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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 9,226 Documents
 244   245   246   247   248 
Heuristic Approaches to Solve Traveling Salesman Problem Malik Muneeb Abid; Iqbal Muhammad
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp390-396

Abstract

This paper provides the survey of the heuristics solution approaches for the traveling salesman problem (TSP). TSP is easy to understand, however, it is very difficult to solve. Due to complexity involved with exact solution approaches it is hard to solve TSP within feasible time. That’s why different heuristics are generally applied to solve TSP. Heuristics to solve TSP are presented here with detailed algorithms. At the end, comparison among selected approaches shows the efficiency of approaches in terms of solution quality and time consumed to solve TSP.
The Fault Diagnosis of Bora Engine CH Emissions based on Neural network Tie Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 8: December 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Along with an increase of the automobile possession quantity, the air pollution caused by the pollutant of the automobile emissions is serious day by day. The emission diagnosis become the important technology for guaranteeing the human sustainable development. The article introduces the reasons of CH excessive emissions in vehicle discharge of pollutants, the impact which CH excessive emissions have on our environment, expounds the advantages of SOM neural network and BP neural network, briefly describes why these two tools are applied to the project. In the article, diagnostic procedures are written by MATLAB software, parameters are analyzed which influence CH emission of a particular model engine. In the article, Volkswagen Bora acts as experimental models, the data stream is extracted, then the data are classified, trained and operated, the diagnostic results and diagnostic accuracy are finally obtained. Through SOM, the accuracy rate of fault sample data diagnostic is 73.3% and BP is 65.1%. The results of sample show that: SOM neural network can quickly and accurately diagnose the reasons of the CH excessive emissions in vehicle discharge of pollutants. DOI: http://dx.doi.org/10.11591/telkomnika.v10i8.1702
The Design and Verification of Disaster Recovery Strategies in Cloud Disaster Recovery Center Gang Li; Qingpu Zhang; Wang Li; Zhengqian Feng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Disaster recovery is an important means to ensure business continuity. However, the disaster recovery investment is so huge that the cloud disaster recovery becomes a best choice for enterprises, especially for SMEs. This paper discusses the necessity and importance of the cloud disaster recovery center and the vital indicators of disaster recovery by analyzing the classification and selecting principle of cloud disaster recovery strategy, developing disaster recovery strategy based on major disaster recovery strategy finally. In the end, this paper verifies the feasibility of the disaster recovery strategy by two specific cases of disaster recovery implementation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2945
Characterization of cracking in pavement distress using image processing techniques and k-Nearest neighbour A. Ibrahim; M.K. Osman; N.A.M. Yusof; K.A. Ahmad; N.H. Harun; R.A.A. Raof
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp810-818

Abstract

This study presents characterization of cracking in pavement distress using image processing techniques and k-nearest neighbour (kNN) classifier. The proposed semi-automated detection system for characterization on pavement distress anticipated to minimize the human supervision from traditional surveys and reduces cost of maintenance of pavement distress. The system consists of 4 stages which are image acquisition, image processing, feature extraction and classification. Firstly, a tool for image acquisition, consisting of digital camera, camera holder and tripod, is developed to capture images of pavement distress. Secondly, image processing techniques such as image thresholding, median filter, image erosion and image filling are applied. Thirdly, two features that represent the length of pavement cracking in x and y coordinate system namely delta_x and delta_y are computed. Finally, the computed features is fed to a kNN classifier to build its committee and further used to classify the pavement cracking into two types; transverse and longitudinal cracking. The performance of kNN classifier in classifying the type of pavement cracking is also compared with a modified version of kNN called fuzzy kNN classifier. Based on the results from images analysis, the semi-automated image processing system is able to consistently characterize the crack pattern with accuracy up to 90%. The comparison of analysed data with field data shows good agreement in the pavement distress characterization. Thus the encouraging results of semi-automated image analysis system will be useful for developing a more efficient road maintenance process.
Underwater Image Enhancement Using Histogram Method J. Brindha; V. Vijayakumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp687-689

Abstract

The underwater images not only offer aninteresting sight, but also have a challenge to monitor marinespecies and underwater activities. Taking a beautiful underwater image requires extraordinary equipment and technique. Usually,there are distorted colors on the image caused by poor light andwater quality. So it requires an image enhancement process to geta proper photo to display. This research offers an improvedmethod of auto levels to produce stunning photos. This methoduses the color balancing based on the distribution of each channelR, G and B based on its histogram. The balancing of colors willreproduce colors more attractive compared with other methodsof auto level.
Overlapping issues and solutions in data visualization techniques Nur Diana Izzati Husin; Nur Atiqah Sia Abdullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1600-1608

Abstract

The tremendous growth of big data has caused the data visualization process becomes more complex and challenging, and yet, data is expected to be increased from time to time. With these massive and complex data, it is getting harder for the data analyst to interpret or read the data in order to gain new knowledge or information. Therefore, it is important to visualize these data using different techniques. However, there are many remaining issues in data visualization techniques. These issues make the data visualization a big challenge to the data analyst. The most common issue in data visualization techniques is the overlapping issue. This paper reviews the overlapping issues in multidimensional and network data visualization techniques. The existing solutions are also reviewed and discussed in term of advantages and disadvantages. This paper concludes the advantages of the overlapping issues and solutions, before discussing their drawbacks. This paper suggests the color-based approach, relocation, and reduction of data sets to solve the overlapping issues.
Automatic Monitoring of Pest Insects Traps Using Image Processing Akash J. Upadhyay; P. V. Ingole
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.pp5779-5783

Abstract

Monitoring pest insect population is currently an important issue in crop protection. At farm level insect population monitoring is consistently operated by repeated surveys by a human operator of adhesive traps, disseminated through the field, where insects remain stuck when attracted. This is a laborious and time-consuming activity, and it would be of great advantage for farmers to have an affordable system performing this task automatically. A system based on a distributed imaging device that is able to automatically acquire and transmit images of the trapping area to a remote host station is proposed. The network architecture consists of a master node hosted in a PC and a set of client nodes, spread in the fields, which act as monitoring stations. The master node coordinates the network and retrieves the captured images from the client nodes. A GSM modem which is interfaced with PC through USB port is used to send messages to the particular numbers for required attention in this regard for further action.
A Two-hop Collaborative Localization Algorithm for Wireless Sensor Networks Shaoping Zhang; Hong Pei
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

Localization technology is one of the key supporting technologies in wireless sensor networks. In this paper, a two-hop collaborative multilateral localization algorithm is proposed to localization issues for wireless sensor networks. The algorithm applies anchor nodes within two hops to localize unknown nodes, and uses the minimum range error estimation method to compute coordinates of the unknown nodes. If an unknown node can not be localized through two-hop anchor nodes, it is localized by anchor nodes and localized nodes within two hops through auxiliary iterative localization method. Simulation results show that the localization accuracy of this algorithm is very good, even in larger range errors. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2471
Analysing Vehicular Congestion Scenario in Kuala Lumpur Using Open Traffic Muhammad Ali; Saargunawathy Manogaran; Kamaludin Mohamad Yusof; Muhammad Ramdhan Muhammad Suhaili
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.pp875-882

Abstract

Traffic congestion on the roads is mainly the result of overcrowding and this phenomenon happens when a great number of vehicles storm the road, resulting in the disruption of the smooth traffic flow. This greatly affects the daily routines of the people. Not to mention the time that is wasted while a person feels stranded in such situation and it results in the loss of productivity, also deteriorates the societal behavior to a certain extent and have adverse effects on the economy. The natural calamities add to the miseries. It becomes very difficult to manage the traffic flow in situations when there are flash floods or other accidents. Therefore the trend of the traffic seems very unpredictable.    The real-time information and the past data are deemed as the significant inputs for the predictive analysis. Modern day researchers perform the predictive analysis using the simulations as it does not seems to have any accurate and exact predictive model, mainly because of the higher complexity and the perplexing situation the researchers face while performing the analysis. Open Traffic seems to be a viable option, as it is an open source and can be linked with the Open Street. This research targets to study and understand the Open Traffic platform. In this regard the real-time traffic flow pattern in Kuala Lumpur area was successfully been extracted and the analysis was performed using Open Traffic. It was observed and deduced from the results that Kuala Lumpur faces congestion on every major avenue, junction or intersection it mostly owes to the offices and the economic and commercial centers during the peak hours. Some avenues experience the congestion problem due to the tourism.
Tuning Methods of PID Controller for DC Motor Speed Control Ashwaq Abdulameer; Marizan Sulaiman; MSM Aras; Dawood Saleem
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 2: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i2.pp343-349

Abstract

The traditional PID controllers are used for a long time to control the DC motor for many industrial processes, that because of the simplicity, flexibility, and satisfactory performance of this type of controller. This paper discusses the basic PID tuning method (Ziegler-Nichols) and its modification (Chien-Hrones-Reswick). Also, analysis the speed control DC motor response using the PID controller parameters that result from the tuning methods mentioned earlier. Moreover, explain the advantage and disadvantage of each formula of these methods.  GUL/MATLAB windows used to implementing both methods to create more comfortable and friendly environment for better understanding of the PID controller tuning methods formula for engineering students and practicing engineers.

Page 246 of 923 | Total Record : 9226

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