• Title/Summary/Keyword: 행동상황

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Adaptive Software Framework based on Acquiring Context Information using Plane Image Processing (평면 영상 분석을 통한 상황 정보 획득 기반의 적응형 소프트웨어 프레임워크)

  • Kim, Ki-Mun;Jung, Woo-Sung;Lee, Byung-Jeong;Wu, Chi-Su
    • Journal of KIISE:Software and Applications
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    • v.34 no.8
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    • pp.763-771
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    • 2007
  • As software is widely used on various environments today, there is an increasing need for adaptive software. Adaptive software is robust and flexible software that modifies its own behavior in response to the changes in its environment. Due to time constraints, high complexity and so on, it is hard to acquire context information from environment. So, when implementing software, it is common to think easily acquired data to be the environments. This research proposes an adaptive software framework that assumes plane images to be environments. Plane images are easy to acquire and have enough complexity. From this, our framework is able to acquire context information, reasons with action rule, and acts on the result of reasoning. Stand on this framework, implements software that plays a simple game automatically.

Toward a Possibility of the Unified Model of Cognition (통합적 인지 모형의 가능성)

  • Rhee Young-Eui
    • Journal of Science and Technology Studies
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    • v.1 no.2 s.2
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    • pp.399-422
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    • 2001
  • Models for human cognition currently discussed in cognitive science cannot be appropriate ones. The symbolic model of the traditional artificial intelligence works for reasoning and problem-solving tasks, but doesn't fit for pattern recognition such as letter/sound cognition. Connectionism shows the contrary phenomena to those of the traditional artificial intelligence. Connectionist systems has been shown to be very strong in the tasks of pattern recognition but weak in most of logical tasks. Brooks' situated action theory denies the. notion of representation which is presupposed in both the traditional artificial intelligence and connectionism and suggests a subsumption model which is based on perceptions coming from real world. However, situated action theory hasn't also been well applied to human cognition so far. In emphasizing those characteristics of models I refer those models 'left-brain model', 'right-brain model', and 'robot model' respectively. After I examine those models in terms of substantial items of cognitions- mental state, mental procedure, basic element of cognition, rule of cognition, appropriate level of analysis, architecture of cognition, I draw three arguments of embodiment. I suggest a way of unifying those existing models by examining their theoretical compatability which is found in those arguments.

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The Relationship Between Older Driver's Self-Report Safe Driving Behavior, Driving Mobility & Subjective Well-Being (고령운전자의 자기-평가 안전운전행동, 운전이동성 및 주관적 안녕감 사이의 관계)

  • Mijung Joo;Jaesik Lee
    • Korean Journal of Culture and Social Issue
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    • v.20 no.4
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    • pp.281-305
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    • 2014
  • This study investigated the relationship between older driver's safe driving behavior, driving mobility(amount of driving, assessment for driving-related physical ability, confidence for adaptation in driving situation, amount of social activity) and subjective well-being(life satisfaction, positive/negative affect). The data of these variables were collected by questionnaire method based on face-to-face interview. The results can be summarized as followings. First, the older driver who reported higher scores in the self-report safe driving behavior questionnaire tended to show higher level of subjective well-being and driving-based mobility. Second, all the sub-factors in the driving-based mobility questionnaire were positively related to life satisfaction, positive affect but negatively related to negative affect except amount of driving. Finally, it was found that both confidence for adaptation in driving situation and amount of social activity positively mediated the relationship between self-report safe driving behavior and life satisfaction and positive affect, but confidence for adaptation in driving situation negatively mediated the relationship between self-report safe driving behavior and negative affect, Implication and suggestion were discussed.

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Hybrid of Reinforcement Learning and Bayesian Inference for Effective Target Tracking of Reactive Agents (반응형 에이전트의 효과적인 물체 추적을 위한 베이지 안 추론과 강화학습의 결합)

  • 민현정;조성배
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.10a
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    • pp.94-96
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    • 2004
  • 에이전트의 '물체 따라가기'는 전통적으로 자동운전이나 가이드 등의 다양한 서비스를 제공할 수 있는 기본적인 기능이다. 여러 가지 물체가 있는 환경에서 '물체 따라가기'를 하기 위해서는 목적하는 대상이 어디에 있는지 찾을 수 있어야 하며, 실제 환경에는 사람이나 차와 같이 움직이는 물체들이 존재하기 때문에 다른 물체들을 피할 수 있어야 한다. 그런데 에이전트의 최적화된 피하기 행동은 장애물의 모양과 크기에 따라 다르게 생성될 수 있다. 본 논문에서는 다양한 모양과 크기의 장애물이 있는 환경에서 최적의 피하기 행동을 생성하면서 물체를 추적하기 위해 반응형 에이전트의 행동선택을 강화학습 한다. 여기에서 정확하게 상태를 인식하기 위하여 상태를 추론하고 목표물과 일정거리를 유지하기 위해 베이지안 추론을 이용한다 베이지안 추론은 센서정보를 이용해 확률 테이블을 생성하고 가장 유력한 상황을 추론하는데 적합한 방법이고, 강화학습은 실시간으로 장애물 종류에 따른 상태에서 최적화된 행동을 생성하도록 평가함수를 제공하기 때문에 베이지안 추론과 강화학습의 결합모델로 장애물에 따른 최적의 피하기 행동을 생성할 수 있다. Webot을 이용한 시뮬레이션을 통하여 다양한 물체가 존재하는 환경에서 목적하는 대상을 따라가면서 이종의 움직이는 장애물을 최적화된 방법으로 피할 수 있음을 확인하였다.

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Design of Pet Behavior Classification Method Based On DeepLabCut and Mask R-CNN (DeepLabCut과 Mask R-CNN 기반 반려동물 행동 분류 설계)

  • Kwon, Juyeong;Shin, Minchan;Moon, Nammee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.927-929
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    • 2021
  • 최근 펫팸족(Pet-Family)과 같이 반려동물을 가족처럼 생각하는 가구가 증가하면서 반려동물 시장이 크게 성장하고 있다. 이러한 이유로 본 논문에서는 반려동물의 객체 식별을 통한 객체 분할과 신체 좌표추정에 기반을 둔 반려동물의 행동 분류 방법을 제안한다. 이 방법은 CCTV를 통해 반려동물 영상 데이터를 수집한다. 수집된 영상 데이터는 반려동물의 인스턴스 분할을 위해 Mask R-CNN(Region Convolutional Neural Networks) 모델을 적용하고, DeepLabCut 모델을 통해 추정된 신체 좌푯값을 도출한다. 이 결과로 도출된 영상 데이터와 추정된 신체 좌표 값은 CNN(Convolutional Neural Networks)-LSTM(Long Short-Term Memory) 모델을 적용하여 행동을 분류한다. 본 모델을 바탕으로 행동을 분석 및 분류하여, 반려동물의 위험 상황과 돌발 행동에 대한 올바른 대처를 제공할 수 있는 기반을 제공할 것이라 기대한다.

Querying Spatio-Temporal Context for Intelligent Service Robots (지능형 서비스 로봇을 위한 시-공간 상황 질의)

  • Kim, Jong-Hoon;Kim, Incheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.896-899
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    • 2017
  • 본 논문에서는 일상생활 환경에서 동작하는 지능형 서비스 로봇을 위한 시 공간 상황 질의 언어와 질의 처리 방안을 제안한다. 서비스 로봇이 외부 환경 변화를 정확히 인식하고 행동 절정에 신속히 반영하기 위해서는 로봇 내부에서 관리되는 상황 지식들이 매우 높은 시간 의존성을 가져야 한다. 본 논문에서 제안하는 상황 질의 언어인 RCQL은 시간 의존성이 높은 공간 관계 상황 지식들을 효과적으로 표현할 수 있도록 Allen의 간격 대수 이론에 기초한 시간 연산자들을 포함하고 있다. 물체들 간의 고수준 공간 관계 상황 지식을 조회하는 RCQL 질의들에 신속히 답하기 위해, 본 논문에서는 후향 정량 추론을 포항한 질의 처리기의 설계 방안도 제시한다. 다양한 실험을 통해 본 논문에서 제안하는 상황 질의 언어와 질의 처리 방안의 우수생을 확인할 수 있었다.

Crime prediction Model with Moving Behavior pattern (행동 패턴 기반 범죄 예측 모델 연구)

  • Choe, Jong-Won;Choi, Ji-Hyen;Yoon, Yong-Ik
    • Journal of Satellite, Information and Communications
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    • v.11 no.1
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    • pp.55-57
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    • 2016
  • In this paper, we present an algorithm to determine the abnormal behavior through a CCTV-based behavioral recognition and a pattern of hand using ConvexHull. In the existing way that using CCTV for crime prevention, facial recognition is mainly used. Facial recognition is the way that compares the faces that are seen on the screen and faces of criminals for determining how dangerous targets are, however, this way is hard to predict future criminal behavior. Therefore, to predict more various situations, abnormal behaviours are determined with targets' incline of arms, legs and bodys and patterns of hand movements. it can forecast crimes when an acting has been getting within common normality out, comparing whose acting patterns with the crime patterns.

A STUDY ON THE VARIABLES OF CHILDHOOD ANTISOCIAL BEHAVIOR (반사회적행동(Antisocial Behavior) 아동의 특성에 관한 연구)

  • Kim, Tae-Ryeon;Lee, Kyung-Sook
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.3 no.1
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    • pp.14-25
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    • 1992
  • The present study was purposed to find out variables of childhood antisocial behavior. The variables consisted of social cognition competence(Peer perception. acquaintance perception, frustration situation perception). academic competence(Visual integration function. written expression function, grammar closure function). The subject in this study were 32 nine year old-fourteen year old antisocial behavior boys and 32 third grade in elementary school-second grade in middle school normal boys and girls. The results of this study were obtained as follows. 1) In peer perception antisocial behavior children perceived peer as more supportive than normals. In acquaintance perception. there was no difference between groups. 2) In frustration situation perception, normal children used intropunitive attack still more than antisocial behavior children and antisocial behavior children perceived frustration situation more sensitive than normals and they were less active in problem solving aspects than normals. 3) In Academic competence, antisocial behavior children have deficits in visual motor integration function, written expression function. grammar closure function.

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An Unthinking Sage? Plotinus' Model of Non-Deliberative Action (생각하지 않는 현자(賢者)? 플로티누스의 비-숙고적 행동 모델)

  • Song, Euree
    • Journal of Korean Philosophical Society
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    • no.125
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    • pp.63-89
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    • 2019
  • The aim of this paper is to examine the so-called theory of automatic action attributed to Plotinus, according to which the sage can act automatically without deliberation or reasoning. Concerns were raised that such a theory runs the risk of turning the agent into an automaton by reducing action to mechanical reflexes to external stimuli. I attempt to show that Plotinus does not hold a theory of automatic action by arguing that the Plotinian sage's non-deliberative action is not automatic at all. For this purpose, I first draw attention to the non-deliberative action of the World-Reason (i.e. the reason of the World-Soul), which is supposed to present an ideal model of action. Indeed, Plotinus mentions that the World-Reason rules the world "as if automatically". This is, however, meant to indicate the spontaneous and natural manner in which the World-Reason rules. In this respect, the way the World-Reason works is compared to the way nature (i.e. the productive power of the World-Soul) works. But Plotinus points out that the World-Reason knows what to do, whereas nature works without knowing. In this connection, Plotinus makes it clear that the World-Reason does not calculate or deliberate about what to do because it already knows it. To clarify this point, I turn to Plotinus' analogy of practical wisdom (phronêsis) and skill, according to which the World-Reason is compared to an accomplished craftsman or artist, who confidently works without any doubt, hesitation or difficulty, thereby expressing her intelligence, unmediated by deliberation. From this perspective, non-deliberative action according to practical wisdom turns out to be superior to deliberative action. Plotinus admits that there are difficult circumstances in which even the skilled craftsman, unlike the World-Reason who always controls the whole situation, needs to deliberate or calculate, but he is nevertheless confident that the craftsman easily finds the solution. This suggests that the sage, who possesses practical wisdom, can act normally like a great master or virtuoso without deliberation, but in an emergency situation he also employs deliberation, but resourcefully and creatively responds to challenge. The attempt is made to elucidate the Plotinian model of sage's action with the help of Csikzentmihalyi's concept of 'flow' and Annas' application of it to the analogy of virtue and skill. Finally, it is shown that the sage's virtuous action, in spite of being a habituated action, is not a passive, routinized, automatic action, but an active, flexible, intelligent action.

A Design of Floodgate Lookout System using BRMS (BRMS를 이용한 침수상황감시/현장안내 시스템 설계)

  • Son, Ki-Chon;Kim, Mun-Geon;Park, Choong-Shik
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2017.11a
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    • pp.217-218
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    • 2017
  • 침수상황감시/현장안내시스템은 핸드폰망(CDMA)등 다양한 통신채널과 이들의 DTMF, SMS, Data 통신 등을 활용하여 수위 등 현장위험 상황을 실시간으로 감시 위험요인 발생 시 비즈니스 룰(Business Rule)을 이용 자동으로 현장안내 및 관리자, 지역주민, 수문 인근 경작지 농민에게 SMS를 이용 즉각 위험 상황을 전달하고, 상황실에 현장 상황 자동표출을 통하여 관계기관 및 국민들이 재난상황에 신속히 대응할 수 있도록 하는 시스템이다. 지방자치단체에서 재난상황 관리에 있어 유형별 표준행동 매뉴얼을 관리 시군구재난관리시스템을 이용 운영하고 있으나, 많은 분야별 자료들이 행정적인 업무지시 및 응답에 치중되고 있는 게 현실이다. 이에 지방자치단체에서 관리중인 배수문, 잠수교, 하상주차장 등 위험지역의 침수상황을 실시간으로 감시하며 공무원, 민원인, 인근주민에게 상황단계에 따른 안내 및 관리에 대한 업무프로세스는 상황에 따른 변화가 있어 단순한 프로그래밍에 의한 전산화하기 힘들다. 본 논문에서는 재난전문가의 전문지식을 적극 활용하여 다양한 상황에 대처할 수 있는 BRMS(Business Rule Management System)를 이용하여 침수상황감시/현장안내시스템의 설계를 제안하고자 한다.

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