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An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

10.11591/ijece.v9i6.pp5360-5367
Wan Isni Sofiah Wan Din , Asyran Zarizi Bin Abdullah , Razulaimi Razali , Ahmad Firdaus , Salwana Mohamad , Danakorn Nincarean Eh Phon , Cik Feresa Mohd Foozy
Wireless Sensor Network (WSN) is a distributed wireless connection that consists many wireless sensor devices. It is used to get information from the surrounding activities or the environment and send the details to the user for future work. Due to its advantages, WSN has been widely used to help people to collect, monitor and analyse data. However, the biggest limitation of WSN is about the network lifetime. Usually WSN has a small energy capacity for operation, and after the energy was used up below the threshold value, it will then be declared as a dead node. When this happens, the sensor node cannot receive and send the data until the energy is renewed. To reduce WSN energy consumption, the process of selecting a path to the destination is very important. Currently, the data transmission from sensor nodes to the cluster head uses a single hop which consumes more energy; thus, in this paper the enhancement of previous algorithm, which is MAP, the data transmission will use several paths to reach the cluster head. The best path uses a small amount of energy and will take a short time for packet delivery. The element of Shortest Path First (SPF) Algorithm that is used in a routing protocol will be implemented. It will determine the path based on a cost, in which the decision will be made depending on the lowest cost between several connected paths. By using the MATLAB simulation tool, the performance of SPF algorithm and conventional method will be evaluated. The expected result of SPF implementation will increase the energy consumption in order to prolong the network lifetime for WSN.
Volume: 9
Issue: 6
Page: 5360-5367
Publish at: 2019-12-01

A novel compact CPW Band-stop filter using O-DGS configuration

10.11591/ijece.v9i6.pp4836-4844
Elmahjouby Sghir , Ahmed Errkik , Jamal Zbitou , Larbi El abdellaoui , Abdelali Tajmouati , Mohamed Latrach
A novel and compact multi-band stop filter using two different structures of circular DGS and circular DGS loaded with O-DGS unit, has good selectivity and  wide upper pass band performance  with good rejection based on defected ground structure (DGS) integrating a circular ring  resonator to suppress undesired spurious bands frequency or harmonics in radio frequency and microwave circuits is proposed. An equivalent circuit model has been derived for the both structures of circular DGS and circular DGS loaded. The presented filter has a compact size because the circular ring resonator is integrated in DGS, the both of them are etching in the ground plane. The proposed filter presents an optimization method for generating multi-band characteristics without using a periodic cells or other complicate topology. The simulated results by ADS Agilent are presented and compared with the results simulated by two others software: CST and HFSS. Good agreement between the three simulated results is observed.
Volume: 9
Issue: 6
Page: 4836-4844
Publish at: 2019-12-01

Advanced control structures for induction motors with ideal current loop response using field oriented control

10.11591/ijpeds.v10.i4.pp1758-1771
Vo Thanh Ha , Nguyen Tung Lam , Vo Thu Ha , Vo Quang Vinh
Field oriented control (FOC) is widely used for high performance induction motor (IM) electrical drive systems. Typically, FOC uses linear controls and space vector modulation (SVM) to control the fundamental components of the stator voltages. This work shows that based on a fast and precise inner current loop response one may flexibly employ different advanced control methods, to achieve high performance outer loops (speed and flux control). In this paper, novel approaches based on dead-beat scheme for the current loop combining with exact linearization, backstepping controls, and fatness-based methods for the outer loop are proposed. By comparing with classical PI control, the proposed method shows the outstanding features of system response such as fast, accurate and decoupling properties. The performance evaluation is given by experimental results.
Volume: 10
Issue: 4
Page: 1758-1771
Publish at: 2019-12-01

A novel approach to big data analysis using deep belief network for the detection of android malware

10.11591/ijeecs.v16.i3.pp1447-1454
Uma Narayanan , Varghese Paul , Shelbi Joseph
Mobile and tablets are rapidly getting the chance to be basic device in the everyday life. Android has been the most well-known versatile working structure. Regardless, inferable from the open thought of Android, amount of malware is concealed in a broad number of kind applications in Android exhibits that really undermine Android security. Deep learning is another domain of AI explore that has expanded extending thought in artificial information. In this examination, we propose to relate the features from the static examination with features from the dynamic examination of Android applications and depict malware using Deep learning systems. What's more, besides distinguishing sensitive customer data sources is fundamental for security protection in portable applications. So we propose a Novel way to deal with overseeing tremendous information examination utilizing Deep learning for the affirmation of Android malware.
Volume: 16
Issue: 3
Page: 1447-1454
Publish at: 2019-12-01

Insight on face liveness detection: A systematic literature review

10.11591/ijece.v9i6.pp5165-5175
Enas A. Raheem , Sharifah Mumtazah Syed Ahmad , Wan Azizun Wan Adnan
To review researcher’s attempts in response to the problem of spoofing and liveness detection, mapping the research overview from the literature survey into a suitable taxonomy, exploring the basic properties of the field, motivation of using liveness detection methods in face recognition, and Problems that may restrain the advantages. We presented a subjected search on face recognition with liveness detection and its synonyms in four main databases: Web of science, Science Direct, Scopus and IEEE Xplore. We believe that these databases are widely inclusive enough to cover the literature. The final number of articles considered is 65 articles. 4 of them where review and survey articles that described a general overview about liveness detection and anti-spoofing methods. Since 2012, and despite of leaving some areas unestablished and needs more attention, researchers tried to keep track of liveness detection in several ways. No matter what their category is, articles concentrated on challenges that faces the full utility of anti-spoofing methods and recommended some solutions to overcome these challenges. In this paper, different types of liveness detection and face anti-spoofing techniques are investigated to keep researchers updated with what is being developed in this field.
Volume: 9
Issue: 6
Page: 5165-5175
Publish at: 2019-12-01

Enhancement transient stability of wind power system of doubly-fed induction generator using STATCOM and PI controller

10.11591/ijpeds.v10.i4.pp1977-1985
Shaimaa Shukri A. Alhalim , Lubna A. Alnabi
Wind energy is a promising source of electricity in the world and fastest-growing. Doubly-Fed Induction Generator (DFIG) systems dominate and widely used in wind power system because of their advantages over other types of generators, such as working at different speeds and not needing continuous maintenance. In this paper used the PI controller and Flexible AC Transmission System (FACTS) device specifically static compensator (STATCOM) to investigate the effect of the controller and FACTS device on the system. PI controller tuning by Particle Swarm Optimization technique (PSO) to limit or reduced the fault current in (DFIG) system. The responses of different kinds of faults have been presented like; two lines to ground faults and three lines to ground faults at different operating conditions. Faults are applied to three proposed controllers; the first controller is the Proportional-Integral (PI), the second controller is PI-controller based on Particle Swarm Optimization (PI-PSO) technique and STATCOM. A reactive power static synchronous compensator (STATCOM) is used, the main aim for the use of STATCOM is to improve the stability of a wind turbine system in addition to this is improving voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines. The simulation programming is implemented using MATLAB program.
Volume: 10
Issue: 4
Page: 1977-1985
Publish at: 2019-12-01

A proposed architecture of big educational data using hadoop at the University of Kufa

10.11591/ijece.v9i6.pp4970-4978
Ahmed Yaseen Mjhool , Ahmed Hazim Alhilali , Salam Al-augby
Nowadays, educational data have been increased rapidly because of the online services provided for both students and staff. University of Kufa (UoK) generates a massive amount of data annually due to the use of e-learning web-based systems, network servers, Windows applications, and Students Information System (SIS).  This data is wasted as traditional management software are not capable to analysis it. As a result, the Big Educational Data concept rises to help education sectors by providing new e-learning methods, allowing to meet individual demands and reach the learners' goals, and supporting the students and teacher’s interaction. This paper focuses on designing Big Data analysis architecture, based on the Hadoop in the UoK and the same case for other Iraqi universities. The impact of this work, help the students learn, emphasizing the need of academic researchers and data science specialist for learning and practicing Big Data analytics and support the analysis of the e-learning management system and set the first step toward developing data repository and data policy in UoK.
Volume: 9
Issue: 6
Page: 4970-4978
Publish at: 2019-12-01

Hand detection and segmentation using smart path tracking fingers as features and expert system classifier

10.11591/ijece.v9i6.pp5277-5285
Khaled N. Yasen , Fahad Layth Malallah , Lway Faisal Abdulrazak , Aso Mohammad Darwesh , Asem Khmag , Baraa T. Shareef
Nowadays, hand gesture recognition (HGR) is getting popular due to several applications such as remote based control using a hand, and security for access control. One of the major problems of HGR is the accuracy lacking hand detection and segmentation. In this paper, a new algorithm of hand detection will be presented, which works by tracking fingers smartly based on the planned path. The tracking operation is accomplished by assuming a point at the top middle of the image containing the object then this point slides few pixels down to be a reference point then branching into two slopes: left and right. On these slopes, fingers will be scanned to extract flip-numbers, which are considered as features to be classified accordingly by utilizing the expert system. Experiments were conducted using 100 images for 10-individual containing hand inside a cluttered background by using Dataset of Leap Motion and Microsoft Kinect hand acquisitions. The recorded accuracy is depended on the complexity of the Flip-Number setting, which is achieved 96%, 84% and 81% in case 6, 7 and 8 Flip_Numbers respectively, in which this result reflects a high level of finite accuracy in comparing with existing techniques.
Volume: 9
Issue: 6
Page: 5277-5285
Publish at: 2019-12-01

Аutomаtіϲ generаtіon control bаѕeԁ wһale орtimіzatіon algorithm

10.11591/ijece.v9i6.pp4516-4523
Wisam Najm Al-Din Abed , Omar A. Imran , Ibrahim S. Fatah
In the designing and operation of interconnected power systems, automatic-generation-control (AGC) represent an important topic. AGC is responsible for maintaining the balance between generation side and load side via controlling the frequency and active power interchange. A new metaheuristic strategy is proposed in this work for optimal controller tuning in AGC system. Ԝһale Орtimіzatіоn Αlgorithm(WOA) is proposed for optimal tuning of reset integral controller. T he proposed strategy is used for optimal AGC in two-areas interconnected-power system. The proposed tuning strategy is compared with other new metaheuristic optimization strategy termed as Harmony Search (HS). The two-area interconnected power system are simulated based MATLAB-toolbox. From results obtained, it is obvious that, the system transient and steady-state behavior are enhanced greatly under the same conditions. This is due to the use of the proposed optimization technique.  The proposed technique has an advanced and superior feature like, local optimum avoiding, fast convergence ability, and lower search agents and iteration are required. All mentioned features, make this strategy optimal for various optimization problems.
Volume: 9
Issue: 6
Page: 4516-4523
Publish at: 2019-12-01

Emergent situations for smart cities: A survey

10.11591/ijece.v9i6.pp4777-4787
Ahmad Mohamad Al-Smadi , Mutasem K. Alsmadi , Abdel Karim Baareh , Ibrahim Almarashdeh , Hayam Abouelmagd , Osman Saad Shidwan Ahmed
A smart city is a community that uses communication and information technology to improve sustainability, livability, and feasibility. As any community, there are always unexpected emergencies, which must be treated to preserve the regular order. However, a smart system is needed to be able to respond effectively to these emergent situations. The contribution made in this survey is twofold. Firstly, it provides a comprehensive exhaustive and categorized overview of the existing surveys for smart cities.  The categorization is based on several criteria such as structures, benefits, advantages, applications, challenges, issues, and future directions. Secondly, it aims to analyze several studies with respect to emergent situations and management to smart cities. The analysis is based on several factors such as the challenges and issues discussed, the solutions proposed, and opportunities for future research. The challenges include security, privacy, reliability, performance, scalability, heterogeneity, scheduling, resource management, and latency. Few studies have investigated the emergent situations of smart cities and despite the importance of latency factor for smart city applications, it is rarely discussed.
Volume: 9
Issue: 6
Page: 4777-4787
Publish at: 2019-12-01

Performance comparison of artificial intelligence techniques in short term current forecasting for photovoltaic system

10.11591/ijpeds.v10.i4.pp2148-2156
Muhammad Murtadha Othman , Mohammad Fazrul Ashraf Mohd Fazil , Mohd Hafez Hilmi Harun , Ismail Musirin , Shahril Irwan Sulaiman
This paper presents artificial intelligence approach of artificial neural network (ANN) and random forest (RF) that used to perform short-term photovoltaic (PV) output current forecasting (STPCF) for the next 24-hours. The input data for ANN and RF is consists of multiple time lags of hourly solar irradiance, temperature, hour, power and current to determine the movement pattern of data that have been denoised by using wavelet decomposition. The Levenberg-Marquardt optimization technique is used as a back-propagation algorithm for ANN and the bagging based bootstrapping technique is used in the RF to improve the results of forecasting. The information of PV output current is obtained from Green Energy Research (GERC) University Technology Mara Shah Alam, Malaysia and is used as the case study in estimation of PV output current for the next 24-hours. The results have shown that both proposed techniques are able to perform forecasting of future hourly PV output current with less error.
Volume: 10
Issue: 4
Page: 2148-2156
Publish at: 2019-12-01

A reliable approach to customizing linux kernel using custom build tool-chain for ARM architecture and application to agriculture

10.11591/ijece.v9i6.pp4920-4928
Mahendra Swain , Rajesh Singh , Anita Gehlot , Md Farukh Hashmi , Shiv Kumar , Manish Parmar
ARM processors are receiving more attention as per IoT customized devices are concerned. A novel framework design tool for Linux kernel customization on ARM architecture has been illustrated. The tool is best suit from ARM based platformss like Raspberry pi, Beagle Bone, Intel Edison etc. The proposed techniques uses different tool chains for the kernel customization. The paper represents an integral framework that integrates all the cross compiling tools and simplifies the overall process. The framework has been used for the development of a customized kernel for Raspberry Pi on Ubuntu 14.04 host computer. The custom kernel has been ported in to Raspberry Pi and the performance evaluation has been done. Furthermore, the analysis aims to help users choose and configure their tracers based on their specific requirements to reduce their overhead and get the most of out of them. The testing of customized OS with raspberry Pi device in the field of agriculture. The smart node/mote is designed based on it to deploy in the agriculture field to test its feasibility. The group of nodes data is gathered using ThingSpeak cloud server. The gathered sensory data is analyzed and forecast on farmer’s mobile phone in the form of APP or handheld device for farmer.
Volume: 9
Issue: 6
Page: 4920-4928
Publish at: 2019-12-01

DC-DC converter based power management for go green applications

10.11591/ijpeds.v10.i4.pp2046-2054
Abitha Memala W , C. Bhuvaneswari , S.M. Shyni , G. Merlin Sheeba , Modi Surya Mahendra , V Jaishree
A non-isolated tri-port converter is a fully compact and functional system by the integration of basic converters. This can be used for renewable energy applications. This converter is capable of achieving different switching patterns of power flow between the source and load, interfaced sources of various voltage and current levels with the dc grid. This tri-port converter has to be used for continuous power distribution of rechargeable battery, photovoltaic panels and load. Due to the implementation of this dc-dc converter some operations like buck, boost and buck-boost operations became easy. Use of this converter helps in easy implementation of the system. The solar PV panel implementation boosts the system to a high level and bidirectional flow became easy from source to load and vice versa
Volume: 10
Issue: 4
Page: 2046-2054
Publish at: 2019-12-01

LQR control of interleaved double dual boost converter for electrical vehicles and renewable energy conversion

10.11591/ijeecs.v16.i3.pp1240-1248
J. S. V. Siva Kumar , P. Mallikarjunarao
The automobile industry is one of the major industries that are having its new innovations at a great pace according to the requirements of the day-to-day life. Due to the usage of conventional vehicles on a large scale which usually use petroleum products as fuel, is leading to a vast environmental effect, mainly due to the emission of greenhouse gases. So in order to reduce the ill effects of the greenhouse gas emissions great efforts are being put in   manufacturing of electrical vehicles. Among the currently available greenhouse technologies the fuel cell provides high energy density in spite of its expenses. So, in this aspect a required mechanism has to be adopted to make it energy efficient and affordable. In order to overcome the drawback of fuel cell i.e. low output voltage, the boost converters are to be used and to be more precise Non-isolated Interleaved Double Dual Boost (IDDB) converters are recommended which makes it efficient and also the reduction of overall vehicle weight can be achieved. The LQR control technique is applied in this work to make the transient response of the fuel cell powered IDDB converter for various load conditions effective. The verification of results is done with simulation techniques using MATLAB/Simulink.
Volume: 16
Issue: 3
Page: 1240-1248
Publish at: 2019-12-01

A significant energy management control strategy for a hybrid source EV

10.11591/ijece.v9i6.pp4580-4585
A Geetha , C Subramani
The conceptualization of Electric vehicles has been significant in solving the pollution due to the transportation problem. However, its design and working has not yet been perfected and can be optimized. An effective model of the electric vehicle is the integration of batteries and supercapacitors. In this paper, the optimal sharing of energy between the battery and the supercapacitor is provided by the Particle Swarm Optimization (PSO). The results reveal that the proposed algorithm can better share the energy between the hybrid sources. The simulations are carried out in MATLAB Simulink platform and the results obtained for ECE-15 driving cycle is presented.
Volume: 9
Issue: 6
Page: 4580-4585
Publish at: 2019-12-01
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