• Title/Summary/Keyword: Behavior pattern

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Measurement of music preference based on user behavior (사용자 행동 기반 음악 선호도 측정에 관한 연구)

  • Yang, Won-Woo;Kim, Yu-Kyung;Jeon, Mi-Young;Jeong, Gu-Min
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.340-343
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    • 2014
  • 현대에 많은 사람들이 스마트폰, mp3 player와 같은 휴대기기에 많은 음원 파일을 넣어 음악을 듣는다. 그 음악 중에는 잘 듣지 않는 것도 다수 존재하지만 사용자는 그런 파일을 즉시 지우지 않을뿐더러 자기 자신조차 어떤 음악을 즐겨듣는지 아닌지 모두 파악하지 못한다. 본 논문에서는 사용자들이 음악 재생기를 조작할 때 발생하는 행동 패턴을 기반으로 음악의 선호도를 산출하고, 이를 이용하여 음악 선호도 순위 정보를 사용자에게 제공하여 음악 관리를 편하게 할 수 있도록 해주는 시스템을 제안한다.

Study on the effects of various mid-connections of x-brace on frame behavior

  • Hadianfard, Mohammad Ali;Hashemi, Ali;Gholami, Mohammad
    • Earthquakes and Structures
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    • v.12 no.4
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    • pp.449-455
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    • 2017
  • Using X-braced frames in steel structures is a current procedure to achieve good strength against lateral loads. Study on mid-connections of X-braces and their effects on frame behavior is a subject whose importance has been more or less disregarded by researchers. Experimentally inspecting models involves considerable expense and time; however, computer models can be more suitable substitutes. In this research, a numerical model of X-braced frame has been analyzed using finite element software. The results of pushover analysis of this frame are compared with those of the experimental test. With the help of computer model, the effects of different mid-connection details on ductility and lateral strength of the frame are inspected. Also performances of bolted and welded connections are compared. Taking into account ductility and strength, this study suggests details of a decent pattern for the mid-connection.

Implementation of Occupant Density and Walking Pattern Measurement for Emergency Evacuation and Safety in High-Rise Multi-Purpose Facilities

  • Lee, Myung Sik
    • International Journal of High-Rise Buildings
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    • v.7 no.4
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    • pp.409-415
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    • 2018
  • Recently, many countries around the world began to show interest in safety against terrorism, fire, and natural disasters. This study aimed to propose a quantitative measurement system for emergency evacuation and safety for various kinds of terrorism and fire within high-rise multi-purpose facilities, which can measure the pedestrians' ordinary walking patterns in the concourse with the highest pedestrian volume out of all the spaces within multi-story buildings, predict pedestrians' evacuation walking lines when a sudden disaster breaks out, and analyze the gait coefficient, occupant density, and evacuation behavior time.

The Visual Properties of Built-Environment Affecting the Pattern of Human Movement - An Experimental Study Based on the Ecological Perception Theory - (인간 이동 행태에 영향을 미치는 건조 환경의 시각적 속성 - 생태학적 지각이론에 기반한 실험 연구 -)

  • Kim, Minseok
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.35 no.12
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    • pp.13-20
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    • 2019
  • The purpose of this study was to investigate the effects of visual properties on the human movement behavior experimentally and empirically using spatial analysis technique based on ecological perception theory. For the survey of choosing behaviors of heading direction in built environments, the experiment was conducted in which the subjects were made to choose moving directions in some spaces using the virtual environment simulation tool, and then comparative analysis was conducted on the interrelation between the experiment results and various visual properties in existing spatial analysis techniques based on ecological perception theory. As a result, the occlusivity of the isovist theory was found to be the most significant index in the human choice of heading direction, and the longest radial also showed somewhat significant effect on it.

Abnormal Crowd Behavior Detection Using Heuristic Search and Motion Awareness

  • Usman, Imran;Albesher, Abdulaziz A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.131-139
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    • 2021
  • In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

Designing Real-time Observation System to Evaluate Driving Pattern through Eye Tracker

  • Oberlin, Kwekam Tchomdji Luther.;Jung, Euitay
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.421-431
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    • 2022
  • The purpose of this research is to determine the point of fixation of the driver during the process of driving. Based on the results of this research, the driving instructor can make a judgement on what the trainee stare on the most. Traffic accidents have become a serious concern in modern society. Especially, the traffic accidents among unskilled and elderly drivers are at issue. A driver should put attention on the vehicles around, traffic signs, passersby, passengers, road situation and its dashboard. An eye-tracking-based application was developed to analyze the driver's gaze behavior. It is a prototype for real-time eye tracking for monitoring the point of interest of drivers in driving practice. In this study, the driver's attention was measured by capturing the movement of the eyes in real road driving conditions using these tools. As a result, dwelling duration time, entry time and the average of fixation of the eye gaze are leading parameters that could help us prove the idea of this study.

Influence of Slip Angle on Abrasion Behavior of NR/BR Vulcanizates

  • Eunji Chae;Sung-Seen Choi
    • Elastomers and Composites
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    • v.58 no.1
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    • pp.17-25
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    • 2023
  • Abrasion tests of model tire tread compounds (NR and NR/BR blend compounds) were performed at different slip angles (1° and 7°) using a laboratory abrasion tester. The abrasion behavior was investigated by analyzing the worn surface and wear particles. The abrasion spacing formed on the specimen worn at the large slip angle of 7° was significantly narrower than that at the small slip angle of 1°, while the abrasion depth for the specimen worn at 7° was lower than that at 1°. The abrasion spacing and depth tended to be narrower and lower, respectively, as the BR content increased. The abrasion patterns were clearly visible on the outside of the specimen for the slip angle of 1° but not for 7°. The wear particles had a rough surface and there were numerous micro-bumps. It was found that the crosslink density affected the abrasion patterns and morphologies of the wear particles.

Performance of headed FRP bar reinforced concrete Beam-Column Joint

  • Md. Muslim Ansari;Ajay Chourasia
    • Structural Engineering and Mechanics
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    • v.90 no.1
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    • pp.71-81
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    • 2024
  • Fiber Reinforced Polymer (FRP) bars have now been widely adopted as an alternative to traditional steel reinforcements in infrastructure and civil industries worldwide due variety of merits. This paper presents a numerical methodology to investigate FRP bar-reinforced beam-column joint behavior under quasi-static loading. The proposed numerical model is validated with test results considering load-deflection behavior, damage pattern at beam-column joint, and strain variation in reinforcements, wherein the results are in agreement. The numerical model is subsequently employed for parametric investigation to enhance the end-span beam-column joint performance using different joint reinforcement systems. To reduce the manufacturing issue of bend in the FRP bar, the headed FRP bar is employed in a beam-column joint, and performance was investigated at different column axial loads. Headed bar-reinforced beam-column joints show better performance as compared to beam-column joints having an L-bar in terms of concrete damage, load-carrying capacity, and joint shear strength. The applicability and efficiency of FRP bars at different story heights have also been investigated with varying column axial loads.

SEQUENTIAL EM LEARNING FOR SUBSPACE ANALYSIS

  • Park, Seungjin
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.698-701
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    • 2002
  • Subspace analysis (which includes PCA) seeks for feature subspace (which corresponds to the eigenspace), given multivariate input data and has been widely used in computer vision and pattern recognition. Typically data space belongs to very high dimension, but only a few principal components need to be extracted. In this paper I present a fast sequential algorithm for subspace analysis or tracking. Useful behavior of the algorithm is confirmed by numerical experiments.

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