Kumho Asiana Group`s Daewoo E&C Acquisition Case and Liquidity Crisis

학위논문(석사) --서울대학교 대학원 :경영학과(SNU MBA 회계학전공), 2009.2.Maste

A Study on the Application of Module Vegetation Board on the Slope-sided Artificial Ground

학위논문(석사) --서울대학교 대학원 :생태조경·지역시스템공학부(생태조경학),2007.Maste

Semantic Information Processing of Korean Words( ll)

Kim, Rhee and Cho (1984) found that the prime word pattern-masked at a 50% identification threshold facilitates lexical decision of the semantically related probe word. An experiment was run to test whether this result can be replicated at a 30% identification threshold. In order to control any substantial differences among subjects regarding associative relation between the prime and probe words, half of the subjects were asked to relearn the associative relations between words while the remaining half were given free recall learning of the probe words. Then, subjects were given a lexical decision task in which the prime was presented with or without pattern mask at the 30% identification threshold. The present experiment obtained a 30-msec associative facilitation effect, confirming the results reported by Kim et aI. Several hypotheses were examined to explain these results: the frequency hypothesis, the number of meaning hypothesis and the sophisticated guessing model. All of these explanations were found unsatisfactory and thus a new model termed cyclic information processing was proposed to explain the associative facilitation effect at 30%-50% identification thresholds and other related findings. Discussion was made on the relationship between awareness and the associative facilitation effect and on two types of visual information processing in word perception

Gesture-Based User Authentication using Feature Combination and Block-Wise Correlation Coefficients

스마트 기기의 급속한 발전에 따라 사용자 인증을 위한 매체와 기술도 다양해지고 있다. 본 논문에서는 대부분의 스마트 기기에 부착되어 있는 RGB 카메라로부터 획득되는 동작 영상으로 사용자를 인증하는 방법을 제안한다. 제안하는 방법은 통계적 특징과 영상 고유의 특징 기술자를 결합하고, 특징행렬에 대한 행과 열 단위의 상관계수를 유사도 평가에 활용함으로써 시스템의 신뢰성을 높이고, 동작 데이터의 RGB 정보만을 활용하므로 계산의 효율성과 구현의 편의성도 함께 갖추고 있다. 공용 데이터베이스를 이용한 실험을 통하여 제안하는 방법의 실용 가능성을 확인하였다. With the rapid development of the smart devices, a variety of media and technologies have been exploiting in the area of user authentication. This paper proposes a novel approach to perform user authentication, which uses gesture video signals acquired from the RGB camera of a smart device. The method combines the statistical features with the unique feature descriptors of images, and utilizes a similarity measure with the block-wise correlation coefficients of the feature matrices to increase the reliability of the system. By using only the RGB information from gesture data, the method is also sought for the computational efficiency and the ease of implementation. The experiments with a benchmark data set confirm the availability of the proposed method.2