• The Magazine of the IEIE
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• v.11 no.5
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• pp.42-50
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• 1984

국내의 다음세대 컴퓨터 개발을 위한 VLSI 설계와 CAD 분야에 대한 연구 방향을 제시한다. 연구의 목표는 국제적으로 경쟁할 수 있는 VLSI 설계능력과 백만개 정도의 트랜지스터로 자성된 회로를 경제적으로 설계하기 위한 CAD 기술과 System의 확립이다. ·새로운 회로 구조와 알고리즘에 대한 연구 · CAD 도구와 언어의 개발에 관한 첨단 CAD 기술개발연구 · VLSI 설계에 필요한 CAD 도구 이용과 개발에 필요한 표준 인터페이스, 네트워킹, 컴퓨팅 하드웨어. 시스템 소프트웨어에 대한 연구등의 부분으로 크게 나눌 수 있다. 이용 가능한 CAD system을 평가하고 개선하며 첨단 CAD에 대한 소프트웨어와 하드웨어에 대해 · 컴퓨팅 하드웨어 · 프로그램 분위기 · 네트워킹 능력 ·자료 교환을 위한 표준인터페이스 등에 관해 조사분석도 병행한다. CAD에 관한 세부적인 연구 과제는 · 시스템 사양언어 · 설계 검증 ·시스템시뮬레이션· 설계 합성 · 설계 해석· 설계 방법론·디바이스와 공정 모델링 프로그램 등이다. 고속 계산용 VLSI에 관한 구조와 알고리즘은 행렬 계산을 위한 ·분산 배열 처리 회로 ·시스토릭 (Systolic) 배열 회로 ·셀률라(Cellular) 논리 회로 · 3차원 배열 회로 와 · 비규칙적 계산 알고리즘을 갖는 VLSI가 있다. VLSI설계훈련과 CAD 기술 축적을 위해 CAD enter를 설립하여 전국적인 CAD 네트워킹을 관계 연구소와 여러 대학에 가설하며, MPC 계획을 추진한다. VLSI설계 가능성이 입증되면 VLSI 설계능력을 더욱 향상 시키기 위해 0.5∼1.0mm기술의 silicon faundary를 설립한다. 연구 개발 조직은 대학, 산업체. 연구소가 삼위일체가 되어 수행될 수 있도록 연구 개발 위원회를 설치 운영하며 경쟁적이며 경제적으로 연구 업무를 집행하는 것이 바람직하다.았다.형질에 관여하는 귀전자에 미치는 기구에 대하여 검토할 여타가 있다고 보여진다. 분해능의 특징으로 미루어 앞으로는 레이저를 이용한 계측 방법이 그 주류를 이룰 것으로 사료된다. 우선 본 해설은 기체의 온도 및 농도의 광학적 측정방법중 Raman산란광 검출법에 대하여 실제로 측정하는 입장에서 간단히 소개한다.lity)이, 높은 $GA_3$함량에 기인된다'는 주장은 본실험(本實驗)으로 부인(否認)되었다. 따라서, 응용학적(應用學的) 측면에서 고려해 볼 때, 리베스식물(植物)의 육종기간 단축을 위한 모든 화아분화(花芽分化) 촉진 조치는 P.J.-식물(植物)이 20. node이상 생육하였을 때 취하는 것이 효율적인 것으로 결론 지어진다.앞당겨진 7月 셋째 週였다. 8. Culex (Culex) tritaeniorhynchus summoro년의 最大發生 peak는 1981年, 1982年 모두 8月 둘째 週였다. 9. Anopheles (Anopheles) sinensis의 最大發生 peak는 1981年에 7月 다섯째 週, 1982年은 2週 앞당겨진 7月 셋째 週였다. 10. 重要 3種의 最大 peak를 比城하면 Culex (Culex) pipiens pallens와 Anopheles (Anopheles) sinensis는 1981年과 1982年 모두 最大 peak時期가 同一하였으며, Culex (Culex) tritaeniorhynchus summoro년는 2年間 모두 8月둘째 週에 나타났다.osterior to manubrium and anterior to aortic arch) replacing the normal mediastinal fat. (2) In benign thymoma, the marging of the mass was smooth and the normal fat

• Journal of Korean Home Economics Education Association
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• v.21 no.4
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• pp.35-54
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• 2009

The purpose of this study is to develop practical problem based lesson plans on youth's self management and to analyze it's effect self-leadership skill of middle school students. The contents of the middle school Home Economics Technology textbooks and new curriculum revised in 2007 were analyzed. Based on these analyses 6 practical problem based lesson plans on youth's self management were developed. The topics in the lesson plan were as follows: 'Improving Self Identity', 'Expressing Self', 'getting the Life Goals', 'Importance of Time Management', and 'Time Management Skills'. The second grade middle school students in Goyang City as an experimental group were taught by practical problem based lesson plans. After the experiment, the changes in self-leadership skills of students were analyzed using paired t-test. The significant improvements of self leadership skills such as communication skills, learning skills and group management skills were found in the experimental groups of students. Thus, the following conclusion is made that the practical problem based lesson could be one of the useful methods for students to develop self-leadership skill.

• Journal of Korea Water Resources Association
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• v.41 no.10
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• pp.1045-1058
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• 2008

Drought is a natural phenomena caused by long time lack of precipitation causing varying damages in several regions which increases yearly. Specifically, in 1994$\sim$1995 and 2001 severe drought occurred in almost every region of Korea. Small and medium sized water supply reservoirs exposed their bottoms and also raised considerable economic losses. In spite of this fact, damages and impacts from the drought can still be minimized by well defined drought management plans with optimal management of water supply facilities. Throughout this research, integrated drought information system is proposed to used in monitoring the drought of Korea in real time. And the expert system for the management of water supply facilities has developed using Shared Vision Model (SVM) to enable the Virtual Drought Exercise (VDE). To find a better way to manage water during drought and to develop the enhanced abilities to respond to drought, virtual drought exercise is the most effective approach and process. The proposed process of virtual drought exercise using integrated drought information system can be used as an effective tool to prepare the optimal water supply plans during the drought.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4924-4931
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• 2011

This research performed to evaluate a production processes reporting by the HACCP system of green vegetable juice products, containing lactic acid bacteria, stage of processing raw materials agricultural products and production facilities of general bacteria and pathogenic micro organism. General bacteria are found from four samples of storage of agricultural products at process stage and water was detected 8.67~14.67 CFU/ml. However, all samples were detected less than 105 CFU/ml as a legal standards after the process of UV sterilization. For the outcome of experiment of E.coli, E.coli O157:H7, B.cereus, L.moonocytogenes, Salmonella spp, Staph.aureus as the food poisoning bacterial, E.coli was detected until UV pre-step process in storage process and B.cereus was detected partly till 1st washing. Since all bacterial, Yeast and Mold are detected in main materials, pre-control method is a necessary to establish for decreasing with a number of initial bacteria of main materials and it is considered to establish the effective ways of washing and sterilization such as production facilities for cross contamination prevention of bacteria and Sthaphylococcus. Based on above results, the process of UV sterilization should be managed with CCP as an important process to reduce or eliminate the general and food poisoning bacterial of green vegetable juice products, including lactic acid bacteria. Therefore, it is considered to need an exhaustive HACCP plan such as control manual of UV sterilization, solution method, verification, education and training and record management.

• Journal of Korean Society of Forest Science
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• v.79 no.4
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• pp.413-418
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• 1990

Since 1945, the periodical reforestation projects considered as the fundamental apparatus of the forest policy of the Government have been continuously carried out during last 40 years in Korea. As a result, some of the forests are ready to be harvested, especially in well-managed plantations as well as in the natural forests. This requires to pay more attention to harvesting the timber rather than planting trees. At the present, such timber harvesting operations such as cutting, felling, bucking, and skidding and yarding, particularly yarding operations in mountain areas with harsh terrains are in the most cases depend upon man power. However, the yarding operations should be more mechanized in the near future in Korea mainly because of the high cost of labour couppled with the lack of labour in forested areas. The Forest Work Training Center attached to the Forest Administration imported and tested the smallsized cable crane(K-300) with movable tower. The result of economic analysis of the yarding operation expenditures shows that the cable crane yarding costs more than the man yarding at the present time. As the labour cost will gradually increase and the efficiency of machine operation will improve, the results of the study indicates that the yarding operation by cable crane will be more cost-effective in the future.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.291-296
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• 2021

The purpose of this study is to investigate the effect of gardening programs using vertical gardens on helplessness, depression, and self-esteem in patients with chronic mental disorders. This study was applied to 21 patients with chronic mental disorder who were admitted to the rehabilitation hospital of E Hospital in Seoul from June to October 2018. The group was treated as an experimental group (N = 21) 5 times a week. For 20 weeks, each session lasted 30 minutes. Patients in the experimental group programmed 4 sessions of general occupational therapy, which combined treatments to improve cognition and training, and 1 session of a horticultural program using a vertical garden. Helplessness, depression, and self-esteem were evaluated for pre and post evaluation of the horticultural program. After completing the program, the average score of helplessness in the experimental group decreased by 0.91 points from 47.38 to 46.47, and there was a statistically significant change (p=0.043). The mean score of depression in the experimental group was 9.23 before and after 9.08, which was statistically significant (p = 0.035). The average score of self-esteem in the experimental group increased by 3.14 points from 27.99 to 31.13 at a statistically significant level (p = 0.001). This result suggests that a gardening program using vertical gardens has an effect on helplessness, depression, and self-esteem in patients with chronic mental disorders. And this means that long-term plans and effective programs for recovery from chronic mental disorders to the community are needed. With a horticultural work program using a vertical garden, the helplessness of the mentally impaired in a closed treatment space is restored, and such treatment space needs to be increased.

• Journal of Digital Convergence
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• v.17 no.2
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• pp.381-387
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• 2019

Since the development of NCS-based curriculum in field of game education is not well studied, so we carried out research on the curriculum development of game contents department of Kimpo University as the first study to link game education and NCS. In order to develop the NCS-based game education course, we analyzed the game industry environment and conducted a demand survey on the game industry officials to derive the vocational basic subjects required for game contents creation. In addition, we analyzed the types of manpower training by using on-site experts (SME). SME also designed the NCS curriculum by matching the manpower type comparing with NCS classification and capacity unit, analyzing the usefulness of each Capacity unit, and finally, by arranging each NCS and non-NCS subjects by semester. This research is meaningful as the first study linking NCS and game content creation, and it will be a reference for other education institutions planning game education course based on NCS. It also can be used as a basic material for researching game education quality management (CQI) as well as improvement methods for future game education courses.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.339-346
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• 2019

Purpose: In fact, to manage response and recovery successfully, although mitigation and preparedness should be accomplished naturally and automatically through thorough analysis and assessment, response, recovery, mitigation, and preparedness have not done in the way of virtuous cycles and continued broken disaster management repeatedly. Method: By Analysis through the critical methods, to enhance the community disaster resilience centered by social disaster management system in Korea, Result: (1) public training & education preparing for emergency or disaster (2) supplying public with disaster, or hazards information, and sharing at real time (3) networking emergency and disaster informational communication system & alarm system (4) analysis and assessment of risk(or disaster) in community (5) inter-governmental cooperative relationship and agreements (6) adopting and implementing disaster or hazards mitigation plan Conclusion: These will be able to be fully melt down into and specifically focused in the disaster policies in Korea for the better disaster management.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.397-402
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• 2019

Accurately predicting cancer prognosis to provide appropriate treatment strategies for patients is one of the critical challenges in bioinformatics. Many researches have suggested machine learning models to predict patients' outcomes based on their gene expression data. Gene expression data is high-dimensional numerical data containing about 17,000 genes, so traditional researches used feature selection or dimensionality reduction approaches to elevate the performance of prognostic prediction models. These approaches, however, have an issue of making it difficult for the predictive models to grasp any biological interaction between the selected genes because feature selection and model training stages are performed independently. In this paper, we propose a novel two-dimensional image formatting approach for gene expression data to achieve feature selection and prognostic prediction effectively. Node2Vec is exploited to integrate biological interaction network and gene expression data and a convolutional neural network learns the integrated two-dimensional gene expression image data and predicts cancer prognosis. We evaluated our proposed model through double cross-validation and confirmed superior prognostic prediction accuracy to traditional machine learning models based on raw gene expression data. As our proposed approach is able to improve prediction models without loss of information caused by feature selection steps, we expect this will contribute to development of personalized medicine.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.701-715
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• 2021

The drastic advance of recent deep learning technologies is heavily dependent on training datasets which are essential to train models by themselves with less human efforts. In comparison with the work to design deep learning models, preparing datasets is a long haul; at the moment, in the domain of vision intelligent, datasets are still being made by handwork requiring a lot of time and efforts, where workers need to directly make labels on each image usually with GUI-based labeling tools. In this paper, we overview the current status of vision datasets focusing on what datasets are being shared and how they are prepared with various labeling tools. Particularly, in order to relieve the repetitive and tiring labeling work, we present an interactive smart image annotating system with which the annotation work can be transformed from the direct human-only manual labeling to a correction-after-checking by means of a support of automatic labeling. In an experiment, we show that automatic labeling can greatly improve the productivity of datasets especially reducing time and efforts to specify regions of objects found in images. Finally, we discuss critical issues that we faced in the experiment to our annotation system and describe future work to raise the productivity of image datasets creation for accelerating AI technology.