• Journal of the Korean Society for Library and Information Science
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• v.50 no.3
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• pp.513-532
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• 2016

Legal deposit is a system that a person who publishes in the country a work shall deposit a certain copies of publications in designated libraries or institutions in order to preserve and transfer national knowledge and culture heritage. Under "Libraries Act" and "National Assembly Library Act", depositors shall present books to the Library and the Library shall properly compensate him/her for such copies presented. This study focuses on presentation and proper compensation of books. This study has reviewed laws and regulations about them in major countries and our country, and analyzed the current status and some problems of our country. This study has analyzed the constitutionality of legal deposit, the refusal of copies presented, and the meaning of proper compensation through analyzing cases on legal deposit. Based on these analyses, it has proposed the modification of regulations on presentation and proper compensation of books, the establishment of specific rules on proper compensation, and the penalties on unfair presentation.

• Journal of National Security and Military Science
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• s.7
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• pp.1-24
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• 2009

This article deals with military thought in general. First I tried to distinguish 'thought' from 'theory', 'philosophy', and 'principle'. Thought means the act of thinking about or considering something, an idea or opinion, or a set of ideas about a particular subject, e.g. military affairs in the present discussion. Theory means a formal statement of the rules on which a subject of study is based or of ideas which are suggested to explain a fact or event or, more generally, an opinion or explanation. Philosophy means the use of reason in understanding such things as the nature of reality and existence, the use and limits of knowledge. Principle means a basic idea or rule that explains or controls how something happens or works. Chapter 3 summarized the characteristics of military thoughts into five points', (i) it is closely related with concrete experiences of a nation; (ii) it includes philosophical and logical arguments; (iii) it relies heavily on the political thought of a nation; (iv) it includes necessarily value-judgments; (v) it contains visions of a nation which are not only descriptions or explanations of military affairs, but also evaluations and advocacies. Chapter 4 considers the relation of international political thoughts to military thought. Throughout the history of the modem states system there have been three competing traditions of thought: the Hobbesian or realist tradition, which views international politics as a state of war; the Kantian or universalist tradition, which sees at work in international politics a potential community of mankind; and the Grotian or internationalist tradition, which views international politics as taking place within an international society. Chapter 5 considers the law of war, which is a body of law concerning acceptable justifications to engage in war (jus ad bellum) and the limits to acceptable wartime conduct (jus in bello). Among other issues, modem laws of war address declarations of war, acceptance of surrender and the treatment of prisoners of war, military necessity along with distinction and proportionality, and the prohibition of certain weapons that may cause unnecessary suffering.

• Journal of the Korean Society for information Management
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• v.18 no.4
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• pp.37-55
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• 2001

The purpose of this study is to present a text summarization system using a knowledge base containing information about verbs and their arguments that are statistically obtained from a subject domain. The system consists of two modules: the training module and the summarization module. The training module is to extract cue verbs and their basic sentence patterns by counting the frequency of verbs and case markers respectively, and the summarization module is substantiate basic sentence patterns and to generate summaries. Basic sentence patterns are substantiated by applying substantiation rules to the syntactics structure of sentences. A summary is then produced by connecting simple sentences that the are generated through the substantiation module of basic sentence patterns. ‘robbery’in the daily newspapers are selected for a test collection. The system generates natural summaries without losing any essential information by combining both cue verbs and essential arguments. In addition, the use of statistical techniques makes it possible to apply this system to other subject domains through its learning capability.

• Journal of Internet Computing and Services
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• v.11 no.4
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• pp.107-117
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• 2010

The feature models representing the common and variable concepts among the software products and the feature configurations generated by selecting the features to be included in the target product are the essential components in the software product lines methodology. Although the researches on the formal semantics and reasoning of the feature models and feature configurations are in progress, the researches on feature model ontologies and feature configuration validation using the semantic web technologies are yet insufficient. This paper defines the formal semantics of the feature models and proposes a feature configuration validation technique based on ontology and semantic web technologies. OWL(Web Ontology Language), a semantic web standard language, is used to represent the knowledge in the feature models and the feature configurations. SWRL(Semantic Web Rule Language), a semantic web rule languages, is used to define the rules to validate the feature configurations. The approach in this paper provides the formal semantic of the feature models, automates the validation of feature configurations, and enables the application of various semantic web technologies, such as SQWRL.

• Journal of the Korea Institute of Building Construction
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• v.20 no.1
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• pp.73-81
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• 2020

The main purpose of the study is to reduce the accident death rate in the construction industry. To achieve this goal, the safety planning tasks were analyzed and assessed in terms of the importance and preventive effects of the tasks. Through the extensive literature reviews, the safety planning tasks were identified and reviewed by safety managers. based on the safety planning tasks developed in the previous stage, a survey was conducted in order to receive responses by experts with knowledge on the effects and importance of preventive measures for safety. Then, the Importance Performance Analysis(IPA) method was employed to identify the safety manager's tasks that have an effect on performance indicators. Advice and guidance on making the employment rules, etc. (#18) and details about participation and consultation at the Occupational Safety and Health Committee (#16) were found to require revision and improvement of details and guidelines. The effective safety tasks identified are expected to have a critical role in reducing the accident death rate in the construction industry.

• Journal of Bio-Environment Control
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• v.12 no.1
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• pp.30-37
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• 2003

An expert system was developed for the stress diagnosis of cucumber and tomato using FoxPro. The principle points in building the system were integration with Korean, effective processing of mass information, and easy access for non-experts such as farmers. The method of inferencing was forward chaining based on pattern matching. Knowledge base was expressed with IF∼THEN rules and was expressed in the form of tree. Also, the expert system was designed so that additions and modifications of all information could easily be performed on windows. The results tested by farmers with the developed system showed that the expert system was reliable for the practical use. It was expected the expert system could be directly applied to the stress diagnosis of other vegetable plants by modifying only data bases.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.225-238
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• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play that reflects the social activities of gamers: In a Massively Multi-user Online Role Playing Game (MMORPG), party play log includes a distinguished information that can classify game users under normal-user and abnormal-user. That is because the bot users' main activities target on the acquisition of cyber assets. Through a statistical analysis of user behaviors in game activity logs, we establish the threshold levels of the activities that allow us to identify game bots. Also, we build a knowledge base of detection rules based on this statistical analysis. We apply these rule reasoner to the sixth most popular online game in the world. As a result, we can detect game bot users with a high accuracy rate of 95.92%.

• Journal of Internet Computing and Services
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• v.16 no.2
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• pp.57-66
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• 2015

Considerable research efforts are being directed towards analyzing unstructured data such as text files and log files using commercial and noncommercial analytical tools. In particular, researchers are trying to extract meaningful knowledge through text mining in not only business but also many other areas such as politics, economics, and cultural studies. For instance, several studies have examined national pending issues by analyzing large volumes of text on various social issues. However, it is difficult to provide successful information services that can identify R&D documents on specific national pending issues. While users may specify certain keywords relating to national pending issues, they usually fail to retrieve appropriate R&D information primarily due to discrepancies between these terms and the corresponding terms actually used in the R&D documents. Thus, we need an intermediate logic to overcome these discrepancies, also to identify and package appropriate R&D information on specific national pending issues. To address this requirement, three methodologies are proposed in this study-a hybrid methodology for extracting and integrating keywords pertaining to national pending issues, a methodology for packaging R&D information that corresponds to national pending issues, and a methodology for constructing an associative issue network based on relevant R&D information. Data analysis techniques such as text mining, social network analysis, and association rules mining are utilized for establishing these methodologies. As the experiment result, the keyword enhancement rate by the proposed integration methodology reveals to be about 42.8%. For the second objective, three key analyses were conducted and a number of association rules between national pending issue keywords and R&D keywords were derived. The experiment regarding to the third objective, which is issue clustering based on R&D keywords is still in progress and expected to give tangible results in the future.

• The KIPS Transactions:PartB
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• v.15B no.1
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• pp.45-52
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• 2008

As the recent development of the IT services, there is a urgent need of effective diagnosis system to present appropriate solution for the complicated problems of breakdown control, a cause analysis of breakdown and others. So we propose an intelligent diagnosis system that integrates the case-based reasoning and the artificial neural network to improve the system performance and to achieve optimal diagnosis. The case-based reasoning is a reasoning method that resolves the problems presented in current time through the past cases (experience). And it enables to make efficient reasoning by means of less complicated knowledge acquisition process, especially in the domain where it is difficult to extract formal rules. However, reasoning by using the case-based reasoning alone in diagnosis problem domain causes a problem of suggesting multiple causes on a given symptom. Since the suggested multiple causes of given symptom has the same weight, the unnecessary causes are also examined as well. In order to resolve such problems, the back-propagation learning algorithm of the artificial neural network is used to train the pairs of the causes and associated symptoms and find out the cause with the highest weight for occurrence to make more clarified and reliable diagnosis.

• Journal of radiological science and technology
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• v.44 no.5
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• pp.545-554
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• 2021

According to the changes of the medical environment of the times, it is necessary to discuss the issues of the doctor's medical guidance and to conduct continuous research so that alternatives can be prepared systematically. Furthermore, in order to enhance the professionalism of radiological technologists and to develop the medical technician system, the new Radiological Technologist Independent Act has been established, which contains the overall contents of the scope of work, professional qualifications, and specialized education of radiological technologists, and provides quality medical services to patients through professional procedures and treatment. In order to increase the level of medical care, the purpose, definition, mission, role, and scope of work specified in the Medical Act, Medical Service Technologists, etc. Act, the Enforcement Decree, and the Enforcement Rules were variously analyzed and new directions were presented. First, the definition of a medical technician should use a generic term so that the factors of conflict and prejudice could be resolved. Second, change the doctor's guide to doctor's prescription; and then legislate the authority to sign and write medical records after examination by radiological technologists, thereby prohibiting unlicensed technicians that seriously endanger patient safety. Third, an accurate definition of radiological technologists' roles should be established; not only selection and management of radiological technologists' work but also procedures and treatment for each radiology field should be specified to suit the current medical system. Fourth, a professional radiological technologists' qualification system and a specialized education system should be established in order to secure human resources that could provide patients trust in procedures and treatment based on professional knowledge and experience in the field of radiology. Fifth, the Education and Evaluation Institute should be operated in Korea education system to educate the professional knowledge and competency for students. In addition, it is necessary to in-depth analysis of foreign cases could be applied to the medical system and education system in Korea; it could strive to nurture systematic human resources.