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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 9,226 Documents
 199   200   201   202   203 
Detection of Watermelon Seeds Exterior Quality based on Machine Vision Xiai Chen; Ling Wang; Wenquan Chen; Yanfeng Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To investigate the detection of watermelon seeds exterior quality, a machine vision system based on least square support vector machine was developed. Appearance characteristics of watermelon seeds included area, perimeter, roughness, minimum enclosing rectangle and solidity were calculated by image analysis after image preprocess.The broken seeds, normal seeds and high-quality seeds were distinguished by least square support vector machine optimized by genetic algorithm. Compared to the grid search algorithm, the classification results of watermelon seeds exterior quality achieved by genetic algorithm were analyzed in detail. Meanwhile machine vision grid laser was applied to detect the surface irregularities defects of watermelon seeds. This study demonstrated the feasible of detecting the watermelon seeds exterior quality by machine vision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2605
A Novel Sensor Fault Detection Method Chen Yongqi; Zhao Yiming
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 detect the sensor faults of the plant with min-disturbance, a weighted least squares interval regression model is proposed. The output of the proposed model is an interval band which can resist the disturbance influence and give correct sensor fault alarm. Additionally, the time complexity of this model is low because only a set of linear equations can determine the parameters. The experiments of fault instance demonstrate the feasibility and effectiveness of the interval regression model. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3684  
Microclimate control of a greenhouse by adaptive Generalized Linear Quadratic strategy Mohamed Essahafi; Mustapha Ait Lafkih
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp377-385

Abstract

To highlight the conceptual aspects related to the implementation of techniques optimal control in the form state, we present in this paper, the identification and control of the temperature and humidity of the air inside a greenhouse. Using respectively an online identification based on the recursive least squares with forgotten Factor method and the multivariable adaptive linear quadratic Gaussian approach which the advanced technique (LQG) is presented.  The design of this controller parameters is based on state models identified directly from measured greenhouse data. hence the performances of the controller developed are illustrated by different tests and simulations on identified models of a greenhouse. Discussions on the results obtained are then processed in the paper to show the effectiveness of the controller in terms of stability and optimization of the cost of control.
Financial Feasibility Study of Waste Cooking Oil Utilization for Biodiesel Production Using ANFIS Imam Ahmad; Irman Hermadi; Yandra Arkeman
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Consumption of fuel oil is increasing, but it is not accompanied by supply. Transportation sector is spent the most existing fuel. Therefore, it is crucial to look for alternative type of fuel such as biodiesel to overcome the fuel shortage. The purpose of this study is to investigate the feasibility on how the investment of waste cooking oil as the biodiesel material production. This study consists of two phases. First is calculating feasibility fuzzy model with the input price of biodiesel, waste cooking oil prices and interest rates, and as its output are Net Present Value (NPV), Internal Rate of Return (IRR), Net Benefit Cost Ratio (Net B/C) and Payback Period (PBP). Second is predicting the feasibility of using Adaptive Neuro Fuzzy Inference System (ANFIS). The results of the analysis for each type of membership function (mf) were obtained triangular accuracy 77%, accuracy gaussian 53% and trapezoidal accuracy 61%. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7122
Optimal quality ultra high video streaming based H.265 Hiba Khalid Abd al-azeez; Nasser N. Khamiss
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1474-1485

Abstract

Using Ultra-High Definition (UHD) video streaming in real-time transmission over the internet is the main challenge of this paper. Due to the widely variation of the available Internet bandwidth makes the difficulties of video streaming with flexibility and efficiency. In this paper the UHD video is down sampled and encoded at different levels of 4K, FHD, 720p, 4CIF, CIF and QCIF. Experiments were done to find the optimal configuration of H265 features at each level that give the required PSNR, 36 dB, at assigned bitrate. A controller is incorporated with H265 encoder to achieve the adaptation of video streaming on the available bandwidth by choosing the proper level that is compatible with the channel bitrate results of keeping a good quality to the end user. The adaptation of video was realized by making the controller periodically reads the status of the buffer, such function helps the controller to select the proper level, 4K, FHD, 720p, 4CIF, CIF or QCIF to be streamed over the channel. At the decoder the reconstructed video for lower level is done by interpolation scaling up.
The Design and Simulation of Improved and Multiplex Boost Converter Xuanfeng Shangguan; Huimin Yang; Yongliang Wang; Benlong Shi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In a MW-level and high-power wind power system, the level of current and voltage is easy to exceed the capacity of one switch device, so single boost converter has already can't meet the requirements of system. To solve this problem , for 1.2MW direct drive VSCF wind power system this paper designed a improved and multiplex boost converter , the over-voltage protection circuit branch is inserted into the circuit. The system state equation and control strategy are given, and the input current ripple is analyzed. Finally, in the Matlab environment, build the model of direct-drive wind power generation system to verify the feasibility of this circuit. The results show that: the system can run stably, has high efficiency, low ripple and has a good practical value. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.5002
NARX Based Short Term Wind Power Forecasting Model M. Nandana Jyothi; V. Dinakar; N. S S Ravi Teja; K. Nanda Kishore
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Nowadays, with the growing needs of the consumers there is a huge demand for the electric power but the fuel reserves are also depleting at the same pace. So, this has created the need to depend up on the renewable energy resources to meet the required power demand.  Since the power generated through renewable resources is eco friendly in nature and distributed, this is an added advantage. Of all the renewable energy resources solar and wind plays the most crucial part in the power generation because of their wide spread availability. But the wind energy is volatile and intermittent by nature, due to this interconnecting the power generated to grid becomes a hectic task. So in this paper a wind power forecasting model with the help of artificial neural networks (ANN) is developed so that the wind power can be forecasted well in progress, which helps in maintaining and operating grid interconnection and also scheduling of units. The developed model is based on the non-linear auto regressive with exogenous input (narx) tool which trains the ANN for the time series. The input parameters taken into consideration are wind speed, temperature, pressure, air density and the output parameter is generated power. The required data is collected from the Energy Department of KLUniversity, Andhra Pradesh which consists of 720 hours data from that 672 hours data is used for training and 48 hours data is used for prediction. Mean square error and root mean square error are calculated from the predicted and known results. DOI: http://dx.doi.org/10.11591/telkomnika.v15i1.8070
Four Order Electrostatic Discharge Circuit Model and its Simulation Ke Wang; Jinshan Wang; Xiaodong Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the international electrotechnical commission issued IEC61000-4-2 test standard, through the electrostatic discharge current waveform characteristics analysis and numerical experiment method, and construct a new ESD current expression. Using Laplasse transform, established the ESD system mathematical model. According to the mathematical model, construction of passive four order ESD system circuit model and active four order ESD system circuit model, and simulation. The simulation results meet the IEC61000-4-2 standard, and verify the consistency of the ESD current expression, the mathematical model and the circuit model. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1632
Transformer Fault Diagnosis Based on Hierarchical Fuzzy Support Vector Machines XIAO Yan-cai; NAN Gui-qing; ZHANG Qing; HAN Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Large power transformer, as the key equipment of power system, plays an influential role to ensure the safe operation of power system. In this paper, transformer fault diagnosis model is built based on Fuzzy Support Vector Machines（FSVM） which combines Support Vector Machines (SVM) with fuzzy degree of membership. Hierarchical classification algorithm for multi-class classification is applied to diagnose the transformer fault. The membership value of the FSVM is obtained by Fuzzy C Means. Parameters of the FSVM model are optimized with Genetic Algorithm (GA). The transformer states are divided into trouble-free(normal), low temperature overheating T1, medium temperature overheating T2, high temperature overheating T3, low-energy discharge D1, high-energy discharge D2, and partial discharge PD. A mass of fault samples are analyzed and the results are compared with those obtained by the methods of Back-Propagation Neural Network (BPNN) and SVM, which shows that the proposed model is more effective and accurate. So the given method of transformer fault diagnosis based on Fuzzy Support Vector Machines is feasible. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3414
Theoretical Analysis of Gap Coupled Microstrip Patch Antenna Akanksha Gupta; D K Srivastava; J.P. Saini
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 2: August 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i2.pp567-576

Abstract

When a patch is placed close to the fed patch, get excited due to parasitic coupling between the two elements. This proposed work presents theoretical analysis of rectangular gap coupled microstrip patch antenna (R-GCMSA) using circuit concept model, and the effect of gap(g), feed width (Wf), and feed length on performance of the impedance bandwidth is also studied, it is observe as the gap between the parasitic element is increased resonant frequency shifted towards the parasitic patch resonant frequency for broadening the impedance bandwidth. The maximum impedance bandwidth for the proposed antenna design is 12.7% in the frequency range of 3.24-3.7GHz measured, with rectangular shape ground plane size 6030m.m2.the highest directivity achieved is 4dBi.The proposed design is simple in structure and compact in size, proposed design is simulated on IE3D Microwave simulator, the simulated result is in good agreement with obtained theoretical and measured results.

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