 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2684.1081219 https://www.ijitee.org/portfolio-item/L26841081219/ Matt Rajashekar, Computer Science Department, Christ University, Bangalore, India. Praveen Kumar* Importance of higher education and research is becoming more prominent and admission for PhD is increasing year by year in India. Most of the time Research done as part of PhD ends with the submission and acceptance of thesis in Universities. This research future work or extension work might be picked by other PhD candidate in the same or from the different Universities but not sure when it will happen. Also not sure the research completed has achieved its end objective and University is fine to stop that research after spending so much of time and resources of University. This paper insists on continuous research with PhD candidates every year in Universities until the completion of research and scope for reducing the waste of resources and time. This paper considers the importance and effectiveness of Indexing parameters, Indexing agencies, review methods, Journals and relevant concepts. Considering the usefulness and facts of the same to research community building a standard process with procedures to control quality, performance and original research in place, I have built a Research Asset Creation (RAC) model for universities offering PhDs in India by making use of University level Indexing, Indexing parameters, Inter and Intra University peer review methods and University Journal as magazine and as well as Indexing agency. Research cannot be considered just for the award of degree. There is a need for making use of research, resources of University and time spent on research till the objective of the research is accomplished. This can be accomplished by adopting Research Asset Creation model. Complete details of the model, components of the model, implementation, its benefits and usage is discussed in this paper. This is a generalized Model and fit for all Countries which are looking for effective use of research and resources in a progressive manner. 10 30 2019 4208 4212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2685.1081219 https://www.ijitee.org/portfolio-item/L26851081219/ Department of Physical and Socio-Economic Geography, Professor, Dr. Sci. (Geography), National Research Mordovia State University, Saransk, Russia. Arthur M. Nosonov* Natalia V. Letkina Department of English for Professional Communication, Associate Professor, Ph. D. (Philosophy), National Research Mordovia State University, Saransk, Russia. In the modern world, socio-economic and political leadership of a country is based on the generation of new knowledge, its commercialization and use in all areas of human activity, it being an important prerequisite for improving the competitiveness of the state. To achieve this goal, individual elements of the national innovation system including the main components of the innovation infrastructure are being formed in many constituent entities of the Russian Federation. The article discusses an important component of the industrial and technological innovation infrastructure - technology parks. The dynamics of technology parks development in Russia since 1990, their functions, specialization and efficiency of functioning are revealed. The conclusion is made about how the increasing number of technology parks influences on socio-economic and innovative development of the regions in Russia. Further development of regional innovation systems based on the development of technology parks in the field of high technologies is associated with the development of effective marketing mechanisms for the commercialization of innovations, improving the quality of education and its focus on innovation issues. The applied focus of scientific research should be accompanied by the diversification of the innovation-technological complex in accordance with the priority directions of technological development of regions and country. The results of the research can be used by decision makers to substantiate the diversification of regional innovation systems in accordance with the priority directions of the technological development of the country. 10 30 2019 4213 4218 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2691.1081219 https://www.ijitee.org/portfolio-item/L26911081219/ Department of Civil Engineering, Gokaraju Rangraju institute of Engineering and Technology, Hyderabad, India, Dr. G.V.V Satyanarayana* K. Yashwanth Department of Civil Engineering, Gokaraju Rangaraju institute of Engineering and Technology, Hyderabad, India Concrete plays an important role in every construction. This paper is an experimental investigation to study the mechanical properties of the concrete with partial replacement of cement by dolomite powder and fine aggregate by copper slag. So, in this investigation, by usage of Dolomite powder in concrete on one side improves density and other side improves strength and hardness. Copper slag also increases density of concrete and toughness of concrete. The cement content replaced with dolomite and fine aggregate replaced with copper slag from 5% to 25% at regular intervals of 5%. In the designed mix proportion of M30 grade concrete is 1:2.17:2.95. The Superplasticizer Master Rheobuild 920SH of 0.5% dosage used as chemical admixture is added to the concrete to maintain 0.45 the water-cement ratio. The concrete cubes, cylinders were casted. The different mechanical properties like compressive strength, split tensile strength, flexural strength were tested after 3 days, 7 days and 28 days of curing from 5 to 25% at regular intervals of 5% replacement of cement with dolomite powder and 10% to 50% at regular intervals of 10% replacement of fine aggregate with copper slag. 10 30 2019 4219 4223 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2692.1081219 https://www.ijitee.org/portfolio-item/L26921081219/ Department of Design Technology, Faculty of Applied and Creative Arts, UNIMAS, Sarawak, Malaysia. Marzie Hatef Jalil* Siti Shukhaila Shaharuddin Department of Design Technology, Faculty of Applied and Creative Arts, UNIMAS, Sarawak, Malaysia. Eco-fashion clothes offer considerable promise to reduce clothing waste associated with improving consumer profits and the health of the community. The aim of this paper is to explore the consumer purchase behaviour toward Eco-fashion clothes made of recycled materials. The clothing waste is increasing each year and there is a lack of landfill sites for disposing of them. This resulted in governments encourage industries markets to recycle more. However, it is necessary to support the clothing recycling technology program, and the achievement of those markets depends on consumer demand for these products. Hence, understanding consumer behaviour toward Eco-fashion clothes made of recycled materials can provide a basis to develop effective guidelines for disposal and purchase recycled clothes. This study applied the Theory of Planned Behaviour (TPB) as the foundation of the consumer’s behaviour. A two-stage mixed-method approach was explored. Statistical analysis was commenced through direct logistic regression. The model was tested via structural equation modelling (PLS-SEM). Overall, findings reveal that the most significant factor on purchase intention of Eco-fashion clothes is the positive attitude which was followed by the perceived behavioural control and then subjective norms on the construct intention. Furthermore, there is a strong connection to sustainable disposal clothing behaviour and purchase behaviour toward Eco-fashion clothes. Hence, strengthening people attitude in order to purchase Eco-fashion clothes made of recycled contents as a sustainable trend is applicable to help reduction of clothing waste. This happens when people’s need is along with these clothes. The implications of this study can be examined from an educational and managerial perspective to form an effective strategy to encourage an increased rate in the disposal of clothing toward recycling and development policies to improve recycling technology programs. Therefore, it can lead to produce clothes made of recycled materials based on the consumer's needs and distribute them in the fashion market. 10 30 2019 4224 4233 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2693.1081219 https://www.ijitee.org/portfolio-item/L26931081219/ Faculty of Engineering and Technology, Ganpat University, Ganpat Vidyanagar, India. Hiren Prajapati* Bhavesh Patel Faculty of Engineering and Technology, Ganpat University, Ganpat Vidyanagar, India. Many researchers have made attempt to investigate stress concentration factor (SCF) for different discontinuities under different loading conditions and applications, but still failures of components take place which having discontinuities. Number of applications under which the components or parts working under tensile loading. Here, efforts are made to investigate the SCF of flat plate with shoulder fillet under axial tension loading using the approach of Photoelasticity for different D/d ratios. The Finite Element Analysis (FEA) approach used to validate the results of experimentation and found that the results are reasonably at acceptable level. One can utilize the outcome of this research for similar application having same discontinuity and loading condition. 10 30 2019 4234 4244 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2695.1081219 https://www.ijitee.org/portfolio-item/L26951081219/ Information Science and Engg, JSS science and Technological University, Mysuru, India. Navya Damodar* VANI H Y Information Science and Engg, JSS science and Technological University, Mysuru, India. Anusuya M A Computer Science and Engg, JSS science and Technological University, Mysuru, India. This paper presents the use of decision tree and CNN as classifier to classify the emotions from the English and Kannada audio data. The performance of CNN and DT are potential for various emotions. Comparative study of the classifiers using various parameters is presented. The performance of CNN has been identified as the best classifier for emotion recognition. Emotions are recognized with 72% and 63% accuracy using CNN and Decision Tree algorithms respectively. MFCC features are extracted from the audio signals and Model is trained, tested and evaluated accordingly by changing the parameters. Speech Emotion Recognition system is useful in psychiatric diagnosis, lie detection, call centre conversations, customer voice review, voice messages. 10 30 2019 4245 4249 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2698.1081219 https://www.ijitee.org/portfolio-item/L26981081219/ Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India. B. Pavithra* S. Suchitra Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India. S. G. Gino Sophia Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India. Jisha Lia George Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India. Cloud computing has led to the tremendous growth of IT organizations, which serves as the means of delivering services to large number of consumers globally, by providing anywhere, anytime easy access to resources and services. The primary concern over the increasing energy consumption by cloud data centers is mainly due to the massive emission of greenhouse gases, which contaminate the atmosphere and tend to worsen the environmental conditions. The major part of huge energy consumption comes from large servers, high speed storage devices and cooling equipment, present in cloud data centers. These serve as the basis for fulfilling the increasing need for computing resources. These in turn bestow additional cost of resources. The goal is to focus on energy savings through effective utilization of resources. This necessitates the need for developing a green-aware, energy-efficient framework for cloud data center networks. The Software Defined Networking (SDN) are chosen as they aid in studying the behaviour of networks from the overall perspective of software layer, rather than decisions from each individual device, as in case of conventional networks. The central objective of this paper is dedicated to survey on various existing SDN based energy efficient cloud data center networks. 10 30 2019 4250 4256 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2703.1081219 https://www.ijitee.org/portfolio-item/L27031081219/ Research Scholar, Dept of ECE, Shri JJT University, Jhunjhunu-01, Rajasthan, India. M. Ajay Kumar* N. Rajesha Dept of ECE, Malla Reddy Institute of Engg and Tech, Hyderabad-14, T.S, India Anupama Deshpande Dept of ECE, Shri JJT University, Jhunjhunu-01 Rajasthan, India This paper represents the unique system model for cognitive radio based on the energy spotting method to enhance the performance of the accuracy by managing the queue regarding energy-samples and also estimating their average in order to characterize the decision-threshold. Consequently, these typical values summed and estimated over the sum of the samples are repeatedly correlated and analyzed with the recent energy values to determine whether the frequency band is vacant or occupied most accurately. The energy spotting technique’s performance is analyzed and estimated analytically for distinct decision-thresholds. Conventionally Such evaluations interprets that; the advances made to energy spotting algorithm which have enhanced the sensing accuracy in spectrum under the differing signal-to-noise ratio values. Consequently, we shown the utilities and advantages of proposed model that increases the cognitive radio ability. The performance has measured by utilizing the AWGN (Additive White Gaussian Noise) channel and receiver operating-characteristics curves varying under various SNR values alike as: -20 dB, -15 dB, -5 dB, 0 dB, 5db and 10db. With small-tradeoffs among the detection and false-alarm probabilities, the model increases and enhances the ability of spectrum sensing mechanism greatly in the lower SNR situations while tested with number of samples. By that, improving the conventional performance by increasing the sensing accuracy of cognitive radio networks under the low SNR have been the promising achievement of this research work. 10 30 2019 4257 4261 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2704.1081219 https://www.ijitee.org/portfolio-item/L27041081219/ Postgraduation Student, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India. Pogadadanda Prathyusha* Venu Malagavelli Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India. J.S.R. Prasad Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India. Concrete is a building material which is being utilized excessively in the world adjacent to water. The nature is influenced due to the extraction of raw matter and also because of the evolution of gases like CO2. In the ongoing years, there is a speedy growth in the production of waste materials like glass wastes, plastic, Ground Granulated Blast furnace Slag, silica fume, coal ash, wood ash, rice husk ash, etc. Controlling and discarding issues emerge due to these wastes and inflict havoc on the nature. So as to curtail these issues, the waste materials are used as additives or partial substitutions for cement and aggregates in construction field. This paper focuses on strength properties and durability of concrete containing glass fibers by partial substitution of cement and fine aggregate with GGBS and Coal ash respectively. For this work, mix design using IS method is prepared for M30 grade and the tests are conducted for various dosages of glass fibers as 0.5, 1%, 1.5% and 2% by weight of cement. The substitution degree of GGBS is 30% and that of coal ash is 20%. The obtained outcomes are contrasted with conventional concrete. 10 30 2019 4262 4268 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2706.1081219 https://www.ijitee.org/portfolio-item/L27061081219/ Dept. of CSE, CAPGS, BPUT, Rourkela , Odisha, India. Nibedita Adhiakri* Archana Singh Dept of CSE, CAPGS BPUT, Rourkela , Odisha, India, Nirmal Keshari Swain Dept. of CSE, MIT, BBSR, India. This paper attempts to derive the performance properties of the Leafycube (LC) interconnection network. The Leafycube is already observed to have quite superior topological properties in comparison to the other contemporary networks. The various performance parameters of the LC network are studied and compared with the existing HC and its variants. The routing and broadcasting algorithms are proposed and the time complexities are also compared. The paper attempts to evaluate the cost effectiveness, reliability and fault tolerance aspects of LC interconnection network in order to justify the novelty in the design of the proposed structure. The leafy structure helps to retain the original hypercube while improving the node packing density in the interconnection network. 10 30 2019 3163 3170 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2707.1081219 https://www.ijitee.org/portfolio-item/L27071081219/ Department of Computer Science, Bharathiar University, Coimbatore, India. R. Sivakkolundu* Dr. V. Kavitha Professor, Department of PG and Research Department of Computer Applications (MCA), Hindusthan College of Arts and Science, Coimbatore, India. Data warehouse comprises of data collected from different probable heterogeneous resources at different time intervals with the objective of responding to user analytic queries. Big data is a field that helps in analysing and extracting information from large datasets. The unfolding Big Data incorporation inflicts multiple confronts, compromising the feasible business research practice. Heterogeneous resources, high dimensionality and massive volumes that confront Big Data prototype may prevent the effectual data and system integration processes. In this work, we plan to develop a Tobit Regressive based Gaussian Independence Bayes Map Reduce Classifier (TR-GIBMRC) method for categorizing the collected and stored data which helps the users in making decision with minimum time consumption. The TR-GIBMRC method consists of two processes. They are, Tobit Regressive Feature Selection and Gaussian Independence Bayes Map Reduce Classification. Tobit Regressive Feature Selection process is used to select relevant features from collected and stored data. Tobit statistical model, used to describe the relationship between non-negative dependent variable and an independent variable for selecting relevant features. Next, Gaussian Independence Bayes Map Reduce Classifier is used to classify the selected relevant features for decision making with lesser time consumption. Gaussian Independence Bayes Map Reduce Classifier, a probabilistic classifier segments the data by class by measuring the mean and variance of data in each class. The data point gets allocated to the class with minimal variance. This in turn helps to perform efficient data classification for accurate decision making. Experimental evaluation is carried out on the factors such as feature selection rate, classification accuracy, classification time and error rate with respect to number of features and number of data points. 10 30 2019 4269 4280 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2709.1081219 https://www.ijitee.org/portfolio-item/L27091081219/ Assistant Professor, Department of Mathematics, Hindustan Institute of Technology and Science, Chennai, (Tamil Nadu), India. Iyyappan G.* A. K. Singh Assistant Professor, Department of Mathematics Division, Vellore Institute of Technology Chennai, (Tamil Nadu), India. The objective of this paper works is to study, a stability analysis of two dimensional boundary layer forced convection over a fixed vertical plate vary in viscosity and prandtl number with time dependent . The governing equations are transformed to non linear coupled partial differential equations with boundary conditions have been solved numerically by finite difference scheme in combination with quasi-linearization technique with suitable step size along the stream- wise direction. Results are showed different values of mass transfer parameter (A) . It was found that the solutions is stable when increases the suction/injection parameter A. 10 30 2019 4281 4284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2710.1081219 https://www.ijitee.org/portfolio-item/L27101081219/ Research Scholar, Registration Number: 17223152162007, Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli, India. S.Immaculate Shyla* Dr.S.S. Sujatha Department of Computer Applications, S.T.Hindu College, Nagercoil, India Security incidents namely, Denial of service (DoS), scanning, virus, malware code injection, worm and password cracking are becoming common in a cloud environment that affects the company and may produce an economic loss if not detected in time. These problems are handled by presenting an intrusion detection system (IDS) in the cloud. But, the existing cloud IDSs affect from low detection accuracy, high false detection rate and execution time. To tackle these issues, in this paper, gravitational search algorithm based fuzzy Inference system (GSA-FIS) is developed as intrusion detection. In this approach, fuzzy parameters are optimized using GSA. The proposed consist of two modules namely; Possibilistic Fuzzy C-Means (PFCM) algorithm based clustering, training based on GSA-FIS and testing process. Initially, the incoming data are pre-processed and clustered with the help of PFCM. PFCM is detecting the noise of fuzzy c-means clustering (FCM), conquer the coincident cluster problem of Possibilistic Fuzzy C-Means (PCM) and eradicate the row sum constraints of fuzzy Possibilistic c-means clustering (FPCM). After the clustering process, the clustered data are given to the optimized fuzzy Inference system (OFIS). Here, normal and abnormal data are identified by the Fuzzy score, while the training is done by the GSA through optimizing the entire fuzzy system. In this approach, four types of abnormal data are detected namely, probe, Remote to Local (R2L), User to Root (U2R), and DoS. Simulation results show that the performance of the proposed GSA-FIS based IDS outperforms that of the different scheme in terms of precision, recall and F-measure. 10 30 2019 4285 4295 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2711.1081219 https://www.ijitee.org/portfolio-item/L27111081219/ B.Tech. CSE, SRM Institute of Science and Technology, Kattankulathur campus, Chennai, Tamil nadu Siddharth Badyal* Akash Chowdhary B.Tech. CSE, SRM Institute of Science and Technology, Kattankulathur campus, Chennai, Tamil nadu The proposed system is a ledger of student qualifications that aims at making recruitment processes simpler for the universities, recruiters as well as the students. Instead of continuing with the traditional way, of background checks that take even days worth of time and cost a lot of money, we have proposed an instant student background verification service that allows verification of data by recruiters, that has been signed by the university and uploaded to an immutable, secure ledger called the blockchain or as we call it, the Alumnichain. The students simply have to include a code provided to them, to their CVs which can be scanned by the recruiters, to have all student data instantly verified. The data stored on the network is not in plaintext and is encrypted to ensure security against potential data thefts. All this is achieved through a blockchain implementation of the above described use case, which has proved to be a solution to so many problems since its inception, starting with Bitcoin in 2008. 10 30 2019 4296 4299 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2715.1081219 https://www.ijitee.org/portfolio-item/L27151081219/ Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India R.SambaSiva Nayak* M.D. Javeed Ahammed Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India. B. Satyanarayana Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India Nayeemuddin Mohammad Department of ECE, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India In this day and age utilizing convenient gadgets are chiefly being used which turned out to be every day need in our life's in which control utilization is principle situation which requests low power. This should be possible with procedures and principles while planning. To build control utilization through VLSI innovation CMOS (NMOS, PMOS) Transistor circuits are utilized and the sub-micron innovation likewise utilized for the prerequisite of low power gadgets increments altogether. Spillage current and power dispersal in both static and dynamic must be thought about which can bother the gadget execution. This paper presents strategies to lessen the power scattering and different philosophies to expand the speed of gadget. This can be useful in future low power innovation. 10 30 2019 4300 4303 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2716.1081219 https://www.ijitee.org/portfolio-item/L27161081219/ Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia Johnny Ong King NGU* Darrien Yau Seng MAH Department of Civil Engineering, University Malaysia Sarawak (UNIMAS), Kota Samarahan, 94300 Sarawak, Malaysia. Ching Vern LIOW Setia Dimaju Sdn Bhd, No. 2A, Lorong Laichee 1, 96000 Sibu, Sarawak, Malaysia. Ik Tung NGU ITN Construction Sdn Bhd, No. 2A, (1st Floor), Lorong Laichee 1, 96000 Sibu, Sarawak, Malaysia. This study focuses on the possibility of On-Site Stormwater Detention (OSD) underneath a residential car porch. The space provided in the car porch area can be made good of it by introducing an OSD beneath it to temporary store stormwater from roof during raining in hoping of reducing the surface runoff. The OSD is subjected to 15-minute, 10-year Average Recurrence Interval (ARI) design rainfall. This process in urban hydrology is presented by using Storm Water Management Model (SWMM). Efficiency of the OSD is also investigated by different number of orifice outlets. Modelling efforts report that one orifice outlet is preferable, and it marks approximate 95% discharge reduction at the outfall. 10 30 2019 4304 4307 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2718.1081219 https://www.ijitee.org/portfolio-item/L27181081219/ Professor, Marketing and an Avid Researcher in Agribusiness, Agriculture Marketing and Consumer Behavior. B. Poongodi* Navaneetha Krishnan Credit Relationship Manager, HDB Financial Services, Coimbatore. The popularity of security cameras have increased in the last decade and due to the advancement of technology and its need is becoming more and more important due to the increasing crime and theft. The installation of surveillance systems gives home owners and business owners a peace of mind. Though organisations have adopted ICT, very few have adopted any security technologies to secure their infrastructures. It’s crucial for the manufacturers to understand the real customer needs with respect to high technology oriented product offers. Thus this study has focused on the customer buying behaviour towards security surveillance system. The factors which are influenced towards buying the camera with special preference towards the technological factors are generally considered towards buying a security surveillance camera. This research is based on Technology Acceptance Model proposed by Bagozzi, R.P in 2007. The study has included various factors that influence the purchase decision and adoption of new technology i.e. setting up security surveillance systems across different types of customers in the city of Coimbatore in South India. The potential institutional buyers that include Schools, Colleges, Construction Contractors, Restaurants and Showrooms were identified which is the population. In this study the researchers have basically focused on the Safety factor of CCTV camera and the influencing parameter for purchasing of CCTV camera. To analyze all the data, different techniques has been used like Percentage Analysis, one-way ANOVA, chi-square test, Correlation and Exploratory factor analysis. IBM SPSS software package has been employed for statistical analysis. Research Approach: The study is a descriptive research which collected data from the past happening without manipulating or intervening in the study environment. The current status of use and awareness of the security surveillance systems were studied with the identified parameters as it existed. The survey was done in randomly chosen areas from Coimbatore – Tirupur Composite Districts. The survey was done with the institutional buyers with purposive sampling that covered Pollachi, Tirupur, Mettupalayam and Coimbatore city. The proprietors of the institutions or the in-charge of purchase department in organizations and institutes that included schools, colleges, hospitals, construction buildings, office buildings, shopping complexes, etc. formed the population. The researchers devised a questionnaire based on the literature survey. The scales were framed and fine-tuned keeping the objectives of research in mind. The scales developed were checked through a pilot survey before the start of the main survey for its reliability. The Cronbach alpha value is 0.712 and thus the scales developed are reliable. The researchers enumerated the data from the respondents using the questionnaire method that collected primary data. Around 300 respondents were chosen. A purposive sample of 300 institutions, builders, restaurants and showrooms in Coimbatore district was selected and a primary data was collected through direct filling of questionnaire by the respondents. The sampling method used was non-probability sampling method. The technique used in this research was purposive sampling. For this study, the data collection was done by with the intention of the respondent being a prospective buyer. The elements in the sample included educational institutions, hotels, showrooms and builders in and around Coimbatore and Tirupur Cities. A Structured questionnaire was designed and using that questionnaire data was collected from the respondents. Findings: Hikvision is the Brand which was mostly used by the customers. Next to that CP Plus and Doha Comes in to 2nd and 3rd position. It is evident from the analysis that camera resolution is the most influencing parameter while purchasing the surveillance camera. Next to the Brand, Price was the influencing parameter towards purchasing the camera. The usefulness of AHD system is normally distributed. Hence the Average customer rating is 3. The usefulness of IP system is more than the AHD type system since the most of the customer rated 4 and 5. The Influencing Parameter and expectation towards the memory capacity of the camera are dependent on Sector in which the company operates. It was also found that the expectation towards the life cycle of the camera and expectation toward the price of the camera are also dependent on sector in which the Company operates. Correlation Analysis has revealed that preference on the power saving variable is not associated with the preference on innovativeness of the product. There is positive correlation between the Safety factor and the Crime reduction factor. The customers those who feel safe and protected are also feel crime can be reduced. Value: There is positive correlation between warrantee factor and the established integrator. The customer prefers to buying from established integrator are also preferring warrantee feature of the product. There are always general expectations from the clients which is common irrespective of the industry type. 10 30 2019 5829 5835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2720.1081219 https://www.ijitee.org/portfolio-item/L27201081219/ Research Scholar, Department of Computer and Information Technology , Manav Rachna International University, Faridabad, Haryana, India. Ms. Sakshi Jolly Dr. Neha Gupta* PhD, Department of Computer and Information Technology, Manav Rachna International University, Faridabad, Haryana, India. Missing data are depicted as a piece of the qualities in the educational accumulation are either lost or not seen or not open because of customary or non typical reasons. Information with missing characteristics befuddles both the information examination and the convenience of a response for new information. Various experts are dealing with this issue to introduce increasingly present day methods. Notwithstanding the way that different frameworks are available, specialists are confronting burden in searching for a reasonable technique in perspective on non appearance of information about the methodology and their suitability. This investigation paper additionally arranges a formal review of the missing data framework. It examines the strategies that are dismembered in the made works and observations that the makers have made. 10 30 2019 4308 4311 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2722.1081219 https://www.ijitee.org/portfolio-item/L27221081219/ Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai Shraddha Ramdas Bandekar* Vijayalakshmi C* Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology. Chennai Optimization in the field of Operations Research has applications in various industries, be it medicine, business, analytics or education. Likewise Supply Chain Management (SCM) is required in every industry and with the need comes various challenges to get the optimized and best quality solution. There are stochastic, analytical models working on attaining optimization in various sub events involved in SCM. Supply Chain is a network at global level used for delivering of products and services from unprocessed materials to consumers through well-structured and planned flow of information, physical distribution and money. The process of managing this supply chain is Supply Chain Management. A major work on the previous research done using various mathematical models, be it mixed integer linear, nonlinear programming or evolutionary have been depicted in this paper. The aim is to get the best result and comparative approach is focused. This article provides a detailed study on various techniques, algorithms and mathematical models in optimization of SCM and in particular it focuses on Genetic Algorithm (GA) in SCM. 10 30 2019 5072 5079 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2724.1081219 https://www.ijitee.org/portfolio-item/L27241081219/ Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India, Sudhanshu Aggarwal* Kavita Bhatnagar Assistant Professor, Department of Mathematics, Noida Institute of Engineering & Technology, Greater Noida-201306, U.P., India Arti Dua Assistant Professor, Department of Applied Science & Humanities, I.T.S. Engineering College, Greater Noida-201308, U.P., India. Integral transforms have wide applications in the various disciplines of engineering and science to solve the problems of heat transfer, springs, mixing problems, electrical networks, bending of beams, carbon dating problems, Newton’s second law of motion, signal processing, exponential growth and decay problems. In this paper, we will discuss the dualities between Elzaki transform and some useful integral transforms namely Laplace transform, Kamal transform, Aboodh transform, Sumudu transform, Mahgoub (Laplace-Carson) transform, Mohand transform and Sawi transform. To visualize the importance of dualities between Elzaki transform and mention integral transforms, we give tabular presentation of the integral transforms (Laplace transform, Kamal transform, Aboodh transform, Sumudu transform, Mahgoub transform, Mohand transform and Sawi transform) of mostly used basic functions by using mention dualities relations. Results show that the mention integral transforms are strongly related with Elzaki transform. 10 30 2019 4312 4318 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2729.1081219 https://www.ijitee.org/portfolio-item/L27291081219/ Department of Mathematics, Vellore Institute of Technology University, Vellore, India, Tamilnadu Kaviyarasu. M Indhira. K* Department of Mathematics, Vellore Institute of Technology University, Vellore, India, Tamilnadu In this paper, the ideas of fuzzy translation (FT) to F-INK-ideals in INK-algebras are presented. The concept of (FE) fuzzy extensions and (FM) fuzzy multiplications of F-INK-ideals with a few related properties are examined. Additionally, the connections between fuzzy translations, fuzzy extensions (FE) and fuzzy multiplications (FM) of F-INK-ideals are investigated. 10 30 2019 4319 4322 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2730.1081219 https://www.ijitee.org/portfolio-item/L27301081219/ Deptt. Of Computer Science, New Look Girls P G College, Banswara (Raj.) 327001, INDIA Azmat Rana* Prof. N. Lakshmi Department of Physics Mohanlal Sukhadia University, Udaipur (Raj.), INDIA Arun Vaishnav Department of Computer Science, Mohanlal Sukhadia University, Udaipur (Raj) 313001, India. In the past of years of development of digital communication and network communication technology with increase in transferring documents all over the world, the authenticity and ownership of document is also important and challenging to control. To solve these problems so many techniques evolved which comes under transform domain and spatial domain based watermarking techniques. Most commonly used popular digital image watermarking techniques based on Transform Domain are like Discrete Cosine Transformation (DCT), Discrete Fourier Transformation (DFT), Discrete Wavelet Transformation (DWT) and Singular Value Decomposition (SVD) transformations. But with lot of introduced techniques there must be a standard parameterized study required which compares them individually and explain their actual performance. In this paper, we implement watermarking using Transform Domain based techniques DCT, DWT and SVD and compare them practically on standard parameters like imperceptibility & robustness with use of standard attacks. For the analysis of them we take standard images for implementation of digital image watermarking. All work done in Matlab platform. Experimental result shows the performance quality of DCT, DWT and SVD based watermarking techniques with standard quality parameters. 10 30 2019 4323 4331 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2733.1081219 https://www.ijitee.org/portfolio-item/L27331081219/ Research Scholar at GITAM University, Visakhapatnam, Assistant Professor in Department of ECE at MRCET, Secunderabad, Telangana, India. R. Chinna Rao* Dr. D. Elizabath Rani Professor, Department of EIE, GITAM University, Visakhapatnam, Andhrapradesh, India. Dr. S. Srinivasa Rao Professor, Department of ECE, MRCET, Secunderabad, Telangana, India. Analysis of human voice based on its pitch can be used in detecting the pauses. The available algorithms for pause detection could succeed to some extent and lot of scope for better performance still exists. The proposed intelligent pause detection protocol (IPDP) is the convergence of (i) calculation of Mean/RMS peak value from human voice pitch (ii) estimating the pause using MLE algorithm and (iii) optimizing the bandwidth utilization of Vocoders using DTX algorithm. The work carried projects better pause removal than the existing standard methods. 10 30 2019 4332 4336 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2734.1081219 https://www.ijitee.org/portfolio-item/L27341081219/ Full-time faculty member of City College of Calamba under Information Technology Department Sharmaine Justyne R. Manglapuz* Luisito Lolong Lacatan* DEAN of the College of Engineering in AMA UNIVERSITY, Proj. 8, Quezon City Philippines Software quality standards are very significant matters nowadays, especially that this era reigns with software technology and systems to innovate the work process in any institution. Assessments are conducted to measure the quality of services as well as products. This paper focuses on the comparison of the assessment of an existing alumni tracer system and online student portal using ISO/IEC 25010 model, but only seven dimensions was used namely functional suitability, performance efficiency, usability, reliability, security, maintainability and portability. Twenty I.T. experts were invited to test the existing systems and fill in the survey. The results as describe in this paper shows the significant differences of systems as evaluated by the respondents using the ISO/IEC 25010 model. Performance Assessment is very vital to the academic progress of a student. It should be monitored, and evaluated to allow both professors and students create pre-emptive measures to ensure their success rate. This paper focuses on the assessment of the developed system using ISO 25010:2011 Software Quality Management. The following criteria were used Functionality, Usability, Reliability, Portability and Security. 84 respondents comprising of Professors, Department Heads and IT Professionals assessed and evaluated the system through the use of an adapted evaluation tool. The results shown in this paper shows the evaluation of the respondents to the developed system. 10 30 2019 5085 5089 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2735.1081219 https://www.ijitee.org/portfolio-item/L27351081219/ Professor, Department of Mathematics, M. M. (Deemed to be University), Mullana (Ambala) Haryana, India. Deepak Gupta* Sonia Goel Research Scholar, Department of Mathematics, M. M. (Deemed to be University), Mullana (Ambala) Haryana, India. This study presents a solution algorithm for the problem of minimizing the makespan on equipotential parallel machines at every stage in two stage flow shop scheduling model. The processing time of all the jobs on all the two machines is given and the time for which parallel equipotential machines are available is also given. Transportation time for moving the jobs from first machine to second machine is also taken into consideration. A mathematical illustration is also given in support of the algorithm proposed. 10 30 2019 5090 5094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2740.1081219 https://www.ijitee.org/portfolio-item/L27401081219/ Department of Mathematics, Poornima University, Jaipur, India Lalita Mistry* A. M. Khan Department of Mathematics, Jodhpur Institute of Engineering & Technology, Jodhpur, India D. L. Suthar Department of Mathematics, Wollo University, Dessie, Amhara, Ethiopia Dinesh Kumar Department of Mathematics, J.N.V.U Jodhpur, India. In the present paper a new approximate analytical method, the homotopy perturbation and natural transform method namely HPNT is introduced that is blend of the homotopy perturbation method and natural transform method. The proposed method is applied for solution of the non-linear Fokker Planck equation of time fractional order. The correctness and efficacy of the proposed method is verified through graphical method and error analysis. 10 30 2019 5095 5100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2741.1081219 https://www.ijitee.org/portfolio-item/L27411081219/ Department of E & TC, PVG's College of Engineering and Technology Research Scholar, Department of E &TC, AISSMS's Institute of Information and Technology, Kennedy Road, Near R.T.O., Pune: 411001, (Maharashtra), India Madhavi H. Belsare* Dr. Pradeep B. Mane AISSMS Institute of Information and Technology, Kennedy Road, Near R.T.O., Pune: 411001, (Maharashtra), India. Wireless technologies are aiming to improve data rates along with reliability using Multiple Input and Multiple Output(MIMO) systems. The major performance parameter for advanced systems is Bit Error rate (BER). Researchers are working for minimizing the BER for data communication. This paper presents the BER performance of turbo coded Multiple Input Multiple Output (MIMO) system in Nakagami channel. MIMO system is realized using Space Time Block Codes. System performance is analyzed for M-ary Quadrature Amplitude Modulation (QAM) in Nakagami channel. System is implemented using MATLAB code. 4QAM system performs better as far as BER is concerned. The implemented turbo coded system outperforms the uncoded system in case of BER performance. This system can be used for improved performance of data communication in LTE and WiMax. 10 30 2019 5101 5104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2745.1081219 https://www.ijitee.org/portfolio-item/L27451081219/ Assistant Professor, School of computing science and Engineering, Vellore Institute of Technology , Chennai, (Tamil Nadu), India. L. Anand* V. Neelanarayanan School of computing science and Engineering, Vellore Institute of Technology , Chennai, (Tamil Nadu), India. Data Mining is one of the prevalent elucidating portions of programmed request and distinguishing proof. It involves data mining counts and strategies to examine helpful data. Of late, liver dissents have disproportionately expanded and liver infections are complimenting one of the most human pains in different countries. Early assurance of Liver Disorder is essential for the welfare of human culture. This complaint should be considered sincerely by setting up watchful structures for the early break down and expectation of Liver contaminations. The robotized gathering system suffers with non attendance of precision results when differentiated and cautious biopsy. We propose another model for liver issue request for separating the patient's helpful, data using ANN algorithm. The remedial records are organized whether there is a believability of essence of disorder or not. This proposed methodology uses extracted features using M-PSO and ANN for classifying the features. The ANN methodology improves the accuracy when appeared differently in relation to existing request computations. This paper focuses classification of selected features for classification. 10 30 2019 5105 5111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2747.1081219 https://www.ijitee.org/portfolio-item/L27471081219/ Department of CS & IT, M.J.P. Rohilkhand University, Bareilly, India. Sanjeev Kumar* Dr. Ravendra Singh Department of CS & IT, M.J.P. Rohilkhand University, Bareilly, India. Ensemble Classifier provides a promising way to improve the accuracy of classification for sentiment analysis and opinion mining. Ensemble classifier should combine with diverse base classifiers. However, establishing a connection between diversity and accuracy of ensemble classifier is tedious task because of sensitivity between diversity and accuracy. In this paper an Ensemble classifier selection (ECS) framework based on Ant Colony Optimization (ACO) algorithm is presented. The framework provides a subset of base classifiers from a given set of classifiers with maximum possible diversity and accuracy to design an ensemble classifier for sentiment analysis and opinion mining. This framework uses diversity measures and accuracy as selection criteria for classifier selection for ensemble creation. The experimental result shows that the ensemble classifiers provided by this framework presents an efficient way for sentiment analysis and opinion mining. 10 30 2019 5112 5117 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2755.1081219 https://www.ijitee.org/portfolio-item/L27551081219/ P.G.Scholar, Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India. G.Bharath Raj* Dr.G.Sreeram Reddy Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India. Dr. L.Madan Ananda Kumar Dept. of Mechanical Engg., Vidya Jyothi Institute of Technology, Hyderabad, India. Damaged or broken parts are generally too expensive to replace, or no longer available. Re can be defined as ‘systematic evaluation of a product with the purpose of replication. This includes design of a new part, copy of an existing part, recovery of a damaged or broken part, development of model accuracy and inspection of a numerical model. Task is to reproducing the geometries of aero engine physical component in digitizing process through 3D scanning and complete conversion of physical data into CAD model by using modern measuring machines with its integrated software’s (creo 2.0) extractions of information about geometry to develop part models parts which have to be reverse engineered. CMM inspection and reverse engineering software are employed to evaluate any dimension deformations. Deviation in the dimension is taken in to consideration as evaluating characteristics. The error analysis of some features between 3D scan data, CMM, CAD model, and MESH data are performed.Deviation between scan data, CAD model, and CMM are within acceptable limits. And deformation between CAD model and MESH data are within -0.1 to +0.1mm. The CAD model generated is within acceptable criteria (30 microns). 10 30 2019 5118 5122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2757.1081219 https://www.ijitee.org/portfolio-item/L27571081219/ Computer Science and Engineering, Dayananda Sagar Academy of Technology & Management, Bangalore, India. Jahnavi S* C. Nandini Computer Science & Engineering, DayanandaSagar Academy of Technology & Management, Bangalore, India, With the advancement of technology and desire of Digitalization the sensitive data that are transmitted over the internet has to be secured. Since leakage of Information can lead to security theft, which happens in cybercrime. Hence securing the data which we share over the internet is almost as important in fulfilling the desire of digitalization. With this aim visual cryptography techniques are proposed. In the encryption phase of visual cryptography shares of secret data are created to transmit over the channel. And the shares are combined at the decryption phase to regain the original data. Considering one the existing method called RGB based multiple share creation with aid of Elliptical curve cryptography. The drawback of low PSNR value of retrieved image is boosted by adopting RSA in the second stage of encryption and proposed a Novel Visual cryptography Method that results in ∞ PSNR value along with retaining maximum information with PSNR in the retrieved data after attack. 10 30 2019 5123 5129 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2760.1081219 https://www.ijitee.org/portfolio-item/L27601081219/ Associate Professor, Department of Computer Science and Engineering, School of Information Technology and Engineering, VIT-Vellore Institute of Technology, Vellore, (Tamil Nadu), India. Vijayan* V Mareeswari Assistant Professor (Senior), Department of Computer Science and Engineering, School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore, (Tamil Nadu), India. C Navaneethan Associate Professor, Department of Computer Science and Engineering, VIT, Vellore, (Tamil Nadu), India. S Prasanna Associate Professor at School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, (Tamil Nadu), India. K Yaswanth School of Information Technology and Engineering (SITE), Vellore Institute of Technology (VIT), Vellore, (Tamil Nadu), India. While purchasing online products, our priority is to consider online rating regarding the product. Based on the customer rating of products it can be possible to determine their lifetime, sales and that impacts the ability to be maintained at a certain rate or level of a product in the market. The rating is considered as datasets where they are being extracted from E-Commerce websites. In specific, consider the review content, product ratings and divide product lifetime. While collecting the relevant information from our review data we consider the data into two categories as positive data and negative data. When a user posted a review, we consider the keywords to state the review was good or bad and their rating behaviors, these extracted scores can be correlated with their rating with product popularity. The product popularity can be considered by the total number of purchases of the product and the rating given to the product. It also can be analyzed by product ratings that indicate that raters’ ratings are likely to influence product popularity. Taking different e-commerce datasets to extract review content and obtaining relevant information from the review data can analyze and predict the product's early raters and product marketing. 10 30 2019 5130 5136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2761.1081219 https://www.ijitee.org/portfolio-item/L27611081219/ Research Scholar, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur,Dt., Andrapradesh, India Ganesh E. Kondhalkar* Dr. G. Diwakar Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur Dt., Andrapradesh, India, The bearing is very important segment in any rotating machinery. It is continually running under changing speed and load conditions. Failure of bearing frequently results in extensive mechanical downtime that has monetary outcomes. Timely diagnosis of bearing breakdown is to avoid machines failure, as well as to decrease the maintenance cost of machine. To analyze failure of the bearing artificial defect were created on various elements of the bearing and using vibration signature for monitoring its condition analysis is carried.In this paper the effect of various surface defects on the vibration response of outer race and inner race of the ball bearing and Roller bearing is discussed. Vibration spectrum produced by bearing with defect on inner or outer race under different load conditions is taken and effect of defect size and load on the vibration response has been investigated. Results are presented in time and frequency domain. The results obtained by experimentations are compared with MATLAB results. 10 30 2019 5137 5141 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2763.1081219 https://www.ijitee.org/portfolio-item/L27631081219/ Research Scholar, Dept. of Computer Science, MG-NIRSA, Affiliated to University of Mysore, Manasagangotri, Mysore, Karnataka, India. Venkateswarlu Pedakolmi* E. G. Rajan Director, MG-NIRSA; Director, PRC Global Technologies Inc., Ontario, Canada. Nucleotides are organic molecules, which are monomer units that form polymers of nucleic acid ‘deoxyribonucleic acid (DNA)’ and ‘ribonucleic acid (RNA)’. The four nucleotides A, T, G and C get connected by phosphodiester bonds to form strands. Strand formation depends on innumerable factors related to inter and intra cellular parameters and functions. One cannot precisely say that a particular strand gets formed using such and such rules. The infinite possibilities of strand formation cannot be determined experimentally or in the framework of classical genetics. One can alternatively formulate a notion of the “Language of Genomes” wherein one can finitely specify infinite strands. This paper introduces a novel prediction algorithm, which generates possible strands based on available nucleotides statistics. 10 30 2019 5142 5146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2767.1081219 https://www.ijitee.org/portfolio-item/L27671081219/ PhD Scholar, Sant Gadge Baba College of Engg & Technology, Bhambori, ME Heat Power Engineering Mr. Deepak S Patil* Dr. Rahul B. Barjibhe Professor, Shri Sant Gadge Baba College of Engg & Technology, Bhambori, India. Mr. Vipin Chopade Assistant Professor, AISSMS Institute of Information Technology Pune, India. Mr. Sunil Subarao Patil Assitnat Professor, D Y Patil College of Engineering Akurdi Pune, India. As the non-renewable resources are depleting at a lighting speed there will be crisis for requirement of energy in near future. The only alternative is to go for renewable resources. It has been proven that biogas and gasoline can be used with association to reduce the energy demand. As even though electric vehicles are booming in the market, it will take more than a decade to move towards electric world, especially in India. The reason behind that is, the raw material required to make batteries is not at all available with India, so the only option is to export, which imposes additional cost on the country's financial books. And also the tendency of common Indian pupils to shift from IC engine to electric vehicles will incur a high debt. So to reduce the dependency on electric vehicle and also to reduce cost, biogas in the form of compressed natural gas is the only way to come in near future. The motivation of this review work is to produce biogas from food wastes, to purify and store in cylinder used to run vehicles and to analyze the effect of performance and emission characteristics of an engine. 10 30 2019 5147 5152 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2768.1081219 https://www.ijitee.org/portfolio-item/L27681081219/ Research Scholar, Acharya Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh-522510, India. D Ravikiran* S. V Naga Srinivasu Professor, Narasaraopet Engineering College, Narasaraopet, Andhra Pradesh-522601, India. It is essential to maintain a relevant methodology for data fragmentation to employ resources, and thus, it needs to choose an accurate and efficient fragmentation methodology to improve authority of distributed database system. This leads the challenges on data reliability, stable storage space and costs, Communication costs, and security issues. In Distributed database framework, query computation and data privacy plays a vital role over portioned distributed databases such as vertical, horizontal and hybrid models, Privacy of any information is regarded as the essential issue in nowadays hence we show an approach by that we can use privacy preservation over the two parties which are actually distributing their data horizontally or vertically. In this chapter, I present an approach by which the concept of hierarchal clustering applied over the horizontally partitioned data set. We also explain the desired algorithm like hierarchal clustering, algorithms for finding the minimum closest cluster. Furthermore, it explores the performance of Query Computation over portioned databases with the analysis of Efficiency and Privacy. 10 30 2019 5153 5160 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2769.1081219 https://www.ijitee.org/portfolio-item/L27691081219/ Post graduation Student, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad , Telangana, India. Dhanasree* N. Venkat Rao Associate Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad , Telangana, India. P. Ram mohan Rao Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad , Telangana, India. Plain concrete is tough in terms of compression and feeble in tension, which leads to development of cracks in structure. The internal micro cracks in concrete which are formed due to tensile stresses, can be minimized and prevented by the addition of fibers in concrete. This project aims at the enhancement of concrete properties with the intrusion of hybrid fibers, by controlling the effect of cracks. The dosages of fibers are 0%, 1%, 2%, 3%, 4% to the weight of cement. The hybrid fibers used in this work are the combination of synthetic fiber of polypropylene twines of 1 to 2 cm and natural fiber of coconut coir of length 2 to 3 cm. The specimen made up of hybrid fibers and conventional concrete are tested for engineering properties like compressive, split-tensile, flexure strength. A comparative study is done between hybrid concrete and conventional concrete. 10 30 2019 5161 5165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L2770.1081219 https://www.ijitee.org/portfolio-item/L27701081219/