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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
 495   496   497   498   499 
Automatic Border Alert System for Fishermen using GPS and GSM Techniques Karthik R; Ranjith S; Shreyas S; Pradeep Kumar K
Indonesian Journal of Electrical Engineering and Computer Science Vol 7, No 1: July 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v7.i1.pp84-89

Abstract

Countries with the International Marine time Boundary Line (IMBL) will always has security problems and continuous life threatens for those fishermen whose family’s main economical support is fishing. Even in the peninsular country like India has their boundary limit in the ocean, the people of these coastal regions has the main work of fishing, due to carelessness or without knowing their boundary limit of their country they crosses the borders. In such situation the lives of fishermen continued to be difficult. They may face bullets and attacks from opposite Navy, at the end of attack fishermen are being abducted and their boats are being captured. So our paper is designed to avoid such kind of accidents and to alert the fishermen about border area well before using latest technology of Global Positioning System (GPS) and Global System for Mobile communication (GSM). And also this paper shows how this technology can be used for detecting natural hazards and obtaining meteorological information of the ocean for the safe navigation of fishermen.
Optimal sizing of distributed generation using firefly algorithm and loss sensitivity for voltage stability improvement Zulkiffli Bin Abdul Hamid; Sylvester Jipinus; Ismail Musirin; Muhammad Murtadha Othman; Rahmatul Hidayah Salimin
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp720-727

Abstract

This paper proposes an optimization technique for distributed generation (DG) sizing in power system. The DG placement was done through Loss Sensitive (LS) technique to determine the suitable locations. The LS index is calculated such that the change in power losses is divided with generation increment and a rank of buses is obtained to identify the suitable locations for DG placement.  Subsequently, a meta-heuristic algorithm, known as Firefly Algorithm (FA) was run to obtain the optimal size or capacity of the DG. The installation takes into consideration the aspect of voltage stability in terms of total real power losses and voltage profiles to be improved in the distribution system. Based on the experiment, the real power losses and voltage profiles were improved significantly as a result of the DG placement. In addition, the installation could prevent the power system from collapse as the reactive loading was increased to maximum.
Polygraph Survey and Evaluation Based on Analytic Hierarchy Process Zhixia Jiang; Yibo Liu; Pinchao Meng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5585-5590

Abstract

The analytic hierarchy process (AHP) is a kind of combining quantitative analysis and qualitative analysis of comprehensive evaluation method. In modern personality test, lying is a common phenomenon. This paper combined with the actual survey results, using AHP to measure the process of empowerment, in fact is through the hierarchy model is set up as index system, the subjective indicators of two comparison and evaluation, through the judgment matrix to calculate the weight coefficient of every index. After through the consistency check, corresponding to hiring and personality assessment to empowerment in school keep file, in order to obtain better truth, accuracy, so as to realize are established for the big five personality test scores, to a certain extent, to avoid lying, better more authenticity of the test results.
Improving steering convergence in autonomous vehicle steering control Amir Ashraf Mohamad; Fadhlan Hafizhelmi Kamaru Zaman; Fazlina Ahmat Ruslan
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i1.pp279-285

Abstract

Steering control is a critical design element in autonomous vehicle development since it will determine whether the vehicle can navigate safely or not. For the prototype of UiTM Autonomous Vehicle 0 (UiTM AV0), Vexta motor is used to control the steering whereas Pulse Width Modulation (PWM) signal is responsible to drive the motor. However, by using PWM signal it is difficult to converge to the desired steering angle and furthermore time taken for steering angle to converge is much longer. Thus, Proportional Integral Derivative (PID) has been introduced in this autonomous vehicle steering controller to improve the convergence of the steering. Meanwhile a microcontroller was used to control the Vexta Motor direction and perform the calculation of the desired steering angle. Simulation results showed PID controller showed better time taken and preicison of successful convergence of the desired steering angle compared to the PWM controller.  Analysis results showed that PID controller significantly reduce the overshooting of steering angle and significantly improve the time taken for convergence by up to 37 seconds faster than PWM controller in UiTM AV0.
Magnetically Controlled Quantum Teleportation of Multiple Arbitrary States Using the Bloch Catalyst Moses Emetere
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Quantum teleportation is at its advanced research stage and has attracted more novel discoveries in recent time. The Bloch NMR was used to highlight the specification for the construction of a virtual Magnetic-Not (M-Not) gate to analyze a two trans-sectional multiple arbitrary states. A new version of quantum manipulation for entanglement and disentanglement of particles was introduced. A new quantity known as the particle filter was discovered. The particle-filter acts like a catalyst via the use of transverse and longitudinal relaxations to speed-up teleportation of single qubit state from the sender to the intermediary and then to the receiver. The efficiency of the M-Not gates to filter both noise and excited qubit state during teleportation was shown. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6437 
Optimized health parameters using PSO: a cost effective rfid based wearable gadget with less false alarm rate Talha Ahmed Khan; M. Junaid Tahir; Muhammad Alam; Kushsairy A. Kadir; Zeeshan Shahid
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp230-239

Abstract

The motive of contriving the proposed research was originated after recognizing some false alarm in measuring health parameters and practical issues in hospitals for example approachability and presence of patient at designated place for the evaluation of the health parameters like Blood pressure, sugar, body temperature, pulse and some other parameters.  The manual entry of the data into the systems have been become a critical problem. To vanquish this problem, a wearable gadget has been designed, so that a patient can carry it feasibly. Various approaches like Bayesian classifier has been applied to minimize the false alarm. Fuzzy logic, Kalman filtering, extended Kalman filtering, support vector machine, multi-layer perceptron, adaptive neuro fuzzy inference system and cuckoo search have been applied to eliminate the false alarm and give the best optimum solution. Results have proved that PSO worked betted as its convergence time is less than the others algorithms and produced best optimum value for the body vitals. Moreover, PSO has been applied to achieve the best optimal results and to increase the performance.  Monitoring of heart pulse rate and body temperature readings that were recorded in database were then tested and validated by comparing digital thermometer and digital inflator. PSO will converge and give the global best position of data by updating the velocity. Results proved that PSO produced better results by optimizing with better accuracy and precision and can be acknowledged as cost-effective solution.
Application of SPM to Detect the Wind Turbine Bearing Fault Ruifeng Yang; Jianshe Kang; Xinghui Zhang; Hongzhi Teng; Haiping Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

With the widespread application of wind turbines, the Maintenance issue gets growing concern. Bearings play a critical role in industrial applications. It is necessary to effectively monitor their health status. The shock pulse method (SPM) can detect the incipient fault of bearings and prevent the fault consequence effectively. However, many researchers used laboratory data to validate the SPM. This paper mainly concentrates on the SPM application on bearing fault detection of wind turbines. Shock pulse signals are derived from the gearbox of industrial wind turbine test rig by SPM instrument. According to frequency spectrum analysis, the bearing fault has been accurately detected and located. The analysis results demonstrate that the SPM technology is potentially effective for detecting the bearing faults of industrial wind turbines. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4122
Task Scheduling in Heterogeneous Multiprocessor Environments – An Efficient ACO-Based Approach Nekiesha Edward; Jeffrey Elcock
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp320-329

Abstract

In heterogeneous computing environments, finding optimized solutions continues to be one of the most important and yet, very challenging problems. Task scheduling in such environments is NP-hard, so efficient mapping of tasks to the processors remains one of the most critical issues to be tackled. For several types of applications, the task scheduling problem is crucial, and across the literature, a number of algorithms with several different approaches have been proposed. One such effective approach is known as Ant Colony Optimization (ACO). This popular optimization technique is inspired by the capabilities of ant colonies to find the shortest paths between their nests and food sources. Consequently, we propose an ACO-based algorithm, called rACS, as a solution to the task scheduling problem. Our algorithm utilizes pheromone and a priority-based heuristic, known as the upward rank value, as well as an insertion-based policy and a pheromone aging mechanism to guide the ants to high quality solutions. To evaluate the performance of our algorithm, we compared our algorithm with the ACS algorithm and the ACO-TMS algorithm using randomly generated directed acyclic graphs (DAGs). The simulation results indicated that our algorithm experienced comparable or even better performance, than the selected algorithms.
Job satisfaction evaluation based on fuzzy conjoint method with continuous fuzzy sets Nor Azni Shahari; Khairulanwar Rasmani
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp363-370

Abstract

Fuzzy conjoint method (FCM) is one of the available methods suggested for job satisfaction evaluation. The main feature of job satisfaction evaluation is the use of rating of agreement to indicate employee feelings and beliefs about their job. Currently the linguistic terms used for rating of agreement in FCM are represented in the form of discrete fuzzy sets.  This paper investigates the potential use of continuous fuzzy sets to represent linguistic terms used in the FCM process. To investigate the consistency of the decision outcomes produced by the proposed approach, four different types of fuzzy similarity measures were used: similarity based on Matching Function, similarity based on Euclidean Distance, similarity based on Set-Theoretic and similarity based on vector. These classification outcomes are also compared with classification drawn on the basis of statistical inference.  The finding of this study shows that both discrete fuzzy sets and continuous fuzzy sets produce consistent results regardless of whether the fuzzy similarity measure was used. Hence, the inclusion of other methods in FCM is particularly very useful for calculating the closeness coefficients and specifically addresses the shortcoming in FCM for job satisfaction evaluation. 
Water Level Intelligent System of Data Acquisition and Early Warning Lei Li; Fenglian Cao; Zheng Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In order to improve work efficiency of hydrometric station, guarantee the accuracy and timeliness of water level data acquisition, process water level data in a timely manner and make early warning of risk, mobile devices are proposed as collection, sending and early warning terminal of water level data, and the upper computer as the receiving and processing terminal of water level data. The water level access algorithm is studied, and the stripping method is used to obtain the high-accuracy water level information. The image thinning algorithm is applied to optimize, so as to reduce the complexity of the algorithm. The programming is able to control real-time data sending, which realizes the data exchange between server terminal and communication module. Microsoft Access database is applied to the operation of water level information and the design of man-machine interface. Experimental study shows that this system can accurately acquire information in real time, undertake statistical analysis of data with many functions such as early warning, effectively improve the work efficiency of water level monitoring and improve the management level of hydrological industry. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5450

Page 497 of 918 | Total Record : 9174

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