• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.469-478
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• 2016

This paper designs an application for detecting various objects using a smart phone with camera sensor, then implements the application that detects the number of faces in front of a user by using the Face API provided by android and generates a speech to the user. For implementing the application, the GoF strategy pattern is applied to design the application. It provides some advantages; first, the algorithm development schedule can separate the whole application development schedule; next, it makes easier to add the algorithm. For example, another detecting algorithm for the other objects (character, motion detection) that may be developed in the future, or it may be replaced by a more high-performance algorithm. With the propose method, a general smart phone can make some advantages that can provide information of various objects (such as moving people and objects, and detected character from signboards) to the person who is visually impaired.

• Journal of KIISE:Software and Applications
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• v.32 no.5
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• pp.346-356
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• 2005

Over the past decade, several types of design pattern have been defined in the software engineering area. But these patterns have not been used so often compared with data structure and algorithm. Likewise, methods to select and apply design patterns during analysis, design, and development are not mentioned in CBD methodologies such as CBD96, RUP, and MaRMI III. This paper suggests the process of effectively selecting design patterns which can be applied to analysis, design, and development for development of application software with based on those offered by GoF and J2EE pattern catalogs. It also demonstrates how to effectively pattern-based software and shows differences and relative advantages from RUP by applying the suggested process to the development of aviation job application.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.149-150
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• 2008

• Proceedings of the Korean Fiber Society Conference
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• 1993.06b
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• pp.729-733
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• 1993

• Journal of the Korean Society of Costume
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• v.55 no.2 s.92
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• pp.58-69
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• 2005

The purpose of this study is to investigate types and formative characteristics of 'Seon' represented of costume in Amitabha of the late Koryo Dynasty. The results were as follows; The type of 'Seon' is classified into Standard, Decoration and Application types. According to three types, the types of the standard are subdivided into same rotor and no pattern and different color and no pattern, the types of the decoration are subdivided into same color and pattern and different color and pattern, And the types of the application are subdivided into wrinkle and beads-decorated wrinkle according to whether decorative beads exist or not. In the Standard type of Seon, same color and no pattern in the Decoration type of Seon, different color and pattern was most often used as its type while, in the applied type of Seon had its main type of beads-decorated wrinkle. Patterns used for Seon were complex in its composition type and filing in its arrangement style. Seon was used mainly for guneui(裙衣) and daeeui(大衣). The color arrangement of Seon, in most cases, used complementary colors, followed by same ones. Regarding costumes aesthetic characteristics in accordance with the type of Seon, those costumes appeared natural and plain when their Seon was same color and no pattern in type, artificial and plain when their Seon was different color and no pattern in type, natural and brilliant when same color and pattern in type and artificial and brilliant when different color and pattern. In regard to the applied type of Seon, such costumes looked sophisticated and delicate when their Seon was wrinkle in type and dynamic and decorative when beads-decorated wrinkle.

• International Journal of Control, Automation, and Systems
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• v.1 no.2
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• pp.257-261
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• 2003

In this study, we investigated the modeling and design of an Intelligent Agent System (IAS). To achieve this goal, we introduced several kinds of agents that exhibit intelligent features. These are the main agent, management agent, watcher agent, report agent and application agent. We applied the intelligent agent concept to two different application fields, i.e. the intelligent agent system for pattern classification and the intelligent agent system for bank asset management modeling.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1450-1452
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• 2009

In this work, a plastic diffuser which has a surface similar to Sinusoidal wave profile for application of LC D backlighting is proposed. This new pattern diffuser is achieved the values of the transmission efficiency an d diffusion efficiency all over 70%, and it also has the value about gain over 1.1. Additionally, this new patter n diffuser has high uniformity when we put it in the LCD backlight module and its thickness is only 2mm. With these foregoing properties, this diffuser film can widely applied to LCD displays systems etc.

• Proceedings of the IEEK Conference
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• 2001.06c
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• pp.29-32
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• 2001

In this paper, we applied the high-performance PGAP(Parallel Genetic Algorithm Processor) to recognizing rotated pattern. In order to perform this research efficiently, we used Multi-PGAP system consisted of four PGAP. In addition, we used mental rotation based on the rotated pattern recognition mechanism of human to reduce the number of operation. Also, we experimented with distinguishing specific pattern from similar coin patterns and determine rotated angle between patterns. The result showed that the development of future artificial recognition system is feasible by employing high performance PGAPS.

• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.1
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• pp.21-35
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• 2000

The purpose of this study was to evaluate the preference of image for modern application of Korean traditional patterns. A survey was conducted using the randomly selected 292 undergraduate women students of Taegu city. The degree of interest and preference in Korean traditional style or something like that had measured by 5 scale method. And then they had two groups which are interest/non-interest group, and preference/non-preference group in Korean traditional style. Also, preference of Korean traditional patterns was measured by 5 scale method. The image of Korean traditional patterns consisted of semantic differential scales. Analysis was by frequency, percentage, and mean. For difference of groups analysis was by t-test. The results were as follows:1. For the survey, 53.8% showed the interest and 40.4% did the preference for the traditional patterns. There was the positive correlation(0.782) between the degree of the interest and preference. 2. Among twenty traditional patterns, the patterns of plants and nature were very preferred, but the patterns of geometrical things was not preferred. 3. For the nature pattern, the image seemed to be elegant and feminine(womanly). For the plant pattern, the image seemed to be feminine, neat, weak, light and mild. For the animal pattern, the image seemed to be heavy, gorgeous, deluxe, virile(manly), strong and active. Last, for the geometrical pattern, the image seemed to be elegant, deluxe, rigid and strong. 4. Between the interest／non­interest groups, there was the significant difference in pattern of cloud, mountain, lotus flower, plum blossoms, orchid, dragon, chinese phoenix and bogy. Especially, for the orchid pattern, the preference difference between these groups was large. 5. For the plant pattern, the image difference between these groups was very large as the elegant-rustic image. Especially, the interest group evaluated as the elegant image. 6. Between the preference／non­preference groups, there was the strongly significant difference in the preference for the orchid pattern. 7. For the geometrical pattern, the image difference between these groups was very large as the mild­cold image. Especially, the preference groups evaluated as the cold image.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.2
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• pp.87-93
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• 1989

Squared-error Pattern Clustering algorithm used in unsupervised pattern recognition and image processing application demands substantial processing time for operation of feature vector matrix. So, this paper propose the fast squared-error Pattern Clustering Processor using the Residue Number System which have been the nature of parallel processing and pipeline. The proposed Squared-error Pattern Clustering Processor illustrate satisfiable error rate for Cluster number which can be divide meaningful region and about 200 times faster than 80287 coprocessor from experiments result of image segmentation. In this result, it is useful to real-time processing application for large data.