• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.43-46
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• 2002

B2B 전자상거래와 같이 XML을 이용한 정보교환이 확산되고 있으며 이에 따라 상호 교환되는 정보에 대하여 체계적이며 안정적인 정장관리가 요구되고 있다. 이를 위해 XML 응용과 데이터베이스 연계를 위한 다양한 연구가 관계형 데이터베이스를 중심으로 수행되었다. 본 논문에서는 EER 스키마로부터 XML 문서로 자동생성 되는 것을 단순화하기 위하여 알고리즘을 기술하고 관계형 데이터베이스 스키마로 변환을 시도했다. 특히 개념적 데이터 모델에 의해서 기술된 데이터 구조를 DTD로(Document Type Definition) 변환하는 방법을 나타낸다. 이 변환의 중요한 목적은 개념 스키마로부터 구조적인 정보를 가능한 한 많이 보존하는 것이다. 이것은 XML 파서가 가능한 한 일부분의 상태를 확인하고 서로 다른 데이터베이스사이의 데이터교환을 단순화한다. 특히 데이터베이스 스키마에서 XML 문서로 데이터를 가져오는 것이다. 개념 스키마의 알고리즘을 기준으로 하는 것은 매우 일반적이고 개념적 데이터 베이스의 데이터뿐만 아니라 객체-관계 데이터베이스의 데이터에 대해서도 알고리즘이 모델링될 것이다.

• Korean Journal of Construction Engineering and Management
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• v.5 no.2 s.18
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• pp.153-161
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• 2004

The systematic material and labor management planning should be established on accomplished EVM data. The matrix method of integrated cost and schedule was used with common category concept according to the construction project control system. The construction project control system was suggested through analyzing process and data modeling based on integrated cost, schedule and material. Information of construction project can be developed the relationship between the field data and the integrated cost, schedule database. Process and data modelling is provide a standard data format which are related to the material, labor management based on integrated cost, schedule database.

• Journal of Food Hygiene and Safety
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• v.35 no.6
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• pp.607-617
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• 2020

Human bio-monitoring (HBM) data is a very important resource for tracking total exposure and concentrations of a parent chemical or its metabolites in human biomarkers. However, until now, it was difficult to execute the integration of different types of HBM data due to incompatibility problems caused by gaps in study design, chemical description and coding system between different sources in Korea. In this study, we presented a standardized code system and HBM knowledge model (KM) based on relational database modeling methodology. For this purpose, we used 11 raw datasets collected from the Ministry of Food and Drug Safety (MFDS) between 2006 and 2018. We then constructed the HBM database (DB) using a total of 205,491 concentration-related data points for 18,870 participants and 86 chemicals. In addition, we developed a summary report-type statistical analysis program to verify the inputted HBM datasets. This study will contribute to promoting the sustainable creation and versatile utilization of big-data for HBM results at the MFDS.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.180-182
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• 2002

전력 시장의 자율 경쟁체제가 본격화되면서 기존 공급자 중심의 시장은 급격하게 사용자 중심의 시장으로 재편되어 가고 있다. 기존의 최소한의 '데이터'라는 개념은 최대한의 '정보'라는 개념으로 변화되었다. 정보의 신속하고 효율적인 관리는 변전소 자동화 시스템의 핵심 전략이자 이를 기반으로 한 전력 시스템의 IT화를 가속화시키는 원동력이 되었다. 외국의 경우 1990년대 초에 등장한 UCA2(Utility Communication Architecture)를 기반으로 한 IEC 61850(Communication Networks and systems in substation)이라는 새로운 통신 아키텍처의 도입을 서두르고 있다. IEC 61850은 IEC에서 추진중인 표준화작업의 일환으로 기존의 포인트와 태그(address) 중심의 전력 SCADA 시스템과는 달리 디바이스 및 관련 정보를 데이터 클래스 모델링을 통해 객체화하고 이 표준 객체를 통해 공통의 언어로 통신을 하는 방식으로 wire 중심이 아닌 bus 중심의 통신 방식(Ethernet)을 채용하여 대용량 정보의 실시간 전송 및 이기종간 통신이 가능한 장점을 가지고 있다. 본 논문에서는 IEC 61850을 중심으로 변전소 자동화 시스템 및 전력 시스템의 IT화와 관련된 표준 통신 프로토콜들을 소개하고 전력시스템과 변전소 환경이라는 특수 상황을 고려하여 새롭게 등장한 아키텍처의 특징을 살펴본다.

• Spatial Information Research
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• v.13 no.1 s.32
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• pp.43-53
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• 2005

This paper presents tile modeling of non-point source pollutants runoff and its desirable water environmental management to closed waterbody. To obtain spatially distributed environmental information, fro have used contour data to extract stream channels automatically and to divide networks of watershed. A Quasi Digital Elevation Model (DEM) has been developed, validated, and adopted to estimate the runoff of total nitrogen pollutant from watershed. The GIS-linked model can be applied effectively to the non-point source pollutants from watersheds considering water conditions in receiving waters. It will be useful to manage water environment in receiving waters.

• Journal of Digital Convergence
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• v.15 no.6
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• pp.229-236
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• 2017

An efficient frequent pattern algorithm is essential for mining association rules as well as many other mining tasks for convergence with its application spread over a very broad spectrum. Models for mining pattern have been proposed using a FP-tree for storing compressed information about frequent patterns. In this paper, we propose a centroid frequent pattern growth algorithm which we called "CAWFP-Growth" that enhances he FP-Growth algorithm by making the center of weights and frequencies for the itemsets. Because the conventional constraint of maximum weighted support is not necessary to maintain the downward closure property, it is more likely to reduce the search time and the information loss of the frequent patterns. The experimental results show that the proposed algorithm achieves better performance than other algorithms without scarifying the accuracy and increasing the processing time via the centroid of the items. The MapReduce framework model is provided to handle large amounts of data via a pseudo-distributed computing environment. In addition, the modeling of the proposed algorithm is required in the fully distributed mode.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10a
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• pp.97-99
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• 2004

현재의 웹 환경에서의 정보는 점점 대량화되고 있으며, 정보에 대한 의미처리가 지원되지 않는 까닭에 많은 양의 정보가 무분별하게 검색되고 필요한 정보를 찾는데 많은 노력이 필요하다. 이를 해결하고자 XML의 의미태그를 중심으로 한 메타데이터 정보 모델링 등이 출현하였고, 이를 개념 수준의 의미처리로 추상화한 온톨로지(ontology) 기술이 개발되게 되었다. 온톨로지는 컴퓨터가 처리할 수 있는 명시적인 개념 표현을 상호 공유할 수 있도록 하여 줌으로써, 컴퓨터가 의미를 이해하고 추론할 수 있는 기반을 제공한다. 최근에는 여러 온톨로지 언어는 기술 논리(Description Logic)의 의미 모델에 기반을 두고 있는 OWL언어로 표준화되고 있다. 그러나, 온톨로지 언어를 사용한 직접적인 온톨로지 구축은 거의 불가능하다. 본 논문에서는 지식 표현의 기초가 되고 OWL의 이론적 기반이 되고 있는 프레임 구조로 개념 모델링 하는 방법을 통해 OWL기반의 온톨로지 구축을 보다 편리하고 효과적으로 수행할 수 있는 방법을 제공하며, 효율적인 OWL 문서의 생성과 편집 방안을 도출한다.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.4
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• pp.227-238
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• 2013

The business based existing BPMN model is a lack of service oriented modeling techniques. Therefore, it requires a layered technique of service oriented business modeling so that can meet the design for a complex application system, developing a system based on SOA. In order to enhance reusability and modularity of BPMN business model, this paper proposes a metamodel and business modeling process based on this metamodel that can hierarchically build a BPMN model. Towards this end, the XL-BPMN metamodel hierarchically established based on MDA and MVS styles are first defined. Then a BPMN service modeling process is constructed based on modeling elements of this metamodel according to the modeling phases. Finally, the result of a case study in which the proposed method is applied to an online shopping mall system is discussed. With the use of well-defined metamodel and modeling process, it is hoped that it can be shown that a service dominated and layered BPMN business model can be established, and that the modularity and reusability of the constructed BPMN business model can be maximized.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.763-778
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• 2022

In this study we aim to identify the core technologies that play central roles along with the peripheral technologies that contribute to the technology convergence in digital healthcare. A total of 376 korean-patents related to healthcare were gathered from 2011 to 2020, and a topic modeling technique and a network analysis were conducted on the collected data. Six major topics were derived through the topic modeling procedure which are "data collection", "signal measurement", "health management", "data transmission", "diagnostic treatment", and "measurement device". Each of the six topics were analyzed to depict relations among technologies, specify the convergence characteristics, and identify the core-technology through centrality analysis. The study illustrates the present status of digital healthcare technology development and the technological convergence in South Korea and is anticipated to help establish policies to foster healthcare industry.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.463-476
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• 2022

After industrialization in the past, the automobile industry has continued to grow centered on internal combustion engines, but is facing a major change with the recent 4th industrial revolution. Most companies are preparing for the transition to electric vehicles and autonomous driving. Therefore, in this study, topic modeling was performed based on LDA algorithm by collecting 4,002 domestic papers and 68,372 overseas papers that contain keywords related to CASE (Connectivity, Autonomous, Sharing, Electrification), which represent future automobile trends. As a result of the analysis, it was found that domestic research mainly focuses on macroscopic aspects such as traffic infrastructure, urban traffic efficiency, and traffic policy. Through this, the government's technical support for MaaS (Mobility-as-a-Service) is required in the domestic shared car sector, and the need for data opening by means of transportation was presented. It is judged that these analysis results can be used as basic data for the future automobile industry.