• 제목/요약/키워드: multi-source data

검색결과 420건 처리시간 0.025초

A Method for Information Source Selection using Teasaurus for Distributed Information Retrieval

  • Goto, Shoji;Ozono, Tadachika;Shintani, Toramatsu
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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    • pp.272-277
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    • 2001
  • In this paper, we describe a new method for selecting information sources in a distributed environment. Recently, there has been much research on distributed information retrieval, that is information retrieval (IR) based on a multi-database model in which the existence of multiple sources is modeled explicitly. In distributed IR, a method is needed that would enable selecting appropriate sources for users\` queries. Most existing methods use statistical data such as document frequency. These methods may select inappropriate ate sources if a query contains polysemous words. In this paper, we describe an information-source selection method using two types of thesaurus. One is a thesaurus automatically constructed from documents in a source. The other is a hand-crafted general-purpose thesaurus(e.g. WordNet). Terms used in documents in a source differ from one another and the meanings of a term differ depending on th situation in which the term is used. The difference is a characteristic of the source. In our method, the meanings of a term are distinguished between by the relationship between the term and other terms, and the relationship appear in the co-occurrence-based thesaurus. In this paper, we describe an algorithm for evaluating a usefulness of a source for a query based on a thesaurus. For a practical application of our method, we have developed Papits, a multi-agent-based in formation sharing system. An experiment of selection shows that our method is effective for selecting appropriate sources.

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Shadow Effects Correction of Aerial Color Image Using Multi-Source Data Sets

  • Sohn, Hong-Gyoo;Yun, Kong-Hyun;Song, Yeong-Sun;Park, Hyo-Keun
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2004년도 추계학술발표회 논문집
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    • pp.285-290
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    • 2004
  • 그림자효과 보정은 도심지역에서 영상 해석 또는 지상의 인공지물을 추출하는데 있어서 상당히 중요한 처리과정이다. 본 연구에서는 다중자료원(Multi-Source Data Sets)을 이용하여 컬러항공사진에 발생한 그림자의 효과를 효율적으로 처리 및 보정 할 수 있는 알고리즘을 제시하였으며 시각적인 비교뿐만 아니라 도로추출의 시도로 그림자 보정효과의 입증하였다. 또한 다중자료원인 컬러항공사진, LiDAR 고도자료 그리고 1:1000 수치지도를 이용하여 각 센서 및 기존 자료가 가지고 있는 장점을 최대한 살려 시너지 효과를 나타낼 수 있도록 적절한 융합과정을 시도하여 성공적인 예를 보여주었다.

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다단자 반도체 소자에서의 steady-state Nyquist 정리를 이용한 FET의 회소 잡음 지수 및 최적 소오스 임피던스 모델링 (Modeling of the Minimum nNise Figure and the Optimum Source Impedance of FETs using the Steady-state Nyquist Theorem for Multi-Terminal Semiconductor Devices)

  • 이정배;민홍식;박영준
    • 전자공학회논문지A
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    • 제32A권3호
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    • pp.110-117
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    • 1995
  • New formulas for the minimum noise figure and the optimum source impedance of microwave FETs are derived using the noise equivalent circuits obtained from the steady-state Nyquist theorem for multi-terminal semiconductor devices. The derived formulas manifest the relationships between the noise sources and the physical parameters of a noise equivalent circuit. Furthermore the formulas can explain the effect of gate leakage current on the minimum noise figure and the optimum source impedance. comparisons with the published experimental data confirm the validity and usability of our formula.

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Janus - Multi Source Event Detection and Collection System for Effective Surveillance of Criminal Activity

  • Shahabi, Cyrus;Kim, Seon Ho;Nocera, Luciano;Constantinou, Giorgos;Lu, Ying;Cai, Yinghao;Medioni, Gerard;Nevatia, Ramakant;Banaei-Kashani, Farnoush
    • Journal of Information Processing Systems
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    • 제10권1호
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    • pp.1-22
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    • 2014
  • Recent technological advances provide the opportunity to use large amounts of multimedia data from a multitude of sensors with different modalities (e.g., video, text) for the detection and characterization of criminal activity. Their integration can compensate for sensor and modality deficiencies by using data from other available sensors and modalities. However, building such an integrated system at the scale of neighborhood and cities is challenging due to the large amount of data to be considered and the need to ensure a short response time to potential criminal activity. In this paper, we present a system that enables multi-modal data collection at scale and automates the detection of events of interest for the surveillance and reconnaissance of criminal activity. The proposed system showcases novel analytical tools that fuse multimedia data streams to automatically detect and identify specific criminal events and activities. More specifically, the system detects and analyzes series of incidents (an incident is an occurrence or artifact relevant to a criminal activity extracted from a single media stream) in the spatiotemporal domain to extract events (actual instances of criminal events) while cross-referencing multimodal media streams and incidents in time and space to provide a comprehensive view to a human operator while avoiding information overload. We present several case studies that demonstrate how the proposed system can provide law enforcement personnel with forensic and real time tools to identify and track potential criminal activity.

VRF 응용 Hybrid 공조시스템 Case Study (Case Study of Hybrid HVAC system Applied VRF)

  • 김성실;박완규;허인구
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2008년도 하계학술발표대회 논문집
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    • pp.357-362
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    • 2008
  • The present study has been conducted variable refrigerant flow system applied building. Multi air-conditioning system has some benefits : easier building management and maintenance and energy saving. Recently, the system heat pump has been employed in medium-sized and tall buildings. However, the performance data and design method for system heat pump are limited in literature due to complicated system parameters and operating conditions. In the present study, case study of a system heat pump applied various building. The aim of this paper is to application multi air-conditioners and to inform the benefits of multi air-conditioners.

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Augmenting Path Algorithm for Routing Telephone Calls Problem

  • Lee, Sang-Un
    • 한국컴퓨터정보학회논문지
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    • 제21권6호
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    • pp.77-81
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    • 2016
  • This paper deals with the optimization problem that decides the routing of connection between multi-source and multi-sink. For this problem, there is only in used the mathematical approach as linear programming (LP) software package and has been unknown the polynomial time algorithm. In this paper we suggest the heuristic algorithm with $O(mn)^2$ time complexity to solve the optimal solution for this problem. This paper suggests the simple method that assigns the possible call flow quantity to augmenting path of ($s_i,t_i$) city pair satisfied with demand of ($s_i,t_i$). The proposed algorithm can be get the same optimal solution as LP for experimental data.

Urban Growth Monitoring using Multi-temporal Satellite Images and Geographic Information

  • Lee, Kwang-Jae;Kim, Youn-Soo;Kim, Byung-Kyo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.470-472
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    • 2003
  • The primary goal in this paper is to analyze urban growth patterns using multi-temporal remote sensing images and geographic information data. In order to accomplish this purpose, firstly data pre-processing is carried out, and then land-use maps are generated with ancillary data source by heads-up on-screen digitizing. Lastly, using the results of the previous stages, the patterns of land-use and urban changes are monitored by the proposed scheme. In this research, using the multi-temporal images and geographic information data, monitoring of urban growth was carried out with the application of urban land-use changes.

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일개 대학병원의 상향.하향 인사평가결과 비교분석 (A Comparison of the Upward-Downward Feedback of Personnel Rating at a University Hospital)

  • 조성만;서영준;강신희;황슬기;김장묵
    • 보건의료산업학회지
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    • 제6권1호
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    • pp.117-128
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    • 2012
  • This study purports to investigate the difference between upward and downward feedback and to find out the strategy to enhance the validity and reliability of the multi-source feedback system. Data were collected from 88 middle-level managers working at divisions of nursing, administration, and clinical technology at a university hospital located in north-eastern part of South Korea. Data about multi-source feedback of the year 2008 and 2009 were obtained from the department of personnel management under the permission of hospital top management. The collected data were analyzed using t-test, and correlation analysis. The major findings of the study were as follows: First, the scores of downward feedback were always higher than those of the upward feedback. Second, the scores of downward feedback were always higher than those of the upward feedback in both nursing and administrative staff, while no significant difference was found in technological staff. Third, the upward and downward feedback scores were significantly different in terms of the evaluation factors. Fourth, there were significant correlations between total scores of downward and upward feedback, and evaluation factor scores. In conclusion, the composition and weight of measurement items of multi-source feedback needs to be designed differently in terms of each job characteristics.

k-최근접 이웃 알고리즘을 이용한 원공결함을 갖는 유한 폭 판재의 음향방출 음원분류에 대한 연구 (Acoustic Emission Source Classification of Finite-width Plate with a Circular Hole Defect using k-Nearest Neighbor Algorithm)

  • 이장규;오진수
    • 대한안전경영과학회지
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    • 제11권1호
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    • pp.27-33
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    • 2009
  • A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's $\lambda$, D&B(Rij) & Tou are discussed.