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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
 335   336   337   338   339 
A New Statistical Model to Estimate Information System Contingency Budget Junwei Zeng; Fajie Wei; Haitao Xiong; Anying Liu
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

Development of an information system is a complex process, which expose to a great number of risks.Hence, the high failure rates long associated with information system projects, despite advances in techniques for information technology development, suggest that organizations need to improve their ability to identify and to manage associated risks. To improve the risk management in information system development projects, a pragmatic procedure is suggested to determine the size of a project's contingency plan budget at any specified level of certainty. Considering the interaction among risk factors, a method based on common risk factors and copula functions is used to model and quantify positive dependence between risks. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5438
Temperature Rise Comparison of Switchgear in SF6, N2, and Air Feng Hao; Zhang Junmin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Based on the heat conduction equation, fluid flow governing equation and radiation heat transfer equation, a multi-physics coupled mathematical model is established, the convection heat transfer problem between solid and fluid is solved by wall function. The three dimensional thermal field in a type of switchgear filled respectively with SF6, N2, and air are calculated and analyzed to discuss the feasibility of using air or N2 as the substitution of SF6 by the finite volume method. The results show that the temperature field in three gases are similar in the switchgear. The temperature rise of current-carrying loop is the highest in SF6 and is the lowest in the air. So the conclusion could be made that air or N2 can replace SF6 as the insulating gas of switchgear on the perspective of temperature rise. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2217
Systematic review of aspects of DDoS attacks detection Silvia Bravo; David Mauricio
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp155-168

Abstract

Distributed Denial of Service attacks (DDoS) are one of the biggest problems facing the Internet. To eliminate this type of attack, the number of which has increased in the period under study, various methods of defense have been proposed. However a detection mechanism that is able to completely counteract the attacks has not yet been found. Therefore, detection and defense against DDoS attacks is of great importance for specialists engaged in computer security. This paper presents a systematic review of the scientific literature on methods of detecting DDoS attacks. From the literature the main aspects related to detection have been formulated. Six aspects for analysis in this investigation were identified: techniques, variables, tools, deployment location, point in time and detection accuracy. It was found that each technique used for the detection of attacks exploits certain characteristics of the network traffic, user requests and specific tools. Finally, it managed to identify the mechanisms that have the highest detection accuracy, such as the datasets they use. It has been concluded that an adequate analysis of the above aspects of detection of DDoS attacks can make a useful contribution to designing an appropriate strategy for neutralizing the attacks.
Improving Medical Adherence using Smart Medicine Cabinet Monitoring System S. A. Ishak; H. Zainol Abidin; M. Muhamad
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp164-169

Abstract

Patients at home may forget to take their medicines on time, miss doses or even take overdoses. This particularly applies to the elderly at home. Hence, this paper presents a monitoring system to improve the medical adherence which is based on Internet of Things (IoT) concept known as smart medicine cabinet monitoring system.  The system is proposed to remind the elderly to take their medicines on time, to ensure that the elderly have taken their medicines and to notify the family member of the elderly about their medication intake. This paper presents a method of monitoring the medication intake of the elderly which is based on IoT concept to display the data on the web database. The system uses an Arduino microcontroller, a toggle switch, LCD Display, limit switch, alarm system and a Wi-Fi module. The developed system is seen to be another alternative that would help the elderly especially who are living alone for their medication adherence to home-based treatment.
Glaucoma detection of retinal images based on boundary segmentation Noraina Alia Zainudin; Ain Nazari; Mohd Marzuki Mustafa; Wan NurShazwani Wan Zakaria; Nor Surayahani Suriani; Wan Nur Hafsha Wan Kairuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp377-384

Abstract

The rapid growth of technology makes it possible to implement in immediate diagnosis for patients using image processing. By using morphological processing and adaptive thresholding method for segmentation of optic disc and optic cup, various sizes of retinal fundus images captured through fundus camera from online databases can be processed. This paper explains the use of color channel separation method for pre-processing to remove noise for better optic disc and optic cup segmentation. Noise removal will improve image quality and in return help to increase segmentation standard. Then, morphological processing and adaptive thresholding method is used to extract out optic disc and optic cup from fundus image. The proposed method is tested on two publicly available online databases: RIM-ONE and DRIONS-DB. On RIM-ONE database, the average PSNR value acquired is 0.01891 and MSE is 65.62625. Meanwhile, for DRIONS-DB database, the best PSNR is 64.0928 and the MSE is 0.02647. In conclusion, the proposed method can successfully filter out any unwanted noise in the image and are able to help clearer optic disc and optic cup segmentation to be performed.
A New Naive Bayes Text Classification Algorithm Duan Li-guo; Di Peng; Li Ai-ping
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Aiming at the phenomenon that in text classification the calculation of prior probability is time-consuming and has little effect on the classification results and the error propagation of posterior probability affects the accuracy of classification, this paper improves the classical naïve bayes algorithm and proposes a new text classification algorithm which accelerates the speed by removing the calculation of prior probability and reduces the accuracy loss of error propagation by adding an amplification factor .The experiments prove that removing the calculation of prior probability can accelerate the classification speed obviously and has little effect on the classification accuracy, and adding an amplification factor in the calculation of posterior probability can reduce the effect of error propagation and improve the classification accuracy. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4180 
On the Security of a Dynamic and Secure Key Management Model for Hierarchical Heterogeneous Sensor Networks Pengshuai Qiao
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.pp7459-7462

Abstract

With the development of the wireless communication technology and the sensor technology, the wireless sensor network (WSN) has been used in many applications. However, WSNs suffer from some inherent weaknesses because of restricted communication and hardware capabilities. To achieve essentially secure communication in WSNs, a few of key management models have been proposed since it is the crucial important building block for all security goals in WSNs. Recently, Alagheband and Aref proposed a signcryption scheme and used it to construct a dynamic key management model for hierarchical heterogeneous sensor networks. They also proved that their signcryption scheme is provably secure if the elliptic curve discrete logarithm problem is infeasible. Unfortunately, by giving concrete attacks, we indicate that Alagheband and Aref’s signcryption scheme is not secure in their secure model. The analysis also shows that their key management model is not secure. To solve those weaknesses, we also proposed an improved signcryption scheme.
Distance Relay Impedance Measuring Problems in Presence of Wind Farms Farhad Namdari; Fatemeh Soleimani; Esmaeel Rokrok
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i3.pp464-479

Abstract

Environmental concerns along with the increasing demand on electrical power, have led to power generation of renewable sources like wind. Connecting wind turbines in large scale powers with transmission network makes new challenges like the impact of these renewable sources on power system protection. This paper studies the impact of fault resistance and its location on voltage and current fundamental frequencies of faulted lines connected to DFIG based wind farms and it will be demonstrated that because of the large differences between these frequencies, impedance measuring of distance relays is inefficient. Hence in these power systems using conventional impedance measurements is not suitable anymore and new impedance measuring approaches are required in distance relays.
Non-certainty Equivalent Adaptive Exciting Control of Multi-machine Power Systems Xiujuan Dong; Shengtao Li; Nan Jiang; Yuanwei Jing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Transient stability problem for multi-machine infinite bus system with the generator excitation was addressed via the non-certainty equivalent nonlinear re-parameterization method. The system need not to be linearized. The damping coefficient uncertainty was considered. A non-certainty equivalent excitation controller and a novel parameter updating law were obtained simultaneously via adaptive backstepping and Lyapunov methods to achieve stability of the error systems. Simulation results showed that the proposed controller had good transient performance. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2859 
Hadoop Security Challenges and Its Solution Using KNOX Sirisha N; Kiran K V D; R Karthik
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp107-116

Abstract

Big Data is a new technology and architecture. It can work on a very large volume of a variety of data with high-velocity, discovery, and/or analysis. Big Data is about the fast-growing sources of data such as web logics, Sensor networks, Social media, Internet text and documents, Internet pages, Search Index data, scientific research. Big data also formally introduces a complex range of analysis. Big data can evaluate mixed data (structured and unstructured) from multiple sources. As there are some security issues in big data which are no longer solved using the hashing techniques on large amount of data, this paper shows an idea of new approach of designing a Knox’ified Hadoop cluster.

Page 337 of 923 | Total Record : 9226

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