• Proceedings of the KIEE Conference
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• 1989.07a
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• pp.233-236
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• 1989

This paper deals with the expert system using network configuration and input information composed of protective relays and tripped circuit breakers. This system has knowlegebase independent on network dimension because network representation consists of the type of the matrix. Therefore, the knowlege of network representation is simplified, the space of knowlege is reduced, the addition of facts to the knowlege is easy and the expansion of facts is possible. In this paper, the network representation is defined to system matrix. This expert system based on the system matrix diagnoses normal, abnormal operations of protective devices as well as possible fault sections. The brach and bound search technique is used: breadth first technique mixed with depth first technique of primitive PROLOG search technique. This system will be used for real time operations. This expert system obtaines the solution using the pattern matching in working memory without no listing approach for rule control. This paper is written in PROLOG, the A.I. language.

• Journal of applied mathematics & informatics
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• v.10 no.1_2
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• pp.333-351
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• 2002

This paper introduces a search method based on conceptual graph. A hyperlink information is essential to construct conceptual graph in web. The information is very useful as it provides summary and further linkage to construct conceptual graph that has been provided by human. It also has a property which shows review, relation, hierarchy, generality, and visibility. Using this property, we extracted the keywords of web documents and made up of the conceptual graph among the keywords sampled from web pages. This paper extracts the keywords of web pages using anchor text one out of hyperlink information and makes hyperlink of web pages abstract as the link relation between keywords of each web page. 1 suggest this useful search method providing querying word extension or domain knowledge by conceptual graph of keywords. Domain knowledge was conceptualized knowledged as the conceptual graph. Then it is not listing web documents which is the defect of previous search system. And it gives the index of concept associating with querying word.

• Journal of Information Processing Systems
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• v.7 no.4
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• pp.561-580
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• 2011

This paper describes different aspects of a typical RFID implementation. Section 1 provides a brief overview of the concept of Automatic Identification and compares the use of different technologies while Section 2 describes the basic components of a typical RFID system. Section 3 and Section 4 deal with the detailed specifications of RFID transponders and RFID interrogators respectively. Section 5 highlights different RFID standards and protocols and Section 6 enumerates the wide variety of applications where RFID systems are known to have made a positive improvement. Section 7 deals with privacy issues concerning the use of RFIDs and Section 8 describes common RFID system vulnerabilities. Section 9 covers a variety of RFID security issues, followed by a detailed listing of countermeasures and precautions in Section 10.

• Korean Business Review
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• v.13
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• pp.159-178
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• 2000

Tax assistance system in Korea is a one that is designed by the central government to achieve specific policy objectives through the tax relief for economic activities or specific industries, leading to the development of the industries, Thus, the purpose of this study is to see if the government's direct tax assistance system for small and medium manufacturing firms is effective and then to contribute to establishing necessary policies for an effective tax assistance system based on the identification of a direct assistance system that is substantially useful to those firms. T- test was performed to see if there was a difference in tax burden between small and medium manufacturing firms and small and medium non-manufacturing firms and also to see whether the direct assistance system was effective. The results obtained from the statistical analyses are as follows: (1) The tax reduction rule applied to small and medium firms was turned out to be effective based on the fact that the effective tax rates of the small and medium firms to which the rule was applied were, on the average, significantly lower than those of the Listing large corporation which did not receive the tax benefit and also on the fact that the tax savings rates of the small and medium firms which could apply the rule were, on the average, significantly higher than those of the Listing large corporation to which the rule was not applied. (2) The tax credit rule applied to small and medium manufacturing firms was also turned out effective based on the same fact as described in the case of the application of the tax reduction rule.

• Journal of the Korean Society for Library and Information Science
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• v.1
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• pp.1-58
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• 1970

As to the structure of author tables for the Korean libraries using the Korean alphabet Hangul for filing, no other system is understood more relevant to author notations than the analytico-synthetic system. The Korean character consists of syllables respectively dividual into 'consonant+vowel' or 'consonant+vowel+consonant,' with the first element a consonant and the second a vowel. When these elements are synthesized with figure representation, they make an enumerative two-figure table. Individualizing and assigning, therefore, are done without listing many en-tries on the table or looking up notations in ready-made enumerative author tables. We still do not have general agreements in form of entry, reading of the Japanese and Chinese names, transliteration of foreign words, and filing system. What is more, so flexible and hospitable a notation system should be adopted as to meet the anticipated changes. The writer introduces an author notation system that could make 150,000 divisions by combinating figures, thus making it possible to endure changes through readjustments. It is considered effective, convenient, and efficacious for individualization.

• Journal of Korea Multimedia Society
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• v.25 no.1
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• pp.135-143
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• 2022

In order to convert Korean folk paintings called Minhwa, a part of traditional Korean heritage, into DBs, it is necessary to design a classification system suitable for the characteristics of folk paintings. A classification system and the generating of unique codes are required to classify and save them. To realize this, a basic classification system was created by listing objects depicted in folk paintings, and keywords were extracted by reclassifying them for each object. In order to assign a unique code to each piece, we organize the English names of each Minhwa since the English names of the folk painting contain the names of objects. The code name is extracted by applying the order of nouns and consonant priority rules in English names and attaching five Arabic numerals. These codes are later assigned to each image file stored in the database and are input together with the keyword. The Minhwa DB constructed in this way enables storage and search centered on objects and keywords and the intuitive inferring of the type of object from the code name.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.2
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• pp.241-262
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• 2010

This study aims to perform an evaluation of classification systems provided by major Korean search portals, Naver, Nate, Daum, and Yahoo-Korea. These classification systems are evaluated in terms of the consistency of classification system, logicality of classification system, ease of interface, clarity of category names, order of category and site listing, and hierarchical structure. The results of this study show that each search portal provides separate classification systems for their services. These results imply that it is crucial for search portals to implement a common classification system and a common interface for their services. This study could contribute to the development and improvement of portals' classification systems.

• Korean Journal of Oriental Medicine
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• v.9 no.2
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• pp.33-43
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• 2003

The international government committee is progressing their agreements about intellectual property protection of traditional knowledge(TK), gene resource(GR), folklore(FL) in WIPO. It is in the course of selection with precedence of TK, GR, FL in WIPO, focused on discussions about listing of TK documents, standardization of DB construction, sharing and profit distribution of GR. We made some plans to deal with agreements in WIPO. These plans consist of 5 subjects which are investigation about intellectual property related laws and systems, study of examination and finding, construction of DB information, development of value evaluation system, development of industrialization system with TK, GR, We suggest preceding details about 5 subjects respectively. It is the character of this plan that patent information DB system of TK, GR is the axis. It is the most important thing in these plans to succeed that we have to have connections with expert groups in order parts and government officials, taking whole supports of government because our traditional medical related study basis is weak.

• Asia-Pacific Journal of Business
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• v.10 no.4
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• pp.167-180
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• 2019

The purpose of this paper is to explore Laos mysterious 'Plain of Jars' area in a village. 'The Plain of Jars' site has been proposed for listing as a UNESCO World Heritage Monument. The study used convenience sampling and surveyed tourists who visited Tonghahin in Xieng Khouang. The results of this study are summarized as follows: First, Tonghahin is introduction stage from the tourism life cycle due to lack of basic infrastructure such as road condition, transportation, information service, etc,. Second, this study examined the ways to improve methods such as adminstration system and hospitality service manual for tourist site. Thereafter, third, to develop each attraction, they have come with better tourism products. These things are foresight-able to-do list for nomination as the UNESCO World Heritage. The recommendations and suggestions for future research are also discussed.

• Journal of information and communication convergence engineering
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• v.20 no.2
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• pp.96-102
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• 2022

We aim to build predictive models for Airbnb's prices using a GPU-accelerated RAPIDS in a big data cluster. The Airbnb Listings datasets are used for the predictive analysis. Several machine-learning algorithms have been adopted to build models that predict the price of Airbnb listings. We compare the results of traditional and big data approaches to machine learning for price prediction and discuss the performance of the models. We built big data models using Databricks Spark Cluster, a distributed parallel computing system. Furthermore, we implemented models using multiple GPUs using RAPIDS in the spark cluster. The model was developed using the XGBoost algorithm, whereas other models were developed using traditional central processing unit (CPU)-based algorithms. This study compared all models in terms of accuracy metrics and computing time. We observed that the XGBoost model with RAPIDS using GPUs had the highest accuracy and computing time.