• Journal of KIISE:Databases
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• v.29 no.5
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• pp.367-380
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• 2002

Due to recent increase in applications requiring huge amount of data such as spatial data analysis and image analysis, clustering on large databases has been actively studied. In a hierarchical clustering method, a tree representing hierarchical decomposition of the database is first created, and then, used for efficient clustering. Existing hierarchical clustering methods mainly adopted the bottom-up approach, which creates a tree from the bottom to the topmost level of the hierarchy. These bottom-up methods require at least one scan over the entire database in order to build the tree and need to search most nodes of the tree since the clustering algorithm starts from the leaf level. In this paper, we propose a novel top-down hierarchical clustering method that uses multidimensional indexes that are already maintained in most database applications. Generally, multidimensional indexes have the clustering property storing similar objects in the same (or adjacent) data pares. Using this property we can find adjacent objects without calculating distances among them. We first formally define the cluster based on the density of objects. For the definition, we propose the concept of the region contrast partition based on the density of the region. To speed up the clustering algorithm, we use the branch-and-bound algorithm. We propose the bounds and formally prove their correctness. Experimental results show that the proposed method is at least as effective in quality of clustering as BIRCH, a bottom-up hierarchical clustering method, while reducing the number of page accesses by up to 26～187 times depending on the size of the database. As a result, we believe that the proposed method significantly improves the clustering performance in large databases and is practically usable in various database applications.

• Journal of Korean Philosophical Society
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• v.123
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• pp.309-346
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• 2012

The trust toward the researchers and their study activities in society has faltered, in the wake of the paper fabrication event of researcher, Hwang Woo-Suk's doctor research team. After the event, researcher community and scientific community have experienced many changes through the self-reflection or the process of insight meditation. Until now, we have experienced that when researcher community leads the way to try to show their efforts to eliminate the raised doubts throughly, the public support toward researcher community and the trust in its study activity have not faltered. Nevertheless, the path for the researchers to go is still far and rough because the opposite cases coping with research misconducts passively are much more. Therefore It's urgent that misconducts in the research and learning should be avoided from unnecessary overinterpretation. To practice it, above all it's important how well researcher or learner should be equipped with a system where decision is made autonomously and reasonably, regardless of the interests from all fields including politic, economic and social etc. It's also required that their systems should be meticulous enough to prevent such irrationality in advance before the misconduct instances are depreciated. In this context, I will investigate the reason why research and development on norms in research ethics and learning ethics is meaningful, not in a posteriori but a priori dimension, as the way to have researcher and learner prepare autonomous self-purification systems. It's essential that for the progress of an obvious argument, first, what research ethics and learning ethics are should be established and defined distinctly(2). Then in the process, it is also examined why research ethics and learning ethics need norms(3). Subsequently I will conclude the paper, arguing the reason why research ethics and learning ethics should be justified(4), if the norms in research ethics and learning ethics can be formulated(5).

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.836-848
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• 2019

This paper aims at providing a critical view over the cybernetics theory especially of first generation on which the artificial intelligence heavily depends nowadays. There has been a commonly accepted thought that the conception of artificial intelligence could not has been possible without being influenced by N. Wiener's cybernetic feedback based information system. Despite the founder of contemporary cybernetics' ethical concerns in order to avoid an increasing entropy phenomena(social violence, economic misery, wars) produced through a negative dynamics of the western modernity regarded as the most advanced form of humanism. In this civilizationally changing atmosphere, the newly born cybernetic technology was thus firmly believed as an antidote to these vices deeply rooted in humanism itself. But cybernetics has been turned out to be a self-organizing, self-controlling mechanical system that entails the possibility of telegraphing human brain (which are transformed into patterns) through the uploading of human brain neurons digitalized by the artificial intelligence embedded into computing technology. On this background emerges posthuman (or posthumanism) movement of which concepts have been theorized mainly by its ardent apostles like N. K. Hayles, Neil Bedington, Laurent Alexandre, Donna J. Haraway. The converging of NBIC Technologies leading to the opening of a much more digitalizing society has served as a catalyst to promote the posthuman representations and different narratives especially in the contemporary visual arts as well as in the study of humanities including philosophy and fictional literature. Once Bruno Latour wrote "Modernity is often defined in terms of humanism, either as a way of saluting the birth of 'man' or as a way of announcing his death. But this habit is itself modern, because it remains asymmetrical. It overlooks the simultaneous birth of 'nonhumaniy' - things, or objects, or beasts, - and the equally strange beginning of a crossed-out God, relegated to the sidelines."4) These highly suggestive ideas enable us to better understand what kind of human beings would emerge following the dazzlingly accelerating advancement of artificial intelligence technology. We wonder whether or not this newly born humankind would become essentially Homo Artificialis as a neuronal man stripping off his biological apparatus. However due to this unprecedented situation humans should deal with enormous challenges involving ethical, metaphysical, existential implications on their life.

• Korean Journal of Clinical Laboratory Science
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• v.55 no.2
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• pp.71-81
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• 2023

This study examined the transition process of clinical laboratory technologists' national examination and job definition in Korea and compared the differences in the national examination between Korea and neighboring countries, such as Japan and Taiwan. In Korea, the number of questions made for it was 200 (1965), 200 (1977), 300 (1982), 250 (1992), 330 (2006), and 280 (2015). The practice of clinical physiology is important for real-time monitoring, given the characteristics of physiological testing. On the other hand, there are conflicts between other occupations in the working area. Clinical molecular biology needs to be established as a new major subject considering the diagnostic importance of molecular biological tests and the speed of science and technology development. Clinical laboratory operations provide policy and guidance recommendations to technologist staff. The proposed clinical laboratory technologists' national examination comprises major subjects: clinical biochemistry, clinical hematology, clinical transfusionology, clinical immunology, clinical microbiology, clinical molecular biology, clinical histology, clinical cytology, clinical physiology, and clinical laboratory operations. In addition, this study proposes the job definition of clinical laboratory technologists, revising various chemical or physiological testing to biomedical or physiological testing required for medical practice.

• The Korean Journal of Archival Studies
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• no.71
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• pp.5-48
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• 2022

This study explored recent discussions, experiments, and case studies related to the appraisal of digital records, which was focused on datasets and websites. Based on this, it proposed what issues should be addressed for developing appraisal policies. To this end, it categorized appraisal criteria that can be applied to digital records, examined the arguments that in the digital environment total retention is necessary in the era of big data, and that selective retention is still necessary, based on the literature review. Subsequently, after analyzing case studies conducted on datasets and websites, the study dealt with what discussions should be made in terms of targets, tools, objectives of appraisal, and roles/responsibilities which used to develop appraisal policy. This study addressed the following questions to reveal current debates and challenges; First, what appraisal criteria can be applied to digital records in general; second, is the appraisal activities still necessary in the era of digital environment and big data; third, what are the results that case studies produced for the appraisal of digital records; fourth, what changes are expected in the future regarding the appraisal. Based on these questions, it tried to reveal the main issues necessary to develop the appraisal policies that can be applied to various types of digital records created in the public domain.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.115-127
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• 2021

With the development of science and technology around the world, the realm of cyberspace, following land, sea, air, and space, is also recognized as a battlefield area. Accordingly, it is necessary to design and establish various elements such as definitions, systems, procedures, and plans for not only physical operations in land, sea, air, and space but also cyber operations in cyberspace. In this research, the importance of cyber targets that can be considered when prioritizing the list of cyber targets selected through intermediate target development in the target development and prioritization stage of targeting processing of cyber operations was selected as a factor to be considered. We propose a method to calculate the score for the cyber target and use it as a part of the cyber target prioritization score. Accordingly, in the cyber target prioritization process, the cyber target importance category is set, and the cyber target importance concept and reference item are derived. We propose a TIR (Target Importance Rank) algorithm that synthesizes parameters such as Event Prioritization Framework based on PageRank algorithm for score calculation and synthesis for each derived standard item. And, by constructing the Stuxnet case-based network topology and scenario data, a cyber target importance score is derived with the proposed algorithm, and the cyber target is prioritized to verify the proposed algorithm.

• Journal of the Korean earth science society
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• v.34 no.3
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• pp.249-256
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• 2013

For the purpose of recording polarization of the earth's atmosphere, the entire sky was photographed using the all-sky camera when the Sun was just above the horizon. The ratio and width of polarization were defined using the photograph, and a method to measure them was developed. Time-series photography of the polarization ratio and its width enabled us to qualitatively analyze the polarization phenomena which changes depending on the weather conditions. Findings indicated that polarization was co-related with air pollutants in a meaningful way. The polarization phenomena of the Earth's atmosphere are influenced by air pollutants. The more air pollutants exist in the air, the lower polarization ratio and the bigger polarization width it has. It is suggested that air pollutants disperses more photons, which makes it possible to observe the polarization phenomena in the vast area of the sky.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.899-912
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• 2009

With greater utilization of web application and growth of its market, the function of such application is being expanded With today's increasing demand for high quality software, we see a sharp rise in the interest for web application test. The current trend is that web applications are being developed based on a framework of developmental environment. Hence, as the scope of that framework expands, each module of the entire web application is being configured by the combination of heterogeneous files. The distinctive characteristics of a web application are based on the fact that the framework that is provided in partially completed form controls the structure of all objects of development. The present study defines the web business logic as a minimal unit which has meaning as a unit of application for the web application. In this paper, we define web business logic as a least meaningful execution unit of web applications, propose how to generate automatically the BizUnit test code for it, and analyze the effectiveness of testing of the web application via the BizUnit test codes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.263-281
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• 2017

Global optimization that considers the processes at integrated steel mills is more important than the local optimization to improve the efficiency of a single process. Research utilizing mathematical models at integrated steel mills predominantly focus on solving problems solely for a specific process or focusing on what techniques are applied to. However, it is important to define the problems that must be solved at the steelworks, identify the objectives and constraints that can be modeled, and selection of methodologies that can be applied to the problems. The purpose of this study is to investigate the problems in improving efficiency at integrated steel mills from the viewpoint of production & operations management. We review the research have been conducted in order to solve those problems. We classified the research into 6 categories and suggested future research direction based on the global optimization. It is expected that research themes for improving the efficiency at integrated steel mills will be derived.

• Journal of KIISE:Software and Applications
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• v.35 no.5
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• pp.325-334
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• 2008

The goal of text categorization is to classify documents into a certain number of pre-defined categories. The previous studies in this area have used a large number of labeled training documents for supervised learning. One problem is that it is difficult to create the labeled training documents. While it is easy to collect the unlabeled documents, it is not so easy to manually categorize them for creating training documents. In this paper, we propose a new text categorization method based on semi-supervised learning. The proposed method uses only unlabeled documents and keywords of each category, and it automatically constructs training data from them. Then a text classifier learns with them and classifies text documents. The proposed method shows a similar degree of performance, compared with the traditional supervised teaming methods. Therefore, this method can be used in the areas where low-cost text categorization is needed. It can also be used for creating labeled training documents.