• Title/Summary/Keyword: Open data

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A Study on b-Traffic Service Platform based on Open data Infrastructure (공공데이터 인프라기반 b-Traffic 서비스 플랫폼 연구)

  • Son, Seok-Hyun;Song, Seok-Hyun;Shin, Hyo-Seop
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2014.07a
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    • pp.117-118
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    • 2014
  • 최근 공공기관의 공공데이터 제공이 활성화 되고 있으며, 이를 활용한 응용서비스에 대한 요구도 증가하고 있는 추세이다. 현재 교통정보예측 플랫폼은 실시간 교통정보 또는 과거 교통정보이력을 분석하여 미래의 교통량이나 도착시간정보를 제공하고 있으나 날씨, 사고 등과 같은 미래 교통정보에 즉각적인 영향을 줄 수 있는 요소를 배제하고 있어 높은 신뢰도를 확보하기 어렵다. 본 논문에서는 교통정보예측에 영향을 주는 요소인 기상, 사고, 교통정보와 같은 공공데이터를 효율적으로 수집 저장 처리할 수 있는 저장방식 및 신뢰도 높은 교통정보를 예측할 수 있는 예측기술이 포함된 b-Traffic 서비스 플랫폼을 제시한다.

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Interoperability of Spatial Data through Open Web Map Server

  • Cho, D.S.;Jang, I.S.;Min, K.W.;Park, J.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.488-490
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    • 2003
  • Over the past few years, a number of studies have been made on web map services, which enable the GIS user to access spatial data through the web. They, however, have focused on only implementation techniques separately, such as map client implementation, map server implementation, communication between client and server, and the map data representation. Therefore, it is hard to share and practical use the spatial data, because they does not ensure interoperability in heterogeneous map servers. In this paper, we have designed and implemented the web map server with open architecture, which complies with the standard interfaces proposed by OpenGIS Consortium (OGC). In particular, we have extended the OGC’s interfaces for a map server to support one or more data sources. This paper has contributed to construction and practical use of web map services by newly proposing the method of implementation of a map server, which could be reused regardless of the types of data sources.

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Development of Wireless Communication Based Operation State Monitoring System for Open Rack Vaporizer (무선 통신 기반 해수식 기화기 운영 상태 모니터링 시스템 개발)

  • Yoo, Seung-Yeol;Joen, Ming-Sung;Lee, Jae-Chul;Kang, Dong-Hoon;Kim, Dong-Goen;Lee, Soon-Sup
    • Journal of the Society of Naval Architects of Korea
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    • v.59 no.5
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    • pp.280-287
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    • 2022
  • An open rack vaporizer is a facility that vaporizes liquefied natural gas using sea water. When a vaporization efficiency of the open rack vaporizer decreases, liquefied natural gas can leak, which can cause great damage to the facility. Operators have to monitor the operation state of the facility in real-time to prevent the accident. However, operators have visited the site and have checked the state by looking at the value of sensors installed in the open rack vaporizer through indicators. For the safe operation of the open rack vaporizer, a monitoring system is needed to monitor the operation state of the open rack vaporizer in real-time without the need for operators to visit the site. In this paper, we developed a long term evolution based monitoring system to monitor the operation state of the open rack vaporizer. The developed system can monitor the real-time operation state of the open rack vaporizer at a control center far from the facility. For the system development, data transmission infrastructure using long term evolution was built. Afterwards a software was developed to monitor the operation state of the open rack vaporizer in real-time using the transmitted data. Finally, performance evaluation was conducted to confirm that the developed system operated successfully without data transmission delay or data missing.

Sharing Product Data among Heterogeneous PDM Systems Using OpenPDM (서로 다른 PDM 시스템 간에 OpenPDM을 이용한 제품데이터의 교환)

  • Yang, Jeong-Sam;Han, Soon-Hung;Mun, Du-Hwan
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.2
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    • pp.89-97
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    • 2008
  • Today's manufacturing environment is becoming a distributed manufacturing process in which a unique and specialized technological background is required in specific domains rather than having a single company execute all the manufacturing processes. This phenomenon is especially true in the automotive industry, where the sharing of product data between companies is rampant; however, this kind of interoperability causes many problems. When each company has its own method of managing product data, the sharing of product data in a distributed environment is a major problem. A data translator module or a data mapping module had to be developed for the exchange of data in heterogeneous systems of product data management (PDM); moreover, this type of module must be continually changed and improved due to the fact that PDM systems change for many reasons. In addition, the growth in corporate partnerships deepens the burden of developing and maintaining this module and creates further data exchange problems due to the increasing complexity of the system. This paper introduces a way of exchanging product data among heterogeneous PDM systems through the use of OpenPDM, which is a kind of virtual data warehouse. The implementation of a PDM integrating system is also discussed with respect to the requirement for a logical integration of product data which are physically distributed.

A Study on Open API of Securities and Investment Companies in Korea for Activating Big Data

  • Ryu, Gui Yeol
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.102-108
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    • 2019
  • Big data was associated with three key concepts, volume, variety, and velocity. Securities and investment services produce and store a large data of text/numbers. They have also the most data per company on the average in the US. Gartner found that the demand for big data in finance was 25%, which was the highest. Therefore securities and investment companies produce the largest data such as text/numbers, and have the highest demand. And insurance companies and credit card companies are using big data more actively than banking companies in Korea. Researches on the use of big data in securities and investment companies have been found to be insignificant. We surveyed 22 major securities and investment companies in Korea for activating big data. We can see they actively use AI for investment recommend. As for big data of securities and investment companies, we studied open API. Of the major 22 securities and investment companies, only six securities and investment companies are offering open APIs. The user OS is 100% Windows, and the language used is mainly VB, C#, MFC, and Excel provided by Windows. There is a difficulty in real-time analysis and decision making since developers cannot receive data directly using Hadoop, the big data platform. Development manuals are mainly provided on the Web, and only three companies provide as files. The development documentation for the file format is more convenient than web type. In order to activate big data in the securities and investment fields, we found that they should support Linux, and Java, Python, easy-to-view development manuals, videos such as YouTube.

Metadata Analysis of Open Government Data by Formal Concept Analysis (형식 개념 분석을 통한 공공데이터의 메타데이터 분석)

  • Kim, Haklae
    • The Journal of the Korea Contents Association
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    • v.18 no.1
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    • pp.305-313
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    • 2018
  • Public open data is a database or electronic file produced by a public agency or government. The government is opening public data through the open data portals and individual agency websites. However, it is a reality that there is a limit to search and utilize desired public data from the perspective of data users. In particular, it takes a great deal of effort and time to understand the characteristics of data sets and to combine different data sets. This study suggests the possibility of interlinking between data sets by analyzing the common relationship of item names held by public data. The data sets are collected from the open data portal, and item names included in the data sets are extracted. The extracted item names consist of formal context and formal concept through formal concept analysis. The format concept has a list of data sets and a set of item name as extent and intent, respectively, and analyzes the common items of intent end to determine the possibility of data connection. The results derived from the formal concept analysis can be effectively applied to the semantic connection of the public data, and can be applied to data standard and quality improvement for public data release.

A Study on Usage of IFD of Open BIM-Based Library (개방형 BIM 기반 라이브러리의 IFD 활용을 위한 기초연구)

  • Cho, Dong-Wan;Kim, In-Han;Seo, Jong-Cheol;Kim, Jong-Hun
    • Korean Journal of Computational Design and Engineering
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    • v.16 no.2
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    • pp.137-145
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    • 2011
  • A variety of BIM libraries are required to apply BIM(Building Information Modeling) software and generate BIM data. However, enterprises are establishing their own libraries using BIM tools, the drawbacks are that these libraries are not open to other users, or they just can be used in some software packages. If IFC(Industry Foundation Classes), the standard format of open BIM, can be applied, the BIM library can be applied in all the BIM software packages. Although the enterprises can collaborate using IFC standard, it is difficult to represent all the property information of the construction materials by IFC. IFD(International Framework for Dictionaries) is used to solve these problems and add the property information of the construction materials easily. Therefore, Open RIM-based library needs to be developed using IFD. In this research, the development and application of BIM library and IFD in domestic and foreign countries were investigated and analyzed, and Open BIM-based IFD scenario was proposed for using, and finally by applying an IFD method, the IFD data was added within an IFC model. Consequently, Open BIM-based library can be extended with rich, formal, and semantic descriptions and enhance data interoperability among BIM software packages adopting Open BIM standard format, by applying the IFD.

Design and Implementation of an Open Object Management System for Spatial Data Mining (공간 데이타 마이닝을 위한 개방형 객체 관리 시스템의 설계 및 구현)

  • Yun, Jae-Kwan;Oh, Byoung-Woo;Han, Ki-Joon
    • Journal of Korea Spatial Information System Society
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    • v.1 no.1 s.1
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    • pp.5-18
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    • 1999
  • Recently, the necessity of automatic knowledge extraction from spatial data stored in spatial databases has been increased. Spatial data mining can be defined as the extraction of implicit knowledge, spatial relationships, or other knowledge not explicitly stored in spatial databases. In order to extract useful knowledge from spatial data, an object management system that can store spatial data efficiently, provide very fast indexing & searching mechanisms, and support a distributed computing environment is needed. In this paper, we designed and implemented an open object management system for spatial data mining, that supports efficient management of spatial, aspatial, and knowledge data. In order to develop this system, we used Open OODB that is a widely used object management system. However, the lark of facilities for spatial data mining in Open OODB, we extended it to support spatial data type, dynamic class generation, object-oriented inheritance, spatial index, spatial operations, etc. In addition, for further increasement of interoperability with other spatial database management systems or data mining systems, we adopted international standards such as ODMG 2.0 for data modeling, SDTS(Spatial Data Transfer Standard) for modeling and exchanging spatial data, and OpenGIS Simple Features Specification for CORBA for connecting clients and servers efficiently.

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A Study on Information Transmission based on OpenAPI (오픈API 기반의 정보전달에 관한 연구)

  • Choi, Shin-Hyeong
    • Advanced Industrial SCIence
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    • v.1 no.1
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    • pp.1-6
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    • 2022
  • As different news is reported every day in our daily life, the amount of data generated around us is enormous. Some of this data is personal, but there are some things that are common to everyone, such as weather and traffic information. This paper is a study on information transmission using public data to use information effectively and quickly, and investigated open API based on public data and API technology. Based on this, we explain a method of transmitting information using an open API that can be easily used in daily life, and propose a method to transmit information using various open APIs by applying this. If public data is used using the suggested method, it is possible to transmit information more easily and accurately, so it is possible to apply it to various fields.

KIGAM Quake: An open platform for seismological data and earthquake research information

  • Moon-Gyo Lee;Youngchai Kim;Hyung-Ik Cho;Han-Saem Kim;Chang-Guk Sun;Yun-Jeong Seong;Il-Young Che
    • Geomechanics and Engineering
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    • v.37 no.3
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    • pp.279-291
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    • 2024
  • The "Korea Institute of Geoscience and Mineral (KIGAM) Quake" is a web-based open platform developed for publicly serving seismological data from 61 stations operated by KIGAM in Korea. The service provides meta-information related to observatory sites, sensors, and recorders necessary for utilizing the seismological data, as well as mainly observed continuous and strong-motion waveforms. The data is available through both the web and International Federation of Digital Seismograph Networks (FDSN) web services (open API), a unified data-providing interface in seismology. The platform aims to strengthen its open nature by offering a signal processing function for strong ground motions that can be controlled by user requests. The processed results can be downloaded in ASCII format, designed to meet the increased demands and accessibility in the earthquake engineering field. The platform also offers earthquake research information produced by KIGAM, such as recent major earthquake source information and academic annual report of earthquakes. Additionally, a site flat file was constructed for the geotechnical characteristics of 61 KIGAM station (KGNET) sites based on direct investigations and estimations.