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31,291 Article Results

Improved model for investigating transient stability in multimachine power systems

10.11591/ijeecs.v13.i1.pp368-376
Ali Hamzeh , Zakaria Al-Omari
The determinant factor in transient stability study of electric power systems is the behavior of synchronous generators when subjected to sudden and large disturbances. The objective of this paper is to develop a mathematical model, general algorithm, and a computer program to investigate the transient stability of multi-machine power systems. The developed mathematical model is established as a first step. The new developments lie in modeling the fault occurrence and fault clearance as well as the procedure of computing the system matrices during and after the fault through only modification of the matrix before the fault. Based on the developed mathematical model, a general algorithm was built and translated into a computer program using an object-oriented and visual language called Delphi. The algorithm adopted the Runge-Kutta method for numerical solution of differential swing equations and was programmed within the program. The developed program was validated by applying it to small sample electrical networks. The program was used to analyze the transient stability of a relatively large test network and accurate results were obtained that could be relied upon for protective relays settings and optimization of control system parameters. It was found that the developed program is an effective and rapid tool for estimating transitory stability for real power systems.
Volume: 13
Issue: 1
Page: 368-376
Publish at: 2019-01-01

Real-virtual Monte Carlo simulation on impulse-momentum and collisions

10.11591/ijeecs.v13.i1.pp7-14
Wartono Wartono , Dwi Hartoyo , Nilasari Nilasari , John Rafafy Batlolona
This study aims to determine the differences in scientific literacy of students who were given inquiry learning through a real-virtual Monte Carlo experiment with students who were given conventional learning. This study used quasi experimental design with pretest-posttest control group. The results showed that the ability of students who were taught by inquiry learning models through real-virtual Monte Carlo experiments had higher scientific literacy than those taught with conventional models, it also applied well to students with high and low initial abilities. The results of the average gain in scientific literacy scores also showed a higher value between students who studied with the inquiry model through a real-virtual Monte Carlo experiment with students who studied with conventional models. The novelty of this research is combining real and virtual activities become real-virtual Monte Carlo by using the inquiry learning model to improve students' scientific literacy.
Volume: 13
Issue: 1
Page: 7-14
Publish at: 2019-01-01

FPGA implementation of color image encryption using a new chaotic map

10.11591/ijeecs.v13.i1.pp129-137
Hamsa A Abdullah , Hikmat N Abdullah
In this paper, an FPGA implementation of efficient image encryption algorithm using a chaotic map has been proposed. The proposed system consists of two phases image encryption technique. First phase consists of scrambling of pixel position and second phase consist of diffusion of bit value. In the first phase, original pixel values remain unchanged. In second phase, pixel values are modified. These modifications are done by using chaotic behavior of a recently developed chaotic map called Nahrain.  A color image encryption using Nahrain chaotic map is simulated in software via Matlab, Altera Quartus Prime 17.0 Lite EditionI and ModelSim software tools then implemented in hardware via Cyclone V GX Starter Kit FPGA platform. The results show the feasibility and effectiveness of the cryptosystem. As a typical application, the image encryption/decryption is used to demonstrate and verify the operation of the cryptosystem hardware. Complete analysis on robustness of the method is investigated. Correlation, Encryption time, Decryption time and key sensitivity show that the proposed crypto processor offers high security and reliable encryption speed for real-time image encryption and transmission.  To evaluate the performance, histogram, correlation, information entropy, number of pixel change rate (NPCR), and unified average changing intensity (UACI) measures are used for security analysis. The simulation results and security analysis have demonstrated that the proposed encryption system is robust and flexible. For example the amount of entropy obtained by the proposed algorithm is 7.9964, which is very close to its ideal amount: 8, and NPCR is 99.76 %, which is the excellent value to obtain. The hardware simulation results show that the number of pins that used of the proposed system reaches to 6% of total pins and Logic utilization (in ALMs) is 1%.
Volume: 13
Issue: 1
Page: 129-137
Publish at: 2019-01-01

Electrical characteristic of photovoltaic thermal collector with water-multiwalled carbon nanotube nanofluid flow

10.11591/ijeecs.v13.i1.pp324-330
Nur Farhana Mohd Razali , Ahmad Fudholi , Mohd Hafidz Ruslan , Kamaruzzaman Sopian
Photovoltaic thermal (PVT) studies show promising results from utilizing waste heat under the PV module. Heat removal is essentially the base of a PVT collector. The heat absorption from the back of the PV module used for different purposes. Solar energy being collected are mostly turned into heat and needs to be extracted to maintain PV’s efficiency. The PVT collector works similar to a flat plate solar collector, except that the short wavelengths are converted into electricity and the remaining wavelengths into useful heat. The heat collected is also at a lower magnitude than collected by solar thermal collectors. This study present the experimental investigation to improve the efficiency of PVT collector with and without Multiwalled Carbon Nanotube (MWCNT) nanofluid using spiral rectangular tube absorber as cooling. The electrical characteristic of PVT collector are represented by plotting power (P)-voltage (V), current (I)-voltage (V) curves. The results shows the power generated will increase with the increasing of solar radiation, and efficiency is slightly higher than the PVT collector without MWCNT. In addition, the highest maximum power increase is obtained when the 0.1 wt% MWCNT nanofluid is used as a coolant in the PVT collector.
Volume: 13
Issue: 1
Page: 324-330
Publish at: 2019-01-01

A new look at energy harvesting half-duplex DF power splitting protocol relay network over rician channel in case of maximizing capacity

10.11591/ijeecs.v13.i1.pp249-257
Phu Tran Tin , Minh Tran , Tan N. Nguyen , Thanh-Long Nguyen
In this paper, the system performance in term of the ergodic capacity of a half-duplex decode-and-forward relaying network over Rician Fading Channel is investigated. The power splitting protocol is proposed for the system model. For this purpose, the analytical mathematical expressions of the ergodic capacity in cases of maximize and no-maximize ergodic capacity are derived and discussed. Furthermore, the effect of various system parameters on the system performance is rigorously studied. Finally, the analytical results are also demonstrated by Monte-Carlo simulation in comparison with the analytical expressions. The research results show that the analytical mathematical and simulated results match for all possible parameter values for both schemes. 
Volume: 13
Issue: 1
Page: 249-257
Publish at: 2019-01-01

Leaders and followers algorithm for constrained non-linear optimization

10.11591/ijeecs.v13.i1.pp162-169
Helen Yuliana Angmalisang , Syaiful Anam , Sobri Abusini
Leaders and Followers algorithm was a novel metaheuristics proposed by Yasser Gonzalez-Fernandez and Stephen Chen. In solving unconstrained optimization, it performed better exploration than other well-known metaheuristics, e.g. Genetic Algorithm, Particle Swarm Optimization and Differential Evolution. Therefore, it performed well in multi-modal problems. In this paper, Leaders and Followers was modified for constrained non-linear optimization. Several well-known benchmark problems for constrained optimization were used to evaluate the proposed algorithm. The result of the evaluation showed that the proposed algorithm consistently and successfully found the optimal solution of low dimensional constrained optimization problems and high dimensional optimization with high number of linear inequality constraint only. Moreover, the proposed algorithm had difficulty in solving high dimensional optimization problem with non-linear constraints and any problem which has more than one equality constraint. In the comparison with other metaheuristics, Leaders and Followers had better performance in overall benchmark problems.
Volume: 13
Issue: 1
Page: 162-169
Publish at: 2019-01-01

Securing SAAS service under cloud computing based multi-tenancy systems

10.11591/ijeecs.v13.i1.pp65-71
Trinathbasu Miriyala , JKR Sastry
Cloud computing technologies are being used by many who need computing resources such as software, platform and infrastructure as per their business requirements in terms of provisioning and pay for the usage as per actual consumption of the services based on the SLA signed by the user and cloud service provider. Software running on a physical machine is being provided as services to the end users. For the reasons of cost economies access to software that uses a database is being provided to multiple users. The access to the software is provided either directly or through a virtual machine. The software being provided as service uses the same database for many of the users who have requisitioned for the same. As a result, there could be encroachments by the users into the data of others. There is a need to secure the data belonging to several users while all of them access the data using the same application. In this paper an efficient method is presented for securing the data processed by software which is offered as a service to multiple users either directly or through virtual machines.    
Volume: 13
Issue: 1
Page: 65-71
Publish at: 2019-01-01

A proposed forward clause slicing application

10.11591/ijeecs.v13.i1.pp1-6
Khalil Awad , Mohammad Abdallah , Abdelfatah Tamimi , Amir Ngah , Hanadi Tamimi
The Clause slicing technique is static slicing techniques which also have forward and backward slicing methods. The Clause slice criteria are the clause and the clause number. In this paper, we have discussed the Clauser tool the forward clause slicing tool introduce some improvements to it. The Clauser mechanism divides the program code statement into clauses, depending on clause slicing rules, identifies the variables and built-in functions, then slices the clauses regarding the slice criterion that was entered by the user. Comparing to other static slicing techniques the clause slicing is more accurate and precise because it considers all the code in micro-level, where it focuses on every syntax in the code. The Clauser still needs to be enhanced to slice more code features.
Volume: 13
Issue: 1
Page: 1-6
Publish at: 2019-01-01

Design and development of an algorithm for mining rare item sets

10.11591/ijeecs.v13.i1.pp41-47
Sachin Sharma , Shaveta Bhatia
Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. These item sets are advantageous in professional decision making. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies, to catch rare item sets, customer demarcated single threshold value ought be fixed small adequate which outcomes in generation of enormous quantity of duplicate item sets. The rare item sets may not initiate if a high threshold value is fixed. In this study, an exertion is generated to analyse the rare items for discovery of all probable rare item sets from the transaction database. To mine rare item sets effectually, a method has been anticipated that would permit customer to identify many lowest support that imitates the items and their diverse occurrences in list. Investigational results shows that novel methodology is more righteous and vigorous than the present systems.
Volume: 13
Issue: 1
Page: 41-47
Publish at: 2019-01-01

Optimal placement of grid-connected photovoltaic generators in a power system for voltage stability enhancement

10.11591/ijeecs.v13.i1.pp339-346
Zetty Adibah Kamaruzzaman , Azah Mohamed , ramizi mohamed
The high penetration of photovoltaic (PV) generation can cause many technical issues such as power quality and impact on the power system voltage stability. To improve voltage stability and reducing power loss in a power system with PV generators, appropriate planning of PV generators is considered by optimal placement of PV. Thus, an effective heuristic optimization technique such as the Wind Driven Optimization (WDO) technique is applied for determining optimal location of PV generators in a power system. For determining the optimal location of PV, the objective function considers maximizing the Improved Voltage Stability Index. The proposed method for optimal location of PV generators is implemented on the IEEE 118 and 30 bus transmission systems and the 69-radial distribution system. The optimization results show that integrating PV into the test systems improves voltage stability in the system. Comparing the performance of the WDO with the particle swarm optimization technique, it is shown that the WDO technique gives faster convergence.
Volume: 13
Issue: 1
Page: 339-346
Publish at: 2019-01-01

Classification enhancement of breast cancer histopathological image using penalized logistic regression

10.11591/ijeecs.v13.i1.pp405-410
Mohammed Abdulrazaq Kahya
Classification of breast cancer histopathological images plays a significant role in computer-aided diagnosis system. Features matrix was extracted in order to classify those images and they may contain outlier values adversely that affect the classification performance. Smoothing of features matrix has been proved to be an effective way to improve the classification result via eliminating of outlier values. In this paper, an adaptive penalized logistic regression is proposed, with the aim of smoothing features and provides high classification accuracy of histopathological images, by combining the penalized logistic regression with the smoothed features matrix. Experimental results based on a publicly recent breast cancer histopathological image datasets show that the proposed method significantly outperforms penalized logistic regression in terms of classification accuracy and area under the curve. Thus, the proposed method can be useful for histopathological images classification and other classification of diseases types using DNA gene expression data in the real clinical practice.
Volume: 13
Issue: 1
Page: 405-410
Publish at: 2019-01-01

Establishment of emotional database and extraction of color psychology of children from images

10.11591/ijeecs.v13.i1.pp210-216
Seunh-Yoon Shin
In the modern society, there is a rapid increase in the need for color psychotherapy for psychological stability and environmental adaption of children for whom the interests of the parents are lacking in the midst of their busy daily schedules. Accordingly, we need to assess the emotional state of children through their drawings, etc. In this thesis, identification is made on color harmony by utilizing information of single and mixed colors in the color image space. Moreover, system for extraction of color psychology from the drawings of children is developed. First, emotional database is established on the basis of color image space. Then, enormous color values are group by clustering the images through the use of K-Means clustering. Emotions are extracted through matching with the database and child’s color psychology is examined by using color distribution chart. Empirical researches on sensibilities that are currently in progress are being pursued largely from psychological and engineering perspectives. Sensibility being understood in the area of psychology can be deemed close to being emotions. Meanwhile, sensibility understood from the engineering perspective can be defined as highly advanced psychological experiences induced in the minds of human beings from perception or cognition by external physical stimulation. This thesis demonstrated the overall excellence through experiment.
Volume: 13
Issue: 1
Page: 210-216
Publish at: 2019-01-01

Key frame extraction using hybrid algorithm of dynamic sign language

10.11591/ijeecs.v13.i1.pp186-190
Hussein Ali Aldelfy , Mahmood Hamza Al-Mufraji , Thamir R. Saeed
Video summarization used in many applications such as video object recognition and classification. Different methods used for this purpose: key frame extraction using edge detection and key frame extraction using discrete wavelet transform (DWT). In video processing, numerous frames containing similar information, this leads to time consumption and slow processing speed and complexity. New method Hybrid DWT-Edge Key Frame Detection (HDEKFD) of dynamic sign language presented in this paper. This method combined two algorithms edge detection and DWT to increase processing speed by reduce the numbers of redundant frames. Simulation results illustrate the efficient of the proposed algorithm compare to other methods. 
Volume: 13
Issue: 1
Page: 186-190
Publish at: 2019-01-01

A new design of high output voltage rectifier for rectenna system at 2.45 GHz

10.11591/ijeecs.v13.i1.pp226-234
Abdellah Taybi , A. Tajmouati , J. Zbitou , A. Errkik , M. Latrach , L. El Abdellaoui
This paper deals with the design and achievement of a novel microstrip rectifier with high conversion efficiency and output voltage. Firstly, we have designed a rectifier based on HSMS2820 Schottky diodes by using a series topology to convert the electromagnetic energy into DC power. Then, a stepped-impedance low pass filter was implemented to filter the unwanted harmonics generated by the non-linear Schottky diode. Both of the structures have been simulated and fabricated on an FR4 substrate with dielectric permittivity constant 4.4, thickness of 1.6 mm and loss tangent of 0.025. Good performances were confirmed throughout the measurement results and an interesting output voltage was observed.
Volume: 13
Issue: 1
Page: 226-234
Publish at: 2019-01-01

University course timetabling model using ant colony optimization algorithm approach

10.11591/ijeecs.v13.i1.pp72-76
Munirah Mazlan , Mokhairi Makhtar , Ahmad Firdaus Khair Ahmad Khairi , Mohamad Afendee Mohamed
Due to the increased number of students and regulations, all educational institutions have renewed their interest to appear in the number of complexity and flexibility since the resources and events are becoming more difficult to be scheduled. Timetabling is the type of problems where the events need to be organized into a number of timeslots to prevent the conflicts in using a given set of resources. Thus in the intervening decades, significant progress has been made in the course timetabling problem monitoring with meta-heuristic adjustment. In this study, ant colony optimization (ACO) algorithm approach has been developed for university course timetabling problem. ACO is believed to be a powerful solution approach for various combinatorial optimization problems. This approach is used according to the data set instances that have been collected. Its performance is presented using the appropriate algorithm. The results are arguably within the best results range from the literature. The performance assessment and results are used to determine whether they are reliable in preparing a qualifying course timetabling process.
Volume: 13
Issue: 1
Page: 72-76
Publish at: 2019-01-01
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