• Proceedings of the KIEE Conference
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• 2004.05a
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• pp.92-94
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• 2004

We become an industry information society which is advanced to the altitude with the today. The information to be loading various goods each other together at a circumstance environment is increasing extremely. The restriction recognizes the data of many Quantity and it follows because the human deals the task to classify. The development of a mathematical formulation for solving a problem like this is often very difficult. But Artificial intelligent systems such as neural networks have been successfully applied to solving complex problems in the area of pattern recognition and classification. So, in this paper a neural network approach is used to recognize and classification problem was broken into two steps. The first step consist of using a neural network to recognize the existence of purpose pattern. The second step consist of a neural network to classify the kind of the first step pattern. The neural network leaning algorithm is to use error back-propagation algorithm and to find the weight and the bias of optimum. Finally two step simulation are presented showing the efficacy of using neural networks for purpose recognition and classification.

• Proceedings of the ESK Conference
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• 1996.10a
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• pp.197-205
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• 1996

Unification of neural network with a hierarchical pattern recognition is presented for recognizing large set of objects. A two-step identification procedure is developed for pattern recognition: coarse and fine identification. The coarse identification is designed for finding a class of object while the fine identification procedure is to identify a specific object. During the training phase a course neural network is trained for clustering larger set of reference objects into a number of groups. For training a fine neural network, expert neural network is also trained to identify a specific object within a group. The presented idea can be interpreted as two step identification. Experimental results are given to verify the proposed methodology.

• Journal of Sasang Constitutional Medicine
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• v.23 no.3
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• pp.294-303
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• 2011

1. Objectives: The purpose of this study is to develop the algorithm, which can help clinicians diagnose Soyangin's symptomatology, based on the indexes for energy and fluid and those for nutrient material. 2. Methods: The items of "Donguisusebowon(東醫壽世保元)" were analysed to figure out the inevitable and sequential indexes of Soyangin's symptomatology diagnosis, in order of exterior-interior pattern differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation. 3. Results and Conclusions: 1) 1st step: Soyangin's exterior pattern and interior pattern are differentiated in terms of heat and cold, respectively. Aversion to cold and feces are used to confirm the difference. 2) 2nd step: The existence of diarrhea is used to find out that an exterior pattern is with or without favor, while the indexes of back cold, skinniness of thigh-knee and turbid urine are used to identify an interior pattern with or without favor. 3) 3rd step: The favorably exterior-heat pattern can be either mild or severe by the indexes of stuffiness/rigidity/pain below the heart and digestion, while the unfavorably exterior-heat pattern can be either dangerous or urgent by the ones of cold-heat and specific pain. And, the favorably interior-cold pattern can be either mild or severe mainly by feces and subsidiarily by delirious speech and digestion, while the unfavorably interior-cold pattern can be either mild or severe by afternoon tidal fever and vomiting.

• Journal of Sasang Constitutional Medicine
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• v.23 no.1
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• pp.33-43
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• 2011

1. Objectives: This study is aimed to develop the algorithm, which can help clinicians diagnose Soeumin's symptomology, based on the indexes such as dry mouth, water drinking, sweat, urine, appetite, digestion, and stool, etc. 2. Methods: This research analyzes the items of "Donguisusebowon(東醫壽世保元)" to reveal the inevitable and sequential indexes of Soeumin's symptomology diagnosis, in order of exterior-interior pattern differentiation, favorable-unfavorable pattern differentiation, and mild-severe-dangerous-urgent pattern differentiation. 3. Results and Conclusions: 1) 1st step: Soeumin's exterior pattern and interior pattern are differentiated in terms of heat and cold, respectively. Stool and digestion are used to confirm the difference. 2) 2nd step: The existence of sweat is used to find out that an exterior pattern is with or without favor, while the indexes of stool, dry mouth, and generalized pain are used to identify an interior pattern with or without favor. 3) 3rd step: The favorably exterior-heat pattern can be either mild or severe by the indexes of cold-heat, stool, tidal fever, and manic raving, panting and straight looking, while the unfavorably exterior-heat pattern can be either dangerous or urgent by the ones of cold-heat, stool, and urine. And, the favorably interior-cold pattern can be either mild or severe by the indexes of stuffiness and fullness, jaundice, and edema, while the unfavorably interior-cold pattern can be either mild or severe by the ones of vexation level.

• The Journal of Internal Korean Medicine
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• v.37 no.6
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• pp.990-997
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• 2016

Objectives: This study observed changes in gait pattern according to the motor grade of the paretic lower limb in patients with basal ganglia stroke who are in the subacute phase. Methods: We used the Manual Muscle Test (MMT) to evaluate the motor grade of the paretic lower limb of 21 patients with subacute basal ganglia stroke and then divided them into two groups based on the MMT results. Stroke patients with a motor grade above Gr. III were put in group I (15 people) and those with a grade less than Gr. III in group II (6 people). We also estimated spatiotemporal factors using treadmill gait analysis equipment. The values were gait velocity, step length, step time, double support phase, and cadence. The first measure was conducted during the early period of admission and the second was between four and five weeks after admission. Results: In Group I, the gait velocity and step length of both legs significantly increased. In Group II, the step length and step time of the paretic side and the gait velocity tended to decrease, but not significantly. The step length of the paretic side in Group II was significantly longer than that in Group I at the first measure. The step time of the paretic side in Group I was significantly shorter than that in Group II and gait velocity and cadence in Group I were significantly higher than in Group II at the second measure. Conclusions: The gait parameters of all stroke patients improved in terms of time. In addition, the changes in gait pattern were different depending on the motor grade of the paretic lower limb.

• Journal of Korean Home Economics Education Association
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• v.4 no.1
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• pp.1-15
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• 1992

The aim of the research is to develop a PC based courseware which is programed to drafts clothing patterns. The pattern making are numerically formulized. The of the program were as follows；1. Menu and instructions are displayed in Korean Language. 2. Easy step-by-step instructions explaining how to draw basic pattern and design pattern. 3. Low cost personal computer and general purpose printer are used. The source program was written in C-language and compiled using Turbop C. The Bezier spline is used to draw curves of pattern and to display Korean characters and pattern on same screen simultaneoulsy, Korean characters are drawn graphically. The low cost IBM Personal Computer or compatibles with Hercules Graphic Card is required to run this grogram.

• Journal of Electrical Engineering and Technology
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• v.10 no.5
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• pp.2142-2148
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• 2015

This paper proposes novel real-time footstep planning and following methods for the navigation of humanoid robots. A footstep command is defined by a walking direction and step lengths for footstep planning. The walking direction is determined by a uni-vector field navigation method, and the allowable yawing range caused by hardware limitation is considered. The lateral step length is determined to avoid collisions between the two legs while walking. The sagittal step length is modified by a binary search algorithm when collision occurs between the robot body and obstacles in a narrow space. If the robot body still collides with obstacles despite the modification of the sagittal step length, the lateral step length is shifted at the next footstep. For footstep following, a walking pattern generator based on a 3-D linear inverted pendulum model is utilized, which can generate modifiable walking patterns using the zero-moment point variation scheme. Therefore, it enables a humanoid robot to follow the footstep command planned for each footstep. The effectiveness of the proposed method is verified through simulation and experiment.

• Journal of the Korean Home Economics Association
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• v.47 no.2
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• pp.111-123
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• 2009

This study is to explore the usability of a pattern making software 'Looks tailor X' developed recently by the Digital Fashion in line with the cloth simulation software 'DressingSim'. When the software engineers develop software for clothes and clothing simulations, most often they lose touch of real-world craftsmanship of pattern making. As such, the software evaluation of the functionality and the usability is a crucial step in the field of virtual clothing. We carried out a detailed evaluation of the software via the process of making some basic types of pattern including tight skirts, pants, jackets, and one-piece dress. In this paper, we documented a step-by-step scenarios of making clothes using the Looks tailor X, and listed both the advantages and limitations of the software from the perspective of an enduser, i.e., a professional fashion designer. We also briefed suggestions on the refinement of the future software in the field.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.228-236
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• 2014

Towed array SONAR is deformed because it operates in fluid such as an ocean. It especially undergoes significant change in shape as a towing vessel takes a turn. In this case, beam pattern synthesis of the line array is limited, resulting in degradation in quality such as signal-to-noise ratio. This paper presents a modified two-step least squares algorithm based on the two-step least squares method. The shape of the sea-operated line array formation with the towing vessel changing course(angle) was modeled and the algorithm was subsequently applied. While changing course and location of the main lobe in beam pattern was altered, signal-to-noise ratio of steering beam pattern synthesis was analyzed by algorithm (proposed and others). As a result, the proposed algorithm presented improvement in performance by 2dB compared to other algorithms while forming relatively constant beam pattern.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.235-242
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• 2006

Many researches have achieved to reuse existent experience at each step of software life cycle. It is achieved various study about Design Pattern serving that abstract level solves design problem at high level. But, design step is not supplying design information that is abstracted so that new designers may reuse standardizing defined good design information. Therefore, in this paper, to do so that can reuse existent design information because composes Design Pattern can solve problem at design step, and extend design information that also is standardized XMI to base meta model of Design Pattern. And I did so that can compose Design Pattern utilizing MetaModel of Design Pattern standardized by XMI. Therefore, software designer can reuse composing existent design information that is could standardize problem at design because uses MetaData of standardized Design Pattern, and designs by Design Pattern base.