• 제목/요약/키워드: network based system monitoring

검색결과 1,151건 처리시간 0.028초

A new method for optimal selection of sensor location on a high-rise building using simplified finite element model

  • Yi, Ting-Hua;Li, Hong-Nan;Gu, Ming
    • Structural Engineering and Mechanics
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    • 제37권6호
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    • pp.671-684
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    • 2011
  • Deciding on an optimal sensor placement (OSP) is a common problem encountered in many engineering applications and is also a critical issue in the construction and implementation of an effective structural health monitoring (SHM) system. The present study focuses with techniques for selecting optimal sensor locations in a sensor network designed to monitor the health condition of Dalian World Trade Building which is the tallest in the northeast of China. Since the number of degree-of-freedom (DOF) of the building structure is too large, multi-modes should be selected to describe the dynamic behavior of a structural system with sufficient accuracy to allow its health state to be determined effectively. However, it's difficult to accurately distinguish the translational and rotational modes for the flexible structures with closely spaced modes by the modal participation mass ratios. In this paper, a new method of the OSP that computing the mode shape matrix in the weak axis of structure by the simplified multi-DOF system was presented based on the equivalent rigidity parameter identification method. The initial sensor assignment was obtained by the QR-factorization of the structural mode shape matrix. Taking the maximum off-diagonal element of the modal assurance criterion (MAC) matrix as a target function, one more sensor was added each time until the maximum off-diagonal element of the MAC reaches the threshold. Considering the economic factors, the final plan of sensor placement was determined. The numerical example demonstrated the feasibility and effectiveness of the proposed scheme.

BPM을 이용한 웹서비스 기반의 SCM 프로세스 실행 (Web Service-based SCM Process Execution Using BPM)

  • 서용원;최용선;장진영;배혜림
    • 한국전자거래학회지
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    • 제9권4호
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    • pp.65-83
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    • 2004
  • 기업간 경쟁의 격화와 정보기술의 발달로 인하여 많은 기업들이 공급사슬관리(SCM)를 도입하고 있다. 이에 따라, 공급사슬상의 관련 기업간의 상호작용과 정보공유에 기반한 공급사슬 통합이 추진되고 있으며, 웹서비스 와 같은 시스템에 독립적인 기술 적용의 필요성이 제기되고 있다. 웹서비스를 이용하면서도 높은 수준의 공급사슬 통합이 이루어지기 위해서는, 여러 상호작용주체가 참여하는 글로벌 프로세스 수준에서 SCM 프로세스를 관리하고 제어할 필요가 있으며, 본 논문에서는 비즈니스 프로세스 자동화 및 관리도구로 최근 각광을 받고 있는 BPM을 도입하여 각 업무단위가 웹서비스로 구성된 환경에서 SCM을 구성하는 프로세스를 효과적으로 통합하여 실행하는 방안을 제시한다. 이러한 접근법은 SCM 프로세스의 진행과정을 보다 효율적으로 관리, 모니터링하는 것이 가능하며, SCM 프로세스의 수행결과를 토대로 프로세스의 개선에 대한 방안을 모색할 수 있다. 또한, SCM 프로세스의 진행과정에서 의사결정이 필요한 경우 이에 대한 지원 에이전트를 웹서비스로 구성하여 보다 신속한 프로세스 수행을 가능하게 한다.

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기상자료 공간내삽과 작물 생육모의기법에 의한 전국의 읍면 단위 쌀 생산량 예측 (Yield and Production Forecasting of Paddy Rice at a Sub-county Scale Resolution by Using Crop Simulation and Weather Interpolation Techniques)

  • 윤진일;조경숙
    • 한국농림기상학회지
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    • 제3권1호
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    • pp.37-43
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    • 2001
  • Crop status monitoring and yield prediction at higher spatial resolution is a valuable tool in various decision making processes including agricultural policy making by the national and local governments. A prototype crop forecasting system was developed to project the size of rice crop across geographic areas nationwide, based on daily weather pattern. The system consists of crop models and the input data for 1,455 cultivation zone units (the smallest administrative unit of local government in South Korea called "Myun") making up the coterminous South Korea. CERES-rice, a rice crop growth simulation model, was tuned to have genetic characteristics pertinent to domestic cultivars. Daily maximum/minimum temperature, solar radiation, and precipitation surface on 1km by 1km grid spacing were prepared by a spatial interpolation of 63 point observations from the Korea Meteorological Administration network. Spatial mean weather data were derived for each Myun and transformed to the model input format. Soil characteristics and management information at each Myun were available from the Rural Development Administration. The system was applied to the forecasting of national rice production for the recent 3 years (1997 to 1999). The model was run with the past weather data as of September 15 each year, which is about a month earlier than the actual harvest date. Simulated yields of 1,455 Myuns were grouped into 162 counties by acreage-weighted summation to enable the validation, since the official production statistics from the Ministry of Agriculture and Forestry is on the county basis. Forecast yields were less sensitive to the changes in annual climate than the reported yields and there was a relatively weak correlation between the forecast and the reported yields. However, the projected size of rice crop at each county, which was obtained by multiplication of the mean yield with the acreage, was close to the reported production with the $r^2$ values higher than 0.97 in all three years.

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A study on the emissions of SOx and NH3 for a 78 kW class agricultural tractor according to agricultural operations

  • Baek, Seung Min;Kim, Wan Soo;Lee, Jun Ho;Kim, Yean Jung;Suh, Dae Seok;Chung, Sun Ok;Choi, Chang Hyun;Gam, Byoung Woo;Kim, Yong Joo
    • 농업과학연구
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    • 제47권4호
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    • pp.1135-1145
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    • 2020
  • The purpose of this study was to compare and analyze the emissions of SOx and NH3 for a 78 kW class agricultural tractor during agricultural operations. A real-time monitoring system was constructed for measuring the load data. The field test was conducted during plow and rotary tillage. The working conditions were selected with the transmission gears in M3 Low and M2 High for the plow tillage and L3 High and L3 Low for the rotary tillage. The engine torque and fuel consumption were measured using controller area network (CAN) communication, and the emissions of SOx and NH3 were calculated based on the fuel consumption. As a result of the field tests, the engine torque was higher for the plow tillage than for the rotary tillage. As the gear stage was increased, the engine torque became higher. The emissions of SOx and NH3 were higher for the plow tillage than for the rotary tillage because the fuel consumption increased. Moreover, the emissions of SOx and NH3 tended to be more distributed for the rotary tillage than for the plow tillage. To develop an emission factor for agricultural machinery, it is important to measure reliable emission data during agricultural operations. In a future study, we will collect various emission data using a portable emission measurement system during agricultural operations.

해양 부이용 920 MHz 대역 안테나 (920 MHz Band Antenna for Marine Buoy)

  • 최형동;김성율;이성렬
    • 한국항행학회논문지
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    • 제24권6호
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    • pp.593-600
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    • 2020
  • 해양 IoT 서비스를 위한 장치들은 해양 환경에 강인해야 한다. 특히 바닷물 속에 부유하는 전송 장치는 바닷물의 영향을 덜 받도록 설계되어야 한다. 본 연구에서는 전자 어구 실명제 모니터링 시스템에서 어구 상태를 감시하는 부이에 내장되는 안테나를 설계하고 제작한 결과를 보이고 있다. 안테나의 주파수 대역은 920 MHz이고, 부이의 초소형과 경량화를 위해 PCB 패턴 안테나 구조로 설계 제작되었다. 시뮬레이션 결과 제안한 안테나를 내장한 부이가 바닷물 속에 잠기는 정도가 심할수록 반사 계수 증 RF 특성이 저하되지만 빔의 방사 각도는 안테나 하층부에서 점점 상층부로 옮겨가는 것을 확인하였다. 즉 바닷물의 영향을 많이 받을수록 전파 성능은 저하되지만 방사 특성은 해양 IoT 서비스 환경에 적합하다는 것을 확인하였다. 향후 RF 성능을 개선할 수 있는 안테나 구조를 변경 설계하면 제안한 안테나와 부이는 LPWA (low power wide area) 기반 IoT 네트워크 구현에 기여할 것으로 기대된다.

멀티에이전트 기반 SCM 모델링 및 구현 (Multiagent Enabled Modeling and Implementation of SCM)

  • 김태운;양성민;서대희
    • 한국정보시스템학회지:정보시스템연구
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    • 제12권2호
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    • pp.57-72
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    • 2003
  • The purpose of this paper is to propose the modeling of multiagent based SCM and implement the prototype in the Internet environment. SCM process follows the supply chain operations reference (SCOR) model which has been suggested by Supply Chain Counsil. SCOR model has been positioned to become the industry standard for describing and improving operational process in SCM. Five basic processes, plan, source, matte, deliver and return are defined in the SCOR model, through which a company establishes its supply chain competitive objectives. A supply chain is a world wide network of suppliers, factories, warehouses, distribution centers and retailers through which raw materials are acquired, transformed or manufactured and delivered to customers by autonomous or semiautonomous process. With the pressure from the higher standard of customer compliance, a frequent model change, product complexity and globalization, the combination of supply chain process with an advanced infrastructure in terms of multiagent systems have been highly required. Since SCM is fundamentally concerned with coherence among multiple decision makers, a multiagent framework based on explicit communication between constituent agents such as suppliers, manufacturers, and distributors is a natural choice. Multiagent framework is defined to perform different activities within a supply chain. Dynamic and changing functions of supply chain can be dealt with multi-agent by cooperating with other agents. In the areas of inventory management, remote diagnostics, communications with field workers, order fulfillment including tracking and monitoring, stock visibility, real-time shop floor data collection, asset tracking and warehousing, customer-centric supply chain can be applied and implemented utilizing multiagent. In this paper, for the order processing event between the buyer and seller relationship, multiagent were defined corresponding to the SCOR process. A prototype system was developed and implemented on the actual TCP/IP environment for the purchase order processing event. The implementation result assures that multiagent based SCM enhances the speed, visibility, proactiveness and responsiveness of activities in the supply chain.

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무인항공기 영상 및 딥러닝 기반 객체인식 알고리즘을 활용한 해안표착 폐기물 탐지 기법 연구 (Study on Detection Technique for Coastal Debris by using Unmanned Aerial Vehicle Remote Sensing and Object Detection Algorithm based on Deep Learning)

  • 박수호;김나경;정민지;황도현;엥흐자리갈 운자야;김보람;박미소;윤홍주;서원찬
    • 한국전자통신학회논문지
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    • 제15권6호
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    • pp.1209-1216
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    • 2020
  • 본 연구에서는 무인항공기 원격탐사 기법과 딥러닝 기반 객체인식 알고리즘을 활용한 해안표착폐기물 탐지기법을 제안한다. 항공영상 내에 존재하는 해안표착폐기물을 탐지하기 위해 심층신경망 기반 객체 인식 알고리즘을 제안하였다. PET, 스티로폼, 기타 플라스틱의 3가지 클래스의 이미지 데이터셋으로 심층신경망 모델을 훈련시켰으며, 각 클래스별 탐지 정확도를 Darknet-53과 비교하였다. 이를 통해 해안표착 폐기물을 무인항공기를 통해 성상별 모니터링할 수 있었으며, 향후 본 연구에서 제안하는 방법이 적용될 경우 해변 전체에 대한 성상별 전수조사가 가능하며, 이를 통해 해양환경 감시 분야의 효율성 증대에 기여할 수 있을 것으로 판단된다.

무선 센서 네트워크 환경에서 실시간 멀티미디어 데이터 전송을 위한 비-중첩 다중 경로 라우팅 (Disjointed Multipath Routing for Real-time Multimedia Data Transmission in Wireless Sensor Networks)

  • 조미림;성동욱;박준호;유재수
    • 한국콘텐츠학회논문지
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    • 제11권12호
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    • pp.78-87
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    • 2011
  • 현재 센서 네트워크 시스템을 이용한 다양한 지능형 응용들에 대한 연구가 진행되고 있다. 일반적으로 센서 네트워크는 다양한 센서 모듈을 장착한 노드들로 구성되고, 환경정보를 수집하기 위해 많이 활용된다. 최근 더욱 상세한 환경 모니터링이나 고품질 데이터에 대한 요구로 인해 멀티미디어 데이터의 요구가 증가하고 있다. 본 논문에서는 Zigbee 기반 센서 네트워크의 낮은 대역폭의 한계를 극복하고, 실시간 멀티미디어 데이터 전송을 위한 라우팅 기법에 대한 연구를 수행한다. 기존에 제안된 멀티미디어 데이터 전송 기법의 경우 비효율적인 다중경로 설정단계로 인해 경로설정 시간의 지연이 발생하고, Zigbee의 대역폭 한계로 인해 낮은 데이터 전송속도를 보인다. 본 논문은 기존 기법의 대역폭 문제를 해결하는 블루투스와 Zigbee 하이브리드 라우팅 구조를 제안한다. 또한 경로설정 시간 지연 문제를 해결하는 경쟁기반 비-중첩 다중 경로 설정 기법을 제안한다. 제안하는 기법의 우수성을 비교평가하기 위해 시뮬레이션을 수행하였다. 그 결과 약 78% 지연시간이 감소되었으며, 통신 속도가 약 6.9배 증가하였다.

이동 환자 생체신호의 실시간 전달을 위한 오버레이 네트워크 기반 자율군집형 미들웨어 플랫폼 (Self-Organizing Middleware Platform Based on Overlay Network for Real-Time Transmission of Mobile Patients Vital Signal Stream)

  • 강호영;정설영;안철수;박유진;강순주
    • 한국통신학회논문지
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    • 제38C권7호
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    • pp.630-642
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    • 2013
  • 이동환자의 생체진단신호 원격전달을 위해서는 환자 및 감시자의 이동성, 환자의 이상징후 감지기능과 관련 컴퓨팅 자원들의 자율군집성 동작 서비스 바인딩 기능이 필수적으로 요구된다. 기존의 연구는 이동 환자 생체 신호 전달을 위해 중앙 집중화된 방식으로 중앙 서버 스스로 단일 고장점(Single Point of Failure)이 되어 서버가 다운되면 전체 시스템이 멈추게 되고, 지역적으로 일어나는 서비스에 대해 중앙으로 데이터 트래픽을 발생시킨다. 오버레이 네트워크 기반 자율군집형 미들웨어 플랫폼은 자율군집 메커니즘을 적용하여 구성한 유무선 이기종망 환경하의 오버레이 네트워크를 통해 관리 서버에 의한 중앙 또는 외부의 제어 없이 노드 간 협업에 의해 다양한 센서 장치(생체신호 측정 장비 포함)와 스마트폰, TV, PC 및 외부 시스템 간에 실시간 스트림 데이터를 송수신할 수 있도록 개발된 미들웨어 플랫폼이다. 생체신호 측정 장비로부터 발생한 여러 생체진단신호를 도처에 존재하는 자율군집형 분산 미들웨어 플랫폼인 SoSpR(Self-organizing Software-platform Router)로 관리 서버의 중재없이 자율적으로 실시간 전달 및 저장하고 동시에 복수개의 다양한 수신 단말에서 가까운 SoSpR로부터 실시간 수신 및 재생 시킬 수 있다.

A Study on the Implement of AI-based Integrated Smart Fire Safety (ISFS) System in Public Facility

  • Myung Sik Lee;Pill Sun Seo
    • 국제초고층학회논문집
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    • 제12권3호
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    • pp.225-234
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    • 2023
  • Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).