• 로봇학회논문지
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• 제5권3호
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• pp.262-269
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• 2010

This paper presents a probabilistic head tracking method, mainly applicable to face recognition and human robot interaction, which can robustly track human head against various variations such as pose/scale change, illumination change, and background clutters. Compared to conventional particle filter based approaches, the proposed method can effectively track a human head by regularizing the sample space and sequentially weighting multiple visual cues, in the prediction and observation stages, respectively. Experimental results show the robustness of the proposed method, and it is worthy to be mentioned that some proposed probabilistic framework could be easily applied to other object tracking problems.

• 한국산업정보학회논문지
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• 제21권1호
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• pp.71-82
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• 2016

본 연구는 국내 의료기기 업체 종사자의 직무별 현황, 인력확보의 어려움 정도와 그 이유, 퇴직률 등을 분석하여 인력확보와 관련된 자료를 제공하고자 수행되었다. 연구결과, 의료기기 제조업체는 생산품목과 관계없이 국제인증 취득과 수출을 담당하는 해외영업 인력이 필요하며 수도권에 소재한 기업이라 할지라도 인력확보가 용이하지 않았다. 그리고 의료기기 회사는 직원 수 및 매출 규모와 관계없이 인력확보의 어려움을 겪으며 특히, 3등급의 의료기기를 생산하는 업체의 구인난이 심했다. 인력확보가 어려운 이유는 개인은 취약한 근로조건, 법인은 회사가 요구하는 직무능력을 갖춘 구직자의 수가 적기 때문이었다. 따라서 의료기기 업체의 구인난이 해결되기 위해서는 기업에서 요구하는 수준의 직무능력을 갖춘 인력이 양성되어야 하고, 회사는 적절한 수준의 근로조건을 마련하는 것이 필요함을 알 수 있다. 그리고 퇴직률 분석에서 회사 규모가 크고 직원이 많을수록 인력관리에 어려움을 겪고 있는 것으로 나타나 체계적이고 통합적인 인력관리 프로그램이 필요함을 알 수 있었다.

• 영어영문학
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• 제64권3호
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• pp.469-481
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• 2018

When literatures and cultures encounter their counterparts in terms of the big data or statistics of a new reconfiguration in the cognitive map, the tangential points of the borderland will be reduced to what Mitchell calls "a mere abstraction on a map," which nevertheless will provide a vast interstitial zone of "intersections, competition, and exclusions." This zone will be the dynamic vortex for the aesthetics, politics, and ethics of cultural translation. The translated discourse will engage in carrying across the disturbing region of untranslatability and demonstrate how the literary texts of world literature reveal enriching but threatening human experience. This dynamic border of vortex will construct the translational space of world literature, transcending the fragmentary untranslatable nature of the hybrid convergence of the ethnic, racial, cultural and national intermixtures and constructing what Pascal Casanova terms "The World Republic of Letters." In this paper, I will demonstrate how the very concept of scale is related to literary space as well as how distance creates a poetics of literary landscapes which looks ahead of world literature. Also, I will attempt to find the possibility to relate the "micro-scale" with the "macro-scale," and to construct the scale politics of representation. "Glocalization" is a convenient theoretical tool for the double movement of the up-scale and down-scale.

• Journal of Information Processing Systems
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• 제14권1호
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• pp.150-161
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• 2018

We propose a novel deep neural network model for detecting human activities in untrimmed videos. The process of human activity detection in a video involves two steps: a step to extract features that are effective in recognizing human activities in a long untrimmed video, followed by a step to detect human activities from those extracted features. To extract the rich features from video segments that could express unique patterns for each activity, we employ two different convolutional neural network models, C3D and I-ResNet. For detecting human activities from the sequence of extracted feature vectors, we use BLSTM, a bi-directional recurrent neural network model. By conducting experiments with ActivityNet 200, a large-scale benchmark dataset, we show the high performance of the proposed DeepAct model.

• 한국생활과학회지
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• 제24권4호
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• pp.477-497
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• 2015

The purpose of this study was to examine the psychometric property of the Children's Behavior Questionnaire(CBQ), including reliability, content validity, construct validity, cross validity, and concurrent validity with EAS(Emotionality, Activity, Sociability) scale. The CBQ is a caregiver report measure designed to provide a detailed assessment of temperament in children 3 to 7 years of age. In this study, two groups of participants were included to check cross validity. The first group of participants were 108 preschoolers, 3 to 7 years of age attending kindergartens or child care centers, and their mothers. The second group of participants were 168 preschoolers and their mothers. The CBQ subscales demonstrate adequate internal consistencies. Also, exploratory and confirmatory factor analyses of the CBQ scale reliably recover a three-factor solution indicating three broad dimension of temperament: extraversion/surgency, negative affectivity, and effortful control. Evidence for concurrent validity derives from results of correlation analysis with EAS scale.

• 정보교육학회논문지
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• 제21권5호
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• pp.527-535
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• 2017

본 연구는 인공지능에 대해 초등학생들이 최근 인식하고 있는 이미지를 분석하였다. 인공지능에 대한 인식과 관련된 이미지 형용사 23쌍을 추출하고 인식과 감성, 능력의 3가지 유형으로 구분하였다. 827명의 초등학생들을 대상으로 검사하여 이미지 요인을 편리성, 기술진보성, 인간친화성, 우려성의 4가지 요인으로 분류하였다. 검사결과 초등학생들은 인공지능이 똑똑하고 새로우며 복잡하지만 신나는 뚜렷한 이미지를 나타냈다. 변인별 비교에서 여학생, 코딩 경험 학생과 고학년이 인공지능에 대해 우려하는 이미지를 갖고 있었다. 반면 인공지능의 관심과 인식이 높은 학생이 인간 친화적이고, 편리하고, 기술 진보적이라는 이미지를 갖고 있었다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회(1)
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• pp.802-803
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• 2005

• Genomics & Informatics
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• 제6권1호
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• pp.1-7
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• 2008

The widespread presence of large-scale genomic variations, termed copy number variation (CNVs), has been recently recognized in phenotypically normal individuals. Judging by the growing number of reports on CNVs, it is now evident that these variants contribute significantly to genetic diversity in the human genome. Like single nucleotide polymorphisms (SNPs), CNVs are expected to serve as potential biomarkers for disease susceptibility or drug responses. However, the technical and practical concerns still remain to be tackled. In this review, we examine the current status of CNV DBs and research, including the ongoing efforts of CNV screening in the human genome. We also discuss the characteristics of platforms that are available at the moment and suggest the potential of CNVs in clinical research and application.

• 유통과학연구
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• 제12권7호
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• pp.53-61
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• 2014

Purpose - This study focuses on "large-scale marts," which is a typical discount-based retail channel (hereinafter, DRC), and provides practical managerial implications by applying the KD-SQS service quality factor based on customers' experiential perspective by developing and applying existing service measures. Research design, data, and methodology - The research subjects include adults who have experienced "large-scale marts." The research involved SPSS 20.0 and AMOS 19.0 packages; path analysis is used to analyze structural relationships. Results - First, physical aspects, human interaction, and additional convenience aspects of service quality have statistically significant influence on service value. Second, physical aspects, human interaction, and policy have statistically influence on store loyalty. Third, service value influences store loyalty. Fourth, service guarantee adjusts the relationship between service quality, service value, and store loyalty in terms of human interaction and policy. Conclusion - Among service quality measures, improving service value through personal service needs to be prioritized, while we need to develop different methods for the service guarantee system to effectively influence service value and store loyalty.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1998년도 추계학술대회 논문집
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• pp.36-39
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• 1998

It is very difficult for the large-scale retailers, who deal with tens of thousands of items, to price all the items dynamically reflecting all the constraints and policies. In spite of its importance, the prices are determined by human experts because the process of setting the prices of all the items is not established yet. To solve this problem, we adopt a mixed model that combines three typical pricing models: cost-plus model, competition-oriented model, and demand-oriented model. Since each model an be converted to a set of constraints in point and interval forms, solving the pricing problem with the three groups of models requires an algorithm which can solve the problem with weighted constraints of intervals and points. So we have devised an algorithm named “Point Determination Algorithm”. From the rules that represents tile models, the constraints are extracted to be solvable by tile Point Determination Algorithm. A prototype KAPA (Knowledge Assisted pricing Advisor) is developed with this idea using the expert system environment UNIK - a tool developed by KAIST. According to the experiment with 76 items in comparison with 53 human pricing experts we confirmed that the KAPA can perform highly consistent with human experts. This implies KAPA system is applicable to pricing millions of items dynamically.