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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,226 Documents
Evaluation of Standard Reference Environment for Photovoltaic Nominal Operating Cell Temperature Testing in Malaysia M. M. M. Hanifah; H. Zainuddin; M. Z. Hussin
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 1: October 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i1.pp245-252

Abstract

This paper presents six months evaluation in determining Standard Reference Environment (SRE) for Photovoltaic (PV) Nominal Operating Cell Temperature (NOCT) testing of IEC61215 and IEC61646 that suits Malaysian climate. The SRE is established based on the median environmental conditions in Malaysia when solar PV is producing power. The site of the study is located at the Energy and Environment Field Lab, Universiti Teknologi MARA (UiTM) Shah Alam(3.066239ºN, 101.491685ºE). Three types of PV module technologies involved are monocrystalline, polycrystalline and copper indium diselenide (CIS) thin film. The experimental setup is a test bed that meets the IEC61215, IEC61646 and IEC61724 requirements. The measurements of        module temperature (MT) and open circuit voltage (VOC) are taken simultaneously for the three PV module technologies together with other ambient parameters of solar irradiance(SI), ambient temperature(AT), relative humidity(RH), wind speed (Ws) and wind direction(Wd). The data set is taken for a six months period from February 2017 to July 2017. Based on the results obtained, a new proposed SRE of NOCT testing for IEC61215 and IEC61646 has been established to suit Malaysian climate. The SI and AT values for the SRE are 300W/m2 and 31°C respectively.
Design and development of PWM switching for 5-level multiphase interleaved DC/DC boost converter using FPGA A. F. H. A. Gani; A. A. Bakar; A. Ponniran; M. Hussainar; M. A. N. Amran
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp131-140

Abstract

The continuously increasing demand for control on electric power equipment has led to the rapid technological development in various applications such as renewable energy, electric drives, and communication. Pulse Width Modulation (PWM) switching is an important technique to control the output voltage. PWM signals can either be generated using digital controller or analog controller. Digital controllers are widely used to generate PWM signals due to their reliability in solving complex algorithms within short amount of time. Multiphase boost converter is capable to overcome high input current ripple, current stress and semiconductor losses in conventional boost converter. This paper proposes a PWM switching scheme for multiphase interleaved converter using Field Programmable Gate Array (FPGA). The proposed switching scheme uses PWM switching technique that is implemented by programming Altera DE2-70 board. The duty cycle can be easily adjusted using assigned switches on the Altera board. For validation, switching frequency was set to 100 kHz, and then switching signal was observed using oscilloscope.
Cliques-based Data Smoothing Approach for Solving Data Sparsity in Collaborative Filtering Yujie Yang; zhijun Zhang; Xintao Duan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6324-6331

Abstract

Collaborative filtering (CF), as a personalized recommending technology, has been widely used in e-commerce and other many personalized recommender areas. However, it suffers from some problems, such as cold start problem, data sparsity and scalability, which reduce the recommendation accuracy and user experience. This paper aims to solve the data sparsity in CF. In the paper, cliques-based data smoothing approach is proposed to alleviate the data sparsity problem. First, users and items are divided into many cliques according to social network analysis (SNA) theory. Then, data smoothing proceeding is carried out to fill the missing ratings in user-item rating matrix based on the user and item cliques. Finally, the traditional user-based nearest neighbor recommendation algorithm is used to recommend items for users. The experiments show that the proposed approach can effectively improve the accuracy and performance on sparse data.
The Optimization of Lateral Control Augmentation Based on Genetic Algorithms Liu Xiaoxiong; Wang Juan; Wu Yan; Liu Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The control augmentation systems are very important to keep the stability and manipulability in the flight control systems. The general flight control laws are designed by static designs and dynamic fits. To improve the adaptive capability, a new method of control laws design was introduced by using dynamic optimization genetic algorithms. The control parameters were adjusted online in the flight envelope. The dynamic optimization model was built for aircraft lateral control augmentation function. The control parameters were regulated by dynamic optimization genetic algorithms. Finally an example of a lateral flight control augmentation system of an aircraft is used with a simulation. The simulation results show the proposed method is achievement. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2601
A Joint Synchronization and Channel Estimation Algorithm for MIMO-OFDM System JingPeng Gao; DanFeng Zhao; ChaoQun Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

As conventional methods deal with channel estimation and synchronization separately, they can’t achieve the best performances because the unknown parameters will interfere with each other. Besides, the convergence speed is slow using expectation maximization algorithm. Thus in this paper, we propose a joint synchronization and channel estimation method in MIMO-OFDM systems. The algorithm achieves coarse estimation by using a preamble. Then by combining this algorithm with SAGE algorithm and using joint iteration technology, time-frequency synchronization and channel estimation is achieved. Consequently, the performance of the system is enhanced. Theoretical researches and simulation results show that the algorithm can obtain relatively perfect result of time-frequency synchronization and channel estimation with fewer iterative times. Meanwhile our algorithm can approach the ideal case of perfect channel estimation and synchronization with lower complexity. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3679
M[x]/G/1 Multistage Queue with Stand-by Server During Main Server’s Interruptions Yuvarani Chandrasekaran; Vijayalakshmi C
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp275-283

Abstract

This paper investigates a multistage batch arrival queue with different server interruptions and a second server replaces the main server during the interruptions. The different server interruptions are assumed to be: multiple vacation, extended vacation, breakdown with delay time and server under two phases of repair. Customers are assumed to arrive in batches according to Poisson process and a single server provides service to the customers. When the main server is inactive due to the interruptions, stand-by server provide service to the arrivals. In addition, customers may renege during server breakdown or during server vacation due to impatience. Transient solution and the corresponding steady state solution is derived using supplementary variable technique.
Effect of Shorting Wall on Compact 2×4 MSA Array Using Artificial Neural Network Mohammad Aneesh; Jamshed Aslam Ansari; Ashish Singh; Km. Kamakshi
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, a compact 2×4 microstrip antenna (MSA) array is presented and the effect of inserting shorting wall is optimized with the help of artificial neural network (ANN). An ANN model has been developed for predicting the resonant frequencies with the variation of the height of substrate and shorting wall position. For validation of ANN output, a prototype of 2×4 MSA array is physically fabricated and tested. This validation verifies the proposed antenna for which simulated and ANN results are approximately similar. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7089
Acceptance of mobile payments by retailers using UTAUT model Nor Hapiza Mohd Ariffin; Fauziah Ahmad; Umar Mohd Haneef
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp149-155

Abstract

Mobile payment is a form of payment transaction processing where the payer utilizes mobile communication methods together with mobile devices to initiate, authorize or complete payment. Hence, with the huge increase in mobile device usage, the retail sector will be able to collect large volumes of data. Unfortunately, most Malaysians still do not make full use of digital payments or cashless payments. Consumers in South East Asia still tend to use money or bank cards, and companies have been "limitedly effective" in encouraging a cashless revolution. The objective of this study was to identify the acceptance of mobile payment by retailers, the factors that contribute to the acceptance of mobile payment and the relationship between the factors were also the aim of this research. Several factors were contributing to mobile payments such as performance expectancy, effort expectancy, social influence, facilitating conditions, habit, privacy, perceived security and intentions which was based on the UTAUT model. This study used questionnaires to collect data and the data analysis was carried out using SPSS software. Based on the analysis that has been conducted, it can be seen that all the hypotheses of this research have a significant relationship except for the relationship between privacy and intentions that has a negative linear relationship. It is hoped that this research will give values to retailers with an understanding of the contributing factors that affect their acceptance of mobile payment technology in the retailing business.
Low Leakage Circuits Design with Optimized Gate-length Biasing Yangbo Wu; Xiaohui Fan; Haiyan Ni; Jianping Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the technology process scaling, leakage power dissipation is becoming a growing number of percentage in total power dissipation. This study presents a new method in the gate-length biasing technique to achieve a cost-effective gate-length with a most benefit between leakage reduction and delay increasing. With the optimized gate-length, typical combinational and sequential circuits are realized and simulated using HSPICE with the BSIM4.6.4 predictive models at a 45nm COMS process. The results show that leakage currents of typical combinational circuits reduce more and delay increase less. Moreover, leakage currents of mirror adder and transmission gate adder decrease 13.9% and 8.90%, respectively; and leakage power of 4-bit binary counters using C2MOS D Flip-Flop and Transmission-Gate D Flip-Flop reduce 38.36% and 20.05%, with the frequency of 5M, respectively. Therefore, the optimized gate-length biasing technique is an attractive approach in low power circuits design. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4791
The Adaptive Federal Unscented Particle Filter Algorithm with Applications in All-Attitude Integrated BDS/INS Navigation System Ping Luo; Li-jie Yuan; Liang-xue Huang; Xian-fei Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to improve the attitude accuracy, the thesis establishes the all-attitude integrated BDS/INS navigation nonlinear system model based on the position, velocity, attitude by adding the BDS’s attitude measurement information into the measurement equation of the traditional BDS/INS integrated navigation nonlinear system model. Considering the problem that the dynamic navigation system model is difficult to accurately describe the complex navigation environment, the thesis improves the dynamic characteristics of the information distribution of the federal filter algorithm which could timely change based on the eigenvalues ratio of each subsystem’s error variance matrix. Then, the adaptive federal unscented particle filter (AFUPF) is proposed. The simulation shows that the proposed algorithm could effectively weaken the impact on the system accuracy of the inaccurate high-dynamic model, and improve the adaptability, the fault tolerance and the accuracy, especially the attitude accuracy. DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.8069

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