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28,428 Article Results

Performance Evaluation of Cascaded Multilevel STATCOM using Hardware-in-the-Loop (HiL) Test based on Real-Time Digital Simulator (RTDS)

10.12928/telkomnika.v15i2.6325
Lihua; JinCheng College of Sichuan University Li , Lin; State Grid Sichuan Electric Power Research Institute Xu , Yang; University of Electronic Science and Technology of China Han
The cascaded H-bridge multilevel converter topology has been increasingly utilized for reactive power compensation purposes for the medium voltage distribution systems. The static synchronous compensators (STATCOMs) or static var generators (SVGs), are difficult to be tested in the field due to the unpredicted network operation conditons. This paper presents an effective method to test the STATCOM/SVG controllers based on the real-time digital simulator (RTDS), which has the benefit of easy implementation, low cost, online parameter tuning and high efficiency. The experimental results of STATCOM/SVG under steady state and dynamic conditions are presented to verify the proposed approach, which can be widely applied in other grid-interfaced power electronic converters and smart grid applications.
Volume: 15
Issue: 2
Page: 549-553
Publish at: 2017-06-01

Determining Electrical Properties of Different Type of Mineral Oil Mixtures

10.11591/ijeecs.v6.i3.pp544-552
Muhammad bin Yahya , Alan Jaynoe Caeser anak Tening
This paper is written to show comparison between the naphthenic mineral oil with namely olive oil and sunflower oil in the context of voltage breakdown as insulating transformer oil. Olive oil is known to have been tested as alternative oil for transformer insulation and sunflower oil is a new oil being tested in this paper. The oils are mixed within certain ratios in order to determine the withstand breakdown voltages. The relationship of the breakdown voltages are also tied with the viscosity of the mixtures, and the mixture of oils are also exposed to ageing test and of tan-delta balancing test. All test follow IEC60156 standard test procedure for liquid insulation test. The mixtures were compared to the existing mineral oils and the findings will be discussed.
Volume: 6
Issue: 3
Page: 544-552
Publish at: 2017-06-01

Conceptual Model of Knowledge Management and Social Media to Support Learning Process in Higher Education Institution

10.12928/telkomnika.v15i2.3491
Tanty; Bina Nusantara University Oktavia , Harco Leslie Hendric Spits; Bina Nusantara University Warnars , Suroto; Bina Nusantara University Adi
Nowadays social media has tremendously transformed organizational business process of institution. Higher Education as a place with the majority generation Y, that advances to use technology should realize these situations. With this social media platform, institution may facilitate the knowledge transfer process, then to support collaborative learning from e-learning to social learning. Referring to this phenomenon, this research will design the integration of concepts of knowledge management and social media as a framework to identify the significant components and its relationship to support each other. In this research, we use a systematic literature review from journal and text book to construct this collaboration model. The outcome of this study is collaboration model of knowledge management and social media to support learning process in higher education institution.
Volume: 15
Issue: 2
Page: 678-685
Publish at: 2017-06-01

System Dynamic Approach for Long-Term Solar Thermal Installed Capacity for Malaysian Industries

10.11591/ijeecs.v6.i3.pp572-582
Anis Sabirin Baharom , Nofri Yenita Dahlan
This paper presents a novel System Dynamics model for solar thermal installed capacity for Malaysian Industries. The objective of this paper is to foresee the influences of technical acceptance and willingness of the Malaysian industries to install the solar thermal system to replace the current system for heating process. Results revealed the Malaysian industries interest level on solar thermal is low. Therefore to increase the interest, Malaysian industries need more booster supports from the government to increase the investment in new technology, which will advantage the company and Malaysia in long-term. Not only industries, the policy makers will also benefit from the outcome, to tailor the framework for solar thermal in developing the solar thermal policy for industries in Malaysia.
Volume: 6
Issue: 3
Page: 572-582
Publish at: 2017-06-01

A Unified Quality Control Model for E-Learning Systems

10.11591/ijece.v7i3.pp1355-1366
Khalid Hamed Allehaibi , Nasser Nammas Albaqami
Defining, measuring, and achieving quality of e-learning systems are not an easy task. Accordingly, one of the most essential goals for the higher educational institutes is how to reach a high and satisfied level of quality in their learning systems. Achieving such level needs adequate and continuous improvements for the whole e-learning environment elements. Therefore, we aim in our work to construct a unified framework for total quality management system (TQMS) that attempt to satisfy the quality requirements, needs, and standards. The objective of this paper is to present a quality control model for e-learning system that adopts the e-learning platform according to the on-line determination of both user's requirements and global standards. This paper proposed software architecture of quality Management framework for e-learning that could be adopted by different higher education institutes to control the quality of the e-learning process, and assure the quality of the e-learning process outcome. The proposed framework is based on a tri-dimensions quality model. The three dimensions are set of quality requirements for e-learning environment represented in Quality Assurance (QA) policies that will be formalized by using policy based approach, the specifications of e-learning platform that provide learning and teaching activities, and quality control process loop. The architecture for monitor and ensure quality control of the QA policies for e-learning system will deliver the whole learning services in an optimal way. It is also flexible and can be implemented over any e-learning system.
Volume: 7
Issue: 3
Page: 1355-1366
Publish at: 2017-06-01

Automatic Image Annotation Using CMRM with Scene Information

10.12928/telkomnika.v15i2.5160
Julian; University of Nusantara PGRI Kediri Sahertian , Saiful; Bandung Institute of Technology Akbar
Searching of digital images in a disorganized image collection is a challenging problem. One step of image searching is automatic image annotation. Automatic image annotation refers to the process of automatically assigning relevant text keywords to any given image, reflecting its content. In the past decade many automatic image annotation methods have been proposed and achieved promising result. However, annotation prediction from the methods is still far from accurate. To tackle this problem, in this paper we propose an automatic annotation method using relevance model and scene information. CMRM proposed by [5] is one of automatic image annotation method based on relevance model approach. CMRM method assumes that regions in an image can be described using a small vocabulary of blobs. Blobs are generated from segmentation, feature extraction, and clustering. Given a training set of images with annotations, this method predicts the probability of generating a word given the blobs in an image. To improve annotation prediction accuracy of CMRM, in this paper we utilize scene information incorporate with CMRM. Our proposed method is called scene-CMRM. Global image region can be represented by features which indicate type of scene shown in the image. Thus, annotation prediction of CMRM could be more accurate based on that scene type. Our experiments showed that, the methods provides prediction with better precision than CMRM does, where precision represents the percentage of words that is correctly predicted.
Volume: 15
Issue: 2
Page: 693-701
Publish at: 2017-06-01

Neural Network Controller for Power Electronics Circuits

10.11591/ijai.v6.i2.pp49-55
K.J. Rathi , M. S. Ali
Artificial Intelligence (AI) techniques, particularly the neural networks, are recently having significant impact on power electronics. This paper explores the perspective of neural network applications in the intelligent control for power electronics circuits. The Neural Network Controller (NNC) is designed to track the output voltage and to improve the performance of power electronics circuits. The controller is designed and simulated using MATLAB-SIMULINK
Volume: 6
Issue: 2
Page: 49-55
Publish at: 2017-06-01

A Novel Approach for Qualitative Imaging of Buried PEC Scatterers

10.12928/telkomnika.v15i2.5822
Martina Teresa; Università Mediterranea di Reggio Calabria, DIIES Bevacqua
A new linear approach for support reconstruction of impenetrable objects is described and tested in case of scattered field data collected in Ground Penetrating Radar measurement configuration. Starting from the considerations that in high conductivity scatterers the currents induced inside the scatterers are only localized on its boundary and that they take up only few pixels of the entire investigation domain, a sparsity promoting inversion technique is formulated. The flexibility of the approach allows to counteract the specific difficulty to work under “aspect limited” measurement configurations, as the one at hand. Examples with numerical noisy data are given to demonstrate and validate the effectiveness of the method in localizing and in retrieving the shape of the unknown objects buried in lossy soil.
Volume: 15
Issue: 2
Page: 622-627
Publish at: 2017-06-01

Predicting the Level of Emotion by Means of Indonesian Speech Signal

10.12928/telkomnika.v15i2.3965
Fergyanto E.; Bina Nusantara University Gunawan , Kanyadian; Bina Nusantara University Idananta
Understanding human emotion is of importance for developing better and facilitating smooth interpersonal relations. It becomes much more important because human thinking process and behavior are strongly influenced by the emotion. Align with these needs, an expert system that capable of predicting the emotion state would be useful for many practical applications. Based on a speech signal, the system has been widely developed for various languages. This study intends to evaluate to which extent Mel-Frequency Cepstral Coefficients (MFCC) features, besides Teager energy feature, derived from Indonesian speech signal relates to four emotional types: happy, sad, angry, and fear. The study utilizes empirical data of nearly 300 speech signals collected from four amateur actors and actresses speaking 15 prescribed Indonesian sentences. Using support vector machine classifier, the empirical findings suggest that the Teager energy, as well as the first coefficient of MFCCs, are a crucial feature and the prediction can achieve the accuracy level of 86%. The accuracy increases quickly with a few initial MFCC features. The fourth and more features have negligible effects on the accuracy.
Volume: 15
Issue: 2
Page: 665-670
Publish at: 2017-06-01

Adverse Impact of STATCOM on the Performance of Distance Relay

10.11591/ijeecs.v6.i3.pp528-536
Elhadi Emhemad Aker , Mohammad Lutfi Othman , Ishak Aris , Noor Izzri Abdul Wahab , Hashim Hizam , Osaji Emmanuel
FACTS devices like the Static synchronous Compensator (STATCOM), are mostly used to enhance the maximum power transfer capability of the transmission Line (TL) system. A Matlab simulation model of Distance Relay protection of TL, with connected STATCOM at the mid-point for optimum power transfer is presented. The STATCOM’s impact on the operation of the relay is assessed with the effects on the relay misoperation in the third zone of protection coverage, during fault conditions, in four different locations.The wrong measured fault impedance by relay resulted to misoperation in zone 3 (under reach phenomena). The simulation result indicates a slight increase in the measured impedance of 1.33 Ω over the actually expected impedance setting (72.02 Ω) of the relay at 220 km protection coverage of zone 3 along the TL. This variation is about 4 km distance outside the expected distance protection coverage for fault in zone 3 as proven.
Volume: 6
Issue: 3
Page: 528-536
Publish at: 2017-06-01

Peripheral Slits Microstrip Antenna Using Log Periodic Technique for Digital Television Broadcasting

10.12928/telkomnika.v15i2.6246
Indra; Trisakti Univeristy Surjati , Yuli; Trisakti Univeristy Kurnia Ningsih , Syah; Universitas 17 Agustus 1945 Jakarta Alam
This paper proposed a new design of log periodic microstrip antenna using peripheral slits for Digital Video Broadcasting applications in DKI Jakarta. Applying peripheral slits can be reduced the dimension of antenna up to 62.6% with its dimension 400 mm x 150 mm using 4 patches in different frequencies. The patches are one another connected using log periodic technique. The measurement results showed that the antenna was operating at frequency ranges of 450 MHz to800 MHz with impedance bandwidth of 350 MHz,VSWR ≤ 2 and return loss ≤ -10dB. The proposed antenna could receive 11 DVB stations with high definition quality pictureand only channel number 24, such as RCTI, Global TV and MNC TV can not reveive signals as expected.
Volume: 15
Issue: 2
Page: 628-635
Publish at: 2017-06-01

Application of Immune Log-Normal Evolutionary Programming in Distributed Generation Installation

10.11591/ijeecs.v6.i3.pp730-736
M. H. Mansor , I. Musirin , M. M. Othman , S. A. Shaaya , S. A. Syed Mustaffa
Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques.
Volume: 6
Issue: 3
Page: 730-736
Publish at: 2017-06-01

Progressive Mining of Sequential Patterns Based on Single Constraint

10.12928/telkomnika.v15i2.5098
Regina Yulia; Institut Teknologi Bandung Yasmin , Putri; Institut Teknologi Bandung Saptawati , Benhard; Institut Teknologi Bandung Sitohang
Data that were appeared in the order of time and stored in a sequence database can be processed to obtain sequential patterns. Sequential pattern mining is the process to obtain sequential patterns from database. However, large amount of data with a variety of data type and rapid data growth raise the scalability issue in data mining process. On the other hand, user needs to analyze data based on specific organizational needs. Therefore, constraint is used to impose limitation in the mining process. Constraint in sequential pattern mining can reduce the short and trivial sequential patterns so that the sequential patterns satisfy user needs. Progressive mining of sequential patterns, PISA, based on single constraint utilizes Period of Interest (POI) as predefined time frame set by user in progressive sequential tree. Single constraint checking in PISA utilizes the concept of anti monotonic or monotonic constraint. Therefore, the number of sequential patterns will decrease, the total execution time of mining process will decrease and as a result, the system scalability will be achieved.
Volume: 15
Issue: 2
Page: 709-717
Publish at: 2017-06-01

A Model and Algorithm of Dynamic Map Expression and Its Application

10.12928/telkomnika.v15i2.3906
Wan-wu; Geomatics College, Shandong University of Science and Technology Li , Lin; Geomatics College, Shandong University of Science and Technology Key Laboratory of Surveying and Mapping Technology on Island and Reef, National Administration of Surveying, Mapping and Geoinformation Liu , Xu-chen; Geomatics College, Shandong University of Science and Technology Wei , Jia-jing; Ocean University of China Li , Zhaohui; Shandong University of Science and Technology Liu
On the basis of summarizing the research results of visual variables, we define six dynamic visual variables of the map symbol in this paper. We analyze the related attributes of dynamic symbols, and then construct a dynamic map expression model based on symbols. A key technology to realize dynamic expression——the key frame transform algorithm is present in the paper. The cartography process of the urban population proportion dynamic change map of the cities in Shandong province are taken as an example to demonstrate the methods and process of dynamic mapping based on the above map dynamic expression theories and models, which includes base map digitization, sorting and processing of attribute data, adding the map elements, the creation of special dynamic effect such as color transform, continuous flashing and object moving, and realization of interactive function. Finally, the paper shows the dynamic map of sea level rising influence on Qingdao, the Typhoon Soulik traveling map, the Western European natural gas trade flow variation map, the Bangkok flood risk level dynamic map, and other dynamic map effect at the end of the article.
Volume: 15
Issue: 2
Page: 686-692
Publish at: 2017-06-01

Immunized-Evolutionary Algorithm Based Technique for Loss Control in Transmission System with Multi-Load Increment

10.11591/ijeecs.v6.i3.pp737-748
Sharifah Azwa Shaaya , Ismail Musirin , Shahril Irwan Sulaiman , Mohd Helmi Mansor
Loss issue is significant in power system since it affects the operation of power system, which ultimately can be translated to monetary effect. Incremental demand that explicitly adding the reactive load causes extra heating losses in the transmission circuit. Without appropriate remedial control, the temperature increase on transmission line cable would end with insulation failure. This phenomenon can be alleviated with a proper compensation scheme that provides optimal solution along with avoidance of under-compensation or over-compensation. Evolutionary Programming (EP) has been recognised as one of the powerful optimisation technique, applied in solving power system problems. Nevertheless, EP is an old technique that sometimes could reach to a settlement that is not fully satisfied. Thus, the need for a new approach to improve the setback is urgent. This paper presents immunized-evolutionary algorithm based technique for loss control in transmission system with multi-load increment. The classical EP was integrated with immune algorithm so as to reduce the computational burden experienced by the classical EP. The algorithm has been tested on a IEEE 12-Bus System and IEEE 14-Bus System. Comparative study was conducted between EP and IEP in terms of optimisation performance. The optimal size and location of PV determined by IEP was able to control the loss in transmission system when the load increases. Results obtained from the studies revealed the merit of the proposed IEP; indicating its feasibility for future implementation in practical system.
Volume: 6
Issue: 3
Page: 737-748
Publish at: 2017-06-01
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