• Title/Summary/Keyword: Multi-aspect Model

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다면적 소셜 IoT 도메인 온톨로지 생성을 위한 온톨로지 스키마 변환 프로세스 (an Automatic Transformation Process for Generating Multi-aspect Social IoT Ontology)

  • 김수경;안기홍;김건우
    • 스마트미디어저널
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    • 제3권3호
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    • pp.20-25
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    • 2014
  • 본 연구는 사람, 사물, 그리고 서비스 사이의 통신과 원활한 서비스 운용을 위한 다면적(multi-aspect) Social IoT 플랫폼에 관한 개념을 소개하고, 이러한 다면적 Social IoT 플랫폼상에서 기존 특정 도메인을 위해 구성된 데이터 표현들을 온톨로지 표현으로 재구성할 수 있는 온톨로지 스키마 변환 프로세스들 제안한다. 현재, 많은 연구들이 센서 온톨로지나 디바이스 온톨로지 등과 같이 사물에 기반한 서비스 상호운영성을 위한 인프라 구성에 초점을 둔 표준화된 시맨틱 모델 개발에 집중하고 있으나, 사람과 사물, 그리고 서비스 사이의 최적화된 상호 운용을 위해서는 사람과 사물, 그리고 서비스가 갖는 다양한 특성이 반영된 시맨틱 모델에 관한 연구는 미흡한 실정이다. 따라서, 본 연구에서는 IoT를 구성하는 각 도메인들의 표현 체계를 온톨로지 기반 표현체계로 변환할 수 있도록 기존 소셜 네트워크 구성 요소들을 확장하여 다면적 소셜 네트워크 온톨로지 스키마를 구축하고, 이를 기반으로 IoT내 도메인 지식들을 온톨로지로 자동 변환할 수 있는 프로세스를 개발하였다.

다중 자세각 기반의 능동소나 표적 식별 (Multi-aspect Based Active Sonar Target Classification)

  • 석종원
    • 한국멀티미디어학회논문지
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    • 제19권10호
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    • pp.1775-1781
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    • 2016
  • Generally, in the underwater target recognition, feature vectors are extracted from the target signal utilizing spatial information according to target shape/material characteristics. In addition, various signal processing techniques have been studied to extract feature vectors which are less sensitive to the location of the receiver. In this paper, we synthesized active echo signals using 3-dimensional highlight distribution. Then, Fractional Fourier transform was applied to echo signals to extract signal features. For the performance verification, classification experiments were performed using backpropagation and probabilistic neural network classifiers based on single aspect and multi-aspect method. As a result, we obtained a better recognition result using proposed feature extraction and multi-aspect based method.

다중 측면 의미 모델에 기반한 데이터베이스의 의미 통합 (Semantic Integration of Databases Based on the Multi-Aspect Semantic Model)

  • 이정욱;김중일;이종혁;백두권
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 1998년도 가을 학술발표논문집 Vol.25 No.2 (1)
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    • pp.283-285
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    • 1998
  • 현재의 멀티데이터베이스 시스템에서 고려해야 할 중요한 문제중의 하나는 의미 이질성(semantic heterogeneity)을 식별하고 해결하는 것이다. 본 논문에서는 이를 위하여, 다중 측면 의미 모델(Multi-Aspect Semantic Model:MASM)을 제시하고 이에 기반한 의미 통합 방법을 제시한다. MASM은 의미 특징(semantic feature), 스키마 측면(schematic aspect), 명칭(name), 기능적 측면(functional aspect), 문맥(context) 등의 여러 요소들을 고려한 모델이며, 모든 요소 데이터베이스간에 공유되어야 하는 표준화된 지식 없이 객체간의 의미 유사성을 판단한다. 정보 통합에 필요한 모든 지식은 각 요소 데이터베이스에서 다른 요소 데이터베이스에 독립적으로 구축되며, 이를 통하여 융통성과 확장성을 갖는 멀티데이터베이스 시스템을 구축하는 토대를 마련한다.

세장비가 큰 사각케이스 성형 공정에서의 인공신경망을 적용한 초기 블랭크 형상 최적설계 모델 개발 (A Development of Optimal Design Model for Initial Blank Shape Using Artificial Neural Network in Rectangular Case Forming with Large Aspect Ratio)

  • 곽민준;박지우;박근태;강범수
    • 소성∙가공
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    • 제29권5호
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    • pp.272-281
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    • 2020
  • As the thickness of mobile communication devices is getting thinner, the size of the internal parts is also getting smaller. Among them, the battery case requires a high-level deep drawing technique because it has a rectangular shape with a large aspect ratio. In this study, the initial blank shape was optimized to minimize earing in a multi-stage deep drawing process using an artificial neural network(ANN). There has been no reported case of applying artificial neural network technology to the initial blank optimal design for a square case with large aspect ratio. The training data for ANN were obtained though simulation, and the model reliability was verified by performing comparative study with regression model using random sample test and goodness-of-fit test. Finally, the optimal design of the initial blank shape was performed through the verified ANN model.

Aspect-based Sentiment Analysis of Product Reviews using Multi-agent Deep Reinforcement Learning

  • M. Sivakumar;Srinivasulu Reddy Uyyala
    • Asia pacific journal of information systems
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    • 제32권2호
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    • pp.226-248
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    • 2022
  • The existing model for sentiment analysis of product reviews learned from past data and new data was labeled based on training. But new data was never used by the existing system for making a decision. The proposed Aspect-based multi-agent Deep Reinforcement learning Sentiment Analysis (ADRSA) model learned from its very first data without the help of any training dataset and labeled a sentence with aspect category and sentiment polarity. It keeps on learning from the new data and updates its knowledge for improving its intelligence. The decision of the proposed system changed over time based on the new data. So, the accuracy of the sentiment analysis using deep reinforcement learning was improved over supervised learning and unsupervised learning methods. Hence, the sentiments of premium customers on a particular site can be explored to other customers effectively. A dynamic environment with a strong knowledge base can help the system to remember the sentences and usage State Action Reward State Action (SARSA) algorithm with Bidirectional Encoder Representations from Transformers (BERT) model improved the performance of the proposed system in terms of accuracy when compared to the state of art methods.

Aspect Ratio Effect of the Natural Convection in Horizontal Enclosure with an Array of Square

  • Lee J.R.;Ha M.Y.
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2003년도 The Fifth Asian Computational Fluid Dynamics Conference
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    • pp.286-288
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    • 2003
  • The physical model considered here is a horizontal layer of fluid heated below and cooled above with a periodic array of evenly spaced square cylinders placed at the center of the layer, whose aspect ratio here varies from unity to six. Periodic boundary condition is employed along the horizontal direction to allow for lateral freedom for the convection cells. Two-dimensional solution for unsteady natural convection is obtained using an accurate and efficient Chebyshev spectral multi-domain methodology for a given Rayleigh numbers of $10^6$

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다단계 생산공정에 대한 공리모델 (An Axiomatic model of the multi-stage production process)

  • 안웅
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1993년도 추계학술대회발표논문집; 서강대학교, 서울; 25 Sep. 1993
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    • pp.175-184
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    • 1993
  • Modeling the production process is a necessary and essential aspect of the production planning. This paper introduces a theoretical model of the multi-stage production process. A multi-stage production process is regarded as a network of interrelated production activities which use system exogenous inputs of goods in production and the intermediate products transfers between activities to produce final products. Our model is characterized by (1) a few of the production-related assumptions and (2) two types of elements "goods and activities" that are represented in terms of the network terminology. This model is different from the another multi-stage production models, so-called production network models in relation to the production-theoretical concept. It is not based on the concept of the production correspondence and the activity production functions, but the technology model of Koopmans. Koopmans.

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다중 모델 기반의 자가 적응형 시스템 (Multi-Aspect Model based Self-Adaptive System)

  • 이상희;정철호;이은석
    • 한국HCI학회:학술대회논문집
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    • 한국HCI학회 2006년도 학술대회 1부
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    • pp.1161-1167
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    • 2006
  • 본 논문에서는 구조, 행위, 리소스, 환경의 여러 관점을 적용한 다양한 모델들을 이용하는 적응 프레임워크를 제안한다. 또한, 대상 시스템에 대해 앞에서 언급한 4 가지 모델을 위한 모델링 방법론과 각 모델링 요소들에 대한 효과적인 표기법을 제시하였다. 다양한 모델들을 통해 시스템의 구성 요소들 간의 관계 구조와 시스템의 계층적 상태와 행위 정보, 실행 환경을 구성하는 시스템 의존적인 요소 및 독립적인 요소까지의 정보들이 표현된다. 이들 모델간의 유기적인 상호 운용으로 통합적인 추론과 보다 정확한 평가가 가능하다. 이를 통해 시스템은 예상치 못한 변화에 대해 통합된 관점의 더욱 정확한 진단과 반영할 수 있다. 이를 기반으로 다양한 수준에서 적응 동작의 조절을 수행함으로써 하이브리드하고 보다 확장된 적응이 가능해진다. 논문에서 정의한 모델과 제안 프레임워크는 다른 도메인으로 재사용이 가능하다. 제안 시스템은 평가를 위해 프로토타입을 구현하여 원격 화상 회의 시스템에 적용하였으며, 그 기능과 유효성을 확인하였다.

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세장비가 큰 사각케이스 성형을 위한 초기 블랭크의 설계 및 개선에 관한 연구 (A Study on Initial Blank Design and Modification for Rectangular Case Forming with Extreme Aspect Ratio)

  • 구태완;박철성;강범수
    • 소성∙가공
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    • 제13권4호
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    • pp.307-318
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    • 2004
  • Rectangular drawn case with extreme aspect ratio is widely used for electrical parts such as a lithium-ion battery container, semi-conductor case and so on. Additionally, from the recent trend towards miniaturization of the multi-functional mobile device, demands for rectangular case with the narrow width are increased. In this study, numerical and experimental approaches for the multi-stage deep drawing process have been carried out. Based on the research results of the width of 5.95mm model, finite element analysis for storage case of rectangular cup type was verified to the width of 4.95mm. Also, a series of manufacturing experiments for rectangular case is conducted and the deformed configuration of the rectangular drawn case are investigated by comparing with the results of the numerical analysis. And the modification of the initial blank is performed to minimize the trimmed material amount. By the application of the modified blank, the sound shape of the deformed parts is improved.

원호형상의 멀티 블레이드를 가진 풍력터빈 설계 (Design for a circular arc shaped multi-blade windmill)

  • 추권철;김동건;윤순현
    • 유체기계공업학회:학술대회논문집
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    • 유체기계공업학회 2004년도 유체기계 연구개발 발표회 논문집
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    • pp.390-395
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    • 2004
  • The characteristics of the circular arc shaped multi-blade windmil are investigatedl. The prototypical windmill was tested in the laboratory at wind tunnel speeds of 5.5, 9.4m/s. and the model windmill was also tested in the laboratory, The power and torque coefficients were studied as functions of the blade section, the aspect ratio for blade diameter and windmill radius(M = 0.3, 0.5, 0.7), the number of blades and finally the tip-speed ratio. The analysis of the experimental results for the model windmill showed that there is the highest revolutions per minute(R.P.M) at the circular arc shaped multi-blade windmill having the blade number 10, aspect ratio(M = 0.7). and the results for the prototypical windmill showed that the power coefficient increased to a maximum value and then decreased again with an increase in the tip speed ratio, while the torque coefficient decreased directly with an increase in the tip speed ratio Finally, the experimental results were compared with the Savonius blade. the maximum power coefficient for the arc shaped blade was greater than for the Savonius blade and occured at a lower tip speed ratio.

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