• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.144-146
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• 2011

VTS 항해의 특징은 동적복잡계의 특성을 보인다는 점이다. 자율적인 행위자들인 여러 선박이 서로 영향을 끼치며 상호작용하기 때문에 불확실성이 지배하게 된다. 이러한 불확실성으로 인한 위험을 극복하기 위한 방안으로 본 연구에서는 협력항해(co-navigation)이라는 개념을 중심으로 논의를 전개하였다. 본질적으로 협력항해는 수많은 상황판단과 의사결정들의 집합체이기 때문에 우선 개별 선박들의 상황판단이 어떻게 이루어지는가를 연구하는 것으로부터 출발하여야 한다. 따라서 본고에서는 항해에서 있어서의 상황자각이 어떻게 기능하는지 알아보고, 개인적인 상황판단에서 VTS 전체 차원의 최종 의사결정이 이루어지는 전 과정을 6단계로 세분하여 논의를 전개하였다. 이렇게 세분한 각 단계에서 양질의 인지과업이 이루어지도록 돕고, 이때 저지르게 되는 실수를 수정할 수 있도록 여유시간을 확보할 수 있도록 함으로써 궁극적으로 항해위험을 줄일 수 있다는 것을 이번 연구에서 밝히고자 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.191-191
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• 2016

Hai River Basin is one of China's major agricultural areas, with a huge rural population. Water conservancy is of great importance in this region. There are three integral elements in managing rural water resources: the consideration of current situation, the adoption of effective management measures, and the projection of future needs. In this study, we provide an in-depth investigation of current water resources situation of Hai River Basin. Five issues are analyzed: (1) the construction of conservancy projects; (2) the irrigation of farmland; (3)the safety of drinking water; (4)the protection of water environment; and (5)the model of management practice. Existing problems are diagnosed and possible solutions are discussed. Finally, a summary is made for managing water resources and meeting future needs.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.89-94
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• 2004

Up to now a lot of the study on ship collision avoidance systems has proceeded actively. However the frequency of ship collision accidents didn't decreased. If there is collision risk in close quarters situation none the less manouvering ship for collision avoidance according to the system, only use of TCPA and DCPA as input factor for collision risk decision is not useful to avoiding collision action. For the recent 5 years by the analysis of first observation distance about approaching ship in domestic collision accidents, nearly $45\%$ of accidents is close first observation less than 2 miles. Therefor it is essential part for safety navigations to study for collision avoidance action in close encounter. In this paper, as foundation study of supporting collision avoidance manoeuvring for navigators, we proposed ship collision avoidance support model in close quarters situation through analysis of collision accidents for effective getting rid of the causes.

• Journal of Navigation and Port Research
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• v.28 no.10 s.96
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• pp.827-832
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• 2004

Up to now a lot of the study on ship collision avoidance systems have proceeded actively. However the rate of ship collision accidents hasn't decreased yet. If there is collision risk in close quarters situation in spite of maneuvering ship for collision avoidance according to the system, only use of TCP A and DCP A as input factor for collision risk decision is not useful to avoiding collision action. For the recent 5 years by the analysis of first observation distance about approaching ship in domestic collision accidents, nearly $45\%$ of accidents is close first observation less than 2 miles. Therefore it is essential part for safety navigations to study for collision avoidance action in close encounter. In this paper, as a fundamental study of supporting collision avoidance maneuvering for navigators, we proposed ship collision avoidance support model in close quarters situation through analysis qf collision accidents to effectively get rid of the causes.

• The Journal of the Acoustical Society of Korea
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• v.18 no.2
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• pp.11-17
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• 1999

This paper proposes an observation probability smoothing technique for the robustness of a discrete hidden Markov(DHMM) model based speech recognizer. Also, an appropriate noise robust processing in car environment is suggested from experimental results. The noisy speech is often mislabeled during the vector quantization process. To reduce the effects of such mislabelings, the proposed technique increases the observation probability of similar codewords. For the noise robust processing in car environment, the liftering on the distance measure of feature vectors, the high pass filtering, and the spectral subtraction methods are examined. Recognition experiments on the 14-isolated words consists of the Korean digits and command words were performed. The database was recorded in a stopping car and a running car environments. The recognition rates of the baseline recognizer were 97.4% in a stopping situation and 59.1% in a running situation. Using the proposed observation probability smoothing technique, the liftering, the high pass filtering, and the spectral subtraction the recognition rates were enhanced to 98.3% in a stopping situation and to 88.6% in a running situation.

• Journal of the Korean Society of Costume
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• v.43
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• pp.187-202
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• 1999

The objectives of this study were to analyze the effect of dress(Korean traditional dress and suit) of elderly Women and situation on impression formation. The experimental design was $10\times{2}\times{2(dress}\times{perceiver's age}\times{situation)}$ factorial design by 3 independent variables. The stimuli of color photographs of female in her 60's model and the semantic differential scale were used. Six variables of impression formation were used: preference: elegance: potency: activity: feminine: and modernity. Samples were 400 women 200 were in their twenties and 200 in their forties and fifties. The data were analyzed by $\alpha$-reliability t-test ANOVA and duncan's multiple range test. The Korean traditional dress with the combination of Korean traditional color(light blue upper dress with dark red purple collar and string.dark blue skit) had the most positive effect on impression of elegance. Pink traditional dress and light blue traditional dress had a negative effect on impression of potency activity and modernity. Red purple suit had a positive effect on potency and modernity. The interaction between dress perceiver's age and stituation was significant for the impression of activity. Women in their 40's and 50's perceived the activity of red purple suit positively in the situation of alumnae meeting more than in the wedding ceremony. The perceived age of the stimulus person was different according to dresses. Traditional dresses was perceived older than suits were. Women in their 40's and 50's evaluated preferences of the dresses positively more than 20's did. This means that 40's and 50's feel similarity with the stimulus person more than 20's as the age of model was in their 60's The result supports the theory that similarity is basic factor in interpersonal attraction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1444-1452
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• 2009

Probabilistic distribution functions based data generation method is very effective. Probabilistic distribution functions are defined under the assumption that daily routine contexts are mainly depended on a time-based schedule. However, daily life contexts are frequently determined by previous contexts because contexts have consistency and/or sequential flows. In order to refect previous contexts effect, a situation propagation network is proposed in this paper. As proposed situation propagation network make parameters of related probabilistic distribution functions update, generated contexts can be more realistic and natural. Through the simulation study, proposed context-data generation model generated general outworker's data about 11 daily contexts at home. Generated data are evaluated with respect to reduction of ambiguity and confliction using newly defined indexes of ambiguity and confliction of sequential contexts. In conclusion, in case of combining situation propagation network with probabilistic distribution functions, ambiguity and confliction of data can be reduced 6.45% and 4.60% respectively.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.58-70
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• 2022

The emergency preparedness exercise currently conducted by the government has been conducted as a message-based exercise for more than 50 years. Therefore, in this study, a simulation-based maintenance practice model was developed focusing on infectious disease situations, and the possibility of a training system applying scientific techniques was presented. As a result, First, a simulatioon logic assuming an infectious disease outbreak situation was developed. The situation of an infectious disease outbreak was made to occur when measures are not taken within 24 hours for the death due to disease, and when appropriate measures are not taken for contaminated food (24 hours), drinking water (12 hours), and drinking water shortage (24 hours). Second, in order to implement the simulation logic, simulation engine SW was developed for emergency medical team, epidemiological investigation team, dead burial team, quarantine and disinfection team, etc., and situation map SW was developed so that these contents could be expressed in the situation map. As suggested in this paper, if scientific techniques are applied to the simulation-based government practice model to expand the scope, training will be possible by creating practical situations that can occur in the real world, and the Chungmu plan and various emergency preparedness plans will be verified.

• International Journal of Contents
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• v.16 no.3
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• pp.1-17
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• 2020

Human motion recognition is essential for user-centric services such as surveillance-based security, elderly condition monitoring, exercise tracking, daily calories expend analysis, etc. It is typically based on the movement data analysis such as the acceleration and angular velocity of a target user. The existing motion recognition studies are only intended to measure the basic information (e.g., user's stride, number of steps, speed) or to recognize single motion (e.g., sitting, running, walking). Thus, a new mechanism is required to identify the transition of single motions for assessing a user's consecutive motion more accurately as well as recognizing the user's body and surrounding situations arising from the motion. Thus, in this paper, we collect the human movement data through Android smartphones in real time for five targeting single motions and propose a mechanism to recognize a consecutive motion including transitions among various motions and an occurred situation, with the state transition model to check if a vulnerable (life-threatening) condition, especially for the elderly, has occurred or not. Through implementation and experiments, we demonstrate that the proposed mechanism recognizes a consecutive motion and a user's situation accurately and quickly. As a result of the recognition experiment about mix sequence likened to daily motion, the proposed adoptive weighting method showed 4% (Holding time=15 sec), 88% (30 sec), 6.5% (60 sec) improvements compared to static method.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.2
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• pp.226-233
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• 2010

The study of information fusion technology, which merges various types of data to recognize a situation more exactly, has begun in the area of national defense. Recently, the concept of information fusion is getting applied to other fields, and we are interested in maritime safety. In navigation, officers receive data about inside and outside of ship from several devices in bridge, and use it to recognize and predict the safety situation. However, too much and fast updated data might even fatigue mates, and there is the problem of inconsistency among data from several types of devices. This paper introduce how can use information fusion technology for the situation awareness and prediction of navigation safety, and show the realization possibility of Intelligent Navigation Safety Information System through an information fusion example in a specific situation scenario.