• The Korean Journal of Air & Space Law and Policy
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• v.3
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• pp.233-258
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• 1991

This paper examines current developing status of space law as defined in terms of its unique principle that "the utilization of outer space for all mankind's interest". As commercialization of space activities has brought about heated debate on its legitimacy with respect to that principle, space law has come to witness a dual situation. One is the realization of that principle in establishing commercial space activities system where all mankind's interest is respected through the non-discriminatory distribution mode of space benefit. In satellite telecommunication system, the INTELSAT Organization assures its public service policy while protecting itself against a competition from separate systems. For remote sensing, commercialization of LANDSAT Systems promoted since 1984 seems not to affect present non-discriminatory distribution of data and information obtained. On the other hand, active participation of private entity aiming at commercial profit enables national government to manage more effective control and supervision of those activities with a view to promoting national interests. Also, newly developed private rules and regulations are emerging in business relations about commercial space activities. Extended capacity of national government assuring its national interest in production and distribution of international resources that is outer space, and regulation of space activities by newly developed rules and customs provoke a concern about a identity problem of space law. The best way to summarize this perspective might consist in saying that non space law regulations, which are not assumed as aiming at the promotion of all mankind's interest, are confirming their role about space related activities. For those reasous, we are now facing a developing status of space law as developments of commercial space activities continues.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.831-844
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• 2008

Since cooperatives consist of many distinct members in the management environment and characteristics, it is necessary to make similar cooperatives into a few groups for the effective risk management of cooperatives' mutuality bank. This paper is a priori research for suggesting a guidance for effective risk management of cooperatives with different management strategy. For such purpose, we propose a way to group the members of cooperative's mutuality bank. The 30 continuous variables which is relative to cooperatives' management status are considered and six factors are extracted from those variables through factor analysis with empirical consideration to avoid wrong grouping and to enhance the practical interpretation. Based on extracted six factors and additional 3 categorical variables, six representative groups are derived by the two step clustering analysis. These findings are useful to execute a discriminatory risk management and other management strategy for a mutuality bank and others.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.23-28
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• 2005

The high-dimensionality and insufficiency of gene expression profiles and proteomic profiles makes feature selection become a critical step in efficiently building accurate models for cancer problems based on such data sets. In this paper, we use a method, called Discrete Function Learning algorithm, to find discriminatory feature vectors based on information theory. The target feature vectors contain all or most information (in terms of entropy) of the class attribute. Two data sets are selected to validate our approach, one leukemia subtype gene expression data set and one ovarian cancer proteomic data set. The experimental results show that the our method generalizes well when applied to these insufficient and high-dimensional data sets. Furthermore, the obtained classifiers are highly understandable and accurate.

• Journal of Information Processing Systems
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• v.9 no.4
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• pp.660-677
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• 2013

The blending of defective texture with the ambience texture results in camouflage. The gray value or color distribution pattern of the camouflaged images fails to reflect considerable deviations between the camouflaged object and the sublimating background demands improved strategies for texture analysis. In this research, we propose the implementation of an initial enhancement of the image that employs line masks, which could result in a better discrimination of the camouflaged portion. Finally, the gray value distribution patterns are analyzed in the enhanced image, to fix the camouflaged portions.

• Journal of the Korean Society of Safety
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• v.38 no.1
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• pp.1-8
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• 2023

It is extremely important to design safety-guaranteed industrial processes because such process determine the ultimate outcomes of industrial activities, including worker safety. Application of artificial intelligence (AI) in industrial safety involves modeling industrial safety systems by using vast amounts of safety-related data, accident prediction, and accident prevention based on predictions. As a preliminary step toward realizing AI-based industrial safety in Korea, this study discusses neural network-based modeling of industrial safety systems. The input variables that are the most discriminatory relative to the output variables of industrial safety processes are selected using two information-theoretic measures, namely entropy and cross entropy. Normalized frequency and severity of industrial accidents are selected as the output variables. Our simulation results confirm the effectiveness of the proposed neural network model and, therefore, the feasibility of extending the model to include more input and output variables.

• Journal of Families and Better Life
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• v.8 no.1
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• pp.31-47
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• 1990

The purpose of this study were to investigate: 1) The level of information-processing competencies of children consumers. 2) The differences of information-processing competencises of children consumers according to the cognitive development stage, the variables related to social learning and the socio-ecomonic variables. 3) The independent influences of variables related to information-processing competencies of children consumers. 4) The independent influences of variables related to information-processing competencies of children consumers according to the cognitive development stage. For these purposes, a survey was conducted using questionaires. The questionaires consisted of mother's and child's were distributed to children of second and 6th grade and their mothers of 5 elementary schools in Seoul 634 cases were selected for data analysis. Then, these data were analyzed with statistical methods such as Frequency Distribution, Percentile, Mean, One-way Anova, Scheff -Test, T-Test, Pearson's Correlation and Multiple Regression Analysis. From these finding, the follawing suggestions are made. First, to improve information processing competencies of children consumers, children consumers should be offered the consumer information that is suitable to child's cognitive development stage. Second, the consumer education and learning practical discriminatory competencies on TV ads. should be conducted for children consumers and his mothers. Third, children consumers should have the opportunities to practice as a consumer. The last, children consumers in low-income should be offered the specially educational program.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.140-155
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• 2020

This study was conducted to identify the location characteristics of infected farms in the areas where livestock diseases were clustered(southern Gyeonggi-do and Chungcheong-do), analyze the probability of disease occurrence in poultry farms, find out the areas corresponding to the conditions, and use them as the basis for prevention of livestock diseases, selection of discriminatory prevention zones, and establishment of prevention strategies and as the basic data for complementary measures. The increase of one poultry farm within a radius of 3-kilometers increases the risk of HPAI infection by 10.9% compared to the previous situation. The increase of 1m in distance from major roads with two lanes or more reduces the probability of HPAI infection by 0.001% compared to the previous situation. If the distance of the poultry farm located with 15 kilometers from a major migratory bird habitat increases by 15 to 30 kilometers, the chance of infection with HPAI is reduced by 46.0%. And if the distance of the same poultry farm increase by more than 30 kilometers, the chances of HPAI infection are reduced by 88.5%. Based on the results of logistic regression, the predicted probability was generated and the actual area of the location condition with 'more than 15 poultry farms within 3km a radius of, within 1km distance from major roads, and within 30km distance from major migratory birds habitat was determined and the infection rate was measured. It is expected that the results of this study will be used as basic data for preparing the data and supplementary measures when the quarantine authorities establish discriminatory quarantine areas and prevention strategies, such as preventive measures for the target areas and farms, or control of vehicles, by identifying the areas where livestock diseases are likely to occur in the region.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1084-1086
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• 2003

The aim of this study is to assess the integrated use of different features extracted from spaceborne interferometric synthetic aperture radar (InSAR) data and optical data for land cover classification. Special attention is given to the discriminatory characteristics of the features derived from the multisource data sets. For the evaluation of the features , the statistical maximum likelihood decision rule and neural network classification are used and the results are compared. The performance of each method was evaluated by measuring the overall accuracy. In all cases, the performance of the first method was better than the performance of the latter one. Overall, the research indicated that multisource data sets containing different information about backscattering and reflecting properties of the selected classes of objects can significantly improve the classification of land cover types.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.143-150
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• 2019

LGBT movements have been actively taking place since the late 20th century, 24 countries around the world have fully embraced same-sex marriage as a form of marriage, and implemented it into law. Therefore in this paper, arguments and discussion on prohibition of discrimination due to homosexuality are examined and reviewed under the Constitution of Korea, by looking at the discussion on homosexuality (sexual orientation), which is currently in progress in Korea. However, First, national consensus is deemed absolutely necessary to add a new prohibition ground. Second, specifying the grounds for prohibiting discrimination should take into account historical background and demands of the "oughtness." Third, it should be noted that the grounds for prohibiting discrimination specified in the Constitution are not subject to moral judgment. Fourth, in the case where homosexuality and/or sexual orientation are specified as grounds for prohibiting discrimination, the problems that may occur must be considered. the "National Human Rights Commission Act of Korea" Article 2, Subparagraph 1 defines the concept of "human right(s)," and also in Subparagraph 3, "sexual orientation" is enumerated as an example of "discriminatory act." Therefore, "National Human Rights Commission Act of Korea" Article 2, Paragraph 3 must be deleted.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.401-418
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• 2023

Recently, the socio-economic interest in Large Language Models (LLMs) has been growing due to the emergence of ChatGPT. As a type of generative AI, LLMs have reached the level of script creation. In this regard, it is important to address the issue of discrimination (sexism, racism, religious discrimination, ageism, etc.) in the performing arts in general or in specific performing arts works or organizations in a large language model that will be widely used by the general public and professionals. However, there has not yet been a full-scale investigation and discussion on the issue of discrimination in the performing arts in large-scale language models. Therefore, the purpose of this study is to textually analyze the perceptions of discrimination issues in the performing arts from LMMs and to derive implications for the performing arts field and the development of LMMs. First, BBQ (Bias Benchmark for QA) questions and measures for nine discrimination issues were used to measure the sensitivity to discrimination of the giant language models, and the answers derived from the representative giant language models were verified by performing arts experts to see if there were any parts of the giant language models' misperceptions, and then the giant language models' perceptions of the ethics of discriminatory views in the performing arts field were analyzed through the content analysis method. As a result of the analysis, implications for the performing arts field and points to be noted in the development of large-scale linguistic models were derived and discussed.