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29,734 Article Results

Game theory for resource sharing in large distributed systems

10.11591/ijece.v9i2.pp1249-1257
Sara Riahi , Azzeddine Riahi
In game theory, cooperative and non-cooperative approaches are distinguished in terms of two elements. The first refers to the player's ability to engage: in a non-cooperative context, they are entirely free to make decisions when they make their choices; However, in a cooperative context, they have the opportunity to engage contractually the strategies that should be adopted during the game, that during a phase of discussions held before the game and during combinations which may be formed.In this context, the problem is not so much to predict the outcome of the game between players to leave the benefit of cooperation. To achieve this, and this is the second major difference with the non-cooperative approach, it adopts an axiomatic approach (or normative) by which we set upstream properties a priori reasonable (or desirable) on the outcome of the game. The purpose of this paper is to present briefly the main types of non-cooperative games and the tools that allow them to be analyzed in a complete information context where all aspects of the game are well known to decision makers.
Volume: 9
Issue: 2
Page: 1249-1257
Publish at: 2019-04-01

Introducing LQR-fuzzy for a dynamic multi area LFC-DR model

10.11591/ijece.v9i2.pp861-874
Palakaluri Srividya Devi , R.Vijaya Santhi
It is well known that Load Frequency Control (LFC) model plays a vital role in electric power system design and operation. In the literature, much research works has stated on the advantages and realization of DR (Demand Response), which has proved to be an important part of the future smart grid. In an interconnected power system, if a load   demand changes randomly, both frequency and tie line power varies. LFC-DR model is tuned by standard controllers like PI, PD, PID controllers, as they have constant gains. Hence, they are incapable of acquiring desirable dynamic performance for an extensive variety of operating conditions and various load changes. This paper presents the idea of introducing a DR control loop in the traditional Multi area LFC model (called LFC -DR) using LQR- Fuzzy Logic Control. The effect of DR-CDL i.e. (Demand Response Communication Delay Latency) in the design is also considered and is linearized using Padé approximation. Simulation results shows that the addition of DR control loop with proposed controller guarantees stability of the overall closed-loop LFC-DR system which effectively improves the system dynamic performance and is superior over a classical controller at different operating scenarios.
Volume: 9
Issue: 2
Page: 861-874
Publish at: 2019-04-01

Advanced teaching-learning-based optimization algorithm for actual power loss reduction

10.11591/ijra.v9i1.pp46-50
Lenin Kanagasabai
In this work Advanced Teaching-Learning-Based Optimization algorithm (ATLBO) is proposed to solve the optimal reactive power problem. Teaching-Learning-Based Optimization (TLBO) optimization algorithm has been framed on teaching learning methodology happening in classroom. Algorithm consists of “Teacher Phase”, “Learner Phase”. In the proposed Advanced Teaching-Learning-Based Optimization algorithm non-linear inertia weighted factor is introduced into the fundamental TLBO algorithm to manage the memory rate of learners. In order to control the learner’s mutation arbitrarily during the learning procedure a non-linear mutation factor has been applied. Proposed Advanced Teaching-Learning-Based Optimization algorithm (ATLBO) has been tested in standard IEEE 14, 30 bus test systems and simulation results show the proposed algorithm reduced the real power loss effectively.
Volume: 9
Issue: 1
Page: 46-50
Publish at: 2019-03-06

Nonlinear systems identification with discontinuous nonlinearity

10.11591/ijra.v9i1.pp34-41
Mohamed Benyassi , Adil Brouri , Smail Slassi
In this paper, nonparametric nonlinear systems identification is proposed. The considered system nonlinearity is nonparametric and is of hard type. This latter can be discontinuous and noninvertible. The entire nonlinear system is structured by Hammerstein model. Furthermore, the linear dynamic block is of any order and can be nonparametric. The problem identification method is done within two stages. In the first stage, the system nonlinearity is identified using simple input signals. In the first stage, the linear dynamic block parameters are estimated using periodic signals. The proposed algorithm can be used of large class of nonlinear systems.
Volume: 9
Issue: 1
Page: 34-41
Publish at: 2019-03-06

Performance evaluation of SEPIC, Luo and ZETA converter

10.11591/ijpeds.v10.i1.pp374-380
Niranjana Siddharthan , Baskaran Balasubramanian
DC-DC converters are devices which convert direct current (DC) from one voltage level to another by changing the duty cycle of the main switches in the circuits. These converters are widely used in switched mode power supplies and it is important to supply a constant output voltage, regardless of disturbances on the input voltage. In this work, the performance of three different converters such as Single-Ended Primary-Inductance Converter (SEPIC), Luo converter and ZETA converter have been analyzed. Further, the parameters values such as ripple voltage, switching losses and efficiency of the proposed three different converters were compared with each other. Also, the simulation work has been carried out using MATLAB/SIMULINK software. From the comparison of obtained results, it is observed that the ZETA converter has high significance than the SEPIC and Luo converter.
Volume: 10
Issue: 1
Page: 374-380
Publish at: 2019-03-01

Augmented reality application for location finder guidance

10.11591/ijeecs.v13.i3.pp1237-1242
Anatun Nadrah Rosman , Noor Azah Samsudin , Azizan Ismail , Muhammad Syariff Aripin , Shamsul Kamal Ahmad Khalid
Finding directions to a specific location can be troublesome especially when we are not familiar with a new area. Conventionally, we may want to ask people around or possibly we use Global Positioning System (GPS) navigator. However, using GPS navigator may not be the best solution if the address is not entered accurately.  Therefore, this paper presents an augmented reality (AR) application for location finder guidance. Instead, a user is only required to scan the address indicated on a surface such as card or flyer using smart phone camera.The proposed application has utilized various components of AR technology including multiple image target, virtual button and markerless features. The development of the AR application follows phases of activities in Multimedia Mobile Content Development (MMCD) model. The proposed application is found to be very interactive and convenient in finding directions to specific location.
Volume: 13
Issue: 3
Page: 1237-1242
Publish at: 2019-03-01

A comparison between the secp256r1 and the koblitz secp256k1 bitcoin curves

10.11591/ijeecs.v13.i3.pp910-918
Azine Houria , Bencherif Mohamed Abdelkader , Guessoum Abderezzak
Bitcoin uses elliptic curve cryptography for its keys and signatures, but the specific secp256k1 curve used is rather unusual. The ECDSA keys used to generate Bitcoin addresses and sign transactions are derived from some specific parameters. Due to this characteristic, several questions come up concerning Satoshi’s choice of this curve rather than that of the NIST standard secp256r1 curve. Former President Dan Brown’s address to Bitcoin users on the Bitcoin talk.org online forum concerning the use of secp256k1 in Bitcoin of SECG showed his surprise to see someone uses SECG secp256k1 instead of secp256r1 of NIST.In this article, we will analyze the random secp256r1 curve and the Koblitz Secp256k1 curve (parameters, equation, automorphism…), by giving the strengths and weaknesses of each one of them, in order to justify the choice of Bitcoin’s creator, and then we will tackle the mining using the new graphic cards.
Volume: 13
Issue: 3
Page: 910-918
Publish at: 2019-03-01

Electric vehicle technology impacts on energy

10.11591/ijpeds.v10.i1.pp1-9
Wael A. Salah , Basim Alsayid , Mahmoud A. M. Albreem , Basem Abu Zneid , Mutasem Alkhasawneh , Anwar Al–Mofleh , Anees Abu Sneineh , Amir Abu Al-Aish
The CO2 emission level is becoming a serious issue worldwide. The continuous increase in gasoline price forms the essential base of development of electric vehicle (EV) drives. Moreover, economic and environmental issues relate to fabrication and operation of traditional powered vehicles. The basic considerations and development perspectives of EVs are presented in this paper. The development of an efficiently designed motor and drive satisfy the need of efficient characteristics that enable EVs to perform as part of the propulsion unit. The use of digital signal controllers compared with conventional control systems minimizes the motor’s total harmonic distortion, lowers operating temperatures, and produces high efficiency and power factor ratings. This paper addresses the view of EV technology as well its advantages over other technologies.
Volume: 10
Issue: 1
Page: 1-9
Publish at: 2019-03-01

ANFIS based hybrid solar and wave generator for distribution generation to grid connection

10.11591/ijpeds.v10.i1.pp479-485
Manohar B S , Banakara Basavaraja
With a long coastal border of about 7500 Kms, India would need an efficient option of hybrid power generation in the coastal region. Abundant availability of wave power and sunlight due to its closeness to equator makes it clear base for power generation from wave generator and the solar power. This paper develops the implementation, which combines both the wave generator and the PV array for a hybrid power delivery controlled using Adaptive Neuro Fuzzy Inference Engine (ANFIS) controller. The super capacitor is used for higher efficiency compared to batteries. It absorbs power and delivers power fast, where it is more important in wave generation as the power and voltage is not stable. The power delivery improvement in this hybrid system while different controllers like the PI and the ANFIS controller is analysed. There is a higher power delivery improvement when ANFIS controller is chosen.
Volume: 10
Issue: 1
Page: 479-485
Publish at: 2019-03-01

Fuzzy expert systems (FES) for halal food additive

10.11591/ijeecs.v13.i3.pp1073-1078
M. Zaki Zakaria , Norhana Nordin , Ariff Md Ab Malik , Shamsul J Elias , Ahmad Zambri Shahuddin
Halalan Toyyiban issues acknowledged the need of additional protection for good quality assurance food and should be applied in the food industries. All the food ingredients must be safe, hygiene and nutritious to be used by the consumers. Many chemical ingredients have been added in the food production process in enhancing the food characteristics and act as stabilizer, artificial colour, preservatives, artificial sweetener. This paper presents Halal Food Additive Using Fuzzy Expert Systems (FES) to determine the Halalan Toyyiban safety rating for food additives based on consumers’ past experienced record in allergy complication. The significant of this project is to provide the consumers with health awareness to prevent the health risk that caused by these food additives. This research focuses on 42 types of Halal food additives and 12 type symptoms of allergies that are commonly faced by the consumers.
Volume: 13
Issue: 3
Page: 1073-1078
Publish at: 2019-03-01

Comparative study of the most efficient maximum power point tracking techniques for a photovoltaic system

10.11591/ijaas.v8.i1.pp73-82
I. M. Abdel-Qawee , H. G. Hamed , Maged N. F. Nashed , Ayman Y. Yousef , Khaled M. Hasaneen
In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an important challenge which faces this system. In this paper, a comparative study between two high efficient MPPT control techniques is presented. These techniques are based on the incremental conductance (IC) method. The first technique is based on optimized PI-controller gains and the other is based on Fuzzy Logic Control (FLC). The comparison between the algorithms is investigated under different environmental conditions. The comparison criteria which are taken into consideration are: the percentage tracking factor (%TF), the tracking time, the ripple voltage in the steady-state, the dynamic response, and the complexity of implementation.
Volume: 8
Issue: 1
Page: 73-82
Publish at: 2019-03-01

A contribution to the control of voltage and power of the interconnection between two decentralized electrical grids with an optimal localization of the SVC devices in real-time

10.11591/ijpeds.v10.i1.pp170-177
Ali Abderrazak Tadjeddine , A. Chaker , M. Khiat , L. Abdelmalek , N. Khalfalah
Several problems related to the power grid in the region of Adrar, in southern Algeria, where it is not connected to the Algerian national network. This region contains many energy resources for power stations, wind and photovoltaic farms. The industrial development in this region requires a connection with the national network to rationalize renewable energy sources and allow sufficient capacity of power for the two grids. The work involved in studying the possibility of interconnection between the grid of Adrar region and the Algerian national network. Modeling, control and real-time analysis of various scenarios have been achieved. A SVC with an optimal location has controlled the improvement of the voltage of the interconnected grid.
Volume: 10
Issue: 1
Page: 170-177
Publish at: 2019-03-01

Speed control of universal motor

10.11591/ijpeds.v10.i1.pp41-47
Omar A. Imran , Wisam Najm al-din Abed , Ali N. Jbarah
Universal Motors (UM) are normally used for driving portable apparatus such as hand tool machines, vacuum cleaners and most domestic apparatus.  The importance of UM is due to its own advantages such as high starting torque, very powerful in relation to its small size, having a variable speed; and lower cost. So, this paper focus on UM speed control under variable loading conditions. A mathematical model for UM is designed. Two controllers are proposed for controlling the motor speed, output rate controller and output reset controller. Ant Colony Optimization (ACO) is proposed for tuning the controller’s parameters due to its impact on solving different optimization problems. It possesses fast convergence, minimum algorithm parameters required, lower consecution time and give optimal results without needing large number of iterations. The results are compared and discussed accurately, which show the proposed tuning technique work well and give optimal results for both controllers.
Volume: 10
Issue: 1
Page: 41-47
Publish at: 2019-03-01

Speech recognition of moroccan dialect using hidden markov models

10.11591/ijai.v8.i1.pp7-13
Bezoui Mouaz , Beni-hssane Abderrahim , Elmoutaouakkil Abdelmajid
This paper addresses the development of an Automatic Speech Recognition (ASR) system for the Moroccan Dialect. Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken in the Arab world. In fact, Moroccan Dialect is very different from the Modern Standard Arabic (MSA) because it is highly influenced by the French Language. It is observed throughout all Arab countries that standard Arabic widely written and used for official speech, news papers, public administration and school but not used in everyday conversation and dialect is widely spoken in everyday life but almost never written. we propose to use the Mel Frequency Cepstral Coefficient (MFCC) features to specify the best speaker identification system. The extracted speech features are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.
Volume: 8
Issue: 1
Page: 7-13
Publish at: 2019-03-01

Power quality enhancement by using D-FACTS systems applied to distributed generation

10.11591/ijpeds.v10.i1.pp330-341
Si Zegnoun Ahmed , Mohammed Nasser Tandjaoui , Mokhtar Djebbar , Chellali Benachaiba , B. Mazari
In the majority of the isolated areas, the diesel generator is the principal source of electric power. For these areas, the price of extension of the electrical supply network is prohibitory and the price of fuel increases radically with insulation. The continuous fall in the prices of the generators based on renewable energy and the increasing reliability of these systems led to a greater use of the sources of renewable energy for the generation of electric power in the isolated areas. The diesel generators can incorporate in a network with other sources in base of renewable energies in order to create a new network known as distributed network. More recently intermittent renewable resources such as the wind power were considered as a distributed generation which is seen as being deployed to reduce the total emissions. The distributed generation equipment sets causing electric disturbances result in destabilizing the global network as well as pollutant, for these reason, system D-FACTS comes to answer all the concern of the customers, manufacturers, suppliers and the managers of the distributed network.
Volume: 10
Issue: 1
Page: 330-341
Publish at: 2019-03-01
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