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23,675 Article Results

Design of Receiver Used for Passive Millimeter Wave Imaging System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2982
Bao-hua Yang , Zhi-Ping Li , Tong-Fei Yu , Jin Zhang , Xian-Xun Yao , An-Yong Hu , Cheng Zheng , Jun-Gang Miao
As millimeter wave (MMW) electronic technologies have matured, the MMW imaging using for human security inspection is emerging as an effective approach to imaging through obscuring materials, such as clothing for concealed weapons detection or plastic mines. This paper introduces temperature sensitivity firstly and then the fringe-washing functions are derived which decide the structure the antenna array and the receivers of the system BHU-2D. Finally, the fringe-washing functions and their phases are calculated from the frequency responses of 24-receiver, they all show good consistency of the receivers which also can be proved from the test results of receivers. From the final imaging of our system, the 1-2K temperature sensitivity is realized successfully. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3012
Volume: 12
Issue: 1
Page: 98-105
Publish at: 2014-01-01

Study of automatically generate test data based on evolutionary algorithm method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3067
Zhag yunlong , Ni Jian
The study of automatically generate test data based on evolutionary algorithm method focuses on the path coverage direction. The key problem is how to construct a suitable and has a good orientation of the fitness function to evaluate the quality of a test data. This paper introduces several evolution test methods, shows its advantages and problems it can effectively solve, and proposes an improved evolutionary test data generation method, which can generate better test data. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3342
Volume: 12
Issue: 1
Page: 818-822
Publish at: 2014-01-01

Design of a Subsequent Water Detection System Controlled by the Microcontroller

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3014
Chu Yan , Tang Kang , Feng Xiaoming , Cai Xinyuan , Chen Pengju
This article instructs the subsequent water detection system design and implementation of sanitary ware. This system used C8051f040 Microcontroller as the main control module and communication module which controlled the operation of the entire system，touch screen as a position machine，and made use of metal probing technique and weighing sensor technology to realize data test、collection、display、storage and export. At last，the experimental results showed that this system meet the expected requirement and can measure the subsequent water more accurately. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.4140 
Volume: 12
Issue: 1
Page: 371-378
Publish at: 2014-01-01

Radiation Characteristics of Guided and Leaky modes for a Plasma Column Antenna

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2984
Bo Yin
 A substantial problem for the radiation of a plasma column antenna is investigated. By means of the study on electromagnetic (EM) waves propagating along the plasma column and acting with plasma, it is found that a plasma column can radiate the EM energy when it works as two kinds of operation modes. The first one is a guided mode which leads to a surface current radiation, and its operation condition is obtained by determining the relation of plasma frequency and signal frequency. The second one is a leaky mode which causes a leaky wave radiation, and its operation condition is presented by analyzing normalized complex propagation constant. With further dealing with the leaky mode, its far field is got by applying the Schelkunoff’s equivalence principle on the surface of the plasma column. Radiation patterns of two kinds of modes are presented in their respective operation frequency bands, and reveal the radiation properties of the plasma antenna. The presented results are very helpful for further investigation in the design and application of plasma column antennaDOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3500
Volume: 12
Issue: 1
Page: 113-121
Publish at: 2014-01-01

Analysis of Brownian Particles for finding the shortest path in networks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3061
Bin Hu , jia li xu , huan yan qian
In this paper, we propose a method to analyze the shortest path finding between two nodes in complex networks. In this method, we first find that single Brownian particle follows the shortest path between source node and destination node in the probability of where denotes the shortest path steps between two nodes. To be compared with single particle utilization, then we specially analyze the multiple particles. We compute the probability of particles’ taking the shortest path between and when particles starts simultaneously from the source and head to the destination as . It’s very clear that there must be particles taking the shortest path to arrive at the destination in the multiple particles environment. And with the number of increasing, the arriving probability first arise and then drop down rapidly until to zero. In the end, we make the experiments and confirm our theoretical analysis. Our results would provide valuable usage for some applications such as finding the optimal routing in wireless sensor networks. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3071
Volume: 12
Issue: 1
Page: 771-777
Publish at: 2014-01-01

A Novel Spectrum Handoff Method Based On Spectrum Reservation

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3046
Peng Yi , Zheng Yong
In this paper, we apply fuzzy analytic hierarchy process (FAHP) method in the decision process of Cognitive Radio Networks (CRN) spectrum handoff. Based on the pre-determined target spectrum list model, considering the multiple indicators which influence the handoff performance, we designed a spectrum handoff method based on spectrum reservation strategy. Simulation results show that the algorithm proposed in this paper exceeds the random handoff algorithm without channel order, it can significantly reduce the handoff frequency and time overhead of cognitive users, reduce the system delay and improve the system throughput. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3573
Volume: 12
Issue: 1
Page: 653-660
Publish at: 2014-01-01

Target Tracking Feature Selection Algorithm Based on Adaboost

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3056
Chen Yi
With the development of image processing technology and popularization of computer technology, intelligent machine vision technology has a wide range of application in the medical, military, industrial and other fields. Target tracking feature selection algorithm is one of research focuses in the machine intelligent vision technology. Therefore, to design the target tracking feature selection algorithm with high accuracy and good stability is extremely necessary. This paper presents a target tracking feature selection algorithm based on Adaboost. It includes Adaboost algorithm’s principle and Adaboost algorithm's application in video object tracking. Experimental results show that the proposed algorithm has the characteristics of real-time, accuracy and stability. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3688
Volume: 12
Issue: 1
Page: 734-740
Publish at: 2014-01-01

Research on Space Target Recognition Algorithm Based on Empirical Mode Decomposition

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3016
Xia Tian , Hou Chengyu , Shen Yiying
The space target recognition algorithm, which is based on the time series of radar cross section (RCS), is proposed in this paper to solve the problems of space target recognition in the active radar system. In the algorithm, EMD method is applied for the first time to extract the eigen of RCS time series. The normalized instantaneous frequencies of high-frequency intrinsic mode functions obtained by EMD are used as the eigen values for the recognition, and an effective target recognition criterion is established. The effectiveness and the stability of the algorithm are verified by both simulation data and real data. In addition, the algorithm could reduce the estimation bias of RCS caused by inaccurate evaluation, and it is of great significance in promoting the target recognition ability of narrow-band radar in practice. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.4142
Volume: 12
Issue: 1
Page: 388-397
Publish at: 2014-01-01

Transient Stability Analysis of Grid-connected Wind Turbines with Front-end Speed Control via Information Entropy Energy Function Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2973
Haiying Dong , Shuaibing Li , Shubao Li , Hongwei Li
According to the characteristics like time-consuming and can not be quantitatively analyzed of time domain simulation in power system transient stability analysis, a direct method using information entropy combined with transient energy function method is proposed in this paper to analyze the transient stability of wind power system equiped with front-end speed controlled wind turbines (FSCWT) with synchronous generators. In which, the system kinetic energy and potential energy are used as information source to makeup information entropy function, then, a theoretical analysis of system transient stability is conducted. Based on this, simulations are carried out in IEEE 5-machine 14-bus system compared with the time domain’s, which verified the consistency of information entropy energy function (IEEF) method and time domain analysis. Results show that it is more intuitively and effectively to use IEEF method for wind power system transient analysis equiped with FSCWT.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3379
Volume: 12
Issue: 1
Page: 20-28
Publish at: 2014-01-01

Sensitivity of Support Vector Machine Classification to Various Training Features

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3005
Nanhai Yang , Shuang Li , Jingwen Liu , Fuling Bian
Remote sensing image classification is one of the most important techniques in image interpretation, which can be used for environmental monitoring, evaluation and prediction. Many algorithms have been developed for image classification in the literature. Support vector machine (SVM) is a kind of supervised classification that has been widely used recently. The classification accuracy produced by SVM may show variation depending on the choice of training features. In this paper, SVM was used for land cover classification using Quickbird images. Spectral and textural features were extracted for the classification and the results were analyzed thoroughly. Results showed that the number of features employed in SVM was not the more the better. Different features are suitable for different type of land cover extraction. This study verifies the effectiveness and robustness of SVM in the classification of high spatial resolution remote sensing images. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3969  
Volume: 12
Issue: 1
Page: 286-291
Publish at: 2014-01-01

Design of Multi-hop Qos Scheduling for IEEE 802.16 Networks

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2960
Yi-Ting Mai , Chun-Chuan Yang , Jeng-Yueng Chen , Cheng-Jung Wen
Broadband wireless networks are increasing in popularity owing to current advances in technology. For large area network deployment, IEEE 802.16 mesh networks can provide a wide coverage, high speed and high quality multimedia service. IEEE 802.16 mesh configuration eliminates the need to have direct links between subscriber stations (SSs) and the base station (BS); a node can choose the links and path of the highest quality to transmit data and avoid the congested areas. To provide better Quality of Service (QoS) over the 802.16 network, the network layer 3 (L3) and layer 2 (L2) QoS must be integrated. Hence, cross-layer mechanisms were designed and incorporated into our previously proposed IEEE 802.16 QoS frameworks. Taking into consideration resource utilization and QoS requirements, we devised various scheduling schemes to determine their effects on the IEEE 802.16 mesh network. Our performance evaluation demonstrates that the proposed framework with enhancement scheduling has higher throughput, lower delay and signal cost than comparable systems. In this paper, we provide an appraisal of our proposed scheme. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3708
Volume: 11
Issue: 12
Page: 7715-7726
Publish at: 2013-12-01

The Research of Through-casing Resistivity Logging Logging Calibration System Leakage Current Measurement Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2934
ZHANG Jiatian , WANG Huanyou , BAO Dezhou
This paper introduces the logging principle of through-casing resistivity logging technology, finds a phenomenon that the leakage current measurements are susceptible to sufferring interferences. The through-casing resistivity logging technology in Russia and that of Schlumberger are studied, and the system of through-casing resistivity logging is established to improve the accuracy of calibrating, testing and measuring of the instrument. In this paper, distribution parameters of the form is replaced by the lumped parameter, and precision resistor array simulation in formation leakage current and scale pool simulation in different resistivity of formation are conducted, which make the dynamic range of the simulation in formation resistivity of the medium increase to 1- 300 Ω·m and meet the requirement of through-casing resistivity logging technology measurement range, 1 Ω·m ~ 100 Ω·m. Since the measuring signals of calibration acquisition and processing systems are extremely weak and calculation signals need to tell the nV (nanovolts) level, the high accurate data acquisition system of 24 digits is applied. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3671
Volume: 11
Issue: 12
Page: 7509-7515
Publish at: 2013-12-01

Improved Torque Control Performance of Direct Torque Control for 5-Phase Induction Machine

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/4966
Logan Raj Lourdes Victor Raj , Auzani Jidin , Kasrul Abdul Karim , Tole Sutikno , R. Sundram , Mohd Hatta Jopri
In this paper, the control of five-phase induction machine using Direct Torque Control (DTC) is presented. The general D-Q model of five-phase induction machine is discussed. The de-coupled control of stator flux and electromagnetic torque based on hysteresis controller similar to conventional DTC is applied to maintain the simplicity of the system. Three sets of look-up tables consist of voltage vectors with different amplitude that selects the  most optimal voltage vectors according motor operation condition is proposed. This provides excellent torque dynamic control, reduces torque ripple, lower switching frequency (high efficiency) and extension of constant torque. Simulation results validate the improvement achieved.DOI: http://dx.doi.org/10.11591/ijpeds.v3i4.5249
Volume: 3
Issue: 4
Page: 391-399
Publish at: 2013-12-01

Based on Artificial Immune Algorithm of Robot Multi-Sensor Signal Variation Characteristics of the Detection Method

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2945
Hongwei Yan , Huijuan Li , Xin Li , Qiang Gao
With the continuous improvement of robot intelligent, constantly expanding range of applications, as well as multi-sensor information fusion technology, the traditional single sensor signal transmission problem has become multi-sensor transmission problems or multiple source signal transmission problems. This brought a large amount of signal variation and signals multiple variation problems. The traditional detection algorithm has been unable to meet the requirements; therefore, this paper puts forward a kind of robot multisensory signal variation test method based on artificial immune algorithm. First, establish the dynamic changes of the signal variability of equations to get the cross point of the distribution of the signal variability of variability, then update signal variation characteristic database, in the database selection signal variation characteristics. The method overcomes the drawbacks of traditional algorithms; the experiments show that this algorithm can avoid the defect signal variability of mutation, to improve the accuracy of signal variation detection.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3682
Volume: 11
Issue: 12
Page: 7599-7604
Publish at: 2013-12-01

Architectural Approaches for Self-Healing Systems Based on Multi Agent Technologies

https://ijece.iaescore.com/index.php/IJECE/article/view/5418
Hamid Bagheri , Mohammad Ali Torkamani , Zhaleh Ghaffari
Self-healing systems are able to adapt themselves at runtime time in response to changing environmental or operational circumstances, shifting user requirements, and unanticipated faults without human intervention. Conceptually, a self-managing system is composed of four key capabilities; Monitoring, performing Analysis, Planning and Executing the plan. The preferred way to enable repair in a self-healing system is to use externalized repair/adaptation architecture. Adaptability, dynamicity, awareness, observability, autonomy, robustness, distributability, mobility and traceability are requirements that an architecture style for self-healing system should satisfy. In this paper we discuss Multi agent based self-healing system has a characteristics that can satisfy mentioned requirement. We define associations between architecture style requirements for self-healing system and MAS characteristics. As a case study in a real project we have designed Automated Teller Machine (ATM) combination with biometric sensors based on multi-agent architecture.DOI:http://dx.doi.org/10.11591/ijece.v3i6.3952
Volume: 3
Issue: 6
Page: 779-783
Publish at: 2013-12-01
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