• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.651-659
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• 2016

The purposes of this study is to investigate the influence of career recognition upon career development competencies and educational needs. To achieve this, the survey was carried out and 362 undergraduates participated. The findings of the survey were shown as follows: First, the students perceived that career management was needed the most, and then came career information searches. Next, career transition technologies, positive self-concept formation, career planning, and effective interpersonal relationships were in order. Second, the influence of career recognition upon the level of the preparations showed statistically significant differences, however, the influence of career recognition upon the level of the requirement did not reveal statistically significant differences. Third, the rating of the educational needs was identical from the first place to the third, but different from the fourth to the sixth. These results will contribute to enhancing the efficiency of career education.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2011.10a
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• pp.17-17
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• 2011

본 연구는 지역이 가지고 있는 중요한 자원을 자연 생태적 요소, 역사 문화적 요소, 시각 환경적 요소 등으로 분류한 후 충남지역 16개 시 군을 대상으로 군의 상징적 요소로서 가치 있는 자원의 발굴과 동시에 개발에 밀려 점점 사라져가는 농산어촌 대표경관의 추출을 통해 자원의 중요성을 AHP(계층 분석적 의사 결정기법)모델을 통해 분석하여 상호 중요도를 파악하고자 한다. 이러한 연구를 통해 지역의 대표적인 상징적 요소와 경관적 요소의 상관성을 파악함과 동시에 중요도에 따라 순위(ranking ordering)를 결정함으로서 지역의 정체성(identity)을 확보하고, 향후 보전할 자원의 특성을 파악함으로써 지역의 문화적, 환경적, 생태적 자원가치의 패러다임을 구축하고자 한다. 연구방법은 1차적으로 문헌조사를 통한 지역의 자원특성에 대한 분류체계를 설정한 후 전문가 집단을 선정하여 설문조사를 통한 통계적 분석방법을 사용하고자 한다. 전문가 집단은 지역에 대한 비교적 잘 파악하고 있는 지역전문가(관련대학 교수, 공무원, 연구원 등)로 구성하였으며, 1, 2차 설문을 통한 상징성 및 대표경관자원을 최종적으로 선정한 후, 3차 설문에서는 농촌 및 경관관련 전문가 집단을 재선정하여 AHP(계층 분석적 의사결정)기법을 통한 자원의 중요도를 파악하고자 한다. 분석방법은 자료의 계량적 분석을 위해 통계프로그램인 SPSS 12.0 for Windows와 도출된 상징요소의 가중치를 파악하기 위해 AHP 프로그램인 ExpertChoice 2006을 사용하여 도출된 상징요소의 가중치별 순위를 측정하여 분석의 과학성, 논리성, 타당성을 확보하고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.1533-1549
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• 2017

정부 R&D성과의 질적 수준을 제고하고 중장기 국가 재정사업의 효율성을 높이기 위한 각 연구 기관의 시도들이 있어 왔다. 연구사업의 발굴, 기획 및 수행에 있어 효과적인 정부 R&D 예산의 배분, 우선순위를 도출, 기술개발 전략 수립을 하는 것이 매우 중요해지고 있다. 정부 재정사업인 국가 R&D사업은 국가 기간산업을 활성화하고 경제발전을 수반할 수 있는 중요한 모멘텀으로서의 역할을 하고 있다. 또한, 국가 R&D사업의 한 축인 거대과학은 최첨단 기술의 개발과 미래성장동력의 발굴이라는 대명제로 그 중요성이 강조되고 있다. 거대과학 연구는 그 분야의 특수성으로 인해 대학의 과학자, 공공 연구기관의 연구원, 기업의 엔지니어가 함께 참여하여야 하고 대규모 국가 예산을 동원하는 과학 연구 사업이다. 이는 대규모 예산을 기반으로 하고 있기에 집중적 투자가 수반된다면 단기적으로 기초과학의 발전을 이뤄낼 수 있다. 이것은 산업발전에 밑거름이 되어 그 분야 자체로 하나의 산업생태계를 구성하고 요소 기술들의 응용으로 파생기술이 전파된다면 새로운 신산업 창출 등 국가산업에 많은 혜택을 줄 수 있다. 하지만 많은 인력과 대규모 투자 그리고 중장기 프로젝트라는 특성으로 인해 실패 가능성도 높아 전략적 선택 및 추진이 필요하다. 따라서 본 논문에서는 거대과학의 기술개발전략의 수립을 위하여 중이온 입자가속기 핵심부품 국산화 전략수립 사례를 중심으로 효율적인 R&D추진 방안을 도출해보고자 한다. 또한, 논문, 특허를 기반으로 한 3P분석을 통하여 중이온 가속기 핵심부품의 국산화 전략을 제안하고, 추진 우선순위 및 전략을 제시하고자 한다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.10
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• pp.2544-2550
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• 2014

The purpose of this paper is to identify the correlation of entrance score by observation and nomination system and performance assessment score for the gifted children in IT. In other words, the purpose of this paper is to investigate the reliability of observation and nomination system by analyzing and comparing entrance scores and performance assessment score during the period of attendance for the gifted children in IT. For this purpose, the gifted children are selected and analyzed in a gifted science center attached to a university at Seoul Metropolitan Area. The analysis results show that there is meaningful correlation between entrance score and performance assessment score. That is, if high scores in entrance exam means high scores in performance assessment scores. The result will be useful to trust and extend observation and nomination system for the selection of gifted children in IT.

• The Journal of shipping and logistics
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• v.34 no.4
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• pp.677-694
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• 2018

The ocean is a unique space for exchange with the city, forming an organic relationship between people and waterfront areas. The marine healing industry improves quality of life through medical care and well-being, and creates added value by combining with the medical industry. The policy analysis results are as follows. First, the marine healing industry is the newest high-growth area. Furthermore, a professional medical service hospital is the first priority. This will include the development of marine healing facilities and strengthening forest healing connectivity, emphasizing the development of highly specialized medical technologies. The second priority is value creation in marine healing specialization, accompanied by an integrated and systematic policy for research and development of new medicines in marine healing effects. It is also important to apply new market trends and develop applied marine healing service programs. Thirdly, it is necessary to explore the possibility of a fragmented market for policy development.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.268-273
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• 2019

The study was to find out whether the more difficult each activities of daily living(ADLs) is, the more high subjective health status, or health insecurity, is among those in their 65 or older in Seoul and Gyeonggi Province. The subjects were asked up to 1 to 5 points for subjective health status and ADLs. And according to the performance level of each activities of daily living, the order trend was analyzed in four groups (very difficult, difficult, easy, and very easy) by Jonckheere-Terpstra. Order trends were also compared using a linear regression line. Depending on the degree of difficulty in "using toilet," "bathing" and "shopping," the insecurities in subjective health status showed a corresponding order differences. It has been shown that the slope of "using toilet" on a linear regression line is the largest. The more difficult it was to "use toilet," "bathing" and "shopping," the higher the score of health insecurity was.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.305-316
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• 2022

This study attempted to analyze the jobs of early childhood special education teachers working in kindergarten's special classes using the DACUM technique. To this end, the DACUM Committee was formed with six early childhood special education teachers with extensive field experience. A total of six DACUM workshops were conducted to derive job definition, job descriptions, and job specifications. As a result, the job description of early childhood special education teachers consisted of 9 duties and 53 tasks, and the job specification consisted of 80 knowledge, 98 skills, and 22 attitudes. Early childhood special education teachers working in kindergarten's special classes were tasks differentiated from special education teachers working in elementary and secondary school including home-linked guidance, health and safety management, elementary school transfer guidance, environmental composition according to play topics, and indoor and outdoor play activities guidance. In the case of knowledge, the Special Education Act on the Disabled, etc. and knowledge on behavioral modification took precedence. Skill showed high frequency of observation-record, parental interviews and parental education skills. Attitudes as experts and administrators took priority. The results of this job analysis can help organize a curriculum to train early childhood special education teachers with high job competency in universities.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.165-170
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• 2023

This paper proposes an algorithm that can obtain a solution with linear time for a set cover problem(SCP) in which there is no polynomial time algorithm as an NP-complete problem so far. Until now, only heuristic greed algorithms are known to select sets that can be covered to the maximum. On the other hand, the proposed algorithm is a competitive algorithm that applies an inclusion-exclusion principle rule to N nodes up to 2nd or 3rd in the maximum number of elements to obtain a set covering all k nodes, and selects the minimum cover set among them. The proposed algorithm compensated for the disadvantage that the greedy algorithm does not obtain the optimal solution. As a result of applying the proposed algorithm to various application cases, an optimal solution was obtained with a polynomial time of O(kn²).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.6D
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• pp.727-736
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• 2009

Many of the researchers have tried to enhance the satisfaction of both users and owners of social infrastructures by applying the asset management methodology. This study is to develop more efficient asset management framework for bridge management. Based on various literature review, an asset management procedure for bridge management was suggested, and appropriate practices at each step were given. The suggested procedures include the determination of operation and maintenance strategy, level of service, performance measure, valuation of assets, and decision-makings. In addition, this study suggests an applicable decision-making process for the resource distribution based on the management strategy.

• Journal of Practical Agriculture & Fisheries Research
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• v.20 no.1
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• pp.107-123
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• 2018

The global impact of climate change on agriculture is now increasing. The purpose of this study was to investigate the effect of climate change on livestock productivity. The variables that have the greatest influence on climate change factors were examined through previous studies and expert surveys. We also used the actual productivity data of livestock farmers to investigate the relationship with climate change. In order to evaluate the climate for changes in livestock productivity, national representative data (such as bullocks, dairy, pigs, laying hens, and broilers) were surveyed in Korea. Also, to select and classify evaluation indexes, we selected climate change factor variables as prior studies and studied the weighting factor of climate variable factors. In this study, the researchers of industry, academia, and farmers in the livestock sector conducted questionnaires on the indicators of vulnerability to climate change using experts, and then weighed the selected indicators using the hierarchical analysis process (AHP). In order to verify the validity of the evaluation index, was examined using domestic climate data (temperature, precipitation, humidity, etc.). Correlation and regression analysis were performed. The empirical relationship between climate change and livestock productivity was examined through this study. As a result, we used data with high reliability of statistical analysis and found that there are significant variables.