• 정보보호학회논문지
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• 제26권3호
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• pp.735-744
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• 2016

최근 모바일 서비스 증가와 함께 다양한 개인정보 유출사고가 증가하고 있다. 개인정보 유출사고는 개인의 모바일 뱅킹 서비스 이용에 중요한 영향을 미친다. 이에 따라 본 연구에서는 다양한 개인정보 유출사고 인지가 모바일 뱅킹 이용자의 심리와 행동에 미치는 영향관계를 살펴보았다. 본 연구에서는 모바일 뱅킹 이용자의 심리와 행동 이해를 위해 인간의 심리와 행동을 설명해주는 대인행동이론과 외부 자극에 대한 반응 결과를 설명해주는 자극반응이론을 활용하였다. 본 연구자들은 모바일 뱅킹 이용자들을 대상으로 온라인을 통해 설문조사를 수행하였고, 구조방정식 모델을 통해 인과관계를 분석하였다. 본 연구결과는 모바일 뱅킹 서비스를 제공하는 금융기관에서 개인정보보호 관련 준수의도와 준수행동을 강화하는데 유용하게 활용될 것이다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4567-4583
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• 2021

This study proposes an analytical approximation algorithm based on extreme value theory (EVT) for the inverse of the power of the incomplete Gamma function. First, the Gumbel function is used to approximate the power of the incomplete Gamma function, and the corresponding inverse problem is transformed into the inversion of an exponential function. Then, using the tail equivalence theorem, the normalized coefficient of the general Weibull distribution function is employed to replace the normalized coefficient of the random variable following a Gamma distribution, and the approximate closed form solution is obtained. The effects of equation parameters on the algorithm performance are evaluated through simulation analysis under various conditions, and the performance of this algorithm is compared to those of the Newton iterative algorithm and other existing approximate analytical algorithms. The proposed algorithm exhibits good approximation performance under appropriate parameter settings. Finally, the performance of this method is evaluated by calculating the thresholds of space-time block coding and space-frequency block coding pattern recognition in multiple-input and multiple-output orthogonal frequency division multiplexing. The analytical approximation method can be applied to other related situations involving the maximum statistics of independent and identically distributed random variables following Gamma distributions.

• 대한전자공학회논문지
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• 제25권5호
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• pp.482-489
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• 1988

In this paper, we proposed a generalized model reference adaptive control theory which can be applied to single-input single-output discrete system by using V.M.Popov's hyperstability theory. As the result of theoretical analysis, it is proved that the discrete adaptive control scheme proposed by Narendra is a special case of the adaptive control schemes proposed in this paper. Also we suggest a variety of parameter adaptiations methods of controller through hyperstability theory.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.227-230
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• 2003

We can not distinguish semantism of the feature of the current language “big”, “small”, “beautiful”. But we study artificial linguistic interface work and convert natural language to digital binary linguistic theory, we should define the basical conversion process. When we utilize the sum of product fuzzy theory and the visible numerical value, we can establish reasoning rule of input language. Fuzzy theory should be converted to general resulting rule.

• Steel and Composite Structures
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• 제16권3호
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• pp.233-252
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• 2014

In this paper a computer program is developed for the determination of geometrical and material properties of composite thin-walled beams with arbitrary open cross-section and any arbitrary laminate stacking sequence. Theory of thin-walled composite beams is based on assumptions consistent with the Vlasov's beam theory and classical lamination theory. The program is written in Fortran 77. Some numerical examples are given, with complete information about input and output.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권3호
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• pp.277-282
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• 2004

This paper outlines our approach and the underlying design principles aimed at the generation of a theory of coordination. Such theory would assist in designing new Multi-Agent Systems(MAS) and provide trouble-shooting tools for suboptimally functioning MAS. This paper also describes the decisions that have been made in this endeavor. We have been able to show via a simplified model that approach is feasible and can produce results.

• Journal of Information Processing Systems
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• 제12권1호
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• pp.109-128
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• 2016

This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components whose weights are determined by the receiver operating characteristic (ROC) curve. The proposed procedure was applied to real data sets from Chinese listed firms. For performance comparison, single ES, LR, and SVM methods, the combined forecasting method based on equal weights (CFBEWs), the combined forecasting method based on neural networks (CFBNNs), and the combined forecasting method based on rough sets and the D-S theory (CFBRSDS) were also included in the empirical experiment. CFBSS obtains the highest forecasting accuracy and the second-best forecasting stability. The empirical results demonstrate the superior forecasting performance of our method in terms of accuracy and stability.

• Asia pacific journal of information systems
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• 제6권1호
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• pp.75-108
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• 1996

Expert Systems (ES) have been successfully applied to bank loan decisions. However, with regard to bank loan decisions, most loan officers approach the acquisition of an ES with apprehension, which implies that organizational resources devoted to the development and implementation of ES may have been wasted or misused. Because the primary cause of the users resistance to use ES are more significantly related to the behavioral elements rather than technical elements, applying appropriate behavioral theory to the well representative sample group of the whole bank loan officers in the United States with a very accurate measurement tool can provide some clues for developing successful ES for bank loan officers. In this study : 1) Vroom's (1964) expectancy theory was selected to explain bank loan managers' motivation to use an ES ; and 2) the ANN model's prediction power to estimate bank loan officers' motivation levels of using an ES was examined.

• Genomics & Informatics
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• 제9권1호
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• pp.5-11
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• 2011

Treating genomes just as languages raises the possibility of producing concise generalizations about information in biological sequences. Grammars used in this way would constitute a model of underlying biological processes or structures, and that grammars may, in fact, serve as an appropriate tool for theory formation. The increasing number of biological sequences that have been yielded further highlights a growing need for developing grammatical systems in bioinformatics. The intent of this review is therefore to list some bibliographic references regarding the recent progresses in the field of grammatical modeling of biological sequences. This review will also contain some sections to briefly introduce basic knowledge about formal language theory, such as the Chomsky hierarchy, for non-experts in computational linguistics, and to provide some helpful pointers to start a deeper investigation into this field.

• 지능정보연구
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• 제1권2호
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• pp.123-137
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• 1995

Most of solution methods in scheduling attempt to generate good solutions by either developing algorithms or heuristic rules. However, scheduling problems in the real world require considering more factors such as multiple objectives, different combinations of heuristic rules due to problem characteristics. In this respect, the traditional mathematical a, pp.oach showed limited performance so that new a, pp.oaches need to be developed. Expert system is one of them. When an expert system is developed for scheduling one of the most difficult processes faced could be knowledge acquisition on scheduling heuristics. In this paper we propose a method for the acquisition of knowledge on the selection of scheduling heuristics using Dempster-Shafer Theory(DST). We also show the examples in the multi-objectives environment.