• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.612-616
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• 2007

오랫동안 홍수조절, 용수공급, 전력생산, 레저 활동을 위해 건설된 댐들은 하천이나 호소의 생태적 기능보다는 치수 및 이수기능이 중요시되면서 운영 관리되어 왔다. 하지만 최근 들어 선진국을 중심으로 환경 및 생태의 중요성이 인식되면서 하천생태계 보호를 위한 환경유량 산정이 언급되고 있는데 이는 하천이 동 식물의 서식처로서 적절한 수질뿐만 아니라 수심, 유속, 하상재료, 먹이원, 어류를 보호할 수 있는 휴식 및 은신처 등의 다양한 조건을 제공할 수 있어야 한다고 제시되고 있다. 이들 조건 중 유량(Flow)은 하천에서 생물집단을 구성하는데 있어 물리적 서식조건의 주요한 결정인자로 작용하는데, 댐 하류하천의 자연유량(natural flow)을 변화시키면 생태학적 측면에서 기대치 않던 영향을 야기할 수 있다. 따라서 댐 건설 전 후의 자연유량과 조절유량 사이에서 생태학적 어류조사연구를 통한 차이점을 찾는 것은 매우 중요하다고 볼 수 있다. 본 연구의 최종목적은 수계 내 댐 건설 전 후의 어류군집과 유량 등 수리조건과의 연관성을 분석하여 하천구간별로 어류생태에 적합한 유량을 산정하는 것이다. 조사대상 구간은 금강본류를 대상으로 하되 용담댐과 대청댐을 중심으로 하여 10개 구간을 선정하였고. 과거로부터 2000년도까지와 용담댐 건설후인 $2002{\sim}2004$년도에 조사된 어류생태자료를 활용하였다. 용담댐 상류로부터 대청댐 하류에 이르기까지 전 구간을 대상으로 조사된 자료를 분석한 결과 총 20과 82종이 출현하였고, 이중 종 45종(54.9%)이 잉어과에 해당하며 미꾸리과(6종), 동자개과(4종), 망둑어과(5종)를 제외한 대다수의 분류군(Family)들은 단일 또는 2종으로만 구성되었다. 이들 중 천연기념물 제 259호로 지정되어 법적으로 보호되고 있는 어름치(금강에서 서식한 어름치를 따로 천연기념물 238호로 지정함)를 비롯하여 다묵장어를 포함한 7종의 멸종위기종이 확인되었다. 또한 각시붕어 등 총 29종(39.4%)의 높은 한국고유종 출현과 6종의 외래도입종도 확인되었다. 금강의 중 상류에 해당하는 구역을 포함하는 대청댐 상 하류 구간에서 대청댐 건설 전(1980년 이전)을 포함하는 2000년 이전 조사 자료가 가장 다양한 어류상과 특이어종(멸종위기종 및 한국고유종)을 보였고, 최근자료$(2002{\sim}2004)$를 살펴볼 때 용담댐 상 하류에서보다 대청댐 상 하류에서 멸종위기종(7종$\rightarrow$1종) 및 한국고유종(28종$\rightarrow$16종)의 출현감소와 외래도입종의 출현증가(1종$\rightarrow$6종)와 같은 주요한 어류군집 변화를 보였다. 이는 댐 건설에 따라 주로 계류성 어종을 중심으로 정수역 구간에서 인근 지류로 이동하게 되고 일부는 제한된 서식공간과 하천교란으로 인해 개체군이 극감하거나 일부 소멸된 종이 발생하였을 것으로 사료된다. 실측 유량자료 분석에 의하면 홍수기 최대유량 변화는 크지 않으나, 갈수기 최소유량은 크게 증가한 것을 알 수 있었고, 대다수 어류의 산란기인 봄철(5월, 6월) 최소유량은 증가하였으나, 최대유량은 감소한 것으로 분석되었다. 이러한 변화는 어류생태계에 긍정적인 면과 부정적인 면이 있으며, 향후 이러한 영향을 분석하기 위해 선택어종(Target species)별 생태환경 서식조건을 확인할 수 있는 조사기법 및 자료구축이 절실히 필요한 실정이다.

• Journal of Korean Society for Geospatial Information Science
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• v.18 no.2
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• pp.3-12
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• 2010

In previous studies, the digital measurement systems and analysis algorithms were developed by using the related techniques, such as the aerial photograph detection and high resolution satellite image process. However, these studies were limited in 2-dimensional geo-processing. Therefore, it is necessary to apply the 3-dimensional spatial information and coordinate system for higher accuracy in recognizing and locating of geo-features. The objective of this study was to develop a stochastic algorithm for the optimal sensor placement using the 3-dimensional spatial analysis method. The 3-dimensional information of the LiDAR was applied in the sensor field algorithm based on 2- and/or 3-dimensional gridded points. This study was conducted with three case studies using the optimal sensor placement algorithms; the first case was based on 2-dimensional space without obstacles(2D-non obstacles), the second case was based on 2-dimensional space with obstacles(2D-obstacles), and lastly, the third case was based on 3-dimensional space with obstacles(3D-obstacles). Finally, this study suggested the methodology for the optimal sensor placement - especially, for ground-settled sensors - using the LiDAR data, and it showed the possibility of algorithm application in the information collection using sensors.

• Annual Conference on Human and Language Technology
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• 1992.10a
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• pp.367-375
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• 1992

한국어는 다른 언어와는 달리 초성, 중성, 종성의 자소가 모여서 한 음절을 이룬다. 음절을 이루는 자소는 그 발생의 확률적 성질에 따라 확률변수로 간주된다. 음절 안에서 자소간의 발생의 상관관계는 자소간 조건부 확률 및 엔트로피로 표시된다. 음절이 모여서 단어를 이루고 단어를 이루는 음절은 그 발생의 확률적 성질에 따라 확률변수로 간주된다. 한국어 단어안에서 음절간의 발생의 상관관계는 음절간 조건부 확률 및 엔트로피로 표시된다. 수 있다. 그런데 가능한 음절의 종류가 매우 많기 때문에 음절 발생의 상관관계를 표시하는 지표로서 음절간 조건부 확률 대신 초성, 중성, 종성 단위의 조건부 확률을 사용하는 것이 음절간의 발생의 상관관계를 표시하는데 효과적이다. 이러한 한국어의 정보이론적 연구를 위하여서는 기초자료로서 한국어 단어의 빈도분포가 필요하다. 한국어 단어의 빈도분포의 포괄적인 조사는 1956년의 "우리말 말수 사용의 잦기 조사"가 유일한 실정이다. 시간 경과에 따른 한국어의 정보이론적 특성 변화의 분석을 위하여서는 한국어 단어 빈도의 주기적인 조사가 필요하다. 한국어에서 초성, 중성, 종성단위의 정보이론적 연구결과는 한국어 음성인식 및 함성, 자연언어처리, 암호법, 언어학, 음성학, 한국어부호 표준화 연구등에 이용될 것으로 기대된다. 남북한의 언어는 분단이 지속됨에 따라 상호 이질화가 진행되고 있다. 이러한 이질화를 극복하려는 부분적인 노력으로 남북한 언어의 한국어 영문표기의 단일화 등이 있었다. 이러한 노력에 병행하여 남한과 북한의 언어에 대한 정보이론적 비교 연구도 있어야 할 것이다. 정보를 효과적으로 캐싱할 수 있도록 인접한 데이터를 클러스터링해서 브로드캐스팅하여 이동 호스트의 구성 시간(setup time)을 최소화하였다. 그리고, 맨하탄거리(Manhattan Distance)를 사용해서 위치 의존 질의에서 사용하는 데이타를 캐싱하고 질의를 처리하는 방법을 제안한다. 맨하탄 거리를 이용해서 캐싱하면 도로에 인접해서 위치한 데이타를 효과적으로 캐싱할 수 있다. 또한, 거리 계산 방법으로 맨하탄 거리를 사용하면 도심에서 실제 이동 거리와 비슷한 값을 알 수 있고, 직선 거리 계산식에 비해서 계산식도 간단하기 때문에 시스템 계산량도 줄일 수 있다. 기준으로 라이신 부산물은 어분 단백질을 40%까지 대체가 가능하였으며, 아울러 높은 라이신 부산물의 대체 수준에 있어서 사료효율과 단백질 전환효율을 고려한다면 아미노산 첨가(라이신과 아르지닌)와 중화 효과에 좋은 결과가 있을 것으로 사료된다.의한 적정 양성수용밀도는 각고 5~6cm 크기의 경우 10~15개체가 적합하였다. 수증별 성장은 15~20 m 수층에서 빨랐으며, 성장촉진과 폐사를 줄이기 위해서는 고수온이 지속되는 7~10월에는 20~30m수층으로 채롱을 내려 양성하고 그 외 시기에는 15 m층 내외가 좋은 것으로 나타났다. 상품으로 출하 가능한 크기 인 각고 10 cm이상, 전중량 140 g 내외로 성장시 키기까지는 채묘후 22개월이 소요되었고, 출하시기는 전중량 증가가 최대에 이르는 3월에서 4월 중순이 경제적일 것으로 판단된다.er 90 % of good relative dynamic modulus of elasticity due

• Information Systems Review
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• v.13 no.2
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• pp.55-72
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• 2011

As the complexity of business environment increases rapidly the use advanced information technology start to affect not only the business processes of individual companies but also the fundamental nature of business and industrial ecosystem. The changes observed at the level of business and industrial ecosystem encompasses a broad range of transformation. This unit of analysis is not sufficiently dealt with by existing information systems research. This research attempted to analyze the changes in business ecosystem caused by digital transformation using a relatively new approach called ecosystem mapping. We developed and suggested an ecosystem mapping methodology step by step and applied the methodology to film industry. The film industry is chosen because it is an industry very sensitive to the changes in technology and has gone through massive transformation during the last three decade by way of using modem information technology.

• Journal of Biosystems Engineering
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• v.29 no.4
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• pp.341-346
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• 2004

Recent livestock people concern not only increase of production, but also superior quality of animal-breeding environment. So far, the optimization of the breeding and air environment has been focused on the production increase. In the very near future, the optimization will be emphasized on the environment for the animal welfare and health. Especially, cattle farming demands the precision livestock farming and special attention has to be given to the management of feeding, animal health and fertility. The management of individual animal is the first step for precision livestock farming and animal welfare, and recognizing each individual is important for that. Though electronic identification of a cattle such as RFID(Radio Frequency Identification) has many advantages, RFID implementations practically involve several problems such as the reading speed and distance. In that sense, computer vision might be more effective than RFID for the identification of an individual animal. The researches on the identification of cattle via image processing were mostly performed with the cows having black-white patterns of the Holstein. But, the native Korean and Japanese cattle do not have any definite pattern on the body. The purpose of this research is to identify the Japanese black cattle that does not have a body pattern using computer vision technology and neural network algorithm. Twelve heads of Japanese black cattle have been tested to verify the proposed scheme. The values of input parameters were specified and then computed using the face images of cattle. The images of cattle faces were trained using associate neural network algorithm, and the algorithm was verified by the face images that were transformed using brightness, distortion, and noise factors. As a result, there was difference due to transform ratio of the brightness, distortion, and noise. And, the proposed algorithm could identify 100% in the range from -3 to +3 degrees of the brightness, from -2 to +4 degrees of the distortion, and from 0% to 60% of the noise transformed images. It is concluded that our system can not be applied in real time recognition of the moving cows, but can be used for the cattle being at a standstill.

• The Korean Journal of Archival Studies
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• no.42
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• pp.287-326
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• 2014

Documenting environmental conflicts will be a priority target for documenting localities, because those conflicts are critical events that make intensive 'place experiences' of local residents. This study is to design a narrative structure for documenting conflicts in the process of Transmission Towers Construction in Miryang. This study begins with analysing the characteristics of environmental conflicts, and draws a conflicts documentation model including basic rules, narrative structure and development process. Basic rules are set up as mixed documentation of memory and evidence, application of 'frame', and dynamic description. Based on the rules, this study suggests a dynamic and open narrative framework adopting the metadata model of ISO 23081. This model is applied to documenting Transmission Towers Construction Conflicts in Mi-ryang. The full narrative and 'frame' of the conflicts are set after analysing development and issues of the conflicts, stakeholder, and properties of each conflict problem. Records descriptions are related to the context(each event occurred in the conflicting conditions, mandates, and stakeholder) descriptions to make multiple narratives in digital environments. Event description contains elements for articulating the 'frame' of each party of the conflict. The merits of this model are; i) to accumulate the adequate context information systematically by adopting dynamic narrative model, and ii) to acquire the new items and connect them to related items easily and consistently through multi-entity description. This documentation model of environmental conflicts may support to shape the collective memory of community, and to achieve good governance by managing conflicts in the process of locating non-preferred facilities with due regard to values and perceptions of residents and communities.

• (The)Study of the Eastern Classic
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• no.36
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• pp.57-83
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• 2009

Confucius who lived an era as cosmic being 2500 years ago put an end to confusion of the time and proposed cultivating the self(修養) as a way to live everyone's human life. Confucius recognized that when one satisfies individual' desire and sticks to the self without knowing the self which is comic being, his home and further his nation must get into confusion. What Confucius put an end to the confused world and proposed how to live humanly is self-culture. Confucius considered that when one cultivates himself, he can obtain benevolence(ren(仁)) and be a wise man(君子) who can maintain his nature soundly. What Confucius proposed as a way of self-culture is to acquire by learning timely and practicing and live a practical life by looking back upon himself every minute for self-reflection(省察). Through this, he can be sound to practice benevolence, and finally get used to benevolence and stroll around benevolence. When one acquires benevolence, the key of one mind, actual and social confusion can be solved, from the viewpoint of Confucius. Through this, self-culture is the purposive key word to accomplish benevolence which is a key of Confucius thoughts, and the first step toward benevolence. That is why Confucianism says train myself to be a man of honor and let the others(the people) lead(Sugi Anin(修己安人)). The reason why overall the Analects of Confucius from "Hakyi(學而)" to "Yowal(堯曰)" discusses self-culture is that the self-culture is a basis to manage the world.

• Journal of Apiculture
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• v.34 no.1
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• pp.15-26
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• 2019

Tracheal mite (Acarapis woodi) is an internal parasite that is parasitic on the bronchus of adult bees and sucks fluid from the trachea. Since its first report by Rennie, it has been spread throughout Europe and in some Asian regions, with adjacent Japan and China reported in 2011 and 2012, respectively. Korea detected specific genes of A. woodi in 2015, but only one of 99 samples has been identified and the being of A. woodi has not been confirmed. In this study, we established a specific nested PCR method to confirm for detecting low-copy number of A. woodi-specific gene in bee samples. As a result, A. woodi-specific COI gene was amplified in 15 of 23 samples, and they were judged positive by melting point analysis and sequencing analysis. Although we could not observe the existence of the mites in bees, our results suggest that tracheal mit might exist in nature.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.703-708
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• 2022

Tables and figures in academic literature contain important and valuable information. Tables and figures represent the essence of the refined study, which is the closest to the raw dataset. If so, can researchers easily access and utilize these image data through the search system? In this study, we try to identify user perceptions and needs for image data through user and case studies. Through this study we also explore expected effects and utilizations of image search systems. It was found that the majority of researchers prefer a system that combines table and figure indexing functions with traditional search functions. They valued the provision of an advanced search function that would allow them to limit their searches to specific object types (pictures and tables). Overall, researchers discovered many potential uses of the system for indexing tables and figures. It has been shown to be helpful in finding special types of information for teaching, presentation, research and learning. It should be also noticed that the usefulness of these systems is highest when features are integrated into existing systems, seamlessly link to fulltexts, and include high-quality images with full captions. Expected effects and utilizations for user-centered image search systems are also discussed.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.115-135
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• 2023

The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.