• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.134-140
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• 2021

The development of technology speeds up the process of obtaining information and its analysis to track the level of corruption in different countries and develop countermeasures. This study examines the role of information and analytical support of anti-corruption policy as a tool for government accountability and analysis, evaluation, combating corruption in Eastern Europe. The purpose of the article is to identify the components of the information-analytical system that help reduce the level of corruption. The research methodology is based on a qualitative content analysis of the functioning of information and analytical systems of Ukraine used by anti-corruption bodies. A quantitative analysis of the CPI score was conducted, according to Transparency International, to identify the effectiveness of anti-corruption policies in developing countries. The results show similar trends in countries developing on the effect of the use of information and analytical systems in the implementation of anti-corruption policies, strategies and measures. The strategy to combat corruption mainly involves increasing the independence and powers of anti-corruption bodies. Therefore, the development of information and analytical support is aimed at automating the processes of pre-trial investigations and criminal proceedings, information protection. As a tool for accountability, information and analytical systems may be ineffective due to the abuse of power by higher anti-corruption bodies due to political pressure from elite structures. Restrictions on political will are a major problem for the effectiveness of anti-corruption policies.

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.137-143
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• 2016

This study is to test moderating effects of North Korean Refugees' coping styles in the causal relation between social support and psychological wellbeing and suggest policy implications for helping social adjustment of North Korean Refugees. For this study, 100 North Korean Refugees were sampled and surveyed. The analytical result of this study showed that the degree of psychological wellbeing was highest among the refugees of the entire families migration. Also, this study showed that the causal relationship between social support and psychological wellbeing was not significant, and moderating effects of emotional support and appraisal support were significant, while moderating effects of material support and informative support were not significant. In this study, we suggested some policy implications basing on this analytical results.

• 한국산업정보학회논문지
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• 제2권2호
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• pp.189-207
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• 1997

Recently, we have witnessed a host of emerging tools in the management support systems (MSS) area including the data warehouse/multidimensinal databases (MDDB), data mining, on-line analytical processing (OLAP), intelligent agents, World Wide Web(WWW) technologies, the Internet, and corporate intranets. These tools are reshaping MSS developments in organizations. This article reviews a set of emerging data management technologies in the knowledge discovery in databases(KDD) process and analyzes their implications for decision support. Furthermore, today's MSS are equipped with a plethora of AI techniques (artifical neural networks, and genetic algorithms, etc) fuzzy sets, modeling by example , geographical information system(GIS), logic modeling, and visual interactive modeling (VIM) , All these developments suggest that we are shifting the corporate decision making paradigm form information-driven decision making in the1980s to knowledge-driven decision making in the 1990s.

• International Journal of Computer Science & Network Security
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• 제24권8호
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• pp.153-158
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• 2024

This paper is an extended paper showing the role of Decision Support Systems (DSS) in other fields of Marketing Management (M.Mgnt). DSS facilitates in decision making many M.Mgnt concepts and Customer Relationship Management (CRM) is one of them and it depends on the firm's tasks for developing and retaining customers while achieving their satisfaction and enhancing the sense of belongingness for their products and services. Profit maximization, the process of customer value, and building strategic values for the firm are the three empirical benefits of CRM that are achieved through analytical, operational, and direction (AOD) capabilities respectively. This research focuses on the application of DSS models of what-if analysis (WIA) for CRM at (AOD) and also shows the dependence on the Information Success model (ISM). Hypothetical data are analyzed for (AOD) by three types of (WIA) to attain CRM and profit maximization and this analytical method can be used by any customer-oriented firm as a general model.

• 한국컴퓨터정보학회논문지
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• 제16권4호
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• pp.243-252
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• 2011

본 연구는 사회적 지지와 가족기능이 사회참여 활동을 통하여 중 노년 삶의 만족도에 어떠한 영향을 미치는지를 구조방정식모형(structural equating modeling)을 작성하여 검증해 봄으로써 이론적 정책적 시사점을 도출해 보았다. 이를 위해 본 연구에서는 문헌연구를 통하여 인과모형과 연구가설을 설정한 다음, G시에 거주하는 50세 이상 중 노년을 대상으로 설문조사를 실시하여 검증해 보았다. 본 연구의 분석결과 중 노년의 가족기능과 사회적지지는 사회활동참여를 통해 신체적, 정신적 건강을 유지할 수 있게 하고, 또한 긍정적인 태도를 견지함으로써 전반적인 삶의 만족도가 향상되는 것으로 나타났다. 본 연구는 이러한 분석 결과를 토대로 시사점을 도출하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권9호
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• pp.2154-2172
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• 2013

A centralized cognitive radio (CR) network is proposed and its system capacity is studied. The CR network is designed with power control and multi-user scheduling schemes to support best-effort traffics under peak interference power constraints. We provide an analytical framework to quantify its system capacity, taking into account various key factors such as interference constraints, density of primary users, cell radius, the number of CR users, and propagations effects. Furthermore, closed-form formulas are derived for its capacities when only path loss is considered in the channel model. Semi-analytical expressions for the capacities are also given when more realistic channel models that include path loss, shadowing, and small-scale fading are used. The accuracy of the proposed analytical framework is validated by Monte Carlo simulations. Illustrated with a practical example, the provided analytical framework is shown to be useful for the strategic planning of centralized CR networks.

• 한국정보시스템학회지:정보시스템연구
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• 제20권3호
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• pp.111-127
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• 2011

This study is intended for international cooperation in the field of LED were analyzed. The results, LED wide coverage areas, and a promising future is expected to grow fast enough to occupancy for a major national technology is a competitive situation. Chip Scale Package, including our country, such as LED manufacturing technology that might be competitive in parts, but new technologies such as renal substrate R&D and technology development still active preemption is not the situation. Renal substrate, particularly, large-diameter sapphire, large size/large LED manufacturers, such as a promising area for future research and development support will be needed. To do this, previous research in this area and the U.S., Japan cooperation in such studies also will need to expand. Bibliometrics way through this study, analytical techniques and analytical tools used in the integrated analysis of the usefulness and necessity of the system development were found.

• Journal of Computing Science and Engineering
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• 제1권2호
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• 한국통신학회논문지
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• 제34권12C호
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• pp.1177-1183
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• 2009

In this paper, support vector machines (SVM) are applied to multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work shows an analytical performance of SVM based multi-user detector with some of kernel functions, such as linear, sigmoid, and Gaussian. The basic idea in SVM based training is to select the proper number of support vectors by maximizing the margin between two different classes. In simulation studies, the performance of SVM based MUD with different kernel functions is compared in terms of the number of selected support vectors, their corresponding decision boundary, and finally the bit error rate. It was found that controlling parameter, in SVM training have an effect, in some degree, to SVM based MUD with both sigmoid and Gaussian kernel. It is shown that SVM based MUD with Gaussian kernels outperforms those with other kernels.

• 한국컴퓨터정보학회논문지
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• 제21권10호
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• pp.149-156
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• 2016

The purpose of this study is to suggest some policy and theoretical implications for the youth's internet game addiction by analyzing the moderating effects of social support in the relationship of Oiettolie propensity and game addiction behaviors. For the purpose of this study, this study set a research model about the causal relationships among the study variables by reviewing previous studies and surveyed high school students for this research. The analytical results of this study are the followings. First, lack of communication and impulsivity have significant influences on Oiettolie propensity. Second, Oiettolie propensity has a significant influence on youth's game addiction. Third, social support moderates the relationship between Oiettolie propensity and youth's internet game addition. This study suggests some implications for the youth internet game addiction.