bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chemical by-Product Diagnostic Technique for Gas Insulated Switchgear Condition Monitoring
Authors: Ibrahim Visa Musa , Abdul-Malek Zulkurnain , Muhamad Nor Asiah 
Published: January 2019

<p>Chemical by product diagnostic technique is an efficient, cost-effective and reliable diagnostic technique for gas insulate switchgear condition monitoring in view of its high sensitivity and anti- internal and external electromagnetic interference and noise. In this research paper, coaxial simulated gas insulated switchgear chamber and four different types of artificial defect were designed to cause partial discharge that will simulate the decomposition of sulphur hexafluoride gas in the chamber when energize. Fourier transform infrared spectrometer was used as the method of chemical by-product technique to detect the SF<sub>6</sub> decomposition product and its concentration. Different numerous by-products were detected (SO<sub>2</sub>, SOF<sub>2</sub>, SO<sub>2</sub>F<sub>2</sub>, SO<sub>2</sub>F<sub>10</sub>, SiF<sub>4</sub>, CO, C<sub>3</sub>F<sub>8</sub>, C<sub>2</sub>F<sub>6 </sub>) under this experiment using four different types of defect and the by-products differs with the type of defect and the generation rate. Gas insulated switchgear health condition can be feasibly diagnosed by analyzing the decomposition products of SF<sub>6</sub> to identify its fault.</p><p> </p>
The Study of User Acceptance Toward E-Learning System in Higher Education
Authors: Sensuse Dana Indra , Napitupulu Darmawan Baginda 
Published: January 2019

<p>E-learning is a model of delivering learning content electronically with the help of computers and multimedia. ABC University has implemented the e-learning system for two (2) years in order to improve the quality of teaching and learning process. This study aims to determine the level of user acceptance, especially from the perspective of students. In other words, this study also wants to evaluate the implementation of e-learning systems in higher education as well as identifying any factors that encourage students to use e-learning system especially in ABC University. The research method used was survey with the approach of TAM (Technology Acceptance Model) as the technology acceptance evaluation model consisting of two main factors: perceived ease of use and perceived usefulness. The results showed perceived usefulness significantly positive influence on user acceptance, while perceived ease of use did not significantly influence on user acceptance. The perceived ease of use also significantly positive influence perceived usefulness. The variance of user acceptance could be explained by two factors about 50.5%. </p>
Modeling, Analysis and Comparative of Down Sampling based Clamping SV PWM for Cascaded and Diode Clamped Multilevel Inverter fed Induction Motor Drive
Authors: Bhukya Ravikumar , Kumar P. Satish 
Published: January 2019

This paper presents investigation and performance analysis of novel down sampling based clamping SV PWM technique for diode and cascaded Multi-level Invereter fed to Induction motor drive. A novel down sampling based clamping SVPWM has developed by adding triangular off set to sinusoidal fundamental waveform is modified by down sampling the reference wave by order of 10 so this technique is called clamping space vector pulse width modulation techniques such as PD, POD and APOD. so as to shift the lower order harmonics to higher order side. This novel carrier is compared with the offset injected space vector reference waveform to generate the required PWM pulses to the inverter. To analyze the performance of the proposed PWM technique it is implemented on seven level diode and cascaded Multi-level Inverter using Matlab/Simulink software tool for output line, phase voltage, currents, speed, torque and Total harmonic distortion analysis.
Learning Based Route Management in Mobile Ad-Hoc Networks
Authors: Desai Rahul M , Patil B P , Sharma Davinder Pal 
Published: January 2019

Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, dynamic source routing are optimized versions of distance vector or link state routing protocols. Reinforcement Learning is new method evolved recently which is learning from interaction with an environment. Q Learning which is based on Reinforcement learning that learns from the delayed reinforcements and becomes more popular in areas of networking. Q Learning is applied to the routing algorithms where the routing tables in the distance vector algorithms are replaced by the estimation tables called as Q values. These Q values are based on the link delay. In this paper, various optimization techniques over Q routing are described in detail with their algorithms.
Crowd Anomaly Detection Using Motion Based Spatio-Temporal Feature Analysis
Authors: G M Basavaraj , Kusagur Ashok 
Published: January 2019

<p>Recently, the demand for surveillance system is increasing in real time application to enhance the security system. These surveillance systems are mainly used in crowded places such as shopping malls, sports stadium etc. In order to support enhance the security system, crowd behavior analysis has been proven a significant technique which is used for crowd monitoring, visual surveillance etc. For crowd behavior analysis, motion analysis is a crucial task which can be achieved with the help of trajectories and tracking of objects. Various approaches have been proposed for crowd behavior analysis which has limitation for densely crowded scenarios, a new object entering the scene etc. In this work, we propose a new approach for abnormal crowd behavior detection. Proposed approach is a motion based spatio-temporal feature analysis technique which is capable of obtaining trajectories of each detected object. We also present a technique to carry out the evaluation of individual object and group of objects by considering relational descriptors based on their environmental context. Finally, a classification is carried out for detection of abnormal or normal crowd behavior by following patch based process. In the results, we have reported that proposed model is able to achieve better performance when compared to existing techniques in terms of classification accuracy, true positive rate, and false positive rate.</p>
Adaptive Angular-sector Segmentation Radar Target Recognition based on Grey System
Authors: Yongsheng Xiao , Lizhen Huang , Jianjiang Zhou 
Published: January 2019

<p>The aspect sensitivity of high-resolution range profile (HRRP) leads to the anomalous change of the HRRP statistical characteristic, which is one of inextricable problems on the target recognition based on HRRP. Aiming at the HRRP statistical characteristic, an adaptive angular-sector segmentation method is proposed through based on the grey relational mode. Comparing to the equal interval angular-sector segmentation method, the new method improves the recognition performance. And these simulation results of five kinds of aircraft targets HRRPs prove the feasibility and validity.</p>
Routing Protocols for Mobile Ad Hoc Network - A Survey and Analysis
Authors: Desai Rahul M , Patil B P , Sharma Davinder Pal 
Published: January 2019

<p class="Default">Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols. In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.</p>
Software Aging Forecasting Using Time Series Model
Authors: Umesh I M , Srinivasan G N , Torquato Matheus 
Published: January 2019

<p class="Normal1">With the emergence of virtualization and cloud computing technologies, several services are housed on virtualization platform. Virtualization is the technology that many cloud service providers rely on for efficient management and coordination of the resource pool. As essential services are also housed on cloud platform, it is necessary to ensure continuous availability by implementing all necessary measures. Windows Active Directory is one such service that Microsoft developed for Windows domain networks. It is included in Windows Server operating systems as a set of processes and services for authentication and authorization of users and computers in a Windows domain type network. The service is required to run continuously without downtime. As a result, there are chances of accumulation of errors or garbage leading to software aging which in turn may lead to system failure and associated consequences. This results in software aging. In this work, software aging patterns of Windows active directory service is studied. Software aging of active directory needs to be predicted properly so that rejuvenation can be triggered to ensure continuous service delivery. In order to predict the accurate time, a model that uses time series forecasting technique is built.</p>
Energy Power Plant in Electric Power Distribution Systems Equipping With Distance Protection
Authors: Goh Hui Hwang , Sim Sy yi , Diblawe Dahir Khere , Ali Mortar Mohamed , Ling Chin Wan , Chua Qing Shi , Goh Kai Chen 
Published: January 2019

<p>This paper suggests the theory of distance protection criteria in power distribution systems for power plant generation. Multi-developed countries have energy power plants that placed in remote areas which are far from the grid line. Hence, they should be coupled to the low power transportation systems necessarily. While higher-rating relays are adopted to preserve feeders at power substations, fuses are merely obtainable outside on feeder channel. The safe system process, space protection is dispatched to save feeders. In this review, feeders with distance relays are equipped, together with over-current protection relays and fuses. Energy power plant having distance protection system is designed the implemented system was a 6-MW unit of compressed power energy reproduction. The sample feeder was shortened to be equal four-bus experiment feeder for transmitting resolution. The fault currents have chances adopted to form protecting regions of distance relays. Protection of the power line through the designed power plants for distance relaying can decrease problem in relay location because of the impedance-based location of the distance relay. </p>
A Review of Lightning Protection System - Risk Assessment and Application
Authors: Goh Hui Hwang , Sim Sy yi , Shaari Jamil , Azali Noor Atiqah , Ling Chin Wan , Chua Qing Shi , Goh Kai Chen 
Published: January 2019

<p> A lightning strike could bring thousands mega-ampere of current in a blink of eyes. As a result, a failure of grounding the strike may cause serious damage to the home and industrial appliances and gadgets. Hence, a lightning protection system is essential to the current transmission system. Lighting is a natural phenomenon that is unavoidable. Hence, the study of the properties and characteristics of lightning is a must in designing lighting protection system. Every application has different criteria to be fulfilled. The type of lighting protection system is categorized based on the location and user. The different of location is a public area, transportation system, power system transmission and generation system which include renewable energy source. Each area can conclude different level of protection. This paper is assessing the possibility and probability of transient impact on all applications including, public area, power system line, and generating system. The review includes countermeasure which addressed few steps to determine the effect of lightning and countermeasure of protection.</p>
Loss Of Excitation (LOE) Protection of Synchronous Generator
Authors: Goh Hui Hwang , Sim Sy yi , Abd Samat Mohd. Nasri , Mohamed Ahmad Mahmoud , Ling Chin Wan , Chua Qing Shi , Goh Kai Chen 
Published: January 2019

<p>Synchronous generators require certain protection against loss of excitation because it can lead to harmful effect to a generator and main grid. Systems of powers are evolving with applications of new techniques to increase reliability and security, at the meantime techniques upgradation is being existed to save financial cost of a different component of power system, which affect protection ways this report discuss the way of loss of excitation protection scheme for an increase in a synchronous generator. It is obvious that when direct axis synchronous reactance has a high value, the coordination among loss of excitation protection and excitation control is not effective. This lead to restricting absorption capability of the reactive power generator. This report also reviews the suitable philosophy for setting the limiters of excitation and discusses its effect on loss of excitation protection and system performance. A protection scheme is developed to allow for utilization of machine capability and power swing blocking is developed to increase the reliability when power swing is stable.</p><p><em> </em></p>
Evaluation of Standard Reference Environment for Photovoltaic Nominal Operating Cell Temperature Testing in Malaysia
Authors: Hanifah M. M. M. , Zainuddin H. , Hussin M. Z. 
Published: January 2019

<p>This paper presents six months evaluation in determining Standard Reference Environment (SRE) for Photovoltaic (PV) Nominal Operating Cell Temperature (NOCT) testing of IEC61215 and IEC61646 that suits Malaysian climate. The SRE is established based on the median environmental conditions in Malaysia when solar PV is producing power. The site of the study is located at the Energy and Environment Field Lab, Universiti Teknologi MARA (UiTM) Shah Alam(3.066239ºN, 101.491685ºE). Three types of PV module technologies involved are monocrystalline, polycrystalline and copper indium diselenide (CIS) thin film. The experimental setup is a test bed that meets the IEC61215, IEC61646 and IEC61724 requirements. The measurements of module temperature (MT) and open circuit voltage (V<sub>OC</sub>) are taken simultaneously for the three PV module technologies together with other ambient parameters of solar irradiance(SI), ambient temperature(AT), relative humidity(RH), wind speed (Ws) and wind direction(Wd). The data set is taken for a six months period from February 2017 to July 2017. Based on the results obtained, a new proposed SRE of NOCT testing for IEC61215 and IEC61646 has been established to suit Malaysian climate. The SI and AT values for the SRE are 300W/m<sup>2</sup> and 31°C respectively.</p>
An Edge Exposure using Caliber Fuzzy C-means With Canny Algorithm
Authors: Jeyaraman Gowri , Subbiah Janakiraman 
Published: January 2019

<p>Edge exposure or edge detection is an important and classical study of the medical field and computer vision. Caliber Fuzzy C-means (CFCM) clustering Algorithm for edge detection depends on the selection of initial cluster center value. This endeavor to put in order a collection of pixels into a cluster, such that a pixel within the cluster must be more comparable to every other pixel. Using CFCM techniques first cluster the BSDS image, next the clustered image is given as an input to the basic canny edge detection algorithm. The application of new parameters with fewer operations for CFCM is fruitful. According to the calculation, a result acquired by using CFCM clustering function divides the image into four clusters in common. The proposed method is evidently robust into the modification of fuzzy c-means and canny algorithm. The convergence of this algorithm is very speedy compare to the entire edge detection algorithms. The consequences of this proposed algorithm make enhanced edge detection and better result than any other traditional image edge detection techniques.</p>
Pulse Density Modulation Flyback Converter for LED Automotive Lighting
Authors: Rohit Shinde , Gunabalan Ramachandiran , Pavan Kumar Mehtra 
Published: January 2019

<p><em> </em><em>Switched mode power supply (SMPS) converter is a dc-dc power electronic converter which is used to step up or step down the dc output voltage. A dimmable driver circuit for Light Emitting Diode (LED) lamp for automotive lighting with dimming feature is used in this paper. A flyback converter is used as a driver circuit operated in discontinuous conduction mode to perform dimming control of LEDs. High overall circuit efficiency is achieved by regulating the current through the LED lamps using pulse density modulation scheme.</em><em> The </em><em>LED driver circuit design and operating principle is discussed in detail. A gentle current control feature is achieved by pulse density modulation technique. The high performance driver circuit is designed for 25 W LED lamps.</em><em> </em></p>
Online Performance Monitoring of Grid-Connected Photovoltaic System using Hybrid Improved Fast Evolutionary Programming and Artificial Neural Network
Authors: Nor Ashikin Megat Yunus Puteri , Irwan Sulaiman Shahril , Maliki Omar Ahmad 
Published: January 2019

<p>This paper presents the development of online performance monitoring methods for grid-connected photovoltaic (GCPV) system based on hybrid Improved Fast Evolutionary Programming and Artificial Neural Network (IFEP-ANN). The approach has been developed and validated using previous predicted data measurement. Solar radiation (SR), module temperature (MT) and ambient temperature (AT) has been employed as the inputs, and AC output power (PAC) as the sole output to the neural network model. The actual data from the server has been called and uploaded every five minute interval into Matlab by using FTP (File Transfer Protocol) and the predicted AC output power has been produced based on the prediction developed in the training stages. It is then compared with the actual AC output power by using Average Test Ratio, AR. Any predicted AC output power less than the threshold set up, indicates an error has been occurred in the system. The obtained results show that the hybrid IFEP-ANN gives good performance by producing a sufficiently high correlation coefficient, R value of 0.9885. Besides, the proposed technique can analyse and monitor the system in online mode. </p>
Towards Scalable Algorithm for Closed Itemset Mining in High-Dimensional Data
Authors: Zaki Fatimah Audah Md. , Zulkurnain Nurul Fariza 
Published: January 2019

<p>Mining frequent itemsets from large dataset has a major drawback in which the explosive number of itemsets requires additional mining process which might filter the interesting ones. Therefore, as the solution, the concept of closed frequent itemset was introduced that is lossless and condensed representation of all the frequent itemsets and their corresponding supports. Unfortunately, many algorithms are not memory-efficient since it requires the storage of closed itemsets in main memory for duplication checks. This paper presents BFF, a scalable algorithm for discovering closed frequent itemsets from high-dimensional data. Unlike many well-known algorithms, BFF traverses the search tree in breadth-first manner resulted to a minimum use of memory and less running time. The tests conducted on a number of microarray datasets show that the performance of this algorithm improved significantly as the support threshold decreases which is crucial in generating more interesting rules.</p>
Integrated Engineering Project Management Approach for Typical Small to Medium Manufacturing Companies
Authors: Adesta Erry Yulian Triblas , Abdullah K B Mohammed , Alazemi Yahya A 
Published: January 2019

<p>The aim of this paper is to identify the problem extents and successfully applying project management in SMEs with a focus on manufacturing industries. The organization of the study was mainly divided into the activity of literature study and the investigation through a survey conduct aimed to measure the awareness and implementation of project management at the selected SMEs in Malaysia. The questionnaire was designed with a section (Section A) involving project management in general and another section (Section B) involving the implementation of it. It was found that the level of awareness and implementation of project management especially in the selected small and medium manufacturing companies in Malaysia was quite satisfying. Most of the manufacturing companies were implementing project management, but the level was depending on the organization in the company itself.</p><p> </p><em></em>
GIS Based Satellite Image Denoising Using Curvelet Transform
Authors: Sinthuja S. , Saravanan Santhosh 
Published: January 2019

<p>Generally, satellite images contain very significant information about geographical features such as rivers, roads, building and bridges etc of the earth. Geographic Information System (GIS) requires these features for automatic detection and it has been corrupted by various types of noise. Curvelet Transform (CT) is used in the proposed system for denoising the images. Advantages of multi resolution image such as line, compatibility of human visual system and edge detection are provided. Then K-Means clustering is used in this system for segmentation purpose after the pre processing done.</p><p>First, K-Means algorithm is used for segmenting background and water then extraction of bridges is done based on pixel intensity difference. </p>
A Review of Social Media: In Future
Authors: Tarik Mahendra Kumar Sheth 
Published: January 2019

<p>Most recent couple of years a few new systems administration locales wound up plainly famous (WhatsApp, Google Plus, Instagram), the utilization base developed significantly, and Facebook purchased over some of its opposition. The development of online networking alongside the fast development of advanced mobile phone use has likewise had an incredible effect on different features of our lives. This period additionally observed an extraordinary measure of overviews being led on the development of SNS, how individuals and organizations utilize them, and what are the effects caused by this media. In this paper, we introduce and break down the study comes about, and the effect it has caused on the organizations and society on the loose. We likewise concentrate on a portion of the particular sections of the general public while breaking down the effect. Further, we likewise have talked about the eventual fate of long range informal communication, how the advantages can be used for the improvement of the group, including training field, and furthermore the significance of taking essential care in order to keep away from the genuine negative effects of SNS. </p>
Survey of ICT knowledge based Agriculture Development System
Authors: J. Shanthi H 
Published: January 2019

<p>E-agriculture gives to applying new things to use ICTs in the country, with the main heart on agricultural. ICT in Agriculture provides a wide range of solutions to some farming ideas. The rising field focuses on the development of agricultural and rural advance through improved information and communication. This time, ICT is used as around all information and communication developments including Android mobiles, IOT devices, communication networking devices, web services; this variety from original Internet-era technologies and sensors to other pre-accessible aids such as TV, satellites, and radios. This technique continues to evolve in scope as new ICT applications continue to be harnessed in the agriculture industries. It involves the concept, development, design, application, and evaluation of novel ways to use ICTs in the rural domain, with the main focus on cultivation. This includes principles, norms, methods, and apparatus as well as the growth of personality and institutional capacity, and policy hold is all key mechanism of e-agriculture.</p>