• Title/Summary/Keyword: Avoidance Behavior

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Analysis on Space Image Evaluation through Recognitive-Emotional Factor (인지-감정요소에 의한 공간이미지 평가성 분석)

  • Song, Young-Min;Lee, Dong-Ki
    • Korean Institute of Interior Design Journal
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    • v.20 no.6
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    • pp.71-78
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    • 2011
  • Although the recognition and emotion about space is subjective and individual, if standard is proposed through common factor, objective, quantified space image evaluation will be available. In addition, space image evaluation standard caused by recognitive-emotional factor can meet requests of space users and increase psychological satisfactions. The purpose of this study is to grasp the space image caused by recognitive-emotional factor in space with PAD model and analyze the evaluation of space image giving visual, recognitive and emotional effects. The analysis result revealed that 'joyfulness' and access-avoidance had a very similar distribution. The result means that space is evaluated with the degree of 'joyfulness' for space and it is led by approach-avoidance behavior. The recognition factor that forms and evaluates space image and decides approach-avoidance is expressed as adjective images such as 'fresh, joyful, light and static and its emotional factors are adjective images such as 'calm, allowable, joyful and quiet'.

Effects of Red Ginseng Saponin on Normal and Scopolamine-induced Memory Impairment of Mice in Passive Avoidance Task (정상 및 기억손상 유도 동물의 수동회피반응에 대한 홍삼 사포닌의 효과)

  • 진승하;경종수
    • Journal of Ginseng Research
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    • v.20 no.1
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    • pp.7-14
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    • 1996
  • This study was performed to examine the effect of red ginseng total saponin and extract on memory in mice using one trial step-down type passive avoidance method. Red ginseng total saponins (No. 1: PD/PT ratio=1.24, No. 2: PD/PT ratio=1.47) were prepared with the different mixing ratio by using the parts of red ginseng. In single administration of total saponin No. 1 (100 mg/ kg, bw) or No. 2 (50 mg/kg, bw) increased the latency time as compared with control group but was not statistically significant. Treatment of total saponin No. 1 (50 mg/kg, bw) for 10 days produced an increase of latency time but was not statistically significant. In scopolamine-induced memory deficient mice total saponin No. 1 (50 mg/kg, bw) and No. 2 (100 mg/kg, bw) significantly improved the latency time. These results show that red ginseng total saponin may improve the memory of sco-polamine-induced memory deficient mice and have nootropic activity.

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Obstacle Avoidance of Mobile Robot Based on Behavior Hierarchy by Fuzzy Logic

  • Jin, Tae-Seok
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.12 no.3
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    • pp.245-249
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    • 2012
  • In this paper, we propose a navigation algorithm for a mobile robot, which is intelligently searching the goal location in unknown dynamic environments using an ultrasonic sensor. Instead of using "sensor fusion" method which generates the trajectory of a robot based upon the environment model and sensory data, "command fusion" method is used to govern the robot motions. The navigation strategy is based on the combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance. To identify the environments, a command fusion technique is introduced, where the sensory data of ultrasonic sensors and a vision sensor are fused into the identification process.

Longitudinal Motion Planning of Autonomous Vehicle for Pedestrian Collision Avoidance (보행자 충돌 회피를 위한 자율주행 차량의 종방향 거동 계획)

  • Kim, Yujin;Moon, Jongsik;Jeong, Yonghwan;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.11 no.3
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    • pp.37-42
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    • 2019
  • This paper presents an autonomous acceleration planning algorithm for pedestrian collision avoidance at urban. Various scenarios between pedestrians and a vehicle are designed to maneuver the planning algorithm. To simulate the scenarios, we analyze pedestrian's behavior and identify limitations of fusion sensors, lidar and vision camera. Acceleration is optimally determined by considering TTC (Time To Collision) and pedestrian's intention. Pedestrian's crossing intention is estimated for quick control decision to minimize full-braking situation, based on their velocity and position change. Feasibility of the proposed algorithm is verified by simulations using Carsim and Simulink, and comparisons with actual driving data.

Effects of Ethanol Extract from Magnolia Officinalis on Anxiety and Cognitive Function (후박 에탄올 추출물의 불안 및 인지기능에 대한 효과)

  • Lee, Hyun-ki;Lee, Un-jung
    • The Journal of Internal Korean Medicine
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    • v.36 no.4
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    • pp.507-517
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    • 2015
  • The bark of Magnolia officinalis has been used in traditional oriental medicine to treat a variety of mental disorders including anxiety and depression. The purpose of this study was to examine the effect of M. officinalis ethanol extract on stress-induced alterations in learning and cognitive function using a passive avoidance test (PAT) and also on anxiety-related behavior using the elevated plus-maze test (EPM) in female rats . The degree of Tyrosine hydroxylase (TH) in the region of the ventral tegmental area (VTA) and the locus coeruleus (LC) was measured using an immunohistochemical method. Corticosterone concentrations in serum were also measured. The ethanol extract from Magnolia officinalis was orally administered to female rats 30 minutes before evaluating their immobilization stress and anxiety-related behavior using an elevated plus-maze test and a passive avoidance test. Time spent in the open arms of the EPM increased in the M. officinalis-treated group compared with that of the saline-treated control group. In the passive avoidance test, the memory and cognitive function improved in the M. officinalis extract-treated group. M. officinalis extracts reduced elevated corticosterone concentrations in serum. Also, stress-induced TH increases were suppressed in the M. officinalis extract-treated group in the LC and the VTA region. These results suggest that M. officinalis might prove to be an effective anxiolytic anti-stress agent.

How Indirect Contacts of Older Adults through Media Influence Ageism: Investigating the Mediating Role of Attitudes toward Older Adults and Social Norm (매체를 통한 노인접촉경험이 연령주의 행동의도에 미치는 영향: 노인에 대한 태도와 사회적 규범의 매개효과를 중심으로)

  • An, Soontae;Lee, Sun Young;Chung, Soondool
    • 한국노년학
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    • v.37 no.3
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    • pp.763-781
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    • 2017
  • This study explores the relationship between indirect contacts of older adults and ageism related behaviors by investigating adults' exposure to portrayals of older people and their images in media. This study also investigates how indirect contacts of older adults influence ageism related behaviors such as avoidance and discrimination against older adults through attitudes and social norms about older adults. Using an online survey collected from 252 adults aged 18-64 years, the authors found that indirect contacts of older adults through media predicted attitude toward older adults as well as social norms. The results also revealed that social norm predicted both avoidance and discrimination behavior against older adults while attitude toward older adults only predicted avoidance behavior. Finally, the findings indicated that attitude toward older adults mediated the relationship between indirect contacts through media and avoidance behavior. However, social norm mediated the relationships between indirect contacts through media and discrimination as well as avoidance behaviors. Implication and limitation of the findings are discussed.

Formation Flight and Collision Avoidance for Multiple UAVs using Concept of Elastic Weighting Factor

  • Kang, Seunghoon;Choi, Hyunjin;Kim, Youdan
    • International Journal of Aeronautical and Space Sciences
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    • v.14 no.1
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    • pp.75-84
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    • 2013
  • In this paper, the guidance law for formation flight and collision avoidance of multiple Unmanned Aerial Vehicle (UAV)s is proposed. To construct the physically comprehensible guidance law for formation flight, the virtual structure approach is used. To develop a guidance law for collision avoidance considering both other UAVs and unknown static obstacles, a geometric approach using information such as a relative position vector is utilized. Through the Lyapunov theorem, the stability of the proposed guidance law is proved. To combine guidance commands, the concept of the elastic weighting factor inspired by the elastic behavior of shape memory polymer, which tends to regain its original shape after deformation, is introduced. By using the concept of elastic weighting factor, multiple UAVs are able to cope actively with the situation of a collision between both UAVs and static obstacles during the formation flight. To verify the performance of the proposed method, numerical simulations are performed.

Analysis of Seafarers' Behavioral Error on Collision Accidents (충돌사고에 대한 해기사의 행동오류 분석)

  • Yim, Jeong-Bin
    • Journal of Navigation and Port Research
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    • v.43 no.4
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    • pp.237-242
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    • 2019
  • Behavioral errors of the seafarers are one of the major causes of collisions and are usually corrected through education and training. To correct this behavioral error, the structure in which the behavioral error occurs needs to be identified and analyzed. For this purpose, behavior observation data were obtained through ship maneuvering simulation for collision encounters. The 9-state behavior classification frame proposed by Reason was used for the behavior observation and 50 university students were involved in the experiment. Behavioral analysis used the behavioral model of collision avoidance success and failure, which was developed from the 9-state Left-to-Right Hidden Markov modeling technique. As a result of the experiment, the difference between behaviors of success and failure of collision avoidance was clearly identified, and the linkage between 9-state behaviors, required to prevent collision, was derived.

A Study on Clothing Behavior of World Female Political Leaders -Based on Hofstede's Cultural Dimensions Theory- (세계 여성 정치 지도자 의복행동 연구 -홉스테드 문화이론을 중심으로-)

  • Chae, Keum Seok;Kim, Ju Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.3
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    • pp.433-445
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    • 2017
  • This study uses a macro-viewpoint to investigate how female world leaders' clothing behaviors are different by nation and culture. This study conducted a comparative study on clothing behavior by cultural block in order to understand similarities and differences based on Hofstede's cultural dimensions theory. The findings are as follows. First, the clothing styles of female world leaders are categorized into classical suit style, national traditional style, and eclectic style. Second, classic suit style is more often found in countries characterized by high individualism, low power distance index, and low avoidance index. The style represents individual activity and rationality as well as trust towards women acting in men's roles. Third, a national traditional style is found in countries featuring high collectivism, high power distance index, and high uncertainty avoidance index. These countries share a culture that emphasizes harmony with the whole, rather than any one given part; consequently, clothing style represents a national identity (or the roles as a national member) rather than that of the individual level. Fourth, an eclectic clothing style is expressed in a mixture of classical suits and a national traditional style that depends on how much Eastern and Western cultures are reasonably compromised or Eastern tradition and Western culture coexist.

Biologically inspired modular neural control for a leg-wheel hybrid robot

  • Manoonpong, Poramate;Worgotter, Florentin;Laksanacharoen, Pudit
    • Advances in robotics research
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    • v.1 no.1
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    • pp.101-126
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    • 2014
  • In this article we present modular neural control for a leg-wheel hybrid robot consisting of three legs with omnidirectional wheels. This neural control has four main modules having their functional origin in biological neural systems. A minimal recurrent control (MRC) module is for sensory signal processing and state memorization. Its outputs drive two front wheels while the rear wheel is controlled through a velocity regulating network (VRN) module. In parallel, a neural oscillator network module serves as a central pattern generator (CPG) controls leg movements for sidestepping. Stepping directions are achieved by a phase switching network (PSN) module. The combination of these modules generates various locomotion patterns and a reactive obstacle avoidance behavior. The behavior is driven by sensor inputs, to which additional neural preprocessing networks are applied. The complete neural circuitry is developed and tested using a physics simulation environment. This study verifies that the neural modules can serve a general purpose regardless of the robot's specific embodiment. We also believe that our neural modules can be important components for locomotion generation in other complex robotic systems or they can serve as useful modules for other module-based neural control applications.