• Title/Summary/Keyword: control data

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Effects of Parameter Estimation in Phase I on Phase II Control Limits for Monitoring Autocorrelated Data (자기상관 데이터 모니터링에서 일단계 모수 추정이 이단계 관리한계선에 미치는 영향 연구)

  • Lee, Sungim
    • The Korean Journal of Applied Statistics
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    • v.28 no.5
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    • pp.1025-1034
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    • 2015
  • Traditional Shewhart control charts assume that the observations are independent over time. Current progress in measurement and data collection technology lead to the presence of autocorrelated process data that may affect poor performance in statistical process control. One of the most popular charts for autocorrelated data is to model a correlative structure with an appropriate time series model and apply control chart to the sequence of residuals. Model parameters are estimated by an in-control Phase I reference sample since they are usually unknown in practice. This paper deals with the effects of parameter estimation on Phase II control limits to monitor autocorrelated data.

Access Control Mechanism for CouchDB

  • Ashwaq A., Al-otaibi;Reem M., Alotaibi;Nermin, Hamza
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.107-115
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    • 2022
  • Recently, big data applications need another database different from the Relation database. NoSQL databases are used to save and handle massive amounts of data. NoSQL databases have many advantages over traditional databases like flexibility, efficiently processing data, scalability, and dynamic schemas. Most of the current applications are based on the web, and the size of data is in increasing. NoSQL databases are expected to be used on a more and large scale in the future. However, NoSQL suffers from many security issues, and one of them is access control. Many recent applications need Fine-Grained Access control (FGAC). The integration of the NoSQL databases with FGAC will increase their usability in various fields. It will offer customized data protection levels and enhance security in NoSQL databases. There are different NoSQL database models, and a document-based database is one type of them. In this research, we choose the CouchDB NoSQL document database and develop an access control mechanism that works at a fain-grained level. The proposed mechanism uses role-based access control of CouchDB and restricts read access to work at the document level. The experiment shows that our mechanism effectively works at the document level in CouchDB with good execution time.

Radiation image mapping system (방사선 영상 매핑 장치)

  • 최영수;박순용;이종민
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1884-1887
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    • 1997
  • The increasing concern over radiation exposure in the nuclear industry has fostered agrressive efforts to reduce the levels of radiation exposure. One area of the effot to reduce the radiation exposure is the development of a remote radiation monitoring system. Remote radiation monitoring can serve many benificaial functions reduce exposure to radiation by plant personnel, impruve the quality of the data that is collected and recognize the radiation environment easily. Radiation mapping system gives a good information that represents radiation level distribution. The system we have developed consists of a data acquistion parts, mobile robot and remote control parts. Data acquisition parts consist of radiation detection module and vision acquistion module which collect radiation data, visiion data and distance information. In remote control parts, the acquision data are processed and displayed. We have constructed radiation mapping image by overlaying the vision and radiation data. The radiation mapping techniques for displaying the results of the survey in an easily comprehendable form will facilitate a better understanding of the radiation environment in the facility. This system can reduce workers radiation exposure and aid to help work plan, so it has significant benifits in cost and safety.

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Development of control module for FMS construction (FMS 구축을 위한 제어 module 개발)

  • 최홍태;배용환;박재홍;이석희
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.1090-1095
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    • 1992
  • This paper describes the systematic control method of process information transfer and machine cell control in FMS implementation. We have constructed an experimental FMS computer network and control system. The system hardware consists of host computer to manage process data and information transfer of machine cells, cell control computers to control machine cells(NC lathe, machining center). On the other hand, software is made up of oredr management module, NC program searching and generation module, NC part program error check module and cell control module. In this study, we could arrive at conclusion as following : The first, each task could be accomplihed by the efficient information transfer in hierachical computer network. The second, data base system of part programs and process control data is needed for the efficint information transfer and production management. Lastly, expansion of FMS control system could be achieved by the hierachical and decentralized computer control system.

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Local T2 Control Charts for Process Control in Local Structure and Abnormal Distribution Data (지역적이고 비정규분포를 갖는 데이터의 공정관리를 위한 지역기반 T2관리도)

  • Kim, Jeong-Hun;Kim, Seoung-Bum
    • Journal of Korean Society for Quality Management
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    • v.40 no.3
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    • pp.337-346
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    • 2012
  • Purpose: A Control chart is one of the important statistical process control tools that can improve processes by reducing variability and defects. Methods: In the present study, we propose the local $T^2$ multivariate control chart that can efficiently detect abnormal observations by considering the local pattern of the in-control observations. Results: A simulation study has been conducted to examine the property of the proposed control chart and compare it with existing multivariate control charts. Conclusion: The results demonstrate the usefulness and effectiveness of the proposed control chart.

Analysis of a network for control systems in nuclear power plants and a case study (원자력 발전소 제어계통을 위한 네트워크의 해석과 사례 연구)

  • Lee, Sung-Woo;Yim, Han-Suck
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.6
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    • pp.734-743
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    • 1999
  • In this paper, a real-time communication method using a PICNET-NP(Plant instrumentation and Control Network for Nuclear Power plant) is proposed with an analysis of the control network requirements of DCS(Distributed Control System) in nuclear power plants. The method satisfies deadline in case of worst data traffics by considering aperiodic and periodic real-time data and others. In addition, the method was used to analyze the data characteristics of the DCS in existing nuclear power plant. The result shows that use of this method meets the response time requirement(100ms).

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Performance analysis of the data link layer of IEC/ISA fieldbus system by simulation model (시뮬레이션 모델을 이용한 IEC/ISA 필드버스 시스템의 데이터 링크 계층 성능 분석)

  • Lee, Seong-Geun;Hong, Seung-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.3
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    • pp.209-219
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    • 1996
  • Fieldbus provides a real-time data communication among field devices in the process control and manufacturing automation systems. In this paper, a Petri Net model of the 1993 draft of IEC/ISA fieldbus which is proposed as an international standard of fieldbus network is developed. Based on the Petri Net model, discrete-event simulation model of IEC/ISA fieldbus network is developed. This paper evaluates the network induced delay in the data link layer of IEC/ISA fieldbus using the simulation model. In addition, an integrated discrete-event/continuous-time simulation model of fieldbus system and distributed control system is developed. This paper investigates the real-time data processing capability of IEC/ISA fieldbus and the effect of network-induced delay to the performance of control system.

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A review of analysis methods for secondary outcomes in case-control studies

  • Schifano, Elizabeth D.
    • Communications for Statistical Applications and Methods
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    • v.26 no.2
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    • pp.103-129
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    • 2019
  • The main goal of a case-control study is to learn the association between various risk factors and a primary outcome (e.g., disease status). Particularly recently, it is also quite common to perform secondary analyses of the case-control data in order to understand certain associations between the risk factors of the primary outcome. It has been repeatedly documented with case-control data, association studies of the risk factors that ignore the case-control sampling scheme can produce highly biased estimates of the population effects. In this article, we review the issues of the naive secondary analyses that do not account for the biased sampling scheme, and also the various methods that have been proposed to account for the case-control ascertainment. We additionally compare the results of many of the discussed methods in an example examining the association of a particular genetic variant with smoking behavior, where the data were obtained from a lung cancer case-control study.

A Design of Control Chart for Fraction Nonconforming Using Fuzzy Data (퍼지 데이터를 이용한 불량률(p) 관리도의 설계)

  • 김계완;서현수;윤덕균
    • Journal of Korean Society for Quality Management
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    • v.32 no.2
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    • pp.191-200
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    • 2004
  • Using the p chart is not adequate in case that there are lots of data and it is difficult to divide into products conforming or nonconforming because of obscurity of binary classification. So we need to design a new control chart which represents obscure situation efficiently. This study deals with the method to performing arithmetic operation representing fuzzy data into fuzzy set by applying fuzzy set theory and designs a new control chart taking account of a concept of classification on the term set and membership function associated with term set.

A Representation for Multithreaded Data-parallel Programs : PCFG(Parallel Control Flow Graph) (다중스레드 데이타 병렬 프로그램의 표현 : PCFG(Parallel Control Flow Graph))

  • 김정환
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.12
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    • pp.655-664
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    • 2002
  • In many data-parallel applications massive parallelism can be easily extracted through data distribution. But it often causes very long communication latency. This paper shows that task parallelism, which is extracted from data-parallel programs, can be exploited to hide such communication latency Unlike the most previous researches over exploitation of task parallelism which has not been considered together with data parallelism, this paper describes exploitation of task parallelism in the context of data parallelism. PCFG(Parallel Control Flow Graph) is proposed to represent a multithreaded program consisting of a few task threads each of which can include a few data-parallel loops. It is also described how a PCFG is constructed from a source data-parallel program through HDG(Hierarchical Dependence Graph) and how the multithreaded program can be constructed from the PCFG.