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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
Load Balancing Based on the Specific Offset of Handover Liu Zhanjun; Ma Qichao; Ren Cong; Chen Qianbin
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.pp6281-6290

Abstract

Load Balancing technology in mobile wireless communication networks has been discussed largely. The current Load balancing algorithms have mainly adjusted the handover parameters without considering the inherent relationship of the handover parameters. In the paper, by considering the internal relationship of specific offset of handover, the constraint of the specific offser of handover was simplified, so the process of mobility load balancing algorithm was improved. With the improved mobile load balancing algorithm, the number of handover parameters was reduced and the signal process was simplified. Simulation results showed that the congestion rate  was reduced, the resource utilization rate was  improved and the Qos was improved.
A Brief Analysis into E-commence Website Mode of the Domestic Luxury Lu Lian
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.pp6417-6422

Abstract

with the current prosperity of the luxury market, this paper focuses on e-commence market situation of China’s luxury, disintegrates all the parts during the process of the luxury’s e-commence online shopping, analyzes the three targets and three links of the current e-commence websites at the material level and finds out its appearing relevant problems. This paper also delves deeper and puts forward the online shopping mode at the spiritual level in order to bring some benefit to Chinese e-commence businesses.
Analysis of T-Source Inverter with PWM Technique for High Voltage Gain Application K. Eswari; R. Dhanya
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.pp5709-5719

Abstract

This  paper  deals  with  Analysis of T-Source inverter with PWM Technique for high voltage gain application. The T-source impedance network is newly introduced to overcome the problems of  Z-source inverter. This T-source inverter is similar to Z-source inverter except the use of high frequency low leakage inductance transformer. It has low reactive components in compare with conventional ZSI. This T-source inverter has an ability to perform dc to ac  power conversion and it provides buck -boost operation in a single stage. The traditional inverters cannot provide such feature. Operating principle of T-source inverter is almost same as that of ZSI. All traditional PWM methods can be used to control T-source inverter. The utilization of shoot-through switching state is enhanced in T-source inverter which helps in the unique usage of buck-boost feature to the inverter. It is recommended that to maintain the constant voltage in the input side to get the appropriate output voltage.
Case Study of line loss Reduction in TNEB Power Grid S. Sambath; P. Palanivel; C. Subramani; S.P.K. Babu; J. Arputhavijayaselvi
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.pp5847-5853

Abstract

Unbundling of Electricity Boards in India into small units (corporations) have created opportunities for involvement of independent power generation companies. Remarkable achievements and improvements are expected in power quality especially in the southern part of the country where more power shortage, power quality low and serious power losses along the transmission and distribution lines of the power system. The power system utilities are increasing every day, to enhance the distribution power quality and maintain the voltage stability is a challenging task in the complex distribution. This can be achieved through the Distributed Generation (DG). DGs are the final link between the high voltage transmission and the consumers. This will effectively improve the active power loss reduction. This paper represents the technique to enhance the power qualities and minimize power losses in a distribution feeder by optimizing DG model in terms of size, location and operating point of DG. The proposed technique has been developed with considering load characteristics and representing constant current model. The effectiveness of the proposed technique is tested and verified using MATLAB software on long radial distribution system in Tamil Nadu (India).
Fuzzy Neural Network for Classification Fault In Protection System Azriyenni Azriyenni; Mohd Wazir Mustafa; Naila Zareen
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.pp5969-5975

Abstract

Novel intelligent technique is a combination of fuzzy and neural network techniques that can be used to classify faults in electric power system protection. There have two problems in the protection system, which are: undesired tripping and fail to operate. Loss of power supply to relays and circuit breakers or failure in protective devices may cause failures in protection system. Construction of neural networks to explore fact to identify fault component is from control center. The objective of this paper is to develop novel concept for classification failures protection system are using Fuzzy Neural Network technique. Methodology consists of Neural Network and Fuzzy. The Neural network is also conscientious for estimating degree of membership in system components from corresponding area in classification of disorders. The input variables of neural network formed of binary numbers. Value of 1 indicates if fault occurs and value of 0 indicates no-fault occurs. Fuzzy relations will represent by fuzzy. These Fuzzy relations can be represented by fuzzy diagram consisting of three sets of node that would be considered to represent components, relays and circuit breakers.
Application of Virtual Instrument LabVIEW in Variable Frequency and Speed Motor System Haizhen Guo; Junxiao Wu
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.pp6119-6126

Abstract

The working process of the virtual instrument system: first the signal input signal system acquired by a sensor conditioning circuit, the signal conditioning circuit for amplifying, filtering, and then through the data acquisition card into the memory, then carries on the data analysis and processing of the collected data. This paper uses virtual instrument environment LabVIEW to the transmission, processing and graphic signal data acquisition system for motor experiment. The method proposed in this paper can analysis electrical parameters in different circumstances of variable frequency motor performance.
Optimized Power Allocation for Cooperative Amplify-and-Forward with Convolutional Codes N Nasaruddin; M Melinda; E Elizar
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.pp6243-6253

Abstract

Future wireless communications technology should fulfill the demands of multimedia applications, interactive internet service, high data rates and power efficiency. However, wireless channel is affected by multipath fading that can degrade the system performance. To overcome the problem, cooperative communication has been introduced to be an efficient diversity technique to combat the multipath fading, to improve capacity and the system performance, and to reduce the energy comsumption by using power allocation technique in the network. This paper proposes an optimized power allocation (OPA) for cooperative amplify-and-forward (AF) protocol with convolutional codes (CC). A computer simulation model for the proposed system is developed using Matlab programming.  Then, performance of the system is evaluated in terms of the system throughput, bit error rate and amplification coeficient for power allocation. Furthermore, the different rates of CC are also considered in the network. Simulation results show that multi-relay AF network can provide a higher throughput and lower bit error rate. Moreover, the performance of OPA system is better than that of non-OPA system. The using lower rate of CC in the OPA system provides coding gain for multi-relay cooperative AF network. Finally, the different amplification coeficients among relays give a significant improvement to optimize the system performance.
Conceptual Search Based on Semantic Relatedness 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

Traditional search engines based on syntactic search are unable to solve key issues like synonymy and polysemy. Solving these issues leads to the invention of the semantic web. The semantic search engines indeed overcome these issues. Nowadays the most important part of the data remains unstructured documents. It is consequently very time consuming to annotate such big data. Concept based retrieval systems intend to manage directly unstructured documents. Semantic relationships are their main feature to extend syntactic search. In most of the methods implemented so far, concepts are used for both indexing and searching. Words remain the smallest unit to process semantic relatedness. The differences persist in the way that concepts are represented, mapped to each other, and managed for the sake of indexing and/or searching. Our approach is based on Wikipedia concepts. Concepts are represented as an undirected graph. Their semantic relatedness are computed with a distance derived from a semantic similarity measure. The same distance is used to calculate both semantic relatedness and query matching. DOI:  http://dx.doi.org/10.11591/telkomnika.v12i8.5143 

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