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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
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Research of High-voltage Impulse Track Circuit Receiver Based on Software-Algorithms He Wenjuan; Ren Jianxin; He Tao; Wei Zongshou; Wang Ruidong
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper aims to design a type of track receiver that relies on software algorithms and to optimize the whole structure of the track receiver. A voltage sensor is placed between the sender and receiver in a track circuit to collect high-voltage pulse signals generated by the sender. These signals are then sent to the CPU of the receiver for software operation. At the same time, the receiver also collects the high-voltage pulse signals from the track circuit. First, the Butterworth Low-Pass filters out 50Hz traction current of the pulse signals. These signals are the outputs from two different types of operating CPUs. Consequently, the main goal of this paper is to successfully design two sets of CPUs that respectively adopt two types of software algorithms, FFT and Mallat. It will be proven that this improved scheme has possibly reached the qualities of high speed and accuracy of CPU operation, and obviously improves instantaneity and reliability. It has been shown that this scheme, which is more feasible, has a higher degree of automation and is easier to maintain than the original equipments practically used. Hence, the scheme has the possibility of owning a much brighter application prospect in the future. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3616
A malicious URLs detection system using optimization and machine learning classifiers Ong Vienna Lee; Ahmad Heryanto; Mohd Faizal Ab Razak; Anis Farihan Mat Raffei; Danakorn Nincarean Eh Phon; Shahreen Kasim; Tole Sutikno
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1210-1214

Abstract

The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. An attacker performs the cyber-attacks on Web using malware Uniform Resource Locators (URLs) since it widely used by internet users. Therefore, a significant approach is required to detect malicious URLs and identify their nature attack. This study aims to assess the efficiency of the machine learning approach to detect and identify malicious URLs. In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. By using machine learning approach with static analysis technique is used for detecting malicious URLs applications. Based on this combination as well as significant features, this paper shows promising results with higher detection accuracy.  The bio-inspired algorithm: particle swarm optimization (PSO) is used to optimized URLs features. In detecting malicious URLs, it shows that naïve Bayes and support vector machine (SVM) are able to achieve high detection accuracy with rate value of 99%, using URL as a feature.
Global Stability of an SEIRS Model with Impulsive Vaccination and Saturating Incidence Rate Yang Yang; Cheng Nannan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6999-7006

Abstract

This paper introduces a impulsive vaccination SEIRS epidemic model with constant input, saturation incidence rate and exposed period, and the threshold valueσ=1 is obtained at which disease is eliminated. By using the impulsive differential equation theory, it is proved that whenσ<1, the disease-free periodic solution is globally asymptotically stable, and that whenσ>1,the system is uniformly persistent. On these grounds, it is shown that impulsive vaccination can bring obvious effects on the dynamics behaviors of the system.
Adaptive Two-Stage Sensing in Cognitive and Dynamic Spectrum Access Networks Yang Yu; Yanli Ji; Weidong Wang; Yinghai Zhang
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

In this paper, we first investigate and contrast the features of energy detection and cyclostationary feature detection for spectrum sensing. Combining the advantages of both, we propose an adaptive two-stage sensing scheme which first performs spectrum sensing using an energy detector in cognitive and dynamic spectrum access networks. Then this scheme decides whether or not to implement cyclostationary feature detection based on the sensing results of the first stage. On the premise of meeting a given constraint on the probability of false alarm, our proposed scheme aim to optimize the probability of detection. In order to obtain the optimal detection thresholds, the detection model is formulated as a nonlinear optimization problem. Furthermore, the performance of our scheme in sensing speed is also analyzed. The simulation results show that the proposed scheme improves the performance of spectrum sensing compared with the ones where only energy detection or cyclostationary feature detection is performed.DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4944 
Development and application of On-line Monitoring Device of Transformer Vibration Yang Yongming; Duan Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A real time on-line transformer vibration monitoring system based on the Labview is proposed and applied in the monitoring of abnormal vibration of transformer caused by DC bias in this paper. The monitoring of the transformer body vibration and the signal online analysis can be well performed by this system. The vibration signals of the transformer body are detected by three acceleration sensors, and the signal features are studied in both the time domain and the frequency domain, which provides the data for the operation condition assessment and fault diagnostics. Combined with the background data base, a virtual instrument technology has been used to realize man machine interface and the real time multifunction and multi-channel monitoring. Compared with the previous similar installations, this monitoring system makes the best use of powerful computer, the flexibility of Labview in the instrument development, and the new data store technology. The experiment results suggest that the installation fully meets the requirements of real time monitoring. Some conclusions of transformer abnormal vibration under the condition of DC bias are gained. The system facilitates the detection of the early signs of transformer mechanical failures. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3131
Developing an expert system method for assessment of destructive information-psychological influence Bilal Zahran; Jamil AL-Azzeh; Andrii Gizun; Vladyslav Griga; Bogdana Bystrova
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1571-1577

Abstract

Nowadays solving practical problems in various sectors using intelligent solutions, based on expert systems are becoming more and more widespread. In this paper an expert system method is proposed for assessment and prediction of destructive influences. All disadvantages of existing assessment systems are taken into account during the development and analysis phases. The most important estimated parameters are determined. This method is based on quantitative methods of expert evaluation, which gives the advantage: there is no need to collect large amounts of statistical data and clear formalization of the current situation.
Performance assessment of a 619kW photovoltaic power plant in the northeast of peninsular Malaysia M. Nirrmahl Raj; Jagadeesh Pasupuleti
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.pp9-15

Abstract

Photovoltaic (PV) power plants are becoming widely implemented and in larger scale around the world. Understanding performance criteria is crucial in the benchmark of PV plants and ascertaining performance requirements during both design and operational stage of a PV plant. performance ratio (PR) and capacity factor (CF) are two generally accepted benchmarks for the assessment of a grid connected PV plant. However, within the South East Asia region, and especially within Malaysia, there is a lack of compilation and benchmark for the PR and CF values of existing and operational PV plants. This lack of data is disadvantageous for the designing and assessment of performance of any PV plants in the area. Thus, the focus of this study is to assess the PR and CF performance a 619kW PV plant in the Northeast of Peninsular Malaysia, with the ultimate goal of proposing a standard. From the continuous operation of the said PV plant for the duration of one year, the plant energy production has been obtained and is compared with the simulated energy generation model. Based on the comparison, the plant is determined to be operating with PR value of 0.77 and CF value of 12%. The plant is evaluated to be operating within benchmark values. These values not only verify the performance of the studied PV plant, they also present a form of comparison for future studies.
Wavelet Neural Network-based Short-Term Passenger Flow Forecasting on Urban Rail Transit Xiaojie Zhang; Baohua Mao; Yongliang Wang; Jia Feng; Minggao 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

Accurate forecasting of short-term passenger flow has been one of the most important issues in urban rail transit planning and operation. Considering the shortcomings of traditional forecasting methods, and in order to improve forecasting accuracy of passenger flow, this paper presents a wavelet neural network (WNN) for short-term passenger flow forecasting. One real urban rail transit station with large and significantly changed passenger flow is chosen to be the example. The proposed method and BP neural network have been compared with the results, which show that the WNN model has more advantages. The WNN model features higher learning speed and drastically less convergence time, showing that it is meaningful in practical application. Furthermore, the calculated relative errors using BP neural network are nearly in the range [-0.4, 0.3] and the calculated relative errors are in the range [-0.25, 0.1] using the WNN, which demonstrate the superior accuracy of using this approach. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3096
Robust Control of Urban Industrial Water Mismatching Uncertain System LI Kebai; ZHAO Yuhua
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

Urban industrial water system parameter fluctuation producing uncertainty may not occur in a control input channel, can be applied mismatching uncertain system to describe. Based on Lyapunov direct method and linear matrix inequality, design the urban industrial water mismatching uncertain system feedback stabilization robust control scheme. Avoid the defects that the feedback stabilization control method based on the matrix Riccati equation need to preset equation parameters, easier to solve and can reduce the conservative. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2068
Control Strategy of Three Phase PWM by Three Half Bridge Topology Bidirectional DC/DC Converter and Resonant Dingzhen Li; Haizhen Guo
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.pp6111-6118

Abstract

This paper analyses and compares PWM control strategy of control and buffer type soft switching half bridge DC/DC converter. Finally, the soft switching condition are analyzed, and this article gets the realization of soft switching conditions of the three half bridge DC/DC converter and the influence factors of soft switching conditions of the three half bridge DC/DC converter. Characteristics of resonant converter can boost and buck, so the output voltage stable strategy of variable frequency control is more easily achieved. The paper presents control strategy of three phase PWM by three half bridge topology bidirectional DC/DC converter and resonant.

Page 422 of 920 | Total Record : 9199

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