• Title/Summary/Keyword: common data

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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
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    • v.21 no.5
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    • pp.57-64
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    • 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.

Development of Common Data Standard for Airports Facilities based on Building Information Modeling (BIM) (공항시설물에 대한 BIM 기반의 공통 데이터 표준 구축 방안)

  • Jung, Euisoo;Kim, Kee-Woong;Choi, Youn-Chul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.29 no.3
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    • pp.100-110
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    • 2021
  • Building Information Modeling(BIM) technology continues to develop and is now being applied to infrastructure facilities. As smart technology based on BIM is applied to the construction industry, the construction of the same data in a common environment is considered to be a very important step in various applications. This study was conducted on methods to establish an open BIM-based airport facility information common data environment. Therefore, this study develops the element technology to establish a common data environment for the integrated management of airport facility information, and aims to standardize data in the common data environment among various technologies and applications. In order to achieve the aim, in this study, the required technologies were derived by examining the common data environment and examining the civil engineering facility field and the case of integrated airport facility management. Through this, standards and development for information standard framework, information requirement level, BIM guidebook, and BIM library were developed in connection with national and higher standards. Through these standards, it is expected that the integrated management of various airport facilities will be efficiently carried out through a standard data platform in the future.

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
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    • v.23 no.12
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    • pp.65-72
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    • 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 Study on Exploring Direction for Future Education for the Common Good Based on Big Data (빅데이터 기반 공동선 증진을 위한 미래교육 방향성 탐색 연구)

  • Kim, Byung-Man;Kim, Jung-In;Lee, Young-Woo;Lee, Kang-Hoon
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.37-46
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    • 2022
  • The purpose of this study is to provide basic data onto preparing soft landing plan of future education policy by exploring direction of future education for the common good using big data and keyword network analysis. Based on the big data provided by Textom, data was collected under the keyword 'future education + common Good' and then keyword network analysis was performed. As a result of the research, it was found that 'common good', 'social', 'KAIST future warning', 'measures', 'research', 'future education', 'politics' were common keywords in the social awareness of future education for the common good. The results of this study suggest that the social awareness of future education for the common good is related to factors related to human, physical environment, social response, academic interest, education policy, education plan, and related variables, It was closely related. Based on these results, we suggested implications for the support for the preparation of a soft landing plan of future education for the common good.

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
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    • v.16 no.4
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    • pp.791-799
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    • 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.

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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
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    • v.28 no.3
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    • pp.1-14
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    • 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.

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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
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    • v.21 no.1
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    • pp.115-123
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    • 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 on the Trend of Childhood Common Cold Treatment Using Health Big Data (보건의료 빅데이터를 활용한 소아 감기 치료의 동향 조사)

  • Kim, Tae Jeong;Sung, Hyun Kyung;Min, Sang Yeon
    • The Journal of Pediatrics of Korean Medicine
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    • v.36 no.2
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    • pp.1-12
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    • 2022
  • Objectives We analyzed visiting patterns to medical institutions and cost per visit according to the common cold patients aged 0-19 years. We analyzed Korean medical treatment for common cold. Methods Using the Pediatric Patient Sample data of the Health Insurance Review and Assessment Service (HIRA-PPS), we analyzed the data on health insurance claims of approximately 1 million people from 2017 to 2019. The data included the number of patients who visited the hospital due to common cold for the first and second time, the ratio of second visits by type of medical institution, and the status of prescriptions in Korean medical institutions. Results The number of patients visiting healthcare providers for common cold was higher in Western medical institutions than in Korean medical institutions. However, the number of second visits was higher in Korean medical institutions. Acupuncture is the most commonly used medical treatment in Korean medical institutions for common cold. Herbal medicine for common cold was usually prescribed for 2-3 days for children and adolescents. Conclusions Although the average medical cost of Korean medical institutions was higher than that of Western medical institutions, the rate of second visits to Korean medical institutions was higher because of the demand for Korean medical treatment

Study on the Application of Big Data Mining to Activate Physical Distribution Cooperation : Focusing AHP Technique (물류공동화 활성화를 위한 빅데이터 마이닝 적용 연구 : AHP 기법을 중심으로)

  • Young-Hyun Pak;Jae-Ho Lee;Kyeong-Woo Kim
    • Korea Trade Review
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    • v.46 no.5
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    • pp.65-81
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    • 2021
  • The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

Design of Crosstalk Compensation Circuit in TFT-LCDs (박막트랜지스터 액정표시소자의 화소간섭 보상회로설계)

  • 정윤철;박종철;김이섭
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1374-1382
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    • 1995
  • In TFT-LCDs, as the display size area becomes larger, and the resolution higher, we have to consider the image degradation effects due to the incorporation of the TFT-LCD parameters such as the data-line resistance, the common electrode resistance, the data-line to common parasitic capacitance, and the output characteristics of driver ICs. One of the degradation effects is crosstalk resulting from the coupling between the source bus-line and common electrode. Since a source signal which represents a large number of display data is supposed to vary frequently, the common signal level is affected through the coupling effect, resulting in the degradation of nearby pixel drive signals. Therefore, we proposed a method to compensate for this source-common electrode coupling effect, we also designed and experimented the feasibility of our crosstalk compensation circuit in the actual TFT-LCD. We saw that the newly designed compensation circuit greatly reduced the crosstalk in display pattern image.

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