• 제목/요약/키워드: model human processor

검색결과 25건 처리시간 0.024초

모델휴먼프로세서를 활용한 인지과정 시뮬레이터 구축에 관한 연구 (A Study on Development of a Cognitive Process Simulator Based on Model Human Processor)

  • 이동하;나윤균
    • 한국안전학회지
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    • 제13권4호
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    • pp.230-239
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    • 1998
  • Though limited, Model Human Processor (MHP) has been used to explain the complex users' behaviors during human-computer interactions in a simplified manner. MHP consists of perceptual, cognitive and motor systems, each with processors and memories interacting with each other in serial or parallel mode. The important parameters of memory include the storage capacity, the decay time, and the code type of a memorized item. The important parameter of a processor is the cycle time. Using these features of the model, this study developed a computerized cognitive process simulator to predict the cognitive process time of a class match task process. An experimental validity test result showed that the mean prediction time for cognitive process of the class match task simulated 50 times by the simulator was consistent with the mean cognitive process time of the same task performed by 37 subjects. Animation of the data flow during the class match task simulation will help understand the invisible human cognitive process.

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MPEG-II AAC의 MDCT/IMDCT를 위한 벡터 프로세서 설계 (The Design of Vector Processor for MDCT/IMDCT of MPEG-II AAC)

  • 이강현
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 하계종합학술대회 논문집
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    • pp.329-332
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    • 1999
  • Currently, the most important technology is compression methods in the multimedia society. In audio compression, the method using human auditory nervous property is used. This method using psychoacoustical model is applied to perceptual audio coding, because human's audibility is limited. MPEG-II AAC(Advanced Audio Coding) is the most advanced coding scheme that is of benefit to high quality audio coding. The compression ratio is 1.4 times compared with MPEG-I layer-III. In this paper, the vector processor for MDCT/IMDCT(Modified Discrete Cosine Transform /Inverse Modified Discrete Cosine Transform) of MPEG-II AAC is designed.

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Energy-Efficient DNN Processor on Embedded Systems for Spontaneous Human-Robot Interaction

  • Kim, Changhyeon;Yoo, Hoi-Jun
    • Journal of Semiconductor Engineering
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    • 제2권2호
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    • pp.130-135
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    • 2021
  • Recently, deep neural networks (DNNs) are actively used for action control so that an autonomous system, such as the robot, can perform human-like behaviors and operations. Unlike recognition tasks, the real-time operation is essential in action control, and it is too slow to use remote learning on a server communicating through a network. New learning techniques, such as reinforcement learning (RL), are needed to determine and select the correct robot behavior locally. In this paper, we propose an energy-efficient DNN processor with a LUT-based processing engine and near-zero skipper. A CNN-based facial emotion recognition and an RNN-based emotional dialogue generation model is integrated for natural HRI system and tested with the proposed processor. It supports 1b to 16b variable weight bit precision with and 57.6% and 28.5% lower energy consumption than conventional MAC arithmetic units for 1b and 16b weight precision. Also, the near-zero skipper reduces 36% of MAC operation and consumes 28% lower energy consumption for facial emotion recognition tasks. Implemented in 65nm CMOS process, the proposed processor occupies 1784×1784 um2 areas and dissipates 0.28 mW and 34.4 mW at 1fps and 30fps facial emotion recognition tasks.

교통 시뮬레이션 모텔의 인지공학적 평가에 관한 연구 (Cognitive Model-based Evaluation of Traffic Simulation Model)

  • 강명호;차우창
    • 한국시뮬레이션학회:학술대회논문집
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    • 한국시뮬레이션학회 2002년도 춘계학술대회논문집
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    • pp.163-168
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment was designed in within-subject design with two factors; vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods; the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

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Natural-Language-Based Robot Action Control Using a Hierarchical Behavior Model

  • Ahn, Hyunsik;Ko, Hyun-Bum
    • IEIE Transactions on Smart Processing and Computing
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    • 제1권3호
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    • pp.192-200
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    • 2012
  • In order for humans and robots to interact in daily life, robots need to understand human speech and link it to their actions. This paper proposes a hierarchical behavior model for robot action control using natural language commands. The model, which consists of episodes, primitive actions and atomic functions, uses a sentential cognitive system that includes multiple modules for perception, action, reasoning and memory. Human speech commands are translated to sentences with a natural language processor that are syntactically parsed. A semantic parsing procedure was applied to human speech by analyzing the verbs and phrases of the sentences and linking them to the cognitive information. The cognitive system performed according to the hierarchical behavior model, which consists of episodes, primitive actions and atomic functions, which are implemented in the system. In the experiments, a possible episode, "Water the pot," was tested and its feasibility was evaluated.

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동적 교통 시스템의 인지공학적 평가에 관한 연구 (Cognitive Model-based Evaluation in Dynamic Traffic System)

  • 강명호;차우창
    • 대한인간공학회지
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    • 제21권3호
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    • pp.25-34
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment the cognition time of the road sign in dynamic environment. This experiment was designed in with-subject design with two factors: vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods: the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

DEVELOPMENT OF FINITE ELEMENT HUMAN NECK MODEL FOR VEHICLE SAFETY SIMULATION

  • Lee, I.H.;Choi, H.Y.;Lee, J.H.;Han, D.C.
    • International Journal of Automotive Technology
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    • 제5권1호
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    • pp.33-46
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    • 2004
  • A finite element model development of a 50th percentile male cervical spine is presented in this paper. The model consists of rigid, geometrically accurate vertebrae held together with deformable intervertibral disks, facet joints, and ligaments modeled as a series of nonlinear springs. These deformable structures were rigorously tuned, through failure, to mimic existing experimental data; first as functional unit characterizations at three cervical levels and then as a fully assembled c-spine using the experimental data from Duke University and other data in the NHTSA database. After obtaining satisfactory validation of the performance of the assembled ligamentous cervical spine against available experimental data, 22 cervical muscle pairs, representing the majority of the neck's musculature, were added to the model. Hill's muscle model was utilized to generate muscle forces within the assembled cervical model. The muscle activation level was assumed to be the same for all modeled muscles and the degree of activation was set to correctly predict available human volunteer experimental data from NBDL. The validated model is intended for use as a post processor of dummy measurement within the simulated injury monitor (SIMon) concept being developed by NHTSA where measured kinematics and kinetic data obtained from a dummy during a crash test will serve as the boundary conditions to "drive" the finite element model of the neck. The post-processor will then interrogate the model to determine whether any ligament have exceeded its known failure limit. The model will allow a direct assessment of potential injury, its degree and location thus eliminating the need for global correlates such as Nij.

저 전송률 환경에서 선형예측 전처리기를 사용한 HE-AAC의 성능 향상 (Quality Improvement of Low Bitrate HE-AAC using Linear Prediction Pre-processor)

  • 이재성;이건우;박영철;윤대희
    • 한국통신학회논문지
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    • 제34권8C호
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    • pp.822-829
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    • 2009
  • 본 논문은 선형예측 전처리기을 이용하여 저 전송률 환경에 적합한 HE-AAC의 구조를 제안한다. 저 전송률 환경에서는 HE-AAC의 적절하지 못한 비트 할당 알고리즘 때문에 많은 스펙트럴 홀(스펙트럼 홀)들이 발생을 하고 있으며, 그로 인해서 심각한 음질의 열화가 발생하고 있다. 이를 해결하기 위해서 선형예측 전처리기을 사용하여 저 전송률에서 비트가 적절하게 할당되도록 하였다. HE-AAC로 들어오는 입력신호는 선형예측 전처리기에 의해서 LP 계수와 레지듀얼 신호로 나눠지게 되며, AAC 부분은 분리된 레지듀얼 신호를 부호화하게 된다. 제안된 방법의 성능 평가를 위해서 지각적 잡음(Perceptual noise)의 측정을 통한 객관적인 실험과 MUSHRA 테스트를 통한 주관적인 실험을 하였고, 그 결과 저 전송률 환경에서 제안된 방법을 사용함으로써 성능을 향상시킬 수 있음을 확인하였다.

텍스타일 디자이너의 인지 모형에 대한 탐색적 접근 -모티브 개발 단계를 중심으로- (An Exploratory Approach to Textile Designer's Cognition Model -focused on the Stage of Motif Development-)

  • 송승근;이주현
    • 감성과학
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    • 제6권1호
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    • pp.55-62
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    • 2003
  • 본 연구는 비디오/오디오 프로토콜 분석 방식을 이용해서 텍스타일 디자인 프로세스 중 모티브 개발 단계에서의 디자이너의 인지 모형을 분석하기 위한 탐색적 연구이다. 텍스타일 디자인 프로세스에 대한 프로토콜 분석을 위해 선행 연구를 고찰하여 디자인 행동 범주의 틀을 하향식(top-down)방식으로 설정하고 실제 행동 프로토콜(action protocol) 분석을 통해 상향식(bottom-up)방식으로 세부 디자인 행동을 분석하였다. 본 연구에서는 모델 휴먼 프로세서(Model Human Processor)이론에 기초하여 텍스타일 디자인 행동을 모터 행동(motor action), 지각 행동(perceptual action), 인지 행동(cognitive action)의 세 가지 범주로 나누었으며 이를 토대로 하여 텍스타일 디자인 프로세스에 적합한 코딩 스킴(coding scheme)을 개발하였다. 본 연구에서는 이 새로운 코딩 스킴을 토대로 하여 모티브 개발 단계에서의 텍스타일 디자이너의 인지 모형을 제시하였다.

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피부색과 눈요소 정보를 이용한 얼굴영역 검출 (Detection of human faces using skin color and eye feature)

  • 서정원;박정희;송문섭;윤후병;황호전;김법균;두길수;안동언;정성종
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1999년도 추계종합학술대회 논문집
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    • pp.531-535
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    • 1999
  • Automatic human face detection in a complex background is one of the difficult problems. In this paper, we propose an effective and robust automatic face detection approach that can locate the face region in natural scene images when the system is used as a pre-processor of a face recognition system . We use two natural and powerful visual cues, the skin color and the eyes. In the first step of the proposed system, the method based on the human skin color space by selecting flesh tone regions using normalized r-g space in color images. In the next step, we extract eye features by calculating moments and using geometrical face model. Experimental results demonstrate that the approach can efficiently detect human faces and satisfactory deal with the problems caused by bad lighting condition, skew face orientation.

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