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27,404 Article Results

Cyber Security Threats in Synchrophasor System in Wide Area Monitoring System

10.11591/ijeecs.v15.i3.pp436-444
Surender Kumar , M K Soni , D K Jain
Cyber security has become a critical priority for electric utilities. With the increase in the use of intelligent measuring devices like PMUs and more advanced communications and information technology in smart grid, the overall attack surface has increased. Cyber attacks against synchrophasor system critical infrastructure are detrimental to the functioning of the society as a whole. This paper presents the latest on cyber security of synchrophasor system in smart grid, specifically; it focuses on the deep understanding of the risk in terms of threats, vulnerabilities and consequences that arise from cyber attacks. Since the research on cyber security for the smart grid is still in its early stage, our objective is to provide an overview, analyze potential cyber security threats, and review existing security solutions in the Wide Area Monitoring System.
Volume: 15
Issue: 3
Page: 436-444
Publish at: 2015-09-01

Pornographic Image Recognition Based on Skin Probability and Eigenporn of Skin ROIs Images

10.12928/telkomnika.v13i3.1476
I Gede Pasek Suta; Mataram University Wijaya , IBK; Mataram University Widiartha , Sri Endang; Mataram University Arjarwani
The paper proposed a pornographic image recognition using skin probability and principle component analysis (PCA) on YCbCr color space. The pornographic image recognition is defined as a process to classify the image containing and showing genital elements of human body from any kinds of images. This process is hard to be performed because the images have large variability due to poses, lighting, and background variations. The skin probability and holistic feature, which is extracted by YCbCr skin segmentation and PCA, is employed to handle those variability problems. The function of skin segmentation is to determine skin ROI image and skin probability. While the function of PCA is to extract eigenporn of the skin ROIs images and by using the eigenporns the holistic features are determined. The main aim of this research is to optimize the accuracy and false rejection rate of the skin probability and fusion descriptor based recognition system. The experimental result shows that the proposed method can increase the accuracy by about 12% and decrease the FPR and FNR by about 16%, respectively. The proposed method also works fast for recognition, which requires 1.3.second per image. 
Volume: 13
Issue: 3
Page: 985-995
Publish at: 2015-09-01

Online Correction of the Dynamic Errors in a Stored Overpressure Measurement System

10.12928/telkomnika.v13i3.2092
Wei; North University of China Wang , Zhijie; North University of China Zhang
The problem encountered in sharp shock testing as a result of inadequate bandwidth must be addressed to obtain an accurate overpressure peak value when measuring the steep signals of shockwaves during explosions. A dynamic compensator can effectively amend the dynamic errors caused by sensor system characteristics; thus, a dynamic compensation method based on improved particle swarm optimization (PSO) algorithm is proposed in this paper. This method can effectively overcome the influence of the initial value derived with PSO algorithm on compensator index. The distributed algorithm is introduced into the hardware structure design of the dynamic compensator to facilitate the application of an optimized compensator to real-time online measurement. This integration realizes the high-speed parallel of the dynamic compensator of the sensor with field-programmable gate array. Experimental results show that a high-speed parallel dynamic compensator can amend the dynamic errors in a sensor accurately and in a timely manner.
Volume: 13
Issue: 3
Page: 828-835
Publish at: 2015-09-01

ECG De-noising using Hybrid Linearization Method

10.11591/ijeecs.v15.i3.pp504-508
P Sri Lakshmi , V Lokesh Raju
Electrocardiogram (ECG) is a non-invasive tool that monitors the electrical activity of the heart. An ECG signal is highly prone to the disturbances such as noise contamination, artifacts and other signals interference. So, an ECG signal has to be de-noised so that the distortions can be eliminated from the original signal for the perfect diagnosing of the condition and performance of the heart. Extended Kalman Filter (EKF) de-noises an ECG signal to some extent. This project proposes a method called Hybrid Linearization Method which is a combination of Extended Kalman Filter along with Discrete Wavelet Transform (DWT) resulting in an improved de-noised signal.
Volume: 15
Issue: 3
Page: 504-508
Publish at: 2015-09-01

Adaptive Background Extraction for Video Based Traffic Counter Application Using Gaussian Mixture Models Algorithm

10.12928/telkomnika.v13i3.1772
Raymond; Institut Informatika Indonesia (IKADO) Sutjiadi , Endang; Sekolah Tinggi Teknik Surabaya Setyati , Resmana; Petra Christian University Lim
The big cities in the world always face the traffic jam. This problem is caused by the increasing number of vehicle from time to time and the increase of vehicle is not anticipated with the development of new road section that is adequate. One important aspect in the traffic management concept is the need of traffic density data of every road section. Therefore, the purpose of this paper is to analyze the possibility of optimization on the use of video file recorded from CCTV camera for the visual observation and the tool for counting traffic density. The used method in this paper is adaptive background extraction with Gaussian Mixture Models algorithm. It is expected to be the alternative solution to get the data of traffic density with a quite adequate accuracy as one of aspects for decision making process in the traffic engineering
Volume: 13
Issue: 3
Page: 1006-1013
Publish at: 2015-09-01

Application of Ant Colony Algorithm in Multi-objective Optimization Problems

10.12928/telkomnika.v13i3.1806
Juan; Jinling Institute of Technology Li , Xianghong; Jinling Institute of Technology Tian
In actual application and scientific research, multi-objective optimization is an extremely important research subject. In reality, many issues are related to the simultaneous optimization under multi-objective conditions. The research subject of multi-objective optimization is getting increasing attention. In order to better solve some nonlinear, restricted complex multi-objective optimization problems, based on the current studies of multi-objective optimization and evolutionary algorithm, this paper applies the ant colony algorithm to multi-objective optimization, and proves through experiments that multi-objective ant colony algorithm can converge the real Pareto front of the standard test function more quickly and accurately, and can also maintain the distributivity of the better solution.
Volume: 13
Issue: 3
Page: 1029-1036
Publish at: 2015-09-01

A Novel Approach for Design and Analysis of Voltage-Controlled DSTATCOM for Power Quality Enhancement

10.11591/ijeecs.v15.i3.pp486-496
Syed Ruman , Shaik Hameed
The Power quality fluctuations of the distributed power system show a serious impact on the robust and sustainable operation of the distributed power system. These power quality fluctuations may be caused due to several reasons like leakage, faults and ageing of the lines. This project proposes a new algorithm to generate reference voltage for a controlled mode distribution static compensator (DSTATCOM) operating in voltage-control mode. The proposed scheme exhibits several advantages compared to traditional voltage-controlled DSTATCOM where the reference voltage is arbitrarily taken as 1.0 p.u. The proposed scheme ensures that unity power factor (UPF) is achieved, while regulating the voltage at the load terminal, during load change, which is not possible in the traditional method. Also, the compensator injects lower currents and, therefore, reduces losses in the feeder and voltage-source inverter. This scheme allows DSTATCOM to tackle power-quality issues by providing power factor correction, harmonic elimination, load balancing, and voltage regulation based on the load requirement.  Simulation and experimental results are presented to demonstrate the efficacy of the proposed algorithm.
Volume: 15
Issue: 3
Page: 486-496
Publish at: 2015-09-01

Conceptual Design of Multi-agent System for Suramadu Bridge Structural Health Monitoring System

10.12928/telkomnika.v13i3.1382
Seno Adi; Institut Teknologi Bandung Putra , Bambang; Institut Teknologi Bandung Riyanto , Agung; Institut Teknologi Bandung Harsoyo , Achmad; Institut Teknologi Bandung Imam Kistijantoro
Wireless Sensor Network (WSN) is small embedded devices deployed in large scale network with capability to sense, compute, and communicate. It combines modern sensor, microelectronic, computation, communication, and distributed processing technology. WSN has been taking an important contribution in structural health monitoring system, especially in Suramadu Bridge, one of the longest span bridges in Indonesia connecting Surabaya (East Java) and Madura Island. Due to subjected by environmental circumstance, it is necessary to implement intelligent and autonomous WSN to monitor the bridge condition, detect the bridge damage, and send warning message to bridge users when unsafe condition occurs. The multi-agent system is a promising approach to be implemented on intelligent and autonomous WSN, especially in the bridge structural health monitoring system. In this approach agents are empowered to have several intelligent learning capabilities for structural monitoring, damage detection, and prediction. This paper describes multi-agent system conceptual design that will be implemented as model of long span bridge structural health monitoring system considering system architecture and agent organization.
Volume: 13
Issue: 3
Page: 1079-1088
Publish at: 2015-09-01

Performance Analysis of Different Modulation Techniques for Free-Space Optical Communication System

10.12928/telkomnika.v13i3.1976
Huiying; Changchun University of Science and Technology Zhang , Hongzuo; Changchun University of Science and Technology Li , Xiao; Changchun University of Science and Technology Dongya , Cai; Changchun University of Science and Technology Chao
Free space optical system is a hot topic, which has gaining more and more attention. But,when the signal transmitted in the channel ,the performance could be severely degraded due to the atmosphere turbulent.The purpose of this paper is to find a most suitable modulation method for FSO system under FSO channel.The performance of power efficiencies,bandwidth efficiency,BER and SNR for the four modulation schemes have studied and compared in this paper include On-Off keying (OOK), Binary Phase Shift Keying(BPSK),Differential Phase Shift Keying(DPSK) and Quadrature Phase Shift Keying (QPSK) without atmospheric turbulence. Numerical   experiments show that BPSK and QPSK schemes are better compared to other schemes in BER performance and power requirements. When take intensity scintillation under Gamma-Gamma turbulence channel into consideration and the average BER is derived with Meijer-G function, BER performances of BPSK and QPSK scheme approximate the same .Compared with BPSK,BER performance for QPSK is 3dB lower .From the simulation results, modulation for BPSK is robust resist turbulence. As a result, BPSK scheme is suitable for free-space optical communication system.
Volume: 13
Issue: 3
Page: 880-888
Publish at: 2015-09-01

A New Selection Method of Anthropometric Parameters in Individualizing HRIR

10.12928/telkomnika.v13i3.1792
Hugeng; Department of Computer Engineering Universitas Multimedia Nusantara Hugeng , Wahidin; Department of Electrical Engineering University of Indonesia Wahab , Dadang; Department of Electrical Engineering University of Indonesia Gunawan
A trend issue in modeling head-related impulse responses (HRIRs) is how to individualize HRIRs models that are convenient for a particular listener. The objective of this research is to show a robust selection method of eight anthropometric parameters out of all 27 parameters defined in CIPIC HRTF Database. The proposed selection method is systematically and scientifically acceptable, compared to ‘trial and error’ method in selecting the parameters. The selected anthropometric parameters of a given listener were applied in establishing multiple linear regression models in order to individualize his / her HRIRs. We modeled the entire minimum phase HRIRs in horizontal plane of 35 subjects using principal components analysis (PCA). The individual minimum phase HRIRs can be estimated adequately by a linear combination of ten orthonormal basis functions.
Volume: 13
Issue: 3
Page: 1014-1020
Publish at: 2015-09-01

Burn Area Processing to Generate False Alarm Data for Hotspot Prediction Models

10.12928/telkomnika.v13i3.1543
Imas S; Bogor Agricultural University Sitanggang , Razali; Universiti Putra Malaysia Yaakob , Norwati; Universiti Putra Malaysia Mustapha , Ainuddin; Universiti Putra Malaysia A. N
Developing hotspot prediction models using decision tree algorithms require target classes to which objects in a dataset are classified.  In modeling hotspots occurrence, target classes are the true class representing hotspots occurrence and the false class indicating non hotspots occurrence.  This paper presents the results of satellite image processing in order to determine the radius of a hotspot such that random points are generated outside a hotspot buffer as false alarm data.  Clustering and majority filtering were performed on the Landsat TM image to extract burn scars in the study area i.e. Rokan Hilir, Riau Province Indonesia.  Calculation on burn areas and FIRMS MODIS fire/hotspots in 2006 results the radius of a hotspot 0.90737 km.  Therefore, non-hotspots were randomly generated in areas that are located 0.90737 km away from a hotspot. Three decision tree algorithms i.e. ID3, C4.5 and extended spatial ID3 have been applied on a dataset containing 235 objects that have the true class and 326 objects that have the false class. The results are decision trees for modeling hotspots occurrence which have the accuracy of 49.02% for the ID3 decision tree, 65.24% for the C4.5 decision tree, and 71.66% for the extended spatial ID3 decision tree.
Volume: 13
Issue: 3
Page: 1037-1046
Publish at: 2015-09-01

Feedback Linearization Control for Path Tracking of Articulated Dump Truck

10.12928/telkomnika.v13i3.1810
Xuan; University of Science and Technology Beijing Zhao , Jue; University of Science & Technology Beijing Yang , Wenming; University of Science & Technology Beijing Zhang , Jun; University of Science & Technology Beijing Zeng
The articulated dump truck is a widespread tansport vehicle for narrow rough terrain environment. To achieve the autonomous driving in the underground tunnel, this ariticle proporses a path following strategy of articulated vehicle based on feedback linearization algorithm. Fisrt of all, the articulated vehicle kinematics model, which reflects the relationship of the structure parameters and state variables, is established. Refering to the model, the nonlinear errors equation between real path and reference path, which are as the feedback from the path tracking process, is solved and linearized. After estimating the system controllable, according to the error equation, the path following controller with feedback linearization algorithm is designed through calaculating the parameters with the pole assignment. Finally, the hardware in the loop simulation on NI cRIO and PXI controller is lunched for verifying the control quality and real-time path tracking performance.
Volume: 13
Issue: 3
Page: 922-929
Publish at: 2015-09-01

ATLAS: Adaptive Text Localization Algorithm in High Color Similarity Background

10.12928/telkomnika.v13i3.1474
LihFong; Universiti Teknologi Malaysia Wong , Mohd Yazid; Universiti Teknologi Malaysia Idris
One of the major problems that occur in text localization process is the issue of color similarity between text and background image. The limitation of localization algorithms due to high color similarity is highlighted in several research papers. Hence, this research focuses towards the improvement of text localizing capability in high color background image similarity by introducing an adaptive text localization algorithm (ATLAS). ATLAS is an edge-based text localization algorithm that consists of two parts.  Text-Background Similarity Index (TBSI) being the first part of ATLAS, measures the similarity index of every text region while the second, Multi Adaptive Threshold (MAT), performs multiple adaptive thresholds calculation using size filtration and degree deviation for locating the possible text region. In this research, ATLAS is verified and compared with other localization techniques based on two parameters, localizing strength and precision. The experiment has been implemented and verified using two types of datasets, generated text color spectrum dataset and Document Analysis and Recognition dataset (ICDAR). The result shows ATLAS has significant improvement on localizing strength and slight improvement on precision compared with other localization algorithms in high color text-background image.
Volume: 13
Issue: 3
Page: 963-975
Publish at: 2015-09-01

Automation System Vibration Analysis Taking Environmental Factors into Consideration

10.12928/telkomnika.v13i3.2018
Tian; University of Southampton Zhe , Cong; Wuhan University of Technology Zhang , Xinping; Wuhan University of Technology Yan , Yeping; University of Southampton Xiong
This paper aims to investigate the vibration behavior of a propulsion system subjected to hull deformations ina two dimension circumstance. As known that large scale ships have great developments in recent years which could cause much severer conditions among the interaction between the propulsion system and ship hull. Excited forces from thesea waves could make the ship hull deformed which further cause drastic vibrations of the shaft system. As a result, the malfunctions of shaft propulsion system are potential existed as the vibrations of the shaft always exceed its maximum allowable values.This paper establishes a simplified model of the large ship propulsion-hull system to analyze the vibration behavior of the ship propulsion system subjected to the ship hull deformations. The hull deformations were obtained as the excited forces under different sea conditions. Then base on the simplified 2D model, the effects of propeller, supports stiffness, the location of hull excitations, the amplitude of excitations are discussed. 
Volume: 13
Issue: 3
Page: 940-948
Publish at: 2015-09-01

Expert System Modeling for Land Suitability based on Fuzzy Genetic for Cereal Commodities: Case Study Wetland Paddy and Corn

10.12928/telkomnika.v13i3.1735
Fitri; Bogor Agricultural University Insani , Imas S; Bogor Agricultural University Sitanggang , Marimin; Bogor Agricultural University Marimin
 Nowadays, threats of food shortages are happen in Indonesia. Most of crops that are consumed as main food are cereals commodities. Cereals cultivation often experience some problems in determining whether land is suitable or not for the crops. Expert system can help researcher and practitioners to identify land suitability for cereal crops. In this research, an expert system model of land suitability for cereals crop was built. The model implemented soft computing methods to develop inference engine which combines fuzzy system and genetic algorithm. There are 16 parameters to define land suitability which consists of 12 numeric parameters and 4 categorical parameters. Two types of cereal crops that were used in this study namely wetland paddy and corn. Trapezoid membership function was used to represent fuzzy sets for numerical parameters. Genetic algorithm was used for tuning the membership function of fuzzy set for land suitability which consists of very suitable (S1), quite suitable (S2), marginal suitable (S3) and not suitable (N). This expert system is able to choose land suitability classes for cereals using the fuzzy genetic model with accuracy of 90% and 85% for corn and wetland paddy respectively.
Volume: 13
Issue: 3
Page: 1047-1053
Publish at: 2015-09-01
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