• Communications for Statistical Applications and Methods
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• v.19 no.2
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• pp.219-224
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• 2012

This article considers the mean time to failure(MTTF) of a dependent parallel system. We study how the degree of dependency components influences the increase in the mean lifetime for this system. The results are illustrated by tables and figures.

• Journal of Korean Society of Rural Planning
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• v.11 no.4 s.29
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• pp.75-91
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• 2005

This study designs an integrated data architecture to systematically manage the agricultural statistics database. Managing the agricultural statistics is important since it provides data for policies and decision making for agribusinesses. Ministry of Agriculture and the National Statistical Office collect the basic agricultural statistic data which provides the basis of logical decision making and agricultural policies. However, the agricultural statistic data has not well been used. The data has not been consistently collected nor managed. The raw data has not been organized nor processed to meet various demands. The needs has been arisen for a consistent agricultural statistics system to increase the relevance, accessibility, and efficiency of data for various users. There are massive amount of data accumulated over a long time period. Introducing the new system and reorganizing the data will bear large risks. A systematic method is required to reduce the risks in planing, building, and maintaining the database without hindering administration. This study provides a design of the agricultural statistics system architecture based on the user requirement analysis (URA) and similar systems abroad. We have also build a prototype to check the implementability of the system design.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.67
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• pp.209-231
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• 2015

The accurate national trade statistics can show the real nation's trade situation, and contribute to setting up the national's trade plans and corporate's strategies. This study researches the differences between trade statistics and actual trade record among the national and international statistics and suggests improvement plans to solve the problems. There are 4 types' differences among the trade statistics as follows; First, a statistical differences between Korea Customs Service and Bank of Korea by yearly US$9.6billions because of standard and boundary of trade statistics. Second, a statistical differences between Ministry of Trade, Industry and Energy and Korea Customs Service because of the time and purpose of trade statistics release. Third, a statistical differences between Korea and counterpart countries because of standard of trade statistics, intermediate countries and rules of origin. Lastly, a statistical differences between nation's statistics and corporate record because of typing errors and indirect export record. The fundamental improvement plans are Korea statistics rules like Korea Foreign Trade Rules and Korea Custom Rules, need to coincide with the international rules like IMTS, MSITS, BPM6 etc. Especially the rules of statistics related to intermediary trade, processing trade and transit trade have to revise with new BPM6 rules. In addition, a reasonable care of trade statistics from accumulation to utilization of trade information is more important than statistical regulation or system, so all persons concerned including exporters, importers, government official pay attention the statistics and cooperate together.

• Journal of Digital Contents Society
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• v.8 no.2
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• pp.149-156
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• 2007

In this paper, I discuss the development techniques and implemented type of DAVIS, a standalone JAVA-based application, by which statistics application can be downloaded from a web server, stored and installed to a client. Also I discuss both the server-based application and the client-based application that analyze statistics data. Considering the strengths and weaknesses of types discussed previously, I propose an advanced learning system of statistics that can execute an application in a client by client request. And data used in this system are loaded from a database server or input into a client by users.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.2
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• pp.111-118
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• 2016

Artificial intelligence (AI) is making computer systems intelligent to do right thing. The AI is used today in a variety of fields, such as journalism, medical, industry as well as entertainment. The impact of AI is becoming larger day after day. In general, the AI system has to lead the optimal decision under uncertainty. But it is difficult for the AI system can derive the best conclusion. In addition, we have a trouble to represent the intelligent capacity of AI in numeric values. Statistics has the ability to quantify the uncertainty by two approaches of frequentist and Bayesian. So in this paper, we propose a methodology of the connection between statistics and AI efficiently. We compute a fixed value for estimating the population parameter using the frequentist learning. Also we find a probability distribution to estimate the parameter of conceptual population using Bayesian learning. To show how our proposed research could be applied to practical domain, we collect the patent big data related to Apple company, and we make the AI more intelligent to understand Apple's technology.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.379-393
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• 2006

In this paper, we propose a method to summarize the monthly traffic amount for analyzing network load in mobile communication system. We used the traffic data obtained from a domestic telecommunication company. Based on the statistical properties of the traffic data, we devise an efficient method to summarize monthly traffic amount.

• The Korean Journal of Applied Statistics
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• v.23 no.4
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• pp.725-738
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• 2010

As an effort to reform legal system of Korea, the law school system is introduced in March 2009. Thus the law culture of Korea is expected to change drastically for diversification, specialization and globalization. With such social trend as background, the author writes on the pre-law and law school courses "Law and Statistics" which were offered at Korea University. Also, he reviews two legal cases and summarizes two research results: DNA database controversies and a sentence standardization model.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.294-312
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• 2010

Data Technology (DT) is a new technology which deals with data collection, data analysis, information generation from data, knowledge generation from modelling and future prediction. DT is a newly emerged interdisciplinary science & technology in this 21st century knowledge society. Even though the main body of DT is applied statistics, it also contains management information system (MIS), quality management, process system analysis and so on. Therefore, it is an interdisciplinary science and technology of statistics, management science, industrial engineering, computer science and social science. In this paper, first of all, the definition of DT is given, and then the effects and the basic properties of DT, the differences between IT and DT, the 6 step process for DT application, and a DT example are provided. Finally, the relationship among DT, e-Statistics and Data Mining is explained, and the direction of DT development is proposed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.1C
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• pp.17-23
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• 2010

In this paper, we present an adaptive noise removal method using local statistics and generalized Gaussian filter. we propose a generalized Gaussian filter for removing noise effectively and detecting noise adaptively using local statistics based human visual system. The simulation results show the objective and subjective capabilities of the proposed algorithm.

• Proceedings of the Korean Reliability Society Conference
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• 2002.06a
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• pp.173-183
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• 2002

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