• Archives of design research
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• v.15 no.3
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• pp.115-126
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• 2002

The occupational execution technique and the ability of people has been changed along with the change of thinking and the development of complicated social structure. The needs of learner's self-controlled learning system is arise to increase the occupational execution technique and adaptation in such a changing social environment. To meet these needs, we must develop systematic approach on the module-type educational material system. The purpose of this study lies on developing the module-type educational material system and its application in aspects of occupational execution ability. Based on the job analysis of advertising design, 1 analyze the learning ability for the occupational execution and abstract knowledge, function, attitude from each learning category of each learning ability. All these processes are the basis of developing the module-type educational material system. and the system will be appreciated in many other fields not only on advertising design.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.245-249
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• 2010

In the stereo vision system, information about an object could be gained by searching through images. Edges which are based on the information about an object are used to find the position of the object and send a message of its position coordinate to a unmanned crain. This thesis proposes an algorithm to find the center point of the object's surface which is connected to the unmanned crain's arm, and to recognize the shape of the object by using two CCD cameras. At first, getting information about the edges, and distinguishing each edge's characteristics depend on user's option, and then find the location information by a set of positions that are proposed. This thesis is expected to be devoted to the development of an automation system of unmanned moving equipment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1767-1775
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• 2010

As factory automation is getting popular, there has been a lot of research concerned with stereo vision systems as a part of an automation system with unmanned moving equipment. In the stereo vision system, information about an object could be gained by searching through images. Edges which are based on the information about an object are used to find the position of the object and send a message of its position coordinate to a unmanned crain. This thesis proposes an algorithm to find the center point of the object's surface which is connected to the unmanned crain's hookblock, and to recognize the shape of the object by using two CCD cameras. At first, getting information about the edges, and distinguishing each edge's characteristics depend on user's option, and then find the location information by a set of positions that are proposed. This thesis is expected to be devoted to the development of an automation system of unmanned moving equipment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.4
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• pp.851-859
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• 2011

In this paper, we propose the method that automatically extracts the silhouette and the joints of consecutive input image, and track joints to trace object for interaction between human and computer. Also the proposed method presents the action of human being to map human body using joints. To implement the algorithm, we model human body using 14 joints to refer to body size. The proposed method converts RGB color image acquired through a single camera to hue, saturation, value images and extracts body's silhouette using the difference between the background and input. Then we automatically extracts joints using the corner points of the extracted silhouette and the data of body's model. The motion of object is tracted by applying block-matching method to areas around joints among all image and the human's motion is mapped using positions of joints. The proposed method is applied to the test videos and the result shows that the proposed method automatically extracts joints and effectively maps human body by the detected joints. Also the human's action is aptly expressed to reflect locations of the joints

• Journal of Korean Library and Information Science Society
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• v.36 no.2
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• pp.307-325
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• 2005

The paper examined and analyzed the factors affecting TQM in Medical libraries. The questionnaire was used for collecting data and the ANOVA and T-TEST were used for analyzing data. The results showed that librarians positively recognize the need of TQM in Medical libraries. However, the results showed that library system needs to improve the reward system for effective performance of the work. Finally, this study showed that librarians need to be well-qualified person as a professional with the CEO of strong leadership for successful TQM.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12B
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• pp.1192-1198
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• 2010

As indicators of life quality have recently shown great improvement, alternative medicine is becoming a mainstream health care pattern, in which early stage medical examinations and treatments are usually preformed before diseases occur. In this context, the ear-acupuncture method is increasingly used these day as one of important alternative medicine treatments. In this paper, we performed an experiment of facial region color analysis with kidney ear acupuncture point irritation. For this, we collected facial image samples before and after kidney ear acupuncture point irritation under the same condition. From the samples, the change rates of K, L values of CMYK color system and Lab color system, respectively, on kidney related facial parts were extracted and analyzed to investigate kidney function improvement.

• Journal of the Korea Computer Industry Society
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• v.3 no.9
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• pp.1145-1156
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• 2002

A method to measure the speed and distance of moving object is proposed using the stereo vision system. One of the most important factors for measuring the speed and distance of moving object is the accuracy of object tracking. Accordingly, the background image algorithm is adopted to track the rapidly moving object and the local opening operator algorithm is used to remove the shadow and noise of object. The extraction efficiency of moving object is improved by using the adaptive threshold algorithm independent to variation of brightness. Since the left and right central points are compensated, the more exact speed and distance of object can be measured. Using the background image algorithm and local opening operator algorithm, the computational processes are reduced and it is possible to achieve the real-time processing of the speed and distance of moving object. The simulation results show that background image algorithm can track the moving object more rapidly than any other algorithm. The application of adaptive threshold algorithm improved the extraction efficiency of the target by reducing the candidate areas. Since the central point of the target is compensated by using the binocular parallax, the error of measurement for the speed and distance of moving object is reduced. The error rate of measurement for the distance from the stereo camera to moving object and for the speed of moving object are 2.68% and 3.32%, respectively.

• The KIPS Transactions:PartB
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• v.19B no.2
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• pp.107-112
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• 2012

An active object tracking algorithm using Pan and Tilt camera based in the stepwise application of region and color information from realtime image sequences is proposed. To reduce environment noises in input sequences, Gaussian filtering is performed first. An image is divided into background and objects by using the adaptive Gaussian mixture model. Once the target object is detected, an initial search window close to an object region is set up and color information is extracted from the region. We track moving objects in realtime by using the CAMShift algorithm which enables to trace objects in active camera with the color information. The proper tracking is accomplished by controlling the amount of pan and tilt to be placed the center position of object into the middle of field of view. The experimental results show that the proposed method is more effective than the hand-operated window method.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.91-98
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• 2019

The present study was performed to investigate the general research trends of dyslexia and learning disability to explore the centrality of related variables though analysis of keyword networks. Data were collected from ten years articles research information sharing service(RISS) which is provided by korea education and research information service(KERIS). The research subjects selected for the analysis were keyword cleansing work, extraction major keyword using KrKwic program and using NodeXL program to Visualize the center of connection between keyword. The results of this were as follows. First, totally 72 of keyword were extracted from keyword cleansing process and among those keyword. major keywords included learning disability, dyslexia, RTI. Second, analysis of the betweenness centrality of dyslexia and learing disabilities shows that learning disabilities are a key word that has been addressed in the study of dyslexia and learning disabilities in korea. The results of these studies suggest a method of analyzing trends in qualitative and qualitative analysis in relation to dyslexia and learning disorder.

• The Korean Journal of Food And Nutrition
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• v.25 no.4
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• pp.871-877
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• 2012

This study investigated the effects of temperature, solvent concentration, and pH on the ${\beta}$-glucan extraction. Oat bran ${\beta}$-glucan was extracted with different extraction conditions, using various combinations of experiment factors, such as temperature (40, 45, 50, 55, and $60^{\circ}C$), ethanol concentration (0, 5, 10, 15, and 20%), and pH (5, 6, 7, 8, and 9). Under the various extraction conditions, ${\beta}$-glucan extraction rate and overall mass transfer coefficient of oat bran ${\beta}$-glucan, and viscosity of oat bran extracts were investigated. As increasing the extraction time, the extraction rate of ${\beta}$-glucan increased. The overall mass transfer coefficient of ${\beta}$-glucan ranged from $3.36{\times}10^{-6}$ to $8.55{\times}10^{-6}cm/min$, indicating the lowest at the extraction condition of $45^{\circ}C$, 15% and pH 8, and the highest at $50^{\circ}C$, 0% and pH 7. It was significantly greater with increasing extraction temperature and decreasing ethanol concentrations of extraction solvent, except for solvent pH. There were positive correlations among the overall mass transfer coefficient, the extraction rate of ${\beta}$-glucan, and the viscosity of extract.