• 제목/요약/키워드: Work Information Classification System

검색결과 228건 처리시간 0.027초

Digitalization System of Historical Hanja Documents using Mahalanobis Distance-based Rejection

  • Kim, Min-Soo;Kim, Jin-Hyung
    • Journal of the Korean Data and Information Science Society
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    • 제16권2호
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    • pp.313-325
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    • 2005
  • In Korea, there exists a large corpus of handwritten historical documents that serve as a valuable resource. Most of them are hand-written by the King's chroniclers and secretaries. Recently, the historical archives of Lee dynasty have been digitalized. Since it is extremely difficult to utilize conventional OCR system, most of the processes have been performed manually. In this paper, we propose OCR-based digitalization system using Mahalanobis distance-based rejection and interface for eye inspection about historical Hanja documents. Compared with our previous work, experimental results show that the proposed system can help enhancing the overall efficiency of the process.

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반도체 근로자 질병의 직무관련 논란으로 본 우리나라 산업위생 활동 개선방향 (Suggestions to improve occupational hygiene activities based on the health problems of semiconductor workers)

  • 박동욱;윤충식
    • 한국산업보건학회지
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    • 제22권1호
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    • pp.1-8
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    • 2012
  • Objectives: The aim of this study is to review occupational hygiene activities, including work environment measurement as required by the industrial safety and health laws of Korea, and suggest improvements required to establish an effective exposure surveillance system. Methods: The controversial limitations of exposure surveillance examining the work-association of several types of cancers in semiconductor workers were reviewed. Results: The bulk of the exposure surveillance system was found to focus purely on work environment measurements without providing other important exposure surrogates, such as job title, operation, exposure duration, etc. The current work environment measurement system is limited in terms of the efficient assessment of the exposure status of workers due to a lack of exposure information. Conclusion: The introduction of a national standard classification of occupations and job titles into the exposure and health effect surveillance system should be discussed in order to retrospectively assess exposure characteristics.

항만국 통제 지원 선박검사 정보시스템 개발에 관한 연구 (A Study on the Development of Information System for the Ship Survey to Support Port State Control)

  • 박주용;강병윤;이경철
    • 한국해양공학회지
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    • 제14권3호
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    • pp.100-105
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    • 2000
  • Port State Control (PSC) is the inspection of foreign ships in national ports for the purpose of verifying that the condition of the ships and its equipments comply with the requirement of international conventions and the ship is manned and operated in compliance with applicable international laws. On the other hand, check items in PSC are nearly similar to periodical survey of Classification Societies, because they have the same background regarding safety and maritime pollution prevention. The purpose of this study is to develope computer-aided information system for ship inspection item which is useful for effective implementation of Port State Control. For this work, the status of PSC is reviewed, and the related scheme of ship survey system in Classification Societies is investigated. On these bases, a computer software integrated database system and object-oriented technique is developed. The developed system is expected helpful to establish and maintain an effective system of Port State Control.

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영광원자력발전소(靈光原子力發電所) 자료관리 코딩시스템의 신설계(新設計) (A Design of Coding System for Record Management of Nuclear Power Plant)

  • 신선우
    • 정보관리학회지
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    • 제2권2호
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    • pp.115-149
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    • 1985
  • 도서관에서 일반적으로 사용되는 분류(分類) 시스템은 도서(圖書) 중심으로 되어 있어, 특수 조직체의 기술((技術) 및 행정문서(行政文書)의 내부정보(內部情報)를 분류하는데는 어려움이 많다. 따라서 각 기업체에서는 조직체의 특성에 맞는 문서정보관리체제(文書情報管理體制)를 구축하고 특정한 코딩시스템이나 화일링 시스템을 개발해서 사용하고 있다. 원자력 발전소의 모든 자재 및 자료는 각기 특정한 코딩시스템으로 관리되고 있는데 시스템이 제각기 서로 다르게 구성되어 있어 상호참조(相互參照) 및 상호협력(相互協力)이 어려운 상태이다. 이 논문(論文)에서는 영광 원자력 발전소를 대상으로 하여 기존의 자재(資材) 및 자료(資料)의 코딩시스템을 모두 조사, 분석하고 모든 자료에 범용적(汎用的)으로 사용할 수 있는 통일된 자료관리 코딩 시스템을 설계한 것으로 일반 분류 시스템 및 색인 시스템을 적용하기가 어려운 특수조직체의 내부정보관리 사례 연구이다. 본 시스템 설계로 자재와 자료간의 상호참조, 업무간의 상호협력, 중앙화일 구성 운영등의 효과를 기대할 수 있다.

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항만국 통제 지원 선박검사 정보시스템 개발에 관한 연구 (A Study on the Development of Information System for the Ship Survey to Support Port State Control)

  • 박주용;강병윤;이경철;정진욱
    • 한국해양공학회:학술대회논문집
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    • 한국해양공학회 2000년도 추계학술대회 논문집
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    • pp.165-170
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    • 2000
  • Port State Control (PSC) is the inspection of foreign ships in national ports for the purpose of verifying th\ulcorner the condition of the ships and its equipments comply with the requirement of international conventions and the ship is manned and operated in compliance with applicable international laws. On the other hand, check items in PSC are nearly similar to periodical survey of Classification Societies, because they have the same background regarding safety and maritime pollution prevention. The purpose of this study is to develope computer-aided information systems for ship inspection item which is useful for effective implementation of Port State Control. For this work, the status of PSC is reviewed, and the related scheme of ship survey system in Classification Societies is investigated. On these bases, a computer software integrated database system and object-oriented technique is developed. The developed system is expected helpful to establish and maintain an effective system of Port State Control.

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전자 카탈로그 자동분류기 시스템과 그 활용 (System and Utilization for E-Catalog Classifier)

  • 이익훈;전종훈
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제14권9호
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    • pp.876-883
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    • 2008
  • 정확하게 정의된 전자 카탈로그(또는 상품정보)는 전자상거래 시스템의 핵심기반이다. 전자 카탈로그의 분류정보는 전자 카탈로그 정보 구축을 위한 기반 정보이며, 전자 카탈로그를 이용하는 시스템의 질을 좌우하는 중요 정보이다. 그러나, 정보시스템의 활용이 증가함에 따라, 시스템에서 관리해야 할 전자카탈로그의 양은 대용량화되었고, 대용량 전자 카탈로그의 분류 작업은 더욱 복잡하게 되었다. 본 논문에서는 전자 카탈로그를 자동분류하기 위한 자동분류기 시스템을 설명하고 자동분류기를 활용한 기업 정보시스템의 카탈로그 관리 프로세스 개선 구축 경험 및 기업의 전자카탈로그 표준화 작업을 위한 자동분류기 활용방법을 제시한다. 더불어 향후 유사 시스템 구축에 도움이 될 수 있도록 경험으로부터 얻은 자동분류기 시스템 구축 및 활용 이슈를 제시한다.

The Investigation of Employing Supervised Machine Learning Models to Predict Type 2 Diabetes Among Adults

  • Alhmiedat, Tareq;Alotaibi, Mohammed
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권9호
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    • pp.2904-2926
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    • 2022
  • Currently, diabetes is the most common chronic disease in the world, affecting 23.7% of the population in the Kingdom of Saudi Arabia. Diabetes may be the cause of lower-limb amputations, kidney failure and blindness among adults. Therefore, diagnosing the disease in its early stages is essential in order to save human lives. With the revolution in technology, Artificial Intelligence (AI) could play a central role in the early prediction of diabetes by employing Machine Learning (ML) technology. In this paper, we developed a diagnosis system using machine learning models for the detection of type 2 diabetes among adults, through the adoption of two different diabetes datasets: one for training and the other for the testing, to analyze and enhance the prediction accuracy. This work offers an enhanced classification accuracy as a result of employing several pre-processing methods before applying the ML models. According to the obtained results, the implemented Random Forest (RF) classifier offers the best classification accuracy with a classification score of 98.95%.

Classification System of EEG Signals During Mental Tasks

  • Seo Hee Don;Kim Min Soo;Eoh Soo Hae;Huang Xiyue;Rajanna K.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.671-674
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    • 2004
  • We propose accurate classification method of EEG signals during mental tasks. In the experimental task, the tasks of subjects show 3 major measurements; there are mathematical tasks, color decision tasks, and Chinese phrase tasks. The classifier implemented for this work is a feed-forward neural network that trained with the error back-propagation algorithm. The new BCI system is proposed by using neural network. In this system, tr e architecture of the neural network is composed of three layers with a feed-forward network, which implements the error back propagation-learning algorithm. By applying this algorithm to 4 subjects, we achieved $95{\%}$ classification rates. The results for BCI mathematical task experiments show performance better than those of the Chinese phrase tasks. The selection time of each task depends on the mental task of subjects. We expect that the proposed detection method can be a basic technology for brain-computer interface by combining with left/right hand movement or yes/no discrimination methods.

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Operational Experience in DB "TERMIN"

  • Shaburova, Natalya N.
    • Journal of Information Science Theory and Practice
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    • 제7권3호
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    • pp.21-30
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    • 2019
  • Information about the formation and filling (in 2014 to 2016) of a terminological dictionary on electronics and radioengineering and collective work (in 2017 to 2018) with a data bank "TERMIN" is presented in this article. In purpose of creating an instrument of navigating the modern scientific-technical space a net of terms with set semantic links is described. This set is based on the analysis of terms' definitions (each term is checked for inclusion in the definitions of all other terms; the definitions were borrowed from reputable reference editions: encyclopedias, dictionaries, reference books). The created model of a system that consists of different information sources, in which it (information) is indexed by the terminology of Russian State Rubricator of Scientific and Technical Information rubrics and/or keywords, is described. There is an access for the search in all these sources in the system. Searching inquiries are referred to in the language of these rubrics or formulated by arbitrary terms. The system is to refer to information sources and give out relevant information. In accordance with this model, semantic links of various types, which allow expanding a search at different modalities of query, should be set among data bank terms. Obtained links will have to increase semantic matching, i.e., they can provide actual understanding of the meaning of the information that is being sought.

디지털 사진매핑에 의한 공학적 암반분류와 터널의 보강 (Supporting The Tunnel Using Digital Photographic Mapping And Engineering Rock Classification)

  • 김치환
    • 터널과지하공간
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    • 제21권6호
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    • pp.439-449
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    • 2011
  • 터널의 페이스매핑(face mapping)을 신속하고 신뢰성 있게 수행하기 위하여 디지털 사진으로부터 3차원 좌표의 점군(point cloud)을 생성하고 이로부터 절리면의 방향과 간격 및 암질지수(R.Q.D), 절리면 거칠기 등을 분석하였다. 분석결과를 공학적 암반분류 방법인 RMR(Rock Mass Rating)과 Q 시스템에 입력하여 보강방법을 결정하고 터널을 시공하였다. 그 결과 터널 페이스매핑 작업의 안전성을 높이면서, 분석부터 보강작업까지의 시간을 절약하였다. 또 터널 막장면의 디지털 영상과 공학적 암반분류용 정보를 객관적으로 평가하고 필요 시재분석이 가능하도록 보존함으로써 보강등급 결정과 터널보강 방법의 신뢰도를 높였다.