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27,404 Article Results

Design of Compact Microstrip U Shape Bandpass Filter Using Via Ground Holes

10.12928/telkomnika.v14i1.2296
Fajri; Indonesian Institute of Sciences (LIPI) Darwis , Arief Budi; Indonesian Institute of Sciences (LIPI) Santiko , Novita Dwi; Indonesian Institute of Sciences (LIPI) Susanti
This paper present the microstrip bandpass filter using two U shape resonators with using via ground holes. The bandpass filter was established using two U shape resonators with using via ground holes and deployed on RT/duroid 6010 LM aims to minimize the dimension of filter. The proposed filter was characterized using software simulation. The characteristic of proposed filter is to deal with required specification. Hardware realization was done to verify the characteristic of proposed filter. The bandpass filter has the dimension of 4.2 mm x 3.8 mm. The filter was expected to have center frequency of 400 Mhz with minimum 3dB bandwidth of 15 Mhz, maximum insertion loss of -1.5 dB and VSWR less than 2. VSWR and 3dB bandwidth on realized filter have a good agreement with required specification. However the insertion loss and center frequency was not adequate. The realized filter has insertion loss of -2.554 dB with the center frequency of 404.711 MHz.
Volume: 14
Issue: 1
Page: 82-85
Publish at: 2016-03-01

SPICE Engine Analysis and Circuit Simulation Application Development

10.12928/telkomnika.v14i1.2832
Bing; Naval University of Engineering Chen , Gang; Equipment Department of the Navy Lu , Yuehai; North China University of Technology Wang
Electrical design automation plays an important role in nowadays electronic industry. Various commercial Simulation Program with Integrated Circuit Emphasis (SPICE) packages, such as pSpice Or CAD, have become the standard computer program for electrical simulation, with numerous copies in use worldwide. The customized simulation software with copyright need the understanding and using of SPICE engine which was open-source shortly after its birth. The inner workings of SPICE, including algorithms, data structure and code structure of SPICE were analyzed, and a engine package and application development approach were proposed. The experiments verified its feasibility and accuracy. 
Volume: 14
Issue: 1
Page: 64-71
Publish at: 2016-03-01

Research on Sensor Network Spectrum Detection Technology based on Cognitive Radio Network

10.12928/telkomnika.v14i1.2442
Wenzhun; Xijing University Huang , Xinxin; Xijing University Xie , Yuting; Xijing University Zhang , Shanwen; Xijing University Zhang
With the bursting development of computer science and the hardware technology, Internet of Things and wireless sensor networks has been popularly studied in the community of engineering. Under the environment of Internet of Things, we carry out theoretical analysis and numerical simulation on the sensor network spectrum detection technology based on cognitive radio network. As a means of information and intelligence, information service system is an important research hotspot in the field of Internet of things. Wireless sensor network is composed of a large number of micro sensor nodes, which have the function of information collection, data processing, and wireless communication, characterized by the integration of wireless self-organization. However, most of the methodologies proposed by the other institutes are suffering form the high complexity while with the high time-consuming when processing information. Therefore, this study is to assess the economic feasibility of using the optimized multipath protocol availability and the increased bandwidth and several mobile operators through the use of cost-benefit analysis, single path selection model is to develop more path agreement to achieve better performance. To test the robustness, we compare our method with the other state-of-the-art approach in the simulation section and proves the effectiveness of our methodology. The experimental result reflected that our approach could achieve higher accuracy with low time-consuming when dealing with complex sources of information.
Volume: 14
Issue: 1
Page: 101-109
Publish at: 2016-03-01

Energy Management of Context-aware Cold Chain Vehicle Nodes

10.12928/telkomnika.v14i1.2744
Ronling; Huaiyin Institute of Technology Hu , Xiang; Huaiyin Institute of Technology Li , Yang; Huaiyin Institute of Technology Lou , Wei; Huaiyin Institute of Technology Yan
In view of the question that the energy-constrained sensor nodes affect the normal operation of the whole system due to the short survival period, in this paper we present a new solution of adaptive energy management from the angle of context-aware computing. In different scenario modes, we take different environment acquisition and communication strategy according to scenario parameters, and thus build the context-aware energy management model. Finally, we extend the whole system life by lowering energy consumption of single internet of things vehicle node. Experimental data show that the energy management plan of context-aware wireless sensor nodes effectively reduces the energy consumption of nodes and extends the system life under the premise of providing reliable services.
Volume: 14
Issue: 1
Page: 136-143
Publish at: 2016-03-01

Hierarchical Gaussian Scale-Space on Androgenic Hair Pattern Recognition

10.12928/telkomnika.v15i1.5381
Regina; Universitas Mercu Buana Jakarta Lionnie , Mudrik; Universitas Mercu Buana Jakarta Alaydrus
Androgenic hair pattern stated to be the new biometric trait since 2014. The research to improve the performance of androgenic hair pattern recognition system has begun to be developed due to the problems that occurred when other apparent biometric trait such as face is hidden from sight. The recognition system was built with hierarchical Gaussian scale-space using 4 octaves and 3 levels in each octave. The system also implemented the equalization process to adjust image’s intensity by using histogram equalization. We analyzed 400 images of androgenic hair in the database that were analyzed using 2-fold and 10-fold cross validation and Euclidean distance to classify it. The experimental results showed that our proposed method gave better performance compared to previous work that used Haar wavelet transformation and principal component analysis as the main method. The best recognition precision was 94.23 % obtained from the base octave with the third level using histogram equalization and 10-fold cross validation.   
Volume: 15
Issue: 1
Page: 522-530
Publish at: 2016-03-01

A Comprehensive Study on Specifying an Intelligent Approach to Solve Network Reconfiguration Problem

10.11591/ijeecs.v1.i3.pp480-489
Mahmoud Reza Shakarami , Sina Khajeh Ahmad Attari , Farhad Namdari
This paper presents an approach based on biogeography-based optimization (BBO) algorithm to solve the distribution network reconfiguration (DNR) problem for minimizing active power loss. Also it is demonstrated that with considering the nature of reconfiguration problem, among the intelligent algorithms, BBO approach could result the best performance. One of the remarkable advantages of this study is comparing seven different intelligent algorithms in solving network reconfiguration problem. This comparison, not only includes final fitness in optimization process, but also considers number of function evaluation (NFE). The effectiveness of the BBO method has been tested on two different distribution systems and the obtained simulation results are compared with Genetic algorithm (GA), Particle swarm optimization (PSO), Artificial bee colony (ABC), Gravitational search algorithm (GSA), Technical learning based optimization (TLBO) and Cuckoo algorithm (CA). The comparison results show that BBO approach can be an efficient and promising method for solving DNR problems.
Volume: 1
Issue: 3
Page: 480-489
Publish at: 2016-03-01

R-L-MS-L Filter Function for CT Image Reconstruction

10.12928/telkomnika.v14i1.1831
Huiling; North University of China Hou , Mingquan; North University of China Wang , Xiaopeng; North University of China Wang
In X-ray computer tomography (CT), convolution back projection is a fundamental algorithm for CT image reconstruction. As filtering plays an important part in convolution back projection, the choice of filter has a direct impact upon the quality of reconstructed images. Aim at improving reconstructed image quality, a new mixed filter based on the idea of “first weighted average then linear mixing” is designed in this article, denoted by R-L-MS-L. Here, R-L filter is relied on to guarantee the spatial resolution of reconstructed image and S-L filter is processed via 3-point weighted averaging to improve the density resolution, thus enhancing the overall reconstruction quality. Gaussian noise of different coefficients is added to the projection data to contrast the noise performance of the new and traditional mixed filters. The simulation and experiment results show that the new filter is better in anti-noise performance and produces reconstructed images with notably improved quality.
Volume: 14
Issue: 1
Page: 195-202
Publish at: 2016-03-01

A Quality of Images Fusion for Remote Sensing Applications

10.12928/telkomnika.v14i1.2681
Yuhendra; Padang Institute of Technology Yuhendra , Josaphat Tetuko; Chiba University Sri Sumantyo
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexmage fusion is a useful tool for integrating low spatial resolution multispectral (MS) images with a high spatial resolution panchromatic (PAN) image, thus producing a high resolution multispectral image for better understanding of the observed earth surface. It has  has become an important issue for various remotes sensing (RS) problems such as land classification, change detection, object identification, image segmentation, map updating, hazard monitoring, and visualization purposes. When applied to remote sensing images, a common problem associated with existing fusion methods has been the color distortion, or degradation in the spectral quality. The main proposed of this research  is to evaluate the quality of fused images for object identification. We examine the effectiveness of the following techniques  multi-resolution analysis (MRA) and component substitution (CS) fusion. In order to improve this situation, the second purpose of this work is to establish an automatic and reliable way for the evaluation of the fused images, on the basis of both qualitative and quantitative metrics. In this result, It is found that the CS fusion method provides better performance than the MRA scheme. Quantitative analysis shows that the CS-based method gives a better result in terms of spatial quality (sharpness), whereas the MRA-based method yields better spectral quality, i.e., better color fidelity to the original MS images.
Volume: 14
Issue: 1
Page: 378-386
Publish at: 2016-03-01

A New Method Used for Traveling salesman problem Based on Discrete Artificial Bee Colony Algorithm

10.12928/telkomnika.v14i1.3169
Lei Meng , Shoulin Yin , Xinyuan Hu
We propose a new method based on discrete Artificial Bee Colony algorithm (DABC) for traveling salesman problem(TSP). We redefine the searching strategy and transforming mechanism of leading bees, following bees and scout bees according to discrete variables. The transition of swarm role is based on ratio factor of definition. leading bees use 2-Opt operator and learning operator to accelerate the convergence speed and to search the neighborhood. The searching of following bees introduce tabu table to improve the local refinement ability of the algorithm. Scouts bees define exclusive operation to maintain the diversity of population, so it is better to balance the exploration and exploitation ability of the algorithm. Finally, the experimental results show that the new algorithm can find relatively satisfactory solution in a short time, and improve the efficiency of solving the TSP.
Volume: 14
Issue: 1
Page: 342-348
Publish at: 2016-03-01

Distance Relay Impedance Measuring Problems in Presence of Wind Farms

10.11591/ijeecs.v1.i3.pp464-479
Farhad Namdari , Fatemeh Soleimani , Esmaeel Rokrok
Environmental concerns along with the increasing demand on electrical power, have led to power generation of renewable sources like wind. Connecting wind turbines in large scale powers with transmission network makes new challenges like the impact of these renewable sources on power system protection. This paper studies the impact of fault resistance and its location on voltage and current fundamental frequencies of faulted lines connected to DFIG based wind farms and it will be demonstrated that because of the large differences between these frequencies, impedance measuring of distance relays is inefficient. Hence in these power systems using conventional impedance measurements is not suitable anymore and new impedance measuring approaches are required in distance relays.
Volume: 1
Issue: 3
Page: 464-479
Publish at: 2016-03-01

An optimized method of partial discharge data retrieval technique for phase resolved pattern

10.12928/telkomnika.v14i1.2602
Eka Putra; University of Andalas Waldi , Aulia; University of Andalas Aulia , Ariadi; University of Andalas Hazmi , Hairul; University of Andalas Abral , Syukri; University of Andalas Arief , Mohd Hafizi; Institute of High Voltage and High Current Ahmad
The measurement of phase resolved partial discharge requires a gigantic memory capacity to store all the waves of the PD test results. This limitation eventually hinders the testing. It is necessary to optimize on the aspect of memory storage capability to reduce the storage requirements. In light of foregoing, the partial discharge data retrieval techniques with sampling rate methods were used to detect the peak of partial discharge as well as the PD constituent representatives. The optimization process was performed by using integration of oscilloscope and LabVIEW software. The partial discharge data recording can be easily confined to the points of the partial discharge occurrence only. As results, the storage points were reduced by taking wave magnitude associated with PD, thereby resulting in more representative data. Therefore, this optimized method was able to reduce the file size of the test results up to 97 percent of PD original size thereby decreasing the usage of hard disk storage.
Volume: 14
Issue: 1
Page: 21-28
Publish at: 2016-03-01

Research on Load Balancing in C-RAN with Femtocells

10.12928/telkomnika.v14i1.2358
Zhanjun Liu , Xia; Chongqing University of Posts and Telecommunication Peng , Yujing; Chongqing University of Posts and Telecommunication He , Qichao; Chongqing University of Posts and Telecommunication Ma
The traditional load balancing optimization scheme cannot guarantee the user’s QoS in the C-RAN wireless communication networks when all the neighboring macrocells are under the situation of overload. In order to resolve this problem, we implement the femtocell to the macrocell network, which considers the advantages of femtocell, i.e., small coverage, low cost and better signal quality. Therefore, in this paper, the joint load balancing mechanism is proposed to achieve the joint optimization of femtocell and macrocell network by allowing the users of overloaded macrocell to handover to the femtocell. Finally, the simulation results show that the proposed mechanism greatly improves the user satisfaction as well as the resource utilization rate of the femtocell network while decreases the blocking rate and dropping rate.
Volume: 14
Issue: 1
Page: 86-90
Publish at: 2016-03-01

Advanced Optimal for Power-Electronic Systems for the Grid Integration of Energy Sources

10.11591/ijeecs.v1.i3.pp543-555
Salam Waley Shneen
Renewable and clean energies like a photovoltaic (PV) energy and wind energy (WE), they can contribute in decreasing the electric energy cost. Energy storage is necessary in PV and WE hybrid system with the variable nature. A hybrid system (PV, WE and diesel), it uses the aim of minimizing the total cost and ensuring the energy available. In this paper, the modeling and cost analysis of a hybrid system (PV, WE and diesel) considering three types systems: First, diesel with a hybrid system. Second, diesel and battery with a hybrid system. Third, grid, battery and hybrid system. In comparison to all types, for cost analysis, a mathematical model have introduced for each type. There are two parts of this work. First by Homer software, it has been used to find the system feasibility and conduct the economic analysis. Second by Matlab simulation, this paper includes status of grid integration in one day through twenty four. The power generation by wind turbine, the change of wind speed which effect on values of power generation. The power generation by solar cell, the change of temperature and radiation which effect in values of power generation.
Volume: 1
Issue: 3
Page: 543-555
Publish at: 2016-03-01

Image Restoration Algorithm Based on Artificial Fish Swarm Micro Decomposition of Unknown Priori Pixel

10.12928/telkomnika.v14i1.2739
Dan; Wuhan University of Technology Sui , Fang; Anyang Normal University He
In this paper, we put forward a new method to holographic reconstruct image that prior information, module matching and edge structure information is unknown. The proposed image holographic restoration algorithm combines artificial fish swarm micro decomposition and brightness compensation. The traditional method uses subspace feature information of multidimensional search method, it is failed to achieve the fine structure information of image texture template matching and the effect is not well. Therefore, it is difficult to holographic reconstruct the unknown pixels. This weakness obstructs the application of image restoration to many fields. Therefore, we builds a structure texture conduction model for the priority determination of the block that to be repaired, then we use subspace feature information multidimensional search method to the confidence updates of unknown pixel. In order to maintain the continuity of damaged region in image, the artificial fish swarm algorithm decomposition model is combined with the image brightness compensation strategy of edge feature. The simulation result shows that it has a good visual effect in image restoration of a priori unknown pixel, recovery time and computation costs are less, the stability and convergence performance is improved.
Volume: 14
Issue: 1
Page: 187-194
Publish at: 2016-03-01

Optimization of Wireless Internet Pricing Scheme in Serving Multi QoS Network Using Various Attributes

10.12928/telkomnika.v14i1.2256
Irmeilyana; Universitas Sriwijaya Irmeilyana , Fitri Maya; Universitas Sriwijaya Puspita , Iffah; Universitas Sriwijaya Husniah
Pricing scheme in wireless networks were developed to provide maximum benefit to the internet service provider (ISP), where the given scheme can guarantee customer satisfaction and service providers who use such services. So that the proposed model should be able to attract consumer interest in applying such services. In this research we established wireless pricing model that involve QoS attributes then the model will be transformed into a model of optimization. Pricing models in wireless networks will be studied by looking at existing models as a nonlinear programming problem that can be solved optimally using LINGO 11.0. The solution is to maximize the total price for the connection based on the QoS parameters. Optimal results in the maximizing of pricing scheme is achieved when providers set the increase of price changes due to QoS changes and number of QoS value.
Volume: 14
Issue: 1
Page: 273-279
Publish at: 2016-03-01
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