• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.8
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• pp.2833-2850
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• 2014

This paper proposes a novel framework for traffic video classification based on chaotic features. First, each pixel intensity series in the video is modeled as a time series. Second, the chaos theory is employed to generate chaotic features. Each video is then represented by a feature vector matrix. Third, the mean shift clustering algorithm is used to cluster the feature vectors. Finally, the earth mover's distance (EMD) is employed to obtain a distance matrix by comparing the similarity based on the segmentation results. The distance matrix is transformed into a matching matrix, which is evaluated in the classification task. Experimental results show good traffic video classification performance, with robustness to environmental conditions, such as occlusions and variable lighting.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.4
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• pp.395-399
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• 2006

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.

• Korean Institute of Interior Design Journal
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• no.15
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• pp.62-68
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• 1998

Children develop in direct relation and response to their physical environment, The purposes of this study were to investigate the current interior design conditions of classrooms in kindergarten and to provide interior planning guidelines for children's behavioral and developmental improvement and better educational environment. Data were collected through interview and questionnaire survey. The sample included 239 teachers who were employed in 23 kindergartens located in Pusan. The data were analyzed by using SPSS-PC. The major findings were as follows; (1) Wood and wallpapers which provide various colors and patterns are recommendable as a classroom finish rather than paint which looks monotonous. (2) Teachers preferred 7 or 8 activity centers in classroom and furniture or partition is the best when dividing space. (3) Classroom should be large enough to locate various types of furniture that designed based on child-size and objects to store. (4) Activity centers should be lit by different types of task lighting such as floor lamp and backer to provide sufficient level of light.

• Korean Institute of Interior Design Journal
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• no.13
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• pp.96-101
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• 1997

The purpose of this study was to examine the current office work environment and suggest the needs for improvement the quality and efficiency of work. To fulfill this task, information describing various environmental conditions was gathered from generally large offices in Pusan and Major cities in Kyoungnam. Data were collected on questionnaire's general information, lighting, air quality, temperature, health problems, noise and equipment arrangements, and the size fo workspace. The extent to which the attitudes and behaviors of workers were related to these environmental conditions was then examined and scrutinized. According to the development of office automation, the interest in improvement of office environment become increased. Workstation size, individual environmental control, health care, adequate storage space and noise control should be recognized as critical to the worker's environmental satisfactiov. Finally, based on the results of this study, a number ofrecommendations can be made for alleviating some of the problems that have been identified. Designers should be interested in knowing if their environments actually function in the manner in which they were intended.

• Physical Therapy Korea
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• v.10 no.1
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• pp.97-108
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• 2003

Slipping during various kinds of movement often leads to potentially dangerous incidents of falling. The purpose of this paper was to review some of the research performed in the field including such topics as rating scales for balance, kinematics and kinetics of slipping, adaptation to slippery conditions, postural and balance control, and protective movement during falling. Controlling slipping and fall injuries requires a multifaceted approach. Environmental conditions (state of floor surface, tidiness, lighting, etc), work task (walking, carrying, pushing, lifting, etc), and human behavior (anticipation of hazards, adaptation to risks, risk taking, etc) must be accounted for in the assessment of slip and fall-related risks. Future directions of research must deal with modeling of basic tribophysical, biomechanical, and postural control process involved in slipping and falling.

• Journal of Computing Science and Engineering
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• v.11 no.1
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• pp.24-31
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• 2017

Face-based video retrieval has become an active and important branch of intelligent video analysis. Face profiling and matching is a fundamental step and is crucial to the effectiveness of video retrieval. Although many algorithms have been developed for processing static face images, their effectiveness in face-based video retrieval is still unknown, simply because videos have different resolutions, faces vary in scale, and different lighting conditions and angles are used. In this paper, we combined content-based and semantic-based image analysis techniques, and systematically evaluated four mainstream local features to represent face images in the video retrieval task: Harris operators, SIFT and SURF descriptors, and eigenfaces. Results of ten independent runs of 10-fold cross-validation on datasets consisting of TED (Technology Entertainment Design) talk videos showed the effectiveness of our approach, where the SIFT descriptors achieved an average F-score of 0.725 in video retrieval and thus were the most effective, while the SURF descriptors were computed in 0.3 seconds per image on average and were the most efficient in most cases.

• Journal of Power Electronics
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• v.12 no.6
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• pp.974-981
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• 2012

A FPGA based delta modulated single phase matrix converter has been developed that may be used in both cyclo-converters and cyclo-inverters. This converter is ideal for variable speed electrical drives, induction heating, fluorescent lighting, ballasts and high frequency power supplies. The peripheral input-output and FPGA interfacing have been developed through Xilinx 9.2i, to generate delta modulated trigger pulses for the converter. The controller has been relieved of the time consuming computational task of PWM signal generation by implementing the method of trigger pulse generation in a FPGA by using Hardware Description Language VHDL in Xilinx. The trigger circuit has been tested qualitatively by observing various waveforms on an oscilloscope. The operation of the proposed system has been found to be satisfactory.

• Journal of the Korean housing association
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• v.19 no.4
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• pp.1-10
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• 2008

According to the Korean National Statistics Office(KNSO), more than 90% of Korean adolescents aged from 15 to 19 use a computer for more than 10 hours per week. The KNSO also reveals that this age group mostly uses a computer in their own room, followed by a commercial place. It is also found that the house for the adolescent is not simply a physical environment, but is rather a center of their personal lives where their personal and social developments are formed. Therefore, the physical environment where computers are used is very important. The purpose of this study was to investigate the characteristics and needs of computer furniture for the adolescent. Data were collected through self-administered questionnaires and 414 adolescents participated. The results of this study are as follows: (1) Most of the respondents(42%) used the internet for less than one hour per day and it was used for community visits and operations, game, and chat rooms. (2) The desks where computers were used were specially designed and made of wood. Chairs were typically height adjustable with armrests and there was no task lighting for computer use. (3) The preferences of computer furniture were chairs with a high back, casters and armrests. The overall satisfaction of individual computer rooms was low. However, it is important for an adolescent to be provided with a user friendly environment for sound growth and development. Further study is therefore needed regarding environmental variables through empirical study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.196-199
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• 2010

The human eyes are important facial landmarks for image normalization due to their relatively constant interocular distance. This paper introduces a novel approach for the eye detection task using optimal segmentation method for eye representation. The method consists of three steps: (1)edge extraction method that can be used to accurately extract eye region from the gray-scale face image, (2)extraction of eye region using labeling method, (3)eye localization based on intensity information. Experimental results show that a correct eye detection rate of 98.9% can be achieved on 2408 FERET images with variations in lighting condition and facial expressions.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.06a
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• pp.517-518
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• 2007

A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Nonlinear trail are included in this paper.