• Title/Summary/Keyword: Metadata Model

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Implementation of Electronic Nose System applicable to MPEG-V(ISO/IEC 23005) Standardization (MPEG-V(ISO/IEC 23005) 표준적용이 가능한 전자코 시스템 구현)

  • Lim, Hea-Jin;Choi, Jang-Sik;Jeon, Jin-Young;Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.25 no.6
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    • pp.388-393
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    • 2016
  • MPEG-V(ISO/IEC 23005) standardizes normative sensory effects metadata and sensory devices command for adapting the sensory effects between the virtual world and the real world. MPEG-V(Virtual) standardization has been carried out by 3DG(Dimensional Graphics) ad-hoc group inside MPEG Working Group(ISO IEC JTC1/SC29/WG11). For the scent effect, one of the sensory effects within MPEG-V, we proposed an olfactory interaction model including electronic nose and scent display to the ad-hoc group. Recently, we proposed types and elements related to the electronic nose as a sensor defined in MPEG-V standard for olfactory interaction. At the 114th MPEG meeting, the types and elements were consequently reflected on MPEG-V CD(Committee Draft) 4th edition. In this paper, we implement an electronic nose system applicable to MPEG-V standard by using MPEG-V schema, encoder, and decoder in order to assess their adequacy.

Prototyping of Basic Components in Catalog Services of Geo-spatial Information Linked to PostgreSQL (지형공간정보 카탈로그 서비스 기본요소의 PostgreSQL 연동 시험모델 구현)

  • Han, Sun-Mook;Lee, Ki-Won
    • Korean Journal of Remote Sensing
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    • v.26 no.2
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    • pp.133-142
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    • 2010
  • As diverse web-based geos-spatial services are developed, the values of technologies and standards related to this trend are also emphasized. In this study, a prototype supporting mandatory components in OGC standard catalog service is designed and implemented, linked to PostgreSQL, open source DBMS. As the main features, XML metadata server was built with the helps of XML query functions in PostgreSQL. Given target applications with geo-spatial data sources and contents, this model can be applied, and it can be used for extension in other external web-based service systems or applications, because it supports international standard specifications.

Automatic Tag Classification from Sound Data for Graph-Based Music Recommendation (그래프 기반 음악 추천을 위한 소리 데이터를 통한 태그 자동 분류)

  • Kim, Taejin;Kim, Heechan;Lee, Soowon
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.10
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    • pp.399-406
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    • 2021
  • With the steady growth of the content industry, the need for research that automatically recommending content suitable for individual tastes is increasing. In order to improve the accuracy of automatic content recommendation, it is needed to fuse existing recommendation techniques using users' preference history for contents along with recommendation techniques using content metadata or features extracted from the content itself. In this work, we propose a new graph-based music recommendation method which learns an LSTM-based classification model to automatically extract appropriate tagging words from sound data and apply the extracted tagging words together with the users' preferred music lists and music metadata to graph-based music recommendation. Experimental results show that the proposed method outperforms existing recommendation methods in terms of the recommendation accuracy.

A Study of a Digital Archiving Model based on E-ARK (E-ARK 기반 디지털 아카이빙 모델에 관한 연구)

  • Park, Heejin;Han, Sangeun;Oh, Sam-Gyun
    • Journal of the Korean Society for information Management
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    • v.35 no.1
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    • pp.83-101
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    • 2018
  • This study aims to present a model of digital archiving based on E-ARK. It analyzed the international standards and technological specifications designed for digital archiving. The analysis employed in study explored the common specifications including core processes, information packages, and metadata structure needed for digital archiving. Based on the analysis and reviews, this study developed a model for digital archiving, in order to achieve interoperability of information packages throughout the process.

A Generation and Accuracy Evaluation of Common Metadata Prediction Model Using Public Bicycle Data and Imputation Method

  • Kim, Jong-Chan;Jung, Se-Hoon
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.287-296
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    • 2022
  • Today, air pollution is becoming a severe issue worldwide and various policies are being implemented to solve environmental pollution. In major cities, public bicycles are installed and operated to reduce pollution and solve transportation problems, and operational information is collected in real time. However, research using public bicycle operation information data has not been processed. This study uses the daily weather data of Korea Meteorological Agency and real-time air pollution data of Korea Environment Corporation to predict the amount of daily rental bicycles. Cross- validation, principal component analysis and multiple regression analysis were used to determine the independent variables of the predictive model. Then, the study selected the elements that satisfy the significance level, constructed a model, predicted the amount of daily rental bicycles, and measured the accuracy.

A Study on the Model for Shared Cataloging System Based on Metadata (메타데이터 기반 분담목록시스템 모형 구축에 관한 연구 -국내 대학 학술지 논문을 중심으로)

  • 박종섭;이응봉
    • Proceedings of the Korean Society for Information Management Conference
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    • 2002.08a
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    • pp.115-121
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    • 2002
  • 인터넷과 웹 기술의 발전은 전자도서관의 목록정보나 목차정보서비스에서 원문정보서비스로의 변화를 주도하고 있다. 그러나 대학에서 생산하는 학문적 가치가 높은 학술지들은 웹을 통해 원문으로 서비스되고 있지만 상이한 OPAC 시스템과 목록을 위한 통일된 메타데이터의 부재로 원문정보를 공유$.$활용하기가 매우 힘든 실정이다. 본 고에서는 각 대학에서 생산하고 구축된 원문정보를 메타데이터 기반의 목록시스템을 이용하여 모든 대학의 학술지 논문정보를 검색하여 공유할 수 있는 분담목록시스템모형을 제시함으로써 대학 학술지 이용의 효율적 방안을 모색 해보고자 한다.

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An Efficiency Analysis of Management System for Academy Affairs Process Based on MDA (MDA기반 학사관리 프로세스 유효성 분석)

  • Yoon, Jung-Mo;Kim, Chi-Ho
    • The KIPS Transactions:PartD
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    • v.15D no.2
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    • pp.187-196
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    • 2008
  • The system development approach method of the new paradigm, as being standardizing MDA(Model Driven Architecture) in OMG(Object Management Group), the core technique of MDA definite technique structure for system materialization focusing on Model, is to build the design and the statement for system in PIM(Platform Independent Model), Materialization technique, and to build PSM(Platform Specific Model) adapt to materialization environment, and then to be the technique transforming into language Platform suitable to materialization environment. It includes MOF(Meta-Object Facility), UML, XMI(XML Metadata Interchange), CWM(Common Warehouse Metamodel), the core of MDA. Though these operations MDA support automatic tools product the practicable system after carrying out transform operation with the above information. In this thesis, it will be approached how to design and materialize the Bachelor management system based on MDA and the importance of modeling should be emphasized by applying to the approach method based on MDA. It should be suggested how to develop software efficiently, written it out in PIM, and suggested the process transforming PSM into EJB by J2EE Platform. The system is designed and implemented using automatic tool, edit machine(Together Architect 2006 for Eclipse, Edit plus2) supporting MDA and Database Modeling tool(ER/WIN 4.1). In conclusion, it should be suggested the efficiency analysis result for development process of traditional and based on MDA.

Deep Learning Description Language for Referring to Analysis Model Based on Trusted Deep Learning (신뢰성있는 딥러닝 기반 분석 모델을 참조하기 위한 딥러닝 기술 언어)

  • Mun, Jong Hyeok;Kim, Do Hyung;Choi, Jong Sun;Choi, Jae Young
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.4
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    • pp.133-142
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    • 2021
  • With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.

A Representation Model for Reusable Assets To Support User Context

  • Hadji, Hend Ben;Choi, Ho-Jin
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06a
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    • pp.55-59
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    • 2008
  • In the field of software reuse, several methods for storage and retrieval of assets abound. However, these methods often find their limits; they fail to turn up the suitable reusable assets that satisfy the needs of a particular software system under development. Two problems are the root cause of this situation. One is the lack of accurate semantics for describing software assets. The other is the ignorance of the user query context. In such a context, this paper presents an XML-based asset representation model for describing all kinds of software asset that can be reused within software development process. The proposed model provides semantic metadata for describing assets oriented user context in order to build the foundation for semantic reasoning in the retrieval process.

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A Design of Information Model and Standard Metadata for Electronic Resource License Contract (전자자원 라이선스 계약을 위한 표준 메타데이터 및 Information Model 설계)

  • An, Jeong-Eun;Lee, Sang-Gun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.609-612
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    • 2007
  • 최근 정보의 디지털화가 보편화되면서, 웹상에서 전자자원의 이용을 원하는 이용자들의 증가와 함께 전자자원이 이를 생성한 개인(또는 기업 등)의 소유물(자산), 즉 라이선스라는 개념이 부각되고 있다. 이용자의 전자자원의 접근과 이용은 라이선스 계약 조건 범위 내에서 허용되어야 하므로 전자자원의 라이선스와 관련한 데이터요소들의 개발 및 이를 통한 체계적 관리가 필요하다. 따라서, 본 논문에서는 이와 같이 전자자원의 라이선스 계약을 용이하게 하기위해 전자자원을 효율적으로 관리할 수 있는 전자자원 라이선스 관련 표준 메타데이터를 설정하고, 타 메타데이터와의 교환과 통합을 위한 기본정보를 제공하는 Information Model을 설계하였다.

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