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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 105 Documents
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Search results for , issue "Vol 11, No 12: December 2013" : 105 Documents clear
The Quality Evaluation Method of Instrument Flight Procedure Design Scheme Based on Fuzzy Linguistic Assessments Chen Ken
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

The quality of Instrument Flight Procedure Design Scheme (QIFPDS) is directly related to the terminal area airspace capacity, quality, efficiency of air traffic management, and even the safety of aircraft. Hence, the evaluation of QIFPDS has great significance in real life. However, the evaluation of QIFPDS in real work is mainly done by experts through their specific knowledge and experience, which usually leads to a bias result and inevitably contains subjectivity and arbitrary defects. In this paper, a multi-attribute group decision-making method is proposed. This method makes full use of evaluation information; objectively and effectively evaluate QIFPDS. Also in this paper, a mathematical model for this method is introduced and a detailed step to solve this model is listed. At the end of this paper, an example is given to show the effectiveness and feasibility of the method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3687
Control Structure Design for Man-Function Humanoid Robot Yifeng Cui; Jun Ho Lee; Hee Jung Byun; Su Goog Shon
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

This paper presents a new humanoid robot control structure - Man-Function humanoid robot. The sensing devices worn on the human body, these devices will produce signals of joints’ change when people move. Computer of the control system receiving the signals and processing them, then issue control signals to the servos of the robot at the same time, control the robot’s behavior. For this reason, a control structure of human’s behavior to determine the robot’s behavior formed. The humanoid robot has 17 servos and two pressure sensors, the rotation of these servos’ steering gears lead to the robot’s behavior changes, and 12 servos corresponding to the human body sensing devices, other 5 servos used for the stability control of the robot combined with the pressure sensors. Based on this control structure, some pilot tests of the sensing device or servo have been done, the closed-loop position control mode has been chosen and the Kalman filter smoothing optimization method been used, the initial static walking control of the robot been realized. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3891
Dynamic Response of Flexible Wind Turbine Blade Yu-qiao Zheng; Rong-zhen ZHAO; Hong liu
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

Aiming at the non-stationary and stall flutter problems of wind turbine blade caused by transient load fluctuations, the dynamic properties of wind turbine were studied, the blade was simplify to a cantilever beam in case of the action of shear deformation and cross section rotating effect were considered in this analysis, equations of the blade were established based on D'Alemberts' principle and the principle of virtual displacement. The dynamic response of the wind turbine was solved by using the finite element method under the transient load environment. A 29.2 m rotor blade, previously reported in specialized literature, was chosen as a case study to validate dynamic behaviour predicted by a Timoshenko beam model. It is concluded that despite its simplicity, The cross-sectional shear-deformation  has great influence on  dynamic response of the blade.Dynamic model is sufficiently accurate to serve as a design tool for the recursive analyses required during design and optimization stages of wind turbines using only readily available computational tools. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3329
An Improved Moving Multi-Human Target Detection Algorithm Liang Feng-Mei; Tong Lin-Lin
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

In the detection of moving multi-human targets, the major problems existing lie in the detection speed and precision. Fortunately, the HOG feature presents a very considerable effect on the detection accuracy. However, the problem of low detecting speed caused by its large amount of calculation prevents the HOG feature from being well applied in scenes where the real-time requirements are needed. Given this problem, this paper presents a method which combines the Gaussian mixture background model and HOG feature. This method solved firstly by the Gaussian mixture background model to detect the moving foreground in the video. And then use HOG+SVM to handle the moving foreground that has been detected. As a result, the amount of computation is reduced considerably and the real-time performance of the HOG algorithm is improved greatly. Verified by the experiment, the detection accuracy of this algorithm can reach 94%. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3747
Multidimensional data mining using a K-mean algorithm based on the forest management inventory of Fujian Province, China Yanrong Guo; Baoguo Wu; Yang Liu
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

To determine relationships between stand volume and site factors in the absence of information about stand age and density, a classification pattern was established using a clustering analysis algorithm and applied to China fir in Fujian Province. The results showed that slope position, elevation, elevation and humus depth were important factors affecting the stand volumes of young/immature forests, near-mature forests, and mature/overmature forests, respectively. The K-mean algorithm could be used to evaluate the influences of site factors on stand volume under different stand age groups and density conditions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3570
An Auditory Model of Improved Adaptive ZCPA Jinping Zhang; Yungong Li; Hongqi Ni; Yanchun Zhao; Zai Yaoqiang
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

An improved ZCAP auditory model with adaptability is proposed in this paper, and the  adaptive method designed for ZCPA model is suitable for other auditory model with inner-hair-cell sub-model. The first step in the implement process of the proposed ZCPA model is to carry out the calculation of inner product between signal and complex Gammatone filters to obtain important frequency components  of signal. And then, according to  the result of the first step, the parameters of the basilar membrane sub-model and frequency box are automatically adjusted, such as the number of the basilar membrane filters, center frequency and bandwith of each basilar membrane filter, position of each frequency box, and so on. Lastly  an auditory model is built, and the final output is auditory spectrum.The results of numerical simulation and experiments have showed that the proposed model could realize accurate frequency selection, and the auditory spectrum is more distinctly than that of conventional ZCPA model. Moreover, the proposed model can completely avoided the influence of the number of filter on the shape of auditory spectrum existing in conventional ZCPA model so that the shape of auditory spectrum is steady, and the data quantity is small. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3989
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
Study on Multi-array Shaker Random Vibration Test Control Gao Chun-hua; Ji Jin-bao; Yan Wei-ming; Li Fang-fang
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

Some basic algorithms and theories are discussed for 9-shaker random vibration test control in this paper. A correct algorithm RMS is presented without considering influence of cross spectrum. The algorithm can make the control spectrum of convergence stably and fastly. In order to solve the problem of multiple-point input and output synthetically weighting control,  Finite Markov Chains and Algorithmic is set forth for the first time to form the main control matrix. Finally through Matlab simulation and the results show that the method can meet the engineering demand. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3702
Research in Residential Electricity Characteristics and Short-Term Load Forecasting Haixia Feng; Zhongfeng Wang; Weichun Ge; Yingnan Wang
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

In this paper we make research in Residential short-term load forecasting. Different application scenes have different affecting factors of short-term load, so we should specifically analysis of factors that affect the load of the residential electricity. We use SPSS (Statistic Package for Social Science) to figure out the relationship between the daily load and temperature, weather conditions and other factors, finding the main factors among the impacting factors, and analyzing residential electricity consumption habits and load characteristics. Then, the paper introduces the common prediction methods. Combining with the above analysis to choose short-term load forecasting methods for residential users, we create automatic linear regression model and artificial neural network model to predict the future electricity load, calculating the residual between the predicted values and the actual values and mean square deviation of the values, and evaluating the accuracy of the load forecasting. The results prove that automatic linear regression model is effective in residential short-term electricity load forecasting. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3740
Ear Recognition Based on Forstner and SIFT Ma Chi; Zhu Yongyong; Tian Ying
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

Extraction and expression of features are critical to improving the recognition rate of ear image recognition. This paper proposes a new ear recognition method based on SIFT (Scale-invariant feature transform) and Forstner corner detection technology. Firstly, Forstner corner points and SIFT keypoints are detected respectively. Then taking Forstner corner into the SIFT algorithm to calculate their descriptor as the image feature vectors. Finally ear recognition based on these feature is carried out with Euclidean distance as similarity measurement. A bi-directional matching algorithm is utilized for improving recognition rate. Experiments on USTB database show that the recognition rate reaches more 94%. The Experimental results prove the effectiveness of the proposed method in term of recognition accuracy in comparison with previous methods. It is robust to rigid changes of ear image and provides a new approach to the research for ear recognition. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2760

Page 7 of 11 | Total Record : 105

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