• Journal of Korean Institute of Industrial Engineers
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• v.14 no.1
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• pp.31-42
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• 1988

This paper studies class-based turnover assignment rule in terms of the expected travel time in automated storage/retrieval systems (AS/RS). With the rack face not necessarily in square in time, travel time models of two and three-class systems are developed, from which class partition values are determined for single command cycle. Also, the effects of the system parameters such as the rack shape factor and the skewness of the ABC curve are evaluated on the travel time through example problems.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.11
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• pp.1365-1373
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• 1995

In this paper, we address the issues related to storage and retrieval of continuous media (CM)data we face in designing multimedia on-demand (MOD) storage servers. To support the two orthogonal factors of MOD server design, i.e., storage and retrieval of CM data, this paper discusses the techniques of disk layout, disk striping and real-time disk scheduling, which are integrated as a combined solution to the high- performance MOD storage subsystem. The proposed clustered striping technique enables either a multiple-disk or a parallel system to guarantee a continuous retrieval of CM data at the bandwidth required to support user playback rate by avoiding the formation of I/O bottlenecks.

• The Journal of Korea Robotics Society
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• v.4 no.3
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• pp.192-200
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• 2009

In this paper, we report the progress in the development of performance evaluation method for detection algorithms of face region and facial components. This paper aims to provide a standardized evaluation method for general approach in face recognition application as a potential component in futuristic intelligent robot systems. From an image capture process to the retrieval of face-related information, all the necessary steps are shown with examples.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.2
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• pp.25-40
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• 2014

The purpose of this study is to investigate the influences of the information activities (i.e., the ability of digital device use and the time spent of information retrieval) on the feeling of happiness for the elderly people in Korea. For this study, we conducted face-to-face interview with the elderly over 60 years old living in and around Daegu, Korea and analyzed 371 valid data for frequency, multiple regression and t-test using IBM SPSS version 21.0. The results showed that neither the ability of computer nor mobile phone use affect on the feeling of happiness, whereas both the ability of TV and telephone use influence positively (+) on it. In addition, the time spent of the business-related information retrieval influences negatively (-) on the feeling of happiness, but the time spent of the financial-related information retrieval influences positively (+) on it.

• Korean Journal of Culture and Social Issue
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• v.20 no.4
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• pp.347-364
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• 2014

The present study was conducted to investigate how emotional expression change, test delay, and background influence on face recognition. In experiment 1, participants were presented with negative faces at study phase and administered for standard old-new recognition test including targets of negative and neutral expression for the same faces. In experiment 2, participants were studied negative faces and tested by old-new face recognition test with targets of negative and positive faces. In experiment 3, participants were presented with neutral faces at study phase and had to identify the same faces with no regard for negative and neutral expression at face recognition test. In all three experiments, participants were assigned into either immediate test or delay test, and target faces were presented in both white and black background. Results of experiments 1 and 2 indicated higher rates for negative faces than neutral or positive faces. Facial expression consistency enhanced face recognition memory. In experiment 3, the superiority of facial expression consistency were demonstrated by higher rates for neutral faces at recognition test. If facial expressions were consistent across encoding and retrieval, memory performance on face recognition were enhanced in all three experiments. And the effect of facial expression change have different effects on background conditions. The findings suggest that facial expression change make face identification hard, and time and background also affect on face recognition.

• Journal of KIISE:Information Networking
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• v.29 no.1
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• pp.97-107
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• 2002

In general, under interactive broadcasting environment, user finds additional service using top-down menu. However, user can't know that additional service provides information until retrieval has finished and top-down menu requires multi-level retrieval. This paper proposes the new method for additional service providing not using top-down menu but using object selection. For the purpose of this method, the movie of a MPEG should be synchronized with the object information(position, size, shape) and object tracking technique is required. Synchronization technique uses the Directshow provided by the Microsoft. Object tracking techniques use a motion-based tracking and a model-based tracking together. We divide object into two parts. One is face and the other is substance. Face tracking uses model-based tracking and Substance uses motion-based tracking base on the block matching algorithm. To improve precise tracking, motion-based tracking apply the temporal prediction search algorithm and model-based tracking apply the face model which merge ellipse model and color model.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.8
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• pp.601-605
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• 2009

Recently, photo sharing and publishing based Social Network Sites(SNSs) are increasingly attracting the attention of academic and industry researches. Millions of users have integrated these sites into their daily practices to communicate with online people. In this paper, we propose an efficient face annotation and retrieval system under SNS. Since the system needs to deal with a huge database which consists of an increasing users and images, both effectiveness and efficiency are required, In order to deal with this problem, we propose a face annotation classifier which adopts an online learning and social decomposition approach. The proposed method is shown to have comparable accuracy and better efficiency than that of the widely used Support Vector Machine. Consequently, the proposed framework can reduce the user's tedious efforts to annotate face images and provides a fast response to millions of users.

• IE interfaces
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• v.24 no.4
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• pp.396-407
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• 2011

We develop a cash management model in which firms face randomly occurred investment projects and retrieve investments upon the maturity of these projects. Using the Markov Decision Problem approach, we examine a control policy which dynamically adjusts the cash balance under the discounted cost criterion. The existence of an optimal policy is shown under some conditions. The optimal solution procedure is developed to find the optimal points and the optimal sizes for adjusting the cash balance. In numerical experiment, we investigate important structural properties of the optimal cash management policy.

• Korean Journal of Cognitive Science
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• v.23 no.3
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• pp.389-408
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• 2012

'Verbal overshadowing' refers to the phenomenon whereby the verbal reporting of a visual memory of a face interferes with subsequent visual recognition of that face. Schooler (2002)[1] suggested that verbalization causes a shift from a holistic/global processing orientation towards a more analytic/local processing orientation that is detrimental to face recognition. The present research investigated whether this processing shift occurs or not by assessing performance of Navon task following face recognition task, interposing verbalization between encoding stage and retrieval stage. The face recognition task showed the verbal overshadowing effect. In the Navon task, while non-verbalization group showed global precedence, verbalization group showed local precedence. This results imply that the cause of verbal overshadowing effect is a processing shift induced by verbalization.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.356-358
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• 1999

최근 몇 년 동안 멀티미디어 정보의 급격한 증가와 더불어, 사용자에게 다양한 형태의 검색 환경 제공하기 위한 연구들이 꾸준히 이루어지고 있지만, '얼굴에 의한 질의(Query-by-face)'에 대한 연구는 다른 검색 방법에 비해 상대적으로 미약한 편이다. 얼굴 검색은 일반적인 내용기반 검색 분야에 비해 어려운 분야로 현재 대부분의 얼굴 인식 및 검색 시스템들은 일정한 배경 및 조명, 동일한 얼굴 크기를 갖는 한정된 형태의 데이터만을 사용한다. 본 논문에서는 영화 비디오로부터 추출된 대표 프레임 중 사용자가 원하는 등장 인물을 찾기 위한 기술 개발을 위해 비디오 영상으로부터 얼굴을 검출하고 인식하는 방법을 제안한다. 기존의 방법들은 실험 영상이 제한되어 있다거나 인식의 정확성을 위해 몇 개의 부수적인 얼굴 데이터를 별도로 보관해야만 했지만 본 논문에서는 배경과 두드러진 특징을 갖는 얼굴 색을 이용하여 얼굴 영역 검출 속도를 향상시키고, 웨이블릿 변환과 하우스돌프 거리(Haudorff distance)를 이용하여 별도의 데이터가 필요없이 얼굴을 인식이 가능한 시스템을 설계하였다. 또한, 영화 비디오 및 뉴스, 인터뷰 비디오 등 다양한 형태의 배경 및 조명, 크기 변화를 갖는 데이터에 대한 실험결과를 통해 본 논문에서 제안하는 방법에 대한 성능 평가 실시하였다.