-74813b3e17f460286df-30e3 20220505013203985 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 02 28 2020 9 4 ECE department, Vellore Institute of Technology, Vellore, India. Mohammed Abrar Ahmed* Dr. Malaya Kumar Hota Professor, Department of communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Speech enhancement has been a major challenge in the field of Signal processing. The process of filtering the noise component from the speech signal has achieved many milestones since the early 20th century. Beside many theories Linear prediction coding is one of the best methods for speech, audio signal processing which uses the algorithm of predicting the current estimates based on the past states of an LTI system. Linear prediction is usually used in Speech recognition, Speech enhancement. One of such Kalman filter was introduced and described in 1960 by Rudolf Kalman, which uses the concept of linear quadratic estimation. Kalman filtering is effectively being used in the practical applications like navigation of ships or aircraft, designing motion planning algorithms, in communication area. Kalman filters use the autoregression model of speech for the recursive equations of Kalman filter used in state space model of filter for state estimation. In this paper, we have used Kalman filter to eliminate the pink noise from the corrupted speech signal. Pink noise is very common in electronic devices and occurs in almost all devices. The Speech corrupted with pink noise has been obtained from SpEAR database. We have used MATLAB software for the simulation purpose. Finally, Spectrograms of signals are plotted for a better visual understanding of filtered results. 02 28 2020 2034 2038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8578.029420 https://www.ijitee.org/portfolio-item/C8578019320/ Faculty of Engineering, Univ.Dayanu Ikhsanuddin, jl Yos Sudharso no 43 Bau-Bau. 93717 Indonesia M.T. Gunawan* Bambang Haryadi Faculty of Engineering, Univ. Negeri Semarang, Jalan Sekaran, Gunung Pati, Sekaran, Gn. Pati, Kota Semarang, Jawa Tengah 50229, Indonesia Bagus Hario Setiadji Department of Civil Engineering, Univ. Diponegoro, Jl. Prof. Soedarto, Tembalang, Kota Semarang, Jawa Tengah 50275, Indonesia Large urban areas require a reliable multi-modal transport system to serve the needs of urban commuters. Urban public transport is currently still considered minimal by users of Multi mode (public transport). This has an impact on the dominance of single private modes, especially Single mode (motorcycles) that impact on city congestion, a mode that today can still be relied upon by urban commuters, to meet expectations in terms of quality of service, cost, time, experience and accessible only commuter trains. It takes effort to divert the end-user of the motorcycle to the final destination to switch to motorcycle over commuter train to get to the final destination. The study focuses on improving the comprehension of influencing factors, opportunities and models on the choice of single mode modes of multi mode switching, using the Binary Logistic Regression method with Stated Preference survey. The results Single mode user community in Surabaya and Sidoarjo willing to use the multi mode in case of improvement of service quality, affordable travel costs, travel time is adequate, and acces is enjoyable. 02 28 2020 1343 1348 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8584.029420 https://www.ijitee.org/portfolio-item/C8584019320/ Associate Professor, Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India. N Prabhu Kishore* M. Venkateswar Reddy HOD and Associate Professor, Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, , India. Alekhya N Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, , India. Among various alternative fuels, waste plastic oil produced from plastic wastes has gained a lot of attention. Diesel along with antioxidant and cetane improver has been analyzed in this study. This trial work dissects the utilization of 100%, 50% of Waste Plastic Oil (WPO) and 48% of Waste Plastic Oil with1% L-ascorbic acid + 1% di-tert-butyl peroxide in diesel engine. For this reason, WPO was created in an exploration office scale arrangement by pyrolysis strategy. Diesel engine tried with WPO with diesel and additives blends and the results were contrasted and diesel. A result verifies the goal of this investigation and indicates improvement in execution and decrease in explicit fuel usage. The decrease in outflow was seen in additives influences on diesel engine than that of wpo diesel blended fuelled diesel engine. 02 28 2020 1616 1619 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8590.029420 https://www.ijitee.org/portfolio-item/C8590019320/ Department of Electronics & Tele-communication Engineering,Dnyanshree institute of engineering & technology satara MH, India Sucheta M. Pawar* Manisha A. Sargar Department of Electronics & Tele-communication Engineering,Dnyanshree institute of engineering & technology satara MH, India. Neha V. Khandait Department of Electronics & Tele-communication Engineering,Dnyanshree institute of engineering & technology satara MH, India. Fractal reception apparatuses have been appeared to exhibit monotonous multi-band or log-intermittent conduct that has been ascribed to the self-comparable scale factor of the recieving wire's geometry. This geometry, which has been utilized to display complex articles found in nature, for example, mists and coastlines, has space filling properties that can be used to scale down reception apparatuses. These exceptional properties of fractals have been abused to build up another class of recieving wire component plans to have a few profoundly attractive properties, including multiband execution, low side flap levels, and its capacity to create quick shaft framing calculations dependent on the recursive idea of fractals. There are a few focal points of these fractal gadgets including decrease of full frequencies, littler size and broadband width. In this paper, another structure of fractal tree recieving wire Arrays dependent on ternary fractal tree geometry for meet the addition or radiation design prerequisites is proposed.Farctal tree radio wire exhibits are plan with two for gain improvement and radiation pattern.Fractal tree reception apparatus clusters upgrade the increase upto 10 dB. 02 28 2020 3184 3189 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8595.029420 https://www.ijitee.org/portfolio-item/C8595019320/ Faculty of Computer Science,MercuBuana University Jakarta, Indonesia Ifan Prihandi* Anita Ratnasari Faculty of Computer Science,MercuBuana University Jakarta, Indonesia. Indra Ranggadara Faculty of Computer Science,MercuBuana University Jakarta, Indonesia. An information system audit is a way to check and assess needs and assess the extent to which information systems can answer a need in the production process. Production is the core activity of a company. In the production system occurs an input of raw materials, raw materials processing, and output of the process of making these raw materials. In this research object selected is PT. Tunas Alfin Tbk. PT. Tunas Alfin Tbk is a manufacturer of printing and packing for food and no food products that stood since 1977. Dives more than 25 years old and supported by technology and capabilities with attention to and improve product quality, hygienist, and food safety the production process at PT. TUNAS ALFIN TBK utilizes information technology to run its business, and the company realizes that using IT in business operations will assist in their production management process to produce maximum output. Therefore, the need for Information System evaluation to be a benchmark. Whether the application of IT in production has been applied correctly or not. The information audit method to be used is COBIT 5 with the DSS domain (Deliver, Service, and Support). where the COBIT 5 model of management standards has received full recognition, developed by the Information Technology Governance Institute (ITGI) and the Information System Audit Control Association (ISACA). 01 28 2020 678 681 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8619.029420 https://www.ijitee.org/portfolio-item/C8619019320/ Professor, S R Engineering College, Warangal. T. Sathanandham* S. Haripriya Assistant Professor, S R Engineering College, Warangal N. Prabhanjan Assistant Professor, S R Engineering College, Warangal G. Sahithi Assistant Professor, S R Engineering College, Warangal G. Swamy yadav Assistant Professor, S R Engineering College, Warangal Dara Swetha Sudharshan Assistant Professor, S R Engineering College, Warangal The study investigated by the reuse of wastewater lime sludge is replaced for cement and addition of polypropylene fiber in the production of concrete for external use. The textile wastewater covers the cotton dyeing and printing operations. Nowadays the demand of cement has concern increased. This will contribute to increased cement production because of the cement industry is one of the major subscribers of carbon dioxide emission [15-18]. This work is directed towards developing low cost concrete from wastewater treatment plant. The study utilized in the sludge-cement replacement percentages of 10%, 20%, 30%, 40% and 50% by weight of cement. The test conducted on concrete examines were slump test, compaction factor test and then the mechanical properties on cube, cylinder, Beam and also NDT tests. Finally, the study concluded that the dry sludge can be used in as an improver to concrete mixture till up to 30%. Many more researches are needed to evaluate the durability of sludge concrete and the performance of reinforced sludge concrete. 02 28 2020 2827 2830 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8623.029420 https://www.ijitee.org/portfolio-item/C8623019320/ Power Electronics and Drives, AISSMS’s IOIT, Pune, India. Jithin C.J* Nilesh B. Rohankar Power Electronics and Drives, AISSMS’s IOIT, Pune, India Shashikant Madhukar Bakre Professor in Electrical Engineering Department at AISSMS’s IOIT, Pune. India Sachin V. Shelar Assistant Professor in the Department of Electrical Engineering at AISSMS’s IOIT, Pune. India Ashpana Shiralkar Head of Department, Electrical Engineering, AISSMS’s IOIT, Pune, India The inclusion of renewable energy in India’s electricity mix has been increased dramatically in the past several years. From an environmental, energy security and long-term cost standpoint, this evolving trend is undoubtedly welcome. Solar energy has rapidly emerged as a reliable, affordable and clean solution for meeting India’s fast growing energy demand and supply to all. But connecting PV plant DC power with the AC grid is difficult because of tripping, not properly synchronizing. In this paper the development of PV array model, their integration, power quality assessment and Simulink implementation are described. Modeling concept presented in this paper can easily be extended and used for scalability purpose. System consist of solar arrays, MPPT, IGBT inverter and transformer. First, the field parameters has been measured and analyzed by using Fluke Power Analyzer, then exact field modeling and simulation of cluster model of 1.6 MW grid (agricultural feeder)connected PV based solar power plant using MATLAB Simulink R2019A is made in which Maximum Power Point Tracking technique(MPPT) for obtaining maximum possible power output is used, and in MPPT we have used Perturb and Observe method. The ideal values getting from MATLAB Simulation and the real time values of the PV Plant measured by fluke power analyzer are compared and analyzed, then an efficient systems can be modeled for proper synchronization with the grid. 02 28 2020 72 76 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8634.029420 https://www.ijitee.org/portfolio-item/C8634109320/ Research Scholar, Department of Electronics and Communication Engineering, Dr. Ambedkar Institute of Technology, Bengaluru, 560056, Karnataka, India. Mohankumar V.* Dr. G. V. Jayaramaiah Professor and Head Department of Electrical and Electronics Engineering, Dr. Ambedkar Institute of Technology, Bengakuru-560056, Karnataka, India The portability of power for human health monitoring is considered a challenge for years to come and the recent development in wearable devices has encouraged this research area. This paper develops a composite energy harvesting paradigm that combines piezoelectricity and electromechanical energy production to energize the storage batteries powering wearable devices. A composite mathematical model that combines the piezoelectric process along with the electromechanical process comprising the piston action is developed using MatlabTM. The piezoelectric power is considered to be generated from the pressure created by human weight on it while walking and electromechanical power generated from the limb movement of the human being. The energy thus harvested from both these inputs are consolidated and fed to charge the batteries that feed the wearable sensors. The Lithium-Ion battery of 1.2V rated voltage is charged using the power generated from the mathematical models of both the piezoelectric and electromechanical power generation. The energy generated is found to be satisfactorily charging the battery. 02 28 2020 1161 1165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8667.029420 https://www.ijitee.org/portfolio-item/C8667019320/ Dept Computer Science, University of Madras, Chennai (Tamil Nadu) India. P.L. Chithra* K. Sathya Dept.of.Computer Science, University of Madras, Chennai (Tamil Nadu) India. Nowadays, protecting sensitive factual information from hackers when it is transmitted over the broad network to communicate around the world is a huge task. To provide secure online transactions, communication, and business, researchers are insisted to develop novel security techniques. One of these approaches is on the basis of encrypting a plaintext will be in ciphertext by applying some mathematical models. This paper suggested a modified Blowfish algorithm with Fermat’s Little Theorem to provide an additional layer of security for sensitive information while sending over a non-secure channel. The performance analysis of Modified Blowfish Algorithm and Fermat’s Little Theorem (BFLT) encryption algorithm reveals consumption of memory, time consumption for encrypting and decrypting by comparing with the standard encryption algorithm. According to the analysis, this proposed encryption algorithm provides significantly upper level of performance and security and BFLT can be used for real-time implementations. 02 28 2020 1188 1192 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8684.029420 https://www.ijitee.org/portfolio-item/C8684019320/ Research Scholar, Department of Computer Science and Engineering, VTU RRC Belgaum, Karnataka, India. Vidhya K.* Dr. Mala C. Patil Department of Computer Science, University Of Horticultural Sciences, Bagalkot, Karnataka, India. Dr. Siddanagouda S. Patil Department Of Computer Science and Engineering, UAS, GKVK, Bangluru, Karnataka, India. Medical image analysis plays a more and more major role in medicine. Detection and analysis of risks causing cancer and other medical issues in early-stage help to prevent death. PET, CT, X-ray and MRI are the medical imagining techniques used. There have been a number of researches have done on constructing the 3D model for better analysis of the structure. The paper is proposed about the construction of a 3D brain model using 2D slices of MRI. The 3 different images of the brain are considered (T1, T2 and PD). The image registration is applied to T1, T2 and PD and fusion is done. The fused image includes of the complete detail of the brain, these 2D slices are used to construct the 3D model. The 3D map is created and surface to volume construction is applied to build the 3D model. 02 28 2020 2889 2883 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8692.029420 https://www.ijitee.org/portfolio-item/C8692019320/ Assistant Professor, Department of CE, S R Engineering College, Ananth sagar,Warangal,(TS) India. E.Laxmi presanna* G Swamy Yadav Assistant Professor, Department of CE, S R Engineering College, Ananth sagar,Warangal,(TS) India. Kalyani patil Assistant Professor, Department of CE, Lingappa Nisty Engineering College, Bidar, (karnataka) India. Shivanand Jalade Assistant Professor, Department of CE, Lingappa Nisty Engineering College, Bidar,(karnataka) India. A. Priyanka Assistant Professor, Department of CE, QIS College of engineering and technology, ongole, (andhrapradesh) India. This research work mainly focus on feasibility of incorporating rubber tyre cubical chips as a partial replacement or natural aggregates in concrete. Little work is done using rubberized concrete for normal strength. Here an attempt is made to compare the strength of high strength concrete for different % of rubber aggregates. Experimental program consists of testing the different parameter of the materials used like cement, sand, and aggregate. In the present investigation the mechanical strength like compressive strength, flexural strength, split tensile strength are compared with the rubberized concrete using 20mm single size rubber pieces as replacement to natural aggregate. Replacing by 5%, 10%, 15% and 20%. And there results were checked with reference to conventional concrete and the amount of variation in the strength is studied. 02 28 2020 2039 2043 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8756.029420 https://www.ijitee.org/portfolio-item/C8756019320/ Department of EEE,Sathyabama Institute of science and technology since 2007, Chennai, India A. Ramesh Babu V. Geetha* Department of EEE, Sathyabama Institute of science and technology since 2007, Chennai, India. V. Sivachidambaranathan HOD/EEE, Sathyabama Institute of science and technology since 1994, Chennai, India D.N.S Ravi Kumar Department of EEE,Sathyabama Institute of science and technology since 2007, Chennai, India The paper deals with improvingthe power factor in permanent magnet HUB motor by using Bridgeless SEPIC converter. The input voltage of the HUB motor is controlled to ensure the smooth operation of electric motor. The wide range of input voltage is demonstrated by controlling the speed of the HUB motor using fuzzy controller. Comparative analysis of SEPIC and CUK fed HUB motor is simulated for power factor correction. A SEPIC converter with power factor of 0.939 is achieved and examined with an experimental setup. 02 28 2020 319 324 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8758.029420 https://www.ijitee.org/portfolio-item/C8758019320/ Pursuing PH.D Visvesvaraya Technological University, Belagavi. Karnataka, India. Sampath kumar .V. Patil* Dr. S BShiva kuar Head, RYMEC, Bellary, Karnataka, India. Paper proposes with the optimal design methodology to optimize the configuration of hybrid energy system.Due to cost effectiveness and realibility we use hybrid systems. Here it represents Wind-Turbine/PV as a Hybrid RES because of its several advantages. To enable quality power delivery and reliable power transmission, Battery Energy storage plays an imp role also called Energy Management System (EMS) plays decisive role. Load side variation often causes power outage and even faults in overall grid network. To alleviate such issues, in this research paper a load sensitive adaptive-Energy Management model is developed that considers both Output side variations as well as Input generation patterns. Here used an algorithms such as Adaptive Genetic Algorithm (AGA),FlowerPollunationAlgorithm,Hyper Spherical Search and Particle Swarm Optimization for Optimzing an Hybrid Renewable energy system. 02 28 2020 682 686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8765.029420 https://www.ijitee.org/portfolio-item/C8765019320/ Ph.D*, Professor, Department of Personalized Web systems Chouaib Doukkali University, ElJadida, Morocco. Anas El-Ansari Abderrahim Beni-Hssane Ph.D, Professor Department Of Computer Science, Mohamed V University, Rabat, Morocco. Mostafa Saadi Ph.D, Professor ,Faculty of Sciences, Chouaïb Doukkali University, ElJadida, Morocco. Personalized Web Applications aim to improve the user's browsing experience by offering customized products and services based on his preferences and needs. A key feature of a successful personalization system is building profiles that accurately express the real interests and needs of each user. In this work, we focus on creating accurate, complete and dynamic profiles by capturing and tracking the users’ browsing activities. Moreover, we implement techniques to increase the accuracy of the retrieved user profiles by collecting more browsing data, identifying the most important concepts and removing irrelevant ones, and the number of levels from the concept hierarchy in the reference ontology that we should use to efficiently represent the users’ reel interests and needs. The result is a complete, dynamic, and accurate user profile that can be used to give users better-personalized browsing experience. 02 28 2020 769 774 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8776.029420 https://www.ijitee.org/portfolio-item/C8776019320/ Electrical Engineering Department, Delhi Technological University, Delhi, India. Manoj Kumar D. R. Bhaskar* Electronics and Communication Engineering Department, Delhi Technological University, Delhi, India. Pragati Kumar Electrical Engineering Department, Delhi Technological University, Delhi, India. A multifunction voltage mode fractional order filter structure is described using a single current feedback operational amplifier (CFOA). This configuration realizes three fractional order filters (FOFs) namely fractional order low pass (FOLP), fractional order band pass (FOBP) and fractional order high pass (FOHP) filters. The performance of the proposed structure has been verified through PSPICE and MATLAB simulation results using macro model of AD844 type CFOA. 02 28 2020 687 691 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8808.029420 https://www.ijitee.org/portfolio-item/C8808019320/ Asst. Professor / EEE, CK College of Engineering and Technology, Cuddalore, Tamil Nadu, India. P. Narasimman* Dr. R. Sathish kumar Associate Professor Department of Electrical and Electronics Engineering. Pragati Engineering College, Andhra Pradesh, India. N. Priya Asst. Professor / EEE, Periyar Maniammai Institute of Science & Technology, Thanjavur, Tamil Nadu, India. Single-Phase AC-DC-AC converters are employed in vast of applications such as UPS Systems, Motor Drives, Yaw Drives, Traction and Micro Grids. This paper introduces an incipient topology for multilevel inverter based Single-Phase AC-DC-AC converter for different types of loads. The suggested converter consists of two phases; a full bridge rectifier that converts AC supply to DC supply and a multilevel inverter that converts DC supply to AC supply cascaded into a rectifier. For the proposed system, the multilevel inverter is chosen as it raises the voltage output level and thus diminishes the Total Harmonic Distortion (THD). The converter suggested here effectively reduces the harmonics in the output voltage and using Multilevel Inverter, reduces THD in the AC-DC-AC converter. The simulation outcomes are acquired from MATLAB®Simulink platform and a hardware prototype of the inverter is done. 02 28 2020 692 696 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8814.029420 https://www.ijitee.org/portfolio-item/C8814019320/ Assistant Professor, Department of Information Technology at Shri Ramdeobaba College of Engineering and Management, Nagpur, India. Rohini H. Joshi* The paper is concerned with predicting the result of a League and creating Strategies from gathered data using Machine Learning and Artificial Intelligence algorithms. Here we are taking data set from the real life game stats and from the massive multiplayer game series FIFA and PES. We will start by creating a web crawler to collect data-set and compare both the real world data and virtual data (Online game data) to predict the outcome of the match using supervised and unsupervised learning. Using K means clustering to segregate between different types of players such as offensive players, defensive players and goalkeepers using game data, then normalizing the virtual features to predict team strategies. We will use different models like Gaussian Naive Bayes, Hidden Markov model, Linear SVM etc. to reduce the error rates and increasing our accuracy to predict matches. This implementation can help all the teams to devise strategies for opposing team by knowing their strategies. This can also help to predict the winner of the league outcome. This prediction model can also be used in predicting Stock Market, Coaching improvements, journalism etc. 02 28 2020 873 877 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8823.029420 https://www.ijitee.org/portfolio-item/C8823019320/ Mechanical Engineering Department, Government Polytechnic, Srikakulam, India. K. Raju* Prof K Venkata Subbaiah Mechanical Engineering Department, Andhra University, Visakhapatnam, India. In the present study, Response Surface Methodology (RSM) is implemented to determine optimum process variables of TIG welding of Incoly-800HT sheets. Voltage, Welding current and speed of welding are considered as factors. Ultimate tensile strength at room temperature, yield strength at room temperature, ultimate tensile strength at 7500C, yield strength at 7500C and toughness are considered as responses. The Design of Experiment based on central composite response surface design, experimenting is formulated using the Design Expert 12 software. Grey Relational Analysis (GRA) carried on the responses and grey relational coefficients are calculated. The grey relational coefficients are subjected to Principal Component Analysis (PCA) using PAST 3.26 software that transforms the five responses into a single response. The optimization of parameters is carried by Response Surface Methodology and contribution by each input parameter is estimated by ANOVA (Analysis of Variance). 02 28 2020 775 784 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8830.029420 https://www.ijitee.org/portfolio-item/C8830019320/ Department of CSE, SSN College of Engineering, Chennai, India. Bharathi B* Bhuvana J Department of CSE, SSN College of Engineering, Chennai, India. Activity recognition in humans is one of the active challenges that finds its application in numerous fields such as, medical health care, military, manufacturing, assistive techniques and gaming. Due to the advancements in technologies the usage of smartphones in human lives become inevitable. The sensors in the smartphones help us to measure the essential vital parameters. These measured parameters enable us to monitor the activities of humans, which we call as human activity recognition. In this paper, we have proposed an automatic human activity recognition system that independently recognizes the actions of the humans. Four deep learning approaches and thirteen different machine learning classifiers such as Multilayer Perceptron, Random Forest, Support Vector Machine, Decision Tree Classifier, AdaBoost Classifier, Gradient Boosting Classifier and others are applied to identify the efficient classifier for human activity recognition. Our proposed system is able to recognize the activities such as Laying, Sitting, Standing, Walking, Walking downstairs and Walking upstairs. Benchmark dataset has been used to evaluate all the classifiers implemented. We have investigated all these classifiers to identify a best suitable classifier for this dataset. The results obtained show that, the Multilayer Perceptron has obtained 98.46% of overall accuracy in detecting the activities. The second-best performance was observed when the classifiers are combined together. 02 28 2020 2460 2466 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8835.029420 https://www.ijitee.org/portfolio-item/C8835019320/ SC & SS, Jawaharlal Nehru University, New Delhi, India. Anant Kumar Jayswal* Prof. Prem Chand Saxena SC & SS, Jawaharlal Nehru University, New Delhi, India. Cloud computing, one of the fastest growing fields, is the the delivery of computing resources and services. Load balancing is a key problem in cloud computing (CC) that deals with the even distribution of work load across multiple virtual machines to ensure that no machine is overloaded or underutilized during the task computation. The load balancing optimization problem is an NP-hard problem, hence, for the optimal usage of available resources, we propose a new efficient user-priority multi-agent genetic algorithm (GA). Our algorithm takes the “users’ priority and earliest job finishing time” into consideration for minimizing the response time and energy. We simulate our algorithm using Cloud-Analyst and show that our algorithm outperforms the existing algorithms for load balancing. 02 28 2020 45 51 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8836.029420 https://www.ijitee.org/portfolio-item/C8836019320/ Department of Mechanical Engineering, Graphic Era deemed to be University, Dehradun, India. Rushali Pant Pravin P Patil* Department of Mechanical Engineering, Graphic Era deemed to be University, Dehradun, India. Resham Taluja Department of Mechanical Engineering, Graphic Era Hill University, Dehradun, India. This paper contains in modelling of twin S-shape coriolis mass flow sensor in Titanium tube and then performing the simulation to determine the optimum phase-shift. To measure the mass flow rate coriolis mass flow sensor is placed inside the tube. The phase shift appears due to the twist in the structure as a result of interactions between the vibration and fluid flow. The phase shift calculated at different sensor positions is helpful in calibrating the accurate mass flow rate and to the optimal sensor position. The coriolis mass flow sensor is modelled in CATIA V5 and simulation is performed in ANSYS 16.2. tube material is titanium and working fluid is water. 02 28 2020 697 701 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8837.029420 https://www.ijitee.org/portfolio-item/C8837019320/ Asst. Professor, Dept. of Computer Science, Marudupandiyar College of Arts and Science, (Affiliated to Bharathidasan University) Thanjavur. Dr. K. Kalyani* Flock Aptitude Is A Communal Performance Of Societal Classifications Like Individuals Like Ant Cluster Escalation, Fish Training, Birds Assembling, Bee Cluster Optimization And Particle Crowd Escalation. In This Work, A Mixture Crowd Intelligence Based Performance For Statistics Classification Is Suggested Using Honey Bee Mating Optimization Algorithm With Neural Network (HBMO-NN). Honey Bee Reproducing Procedure May Be Restrained As A Distinctive Group-Founded Attitude To Intensification, In Which The Exploration Procedure Is Stimulated By The Progression Of Factual Sweetie-Bee Marital And Imitator The Iterative Coupling Progression Of Honey Bees And Schemes To Excellent Qualified Drones For Copulating Progression Through The Aptness Functions Enrichment For Mixture Of Greatest Weights For Secreted Layers Of NN Classifiers. Advanced HBMO (AHBMO-NN) Procedure Is Nowadays Realistic To Categorize The Information Efficiently Through Teaching The Neural System. The Arrangement Precision Of AHBMO-NN Is Associated With Several Other Procedures. In This Work, Promoted Honey-Bee Coupling Optimization Process (AHBMO-NN) Is Offered And Verified By Few Benchmark Instances. A Developed Way Of Honey Bee Mating Optimization Performance Is Joined With Neural Network Which Increases Exactitude And Decrease Time Interruption In Complication Of Numerous Factual World Datasets. 02 28 2020 52 56 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8850.029420 https://www.ijitee.org/portfolio-item/C8850019320/ Associate Professor, Department of Mechanical Engineering, Shri Ramdeobaba College of Engineering and Management (RCOEM), Nagpur, India. Dr. Vishal V. Shukla* Dr. Pranil V. Sawalakhe Assistant Professor, Department of Mechanical Engineering, Shri Ramdeobaba College of Engineering and Management (RCOEM), Nagpur, India. Jahier Abbas Shaaikh lecturer, Mechanical Engineering, Debre Tabor University, Ethiopia, East Africa. M. G. Trivedi Assistant Professor, Department of Mechanical Engineering, Shri Ramdeobaba College of Engineering and Management (RCOEM), Nagpur, India. N.P. Gudadhe Assistant Professor, Department of Mechanical Engineering, at Shri Ramdeobaba College of Engineering and Management (RCOEM), Nagpur, India. High Speed machining has captured popularity over last few years; Due to technological enhancements its implementation was successful. Because of progressive growth in machine tools and cutting too technology, HSM has proved itself an economic manufacturing process for manufacturing parts with high fidelity and surface quality. In recent times, with the progress of cutting tool technologies, HSM has also been used for machining alloy steels for preparing molds/dies employed in the manufacturing of a broad collection of automotive components, and also for plastic molding parts. This mechanization was effectively used with some advancement in machine tools, controllers and spindles. [1, 2]. The goal of this research is to develop mathematical models, in terms of the High-speed Milling operation input parameters. These models will assist engineers and technologists to achieve desirable machining conditions. This approach will assure the highest Depth of Cut, and assist in lowering machining time. Furthermore, it will reduce the numbers of experiments without any significant loss in the accuracy of the models developed. 02 28 2020 702 708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8858.029420 https://www.ijitee.org/portfolio-item/C8858019320/ Department of ECE, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India Kommalapati Abhiroop Tejomay* Kishore Kumar Kamarajugadda Department of ECE, Faculty of Science and Technology, ICFAI Foundation for Higher Education, Hyderabad, India It is proposed to use the cycle-consistent adversarial network as a way to convert images of sketches to images of photos. The network learns to perform the mapping from the domain of sketches to the domain of photos and due to its architecture also learns the inverse mapping from the domain of photos to the domain of sketches. The network converts sketches to photos by reducing a weighted sum of the validity, reconstruction and identity losses. The advantage of using a cycle-consistent adversarial network over other network architectures is that it is not mandatory to have aligned image pairs as its training set and works in an unpaired setting. 02 28 2020 2467 2471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8866.029420 https://www.ijitee.org/portfolio-item/C8866019320/ School of Information Technology and Engineering, Vellore Institute of Technology, Vellore. Patlolla Aravind Reddy* Pakkireddy Harsha chandan Reddy School of Information Technology and Engineering, Vellore Institute of Technology, Vellore. In general, every web or android based application required security for login. So for that we have to encrypt the password while signup itself,these encrypting the password there are many algorithm but by trail and error method or by using some attacks(man in middle attack etc..,) we can know the password, so in order to reduce attacks we came up with new algorithm to protect the password. Even after getting the password where many of the applications like banking , messaging application uses OTP process. These OTP could also be stolen easily (although it is difficult to do so) but still. So to over come this we came up with modified OTP process that decreases the time and it will be difficult to stole. So here we first we will encrypt the password using algorithm ACR and when user want lo login we go with the modified OTP process. 02 28 2020 3212 3215 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8869.029420 https://www.ijitee.org/portfolio-item/C8869019320/ Department of Electrical Engg., Azad Institute of Engineering & Technology, Lucknow, India. Vivek Prakash* Imran Khan Department of Electrical Engg., Azad Institute of Engineering & Technology, Lucknow, India. Evolution to a sustainable power environment consequences in aggregated originator and load dynamics in the distribution network. State estimation is a key characteristic in construct ok community fashions for online monitoring and analyzes. The requirements of distribution device kingdom estimation (DSSE) is becoming rigorous because of the wishes of recent gadget modeling and function practices associated with integration of allotted electricity sources and the adoption of better technologies in distribution network. This paper summarizes the most recent technology, predominant hurdles, and challenges in DSSE expansion. The possibilities, paradigm shift, and future study directions that might facilitate the want of DSSE are discussed. 02 28 2020 2044 2048 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8876.029420 https://www.ijitee.org/portfolio-item/C8876019320/ Department of Electronics and Instrumentation Engineering, National Institute of Technology, Silchar , Assam, India Neeraj Kumar Singh* Arun Kumar Sunaniya Department of Electronics and Instrumentation Engineering, National Institute of Technology, Silchar , Assam, India. In this paper a spatially growing modified median filter method has been proposed for the restoration of digital videos which are adulterated by the saturated impulse noise i.e., salt-and pepper noise. The proposed denoising process executes filtering action only to the corrupted pixels in the video keeping noise free pixels in the video unharmed. The current study has used a spatially growing window method for the exclusion of high density noise present in the digital videos. It has used sliding window of increasing dimension centered at any pixel and sequentially swapped the noise corrupted pixels by the median value of the trimmed window. However, if the whole pixels in the window are noise corrupted then the dimension of sliding window is enlarged in order to obtained the noise free pixels for median computing. At the same time, this process has been found to be capable to removing the high density salt and pepper noise and also well preserved the fine details of the videos. Experimentally, it has been found that the proposed method generate enhanced PSNR and SSIM results. 02 28 2020 1193 1200 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8890.029420 https://www.ijitee.org/portfolio-item/C8890019320/ Assistant Professor, Department of ECE, Vishnu Institute of Technology, Vit, Bhimavaram, Andhra Pradesh, India D.Durga Prasad* M. Dileep Assistant Professor, Department of ECE, Vishnu Institute of Technology, Vit, Bhimavaram, Andhra Pradesh, India Ch.Rama Krishna Assistant Professor, Department of ECE, Vishnu Institute of Technology, Vit, Bhimavaram, Andhra Pradesh, India A Full Adder is a logical circuit that servers a great part in the design of application particular integrated circuits. It is the basic component found in VLSI and DSP applications. The applications of Full adder in VLSI include ALU design, Address generation in processors, Multipliers and so on. Power consumption is one of the most significant parameters of full adder. Therefore, reducing power consumption in full adder is very important. In this paper, Design XOR gate using Transmission gate logic (TGL), Pass transistor logic (PTL) and Static Complementary metal oxide semiconductor logic (CMOS). Also design Full Adder circuit using different XOR gate designs. These circuits are designed and implemented, simulated using Mentor Graphics Tool. After getting simulation results, compare the different XOR gate designs based full adders in terms of power consumption and delay. Using the comparative analysis for the designed Full Adders, an effective adder design can be chosen based on the performance criteria as required by the designer. 02 28 2020 1422 1426 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8891.029420 https://www.ijitee.org/portfolio-item/C8891019320/ Department of Computer Science, National School of Applied Sciences, Ibn Tofail University, Morocco. Ibtissame Kandrouch* Nabil Hmina Department of Physics, Mohammed V University, Morocco. Habiba Chaoui, Nabil Hmina Department of Physics, Mohammed V University, Morocco. Over the past few years, the digitization of our different daily transactions and our activities have helped to create the new Big Data era. This phenomenon has become more widely used in different fields for many reasons, such as information retrieval, decision making, etc. But keeping this data safe from any attack attempts constitutes a real challenge. Indeed, Big Data security has become very important recently, since all technologies and large organizations have become dependent on these Data. For this reason, we deal with the Big Data security problems, especially those encountered during their management and treatment, and more precisely, those appeared during the processing with Hadoop system. The paper aims to highlight the Big Data system processing situation in terms of security, also it shed light on some existing security solutions used for overcoming these security issues, we will reveal its strengths and its weaknesses according to the security pillars. Subsequently, we will present our new security architecture, based on Haystack intrusion detection system, which serves to improve the inactive data security contained in HDFS, while analyzing its feasibility and its parameters 02 28 2020 709 719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8892.029420 https://www.ijitee.org/portfolio-item/C8892019320/ Department of CSE, Comilla University, Cumilla - 3506, Bangladesh Chowdhury Shahriar Muzammel Partha Chakraborty* Department of CSE, Comilla University, Cumilla - 3506, Bangladesh. Md. Noweshed Akram Department of CSE, BAIUST, Cumilla Cantonment, Cumilla - 3506, Bangladesh. Khalil Ahammad Department of CSE, Comilla University, Cumilla - 3506, Bangladesh. Mohammad Mohibullah Department of CSE, Comilla University, Cumilla - 3506, Bangladesh. Inspired by the human capability, zero-shot learning research has been approaches to detect object instances from unknown sources. Human brains are capable of making decisions for any unknown object from a given attributes. They can make relation between the unknown and unseen object just by having the description of them. If human brain is given enough attributes, they can assess about the object. Zero-shot learning aims to reach this capability of human brain. First, we consider a machine to detect unknown object with training examples. Zero-shot learning approaches to do this type of object detection where there are no training examples. Through the process, a machine can detect object instances from images without any training examples. In this paper, we develop a dynamic system which will be able to detect object instances from an image that it never seen before. Which means during the testing process the test image will completely unknown from trained images. The system will be able to detect completely unseen objects from some bounded region of given images using zero shot learning approach. We approach to detect object instances from unknown class, because there are lots of growing category in the world and the new categories are always emerging. It is not possible to limit objects in this fast-forwarding world. Again, collecting, annotating and training each category is impossible. So, zero-shot learning will reduce the complexity to detect unknown objects. 02 28 2020 988 991 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8893.029420 https://www.ijitee.org/portfolio-item/C8893019320/ Department of Medical Instrumentations Technique Engineering, Alkitab University, Kirkuk, Iraq. Abadal Salam T. Hussain* Muhammed K. Jarjes Northern Technical University , Technical College Mosul, Iraq. Syed F. Ahmed Faculty Staff, Department of Engineering, American University Kurdistan, Duhok, Iraq. The purposes of DC-DC conversion devices which are also known as switching regulators include reducing or increasing the resulting DC voltage in accordance with the load’s requirement. The optimal parameters for adjusting the PID controller were obtained using genetic algorithm. The circuit’s output voltage response and its ripples were compared with the GA optimized PID controller. The obtained results highlighted that the output voltage acquired from the scheme with GA optimized PID controller was regulated against the peak overshoot during transient condition even in varying load conditions and output voltage ripples as well. Along with that, the developed system also provided a constant output voltage in different load conditions. 02 28 2020 558 562 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8895.029420 https://www.ijitee.org/portfolio-item/C8895019320/ Research Team MSISI – LaRIT, University Ibn Tofail, Morocco. Ismail Kich* El Bachir Ameur Research Team MSISI – LaRIT, University Ibn Tofail, Morocco. Youssef Taouil Research Team MSISI – LaRIT, University Ibn Tofail, Morocco. Steganography is an information security technique that consists of concealing secret data into digital medias including videos, texts, network protocols and images. In this paper, a steganography method to dissimulate the secret information in gray-scale images is proposed; the dissimulation is adapted to the cover image’s texture, data is hidden in the edge areas. The edge pixels are selected by over-segmentation using Modified Simple Linear Iterative Clustering (M-SLIC). This algorithm allows to decompose the cover image into K regions which we call superpixels. The image’s texture and the amount of the secret data are the factors that help to determine the value of the parameter K. Choosing the pixels of complex regions to conceal secret information is due to the fact that the human visual system is designed to notice changes in the pixels of smooth areas. Therefore, edge areas tolerate larger changes than smooth areas without causing detectable distortions. Experiment on a large set of images were carried out; results illustrate the good performance of the proposed work in terms of capacity, security and imperceptibility in comparison to recent works. 02 28 2020 1640 1647 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8903.029420 https://www.ijitee.org/portfolio-item/C8903019320/ Department of Electronics and Communication Engineering, Kumaraguru College of technology, Coimbatore-49, Tamilnadu, India. S. Arun kumar* S. Sasikala Department of Electronics and Communication Engineering, Kumaraguru College of technology, Coimbatore-49, Tamilnadu, India. Water sources are contaminated by garbage, weeds and plastic wastes. Effective waste removal in the water sources such as lakes, ponds and rivers is essential for waste management and control. In Indian setting, Aquatic waste management and control is of main concern for implementing smart city and achieving clean India mission. Therefore the proposed work, aims at developing intelligent solution towards automating the waste removal in lakes. Lake cleaning robot system for removing the surface wastes is experimented in this work. This lake cleaning system uses Raspberry Pi along with proximity sensors for detection and DC motors for movement. Raspberry pi controls the movement of the robot along with gripper, motors, ultrasonic sensor and IR sensor. The working prototype model of the proposed system exhibits good accuracy with reduced computational time. Henceforth, the developed lake cleaning robot could be used towards reducing water pollution through efficient waste removal for implementing smart city environment. 02 28 2020 2831 2835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8905.029420 https://www.ijitee.org/portfolio-item/C8905019320/ Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, (A.P.), India. Arvind Yadav* Bezawada Supriya Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, (A.P.), India. Guda Navya Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, (A.P.), India. Penke Satyannarayana Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, (A.P.), India. Rivers are an integral part of the hydrologic cycle and are the major dynamic geologic agents that play major role for transformation of sediments from land to the oceans. Sedimentation is the biggest problem. Evaluation of suspended sediment yield is an essential parameter under the assessment on Dam filling, protecting of aquatic organism and wildlife habitats, understanding the flood capacity and hydroelectric equipment in hydro-electric power. The assurance of sediment yield through different traditional way isn’t exactly correct because of the participation of different complex processes.There are many limitations of traditional methods but it can be overcome by artificial intelligence techniques. So, in this study, the MOGA-ANN (Multi-objective genetic algorithm based artificial neural network) hybrid artificial intelligence method is used to estimate the sediment yield in Krishna river basin, India. The research done for evaluation of the suspended sediment load by taking 20 years of data from Vijayawada, gauging station which is the downward station in Krishna river. The proposed MOGA-ANN model provided low root mean square error (0.03354) and high correlation coefficient (0.9214) during test phase. It exhibited satisfactory performance. 02 28 2020 992 996 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8911.029420 https://www.ijitee.org/portfolio-item/C8911019320/ Research Scholar, Dept. of Computer Science and Engineering, St.Peter’s Institute of Higher Education and Research, St. Peter University, Avadi, Chennai, India. A. Manimaran* K. Somasundaram Professor, Dept. of Computer Science and Engineering, Chennai Institute of Technology, Chennai, India. Cloud Security is a technique of safeguarding applications, infrastructures and data involved in cloud computing. Cloud security uses a set of technologies, policies and controls to protect data and application from unauthorized access. RSA encryption and decryption algorithm is presented here for cloud security. The cloud can access the data only after receiving the user’s encrypted message using RSA algorithm. However, while transmitting the encrypted message more bandwidth is consumed as the message is transmitted over wireless channel. To minimize the bandwidth, the encrypted message is transmitted into a number of encoded bits and the cloud service provider can append the bits and recover the original message. The performance results for RSA algorithm and the RSA algorithm using Fountain Code are simulated. The results show that the energy, end-to-delay are minimized while using Fountain Code RSA algorithm. In addition, the packet loss ratio decrease and the packet delivery ratio increase. 02 28 2020 411 415 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8923.029420 https://www.ijitee.org/portfolio-item/C8923019320/ Research Scholar, Register No:18121172282014, Department of Computer Science, Manonmaniam Sundaranar University, Tirunelveli - 627 012, Tamilnadu, India. N. Subathra* Dr.K. Merriliance Associate Professor, Department of Computer Applications,Sarah Tucker College (Autonomous), Tirunelveli - 627007, Tamilnadu, India. Nowadays, Palm vein biometric is one of the emerging techniques to build up a well-organized recognition system. This paper focuses on quality-based palm vein detection. To recognize hand palm vein images, Local Gabor Vein Code Pattern (LGVCP) is proposed. It comprises of three modules, namely Preprocessing, LGVCP and Palm Vein matching. Preprocessing is performed using Otsu thresholding method and Contrast Limited Adaptive Histogram Equalization (CLAHE) techniques. Palm vein features are extracted by applying LGVCP and Histogram of Oriented Gradients (HOG). Chi-square distance and Euclidian distance values are applied for palm vein matching. Experiments are performed on CASIA Palm vein Image database. The performance of the proposed method is evaluated by metrics, namely accuracy, specificity, sensitivity, error rate, recall and precision. The proposed method provides an accuracy of 99.001% compared to the existing ones. 02 28 2020 785 790 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8929.029420 https://www.ijitee.org/portfolio-item/C8929019320/ Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India. B. Sreedhara Rao M. Srilekha Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India. T. Sai prafulla Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India. P. Chinmayi Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India. S. Kishore Kumar* Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India. This paper presents an experimental study on heat transfer rate for ethylene glycol using a flat plate heat exchanger and various corrugation angles of corrugated plate heat exchanger. Experimental set up provided with thermocouples to measure the temperatures along the length of each plate at seven locations. Additionally, four thermocouples were used to measure the inlet as well as outlet temperature of test fluid and hot fluid. Water was used as a hot fluid at constant temperature of 75°C and Ethylene glycol was used as a test fluid in a counter-current flow mode. The fluids flow rates were varied from 0.5 lpm to 4.5 lpm and the corresponding temperatures are measured. From the experimental readings, the heat transfer coefficient and Nusselt numbers were calculated for flat plate and corrugated plate exchangers. The heat transfer coefficient values and Nusselt numbers were compared with the corrugation angles (300, 400) of corrugated plate and flat plate heat exchangers. The heat transfer coefficient and Nusselt number enhances for corrugated plate with increasing in Reynolds number. The improvement in values is due to the high heat transfer rate caused by turbulence at the corrugation angle. Furthermore, as the increase of mass flow rate, gradual decrement observed for the heating effectiveness in corrugated plate as well as flat plate heat exchanger. This drop of effectiveness is due to decrease of time contact between the two fluids. 02 28 2020 325 328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8937.029420 https://www.ijitee.org/portfolio-item/C8937019320/ PG Scholar, Master of Engineering (ME) in Computer Aided Structural Design & Drafting (CASDD), Ujjain Engineering College, Ujjain (MP)India. Aayush Gupta* Dr. Umesh Pendharkar Professor, Department of Civil Engineering, Ujjain Engineering college, Ujjian,(MP) India. The current study find out the effects of the structural irregularity which is produced by the discontinuity of a column in a building overcome to seismic loads in Zone III. In this paper analysis is done by equivalent static method for a multistory Rcc frame of G+4, G+10, G+20 buildings with and without floating columns(FC) in seismic Zone-III. Different cases of the building are considered for the study by varying the location of floating columns on 1st floor. The analysis is carried with the help of software ETABS ver.13. 02 28 2020 2143 2146 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8944.029420 https://www.ijitee.org/portfolio-item/C8944019320/