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Developing an expert system method for assessment of destructive information-psychological influence Bilal Zahran; Jamil AL-Azzeh; Andrii Gizun; Vladyslav Griga; Bogdana Bystrova
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1571-1577

Abstract

Nowadays solving practical problems in various sectors using intelligent solutions, based on expert systems are becoming more and more widespread. In this paper an expert system method is proposed for assessment and prediction of destructive influences. All disadvantages of existing assessment systems are taken into account during the development and analysis phases. The most important estimated parameters are determined. This method is based on quantitative methods of expert evaluation, which gives the advantage: there is no need to collect large amounts of statistical data and clear formalization of the current situation.
Protecting sensitive information utilizing an efficient association representative rule concealing algorithm for imbalance dataset Mylam Chinnappan Babu; Sankaralingam Pushpa
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.pp527-534

Abstract

In data mining, discrimination is the detrimental behavior of the people which is extensively studied in human society and economical science. However, there are negative perceptions about the data mining. Discrimination has two categories; one is direct, and another is indirect. The decisions depend on sensitive information attributes are named as direct discrimination, and the decisions which depend on non-sensitive information attributes are called as indirect discrimination which is strongly related with biased sensitive ones. Privacy protection has become another one of the most important problems in data mining investigation.  To overcome the above issues, an Efficient Association Representative Rule Concealing (EARRC) algorithm is proposed to protect sensitive information or knowledge and offer privacy protection with the classification of the sensitive data. Representative rule concealing is one kind of the privacy-preserving mechanisms to hide sensitive association rules. The objective of this paper is to reduce the alternation of the original database and perceive that there is no sensitive association rule is obtained. The proposed method hides the sensitive information by altering the database without modifying the support of the sensitive item. The EARRC is a type of association classification approach which integrates the benefits of both associative classification and rule-based PART (Projective Adaptive Resonance Theory) classification. Based on Experimental computations, proposed EARRC+PART classifier improves 1.06 NMI and 5.66 Accuracy compared than existing methodologies.
Multi-objective attendance and management information system using computer application in industry strip Ahmed Hazim Alhilali; Nabeel Salih Ali; Mohammed Falih Kadhim; Basheer Al-Sadawi; Haider Alsharqi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp371-381

Abstract

Information technology has played a vital factor in a competitive advantage for various business firms recently. Hence, catching up Investment of IT in most of the traditional industries for competitiveness purposes due to the relationship between organizational performance and IT use. In this study, attendanceand management information system (AMIS) was presented in the industry field based on multi-modules. Modules are management information, time- scheduling and attendance, and employee self- service module. The system used VB.NET environment for programming perspective as well MS SQL server for database storage. The system is secure and robust recordkeeping, keep employee up to date via self- service access, easy to use (simplified) and powerful time and attendance, active work schedules to make an employee happy and keep workers in the loop, as well, review and exporting different reports for staff manager, supervisor, and employee such as absence, vacation, time-off, employee wages, and etc.
A light weight encryption over big data in information stockpiling on cloud Uma Narayanan; Varghese Paul; Shelbi Joseph
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.pp389-397

Abstract

Data is growing exponentially in the fast Changing World of Information and Communications Technology. Information from sensors, cell phones, social networking sites, logical information and ventures all are adding to this gigantic blast in the information. One of the best mainstream utilities available for dealing with the colossal measure of data is the Hadoop community. Enterprises are progressively depending on Hadoop for preparing their essential information. In any case, Hadoop is still developing. There is much powerlessness found in Hadoop, which can scrutinize the security of the sensitive data that undertakings have entrusted on it. In this paper, security issues related to the system have been discussed. Besides, we have attempted to give a short overview of the currently accessible arrangements and their constraints. Towards the end, a novel strategy, which can be utilized to kill the detected vulnerabilities in the structure, has been introduced. In the cutting edge period, data security has moved towards becoming a basic need for every single person. Be that as it may, not every person can bear the cost of the specific circulations given by various sellers to their Hadoop group. This paper displays an effective system that anybody can use with their Hadoop to secure Data.
Design of Information Retrieval System Using Rough Fuzzy Set Yuemin Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3541
Transformer Fault Diagnosis Method Based on Information Fusion Xin bo Huang; Tong Song; Ya na Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

According to the characteristics and current situation of power transformer fault diagnosis , information fusion technology is introduced into this field of fault diagnosis of power transformer. By studying the general framework of information fusion fault diagnosis process, combined with the dissolved gas and electrical tests data,it is proposed a fault diagnosis method of information fusion which is based on fuzzy coding boundary and Bias regularization Levenberg Marquardt (LM) network. The algorithm uses a Bias approach to determine the hyper parameters, making the neural network adaptively adjust the parameter in the training process and getting the optimization parameters of the objective function . Combined with fuzzy coding boundary for feature attribute reduction to improve the accuracy of fault diagnosis .The contrast analysis of twice fusion results shows that the  fault diagnosis model of the transformer accurate rate is 89.83%. Finally , it proves the validity and practicability of this new diagnosis method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4054
DWT Domain Information Hiding Approach Using Detail Sub-band Feature Adjustment Qiudong Sun; Ping Guan; Yongping Qiu; Wenying Yan
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

In recent years, many algorithms based on HVS and DWT had been proposed for watermarking. But most of them aimed at the binary iconic watermark. So they are unsuitable for embedding other format watermarks such as the text file, the gray image or even the color image. This paper proposed a multi-format data source file supporting algorithm for watermarking and information hiding. Firstly, the algorithm transformed a source file into a binary watermark sequence and put redundant encoding and random scrambling on it. Then, the algorithm selected two neighboring blocks each time from the Hilbert scanning sequence of the host image blocks, and transformed them by DWT. Lastly, according to the different codes of each two sequential watermark bits, the algorithm chose one of two thresholds of just noticeable difference (JND) to modify the average value features of two corresponding detail sub-bands to insert the watermark into the host image. Extracting hidden information only to need the embedded image without the original host images and the data source file, implemented the blind extraction to improve the security of secret information. The experimental results show that the embedded watermark is invisible, and the algorithm is robust to common image processing operations. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2934
Key Technology on Middleware-based Dynamic Traffic Information Platform Lei Wu; Tai Yang; Licai Yang
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.pp5661-5568

Abstract

According to traffic information of multi-source heterogeneity and complexity of information processing, the architecture of the dynamic traffic information platform based on middleware is proposed, which enhanced the system stability, generality, and efficiency depending on the high integration and scalability of middleware. This middleware-based platform unifies and encodes the data from all sorts of detectors, and integrates the multi-mode transmission, data preprocessing, and data fusion. On the publishing stage, this platform realizes the interactions between different publishing devices and traffic database through an independent traffic information publishing middleware. The proposed platform overcomes the data loss and data noise, decreases the data redundancy due to the heterogeneous multi-source data, and ensures the data accuracy with better security and expandability. The performance is efficient, reliable with cross-platform information transmission.
Car Information Bus Image Restoration Using Multi-wavelet Transform Algorithm Zhuang Wen Wu; Liangrong Zhu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Car reverse image is transmitted by information bus. Because of the bad electromagnetic environment of the engine compartment, car’s information bus sometime will be blocked or not real-time, which can lead to the uncertainty of information transmission, and will cause the risks of security and reliability of the transmitted network. A GHM multi-wavelet is adopted by this paper to restore the interference car reverse image. After balanced processing the GHM multi-wavelet, constant module blind equalization algorithm based on balanced orthogonal multi-wavelet transform (MWTCMA) is used in this paper. Compared with the constant module blind equalization algorithm (CMA) and wavelet transform constant module blind equalization algorithm (WTCMA), results show that MWTCMA can eliminate the multi-wavelet pre-filtering process through multi-wavelet transform on input signal, and improve the convergence speed. The calculation error of MWTCMA is also smaller than the other two methods.DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2697
Analysis of the Relationship between Hamming Distance and the Electromagnetic Information Leakage Zhang Jiemin; Liu Jinming; Sun Haimeng; Mao Jian
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Electromagnetic information leak as a potential data security risk is more and more serious. Discussing the relationship between compromising emanations and Hamming distance is directed to preventing or reducing the electromagnetic information leakage. The paper presents the model of electromagnetic information leak, then the hierarchical protection strategy based on the model is proposed, that is anti-radiation, anti-intercept and anti-reconstruction. Analyzing the causes of electromagnetic information leak through the touch screen case, the paper describes the electromagnetic radiation intensity is correlated to the transition's Hamming distance. The paper presents the anti-intercept method, which is reducing the Hamming distance of the sensitive data or keep Hamming distance constant in order to reducing or preventing the electromagnetic information leakage. The anti-intercept method is available showed as the touch screen case. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3966   

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