• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.141-142
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• 2018

본 발표문은 서두수의 Korean Literary Reader(1965)를 소개하고 영어를 중심으로 쓰인 한국문학 교과서로서의 면모를 파악하는 것을 목적으로 한다. '영어로 쓰인'이 아닌 '영어를 중심으로 쓰인'이라는 수식을 붙인 이유는 한국문학에 대한 개략적인 역사는 영어로 서술되었지만, 한글로 된 원문을 수록한 본문에서는 어렵거나 생소한 단어만 영어로 주석을 달았기 때문이다. 따라서 완전히 영어로만 서술된 한국문학 교과서라고는 할 수 없다. 하지만 Korean Literary Reader(1965)를 통해 초창기 미국-한국문학 교과서의 형태를 살필 수 있다는 점에서 의미가 있다고 하겠다. 또한 저자 서두수의 행적 안에서 미국에서 이 책을 발간한 목적 중 몇 가지를 유추하는 것으로 발표를 마친다.

• Korean Architects
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• s.485
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• pp.59-61
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• 2009

• Korean Architects
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• s.485
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• pp.62-63
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• 2009

• Korean Architects
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• s.485
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• pp.52-54
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• 2009

• Language and Information
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• v.4 no.1
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• pp.71-83
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• 2000

• Patent21
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• s.70
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• pp.31-33
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• 2006

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2893-2899
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• 2009

The study classified speech styles of shopping hosts and tried to examine how the classified speech styles have an effect on the evaluation of shopping hosts and the purchase intentions. In the evaluation of speech styles of shopping hosts, except customer-oriented confutative style, credibility, descriptive relevance, other speech styles are analyzed to have an impact on the styles. When we investigate the influential relations between speech styles proved by a theory and the evaluation of shopping hosts, the demonstrative style comes first, the expressive style is next and the descriptive follows in terms of influential power. In terms of the purchasing intention, speech styles of shopping hosts have an effect on the demonstrative and expressive types rather than the elucidative and descriptive ones. Namely, the analysis shows that the speech style which is logically persuasive and expresses the contents in detail is preferred to the descriptive and leading speech style.

• Journal of the Korean Society for Nondestructive Testing
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• v.24 no.3
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• pp.253-258
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• 2004

To get accurate information about the defect from the test signal, NDT engineers should have a good knowledge on forward problems. Such knowledge is usually obtained by a lot of testing experiences. Another why of obtaining such knowledge is to build a database containing lots of defect information and their corresponding signals. However, the archiving of raw test data would require a lot of storage space. In this paper, an economic way of storing signals is studied by using Fourier descriptors. Instead of saving raw signal data, Fourier descriptors are saved and the storage spare is reduced. Of course, the defect signal can be reconstructed from the stored descriptors. By using differential ECT signals produced by numerical modeling and experiment, the savings of 85% from the original signal and $57{\sim}65%$ from the filtered signal in the storage space were confirmed. The similarity of the reconstructed signal and the original signal was also demonstrated. This Fourier descriptor approach could contribute significantly in building differential signal databases.

• Journal of the Korean School Mathematics Society
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• v.17 no.3
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• pp.409-435
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• 2014

This study examines relations between the 5th graders' fraction operation skills and error types on constructed-response items. As results, first, the participants have lower fraction operation skills on 'multiplication of fraction' than 'addition and subtraction of fraction'. Second, the participants have different error types depend on their constructed-response items. Most of error types which group with high ability made was 'leap of solving process', both groups error type with medium ability as well as low ability is 'misunderstanding of questions'. Third, the operation skills on 'addition and subtraction of fraction' have an influence on their operation skills on 'multiplication of fraction', and error types of 'understanding of questions' and 'understanding of solving process' have the most effects on the influence.

• Journal of Korea Multimedia Society
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• v.16 no.4
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• pp.483-492
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• 2013

SURF is an algorithm which extracts feature points and generates their descriptors from input images, and it is being used for many applications such as object recognition, tracking, and constructing panorama pictures. Although SURF is known to be robust to changes of scale, rotation, and view points, it is hard to implement it in real time due to its complex and repetitive computations. Using 3.3 GHz Pentium, in our experiment, it takes 240ms to extract feature points and create descriptors in a VGA image containing about 1,000 feature points, which means that software implementation cannot meet the real time requirement, especially in embedded systems. In this paper, we present a hardware architecture that can compute the SURF algorithm very fast while consuming minimum hardware resources. Two key concepts of our architecture are parallelism (for repetitive computations) and efficient line memory usage (obtained by analyzing memory access patterns). As a result of FPGA synthesis using Xilinx Virtex5LX330, it occupies 101,348 LUTs and 1,367 KB on-chip memory, giving performance of 30 frames per second at 100 MHz clock.