• Honam Mathematical Journal
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• v.39 no.4
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• pp.655-663
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• 2017

In this paper we define $AP_c$ and $AP_{cc}$ spaces which are stronger than the property of approximation by points(AP). We investigate operations on their subspaces and study function theorems on $AP_c$ and $AP_{cc}$ spaces. Using those results, we prove that every continuous image of a countably compact Hausdorff space with AP is AP. Finally, we prove a theorem that every compact ${\kappa}$-WAP space is ${\kappa}$-pseudoradial, and prove a theorem that the product of a compact ${\kappa}$-radial space and a compact ${\kappa}$-WAP space is a ${\kappa}$-WAP space.

• KDI Journal of Economic Policy
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• v.39 no.2
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• pp.53-74
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• 2017

This paper focuses on the recent extraordinary growth of Chinese cross-border online shopping and draws implications for firm strategies and government policies in Korea to utilize the phenomenon as an opportunity to expand into a broader market via e-commerce exports. I conduct a survey of Chinese cross-border online consumers to identify constraining and determining factors during the stages of their purchase decisions of Korean products. Given the fact that Chinese cross-border online shopping is at the incipient stage and consumers have expressed a strong intent to repurchase, future strategies should focus on attracting new consumers. Accordingly, Korean firms should build a powerful brand image, improve product quality and post-purchase services, and take full advantage of the popularity of the Korean Wave. Meanwhile, the government must step up policy efforts by, for instance, improving e-commerce export statistics, simplifying logistics and clearance procedures, and building trust in Chinese consumers.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 2001.10a
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• pp.313-318
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• 2001

Compression molding is widely used process for the industrial forming of fiber reinforced plastic articles. Its applications are of an extreme variety and the products range from large parts, such as used in the automotive industry to much smaller objects. In this paper, distribution of fiber orientation by the image processing method for rib type compression molded products of each fiber content is measured. And the effects of fiber content, product size on the orientation state are discussed.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.511-514
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• 2000

디지털 워터마킹이란 디지털 컨텐츠의 저작권을 보호하기 위해 보이지 않는 임의의 데이터를 미디어에 삽입하는 방법이다. 본 논문에서는 주파수 영역으로 변환된 원 데이터를 임의의 방향으로 정의된 데이터와 내적(Inner Product)하여 이를 워터마크 정보에 따라 변화시키는 방법을 제안한다. 이 방법은 비밀키가 워터마크 데이터와 연관된 것이 아니기 때문에 어떠한 종류의 데이터도 삽입할 수 있다는 장점이 있다. 사용되는 비밀키는 주파수 영역으로 변환된 원 데이터와 내적되는 임의의 데이터를 만드는데 사용된다. 또한 워터마크의 견고성을 높이기 위해, 주파수 영역으로 변환된 원 데이터와 내적된 임의의 데이터는 잡음처럼 되므로 이를 인간 시각 특성을 사용하여 모델링 하였다. 제안된 방법은 원 영상 없이 워터마크를 검출할 수 있으며. 워터마크의 견고성 실험을 위해 JPEG, Cropping, Resizing. Gaussian 잡음 등을 적응하였다.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.13 no.3
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• pp.24-29
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• 2004

The grinding process plays a key role which decides the quality of a product finally. But the grinding process is very irregular, so it is very difficult to analyse the process accurately. Therefore it is very important in the aspect of precision and automation to reduce the idle time and to decide the proper dressing time by watching. In this study, we choose the method which can be observed directly by using of computer vision and then apply pattern classification technique to the method of measuring the wheel surface. Pattern classification technique is proper to analyse complicated surface image. We observe the change of the wheel surface by using of the gray level run lengths which are representative in this technique.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.04a
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• pp.3-8
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• 2004

When most manufacturing company produce grinding product operators decide grinding condition by experience and subjective judgment. The study on grinding manufacture have been developed to get the grinding condition with the same result when non-experienced or experienced worker work. The objective of this study is to develope the grinding condition and predict the result of grinding by neural network. Several discussions were made in following areas as; getting MRR with image processing, the architecture optimization of neural network with experiment design, analysis of the input neurons using sensitivity approach. The results showed that the developed approach was the best method in predicting grinding condition with respect to surface finish quality.

• Journal of the Korea Furniture Society
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• v.16 no.1
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• pp.71-80
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• 2005

A joint brand of furniture companies named Gaboro has been officially launched in the form of a juridical foundation. It was invested by Seoul City and the union members for regenerating the furniture companies in Seoul on August 1, 2003. However, Gaboro still has a few problems to overcome for successful business from joint marketing. Firstly, Gaboro must create a R&D post in order to lead the member companies through consistent production of furniture in addition to engraving its brand. Secondly, the head office of Gaboro must be authorized to prevent each union member from manufacturing the furniture products not well suited to the fresh brand. In addition, the member companies justly need to regulate the product items, and simultaneously to accept the new image concepts. Lastly, Gaboro needs to launch unique items to discriminate its design from other competitive companies.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.177-180
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• 2002

Generally, it is very difficult to inspect geometric shape of large 2D objects after machining. To maintain the accuracy for inspection, a robot vision is used to divide overall shape into several enlarged images, and image processing technique is applied to acquire one minute geometric contour. The inspection is to compare the NC data with the measured contour data by the vision system, and the algorithm is to rotate to minimize the maximum deviation coinciding two geometric centers. This paper experimentally shows that the proposed inspection algorithm is very useful fur a large machined object.

• Journal of the Korean Society for Precision Engineering
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• v.19 no.11
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• pp.112-119
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• 2002

Generally, it is very difficult to inspect geometric shape of large 2D objects after machining. To maintain the accuracy for inspection, a robot vision is used to divide overall shape into several enlarged images, and image processing technique is applied to acquire one minute geometric contour. The inspection is to compare the NC data with the measured contour data by the vision system, and the algorithm is to rotate to minimize the maximum deviation after coinciding two geometric centers. This paper experimentally shows that the proposed algorithm is very useful for inspection of large machined objects.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.249-252
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• 2005

Microphytobenthos bloom from late January to early March in Korean tidal flats. KOMPSAT-2 will provide multi-spectral images with a spatial resolution of 4 m comparable with IKONOS. Using IKONOS and Landsat data, algal mat detection was tested in the Saemangeum area~ Micro-benthic diatoms are abundant and a major primary product in the tidal flats. A linear spectral unmixing (LSU) method was applied to the test data. LSU was effective to detect algal mat and the classified algal mat fraction well correlated with NDVI image. Fine grained upper tidal flats are generally known to be the best environment for algal mat. Algal mat thriving in coarse grained lower tidal flats as well as upper tidal flats were reported in this study. A high resolution multi-spectral sensor in KOMPSAT-2 will provide useful data for long-term monitoring of microphytobenthos in tidal flats.