bluuebunny/crossref_metadata_2025 huggingface dataset:
A Novel M-SEPIC DC-DC Converter for BLDC Pumping System with Active PFC using ANFIS Controller
Authors: Kshatriya Vamshi Krishna Varma , A Ram Kumar
Published: January 2019

An exigent consumer related concerns confronted due to utilization of massive front-end AC-DC rectifier in a grid-tied BLDC pumping system. Harmonic distortions are acquired, which prompts the disruption of power quality at utility grid system due to AC-DC conversion. Several factors for enhancing power-quality concerns are ameliorate the grid power-factor along with reduction of harmonic distortions, tightened regulation of DC output voltage. In this way, the DC-DC boost converter plays a unique role; operated in Continuous Conduction Mode. Based on summarizing advantages & disadvantages of classical DC-DC converters, a single switch high voltage gain M-SEPIC DC-DC converter is more suggestive for water pumping system due to non-existence of coupled inductors, low switching loss, low di/dt stress, high efficiency, compact structure, low cost, etc. This work proposes the novel M-SEPIC DC-DC converter fed brushless-DC motor drive is controlled by voltage source inverter and powered by single-phase grid system with improved power-quality features. Moreover, Adaptive Neuro-Fuzzy Inference System is recommended for prediction of optimal switching states to amplify the BLDC motor speed and torque-ripple depreciation. The effectiveness of the proposed scheme is validated under constant speed situations by real-time operating conditions which are evaluated by Matlab /Simulink tool; and simulation results are conferred with attractive comparisons.
Factors of Adoption Intention for Near Field Communication Mobile Payment
Authors: Busu Sharidzaly , Karim Norisan Abd , Haron Haryani
Published: January 2019

Near field communication mobile payment (NMP) is simple to use and beneficial to consumers, yet its adoption among consumers in Malaysia is still at the beginning stage and the adoption rate is relatively lower compared to other countries in the world. The aim of this study is to identify factors that affect the adoption intention of NMP among consumers in Malaysia, by using Faculty of Computer and Mathematical Sciences (FSKM), UiTM Shah Alam as the case study for this research. The quantitative data analysis approach is used in this study. There were 150 questionnaires analyzed using the SPSS. This research identified three factors that affect the adoption intention of NMP which are perceived usefulness, perceived cost and compatibility. By understanding the factors affecting the intention to adopt NMP, financial technology companies can focus to provide the solutions according to market interest, needs and readiness.
Performance Investigation of Channel Noise Effect in Data Transmission Medium Using Signal to Noise Ratio (SNR)
Authors: Wagaye Gebremedhn Wubet
Published: January 2019

The noise introduced in the channel obviously affects the bit error rate of the communication system and this has direct impact in the security. Here the main problem is that the receiver terminal decoding techniques can lead to wrong interpretation even if the Bit Error Rate (BER) is acceptable. So the main idea here is to introduce high values of Signal to Noise Ratio (SNR) that can improve the bit error rate which exists due to the noise introduced in the wireless channel.
Novel UWB Microstrip Antenna Structures with Defected Ground Structure
Authors: Elajoumi Saida , Tajmouati A. , Zbitou J. , Errkik A. , Abdellaoui L. El , Sanchez A.M.
Published: January 2019

This paper presents the design of new compact printed antennas for Ultra Wide Band applications, fed with a microstrip-line. The proposed designs consist of a patch antenna with defected ground, which are fed by 50Ω microstrip transmission line. The frequency range is 3.1-10.6 GHz which is the Federal Communication Commission (FCC) band of UWB. The proposed antennas are easy for integration with microwave circuits. They are validated into simulation by using two electromagnetic solvers CST-MW and Ansoft HFSS. The simulated input impedance bandwidth ranging 3GHz to more than 14 GHz is obtained with return loss less -10dB, and exhibits good UWB characteristics. The measured parameters are good agreement with the simulation. Therefore these antennas offer excellent performance for UWB system.
E-Referral System Modeling Using Fuzzy Multiple-Criteria Decision Making
Authors: Triyono Gandung , Hartati Sri , Pulungan Reza , Lazuardi Lutfan
Published: January 2019

Currently, the quality of health services in Indonesia is getting better. However, the referral system still has some problems. The first is the difficulty in determining the referral hospital by the condition of the patient. The second is the different parameters used to determine the referral hospitals between countries. Based on those problems, it is necessary to improve the ability of the current referral system. This study developed a reference system model for assessing the suitability of the patient's background with the referral hospital. Some of the methods used are restful on web service technologies for information exchange between primary health care doctors and referral hospitals, Fuzzy Multiple-Criteria Decision Making (FMCDM) to determine the ranking of referral hospitals that fit the patient's background. The result of this study is an intelligent system model to get the referral hospital that fit the patient's background.
Resonant Configuration Topology Exploration for Inductive Link Power Transfer
Authors: Hafiz S. , Zaharudin Zarimin , Khan Sheroz , Midi Nur Shahida Binti , Hwang John Tan Teng , Kadir Kushsairy Abdul , Shah Jawad Ali
Published: January 2019

This paper investigates the performance of circuit topology used in wireless power applications to optimize the level of maximum efficiency. We analyse the series and the parallel resonant topologies for use in an inductive coupling link to derive power transfer efficiency expressions verified using MATLAB. We look into the two topologies into the link under resonant conditions for selectively supplying the device with power. The results are obtained analytically which are verified subsequently by MATLAB simulation. We then analyse the links to see how maximum power transfer efficiency for a given pair of coils can be achieved. The topology at a given tuning frequency is used for powering a selected resistive load. The method is presented using a given pair of coils simulated and the results agree well with the theoretical explanation and derivations.
Can Convolution Neural Network (CNN) Triumph in Ear Recognition of Uniform Illumination Invariant?
Authors: Jamil Nursuriati , Almisreb Ali Abd , Zainal Ariffin Syed Mohd Zahid Syed , Din N. Md , Hamzah Raseeda
Published: January 2019

Current deep convolution neural network (CNN) has shown to achieve superior performance on a number of computer vision tasks such as image recognition, classification and object detection. The deep network was also tested for view-invariance, robustness and illumination invariance. However, the CNN architecture has thus far only been tested on non-uniform illumination invariant. Can CNN perform equally well for very underexposed or overexposed images or known as uniform illumination invariant? This is the gap that we are addressing in this paper. In our work, we collected ear images under different uniform illumination conditions with lumens or lux values ranging from 2 lux to 10,700 lux. A total of 1,100 left and right ear images from 55 subjects are captured under natural illumination conditions. As CNN requires considerably large amount of data, the ear images are further rotated at every 5o angles to generate 25,300 images. For each subject, 50 images are used as validation/testing dataset, while the remaining images are used as training datasets. Our proposed CNN model is then trained from scratch and validation and testing results showed recognition accuracy of 97%. The results showed that 100% accuracy is achieved for images with lumens ranging above 30 but having problem with lumens less than 10 lux
Intelligent Agent Simulator in Massive Crowd
Authors: S Mohamad, , F.M Nasir, , M.S. Sunar, , K. Isa, , R.M. Hanifa, , S.M. Shah, , M.N. Ribuan, , A. Ahmad,
Published: January 2019

Crowd simulations have many benefits over real-life research such as in computer games, architecture and entertainment. One of the key elements in this study is to include elements of decision-making into the crowd. The aim of this simulator is to simulate the features of an intelligent agent to escape from crowded environments especially in one-way corridor, two-way corridor and four-way intersection. The addition of the graphical user interface enables intuitive and fast handling in all settings and features of the Intelligent Agent Simulator and allows convenient research in the field of intelligent behaviour in massive crowd. This paper describes the development of a simulator by using the Open Graphics Library (OpenGL), starting from the production of training data, the simulation process, until the simulation results. The Social Force Model (SFM) is used to generate the motion of agents and the Support Vector Machine (SVM) is used to predict the next step for intelligent agent.
Technical and Economic Analysis of Net Energy Metering for Residential House
Authors: Mansur T. M. N. T. , Baharudin N. H. , Ali R.
Published: January 2019

Renewable Energy Act (RE Act) has been gazetted by the Malaysian Government in 2011 to encourage energy generation from renewable resources. Under Feed-in Tariff (FiT) scheme, solar PV has gained popularity due to its high FiT rates. However, the FiT scheme for solar PV has expired in 2016 and been replaced by the Net Energy Metering (NEM) scheme. The objective of this research work is to technically and economically analyze the solar PV system for a residential house under NEM scheme. The methodology involves gathering solar energy resource information and daily residential load profile, sizing PV array together with grid-connected inverter and then lastly simulation of the design system by using PVsyst software. Based on the results obtained, the amount of energy generated is higher when the capacity of solar PV system is increased. While most of the energy generated is exported to the grid, only up to 25% of load demand is supplied by the solar PV system. From economic aspect, the residential house does not need to pay the electricity bill due to the self-consumed of energy generated and profit gained from excess energy exported to the grid. From the environmental aspect, 2,434 kWh energy generated from renewable resource annually and consumed by the residential load has replaced the fossil fuel based power from grid. This value is equivalent to almost 1.7 tons of CO2 avoidance to the environment.
Verification of MATLAB/Simulink Power Cable Modelling with Experimental Analysis
Authors: Kuan Tze Mei , Sulaiman Suhaila , Ariffin Azrul Mohd. , Shamsuddin Wan Mohamad Shakir Wan
Published: January 2019

Cross-linked polyethylene (XLPE) power cable is commonly used as the medium for transmitting power supply in the power system network. However, frequent exposure of XLPE cable to the high voltage causes its insulation to degrade over time leading to electricity outages. Degradation of cable can be prevented if regular maintenance is performed using the accurate assessment method. This study models and simulates a cable system comprising of three cable sections connected by two un-degraded cable joints. This model aims to assess defect along the tested cable with the application of time domain reflectometry (TDR) technique. A series of simulations are conducted by varying the cable insulation condition to study its influence on the cable joint reflection. These simulation results from MATLAB/Simulink are validated against the actual TDR experimental results. The identical results shown between the simulation and experimental results indicate that the cable model is valid and can be used to assess the condition of a cable.
IMLANNs for Congestion Management in Power System
Authors: Ali Nur Zahirah Mohd , Musirin Ismail , Mohamad Hasmaini , Suliman Saiful Izwan , Suyono Hadi
Published: January 2019

In this paper, Integrated Multi-Layer Artificial Neural Networks (IMLANNs) model has been developed for congested line prediction in a power system. The master characteristic of an ANN is the superiority to achieve complicated input-output mappings through a learning procedure, without exhaustive programming efforts. The IMLANNs model was developed to predict the congested lines in a power system. Before the IMLANNs model is developed, a case study was selected to receive an early result in power system load current during normal condition and contingency based on heavily loaded term. In order to optimize the architecture of the neural network and minimize the computational effort, but those state variables with major impact on the power system are selected as inputs. A pre-developed index, namely Fast Voltage Stability Index (FVSI) is employed as a benchmark to identify the locations declared as congested lines. This indicator was produced which aims for an analytic thinking, sustainable power system when an excessive load was imposed on the power system network. In addition, voltage collapse can be identified when the index is approaching 1.000 or unity. The value of FVSI is chosen as the targeted output in the IMLANNs model. The strength of the proposed IMLANNs model has been validated on the IEEE 30- Bus RTS. Results obtained from the study demonstrated that the proposed IMLANNs is feasible for congested line prediction, which in turns beneficial to power system operators in the planning unit of a utility.
Pole tilt monitoring system using MEMs accelerometer and BeagleBone Black
Authors: Yong Lok De , Radzi Nurul Asyikin Mohamed , Jalil Yanti Erana
Published: January 2019

Electric pole could tilt in the event of heavy storms, soil erosion and object crashing onto poles, causing serious damages if they are not fixed before condition worsen. Therefore, to monitor the health of the electric pole, a system to monitor its tilting angle is needed. In this paper, for the first time, to the best of our knowledge, an integration of Micro Electro-Mechanical Systems (MEMs) accelerometer with BeagleBone Black microcomputer will be used to develop an electric pole tile angle monitoring system. The accuracy of measuring tilt angle using single axis accelerometer versus triple axis accelerometer and the effect of rolling on tilt angle reading using single axis accelerometer versus triple axis accelerometer will be presented. Three-axis accelerometer achieves greater accuracy as the percentage error of tilting and rolling for the three-axis accelerometer are better than the single-axis accelerometer.
Side-Channel Security on Key Exchange Protocol: Timing and Relay Attacks
Authors: Isa Mohd Anuar Mat , Hashim Habibah , Adnan Syed Farid Syed , Mohamed Nur Nabila , Alias Yasin Fitri
Published: January 2019

The advancing of Key Exchange Protocol (KEP) is compulsory to secure the connected world via Internet of Thing (IoT), cryptocurrency and blockchain, virtual intelligent, smart computing etc. To address the security issues in the Internet based computing systems, this paper explores the side-channel security for KEP, namely timing and relay attacks. Nowadays, various KEP variances are used by internet protocol such as IKEv2/3. The purpose of KEP is to enable a secret key(s) sharing between two or more computing systems on unsecure network. Later, the secret key(s) is used to encrypt all data transmitted for online systems such as internet banking, cryptocurrency transaction, IoT services etc. The timing attack was addressed by an adversary model and security assumptions. The relay attack on KEP was tested by an experiment testbed between a key fob and car using Raspberry Pi and RF module. The experiment result has shown that the propagation delay of KEP on RF communication is increased by 100% for each relay node. If the KEP runtime is increased greater than 50%, the KEP authentication key should be discarded to prevent the attacker from gaining access to the car.
Pattern Analysis of Goals Scored in Malaysia Super League 2015
Authors: Razali Nazim , Mustapha Aida , Clemente Filipe Manuel , Ahmad Md Fauzi , Salamat Mohamad Aizi
Published: January 2019

This paper is set to study the pattern of goals scored across 132 matches in 2015 Malaysian Super League (MSL). Despite of well-known researches in European football, no information in Malaysian football teams has been done consistently. To identify the patterns, this research focuses on goals scored based on timing that includes scoring frequency, the impact of first goal achieved by team towards the final match outcome, as well as the impact of having home advantage for matches during MSL 2015.  The findings of this paper will provide useful information on MSL besides helping coaches with fresh insight for creating effective training and tactical plan as the time progressed during match. At the same time, players will also be more prepared for a consistent performance especially when training for matches as the visiting teams.
Evolution of Precision Agriculture Computing towards Sustainable Oil Palm Industry
Authors: Goh K.C. , Sim S.Y. , Goh H.H. , Bilal K. , Sam T.H. , Teoh T.Y. , Tey J. S.
Published: January 2019

Precision technology elements have not been implemented yet into the sustainable oil palm industry because the knowledge and technology gap. To resolve the gaps, promote sustainability and integrate the technologies, Oil Palm Management System (OPAMS) was introduced. The precision technologies in OPAMS comprises of Geographical Information System (GIS), Global Positioning System (GPS), remote sensing and yield monitoring. A phase by phase System Development Life Cycle (SDLC) methodology was used to generate the said system with feedbacks from oil palm planters as the inputs for OPAMS’s key features. OPAMS ultimately aims to increase the awareness of the industry on the benefits of utilizing technology to improve plantation performances, increase business and environmental sustainability.
A Review on Structured Scheme Representation on Data Security Application
Authors: Salleh Siti Norussaadah Mohd , Din Roshidi , Zakaria Nur Haryani , Mustapha Aida
Published: January 2019

With the rapid development in the era of Internet and networking technology, there is always a requirement to improve the security systems, which secure the transmitted data over an unsecured channel. The needs to increase the level of security in transferring the data always become the critical issue. Therefore, data security is a significant area in covering the issue of security, which refers to protect the data from unwanted forces and prevent unauthorized access to a communication. This paper presents a review of structured-scheme representation for data security application. There are five structured-scheme types, which can be represented as dual-scheme, triple-scheme, quad-scheme, octal-scheme and hexa-scheme. These structured-scheme types are designed to improve and strengthen the security of data on the application.
The Study of Stresses on Soil From Roadways Using Plaxis To Generate Potential Energy With Piezoelectric
Authors: Lim A.J.M.S. , Sim S.Y. , N. Anting, , Prasetijo J. , Hasanah T. I. T Noor , Goh H.H. , Buswig Y.M.Y. , Kang C.C.
Published: January 2019

Environmental resources exploitation is one of the critical problems in environmental engineering. The overuse of environmental resources can lead to a huge impact for the environment and human itself. The problems of extracting and processing of raw materials from earth such as mining, steam power and machinery has increased year by year and this is the main reason that the resources has become very limited for the future generations to use them. This study is focused in designing a roadway through software analysis which will use the concept of piezoelectricity that will convert the stress energy from the roadways into electrical energy. A software which is called PLAXIS 2D will be used to simulate the stresses from the roadway which are caused by moving vehicle loading. The parameters of laterite and clay soil such as Specific Gravity, Liquid Limit, Friction Angle and Cohesion are obtained from the past research is needed for the input of the software. The loading application in the PLAXIS 2D uses the Mohr-Coulomb failure criterion in which fully drained and axisymmetric conditions were assumed. A non-uniform grid with 1726 elements was performed for the calculations on a 2-dimensional cross-sections of 11m x 3m roadway. The stresses resulted from the software are used to determine the value of stresses required for the piezoelectric to convert the stress energy into electrical energy.
Analysis Review on Performance Metrics for Extraction Schemes in Text Steganography
Authors: Sabri Raihan Sabirah , Din Roshidi , Mustapha Aida
Published: January 2019

In today's era of big data computer networks, protection of secret messages when transmitting information is a major concern. The openness and publicity of the communication channel are the main attraction for malicious people to steal personal data even though privacy protection in operational. Data extraction is process that reverses the data embedding process in information hiding. However, the performance of an information hiding framework highly depends on the evaluation metrics used. The effectiveness of evaluation itself is mainly determined by the performance aspect or critera such as capacity, imperceptibility or security. The aim of this paper is to present a review on trends for existing performance metrics used in extraction schemes from a data hiding framework. This review is hoped to help future research in evaluating the performance of data hiding framework in general and the proposed extraction schemes in specific.
A Comparative Review on Data Hiding Schemes
Authors: Din Roshidi , Sabri Raihan Sabirah , Mustapha Aida , Utama Sunariya
Published: January 2019

Data hiding is a technique used to protect confidential information. The aim of a particular data hiding scheme is to make a more secure and robust method of information exchange so that confidential and private data can be protected against attacks and illegal access. The aim of this paper is to review on different data hiding schemes, covering the decoding, decrypting and extracting schemes. This paper also highlighted three major schemes that are widely used in research and real practice. The discussion include findings on the most recent work on decryption schemes.
Microwave Bandpass Filter Integrated with Notch Response for Wide-band Applications
Authors: Mabrok Mussa , Zakaria Zahriladha , Abu Hussin Nurhana , Mutalib Mohamad Ariffin
Published: January 2019

This paper presents the design of wide-band bandpass filter using microstrip structure at 3-6GHz with fractional bandwidth of 66.67% based upon short-circuited stubs structure of 5th degree. In order to avoid the interference from existing system that operates in the frequency band, the folded stepped impedance resonator (SIR) was introduced to generate a narrow notch band at 5.2GHz. Pin diode is employ as switching mechanism for the notch response. This design is simulated by Advance Design System (ADS) software and using Roger Duroid 4350B with a dielectric constant of 3.48, substrate thickness 0.508mm and loss tangent 0.0019.The achieved return loss is better than 15dB and insertion loss is less than 1dB.The designed filter can be used in microwave communication systems such as wireless communication devices and military applications (radar system).
Quadratic Support Vector Machine For The Bomba Traditional Textile Motif Classification
Authors: Nuraedah Nuraedah , Bakri Muhammad , Kasim Anita Ahmad
Published: January 2019

The Bomba textile is one of the textile fabrics in Indonesia used in a province called Sulawesi Tengah. Bomba Textile has a unique pattern and has a philosophical meaning in human life in Sulawesi Tengah. Bomba Textile has many motif patterns and varied colors. The problem in this research is the difficulty in classifying every The Bomba textile motif in each class. Data classification is needed to recognize the motif of each Bomba textile pattern and to cluster it into the appropriate class. The features used to classify the Bomba textile motif is the textural feature. Texture features obtained from Gray-Level Co-occurrence matrices (GLCM) method consisting of energy, contrast, homogeneity and correlation with four angles 0°, 45°, 90°, and 135°. This research will implement Quadratic Vector Machine (QSVM) method with texture feature on Bomba textile pattern. The use of a single texture feature with angles 90° has an accuracy of 90.3%. The incorporation of texture features by involving all features at all angles can improve the accuracy of the classification model. This research produces a model of motif classification on the Bomba textile which has the classification accuracy of 94.6% and error rate of 5.4%.
Modified SHA-1 Algorithm
Authors: Quilala Rogel Ladia , Sison Ariel M , Medina Ruji P
Published: January 2019

Hashes are used to check the integrity of data. This paper modified SHA-1 by incorporating mixing method in every round for better diffusion. The modification increased the hash output to 192-bits. Increasing the output increases the strength because breaking the hash takes longer. Based on the different message types, avalanche percentage of modified SHA-1 showed better diffusion at 51.64%, higher than the target 50%, while SHA-1 achieved 46.61%. The average execution time noted for modified SHA-1 is 0.33 seconds while SHA-1 is 0.08 seconds. Time increases as the number of messages hashed increases; the difference is negligible in fewer messages. On character hits, that is - no same character in the same position, modified SHA-1 achieved lower hit rate because of the mixing method added. The modifications’ effectiveness was also evaluated using a hash test program. After inputting 1000 hashes from random strings, the result shows no duplicate hash.
FPGA Implementation of a Novel Gaussian Filter Using Power Optimized Approximate Adders
Authors: Basheer Jamshid M , V Murugesh
Published: January 2019

Smoothing filters are essential for noise removal and image restoration. Gaussian filters are used in many digital image and video processing systems. Hence the hardware implementation of the Gaussian filter becomes a reliable solution for real time image processing applications. This paper discusses the implementation of a novel Gaussian smoothing filter with low power approximate adders in Field Programmable Gate Array (FPGA). The proposed Gaussian filter is applied to restore the noisy images in the proposed system. Original test images with 512x512 pixels were taken and divided in to 4x4 blocks with 256x256 pixels. The proposed technique has been applied and the performance metrics were measured for various simulation criteria. The proposed algorithm is also implemented using approximate adders, since approximate adders had been recognized as a reliable alternate for error tolerant applications in circuit based metrics such as power, area and delay where the accuracy may be considered for trade off.
Performance Enhancement of Bidirectional NOC Router With and Without Contention for Reconfigurable Coarse Grained Architecture
Authors: Sougoumar Yazhinian , Sadasivam Tamilselvan
Published: January 2019

Network on Chip (NoC) router plays a vital role in System on Chip (SoC) applications. Routing operation is difficult to perform inside the SoC chip. Because it contains millions of chips in one single Integrated Circuit (IC), in which every chip consists of millions of transistors. Hence NoC router is designed to enable efficient routing operation in the SoC board.  NoC router consists of Network Interconnects (NI), Crossbar Switches, arbiters, a routing logic and buffers. Conventional unidirectional router is designed by priority based Round Robin Arbiter (RRA). It produces more delay to find the priority, which comes from various input channels and more area is consumed in unidirectional router. Also if any path failure occurs, it cannot route the data through other output channel. To overcome this problem, a novel bidirectional NoC router with and without contention is proposed, which offers less area and high speed than the existing unidirectional router. A novel bidirectional NoC router consists of round robin arbiter, Static RAM, switch allocator, virtual channel allocator and crossbar switch. The proposed bidirectional router can route the data from any input channel to each and every output channel. So it avoids conflict situation and path failure problems. If any path fails, immediately it will take the alternative path through the switch allocator. The proposed routing scheme is applied into the coarse grained architecture for improving the speed of the interconnection link between two processing elements. Simulation is performed by ModelSim6.3c and synthesis is carried out by Xilinx10.1.
Comparative Analysis of SRAAA, SDSR, SAODV Routing Protocol for Video Streaming in MANET
Authors: Chakravarthy V.J.
Published: January 2019

The most challenging concern in MANET is video streaming and it essentially exaggerated by these important factors such as fading, node mobility, interference, topology on change in dynamic, collusion, shadowing in multi-path etc. One of the very attractive and considered for many applications is Mobile Ad Hoc Networks (MANET).Routing Protocol is most significant element which is considered as the MANET. Though, the quite demanding task is video streaming over MANET. This paper have been investigated the analysis of routing protocols over MANET for video streaming. The comparison of the three routing protocols are Secure Dynamic Source Routing (SDSR), Secure Ad hoc On-demand Distance Vector (SAODV) and secured Right angled and Ant search routing Protocol (SRAAA) on the basis of various performance metrics such as Throughput, Packet Delivery Ratio (PDR), Delay, Packet Delivery Fraction (PDF), Energy Consumption, Link Failure and Packet Drop has been obtainable in this paper for supporting video streaming applications. Based on the compared stimulated results concluded that SRAAA routing protocol is comparatively better in performance of all metrics than the SAODV and SDSR routing protocols.
Cascaded Neural Network Based Data Mining Strategy for Cloud Intrusion Detection
Authors: Purniemaa P , Kannan R Jagadeesh
Published: January 2019

In recent years data mining has acquired huge popularity in the field of knowledge discovery. Thus, this approach has inspired several researches for anomaly detection, fraud detection and intrusion detection with higher accuracy, all round generalization of the problem and its sub cases; all giving higher performance in conditions subjected to continuous alteration. Though there remain quite a few challenging problems in design and implementation of a data mining based cloud intrusion detection system, as deception tactics and modeling of behavior remains a daunting problem to compute for anomaly owing to massive size of data to process in reasonable time. In this study we present a cascaded neural network based data mining strategy for cloud intrusion detection systems (IDSs) and presents the comparison and performance results tested on DARPA Intrusion Detection (ID) Data Sets, Knowledge Discovery and Data Mining Cup, NSL-KDD dataset. The study exhibits numerous advantages offered by the presented method and give reliable results of anomaly detection in real time scenario.
Review of Advancements in Multi-tenant Framework in Cloud Computing
Authors: Suresh K , Kannan R Jagadeesh
Published: January 2019

As the cloud computing is gaining more user base the problem of simultaneously catering computational resources to multitude of users or their application is on rise. It remains a critical problem and pose hindrance in scalability of cloud computing. Thus, in order to layout the proper solution for the mentioned problem; it is necessary to sum up a proper knowledge based of the existing solution, there drawbacks and a detail analysis of its performances. In this study we present a review of multi-tenant frameworks and approaches used in the industry which reaps advantages to facilitate multi-tenancy.
A Review of Electromyography Signal Analysis Techniques for Musculoskeletal Disorders
Authors: Tengku Zawawi T. N. S. , Abdullah A. R. , Jopri M.H. , Sutikno Tole , Saad N.M. , Sudirman R.
Published: January 2019

Social Security Organisation (SOCSO) Malaysia has reported that the incidence of work related to musculoskeletal disorders (MSDs) has been growing planetary in the manufacturing industry. MSDs are the result of repetitive, forceful or awkward movements on our body and or body parts of bones, joints, ligaments and other soft tissues. Workplace pains and strains can be serious and disabling for workers, causing pain and suffering ranging from discomfort to severe disability. To overcome this problem, Electromyography is proper to use in Health Screening Program (HSP) it to monitor darn diagnose the muscle’s performance for their patient and know the exact localization of muscle pain. The previous researchers has been explore of several in EMG analysis techniques and features proposed in time, frequency and time-frequency domain analysis. This review of common EMG signal processing techniques is proposed by assembling from simple to complex analysis techniques to give the overview information for the other researcher. This is because; the suitable selection of a method and its features settings will ensure readability of the time-frequency representations and reliability of results. The strongest correspond with time-frequency characteristic and resolution also reducing cross term for bilinear will consider it as the optimal method.
The Factors Affecting on Managing Sensitive Data in Cloud Computing
Authors: Muhasin Haifaa Jassim , Atan Rodziah , Jabar Marzanah A. , Abdullah Salfarina
Published: January 2019

Cloud computing represents the most important shift in computing and information technology (IT). However, security and privacy remain the main obstacles to its widespread adoption. In this research we will review the security and privacy challenges that affect critical data in cloud computing and identify solutions that are used to address these challenges. Some questions that need answers are: (a) User access management, (b) Protect privacy of sensitive data, (c) Identity anonymity to protect the Identity of user and data file. To answer these questions, a systematic literature review was conducted and structured interview with several security experts working on cloud computing security to investigate the main objectives of proposed framework, a pilot study by using a structured questionnaire was conducted. Framework using multilevel to enhance management information system on sensitive data in cloud environment.
Advanced Optimal For Three Phase Rectifier in Power Electronic System
Authors: Shneen Salam Waley
Published: January 2019

Interest in the power electronic system which used in many applications is increasing day by day. So, many researchers have focused on the analyses, design and control of these systems. In this study, Optimal for Three Phase Rectifier in Power Electronic System control strategy has been proposed for PSO-PI  fuzzy logic controller (FLC) based Three Phase Rectifier in Power Electronic System. Proposed Power Electronic System(PES) consists of input, isolation and output stages. In order to test dynamic performance of PSO-PI  based PES, simulation study was carried out by MATLAB/Simulink. The results obtained from the PSO-PI  based PES are not only superior in the rise time, settling time and overshoot but can prevent from voltage and has improved power quality.
A Radio Signal Strength Based Localization Error Optimization Technique for Wireless Sensor Network
Authors: Thimmaiah Sudha H. , G Mahadevan
Published: January 2019

Wireless Sensor Networks (WSN) is useful in collecting data from various sensor devices that are distributed over a network which is generally positioned in a stationary manner. Wireless sensor based communication system is an ever growing sector in the industry of communication. Wireless infrastructure is a network that enables correspondence between various devices associated through an infrastructure protocol. Finding the position or location of sensor node (Localization) is an important factor in sensor network for proving efficient service to end user. The existing technique proposed so for adopt AOA (Angle of Arrival), TOA (Time of Arrival) etc… suffers in estimating the likelihood of localization error and induces high cost of deployment. To cater this in this work the author proposes a cost effective RSS (Received signal strength) based localization technique and also proposes an adaptive information estimation to reduce or approximate the localization error in wireless sensor network. The author compares our proposed localization model with existing protocol and analyse its efficiency.
Design and Analysis of a Smart Blind Stick for Visual Impairment
Authors: Mohd Yusof Zulkhairi , Billah Md Masum , Kadir Kushsairy , Rohim Muhamad Amirul Sunni Bin Rohim , Nasir Haidawati , Izani M. , Razak A.
Published: January 2019

For a long time, visually impaired person uses a white cane to guide their way when travel outside. The white cane has been useful for the blinds in improving their mobility but unfortunately the white cane has its limitation. One of the shortcomings of the white cane is that, it could only detect the obstacles that are within the contact ranges of the white cane. This problem sometimes could cause the blind person to be in trouble because of insufficient time to detect and warn new obstacles in front of the blind person. This research proposes a walking stick system that has two functions; to classify an obstacles height whether it is low or high and to detect a front hole. The ability to detect the height of an obstacle will help the visually impaired to either step over or avoid the obstacle. The ability to detect a hole should help the visually impaired to avoid it in time. The walking stick will use two ultrasonic sensors for the detection of obstacle height, and a laser sensor for the detection of hole. A controller will be used to monitor and analyze the data from the sensors and feedback to the user through a vibration sensor and buzzer. The algorithm to differentiate the height of obstacles is working well and it is able to differentiate high or low obstacles. The laser ranging sensor has successfully been tested for hole detection. Therefore, the walking stick with ultrasonic and laser sensors will help more visually impaired to move around much faster and feeling more safer due to improved warning system for their movement.
Homotopy Analysis Method for the First Order Fuzzy Volterra-Fredholm Integro-differential Equations
Authors: A. Hamoud Ahmed , P. Ghadle Kirtiwant
Published: January 2019

A fuzzy Volterra-Fredholm integro-differential equation (FVFIDE) in a parametric case is converted to its related crisp case.  We use homotopy analysis method to find the approximate solution of this system and hence obtain an approximation for the fuzzy solution of the  FVFIDE. This paper discusses existence and uniqueness results and convergence of the proposed method.
Signal Processing in Telecommunications with Forward Correction of Errors
Authors: Boiko Juliy , Eromenko Oleksander
Published: January 2019

The development of mechanisms of increase efficiency of frequency-shift keying signals processing in telecommunications using algorithms of noise immunity channel coding in obstacle effect conditions is held in the article. The synthesis of the frequency-shift keying signal processing unit accounting intersymbol communication which is inherent for such signals with continuous phase is held. The conditions of the compromise implementation in the telecommunication information transmission channel with frequency shift keying and error correction coding for setting the optimal encoding rate in the range of the bandwidth of the information transmission system are explored. Linear cyclic codes Bose-Chaudhuri-Hocquenghem (BCH) are used for studying. By means of Matlab the article focuses on the definition of energetic benefit compared to uncoded system in case of equality of the bandwidth of the information transmission system with coding and without coding.
Performance Analysis of Power Consumption in LTE-A eNB and its Effect on the Overall System Efficiency
Authors: Sackey Eric Nii , Sackey Eric
Published: January 2019

Machine-to-Machine (M2M) communication over the Long Term Evolution Advanced (LTE-A) networks has witness exponential growth and expansion in the last couple of years. This expansion has created an increase in the demand for high speed internet, multimedia messaging services, digital broadcasting etc, thus fuelling higher data traffic. The network operators in trying to meet this increasing demand injected more access points by deploying more Base Stations (BSs) to make the network denser. The BSs are the major consumers of energy in the wireless communication network due to the use of inefficient power amplifiers and therefore deploying more BSs into the network will increase the power consumption and the networks operational cost. The aim of this paper was to examine the power consumption patterns of the main elements in the BS, employ various techniques to reduce their power consumption, reduce the operational cost and improve the efficiency of the BS.
Performance Improvement of MIMO-OSTBC System with BCH-TURBO Code In Rayleigh Fading Channel
Authors: Naima SOFI , Debbat FATIMA , Bendimerad Fethi Tarik
Published: January 2019

Recently, OSTBCs has become a widespread technique for signal transmission over wireless channels because of their diversity gain, but there are not designed to achieve an additional coding gain. Hence, OSTBCs must be concatenated with an external code which allows a significant coding gain.FEC (forward error correction) is a technique used for detecting and possibly correcting errors that can occur when messages are transmitted through a digital communication system, also for rendering the information more reliable. Thus, with staffing these coding techniques that are able to reach Shannon limits, in  MIMO systems, better performances can be achieved by taking advantages of  diversity and coding gains. The objective of this paper is to compare different FEC codes in Rayleigh fading channel and propose an appropriate code for MIMO-OSTBC systems. The simulation results reveal the performance of the proposed model
Video Quality Assessment through PSNR Estimation for Different Compression Standards
Authors: Deshpande Renuka Girish , Ragha Lata L , Sharma Satyendra Kumar
Published: January 2019

Abstract

           There is a threefold increase in video traffic over internet. Due to this video compression has become important. Compression of video signals is quiet an interesting task but comes at the cost of video quality. After compression, two methods are scientifically applied to evaluate the quality of video; Subjective and objective analysis. In subjective approach the compressed video is shown to a group of viewers and their feedback is recorded Objective approach aims to set up a mathematical model which can approximate the results of subjective analysis. One such approach is based on the measurement of PSNR. When a signal is applied to the encoder for compression, too much of compression results in a signal with a smaller size but at the same time quality of the signal degrades. In this paper we will compare the quality of compressed video signals produced by H.264, Mpeg2 and Mpeg4 encoder based on the values of MSE and PSNR. Lower the value of MSE, higher will be the PSNR. Comparative plots of MSE, PSNR, SSIM and images for subjective analysis have been added at the end of this paper. 
Discrete Chicken Swarm Optimization for the Quadratic Assignment Problem
Authors: Semlali Soukaina Cherif Bourki , Essaid Riffi Mohammed , Chebihi Fayçal
Published: January 2019

The main objective of our research is to improve an adaptation of the chicken swarm optimization algorithm (CSO) to solve the quadratic assignment problem, which is a well-known combinatorial optimization problem. The new approach is based on the CSO without using a local search, the CSO-QAP is a stochastic method inspired from the behavior of chickens in swarm while searching for food. The experiments are performed on a set of 56 benchmark QAPLIB instances. To prove the robustness of our algorithm a comparative analysis is done with the known metaheuristic of Genetic algorithm based on SCX. The average percentage of error to get the best Known solution in our proposed work with the results obtained by applying a simple genetic algorithm using sequential constructive crossover for the quadratic assignment problem. The results show the effectiveness of the proposed CSO-QAP to solve the Quadratic assignment problem in term of time and quality of solutions. The proposed adaptation can be further applied by using a local search strategy to solve the same problem or another combinatorial problem.
Survey On The Role Of IoT In Intelligent Transportation System
Authors: Chand H Varun , J Karthikeyan
Published: January 2019

Precise and appropriate traffic related data allows travellers to choose suitable travelling modes, travelling paths, and departure time, which is crucial for the success of Intelligent Transportation System (ITS). With the growth of vehicles, the rate of pollution and consumption of fuel has increased, it also creates traffic congestions. For the recent years there has been a rapid growth in technology, which can be explored to solve traffic issues. However, depending upon the available technologies each countries ITS research area may be different. The objective of this literature review is to integrate ITS with internet of things and it also discusses the prospect of clustering, controller system, location identification and resource privacy in ITS.
An Improved Flexible Partial Histogram Bayes Learning Algorithm
Authors: Lawend Haider O. , Muad Anuar , Hussain Aini
Published: January 2019

This paper presents a proposed supervised classification technique namely flexible partial histogram Bayes (fPHBayes) learning algorithm. In our previous work, partial histogram Bayes (PHBayes) learning algorithm showed some advantages in the aspects of speed and accuracy in classification tasks. However, its accuracy declines when dealing with small number of instances or when the class feature distributes in wide area. In this work, the proposed fPHBayes solves these limitations in order to increase the classification accuracy. fPHBayes was analyzed and compared with PHBayes and other standard learning algorithms like first nearest neighbor, nearest subclass mean, nearest class mean, naive Bayes and Gaussian mixture model classifier. The experiments were performed using both real data and synthetic data considering different number of instances and different variances of Gaussians. The results showed that fPHBayes is more accurate and flexible to deal with different number of instances and different variances of Gaussians as compared to PHBayes.
Machine Learning with PySpark - Review
Authors: Bandi Raswitha , Amudhavel J , Karthik R
Published: January 2019

A reasonable distributed memory-based Computing system for machine learning is Apache Spark. Spark is being superior in computing when compared with Hadoop. Apache Spark is a quick, simple to use for handling big data that has worked in modules of Machine Learning, streaming SQL, and graph processing. We can apply machine learning algorithms to big data easily, which makes it simple by using Spark and its machine learning library MLlib, even this can be made simpler by using the Python API PySpark. This paper presents the study on how to develop machine learning algorithms in PySpark. 