• 한국의료질향상학회지
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• 제12권1호
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• pp.104-112
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• 2006

Background : The necessity of unify and standardize codes used at hospital has been emphasized since OCS (Order Communicating System) was adopted. Therefore, the purpose of this study were to standardize operation code by continuous training of the ICD-9-CM code that is used as standard code in OCS program at operating room. Method : In 400 operation data, operation code entered in OCS program at operating room was compared to operation name recorded in medical record. In addition, a matching rate between input data of operation code by medical record department and computing input data of operation code in 3,710 cases was compared for each department. User operation name and operation code were matched and major diagnosis by operation department and operation name were also matched. Results : User operation name was reflected in operation classification code in detail, and operation code entered on user was registered. Input rate and matching rate of operation code were gradually improved after improvement activity. In particular, a matching rate was high at ophthalmology where operation name is segmented. Plastic surgery and orthopedics with a lot of emergency operation and comprehensive operation name show low input rates. Conclusions : As the medical field makes progress in computerlization, awareness of information exchange and sharing becomes higher. Among codes to classified medical institution, codes related to surgical operation are all different by user of hospital and department. Computerlization and standardization is essential. And when efforts of standardization continue in alliance with individual hospital and institution, initiative of preparing medical policy data at a national level will be accelerated.

• 한국산학기술학회논문지
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• 제7권4호
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• pp.594-601
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• 2006

통계청에서 실시하는 통계 조사에는 한국 표준 산업/직업 분류 코드를 작성하는 작업이 많이 포함되는데, 현재 대부분의 코드 분류 작업은 수작업으로 이루어지고 있으며, 이로 인하여 막대한 노동력과 비용이 소모되고 작업결과의 일관성을 유지하기 어렵다는 문제점이 있다. 본 논문은 수동 코드 분류 규칙과 예제기반의 자동 학습을 이용하는 한국어 표준 산업/직업 코드 자동 분류 시스템을 제안한다. 제안된 시스템은 산업과 직업에 대하여 설명하는 자 연어를 입력받아 해당 산업/직업 분류 코드를 생성하는 시스템으로 수작업으로 구축된 규칙을 적용한 후 규칙이 적용되지 않는 레코드는 예제 기반의 학습을 이용한 자동 분류 시스템에 의해서 해당 코드를 할당한다. 수작업 규칙 260여개와 40만여개의 예제를 이용하여 학습한 시스템에 대하여 실험한 결과 제안한 시스템은 직업 코드 분류에서 76.69% 그리고 산업 코드 분류에서는 99.68%의 정확도를 보였다.

• 한국도서관정보학회지
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• 제15권
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• pp.113-151
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• 1988

The enumerative classification schemes do not represent the tiny mass of knowledge embodied in a article in a periodical or in a chapter or a paragraph of a book. But today's information centers regard a tiny spot of knowledge embodied in a article as a class. we call this micro-thought. But the enumerative classification are manual systems, it cannot be a n.0, pplied to the automation of classification. The purpose of this study is to build a general principle for the automatic book-classification which can be put to use in library operation, and to present a methodology of the automatic classification for the library. The methodology used is essentially theoretical, Published works by and about Ranganathan, especially 6th edition of the CC were studied, analyzed. The principle of automatic book classification derived from the analysis of colon classification and facet combinations. The results of this study can be summarized as follows ; (1) This study confined the fields of library science and agriculture. (2) This study represent a general principles for the automatic book classification of library science and agriculture. (3) Program flowcharts are designed as a basis of system analysis and program procedure in library science and agriculture. (4) The principles of the automatic classification in library, science is different from that of agriculture. (5) Automatic book classification can be performed by the principle of faceted classification, by inputting the title and subject code into a computer. In addition, the expected value from the automatic book-classification is as follows (1) The prompt and accurate of classification is possible. (2) Though a book is classified in any library, it can have same classification number. (3) The user can retrieve the classification code of a book for which he or she wants to search through dialogue with the computer. (4) Since the concept coordination method is employed, a tiny mass of knowledge embodied in a article in a periodical or in a chapter or a paragraph of a book can be represented as a class. (5) By performing automatic book-classification, the automation of library operation can be completed.

• 한국도서관정보학회지
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• 제11권
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• pp.175-209
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• 1984

The purpose of this study is to build a general principle for the automatic book-classification which can be put to use in library operation, and to present a methodology of the automatic classification for the library. Since the enumerative classification scheme which exist as manual systems cannot be a n.0, pplied to the automation of classification, the principles of Colon Classification by S.R. Ranganathan is brought in and studied. The result of the study can be summarized as follows: (1) Automatic book-classification can be performed by the principles of faceted classification. (2) This study presents a general and an a n.0, pplication principles for the automatic book-classification. (3) File design for the automatic book-classification of a general classification is different from that of special classification, (4) The methodology is to classify the literature by inputting the title into a terminal. In addition, the expected Value from the Automatic Book-classification is as follows: (1) The prompt and accurate process of classification is possible. (2) Though a book is classified in any library it can have the same classification number. (3) The user can retrieve the classification code of a book for which he or she wants to search through the dialogue with the computer. (4) Since the concept coordination method is employed, even the representing of a multi-subject concept is made simple. (5) By performing automatic book-classification, the automation of library operation can be completed.

• 한국철도학회논문집
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• 제12권5호
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• pp.819-828
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• 2009

본 연구에서는 효율적이고 신속한 철도사고처리를 위해 임시복구 표준화(code) 및 표준운영체계(안)을 제시하고 있다. 우선, 철도사고유형을 국내 외 철도사고유형별 피해종류로 재분류하였으며, 이를 관련분야, 복구대상, 사고위치의 3자리 표준화된 코드로 제시하였다. 또한, 임시복구 표준운영체계(안) 수립방법을 정립하고 표준화된 임시복구 유형별 최악의 경우(worst case)와 임시복구절차 수립을 위한 중요항목(event)을 도출하여 임시복구유형별 임시복구 표준운영절차를 제시하였다. 이러한 표준화(code) 및 표준운영절차는 철도사고 DB관리, 신속한 사고처리 및 피해최소화를 위한 철도사고 비상대응관리체계 구축에 중요한 역할을 담당할 수 있을 것이다.

• Nuclear Engineering and Technology
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• 제47권4호
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• pp.443-453
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• 2015

A hybrid safety injection tank (H-SIT) can enhance the capability of an advanced power reactor plus (APR+) during a station black out (SBO) that is accompanied by a severe accident. It may a useful alternative to an electric motor. The operations strategy of the H-SIT has to be investigated to achieve maximum utilization of its function. In this study, the master logic diagram (i.e., an analysis for identifying the differences between an H-SIT and a safety injection pump) and an accident case classification were used to determine the parameters of the H-SIT operation. The conditions that require the use of an H-SIT were determined using a decision-making process. The proper timing for using an H-SIT was also analyzed by using the Multi-dimensional Analysis of Reactor Safety (MARS) 1.3 code (Korea Atomic Energy Research Institute, Daejeon, South Korea). The operation strategy analysis indicates that a H-SIT can mitigate five types of failure: (1) failure of the safety injection pump, (2) failure of the passive auxiliary feedwater system, (3) failure of the depressurization system, (4) failure of the shutdown cooling pump (SCP), and (5) failure of the recirculation system. The results of the MARS code demonstrate that the time allowed for recovery can be extended when using an H-SIT, compared with the same situation in which an H-SIT is not used. Based on the results, the use of an H-SIT is recommended, especially after the pilot-operated safety relief valve (POSRV) is opened.

• 한국항해항만학회지
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• 제38권1호
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• pp.59-64
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• 2014

지구온난화로 인해 극지방의 해빙속도가 빠르게 증가하고 있으며, 이러한 환경변화로 북극항로에 대한 관심은 북극해 주변국뿐만 아니라, 먼 이웃국가들에게까지 확산되고 있다. 과거 극지역을 항해하는 선박에 대한 설계 및 운용과 관련된 선급 규칙은 주로 북극해에 인접한 러시아, 노르웨이, 핀란드에 의해서 주로 개정되어 왔다. 그러나 국제해사기구(IMO)에서는 극지해역을 운항하는 선박에 대한 안전성을 확보하기 위해, 강제규정인 극지방운항선박 안전코드(Polar Code)를 제정하기로 결정하였으며, 현재 2014년에 개발을 완료할 예정이다. 본 논문은 이러한 극지방운항선박 안전코드의 제정 현황을 파악하고, 앞으로 극지방운항선박 안전코드의 제정을 위한 우리나라의 각 기관의 역할 및 시사점 대해 분석하고자 한다.

• 대한디지털의료영상학회논문지
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• 제8권1호
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• pp.39-43
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• 2006

PACS has been run at the Kyung Hee University Medical Center since 2001, and the installation and operation of PACS have contributed to automation and quantification of center's medical environment. In order to classify tile annual number of trouble cases processed by PACS, the authorshave made a classification code system which enabled detailed statistical processes for each section. Such process method has not only shown the management efficiency to trouble management of PACS, but also raised the interests in frequently occurring troubles, and enabled the prediction of troubles that may occur hereafter. Predictable troubles lead to preventive check, and this has direct effects on medical treatment and the hospital administration. The authors intend to arouse the necessity of preventive check of PACS by analyzing trouble management processes for the last 1 year.

• 상하수도학회지
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• 제29권6호
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• pp.651-657
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• 2015

Recently, the need for asset management(AM) plan introduction to reduce increasing O&M cost with aging water facilities is on the rise. Therefore, asset inventory classification is necessary as the first step for AM plan construction. In this study, all assets of YW water treatment plant(WTP) were classified as 5 steps. In addition, specific code name was given to each asset which can increase compatibility in constructing the AM programs among WTPs. In the future, codes for attribute and status of asset will be allocated, which can facilitate proper AM operation.

• 한국산학기술학회논문지
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• 제20권12호
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• pp.663-670
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• 2019

터빈 사이클 보정 열 성능 분석은 발전소의 현재 성능을 결정하고 향상된 경제성 운전을 위해 요구된다. 본 연구에서는 신뢰성있는 성능 분석을 위해서 산업 표준인 ASME(American Society of Mechanical Engineers) PTC(Performance Test Code)를 기본으로 성능 분석에서 우선적으로 중요하게 적용되는 주급수 유량을 대상으로 영역별 판정 알고리즘을 개발하고 각 영역별로 현재의 터빈 사이클 성능을 추정하는 알고리즘을 개발하였다. 추정 알고리즘은 측정 상태량의 상관 관계를 기반으로 영역별로 형상 분류를 제시하고, 이를 기반으로 커널 회귀 모델을 이용하여 학습된 추정 모델을 구성하였으며, 커널 회귀 모델링의 우수성을 검증하기 위하여 신경 회로망 모델의 학습 결과와 비교하였다. 주급수 유량의 형상 특성에 따른 분류 및 추정 모델은 터빈 사이클에서 정확한 보정 열 성능 분석을 제공함으로써 성능 분석의 신뢰도를 증가시킬 수 있었으며 다른 성능 결정 변수에 대한 학습 및 검증 모델로 사용될 수 있다.