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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 103 Documents
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Search results for , issue "Vol 12, No 3: March 2014" : 103 Documents clear
Architecture and Task Scheduling of Video Streaming on Multi-core Platform Jun Li; Hong Ni; Lingfang Wang; Jun Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Compared with traditional video streaming server, streaming on multi-core platform has many advantages: flexible and configurable on the number of executing core according to system requirements; fault-tolerant; and  fitting well to future process technologies, more cores will be available in advanced process technologies, meanwhile the complexity per core does not increase. In this paper, we focused on the video streaming issues on multi-core processor, including architecture and task scheduling. We proposed a pipeline-parallel hybrid multi-core architecture and service migration based task scheduling strategy on multi-core processor to improve the efficiency of video streaming and increase the number of concurrence. We implemented the task scheduling algorithm with proposed architecture, and provided evidences of 48% outperformance based on Cavium OCTEON CN5860 multi-core processor than full parallel architecture, meanwhile, request success rate higher than REM algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4491 
Application of L-series of Formation in Fuzzy Pattern Recognition Jinhong Li; Kangpei Zhao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the model base and objects to be identified are classed as information granules by the information granulation idea. A proper system of polar coordinates is established. The fuzzy pattern recognition problem is studied by the L-series of formation in the abstract analytic number theory. A method is given to evaluate the model base type of the information granules, which consist of massive data. Additionally，it is used to analyze the relation between process parameters and weld appearance in the welding process.  At the same time, the relations between weld appearance and process parameters are studies by the rough set and the disposal of data discretization based on attribute-priority algorithm. The results with these two methods are coincident. The method proposed in this paper is proved to be true. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4521
Design of Asynchronous Motor Soft Starting and Saving Energy Control Based on PLC Xing-ping LIU
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

For Asynchronous motor starting current impact is large, efficiency of running at light load is low. An energy-saving controller was designed with the PLC (Programmable Controller) as the core. It could realize the soft start and the energy saving control of motor when motor light run. The experimental results showed that: the energy-saving controller had the characteristics of stable starting, flexible parameter adjustment, energy saving effect obviously when motor light run DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4540
A novel Quaternion-based 2D-3D Registration Algorithm with Line Correspondence Xinghang Zhang; Yuhang He
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Image’s registration includes 2D-2D, 3D-3D and 3D-2D registration. This paper only concentrates on the 2D-3D registration, the image’s attitude is represented by a rotation matrix R, while the position is a translation vector T. Traditional approaches mainly focus on points correspondences, and state-of-the-art approaches concentrate on high-order structures, i.e. lines, rectangle, parallelepiped etc. Mathematically, Most existing solutions adapt either linear optimization or iteration methods.  However, they need the position, attitude initialization, which are not always available in real scene, and they do not guarantee to find global solutions.In this paper, instead of solving these polynomials directly, we introduce a novel approach ( say qLR ), which treat these multivariate polynomial equations as “monomials” and express R in a quaternion vision, resulting in dramatic decrement of the number of equations. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4465
Research on the BP neural Network of Bus Unsafe Driving Behavior Xiang Huaikun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The security issue of urban bus is increasingly prominent in our country. Promoting scientific and reasonable unsafe driving events record system is an effective way to improve the level of public transport safety management. At the same time, the reasonable record system contribute to make the correct bus driving behavior, and it is also can reduce the loss of public traffic resources. At first, this paper puts forward using tri-axial acceleration sensor to collect the data of the car. Then classifying of bus driving behavior, setting up a series of driving behavior model, including the brake model, throttle model, a sharp turn model, according to the driving behavior model of data processing, and further by BP neural network to establish a BP neural network to effectively supervise bus driver's driving behavior. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4657
Evaluation of Vibration Effects of Massage Machines on Muscles Fatigue Zhongliang Yang; Yumiao Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Automated massage machines have been widely used in family for the past few years, but there was limit scientific evidence to support for them positive effects. This paper aims to evaluate the massage effects on recovery of muscle fatigue and explore the optimal massage machine design parameters. Two subjects participated in prone bridge exercises to make the erector spinae muscles fatigue before and after massage at six levels of speed. The surface electromyography (sEMG) signals were recorded from erector spinae muscles only during PB exercises. The vibration velocity of beat massage and subjective massage comfort (SMC) were measured at six massage speed. Based on the test data, empirical models were established between vibration velocity, sEMG and SMC. Results indicated that vibration velocity of beat massage had a significant impact on sEMG and SMC. This represents the positive effects of the massage machine on recovery of post-exercise local muscles fatigue. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4486  
Prediction of Rural Energy Consumption Based on the Gray Theory in Hebei Province Cui He-rui; Zhang Peng-yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Rural energy is the cornerstone of the development of economy, as a major agricultural province, the scientific prediction on rural energy consumption is particularly important in Hebei Province. In this paper, the GM(1,1) model of the grey theory was used to predict the rural energy consumption as well as the proportion of total energy consumption ratio of Hebei Province, in 2015 the rural energy consumption would reach 833.18 million tons of standard coal, the total energy consumption ratio would reach 28.39%, and the relative error and posterior test are all qualified. Finally, It can provide a scientific basis for the development of energy strategy planning of Hebei Province, and put forward policy recommendations. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4516
Storage Capacity Configuration to Improve Prediction Accuracy of Photovoltaic Output Jian chun Luo; Qin Chao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The short-term prediction accuracy of Photovoltaic(PV) output may not meet power scheduling requirements, the combined use of photovoltaic generator and energy storage device can improve the prediction accuracy. Storage capacity configuration is an important issue for the economy of PV plant and PV prediction accuracy.In this paper, the distribution character of PV prediction error is analyzed based on the probability density function evolution method. A storage capacity configuration model is built to consider economic prediction accuracy and capacity .A storage device controlling strategy was bulit.Last, a tracking - economic factor is defined which can be used for economic evaluation of the energy storage device. An example is shown that PV prediction error is in normal distribution and the proposed method can improve the prediction accuracy of PV output while increasing the level of economic use of energy storage devices. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.3838
Equipment Fault Prognosis Based on Temporal Association Rules Chao GAN; Yuan LU; Ying HU; Jia GU; Xin QIU
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Equipment fault prognosis is important for reliability, operational safety, and efficient performance of equipment. Temporal fault data model is built according to the principles of the Apriori traditional association rules algorithm based on the characteristics of fault data. An Improved Apriori algorithm and frequent temporal association rules algorithm are proposed in this study by converting fault data to temporal item sets matrix. Equipment fault trends are predicted by mining the frequent temporal association rules of fault data based on the algorithm, which provides good support for equipment maintenance and management. At last an example is given to prove the feasibility and practical application of proposed algorithms DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4563
Research on Short-term Traffic Forecast Algorithm based on Cloud Model Xiang Huaikun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Short-term traffic flow is difficult to predict because of high uncertainty. This paper proposes a short-term traffic forecast algorithm based on cloud similarity. By taking advantage of quantitative and qualitative cloud model mutual conversion function and traffic flow predictability, the historical traffic data can be processed with cloud transformation. Set the current traffic cloud as a standard, traverse the historical traffic cloud to find the best traffic flow period which is with best similarities to the current traffic clouds. Set the future short-term traffic flow of this very period of time as the prediction result of the current period of time. Experiments show that the average prediction error was 3.25 (vehicles) and the prediction error distribution probability was 0.29. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4655

Page 9 of 11 | Total Record : 103

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