bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiple Feature Fuzzy c-means Clustering Algorithm for Segmentation of Microarray Images
Authors: Harikiran J. , Lakshmi P.V. , Kumar R. Kiran
Published: October 2019

Microarray technology allows the simultaneous monitoring of thousands of genes. Based on the gene expression measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, segmentation and intensity extraction are the three important steps in microarray image analysis. Clustering algorithms have been used for microarray image segmentation with an advantage that they are not restricted to a particular shape and size for the spots. Instead of using single feature clustering algorithm, this paper presents multiple feature clustering algorithm with three features for each pixel such as pixel intensity, distance from the center of the spot and median of surrounding pixels. In all the traditional clustering algorithms, number of clusters and initial centroids are randomly selected and often specified by the user.  In this paper, a new algorithm based on empirical mode decomposition algorithm for the histogram of the input image will generate the number of clusters and initial centroids required for clustering.   It overcomes the shortage of random initialization in traditional clustering and achieves high computational speed by reducing the number of iterations. The experimental results show that multiple feature Fuzzy C-means has segmented the microarray image more accurately than other algorithms.
An Empirical Critique of On-Demand Routing Protocols against Rushing Attack in MANET
Authors: Kumar S. Ashok , Babu E. Suresh , Nagaraju C. , Gopi A. Peda
Published: October 2019

Over the last decade, researchers had  proposed numerous  mobile ad hoc routing protocols for which are operate in an on-demand way, as standard on-demand routing protocols such as AODV, DSR and TORA, etc., have been shown to often have faster reaction time and  lower overhead than proactive protocols. However, the openness of the routing environment and the absence of centralized system and infrastructure make them exposed to security attacks in large extent.  In particular, one such kind of attacks is rushing attack, which is mostly hard to detect due to their inherited properties, that alters the network statistics radically. In this paper, we modeled a rushing attack which is a powerful attack that exploits the weaknesses of the secure routing protocols. Moreover, to know the weakness and strength of these protocols, it is necessary to test their performance in hostile environments. Subsequently, the performance is measured with the various metrics, some ot them are average throughput, packet delivery ratio, average end-to-end delay and etc., to compare and evaluate their performance.
Designing an Adversarial Model Against Reactive and Proactive Routing Protocols in MANETS: A Comparative Performance Study
Authors: Peda Gopi A. , Suresh Babu E. , Naga Raju C. , Kumar S. Ashok
Published: October 2019

Mobile ad-hoc networks are self-organized infrastructure less networks that consists of mobile nodes, which are capable of maintaining and forming the network by themselves. Recently, researchers are designed several routing protocols on these networks. However, these routing protocols are more vulnerable to attacks from the intruders, which can easily paralyze the operation of the network due to its inherited characteristics of MANETS. One such type of attack is wormhole attack. Because of its severity, the wormhole attack has attracted a great deal of attention in the research community. This paper compares reactive and proactive routing protocols in adversarial environment. Specifically, wormhole attack is applied to these routing protocols to evaluate its performance through simulation. Comprehensively the results shows the comparative performance of these protocols against wormhole attack is hard to detect and easy to implement.
Investigating Open Issues in Swarm Intelligence for Mitigating Security Threats in MANET
Authors: Krishnappa Pradeep Kumar , Babu B R Prasad
Published: October 2019

The area of Mobile Adhoc Network (MANET) has being a demanded topic of research for more than a decade because of its attractive communication features associated with various issues. This paper primarily discusses on the security issues, which has been still unsolved after abundant research work. The paper basically stresses on the potential features of Swarm Intelligence (SI) and its associated techniques to mitigate the security issues. Majority of the previous researches based on SI has used Ant Colony Optimization (ACO) or Particle Swarm Optimization (PSO) extensively. Elaborated discussion on SI with respect to trust management, authentication, and attack models are made with support of some of the recent studies done in same area. The paper finally concludes by discussing the open issues and problem identification of the review.
Performance Analysis of Doubly Fed Induction Generator Using Vector Control Technique
Authors: Thin Aye Myat , Yuzana Kyaing Nang Saw
Published: October 2019

There are many solar power and wind stations installed in the power system for environmental and economic reasons. In fact, wind energy is inexpensive and the safetest among all sources of renewable energy, it has been recognized that variable speed wind turbine based on the doubly fed induction generator. It is the most effective with less cost and high power yield. This paper has chosen doubly fed induction generator for a comprehensive study of modelling, performance and analysing. DFIG wind turbine has to operate below and above synchronous speed which requires smooth transition mode change for reliable operation to be controlled to provide stability for the power system. Hence its performance depends on the generator itself and the converter operation and control system. This paper presents completed mathematical model of DFIG with its AC/DC/AC converter driven by DC machine. The rotor is considered fed by a voltage source converter whereas the stator is connected to the grid directly. The capacity of the wind power generation is 1.5MW. The voltage rating and frequency for this system are 575V, 50Hz .This paper show detailed model of DFIG.
Test Case Reduction Using Ant Colony Optimization for Object Oriented Program
Authors: Mohapatra Sudhir Kumar , Prasad Srinivas
Published: October 2019

Software testing is one in all the vital stages of system development. In software development, developers continually depend upon testing to reveal bugs. Within the maintenance stage test suite size grow due to integration of new functionalities. Addition of latest technique force to make new test case which increase the cost of test suite. In regression testing new test case could also be added to the test suite throughout the entire testing process. These additions of test cases produce risk of presence of redundant test cases. Because of limitation of time and resource, reduction techniques should be accustomed determine and take away. Analysis shows that a set of the test case in a suit should satisfy all the test objectives that is named as representative set. Redundant test case increase the execution price of the test suite, in spite of NP-completeness of the problem there are few sensible reduction techniques are available. During this paper the previous GA primarily based technique proposed is improved to search out cost optimum representative set using ant colony optimization.
Ontologies and Bigram-based approach for Isolated Non-word Errors Correction in OCR System
Authors: Eutamene Aicha , Kholladi Mohamed Khireddine , Belhadef Hacene
Published: October 2019

In this paper, we describe a new and original approach for post-processing step in an OCR system. This approach is based on new method of spelling correction to correct automatically misspelled words resulting from a character recognition step of scanned documents by combining both ontologies and bigram code in order to create a robust system able to solve automatically the anomalies of classical approaches. The proposed approach is based on a hybrid method which is spread over two stages, first one is character recognition by using the ontological model and the second one is word recognition based on spelling correction approach based on bigram codification for detection and correction of errors. The spelling error is broadly classified in two categories namely non-word error and real-word error. In this paper, we interested only on detection and correction of non-word errors because this is the only type of errors treated by an OCR. In addition, the use of an online external resource such as WordNet proves necessary to improve its performances.
Implementing Syntax Evolution of Embedded Systems
Authors: Jammalamadaka Sasi Bhanu , A Vinaya Babu , P Trimurthy
Published: October 2019

Safety critical systems such as nuclear recator systems cannot be shutdown as restrating is a huge process and incurs heavy cost.  The embedded systems which are used for monitoring and controlling the safety critival systems cannot be shut down as well. ES systems which drives safety critical systems must be communicated from remote locations generally through a HOST connected on to Internet. Communication between the HOST and ES system is done using commnd lanaguage which has to be evolved from time to time.  The chnage to the commnd lanauage must be undertaken while the embedded system is up and running, the evolution thus must be dynamic. Many architetcuers have been propsoed in the lieteratuer for evolving  synatx of command lanaguage.The implemntaion of effcient architetcuer as such has not been found in the literatuer without which existing architetcuer as such has no menaing.

The paper presntes a set of methods using which the syntax evolution of embedded systems as such can be achived. The synatx evolution methods have been applied to a safety critical system that monitors and controls tempartuers within a Nuclear recator system.
Graph-Based Concept Clustering for Web Search Results
Authors: Jinarat Supakpong , Haruechaiyasak Choochart , Rungsawang Arnon
Published: October 2019

A search engine usually returns a long list of web search results corresponding to a query from the user. Users must spend a lot of time for browsing and navigating the search results for the relevant results. Many research works applied the text clustering techniques, called web search results clustering, to handle the problem. Unfortunately, search result document returned from search engine is a very short text. It is difficult to cluster related documents into the same group because a short document has low informative content. In this paper, we proposed a method to cluster the web search results with high clustering quality using graph-based clustering with concept which extract from the external knowledge source. The main idea is to expand the original search results with some related concept terms. We applied the Wikipedia as the external knowledge source for concept extraction. We compared the clustering results of our proposed method with two well-known search results clustering techniques, Suffix Tree Clustering and Lingo. The experimental results showed that our proposed method significantly outperforms over the well-known clustering techniques.
A New Validation Approach of a New Three-Phase High Voltage Power Supply for Microwaves Generators with one Magnetron by Phase
Authors: Bassoui M. , Ferfra M. , Chraygane M.
Published: October 2019

In order to validating the new three-phase High voltage power supply for microwave generators with one magnetron by phase, this paper presents a new validation approach to evaluate the proposed model with several evaluations. This approach is based on the calculation and measurement of the performance and the power factor of this new three-phase power supply, also the study of the operation of this new system in case of failure. The design of this power supply is composed of new three-phase transformer with magnetic shunt, supplying by phase a voltage doubler cell composed of a capacitor and a diode. Each cell in turn, supplies a single magnetron. In this paper we have presented the new three-phase transformer by its equivalent model; it’s a π  quadruple  model composed  of  storable  inductances  able  to translating the nonlinear saturation phenomena for stabilization of  the  magnetron  current. The voltage and current curves obtained by simulation with MATLAB SIMULINK are in good conformity with those obtained by experimental of conventional power supply using a single phase transformer for one magnetron. The same curves will allow us to plot the instantaneous power absorbed by each magnetron. This leads to determine the average power emitted by each magnetron, and establish the balance of the power microwave generator by computing its performance which is compared to that obtained from experimental. After that we will compute the power factor of this power supply and we will study its operation in case of failure of one or two magnetrons.
Electricity Peak Load Demand using De-noising Wavelet Transform integrated with Neural Network Methods
Authors: Bunnoon Pituk
Published: October 2019

One of most important elements in electric power system planning is load forecasts. So, in this paper proposes the load demand forecasts using de-noising wavelet transform (DNWT) integrated with neural network (NN) methods. This research, the case study uses peak load demand of Thailand (Electricity Generating Authority of Thailand: EGAT). The data of demand will be analyzed with many influencing variables for selecting and classifying factors. In the research, the de-noising wavelet transform uses for decomposing the peak load signal into 2 components these are detail and trend components. The forecasting method using the neural network algorithm is used. The work results are shown a good performance of the model proposed. The result may be taken to the one of decision in the power systems operation.
The Noise Reduction over Wireless Channel Using Vector Quantization Compression and Filtering
Authors: Elawady Iman , Moulay Lakhdar Abdelmounaim , Mustapha Khelifi
Published: October 2019

The transmission of compressed data over wireless channel conditions represents a big challenge. The idea of providing robust transmission gets a lot of attention in field of research. In this paper we study the effect of the noise over wireless channel. We use the model of Gilbert-Elliot to represent the channel. The parameters of the model are selected to represent three cases of channel. As data for transmission we use images in gray level size 512x512. To minimize bandwidth usage we compressed the image with vector quantization also in this compression technique we study the effect of the codebook in the robustness of transmission so we use different algorithms to generate the codebook for the vector quantization finally we study the restoration efficiency of received image using filtering and indices recovery technique.
Robust Digital Predistortion in Saturation Region of Power Amplifiers
Authors: Hong Soon-il , Lee Kwang-Pyo , Jeong Eui-Rim
Published: October 2019

This paper proposes a digital predistortion (DPD) technique to improve linearization performance when the power amplifier (PA) is driven near the saturation region. The PA is a non-linear device in general, and the nonlinear distortion becomes severer as the output power increases. However, the PA’s power efficiency increases as the PA output power increases. The nonlinearity results in spectral regrowth, which leads to adjacent channel interference, and degrades the transmit signal quality. According to our simulation, the linearization performance of DPD is degraded abruptly when the PA operates in its saturation region. To relieve this problem, we propose an improved DPD technique. The proposed technique performs on/off control of the adaptive algorithm based on the magnitude of the transmitted signal. Specifically, the adaptation normally works for small and medium signals while it stops for large signals. Therefore, harmful coefficient updates by saturated signals can be avoided. A computer simulation shows that the proposed method can improve the linearization performance compared with the conventional DPD method in highly driven PAs.
Induced Voltages on a Gas Pipeline due to Lightning Strikes on Nearby Overhead Transmission Line
Authors: Elgayar Ali I , Abdul-Malek Zulkurnain
Published: October 2019

The purpose of this paper is to investigate the severity of lightning induced voltages on a gas pipeline installed in parallel with overhead transmission line using two different simulation packages. The results from this study using CDEGS, which solves a given problem based on electromagnetic computations, reveal that the induced voltages on the pipeline are more accurate compared to that obtained by PSCAD simulation, which is based on the circuit approach. Unlike PSCAD, CDEGS considers many salient factors such as soil model, inductive, capacitive and conductive couplings, and multiple soil structures.  Models of a double circuit 132kV transmission line, gas pipelines, soil with different resistivities and variable lightning surges were developed. The effects of pipelines located at various heights above ground and distance of pipeline from the power lines were also studied. Compared to previously published work using PSCAD, it is found that CDEGS has given more accurate results. Several findings which were not possible using PSCAD were observed such as the effect of soil structure on induced voltage and multiple layers soil. This also led to better understanding of the conductive coupling from lightning strikes and fault conditions. The modeling work using CDEGS not only useful for providing more reliable data for further protection and mitigation techniques, but is  also very versatile to study the effects of various other important factors affecting the induced voltage on the pipelines. 
A Simulation-based Approach to Optimize the Execution Time and Minimization of Average Waiting Time Using Queuing Model in Cloud Computing Environment
Authors: Pal Souvik , Pattnaik Prasant Kumar
Published: October 2019

Cloud computing is the emerging domain in academia and IT Industry. It is a business framework for delivering the services and computing power on-demand basis. Cloud users have to pay the service providers based on their usage. For enterprises, cloud computing is the worthy of consideration and they try to build business systems with lower costs, higher profits and quality-of-service. Considering cost optmization, service provider may initially try to use less number of CPU cores and data centers. For that reason, this paper deals with CloudSim simulation tool which has been utilized for evaluating the number of CPU cores and execution time. Minimization of waiting time is also a considerable issue. When a large number of jobs are requested, they have to wait for getting allocated to the servers which in turn may increase the queue length and also waiting time. This paper also deals with queuing model with multi-server and finite capacity to reduce the waiting time and queue length.
HASBE access control model with Secure Key Distribution and Efficient Domain Hierarchy for cloud computing
Authors: Aluvalu RajaniKanth , Kamliya Vanraj , Muddana Lakshmi
Published: October 2019

Cloud computing refers to the application and service that run on a distributed system using virtualized resources and access by common internet protocol and networking standard. Cloud computing virtualizes system by pooling and sharing resources. System and resources can be monitored from central infrastructure as needed. It requires high security because now day’s companies are placing more essential and huge amount of data on cloud. Hence traditional access control models are not sufficient for cloud computing applications. So encryption based on Attribute (“ABE”-“Attribute based encryption”) has been offered for access control of subcontracted data in cloud computing with complex access control policies. Traditional HASBE provides Flexibility, scalability and fine-grained access control but does not support hierarchical domain structure. In this paper, we had enhanced “Hierarchical attribute-set-based encryption” (“HASBE”) access control with a hierarchical assembly of users, with flexible domain Hierarchy structure and Secure key distribution with predefined policy
Human Detection Framework for Automated Surveillance Systems
Authors: A.K. Noaman Redwan , Mohd Ali Mohd Alauddin , Zainal Nasharuddin , Saeed Faisal
Published: October 2019

Vision-based systems for surveillance applications have been used widely and gained more research attention. Detecting people in an image stream is challenging because of their intra-class variability, the diversity of the backgrounds, and the conditions under which the images were acquired. Existing human detection solutions suffer in their effectiveness and efficiency. In particular, the accuracy of the existing detectors is characterized by their high false positive and negative. In addition, existing detectors are slow for online surveillance systems which lead to large delay that is not suitable for surveillance systems for real-time monitoring. In this paper, a holistic framework is proposed for enhancing the performance of human detection in surveillance system. In general, the framework includes the following stages: environment modeling, motion object detection, and human object recognition. In environment modeling, modal algorithm has been suggested for background initialization and extraction. Then for effectively classifying the motion object, edge detecting and B-spline algorithm have been used for shadow detection and removal. Then, enhanced Lucas–Kanade optical flow has been used to get the area of interest for object segmentation. Finally, to enhance the segmentation, some morphological processes were performed. In the motion object recognition stage, segmentation for each blob is performed and processed to the human detector which is a complete learning-based system for detecting and localizing objects/humans in images using mixtures of deformable part models (PFF detector). Results show enhancement in each phase of the proposed framework. These enhancements are shown in the overall performance of human detection in surveillance system.
Influence of Gate Material and Process on Junctionless FET Subthreshold Performance
Authors: A Riyadi Munawar , D Sukawati Irawan , Prakoso Teguh , Darjat Darjat
Published: October 2019

The recent progress of dimension scaling of electronic device into nano scale has motivated the invention of alternative materials and structures. One new device that shows great potential to prolong the scaling is junctionless FET (JLFET). In contrast to conventional MOSFETs, JLFET does not require steep junction for source and drain. The device processing directly influence the performance, therefore it is crucial to understand the role of gate processing in JLFET. This paper investigates the influence of gate material and process on subthreshold performance of junctionless FET, by comparing four sets of gate properties and process techniques. The result shows that in terms of subthreshold slope, JLFET approaches near ideal value of 60 mV/decade, which is superior than the SOI FET for similar doping rate. On the other hand, the threshold value shows different tendencies between those types of device.
Survey: Models and Prototypes of Schema Matching
Authors: Sutanta Edhy , Wardoyo Retantyo , Mustofa Khabib , Winarko Edi
Published: October 2019

Schema matching is critical problem within many applications to integration of data/information, to achieve interoperability, and other cases caused by schematic heterogeneity. Schema matching evolved from manual way on a specific domain, leading to a new models and methods that are semi-automatic and more general, so it is able to effectively direct the user within generate a mapping among elements of two the schema or ontologies better. This paper is a summary of literature review on models and prototypes on schema matching within the last 25 years to describe the progress of and research chalenge and opportunities on a new models, methods, and/or prototypes.
Academic Cloud ERP Quality Assessment Model
Authors: Surendro Kridanto , Olivia Olivia
Published: October 2019

In the past few decades, educational institutions have been using conventional academic ERP system to integrate and optimize their business process. In this delivery model, each educational institutions are responsible of their own data, installation, and also maintenance. For some institutions, it might cause not only waste of resources, but also problems in management and financial aspects. Cloud-based Academic ERP, a SaaS-based ERP system, begin to come as a solution with is virtualization technology. It allows institutions to use only the needed ERP resources, without any specific installation, integration, or maintenance needs. As the implementation of Cloud ERP increases, problems arise on how to evaluate this system. Current evaluation approaches are either only evaluating the cloud computing aspects or only evaluating the software quality aspects. This paper proposes an assessment model for Cloud ERP system, considering both software quality characteristics and cloud computing attributes to help strategic decision makers evaluate academic Cloud ERP system.
Performance Study of Soft Local Binary Pattern over Local Binary Pattern under Noisy Images
Authors: Yasmin Sabina , Masud Rana Md.
Published: October 2019

In this paper, the performance of soft local binary pattern (SLBP) method has been investigated with edge detection techniques for face recognition in case of noisy condition. Various edge detection techniques such as Canny, Robert and Log methods have been used with SLBP for recognizing faces. The results obtained using SLBP with various edge detection for noisy condition based on image quality measurement shows better recognition rate compared to the results obtained using local binary pattern (LBP). Simplified edge detection methods simplify the images as a result SLBP with edge detection requires less computation time compared with edge detection of LBP.
Design Of A Nonvolatile 8T1R SRAM Cell For Instant-On Operation
Authors: Mounica J. , Ganesh G.V.
Published: October 2019

Now-a-days, Energy consumption is the major key factor in Memories. By switching the circuit in off mode and with an lower voltages, leads to decrease in an power dissipation of the circuit. Compared to DRAM SRAM’S are mostly used because of their data retaining capability. The major advantage of using SRAM’s rather than DRAM’S is that, they are providing fast power-on/off speeds. Hence SRAM’s are more preferred over DRAM’s for better instant-on operation. Generally SRAM’s are classified in to two types namely volatile and non-volatile SRAM’s. A non-volatile SRAM enables chip to achieve performance factors and also provides an restore operation which will be enabled by an restore signal to restore the data and also power-up operation is performed. This paper describes about novel NVSRAM circuit which produces better “instant-on operation” compared to previous techniques used in SRAM’s. In addition to normal 6T SRAM core, we are using RRAM circuitry (Resistive RAM) to provide better instant-on operation. By comparing the performance factors with 8T2R and 9T2R, 8T1R design performs the best in the Nano meter scale. Thus this paper provides better performances in power, energy, propagation delay and area factors as compared with other designs.
Automatic Extraction Of Malay Compound Nouns Using A Hybrid Of Statistical And Machine Learning Methods
Authors: A. S. Hazaa Muneer , Omar Nazlia , Ba-Alwi Fadl Mutaher , Albared Mohammed
Published: October 2019

Identifying of compound nouns is important for a wide spectrum of applications in the field of natural language processing such as machine translation and information retrieval. Extraction of compound nouns requires deep or shallow syntactic preprocessing tools and large corpora. This paper investigates several methods for extracting Noun compounds from Malay text corpora. First, we present the empirical results of sixteen statistical association measures of Malay  compound nouns extraction. Second, we introduce the possibility of integrating multiple association measures. Third, this work also provides a standard dataset intended to provide a common platform for evaluating research on the identification compound Nouns in Malay language. The standard data set contains 7,235 unique N-N candidates, 2,970 of them are N-N compound nouns collocations. The extraction algorithms are evaluated against this reference data set. The experimental results  demonstrate that a group of association measures (T-test , Piatersky-Shapiro (PS) , C_value, FGM and  rank combination method) are the best association measure and outperforms the other association measures for  collocations in the Malay  corpus. Finally, we describe several classification methods for combining association measures scores of the basic measures, followed by their evaluation. Evaluation results show that classification algorithms significantly outperform individual association measures. Experimental results obtained are quite satisfactory in terms of the Precision, Recall and F-score.
An Overview on Current Researches on Underwater Sensor Networks: Applications, Challenges and Future Trends
Authors: Amoli Pedram Vahdani
Published: October 2019

Nowadays, Underwater Sensor Networks (UWSN), in which data is collected through underwater sensors, have drawn lots of concern. Generally, wireless sensor network (WSNs) have important applications such as remote environmental monitoring and target tracking. This possibility is enabled by the available smaller and cheaper sensors. These sensors are equipped with wireless interfaces which they form a network. However, there are various problems specified to underwater environments, including the communication medium. Designs of these types of networks significantly depend on their application, and factors such as environment, design objectives of the application, cost, hardware and system constraints. The goal of this work is to review the literature on various aspects of UWSNs, and present an overview of several new applications and their challenges on UWSN. Publications are reviewed to show the statistics of published works in several aspects.
A Thorough Insight to Techniques for Performance Evaluation in Biological Sensors
Authors: Meti Subhas , Sangam V G
Published: October 2019

The biological sensor has played a significant and contributory role in the area of medical science and healthcare industry. Owing to critical healthcare usage, it is essential that such type of sensors should be highly robust, sustainable under the adverse condition and highly fault tolerant against any forms of possible system failure in future. A massive amount of research work has been done in the area of the sensor network. However, works done in biological sensors are quite less in number. Hence, this manuscript highlights all the significant research work towards the line of discussion for evaluating the effective in the techniques for performance evaluation of biological sensor. The study finally explores the problems and discusses it under research gap. Finally, the manuscript gives highlights of the future direction of the work to solve the research gap explored from the proposed review of the existing system.
A Modular Approach and Simulation of an Asynchronous Machine
Authors: Mekrini Zineb , Bri Seddik
Published: October 2019

This article presents the modeling and simulation of the asynchronous machine. The aim of this research is the mastery of the electrical, mechanical and magnetic behaviors of this type of machine. The Matlab/Simulink is used for simulation two types of no-load and additional load services in transitional and permanent operation. The Analytical equations describing the two operating systems are evaluated and developed by a generalized model of a three-phase induction motor. The simulation results presented in this article confirms that the proposed model gave a satisfactory response in terms of torque characteristics and speed.
Evaluation of Power Quality Issues in grid Connected PV Systems
Authors: Varshney Gunjan , Chauhan D S , Dave M P
Published: October 2019

This paper deals with the evaluation of power quality issues in grid connected PV systems. This paper also presents  complete simulation, modeling and control of three phase grid connected solar PV module with Maximum Power Point Tracking. Perturb and Observe (P&O) method has been used for Maximum Power Point Tracking. In the proposed model DC bus voltage control , harmonic mitigation and power factor control are discussed as power quality issues. The simulation results are shown in the graphical waveforms and simulation is performed in MATLAB using SIMULINK environment and PSB toolboxes.  
Two-way Mechanism to Enhance Confidentiality and Accuracy of Shared Information
Authors: Dutta Manash Pratim , Banerjee Subhasish , Chakraborty Swarnendu Kumar , Bhunia Chandan Tilak
Published: October 2019

As such internet and information technology have influenced the human life significantly thus the current technology cannot solely assure the security of shared information. Hence, to fulfil such requirements mass amount of research have been undertaken by various researchers among which one of the mechanisms is the use of dynamic key rather than static one. In this regard, we have proposed a method of key generation to provide the dynamic keys. The scheme not only can change the key but also provide the error control mechanism. At the end of this paper, a comparison with the existing techniques has also been made to prove the efficiency of the proposed scheme.
Secure Multicast Routing Protocol in Manets Using Efficient ECGDH Algorithm
Authors: Arepalli Gopi , Babu Erukula Suresh
Published: October 2019

An Ad-hoc Network covers a set of autonomous mobile nodes that communicates through wireless communication in an infrastructure-less environment. Mostly MANETs are used in group communication mechanisms like military applications, emergency search, rescue operations, vehicular ad-hoc communications and mining operations etc. In such type of networks, group communication is takes place by multicasting technique. Communication and collaboration is necessary among the nodes in the groups in multicast protocols. PUMA has the best multicast routing protocol compared to tree and mesh based multicast protocols although it suffers from security issues. PUMA mainly suffers from Man In The middle attack. MITM attack generates traffic flow, drop the packets and miscommunicate the neighbor nodes with false hop count. So defending from MITM attack we designed a new mechanism called Elliptic Curve Group Diffie-Hellman (ECGDH). This paper compares results of PUMA [1] routing protocol with legitimate, under attack and after providing security against attack. Finally we observed ECGDH [2] gives efficient results even attack has happened.
AnswerRank: Identifying Right Answers in QA system
Authors: S Geerthik , S Venkatraman , K Rajiv Gandhi
Published: October 2019

Ranking of answers in Community CQA (CQA) is most important task in finding best answer, which depends on type of question and relevance of answer to the question. If a question is posted in a CQA site it will get multiple answers in different views. It is the responsibility of a CQA system to identify best answers and make them display as top answers. For identifying the best answers different ranking techniques for finding the top answers are used. The main two problems we identify in the CQA sites are most of the best answers identified by CQA sites are from the users who had many followers. Also if a question is posted and if the best answer is written by a user late after many answers, the probability of the answer to be get ranked as top answer with highest upvotes is very less. This paper describes AnswerRank a method to rank the answers provided by the users in CQA sites. The AnswerRank method of ranking treats users with more followers and less followers equally. Also the answer written at various time intervals by different users are also treated equally. Only ranking is based on quality of answers. We compare AnswerRank method with existing ranking methods .The experimental results shows that our approach is best method in ranking Community CQA sites.
Improved Performance of DPFC Using Sliding Mode Controller Method
Authors: Rao D Narasimha , Surnedra T , Kalyani S Tara
Published: October 2019

Modern power systems demand the need of active power flow with the help of Power Electronics control devices is needed. In the family of Flexible AC Transmission devices (FACTS), Dynamic PFC (DPFC) offers the same controlling function as Unified PFC (UPFC), comprising the control of transmission angle, bus voltage and line impedance. A technical modification of UPFC is DPFC in which fluctuations of voltage at DC link is eliminated that enables the individual operation as series and parallel controllers. The concept of DFACTS is used in design of the series converter. The replacement of  the  high  rating  three  phase  series  converter with  the multiple low rating single phase converters results in cost reduction and increases reliability greatly. This DC Link is used to transfer the real power between two converters in UPFC such as in DPFC which eliminates the 3rd harmonic frequencies at transmission lines. D-FACTS converters are acting as insulation between high voltage phases acts as 1-ᴓ floating with respect to ground. These results in lower cost for the DPFC system compared to the UPFC. This paper describes the comparison of PI and Sliding Mode Controllers which conclude that SMC is a better control strategy compared to PI.
Monitoring of Landslides in Mountainous Regions based on FEM Modelling and Rain Gauge Measurements
Authors: Gian Quoc-Anh , Nguyen Dinh-Chinh , Tran Duc-Nghia , Tran Duc-Tan
Published: October 2019

Vietnam is a country heavily inﬂuenced by climate change. The effect of climate change leads to a series of dangerous phenomena, such as landslides. Landslides occur not only in the mountainous province, but also in Delta provinces, where hundreds of landslides are reported annually in the North-Western provinces of Vietnam. These events have catastrophic impact to the community as well as the economy. In mountainous areas, the conditions for landslides to occur are met frequently, especially after heavy rains or geological activity, causing harm to the community as well as damaging or destroying much needed infrastructure and key transport routes. However, in Vietnam, investment in mountainous regions has been often lower than in urban areas. The meteorology monitoring and forecasting systems are ill equipped and overloaded, so they cannot deliver earlier and more accurate forecasts for complex weather events, unable to provide timely warnings. It can be seen that in countries that landslide often occur, researchers have been trying to develop low cost and efficient landslide detection system. This paper precisely addressed the problems mentioned, by designing and implementing an efficient and reliable Landslide Monitoring and Early Warning (LMnE) system based on the 3G/2G mobile communication system, and a rain gauge at the field site along with a carefully FEM (finite element method) simulation using the rain density information on the server. The system uses advanced processing algorithms combining obtained data at the central station.
Salt and Pepper Noise Removal Using Resizable Window and Gaussian Estimation Function
Authors: Ali Suhad A. , A. Abbood C. Elaf , LKadhm Shaymaa Abdu
Published: October 2019

Most types of the images are corrupted in many ways that because exposed to different types of noises. The corruptions happen during transmission from space to another, during storing or capturing. Image processing has various techniques to process the image. Before process the image, there is need to remove noise that corrupt the image and enhance it to be as near as to the original image. This paper proposed a new method to process a particular common type of noise. This method removes salt and pepper noise by using many techniques. First, detect the noisy pixel, then increasing the size of the pixel window depending on some criteria to be enough to estimate the results. To estimates the pixels of image, the Gaussian estimation function is used. The resulted image quality is measured by the statistical quantity measures that's Peak Signal-to-Noise Ratio (PSNR) and The Structural Similarity (SSIM) metrics. The results illustrate the quality of the enhanced image compared with the other traditional techniques. The slight gradual of SSIM metric described the performance of the proposed method with high increasing of noise levels.
Emotional Facial Expression Based On Action Units and Facial Muscle
Authors: Basori Ahmad Hoirul , AlJahdali Hani Moaiteq Abdullah
Published: October 2019

The virtual human play vital roles in virtual reality and game. The process of Enriching the virtual human through their expression is one of the aspect that most researcher studied and improved. This study aims to demonstrate the combination of facial action units (FACS) and facial muscle to produce a realistic facial expression. The result of experiment succeed on producing particular expression such as anger, happy, sad which are able to convey the emotional state of the virtual human. This achievement is believed to bring full mental immersion towards virtual human and audience. The future works will able to generate a complex virtual human expression that combine physical factos such as wrinkle, fluid dynamics for tears or sweating.
The Analysis of Student Colla borative Work Inside Social Learning Network Analysis Based on Degree and Eigenvector Centrality
Authors: Mansur Andi Besse Firdausiah , Yusof Norazah , Basori Ahmad Hoirul
Published: October 2019

Social learning network analysis is a potential approach to analyze the behaviour of students in collaborative work. However, most of the previous works focus on asynchronous discussion forum as the learning activity.  Very few of them are trying to analyze the students' collaborative work while using wiki e-learning. This paper proposes the degree centrality and eigenvector method for identifying the collaborative work of students while in wiki e-learning. The log data of the Moodle e-learning system is observed that records the students' activities and actions while using wiki.  The result shows that there is a close similarity between the degree centrality and the eigenvector. The result also reveals the students who obtain high outdegree values.  Furthermore, Agent_1 and Agent_12 represent the students who obtained high outdegree values, which mean these two nodes are acting as source providers that able to supply information and knowledge through the network. This result also strengthened by value of closeness and betweenness where Agent_1 and Agent_12 leading on this measurement. The high closeness value of Agent_1 and Agent_12 will lead into fast spreading information since they have fastest route and has the most direct route to the other node inside the network, thus collaborative work is easy to be initialized by these Agents. This work has successfully identified collaborative work of student. This finding is believed to bring enormous benefit on the e-learning system improvement in the future.
Transient Phenomena during the Three-Phase 300MVA Transformer Energization on the Transmission Network
Authors: Alibašić Emir , Marić Predrag , Nikolovski Srete N
Published: October 2019

Connecting the transformer to the network may incur inrush current, which is significantly higher than the rated current of the transformer. The main cause of this phenomenon lies in the nonlinearity of the magnetic circuit. The value of the inrush current depends of the time moment of the energization and the residual magnetism in the transformer core. While connecting, the operating point of the magnetization characteristic can be found deep in the saturation region resulting in occurrence of large transformer currents that can trigger the transformer protection. Tripping of protection immediately after the transformer energization raises doubts about the transformer health. Inrush current can cause a number of other disadvantages such as the negative impact on other transformers connected on the same busbar; the increase of the transformer noise due to the large current value, the increase of the voltage drops in the network. The paper presents a simulation of the 300 MVA transformer energization using the MATLAB/Simulink software.

 

 
Three Patterns Programmable Russian Form Functional Electrical Stimulator
Authors: Orand Abbas , Tanino Genichi , Miyasaka Hiroyuki , Takeda Kotaro , Sonoda Shigeru
Published: October 2019

In this paper, a programmable, multi-pattern, wide frequency and duty cycle range electrical stimulator is presented. Using a programmable micro-controller, two waves of carrier and modulating sources are produced. By modulating the two sources, 3 bi-phasic charge-balanced rectangular, triangular and sinusoidal stimulating patterns are produced. The frequency range of the carrier is fixed at 2.5 kHz and the carrier source frequency can be adjusted between 1 and 500 Hz. The duty cycle of both sources can be adjusted between 10% and 90%.
Robust Controller for a Vision Feedback Based Telepointer
Authors: Abdul Kader Shah Newaz Mohammad , Mustafa Mohd. Marzuki , Hussain Aini
Published: October 2019

Telepointer is a very useful tool for teleconsultation and teleproctoring, whereby a telepointer via teleconferencing is a perfect example of computer-supported cooperative work (CSCW) and digital telepresence. To this end, many telepointers are introduced for digital telepresence. However, there are still concerns regarding the speed of response and robustness of the system. It is rather difficult to model the actual system in order to design the controller. This paper described the development of a telepointer and its controller for a real time communication using vision feedback. The main focus of this study was to control the Laser Pointer (LP) with a discrete time PID (proportional–integral–derivative) controller which was tuned using Ziegler-Nichols (ZN) method. The results indicated that the tuned controller bring about fast response with no overshoot and steady state errors at the output response. The controller was shown to be robust against changes in sampling time and external disturbance.
Trends In Task Allocation For Multicore System
Authors: Sundar Rajan Arun Kumar , Vasudevan Shriram K , M Nirmala Devi
Published: October 2019

As the functionality in real-time embedded systems becoming complex, there has been a demand for higher computation capability, exploitation of parallelism and effective usage of the resources. Further, technological limitations in uniprocessor in terms of power consumption, instruction level parallelism reaching saturation, delay in access of memory blocks; directed towards emergence of multicore. Multicore design has its challenges as well. Increase in number cores has raised the demand for proper load distribution, parallelizing existing sequential codes, enabling effective communication and synchronization between cores, memory and I/O devices. This paper brings out the demand for effective load distribution with analyzes and discussion about the various task allocation techniques and algorithms associated with decentralized task scheduling technique for multicore systems. This paper also addresses on the multithreaded architecture, where parallel tasks are formulated from sequential code blocks and finally on the techniques to parallelize the sequential code block.