bluuebunny/crossref_metadata_2025 huggingface dataset:
Bit Plane Slicing based Digital Watermarking Technique in DWT Domain
Authors:   School of Electronics Engineering, KIIT University, Bhubaneswar, India., Mishra Mayank , Rout Dr. Nirmal Kumar ,   School of Electronics Engineering, KIIT University, Bhubaneswar, India., Budipi Nageswara Rao ,   School of Electronics Engineering, KIIT University, Bhubaneswar, India
Published: August 2019

Authenticity of image and its copyright protection are one of the essential application of watermarking. In this paper, a hybrid technique for watermarking in DWT domain is presented for its application in the field of providing authentication to images. In this work binary image is used as watermark and is embedded in the 'host image'. Before embedding the watermark in the host, the host image is splitted into 8 bit planes using bit plane slicing. Followed that DWT is applied to the least significant bit plane which partitions the respective plane into low frequency (LL subband) and high frequency (HH, HL and LH subbands). The SVD is applied to HH subband of least significant bit plane and watermark is embedded on the singular matrix part of SVD. To analyse the robustness of the scheme proposed in this paper, watermarked image is attacked by different image processing attacks. Original watermark and extracted watermark is compared on the scale of normalized correlation to measure the robustness of the scheme against various attacks.
Design and Implementation of Multi Input Hybrid Solar Three Levels Converter Using IOT
Authors:   Associate Professor/ Electrical & Electronics Engineering, IFET College of Engineering, Villupuram, Tamilnadu, India., Rampradesh T. , Rajan C.Christober Asir Rajan, ,   Professor/ Electrical & Electronics Engineering, Pondicherry Engineering College, India.
Published: August 2019

Multi input converters are highly reliable and can be effectively used for hybrid systems. Here the performance of a dual input system is experimentally verified by powering it with a solar and a battery and the whole system is monitored using IOT. A DC to DC converter which can operate with two sources is designed to operate with two input DC sources and the output DC supply is converted to AC by an inverter module. Power IOT based monitoring system is the main scope of this project which is achieved using an ESP8266 Arduino core and GSM technique. High conversion efficiency, soft switching realization and simple architecture are achieved in this system. The simulation results is presented under various values of operating conditions. A scale down model was developed which is powered by a 3Wp solar panel and a 12 V battery. The performance of the system was verified with various input conditions and the system parameters were monitored using IOT and the data samples were obtained.
Wave Pipelined Area Efficient LDPC Encoder
Authors:   Associate Professor, Department of ECE, Sri Krishna College of Engineering & Technology, Coimbatore, India., Nandalal Dr.V. , Kumar Mr.V.Anand ,   Assistant Professor, Department of ECE, Sri Eshwar College of Engineering, Coimbatore, India., Sumalatha Ms. M S ,   Research Scholar, Department of ECE, Sri Krishna College of Engineering & Technology, Coimbatore, India.
Published: August 2019

This paper present efficient design of Low Density Parity Check (LDPC) Encoder with wave psipeline. Comparing to decoding, LDPC Encoding was relatively more complex. There are several methods to perform encoding. Among all the existing methods to reduce parity check matrix Gauss Elimination method was used. To overcome the cons like latency and area overheads of conventional pipelining, Wave pipelining technique was used. LDPC encoding was designed with different stages of pipeline and the encoding performance is evaluated with wave pipeline. Implementation of this architecture was done on Xilinx FPGA XC2VP100 device. Wave pipeline will reduce the time delay and area overhead which can be proved by synthesis report.
Impact Testing on Reinforced Concrete Slab with Bfrp Bars as Reinforcement
Authors:   Senior Assistant Professor, School of Civil Engineering, SASTRA deemed to be University, Thanjavur, Tamil Nadu, India Vinodhini., K Dr.Ramakrishnan , K Vinodhini ,   M.Tech. In Structural Engineering, School of Civil Engineering, SASTRA deemed to be University, Thanjavur, Tamil Nadu, India.
Published: August 2019

Basalt Fibre Reinforced Polymer (BFRP) bar is an alternative to steel and glass fibre for reinforced concrete. Their unique characteristics makes them favourable compared to the other alternative materials. According to previous studies the BFRPbars are lighter and stronger than steel and has higher bending strength. But the research regarding the impact strength of BFRP bars are very limited. But the impact strength of materials is very important for many critical designs due. Thus, prompting the study of impact strength of BFRP bars. Basic tests were done to determine the strength of the materials to be used. Slabs of 550mm ×550mm ×50mm are made with varying centre to centre distance between bars in both cases of steel and basalt bars. The slabs are subjected to impact loading through the drop weight impact and the values such as crack length, width and depth are observed, and the result is observed in the form of ultimate crack resistance. Even though slabs with maximum centre to centre distance between bars failed very easily in both cases, the slabs with minimum centre to centre distance between bars gave considerable impact strength.
“Towards A Fuzzy Logic Rule Based Prediction for Effective Adoption of E-Procurement System on Cloud Environment”
Authors:   Full time Ph.D. Research Scholar , Department of Computer Application, Babu Banarasi Das University , Lucknow, India., Saxena Surabhi , Agarwal Dr. Devendra ,   Head of Department ,Department of Computer Science and Engineering, Babu Banarasi Das University , Lucknow, India.
Published: August 2019

E-Procurement Solution on Cloud Platform is a cost efficient method to get better buyers and sellers relationship. This will brought a new revolution in the field of E-Procurement. In this paper author has emphasized on effectiveness of cloud based e- Procurement and also suggested the prediction based on fuzzy method to quantify it, here an algorithm has been given and related guideless for cloud e- Procurement. In this paper algorithm and guidelines are based on quality and security criteria for migration of the traditional ERP based system to Cloud based e procurement systems has also been delivered. The fuzzy based algorithms have been validated by applying it to a MATLAB. This piece of writing will show the consequence of cloud environment acceptance on e procurement system in the fast increasing industry, as an benefit of this mechanization continue to develop, business will pay out less on multifaceted systems, it will make available better way of communication.
Assessment of Soil Erosion in the Watershed of Upper Lake, Bhopal using Remote Sensing and GIS
Authors:   Research Scholar, Civil Engineering Department, MANIT, Bhopal, India., Prasad Bikram , Tiwari H.L ,   Faculty, Civil Engineering Department, MANIT, Bhopal, India.
Published: August 2019

Recognizable proof of soil erosion territories and to propose or apply preventive measures is significant advance in the management of watershed. For structuring a watershed and to conserve it appropriately assessment of soil erosion plays a significant role. With the headway of innovation and advancement of GIS and Remote Sensing researchers and scientists can assess soil erosion using various developed model. In this study, Universal Soil Loss Equation (USLE) has been utilized to gauge soil disintegration inside the Upper Lake Bhopal, India. Catchment territory of Upper Lake, Bhopal has been partitioned into 24 sub zones and every one of them were organized according to the erosion occurring. The normal yearly soil misfortune guide has been acquired by coordinating R, K, LS, C and P factor maps and it fluctuates from 0.00 to 2735.45 t/ha/yr over the watershed. All the 24 sub watershed have been named as Krishna’s sub watershed (KW). The average soil loss from sub-watersheds have been figured and changes between 1.26 (KW-21) t/ha/yr to 99.04 (KW-3) t/ha/yr. The total soil loss in the watershed is determined as 19.6 t/ha/yr All sub-watersheds have been arranged into five classes specifically extremely high, high, moderate, low and low classifications based on final priority. Watersheds going under exceptionally high need covers 30.51% zone of study region, high need covers 22.31% zone, moderate need covers 25.46% zone of study territory, low need covers 14.45% region of study region, goes under extremely low need which spreads 7.26% zone of study region.
Dysfluency Recognition by using Spectral Entropy Features
Authors:   School of ECE, REVA University, Bangalore, India., N A Vinay , S H Bharathi ,   School of ECE, REVA University, Bangalore, India.
Published: August 2019

In recent decades, speech recognition technology has improved effectively and significantly, but it is restricted only for a stream of words. These recognition systems assist human’s effectively for structured speech but for unstructured speech this assistance is not so effective for humans to communicate with machines, because unstructured stream of word lacks in providing useful information about pronunciation and punctuation. Recovering of such structural information by detecting the position of each phones in a sentence by locating the sentence boundaries, repeated words and missing phones in each phrase. The proposed work investigates the spectral entropy features, for the automatic detection of voiced and non-voiced regions, in the process of dysfluent speech recognition. The entropy features are estimated by normalizing the Fourier transform spectrum as Probability mass function (PMF). For clear formants of speech, the value of entropy is low and the value of entropy is high for flat distribution of silence part or if there is any noise in speech sample. A comparison of entropy features with Word Error Rate is presented in the proposed work.
Intrusion Detection System for Large Scale Data using Machine Learning Algorithms
Authors:   M.E. Computer Engineering from JSPM’s Rajarshi Shahu College of Engineering., Kshirsagar Sayali R. , Kumbharkar P.B. ,   Professor in Computer Engineering, Dean (Planning and Development) and IQAC CO-ordinator, Rajarshi Shahu College of Engineering Tathawade Pune
Published: August 2019

To provide security to internet assets, Intrusion Detection System (IDS) is most essential constituent. Due to various network attacks it is very hard to detect malicious activities from remote user as well as remote machines. In such a manner it is mandatory to analyze such activities which are normal or malicious. Due to insufficient background knowledge of system it is hard to detect malicious activities of system. In this work we proposed intrusion detection system using various soft computing algorithms, the system has categorized into three different sections, in first section we execute the data preprocessing as well as generate background knowledge of system according to two training data set as well as combination genetic algorithm. Once the background knowledge has generated system executes for prevention mode. In prevention mode basically it works for defense mechanism from various networks and host attacks. System uses two data sets which contain around 42 attributes. The system is able to support for NIDS as well as HIDS respectively. The result section will show how proposed system is better than classical machine learning algorithms. With the help of various comparative graphs as well as detection rate of systems we conclude proposed system provides the drastic supervision in vulnerable network environment. The average accuracy of proposed system is 100% for DOS attacks as well as around more than 90% plus accuracy for other as well as unknown attacks respectively.
Mood Analysis using Neural Networks
Authors:   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India., Datta* Debabrata , Roy Anubhav Kumar ,   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India., Datta Suchandra ,   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India., Roy Upasana ,   Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India.
Published: August 2019

Identifying mood of a person using the facial expression has been an area of research interest. The research work described in this paper aims to propose a methodology to do the same. In this work, the input from a webcam is fed to the system which is captured frame by frame. The images are preprocessed and a model based on Convolutional Neural Network (CNN) has been used to predict the emotion of a person. The CNN model is trained using the FER2013 dataset to extract features for identification of emotions. The work flow consists of procuring model for training, cleaning the data, building the model and fine-tuning hyperparameters for an optimal level of accuracy. Parallel to this, the functions have been created to take input from webcam and to process the input to feed the model. The final step has been to integrate all the units. The testing of the application has been done for each function separately, then for the entire work as a whole.
Developing Of Expandable Polystyrene Industry Using Cleaner Production Technology
Authors:   M.Sc, Student, environmental Eng. Dept., Institute of Environmental Studies and Research, ASU, Cairo, Egypt., H. Aly, E.A. , H. El Nadi, M. ,   Prof. of Sanitary and Environmental Engineering. PWD, Faculty of Eng., ASU, Cairo, Egypt., H. Khater, E.M. ,   Prof. of Chemical Engineering, Chemical Engineering and Pilot Plant Dept., National Research Center, Giza, Egypt.
Published: August 2019

In terms of the importance of cleaner production technology in industry for saving environment and cost, also with the importance of expandable polystyrene industry for the current development in Egypt in multi fields such as modern agriculture, construction and Building, home appliances and electrical instruments industries, the study deals with application the cleaner production technology on the expandable polystyrene factory. The study applied in EL Araby foam factory for backing and thermal insulation to reduce the energy csonsumptions and save both cost and environment. In year 2016 data was accumulated analyzed and points of weakness presentsed. Several scenarios and modifications were proposed and the most effective were chosen and designed, due to cleaner production technology study according to UNIDO rules a modification was selected as the most beneficiary option and was made by separate machines air pressure feeding to two groups one with high pressure from 6-8 bar and second with low pressure from 3-5 bar since January 2017 and the significant parameters for energy consumptions and wastes were measured again during year 2017 and the results were analyzed, evaluated and the difference between the before and after cleaner production technology application was illustrated. The totsal saving from this modification is 1,008,393 Kw that is equal 35% from compressors electricity and 29.45 % from total factory electrical consumptions. Also this environmentally achieved increasing the lifetime of compressors oil and change oil periods increased by 20%. The low air pressure used in EPS machines are not need drying and the dryer was removed its circuit, that reduces using of CFCs gases for dryers. Also it reduces the noise inside the factory from de-molding process by 10%. The total cost to implement this modification was 300,000 L.E for new air pipe line added to the machines circuits and two air tanks and man power cost. This achieved the reduce of the low pressure compressors maintenance annual expenses by 20%. And reducing the electrical consumption cost specially with annual increasing of electrical price by 20 % yearly until 2020. For new factories it saves in the low pressure circuit the air dryers and the pumps capacities and pressure that saves about 35% of the system cost in addition to 25% of its maintenance needs.
Improved Selection of Separate V2v Communication Assets for Lte
Authors:   Student M.Tech(Emedded Systems), GRIET, Hyderabad, Telangana, India., Nikhila* Padidam , Valiveti Hima bindu ,   Professor, Department of ECE, GRIET, Hyderabad, Telangana, India., Suseela R S Uma ,   Assistant Professor, Department of ECE, GRIET, Hyderabad, Telangana, India., Chowdari Ch Pratyusha ,   Assistant Professor, Department of ECE, GRIET, Hyderabad, Telangana, India.
Published: August 2019

The Vehicle-to-Everything (V2X) speech holds the promise for rising avenue protection and decreasing street accidents with the help of sanctioning dependable and low latency decisions for four wheelers notably Cars. Most of the motors area unit incorporated with the serious duty technology that positive factors excessive speeds, V2X speech turns into obligatory to create sure security. The inter- automobile contact involves passing of records from Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) and the other way around. during this paper, a aware effort has been placed on each V2I 2 and V2V speech during a multi-lane superhighway state of affairs, within which insurance set up is volumed through approach of the future Evolution Advanced (LTE-A) road issue unit (RSU) 2 community. A mechanism to dump motors with low Signal-to-Interference-plus-Noise quantitative relation (SINR) is projected and such cars are going to be served with the helpful resource of different motors that have bigger link to the RSU. moreover, we have a tendency to inspect the reforms within the potentialities of achieving purpose outturn and therefore the performance is classified through Brobdingnagian system-degree simulations. Results exhibit that the projected answer offloads calibre V2I hyperlinks to stronger V2V links, and during a similar approach can improve successful transmission likelihood.
Appreciating Green Radio Communication Network Systems in a Problem-Oriented Project-Based Learning Environment. A Theoretical Framework
Authors:   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia, Akor* Terungwa Stephen , Subari Kamalularifin bin ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia., Jambari Hanifah bibti ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia., Noordin Muhammad Khair bin ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia., Onyilo Igogbe Regina ,   Department of Engineering & Technical Education, Universiti Teknologi Malaysia/ Skudai, Johor Bahru, Malaysia.
Published: August 2019

The aim of this article was to present a POPBL theoretical framework for the teaching, learning and research in Green Radio Communication Network Systems. To this effect, a content analysis and synthesis of related scientific literature, models and frameworks was carried out based on the research tittle and key words. The article analyses and syntheses centred on the importance of green radio communication, principal factors in green communication as well as the process components. Also in the content analysis and synthesis are the POPBL elements, processes and related theories with the resulting instructional benefits. The resulting framework has the potentials of developing the generic skills like problem solving, team work, creativity, critical thinking and continues learning which have the potentials of achieving the goals of GRCNS.
Dominations In Semigraphs
Authors:   Assistant Professor, Department of mathematics, Sri Ramakrishna Engineering College, Coimbatore, India., Narmatha* D. , Murugesan N. ,   Assistant Professor, Department of mathematics, Government Arts College, Coimbatore, India.
Published: August 2019

The semigraph generalization is more closely related to the axiom that the two edges in a semigraph have atmost one vertex in common, where as the hypergraph generalization is based on the consideration of an edge as a subset of two elements of the set of vertices of graphs. The concept of domination is an important parameter in graph theory. They provide a lot of space to the theoretical development of graphs and their applications. The dominations in semigraphs have no exception. In this paper, we study various dominations of semigraphs arising out of the corresponding adjacencies exist in semigraphs.
Modelling and Simulation of the Car Following Behavior in Real Traffic Flow
Authors:   Research Scholar, Department of Electronics and Communication Engineering, GITAM University, Hyderabad., Parthasaradhy* P. , Chari K. Manjunatha ,   Professor and Head, Department of Electronics and Communication Engineering, GITAM University, Hyderabad.
Published: August 2019

In generally typical highway traffic scenario a vehicle, following vehicle ahead needs to maintain benign gap to avoid mishap. Accordingly speed of follower vehicle needs to be controlled keeping watch on variation of speed of vehicle ahead. In this paper a car follow model is designed and it is estimating the speed of follower vehicle with respect to that of vehicle ahead is presented. This paper brings out the details of mathematical equations of the proposed model along with implementation of same in Matlab Code as well using Simulink model.
Extended K alman Filter for Bearings Only T racking
Authors:   Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India., Jahan* Kausar , Rao S. Koteswara ,   Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India.
Published: August 2019

Target tracking using bearings-only measurements in passive mode operation of sonar is a crucial issue of underwater tracking. Target motion in underwater scenario is analyzed using bearings-only measurements and calculating parameters like range, course and speed of the target. This is called Target Motion Analysis (TMA). TMA process is highly non-linear as the measurements chosen are nonlinearly related to the selected target state vector and the traditional, optimal linear Kalman filter will not be appropriate to use. It is presumed that the target is moving in straight line path with constant velocity, so Extended Kalman Filter (EKF) is proposed in this paper. The algorithm is simulated for several scenarios using MATLAB. Monte-Carlo runs are performed to evaluate the capability of the algorithm.
Rat Protein’s Enzyme Class Classification Using Machine Learning
Authors:   Computer Science & Engineering, Dr. APJ Abdul Kalam Technical University, Lucknow, India,, Gupta Chhote Lal Prasad , Bihari Anand ,   School of Information Technology & Engineering, VIT University, Vellore, Tamil Nadu, India, Tripathi Sudhakar ,   Deportment of Information Technology, Rajkiya Engineering College, Ambedkarnagar, Uttar Pradesh, India
Published: August 2019

In the current era, bioinformatics has been an emerging research area in the context of protein enzyme classification from the unknown protein data. In bioinformatics, the prime goal is to manipulate the protein data and develop a computational technique to classify and predict the appropriate features for function predictions. In this context, several machine learning and statistical technique have been designed for classification of data. The classification of protein data is one the challenging task and generally the classification of protein data has been done on human protein data. In this article, we have considered rat enzyme class for classification and predictions. Here we have used like CRT, CHAID, C5.0, NEURAL, SVM, and Bayesian for classification of protein data and to measure the performance of the model, the accuracy, specificity, sensitivity, precision, recall, f-measures and MCC have been used. The experimental result highlights that the some of the protein data are imbalance that affects the performance. In this experiment, the Lyases, Isomerases and Ligases class of data are imbalanced and affect the performance of the models. The experimental results highlight that the C5.0 gives 91.5% accuracy and takes only 4 second for computation and can be used for protein classification and prediction of protein data.
Implementation of Word Level Parallel Processing Unfolding Algorithm using VHDL
Authors:   Department of ECE, NIT Manipur, Imphal , India, Kumar* Dr. Manoj , Ram Karni ,   Department of ECE, NIT Manipur, Imphal , India.
Published: August 2019

Aim of this paper is to apply the unfolding algorithm to FIR (Finite Impulse Response) and IIR (Infinite Impulse Response) filter and compare with original filter and parallel processing filters architecture. FIR filter and IIR filter are implemented by using VHDL (Very High Speed Integrated Circuit Hardware Description Language).In this paper, 2-parallel processing and 3-parallel processing of FIR and IIR filter are implemented and FIR and IIR filter are also implemented with unfolding factor 2 and unfolding factor 3 using VHDL. The simulation is done on Artix-7 series FPGA, target device (xc7a200tfbg676) (speed grade -1) using VIVADO 2016.3. Implemented design works on 1200 KHz clock whereas parallel inputs are generated on 3600 KHz clock. The proposed technique reduces the critical path delay in comparison with existing literature. Also, the experimental result shows that the speed for 3-unfolded IIR filter is more than 3-parallel IIR filter.
Improving the Performance of Automatic Speech Recognition Using Blind Source Separation
Authors:   Department of E&CE, Sri Venkateshwara College of Engineering, Bengaluru, India., S Santosh Kumar , J L Avinash ,   Department of E&CE, Sri Venkateshwara College of Engineering, Bengaluru, India., N Nataraja ,   Department of E&CE, Sri Venkateshwara College of Engineering, Bengaluru, India.
Published: August 2019

In real world applications, Speech recognition system have grown due its significance in various online and offline applications such as security, robotic application, speech translator etc. These systems are widely used now-a-days where acquisition of signal is performed using various instruments which causes noise, source mixing and other impurities which affects the performance of speech recognition system. In this work, issue of source mixing in original speech signal is addressed which causes performance degradation. In order to overcome this we propose a new approach which utilizes non-negative matrix factorization modelling. This method utilizes scattering transform by applying wavelet filter bank and pyramid scattering to estimate the source and minimization of unwanted signals. After estimation the signals or sources, source separation algorithm is implemented using optimization process based on the training and testing method. Proposed approach is compared with other existing method by computing performance measurement matrices which shows the better performance
Correlation between Absence, Interest in the Field and Grades in an Organization using Regression Model
Authors:   B.Tech Student, Department of Computer Science and Engineering Specialization in Data Analytics, The Neotia University B.Tech Student, Department of Robotics, The Neotia University, Chatterjee Ahan , Sinha Trisha ,   B.Tech Student, Department of Computer Science and Engineering Specialization in Data Analytics, The Neotia University B.Tech Student, Department of Robotics, The Neotia University
Published: August 2019

“Who questions much, shall learn much, and retain much.”-Francis Bacon English Philosopher This quotation by Francis Bacon conveys that people, who question more, learn more in comparison to their peers and it is quite natural that one has to be present in the class to bring forth his or her question. In today’s world of advancing technology, absence from class is a major challenge not only in West Bengal, India but across the globe. The growth in this trend of being absent in class eventually leads to poor grade. In this paper, we aim to find a relation between absence, interest of student in subject, staying in hostel or travelling regular to college and the final grade of the student. Also, it will be our aim to find out how the above mentioned factors affect the grade of that particular student. A sample of 86 students is taken into account to predict the outcome. The data regarding the interest in each subject is collected from the individual students to calculate while the attendance and grades are collected from the college authority. The statistical models used in findings are students t-test, Pearson’s correlation and regression model. Hypothesis generated for each independent variable affecting the target variable Grade and through statistical calculations, conclusions are drawn whether or not they really affect or it is simply a myth. This study is beneficial for both, the college authority as well as the students to create awareness among them regarding the drawbacks of not attending the classes and not creating interest in the subject.
V f Controlled Autonomous Wind Energy Conversion System Using Z2 Transformer Connected DSTATCOM
Authors:   Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, India., P.V* Nithara. , Hari M. ,   Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, India., C.S Sreelakshmi. ,   Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, India., Eldho Reshma. P. ,   Department of Electrical and Electronics Engineering, CMR Institute of Technology, Bengaluru, India..
Published: August 2019

Distributed generation and renewable energy sources are hot research topics from past 10 years or so due to various reasons. The sudden load variation leads to change in voltage and frequency, and if nonlinearity presents, the T.H.D. variations will be more. Power quality controlled devices like DSTATCOM with battery energy storage system (B.E.S.S.) that controlled by pulse width modulation (P.W.M.) based voltage source converter (V.S.C.) in the distribution system would control the voltage, frequency and THD, indirectly power control. This paper presents an autonomous W.E.C.S. with zig-zag (Z2) transformer connected V.S.C. controlled DSTATCOM with BESS and its control scheme. It also shows the various MATLAB simulated results. It also contemplates the various performance parameters from previous methodology. It strategically concludes that the proposed system is effective in controlling voltage and frequency (V-f) and T.H.D. in voltage and current.
An Intelligent Data Mining Model for Diabetic Patients Data Using Hybrid Adaptive Neuro- Fuzzy Inference System
Authors:   Research Scholar, Department of Computer Science and Engineering, Annamalai University., Abinesh* S. , Prabakaran Dr. G. ,   Associate Professor, Department of Computer Science and Engineering, Annamalai University., Arunkumar Dr. R. ,   Associate Professor, Department of Computer Science and Engineering, AnnamalaiUniversity.
Published: August 2019

Proper diagnosis of diabetic based on the patient’s medical analysis results is an important factor. Data mining helps in analyzing such data includes complex meaningful terms to diagnosis and supports the patients to take remedy action based on the accurate results. The proposed model is a data mining model for analyzing diabetic patient’s data using sugeno type adaptive neuro fuzzy inference system with principle component analysis as a hybrid system. The experimental model validated through 200 different data obtained from health clinic with 25 different attributes. The proposed model classifies the data with accuracy of 94.6% where as conventional rough set and k means clustering model produces less classification accuracy of 74.5% and 77.6%.
Performance Assessment of Routing Protocols in Ad Hoc Network with Im pression of Ad Hoc Cloud and In ternet of Things
Authors:   Computer Science and Engineering,, Ansal University, Gurgaon, India., Singh* Vijaya Lakshmi , Rai Dr. Dinesh ,   Computer Science and Engineering, Ansal University, Gurgaon, India
Published: August 2019

Ad hoc network is a decentralized network in which organization of network, message transmission and delivery is executed with nodes themselves. Routing is a critical issue that determines the performance of the network. This paper is a multifold, impression, study, and simulation based paper. At first impersonation of Ad hoc, Cloud, Ad hoc cloud and Internet of Things (IoT) is done. Then a study is done to identify the most important and effective performance parameters, metrics, factors and issues of Ad hoc network. In the last part the routing protocol named AODV, DSR, TORA, OLSR and GRP are simulated, implemented and then performance analysis of these protocols are done considering important parameters that are identified in this study.
High Early Strength of Slag Based Fiber Reinforced Concrete
Authors:   Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India., Sounthararajan* Dr VM , Sivasankar Dr S. ,   Associate Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India., Ramadasu Dr TL ,   Professor, Department of Civil Engineering, CMR Technical Campus, Kandlakoya, Medchal Road, Hyderabad – 501401, Telangana, India.
Published: August 2019

The experimental investigation achieved the high early strength of fiber reinforced concrete by adding slag (GGBS), rapid hardening admixture, and steel fibers. This concrete is done curing for seven days and followed by hot air oven curing for four hours as per different mixes. Tests such as destructive and non-destructive test have been performed. During the testing of the cube which is cured for seven days has achieved the high compressive strength of 42.24 N/mm2 for M25 Grade of concrete.
Resource Allocation in Cloud Computing for Energy Efficiency
Authors:   B.sc, (Information System Management) 2011, M.sc., (Computer Science) 2014 and studying M.Tech (By Research) in computer Science and Engineering at Vellore Institute of Technology, Vellore, Tamil Nadu, India., R* Deepa , J Dheeba ,   Computer science and Engineering from Anna University, Chennai. Associate Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore.
Published: August 2019

Cloud computing is a paradigm in which we have virtualized computer systems that deliver services, processing, storage, network, and other fundamental computing resources. Cloud computing enables low cost, device location independence, high reliability, scalability and sustainability. This paper describes the present state of cloud computing research by examining literature, identifying current study trends. We have analyzed the resource allocation method and concluded. It typically designs for high performance that supports the peak resource requirements. After several analyses the power consumption of data center and cloud systems as increased almost several times. There is a lack of research that addresses challenges of managing multiple resources with objective of allocating enough resources for each work load to optimizing power consumption. These papers survey various types of resource allocation algorithms that improve the cloud Infrastructure.
Consumerism and Its Impact of Social Media
Authors:   Associate Professor ,Department of Commerce ,Vels institute of science , Technology and Advanced Studies (VISTAS), Chennai, India., Manivannan* Dr. N. , Mythili Dr. G. ,   Associate Professor ,Department of Commerce ,Vels institute of science , Technology and Advanced Studies (VISTAS), Chennai, India., Gunaseelan Dr. S. ,   Associate Professor ,Department of Commerce ,Vels institute of science , Technology and Advanced Studies (VISTAS), Chennai, India.
Published: August 2019

A consumer is an important pillar of the business organization it will goes to give a very huge level of appreciation the businesspeople. All the businesspeople are giving a first priority to their customers and also the consumer. The customer and the consumer are all the carried his purchasing policy up to end of their life, so all the producer and manufacturer must to concentrate their producing habits. The consumer is the king in the market, so we take care of the consumer and also the customers in the present marketing era. It contains the need, scope, objectives of studies and also using the tools of Chi-square test for analyzing the data. Based on the findings, appropriate suggestions have been made for increasing the number of beneficiaries.
Performance Analysis for Open Loop Brushless DC Motor Drive
Authors:   Electrical and Electronics Engineering, NIT Mizoram, Aizawl, India., Das* Upama , Biswas Pabitra Kumar ,   Electrical and Electronics Engineering, NIT Mizoram, Aizawl, India., Parek Sanjeev ,   Electrical and Electronics Engineering, NIT Mizoram, Aizawl, India.
Published: August 2019

This paper presents a broad explanation on the effect of performance of an open-loop representation of a Brushless Direct Current (BLDC) Motor drive supplied from a two-level voltage source inverter (VSI) working on 120-degree mode of conduction. This research work is programming based and it is done in the MATLAB software for both No-load and load condition. BLDC motors are currently growing popularity and replacing brush motor in so many applications, as it can be used in both low and high-speed vehicle system and also in servo drives. The high reliability, good efficiency, high power concentration, less maintenance, simplicity of control and mainly the brushless operation make the BLDC motors superior to others. The presence of electronic elements for the smooth operation of the motor makes it less costly compare to other motors. It has a permanent magnet as a rotor with a balanced 3-phase conductor assembly as armature in its stator. The armature winding is driven by a power electronics inverter which is operating the switches according to the rotor position, sensed by an optical encoder or a Hall Effect sensor. It is found that by tuning the value of rotor position, no-load condition, and trapezoidal armature phase current, the variation in torque can be minimized. Different performance parameters for no-load and load condition of the BLDC motor like phase voltages and currents, speed, electromagnetic torque, d, q axis current and rotor position etc. are determined in MATLAB environment. These parameter evaluations is necessary to achieve better performance in both load and no load condition of BLDC motor in terms of speed and torque as these are the vital point for the selection of the application field of BLDC motor drive.
Theoretical and Experimental Desalination Using Ultrasound Assisted PVDF Membrane in Direct Contact Membrane Distillation
Authors:   Department of Chemical Engineering, Laxminarayan Institute of Technology, RTMNU, Nagpur,, Birmod* Mr. Ramesh P , Dawande Dr. Shrikant D. ,   Department of Chemical Engineering, Laxminarayan Institute of Technology, RTMNU, Nagpur,
Published: August 2019

Desalination by the direct contact membrane distillation (DCMD) for prepared saline water and Ambazari lake water sample was investigated. The self-prepared ultrasound assisted polyvinylidene fluoride (PVDF) membrane by wet phase inversion method exhibited effects on membrane contact angle, pore size, and porosity and investigated performance of DCMD. Membrane properties are characterized and employed in theoretical model with assumptions for water vapor transport in the transition region. It is observed that similar pattern obtained for permeate flux from experimental results and simulated results for transition region. Effects of operating parameter on permeate flux also simulated and compared with experimental data. For this work mathematical models developed and simulated in Polymath. PVDF membrane exhibited its characteristics like contact angle, pore size and flux enhancement may be due to ultrasound assisted polymer solution preparation for membrane casting.
High Speed Parallel SAD Architecture Implementation on FPGA for HEVC encoder
Authors:   Department of Electronics and Comm. Engg., MANIT, Bhopal, India., Koshta* Jaya , Khare Kavita ,   Department of Electronics and Comm. Engg., MANIT, Bhopal, India.
Published: August 2019

Video compression is a very complex and time consuming task which generally pursuit high performance. Motion Estimation (ME) process in any video encoder is responsible to primarily achieve the colossal performance which contributes to significant compression gain. Summation of Absolute Difference (SAD) is widely applied as distortion metric for ME process. With the increase in block size to 64×64 for real time applications along with the introduction of asymmetric mode motion partitioning(AMP) in High Efficiency Video Encoding (HEVC)causes variable block size motion estimation very convoluted. This results in increase in computational time and demands for significant requirement of hardware resources. In this paper parallel SAD hardware circuit for ME process in HEVC is propound where parallelism is used at various levels. The propound circuit has been implemented using Xilinx Virtex-5 FPGA for XC5VLX20T family. Synthesis results shows that the propound circuit provides significant reduction in delay and increase in frequency in comparison with results of other parallel architectures
Understanding the Effect of Electro-Oxidation Process Variables on Reactive Navy Blue Rx Dye Decolorization
Authors:   Assistant Professor, Civil Engineering Department (Environmental Section) Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda, Gujarat, India., Makawana* Dr. Abhipsa R , Odedra Vishva ,   M.E. Student, Civil Engineering Department (Environmental Section) Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda, Gujarat, India.
Published: August 2019

The study investigated the study of electro-oxidation treatment on Reactive Navy Blue RX dye simulated wastewater using graphite and stainless steel electrode material as anode-cathode assembly. The effect of initial pH, electrolyte dose, applied current, dye concentration, and time, has been investigated. Preliminary test to understand influence of initial pH and NaCl dose on EO process has also been investigated and further work was carried at optimized initial pH 5 and NaCl dose 500 mg/L. From the experiments it was observed that with increase in current density the color removal also increases while with increase in initial dye concentration, removal efficiencies decreases.
Navy Blue 3G Dye Electrocoagulation using Stainless Steel Electrode in Presence and Absence of Granular Activated Carbon Particle Electrode
Authors:   Assistant Professor, Civil Engineering Department (Environmental Section) Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda, Gujarat, India., Makawana* Dr. Abhipsa R , Gohil Chirag ,   M.E. Student, Civil Engineering Department (Environmental Section) Faculty of Technology and Engineering, The Maharaja Sayajirao University of Baroda, Gujarat, India.
Published: August 2019

Textile or dye wastewater is complex and toxic due to presence of complex chemicals in them hence difficult to treat with conventional biological treatment. This paper presents study of electrocoagulation treatment on simulated Navy Blue 3G dye wastewater using stainless steel electrode material in presence and absence of granular activated carbon as particle electrode. Preliminary test to understand effect of initial influent pH (3-10) and NaCl and Na2SO4 dose (0-2000 mg/L) on the EC process has also been investigated and further work was carried at optimized initial pH and NaCl dose. The results show that at highest studied current density of 10 mA/cm2 with stainless steel electrode showed complete removal of dye concentration after 90 min of treatment time. Electrocoagulation and adsorption using granular activated carbon (GAC)and stainless steel (SS+GAC) are good treatments when dispersed colour is present in the solution. Hence, change in decolourization efficiency of 2D EC was also studied on adding GAC particle electrode between anode-cathode assembly. The effect of current density and dye concentration on colour removal (%) was then studied. Complete removal of colour was observed at lesser time or at more current density; simultaneously initial dye concentration has shown inverse effect on colour removal. Higher removal of around 10 to 15% was reported with SS+GAC compared to SS alone.
Gate Dependent Tunable Photosensitivity of Copper Phthalocyanine Based Organic Field Effect Transistors
Authors:   Department of Electronics, School of Technology and Applied Sciences, Mahatma Gandhi University, Kottayam, Kerala, India., Vijayan Lekshmi , Thomas Anna ,   Department of Physics, Indian Institute of Space Science and Technology (IIST), Valiamala, Thiruvananthapuram, Kerala, India., Kumar K. Shreekrishna ,   Department of Electronics, School of Technology and Applied Sciences, Mahatma Gandhi University, Kottayam, Kerala, India., Jinesh K.B. ,   Department of Physics, Indian Institute of Space Science and Technology (IIST), Valiamala, Thiruvananthapuram, Kerala, India.
Published: August 2019

Organic field effect transistor (OFET) based photodetector with high sensitivity was fabricated using copper phthalocyanine (CuPc) as photoactive channel for weak light detection. The device fabrication was conducted at room temperature using thermal evaporation technique. The opto-electrical properties of the devices under dark and light conditions are studied in this work. The performance of the photodetector depends on the incident wavelength and the intensity of the incident monochromatic light. We also show that the photoresponse could be tuned by the gate bias, which offers an additional benefit for practical applications. The transfer characteristics of the devices appear to enhance under light illumination. A slight enhancement in the carrier mobility was also detected upon illumination. Similarly, the subthreshold swing has been reduced from 1.31 ± 0.18 V/decade under dark condition to 0.76 ± 0.12 V/decade under illumination. Further impact of gate voltage on responsivity, on/off ratio and detectivity was also studied for the proposed device. The maximum photosensitivity and responsivity obtained from these OFET based photodetectors was 237.21 ± 8.02 and 7.77 ± 0.17 A/W respectively at a power density of 1 mW/cm2 while operating at an input voltage of 4 V and bias voltage of -5 V. Also, a maximum detectivity of 1.38 ± 0.03×1012 Jones was obtained under the same operating condition. The high sensitivity, good stability, low noise and fast response towards weak light with different wavelength imply that OFET based photodetectors are particularly suitable for photodetection in the visible region of electromagnetic spectrum.
Sensor less Speed Estimation of an Foc Induction Motor Drive using Mras Speed Controller and Fuzzy Current Controller
Authors:   Electrical and Electronics Engineering, JNTU Ananthapur, INDIA., Lavanya C. , SRIDHAR S. ,   Electrical and Electronics Engineering,JNTU Ananthapur, INDIA.
Published: August 2019

This paper mainly presents fuzzy current controller depending on speed estimator of MRAS with field oriented controlled induction motor drives. This paper consists of three main techniques used for configurations of MRAS speed estimators that is Rotor Flux, Back - EMF and Instantaneous Reactive power. The MRAS estimators are then included into a direct field oriented controller and also a comparison is done between PI and fuzzy current controllers completely tested on MATLAB/SIMULINK. The resulting controller achieves an acceptable level of execution over wide range of good operating conditions.