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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,174 Documents
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Compared with PI, Fuzzy-PI and PSO-PI Controllers of Robotic Grinding Force Servo System Adnan Jabbar Attiya; Yang Wenyu; Salam Waley Shneen
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp65-74

Abstract

By grinding process, when an industrial robot is used to finish a curved surface, both feed movement and contact force must controlled at the similar time in order that the grinding tool would machine the work-piece at  the  right  position  in  right  posture with  required  force. A passive wrist system is advanced, in this paper, to conform the shape of the machining propeller by altering its posture along with the surface. The proportional-integral (PI) controller, due to its simplicity, robustness, and affordable price, is extremely often used in practical applications, but it is effective for linear systems, as well as, the challenging task is to find its optimal gains. If the processes involved higher order and time delay systems, many intelligent controllers were appeared. In this paper, to cope with nonlinearities, improve the controller parameters and at the same time modeling uncertainties of grinding marine propeller surface, a PI torque controller is proposed such that its optimal gains are derived via a modern systems based on fuzzy logic theory and particle swarm optimization algorithm which are used to solve various engineering problems. Grinding force is controlled under Fuzzy-PI controller which is being assembled and compared with a PSO-PI controller to obtain which controller that provides grinding with higher quality. The compared controllers have been optimized together with the parameters of the Two-Phase Hybrid Stepping Motor. The suggested fuzzy rule function and PSO algorithm improve the response of the controlled system and searches a high-quality solution impressively. Simulation and comparison results are presented and that the proposed control systems are coping well with nonlinearities and uncertainties while find PI control parameter set effectively, the PSO-PI controller has a better control performance with improved step response for robotic grinding force servo system. These control methods was simulated using MATLAB/SIMULINK.
Index Selection Preference and Weighting for Uncertain Network Sentiment Emergency Qiansheng Zhang; Fuchun Liu; Bailin Xie; Yirong Huang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

To more effectively cope with the network public sentiment emergency involved many interval-valued warning indexes, we present a new method of early warning index selection and weight assignment for uncertain network public sentiment emergency decision-making. By using a new interval fuzzy AHP, the interval weight of each early warning index of network public sentiment emergency can be obtained. Then by means of the weighted aggregation values of all the emergency warning indexes, we can rank the severity of every network public sentiment emergency and select the most severe one. Finally, a numerical example is given to illustrate the application of the proposed method of warning index selecting and weighting to uncertain network public sentiment emergency decision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1898
A New BP Neural Network Algorithm and Its Application in English Education Evaluation Yu Zhike
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

BP neural network algorithm is a non-linear optimal method and is a hot research field for its powerful simulation calculation ability in various disciplines in recent years, but the algorithm has some shortages such as low convergence which limited the application of the algorithm. The paper improves original BP neural network with immune genetic algorithm to speed up its calculation convergence and presents a new BP neural network algorithm for evaluating English education performance. Firstly, an indicator system for evaluating English education performance is constructed through four aspects of university, teacher, student and teaching effect; Secondly, immune genetic algorithm is used to improve standard BP neural network algorithm, in which the specific measures are taken to integrate BP neural network algorithm and immune genetic algorithm, and the calculation procedures of the improved algorithm is redesigned. Finally data from of three universities are taken for examples to verify the validity and feasibility of the improved algorithm and the experimental results indicate that the algorithm has favorable evaluation results in evaluation accuracy and calculation convergence. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2970
Ring oscillator physically unclonable function using sequential ring oscillator pairs for more challenge-response-pairs Julius Han Loong Teo; Noor Alia Nor Hashim; Azrul Ghazali; Fazrena Azlee Hamid
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp892-901

Abstract

The ring oscillator physically unclonable function (ROPUF) is one of the several types of PUF that has great potential to be used for security purposes. An alternative ROPUF design is proposed with two major differences. Firstly, the memristor is included in the ring oscillators as it is claimed to produce a more random oscillation frequency. Other reasons are its memory-like properties and variable memristance, relative compatibility with CMOS, and small size. Secondly, a different method of generating the response is implemented whereby a sequence of selection of ring oscillator pairs are used to generate a multiple bit response, rather than using only one ring oscillator pair to generate a single bit response. This method significantly expands the set of challenge-response pairs. The proposed memristor-based ROPUF shows 48.57%, 51.43%, and 51.43% for uniqueness, uniformity, and bit-aliasing, respectively. Also, modelling by support vector machine (SVM) on the proposed memristor-based ROPUF only shows 61.95% accuracy, thereby indicating strong resistance against SVM.
Cryptanalysis on Privacy-aware two-factor Authentication Protocol for Wireless Sensor Networks Younsung Choi
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp296-301

Abstract

Das first proposed two-factor authentication combining the smart card and password to resolve the security problems of wireless sensor networks (WSNs). After that, various researchers studied two-factor authentication suitable for WSNs. In user authentication protocols based on the symmetric key approach, a number of elliptic curve cryptography (ECC)-based authentication protocols have been proposed. To resolve the security and efficiency problems of ECC-based two-factor authentication protocols, Jiang et al. proposed a privacy-aware two-factor authentication protocol based on ECC for WSNs. However, this paper performs a vulnerability analysis on Jiang et al.’s authentication protocol and shows that it has security problems, such as a lack of mutual authentication, a risk of SID modification and DoS attacks, a lack of sensor anonymity, and weak ID anonymity.
The use of expert review in component development for customer satisfaction towards e-hailing Nur Athirah Nabila Mohd Idros; Hazura Mohamed; Ruzzakiah Jenal
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp347-356

Abstract

The emergence of e-hailing apps has increased the demand of customers because online transportation service is very convenient in this modern society. As e-hailing provides an online platform for booking a ride, this apps also functions to connect the customer and driver, while at the same time allowing the customers to interact with customer service that company has provided to keep track of the satisfaction. Competition among e-hailing companies has increased since customers nowadays are very influential and knowledgeable in terms of choosing any transportation services that they want. The purpose of this study is to identify customer satisfaction towards e-hailing by embedding value co-creation model. Value co-creation is one of the concepts in Service Science that has been proved to increase customer satisfaction. Value co-creation is focused on company-customer interaction that helps in maintaining a good customer relationship and improve the company’s performance. Expert identification and evaluation procedure are used as a technique to adapt the definition of value co-creation model towards e-hailing. Then, the other factor from previous studies will be proposed as a component to be listed under value co-creation model and reviewed by an expert.
Embedded System Application for Blind People Navigation Tool Wakhyu Dwiono; Siska Novita Posma; Arif Gunawan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6083-6087

Abstract

The stick for blindman navigational aid can only provide information about the presence of objects that being touched. This navigational aid stick can not provide more information such as object distance and the name of the place. To overcome this problem, we realized a navigational tool that can provide information about the distance of objects around the user and the name of the places where being passed. The existing objects are detected using three sets of ultra sonic sensors. These sensors emit ultrasonic signals, when the signal collide the obstacle, then will be reflected back and being received by these sensors too. The time lag between the transmitting and receiving signals then will be converted into the distance. RFID reader is used to read the presence or absence of tags around the RFID reader. Identity tag emits a signal that will be used to mark the place name. The results of measuring distance and sequence voice database recorder gives a good yield. Voice database recorder circuit works as well as the detection of RFID tags.
Features Extraction for Object Detection Based on Interest Point Amin Mohamed Ahsan; Dzulkifli Bin Mohamad
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In computer vision, object detection is an essential process for further processes such as object tracking, analyzing and so on. In the same context, extraction features play important role to detect the object correctly. In this paper we present a method to extract local features based on interest point which is used to detect key-points within an image, then, compute histogram of gradient (HOG) for the region surround that point. Proposed method used speed-up robust feature (SURF) method as interest point detector and exclude the descriptor. The new descriptor is computed by using HOG method. The proposed method got advantages of both mentioned methods. To evaluate the proposed method, we used well-known dataset which is Caltech101. The initial result is encouraging in spite of using a small data for training. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2508
Neural Network and Local Search to Solve Binary CSP Adil Bouhouch; Hamid Bennis; Chakir Loqman; Abderrahim El Qadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1319-1330

Abstract

Continuous Hopfield neural Network (CHN) is one of the effective approaches to solve Constrain Satisfaction Problems (CSPs). However, the main problem with CHN is that it can reach stabilisation with outputs in real values, which means an inconsistent solution or an incomplete assignment of CSP variables. In this paper, we propose a new hybrid approach combining CHN and min-conflict heuristic to mitigate these problems. The obtained results  show  an  improvement  in  terms  of  solution  quality,  either  our approach achieves feasible soluion with a high rate of convergence, furthermore, this approach can also enhance theperformance more than conventional CHN in some cases, particularly, when the network crashes.
DTC Method for Vector Control of 3-Phase Induction Motor under Open-Phase Fault M. Jannati; N. R. N. Idris; M. J. A. Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Three-phase Induction Motor (IM) drives are widely used in industrial equipments. One of the essential problems of 3-phase IM drives is their high speed and torque pulsation in the fault conditions. This paper shows Direct Torque Control (DTC) strategy for vector control of a 3-phase IM under open-circuit fault. The objective is to implement a solution for vector control of 3-phase IM drives which can be also used under open-phase fault. MATLAB simulations were carried out and performance analysis is presented. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.6910

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