• International Journal of Advanced Culture Technology
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• v.7 no.4
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• pp.229-235
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• 2019

Due to the development of video and optical technology today, video equipments are being used in a variety of fields such as identification, security maintenance, and factory automation systems that generate products. In this paper, we investigate an algorithm that effectively recognizes an experimental object in an input image with a partial problem due to the mechanical problem of the input imaging device. The object recognition algorithm proposed in this paper moves and rotates the vertices constituting the outline of the experimental object to the positions of the respective vertices constituting the outline of the DB model. Then, the discordance values between the moved and rotated experimental object and the corresponding DB model are calculated, and the minimum discordance value is selected. This minimum value is the final discordance value between the experimental object and the corresponding DB model, and the DB model with the minimum discordance value is selected as the recognition result for the experimental object. The proposed object recognition method obtains satisfactory recognition results using only partial information of the experimental object.

• Journal of Korea Multimedia Society
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• v.17 no.10
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• pp.1141-1149
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• 2014

Recently, various methods to effectively eliminate the noise are researched in image processing techniques. However, the conventional noise filtering techniques, which remove most of the noise, are less efficient for remained noise detection after filtering due to exploiting no face feature information. In this paper, we proposed a feature vector generation technique in the mouth region by distinguishing and revising the remained noise through gradient correction, when the outline is extracted after performing noise filtering.

• International Journal of Advanced Culture Technology
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• v.7 no.3
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• pp.134-142
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• 2019

As the 4th industry has been widely distributed, there is a need for a process of real-time image recognition in various fields such as identification of company employees, security maintenance, and development of military weapons. Therefore, in this paper, we will propose an algorithm that effectively recognizes a test object by comparing it with the DB model. The proposed object recognition system first expresses the outline of the test object as a set of vertices with the distances of predefined length or more. Then, the degree of matching of the structures of the two objects is calculated by examining the distances to the outline of the DB model from the vertices constituting the test object. Because the proposed recognition algorithm uses the outline of the object, the recognition process is easy to understand, simple to implement, and a satisfactory recognition result is obtained.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1994.03a
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• pp.109-117
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• 1994

This paper describes a method and a system for automatic generation of flanged cylinderical deep drawing process outlines. A process outline is a sequence of operation leading from the blank to the required finished part. The input is the dimension of final product and the output is the effective process outline to manufacture the product. That system is programmed by PROLOG language and is composed of facts and rules of manufacturing knowledge hierarchically.

• Proceedings of the KSR Conference
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• 1998.05a
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• pp.221-232
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• 1998

This paper introduces the outline of the ongoing G-7 project for the development of vibration and noise analysis and reduction technology for the Korea High Speed Train which will run at 350km/h. Extensively collected materials and data on the vibration and noise characteristics of high speed trains are summarized herein to reduce the research direction.

• Water for future
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• v.9 no.2
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• pp.41-44
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• 1976

• Journal of the korean veterinary medical association
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• v.40 no.8
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• pp.708-716
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• 2004

• KOREAN POULTRY JOURNAL
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• v.3 no.5 s.19
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• pp.27-31
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• 1971

• KOREAN POULTRY JOURNAL
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• v.3 no.7 s.21
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• pp.92-95
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• 1971

• The tire
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• s.225
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• pp.64-76
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• 2005