• 제목/요약/키워드: Cognitive Engineering

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COGNITIVE RADIO SPECTRUM ACCESS WITH CHANNEL PARTITIONING FOR SECONDARY HANDOVER CALLS

  • Lee, Yutae
    • Journal of applied mathematics & informatics
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    • 제33권1_2호
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    • pp.211-217
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    • 2015
  • A dynamic spectrum access scheme with channel partitioning for secondary handover calls in cognitive radio networks is proposed to reduce forced termination probability due to spectrum handover failure. A continuous-time Markov chain method for evaluating its performance such as blocking probability, forced termination probability, and throughput is presented. Numerical and simulation results are provided to demonstrate the effectiveness of the proposed scheme with channel partitioning.

Cognitive Radio Based Resource Allocation in Femto-Cells

  • Oh, Dong-Chan;Lee, Yong-Hwan
    • Journal of Communications and Networks
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    • 제14권3호
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    • pp.252-256
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    • 2012
  • We consider resource allocation in femto-cell networks to maximize the throughput while minimizing interference to macro-users nearby. This can be achieved by allocating spectrum resource in a cognitive radio way. The proposed resource allocation is performed in two steps; spectrum sensing and resource scheduling. The femto base station detects idle frequency assignments (FAs) free from the occupation by macro-users and then allocates sub-channels in an idle FA to femto-users, effectively managing the interference problem. Finally, the effectiveness of the proposed scheme is verified by computer simulations.

PERFORMANCE ANALYSIS OF COGNITIVE NETWORK WITH PRIMARY AND SECONDARY CHANNELS

  • Lee, Yutae
    • East Asian mathematical journal
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    • 제29권1호
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    • pp.101-107
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    • 2013
  • We consider a cognitive network with a primary and a secondary channel. Primary users have higher priority on the usage of the primary channel, and secondary users are allowed to opportunistically access the primary channel at times when the channel is not occupied by primary users. The secondary channel is dedicated only to secondary users. An analytical model is presented to obtain the performance of an opportunistic spectrum access using both the primary and secondary channels, and is validated by simulations.

Brain Computer Interfacing: A Multi-Modal Perspective

  • Fazli, Siamac;Lee, Seong-Whan
    • Journal of Computing Science and Engineering
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    • 제7권2호
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    • pp.132-138
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    • 2013
  • Multi-modal techniques have received increasing interest in the neuroscientific and brain computer interface (BCI) communities in recent times. Two aspects of multi-modal imaging for BCI will be reviewed. First, the use of recordings of multiple subjects to help find subject-independent BCI classifiers is considered. Then, multi-modal neuroimaging methods involving combined electroencephalogram and near-infrared spectroscopy measurements are discussed, which can help achieve enhanced and robust BCI performance.

Likelihood Estimation Using Continuous-Time Markov Channels for Cognitive Radio Networks in Wireless LAN

  • Oo, Thant Zin;Thar, Kyi;Hong, Choong-Seon
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
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    • pp.262-264
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    • 2012
  • Dynamic spectrum access and cognitive radio is a viable solution to solve congestion in ISM band. The dynamic environment of multi-channel wireless LAN is modeled by using continuous time Markov process. Bayes theorem is applied to infer channel access decisions dynamically to ensure current data transmission is switched to only likely candidate channels.

다중 안테나 기반 인지 무선 시스템에서 효율적인 스펙트럼 센싱 기법 (An Efficient Spectrum Sensing Scheme for Cognitive Radio Systems with Multiple Antennas)

  • 노고산;이제민;홍대식
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.185-186
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    • 2008
  • We propose an efficient spectrum sensing scheme for cognitive radio systems with multiple antennas. By utilizing the property of multiple receive antennas, spectrum sensing without idle period is possible. Simulation results show that the detection probability is enhanced with the number of receive antennas, which explains the effect of the spatial diversity.

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Distributed and Centralized Iterative Detection of Self-Encoded Spread Spectrum in Multi-Channel Communication

  • Chi, Liang;Jang, Won-Mee;Nguyen, Lim
    • Journal of Communications and Networks
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    • 제14권3호
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    • pp.280-285
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    • 2012
  • We propose self-encoded spread spectrum with two different iterative detection methods in multi-channel communication. The centralized iterative detection outperforms the iterative detection distributed over multiple channels. The results show that self-encoded spread spectrum with the centralized iterative detection is an excellent candidate for cognitive radio network.

철도기관사의 사고, 우울감, 인지실패 간의 인과관계 검증 (The Verification of Causality among Accident, Depression, and Cognitive Failure of the Train Drivers)

  • 노춘호;신택현
    • 한국시뮬레이션학회논문지
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    • 제25권4호
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    • pp.109-115
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    • 2016
  • 본 연구는 철도기관사에 의해 유발되는 사고와 우울감 및 인지실패 간의 관계를 '우울감 ${\rightarrow}$ 인지실패 ${\rightarrow}$ 사고'의 인과관계로 접근하는 연구모형 1과 '사고 ${\rightarrow}$ 우울감 ${\rightarrow}$ 인지실패'의 인과관계로 접근하는 연구모형 2로 설정하고 어느 모형이 타당한지를 구조방정식 모형으로 검증하였다. 현직 철도기관사 416명의 설문응답 유효데이터를 토대로 검증한 결과 후자의 연구모형, 즉 '사고 ${\rightarrow}$ 우울감 ${\rightarrow}$ 인지실패'의 인과관계에서 사고가 우울감을 매개로 하여 사고에 영향을 미친다는 점에서 모형 2가 통계적으로 타당하다는 결론을 도출하였다. 이 같은 연구결과는 인적오류와 관련하여 사고와 우울감의 인과관계 측면에서 접근하고 제도적인 개선방안을 함께 모색할 때 궁극적으로 기관사의 실수와 인지실패를 저감시킴으로써 인지실패로 인한 사고와 인적 오류의 확률을 그만큼 저감할 수 있다는 것을 시사한다.

K-MEANS 알고리즘을 이용한 인지 재활 훈련 방법의 개선 (Improvement of Cognitive Rehabilitation Method using K-means Algorithm)

  • 조하연;이혁민;문호상;신성욱;정성택
    • 한국인터넷방송통신학회논문지
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    • 제18권6호
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    • pp.259-268
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    • 2018
  • 본 연구의 목적은 인지기능 훈련 콘텐츠들을 사용하는 동안 사용자들의 흥미와 몰입도를 높이기 위하여 인지 능력 수준에 맞춘 훈련 방법을 제시하는 것이다. 사용자의 인지 능력 수준은 K-means 알고리즘을 적용한 협업 필터링을 사용하여 사용자들의 정보와 한국형 아동 간이 정신 상태 검사 점수를 기반으로 군집화한 결과를 바탕으로 이루어졌다. 이 결과를 구현된 인지기능 훈련 통합 시스템에 적용하여 사용자의 인지 능력 수준에 알맞은 인지기능 훈련 영역 별 콘텐츠 순서와 난이도를 추천하였다. 특히 콘텐츠 난이도 조절은 사용자들이 긴장감과 편안함을 반복적으로 느낄 수 있도록 제안한 '몰입이론' 방법을 적용하여 높은 몰입감을 주고자 하였다. 결론적으로 본 논문에서 제안한 사용자 맞춤형 인지기능 훈련 방법은 기존의 치료사가 콘텐츠 순서와 난이도를 주관적으로 설정하는 것보다 더욱 효과적이고 재활 결과를 기대할 수 있을 것이다.

여성 노인의 식이요인과 인지기능 감퇴의 관련성 (Association of Dietary Factors with Cognitive Impairment in Older Women)

  • 김진희;한근식;이윤환
    • Journal of Preventive Medicine and Public Health
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    • 제37권2호
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    • pp.174-181
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    • 2004
  • Objective : To examine the association between dietary factors and cognitive impairment in older Korean women living in the community. Methods : Wave 2 data, from the Suwon Longitudinal Aging Study (SLAS), of 365 women aged 65 years or over, were used. The Korean version of the 30-point Mini-Mental State Examination (MMSE-K) was used to assess cognitive impairment (score$\geq$19). Dietary habits and frequencies of food group consumption were also examined. Results : A total of 67 women (18.4%) were found to be cognitively impaired. In bivariate analyses, nondietary factors, such as age, marital status, education, income, self-rated health, depression, emotional support, social activity, exercise, and dietary factors, such as self-rated nutritional status, frequency of beans and bean products and milk and dairy products consumption were associated with cognitive impairment. In the multivariate analysis, a higher frequency ($\geq$1 vs. <1 time/day) of beans and bean products (OR=0.48, 95% CI: 0.23-0.99) and milk and dairy products (OR=0.25, 95% CI: 0.10-0.61) consumption was inversely associated with cognitive impairment, after adjustment for non-dietary factors. Conclusion : These results suggest that dietary factors may play a significant role in cognitive impairment of older Korean women.