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27,404 Article Results

Power Quality Analysis of Integration Photovoltaic Generator to Three Phase Grid under Variable Solar Irradiance Level

10.12928/telkomnika.v14i1.3298
Amirullah; Electrical Engineering Department, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember Surabaya Indonesia, Electrical Engineering Study Program, Engineering Faculty, University of Bhayangkara Surabaya, Amirullah , Ontoseno; Electrical Engineering Department, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember Surabaya Indonesia Penangsang , Adi; Electrical Engineering Department, Industrial Technology Faculty, Institut Teknologi Sepuluh Nopember Surabaya Indonesia Soeprijanto
Objective of research is to analyze the influence of solar irradiance and integration of  photovoltaic (PV) generator to power quality of three phase grid on the constant temperature and load, based on changes in some level of integration of  PV generator. Power quality aspects studied are fluctuation or changing, and harmonics of voltage and current on eight scenarios PV generator connected to three-phase grid, using passive filter circuit model double band pass (double tuned). Research shows that voltage and current values on the PCC bus before use double tuned passive filter on the condition only connect single generator is still stable. However, if the PV generator connected to the three phase grid, amounted to more than one generation, voltage and current grid becomes unstable (fluctuation). At the level of solar radiation remains, the greater number of PV generators connected to the grid three-phase, then the values of voltage and current THD increases. At the level of solar irradiance increases, average THD of voltage and current grid also increased. Avarage THD of voltage and current grid is reduced after double tuned passive filter installed. Therefore, double tuned passive filter able to improve profile of voltage and current THD grid as a result of the integration of a number of PV power generators in three-phase grid according IEEE Standard 519-1992. Simulation and analysis of this research use Matlab/Simulink. 
Volume: 14
Issue: 1
Page: 29-38
Publish at: 2016-03-01

Improving the Channel Utilization of Basic Safety Message in VANETs with Superposition Coded Modulation

10.12928/telkomnika.v14i1.1355
Xiang; Tongji University Li , Chao; Tongji University Wang , Fuqiang; Tongji University Liu , Xiaobo; Huaqiao University Yin
In this paper, we propose a broadcast scheme to effectively utilize the scarce and shared wireless medium for vehicular ad-hoc networks (VANETs). By using superposition coded modulation (SCM), information elements that comprise basic safety messages (BSMs) were delivered with different service qualities determined by real-time traffic situations. The optimal power allocation strategy and achievable performance gain of the proposed method were first theoretically analyzed. To apply the proposed method into practice, the hierarchical quadrature amplitude modulation technology was then employed to implement the proposed SCM-based broadcast scheme for VANETs. To evaluate the performance of the proposed method in real-time traffic environments, a joint traffic-communication simulation was further conducted. Results agree that the proposed method extends the coverage of the BSM broadcast while maintaining an acceptable communication reliability to meet the requirement of driving safety.
Volume: 14
Issue: 1
Page: 72-81
Publish at: 2016-03-01

Volterra Series identification Based on State Transition Algorithm with Orthogonal Transformation

10.12928/telkomnika.v14i1.2663
Cong; Xinjiang University Wang , Hong-Li; Xinjiang University Zhang , Wen-hui; Tsinghua University Fan
A Volterra kernel identification method based on state transition algorithm with orthogonal transformation (called OTSTA) was proposed to solve the hard problem in identifying Volterra kernels of nonlinear systems. Firstly, the population with chaotic sequences was initialized by using chaotic strategy. Then the orthogonal transformation was used to finish the mutation operator of the selected individual. OTSTA was used on the identification of Volterra series, and compared with particle swarm optimization (called PSO) and state transition algorithm (STA). The simulation results showed that OTSTA has better identification precision and convergence than PSO and STA under non-noise interference. And when there is noise, the identification precision, convergence and anti-interference of OTSTA are also superior to PSO and STA.
Volume: 14
Issue: 1
Page: 171-180
Publish at: 2016-03-01

Optimized Merge Sort on Modern Commodity Multi-core CPUs

10.12928/telkomnika.v14i1.2741
Ming; Wuhan University Xu , Xianbin; Wuhan University Xu , MengJia; Wuhan University Yin , Fang; Huazhong Agricultural University Zheng
Sorting is a kind of widely used basic algorithms. As the high performance computing devices are increasingly common, more and more modern commodity machines have the capability of parallel concurrent computing. A new implementation of sorting algorithms is proposed to harness the power of newer SIMD operations and multi-core computing provided by modern CPUs. The algorithm is hybrid by optimized bitonic sorting network and multi-way merge. New SIMD instructions provided by modern CPUs are used in the bitonic network implementation, which adopted a different method to arrange data so that the number of SIMD operations is reduced. Balanced binary trees are used in multi-way merge, which is also different with former implementations. Efforts are also paid on minimizing data moving in memory since merge sort is a kind of memory-bound application. The performance evaluation shows that the proposed algorithm is twice as fast as the sort function in C++ standard library when only single thread is used. It also outperforms radix sort implemented in Boost library.
Volume: 14
Issue: 1
Page: 309-318
Publish at: 2016-03-01

Elucidation of Various PWM techniques for a Modified Multilevel Inverter

10.11591/ijeecs.v1.i3.pp512-522
C.R. Balamurugan , S.P. Natarajan , R. Bensraj
This paper focuses on hybrid H-bridge cascaded MLI using two equal dc sources in order to produce a five-level output. The proposed topology reduces the number of dc sources and switching elements. This paper emphasis on various Inverted Sine Carrier PWM (ISCPWM) techniques with equal amplitude and unequal amplitude carriers. The Inverted Sine Carrier Pulse Width Modulation (ISCPWM) technique enhances the fundamental output voltage particularly at lower modulation index ranges with reduction in Total Harmonic Distortion (THD) and switching losses. Simulation is performed using MATLAB-SIMULINK. From the simulation it is observed that Variable Amplitude Inverted Sine Carrier Variable Frequency (VAISCVF) strategy provides output with relatively low distortion for all strategies. It is also seen that Variable Amplitude Inverted Sine Carrier Phase Disposition (VAISCPD) is found to perform better for all strategies since it provides relatively higher fundamental RMS output voltage.
Volume: 1
Issue: 3
Page: 512-522
Publish at: 2016-03-01

The Analyses on Dynamic and Dedicated Resource Allocation on Xen Server

10.12928/telkomnika.v14i1.2321
Mardhani; Universitas Gadjah Mada Riasetiawan , Ahmad; Universitas Gadjah Mada Ashari , Irwan; Universitas Gadjah Mada Endrayanto
Data center today challenges is not only serve the users, in same time need to establish scalable resources. Data Center manage the resources such as processor, storage, network, and memory in appropriate way to handle to load. In the big data era, load will increase and come in rapid way with large volume data, many type of data, can be stream and batch data, and unknown sources. Resources need to manage with comprehensive strategies to face the characteristic of big data load. Data Center have capabilties on allocate the reosource in dynamic and dedicated ways. The research investigate in the performance of dedycated and dynamic resource allocation to define the reliable strategies on Data Center. The research work on XenServer platform as Data Center. The research define 18 Virtual Machiens both on dedicated and dynamic strategies, use the shared storage mechanism, and resource pools. The research analyze on CPU performances on XenServer1 and XenServer2 that design as cluster Data Center.The test has run on XenServer and resulting the 2 phase of process when Data Center allocate the resources, there are intiation phase and process phase. The research shown that in the intiation phase both dynamic and dedicated strategies still not running, and use the initial resources to establish Data Center. The process phase shown that dynamic and dedicated strategies run and generating the load process. In the process phase it shown the use of memory and CPU Performance stream line into the balance positions. The research result can use for allocating resources is need to define different strategies in initition and process phase.
Volume: 14
Issue: 1
Page: 280-285
Publish at: 2016-03-01

Mobile-based Expert System for Selecting Broiler Farm Location Using PostGIS

10.12928/telkomnika.v14i1.2903
Arif Kurnia; IT For Natural Resources Management, IPB Wijayanto , Kudang Boro; Department of Mechanical and Biosystem Engineering, Bogor Agricultural University (IPB) Seminar , Rudi; Department of Animal Production and Technology, Bogor Agricultural University (IPB) Afnan
Massive development of broiler farms has led to many socio-environmental problems. Based on idea that broiler farm must be located at suitable location, an expert system for site selection based on the socio-environmental factors and sustainable principles is urgently needed to cope with this problem. The objective of this research was to develop a mobile-based expert system as a guidance for broiler farmers to choose best location for broiler farm. There were four factors considered in the system: 1) ecology and environmental impact, 2) economic and infrastructure, 3) natural condition, and 4) natural disaster vulnerability, each of which consists of sub-factors. A mobile-based expert system has been developed by using opensource web GIS server and PostgreSQL/PostGIS, and can be installed on Android device. As conclusion, a mobile-based expert system has been developed and can be used to determine suitable location for broiler farm development.
Volume: 14
Issue: 1
Page: 360-367
Publish at: 2016-03-01

State Feedback Linearization of a Non-linear Permanent Magnet Synchronous Motor Drive

10.11591/ijeecs.v1.i3.pp534-542
Pilla Ramana , Karlapudy Alice Mary , Munagala Surya Kalavathi
Control system design for inverter fed drives previously used the classical transfer function approach for single-input singleoutput (SISO) systems. Proportional plus Integral (PI) controllers were designed for individual control loops.It is found that the transient response of a PI controller is slow and is improved by pole placement through state feedback. However, the effective gains of the PI controller are substantially decreased as a function of the increase of motor speed. A control system is generally characterized by the hierarchy of the control loops, where the outer loop controls the inner loops. The inner loops are designed to execute progressively faster. The speed controller (PI controller) processes the speed error and generates the reference torque. In the inner loop, firstly a non-linear controller is designed for the system by which the system nonlinearity is canceled using state or exact feedback linearization. In addition, a linear state feedback control law based on pole placement technique including the integral of output error (IOE) is used in order to achieve zero steady state error with respect to reference current specification, while at the same time improving the dynamic response.The proposed scheme has been validated through extensive simulation using MATLAB.
Volume: 1
Issue: 3
Page: 534-542
Publish at: 2016-03-01

Underwater Channel Characterization to Design Wireless Sensor Network by Bellhop

10.12928/telkomnika.v14i1.2454
Nima; Universiti Teknologi Malaysia Bahrami , Nor Hisham Haji; Universiti Teknologi Malaysia Khamis , Ameruddin; Universiti Teknologi Malaysia Baharom , Azli; Universiti Teknologi Malaysia Yahya
Acoustic underwater link due to low attenuation is employed for underwater sensor network (UWSN). Due to water changing physical properties and different environmental conditions, the sound propagation for every underwater channel are different. So, the most important parameters to design reliable UWSN are: the shadow zone determination, optimum nodes placement, high signal to noise ratio and more power efficiency of nodes. This paper simulates underwater channel for 7 KHz carrier frequency, with measured physical water properties and remote sensing data. Based on defined scenario, the research determines optimum nodes placement and link budget analysis based on bottom to surface acoustic link. The paper utilizes Bellhop acoustic toolbox as a simulator, GeoMapApp program to collects bathymetry data and Aviso+ database to determine wind speed on sea surface. As a result the paper based on simulation of sound propagation in channel and transmission loss determination in depth and range, finds the optimum nodes positions and link budget calculation to prove the results.
Volume: 14
Issue: 1
Page: 110-118
Publish at: 2016-03-01

An Autonomic Optimization Model of Multi-Layered Dependability for Intelligent Internet of things

10.12928/telkomnika.v14i1.2745
Zheng; Henan University of Science and Technology Ruijuan , Zhang; Henan University of Science and Technology Mingchuan , Wu; Henan University of Science and Technology Qingtao , Li; Henan University of Science and Technology Ying , Wei; Henan University of Science and Technology Wangyang , Bai; Henan University of Science and Technology Xiuling
Accompanying with the speeding up of Internet of things (IOT) construction, the dependability problems become the important factors constraining its all-round development. Based on the multi-level and multidimensional properties of IOT dependability elements, with the overall improving of the dependability index of IOT as the ultimate goal, the dependability elements of the local fine-tuning in each layer, this paper researches the change rule of internal dependability elements in perception layer, network layer and business layer, and adopts perception layer as the example, using the method of linear programming to seek the best proportion of all kinds of dependability elements and the optimal values of the elements, trying to construct a feasible autonomic optimization model for dependability elements of IOT system. Firstly, according to the function features and dependability properties of each layer, and change rules between the dependability index and dependability elements in each layer are analyzed. Secondly, based on the dynamic changes (up or down) of dependability elements in internal environment (that is, three layers in IOT), the ratio relations of dependability elements in each layer are dynamically controlled and adjusted to implement the local optimization, improving the overall autonomic configuration and autonomic adjusting ability of IOT system. At last, example analysis results show that the optimization model proposed in this paper can realize the substantial optimization in each layer of IOT.
Volume: 14
Issue: 1
Page: 326-334
Publish at: 2016-03-01

Stemming Influence on Similarity Detection of Abstract Written in Indonesia

10.12928/telkomnika.v14i1.1926
Tari; Universitas Gadjah Mada Mardiana , Teguh; Universitas Gadjah Mada Bharata Adji , Indriana; Universitas Gadjah Mada Hidayah
In this paper we would like to discuss about stemming effect by using Nazief and Adriani algorithm against similarity detection result of Indonesian written abstract. The contents of the publication abstract similarity detection can be used as an early indication of whether or not the act of plagiarism in a writing. Mostly in processing the text adding a pre-process, one of it which is called a stemming by changing the word into the root word in order to maximize the searching process. The result of stemming process will be changed as a certain word n-gram set then applied an analysis of similarity using Fingerprint Matching to perform similarity matching between text. Based on the F1-score which used to balance the precision and recall number, the detection that implements stemming and stopword removal has a better result in detecting similarity between the text with an average is 42%. It is higher comparing to the similarity detection by using only stemming process (31%) or the one that was done without involving the text pre-process (34%) while applying the bigram.
Volume: 14
Issue: 1
Page: 219-227
Publish at: 2016-03-01

Location and Position Determination Algorithm For Humanoid Soccer Robot

10.12928/telkomnika.v14i1.2710
Oei Kurniawan; Satya Wacana Christian University Utomo , Daniel; Satya Wacana Christian University Santoso , Saptadi; Satya Wacana Christian University Nugroho
The algorithm of location and position determination was designed for humanoid soccer robot. The robots have to be able to control the ball effectively on the field of Indonesian Robot Soccer Competition which has a size of 900 cm x 600 cm. The algorithm of location and position determination uses parameters, such as the goalpost’s thickness, the compass value, and the robot’s head servo value. The goalpost’s thickness is detected using The Centre of Gravity method. The width of the goalpost detected is analyzed using the principles of camera geometry to determine the distance between the robot and the goalpost. The tangent value of head servo’s tilt angle is used to determine the distance between the robot and the ball. The distance between robot-goalpost and the distance between robot-ball are processed with the difference of head servo’s pan angle and compass value using trigonometric formulas to determine the coordinates of the robot and the ball in the Cartesian coordinates.
Volume: 14
Issue: 1
Page: 4-13
Publish at: 2016-03-01

Determining Process Model Using Time-Based Process Mining and Control-Flow Pattern

10.12928/telkomnika.v14i1.3257
Riyanarto; Institut Teknologi Sepuluh Nopember Sarno , Widyasari Ayu; Institut Teknologi Sepuluh Nopember Wibowo , Kartini; Institut Teknologi Sepuluh Nopember Kartini , Yutika; Institut Teknologi Sepuluh Nopember Amelia , Kelly; Institut Teknologi Sepuluh Nopember Rossa
Determining right model of business process from event log is the purpose of process discovery. However some problems i.e the inability to discover OR, noise and event log incompleteness are emmerged while determining right model of business process. First, OR relation is often discovered as AND relation. Second, noise problem is occured when there are truncated and low frequency traces in event log. Thus control-flow pattern is used to solve issues of same noise relation frequency hence it discovers relation based on transaction function of activity. Consequently, it can refine non noise relation in business process model. Third, incompleteness leads to incorrect discovery of parallel process model; therefore we used Timed-based Process Mining which utilized non-linear dependence to solve the incompleteness. Finally this paper proposed combination of Timed-based Process Mining and control-flow pattern to discover OR and handle same frequency noise and incompleteness. From the experiment in section 3, this proposed method manages to get right process model from event log.
Volume: 14
Issue: 1
Page: 349-360
Publish at: 2016-03-01

Demosaicing of Color Images by Accurate Estimation of Luminance

10.12928/telkomnika.v14i1.2634
V.N.V.; Rajeev Gandhi Memorial College of Engineering and Technology Satya Prakash , K. Satya; Jawaharlal Nehru Technological University, Kakinada Prasad , T. Jaya; Rajeev Gandhi Memorial College of Engineering and Technology Chandra Prasad
Digital cameras acquire color images using a single sensor with Color filter Arrays. A single color component per pixel is acquired using color filter arrays and the remaining two components are obtained using demosaicing techniques. The conventional demosaicing techniques existent induce artifacts in resultant images effecting reconstruction quality. To overcome this drawback a frequency based demosaicing technique is proposed. The luminance and chrominance components extracted from the frequency domain of the image are interpolated to produce intermediate demosaiced images. A novel Neural Network Based Image Reconstruction Algorithm is applied to the intermediate demosaiced image to obtain resultant demosaiced images. The results presented in the paper prove the proposed demosaicing technique exhibits the best performance and is applicable to a wide variety of images.
Volume: 14
Issue: 1
Page: 47-55
Publish at: 2016-03-01

Research on Particle Filter Based on Neural Network for Receiver Autonomous Integrity Monitoring

10.12928/telkomnika.v14i1.2359
Ershen; Shenyang Aerospace University Wang , Qing; Shenyang Aerospace University Zhang , Tao; Shenyang Aerospace University Pang , Qu; Shenyang Aerospace University Pingping , Xingkai; Shenyang Aerospace University Li
This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index.According to the measurement noise feature of GPS receiver and the degeneracy phenomenon of particle filter (PF), in order to alleviate the sample impoverishment problem for PF, GPS receiver autonomous integrity monitoring (RAIM) algorithm based on PF algorithm combining neural network was proposed, which was used to improve the importance state adjustment of particle filter algorithm. The PF algorithm based on neural network is analized. And the test statistic of satellite fault detection is set up. The satellite fault detection is undertaken by checking the cumulative log-likelihood ratio (LLR) of system state of GPS receiver.The proposed algorithm was Validated by the measured real raw data from GPS receiver, which are deliberately contaminated with the bias fault and ramp fault, the simulation results demonstrate that the proposed algorithm can accurately estimate the state of GPS receiver in the case of non-Gaussian measurement noise, effectively detect and isolate fault satellite by establishing log-likelihood ratio statistic for consistency test and improve the accuracy of detection performance.
Volume: 14
Issue: 1
Page: 203-210
Publish at: 2016-03-01
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