• 한국식품영양학회지
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• 제31권5호
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• pp.616-630
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• 2018

This study analyzed the current status of registered patents related to food tech in Korea and Japan. Using the patent information search services of Korean and Japanese Patent Offices, patents registered during the past 10 years from January 1, 2005 to December 31, 2015 were searched with the following key words/phrases: "food or meal or diet" and "program or information system". A total of 669 patents (539 for Korea and 130 for Japan) were finally selected and analyzed. Based on Porter's value chain theory, the patents were categorized into three dimensions related to "manufacturing/processing/distribution", "sales & marketing", and "consumer support". The results showed that in Korea, 41.7% of the total patents were related to sales & marketing followed by consumer support (37.3%) and manufacturing/processing/distribution (21.0%). In Japan, patents related to consumer support accounted for 56.2% followed by manufacturing/processing/distribution (32.3%), and sales & marketing (11.5%). In the area of manufacturing/processing/distribution, "food quality management system" in Korea, and "food manufacturing and processing management system" and "food safety control and hazard analysis system" in Japan tended to show a significantly higher proportion of patents registered (p<.05). Under sales & marketing, patents in the categories of "food purchase and delivery service system" in Korea and "restaurant information sharing system" in Japan tended to be more frequently registered (p<.05). Finally, in the area of consumer support, "kitchen facility and cooking device control system" in Korea and "menu and nutrition management system" in Japan tended to account for a significantly higher proportion of patents registered (p<.001). The results are expected to provide useful insights into the development of new patents and markets for food tech in the future.

• 대한통합의학회지
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• 제8권3호
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• pp.113-120
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• 2020

Purpose : The purpose of this study is to investigate creative confluence competency of occupational therapy students and to understand the correlations between five sub-elements of creative confluence competency. Methods : The subjects of this study were 132 occupational therapy students. The data collection period was from February 12, 2020, to February 28, 2020. A Google questionnaire was used to collect data through SNS; 16 data with insufficient responses were excluded, and 116 data were finally analyzed. The collected data was processed using SPSS 21.0. The data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test and Pearson's correlation coefficient. Results : The mean scores for creative confluence competency of the occupational therapy students is as follows: Creative ability 3.12±.58, creative personality 3.29±.55, creative leadership 3.50±.53, convergent thinking 3.23±.57, confluent value creation 3.04±.59. Occupational therapy students' creative leadership competence was highest, and confluent value creation competence was lowest. The average score of creative confluence competency of occupational therapy students was 3.12±.58, and the Cronbach' α value of the creative confluence competency was .97, which was very reliable. There was a positive correlation between the five sub-elements of creative confluence competency. Conclusion : The data in this study are related to efforts to improve occupational therapy students' creative confluence competency and prepare for convergence education. And It is expected to be used as basic data for the development of occupational therapist competency to prepare for the 4th industrial revolution.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.376-378
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• 2021

세계기상기구가 발표한 2020년 글로벌 기후 보고서에 따르면, 2019년 지구의 평균 온도는 산업화 이전인 1850년에서 1900년사이에 측정된 온도보다 평균 1.1℃ 높게 측정되었다. 평균온도의 변화는 기온 상승이 식물 분포에 미치는 영향과 취약성 분석 논문의 따르면 평균온도의 상승시 식물의 분포되는 지역의 변화가 있다는 것을 알 수 있다. 본 논문에서는 이러한 환경 변화에 대응하기 위해, 아두이노와 센서를 사용하여 간헐흐름식 수경재배 스마트팜을 제작하고, PC와 어플리케이션을 통하여 제어하는 방법을 제안한다. 제작된 수경재배 스마트팜은 농장의 온습도, 양액의 ph농도, 조도, 수질의 정도를 파악하고, 양액의 양과 보충 필요 농도 확인, 조도의 따른 생장 LED 제어, 센서의 상태를 파악하여 농장의 전체적인 관리와, 식물의 모종 옮겨심기 이후의 적절한 환경에서 성장할 수 있도록 제어한다.

• 공학교육연구
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• 제21권1호
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• pp.27-36
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• 2018

This study aims to deduce operational implication of R-WeSET program through women students in science & engineering and companies's perception and assessment on the basis of NCS key competency. The significant results are as follows. Firstly, companies and women students in science & engineering share a similar perception on importance of NCS key competencies. The programs should be reviewed and improved for women students who are truly aware of companies' needs. Secondly, the main areas of NCS key competency that are poor in companies' perception are 'positive thinking & drive', 'creativity & challenge spirit', 'communication skills' and 'problem-solving skills'. To enhance these weak skills, activating the actual programs such as "Convergence Design Camp", "Field Adaptability Improvement" and developing the new communication program are required. Lastly, most of women students have attained the satisfying result from "Field Competency Reinforcement Program". Especially, "Industry Field Training" shared the great progresses on all skills of key competency, hence why the progressive model should be developed in the future. This study figures out who's the right person for the 4th Industrial Revolution era, producing a meaningful result in order to change in the higher education system of women students and to grow human resources who will contribute to the community and company.

• 한국수학교육학회지시리즈E:수학교육논문집
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• 제32권2호
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• pp.113-129
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• 2018

근래 들어 수학 학습 부진아들을 위해 수학클리닉과 관련된 연구가 많이 수행되고 있지만 수학 수업과는 별개의 상담을 실시하거나 수학 학습 상담과는 무관한 기초학습 지도에 초점을 둔 연구가 대부분이다. 본 연구는 수학 학습 상담이 수학 수업과 무관할 수 없다는 관점에 따라 수학 클리닉 상담을 수업과 연계하여 실시하는 것에 중점을 두었다. 즉, 학생이 호소하는 인지적, 정의적, 수업 활동에서의 문제점을 수학 수업과 연계시키면서 수학 클리닉 상담을 통해 개입하는 사례를 보이고자 하였다.

• 대한조선학회논문집
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• 제60권2호
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• pp.95-109
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• 2023

In the 4th industrial revolution, changes in the technological paradigm have had a direct impact on the maintenance system of ships. The 2-stroke low speed engine system integrates with the core equipment required for propulsive power. The Condition Based Management (CBM) is defined as a technology that predictive maintenance methods in existing calender-based or running time based maintenance systems by monitoring the condition of machinery and diagnosis/prognosis failures. In this study, we have established a framework for CBM technology development on our own, and are engaged in engineering-based failure analysis, data development and management, data feature analysis and pre-processing, and verified the reliability of failure mode DB using LSTM algorithms. We developed various simulated failure mode scenarios for 2-stroke low speed engine and researched to produce data on onshore basis test_beds. The analysis and pre-processing of normal and abnormal status data acquired through failure mode simulation experiment used various Exploratory Data Analysis (EDA) techniques to feature extract not only data on the performance and efficiency of 2-stroke low speed engine but also key feature data using multivariate statistical analysis. In addition, by developing an LSTM classification algorithm, we tried to verify the reliability of various failure mode data with time-series characteristics.

• 한국태양에너지학회:학술대회논문집
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• 한국태양에너지학회 2011년도 추계학술발표대회 논문집
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• pp.376-382
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• 2011

Since the Industrial Revolution has caused global change by using of a fossil fuel, a reckless and growth-oriented development. A global mean temperature since 19th century has climbed up 0.4~$0.8^{\circ}C$. Our country, afterwards, global warming has increased the temperature every season. After The Kyoto Protocol regarding a greenhouse gas reduction goal took effect, be situations that decrease of greenhouse gas was acutely required. Therefore, interest of utilization of the new & renewable energy is increasing everyday. In advanced research, we shows that at first divided a country to nine range by natural geography, and second executed Meteorological data analysis of recent 30 years considering level of significance by nine range. The results of advanced research are that the similarities are low because there are the regions that temperature deviation of the similar climate regions is large in winter season, and there are not characteristics of clear discrimination of temperature. This study shows that at first divided a country to six range by temperature range, and second executed Meteorological data analysis of recent 30 years considering level of significance by six range. The results of this study are that in heating load calculation of building, periodic temperature data management is required because facility capacity and cost are affected greatly by outdoor temperature, and temperature by climate range needs consideration of pertinent area. Ground temperature was assumed of the weather in region, the ground and soil. Lastly, we were able to know that establishment of climate region by temperature range can be useful policy making and plans of design of the horticultural facilities and architectures.

• 무역학회지
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• 제46권5호
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• pp.65-81
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• 2021

The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

• 한국정보시스템학회지:정보시스템연구
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• 제32권3호
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• pp.205-224
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• 2023

Purpose This study investigates the impact of organizational characteristics on organizational performance through case studies of smart factory implementation in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study adopts the smart factory index of KOSMO (Korea Smart Manufacturing Office) established by Korean Ministry of SMEs and Startups. We visited 3 firms implemented smart factory projects. This study presents the results of field study in detail with evaluation criteria on how organizational competences like AI technology adoption and facility automation can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach There are not so many results of empirical studies related to smart factories in Korea. This is because organizational support and user involvement are required for facility AI platform service beyond factory automation after the start of the 4th Industrial Revolution. Korean government's KOSMO (Korean Smart Manufacturing Office) has developed and proposed a level measurement index for smart factory implementation. This study conducts case studies based on the level measurement method proposed by KOSMO in the process of conducting case studies of three companies belonging to the root and mechanic industries in Korea. Findings The findings indicate that organizational competences, such as facility AI platform adoption and user involvement, are antecedents to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competences and organizational performance through smart factory case studies. This study suggests that SMEs should focus on enhancing their organizational competences for improving organizational performance through implementing smart factory projects.

• 수산경영론집
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• 제49권3호
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• pp.67-83
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• 2018

This study is aimed at finding policy directions for Korean fisheries and fishing villages by using Delphi method for fisheries experts. Fisheries experts have highly evaluated the achievements of fostering aquaculture industry, seafood export support measures, and natural disasters relief and recovery arrangements among the policies promoted as so far. And it was recognized that policies such as fishery resources management, creation and recovery of fishery resources, improvement hygiene and seafood safety, and provision young fishermen with training and capacity building will be important. Future megatrends, for example changes in food consumption pattern, climate change, and demographic structure changes are expected to have a significant impact on fisheries and fishing villages. The Delphi survey indicates that the most important policy objective is to secure a stable fisheries production. In other words, fisheries policy in the future should be aimed at suppling sustainable seafood for popular consumption. Finding strategies and action plans that can achieve this goal will be an important policy issue. In conclusion, it is necessary that a number of fundamental researches carry out in Korea, which can lead to finding out a multifunctionality of fisheries and fishing village. In addition, it is important to expand the scope of fisheries policy, which can consider not only the fisheries producers but also seafood consumer's and young fishermen perspectives. Furthermore, it recommends that fishery policy needs to include fishery related industry as well as application of 4th industrial revolution technology to fishery.