• Proceedings of the KIEE Conference
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• 2006.04a
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• pp.3-5
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• 2006

Recent advances in the internet infrastructure have resulted in a large number of huge Web sites and portals worldwide. These Web sites are being visited by various types of users in many different ways. Among all the web page access sequences from different users, some of them occur so frequently that may need an attention from those who are interested. We call them frequent access patterns and access sequences that can be frequent the candidate patterns. Since these candidate patterns play an important role in the incremental Web mining, it is important to efficiently generate, add, delete, and search for them. This thesis presents a novel tree structure that can efficiently store the candidate patterns and a related set of algorithms for generating the tree structure adding new patterns, deleting unnecessary patterns, and searching for the needed ones. The proposed tree structure has a kind of the 3 dimensional link structure and its nodes are layered.

• Korean Institute of Interior Design Journal
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• no.28
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• pp.140-148
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• 2001

The purpose of this thesis is to provide basic information of efficient flow line arrangement, which results from examining the factors of route choice with a focus on the store' space elements and pedestrian activity patterns in the outlets. The route tracking is applied to grasp pedestrian activity patterns, therefore, a concrete analysis into influential factors of the space structure arrangement and forms on route choice. The route tracking is a means to understand pedestrian activity patterns by establishing an unrecognizable space and examining every route in the investigating area for pedestrian activity pattern research. Three sample stores have different systems in the ground plan structures, the escalator location and the directions. The analysis focuses on the booth arrangement and shopping patterns. In conclusion, route choice of the customers and the structure of the space are quite closely related and affect the quality of shopping. This can suggest evidence for the need of the space structure to meet the pedestrian activity patterns.

• Korea Journal of Hospital Management
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• v.23 no.3
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• pp.63-71
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• 2018

The purpose of this study is to explore how the organizational structure of hospitals affects the pattern of conflicts between human resources at hospitals and then to present basic data necessary for conflict resolution. Research data were collected from the personnel of 14 hospitals in P city in Korea. The findings of the study are summed up as follows. First, administrative workers and with fewer years of service thought of the organizational structure as organic. Second, organizational conflict was found to be higher in those at older ages, with more years of service and in middle management positions. Next, as for conflict patterns between occupation types, nurses showed more conflicts with doctors and administrative workers, while administrative workers and public health personnel had more conflicts with nurses. Last, of the organizational structure factors, 'Subdivision of work,' 'Decision making method,' 'Opinion collection process,' 'Codification of responsibilities and rights' and 'Documentation of duties' were found to have negative effects on conflict patterns. Therefore, the findings imply that for decrease in organizational conflicts, hospitals need to be reorganized to have a more organic structure and take such differentiated measures for conflict resolution that consider characteristics of human resources, such as one's age, years of service and position.

• Journal of the Korea Furniture Society
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• v.28 no.2
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• pp.126-134
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• 2017

This study explores PyeongSang, a piece of traditional Korean furniture, in order to make people know the details about what the piece is in the first paper. And based on the paper, PyeongSang will be developed as moulded multi-useful beds and sofas adapting the joint and ornament from the structure and pattern of the piece in the next paper. As the result, it appeared as two styles such as bed types mentioned as SalPyeongSang and ttulmaru in Korean. The pieces have been used from the three Kingdoms period in Korean history. The styles appeared as the structure of four parts with the lower fences called as nangan, the seats jointed by thin wood pieces, the wind hole, and the legs of foot types. The parts were beautifully carved with the ornament such as lattice patterns like geokjamun and manjamun, flower patterns like dangchomun, elephant eyes patterns like ansangmun from the Korean tradition. And the legs showed various shapes such as supports transformed from horse foots, tiger legs and bamboo, and board types carved with elephant eyes and geometric patterns. Hence, in the next paper based on this paper, PyeongSang will be developed as moulded multi-useful beds and sofas adapting the joints and ornaments from the structure and patterns of the piece.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.111-114
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• 1997

Usually, Evolutionary Algorithms are considered more efficient for optimal system design, However, the performance of the system is determined by fitness function and system environment. In this paper, in order to overcome the limitation of the performance by this factor, we propose a co-evolutionary method that two populations constantly interact and coevolve. In this paper, we apply coevolution to neural network's evolving. So, one population is composed of the structure of neural networks and other population is composed of training patterns. The structure of neural networks evolve to optimal structure and, at the same time, training patterns coevolve to feature patterns. This method prevent the system from the limitation of the performance by random design of neural network structure and inadequate selection of training patterns. In this time neural networks are trained by evolution strategies that are able to apply to the unsupervised learning. And in the coding of neural networks, we propose the method to maintain nonredundancy and character preservingness that are essential factor of genetic coding. We show the validity and the effectiveness of the proposed scheme by applying it to the visual servoing of RV-M2 robot manipulators.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.1
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• pp.71-79
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• 2007

Recent advances in the internet infrastructure have resulted in a large number of huge Web sites and portals worldwide. These Web sites are being visited by various types of users in many different ways. Among all the web page access sequences from different users, some of them occur so frequently that may need an attention from those who are interested. We call them frequent access patterns and access sequences that can be frequent the candidate patterns. Since these candidate patterns play an important role in the incremental Web mining, it is important to efficiently generate, add, delete, and search for them. This thesis presents a novel tree structure that can efficiently store the candidate patterns and a related set of algorithms for generating the tree structure, adding new patterns, deleting unnecessary patterns, and searching for the needed ones. The proposed tree structure has a kind of the 3 dimensional link structure and its nodes are layered.

• 제어로봇시스템학회:학술대회논문집
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• 1990.10b
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• pp.929-932
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• 1990

This paper considers the problem of patterns recognition using the artificial neural network systems. The artificial neural network systems provide an effective tool for classifying patterns and/or characters by learning them in a certain repeated hashion. The mechanism of the learning process and the structure of neural network systems used are main concerns in the accurate and fast classification of the patterns which are slightly different each other. The neural network system employed in this study has three layers structure which is composed of input, intermidiate, and output layers. Our main concern is to develope an effective learning mechanism how to learn the patterns fastly and accurately. The experimental study performed shows that there exists an effective learning method to get higher recognition ratio in classifying the several different patterns by artificial neural network system constructed.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.34D no.10
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• pp.32-38
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• 1997

A characteristic mode analysis of parallel-plate waveguide with finite number of slot as a leaky wav eantenna structure is considered for calculating the characteristics currents, the characteristic patterns, radiatin patterns, and the complex propagation constants. For the cases of 1, 11 and 29 slots, numericl resutls for the equivalent magnetic currents, the radiatin patterns, and thecomplex propagation constants are computed and compared with those obtained by use of the conventional method of moments. Good correspondence between them is observed.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.123.4-123
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• 2001

This paper explains the walking robot with 4 legs. One leg is composed of 4 dc server motors and have 4 d.o.f. This walking robot has simple structure using "the principle of lever". The structure of robot models the 4 legs´ animal such as dog. The walking patterns is various and complex. With inspecting the walking dogs, the walking motions implemented by patterns. The center of mass is important of this type robot. The significant issue of walking is weight. As the weight is lighter, so the robot well walks. The method of walking is patterns.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.41 no.5
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• pp.50-58
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• 2009

Periodic variation of local paper structure was evaluated using two-dimensional fast Fourier transform (FFT) and spectral analysis. Since the periodic variation could originate from various sources and have different magnitudes and patterns depending on the origins, a complete analysis of local paper structure properties such as local grammage, local thickness, local apparent density and surface topography was proposed in this study. For a commercial copy paper, the individual periodic patterns for each local structural property were identified by using inverse FFT spectrums of the filtered spectrum. The spectral analysis of newsprint sample provided the period of variation quantitatively, which was useful in comparing the origins of the individual periodic patterns of the local structural properties.