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Indonesian Journal of Electrical Engineering and Informatics (IJEEI)

IJEEI
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Published by IAES Indonesia Section and Partners

ISSN : 20893272 EISSN : - DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Electrical & Electronics Engineering

Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.

Arjuna Subject : -

Articles 773 Documents

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Visualization for Information Retrieval in Regional Distributed Environment Amany Salama
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 1, No 4: December 2013
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v1i4.82

Information retrieval (IR) is the task of representing, storing, organizing, and offering access to information items. The problem for search engines is not only to find topic relevant results, but results consistent with the user’s information need. How to retrieve desired information from the Internet with high efficiency and good effectiveness is become the main concern of internet user-based. The interface of the systems does not help them to perceive the precision of these results. Speed, resources consuming, searching and retrieving process also aren't optimal. The search engine's aim is developing and improving the performance of information retrieval system and gifting the user whatever his culture' level. The proposed system is using information visualization for interface problems, and for improving other side of web IR system's problems, it uses the regional crawler on distributed search environment with conceptual query processing and enhanced vector space information retrieval model (VSM). It is an effective attempt to match renewal user's needs and get a better performance than ordinary system.

Determination of Coil Inductances Cylindrical Iron Nucleus Azeddine Mazouz; Djemai Hidjazi; Aziz Chaghi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 1: March 2014
Publisher : IAES Indonesian Section

The paper describes the investigation and development of a structure and performance characteristics of a coil iron nucleus cylindrical (C.I.N.C). The coil iron nucleus cylindrical is a nonlinear electro radio in which the moving of the nucleus in a sense or in other causes change in inductance and can reach extreme values at the superposition of nucleus and coil centers. The variation of the inductance and the degree of freedom of movement of the nucleus can lead to a device with electromechanical conversion The aim of this paper is the determination and visualization of self inductance and mutual of the (C.I.N.C) based on geometric dimensions and the displacement of the nucleus.

Backpropagation Neural Network Modeling for Fault Location in Transmission Line 150 kV Azriyenni Azriyenni; M.W. Mustafa; D.Y. Sukma; M.E. Dame
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 1: March 2014
Publisher : IAES Indonesian Section

In this topic research was provided about the backpropagation neural network to detect fault location in transmission line 150 kV between substation to substation. The distance relay is one of the good protective device and safety devices that often used on transmission line 150 kV. The disturbances in power system are used distance relay protection equipment in the transmission line. However, it needs more increasing large load and network systems are increasing complex. The protection system use the digital control, in order to avoid the error calculation of the distance relay impedance settings and spent time will be more efficient. Then backpropagation neural network is a computational model that uses the training process that can be used to solve the problem of work limitations of distance protection relays. The backpropagation neural network does not have limitations cause of the impedance range setting. If the output gives the wrong result, so the correct of the weights can be minimized and also the response of galat, the backpropagation neural network is expected to be closer to the correct value. In the end, backpropagation neural network modeling is expected to detect the fault location and identify operational output current circuit breaker was tripped it. The tests are performance with interconnected system 150 kV of Riau Region.

Fuzzy Control of Yaw and Roll Angles of a Simulated Helicopter Model Includes Articulated Manipulators Hossein Sadegh Lafmejani; Hassan Zarabadipour
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 1, No 4: December 2013
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v1i4.88

Fuzzy logic controller (FLC) is a heuristic method by If-Then Rules which resembles human intelligence and it is a good method for designing Non-linear control systems. In this paper, an arbitrary helicopter model includes articulated manipulators has been simulated with Matlab SimMechanics toolbox and then we designed a fuzzy controller for its yaw and roll angles when the manipulators are moving for a task. Results reveal that a simple FLC can control this complex system well.

An Interconnected Wind Driven SEIG System Using SVPWM Controlled TL Z-Source Inverter Strategy for Off-Shore WECS Ajin Sekhar CS; V. Raghavendrarajan; R. Hemantha Kumar; M. Sasikumar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 1, No 3: September 2013
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v1i3.89

This paper discuss about the interconnection of wind driven SEIG for drive applications by using TL Z-source inverter strategy .TL Z-source consists of two coupled inductors having turns ratio γTL and four diodes are used . The wind energy system uses a two Self Excited Induction generator (SEIG) connected parallel in order to increase the reliability. The proposed system components like wind turbine SEIG, rectifier, SVM Controlled TL Z-source inverter, are modeled by matlab Simulink. The maximum power can be extracted and supplied to the load efficiently by using TL Z-source inverter with a proper value of modulation index. The simulation output is analysed experimentally using 500 W experimental setup.

Adaptive Functional-Based Neuro-Fuzzy-PID Incremental Controller Structure Ashraf Ahmed Fahmy; Abdel Ghany Mohamed Abdel Ghany
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 1: March 2014
Publisher : IAES Indonesian Section

This paper presents an adaptive functional-based Neuro-fuzzy-PID incremental (NFPID) controller structure that can be tuned either offline or online according to required controller performance. First, differential membership functions are used to represent the fuzzy membership functions of the input-output space of the three term controller. Second, controller rules are generated based on the discrete proportional, derivative, and integral function for the fuzzy space. Finally, a fully differentiable fuzzy neural network is constructed to represent the developed controller for either offline or online controller parameter adaptation. Two different adaptation methods are used for controller tuning, offline method based on controller transient performance cost function optimization using Bees Algorithm, and online method based on tracking error minimization using back-propagation with momentum algorithm. The proposed control system was tested to show the validity of the controller structure over a fixed PID controller gains to control SCARA type robot arm.

Dynamic Value Engineering Method Optimizing the Risk on Real Time Operating System Prashant Kumar Patra; Padma Lochan Pradhan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

The value engineering is the umbrella of the many more sub-system like quality assurance, quality control, quality function design and development for manufacturability. The system engineering & value engineering is two part of the coin. The value engineering is the high level of technology management for every aspect of engineering fields. The value engineering is the high utilization of System Product (i.e. Processor, Memory & Encryption key), Services, Business and Resources at minimal cost. The high end operating system providing highest services at optimal cost & time. The value engineering provides the maximum performance, accountability, reliability, integrity and availability of processor, memory, encryption key and other inter dependency sub-components. The value engineering is the ratio of the maximum functionality of individual components to the optimal cost. VE=k [(P, M, E, C, A)]/optimal cost. Where k is the proportionality constant. The VE is directly proportional to performance of individual components and inversely proportional to the minimal cost. The VE is directly proportional to the risk assessment. The VE maximize the business throughput & decision process mean while minimize the risk and down time. We have to develop the dynamic value engineering model & mechanism for risk optimization over a complex real time operating system This proposed composition model definite will be resolve our objective at top high level. Product

Atmosphere Clouds Model Algorithm for Solving Optimal Reactive Power Dispatch Problem Lenin Kanagasabai; B.Ravindranath Reddy; M.Surya Kalavathi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

In this paper, a new method, called Atmosphere Clouds Model (ACM) algorithm, used for solving optimal reactive power dispatch problem. ACM stochastic optimization algorithm stimulated from the behavior of cloud in the natural earth. ACM replicate the generation behavior, shift behavior and extend behavior of cloud. The projected (ACM) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed algorithm in plummeting the real power loss.

Voltage Profile Enhancement and Reduction of Real Power loss by Hybrid Biogeography Based Artificial Bee Colony algorithm K. Lenin; B.Ravindranath Reddy
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

This paper presents Hybrid Biogeography algorithm for solving the multi-objective reactive power dispatch problem in a power system. Real Power Loss minimization and maximization of voltage stability margin are taken as the objectives. Artificial bee colony optimization (ABC) is quick and forceful algorithm for global optimization. Biogeography-Based Optimization (BBO) is a new-fangled biogeography inspired algorithm. It mainly utilizes the biogeography-based relocation operator to share the information among solutions. In this work, a hybrid algorithm with BBO and ABC is projected, and named as HBBABC (Hybrid Biogeography based Artificial Bee Colony Optimization), for the universal numerical optimization problem. HBBABC merge the searching behavior of ABC with that of BBO. Both the algorithms have different solution probing tendency like ABC have good exploration probing tendency while BBO have good exploitation probing tendency. HBBABC used to solve the reactive power dispatch problem and the proposed technique has been tested in standard IEEE30 bus test system.

A Survey on Topology Control and Maintenance in Wireless Sensor Networks Manish Singh
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 2, No 2: June 2014
Publisher : IAES Indonesian Section

Wireless Sensor Networks (WSNs) consist of devices equipped with radio transceivers that cooperate to form and maintain a fully connected network of sensor nodes. WSNs do not have a fixed infrastructure and do not use centralized methods for organization. This flexibility enables them to be used whenever a fixed infrastructure is unfeasible or inconvenient, hence making them attractive for numerous applications ranging from military, civil, industrial or health. Because of their unique structure, and limited energy storage, computational and memory resources, many of the existing protocols and algorithms designed for wired or wireless ad hoc networks cannot be directly used in WSNs. Beside this, they offer a flexible low cost solution to the problem of event monitoring, especially in places with limited accessibility or that represent danger to humans. Applications of large scale WSNs are becoming a reality example are being a Smart Grid, Machine to Machine communication networks and smart environment. It is expected that a topology control techniques will play an important role in managing the complexity of such highly complicated and distributed systems through self-organization capabilities. WSNs are made of resource constrained wireless devices, which require energy efficient mechanisms, algorithm/protocol. Control on topology is very important for efficient utilization of networks and is composed of two mechanisms, Topology Construction (TC) and Topology Maintenance (TM). By using these mechanism various protocols/algorithm have came into existence, like: A3, A3-Coverage (A3-Cov), Simple Tree, Just Tree, etc. This paper provides a full view of the studies of above mentioned algorithms and also provides an analysis of their merits and demerits.

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