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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 88 Documents
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Search results for , issue "Vol 12, No 8: August 2014" : 88 Documents clear
Valuing Semantic Similarity Abdoulahi Boubacar; Zhendong Niu
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

Abstract

Similarity is a tool widely used in various domains such as DNA sequence analysis, knowledge representation, natural language processing, data mining, information retrieval, and information flow. Computing semantic similarity between two entities is a non-trivial task. There are many ways to define semantic similarity. Some measures have been proposed combining both statistical information and lexical similarity. It is difficult for a measure that performs well in a given domain to be applied with accuracy in another domain. Similarity measure may perform better with one language than another. Word is supposed to be not only similar to itself but also to some of its synonyms in a given context and some words with common roots. Our approach is designed to perform query matching and compute semantic relatedness using word occurrences. It performs better than classical measures like TF-IDF and Cosine. Although it is not a metric, the proposed similarity measure can be used for a wide range of content analysis tasks based on semantic distance and its efficacy has been demonstrated. The measure is not corpus dependent so it can establish directly the semantic relatedness of two entities. DOI: http://dx.doi.org/10.11591/telkomnika.v12i8.6034 
Reliability Analysis of Surge Arrester Location Effect in High voltage substations Seyed Ahmad Hosseini; Mohammad Mirzaie; Taghi Barforoshi
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.pp5814-5826

Abstract

High voltage substations as pivotal sections of power network play an important role in power network because of supplying electrical energy for consumers. In recent years with increment of electricity consumption and complexity of power system, the substation stability and protection against various faults or overvoltages has been a big concern. Surge arresters as protective device has the responsibility of attenuating overvoltage due to lightning or switching occurring in transmission or distribution system. Absence or failure of arresters inside or near substations can lead to load interruption and great outage in the system. Therefore their presence is indispensable. Demonstrating the surge arresters presence necessity and evaluating their failure impact during normal operating condition and overvoltage in different scenarios of arrester location and lightning surge position in view point of EMTP simulation and reliability technique is the purpose of this paper.
Electric Field and Thermal Properties of Wet Cable: Using FEM Sushman Kumar Kanikella
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.pp5954-5962

Abstract

A Single phase medium voltage power cable (XLPE)  buried in soil and it can be used to investigate electric field, potential distribution and increased temperature of the cable insulation with rising load currents, are known to accelerate the formation of water and electric trees in cables which ultimately lead to cables failure. To determine the thermal and electrical behavior of a given wet cable installation. The work presented in this paper involves the use of COMSOL multiphysics Finite Element software to develop an integrated electrical, thermal model with 3 micro meter water bubble radius. The presence of water tree results in the reduction of their dielectric strength. Here the Finite Element simulation technique is used to 11 kV and 20 kV power cables. A model that illustrates the water-dielectric interface within the cable insulation system is proposed.
Slip Enhancement in Continuously Variable Transmission by Using Adaptive Fuzzy Logic and LQR Controller Ma Shuyuan; Sameh Bdran; Saifullah Samo; Jie Huang
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.pp6101-6110

Abstract

Enhancement of fuel consumption and transmission efficiency needs a continuous improved variator performance in continuously variable transmission (CVT). This paper focuses on the improvement of aslip controller for a hydraulically actuated metal push-belt continuously variable transmission (CVT), using model for variator dynamic in the CVT. The slip control purpose is to improve the performance of variator andto increase the efficiency of CVT by determination the line pressure which generates the clamping force. The selection of slip reference-point is taken at the transition region between the micro and macro slip region to guarantee the maximum variator efficiency. The adaptive fuzzy logic control (FLC) and Linear Quadratic Regulator (LQR) controllers are applied to control the clamping force. The proposed control systems are designed to ensure the existence of a slip values within the region, which has the traction coefficient maximum value, while the load disturbances caused by suddenly changed torques in the drive lines. These approaches have potential for the CVT efficiency improvement, as compared to PID controller. The adaptive fuzzy logic control technique uses a simple group of membership functions and rules to achieve the desired control requirements of slip in CVT. Simulation results show that satisfactory slip improvement is achieved together with good robustness against suddenly changed torques. It is further revealed that all adaptive fuzzy logic control and LQR controller have a valuable effect on minimizing the slip amount and maximize the variator efficiency.
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.
Simulink Based Multi Variable Solar Panel Modeling Chandani Sharma; Anamika Jain
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

Abstract

Solar Energy, the most abundant and widely used Renewable Energy is not only reliable, scalable but serves solution to global warming around the world. This energy is used for electricity generation using Photovoltaics (PV) converting Solar Energy into electricity. Photovoltaics (PV) play significant role for future Distributed and Renewable Energy Generation Systems (DG). This study is an effort to visualize simulation tool for solar cell array under rapidly changing solar radiation and temperature by inserting a test signal in the control input. The main objective is to find the parameters of the nonlinear I-V and P-V equation by locating the curve at three points: short circuit current, open circuit voltage and maximum power. Future Smart Grids can be optimized if computerized and designed using mathematical modeling and simulation system at STC. Case study relative to factors including weather and seasonal variations is tested through SIMULINK model. Predicted changes are configured for determination of MPP. The proposed model is based on variations by changing absorption of light with physical inspections for data corresponding to low and high temperatures. DOI: http://dx.doi.org/10.11591/telkomnika.v12i8.6071
Study on the Influence of Grid Voltage Quality Guiping Yi; Renjie Hu
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.pp5918-5925

Abstract

Industrial Static Var Generator (SVG) is typically applied at or near the load center to mitigate voltage fluctuation, flicker, phase unbalance, non-sine distortion or other load-related disturbance. Special attention is paid to the influence of grid voltage quality on SVG current, the non-sine distortion and unbalance of grid voltage causes not only the AC current distortion and unbalance but also the DC voltage fluctuation. In order to let the inverter voltage contain the fundamental negative sequence and harmonic component corresponding to the grid voltage, a new dual-loop control scheme is proposed to suppress the influence in this paper. The harmonic and negative sequence voltage decomposition algorithm and DC voltage control are also introduced. All these analyses can guide the practical applications. The simulation results verify the feasibility and effectiveness of the present control strategy and analyses.
Three-Stage Amplifier Adopting Dual-Miller with Nulling-Resistor and Dual-Feedforward Techniques Zhou Qianneng; Li Qi; Li Chen; Lin Jinzhao; Li Hongjuan; Li Yunsong; Pang Yu; Li Guoquan; Cai Xuemei
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.pp6055-6062

Abstract

A high-gain wide-bandwidth three-stage amplifier, which employs dual-miller compensation with nulling-resistor and dual-feedforward compensation (DMCNR-DFC), is designed and analyzed in this paper. By adopting the technique of DMCNR-DFC, the designed three-stage amplifier achieves well performance including gain-bandwidth product (GBW) and slew rate (SR). The improved DMCNR-DFC three-stage amplifier is designed and simulated in 0.5μm BCD process. Simulation results show that DMCNR-DFC three-stage amplifier achieves a dc gain of about 121.1dB and GBW of about 6.1MHz with 52º phase margin using a 5-V power supply voltage.
Gear Fault Diagnosis and Classification Based on Fisher Discriminant Analysis Haiping Li; Jianmin Zhao; Xinghui Zhang; Hongzhi Teng; Ruifeng Yang
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.pp6198-6204

Abstract

Gears are the most essential parts in rotating machinery. So gear fault modes diagnosis and levels classification are very important in engineering practice. This paper present a novel method in gear fault recognition and identification using Fisher discriminant analysis (FDA) due to FDA can reduct dimension when analyse signal. The real data collected from a gearbox test rig is used to validate the method this paper proposed. And the effectiveness of the methodology was demonstrated by the results obtained from the analysis. Three kinds of fault modes and levels were identified. And energy was selected as feature parameter. The fault modes (normal, breaktooth and crack) were diagnosed at first, then the fault levels of breaktooth and crack are classified. The accurate rate of the method is approximate 89%.
The Intelligent Control System of the Freezing Station in Coal Mine Freezing Shaft Sinking Xiaoliang Zheng; Yelin Hu; Zhaoquan Chen
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.pp5743-5750

Abstract

In order to address the issue of low degree of automation and huge waste of electric energy of the equipment in drilling engineering freezing station which adopts the freezing method of coal mine, we need to design an intelligent control system to control both the brine pump and double stage ammonia screw compressor. According to the actual cooling need in freezing project, this new system is able to adjust the working condition of the equipment so as to optimize the supply as needed. Also, the temperature and flow of the brine are controlled by fuzzy decoupling controller, and variable frequency controller is adopted in the brine pump to change the motor drive speed and finally adjust the flow of the brine appropriately, besides, the reasonable start-stop unit is used in the compressor to control the temperature of the brine. It has turned out that this intelligent control system features a better control performance, and thus has increased the automation level and prolonged the using life of the whole system as well as saved a large amount of electric energy and decreased the electricity cost of construction enterprises. 

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