• 한국산업정보학회논문지
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• 제28권1호
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• pp.9-16
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• 2023

산업 현장에서 해결해야 할 문제가 다양해지고 복잡해짐에 따라 팀 활동의 중요성이 더욱 커지고 있다. 팀의 성과는 팀원 성과의 단순한 합이 아니라 팀 내 상호작용에 따라 시너지를 얻거나 감소하기도 한다. 이러한 팀 활동에 관한 분석적 연구를 진행하기 위해 ICT 기술을 이용한 연구가 이루어졌지만, 이러한 기술을 개발하고 활용하는 것은 시간과 비용이 많이 소요되어 현장 실무자들과 연구자가 활용하기 어려운 한계점이 있다. 본 연구에서는 아두이노와 라즈베리 파이를 활용하여 저비용으로 대화 상호작용 정보를 수집하는 시스템을 설계한 뒤 여러 장치로부터 대화 상호작용 정보를 수집하여 데이터베이스에 올바르게 저장됨을 검증하였다. 본 연구에서 제안하는 저비용 정보 수집 시스템을 통해 산업정보의 다양한 분야에서 후속 연구가 이루어질 수 있는 환경을 조성하고자 한다.

• 한국의류산업학회지
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• 제24권1호
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• pp.81-94
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• 2022

The purpose of this study is to analyze the trends of MZ generation's lifestyle-related research from 2010 to 2020. As a result of searching keywords such as MZ generation's and lifestyle using academic database search sites, a total of 218 cases were used as analysis data to conduct frequency and content analysis. First, research type was 74 dissertations(34.6%), 144 journals(65.4%). The study of MZ generation was relatively active in journals. Second, the current status of academic field was 85(39.7%) in the social field, followed by 66(30.8%) in the arts/physical education, 21(9.8%) in the complex studies, 16(7.5%) in education, 15(7.0%) in nature, 6(2.8%) in engineering, 4(1.9%) in humanities, 1(0.5%) in agriculture/marine. Third, the current status of MZ generation research topics is 54 social participations(25.3%), 35 fashion/beauty(16.3%), 31 social/organizational adaptations(14.5%), 25 cultural/leisure activities(11.7%), 24 design/development projects(11.2%), 21 economic/employment/job projects(9.8%), 11 educational/career/experiences(5.1%), 9 self-concepts(4.2%), 4 welfare services(1.9%). Fourth, the current status of MZ generation research methods was quantitative research(survey/experiment) 125(58.4%), qualitative research(depth interview/participant observation) 42(19.6%), theory/literature research 35(16.4%) and mixed research 12(5.6%). Fifth, the study on the lifestyle of the MZ generation was conducted in four cases, one in 2016, one in 2019, two in 2020. This study is meaningful in that it grasped the overall flow of data of information exchange that can share the research trends of the MZ generation and suggested the basic data on the direction of future research, the individual tendency, behavior, and lifestyle characteristics of the MZ generation.

• 한국산업융합학회 논문집
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• 제25권6_2호
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• pp.1103-1110
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• 2022

The old machine tools that have been used for a long time cause both increase in defective rate and decrease in productivity compared to new machines due to wear and failure of their components. In order to improve productivity and quality of machined components through remanufacturing, it is necessary to analyze the wear and failure of major components of old machine tools. In this study, the process for reverse engineering is designed for the remanufacture of planner millers, which belong to a very large machine tool. Also, the suitability of the designed process is verified through the analysis of the selected remanufactured components. In the first step of the process, some major components of the aging planner miller are scanned using a 3D laser scanner. In the next step, reverse engineering is performed using the data obtained through 3D scanning. Finally, wear and failure analysis is performed by comparing the reverse engineering data with the scan data. As a result, this reverse design and wear analysis can complement the insufficient design database and reduce costs in the maintenance of remanufactured products.

• 예술인문사회 융합 멀티미디어 논문지
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• 제7권6호
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• pp.693-700
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• 2017

우리나라의 광산은 지질학적인 구조와 형상이 복잡하며, 규모가 작기 때문에 광산의 개발 및 관리와 채굴계획 수립에 정교한 측량성과와 3D 모델링이 필요하다. 하지만 데이터 취득 및 처리 기술과 경제성으로 인해 현재 기존의 방법을 이용하고 있다. 광산의 구조, 갱도, 채굴면적 등을 2D 도면을 기반으로 기록 및 관리하고 있으며, 이로 인해 인력과 시간의 낭비는 물론 정확도 문제로 인한 사고의 위험도 가지고 있는 실정이다. 최근 외국에서는 지질에 대한 조사 자료와 광산에 대한 공간정보를 통합하여 데이터베이스화 하고, 이를 광산관리 및 채굴계획 수립에 활용하고 있다. 본 연구에서는 레이저스캐너를 활용하여 광산관리와 채굴계획 수립을 위한 공간정보를 구축하고자 하였다. 연구를 통해 광산에 대한 공간정보를 효과적으로 취득하고, 자료처리를 통해 모델링 된 데이터를 생성할 수 있었다. 광산관리를 위한 3D 모델은 광산의 안전한 채굴계획 수립과 운영에 중요한 도구로써 활용이 기대된다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2021년도 학술발표회
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• pp.140-140
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• 2021

Urban flood management is a crucial and challenging task, particularly in developed cities. Therefore, accurate prediction of urban flooding under heavy precipitation is critically important to address such a challenge. In recent years, machine learning techniques have received considerable attention for their strong learning ability and suitability for modeling complex and nonlinear hydrological processes. Moreover, a survey of the published literature finds that hybrid computational intelligent methods using nature-inspired algorithms have been increasingly employed to predict or simulate the streamflow with high reliability. The present study is aimed to propose a novel approach, an ensemble tree, Bayesian Additive Regression Trees (BART) model incorporating a nature-inspired algorithm to predict hourly multi-step ahead streamflow. For this reason, a hybrid intelligent model was developed, namely GA-BART, containing BART model integrating with Genetic algorithm (GA). The Jungrang urban basin located in Seoul, South Korea, was selected as a case study for the purpose. A database was established based on 39 heavy rainfall events during 2003 and 2020 that collected from the rain gauges and monitoring stations system in the basin. For the goal of this study, the different step ahead models will be developed based in the methods, including 1-hour, 2-hour, 3-hour, 4-hour, 5-hour, and 6-hour step ahead streamflow predictions. In addition, the comparison of the hybrid BART model with a baseline model such as super vector regression models is examined in this study. It is expected that the hybrid BART model has a robust performance and can be an optional choice in streamflow forecasting for urban basins.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.119-127
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• 2022

Most of the construction works are conducted outdoors, so the construction workers are affected by weather conditions such as temperature, humidity, and wind velocity which can be evaluated the thermal comfort as environmental factors. In our previous researches, it was found that construction accidents are usually occurred in the discomfort ranges. The safety management, therefore, should be planned in consideration of the thermal comfort and measured by a specialized simulation tool. However, it is very complex, time-consuming, and difficult to model. To address this issue, this study is aimed to develop a framework of a prediction model for improving the prediction accuracy about outdoor thermal comfort considering environmental factors using machine learning algorithms with hyperparameter tuning. This study is done in four steps: i) Establishment of database, ii) Selection of variables to develop prediction model, iii) Development of prediction model; iv) Conducting of hyperparameter tuning. The tree type algorithm is used to develop the prediction model. The results of this study are as follows. First, considering three variables related to environmental factor, the prediction accuracy was 85.74%. Second, the prediction accuracy was 86.55% when considering four environmental factors. Third, after conducting hyperparameter tuning, the prediction accuracy was increased up to 87.28%. This study has several contributions. First, using this prediction model, the thermal comfort can be calculated easily and quickly. Second, using this prediction model, the safety management can be utilized to manage the construction accident considering weather conditions.

• 보건행정학회지
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• 제33권3호
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• pp.295-310
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• 2023

Background: The long-term care (LTC) group has higher rates of chronic disease and disability registration compared to the general older people population. There is a need to provide integrated medical services and care for LTC group. Consequently, this study aimed to identify medical usage patterns based on the ratings of LTC and the characteristics of benefits usage in the LTC group. Methods: This study employed the National Health Insurance Service Database to analyze the effects of demographic and LTC-related characteristics on medical usage from 2015 to 2019 using a repeated measures analysis. A longitudinal logit model was applied to binary data, while a linear mixed model was utilized for continuous data. Results: In the case of LTC ratings, a positive correlation was observed with overall medical usage. In terms of LTC benefit usage characteristics, a higher overall level of medical usage was found in the group using home care benefits. Detailed analysis by medical institution classification revealed a maintained correlation between care ratings and the volume of medical usage. However, medical usage by classification varied based on the characteristics of LTC benefit usage. Conclusion: This study identified a complex interaction between LTC characteristics and medical usage. Predicting the requisite medical services based on the LTC rating presented a challenge. Consequently, it becomes essential for the LTC group to continuously monitor medical and care needs, even after admission into the LTC system. To facilitate this, it is crucial to devise an LTC rating system that accurately reflects medical needs and to broaden the implementation of integrated medical-care policies.

• International journal of advanced smart convergence
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• 제12권4호
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• pp.104-110
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• 2023

In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

• Journal of Plant Biotechnology
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• 제50권
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• pp.127-136
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• 2023

Water scarcity decreases the rate of photosynthesis and, consequently, the yield of banana plants (Musa spp). In this study, transcriptome analysis was performed to identify photosynthesis-related genes in banana plants and determine their expression profiles under water stress conditions. Banana plantlets were in vitro cultured on Murashige and Skoog agar medium with and without 10% polyethylene glycol and marked as BP10 and BK. Chlorophyll contents in the plant shoots were determined spectrophotometrically. Two cDNA libraries generated from BK and BP10 plantlets, respectively, were used as the reference for transcriptome data. Gene ontology (GO) enrichment analysis was performed using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) and visualized using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway prediction. Morphological observations indicated that water deficiency caused chlorosis and reduced the shoot chlorophyll content of banana plantlets. GO enrichment identified 52 photosynthesis-related genes that were affected by water stress. KEGG visualization revealed the pathways related to the 52 photosynthesisr-elated genes and their allocations in four GO terms. Four, 12, 15, and 21 genes were related to chlorophyll biosynthesis, the Calvin cycle, the photosynthetic electron transfer chain, and the light-harvesting complex, respectively. Differentially expressed gene (DEG) analysis using DESeq revealed that 45 genes were down-regulated, whereas seven genes were up-regulated. Four of the down-regulated genes were responsible for chlorophyll biosynthesis and appeared to cause the decrease in the banana leaf chlorophyll content. Among the annotated DEGs, MaPNDO, MaPSAL, and MaFEDA were selected and validated using quantitative real-time PCR.

• 한국응용곤충학회지
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• 제49권4호
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• pp.375-384
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• 2010

조선시대의 기록인 조선왕조설록DB와 국역 해괴제등록(國譯 解怪祭謄錄)을 통해 역사적인 해충인 황(蝗) 또는 비황(飛蝗)으로도 불리는 황충(蝗蟲)의 발생상을 분석하여 그 실체를 밝히고 황충의 방제사를 정립하고자 하였다. 황충발생기사 건수는 조선왕조실록 총 261건, 해괴제등록 65건이 있었다. 조선시대 전체를 통해서 황충의 발생기사 건수는 4차례의 피크가 있었는데, 조선초기인 태조-세종대에 가장 발생 빈도가 높았다. 조선왕조실록과 해괴제등록의 황충 기록을 비교한 결과, 해괴제등록 65건으로 조선왕조실록 37건에 비해 월등히 많았지만, 사건기록의 일치성은 낮았다. 조선시대 황충의 개념은 곡식해충뿐 아니라 소나무 등 산림해충까지 포함하는 것이었으며, 해괴제등록의 경우, 충재 중 80%가 황충으로 언급되어 있었다. 따라서 황의 개념은 Saigo (1916, 1937)의 주장이 합당한 것으로 판단되었다. 전체 황해(蝗害) 기사 261건 중 9.5%인 25건에서 황충의 분류학적 실체를 추적할 수 있었는데, 멸강나방 11건, 나방류 9건, 이화명나방 2건, 풀무치 2건, 벼멸구 1건, 벼물바구미 1건으로 Paik (1977)의 주장과 상당부분 일치하였으며, 황충=풀무치 또는 메뚜기류란 주장은 타당성이 낮았다. 조선왕조실록에서 황충 기사 중 출현보고는 173건으로 전체의 66%이고, 출현보고의 47%가 단순보고로서 황충발생의 보고 자체가 매우 중요했음을 의미했다. 황충의 방제대책은 발생보고건수의 20%(34건)로 낮았고, 주로 포획법이나 포제를 올렸으며, 단지 1건의 예방법이 세종대에 기사화 되었다. 황해로 인한 정책수행이나 계획의 변경 논의가 37건 있었는데, 주로 백성의 구휼이나 세금 감면이었고 군사훈련 중지, 축성 중지 등 백성 동원으로 인한 피해를 방지하고자 하였다. 또한 황충피해는 백성뿐 아니라 국왕에게 영향을 미쳐 성종의 경우 10건의 기사에서 황충방제의 스트레스를 언급하였으며, 정종 대에는 선위에 간접적 영향이 있음도 기록을 통해 확인할 수 있었다.