• Journal of Internet Computing and Services
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• v.5 no.6
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• pp.1-10
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• 2004

A web robot is a software that has abilities of tracking and collecting web documents on the Internet(l), The performance scalability of recent web robots reached the limit CIS the number of web documents on the internet has increased sharply as the rapid growth of the Internet continues, Accordingly, it is strongly demanded to study on the performance scalability in searching and collecting documents on the web. 'Design of web robot based on Multi-Agent to speed up documents collection ' rather than 'Sequentially executing Web Robot based on the existing Fork-Join method' and the results of analysis on its performance scalability is presented in the thesis, For collection speedup, a Multi-Agent based web robot performs the independent process for inactive URL ('Dead-links' URL), which is caused by overloaded web documents, temporary network or web-server disturbance, after dividing them into each agent. The agents consist of four component; Loader, Extractor, Active URL Scanner and inactive URL Scanner. The thesis models a Multi-Agent based web robot based on 'Amdahl's Law' to speed up documents collection, introduces a numerical formula for collection speedup, and verifies its performance improvement by comparing data from the formula with data from experiments based on the formula. Moreover, 'Dynamic URL Partition algorithm' is introduced and realized to minimize the workload of the web server by maximizing a interval of the web server which can be a collection target.

• Structural Engineering and Mechanics
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• v.16 no.5
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• pp.581-595
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• 2003

Since the conventional direct approaches are hard to be applied for damage diagnosis of complex large-scale structures, a two-step approach for diagnosing the joint damage of framed structures is presented in this paper by using artificial neural networks. The first step is to judge the damaged areas of a structure, which is divided into several sub-areas, using probabilistic neural networks with natural Frequencies Shift Ratio inputs. The next step is to diagnose the exact damage locations and extents by using the Radial Basis Function (RBF) neural network with the second Element End Strain Mode of the damaged sub-area input. The results of numerical simulation show that the proposed approach could diagnose the joint damage of framed structures induced by earthquake action effectively and has reliable anti-jamming abilities.

• Journal of the Korean Home Economics Association
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• v.29 no.2
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• pp.47-53
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• 1991

A. niger H-18 and A. fumigatus E-29 wrer selected for their strong abilities to produce cellulase. The λd numerical values of the cotton fabrics inoculated with A. niger H-18 and A. fumigatus E-29 were 580 nm for the both strains of molds. By the growth of molds, lightness, original color scale, and grey scale of the fabrics gradually decreased while chroma increased. The minimum inhibitory concentrations of mold-proofing agents, such as Leperon WL, 8-hydroxyquinoline copper acetate, trimethylol melamine and dimethyl ethylene urea was 50 ppm. Glycoxale was not effective at the above mentioned concentration. Since Leperon WL, trimethylol melamine and dimethyl ethylene urea effectively inhibited the growth of A. niger H-18 and A. fumigatus E-29, tensile strength and elongation of the fabrics were not changed. however, cotton fabrics treated with glycoxale of the fabrics were not changed. However, cotton fabrics treated with glycoxale and inoculated with A. niger H-18 and A. fumigatus E-29 showed decreased in tensile strength by 31.1% and 33.9%, respectively.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.295-298
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• 1995

We performed a research to improve the performance of active bar model which is used in tracking algorithm. Active bar model is a simplified model of snake model. If we used the sctive bar model, the numerical procedure for real time tracking problem can be carried out faster than snake model. However the demerit of active bar algorithms is that we can't used the provious image data because each time it has to reconstruct the active bar. In this paper we proposed advanced algorithm for active bar model. The proposed model can improve tracking abilities by preserving the active bar during the process and changing the energy functional.

• Journal of the Korean Home Economics Association
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• v.31 no.2
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• pp.213-219
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• 1993

Aspergillus fumigatus(AF) and Penicillum citrinum(PC) were selected for their strong abilities to produce protease. The result are summarized as follows; 1. The λd numerical values of the silk fabrics with AF and PC were 560 and 580 nm for the both stains of molds. 2. By the growth of molds, lightness, original color scale, and grey scale of the fabrics gradually decreased while chroma increased. 3. The minimum inhibitory concentrations of mold proofing agents, such as Leperon WL, 8-hydroxyquinoline copper acetates, trimethylol melamine and dimethly ethylene urea was 50 ppm. 4. Glycoxale was not effective at the abovely concentration. Since Leperon WL, dimethyl ethylene urea effectively inhibited the growth of PC silk, tensile strengh and elongation of the fabrics were not changed.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.370-370
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• 2000

In this paper, we design a Multi-Fuzzy model by means of HCM clustering and genetic algorithms for a nonlinear system. In order to determine structure of the proposed Multi-Fuzzy model, HCM clustering method is used. The parameters of membership function of the Multi-Fuzzy ate identified by genetic algorithms. A aggregate performance index with a weighting factor is used to achieve a sound balance between approximation and generalization abilities of the model. We use simplified inference and linear inference as inference method of the proposed Multi-Fuzzy mode] and the standard least square method for estimating consequence parameters of the Multi-Fuzzy. Finally, we use some of numerical data to evaluate the proposed Multi-Fuzzy model and discuss about the usefulness.

• East Asian mathematical journal
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• v.27 no.2
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• pp.141-161
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• 2011

This research is a laboratory study for the improvement of differential equation class, and the aim of this study is to propose the possibilities of applicable writing activities for differential equation courses in university. We analyzed how the writing activities can affect the improvement of abilities of the students' affective domain and cognitive domain. Although the results from the two areas did not show a big numerical improvements it proved that the writing activities have positive effects, especially for the group of lower level students. The students felt interested and became more confident with differential equation studies. Their understanding of the study has been increased further by acquiring new learning methods, including writing activities. Therefore, we conclude that teaching and learning method designed systematically to adopt writing activities improve the students' learning attitudes and achievements.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3004-3006
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• 2000

In this paper, we propose an optimal design method of Fuzzy-Neural Networks model with parallel structure for complex and nonlinear systems. The proposed model is consists of a multiple number of FNN connected in parallel. The proposed FNNs with parallel structure is based on Yamakawa's FNN and it uses simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rules. We use a HCM clustering and GAs to identify the structure and the parameters of the proposed model. Also, a performance index with a weighting factor is presented to achieve a sound balance between approximation and generalization abilities of the model. To evaluate the performance of the proposed model. we use the time series data for gas furnace and the numerical data of nonlinear function.

• Journal of the Semiconductor & Display Technology
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• v.12 no.2
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• pp.93-98
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• 2013

Nanoimprint lithography (NIL) is a next generation technology for fabrication of micrometer and nanometer scale patterns. There have been considerable attentions on NIL due to its potential abilities that enable cost-effective and high-throughput nanofabrication to the display device and semiconductor industry. To successfully imprint a nanosized pattern with the thermal NIL, the process conditions such as temperature and pressure should be appropriately selected. This starts with a clear understanding of polymer material behavior during the thermal NIL process. In this paper, a filling process of the polymer resist into nanometer scale cavities during the thermal NIL at the temperature range, where the polymer resist shows the viscoelastic behaviors with consideration of stress relaxation effect of the polymer. In the simulation, the filling process and the residual layer formation are numerically investigated. And the effects of pressure and temperature on NIL process, specially the residual layer formation are discussed.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2669-2671
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• 2001

In this paper, we propose design a Multi-Fuzzy Inference model structure. In order to determine structure of the proposed Multi-Fuzzy Inference model, HCM clustering method is used. The parameters of membership function of the Multi-Fuzzy are identified by genetic algorithms. A aggregate performance index with a weighting factor is used to achieve a sound balance between approximation and generalization abilities of the model. We use simplified inference and linear inference as inference method of the proposed Multi-Fuzzy model and the standard least square method for estimating consequence parameters of the Multi-Fuzzy. Finally, we use some of numerical data to evaluate the proposed Multi-Fuzzy model and discuss about the usefulness.