• Title/Summary/Keyword: 상황 분류

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Analysis of Car Following Model of Adaptive Cruise Controlled Vehicle Considering the Road Conditions According to Weather Circumstance (기상상황에 따른 노면상태를 고려한 첨단차량 추종거동 모형의 분석)

  • Kim, Tae-Uk;Bae, Sang-Hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.3
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    • pp.53-64
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    • 2013
  • The car-following model is one of core models in Advanced Vehicle & Highway Systems (AVHS). The car-following model has been developed in aspects such as human factor and reduction error rates. However, the consideration of safety depending on weather condition has not been completed yet. In this paper, therefore, changes of driving condition for car-following due to different road condition were dealt with, and optimal safety distance corresponding to road condition such as dry, wet and snowy were computed. The GMIT(GM Model with Instantaneous T) model was picked over for simulation of adaptive cruise control applied the suggested optimal safety distance. As the results, the 1.7 times longer safety distance was required for wet road condition than dry road condition, and the 5.6 times longer safety distance was required for snowy road condition.

A study of information processing method for the situation recognition (상황인식을 위한 정보처리의 연구)

  • Park, Sangjoon;Lee, Jongchan
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.275-276
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    • 2019
  • 본 논문에서는 위험지역에서 수집 된 정보에 대한 정보처리 시스템에 대해 고려한다. 영상센서를 통하여 입력되는 영상정보를 실시간 분석 및 분류를 하여 사전에 정의된 상황과의 비교분석을 통하여 인지할 수 있는 상황인지 시스템을 설계한다.

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Development and Application of a Digital Certificate Classification Framework: A Configuration Perspective (디지털 인증 분류 프레임워크의 개발과 적용: 상황적 관점)

  • Kim, Chang-Su;Gafurov, Dilshodjon
    • Information Systems Review
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    • v.11 no.3
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    • pp.107-123
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    • 2009
  • In this paper, we review digital certificate technologies and their applications in e-commerce. Current digital certificate technologies are evaluated and their importance is explained. The configuration of certificate flows from providers to users through software, hardware, and network technologies is described. These five domains and the configuration of digital certificate flows guide our review of the characteristics of digital certificates. We then develop a framework for the classification of digital certificates that integrate these five domains with VeriSign's types and levels of assurance. In order to demonstrate the adequacy of our digital certificate classification framework, we populated it with VeriSign's digital certificates. Within each domain, VeriSign's classes of digital certificates are classified in accordance with the VeriSign type and level of assurance. The results of our analysis suggest that the framework is a useful step in developing a taxonomy of digital certificate technologies. The strengths and weaknesses of the study are discussed, and opportunities for further research are identified and discussed.

Developing a Test Collection for Korean Text Categorization (한국어 문서분류 테스트컬렉션 개발)

  • Ra, Dong-Yul;Kim, Yunsik;Shin, Hyun-Joo;Lee, Kyu-Hee;Kim, Tae-Kyu;Kang, Hyun-Kyu;Choe, Ho-Seop;Yoon, Hwa-Mook
    • Proceedings of the Korea Contents Association Conference
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    • 2007.11a
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    • pp.435-439
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    • 2007
  • Document categorization system is important in the internet age in which huge number of documents are created and need to be dealt with. By this reason a lot of research has been done in this field. For the development of the system, a supervised learning method is widely used. This approach needs a test collection as a prerequisite. For the case of English, several test collections are available which provide a lot of help for developing systems and doing research. But no public test collections have been reported and are not available in the case of Korean. To improve the situation for Korean we are undergoing the construction of a Korean test collection. In this paper the approaches being used and current stage of the collection will be described.

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Modeling and Verification Methodology for Context-awareness Service using Colored Petri-Net (Colored Petri-Net을 이용한 상황인식 서비스의 모델링과 검증 방법)

  • Han, Seung-Wok;Youn, Hee-Yong
    • Journal of KIISE:Software and Applications
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    • v.36 no.4
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    • pp.283-290
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    • 2009
  • Context-awareness is one of the key features of ubiquitous paradigm. A methodology that is specifying the relationships between the contexts and services needs to be developed to intelligently and sensitively deal with dynamic environment. The existing models on context-aware modeling are difficult to verify the correctness of models with respect to timeliness. In this paper we propose an approach which includes timing constraint in the relations of the context model, and verify its effectiveness using colored Petri-Net. Moreover, a context-modeling toolkit including context-awareness engine and simulator is developed to support agent-based context-aware service. The effectiveness of the proposed methodology is demonstrated using an example of Usilvercare.

오차항이 이분산성을 가지는 일원분류 모형에서 일반 F-검정의 유의수준에 관한 고찰

  • 김기환;이준영
    • Proceedings of the Korean Statistical Society Conference
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    • 2000.11a
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    • pp.165-171
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    • 2000
  • 일원분류 모형에서 표준 F-검정을 하기 위해서는 오차항에 대한 등분산성을 가정한다. 그러나 실제로 이러한 가정은 지켜지기 힘들며, 이에 더불어 관찰치가 각 집단별로 일정하지 않고 불균형한 경우에는 F-검정의 유의수준이 지정된 값을 만족시키지 못하며, 따라서 검정력에 관한 분석은 의미가 없게 된다. 본 연구에서는 등분산성이 지켜지지 않고, 자료가 불균형한 경우, 현실적인 상황에서 일반적으로 사용되는 F-검정의 유의수준 유지라는 문제가 어 떤 변화를 겪게 되는지를 확인하고, 더 나아가 유의수준을 유지하기 위해서는 어떤 식의 조정이 가능한지를 살펴보았다.

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A study on the typology of PSS applied with blueprint (블루프린트를 활용한 PSS 유형 분류에 관한 연구)

  • Kim, eok
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.333-334
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    • 2015
  • 최근 시장 환경이 제품을 판매하여 이익을 추구하던 것에서 제품의 사용을 파는 쪽으로 빠르게 변하고 있으나, 이에 대한 대책없이 기본적인 PSS 유형분류도 제대로 이루어지지 않고 있는 상황이다. 이 연구에서는 소비자 행동 싸이클에 기반한 새로운 PSS 블루프린트를 제안하고 이에 따라 PSS 유형을 새롭게 분류하였다. 이 블루프린트는 고객의 행동 관점에서 제품과 서비스의 기능을 분석하고 표현하기 때문에 제품과 서비스가 융합된 디자인을 하는데 보다 효과적일 것으로 기대된다.

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Robust Music Categorization Method using Social Tags (소셜 태그를 이용한 강인한 음악 분류 기법)

  • Lee, Jaesung;Kim, Dae-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2015.01a
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    • pp.181-182
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    • 2015
  • 음악 검색에 있어 소셜 태그 정보는 사용자로 하여금 음악의 내재적 의미를 빠르게 파악할 수 있도록 한다. 음악의 소셜 태그 정보는 음악 추천 시스템을 활용하는 사용자(청취자)에 의해 점진적으로 완성되기 때문에 초기에 완전한 태그 정보를 수집하는 것은 어렵다. 본 논문에서는 음악의 일부 태그가 누락되어 있는 상황에서 음악 정보 검색을 자동으로 수행할 수 있는 클래스 분류 알고리즘을 제안하고자 한다.

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Improvement of Environmental Sounds Recognition by Post Processing (후처리를 이용한 환경음 인식 성능 개선)

  • Park, Jun-Qyu;Baek, Seong-Joon
    • The Journal of the Korea Contents Association
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    • v.10 no.7
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    • pp.31-39
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    • 2010
  • In this study, we prepared the real environmental sound data sets arising from people's movement comprising 9 different environment types. The environmental sounds are pre-processed with pre-emphasis and Hamming window, then go into the classification experiments with the extracted features using MFCC (Mel-Frequency Cepstral Coefficients). The GMM (Gaussian Mixture Model) classifier without post processing tends to yield abruptly changing classification results since it does not consider the results of the neighboring frames. Hence we proposed the post processing methods which suppress abruptly changing classification results by taking the probability or the rank of the neighboring frames into account. According to the experimental results, the method using the probability of neighboring frames improve the recognition performance by more than 10% when compared with the method without post processing.