• The Transactions of the Korea Information Processing Society
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• v.2 no.5
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• pp.777-786
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• 1995

This paper describes several algorithms for technology mapping of logic functions into interesting and popular FPGAs that use look-up table memories. In order to improve the technology mapping for FPGA, some existing multi-level logic synthesis, decomposition reduction and packing techniques are analyzed and compared. And then new algorithms such as node-pair decomposition, merging fanin, unified reduction and multiple output decomposition which are used for combinational logic design, are proposed. The cost function is used to minimize the number of CLBs and edges of the network. The cost is a linear combination of each weight that is given by user. Finally we compare our new algorithm with previous logic design technique［8］. In an experimental comparison our algorithm requires 10% fewer CLB and nets than SIS-pga.

• The KIPS Transactions:PartB
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• v.8B no.6
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• pp.657-668
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• 2001

It is difficult that web documents are classified with exact user intention because existing document classification systems are based on word frequency number using single keyword. To improve this defect, first, we use keyword, a query, domain knowledge. Like explanation based learning, first, query is analyzed with knowledge based information and then structured user intention information is extracted. We use this intention tree in the course of existing word frequency number based document classification as user information and constraints. Thus, we can classify web documents with more exact user intention. In classifying document, structured user intention information is helpful to keep more documents and information which can be lost in the system using single keyword information. Our hybrid approach integrating user intention information with existing statistics and probability method is more efficient to decide direction and range of document category than existing word frequency approach.

• Korean Journal of Construction Engineering and Management
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• v.18 no.1
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• pp.48-57
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• 2017

The construction of the first nuclear power plant (Kori #1) in Korea started in 1971, Korea operates 24 nuclear power plants and is constructing 4 in 2015. During about 45 years of construction experience, insufficient studies have been investigated for the identification of critical success factors(CSFs) for nuclear power plant construction. Based on literature reviews and focus group interviews, this study presented a list of CSFs for construction of nuclear power plants. A survey for validating the results of CSFs was conducted with 164 experts. This study indicates that attentions should be placed upon the lowest price-based contract awarding policy, the need for reasonable pricing standard implementation, database development, and deployment for experienced nuclear power plant construction workers, identification and nurturing of competitive subcontractors, and minimization of lag times in construction activities.

• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.1-13
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• 2009

Scene classification and concept-based procedures have been the great interest for image categorization applications for large database. Knowing the category to which scene belongs, we can filter out uninterested images when we try to search a specific scene category such as beach, mountain, forest and field from database. In this paper, we propose an adaptive segmentation method for real-world natural scene classification based on a semantic modeling. Semantic modeling stands for the classification of sub-regions into semantic concepts such as grass, water and sky. Our adaptive segmentation method utilizes the edge detection to split an image into sub-regions. Frequency of occurrences of these semantic concepts represents the information of the image and classifies it to the scene categories. K-Nearest Neighbor (k-NN) algorithm is also applied as a classifier. The empirical results demonstrate that the proposed adaptive segmentation method outperforms the Vogel and Schiele's method in terms of accuracy.

• Journal of the Korean Society of Earth Science Education
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• v.9 no.2
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• pp.186-198
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• 2016

The purpose of this study is to identify the composition elements and processes of the rock cycle that pre-service teachers in earth science field understand. Second-year students majoring in earth science were selected as research objects, all of whom attended teacher's university located in the southern region. The methods of arranging the composition elements of the rock cycle in a structured way and displaying the cycle direction through the arrow and describing the cycle processes in detail were applied. Pre-service teachers recognized 5 composition elements: magma, igneous rocks, sediments, sedimentary rocks, metamorphic rocks of the rock cycle and cycle processes was represented into 20 branches. The cycle type was analyzed by four criteria: linear, triangular, circular, complex, some pre-teachers did not complete the loop of the cycle or some showed incomplete understanding of the cycle structure simply displayed in one direction. The rock cycle is an important theme of the earth system education characterized by dynamism and complexity.

• Korean Journal of Remote Sensing
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• v.13 no.2
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• pp.133-150
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• 1997

The purpose of this paper is to develop an algorithm of classification and interpretation of seafloor based on side scan sonar data. The algorithm consists of mosaicking of sonar data using navigation data, correction and compensation of the acouctic amplitude data considering the charateristics of the side scan sonar system, and segmentation of the seafloor using digital image processing techniques. The correction and compensation process is essential because there is usually difference in acoustic amplitudes from the same distance of the port-side and the starboard-side and the amplitudes become attenuated as the distance is increasing. In this paper, proposed is an algorithm of compensating the side scan sonar data, and its result is compared with the mosaicking result without any compensation. The algorithm considers the amplitude characteristics according to the tow-fish's depth as well as the attenuation trend of the side scan sonar along the beam positions. This paper also proposes an image segmentation algorithm based on the texture, where the criterion is the maximum occurence related with gray level. The preliminary experiment has been carried out with the side scan sonar data and its result is demonstrated.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.1
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• pp.1-9
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• 2022

In this study, the selection action on the mesh in the net pot for whelk (Buccinum opisthoplectum) is experimentally considered, and the selectivity was compared by the SELECT model and the Nashimoto's method with the probability model according to the contact shape of the mesh and the whelk. The experiments of the mesh size selectivity was conducted for two mesh sizes: 70 mm (inner stretched size 65.4 mm) and 44 mm (inner stretched size 39.5 mm). Selectivity experiments were conducted three times in total for each mesh size used 264 whelks. In addition, Nashimoto's method analyzed the retention probability using probability model for whether the mesh passed or not based on the carapace width of the whelk. As a result of the selectivity analysis, the 50% selection carapace width for the mesh size of 70 mm was similar to 43.62 mm in the SELECT model and 42.64 mm in the Nashimoto's method. However, the 44 mm mesh with relatively small mesh size showed differences of 40.01 mm and 26.80 mm, respectively. As for the mesh size selectivity of whelk, it was found that the smaller the mesh size, the lower the selectivity. In addition, in the selectivity study on the mesh size of whelk, an evaluation method that closely considers the contact shape between the mesh and the target species is required.

• 한국노년학
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• v.40 no.2
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• pp.311-323
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• 2020

Older adults are at a high risk of falling, causing severe injuries and increased hospital stays and treatment costs. This can be a burden not only on the family but also on the national economy. Thus, fall prevention is very important in nurses' and nursing assistants' work. This study intended to grasp the real situation faced by nurses and nursing-assistants working at geriatric hospitals in J province, Korea. The researcher interviewed thirty-six nurses and nursing-assistants in four geriatric hospitals and performed four focus group interviews. Data were analyzed through an inductive content analysis based on Elo & Kyngäs's approach. Three categories and five subcategories were identified. Categories were patients, environmental, and personal factors. Patient factors included patients' impaired cognitive function. Environmental factors included lack of personnel support and assignment of inpatients without regard to fall risk. Personal factors included hopelessness regarding improvement and fear of being blamed. Promotion of fall prevention practice needs a gradual increase in nursing staff at geriatric hospitals, a system for assigning hospital room according to fall risk, and education and support system to reduce nursing burden.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.480-480
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• 2021

본 연구에서는 도시재생지역의 재난재해 위험성 및 회복성 분석과 현황 분석을 위한 기초 데이터의 관리와 활용성 증대를 목적으로 데이터를 등록하고 다운로드 할 수 있는 공유 플랫폼을 개발하고자 하였다. 도시재생 데이터 플랫폼은 재난재해, 지역현황, 문서 항목으로 구분하여 도시재생 정보를 서비스한다. 재난재해 항목은 폭우, 폭설, 폭염, 강풍, 지진 5개 자연재해 유형과 이로 인해 추가 피해가 발생할 수 있는 화재, 붕괴, 폭발 사회재난 3개 유형으로 구성되어있으며, 총8 종류의 재난재해 유형에 대한 위험성과 회복성 분석 DB를 제공한다. 지역현황 정보에서는 유휴공간 및 지역자산정보 등 도시재생 현황분석에 필요한 행정(통계)데이터, 시설물정보 등을 제공한다. 아울러 본 연구를 통해 산출되는 논문 및 보고서 등을 문서 항목에서 서비스한다. 데이터셋 등록 시, 시스템에 설정된 재난재해 유형, 시설물 등을 선택해 카테고리를 분류하고, 이력관리를 목적으로 데이터명과 생산년월 등에 대한 필수항목을 입력해야만 등록이 가능하도록 설정하였다. 또한 GIS 기반 공간자료 등록 시에는 가시화 서비스를 위하여 공간자료의 포맷과 좌표체계, 생산년월, 생산기관 등을 필수 입력하도록 하였으며, GIS tool을 활용한 자료 분석에 어려움이 없도록 하였다. 쇠퇴지역의 재난재해 대비/대응을 위한 도시재생 데이터 플랫폼은 금년 시범운영 후, 차년에는 클라우드 서비스 기능을 탑재해 계정 권한과 장소에 제약을 받지 않고 도시재생 업무를 수행하는 모든 사용자가 재난재해 정보를 비롯한 도시재생 관련 정보를 수집·활용할 수 있는 데이터 공유의 장을 구현함으로써 도시재생지역의 효과적인 재난재해 대비/대응 체계를 마련하고자 하였다.

• Journal of The Korean Association For Science Education
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• v.29 no.8
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• pp.963-977
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• 2009

The purpose of this paper is to identify college students' conceptions of the earth system cycles as learners of earth science education (ESE) and draw educational implications. An eight-week creative story writing project was held with 62 non-science students taking a general course on earth science. Their creative stories were categorized by analyzing the conceptions and types of cycle with a story mapping technique. The cycle conceptions of earth systems were expressed diversely into 32; most of the cycle types were circular and complex, while the others were branch-shaped and linear types that fail to complete the cycles. College students' conceptions of the earth system cycles is biased toward natural-abiotic systems; less than 30% of them are shown to be aware of all three categories: natural-abiotic, natural-biotic, and human systems. It is essential to diversify the content of education on earth system cycles and help learners develop systematic methods of thinking so that they will be able to recognize the impacts of feedback from human activities through ESE.