• Title/Summary/Keyword: common data model

Search Result 1,253, Processing Time 0.027 seconds

Research on Railway Safety Common Data Model and DDS Topic for Real-time Railway Safety Data Transmission

  • Park, Yunjung;Kim, Sang Ahm
    • Journal of the Korea Society of Computer and Information
    • /
    • v.21 no.5
    • /
    • pp.57-64
    • /
    • 2016
  • In this paper, we propose the design of railway safety common data model to provide common transformation method for collecting data from railway facility fields to Real-time railway safety monitoring and control system. This common data model is divided into five abstract sub-models according to the characteristics of data such as 'StateInfoMessage', 'ControlMessage', 'RequestMessage', 'ResponseMessage' and 'ExtendedXXXMessage'. This kind of model structure allows diverse heterogeneous data acquisitions and its common conversion method to DDS (Data Distribution Service) format to share data to the sub-systems of Real-time railway safety monitoring and control system. This paper contains the design of common data model and its DDS Topic expression for DDS communication, and presents two kinds of data transformation case studied for verification of the model design.

System Reliability Estimation in Bivariate Pareto Model Affected by Common Stress : Bivariate Random Censored Data Case

  • Cho, Jang-Sik
    • Journal of the Korean Data and Information Science Society
    • /
    • v.16 no.4
    • /
    • pp.791-799
    • /
    • 2005
  • We consider two components parallel system in which the lifetimes have the bivariate Pareto model with bivariate random censored data. We assume that bivariate Pareto model is affected by common stress which is independent of the lifetimes of the components. We obtain estimators for the system reliability based on likelihood function and relative frequency. Also we construct approximated confidence intervals for the reliability based on maximum likelihood estimator and relative frequency estimator, respectively. Finally we present a numerical study.

  • PDF

Development and Lessons Learned of Clinical Data Warehouse based on Common Data Model for Drug Surveillance (약물부작용 감시를 위한 공통데이터모델 기반 임상데이터웨어하우스 구축)

  • Mi Jung Rho
    • Korea Journal of Hospital Management
    • /
    • v.28 no.3
    • /
    • pp.1-14
    • /
    • 2023
  • Purposes: It is very important to establish a clinical data warehouse based on a common data model to offset the different data characteristics of each medical institution and for drug surveillance. This study attempted to establish a clinical data warehouse for Dankook university hospital for drug surveillance, and to derive the main items necessary for development. Methodology/Approach: This study extracted the electronic medical record data of Dankook university hospital tracked for 9 years from 2013 (2013.01.01. to 2021.12.31) to build a clinical data warehouse. The extracted data was converted into the Observational Medical Outcomes Partnership Common Data Model (Version 5.4). Data term mapping was performed using the electronic medical record data of Dankook university hospital and the standard term mapping guide. To verify the clinical data warehouse, the use of angiotensin receptor blockers and the incidence of liver toxicity were analyzed, and the results were compared with the analysis of hospital raw data. Findings: This study used a total of 670,933 data from electronic medical records for the Dankook university clinical data warehouse. Excluding the number of overlapping cases among the total number of cases, the target data was mapped into standard terms. Diagnosis (100% of total cases), drug (92.1%), and measurement (94.5%) were standardized. For treatment and surgery, the insurance EDI (electronic data interchange) code was used as it is. Extraction, conversion and loading were completed. R language-based conversion and loading software for the process was developed, and clinical data warehouse construction was completed through data verification. Practical Implications: In this study, a clinical data warehouse for Dankook university hospitals based on a common data model supporting drug surveillance research was established and verified. The results of this study provide guidelines for institutions that want to build a clinical data warehouse in the future by deriving key points necessary for building a clinical data warehouse.

  • PDF

Software Model Integration Using Metadata Model Based on Linked Data (Linked Data 기반의 메타데이타 모델을 활용한 소프트웨어 모델 통합)

  • Kim, Dae-Hwan;Jeong, Chan-Ki
    • Journal of Information Technology Services
    • /
    • v.12 no.3
    • /
    • pp.311-321
    • /
    • 2013
  • In the community of software engineering, diverse modeling languages are used for representing all relevant information in the form of models. Also many different models such as business model, business process model, product models, interface models etc. are generated through software life cycles. In this situation, models need to be integrated for enterprise integration and enhancement of software productivity. Researchers propose rebuilding models by a specific modeling language, using a intemediate modeling language and using common reference for model integration. However, in the current approach it requires a lot of cost and time to integrate models. Also it is difficult to identify common objects from several models and to update objects in the repository of common model objects. This paper proposes software model integration using metadata model based on Linked data. We verify the effectiveness of the proposed approach through a case study.

Extraction of specific common genetic network of side effect pair, and prediction of side effects for a drug based on PPI network

  • Hwang, Youhyeon;Oh, Min;Yoon, Youngmi
    • Journal of the Korea Society of Computer and Information
    • /
    • v.21 no.1
    • /
    • pp.115-123
    • /
    • 2016
  • In this study, we collect various side effect pairs which are appeared frequently at many drugs, and select side effect pairs that have higher severity. For every selected side effect pair, we extract common genetic networks which are shared by side effects' genes and drugs' target genes based on PPI(Protein-Protein Interaction) network. For this work, firstly, we gather drug related data, side effect data and PPI data. Secondly, for extracting common genetic network, we find shortest paths between drug target genes and side effect genes based on PPI network, and integrate these shortest paths. Thirdly, we develop a classification model which uses this common genetic network as a classifier. We calculate similarity score between the common genetic network and genetic network of a drug for classifying the drug. Lastly, we validate our classification model by means of AUC(Area Under the Curve) value.

A Study of Software Product Line Engineering application for Data Link Software

  • Kim, Jin-Woo;Lee, Woo-Sin;Kim, Hack-Joon;Jin, So-Yeon;Jo, Se-Hyeon
    • Journal of the Korea Society of Computer and Information
    • /
    • v.23 no.12
    • /
    • pp.65-72
    • /
    • 2018
  • In this paper, we have studied how to reuse common data link software by applying software product line engineering. Existing common data link software performed different stages of design, implementation, and testing without sharing the accumulated knowledge of different developers. In this situation, developers agreed that sharing the assets of each project and reusing the previously developed software would save human and time costs. Even with the initial difficulties, the common Data Link is a continually proposed project in the defense industry, so we decided to build a product line. The common data link software can be divided into two domains. Among them, the initial feature model for the GUI software was constructed, and the following procedure was studied. Through this, we propose a plan to build a product line for core assets and reuse them in newly developed projects.

A Lifelog Common Data Reference Model for the Healthcare Ecosystem (디지털 헬스케어 생태계 활성화를 위한 라이프로그 공통데이터 참조모델)

  • Lee, Young-joo;Ko, Yoon-seok
    • Knowledge Management Research
    • /
    • v.19 no.4
    • /
    • pp.149-170
    • /
    • 2018
  • Healthcare lifelog, a personal record relating to disease treatment and healthcare, plays an important role in healthcare paradigm shifts in which medical and information technology converge. Healthcare services based on various healthcare lifelogs are being launched domestically by both large corporations and small and medium enterprises, however, they are being built on an individual platform that is dependent on each company. Therefore, the terms of lifelog data are different as well as the measurement specifications are not uniform. This study proposes a reference model for minimum common data required for sharing and utilization of healthcare lifelog. Literature study and expert survey derived 3 domain, 17 essential items, and 51 sub-items. The model provides definition, measurement data format, measurement method, and precautions for each detailed measurement item, and provides necessary guidelines for data and service design and construction for healthcare service. This study has its significance as a basic research supporting the activation of ecosystem by ensuring interoperability of data between heterogeneous healthcare devices linked to digital healthcare platform.

A Study on the Model of an HSDI Common-Rail Injector and the Estimation of Needle Lift (HSDI Common-Rail 인젝터 모델링 및 니들 변위 추정에 관한 연구)

  • 성경훈;박승범;선우명호;나형규
    • Transactions of the Korean Society of Automotive Engineers
    • /
    • v.10 no.1
    • /
    • pp.59-66
    • /
    • 2002
  • This paper presents the process of the needle lift estimation ova common-rail injector fur HSDI(High Speed Direct Injection) diesel engines. A nonlinear mathematical model of dynamic behaviors of common-rail injector is established at first. Based on the mathematical model of the common-rail injector, the methodology of estimating the injector needle lift is introduced. A sliding mode observer is applied to overcome the model uncertainties. The common-rail injector model and the needle lift estimator are verified by simulations and experiments. The simulation and experimental results indicate that the model outputs are in a good agreement with experimental data, and the proposed nonlinear sliding observer can effectively estimate the needle lift.

Data Modeling for Developing the Baseline Network Analysis Software of Korean EMS System (한국형 EMS 시스템의 Baseline 계통 해석용 소프트웨어 개발을 위한 데이터 모델링)

  • Yun, Sang-Yun;Cho, Yoon-Sung;Lee, Wook-Hwa;Lee, Jin;Sohn, Jin-Man
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.58 no.10
    • /
    • pp.1842-1848
    • /
    • 2009
  • This paper summarizes a data modeling for developing the baseline network analysis software of the Korean energy management system (EMS). The study is concentrated on the following aspects. First, the data for operating the each application software are extracted. Some of the EMS network application softwares are selected for basis model. Those are based on the logical functions of each software and are not considered the other softwares. Second, the common data are extracted for equipment model and topological structure of power system in Korea. We propose the application common model(ACM) that can be applied whole EMS network application softwares. The ACM model includes the hierarchy and non-hierarchy power system structure, and is connected each other using the direct and indirect link. Proposed database model is tested using the Korea Electric Power Corporation(KEPCO) system. The real time SCADA data are provided for the test. Through the test, we verified that the proposed database structure can be effectively used to accomplish the Korean EMS system.

A Framework for Supporting RFID-enabled Business Processes Automation

  • Moon, Mi-Kyeing
    • Journal of information and communication convergence engineering
    • /
    • v.9 no.6
    • /
    • pp.712-720
    • /
    • 2011
  • Radio frequency identification (RFID) is an established technology and has the potential, in a variety of applications, to significantly reduce cost and improve performance. As RFID-enabled applications will fulfill similar tasks across a range of processes adapted to use the data gained from RFID tags, they can be considered as software products derived from a common infrastructure and assets that capture specific ions in the domain. This paper discusses a framework that supports the development of RFID-enabled applications based on a business process family model (BPFM), explicitly representing both commonalities and variabilities. To develop this framework, common activities are identified from RFID-enabled applications and the variabilities in the common activities are analyzed in detail using variation point concepts. Through this framework, RFID data is preprocessed, and thus, RFID-enabled applications can be developed without having to process RFID data. Sharing a common model and reusing assets to deploy recurrent services may be considered an advantage in terms of economic significance and the overall product quality afforded.