• 국제학술발표논문집
• /
• The 6th International Conference on Construction Engineering and Project Management
• /
• pp.336-338
• /
• 2015

This research is to propose an applicable framework for real-time health surveillance and safety monitoring at construction sites. First this study aims at finding (1) a framework for health surveillance that is likely to benefit employers and employees in the industry, (2) a valid way to identify factors or conditions with potential health concerns that can occur under particular work conditions, (3) An effective way to apply wireless/mobile sensors to construction workers using real-time/live data transmission methods, and (4) A relationship between a worker's vital signs and job site environment. Biosensors for physiological response and devices for weather/work related data are to collect real-time data. Relationships between jobs and physiological responses are analyzed and factors that touched particularly contributing to certain responses are identified. When data are incorporated with tasks, factors affecting tasks can be identified to estimate the magnitude of the factors. By comparing work and normal responses possible precautionary actions can be considered. In addition, the study would be lead to improving (1) trade-specific dynamic work schedules for workers which would be based on various factors affecting worker health level and (2) reevaluating worker productivity with health status and work schedule, thereby seeking ways to maximize worker productivity. Through a study, the paper presents expected benefits of implementing health monitoring.

• 전기학회논문지
• /
• 제57권11호
• /
• pp.2080-2085
• /
• 2008

KEPCO's AMR (Automatic Meter Reading) is a system that performs the real-time inspection and management of the 15-minute load profile of electric power consumption through a wired and/or wireless network such as CDMA. It has been utilized widely for real-time collection and data analysis. So far, KEPCO has focused on establishing wireless networks using CDMA and collecting data in real time but failed to consider sufficiently performances that can improve the quality of the original data required in terms of data utilization as well as establish the summary information. In this paper, we are going to show the functions that improve data quality by recording the final renewal time of any erroneous data and maintaining such data lists to use them in the rebuilding of summary information. The goals are to reduce any load applied mainly on the DBMS (Database Management System) of AMR, to enable the real-time performance of establishment in the summary information, and to obtain high-quality inspection data. The performance evaluation result has revealed a 10-fold improvement compared to the traditional disk-based DBMS system when the summary information is established.

• 연구논문집
• /
• 통권27호
• /
• pp.167-174
• /
• 1997

Point of Production/Manufacturing Execution Systems are an essential component of operations in today's competitive business environments, which require greater production efficiency and effectiveness. POP/MES focuses on the valuing-adding processes, helping to reduce manufacturing cycle time, improve product quality, reduce WIP, reduce or eliminate paperwork between shifts, reduce lead time and empowering plant operations staff. In this paper, we implement POP/MES to manage real-time plant floor data which is gathered by I/O server into database management system. I/O server is a software allows data exchange between factory real-time database and several hardware devices such as PLC, DCS, robot and sensor through ethernet TCP/IP protocol.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.118-118
• /
• 2000

This paper suggests the methodology to guarantee the rea1-time service over Ethernet and TCP/IP and to solve the problems such as re-transmission due to collision and platform-transparency and independence. This paper proposes a new mechanism called Real-time Ethernet protocol combined the centralized medium control mechanism with the token passing mechanism. The centralized medium control mechanism is used to get the token, the right to transmit the data, and the token passing mechanism is used to return the token to the token controller and to transmit data within the specified time interval. The proposed Real-Time Ethernet Protocol is based on Java and Java RMI(Remote Method Invocation). The presented protocol is believed to work enough in real-time applications considering latency occurred due to the Java RMI, which is less small than data transmission time.

• 한국통신학회논문지
• /
• 제7권2호
• /
• pp.66-70
• /
• 1982

多數의 마이크로프로세서와 이를 연결해 주는 미니컴퓨터로 構成된 實時間 온라인制御시스템에서의 데이터通信의 제반양식 및 그 접속단의 한 방안이 제시되고 설계되었다. 접속단은 DMA 方式으로 함으로써 방대한 制御프로그램을 단순화 할 수 있었다. 이 方式은 실제로 서울市의 交通管制시스템에서 活用되어 成功的으로 실험되었다.

• 전기학회논문지
• /
• 제63권12호
• /
• pp.1675-1682
• /
• 2014

In this paper, we propose a precise time management and time synchronization based on real-time data storage and transmission scheme in design of seismic data acquisition system for urban earthquake disaster preventing system (UEDPS). It is possible to improve the performance of the existing research results through the proposed methods. To evaluate the performances of the proposed methods, we implemented a prototype system(H/W & S/W) and performed some experiments with real seismic data and test equipment generated data as the input.

• 경영과학
• /
• 제21권3호
• /
• pp.101-113
• /
• 2004

In the rapidly propagating Internet based electronic transaction environment. the importance of real time order confirmation has been more emphasized, In this paper, using data mining techniques, we develop intelligent operations decision model to allow real time order confirmation at the time the customer places an order with required delivery terms. Among various operation plannings used for order fulfillment. mill routing is the first interface decision point to link the order receiving at the marketing with the production planning for order fulfillment. Though linear programming based mathematical optimization techniques are mostly used for mill routing problems, some early orders should wait until sufficient orders are gathered for optimization. And that could effect longer order fulfillment lead-time, and prevent instant order confirmation of delivery terms. To cope with this problem, we provide the intelligent decision model to allow instant order based mill routing decisions. Data mining techniques of decision trees and neural networks. which are more popular in marketing and financial applications, are used to develop the model. Through diverse computational trials with the industrial data from the steel company. we have reported that the performance of the proposed approach is effective compared to the present heuristic only mill routing results. Various issues of data mining techniques application to the mill routing problems having linear programming characteristics are also discussed.

• Journal of Advanced Marine Engineering and Technology
• /
• 제38권10호
• /
• pp.1275-1280
• /
• 2014

In this study, the performance of a real-time micro telescopic monitoring system is evaluated, in which an artificial neural network is adopted for the diagnoses of vibratory bodies, such as solid piping system or machinery. The structural vibration was measured by a non-contact remote sensing method, in which images of a high-speed high-definition camera were used. The structural vibration data that can be obtained by the PIV (particle image velocimetry) technique were used for training the neural network. The structures of the neural network are dynamically changed and their performances are evaluated for the constructed diagnosis system. Optimized structures of the neural network are proposed for real-time diagnosis for the piping system. It was experimentally verified that the performances of the neural network used for real-time monitoring are influenced by the types of the vibration data, such as minimum, maximum and average values of the vibration data. It concludes that the time-mean values are most appropriate for monitoring the piping system.

• 한국습지학회지
• /
• 제14권3호
• /
• pp.385-397
• /
• 2012

격자 기반의 물리적 분포형 모형은 유역의 물리적 매개변수와 격자 형식의 공간 및 수문자료를 이용해서 유출해석을 수행한다. 본 연구에서는 격자 기반의 물리적 분포형 강우-유출 모형인 GRM(Grid based Rainfall-runoff Model)의 실시간 유출해석 모듈인 GRM RT(Real Time)를 이용해서 실시간 유출해석 시스템을 개발하였다. 실시간으로 수신되는 기상레이더 자료를 기상청의 실시간 AWS 자료를 이용하여 보정한 후 유출해석에 적용하며, 수위관측소 자료로부터 생성되는 유량자료를 이용해서 유출모형을 실시간 보정한다. 본 연구에서는 실시간 유출해석 시스템 구축을 위해서 필요한 데이터베이스를 설계 및 구현하였으며, 분포형 모형과 레이더 자료를 이용한 실시간 유출해석 절차를 정립하였다. 또한 개발된 시스템의 성능을 평가하고 실시간 모형보정에 대한 적용성을 평가하였다. 소양강댐 상류에 위치한 내린천 수위관측소 유역을 대상으로 실시간 유출해석 시스템을 적용하고 그 결과를 평가하였다.

• 한국멀티미디어학회논문지
• /
• 제15권1호
• /
• pp.87-92
• /
• 2012

무선 센서 네트워크는 실시간으로 객체에 대한 정보를 수집하기 위한 기술로 짧은 시간에 많은 양의 데이터가 지속적으로 발생되는 특성을 갖고 있다. 센서로부터 획득되는 많은 양의 데이터 스트림을 효과적으로 처리하기 위해서는 데이터 간의 관계를 정의하여 분석, 사용자가 주목할 만한 상황, 즉 센서 데이터들 중 이상 데이터가 포함되어 있는 것을 발견하는 것이 필수적이라 할 수 있다. 본 논문에서는 센서 데이터 스트림을 효과적으로 처리하기 위해 ECA 규칙을 사용하여 의미있는 데이터를 구성하고, 이를 통해 보다 실용적인 실시간 모니터링 시스템을 제안한다.