• ETRI Journal
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• 제37권3호
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• pp.626-636
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• 2015

This paper proposes an adaptive multimodal in-vehicle information system for safe driving. The proposed system filters input information based on both the priority assigned to the information and the given driving situation, to effectively manage input information and intelligently provide information to the driver. It then interacts with the driver using an adaptive multimodal interface by considering both the driving workload and the driver's cognitive reaction to the information it provides. It is shown experimentally that the proposed system can promote driver safety and enhance a driver's understanding of the information it provides by filtering the input information. In addition, the system can reduce a driver's workload by selecting an appropriate modality and corresponding level with which to communicate. An analysis of subjective questionnaires regarding the proposed system reveals that more than 85% of the respondents are satisfied with it. The proposed system is expected to provide prioritized information through an easily understood modality.

• 산업경영시스템학회지
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• 제16권27호
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• pp.105-111
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• 1993

Human works shift its roll from physical condition to the system supervisory control task In this paper safety-presentation configuration is discussed instead of well-known fault-warning configuration. Of paticular interest was the personal factor which include the cognitive process. Through a performance between each person information processing(d') and decision process($\beta$) was pointed out to explain the sensitivity of personal cognitive process. Impact of uncertainty effect the supervisor having doubt situations. These facts are released by the use of flat fuzzy number of $\beta$ and its learning rate R.

• 한국IT서비스학회지
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• 제14권1호
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• pp.99-113
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• 2015

Adaptive bitrate (ABR) streaming technology has become an important and prevalent feature in many multimedia delivery systems, with content providers such as Netflix and Amazon using ABR streaming to increase bandwidth efficiency and provide the maximum user experience when channel conditions are not ideal. Where such systems could see improvement is in the delivery of live video with a closed loop cognitive control of video encoding. In this paper, we present streaming camera system which provides spatially and temporally adaptive video streams, learning the user's preferences in order to make intelligent scaling decisions. The system employs a hardware based H.264/AVC encoder for video compression. The encoding parameters can be configured by the user or by the cognitive system on behalf of the user when the bandwidth changes. A cognitive video client developed in this study learns the user's preferences (i.e. video size over frame rate) over time and intelligently adapts encoding parameters when the channel conditions change. It has been demonstrated that the cognitive decision system developed has the ability to control video bandwidth by altering the spatial and temporal resolution, as well as the ability to make scaling decisions

• 한국정보시스템학회지:정보시스템연구
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• 제27권3호
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• pp.25-42
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• 2018

Purpose The purpose of this study focused on adopting production systems in cognitive psychology to improve the extraction process of persuasive design characteristics for healthcare-related mobile applications. Design/Methodology/Approach A research approach with four stages was developed. We developed and updated the evaluation guideline for persuasive design characteristics (PDC). We tried to summarize and analyze each of 28 PDC and prepared related production rules. Verification process for both guideline approach and production system approach were performed. Top one hundred apps from both medical category and health and Fitness category were selected and evaluated by two approaches. By comparing the results of the two approaches, we tried to explain the improvement and reliability of introducing the production system in the PDC extraction process. Findings Based on the updated guideline for healthcare-related mobile applications, a production system in cognitive psychology was developed. By comparing the PDC extraction results by two approaches, production system showed a better improvement for evaluation precision and efficiency for decision-making process. The findings of this study can be used for researchers and app developers to apply production system to analyze, evaluate, and develop better healthcare-related apps with persuasion.

• 한국위성정보통신학회논문지
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• 제5권1호
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• pp.27-31
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• 2010

급증하는 주파수 수요를 해결하기 위해 최근 FCC(Federal Communications Commission)에서는 스펙트럼 사용 효율을 높이기 위해 주파수를 공유하는 CR(Cognitive radio)를 적용하기로 하였다. 그리고 이러한 CR 시스템을 LTE 시스템에 적용하고자 CR 기술 중 스펙트럼 센싱 이론을 LTE 환경에 적용을 시켜 실험을 하여 성능분석을 하였다. 본 실험에 있어서 LTE 하향링크 OFDMA (Orthogonal frequency division multiple access) 신호를 센싱했고, 채널은 가우시안 채널로 가정하여 실험을 하였다. 또한 실험에 필요로 한 임계값(threshold)은 5%, 10%로 달리 적용하여 성능분석을 하였다. 그리고 추후 LTE 시스템에 CR 시스템 적용을 위한 향후 연구 방향에 대하여 논의를 하였다.

• 인지과학
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• 제3권2호
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• pp.349-374
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• 1992

• 인지과학
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• 제1권2호
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• pp.293-316
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• 1989

• 인지과학
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• 제7권4호
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• pp.75-93
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• 1996

• 한국ITS학회:학술대회논문집
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• 한국ITS학회 2007년도 제6회 추계학술대회 및 정기총회
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• pp.11-15
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• 2007

• 한국ITS학회 논문지
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• 제7권6호
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• pp.110-120
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• 2008

인지무선(CR: Cognitive Radio) 기술은 최근의 스펙트럼 부족 문제 때문에 사용하지 않는 스펙트럼 대역을 효과적으로 사용하기 위해서 제안되었다. 인지무선 기술에서 스펙트럼 센싱 기술은 주요 이슈 중의 하나이고, 비면허 사용자는 1차 사용자에게 할당된 빈 스펙트럼 자원을 확인하고 활용할 수 있다. 본 논문에서는 협력 스펙트럼 센싱 기술을 지능형 교통시스템(ITS: Intelligent Transport system)에 적용하여 신호 검출의 성능을 분석한다. 그리고 협력 신호 검출을 위해서 OR-rule과 AND-rule을 사용하여 신호 검출의 성능과 신뢰성을 향상시킨다.