• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 1993.05a
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• pp.11-12
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• 1993

70년대 석유파동이후 급격히 증가되던 태양에너지 이용 기술개발에 대한 관심이 80년대 들어 석유가격의 안정세와 더불어 서서히 식어가기 시작하였으며, 심지어 어떤 이들은 태양에너지는 실용화가 안 되는 기술이라는 선입견을 가지고 경제성이 확보될 때까지 기다려야 한다는 말을 하기도 한다.

• The Monthly Diabetes
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• s.149
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• pp.18-19
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• 2002

당뇨병의 여러 합병증은 주기적인 검진과 함께 환자들도 인식을 많이 하고 있다. 그러나 상대적으로 생명과는 별 연관이 없는 듯 보이고 환자에 따라서는 일시적일 수 있는 신경병증과 이에 따른 발병변에 관해서는 관심이 덜한 편이다. 하지만 조금만 신경쓰면 별 문제없이 생활할 수 있는 발질환을 대수롭지 않게 여기다 결국 조기진단과 치료가 안되어 고생하고, 심지어 발을 절단해 삶의 질을 떨어뜨리는 환자가 많다.

• KOREAN POULTRY JOURNAL
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• v.38 no.8 s.442
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• pp.103-106
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• 2006

여름철만 되면 혹서로 인한 생산성 감소와 심지어 폐사가 속출하는 경우가 빈번히 발생하면서 사양가들은 혹서기 사양관리에 관심이 집중되는 시기이다. 특히 닭은 열에 민감한 동물로 여름철 열차단이 무엇보다 중요한 시점이다. 이에 본고는 7월 11일 서울 성수동에 위치한 전문 단열업체인 세원물산을 방문하여 여름철 단열의 중요성을 알아보았다.

• Journal of the KSME
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• v.30 no.S1
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• pp.82-90
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• 1990

생체역학분야는 선진국에서는 매우 활발한 분야이며 이웃 일본, 중국 등에서도 여러분야에 걸쳐 광범위하게 활용하고 있으며 이 분야의 연구 및 개발에 컴퓨터 특히 PC를 많이 사용하여 왔다. 우리나라에서는 사실 이 분야에 대하여 소홀히 하여 왔으나 최근 이 분야에 대한 관심이 고조 되어 여러 연구소가 세워지고 있고 대학에서도 이 분야의 학과를 신설하고 있다. 앞으로 국민 복지 향상을 위해서 또한 제품의 고급화를 위하여서도 생체역학 분야의 연구가 더욱 활성화되 어야 하겠다.

• Journal of the Korea Construction Safety Engineering Association
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• v.2 no.3 s.5
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• pp.62-64
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• 1992

지난 8월 24일 EBS교육방송 ‘직업의 세계’ 대담프로어 본 협회 권오석 회장, 안영주(삼성건설(주) 이사), 조선구(롯데건설(주) 안전감독관)씨 등이 출연하여, 최근 안전의 중요성이 대두됨에 따라 관심이 모아지고 있는 ‘건설안전기사’에 대하여 이야기를 나누었다. 본고는 대담내용을 요약 정리한 것이다. <편집자주>

• Journal of Intelligence and Information Systems
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• v.18 no.2
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• pp.1-17
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• 2012

The Smartphone, one of essential mobile devices widely used recently, can be very effectively applied to capture knowledge on the spot by jointly applying the pervasive functionality of cloud computing. The process of knowledge capturing can be also effectively automated if the topic of knowledge is automatically identified. Therefore, this paper suggests an interdisciplinary approach to automatically acquire knowledge on the spot by combining technologies of text mining-based topic identification and cloud computing-based Smartphone. The Smartphone is used not only as the recorder to record knowledge possessor's dialogue which plays the role of the knowledge source, but also as the sensor to collect knowledge possessor's context data which characterize specific situations surrounding him or her. The support vector machine, one of well-known outperforming text mining algorithms, is applied to extract the topic of knowledge. By relating the topic and context data, a business rule can be formulated, and by aggregating the rule, the topic, context data, and the dictated dialogue, a set of knowledge is automatically acquired.

• 재활복지
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• v.21 no.1
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• pp.1-26
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• 2017

The main purpose of this paper is identifying the trends of researches in the realm of social welfare for disabled people. It tries to introduce an alternative analytic approach - key word network analysis - that might surpass the shortage of analysis methods of existing studies which have mainly relied on descriptive analysis. For this purpose the authors constructed a database composed of key words and informations about research methods of the data sources of this study. The sources are such researches as doctoral theses and the papers of Korean Journal of Social Welfare and Journal of Rehabilitation Research which were published during the 20 years from 1996 to 2015. Total numbers of the thesis or papers analysed at this study are 1,034. The results are shown in three ways as follows: First, the method trends of selected researches. Second the lists of interested types and population groups of the disabled persons and interested issues. Third, the intellectual structure of the research. Based on the findings of this study, some suggestions are given considering desirable directions of future researches in relation to perspectives, methods, targets and subjects of them.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.3
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• pp.79-97
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• 2021

The public's interest in the information disclosure system is increasing daily in line with the democratic cause of a transparent government and demands of the people to build on their right to know. Meanwhile, as society develops, the importance of culture and art in the quality of life is also increasing. Under these circumstances, culture and arts institutions are seeking to contribute to the expansion of the people's participation by providing timely and useful information and programs with high interest. Accordingly, this study intends to propose customized information services by analyzing the user's needs for information on public institutions in culture and arts and reflecting on the information disclosure service. For this purpose, three public institutions of in the culture and arts will be selected as representative examples to collect and cross-analyze the list of disclosed information received by users over a year. Furthermore, the requirements for the automation and intelligence of information disclosure tasks were summarized, and specific improvement plans were proposed for customized information services.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.225-236
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• 2013

The voice recognition has been made continuously. Now, this technology could support even natural language beyond recognition of isolated words. Interests for the voice recognition was boosting after the Siri, I-phone based voice recognition software, was presented in 2010. There are some occasions implemented voice enabled services using Korean voice recognition softwares, but their accuracy isn't accurate enough, because of background noise and lack of control on voice related features. In this paper, we propose a sort of multi-purpose preprocessor to improve this situation. This supports Keyword spotting in the continuous speech in addition to noise filtering function. This should be independent of any voice recognition software and it can extend its functionality to support continuous speech by additionally identifying the pre-predicate and the post-predicate in relative to the spotted keyword. We get validation about noise filter effectiveness, keyword recognition rate, continuous speech recognition rate by experiments.

• Journal of KIISE:Databases
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• v.36 no.1
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• pp.30-43
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• 2009

Broadcast in the wireless environment has drawn much attention because it is capable of sending data to clients regardless of the number of clients. Most previous researches have aimed at obtaining an independent data item in a minimum time. But, they have not been researched on simultaneously receiving dependent data items in a query. In addition, these papers have only researched allocation problem that have not been came out data items in a query in same time and different channels. The access probability of each data item based on query request probability have not been reflected. This paper proposes a new method of allocating data items and simultaneously minimizing average response time required in receiving all the dependent data items in a query. Our performance analysis shows that our proposed method gives better average response time over the existing methods.