• Title/Summary/Keyword: Open Domain

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New Approach to Inter-domain Multicast Protocols

  • Leal, Raquel Perez;Cachinero, Juan Angel;Martin, Encarna Pastor
    • ETRI Journal
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    • v.33 no.3
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    • pp.355-365
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    • 2011
  • IPTV broadcast channels and video content distribution are increasingly saturating network paths. New solutions based on inter-domain multicast protocols could contribute to the enhancement of multimedia content distribution over the Internet. The aim of this paper is to propose new capabilities for an existing inter-domain multicast protocol, the Protocol Independent Multicast-Sparse Mode. We describe the modified protocol and analyze its behavior using newly developed tools based on an open-source software simulator. The resulting protocol does not require topology information, which is advantageous for easier deployment. In addition, the adopted solution avoids inherent problems with inter-domain multicast routing, such as multiple paths and path asymmetries.

Domain Analysis on the Field of Open Access by Co-Word Analysis (동시출현단어 분석 기반 오픈 액세스 분야 지적구조에 관한 연구)

  • Seo, SunKyung;Chung, EunKyung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.1
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    • pp.207-228
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    • 2013
  • Due to the advance of scholarly communication, the field of open access has been studied over the last decade. The purpose of this study is to analyze and demonstrate the field of open access via co-word analysis. The data set was collected from Web of Science citation database during the period from January 1998 to July 2012 using the Topic category. A total of 479 journal articles were retrieved and 8,643 noun keywords were extracted from the titles and abstracts. In order to achieve the purpose of this study, network analysis, clustering analysis and multidimensional scaling mapping were used to examine the domain and the sub-domains of open access field. 18 clusters in the network analysis are recognized and 4 clusters are shown in the map of multidimensional scaling. In addition, the centrality analysis in the weighted networks was used to explore the significant keywords in this field. The results of this study are expected to demonstrate and guide the intellectual structure and new approaches of open access field.

Investigation on the Difficulties During Middle School Students' Finding Inquiry Topics on Open-Inquiry Activities (중학교 학생들의 자유탐구활동 중 주제선정단계에서 나타난 어려움 조사)

  • Jung, Woo-Kyung;Lee, Jun-Ki;Oh, Sang-Wook
    • Journal of The Korean Association For Science Education
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    • v.31 no.8
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    • pp.1199-1213
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    • 2011
  • The purpose of this study was to investigate the difficulties in engaging in open-inquiry activities - especially finding inquiry topics for student themselves. Data were collected from in-depth interviews with 11 middle school students and their open-inquiry worksheets from 4 months of activities. The investigation tools were composed of three domains for topic choice: selecting subjects, making 10 questions, and choosing a topic with the 10 questions. The study revealed that middle school students have difficulties in the domain of 'object selection' and 'finding inquiry topic.' Under the object selection domain, they showed burden of selection of unlimited subject, lack of knowledge on the science object, and lack of interest in object. Under the domain of finding inquiry topic, they have difficulties from their selected topics that were non-scientific, focus only on interest, lack of background information or those that could be resolved by short answers. Each student has difficulty in doing open-inquiry with relatively different seriousness. The findings suggested that an open inquiry program should be provided along with a systematic guide program on finding inquiry topic for open-inquiry activities to be a successful and continual performance gauge.

Intelligent Diagnosis System Based on Fuzzy Classifier (퍼지 분류기 기반 지능형 차단 시스템)

  • Sung, Hwa-Chang;Park, Jin-Bae;So, Jea-Yun;Joo, Young-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.4
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    • pp.534-539
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    • 2007
  • In this paper, we present the development of an intelligent diagnosis system for detecting faults of the low voltage wires. The wire detecting system based on the Time-Frequency Domain Reflectometry (TFDR) algorithm shows the condition of the wires. We analyze the reflected signal which is sent from the wire detecting system and classify the fault type of the wires by using the intelligent diagnosis system. Through the TFDR, generally, the conditions of the wires are classified into the three types - damage, open and short. In order to classify the fault type efficiently, we use the fuzzy classifier which is represented as IF-THEN rules. Finally, we show the utility of the proposed algorithm by performing the simulation which is based on the data of the coaxial cable.

Analysis of Microstrip Line Structures Using the Entire Domain Function along the Transverse Direction of Microstrip Lines (마이크로스트립 라인의 폭방향 전역함수를 이용한 마이크로스트립 구조의 해석)

  • Kim Jong-Sung
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.8 s.338
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    • pp.41-46
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    • 2005
  • Microstrip open-end and linear resonator are analyzed by method of moment (MoM) taking the entire-domain current distribution, found in literature, along the transverse direction of microstrip line. A transverse correlation function which incorporates permittivity, thickness and width of the line is derived. Numerical examples are investigated and compared with the available other data and methods in order to give the validity of the proposed method. It is found that the proposed method can generate more accurate results than the conventional methods.

헬스케어시스템을 위한 역할 기반의 신뢰협상 모델

  • Jo, Hyeon-Suk;Lee, Hyeong
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2007.05a
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    • pp.84-102
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    • 2007
  • Security is crucial for the successful deployment of large distributed systems. Many of these systems provide services to people across different administrative domains. The traditional identity-based access control mechanisms are un scalable and difficult to manage. Unlike the closed systems, open systems provide services to people from different security domains. Healthcare systems need to be highly available in order for the patients to get a timely treatment. The health care information should be available to authorized users both inside the administrative domain and outside the domain, such as pharmacies and insurance companies. In this paper, we first analyzed the necessities and advantages of importing attribute-based trust-management models into open distributed systems. Then we reviewed traditional access-control models and presented the basic elements of the new trust-management model.

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Numerical discrepancy between serial and MPI parallel computations

  • Lee, Sang Bong
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.8 no.5
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    • pp.434-441
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    • 2016
  • Numerical simulations of 1D Burgers equation and 2D sloshing problem were carried out to study numerical discrepancy between serial and parallel computations. The numerical domain was decomposed into 2 and 4 subdomains for parallel computations with message passing interface. The numerical solution of Burgers equation disclosed that fully explicit boundary conditions used on subdomains of parallel computation was responsible for the numerical discrepancy of transient solution between serial and parallel computations. Two dimensional sloshing problems in a rectangular domain were solved using OpenFOAM. After a lapse of initial transient time sloshing patterns of water were significantly different in serial and parallel computations although the same numerical conditions were given. Based on the histograms of pressure measured at two points near the wall the statistical characteristics of numerical solution was not affected by the number of subdomains as much as the transient solution was dependent on the number of subdomains.

R2FID: Joint Reranker in Fusion-In-Decoder for Open Domain Question Answering over Tables (R2FID: Joint Reranker기반 Fusion-In-Decoder를 이용한 오픈 도메인 테이블 질의 응답)

  • Sung-Min Lee;Eunhwan Park;Seung-Hoon Na;Daeryong Seo;Donghyeon Jeon;Inho Kang
    • Annual Conference on Human and Language Technology
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    • 2022.10a
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    • pp.100-104
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    • 2022
  • 오픈 도메인 질의 응답(Open Domain Question Answering)은 주어진 질문에 대한 단서가 주어지지 않은 환경에서 정답을 도출해 내는 어려운 문제이다. 최근 테이블 데이터와 같은 구조화된 데이터에서의 질의응답 시스템에 대한 중요도가 점차 높아지면서, 본 논문에서는 위키피디아에 등장하는 테이블들을 대상으로 한국어 테이블 오픈 도메인 질의 응답 시스템을 구성하기로 한다. 또한, 테이블 검색의 한계를 보완하기 위해 Joint Reranker 기반 Fusion-In-Decoder를 제안하고 적용하여 질의응답 Task에서 베이스라인에 대비하여 EM 3.36, F1-Score 3.25 향상을 이루어냈다.

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Bankruptcy Prediction with Explainable Artificial Intelligence for Early-Stage Business Models

  • Tuguldur Enkhtuya;Dae-Ki Kang
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.3
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    • pp.58-65
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    • 2023
  • Bankruptcy is a significant risk for start-up companies, but with the help of cutting-edge artificial intelligence technology, we can now predict bankruptcy with detailed explanations. In this paper, we implemented the Category Boosting algorithm following data cleaning and editing using OpenRefine. We further explained our model using the Shapash library, incorporating domain knowledge. By leveraging the 5C's credit domain knowledge, financial analysts in banks or investors can utilize the detailed results provided by our model to enhance their decision-making processes, even without extensive knowledge about AI. This empowers investors to identify potential bankruptcy risks in their business models, enabling them to make necessary improvements or reconsider their ventures before proceeding. As a result, our model serves as a "glass-box" model, allowing end-users to understand which specific financial indicators contribute to the prediction of bankruptcy. This transparency enhances trust and provides valuable insights for decision-makers in mitigating bankruptcy risks.

Bayesian Model Uncertainty for Open-domain Question Answering (베이지안 모델 불확실성에 기반한 오픈도메인 질의응답)

  • Lee, Young-Hoon;Na, Seung-Hoon;Choi, Yun-Su;Chang, Du-Seong
    • Annual Conference on Human and Language Technology
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    • 2019.10a
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    • pp.93-96
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    • 2019
  • 최근 딥러닝 모델을 다양한 도메인에 적용하여 뛰어난 성능을 보여주고 있다. 하지만 딥러닝 모델은 정답으로 제시된 결과가 정상적으로 예측된 결과인지, 단순히 오버피팅에 의해 예측된 결과인지를 구분하기 어렵다. 이러한 불확실성(Uncertainty)을 측정 할 수 없다는 문제점을 해결하기 위해서 본 논문에서는 베이지안 딥러닝 방법 중 하나인 변분추론(Variational Inference)과 몬테카를로 Dropout을 오픈도메인(Open-Domain) 태스크에 적용하고, 예측 결과에 대한 불확실성을 측정하여 예측결과에 영향을 주는 모델의 성능을 측정해 효과성을 보인다.

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