• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.269-270
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• 2022

안전문화가 우리 산업현장에 정착되고, 조직구성원에게 내재화될 때 비로소 안전한 환경에서 근무할 수 있다. 아울러 올해 「중대재해처벌법」이 시행되면서 조직은 더욱 안전문화에 관심을 두게 되었고, 안전문화 측정의 필요성을 인지하게 되었다. 안전문화 수준을 진단하는 것은 조직구성원의 안전에 대한 인식과 태도의 수준을 알 수 있고, 조직의 문제점과 개선이 요구되는 사항을 확인할 수 있어 작업환경개선의 출발점이라 할 수 있다. 본 연구의 목적은 국내 연구·개발된 안전문화 진단도구를 고찰하여 연구 동향을 파악한 후 안전문화 관련 연구의 방향을 제시하고자 한다. 또한, 향후 BCMS 분야에 적합한 진단도구 개발에 관한 기초자료로 활용되기를 기대한다.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.999-1012
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• 2003

To produce quality software products, engineers must feel personally responsible for the qualify of products. Superior products are not produced by mistake; engineers must strive to do quality work. Every engineer is different and has own process improvement method. To be most effective, engineers must plan their work and they must base their plans on their own personal data. To consistently improve their performance, engineers must personally use well-defined and measured processes. The Personal Software Process(PSP) is a self-improvement process designed to help software engineers control, manage, and improve the way they work. It is a structured framework of forms, guidelines, and procedures for developing software. Properly used, the PSP provides the historical data you need to better make and meet commitments and it makes the routine elements of your job more predictable and more efficient. Then, PSP is the very useful tool to train the students in Programming Language Course. This paper is to provide the concept of PSP/TSP and the sample curriculums for Program Language Training Courses. Personal Software Process(PSP) to train students of Programming Language Courses

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.73-79
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• 2019

Research is underway on services and systems that provide real-time alerts for suffocating gases and potentially explosive materials, but currently smart bend type services are lacking. This study supports real-time identification of explosion hazards due to static electricity in the workplace and immediate elimination of accident occurrence factors, real-time monitoring of worker status and workplace hazards (oxygen, hazardous chemical concentration), and immediate warning and data in case of danger. We propose a method of establishing an accident prevention system through analysis. In this way, various accidents that may occur in industrial sites are monitored using IoT-based intelligent sensor nodes, wireless network technology, data processing middleware, and integrated control system, and real-time risk information at the industrial sites is prevented and accidents are prevented. By supporting a safe working environment, the company can significantly reduce costs compared to post-procurement costs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.121-126
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• 2019

Despite the trend of decreasing accidents, falling accidents in the construction industry have not decreased and are even rising. Most major accidents are falling accidents caused by hanging scaffolding and are mostly serious. We conducted a review of the literature, institutions, and regulations, which showed that domestic standards are not unified because they are drawn up by referring to overseas standards for hanging scaffolding. New regulations or standards should be established, which should reflect the safety plans for equipment, work advance plans, education, and management. If facility improvement plan for Hanging Scaffolding and implementation of revision of the current work use, regulations and guides are implemented, it will be recognized in advance of the causes of the accident statistics and the classification system and will be the basis for the implementation of joint efforts by workers, managers, supervisors and owners to reduce accidents.

• The Journal of Korean society of community based occupational therapy
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• v.3 no.2
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• pp.1-12
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• 2013

Objective : The objective of this study is to present basic data to find health care plans for the elderly by comparing time-management ability and ADL and identifying the relationships between groups with subjects of elderly people living alone and living with family in Daejeon Metropolitan City. Method : A total of 80 elders who lived alone or with family that were aged 65 or older were selected with MMSE-K, 40 people were selected as subjects for each group. For time-management ability, a questionnaire was used. ADL were assessed by using FIM. The study period was May to June 2013. Result : Comparison of scores for time-management ability and FIM of the elderly who live alone or living with family did not show any statistically significant difference. In comparison of detailed scores between groups, there were statistically significant differences between the two groups being social interaction, problem solving and memory in social cognition items among detailed items. Conclusion : Through this study, we understood that social cognitive function of the aged living alone who had less opportunity of interaction compared to that of the aged living with family was lowered. Based on this, development and study on various programs should be made with consideration of sociodemographic characteristics of the elderly within community-based occupational therapy in the future.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.1-6
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• 2007

최근 다양한 기기와 환경에서 문자 입력에 대한 요구가 높아지고 있다. 이에 따라 효율적인 문자 입력 인터페이스 설계를 위해 문자 입력 인터페이스의 평가가 필요한 실정이다. 기존 연구를 살펴보면 문자 입력 시간을 시각 탐색 시간과 손가락 이동 시간으로 나누고 정보처리 이론인 Hick-Hyman Law와 Fitts’ Law를 통해 예측, 평가 하였다. 하지만 위 두 과정은 연속적(serial)인 과정으로 눈과 손의 coordination(협응)에 대해 관과 하는 한계가 있다. 또한, 기존 문자 입력 시간 예측 모델은 전문가라는 특정 숙련도를 가정하고 만들어졌기 때문에 실제 문자 입력 시간에 비해 과대 측정되어 왔다. 이에 본 연구는 문자 입력 시간 예측 모델에 눈-손 coordination 매개변수를 삽입하고자 눈-손 coordination의 시간을 측정하고 행태를 분석하였다. 또한, 비숙련자와 숙련자의 구분을 통해 시각 탐색 시간과 손 움직임 시간 그리고 눈-손 coordination의 시간 과 행태가 어떻게 변화하는 지 분석하였다. 그 결과 눈-손 coordination 시간은 문자 입력 시간과 밀접한 관계가 있었다, 그리고, 눈-손 coordination 시간은 숙련도에 상관없이 문자 입력 시간의 22%를 차지하였다. 또한, 숙련자와 비숙련자의 문자 입력 시간과 비교해 손과 coordination 시간 비율은 차이가 없었다. 하지만, 눈의 움직임 시간 비율은 큰 차이를 나타내었다. 이 결과는 눈-손 coordination과 숙련도 차이를 기존 문자 입력 예측 모델에 매개변수로써 적용하기 위한 기초 자료가 될 것이다.

• Journal of Korean Society of Rural Planning
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• v.24 no.1
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• pp.47-60
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• 2018

계획적이고 안정적인 영농을 위해 영농작업 인력을 확보하는 것은 매우 중요하다. 하지만 농가인구의 감소로 인한 농업인력 확보의 어려움과 농업노동 임금의 지속적인 증가는 경영주에게 이중의 고통이 되고 있다. 따라서 본 연구에서는 농가처분가능소득이 전국에서 가장 높은 강원도를 지역 표집으로 선정하여 Bivariate Probit 모형을 이용해 내국인과 외국인 고용의 상호 관계를 고려한 고용인력 수요 결정요인을 살펴보았다. 분석결과, 첫째, 3개월 이상 노동력을 고용하는 농가들의 경우 내국인 고용수요와 외국인 고용수요 간에는 양(+)의 상관관계가 있는 것으로 나타났다. 둘째, 전형적인 도시근교 농업의 특징을 나타내는 춘천시에 비해 강원도내 타 지역 농가들은 다른 변수들이 일정할 경우 내국인과 외국인의 고용수요가 증가하는 것으로 나타났다. 셋째, 젊은 경영주일수록 내국인 상시 고용에 대한 수요가 높고, 농가조직에 참여하고 있는 농가일수록 자가노동 확률은 0.13% 감소하고, 상시 농업 노동력에 대한 수요가 증가하는 것으로 나타났다. 이러한 분석결과를 종합한 농업 노동력 확보를 위한 정책적 시사점으로는 첫째, 상시고용된 농업인력들을 대상으로 국내외 문화 차이를 인지하고, 내국인 노동자와 외국인 노동자간의 협력 네트워크 구축을 위한 영농교육 확대가 필요하다. 둘째, 각 지역별로 내국인 또는 외국인 노동자의 상시고용 수요가 상이한 것으로 나타나 강원도내 지역별 농산업 현황을 기반으로 "(가칭)강원도 농업 인력 수급 플랫폼" 구축이 필요하다. 셋째, 청년창업농과 농가조직 참여 농가들을 대상으로 농작업 상시고용 인력을 우선적으로 매칭해 주는 것이 필요하다.

• Korean Journal of Cognitive Science
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• v.13 no.3
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• pp.33-46
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• 2002

Recently, unstructured random data such as website logs, texts and tables etc, have been flooding in the internet. Among these unstructured data there are potentially very useful data such as bulletin boards and e-mails that are used for customer services and the output from search engines. Various text mining tools have been introduced to deal with those data. But most of them lack accuracy compared to traditional data mining tools that deal with structured data. Hence, it has been sought to find a way to apply data mining techniques to these text data. In this paper, we propose a text mining system which can incooperate existing data mining methods. We use text mining as a preprocessing tool to generate formatted data to be used as input to the data mining system. The output of the data mining system is used as feedback data to the text mining to guide further categorization. This feedback cycle can enhance the performance of the text mining in terms of accuracy. We apply this method to categorize web sites containing adult contents as well as illegal contents. The result shows improvements in categorization performance for previously ambiguous data.

• Korean Journal of Cognitive Science
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• v.14 no.2
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• pp.1-13
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• 2003

We introduce a way to generate morphologically and syntactically well-formed English sentences when building Korean to English bilingual dictionary for Machine Translation Systems. It has been proved that basic inflectional or structural descriptions for English sentences are by no means enough to generate proper English sentences because of traditional dictionary structures. Furthermore, much research has been focused only on how to disambiguate semantic ambiguities of words in a bilingual dictionary To take advantage of existing paperback Korean to English bilingual dictionary, its automatic conversion to an electronic version and methodologies to assign proper features to the descriptions for well-formed English sentences with minimum human effort have been proposed on the basis of the dictionary-specific structures. This approach was originally motivated for a glossary-based machine translation system, but it can be also applied to large scale dictionary work.

• Journal of Labour Economics
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• v.30 no.3
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• pp.1-41
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• 2007

Since Korea experienced a 'jobless growth' in 2003, creating jobs in the service sector has been considered as a top priority employment agenda. However, despite high employment outcomes in services, labor productivity remains stagnant in the service sector in recent years. A great deal of concern has been raised regarding newly created service jobs. Critics say low productivity in the service sector will harm the engine of economic growth in our country. This paper investigates the side of the demand for quality of labor, namely, the demand for skills as one of the main source of low productivity in the service sector. To analyze the changes of skills demand, this paper suggests the concept of job-based skills instead of worker-based skills and presents the way of constructing measures of job-based skills. By means of common factor analysis using job information in the Korean Dictionary of Occupational Titles, I extract 4 direct measures of job-based skills, such as cognitive skills, physical skills, fine skills, interactive skills. These skill measures are used to explore and to test how the skill structure changed in the service sector during 2002-2006. Empirical Results show that whereas the goods sector makes progress toward upskilling being represented by increased cognitive elements and softenization of tasks, the service sector, although high-educated workers increased, exhibits trends of deskilling in the sense of job-based skills during 2002-2006 in Korea. The trend of deskilling however does not seem a general aspect in the overall service sector. Rather, it seems a compound process that high-skilled jobs are created, but, on the other hand low-skilled jobs requiring physical labor are produced at the same time.