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30,735 Article Results

GENCO Optimal Bidding Strategy and Profit based Unit Commitment using Evolutionary Particle Swarm Optimization Illustrating the Effect of GENCO Market Power

10.11591/ijece.v8i4.pp1997-2013
Adline Bikeri , Christopher Muriithi , Peter Kihato
In deregulated electricity markets, generation companies (GENCOs) make unit commitment (UC) decisions based on a profit maximization objective in what is termed profit based unit commitment (PBUC). PBUC is done for the GENCOs demand which is a summation of its bilateral demand and allocations from the spot energy market. While the bilateral demand is known, allocations from the spot energy market depend on the GENCOs bidding strategy. A GENCO thus requires an optimal bidding strategy (OBS) which when combined with a PBUC approach would maximize operating profits. In this paper, a solution of the combined OBS-PBUC problem is presented. An evolutionary particle swarm optimization (EPSO) algorithm is implemented for solving the optimization problem. Simulation results carried out for a test power system with GENCOs of differing market strengths show that the optimal bidding strategy depends on the GENCOs market power. Larger GENCOs with significant market power would typically bid higher to raise market clearing prices while smaller GENCOs would typically bid lower to capture a larger portion of the spot market demand. It is also illustrated that the proposed EPSO algorithm has a better performance in terms of solution quality than the classical PSO algorithm.
Volume: 8
Issue: 4
Page: 1997-2013
Publish at: 2018-08-01

An Efficient Schema of a Special Permutation Inside of Each Pixel of an Image for its Encryption

10.11591/ijeecs.v11.i2.pp496-503
Hana Ali-Pacha , Naima Hadj-Said , Adda Ali-Pacha , Mustafa Mamat , Mohamad Afendee Mohamed
The developments of communications and digital transmissions have pushed the data encryption to grow quickly to protect the information, against any hacking or digital plagiarisms. Many encryption algorithms are available on the Internet, but it's still illegal to use a number of them. Therefore, the search for new the encryption algorithms is still current. In this work, we will provide a preprocessing of the securisation of the data, which will significantly enhance the crypto-systems. Firstly, we divide the pixel into two blocks of 4 bits, a left block that contains the most significant bit and another a right block which contains the least significant bits and to permute them mutually. Then make another permutation for each of group. This pretreatment is very effective, it is fast and is easy to implement and, only consumes little resource.
Volume: 11
Issue: 2
Page: 496-503
Publish at: 2018-08-01

The Improvement of first Iteration Log Periodic Fractal Koch Antenna with Slot Implementation

10.11591/ijece.v8i4.pp2564-2570
N. S. M. Yaziz , M. K. A. Rahim , F. Zubir , N. S. Nadzir , R. Dewan , H. A. Majid
In this paper, a slotted is introduced at each of the radiating elements on the 1st iteration log periodic fractal Koch antenna (LPFKA). The antenna is designed to testify the appropriate performance at UHF Digital television which operates from 4.0 GHz to 1.0 GHz. The dimension of the conventional 0th iteration LPKFA is successfully reduced by 17% with the implementation of slotted. The results show a good agreement with a stable radiation pattern across the operating bandwidth, stable gain more than 5 dBi and reflection coefficient of below -10 dB over the desired frequency range.
Volume: 8
Issue: 4
Page: 2564-2570
Publish at: 2018-08-01

Mobile Application for Electric Power Monitoring on Energy Consumptions at a Campus University

10.11591/ijeecs.v11.i2.pp637-644
Murizah Kassim , Maisarah Abdul Rahman , Cik Ku Haroswati Che Ku Yahya , Azlina Idris
This paper presents a research on electric power monitoring prototype mobile applications development on energy consumptions in a university campus. Electric power energy consumptions always are the issue of monitoring usage especially in a broad environment. University campus faces high used of electric power, thus crucial analysis on cause of the usage is needed. This research aims to analyses electric power usage in a university campus where implemented of few smart meters is installed to monitor five main buildings in a campus university. A Monitoring system is established in collecting electric power usage from the smart meters. Data from the smart meter then is analyzed based on energy consume on 5 buildings. Results presents graph on the power energy consume and presented on mobile applications using Live Code coding. The methodology involved the setup of the smart meters, monitoring and data collected from main smart meters, analyzed electrical consumptions for 5 buildings and mobile system development to monitor. A Live Code mobile app is designed then data collected from smart meter using ION software is published in graphs. Results presents the energy consumed for 5 building during day and night. Details on maximum and minimum energy consumption presented that show load of energy used in the campus. Result present Tower 1 saved most eenergy at night which is 65% compared to block 3 which is 8% saved energy although block 3 presents the lowest energy consumption in the working hours and non-working hours. This project is significant that can help campus facility to monitor electric power used thus able to control possible results in future implementations.
Volume: 11
Issue: 2
Page: 637-644
Publish at: 2018-08-01

An Integrated Cross Layer Design to Enhance the Quality of Service of Video Streaming in Mobile Adhoc Networks

10.11591/ijict.v7i2.pp57-62
N. Gomathi , M. Uvaneshwari
The intent of this paper is to put forth a novel technique for improvising the QoS of multimedia applications in by using Modified dynamic mapping algorithm and Multipath transport(MPT) and Multi Description Coding(MDC). The improvement is attained by applying the MDC at application layer along with UDPLite in transport layer and multipath at network layer and Modified dynamic mapping in MAC Layer.Thismethod attains an increase of 30.84% in Peak Signal to Noise Ratio (PSNR) and 18.57% decrease in delay in contrast to the conventional methods.
Volume: 7
Issue: 2
Page: 57-62
Publish at: 2018-08-01

Ship Speed Estimation using Wireless Sensor Networks: Three and Five Sensors Formulation

10.12928/telkomnika.v16i4.7596
Ajib Setyo; Universitas Indonesia Arifin , Dina Kusuma; Universitas Indonesia Wahyuni , Muhammad; Universitas Indonesia Suryanegara , Muhammad; Universitas Indonesia Asvial
Intrusion detection on the sea is an important surveillance problem for harbor protection, border security, and commercial facilities such as oil platforms, fisheries facilities and other marine wealth. Widely used methods for ship detection are using radar or satellite which is very expensive. Besides the high cost, the satellite image is easy affected by the cloud. And it is difficult to detect small boats or ships on the sea with marine radar due to the noise or clutters generated by the uneven sea surface. In this paper, we propose ship speed estimation by taking advantage of ship-generated wave’s characteristics with Wireless Sensor Network (WSN). We use a grid fashion for sensor node deployment that can be clustered into three and five sensors. We propose the ship speed formulation for each type of claster. We use three sensors, we may expect to improve energy efficiency by involving small number of sensor for detection. We use five sensors, we may expect to improve accuracy of detection. We also propose an algorithm for detection by incorporating individual sensor detection. The individual sensor detection produces a time stamp that records the ship-generated waves intruding the sensors.
Volume: 16
Issue: 4
Page: 1527-1534
Publish at: 2018-08-01

High PV Penetration Impact on European-based LV Residential Network

10.12928/telkomnika.v16i4.9056
Kyairul Azmi; Universiti Teknikal Malaysia Melaka Baharin , Nur Aliah; Universiti Teknikal Malaysia Melaka Isa , Chin Kim; Universiti Teknikal Malaysia Melaka Gan , Meysam; Universiti Teknikal Malaysia Melaka Shamshiri
The impact of high PV penetration into the grid particularly at the distribution side has been extensively studied. However, most of the available research focuses on North American style systems. This project aims to investigate the effect of high PV penetration at a residential area in a European-based distribution network, which is electricity supply system Malaysia is based on. The modeling is done using OpenDSS while the network model used is the IEEE European Low Voltage Test Feeder which consists of 55 loads representing a generic housing area. Each load point is then equipped with a 4 kW PV system-representing a typical size for a house installation. PV output variability is then introduced into the modeling using two sample days of actual irradiance variability obtained from UTeM Malaysia; one for clear day and another for a high variability day. Voltage unbalance, voltage rise and reverse power flow were analyzed. One significant finding of this project is that voltage rise exceeds the standard of 1.05 pu during noon. Besides that, the high variability days significantly affect the mitigation measures required to manage reverse power flow.
Volume: 16
Issue: 4
Page: 1375-1382
Publish at: 2018-08-01

Semi-Supervised Keyphrase Extraction on Scientific Article using Fact-based Sentiment

10.12928/telkomnika.v16i4.5473
Felix Christian; Maranatha Christian University Jonathan , Oscar; Maranatha Christian University Karnalim
Most scientific publishers encourage authors to provide keyphrases on their published article. Hence, the need to automatize keyphrase extraction is increased. However, it is not a trivial task considering keyphrase characteristics may overlap with the non-keyphrase’s. To date, the accuracy of automatic keyphrase extraction approaches is still considerably low. In response to such gap, this paper proposes two contributions. First, a feature called fact-based sentiment is proposed. It is expected to strengthen keyphrase characteristics since, according to manual observation, most keyphrases are mentioned in neutral-to-positive sentiment. Second, a combination of supervised and unsupervised approach is proposed to take the benefits of both approaches. It will enable automatic hidden pattern detection while keeping candidate importance comparable to each other. According to evaluation, fact-based sentiment is quite effective for representing keyphraseness and semi-supervised approach is considerably effective to extract keyphrases from scientific articles.
Volume: 16
Issue: 4
Page: 1771-1778
Publish at: 2018-08-01

Deep Learning for Tuning Optical Beamforming Networks

10.12928/telkomnika.v16i4.8176
Herminarto; Universitas Pertamina Nugroho , Wahyu Kunto; Universitas Pertamina Wibowo , Aulia Rahma; Universitas Pertamina Annisa , Hanny Megawati; Universitas Pertamina Rosalinda
In communication between planes and satellites, Optical Beamforming Networks (OBFNs), which rely on many small and flat Phased Array Antennas (PAAs), need to be tuned in order to receive signals from specific angles. In this paper, we develop a deep neural network representation of tuning OBFNs. The problem of tuning an OBFN is in many aspects similar to training a deep neural network. We present a way to exploit the special structure of OBFNs into deep neural network and an algorithm for tuning OBFNs based on feedback that can be easily measured in real system. Training data, which consists of full signals, can be measured, and therefore is used in this paper. For pilot signals, the desired signal is known explicitly. Given the configuration of OBFNs and all nominal parameters required, it was verified in simulation that the deep neural network can be used to tune large scale OBFNs for any desired delays.
Volume: 16
Issue: 4
Page: 1607-1615
Publish at: 2018-08-01

Path Tracking on Autonomous Vehicle for Severe Maneuvre

10.12928/telkomnika.v16i4.9068
Zulkarnain; Universiti Teknologi Malaysia Zulkarnain , Hairi; Universiti Teknologi Malaysia Zamzuri , M. H. M.; Universiti Teknologi Malaysia Ariff , Umar Zakir Abdul; Universiti Teknologi Malaysia Hamid
Autonomous vehicle consists self-learning process consists recognizing environment, real time localization, path planning and motion tracking control. Path tracking is an important aspect on autonomous vehicle. The main purpose path tracking is the autonomous vehicle have an ability to follow the predefined path with zero steady state error. The non-linearity of the vehicle dynamic cause some difficulties in path tracking problems. This paper proposes a path tracking control for autonomous vehicle. The controller consists of a relationship between lateral error, longitudinal velocity, the heading error and the reference yaw rate. In addition, the yaw rate controller developed based on the vehicle and tyre model. The effectiveness of the proposed controller is demonstrated by a simulation.
Volume: 16
Issue: 4
Page: 1583-1589
Publish at: 2018-08-01

Significance of Speech Intelligibility Assessors in Medium Classroom Using Analytical Hierarchy Process

10.12928/telkomnika.v16i4.9043
Mokhtar; Universiti Teknologi Malaysia Skudai Harun , Khairunnisa Mohd; Universiti Teknologi Malaysia Skudai Yusof , Mohamad Ngasri; Universiti Teknologi Malaysia Skudai Dimon , Puspa Inayat; Universiti Teknologi Malaysia Skudai Khalid , Siti Zaleha; Universiti Teknologi Malaysia Skudai Abdul Hamid
When there are constraints on the resources-equipment, manpower and time-to conduct speech intelligibility tests, the most reliable or significant SI assessor for many different types of rooms is always sought for. The purpose of this study was to determine the most significant speech intelligibility assessor in four medium classrooms. The speech intelligibility assessors tested were RT60, C50, D50, and STIPA. The data were acquired by means of sound recorder that recorded six Malay words spoken by a trained male speaker, in four medium classrooms.The recorded speech signals were analyzed by DIRAC software. The data of four speech intelligibility assessors have to be normalized before it can be analyzed by AHP. In conclusion, C50 has shown the most consistent prediction of speech intelligibility in all sampled classrooms. On the other hand, as the room gets larger, RT60 becomes significant for determining speech intelligibility in these sampled classrooms.
Volume: 16
Issue: 4
Page: 1673-1678
Publish at: 2018-08-01

Design and Experimental Results of Universal Electric Vehicle Charger Using DSP

10.12928/telkomnika.v16i4.7308
Ali Saadon; Universiti Putra Malaysia Al-Ogaili , Ishak bin Aris; Universiti Putra Malaysia Aris , Mohammed Lutfi; Universiti Putra Malaysia Othman , Norhafiz; Universiti Putra Malaysia Azis , Dino; Universiti Putra Malaysia Isa , Yap; Universiti Putra Malaysia Hoon
Owing to the growing concerns over energy depletion and environmental issues around the world, more and more attention is given on replacing the fuel-based automobiles with electric vehicles (EVs) which have the characteristics of zero-emission and low noise. As a result, various countries have taken specific initiatives to de-carbonize their transport sectors by developing their own EV industry. Regardless of the environmental and economic benefits, substantial scales of grid-connected EVs impose incredible difficulties to the power grid. The main issues caused by EV charging to the power grid include harmonics, voltage drop, system instability, system losses and grid overloading. Therefore, this paper presents design and development of a novel method, which is by applying voltage-oriented control (VOC) algorithm in battery charging of electric bus.The power system of this work consists of three-phase PWM rectifier. The proposed method is based on mathematical analysis. Simulation and experimental works are performed to investigate behavior and performance of the proposed algorithm. This paperclearly described implementation of low and medium power laboratory prototype and operation of digital signal processor (DSP) via MATLAB / Simulink for the proposed method.
Volume: 16
Issue: 4
Page: 1435-1444
Publish at: 2018-08-01

The Development of Javanese Language Teaching Materials Through Introduction of Java Scripts Using Artificial Neural Network

10.12928/telkomnika.v16i4.8465
Siswo; Universitas Sultan Ageng Tirtayasa wardoyo , Kuntari; Universitas Sultan Ageng Tirtayasa W. , Anggoro S.; Universitas Sultan Ageng Tirtayasa Pramudyo , Suhendar; Universitas Sultan Ageng Tirtayasa Suhendar , Syarif; SMA Muhammadiyah 3 Yogyakarta Hidayat
The Java script is a traditional Indonesian scripts known as Hanacaraka or Carakan. Java script becomes less desirable students who have not been introduced by Master to students using interesting digital media. Javanese language teachers in teaching activities do not yet have interactive learning media in making Java script. This research aims to develop digital media recognition Java script using artificial neural network back propagation method as a teaching material of Java language. The sample of research used is basic java script which consist of 20 characters. The method of extraction properties used is Fast Fourier Transform, which is sampled horizontally and vertically. The result of this research showed FFT and ANN can be made of interactive learning media. The effectiveness of system with sensitivity value of 0,046 - 0,085, specification value 0,023 - 0,052, and system reliability is 59,5%. Validation value system that has been built for pattern recognition Java script on the training process is 100%, the testing process with the data -3o rotation, -1o, +1o, +3o reaches 100%, for a rotation -5o testing data, and +5° is 80%, testing of handwritten data is 65%, the test data +10o rotation is 25%, the test with the data translation is 5%, and for testing with the data and the data of rotation +90° zoom in (view) is 0%.
Volume: 16
Issue: 4
Page: 1697-1703
Publish at: 2018-08-01

Implementation of Artificial Neural Network Controller for Double-Input Boost Converter

10.11591/ijeecs.v11.i2.pp784-790
Yonis. M. Buswig , Al-Khalid bin Hj Othman , Norhuzaimin bin Julai , Sim Sy Yi , W. M. Utomo , A.J.M.S. Lim
This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems.
Volume: 11
Issue: 2
Page: 784-790
Publish at: 2018-08-01

Meander bowtie Antenna for Wearable Application

10.12928/telkomnika.v16i4.9061
N.; Universiti Teknologi Malaysia Othman , N. A.; Universiti Teknologi Malaysia Samsuri , M. K. A.; Universiti Teknologi Malaysia Rahim , K.; Universiti Teknologi Malaysia Kamardin , H. A.; Universiti Tun Hussein Onn Malaysia Majid
This paper proposes a flexible compact bowtie antenna for medical application that operates at 2.45 GHz. The proposed antennas are miniaturized using meander technique. Both substrates and conducting material of the antenna are made of flexible material semi-transparent film as the substrate and shieldit fabric as the conducting material which suitable for wearable and on body application. The results show that the total length of the antenna is significantly reduced by up to 38%. However, the gain of the antenna is slightly decreased when the size of the antenna become smaller. The results of this research could provide guidance and has significant implication for future development of wearable electronics especially in medical monitoring application.
Volume: 16
Issue: 4
Page: 1522-1526
Publish at: 2018-08-01
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