• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2131-2136
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• 2003

Since the number of user-requests increases dramatically on the Internet, the servers and networks can be swamped unexpectedly without any prior notice. Therefore, the end-users are waiting or refused for the responses of the contents from the originating servers. To solve this problem, it has been considered that a distributed web caching system efficiently utilizes structural elements of the network. Because a distributed web caching system uses the caches that are close to end-users on the network, it transmits the contents to users faster than the original network system. This paper proposes a simple client-based distributed web caching system(2HRCS) that client can directly perform object allocation and load balancing without an additional DNS for load balancing in CARP (Cache Array Routing Protocol) and GHS (Global Hosting System) that are the recent distributed web caching system protocol. The proposed system reduces the cost of setup and operation by removing DNS that needs to balance the load in the existing system. The system has clients with consistent hashing method, so it extends its environment to other distributed web caching system that has caches of different capacity. A distributed web caching system is composed and tested to evaluate the performance. As a result, it shows superior performance to consistent hashing system. Because this system can keep performance of the existing system and reduce costs, it has the advantage of constructing medium or small scale CDN (Contents Delivery Network).

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2137-2142
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• 2003

One of the important performance metrics of the World Wide Web is how fast and precise a request from users will be serviced successfully. Shared Web Caching (SWC) is one of the techniques to improve the performance of the network system. In Shared Web Caching Systems, the key issue is on deciding when and where an item is cached, and also how to transfer the correct and reliable information to the users quickly. Such SWC distributes the items to the proxies which have sufficient capacity such as the processing time and the cache sizes. In this study, the Hot Spot Prediction Algorithm (HSPA) has been suggested to improve the consistent hashing algorithm in the point of the load balancing, hit rate with a shorter response time. This method predicts the popular hot spots using a prediction model. The hot spots have been patched to the proper proxies according to the load-balancing algorithm. Also a simulator is developed to utilize the suggested algorithm using PERL language. The computer simulation result proves the performance of the suggested algorithm. The suggested algorithm is tested using the consistent hashing in the point of the load balancing and the hit rate.

• Computers and Concrete
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• v.25 no.6
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• pp.551-563
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• 2020

This paper investigates the artificial neural network (ANN) to predict the dimensionless parameters for the maximum contact pressures and contact areas of a contact problem. Firstly, the problem is formulated and solved theoretically by using Theory of Elasticity and Integral Transform Technique. Secondly, the contact problem has been extended based on the ANN. The multilayer perceptron (MLP) with three-layer was used to calculate the contact distances. External load, distance between the two quarter planes, layer heights and material properties were created by giving examples of different values were used at the training and test stages of ANN. Program code was rewritten in C++. Different types of network structures were used in the training process. The accuracy of the trained neural networks for the case was tested using 173 new data which were generated via theoretical solutions so as to determine the best network model. As a result, minimum deviation value (difference between theoretical and C++ ANN results) of was obtained for the network model. Theoretical results were compared with artificial neural network results and well agreements between them were achieved.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.16 no.4
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• pp.506-514
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• 2009

Purpose: This study was conducted to define factors influencing psychosocial adaptation of patients with a permanent colostomy. Independent variables including perceived stress, stoma care self-efficacy, self-care behavior, self-esteem and family support were used to predict psychosocial adaptation. Method: The data was analyzed using the SPSS pc program window version 12.0 for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Ninety patients with a permanent colostomy were recruited between September 2007 and May 2008. The reliability of the instruments was tested with Cronbach's alpha which ranged from .78 to .92. Result: The results were as follows: The mean psychosocial adaptation score was 3.05. There were significant correlations between all the predictive variables and psychosocial adaptation (r= .63~ -.43, p<.001). Stepwise multiple regression analysis showed that self-esteem (40%), stoma care self-efficacy (7%), perceived stress (2%), and self-care behavior (2%) accounted for 51% of the variance in psychosocial adaptation. Conclusion: These findings indicate that to improve psychosocial adaptation of patients with permanent colostomy, the major related factors identified in this study should be considered.

• Journal of Korean Academy of Nursing
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• v.35 no.6
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• pp.1054-1062
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• 2005

Purpose: The purpose of this study was to develop and to evaluate a health promotion program for elderly. Method: Subjects were 63 elderly women (experimental group:33, control group:30). The study was a nonequivalant control group pretest-posttest design. The data was analyzed with an SPSS Window program, then the data was computed for the purpose of each study. Result: 1. In designing the program, the experimental group was given health education - 2 times per week, for 8 weeks - and they participated in recreation programs and stretching exercises five times a week. 2. Stretching exercises including health education, significantly affected the total Cholesterol, HDL-cholesterol, triglycerides, health behavior and self-efficacy. 3. The body fat weight was not significantly affected by the stretching exercises. Conclusion: This program was tested to promote the health of elderly and verified as an effective nursing intervention program, because the outcome of this program ascertains that this program enhances self efficacy of exercise, reduces Cholesterol and triglyceride levels' Increases HDL-cholesterol, and helps promote the understanding of heath behavior.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.29B no.11
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• pp.102-110
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• 1992

In this paper, a new method of character recognition is proposed. It uses density information, in addition to positional and directional information generally used, to recognize a character. Four directional feature primitives are extracted from the thinning templates on the observation that the output of the templates have directional property in general. A simple and fast feature extraction scheme is possible. Features are organized from recursive nonary tree(N-tree) that corresponds to normalized character area. Each node of the N-tree has four directional features that are sum of the features of it's nine sub-nodes. Every feature primitive from the templates are added to the corresponding leaf and then summed to the upper nodes successively. Recognition can be accomplished by using appropriate feature level of N-tree. Also, effectiveness of each node's feature vector was tested by experiment. A method to implement the proposed feature vector organization algorithm into hardware is proposed as well. The third generation node, which is 4$\times$4, is used as a unit processing element to extract features, and it was implemented in hardware. As a result, we could observe that it is possible to extract feature vector for real-time processing.

• Journal of Industrial Technology
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• v.28 no.A
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• pp.71-74
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• 2008

Belt Integrated Seat(BIS) has many advantages compared to the existing seats. Due to the development of materials and manufacturing technology, BIS, which has been used restrictely in the past, has gone through a rapid growth. As a result, its advantages have gained attention and the possibility of replacing the existing seats has grown. The need to develop BIS has risen and presently joint development with associated industries is in progress. For its first goal, the development and research of Recliner sensor has been selected. Recliner sensor is an essential part of the BIS in which the belt is incorporated onto the seat. In seat-belts, there is an inclination sensor which locks the belt according to the angle of a car. Because the inclination sensor can change frequently depending on the back of seat, a device which can enhance the inclination sensor according to the angle of the back of seat. It is the Recliner sensor that play's this role. Studies on Recliner sensor within and outside Korea has not yet made a salient progress, and due to this fact, the joint development has made a start by benchmarking other company's products. Currently, in other to set the course of the development, a research in patents and various other information is being done. In addition, for the purpose of developing a product which will be compatible with the existing products, a prototype will be made and tested before a new product makes its launching on the market.

• Journal of Industrial Technology
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• v.28 no.A
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• pp.19-22
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• 2008

In recent years, much attention has been paid to "Photocatalytic oxidation" as an alternative technique, where the pollutants are degraded by UV-irradiation in the presence of a semiconductor suspension such as titanium dioxide. $TiO_2$ is the most often used photocatalyst due to its considerable photocatalytic activity, high stability, non-environmental impact and low cost. 1n this research, the photocatalytic degradation of humic acid, acetaldehyde and methylene blue in $UV/TiO_2$ systems has been stydied. The effect of calcination temperature for manufacturing of $TiO_2$ photocatalysts and type of photocatalysts on photodegradation has been investigated. Photocatalysts with various metal ions(Mn, Fe, Cu and Pt) loading are tested to evaluate the effects of metal ions impurities on photodegradation. The photodegradation efficiency with $Pt-TiO_2$ or $Fe-TiO_2$ or $Cu-TiO_2$ is higher than Degussa P-25 powder. However, the photodegradation efficiency with $Mn-TiO_2$ is lower than Degussa P-25 powder. The photocatalytic properties of the nanocrystals were strongly dependent upon the crystallinity, particle size, standard reduction potential of various transition metal and electronegativity of various transition metal. As a result photocatalysts with various metal ion loading evaluated the effect of photodegradation.

• Journal of Auto-vehicle Safety Association
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• v.4 no.2
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• pp.32-36
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• 2012

The Automatic unmanned target object carrying system (AUTOCS) is developed for testing road vehicle radar and vision sensor. It is important for the target to reflect the realistic target characteristics when developing ASV or ADAS products. The AUTOCS is developed to move the pedestrian or motorcycle target for desired speed and position. The AUTOCS is designed that only payload target which is a manikin or a motorcycle is detected by the sensor not the AUTOCS itself. In order for the AUTOCS to have low exposure to radar, the AUTOCS is stealthy shaped to have low RCS(Radar Cross Section). For deceiving vision sensor, the AUTOCS has a specially designed pattern on outside skin which resembles the asphalt pattern. The AUTOCS has three driving modes which are remote control, path following and replay. The AUTOCS V.1 is tested to verify the radar detect characteristics, and the AUTOCS successfully demonstrated that it is not detected by a car radar. The result is presented in this paper.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.31-37
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• 2009

This paper casts an application of an extended fuzzy integral on the selective extraction of color clusters characterized by a particular color hue from color document images. Despite of the negative role of fuzzy integral, the presented approach attains the detection of the seals through the neighborhood information via the center of area method. The conventional fuzzy integral evaluates the negative aspects of the importance about the items by min operator, which result in the discontinuous parts of seals. In an attempt to cope with the drawback our approach considers the integral aspects via the center of area method, which results in the robustness of the images. Finally, the framework is successfully tested on a data set formed by documents from a real application for the detection.