• 제목, 요약, 키워드: Person Information

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국내 인물데이터베이스의 구축과 서비스에 관한 비교 분석 (A Comparative Study about Construction and the Service of the Domestic Biographical Database)

  • 한상길
    • 한국도서관정보학회지
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    • v.39 no.4
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    • pp.331-352
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    • 2008
  • 인물데이터베이스는 우리나라에서 제작되어 서비스 되고 있는 데이터베이스 중 유료화가 가장 먼저 이루어졌고, 현재 활발히 서비스 되고 있는 데이터베이스이다. 본 연구에서는 국내 인물데이터베이스의 구축 및 서비스 현황을 살펴보고, 인물데이터베이스 구축과정에 대한 문제점과 검색항목 및 검색 방법을 비교분석한다. 이를 토대로 인물데이터베이스의 문제점을 분석하고, 이를 해결할 수 있는 방안을 제시한다. 그 대표적인 방안 중의 하나가 인물데이터베이스 구축에서 시소러스를 이용한 용어관계와 인물 속성데이터를 이용하는 것이다.

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조직구성원의 개인-환경적합성과 정보시스템 수용요인이 성과에 미치는 영향에 관한 연구: 사회자본의 매개역할 (A Study on the Impact of Employee's Person-Environment Fit and Information Systems Acceptance Factors on Performance: The Mediating Role of Social Capital)

  • 허명숙;천면중
    • Asia pacific journal of information systems
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    • v.19 no.2
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    • pp.1-42
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    • 2009
  • In a knowledge-based society, a firm's intellectual capital represents the wealth of ideas and ability to innovate, which are indispensable elements for the future growth. Therefore, the intellectual capital is evidently recognized as the most valuable asset in the organization. Considered as intangible asset, intellectual capital is the basis based on which firms can foster their sustainable competitive advantage. One of the essential components of the intellectual capital is a social capital, indicating the firm's individual members' ability to build a firm's social networks. As such, social capital is a powerful concept necessary for understanding the emergence, growth, and functioning of network linkages. The more social capital a firm is equipped with, the more successfully it can establish new social networks. By providing a shared context for social interactions, social capital facilitates the creation of new linkages in the organizational setting. This concept of "person-environment fit" has long been prevalent in the management literature. The fit is grounded in the interaction theory of behavior. The interaction perspective has a fairly long theoretical tradition, beginning with proposition that behavior is a function of the person and environment. This view asserts that neither personal characteristics nor the situation alone adequately explains the variance in behavioral and attitudinal variables. Instead, the interaction of personal and situational variables accounts for the greatest variance. Accordingly, the person-environment fit is defined as the degree of congruence or match between personal and situational variables in producing significant selected outcomes. In addition, information systems acceptance factors enable organizations to build large electronic communities with huge knowledge resources. For example, the Intranet helps to build knowledge-based communities, which in turn increases employee communication and collaboration. It is vital since through active communication and collaborative efforts can employees build common basis for shared understandings that evolve into stronger relationships embedded with trust. To this aim, the electronic communication network allows the formation of social network to be more viable to rapid mobilization and assimilation of knowledge assets in the organizations. The purpose of this study is to investigate: (1) the impact of person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) on social capital(network ties, trust, norm, shared language); (2) the impact of information systems acceptance factors(availability, perceived usefulness, perceived ease of use) on social capital; (3) the impact of social capital on personal performance(work performance, work satisfaction); and (4) the mediating role of social capital between person-environment fit and personal performance. In general, social capital is defined as the aggregated actual or collective potential resources which lead to the possession of a durable network. The concept of social capital was originally developed by sociologists for their analysis in social context. Recently, it has become an increasingly popular jargon used in the management literature in describing organizational phenomena outside the realm of transaction costs. Since both environmental factors and information systems acceptance factors affect the network of employee's relationships, this study proposes that these two factors have significant influence on the social capital of employees. The person-environment fit basically refers to the alignment between characteristics of people and their environments, thereby resulting in positive outcomes for both individuals and organizations. In addition, the information systems acceptance factors have rather direct influences on the social network of employees. Based on such theoretical framework, namely person-environment fit and social capital theory, we develop our research model and hypotheses. The results of data analysis, based on 458 employee cases are as follow: Firstly, both person-environment fit(person-job fit, person-person fit, person-group fit, person-organization fit) and information systems acceptance factors(availability perceived usefulness, perceived ease of use) significantly influence social capital(network ties, norm, shared language). In addition, person-environment fit is a stronger factor influencing social capital than information systems acceptance factors. Secondly, social capital is a significant factor in both work satisfaction and work performance. Finally, social capital partly plays a mediating role between person-environment fit and personal performance. Our findings suggest that it is vital for firms to understand the importance of environmental factors affecting social capital of employees and accordingly identify the importance of information systems acceptance factors in building formal and informal relationships of employees. Firms also need to reflect their recognition of the importance of social capital's mediating role in boosting personal performance. Some limitations arisen in the course of the research and suggestions for future research directions are also discussed.

Korean-Chinese Person Name Translation for Cross Language Information Retrieval

  • Wang, Yu-Chun;Lee, Yi-Hsun;Lin, Chu-Cheng;Tsai, Richard Tzong-Han;Hsu, Wen-Lian
    • 한국언어정보학회:학술대회논문집
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    • pp.489-497
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    • 2007
  • Named entity translation plays an important role in many applications, such as information retrieval and machine translation. In this paper, we focus on translating person names, the most common type of name entity in Korean-Chinese cross language information retrieval (KCIR). Unlike other languages, Chinese uses characters (ideographs), which makes person name translation difficult because one syllable may map to several Chinese characters. We propose an effective hybrid person name translation method to improve the performance of KCIR. First, we use Wikipedia as a translation tool based on the inter-language links between the Korean edition and the Chinese or English editions. Second, we adopt the Naver people search engine to find the query name's Chinese or English translation. Third, we extract Korean-English transliteration pairs from Google snippets, and then search for the English-Chinese transliteration in the database of Taiwan's Central News Agency or in Google. The performance of KCIR using our method is over five times better than that of a dictionary-based system. The mean average precision is 0.3490 and the average recall is 0.7534. The method can deal with Chinese, Japanese, Korean, as well as non-CJK person name translation from Korean to Chinese. Hence, it substantially improves the performance of KCIR.

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카메라-레이저스캐너 상호보완 추적기를 이용한 이동 로봇의 사람 추종 (Person-following of a Mobile Robot using a Complementary Tracker with a Camera-laser Scanner)

  • 김형래;최학남;이재홍;이승준;김학일
    • 제어로봇시스템학회논문지
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    • v.20 no.1
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    • pp.78-86
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    • 2014
  • This paper proposes a method of tracking an object for a person-following mobile robot by combining a monocular camera and a laser scanner, where each sensor can supplement the weaknesses of the other sensor. For human-robot interaction, a mobile robot needs to maintain a distance between a moving person and itself. Maintaining distance consists of two parts: object tracking and person-following. Object tracking consists of particle filtering and online learning using shape features which are extracted from an image. A monocular camera easily fails to track a person due to a narrow field-of-view and influence of illumination changes, and has therefore been used together with a laser scanner. After constructing the geometric relation between the differently oriented sensors, the proposed method demonstrates its robustness in tracking and following a person with a success rate of 94.7% in indoor environments with varying lighting conditions and even when a moving object is located between the robot and the person.

The Improved Joint Bayesian Method for Person Re-identification Across Different Camera

  • Hou, Ligang;Guo, Yingqiang;Cao, Jiangtao
    • Journal of Information Processing Systems
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    • v.15 no.4
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    • pp.785-796
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    • 2019
  • Due to the view point, illumination, personal gait and other background situation, person re-identification across cameras has been a challenging task in video surveillance area. In order to address the problem, a novel method called Joint Bayesian across different cameras for person re-identification (JBR) is proposed. Motivated by the superior measurement ability of Joint Bayesian, a set of Joint Bayesian matrices is obtained by learning with different camera pairs. With the global Joint Bayesian matrix, the proposed method combines the characteristics of multi-camera shooting and person re-identification. Then this method can improve the calculation precision of the similarity between two individuals by learning the transition between two cameras. For investigating the proposed method, it is implemented on two compare large-scale re-ID datasets, the Market-1501 and DukeMTMC-reID. The RANK-1 accuracy significantly increases about 3% and 4%, and the maximum a posterior (MAP) improves about 1% and 4%, respectively.

Research on a Model of Extracting Persons' Information Based on Statistic Method and Conceptual Knowledge

  • Wei, XiangFeng;Jia, Ning;Zhang, Quan;Zang, HanFen
    • 한국언어정보학회:학술대회논문집
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    • pp.508-514
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    • 2007
  • In order to extract some important information of a person from text, an extracting model was proposed. The person's name is recognized based on the maximal entropy statistic model and the training corpus. The sentences surrounding the person's name are analyzed according to the conceptual knowledge base. The three main elements of events, domain, situation and background, are also extracted from the sentences to construct the structure of events about the person.

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ONE-PERSON-LIBRARY의 의미론적 해석 (An Analytical Approach to One-Person-Library)

  • 정준민
    • 한국문헌정보학회지
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    • v.47 no.3
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    • pp.25-47
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    • 2013
  • 본 연구는 도서관과 사서에 대한 인식의 문제를 다룬 연구이다. "사서의 정체성은 무엇이며 도서관은 과연 무엇을 하는 곳일까?"로부터 연구는 진행된다. 도서관에 대한 인식 역시, 현재의 현상학적 해석이 아닌 본질로 이해하였으며 도서관의 내면적 가치인 정보서비스를 끄집어내게 된 것이다. 그것을 다시 원점으로 도서관을 잠재태로(virtually) 표현하는 과정에 개인의 역할과 기능으로 도서관의 본질을 설명함으로써 나, 개인도 도서관이 될 수 있으며 내가 도서관이기 위한 필요충분조건이 정보서비스가 되는 것이다.

시각 장애인을 위한 Android Platform과 PC간의 1:1 통신 구현 (Communications System between Android Platform and PC for the Visually Impaired Person)

  • 이존휘;김영길;오재균
    • 한국정보통신학회:학술대회논문집
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    • pp.213-215
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    • 2012
  • 현재 구현된 시각 장애인을 위한 Navigation System들은 통신거리가 짧게 제한되어 있고 장애인으로부터 받을 수 있는 정보가 직접적으로 도움을 주기에 부족한 면들이 있다. 반면에 장애인들이 이동하는 경로는 불완전한 편의시설이나 안내로 인해 아직도 White Stick 만으로 이동하기에 불편하고 위험하다고 할 수 있다. 이런 점을 해결하고자 장애인과 도우미간에 영상, 음성, 위치정보를 주고받을 수 있도록 Android Platform과 PC간의 1:1 통신을 구현하고자 한다.

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Multiple Person Tracking based on Spatial-temporal Information by Global Graph Clustering

  • Su, Yu-ting;Zhu, Xiao-rong;Nie, Wei-Zhi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.6
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    • pp.2217-2229
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    • 2015
  • Since the variations of illumination, the irregular changes of human shapes, and the partial occlusions, multiple person tracking is a challenging work in computer vision. In this paper, we propose a graph clustering method based on spatio-temporal information of moving objects for multiple person tracking. First, the part-based model is utilized to localize individual foreground regions in each frame. Then, we heuristically leverage the spatio-temporal constraints to generate a set of reliable tracklets. Finally, the graph shift method is applied to handle tracklet association problem and consequently generate the completed trajectory for individual object. The extensive comparison experiments demonstrate the superiority of the proposed method.

시각 장애인을 위한 Navigation System의 설계 및 구현 (The Design and Implementation Navigation System For Visually Impaired Person)

  • 공성훈;김영길
    • 한국정보통신학회논문지
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    • v.16 no.12
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    • pp.2702-2707
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    • 2012
  • 도시의 급격한 발전으로 공사가 증가하게 되고 이동 차량 또한 증가 하게 된다. 이는 자연히 시각 장애인들의 보행을 점점 더 어렵게 만든다. 이러한 어려움을 해결하고자 Android 기반의 Portable Navigation System을 도입하여 시각 장애인의 보행을 돕고, 서비스 센터에서 시각 장애인의 이동을 실시간으로 모니터링 하여서 시각 장애인의 보행에 도움을 주고자 한다. 노인이 서비스 센터에 배치되어 노인 인구 증가 문제의 해소 방안도 제공한다. 시각 장애인이 소지하고 다닐 수 있는 형태의 Navigation System은 GPS, Camera, Audio, wifi를 장착하고 있다. GPS위치 정보와 Camera 영상 정보를 실시간으로 wifi망을 이용해 서비스 센터로 전송을 하여 주도록 설계 하였다. 서비스 센터에서 시각 장애인의 GPS Location 정보를 바탕으로 그 위치를 지도에 표시하고, Camera 영상 정보로 시각 장애인이 바라보고 있는 곳의 상황을 모니터링 하며, Audio를 통해, 실시간으로 대화를 통해서 길안내 해주는 Navigation System이다.