• 제목/요약/키워드: Semantic management

검색결과 609건 처리시간 0.025초

Practical and Verifiable C++ Dynamic Cast for Hard Real-Time Systems

  • Dechev, Damian;Mahapatra, Rabi;Stroustrup, Bjarne
    • Journal of Computing Science and Engineering
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    • 제2권4호
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    • pp.375-393
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    • 2008
  • The dynamic cast operation allows flexibility in the design and use of data management facilities in object-oriented programs. Dynamic cast has an important role in the implementation of the Data Management Services (DMS) of the Mission Data System Project (MDS), the Jet Propulsion Laboratory's experimental work for providing a state-based and goal-oriented unified architecture for testing and development of mission software. DMS is responsible for the storage and transport of control and scientific data in a remote autonomous spacecraft. Like similar operators in other languages, the C++ dynamic cast operator does not provide the timing guarantees needed for hard real-time embedded systems. In a recent study, Gibbs and Stroustrup (G&S) devised a dynamic cast implementation strategy that guarantees fast constant-time performance. This paper presents the definition and application of a cosimulation framework to formally verify and evaluate the G&S fast dynamic casting scheme and its applicability in the Mission Data System DMS application. We describe the systematic process of model-based simulation and analysis that has led to performance improvement of the G&S algorithm's heuristics by about a factor of 2. In this work we introduce and apply a library for extracting semantic information from C++ source code that helps us deliver a practical and verifiable implementation of the fast dynamic casting algorithm.

음악정보 검색에서 이용자 자연어 질의의 정확성 연구 (Natural Language Queries for Music Information Retrieval)

  • 이진하
    • 정보관리학회지
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    • 제25권4호
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    • pp.149-164
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    • 2008
  • 실제 이용자들의 필요성을 충족하는 음악정보 검색 시스템을 개발하는데 있어서 실생활의 음악 정보질의에 대한 부족한 이해가 장애가 되고 있다. 이 연구는 실생활 질의의 경험적 분석을 통해 이용자들이 어떻게 음악 정보를 찾는지에 대한 이론적인 이해를 돕고자 한다. 그 중에서도 미래의 음악정보 검색 시스템의 디자인, 특히 잠재적인 접근점을 선택하는데 있어서 결정적인 정보를 제공하는 역할을 하게 될 실생활의 음악정보 질의 내에서 이용자들이 제공한 정보의 정확성을 검토하고 있다. 이 연구는 이용자의 정보 중 상당 부분이 부정확한 정보임을 보여주며, 이런 부정확성과 불확실성에도 불구하고 다수의 질의가 성공적임을 알려준다. 또한 어용론의 이론으로써 부정확한 질의의 예기치 않은 성공에 대한 부분적 설명을 하였다.

사이버네틱스 관점에서 본 넷 아트에 나타난 의미론적 분석 (A Semantics Analysis in the Net Arts fran a Cybernetics Perspective)

  • 은창익
    • 디지털산업정보학회논문지
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    • 제7권3호
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    • pp.123-136
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    • 2011
  • Arts gains a new relation as the new academic area that deals with living organisms and through this technology, it affects everything, such as the body, entity, consciousness and unconsciousness to bring an overall change. Based on this premise, arts require a different interpretation from the previous product-focused interpretation or the analysis focusing on the aesthetics. As the result of arts using the scientific methods, I examined the changes of the arts semantics and how it evolved with what kind of contents and characteristics. The net art with the internet base also form a close relationship with the social and cultural codes. In categorizing the social issues and the topical discussions with semantic factors that evolve from the digital biological perspective, it can be divided into four types of complex interaction, positive feedback negative feedback, and amplification of unsettledness. Based on the characteristics of the multimedia and the interactive reaction, the technique and the imagery amplify the message through a spatial and timely meeting in a mutual repletion. In other words, the emotional communication is used to attempt the messages from the products and the expression in various methods.

추상화 정보 데이터베이스 기반 협력적 질의 응답 (Cooperative Query Answering Based on Abstraction Database)

  • 허순영;이정환
    • 한국경영과학회지
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    • 제24권1호
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    • pp.99-117
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    • 1999
  • Since query language is used as a handy tool to obtain information from a database, a more intelligent query answering system is needed to provide user-friendly and fault-tolerant human-machine Interface. Frequently, database users prefer less rigid querying structure, one which allows for vagueness in composing queries, and want the system to understand the intent behind a query. When there is no matching data available, users would rather receive approximate answers than a null information response. This paper presents a knowledge abstraction database that facilitates the development of such a fault-tolerant and intelligent database system. The proposed knowledge abstraction database adepts a multilevel knowledge representation scheme called the knowledge abstraction hierarchy(KAH), extracts semantic data relationships from the underlying database, and provides query transformation mechanisms using query generalization and specialization steps. In cooperation with the underlying database, the knowledge abstraction database accepts vague queries and allows users to pose approximate queries as well as conceptually abstract queries. Specifically. four types of vague queries are discussed, including approximate selection, approximate join, conceptual selection, and conceptual Join. A prototype system has been implemented at KAIST and is being tested with a personnel database system to demonstrate the usefulness and practicality of the knowledge abstraction database in ordinary database application systems.

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연관색인법(聯關索引法)의 이론(理論)과 실제(實際) (Relational indexing: theory and practice)

  • 김태수
    • 정보관리학회지
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    • 제1권1호
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    • pp.25-42
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    • 1984
  • 정보(情報)의 축적(蓄積)과 검색(檢索)을 위한 개념(槪念) 조직과정(組織過程)에서는 개념(槪念) 뿐만 아니라 이들 개념간(槪念間)의 상관관계(相關關係)가 명확히 표현되어야 하며 이를 위해서는 인간(人間)의 사고과정(思考科程)에 기초해야 한다. 연관색인법(聯關索引法)에서는 9개의 연관기호(聯關記號)를 통하여 문신 중에서 각 개념간의 관계표현이 가능하며 이들 개념을 순열(順列)시키므로써 주제색인(主題索引)으로서의 기능을 수행할 수 있으며 기존의 색인(索引)시스템에 비해 검색효율의 개선(改善)을 초래할 수 있을 것이다.

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냄새 강도에 따른 후각 감성 변화 (Changes of Olfactory Sensibility with Odor Intensity)

  • 민병찬;서한석;이진숙
    • 산업경영시스템학회지
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    • 제30권4호
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    • pp.13-20
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    • 2007
  • The aim of this study was to investigate effects of odor intensity on the olfactory sensibility and sensibility structure. Three odor samples(B, C, and D) of T&T olfactometer were selected by the preference rank : the lowest preference(C) ; the moderate one(B) ; and the highest one(D). Three levels(-1, +1, and +3) of odor intensity at each sample were presented to 50 subjects(25 female, 25 male), and the olfactory sensibility was rated by using semantic differential scale composed 25 sensibility characteristics. At each sample, the olfactory sensibility was significantly affected by the odor intensity. Moreover, the structure of olfactory sensibility was influenced by the odor intensity. However, two sensibility factors such as 'aesthetics' and 'intensity' were common factors, whereas 'mildness', 'complexity', and 'activity' were unique factors with odor intensity. In conclusion, the olfactory sensibility was significantly affected by the odor intensity and the odor preference.

의미론적 계층 데이터 관리와 통합 데이터 모델을 통한 Changing Dimension 관리에 관한 연구 (A Study on the Changing Dimension Management Methodology With Semantic Layer Data Management and Integrated Data Model)

  • 박경석;김찬호;송혜은;유영복
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2004년도 추계학술발표논문집(상)
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    • pp.101-104
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    • 2004
  • Business Intelligence 나 DSS 구축과 운영을 위한 근간은 기업의 통합 데이터 인프라로서의 Data Warehouse 구축이 중심을 이룬다. Data Warehouse 는 통합적, 시계열적, 비휘발적, 주제중심적 Data로 구성된다. 이러한 특성이 이론적으로 정교함에도 불구하고 현실적인 프로젝트를 진행함에 있어서 많은 어려움을 발생시킨다. 이러한 문제의 가장 핵심적인 원인이라면 운영시스템의 변화에 따른 운영상의 리스크와 함께 Subject Area 의 요소적 변경에서 그 원인을 찾을 수 있다. 초기에 Data Warehouse 가 아무리 Business User 의 요구사항을 제대로 충족시킬 수 있다 하더라도 시간의 경과에 따라 운영시스템의 변화와 Subject Area 의 요소적 변경은 피할 수 없는 사실인데 이러한 환경에 유연하게 대처할 수 있는 Data Warehouse 가 구축되지 못한다면 결국 Data Warehouse 프로젝트는 현업의 Business 적 문제와는 거리가 먼 고비용을 투자하고 아무런 수익적 가치도 내지 못하는 거추장스러운 시스템에 지나지 않을 것이다. 본 논문에서는 Dimension 관리의 핵심이라고 할 수 있는Changing Dimension 관리 기법과 함께 EDW(Enterprise Data Warehouse)방식의 아키텍처를 중심으로 한 통합데이터모델과 함께 OLAP 메타데이터에 기반한 복합적이면서도 현실적인 Data Warehouse 설계를 제시하고자 한다

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자동 초록을 위한 지식 기반 시스템 설계에 관한 연구 (A Study on the Knowledge-Based System for Automaic Abstracting)

  • 최인숙
    • 정보관리학회지
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    • 제6권1호
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    • pp.93-117
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    • 1989
  • 본 연구에서는 자연언어 텍스트 분석을 통해 초록을 생성하기 위하여 특정 주제분 야의 지식에 입각하여 운영되는 지식 기반 시스템을 설계하였다. 주제 영역은 상표법 관계 대법원 판결서를 대상으로 하였으며 지식 베이스는 판결서의 내용을 담을 수 있는 틀과 상 표법 조문 지식, 상품 구분 지식을 프레임과 의미 네트워크로 표현하여 구성하였다. 초록을 생성하는 과정은 (1) 텍스트를 이해하기 위하여 필요한 주제분야지식을 미리 체계적으로 조 직하여 지식 베이스를 구성하고 주요 정보가 들어갈 자리를 괄호로 둔 채 그 정보들을 연결 하는 일반적인 내용만 기술한 예비 초록을 각 경우별로 준비한 다음 (2) 이러한 지식에 입 각하여 입력 테스트를 분석하고 초록에 필요한 주요 정보를 추출하며 (3) 입력 테스트에 해 당하는 예비 초록을 호출하여 그의 괄호 안에 필요한 정보를 채워 초록을 완성하는 3 단계 로 구성된다.

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Risk Communication Networks in South Korea: The Case of the 2017 Gangneung Wildfire

  • Oh, Jeongmin;Jung, Kyujin;Song, Minsun
    • Journal of Contemporary Eastern Asia
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    • 제20권2호
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    • pp.85-107
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    • 2021
  • Wildfires have become increasingly common and intense in South Korea because of climate change, but few have recognized the catastrophic level of the problem. Given the significant impact of wildfires, emergency management stakeholders must have effective risk communication structures for rapidly responding to such phenomena and overcoming geographical difficulties. Despite the country spending billions of dollars to build a big databased early warning system, risk communication flow during the 2017 Gangneung wildfire was ineffective, thereby causing substantial economic, social, and environmental losses. To examine the patterns of information exchange in South Korea's risk communication networks and their structural characteristics during the wildfire, we conducted semantic and network analyses of real-time data collected from social media. The results showed that the inefficient flow of risk information prevented emergency responders from adequately assessing the emergency and protecting the population. This study provides new insights into effective risk communication responses to catastrophic events and methods of research on webometric approaches to emergency management.

Indoor Semantic Data Dection and Indoor Spatial Data Update through Artificial Intelligence and Augmented Reality Technology

  • Kwon, Sun
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.1170-1178
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    • 2022
  • Indoor POI data, an essential component of indoor spatial data, has attribute information of a specific place in the room and is the most critical information necessary for the user. Currently, indoor POI data is manually updated by direct investigation, which is expensive and time-consuming. Recently, research on updating POI using the attribute information of indoor photographs has been advanced to overcome these problems. However, the range of use, such as using only photographs with text information, is limited. Therefore, in this study, and to improvement this, I proposed a new method to update indoor POI data using a smartphone camera. In the proposed method, the POI name is obtained by classifying the indoor scene's photograph into artificial intelligence technology CNN and matching the location criteria to indoor spatial data through AR technology. As a result of creating and experimenting with a prototype application to evaluate the proposed method, it was possible to update POI data that reflects the real world with high accuracy. Therefore, the results of this study can be used as a complement or substitute for the existing methodologies that have been advanced mainly by direct research.

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