• 한국문헌정보학회지
• /
• 제23권
• /
• pp.207-261
• /
• 1992

The purpose of this study is (1) to design and test a database which can be automatically classified, and (2) to generate automatic classification number by processing the keywords in titles using the code combination method of Colon Classification(CC) as well as an automatic recognition of subjects in order to develop an automatic classification system (Auto BC System) based on CC which can be applied to any research library. To conduct this study, 1,510 words in the fields of agricultrue and medicine were selected, analized in terms of [P], [M], [E], [S], [T] employed in CC, and included in a database for classification. For the above-mentioned subject fields, the principle of an automatic classification was specified in order to generate automatic classification codes as well as to perform an automatic subject recognition of the titles included. Whenever necessary, editing, deleting, appending and reindexing of a database can be made in this automatic classification system. Appendix 1 shows the result of the automatic classification of books in the fields of agriculture and medicine. The results of the study are summarized below. 1. The classification number for the title of a book can be automatically generated by using the facet principles of Colon Classification. 2. The automatic subject recognition of a book is achieved by designing a database making use of a globe-principle, and by specifying the subject field for each word. 3. The automatic subject-recognition of input data is achieved by measuring the number of searched words by each subject field. 4. The combination of classification numbers is achieved by flowcharting of classification formular of each subject field. 5. The efficient control of classification numbers is achieved by designing control codes on the database for classification. 6. The automatic classification by means of Auto BC has been proved to be successful in the research library concentrating on a Single field. The general library may have some problem in employing this system. The automatic classification through Auto BC has the following advantages: 1. Speed of the classification process can be improve. 2. The revision or updating of classification schemes can be facilitated. 3. Multiple concepts can be expressed in a single classification code. 4. The consistency of classification can be achieved with the classification formular rather than the classifier's subjective judgement. 5. A user's retrieving process can be made after combining the classification numbers through keywords relating to the material to be searched. 6. The materials can be classified by a librarian without subject backgrounds. 7. The large body of materials can be quickly classified by means of a machine processing. 8. This automatic classification is expected to make a good contribution to design of the total system for library operations. 9. The information flow among libraries can be promoted owing to the use of the same program for the automatic classification.

• 한국건설관리학회:학술대회논문집
• /
• 한국건설관리학회 2007년도 정기학술발표대회 논문집
• /
• pp.762-767
• /
• 2007

시설물이 건설되는 생애주기의 전 과정에서 파생되는 방대한 정보는 저장 ${\cdot}$ 가공 ${\cdot}$ 교환을 필요로 하며, 이는 모든 분야에 적용된다. 또한, 기술의 진보로 인해 정보의 취합 ${\cdot}$ 접근방법 ${\cdot}$ 교환이 빈번하게 파생되고 있으며, 건설분야에 종사하는 실무자들의 자재정보획득 절차의 효율성 및 용이한 접근성에 대한 요구도 증대되고 있는 실정이기 때문에, 이를 해소하기 위한 활용성 및 확장성 ${\cdot}$ 표준성을 기반으로 한 건설자재 분류체계는 필수 불가결한 요소로 부각되고 있다. 그러므로 본 연구에서는 건설자재 분류체계의 국제표준성을 확보하고자 ISO기준에 대한 검토를 선행하여으며, 건설실무자들의 활용성 증대를 위한 건설 공정별 분류형식을 자재분류체계에 접목하고자 하였다. 이를 위해 국제표준 및 전자정보화를 위해 개발된 국제 통합분류체계인 OmniClass의 상세분석을 기반으로 건설공정별 분류인 Table 22와 UniClass의 상품 및 자재부분을 적용한 Table 23, 35, 41을 비교하여 건설자재 분류체계의 확장성 및 표준성을 확립하고자 하였다. 또한, 향후 전자상거래를 통한 사용성 및 국제호환성을 확보하기 위하여 국제상품분류(UN/SPSC)의 소성코드체계 접목도 시도하였다.

• 한국기록관리학회지
• /
• 제24권2호
• /
• pp.113-137
• /
• 2024

본 연구에서는 국립대한민국임시정부기념관이 '라키비움'으로서, 다양한 형태의 자료들을 포괄하여 통합 분류할 수 있는 분류체계를 고안하고, 이를 온라인 서비스하는 방안을 제안하고자 하였다. 이를 위해 사례연구로는 임시정부 자료 소장기관인 국가기록원, 국회기록보존소, 국사편찬위원회 전자사료관의 분류체계 구조 및 내용에 대해 알아보았고, 온라인 서비스와 관련해서는 위 세 개 기관과 함께 임페리얼 전쟁 박물관과 스탠포드대학교 후버연구소 도서관과 아카이브를 살펴보았다. 국내외 기관 사례분석에서 도출된 시사점을 통해, 기관 소장 자료에 대해 출처별 계층분류로 기본적인 체계를 구성하였고, '형태별, 시대별, 주제별' 분류기준에 따른 다중분류체계를 제시하였다. 더불어 고안한 분류체계 개발안을 온라인 서비스에 어떻게 적용할 것인가에 대해서도 함께 제안하였다.

• 터널과지하공간
• /
• 제7권1호
• /
• pp.1-12
• /
• 1997

Engineering rock mass classification is extensively used to determine the reasonable support system throughout the tunneling process in the field. Selection of support system based on the results of engineering rock mass classification is simple and straight-forward. However, this method cannot consider the effect of in-situ stresses, mechanical properties of support material, and support installation time on the behavior or rock-support system To handle the various conditions encountered in the underground excavation sites rock-support system. To handle the various conditions encountered in th eunderground excavation sites rock-support interaction program has been developed. This program can analyze the interaction between rock mass and support materials and also can simulate the tunnel excavation-support insstallation process by controlling the support installation time and the stiffness of support system. Practical applicability of this program was verfied by comparing the results of support design to those from rock mass classification for virtual underground excavation at the drilling site KD-06 in Geoje island.

• 한국주거학회:학술대회논문집
• /
• 한국주거학회 2008년 추계학술발표대회 논문집
• /
• pp.249-254
• /
• 2008

The objective of this study is to interpret a environmental-friendly plan factors of Korean traditional settlement used of existing classification system. The existing classification system framework is six environmental ecological ideas as the adaptation to the adaptation to the availability of land, the eco-space in village, the system of house, the cycling of material and the reasonable energy system, the water resources, prevention of environment pollution. Additional research was undertaken to verify the findings. Through the interpretation, it has been found out that Gu-Rim tradition village has been developed to an environmental ecological rational setting and has the meaningful elements for environmental friendly housing estates.

• 정보처리학회논문지D
• /
• 제16D권3호
• /
• pp.433-440
• /
• 2009

최근 건설 분야의 정보화 기술이 발달함에 따라 건설업무의 생산성 향상과 비용 절감을 위한 다양한 건설자재 정보 서비스 차원의 web 기반 온라인 시스템이 급증하는 추세이다. 그러나 이러한 시스템들이 제공 중인 품질 및 규격등 건설자재정보가 표준화되지 못하여 특정자재의 정보획득시 여러 정보시스템을 이용하거나 유사한 작업을 반복하는등 건설현장 실무자들의 자재정보 활용에 있어 많은 어려움을 겪고 있다. 이에 본 연구에서는 국제 데이터 상품 속성 시스템(GDAS, Global Data Alignment System)을 기준으로 건설자재 정보항목을 정형화하고 건설자재 통합정보 관리를 위한 시스템 모델을 설계하였다. 본 시스템은 건설공정별 국제 표준분류체계(OmniClass Part-22)와 유엔 표준 제품 및 서비스 분류체계(UNSPSC, United Nations Standard Products and Services Classification)를 적용한 건설 자재의 자동 분류, 자재정보의 조건별 복합검색, 전자카탈로그의 실시간 자동구현, RFID 검색 및 관리 기능을 지원함으로써 자재정보의 효율적인 관리 및 활용이 가능하다.

• 한국산학기술학회논문지
• /
• 제15권1호
• /
• pp.81-85
• /
• 2014

본 연구는 유아교육 관련 교재교구 산업의 과제와 전망에 대해 고찰한 연구이다. 교재교구 산업의 과제는 첫째, 분류기준 제시가 시급하다는 것, 둘째, 평가기준이 마련되어야 한다는 것, 셋째, 질 관리가 허술하다는 것, 넷째, 상품화된 자료가 부족하다는 것이며, 다섯째는 교재교구 산업에 대한 정부의 정책이 없다는 것과 여섯째, 교재교구의 활용에 대한 관리 시스템이 없다는 것, 마지막으로 일곱째, 교재교구 유통구조가 개선되어야 한다는 것이다. 교재교구산업의 전망은 첫째, 평가인증 제도의 도입되어야 한다는 것이고, 둘째 교재 교구산업이 성장 할 것 이라고 보는 시사점과, 셋째, 친환경적이며 지속가능한 소재가 확대된다는 것이다. 또한, 넷째, 멀티미디어 사용이 증가되며. 다섯째로 활용률 제고를 위한 관리 시스템 정착이 필요하다는 것이다. 이러한 전망을 근거로 교재교구 산업의 미래를 긍정적으로 보았다.

• 한국전자거래학회지
• /
• 제8권1호
• /
• pp.121-139
• /
• 2003

Currently, it is not popular to use the STEP based product information in the construction drawing files, in spite of the importance and possibility of using various product data in drawing files on the CALS/EC environment. This paper aims to demonstrate a construction drawing information management system based on ISO 10303/STEP. To achieve this aim, the authors have analyzed the current construction drawing information classification hierarchy widely used for domestic and international, and examined the material data connection mechanism within CAD drawing data, and finally investigated the management systems for construction documentations and drawings in a public companies. Therefore, the expected benefit of the proposed system is that STEP drawing information management will be done standardization and the information of STEP construction drawing can be managed, shared and supported design business through materials data connection.

• 한국실내디자인학회논문집
• /
• 제23호
• /
• pp.68-73
• /
• 2000

The purpose of this research is to develop interior construction cost-estimating system at the early stage of the project. Though general construction estimates are typically in quantitative, interior construction should be in rather qualitative. Therefore, design-concerned cost-estimating methods should be developed to manage interior projects from the early statge. 30 estimates of VIP-Zone interior projects, were examined to develop the general type of composition and material classification. The cost has been classified by construction parts such as wall, ceiling, floor, and doors & windows and their treatments. The composition and material related estimating system (CMRES) was consisted of the unit average costs of classification and the variation coefficients. The CMRESS was verified by the case study, and the results sowed that the difference between the actual estimate and the CMRES was competitively confident.

• 대한임베디드공학회논문지
• /
• 제19권1호
• /
• pp.47-55
• /
• 2024

We spend a lot of time in indoor space, and the space has a huge impact on our lives. Interior design plays a significant role to make an indoor space attractive and functional. However, it should consider a lot of complex elements such as color, pattern, and material etc. With the increasing demand for interior design, there is a growing need for technologies that analyze these design elements accurately and efficiently. To address this need, this study suggests a deep learning-based design analysis system. The proposed system consists of a semantic segmentation model that classifies spatial components and an image classification model that classifies attributes such as color, pattern, and material from the segmented components. Semantic segmentation model was trained using a dataset of 30000 personal indoor interior images collected for research, and during inference, the model separate the input image pixel into 34 categories. And experiments were conducted with various backbones in order to obtain the optimal performance of the deep learning model for the collected interior dataset. Finally, the model achieved good performance of 89.05% and 0.5768 in terms of accuracy and mean intersection over union (mIoU). In classification part convolutional neural network (CNN) model which has recorded high performance in other image recognition tasks was used. To improve the performance of the classification model we suggests an approach that how to handle data that has data imbalance and vulnerable to light intensity. Using our methods, we achieve satisfactory results in classifying interior design component attributes. In this paper, we propose indoor space design analysis system that automatically analyzes and classifies the attributes of indoor images using a deep learning-based model. This analysis system, used as a core module in the A.I interior recommendation service, can help users pursuing self-interior design to complete their designs more easily and efficiently.