• The Research Journal of the Costume Culture
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• v.20 no.5
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• pp.775-781
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• 2012

There are various kinds of patterns on Li brocade textile of Hainan province in China. Those patterns are rich and colorful. Li (黎族) traditional brocade is an ancient exquisite craftsmanship and a world cultural heritage. This study analyzed and categorized Li brocade pattern of traditional Chinese textiles. Li (黎族) traditional brocade is an ancient exquisite craftsmanship. Based on the research of classifications of Li brocade patterns, expound the application of women's costume. The patterns of Li brocade textile of Hainan province analyzed through three levels: design transforming, meaning prolongation, and refining spirit. The patterns were explored the feasibility way to inherit the patterns of Li brocade for the modern fashion product design. The results showed that Li brocade textile pattern of Hainan province were images sourced from local environment and geographical terrain. They contained the nation's history memory, religion, hope for life of the Li nationality. Those patterns can be categorized as human figure pattern, animal pattern, geometric pattern, appliance or architecture pattern, and Chinese character pattern.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2249-2251
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• 1998

This paper presents a lip print recognition by the pattern kernels for a personal identification. A lip print recognition is developed less than the other physical attribute that is a fingerprint, a voice pattern, a retinal blood-vessel pattern, or a facial recognition. A new method by the pattern kernels is pro for a lip print recognition. The pattern kerne function consisted of some local lip print p masks. This function identifies the lip print known person or an unknown person. The results show that the proposed algorithm the pattern kernels can the efficiently realized.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.291-296
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• 2014

Most notices on local tax are perceived to be confusing, often leading to a negative feeling towards user due to the complex content and excessive information included in the tax forms. Several local governments have redesigned their notice forms in order to resolve these issues. Therefore I conducted an in-depth analysis of user experiences in regards to the issues posed by the design of the tax notice form so as to offer a basic set of data that can be used to improve the user experience and increase their understanding of the tax form.

• Korean Institute of Interior Design Journal
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• v.20 no.6
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• pp.53-61
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• 2011

As the standard of living has raised and the local self-governing body has enforced, cultural facilities have been increased in local areas. These cultural facilities should be designed to consider various users. However, most facilities were designed to focus on size or visual expressions. Therefore, this study was intended to evaluate common spaces of two cultural centers in local area from the universal design point of view. Two cultural centers located in large apartment complex were selected. The evaluating tool consisted of 46 elements related to universal design. The common space were pathway to entrance, parking lot, entrance, all over building, corridor, and restroom. Each 100 users of these two cultural centers evaluated them using by 5-point Likert scale. The results were as follows; The users rated them positively, but not highly. This means that some improvement were needed. Generally, the consideration for upgrading the quality of design such as material, pattern and color needed, and for various users including wheelchair users and seniors were needed. Also, when considering the users' behavior pattern and purposes, installing canopy over entrance, and providing seating places at corridor or pathway were needed.

• Journal of Global Scholars of Marketing Science
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• v.15 no.2
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• pp.203-225
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• 2005

The purpose of this study is to supply basic marketing information and establish marketing strategy on local market by analyzing related using behavior of lifestyle type and buying behaviour of local residents. On this viewpoint, we focused on identifying the lifestyle, shopping behaviour, and media usage pattern. For this research, we surveyed consumers living in Jecheon city and analyzed questionnaires by multivariate statistical analysis. Through empirical analysis, we derived overall lifestyle profiles including demographic traits, media usage, leisure pattern in each lifestyle types and marketing implications.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.7
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• pp.86-92
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• 2015

This study proposes new LDP code to improve facial expression recognition rate by including local directional number(LDN), edge magnitudes and differences of neighborhood edge intensity. LDP is less sensitive on the change of intensity and stronger about noise than LBP. But LDP is difficult to express the smooth area without changing of intensity and if background image has the similar pattern with a face, the facial expression recognition rate of LDP is low. Therefore, we make the LDP code has the local directional number and the edge strength and experiment the facial expression recognition rate of changed LDP code.

• International Journal of Air-Conditioning and Refrigeration
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• v.10 no.4
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• pp.177-183
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• 2002

A pulsed tracer gas technique is applied to measure the distributions of local mean age and local mean residual-life-time of air in a half-scale experimental chamber, The airflow patterns in the chamber are visualized by a Helium bubble generator for three different exhaust locations. A supply slot is located at the top of a right wall, and an exhaust slot is at either bottom-left (Case 1), bottom-right (Case 2), or top-left (Case 3) location. Results show that the distributions of local mean age and local mean residual-life-time are different from each other, but both of them are closely related to the airflow pattern in the space. Included are discussions on explaining the variations of overall room ventilation effectiveness depending upon airflow rates for three different supply-exhaust configurations.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.135-153
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• 2018

E-Card Service for Child Nutrition Program is one of the main public policy services nowadays. In case of inconvenience during the use of the e-cards, it is recommended to cooperate with related organizations in order to promptly handle and provide guidance, and thoroughly manage child feeding service such as hygiene, nutrition and kindness etc. To do so, it is very important to provide food service that meets local actual conditions and children's needs in a cost effective manner for the underage who are worried about the poorly-fed by understanding the pattern of child feeding e-card service. Hence. this paper aims to investigate how child feeding e-card service efficiently provides meals according to the local situation and children's needs through big data analysis and to propose a method of identifying welfare conditions according to the purpose of service with actual application examples. The results suggest that, first of all, this study is able to judge appropriateness of public institution's policy in a timely and repetitive manner through non-standard data analysis such as Naver News and transaction data. Secondly, this paper proposes a multi-layered analysis framework, which performs online open data analysis to detect policy issues, visualizes retrieval and preprocessing of real data, and performs abnormal pattern recognition. These will be worthy of reference to other similar projects.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.9
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• pp.1541-1550
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• 2016

In this paper, we introduce a novel learning methodology of fuzzy clustering-based neural network pattern classifier. Fuzzy clustering-based neural network pattern classifier depicts the patterns of given classes using fuzzy rules and categorizes the patterns on unseen data through fuzzy rules. Least squares estimator(LSE) or weighted least squares estimator(WLSE) is typically used in order to estimate the coefficients of polynomial function, but this study proposes a novel coefficient estimate method which includes advantages of the existing methods. The premise part of fuzzy rule depicts input space as "If" clause of fuzzy rule through fuzzy c-means(FCM) clustering, while the consequent part of fuzzy rule denotes output space through polynomial function such as linear, quadratic and their coefficients are estimated by the proposed local least squares estimator(LLSE)-based learning. In order to evaluate the performance of the proposed pattern classifier, the variety of machine learning data sets are exploited in experiments and through the comparative analysis of performance, it provides that the proposed LLSE-based learning method is preferable when compared with the other learning methods conventionally used in previous literature.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1256-1259
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• 2002

In this paper, we have proposed license plate recognition system for multi-national vehicle license plate using geometric features along with hybrid and seven segment pattern vectors. In the proposed system, we suggested to find horizontal and vertical relation after going through preparation process with inputted real-time license plate image of Korea and Japan, and then to classify license plate with using characteristic and geometric information of license plates. It classifies the extracted license plate images into letters and numbers, such as local name, local number, classification character and license consecutive numbers, and recognize license plate of Korea and Japan by applying hybrid and seven segments pattern vectors to classified letter and number region. License plate extraction step of the proposed system uses width and length information along with relative rate of Korean and Japanese license plate. Moreover, it exactly segmentation by letters with using each letter and number position information within license plate region, and recognizes Korean and Japanese license plates by applying hybrid and seven segment pattern vectors, containing characteristics related to letter size and movement within segmented letter area. As the result of testing the proposed system in real experiment, it recognized regardless of external lighting conditions as well as classifying license plates by nations, Korea and Japan. We have developed a system, recognizing regardless of inputted structural character of vehicle licenses and external environment.