• 대한임베디드공학회논문지
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• 제2권2호
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• pp.123-127
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• 2007

Through USN field Test Projects launched in 2005, 9 USN application service models such as u-Ocean, u-Construction, u-Farm, u-Hospital has been deployed. We conducted technical, industrial, economical feasibility tests to verify those services. This thesis will cover briefly the current situation of USN industry domestically and internationally. It will show the future prospect of convergence service model based on USN in conjunction with research details and results from previous USN field Test Projects.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제3권2호
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• pp.143-149
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• 1999

The Assessment using the observation is one of the common ways to know what the student knows and dose not. Using the obserbational Assessment, Teachers, analyzing student's growth, provide appropriate feed-back, and so they try to record every activities. but, accumulatively recording the result of observational assessment face time·spacial limits. and it is difficult to apply in a real classroom situation. Taking these into consideration, I'd like to take a look at the idea of check-list assessment that could record data observing student and contrive a practical ways of application.

• Communications for Statistical Applications and Methods
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• 제4권2호
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• pp.353-358
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• 1997

When the disturbances in the linear repression medel are generated by a seasonal autoregressive scheme the Cochrane Orcutt transformation estimator (COTE) is a well known alternative to Generalized Least Squares estimator (GLSE). In this paper it is analyzed in which situation the Ordinary Least Squares estimator (OLSE) is always better than COTE for positive autocorrelation in terms of efficiency which is here defined as the ratio of the total variances.

• 품질경영학회지
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• 제14권1호
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• pp.61-66
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• 1986

Many papers have suggested various models how to decide an optimal time for replacing equipment. In this study, Dynamic Programming is applied to establish a model of replacing equipment and a new algorithm is developed for computerization to meet the increased number of variables. It is possible to predict the real situation with higher accuracy by employing the proposed model including more variables such as planning horizon, original cost, salvage value, decreasing rate, operating and maintenance costs, increasing rate, and so on.

• 한국컴퓨터정보학회논문지
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• 제26권4호
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• pp.239-245
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• 2021

4차 산업혁명과 코로나19 사태로 인하여, 키오스크와 같은 디지털기기 사용가능 여부는 디지털 격차를 가진 노인에게 생존과 직결되는 문제이다. 본 논문은 고령자 대상 기존 정보화교육의 문제점을 분석하여 고령자의 신체·인지 노화와 라이프 사이클에 맞춤화된 정보화교육 전략을 제안한다. 본 연구에서 제안하는 고령자 맞춤형 정보화교육은 시간과 장소에 구애받지 않고 반복 학습을 지원하는 교육용 애플리케이션 기반 IT교육 방법으로서, 키오스크 기능을 기능성게임 형식의 교육용 애플리케이션으로 개발하고 교육 후의 효과성을 실험하였다. 연구방법은 첫째 문헌분석과 FGI를 통하여 고령자 맞춤형 교육용 애플리케이션 UI 사용성 평가 프레임을 제안하고, 둘째 제안한 평가 프레임에 의거한 교육용 애플리케이션 개발, 셋째 키오스크 교육에 교육용 애플리케이션을 활용하여 교육 효과성을 실험하였다. 실험결과, 교육용 애플리케이션 사용한 후의 미션 성공률은 80.6%로 사용 전(25.5%)과 비교하여 55.1%P의 향상과 함께 미션성공 소요시간도 단축하였다. 본 연구는 비대면 상황에서 제안한 정보화교육이 기존 교육의 한계를 극복할 수 있음을 확인하였다.

• 경영과학
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• 제7권2호
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• pp.22-42
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• 1990

This paper deals with enhancement of the high school equalization assignment system to be executed by the allied entrance examination after the applicants graduated from their middle schools. In prevailing opinion, because educational demander's will has not been considered under the current system, it whose merits have been covered is required to be improved. If the application system of the entrance examination for the high schools will be returned, a situation that it will result in irregularity of the middle school education and in overheating entrance examination seems to appear explicitly. Since the averages of the allied entrance examination score of all the high schools, achieved by the equalization-application nearest assignment system which is named by writers of this paper, are equal, our system is good for maintaining the merits of the current system. More than 50% educational demander's will has been reflected by our system, so that we come to the conclusion that our system is excellent in all the systems verified up to now. Assigning students to the high school to make an average difference between three and five score, we expect that relection rate of the educational demander's will be increased more than 60%.

• 대한인간공학회지
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• 제31권4호
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• pp.551-556
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• 2012

Objective: This study presents the effect of visual feedback on one-hand gesture performance in vision-based gesture recognition system when people use gestures to control a screen device remotely. Backgroud: gesture interaction receives growing attention because it uses advanced sensor technology and it allows users natural interaction using their own body motion. In generating motion, visual feedback has been to considered critical factor affect speed and accuracy. Method: three types of visual feedback(arrow, star, and animation) were selected and 20 gestures were listed. 12 participants perform each 20 gestures while given 3 types of visual feedback in turn. Results: People made longer hand trace and take longer time to make a gesture when they were given arrow shape feedback than star-shape feedback. The animation type feedback was most preferred. Conclusion: The type of visual feedback showed statistically significant effect on the length of hand trace, elapsed time, and speed of motion in performing a gesture. Application: This study could be applied to any device that needs visual feedback for device control. A big feedback generate shorter length of motion trace, less time, faster than smaller one when people performs gestures to control a device. So the big size of visual feedback would be recommended for a situation requiring fast actions. On the other hand, the smaller visual feedback would be recommended for a situation requiring elaborated actions.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.90-98
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• 2022

On February 12, 2019, the U.S. Department of Defense newly established and announced the "Defense AI Strategy" to accelerate the use of artificial intelligence (AI) technology for military purposes. As China and Russia invested heavily in AI for military purposes, the U.S. was concerned that it could eventually lose its advantage in AI technology to China and Russia. In response, China and Russia, which are hostile countries, and especially China, are speeding up the development of new military theories related to the overall construction and operation of the Chinese military based on AI. With the rapid development of AI technology, major advanced countries such as the U.S. and China are actively researching the application of AI technology, but most existing studies do not address the special topic of defense. Fortunately, the "Future Defense 2030 Technology Strategy" classified AI technology fields from a defense perspective and analyzed advanced overseas cases to present a roadmap in detail, but it has limitations in comparing private technology-oriented benchmarking and AI technology's maturity level. Therefore, this study tried to overcome the limitations of the "Future Defense 2030 Technology Strategy" by comparing and analyzing Chinese and U.S. military research cases and evaluating the maturity level of military use of AI technology, not AI technology itself.

• 대한산업공학회지
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• 제23권1호
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• pp.129-146
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• 1997

In traditional approaches to scheduling problems, a single dispatching rule was used by all machines in a system. However, since the situation of each machine generally differs from those of other machines, it is reasonable to apply a different dispatching rule to each machine responding to its given situation. In this regard, we introduce the concept of spatial adaptation and examine its effectiveness by simulation. In the spatial adaptation, each machine in a system selects an appropriate dispatching rule in order to improve productivity while it strives to be in harmony with other machines. This study proposes an adaptive procedure which produces a reliable dispatching rule for each machine beginning with the bottleneck machine. The dispatching rule is composed of several criteria of which priorities are adaptively weighted. The weights are learned for each machine through systematic simulations. The simulations are conducted according to a Taguchi experimental design in order to find appropriate sets of criteria weights in an efficient and robust way in the context of environmental variations. The proposed method was evaluated in an application to a semiconductor wafer fabrication system. The method achieved reliable performance compared to traditional dispatching rules, and the performance quickly approached the peak after learning for only a few bottleneck machines.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.45-52
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• 2021

Stock price fluctuations affect investor returns, particularly, in this pandemic situation that has triggered stock market shocks. As a result of this situation, investors prefer to move their money into a safer portfolio. Therefore, in this study, we approach an efficient portfolio model using smart beta and combining others to obtain a fast method to predict investment stock returns. Smart beta is a method to selects stocks that will enter a portfolio quickly and concisely by considering the level of return and risk that has been set according to the ability of investors. A smart beta portfolio is efficient because it tracks with an underlying index and is optimized using the same techniques that active portfolio managers utilize. Using the logistic regression method and the data of 100 low volatility stocks listed on the Indonesia stock exchange from 2009-2019, an efficient portfolio model was made. It can be concluded that an efficient portfolio is formed by a group of stocks that are aggressive and actively traded to produce optimal returns at a certain level of risk in the long-term period. And also, the portfolio selection model generated using the smart beta, beta, alpha, and stock variants is a simple and fast model in predicting the rate of return with an adjusted risk level so that investors can anticipate risks and minimize errors in stock selection.