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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 9,199 Documents
 399   400   401   402   403 
Development and Application of University Information Service Chun Yu; YanXia Li; Fang Yuan; Qian Zhang; Xi Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The current situation and existing problems in university informationisation was given briefly, with object of university information service development. It proposed the method to develop information service, including both model design and technology realization on basis of main database. A system, which covers the core data resource of the university and implements one-stop information service has been designed and realized. Integrated with R-ABAC, Portal and dynamic reports, it provided comprehensive inquiry and statistical analysis service of all kinds of information for all the teachers, students and all levels of managerial staff, which applied in individual management, business management and decision making, which serves talents training, the basic task of universities. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4948
Numerical simulation of DIC drying process on matlab distributed computing server Hafizah Farhah Saipan Saipol; Norma Alias
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp338-346

Abstract

Instant controlled pressure drop, also known as DIC, is one of the drying techniques that has been used for texturing, extracting and drying various food products. Mathematical model has been used to explain the drying process, although most of the studies focused on the statistical regression model approach. Due to the limitations of regression model, which neglects the fundamental of dehydration process, this paper presents the development of mathematical models to detect, solve and visualize the three-dimensional (3D) heat and mass transfer in DIC drying process. Finite difference method (FDM) with central difference formula is used to discretize the mathematical models. A large sparse of system of linear equation (SLE), which represents the actual drying process, is solved by using some numerical methods, such as jacobi (JB), red black gauss seidel (RBGS), alternating group explicit with douglas (AGED) and brian (AGEB) methods. Based on the numerical results, high execution time and high computational complexity have been shown. In order to reduce the execution time and computational complexity, the parallel algorithm based on domain decomposition technique has been implemented on the MATLAB distributed computing server (MDCS). The parallel algorithm of the numerical methods was evaluated and compared based on the parallel performance metrics: execution time, speed up, efficiency, effectiveness, temporal performance and granularity. From the parallel performance metrics, it was found that the PAGEB approach had better performance, followed by PAGED, PRBGS and PJB methods.
The strategy of construction equipment energy-saving control Jiejia LI; DaiYan LIU; Rui QU
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

To improve building energy-saving equipment control gets more and more attention. In order to make the room have a good comfort level, this paper designed a system to control temperature and humidity of variable air volume air conditioning, by a new control method of VAV air conditioning self-adaption decoupling to decouple temperature and humidity, combining the fuzzy PID control and the RBF neural network decoupling control method, improved the control effect that inhibit the coupling of temperature and humidity. Simulation results show that: the neural network decoupling control method has a strong decoupling control capability for the strong coupling lead to control issues like accuracy is not high and the control performance is not good in the multi-variable control system, stable state and dynamic performance have been improved and the control effect of the air-conditioning systems and indoor air quality have improved. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.860
Implementation and Optimization of A Fast Inter Prediction Algorithm Xiaoyu Li
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

Audio Video coding Standard is the second generation Source Coding-Decoding standards of China, especially for embedded audio/video platform. This paper proposes an efficient and fast inter prediction algorithm, which is one of the key techniques of Audio Video coding Standard.Reducing of the redundancy in source sequence inter prediction, it could improve the picture quality. The optimization schemes include two aspects,which are the algorithm framework, variables and data structure. Optimized results demonstrate that our algorithm has a notable improvement of the clockcycle efficiency. Furthermore, this research also gives a valuable insight of the combination with quantum information. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2992
Research about Three Dimensional Reconstruction of Medical Image Linan Fan; Xin Wang; Guangyuan Zhang; Qiechun Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, through comparison of different reconstruction algorithms for volume rendering, we put forward Ray Casting algorithm as the scheme of 3D reconstruction of medical image. We improved the image synthesis operator, and combined section sampling mode to reconstruct the image. Finally we rendered images on GPU. By using improved operator, we not only made the rendering speed accelerated, but also made the quality of rendering images improved. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2084
Dynamic Modeling Process of Neuro Fuzzy System to Control the Inverted Pendulum System Tharwat O. S. Hanafy; Mohamed K Metwally
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.pp6153-6163

Abstract

The analysis and control of complex plants often requires the principles of qualitative process models since quantitative, namely analytical process models are not available. Qualitative modeling is one promising approach to the solution of difficult tasks automation if qualitative process models are not available. This contribution presents a new concept of qualitative dynamic process modeling using so called Dynamic Adaptive Neuro fuzzy Systems. This yields the framework of a new systems theory the essentials of which are given in further section of the paper. First, an identification method is presented, using a combination of linguistic knowledge.
Actuator fault detection and isolation for robot manipulator using higher order sliding mode observers Khaoula Oulidi Omali; Mohammed Nabil Kabbaj; Mohammed Benbrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

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Abstract

Fault detection and isolation (FDI) approach for actuator faults on a robot manipulator using a model-based FDI fault, which can occur on a specific component of the system. To detect actuator faults, higher order sliding mode Unknown Input Observers (UIO) are proposed to make analytical redundancy. The observers input laws are designed according to the so-called Super-Twisting Second Order Sliding Mode Control (SOSMC) approach and they are proved to be capable of guaranteeing the exponential convergence of the fault estimate to the actual fault signal. The proposed approach is verified in simulation on a robot manipulator.
Soft Sensing Based on Hilbert-Huang Transform and Wavelet Support Vector Machine Qiang Wang; Xuemin Tian
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

At present, much more soft sensing have been widely used in industrial process control to improve the quality of product and assure safety in production. A novel method using  Hilbert-Huang transform(HHT) combined with wavelet support vector machine(WSVM) is put forward.Firstly the method analyzes the intrinsic mode function (IMF) obtained after the empirical mode decomposition (EMD), then extracts IMF energy feature as the input feature vectors of the wavelet support vector machine. Based on the wavelet analysis and conditions of the support vector kernel function, a novel multi-dimension admissible support vector wavelet kernel function is presented, which is a multidimensional wavelet kernel, thus enhancing the generalization ability of the SVM. The proposed method is used to build soft sensing of diesel oil solidifying point. Compared with other two models, the result shows that HHT-WSVM approach has a better prediction and generalization. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2817  
Using Genetic Algorithm for Index Tracking–Evidence from Shanghai 50 Jian-he Liu; Xin Wu; Qing-Song Fang
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

This paper uses historical data of Shanghai 50 Index as sample data, replaces traditional optimization methods with genetic algorithm, uses clustering analysis method to build tracking portfolio, and compares the empirical results with those of traditional optimization methods. The empirical results of Shanghai 50 index show that using genetic algorithm for index tracking can get better performance with lower volatility. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4801  
Color moment and gray level co-occurrence matrix in classification of soil organic matter for patchouli plantation Candra Dewi; Akbar Grahadhuita; Lailil Muflikhah
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp983-991

Abstract

Patchouli is one of the essential plants that have the most potential and widely cultivated in Indonesia. Patchouli is greedily absorbing soil nutrients and organic matter. Therefore, the selection of soil with high organic matter will maximize the patchouli’s productivity. This paper aims to facilitate soil’s organic matter identification by classifying soil image based on the combination of color and texture features. The color feature extraction was done using the Color Moments method and the texture feature was done using gray level co-occurrence matrix (GLCM) method. The selection of features was performed to obtain the best combination of color and texture features. The selected features then was used as input of classification by using modified K-nearest neighbor (MKNN). The samples of soil that used as data were taken from several districts in Blitar, East Java province. The testing result of this research showed the highest accuracy of 93,33% by using 180 training data, and also particular color and texture feature combination.

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