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Practical electrical energy production to solve the shortage in electricity in Palestine and Pay Back period

10.11591/ijece.v9i6.pp4610-4616
Ahmed S A Badawi , Nurul Fadzlin Hasbullah , Siti Yusoff , Aisha Hashim , Mohammed Elamassie
In this paper power energy had been estimated based on actual wind speed records in a coastal city in Palestine Ashdod. The main aims of this study to determine the feasibility of wind turbine and to estimate payback period. Therefore, to encourage investment in renewable energy in Palestine. The daily average wind speed data had been analyzed and fitted to the Weibull probability distribution function. The parameters of Weibull had been calculated by author using Graphical method the applied example wind turbine is 5kw wind turbine generator this is suitable turbine for small scale based on wind speed records on the coastal plain of Palestine. This study calculated the energy that can produce from wind turbine to estimate the revenue of any possible project in wind energy conversion system based on unit area. Energy has been calculated wind energy using two different method based on Weibull data and measured data. The total amount of energy for 2010 is 10749.8 kw.hr/m2 based on measured wind speed. Payback period for the project in wind energy turbines is around 3 years which make the generation electricity possible for small scale but not commercial. This study will lead to assess the wind energy production in Palestine to encourage investment in renewable energy sectors.
Volume: 9
Issue: 6
Page: 4610-4616
Publish at: 2019-12-01

Optimization of transmission signal by artificial intelligent

10.11591/ijaas.v8.i4.pp290-292
Hassan Farahan Rashag , Mohammed H. Ali
In this method, radial basis function network RBFNN is an artificial intelligent which is used to identify and classify the communication system performance.  RBFNN is one type of neural network which has activation functions. It consists of three layer input layer, hidden layer and output linear combination. One of the main problems of communication system is that it causes slow response for sending signal via the transmission devices. Therefore, the artificial intelligent by RBFNN is used to optimize the transmission signal. The input signal is trained and testing by neurons with weight and this lead to provide linear output. The simulation results have the optimization specifics over the traditional communication transmission devices.
Volume: 8
Issue: 4
Page: 290-292
Publish at: 2019-12-01

Reversible logic in pipelined low power vedic multiplier

10.11591/ijeecs.v16.i3.pp1265-1272
Ansiya Eshack , S. Krishnakumar
With an ever growing demand for low-power devices, it is a general trend to search for ways to reduce the power consumption of a system. Multipliers are an important requirement in applications linked to Digital Signal Processing, Communication Systems, Optical Computing, Nanotechnology, Low-Power Very Large Scale Integration and Quantum Computing. Conventional mathematics makes multiplication a very long and time consuming process. The use of Vedic mathematics has led to great reduction in the time required for such calculations. The excessive use of Urdhava Tiryakbhyam sutra in multiplication surely proves its effectiveness and simplicity in this domain. This sutra supports the process of pipelining, a method employed in reduction of the power used by a system. Reversible logic has been gaining demand due to its low-power capabilities and is currently being used in many computing applications. The paper proposes two multiplier systems: one design employs the Urdhava Tiryakbhyam sutra along with pipelining and the second uses reversible logic gates into the first design. These proposed systems provide very less delay for result computation and low hardware utilization when compared to non-pipelined Vedic multipliers.
Volume: 16
Issue: 3
Page: 1265-1272
Publish at: 2019-12-01

Study of automatic generation control in two area power system with DFIG-based wind energy conversion

10.11591/ijpeds.v10.i4.pp2118-2125
Soumia Kail , Abdelkader Bekri , Abdeldjebar Hazzab
The main objective of Automatic Generation Control (AGC) is to keep the frequency within specified limits through primary and secondary control. In this study, a model of two area thermal non-reheat power system with integration of Doubly Fed Induction Generator (DFIG) based Wind Energy Conversion (WEC) into both areas is presented. A Proportional Integral Derivative (PID) controller and a Fuzzy Logic Controller (FLC) have been applied and compared. The Proposed controllers are used to improve the dynamic response as well as to reduce or eliminate the steady-state error in Area Control Error (ACE). FLC has been offered better and faster performance over the PID controller. The results obtained prove the impact of DFIG-based WEC on AGC and confirm the participation of the DFIG in the frequency system.
Volume: 10
Issue: 4
Page: 2118-2125
Publish at: 2019-12-01

Evaluation of shale volume and effective porosity using larionov and archie equations from wire-line logs, Niger delta Nigeria

10.11591/ijaas.v8.i4.pp257-263
Mfoniso U. Aka , Johnson Cletus Ibuot , Francisca N. Okeke
In Niger Delta region of Nigeria, reservoirs are mostly loose and unstratified sands to hold fluids. In this paper, three different wells in central Niger Delta were assessed for shale volume and actual porosity. The results of the analysis delineate the presence of sand, sand-shale and shale formations. Hydrocarbon prospecting was found to be strong in sand, moderate in sandshale and shallow in shale respectively. However, existent of shale lessens effective porosity and water saturation of the rock formations. The extent of the formation extends from 1300 to 2500 m. Shale volume and actual porosity values extend from 0.00 to 0.302 dec and 0.047 to 0.302 dec which decrease with increasing depth. Comparably, the water saturation and water resistivity extend from 0.432 to 0.779 dec and 0.106 to 2.918 Ohm respectively. These values of actual porosity are strong in sand, moderate in sand-shale and shallow in shale formations. The results from this assessment proof well log a vital and easier tool in assessing of reservoir properties.
Volume: 8
Issue: 4
Page: 257-263
Publish at: 2019-12-01

Intelligent credit scoring system using knowledge management

10.11591/ijai.v8.i4.pp391-398
Bazzi Mehdi , Chamlal Hasna , El Kharroubi Ahmed , Ouaderhman Tayeb
Promoting entrepreneurship among Moroccan young people has been challenged by a plethora of economic and social problems in the aftermath of the Arab Spring. Several government programs have been set up for young entrepreneurs. Thus, faced with the large number of credit applications solicited by these young entrepreneurs, banks resorted to artificial intelligence techniques. In this respect, this article aims at proposing a decision-making system enabling the bank to automate its credit granting process. It is a tool that allows the bank, in the first instance, to select promising projects through a scoring approach adapted to this segment of entrepreneurs. In the second step, the tool allows the setting of the maximum credit amount to be allocated to the selected project. Finally, based on the knowledge of the bank’s experts, the tool proposes a breakdown of the amount granted by the bank into several products adapted to the needs of the entrepreneur.
Volume: 8
Issue: 4
Page: 391-398
Publish at: 2019-12-01

Speed performance evaluation of BLDC motor based on dynamic wavelet neural network and PSO algorithm

10.11591/ijpeds.v10.i4.pp1742-1750
Adel Ahmed Obed , Ameer Lateef Saleh , Abbas Kareem Kadhim
In this paper, several methods are developed to control the brushless DC (BLDC) motor speed. Since it is difficult to get a good showing by utilizing classical PID controller, the Dynamic Wavelet Neural Network (DWNN) is the proposed work in this paper, with parallel PID controller to obtain an novel controller named DWNN-PID controller. It collects the artificial neural ability of its networks for imparting from motor of BLDC with drive system and the ability of identification for the wavelet decomposition and control of the dynamic system furthermore to have ability for adapting and self-learning.  The suggested controller method is utilizing to control the speed of BLDC motor of which supply a better showing than utilizing classical controllers with a wide range of control. The proposed controller parameters are matched continuously using Particle Swarm Optimization (PSO) algorithm. The simulation results based on proposed DWNN-PID controller demonstrate a superior in the stability and performance compared at utilizing classical WNN-PID and conventional PID controllers. The simulation results are accomplished using Matlab/Simulink. It shows that the proposed control scheme has a superior performance.
Volume: 10
Issue: 4
Page: 1742-1750
Publish at: 2019-12-01

A novel key exchange algorithm for security in internet of things

10.11591/ijeecs.v16.i3.pp1515-1520
Suresh Koduru , PVGD Prasad Reddy , Padala Preethi
Today Internet of things (IoT) interconnects any object possessing sensing and computing capabilities to the internet. In this era, increasing number of electronic devices and applications in Internet of Things (IoT) requires secured communication with low power consumption capabilities. As security is a major challenge in internet of things, it is important to design a key management solution that considers resource constrained nodes and hence key management in public key cryptography is a crucial issue. In this paper, a novel key exchange algorithm was developed and implemented on a low powered “Raspberry pi machine” to realize the overall impact it creates on the device. The performance of the proposed algorithm had shown a great improvement over the popular Diffie Hellman key exchange algorithm and a two-level security for data exchange between the parties is implemented.
Volume: 16
Issue: 3
Page: 1515-1520
Publish at: 2019-12-01

A smart cascaded H-bridge multilevel inverter with an optimized modulation techniques increasing the quality and reducing harmonics

10.11591/ijpeds.v10.i4.pp1852-1862
Youssef Babkrani , Ahmed Naddami , Mohamed Hilal
The world community relied heavily on fossils energies but just after the big oil crisis the use of renewable energy has greatly increased and has become the main interest of many countries for its many advantages such as: minimal impact on the environment, renewable generators requiring less maintenance than traditional ones and it has also a great impact on economy. It is easy to get charmed by the advantages of using the renewable resources but we must also be aware of their disadvantages. One of the major disadvantages is that the renewable energy resources are intermittent and thus they have led scientists to develop new semiconductor power converters among which are the multilevel inverter. In this paper a new smart multi-level inverter is proposed so as to increase its levels according to the user’s needs and also to avoid the impact of shades and the intermittence on photovoltaic panels. We also propose a modification on the multicarrier aiming to reduce the harmonics. This modification introduces a sinusoidal wave compared with trapezoidal multi-carrier to generate the pulses. In order to obtain the line voltages and the total harmonic distortions (THD) MATLAB/SIMULINK is used.
Volume: 10
Issue: 4
Page: 1852-1862
Publish at: 2019-12-01

Conceptual model for the integration of personal attribute skills in electrical technology education curriculum

10.11591/ijere.v8i4.20301
Dahiru Sale Mohammed , Sarimah Ismail
The current curriculum of Electrical Technology Education (ETE) of Nigerian Universities has been criticized for not meeting the desired challenges. The personal attribute skills were found are not integrated in the curriculum. Hence, a study was conducted to determine the types of personal attribute skills, their respective indicators and to develop a conceptual model for the integration of personal attribute skills for ETE curriculum. Mixed methods exploratory research design was employed for the study. 10 industry technical managers were interviewed and the interview data were analyzed using coding process of open coding, axial coding and selective coding. The interview data were used to develop a structured questionnaire that validated by 4 experts. Alpha value for pilot test was 0.89. Sample of the survey were 646 including 528 ETE graduates, 22 ETE lecturers and 96 industry technical managers. Stepwise Linear Regression and Confirmatory Factor Analysis were used to analyze the survey. The study developed a conceptual model for the integration of personal attribute skills that consists of two major skills: attitude skills and trait skills. This study recommended the implementation of the conceptual model for the integration of employability skills in ETE curriculum.
Volume: 8
Issue: 4
Page: 705-712
Publish at: 2019-12-01

D-STATCON model for voltage sag mitigation

10.11591/ijpeds.v10.i4.pp2214-2221
Hendri Masdi , Rini Nur Hasanah , Hadi Suyono , Ismail Bin Musirin , Taufik Taufik
Development of a FACTS device model for mitigating voltage sag is presented. It deals with a static synchronous condenser (STATCON) to be used in the AC distribution networks. Simulation with the help of a commercial software Matlab/Simulink was explored to investigate its characteristics and performance during the voltage sag occurrence. The considered main cause of voltage sag was the starting of high capacity asynchronous motor. A voltage source inverter based on the phase-controlled thyristor components was implemented in this application to compensate the change in reactive power of the system. The concerns have been put on the influence of initial operation point and DC capacitance. The study results show the capability of D-STATCON model to reduce the consequence of voltage sag following the starting of high-power asynchronous motor in the distribution network. A fast response of the condenser work confirmed the desired performance.
Volume: 10
Issue: 4
Page: 2214-2221
Publish at: 2019-12-01

Implementation flow control to improve quality of service on computer networks

10.11591/ijeecs.v16.i3.pp1474-1481
Ahmad Khafidin , Tatyantoro Andrasto , Suryono Suryono
Quality of Service (QoS) is the collective effect of service performances, which determine the degree of satisfaction of a user of the service. In addition, QoS defined as the ability of a network to provide good service. QoS aims to provide different quality of services for various needs in the IP network. QoS parameters that can be used to analyze the data communication services are jitter, packet loss, throughput, and delay. The quality of QoS parameters in the network is affected by congestion. Congestion occurs because there is an excessive queue in the network. Congestion can be prevented by implementing flow control on network. Flow control is a method to control the data packet flow in a network. By controlling of the data packet flow, it can improve of QoS. This study intends to find out value of QoS on the internet network at Faculty Engineering, State University of Semarang by measuring network performance using QoS parameters. Then, in this research will be implemented the token bucket method as a flow control mechanism at the network to improve the QoS. After research and data analysis, internet network at Faculty Engineering State University of Semarang has QoS value was 3,5 with 87,5 % of percentage and classified in satisfying of category. When measuring the network performance, there are decreases of performance at access point that having data rates 150 Mbps with many users connected. It has 9,0 ms of delay value, 0.046 ms of jitter, 16,6% of packet loss and, 1293407 bps of throughput. After token bucket was applied as flow control mechanism that be simulated on Graphical Network Simulator 3, the internet network has QoS values 3,75 with 93,75 % of percentage and classified as “satisfying” category. Furthermore, the percentage of the throughput value obtained on network by implementing flow control is 62%, while on the existing network is 41%.
Volume: 16
Issue: 3
Page: 1474-1481
Publish at: 2019-12-01

Annealing strategy for an enhance rule pruning technique in ACO-Based rule classification

10.11591/ijeecs.v16.i3.pp1499-1507
Hayder Naser Khraibet AL-Behadili , Ku Ruhana Ku-Mahamud , Rafid Sagban
Ant colony optimization (ACO) was successfully applied to data mining classification task through ant-mining algorithms. Exploration and exploitation are search strategies that guide the learning process of a classification model and generate a list of rules. Exploitation refers to the process of intensifying the search for neighbors in good regions, whereas exploration aims towards new promising regions during a search process. The existing balance between exploration and exploitation in the rule construction procedure is limited to the roulette wheel selection mechanism, which complicates rule generation. Thus, low-coverage complex rules with irrelevant terms will be generated. This work proposes an enhancement rule pruning procedure for the ACO algorithm that can be used in rule-based classification. This procedure, called the annealing strategy, is an improvement of ant-mining algorithms in the rule construction procedure. Presented as a pre-pruning technique, the annealing strategy deals first with irrelevant terms before creating a complete rule through an annealing schedule. The proposed improvement was tested through benchmarking experiments, and results were compared with those of four of the most related ant-mining algorithms, namely, Ant-Miner, CAnt-Miner, TACO-Miner, and Ant-Miner with hybrid pruner. Results display that our proposed technique achieves better performance in terms of classification accuracy, model size, and computational time. The proposed annealing schedule can be used in other ACO variants for different applications to improve classification accuracy.
Volume: 16
Issue: 3
Page: 1499-1507
Publish at: 2019-12-01

Dead time influence on operating modes of transistor resonant inverter with pulse frequency modulation (PFM)

10.11591/ijpeds.v10.i4.pp1815-1822
Mihail hristov Antchev , Hristo mihailov Antchev
This study explores the impact of dead-time on the transistor resonant inverter operating modes depending on the ratio of the transistor switching frequency and the resonant frequency of the series-resonance circuit in the diagonal of the transistor bridge. On the basis of theoretical data and experimental results, a dead-time limitation relation has been offered - besides for a minimum value but for a maximum value. This provides extension of the operating mode range in zero voltage switching (ZVS).
Volume: 10
Issue: 4
Page: 1815-1822
Publish at: 2019-12-01

A fuzzy logic controller based brushless DC motor using PFC cuk converter

10.11591/ijpeds.v10.i4.pp1894-1905
Sanatan Kumar , Debanjan Roy , Madhu Singh
This paper presents a PFC (Power Factor Correction) Cuk converter fed BLDC (Brushless DC) motor drive and the speed of BLDC motor is controlled using fuzzy logic implementation. The PFC converters are employed to enhance the power quality. The Brushless DC motor speed is under the control of DC-bus voltage of VSI-Voltage Source Inverter in which switching of low frequency is used. This helps in the electronic commutation of BLDC motors thus decreasing the switching losses in VSI. A DBR (Diode Bridge Rectifier) next to the PFC Cuk converter controls the voltage at DC link maintaining unity power factor. The characteristics of Cuk converter in four dissimilar modes of operation are studied such as continuous and discontinuous conduction modes (CCM and DCM) respectively. The entire system is simulated using Matlab/Simulink software and the simulation results are reported to verify the performance investigation of the proposed system.
Volume: 10
Issue: 4
Page: 1894-1905
Publish at: 2019-12-01
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