bluuebunny/crossref_metadata_2025 huggingface dataset:
Performance Analysis of Ad-Hoc Routing Protocol for Vehicular Ad-Hoc Network (VANET)
Authors:   Electrical Engineering, Gunadarma University, Jakarta, Indonesia., T Dwi Shakti M. S. , Haryatmi Emy ,   Electrical Engineering, Gunadarma University, Jakarta Indonesia.
Published: November 2019

Vehicular Ad-hoc Network (VANET) are an emerging technology with vehicle. As a subset of Mobile Ad-hoc Network (MANET) application, VANET is considered to be a new phase of technology to the Intelligent Transportation System (ITS). VANET is a technology Using VANET vehicles can become aware of the dynamic behavior of other vehicles regardless of the driver's ability. In addition, infrastructure can obtain situational awareness at various levels of detail to manage traffic and potentially send emergency services. When traffic jam occurred in pick hour, vehicle in that area should be able to give a way to emergency services such as ambulance. Such traffic happened every day in Jakarta especially on weekdays. This research focused on designing the traffic condition and analyzing the routing protocol for VANET for Jakarta smart cities. Before implementing VANET in Jakarta, simulation using NS2 was conducted with two environment scenes. The first environment scene was the vehicle move one by one on each intersection. The second environment scene was the vehicle move in the opposite direction. The number of mobile nodes used in the environment scene as vehicle and infrastructure were 50, 100, 150, 200, 250, 300, and 350. we set 10 nodes as infrastructures for all number of mobile nodes used in the simulation and the remaining nodes as vehicles. We used more nodes as vehicle because the number of vehicles in the Jakarta was higher than the number of infrastructures. The network area used in this simulation was 2000x2000. We used constant bit rate (CBR), two ray ground propagation and omni antenna to simulate the environment scenes. The routing protocols used in this research were Ad-hoc On-Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and Destination Sequenced Distance Vector (DSDV). The result of this research showed that AODV achieved the highest throughput and the best packet delivery ratio. The lowest end-to-end delay was achieved by DSDV. Accordingly, simulation result showed that AODV has the best performance and preferable routing protocol of VANET for Jakarta environments.
Magnetic Field of 1200kv Transmission Line by FEM & MATLAB
Authors:   Associate Professor, Department of Electrical Engineering, The M.S. University of Baroda, Vadodara, India., Deshpande Mrs. Anuradha , Arora Mr. Akibahemad ,   PG Student, Department of Electrical Engineering, The M.S. University of Baroda, Vadodara, India.
Published: November 2019

With rapid industrial and commercial growth and flourishing population, power demand is increasing rapidly. Modern methods of UHV transmission lines are important to transmit bulk amount of power more efficiently in comparison to earlier methods of transmission. 1200 KV UHV transmission line is India future and therefore forthcoming project to tackle this situation. However as line to line voltage level increases, complexity of the transmission line increases. But, with higher level of line to line voltage, complexity of transmission line increases. ROW is one of the major concerns with transmission lines. Many parameters need to take care in designing; one of them is a magnetic field distribution at surroundings of transmission line. India has initiated to expand its UHV range to 1200kv. Paper suggest magnetic field of three configurations of the 1200KV line. Horizontal and vertical configuration test lines have been installed. Analysis has been done by two methods finite element method and (Method of images) analytical method. FEM is used to solve partial differential equations. Results from both methods have been compared. 3D electric field analysis of configuration also performed. Plotted results are compared with ICNIRP standards and safety limits defined. Adverse effects of excess magnetic field is also discussed. Biological effects of electromagnetic field on people, animals and plants are also discussed. Thus paper aimed at magnetic field calculation and verification with respect to standard. It also helps to utilize less right of way. The subject is under broad development due to its advantages over lower voltage levels and holds significance in future as well.
Climate Change Impact on Annual and Monthly Rainfall on Bhadar River Basin, India using Linear Regression and Innovative Trend Method
Authors:   Civil Engineering Department, Faculty of Technology & Engineering, Vadodara, India., Joshi* Geeta S. , Rughani Dhaven ,   Civil Engineering Department, Faculty of Technology & Engineering, The Maharja Sayajirao University of Baroda, Vadodara. India., Rana Vijay M. ,   Civil Engineering Department, Faculty of Technology & Engineering, The Maharaja Sayajirao University of Baroda, Vadodara, India.
Published: November 2019

Bhadar is one of the major rivers of Kathaiwar (Saurashtra) peninsula in Gujarat, India. It originates near Vaddi (Aniali Village) about 26 km north – west of Jasdan in Rajkot district of the state of Gujarat, India at an elevation of 261 m above mean sea level. Impact assessment of climate change over Bhadar river basin is carried out using two statistical methods of Trend Analysis i.e. linear Regression, and Innovative Trend method. Effect of climate change on annual rainfall and monthly rainfall are studied. Results show that there is an overall increase in annual rainfall trend in Bhadar river basin/catchment area at all stations except one station. The results for monthly rainfall show that the rainfall in the month of July and September shows increasing trend at all stations. The results obtained using Linear Regression and Innovative Trend method are found to be consistent.
Factors Affecting Traffic Management using Two Step Cluster
Authors:   (Research Scholar), Amity Business School, Amity University Noida, India, Yaduvanshi Rachna , Bansal Prof (Dr) Sanjeev ,   Amity Business School, Amity University Noida, India, Kumar Dr Anita ,   Amity Business School, Amity University Noida, India
Published: November 2019

The concept of traffic congestion and traffic management is ambiguous in nature. The traffic and congestion is dependent on a number of factors that might impact the stretch of road or the framework of the traffic management systems. As the evolution of internet in last one decade and its reach to the very last person on this planet, this provides the basket of new opportunity of managing the traffic and its patterns on the basis of live traffic data from the onsite cameras, sensors, and the google maps traffic forecast the situation of traffic congestion would be avoided, which directly helps in reducing the load on environment and saving some valuable time of the commuters, and indirectly having large savings on the countries resources. In this research paper the authors have identified the factors affecting the management, flow, and working of traffic on the toll roads, national highways, and dedicated fright corridors in specific from the literature. The identified factors have been analyzed using quantitative statistical tools such as: relative importance index, Cronbach’s alpha, and cluster analysis to know the predictor importance. For this study a total of 192 valid responses were received using structured questionnaire survey. On the basis of data analysis the recommendation have be drawn and shared with the government authorities to be implemented on the highways to facilitate the commuters and all the other stakeholders associated with the traffic and traffic management. The findings of the relative importance index conclude that the most significant attributes of traffic management are No tolling for e-vehicles, use of information boards to avoid any traffic situations, and savings on fuels. Furthermore the findings of the cluster analysis concludes that the most important predictor is no-tolling for e-vehicles, followed by savings on fuels.
Performance Analysis of Three-Phase Controlled Rectifier in various Switching Angles
Authors:   Department of Electrical Engineering Universitas Negeri Padang, Sumatera Barat Indonesia., Krismadinata
Published: November 2019

This paper discusses the performance analysis the characteristics of three-phase controlled rectifier parameters based on various switching angles. The phase delay method with various switching angles is employed to generate output voltage. Analysis of calculations is engaged to determine the various desired parameters. Voltage and current waveforms both input and output side are considered. The analysis are verified by simultion. The results show that the calculation results and simulation results are the similarly.
Reference Waveform Generation Techniques for Series Compensators
Authors:   Electrical Engineering Department, Government college of Engineering, Amravati, India., Sharma R.B.
Published: November 2019

Series compensators are implemented in power system to overcome the power quality issues like voltage dip (sag) and voltage swell. Series compensators such as Dynamic Voltage Restorer have demonstrated their effectiveness in enhancement of power quality. The control techniques for these devices underwent the progressive changes as per industry needs. Control techniques can be majorly classified as frequency domain (s-domain) and time-domain techniques. In the time-domain algorithm reference signal generation is important step for successful implementation of algorithm. In this paper the two reference generation methods namely Synchronous Reference Frame (SRF) method and Unit Vector template (UVT) method are analyzed and compared for their suitability considerations.
Consecrate Recurrent Neural Network Classifier for Autism Classification
Authors:   Assistant Professor, Department of Computer Science, SRM Trichy Arts & Science College, Trichy., Padmapriya S. , Murugan S. ,   Associate Professor, Department of Computer Science, Nehru Memorial College, Puthanampatti.
Published: November 2019

Most recent discoveries in Autism Spectrum Disorder (ASD) detection and classification studies reveal that there is a substantial relationship between Autism disorders and gene sequences. This work is indented to classify the autism spectrum disorder groups and sub-groups based on the gene sequences. The gene sequences are large data and perplexed for handling with conventional data mining or classification procedures. The Consecrate Recurrent Neural Network Classifier for Autism Classification (CRNNC-AC) work is introduced in this work to classify autism disorders using gene sequence data. A dedicated Elman [1] type Recurrent Neural Network (RNN) is introduced along with a legacy Long Short-Term Memory (LSTM) [2] in this classifier. The LSTM model is contrived to achieve memory optimization to eliminate memory overflows without affecting the classification accuracy. The classification quality metrics [3] such as Accuracy, Sensitivity, Specificity and F1-Score are concerned for optimization. The processing time of the proposed method is also measured to evaluate the pertinency.
Sensor Data Collection and Its Architecture with Internet of Things
Authors:   Research-Scholar, Bharath University, Chennai, Tamil Nadu, India, Karthikeyan RR , Raghu Dr. B ,   Principal, SVS Groups of Institutions, Warangal, Telangana, India
Published: November 2019

Sensors are gadgets, which can screen temperature, moistness, weight, commotion levels, setting mindfulness, lighting condition and identify speed, position, and size of an Object. Sensor information are getting accumulated in gigantic amount thus they are overseen utilizing NOSQL. The information will be gathered in an IOT cloud stage where it will be additionally prepared with machine learning methods for prescient examination. What's more, eventually with the required answer for the business structure will be created. This paper explain the proposed system for IoT data collection with AWS (Amazon Web Service) cloud platform. Various system components like Kinesis stream, M2M platform, Notification service and secured IoT service layout. The complete BMS system architecture is detailed in this paper.
Sparse Finite Impulse Response Low Pass Filter Design using Improved Firefly Algorithm
Authors:   Department of ECE, BIET, Jhansi, India, Srivastava Savita , Dwivedi Atul Kumar ,   Department of ECE, BIET, Jhansi, India., Nagaria Deepak ,   Department of ECE, BIET, Jhansi, India.
Published: November 2019

In this work, optimal sparse linear phase Finite impulse response filters are designed using swarm intelligence-based Firefly optimization algorithm. Filters are designed to meet the desired specification with fixed and variable sparsity. The objective function is formulated consisting of three parameters, i. e., maximum passband ripple, maximum stopband ripple and stopband attenuation. The effectiveness of the proposed method is evaluated in two stages. In first stage, the designed filters have been compared with non- sparse in terms of deviation in their specification. The Comparative analysis depicts that the proposed approach of sparse linear phase FIR filter design method performs better than the conventional methods without significantly deviating from the desired specification. The proposed designed filter is then implemented on xilinx ISE14.7(Vertex7) design environment and their performance is compared in terms of time delay, resource utilizaion and frequency of operation. In the second stage, designed sparse FIR filters are compared with earlier state of art sparse FIR filters design techniques.
Tribological Properties on P91 Alloy Steel Treated With Normalizing & Carburizing Process
Authors:   PG & UG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Rahel Md. , Tadepalli Lakshmi Deepak ,   PG & UG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Balubai M. ,   Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Reddy K.Sunil Kumar ,   Associate Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India, Subbiah Dr.Ram ,   Associate Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India
Published: November 2019

An Experimental analysis was undertaken to analyze the changes in the Mechanical Properties and Microstructure of P91 steel, subjected to Normalizing and Carburizing heat treatment Processes keeping in mind the potential capabilities of P91 steel as the base metal due to its wide applications in Boilers manufacturing. P91 is a type of alloy steels having high hardness and wear resistance suface. The heat treatment processes were carried out in the present experimental procedure at constant temperature and for different timings like 60 minutes, 90 minutes and 120 minutes. Hardness of the specimen was tested by using Rockwell Hardness test. A pin on disc machine was used to conduct the wear test. Wear test was carried out on treated P91 steel on various parameters like variable load and constant speed. The Microstructural results are concluded with SEM (Scanning Electron Microscope) and XRD (X-Ray diffraction) techniques.
Effective Photovoltaic Integration and Power Quality Improvement on Parallel Feeders using Dynamic Multi Converter Controller
Authors:   Research Scholar, JNT University Anantapur, Ananthapuramu, A.P., India, Gunavardhan* K. , Reddy Dr. I. Prabhakar ,   Professor, Department of EEE, N.B.K.R.I.S.T, Vidyanagar, Nellore, A.P., India., Sujatha Dr. P. ,   Professor, Department of EEE, JNTU College of Engineering, Ananthapuramu, A.P., India
Published: November 2019

Growing phase of industry and living standards in modern world brings drastic changes in modern utility structure and control. Gradually, green sources takes place of traditional sources and aids the current utility power delivery for consumer loads. Green source and more sensitive loads integration to grid demands effective controller and reliable grid structure. In this paper, an effective grid structure with dynamic multi converter controller is proposed to alleviate disturbances in current and voltage on parallel feeders simultaneously. Soft computing based controller effectively integrates the photovoltaic green source and utilizes the power generated to aid the controlling action and to provide the desired power required on lines. Dynamic multi converter controller takes care of current and voltage disturbance alleviation, green source power integration and harmonics suppression on parallel lines under distorted & balanced and distorted & unbalanced source conditions. Performance of proposed Dynamic Multi Converter Controller with traditional and soft computing techniques is studied and compared in MATLAB/SIMULINK platform.
Digitization of Documented Ecg Signals using Image Processing
Authors:   Assistant Professor, Department of Electronics and Telecommunication, Shri Gulabrao Deokar College of Engineering, Jalgaon, INDIA, Karhe Prof.Rajesh.R. , Kale Dr.S.N. ,   Associate Professor, Department of Applied Science, Sant Gadge Baba Amravati University, Amaravati,INDIA
Published: November 2019

In order to implement the heart disease prediction algorithms, the scanned ECG images need to be digitized. The ECG image digitization from ECG images deals with converting the ECG images in to digital format which can be processed by heart disease prediction algorithms. To present the Heart disease prediction algorithms, the digital signals can be directly applied. In this paper we have presented an effective ECG digitization technique using Dijikstraw’s shortest path algorithm. The scanned ECG images are oversampled 8 times. Then ECG curve is traced using Dijikstraw’s shortest path algorithm. The shortest path computed represents the scanned ECG signal in digitized form which can be directly used for heart disease prediction. The proposed method gives the accurate digitization by reducing the complications of the digitization process
Accuracy Analysis of ANN Back Propagation, Neuro-Fuzzy, and Radial Basis Function: A Case of HDI Forecasting
Authors:   Department of Mathematics, Muhammadiyah University of Mataram, Mataram, Indonesia, Syaharuddin  , Pramita Dewi ,   Department of Mathematics, Muhammadiyah University of Mataram, Mataram, Indonesia, Nusantara Toto ,   Department of Mathematics, State University of Malang, Malang, Indonesia, Subanji  ,   Department of Mathematics, State University of Malang, Malang, Indonesia.
Published: November 2019

One measure of the progress of a region or country is the increase in the Human Development Index (HDI) which includes life expectancy, per capita income, and old school expectations. HDI becomes an essential reference in time-series data, so it needs to be done forecasting process with reliable method. We use HDI data as much as the last nine years in West Nusa Tenggara province, which is one of the regions with the highest HDI acceleration in Indonesia in recent years. We do forecasting by comparing three methods namely Back Propagation (BP), Neuro-Fuzzy (NF), and Radial base Function (RBF), covering forecasting with 3 models of training and testing on the Back Propagation method, 9 training and testing models on A Neuro-Fuzzy method, and 1 training and testing model in the Radial base Function method. While the parameter accuracy (error) used in this forecasting is Mean Square Error (MSE). Based on the results of the simulation obtained NTB province predictions in 2019 using the Back Propagation (BP) method of 67.46 (increased by 0.23%); The RBF method amounted to 67.3 (fixed); and the NF method of 67.18 (decreased by 0.17%). From these results, the conclusion that in this case, the BP method is very good at doing simulation and decision-making results. The results were obtained from simulated data witt type training TRAINGDA, TRAINGDX, and TRAINRP. But simulation using type TRAINRP has the best parameter output with a performance (R) of 0.99194, a validation check of 1000, a gradient of 13.8, and a level of accuracy of 99.39%.
Enhanced Recommendation System in Community–Question-Answering Websites using Splay-Tree Methodology
Authors:   Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Chennai, India., R Jayashree
Published: November 2019

In community-driven ranking systems participants with superior scores acquire strong reputation than low scored participants. The community-question-aswering websites, like stackexchange network, participants with unreciprocated or unnoticed questions for a long time get a badge called tumbleweed without taking into account of their earlier period performance. The user-driven question and answering website considers this reward as a consolation prize and discourages them instead of encouraging. Mostly, the users who ask unnoticed questions are either a new or less scored participants. The center of attention of this research work is to propose a recommendation system that prevents unnoticed questions from the participants who are about to receive a tumbleweed badge. A splay-tree is a tree with a self-balancing ability which brings the newly accessed node to the apex of the tree. In this paper, the splay-tree correspond to participants’ ranks and the highlight of the work is to raise average or beneath average scorer to apex without disturbing existing toppers.
The Effect of Company Sizes, User Involvement of Information System, and Top Management Support on Accounting Information System Performance
Authors:   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Meiryani  , Islami Nofra Mega ,   Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Kashurnikov Sergey N. ,   Department of Economics, Financial University under the Government of the Russioan Federation, Moscow, Russia.
Published: November 2019

This research’s purpose is analyzing influence of the company’s size, the use of information technology and top management’s support to the accounting information system’s performance. The sampling technic that was used was random sampling. The sampling research involved 88 employees that use computerized accounting information system. Data was collected through questionnaire. Data analysis technics that were used were realiability and validity test, normality test, multicollinearity test, heteroscedasticity test. The research’s results : 1) There was no significant influence from the company’s size toward the accounting information system’s performance, 2) There was no significant influence from involvement of information system users towards the accounting information system’s performance, 3) There was significant influence from management’s support towards accounting information system’s performance, 4) There was positive and significant influence from the company’s size, involvement of users and the top management’s support to the accounting information system simultaneously.
Design of Faster Fractal Image Compression using Intensity Mismatch Threshold
Authors:   Assistant Professor Dept. of ECE, Kalyani Govt. Engineering College , Kalyani , West Bengal, Hasanujjaman*  , Banerjee Arnab ,   Dept. of ECE, Kalyani Govt. Engineering College , Kalyani , West Bengal., Biswas Prof. U ,   University of Kalyani , West Bengal, Naskar Prof. M K ,   Jadavpur University , Kolkata
Published: November 2019

Within the domain of image processing the applications of the fractal image compression through the affine transform is rarely implemented. The major drawback it consists is its time consumptions in simulations as well as in hardware implementation. The reason behind this is its comparatively matching the range blocks with the varied number of domain blocks. Additionally, the compression ration obtained from this sets of techniques are much more that the other similar working techniques. In order to overcome, this drawback, here a concept of intensity mismatch searching techniques is intruded within this particular paper. While in the mean time, it only concluded in much reduce in time of searching for similar domain block form a pool. And also this technique does not affect within the compression ratio and PSNR measurement form the retrieved image. Further benefitted in hardware applications where the matters for time consumptions is a major factor.
Deep Neural Network Classifier in Breast Cancer Prediction
Authors:   Assistant Professor, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India., Poorani S. , Balasubramanie P. ,   Professor, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India.
Published: November 2019

The Breast cancer is the most life menacing disease among women. Early prophecy assurances the endurance of patients. In this work, first Deep neural network classifiers with different hidden layers with different nodes are used to explore the anthropometric information and blood investigation strictures and to predict the disease. Then machine learning algorithms such as SVM and Decision tree are also trained with the same data. Finally the performance of each classifier was deliberated. The pre-processed data of admitted patients with the breast cancer perception are used to train and test the classifiers. This article shack glow on the concert estimation based on right and erroneous data classification
An Information Technology-Based Learning to Reduce Math Anxiety in Solving Problem
Authors:   Department of Mathematics Education and Postgraduate Student of Mathematics Education, Universitas Wijaya Kusuma Surabaya and Universitas Negeri Surabaya, Surabaya, Indonesia., Soewardini Herfa Maulina Dewi , Setiyawan Hery ,   The lecturer of Mathematics Education Department Universitas Wijaya Kusuma Surabaya., Suhartono  ,   The lecturer of Mathematics Education Department Universitas Wijaya Kusuma Surabaya., Amin Siti Maghfirotun ,   Professor and Head of Postgraduate Doctoral Program of Mathematics Education Department, Universitas Negeri Surabaya, Jawa Timur Indonesia. Member of Organization: Indonesian Mathematics Society (IndoMS)., Bon Abdul Talib Bin ,   is Professor of Technology Management. He is a Lecturer at Department of Technology, Fakulti Pengurusan Teknologi dan Perniagaan, Universiti Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia.
Published: November 2019

Students who experience anxiety can influence how these students to think, reason, and do actions to solve problems in mathematics subjects, especially about triangles. The solution used to reduce the level of mathematics anxiety of students is to use an information technology-based learning. The purpose of this study is to describe whether information technology-based learning and communication can reduce mathematics anxiety of grade 7 students. This classroom action research consists of two cycles with the initial stage of setting targets for achieving indicators of research success. The results showed that the average level of anxiety of students classified as high, namely 92, then decreased to 82 in the first and 70 cycles at the end of the second cycle. While the percentage of implementation of information technology-based learning at the end of the first cycle was 80.25% and at the end of the second cycle was 91%.
Thermo-Hydraulic Performance Evaluation of Shell & Tube Heat Exchanger with Different Tube Geometries
Authors:   M.tech Student, School of Mechanical and Civil Engineering, MIT Academy of Engineering Alandi(D), Savitribai Phule Pune University, Pune, India,, Gadave Nikhil M , Kothmire Pramod P ,   Assistant Professor, School of Mechanical and Civil Engineering, MIT Academy of Engineering Alandi(D), Savitribai pune University, Pune, India
Published: November 2019

A heat exchanger is equipment that transfers heat energy from one fluid stream to another fluid stream across a solid surface by conduction and convection. Heat exchangers are used in air conditioning & refrigeration systems, power plants, automotive industries, chemical processing, waste heat recovery systems, and food industries. Shell & tube heat exchangers are the most widely used heat exchanger. Earlier many types of studies were carried out on baffle of heat exchanger, as the hydraulic performance of shell side of exchanger relies on baffle elements such as changing baffle types, baffle segments, baffle angles, baffle cuts, etc. are introduced. But only a few researches are concentrated on the tube side. In this paper, efforts have been made to design a shell & tube heat exchanger by using the kern method & referring TEMA standards. Also, the fluid flow behavior & heat transfer mechanism of shell & tube heat exchanger with four different cross-sections of the tubes i.e. Circular, Rectangular, Square & Triangular is numerically investigated using ANSYS-fluent. Numerical simulation was carried out for a single tube pass shell & tube heat exchanger with 25% baffle cut. Finally, from the simulation results, suggestions are made for the best geometry which gives the best thermo-hydraulic performance.
Machine Learning Technique Analysis and Applications for Predicting Student Performance
Authors:   Associate Professor, Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta., Madyatmadja Dr. Evaristus Didik , Susanto Albert Jonathan ,   Research Assistant, Information Systems Department, School of Information Systems, Bina Nusantara University.
Published: November 2019

Machine Learning is an emerging research field concerned with developing methods to answer uncommon problems. There are many problems that can be answered with Machine Learning method, one of them is on educational scope. Many Educators right now cannot identify whether a certain student is on the brink of failing or not. As a result, many college students failed because the educators cannot help them. In this paper, we present our user-friendly decision support tool made from Machine Learning algorithm and to answer the problem we focus, which is to prevent college student from failing by providing educational agents necessary information and predictions. Our objective is to know which machine learning algorithm that can be used to predict the student’s performance and to create a decision support tool that can be used by educational agents so that educational agents can prevent student from failing the course.
Fuzzy Based Data Gathering Model for Improving Network Lifetime in ADHOC Networking
Authors:   Computer Science and Engineering, KalaignarKarunanidhi Institute of Technology, Coimbatore, India., Deeba Dr.K. , Tamizharasi S. ,   Electronics and Communication Engineering, RVS College of Engineering and Technology, Coimbatore, India., Kumar T.Vinoth ,   Electrical and Electronics Engineering, RVS College of Engineering and Technology, Coimbatore, India.
Published: November 2019

In Adhoc Wireless Sensor Networks (AWSN), nodes are moving with less or high mobility. It is very difficult to Quality of Service (QoS) to achieve network performance. Paths can be identified based on network model and stable route formation. In a cluster region, data gathering ratio can be easily achieved but difficult to reach maximum level. In existing schemes, balancing between data gathering and security was not attained. In this paper, Fuzzy based Secure Data Gathering Approach (FSDGA) is proposed based on TDMA based scheduling and Asymmetric key crypto model. This approach consists of three phases. In first phase, cluster formation and cluster head election is done based on calculation of remaining energy and stability of nodes. In second phase, secure routes are identified with constant key metrics. In third phase, Fuzzy integrated Data transmission phase is installed to protect the data from attackers and improve the data collection rate. The performance of FSDGA is analysed using simulation tool in terms of energy conservation rate, propagation delay, data confidential rate, control overhead and data gathering ratio.
Acoustic Properties of Kapok Fibre
Authors:   Textile Engineering Department, The M. S. University, Baroda, India., Bhattacharya Prof.(Dr.) S. S. , Bihola D. V. ,   PhD Student of Textile Engineering, The M. S. University, Baroda, India. Presently working as a Assistant Prof. Textile Technology, L.D. College of engineering, Ahmedabad, India.
Published: November 2019

Noise pollution has become an important burning issue in today’s modern industrial era after Air and Water pollution. Noise adversely affects human health and decrease productivity in various environments. The present study tries to study the acoustic properties of natural hollow fiber-kapok to develop a cost-effective and eco-friendly sound absorbing material as an alternative of conventional sound absorbing material which is harmful to the environment. Therefore, sound absorbing material consist of a blend of Natural hollow fibres Kapok and Modal were used to produced needle-punched nonwoven fabrics. A nonwoven needle punch method to produce fabrics was selected due to its technical merits and low production cost. Different nonwoven needle punched samples were produced by varying blend ratio, web mass per unit area, needle stroke and needle depth. After conducting several pre-trial, designs of the experiment was plan using Response surface methodology - Central composite design (RSM-CCD) method. Sound absorption coefficients of the sample were measured at a different frequency of incident sound using impedance tube test method ISO 10534-2. It was observed that sample with a higher percentage of kapok fiber showed higher sound absorbency at higher Frequency of 2000 to 6000 HZ. It was also found sound absorption coefficient increased with the increased in mass per unit area, needle stocks and needle depth.
ECG Based Biometric using Wavelet Packet Decomposition
Authors:   school of applied science, Telkom University, Bandung, Indonesia., Hadiyoso Sugondo , Rizal Achmad ,   school of electrical engineering, Telkom University, Bandung, Indonesia., Wijayanto Inung ,   school of electrical engineering, Telkom University, Bandung, Indonesia.
Published: November 2019

Biometric technology has been commonly used for authentication. Fingerprint or iris become one of the biometrics that is widely applied. However, this type of biometrics tends to be easily falsified and damaged. So it is misused for manipulating actions and even crime. Therefore a new biometric method is needed to overcome this problem. One potential modality is biometrics based on an electrocardiogram (ECG) signal. This research simulates a one-lead ECG waveform for person authentication. ECG waves were taken from eleven healthy adult volunteers with a length of 60 seconds. ECG waves from each person are segmented into 10 sections so that a total of 110 ECG waves are used for person authentication simulations. All noise of the ECG waves was removed using a bandpass filter to reduce artifacts and high-frequency noise. Wavelet packet decomposition (3 Level) was applied to decompose the signal in several intrinsic parts so that typical wave information can be retrieved. Entropy-based feature extraction applied to all decomposed signals. A total of 14 entropy features have been calculated and used as predictors in the classification process. Validation and performance tests are carried out by cross-validation combined with linear discriminant analysis and support vector machines with five scenarios. The proposed method provides the highest accuracy of 71.8% using discriminant analysis and cubic support vector machine. The best accuracy value was achieved if all entropy features from all wavelet decomposition levels are used as predictors in the classification process. This research is expected to be a reference that ECG has the potential to become a future biometric modality.
A Hybridized Immune System for Avoidance of Wormhole Attacks in Manet
Authors:   Department of Computer Science, Chikkanna Govt., Arts College, Tirupur, Tamilnadu, India., Selladevi M. , Lathamaheswari T. ,   Department of Computer Application, Sri Krishna College of Engineering & Technology, Coimbatore, Tamilnadu, India., Duraisamy S. ,   Department of Computer Science, Chikkanna Govt., Arts College, Tirupur, Tamilnadu, India.
Published: November 2019

In Mobile Ad-hoc Networks (MANETs), the most challenging task is detecting and mitigating wormhole links during data transmission between the source and destination nodes. Since it requires special hardware, synchronized clocks, mobile nodes equipped with GPS, etc. To overcome these challenges, Artificial Immune System-based Improved Secure-aware Wormhole Attack Detection (AIS-ISWAD) technique has been proposed that considers maximum end-to-end delay, path length and system parameters for detecting wormhole attacks. To simplify the detection process, AIS has been used as a learning approach that learns those parameters to detect the wormhole links and select an alternative route for transmitting the data packets. However, an uncertainty problem is addressed in AIS during computation of affinity value between antibody and antigen. Also, route selection is still not satisfied since data transmission requires a high-performance stable path from source to destination nodes. Therefore, the main goal of this article is handling the uncertainty problem during affinity computation and selecting the high-performance stable paths to transmit the data. In this paper, a Fuzzy Logic and AIS-ISWAD (FLAIS-ISWAD) technique is proposed to improve the wormhole attack detection and mitigation. In this technique, all computed parameters are given to the FL system to handle the uncertainty problem and construct the high-performance stable paths among all available paths in the network. Also, AIS is applied as a learning method to identify and isolate the wormhole links/nodes in MANETs with the highest network performance. Finally, the performance of the FLAIS-ISWAD technique is evaluated and compared through simulation results in terms of different performance metrics.
Velocity Analysis of a Single Vertically Falling Non-Spherical Particle in Newtonian and Non-Newtonian Fluids
Authors:   Department of applied sciences, Adesh Institute of Engineering and Technology, Faridkot, Punjab (INDIA)., Kaur Harpreet , Rani Neeraj ,   Research scholar of I.K. Gujral Punjab Technical University, Kapurthala, Punjab (INDIA)., Garg B.P. ,   Department of applied sciences, Adesh Institute of Engineering and Technology, Faridkot, Punjab (INDIA).
Published: November 2019

An analytical investigation is applied for the velocity of a vertically falling non-spherical particle in Newtonian and non-Newtonian fluid. The velocity of vertically falling non-spherical particle can be described by the force balance equation (Basset-Boussinesq-Ossen equation). Variational Iterations Method (VIM) and Runge- Kutta 4th order method are used to solve the existing problem. The results were compared those obtained from VIM by R-K 4th order method. We obtained that VIM which was used to solve such non-linear differential equation with fractional power is simpler and more accurate than other methods. Analytical results indicate that the velocity in a falling procedure is significantly increased and more in Newtonian fluid. Also particle’s velocity in Newtonian fluid reaches early at terminal velocity as compare to non-Newtonian fluid. To obtain the results for all different methods, the symbolic calculus software MATLAB is used.
Design and analysis of Impedance Source based Asymmetric Inverter for PV application
Authors:   Department of Electrical Engineering, SOE, Cusat, Kerala, India., Sankar* Deepa , Babu C A ,   Department of Electrical Engineering, SOE, Cusat, Kerala, India.
Published: November 2019

A novel Impedance source seven level Asymmetric Multilevel topology for PV system is presented here. It comprises of a Quasi Z source network and Asymmetric Multilevel Inverter (QZ-AMLI) to synthesize better quality output with low THD. Quasi Z Source Converter (QZSC) with large voltage gain provides a positive boost voltage to an asymmetric multilevel inverter. Asymmetric structure offers large output levels with a smaller number of switches and input sources. QZS network parameters provide a regulated DC supply to the Asymmetric Multilevel inverter (AMLI). DC input magnitude of the inverter is decided by an algorithm. Switching signals are applied in proper sequence to generate required magnitude at the AC output. Regulated DC output voltages of 16V and 32V are obtained at the output of QZSC1 and QZSC2. 7 level inverter output with a magnitude of 48V is obtained by simulation using Matlab /Simulink. The system ensures lower switching losses, reduced gate drive circuitry and improved harmonic profile. Reduced switch and filter requirements lessen the cost of the system.
A Novel Security based Image Watermarking using NBP-IWT-DCT-NSVD-GA-PSO Algorithm
Authors:   Assistant Professor, Department., of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India., Reddi *Surya Prakasa Rao , Naick B Suribabu ,   Assistant Professor, Department., of ECE, GITAM (Deemed to be university), Visakhapatnam, India., Kumar Prof. P. Rajesh ,   Assistant Professor, Department., of ECE, GITAM (Deemed to be university), Visakhapatnam, India.
Published: November 2019

In this novel technique, a modified singular value decomposition named normalized singular value decomposition (NSVD) used for select the original image features to embedding the watermark image into these features. So, the quality of the original image won’t be affected. To select the Normalization Constant of NSVD, the optimization technique used is Genetic Algorithm (GA). In embedding stage, Particle Swarm Optimization (PSO) is used to optimize watermarking constant. Instead of these preliminaries the novel approach also used normalized block processing (NBP) to make the watermarked image more robust to rotation and flipping attacks. The various experiments are conducted on the novel approach to estimate the performance. The experimental results achieved good Robustness for most of the attacks compared to conventional approaches.
Design and Performance Improvement of CNTFET Based Content Addressable Memory (CAM) Cells
Authors:   Department of Electronics and Telecommunication Engineering, BMS Institute of Technology and Management, Bangalore-64 , India., Hajare* Raju , P Mallikarjunagowda.C. ,   Department of Electronics and Telecommunication Engineering, BMS Institute of Technology and Management, Bangalore-64, India.
Published: November 2019

The scaling down of transistors is of paramount importance to make ICs and devices more portable and efficient. As it is the most basic component of every electronic device, there is need of finding better and innovative methods of transistor characterization. CNTFET has shown the promise and is best suited for today’s faster digital processing units and Memory devices. Here Carbon Nano Tube (CNT) is characterized for its electrical property and then designed a XOR based CAM cell using CNTFET. Both delay and power analysis for the designed CAM is done.
Relaying Protocols for Wireless Energy Harvesting and Information Processing
Authors:   communication Techniques Engineering Department, Engineering Technical College-Najaf, AL-Furat Al-Awsat Technical University, Najaf, Iraq., Malik Nada Taher , Abdulsadda Ahmad T ,   communication Technical Engineering Department, Engineering Technical College-Najaf, AL-Furat Al-Awsat Technical University, Najaf, Iraq., Yasiri. Prof. Dr. AbdulKadum Jafar Al ,   communication Technical Engineering Department, Engineering Technical College-Najaf, AL-Furat Al-Awsat Technical University, Najaf, Iraq.
Published: November 2019

Most of the ongoing exploration in wireless relay node networks and data preparing has considered point-to-point correspondence system. In remote helpful or then again sensor organizes, the hand-off or sensor relay node may have restricted battery holds and may need to depend on some outside charging component so as to stay dynamic in the system. Along these lines, vitality reaping in such systems is especially significant as it can empower data handing-off. In this thesis, we are worried about the issue of remote vitality collecting and data preparing in an intensify and-forward (AF) remote agreeable or sensor arrange. We consider the situation that a vitality obliged hand-off relay node harvests vitality from the RF sign communicated by a source node and utilizations that reaped vitality to advance the source signal to a destination node. We consider time switching (TS) and power switch (PS) scheme structures. we propose two transferring conventions: i) TS-based handing-off (TSR) convention and; ii) PS-based handing-off (PSR) convention for discrete data handling and vitality reaping at the vitality compelled wireless relay node. The primary commitments of this thesis are abridged as pursues: • We propose the TSR and the PSR conventions to empower remote vitality reaping and data handling at the vitality obliged transfer in remote AF transferring systems, in light of the TS and PS collector structures. • For the TSR and the PSR conventions, we determine logical articulations for the reachable throughput at the goal. • Comparing the TSR and the PSR conventions, our numerical investigation demonstrates that in postponement restricted transmission mode, the throughput execution of the TSR convention is better than the PSR convention at higher transmission rates, at generally lower signal-to-commotion proportion (SNR), and for lower vitality gathering productivity. • We propose the combination ATPSR system and demonstrate the optimal throughput for that system. • Finally, design and built the hardware circuit and using particle swarm optimization techniques to find the optimal value for the parameters.
Image Segmentation using Improved Genetic Algorithm
Authors:   Research scholar of Gurukul Kangri Vishvidhalaya Haridwar, Uttrakhand, India., Kumari Roopa , Gupta* Neena ,   Assistant Professor, Gurukul Kangri Vishvidhalaya Haridwar, Uttrakhand, India., Kumar Narender ,   Assistant Professor, Hemvati Nandan Bahuguna Garhwal University, Srinagar GarhwalUttarakhand, India.
Published: November 2019

Segmentation of image is a complex task. To recognize an image, segmentation is essential parts. During image segmentation, subsets of images on the basis of some features like gray levels values of pixels or position of pixels find out. This is an NP-complete problem, to find the solution to such problems is a computationally hard task. Some heuristic algorithm can be used to find out the solution to such a hard task. These algorithms find approximate solutions. Exact solution of such problems is not possible. Genetic algorithm can be considered a metaheuristic algorithm used the evolution of the population of solutions. This paper proposedan improved Genetic Algorithm that used to find multi-level thresholding segmentation of the image. The threshold value can be calculated by cumulative histogram and satisfactory result have been given by the experiments done on test images that are taken from Mnist datasets.