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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
 236   237   238   239   240 
A Quantum Pointer Signal Processing Research Shuyue Wu; Jingfang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i3.pp675-683

Abstract

In quantum gray-scale image processing, the storage in quantum states is the color information and the position information According to the advantage of small range of the gray scale in a gray-scale image, a novel storage expression of quantum gray-scale image is proposed and demonstrated in this study. Besides, a new concept of "quantum pointer" is put forward based on the expression. Quantum pointer is the vinculum between the information of gray-scale and position of each pixel in quantum gray-scale images. The feasibility is verified for the proposed quantum pointer, and the properties of bi-direction and sub-block are used, the storing and other operations of quantum gray-scale image are simpler and more convenient. 
Flyback Topology TEM Bipolar Pulse Transmitter Guo-fu Wang; Yong-shou Yang; Jin-cai Ye
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the fields of transient electromagnetic (TEM) geophysical exploration, it is necessary to create a bipolar pulse current source with decline edge of high linearity, short turn-off time and high stability. In order to improve detection equipment’s practicality, it’s urgently needed to miniaturize and improve the reliability of the detection equipment. In this paper, a clamp and prompt drop bipolar pulse current circuit based on Flyback topology is represented, which can accelerate the decline of load current by clamping the coil load with fixed high voltage in the period of current declining. Also, because of this circuit’s low power consumption and significantly improvement of the transmitter’s energy utilization, chassis’s cooling equipment can be greatly reduced and it’s easier to miniaturize the transmitter. To start with, the principle of this circuit is represented. Then, the method is given to select the optimal values of circuit’s components. Finally, the results of simulation proves the proposed circuit meeting the requirements much better than those reported, with shorter turn-off time, higher linearity, less energy consumption. In general, this circuit has been successfully applied to a new type of detection equipment. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3250
The performance of Gauss Markov’s mobility model in emulated software defined wireless mesh network Tsehay Admassu Assegie; Pramod Sekharan Nair
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp428-433

Abstract

Wireless mesh networks (WMNs) are a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area networks (WLANs).Test bed analysis and emulation plays an important role in evaluation of wireless networks and node mobility is the prominent feature of next generation wireless network. In this paper we will focus on the models of wireless station mobility and discuss their importance within the software defined wireless mesh network performance evaluation. The existing mobility models for the next generation software defined wireless network will be explored. Finlay, we will present the mobility models in the mininet-Wi-Fi test bed, and evaluate the performance of the models
The Vermicelli Cutting Machine Control System Design and Structure of the Finite Element Analysis Jianzhong Zhang; Zhaoming He; Xingming Xiao; Kun Li; Yingying Xin; Xinpeng Xie
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

Along with the social demands for the amount of food and constantly improve, the cutting way is not able to meet the user's requirements. So the automatic production line for automatic vermicelli cutting machine is designed. This paper mainly introduces the design of control circuit for cutting off machine. The parameters are optimized by programs. Static analysis for supporting structure of cutting machine is given by ANSYS software. The distribution of stress and strain is obtained. The maximum stress position is found. Determine whether or not to meet the use requirements and provide optimization proposal, and discuss the feasibility of the improvement scheme. The modal analysis for the cutting machine is done by ANSYS which provides theoretical basis for optimization design. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4456
Research on Life Signals Detection Based on Higher Order Statistics Jian-Jun Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

The life signals are built on harmonic mode for their low frequency, quasi-periodicity, low SNR, and the easy submerged in strong clutter noise. The method for detecting life signal based on adaptive filter and high order statistics is presented, in which neither the Gaussian supposition of the observed signal, nor a prior information about the waveform and arrival time of the observed signal is necessary. The principle of method is to  separate the spectrum of input signal into many narrow frequency bands, whose Sub-band signal  is followed by a short-time estimation of higher-order statistics so as to suppress Gaussian noises. Simulated results show that the method can effectively detect life signals from noise with good convergence speed and stability, and greatly improve the signal quality with respect to LMS method. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1597 
Small Signal Stability Analysis of Grid Connected Photovoltaic Shalom Lim Zhu Aun; Marayati Bte Marsadek; Agileswari K. Ramasamy
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp553-562

Abstract

This paper primarily focuses on the small signal stability analysis of a power system integrated with solar photovoltaics (PV). The test system used in this study is the IEEE 39-bus. The small signal stability of the test system are investigated in terms of eigenvalue analysis, damped frequency, damping ratio and participation factor. In this study, various conditions are analyzed which include the increase in solar PV penetration into the system and load variation. The results obtained indicate that there is no significant impact of solar PV penetration on the small signal stability of large scaled power system.
Improved Chicken Swarm Optimization Algorithm to Solve the Travelling Salesman Problem Fayçal Chebihi; Mohammed essaid Riffi; Amine Agharghor; Soukaina Cherif Bourki Semlali; Abdelfattah Haily
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1054-1062

Abstract

This paper proposes a novel discrete bio-inspired chicken swarm optimization algorithm (CSO) to solve the problem of the traveling salesman problem (TSP) which is one of the most known problems used to evaluate the performance of the new metaheuristics. This problem is solved by applying a local search method 2-opt in order to improve the quality of the solutions. The DCSO as a swarm system of the algorithm increases the level of diversification, in the same way the hierarchical order of the chicken swarm and the behaviors of chickens increase the level of intensification. In this contribution, we redefined the basic different operators and operations of the CSO algorithm. The performance of the algorithm is tested on a symmetric TSP benchmark dataset from TSPLIB library. Therefore, the algorithm provides good results in terms of both optimization accuracy and robustness comparing to other metaheuristics.
Automatic classification of paddy leaf disease Shafaf Ibrahim; Nurnazihah Wahab; Ahmad Firdaus Ahmad Fadzil; Nur Nabilah Abu Mangshor; Zaaba Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp767-774

Abstract

RiceisastaplefoodinmostoftheAsiancountries.Itisanimportantcrop, andoverhalfoftheworldpopulationreliesonitforfood.However,paddy leafdiseasecanaffectboththequalityandquantityofpaddyinagriculture production.Theclassificationofpaddyleafdiseaseisanimportantand urgenttaskasitdestroysabout10%to15%ofproductioninAsia.Thus,a studyonautomaticclassificationofpaddyleafdiseaseusingimage processingispresented.Featureextractiontechniquesofcolor,texture,and shapewereimplementedtoanalyzethecharacteristicsofthepaddyleaf disease.Inanother note,aSupportVector Machine(SVM)isused toclassify thefourtypesofpaddyleafdiseasewhicharethebrownspot,bacterialleaf blight,tungrovirus,andleaf scald.Theperformanceofthe proposedstudyis evaluatedto160testingimageswhichreturned86.25%ofclassification accuracy.Theoutcomeofthisstudyisexpectedtoassisttheagrotechnology industryinearlydetectionofpaddyleafdiseaseinwhichanappropriate actioncould be taken accordingly.
Emergency Resource Scheduling Problem Based on Improved Particle Swarm Optimation Wu Kaijun; Shan Yazhou; Lu Huaiwei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Emergency resource scheduling is a kind of NP combination problem which possesses important practical value. In order to overcome the problems such as long computing time and easy to fall into local best for traditional heuristic optimization algorithm, an Improved Particle Swarm Optimization algorithm (IPSO) is proposed，the algorithm uses the randomicity and stable tendentiousness characteristics of cloud model, adopts different inertia weight generating methods in different groups, the searching ability of the algorithm in local and global situation is balanced effectively. In the paper, the algorithm is used to solve the emergency resource scheduling problem, the mathematic mode is established and the solution algorithm is developed. The simulation results of example show that the algorithm has faster search speed and stronger optimization ability than GA and PSO algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5437
Evaluation and Improvement of Shipbuilding Capability of China Ye Feng; Zeng Guang-wu; Wang Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

There are many thorny problems in our country, such as the security of sea lanes. To deal with these problems, China needs to develop sophisticated naval force, and warship industry is the key factor to improve Chinese navy. Chinese warship industrial capacity is evaluated by using the assessment system. According to the results and existing researches, strategies for improving Chinese shipbuilding industry capability is built from five aspects. It is the reference to strengthen Chinese warship industrial capacity, improve navy’s core competence, thus secure Chinese territory and marine economy. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2216

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