• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.2
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• pp.69-80
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• 1999

A genetic algorithm to determine the optimal signal sequence and double cycle pattern is described. The signal sequence and double cycle pattern are used as the input for TRANSYT to find optimal signal timing at each junction in the area traffic networks, In the genetic process, the partially matched crossover and simple crossover operators are used for evolution of signal sequence and double cycle pattern respectively. A special conversion algorithm is devised to convert the signal sequence into the link-stage assignment for TRANSYT. Results from tests using data from an area traffic network in Leicester region R are given.

• ETRI Journal
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• v.25 no.2
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• pp.101-108
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• 2003

This paper proposes an improved vascular pattern extraction algorithm for person verification applications. The proposed direction-based vascular pattern extraction (DBVPE) algorithm is based on the directional information of vascular patterns. It applies two different filters to the input images: row vascular pattern extraction filter (RVPEF) for effective extraction of the abscissa vascular patterns and column vascular pattern extraction filter (CVPEF) for effective extraction of the ordinate vascular patterns. We use the combined output of both filters to obtain the final hand vascular patterns. Unlike the conventional hand vascular pattern extraction algorithm, the directional extraction approach prevents loss of the vascular pattern connectivity. To validate the DBVPE algorithm, we used a prototype system with a DSP processor. The prototype system shows approximately a three-times better false acceptance rate (FAR) than the conventional single filter algorithm.

• ETRI Journal
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• v.29 no.3
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• pp.336-352
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• 2007

Sequential pattern mining has become an essential task with broad applications. Most sequential pattern mining algorithms use a minimum support threshold to prune the combinatorial search space. This strategy provides basic pruning; however, it cannot mine correlated sequential patterns with similar support and/or weight levels. If the minimum support is low, many spurious patterns having items with different support levels are found; if the minimum support is high, meaningful sequential patterns with low support levels may be missed. We present a new algorithm, weighted interesting sequential (WIS) pattern mining based on a pattern growth method in which new measures, sequential s-confidence and w-confidence, are suggested. Using these measures, weighted interesting sequential patterns with similar levels of support and/or weight are mined. The WIS algorithm gives a balance between the measures of support and weight, and considers correlation between items within sequential patterns. A performance analysis shows that WIS is efficient and scalable in weighted sequential pattern mining.

• The Journal of Society for e-Business Studies
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• v.7 no.3
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• pp.219-240
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• 2002

The various software engineering techniques have been appeared in order to cope with the software crisis since 1980's. Currently, the research against the techniques likes the Design pattern, Component which improve the software's re-use are spread out. Also S/W Development Process are interested intensively which attempts the quality and a increasing productivity of software development with the basic policy. The design pattern is the solution against the problem which occurs repeat in a specific area. Many design pattern are developed and researched, but the method which accommodates the developed design pattern efficiently in the phase of analysis and design software development process is not good enough, so it is the actual applying technique is difficult. In this paper we suggest and the “UML components+” which is a efficient component development process from customizing EJB based the J2EE using the “UML Components” which is a component development methodology. Applying J2EE pattern efficiently with UML components+, there is a possibility of efficiency in the component development based pattern.

• Fashion & Textile Research Journal
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• v.2 no.4
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• pp.353-359
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• 2000

The purpose of this study was to develop the jacket pattern drafting method for Korean middle-aged women. The study was composed as follows : 1. Body measurement and statistical analysis : Two hundreds and forty four middle-aged women between the ages of forty five and fifty nine were measured on 52 items. 2. Development of new jacket pattern drafting method : Measurement items necessary to draft new jacket pattern were back waist length, bust girth, waist girth, hip girth, back interscye breadth, front interscye breadth, neck base girth, nipple length, nipple to nipple breadth, 1/2 posterior shoulder length and sleeve length. Basic jackets constructed from the experimental patterns were examined through the fitting test. 3. Evaluation of the new pattern drafting method : The sensory evaluations for appearance and comfort were applied to evaluate the new jacket pattern by comparing it with one of the conventional jacket patterns (Lee Hyung-Suk's). According to the result of sensory evaluation, the new jacket pattern was more positive.

• Journal of Fashion Business
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• v.6 no.5
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• pp.96-111
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• 2002

The aim of this study was to suggest appropriate factors for production pattern making of women's clothing. Sample pattern designers and production patterners of 13 women's brands were individually interviewed about pattern making process and factors necessary. The results were as follows: The factors to be considered in pattern making were categorized in three groups. 1. Factors to be considered to achieve the correct use of specific materials: elasticity, shrinkage, lining and interlining 2. Factors to be considered to satisfy the design specifications: silhouette, dart distribution, collar and sleeve, trimming 3. Factors to be considered for better sewing quality: skillfulness of the sewer, sewing methods and sewing equipment. 4. Suggestions were made for appropriate factors. A focus-group-interview in pattern design has been interviewed to verify the suggested factors. The factors were presented as a guide to develop the production pattern. 5. For better usage of the factors, standardization were suggested for making process with necessary factors for jacket, skirt.

• Korean Journal of Oriental Medicine
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• v.10 no.2
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• pp.109-119
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• 2004

The aim of this study is to confirm clinical usefulness of MCG data by analyzing korea medical results of heart disease patients. We used the Heart Disease Questionnaire which asks for Qi deficiency-pattern, Blood deficiency-pattern, Yin deficiency-pattern, Yang deficiency-pattern, Qi stasis-pattern, Blood stasis-pattern, Heart heat-pattern, Phlegm-pattern. Magnetocardiography(MCG) is the measurement of magnetic fields emitted by the human heart from small currents by electrically active cells of the heart muscle. Comparing the MCG results and korea medical diagnosis, we showed clinical usefulness of MCG results and korea medical diagnosis.

• Fashion & Textile Research Journal
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• v.13 no.3
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• pp.382-389
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• 2011

Pants is an item of clothes of which physical suitability for improvement of appearance and movement is greatly emphasized. The pattern design of pants is very important because the fitness of crotch region, which is difficult to measure, is structurally essential in pants. This study gives detailed pattern development data for the future pattern design by considering design factors related with crotch region of pants and by suggesting related data. For this study, we measured and analyzed the measuring size of each parts of pattern and the design methods related with crotch region selecting 20 textbooks used in universities and institutes of higher education. Through this study, crotch region of pants pattern related design data were obtained and this result could be a primary information in development and education of pants pattern.

• PNF and Movement
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• v.7 no.1
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• pp.25-32
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• 2009

Objective : The purpose of this study was conducted to find the change of shoulder flexion by degree of freedom between the Proprioceptive Neuromuscular Facilitation(PNF) pattern, the flexion- abduction- external rotation, and not PNF pattern, the flexion- exteral rotation(except abduction)movement. Method : PNF pattern applied on the unilateral upper extremity in all subjects were the flexion- abduction- external rotation, and not PNF pattern, and twenty-six normal subjects(13 male, 13 female) were tested by Cybex Norm Testing & Rehabilitation System. Results : PNF pattern showed significant increase of flexion than not PNF pattern, the flexion-exteral rotation(except abduction)movement, and also the female group was significantly increased than male group. Conclusion : The results suggested that the application of PNF pattern to the unilateral upper extremity had affected on the shoulder flexion by degree of freedom.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.59-66
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• 2019

According to the KT telecommunication statistics, people stayed inside their houses on an average of 11.9 hours a day. As well as, according to NSC statistics in the united states, people regardless of age are injured for a variety of reasons in their houses. For purposes of this research, we have investigated an abnormal event detection algorithm to classify infrequently occurring behaviors as accidents, health emergencies, etc. in their daily lives. We propose a fusion method that combines three classification algorithms with vision pattern, audio pattern, and activity pattern to detect unusual user events. The vision pattern algorithm identifies people and objects based on video data collected through home CCTV. The audio and activity pattern algorithms classify user audio and activity behaviors using the data collected from built-in sensors on their smartphones in their houses. We evaluated the proposed individual pattern algorithm and fusion method based on multiple scenarios.