• 제목/요약/키워드: Information Object Management

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웹 객체 이질성 기반의 적응형 웹캐싱 기법 (An Adaptive Web Caching Method based on the Heterogeneity of Web Object)

  • 고일석;나윤지;임춘성
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 춘계학술발표대회
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    • pp.1379-1382
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    • 2004
  • The use of a cache for storing and processing of Web objects is becoming larger. Also, many studies on the efficient management of the storing scope of caches are being done. Web caching algorithms have many differences from traditional algorithms. Particularly, heterogeneity of Web objects that are processing units of Web caching, and a variation of Web object reference characteristic with time are the important causes of the decrease the performance of existing algorithms. In this study, we proposed the new web-caching algorithm. A heterogeneity variation of an object can be reduced as the proposed method dividedly managing Web objects and a cache scope with heterogeneity, and it is adaptively reflecting a variation of object reference characteristics with the flowing of time. In the experiments, we verified that the performance of the proposed method was more improved than existing algorithms through the two experiment models which considered heterogeneity of an object.

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효율적인 분산 물류정보 관리를 위한 EPCIS와 EPCDS의 확장 (Expansion of EPCIS and EPCDS for Efficient Distributed Logistics Information Management)

  • 김지호;신기원;박대원;권혁철
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제16권11호
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    • pp.1076-1080
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    • 2010
  • EPC(Electronic Product Code) 기반의 물류정보 네트워크인 EPCglobal 네트워크는 다수 기업이 유기적으로 결합하여 이루어지는 개방형으로 발전하고 있다. EPC-global 네트워크에서는 물류정보가 분산되어 있고, 그 양이 방대하기 때문에 효과적으로 정보를 관리하기 위한 노력이 요구된다. EPCglobal에서는 세계적인 연구소 및 업체들이 모여 RFID/EPC 기반 물류 네트워크에서의 EPC Information Service(EPCIS), Object Naming Service(ONS) 등의 구조에 대한 표준을 정의하고 관련 표준에 대한 연구를 계속하고 있다. 본 논문에서는 EPCIS와 EPC Discovery Service(EPCDS)에 대해 표준에서 요구하는 기능과 역할을 충족시키고, 나아가 더욱 효율적인 물류정보 관리를 위해 확장된 기능의 EPCIS와 EPCDS를 제안한다.

Vision-Based Activity Recognition Monitoring Based on Human-Object Interaction at Construction Sites

  • Chae, Yeon;Lee, Hoonyong;Ahn, Changbum R.;Jung, Minhyuk;Park, Moonseo
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.877-885
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    • 2022
  • Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

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차세대 전자정부의 지능형 광역정보포털 모델 (The model of wide-area intelligent information portal for the next generation e-government)

  • 최춘성;노규성;조현주;조재완
    • 디지털융복합연구
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    • 제5권2호
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    • pp.59-70
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    • 2007
  • Recently, rising of the convergence of technologies such as IT, GIS, GPS, and Sensors is developing the new information environment which enables man-to-man, man-to-object and object-to-object to exchange information anywhere and anytime. The Korean government has made great efforts to implement the virtual government with development of the next generation technologies continually and dynamically. These efforts for implementing e-government can be summarized by the citizen centered, integrated services, the customized personalization, the intellectual services, and the integration and cooperation between each offices for providing those services. Therefore, we wish to present the model of wide-area intelligent information systems which can provide services to form the future of this virtual government with GIS infrastructure in this study.

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객체지향형 실시간 EMS 데이터베이스 개념디자인 (An Conceptual Design for the On-Line EMS Database Using Objected-Oriented Concept)

  • 최상열;김종부;윤기방
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2005년도 추계종합학술대회
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    • pp.1287-1290
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    • 2005
  • This paper represents an conceptual design for the on-line EMS(Energy Management System) database using object-oriented concept. By using object-oriented concept, EMS can meet on-line control operation.

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Exact poisson distribution in the use of NPB with aiming errors

  • Kim, Joo-Hwan
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 1995년도 춘계공동학술대회논문집; 전남대학교; 28-29 Apr. 1995
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    • pp.967-973
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    • 1995
  • A neutral particle beam(NPB) aimed at the object and receive a small number of neutron signals at the detector to estimate the mass of an object Since there is uncertainty about the location of the axis of the beam relative to the object, we could have aiming errors which may lead to incorrect information about the object. Under the two assumptions that neutral particle scattering distribution and aiming errors have a circular normal distribution respectively, we have derived an exact probability distribution of neutral particles. It becomes a Poison-power function distribution., We proved monotone likelihood ratio property of tlis distribution. This property can be used to find a criteria for the hypothesis testing problem.

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객체형 연속수치지도 제작을 위한 시스템 설계 (System Design for Producing of Object-oriented Continuous Digital Map)

  • 허민;박정현;윤종성;박명진
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2009년도 춘계학술발표회 논문집
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    • pp.75-78
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    • 2009
  • 기존의 수치지도는 2차원 도엽기반으로 되어 있어 정확성 및 최신성을 요하는 사용자의 요구조건을 충족하기에 많은 어려움이 있다. 본 연구에서는 객체형 연속수치지도의 요구사항을 분석하고 관련 시스템을 설계하였다. 객체형 연속수치지도는 3차원 연속객체로 최선성과 정확성을 갖고 있으며, 관리, 변환, 서비스, 변화정보관리, 수신갱신 및 동시갱신 시스템으로 세분화하여 시스템을 설계하였다.

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능동형 객체지향적 데이터베이스 모텔을 이용한 설계변경 개체 및 제약조건의 표현 (A Representation of Engineering Change Objects and Their Integrity Constraints Using an Active Object-Oriented Database Model)

  • 도남철
    • Journal of Information Technology Applications and Management
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    • 제10권1호
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    • pp.111-125
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    • 2003
  • This paper proposes a product data model that can express and enforce integrity constraints on product structure during engineering changes (ECs). The model adopts and extends an active object-oriented database model in order to Integrate IC data and their integrity constraints. Tightly integrated with product structure, It will enable designers to maintain and exchange consistent EC data throughout the product life cycle. In order to properly support operations for ECs, the model provides the data, operations, and Event-Condition-Action rules for nested ECs and simultaneous EC applications to multiple options. in addition, the EC objects proposed In the model integrate the data and Integrity constraints into a unified repository. This repository enables designers to access all EC data and integrity constraints through the product structure and relationships between EC objects. This paper also describes a prototype product data management system based on the proposed model In order to demonstrate its effectiveness.

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Integrated Object Detection and Blockchain Framework for Remote Safety Inspection at Construction Sites

  • Kim, Dohyeong;Yang, Jaehun;Anjum, Sharjeel;Lee, Dongmin;Pyeon, Jae-ho;Park, Chansik;Lee, Doyeop
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.136-144
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    • 2022
  • Construction sites are characterized by dangerous situations and environments that cause fatal accidents. Potential risk detection needs to be improved by continuously monitoring site conditions. However, the current labor-intensive inspection practice has many limitations in monitoring dangerous conditions at construction sites. Computer vision technology that can quickly analyze and collect site conditions from images has been in the spotlight as a solution. Nonetheless, inspection results obtained via computer vision are still stored and managed in centralized systems vulnerable to tampering with information by the central node. Blockchain has been used as a reliable and efficient decentralized information management system. Despite its potential, only limited research has been conducted integrating computer vision and blockchain. Therefore, to solve the current safety management problems, the authors propose a framework for construction site inspection that integrates object detection and blockchain network, enabling efficient and reliable remote inspection. Object detection is applied to enable the automatic analysis of site safety conditions. As a result, the workload of safety managers can be reduced with inspection results stored and distributed reliably through the blockchain network. In addition, errors or forgery in the inspection process can be automatically prevented and verified through a smart contract. As site safety conditions are reliably shared with project participants, project participants can remotely inspect site conditions and make safety-related decisions in trust.

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