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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,199 Documents
The Feasibility Study of Using Space Vector Modulation Inverters in Two-Level of Integrated Photovoltaic System Mahmoud Zadehbagheri; Amin Payedar
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper a system of integrated photovoltaic converter with vector switching control inverter with the modulation method of spatial two-level has been presented. The structure of the system is presented with the proposed and the structure of the invertors’ voltage source has been reviewed. Space vector modulation control method of two-level in a voltage source inverter and then provide proposed system analysis and keying modes are analyzed and the system designing and with the simulation of MATLAB software and standards of the total harmonic distortion for a few modulation methods for comparison, and evaluation has been proposed. The system has been analyzed in terms of economic. A prototype for assessing and comparing with power of 360w in the output with DC link voltage is 400 V and the module voltage is 46.5v has an efficiency of 97.9% in its output that improved than SPWM of 1.6% and to the PWM of 2.7% and Has been simulated with MATLAB software and compared to with a few examples of the control systems of the sinusoidal pulse width modulation and pulse width modulation. Speed and Switching and performance of the system have been analyzed and methods to reduce switching losses and increase of the system efficiency in the practical examples are proposed. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7414
Application of Wireless Sensor Network in Target Detection and Localization Hui Ding
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Wireless sensor network is a novel network with embedded system technology, communication technology and sensor technology as a whole, it is one of the wireless network form that is very rapid development at present, wireless sensor network has the characteristics of flexibility, adaptability, stable performance, wide coverage etc, so it is widely used in environmental monitoring, community security, military reconnaissance and other fields, the construction of target detection and location system in this paper are built by the application of wireless sensor network system platform, to realize the level of detection and localization of multiple targets. In this paper, wireless sensor network is first given a brief overview. On this basis, this paper also designs the target detection and location system, to presents a multi-objective hybrid location algorithm. Finally, the experiments verify that  DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3400
Video Defogging Based on Adaptive Tolerance Yu Linan; Piao Yan; Yan Xiaoyuan
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Dark channel prior is a kind of statistics of the haze-free outdoor images, which is widely used in image defogging. But when the image contains a large bright region, such as sky and white object, the prior will cause color distortion in these bright regions because of the underestimated transmission. To solve this problem, a video defogging technology based on adaptive tolerance is presented in this paper, and it is applied to video defogging by combining with the guided filter. First, the transmission of each video frame is estimated according to the dark channel prior, and then it is fast refined by the guided filter for restoration. If a large bright region exists in the video frame, the transmission of these regions will be corrected according to the adaptive tolerance, which avoids the color distortion in the video defogging. For the video of dynamic scenes which are caused by camera motion, each frame is defogged as a single image. But for the video of static scenes whose background is almost invariant, the transmission of the background is estimated and used for the defogging of all the frames instead of estimating the transmission of each frame. In this way, the rate of video defogging is greatly improved. Experimental results show that the algorithm has a strong applicability, and the proposed method can be further used for many applications, such as outdoor surveillance, remote sensing and intelligent vehicles. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1556
ARFMS: An AR-based WYSIWYG Filmmaking System Chen Ling; Wenjun Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper proposes a novel “What You See Is What You Get” filmmaking system, called as ARFMS. It provides users with a low cost and easy to use system to make movies. Users cannot only real-time visualize the performance with computer-generated objects, but also visual effects films will be finished without post-production. After finished the screenplay, the performance will be shot on-site using an ordinary camera. CG objects will be simply and effectively controlled by natural interaction. Then users can apply the DR-marker just like an actual scene element, because it takes the advantages of marker-based and markerless-based registration approaches. This paper implements ARFMS to achieve pre-visualization and real-time finish the film using augmented reality technology. The user can perform with the CG character and stage property just like real ones. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4582
Compare encryption performance across devices to ensure the security of the IOT A.YU. Pyrkova; ZH.E. Temirbekova
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp894-902

Abstract

The internet of things (IoT) combines many devices with various platforms, computing capabilities and functions. The heterogeneity of the network and the ubiquity of IoT devices place increased demands on security and privacy protection. Therefore, cryptographic mechanisms must be strong enough to meet these increased requirements, but at the same time they must be effective enough to be implemented on devices with disabilities. One of the limited devices are microcontrollers and smart cards. This paper presents the performance and memory limitations of modern cryptographic primitives and schemes on various types of devices that can be used in IoT. In this article, we provide a detailed assessment of the performance of the most commonly used cryptographic algorithms on devices with disabilities that often appear on IoT networks. We relied on the most popular open source microcontroller development platform, on the mbed platform. To provide a data protection function, we use cryptography asymmetric fully homomorphic encryption in the binary ring and symmetric cryptography AES 128 bit. In addition, we compared run-time encryption and decryption on a personal computer (PC) with Windows 7, the bluetooth low energy (BLE) Nano Kit microcontroller, the BLE Nano 1.5, and the smartcard ML3-36k-R1.
Short term load forecast of Kano zone using artificial intelligent techniques Huzaimu Lawal Imam; M.S Gaya; G. S. M Galadanci
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp562-567

Abstract

Load forecast provides useful information for effective electricity dispatch, planning for future expansion and significantly enhances operational efficiency. Conventional techniques yield unsatisfactory forecast which results in high energy losses and in turn leads to high operational cost and suppressed electricity demand. This paper presents hybrid neuro fuzzy (HNF) and Nonlinear Auto-Regressive with eXogeneous input (NARX) neural network for the short term load prediction of Kano region Nigeria.  Simulation results obtained demonstrated the generalization capabilities of the models in predicting the load accurately well by achieving MAPE of 0.025% and 0.6551% for the HNF model and NARX network model respectively. The models could serve as promising tool for predicting Kano Zone load demand.
Design and Realization of Teaching Demonstration System Based on .Net Ailian Wang; Jinfei Ma; Yueming Qin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to realize the systematic planning for teaching demonstration, this article proposed a teaching demonstration system based on .Net. The system adopted the techniques of Windows forms and serialization, Windows tree controls and the type and level of algorithm, component interface, advanced realization of windows graphics device interface, graphics drawing application programming interface, object link embedded, platform/assembly technology based on SOA, and was applied successfully in the development of the project, providing an effective method for informatization teaching. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2381
Finite Element Analysis of a Contactless Power Transformer with Metamaterial Lan Jian Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Wireless power transfer technologies enable power transfer to loads through air. The contactless power transformer is a key element of it. In this work, a new transformer with metamaterial is proposed, through which the power transfer distance increases. The electromagnetic properties about metamaterial are discussed at first. Then, the finite element analyses of this transformer are presented as well. The magnetic field distributions and the computational results show that this type of transformer can enlarge the power transfer range of a wireless power transfer system.DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3221
Solving multi-objective master production schedule problem using memetic algorithm Shireen S. Sadiq; Adnan Mohsin Abdulazeez; Habibollah Haron
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp938-945

Abstract

A master production schedule (MPS) need find a good, perhaps optimal, plan for maximize service levels while minimizing inventory and resource usage. However, these are conflicting objectives and a tradeoff to reach acceptable values must be made. Therefore, several techniques have been proposed to perform optimization on production planning problems based on, for instance, linear and non-linear programming, dynamic-lot sizing and meta-heuristics. In particular, several meta- heuristics have been successfully used to solve MPS problems such as genetic algorithms (GA) and simulated annealing (SA). This paper proposes a memetic algorithm to solve multi-objective master production schedule (MOMPS). The proposed memetic algorithm combines the evolutionary operations of MA (such as mutation and Crossover) with local search operators (swap operator and inverse movement operator) to improve the solutions of MA and increase the diversity of the population). This algorithm has proved its efficiency in solving MOMPS problems compared with the genetic algorithm and simulated annealing. The results clearly showed the ability of the algorithm to evaluate properly how much, when and where extra capacities (overtime) are permitted so that the inventory can be lowered without influencing the level of service. 
Indirect Flux-Oriented Control of Faulty Single-Phase Induction Motors M. Jannati; N. R. N. Idris; M. J. A. Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7167-7175

Abstract

Most types of electrical machines such as Induction Motors (IMs) can be modeled by an equivalent 2-phase machine (d-q model). For instance a single-phase IM with two main and auxiliary windings can be modeled as an equivalent 2-phase IM. Also a faulty single-phase IM (single-phase IM under open-phase fault) can be modeled as an unbalanced 2-phase IM. This study confirms this concept by modeling a single-phase IM with one of its stator phases, open. In addition the study shows that the vector control of this faulty IM can be performed by some modifications in the vector control of healthy IM (the proposed vector control in this paper is based on Indirect Flux-Oriented Control (IFOC)). MATLAB simulation results show the good performance of the proposed technique.

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