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27,404 Article Results

Telemonitoring Temperature and Humidity at Bio-energy Process using Smart Phones

10.12928/telkomnika.v14i2.3498
Seno Darmawan; Department of Electrical Engineering, Tanjungpura University Panjaitan , Novianda; PT. Well Harvest Winning Alumina Refinery Fratama , Aryanto; Department of Electrical Engineering, Tanjungpura University Hartoyo , Rudi; Department of Electrical Engineering, Tanjungpura University Kurnianto
Bio-energy from biogas can be produced through anaerobic digestion of either organic solid waste or wastewater. Energy production process in the digester is however sometimes hard to be monitored due to manual measurement, otherwise it needs a high technology requiring a high cost budget. This paper presents a low cost technology to monitor the process by using Android based smart phones which can easily be integrated in human daily activity. A program was built by using Eclipse in order to give send/receive command to/from the hardware and display the measurement data on the registered smart phones. The measurement controller was put at the anaerobic digester to record temperature and Relative Humidity (RH) data to memory card and to transmit the data to smart phones. In the experiment with 20 data samples, mean errors were repectively -0.317 oC, 0.932 oC, and 1,378 % for temperature sensor LM35, and temperature and RH sensor using SHT11. Mean squared error for LM35 was 0.373 oC and for SHT11 was 1.117 oC and 2.629 % for temperature and RH respectively. The system has been also implemented in the real anaerobic digester. Electrical energy consumption was 0.623 Wh with 30 minutes cycle time and one minute sampling time.
Volume: 14
Issue: 2
Page: 762-771
Publish at: 2016-06-01

Using STATCOM with Energy Storage to Enhance the Stability of AC-DC Hybrid System

10.12928/telkomnika.v14i2.2372
Zheng; Wuhan University Xu , Ding; Wuhan University Jianyong , Li; Huazhong University of Science and Technology Mei , Zhao; Huazhong University of Science and Technology Shuang , Zeng; Huazhong University of Science and Technology Ni , Zhu; Huazhong University of Science and Technology Ruoxi , Zhang; Huazhong University of Science and Technology Buhan , Mao; Huazhong University of Science and Technology Chengxiong
UHVDC has been rapidly developed for its large conveying capacity, small net loss and easy power control, which can solve the problem of the uneven distribution of load and energy with great economy. However, with DC transmission access, the power system must have a strong ability of reactive power support to cope with the possibility of transient voltage problem. At the same time, regional power oscillation issue also can’t be ignored. Considering that the STATCOM device, as a type of parallel FACTS, can only provide dynamic reactive power to support the system voltage and cannot undertake active regulation and control to damp system power oscillation problem, STATCOM with energy storage is presented in this paper to solve both problem of transient voltage and power oscillation in AC-DC hybrid system. In view of the central China province power grid planning, possible serious faults of the system were analyzed. The simulation results show that STATCOM with energy storage cannot only effectively support the system transient voltage and promote voltage of dc inverter station to avoid DC block caused by commutation failure, but also can significantly enhance the system damping and restrain regional power oscillation in case of system failure.
Volume: 14
Issue: 2
Page: 423-430
Publish at: 2016-06-01

A Self-adaptive Multipeak Artificial Immune Genetic Algorithm

10.12928/telkomnika.v14i2.2753
Qingzhao; Suzhou University Li , Fei; Suzhou University Jiang
Genetic algorithm is a global probability search algorithm developed by simulating the biological natural selection and genetic evolution mechanism and it has excellent global search ability, however, in practical applications, premature convergence occurs easily in the genetic algorithm. This paper proposes an self-adaptive multi-peak immune genetic algorithm (SMIGA) and this algorithm integrates immunity thought in the biology immune system into the evolutionary process of genetic algorithm, uses self-adaptive dynamic vaccination and provides a downtime criterion, the selection strategy of immune vaccine and the construction method of immune operators so as to promote the population develop towards the optimization trend and suppress the degeneracy phenomenon in the optimization by using the feature information in a selective and purposive manner. The simulation experiment shows that the method of this paper can better solve the optimization problem of multi-peak functions, realize global optimum search, overcome the prematurity problem of the antibody population and improve the effectiveness and robustness of optimization.
Volume: 14
Issue: 2
Page: 647-654
Publish at: 2016-06-01

H-WEMA: A New Approach of Double Exponential Smoothing Method

10.12928/telkomnika.v14i2.3096
Seng; Universitas Multimedia Nusantara Hansun , Subanar; Universitas Gadjah Mada Subanar
A popular smoothing technique commonly used in time series analysis is double exponential smoothing. Basically, it’s an improvement of simple exponential smoothing which does the exponential filter process twice. Many researchers had developed the technique, hence Brown’s double exponential smoothing and Holt’s double exponential smoothing. Here, we introduce a new approach of double exponential smoothing, called H-WEMA, which combines the calculation of weighting factor in weighted moving average with Holt’s double exponential smoothing method. The proposed method will then be tested on Jakarta Stock Exchange (JKSE) composite index data. The accuracy and robustness level of the proposed method will then be examined by using mean square error and mean absolute percentage error criteria, and be compared to other conventional methods.
Volume: 14
Issue: 2
Page: 772-777
Publish at: 2016-06-01

A Review on LSB Substitution and PVD Based Image Steganography Techniques

10.11591/ijeecs.v2.i3.pp712-719
Aditya Kumar Sahu , Gandharba Swain
There has been a tremendous growth in Information and Communication technologies during the last decade. Internet has become the dominant media for data communication. But the secrecy of the data is to be taken care. Steganography is a technique for achieving secrecy for the data communicated in Internet. This paper presents a review of the steganography techniques based on least significant bit (LSB) substitution and pixel value differencing (PVD). The various techniques proposed in the literature are discussed and possible comparison is done along with their respective merits. The comparison parameters considered are, (i) hiding capacity, (ii) distortion measure, (iii) security, and (iv) computational complexity.
Volume: 2
Issue: 3
Page: 712-719
Publish at: 2016-06-01

Identification of Tuna and Mackerel based on DNA Barcodes using Support Vector Machine

10.12928/telkomnika.v14i2.2469
Mulyati; Bogor Agricultural University Mulyati , Wisnu Ananta; Bogor Agricultural University Kusuma , Mala; Bogor Agricultural University Nurilmala
Tuna and mackerel are important fish in Indonesia that have great demand in the community and contain good nutrients for health. Many of the processed products have been faked including processed fish, by replacing the content of products that have high sales value to other lower price one. For ensuring food safety, fraudulent should be prevented by identifying the content of refined product. In this research, we implemented support vector machine (SVM), one of the popular methods in machine learning, to yield a model for identifying the content of refined product based on DNA barcode sequences. The feature extraction of DNA barcode Sequences was conducted by calculating k-mers frequency of each sequences. In this study, we used trinucleotide (3-mers) and tetranucleotide (4-mers). These features were inputted to SVM to classify and identify whether the DNA barcode sequences belong to the class of tuna, mackerel, or other fish. The evaluation results showed model SVM was able to perform identification with the accuracy 88%.
Volume: 14
Issue: 2
Page: 778-783
Publish at: 2016-06-01

Switch Configuration Effect on Stray Capacitance in Electrical Capacitance Volume Tomography Hardware

10.12928/telkomnika.v14i2.3328
Arba’i; University of Indonesia Yusuf , Harry; University of Indonesia Sudibyo S , Dodi; University of Indonesia Sudiana , Agus Santoso; University of Indonesia Tamsir , Imamul; Edwar Technology Co Muttakin , Wahyu; Edwar Technology Co Widada , Warsito; Edwar Technology Co P. Taruno
Electrical capacitance volume tomography (ECVT) system uses six switches in one channel with configuration resembling “T” letter, so it is called “T-switch”. The working scheme of the switch can be explained in four different modes of operation, i.e. excitation mode, detection mode, ground mode, and floating mode. This research describes the effect of switch configuration to stray capacitance in ECVT hardware. Stray capacitance introduces parasitic signal from other sources; one of them is signal from another electrode at floating mode when the signal is still flowing to detection circuit. One channel, two channels, three channels, so on until thirty-two channels are connected to single detection circuit sequentially to investigate the effect of stray capacitance. Both simulation and experiment show the stray capacitance increases along with addition of channel corresponds to 0.046pF for each channel.
Volume: 14
Issue: 2
Page: 456-463
Publish at: 2016-06-01

Multi-source and Multi-feature Image Information Fusion Based on Compressive Sensing

10.12928/telkomnika.v14i2.2748
Qingzhao; Suzhou University Li , Fei; Suzhou University Jiang
Image fusion is a comprehensive information processing technique and its purpose is to enhance the reliability of the image via the processing of the redundant data among multiple images, improve the image definition and information content through fusion of the complementary information of multiple images so as to obtain the information of the objective or the scene in a more accurate, reliable and comprehensive manner. This paper uses the sparse representation method of compressive sensing theory, proposes a multi-source and multi-feature image information fusion method based on compressive sensing in accordance with the features of image fusion, performs sparsification processing on the source image with K-SVD algorithm and OMP algorithm to transfer from spatial domain to frequency domain and decomposes into low-frequency part and high-frequency park. Then it fuses with different fusion rules and the experimental results prove that the method of this paper is better than the traditional methods and it can obtain better fusion effects.
Volume: 14
Issue: 2
Page: 607-612
Publish at: 2016-06-01

Performance Analysis of a VPV/FC Hybrid System for Generating Electricity in Iraq's Remote Areas

10.12928/telkomnika.v14i2.3749
Z.; Universitas Sriwijaya Nawawi , A.S.; Universiti Teknologi Malaysia Aziz , Z.; Universiti Teknologi Malaysia Buntat , M.A.B.; Universitas Sriwijaya Sidik , H.J.; Universiti Teknologi Malaysia Kareem , M.A.A.; Universiti Teknologi Malaysia Aziz , A.Z.; Universiti Teknologi Malaysia Abdulameer , M.I.; Universitas Sriwijaya Jambak , Y.Z.; Universiti Teknologi Malaysia Arief
A reliable electrical energy supply is a prerequisite for improving the standard economic and quality of life levels in a country. As is the case in many countries, Iraq is home to a collection of remote villages. Since it is uneconomical to connect these villages to the existing grid, the installation of stand-alone electrical power generators has become common practice. As a result, diesel stand-alone power generators see widespread use in these remote locales, which, whilst fit for their intended purpose, unfortunately suffer from several drawbacks, including instability in regards to everyday oil prices and a number of environmental issues. The implementation of a PV/FC hybrid power system could be one potential alternative to help solve these problems. Therefore, this paper will present PV/FC system control strategies alongside information relating to the performance of such system components, based on a case study that was conducted in Al-Gowair, Iraq. This study is especially important in terms of envisioning the future energy supply needs of Iraq. The HOMER simulation results showed that by using the proposed control strategies and suggested components of a PV/FC system, it was able to produce a satisfactory outcome.
Volume: 14
Issue: 2
Page: 411-422
Publish at: 2016-06-01

Data analysis for image transmitted using Discrete Wavelet Transform and Vector Quantization compression

10.12928/telkomnika.v14i2.2947
Mustapha; Tahri Mohammed University Khelifi , Abdelmounaim; Tahri Mohammed University Moulay Lakhdar , Iman; Tahri Mohammed University Elawady
In this paper we are going to study the effect of channel noise in image compressed with vector quantization and discrete wavelet transform. The objective of this study is to analyze and understand the way that the noise attack transmitted data by doing lot of tests like dividing the indices in different levels according to discrete wavelet transform and dividing  each level in frames of bits. The collected information well helps us to propose solutions to make the received image more resistible to the channel noise also to benefit from the good representation obtained by using vector quantization and discrete wavelet transform.
Volume: 14
Issue: 2
Page: 523-530
Publish at: 2016-06-01

Load Balancing Techniques for Efficient Traffic Management in Cloud Environment

10.11591/ijece.v6i3.pp963-973
Talasila Sasidhar , Vani Havisha , Sai Koushik , Mani Deep , V Krishna Reddy
Cloud computing is an internet based computing. This computing paradigm has enhanced the use of network where the capability of one node can be utilized by other node. Cloud service provides access on demand to distributive resources such as database, servers, software, infrastructure etc. in pay as you go basis. Load balancing is one of the vexing issues in distributed environment. Resources of service provider need to balance the load of client request. Load balancing is adapted in order to increase the resource consumption in Data centers that leads to enhance the overall performance of system achieving client satisfaction.
Volume: 6
Issue: 3
Page: 963-973
Publish at: 2016-06-01

Breakdowns' Diagnosis of A New Character Three-Phase High Voltage Power Supply for Industrial Microwave Generators with N=2 Magnetrons per Phase

10.11591/ijece.v6i3.pp1248-1259
R. Batit , M. Chraygane , M. Ferfra , M. Fadel , A. Dsoul , B. Bahani
This paper treats the modelisation of a new three phase character high voltage supply (HV) for industrial microwave generators with N=2 magnetrons per phase. This alimentation is based on the presentation of an equivalent p circuit model of a newly dimensioned high voltage transformer. Each phase of the three phase system supplies two parallel cell voltage doublers and current stabilizer. Each of these cells in turn supplies one magnetron 800Watts / 2.45GHz. This power supply is a star connection of three identical models of the single-phase power for N=2 magnetrons. The simulation under EMTP (Electro Magnetic Transients Program) in nominal conditions allows concluding that theoretical results are adjacent to the experimental measurements. Furthermore, a failure study of six magnetron of the microwave generator is also processed. The results permit to observe that the interaction between magnetrons dosn’t influence the nominal operation of the system.
Volume: 6
Issue: 3
Page: 1248-1259
Publish at: 2016-06-01

Adaptive Particle Swarm Algorithm for Parameters Tuning of Fractional Order PID Controller

10.12928/telkomnika.v14i2.2370
Chaobo; Xi'an Technological University Chen , Li; Xi'an Technological University Hu , Lei; Xi'an Technological University Wang , Song; Xi'an Technological University Gao , Changhong; Northwest Institute of Mechanical & Electrical Engineering Li
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity indexIn order to optimize the parameters of fractional order PID controller of complex system, an adaptive particle swarm optimization (PSO) method is proposed to realize the parameters adjustment. In this algorithm, the tuning particle population is divided into three subgroups firstly, and through introducing the swarm-aggregation degree factor and the evolution speed factor of particle, dynamically adjusting the inertia weight and size of subgroups respectively, setting to find optimal objective according to the time-domain performance index of the system, and then the controller parameter tuning is realized by iterative calculation. Finally, adaptive particle swarm optimization method of fractional order PID controller is applied to integer order and fractional order of the controlled system for performance simulation in time domain analysis. The experimental results show that the proposed method could improve the performance of the control system and has strong anti-interference ability.
Volume: 14
Issue: 2
Page: 478-488
Publish at: 2016-06-01

Design a Optimum MPPT Controller for Solar Energy System

10.11591/ijeecs.v2.i3.pp545-553
F. R. Islam , K. Prakash , K. A. Mamun , A. Lallu , R. Mudliar
Solar energy is compared to be the best potential source of renewable energy in Pacific region. For this reason a photovoltaic cell is needed to harvest this kind of energy, gathering the most of it and the PV having a good efficiency.  The maximum efficiency is achieved when the PV works at its Maximum Power Point which entirely depends on the irradiation and temperature. This paper proposes a new design of hybrid Maximum Power Point Tracking and a comparative study is made with various existing MPPT techniques which include Perturb and Observe method, Incremental Conductance and Fuzzy Logic. From the comprehensive comparison study between existing MPPT technique and the proposed MPPT technique/theory, a hardware setup was demonstrated to verify the proposed design by charge controller in photovoltaic systems to which maximize the output power under various lighting conditions. The design is based on the computed results using the buck-boost DC-DC conveter. From the simulation, the proposed method tends to show better performance with almost no oscillations around the MPP.
Volume: 2
Issue: 3
Page: 545-553
Publish at: 2016-06-01

Low Complexity Sparse Channel Estimation Based on Compressed Sensing

10.12928/telkomnika.v14i2.3147
Fei; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Zhou , Yantao; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Su , Xinyue; Chongqing Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications Fan
In wireless communication, channel estimation is a key technology to receive signal precisely. Recently, a new method named compressed sensing (CS) has been proposed to estimate sparse channel, which improves spectrum efficiency greatly. However, it is difficult to realize it due to its high computational complexity. Although the proposed Orthogonal Matching Pursuit (OMP) can reduce the complexity of CS, the efficiency of OMP is still low because only one index is identified per iteration. Therefore, to solve this problem, more efficient schemes are proposed. At first, we apply Generalized Orthogonal Matching Pursuit (GOMP) to channel estimation, which lower computational complexity by selecting multiple indices in each iteration. Then a more effective scheme that selects indices by least squares (LS) method is proposed to significantly reduce the computational complexity, which is a modified method of GOMP. Simulation results and theoretical analysis show the effectivity of the proposed algorithms.
Volume: 14
Issue: 2
Page: 538-547
Publish at: 2016-06-01
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