• Title/Summary/Keyword: knowledge Entity

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A Knowledge-based Electrical Fire Cause Diagnosis System using Fuzzy Reasoning (퍼지추론을 이용한 지식기반 전기화재 원인진단시스템)

  • Lee, Jong-Ho;Kim, Doo-Hyun
    • Journal of the Korean Society of Safety
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    • v.21 no.3 s.75
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    • pp.16-21
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    • 2006
  • This paper presents a knowledge-based electrical fire cause diagnosis system using the fuzzy reasoning. The cause diagnosis of electrical fires may be approached either by studying electric facilities or by investigating cause using precision instruments at the fire site. However, cause diagnosis methods for electrical fires haven't been systematized yet. The system focused on database(DB) construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. The cause diagnosis system for the electrical fire was implemented with entity-relational DB systems using Access 2000, one of DB development tools. Visual Basic is used as a DB building tool. The inference to confirm fire causes is conducted on the knowledge-based by combined approach of a case-based and a rule-based reasoning. A case-based cause diagnosis is designed to match the newly occurred fire case with the past fire cases stored in a DB by a kind of pattern recognition. The rule-based cause diagnosis includes intelligent objects having fuzzy attributes and rules, and is used for handling knowledge about cause reasoning. A rule-based using a fuzzy reasoning has been adopted. To infer the results from fire signs, a fuzzy operation of Yager sum was adopted. The reasoning is conducted on the rule-based reasoning that a rule-based DB system built with many rules derived from the existing diagnosis methods and the expertise in fire investigation. The cause diagnosis system proposes the causes obtained from the diagnosis process and showed possibility of electrical fire causes.

The Role of Implicit Theory of Beauty and Appearance Orientation on Consumers' Perceptions of Multi-Purpose Products (미(美)의 암묵적 이론과 외모지향성이 다목적 제품에 대한 소비자 인식에 미치는 영향)

  • Ju Hae Choi;Quan Zhenglong;Youjung Jun
    • Knowledge Management Research
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    • v.25 no.1
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    • pp.111-134
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    • 2024
  • Cosmetics brands are increasingly offering "multi-purpose" products that serve multiple functions at once, such as an eye cream that could also be used as a lip moisturizer. Yet, there is little research on consumers' perceptions of multi-purpose products and the brands that offer these products. This research examines the impact of consumers' own theory of beauty. We find that endorsing a strong incremental (vs. entity) theory of beauty (i.e., believing that one's beauty is changeable through one's effort rather than innate and unchangeable) reduces consumers' preferences for multi-purpose products, particularly among those who are highly appearance oriented. These consumers' reduced evaluation of multi-purpose products also spills over to their overall brand evaluation. The findings suggest that brand managers should consider consumers' implicit theory of beauty and product preferences when managing product knowledge.

The Study of Class Library Design for Reusable Object-Oriented Software (객체지향 소프트웨어 재사용을 위한 클래스 라이브러리 설계에 관한 연구)

  • Lee, Hae-Won;Kim, Jin-Seok;Kim, Hye-Gyu;Ha, Su-Cheol
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.9
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    • pp.2350-2364
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    • 1999
  • In this paper, we propose a method of class library repository design for provide reuser the object-oriented C++ class component. To class library design, we started by studying the characteristics of a reusable component. We formally defined the reusable component model using an entity relationship model. This formal definition has been directly used as the database schema for storing the reusable component in a repository. The reusable class library may be considered a knowledge base for software reuse. Thus, we used that Enumerative classification of breakdown of knowledge based. And another used classification is clustering of based on class similarity. The class similarity composes member function similarity and member data similarity. Finally, we have designed class library for hierarchical inheritance mechanism of object-oriented concept Generalization, Specialization and Aggregation.

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Design Neural Machine Translation Model Combining External Symbolic Knowledge (심볼릭 지식 정보를 결합한 뉴럴기계번역 모델 설계)

  • Eo, Sugyeong;Park, Chanjun;Lim, Heuiseok
    • Annual Conference on Human and Language Technology
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    • 2020.10a
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    • pp.529-534
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    • 2020
  • 인공신경망 기반 기계번역(Neural Machine Translation, NMT)이란 딥러닝(Deep learning)을 이용하여 출발 언어의 문장을 도착 언어 문장으로 번역해주는 시스템을 일컫는다. NMT는 종단간 학습(end-to-end learning)을 이용하여 기존 기계번역 방법론의 성능을 앞지르며 기계번역의 주요 방법론으로 자리잡게 됐다. 이러한 발전에도 불구하고 여전히 개체(entity), 또는 전문 용어(terminological expressions)의 번역은 미해결 과제로 남아있다. 개체나 전문 용어는 대부분 명사로 구성되는데 문장 내 명사는 주체, 객체 등의 역할을 하는 중요한 요소이므로 이들의 정확한 번역이 문장 전체의 번역 성능 향상으로 이어질 수 있다. 따라서 본 논문에서는 지식그래프(Knowledge Graph)를 이용하여 심볼릭 지식을 NMT와 결합한 뉴럴심볼릭 방법론을 제안한다. 또한 지식그래프를 활용하여 NMT의 성능을 높인 선행 연구 방법론을 한영 기계번역에 이용할 수 있도록 구조를 설계한다.

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Privacy-preserving credential smart contracts using Zokrates

  • Geunyoung Kim;Yunsik Ham;Jaecheol Ryou
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.8
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    • pp.2417-2430
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    • 2024
  • The need for secure user authentication in blockchain-based applications has been growing with the increased adoption of Decentralized Identity (DID) credentials in blockchain. Zokrates, a tool designed to protect user privacy within smart contracts, had a limitation in that it could not accept authenticated user information such as credentials, only allowing the use of manually inputted data. In this paper, we propose a smart contract system that securely validates DID credentials to overcome the limitations of traditional centralized authentication systems. This system ensures the safe identification of users within blockchain-based applications by authenticating their identities in a trusted manner within the blockchain. As the demand for user authentication in blockchain rises, this paper emphasizes the significance of a blockchain-based identity verification system that guarantees both privacy and security. Leveraging the Zero-Knowledge Proof method and utilizing the Zokrates tool, this innovative approach aims to provide solutions for the digital identity verification process, thereby expanding the scope of blockchain technology applications. Moreover, we also provide a CLI for each entity. We help anyone who wants to authenticate their identity using the tool to safely verify it on-chain.

Inferential Structure and Reality Problem in Diagnosis of Oriental Medicine (한의 진단의 추론형식과 실재성)

  • Park, Geong-Mo;Choi, Seong-Hoon;Ahn, Gyu-Seok
    • Journal of The Association for Neo Medicine
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    • v.2 no.1
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    • pp.55-84
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    • 1997
  • Inferential structure and reality problem is a serious issue to O.M.(oriental medicine). The study will analyze this issue through a philosophical and historical comparative study of W.M.M(Western modern medicine) and O.M. First, I presuppose some basic ideas. The first is the division of the 'the philosophy of medicine' and 'the medicine itself'. Second, there is a 'visibility' that discriminate between 'the abstractive concept' and 'the concrete object' in diagnostic terminology. The third is the separation of disease, the entity and disease, the phenomenon. Finally, the distinction between the cause of disease and the nature of disease. Through these basic concepts, this study will analyze O.M's diagnostic methodology, 'Pattern identification of the S.A.S(sign and symptom)'. The results are follows: 1. O.M's views disease as a phenomenon. So, the S.A.S, which is visible, is the disease itself. Tough the analysis and inference of the S.A.S, 證(zheng) the essence is derived. 2. 證(zheng) can be considered as 'the abstractive concept' reflecting the essence of a disease. 3. 證(zheng) is not arrived through causal sequence reasoning but rather by analogical reasoning. 4. 證(zheng) is 'the non-random correlative combination of S.A.S', pattern. These patterns secure the abstractive deduction in reality. that is, The causality, the positivism, the view of disease as entity, and anatomical knowledge are the traits peculiar to W.M.M. But, these properties can not be applied universally to every medical systems. Also, these properties do not indicate the superiority or inferiority of any medical system. 5. 證(zheng) summarizes the patients condition simultaneously with the S.A.S. However, 證(zheng) doesn't necessarily indicate the knowledge about the actual internal organ. That is, Early in O.M.'s history, the diagnostic terminologies including 證(zheng) were analogical reflections of a naive knowledge of internal organs and external environmental factors. Later, the naive knowledge in 證(zheng) changed int new nature, an abstractive concept. The confusion of the concept of disease, the indiscriminate acceptance of Western anatomical knowledge, and the O.M.'s theoretical evolution et are the challenge facing modern O.M. To find solutions, this study looks at the sequence of the birth of W.M.M. and then compares it's system with the O.M. system. The confusion of the concept of disease, the indiscriminate acceptance of Western anatomical knowledge, and the O.M.'s theoretical evolution et are the challenge facing modern O.M. To find solutions, this study looks at the sequence of the birth of W.M.M. and then compares it's system with the O.M. system. It is recommended that O.M. diagnostics should pay close attention to the ambiguity of the diagnostic methodology in order to further development. At present time, the concept and the system peculiar to O.M. can not be explained by common language. but O.M.'s practitioner can not persist in this manner an: longer. Along with the internal development of O.M., the adjustment of O.M.'s diagnostic terminology needs to be adopted.

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Object Directive Manipulation Through RFID

  • Chong, Nak-Young;Tanie, Kazuo
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2731-2736
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    • 2003
  • In highly informative, perception-rich environments that we call Omniscient Spaces, robots interact with physical objects which in turn afford robots the information showing how the objects should be manipulated. Object manipulation is commonly believed one of the most basic tasks in robot applications. However, no approaches including visual servoing seem satisfactory in unstructured environments such as our everyday life. Thus, in Omniscient Spaces, the features of the environments embed themselves in every entity, allowing robots to easily identify and manipulate unknown objects. To achieve this end, we propose a new paradigm of the interaction through Radio Frequency Identification (RFID). The aim of this paper is to learn about RFID and investigate how it works in object manipulation. Specifically, as an innovative trial for autonomous, real-time manipulation, a likely mobile robot equipped with an RFID system is developed. Details on the experiments are described together with some preliminary results.

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Automated Classification of PubMed Texts for Disambiguated Annotation Using Text and Data Mining

  • Choi, Yun-Jeong;Park, Seung-Soo
    • Proceedings of the Korean Society for Bioinformatics Conference
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    • 2005.09a
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    • pp.101-106
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    • 2005
  • Recently, as the size of genetic knowledge grows faster, automated analysis and systemization into high-throughput database has become hot issue. One essential task is to recognize and identify genomic entities and discover their relations. However, ambiguity of name entities is a serious problem because of their multiplicity of meanings and types. So far, many effective techniques have been proposed to analyze documents. Yet, accuracy is high when the data fits the model well. The purpose of this paper is to design and implement a document classification system for identifying entity problems using text/data mining combination, supplemented by rich data mining algorithms to enhance its performance. we propose RTP ost system of different style from any traditional method, which takes fault tolerant system approach and data mining strategy. This feedback cycle can enhance the performance of the text mining in terms of accuracy. We experimented our system for classifying RB-related documents on PubMed abstracts to verify the feasibility.

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A Conformance Test Procedure for the Enterprise JavaBeans (컴포넌트 소프트웨어를 위한 적합성 검증 방법)

  • Joo, Un-Gi;Kim, Joong-Bae
    • IE interfaces
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    • v.17 no.2
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    • pp.149-157
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    • 2004
  • This paper considers a conformity testing problem on EJB(Enterprise JavaBeans). The EJB architecture is a component architecture for the development and deployment of component-based distributed business applications. The objective is to find an optimal test sequence for the conformity test between the EJB specification and an implemented one. For the test sequence, we formulate the problem as a rural Chinese postman tour one and use a linear programming formulation. Based upon the formulations, we suggest a conformance test procedure and show its efficiency by applying the procedure to the CMP(Container- Managed persistency) entity bean of the EJB.

Recurrent Bacterial Meningitis Accompanied by A Spinal Intramedullary Abscess

  • Kim, Min-Seong;Ju, Chang-Il;Kim, Seok-Won;Lee, Hyun-Young
    • Journal of Korean Neurosurgical Society
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    • v.51 no.6
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    • pp.380-382
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    • 2012
  • Bacterial meningitis is rarely complicated by an intradural spinal abscess, and recurrent meningitis is an uncommon presentation of a spinal intramedullary abscess. Here, we report a 63-year-old patient with recurrent meningitis as the first manifestation of an underlying spinal intramedullary abscess. To the best of our knowledge, no previous report has been issued on recurrent meningitis accompanied by a spinal intramedullary abscess in an adult. In this article, the pathophysiological mechanism of this uncommon entity is discussed and the relevant literature reviewed.