• 제목/요약/키워드: Convergence model

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온실 폭설 피해경감을 위한 비즈니스 모델 설계 (Design of the Business Model to Reduce the Damage of Heavy Snowfall in Greenhouse)

  • 이종혁;이상익;정영준;김동수;이승재;최원
    • 한국농공학회논문집
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    • 제63권2호
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    • pp.61-74
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    • 2021
  • Agriculture is most closely related to weather, and the government pursues stable food production by weather research. However, abnormal weather conditions have occurred frequently around the world in recent years, and stable food production has been threatened. Among them, heavy snow in winter tends to increase in frequency and size, which causes serious damage to greenhouses. Therefore, it is imperative to build a system reflecting various demands to reduce the damage to agricultural facilities caused by heavy snow. A business model can realize this as a way of commercialization, however, no suitable model has been presented to date. Therefore, this study aims to design a representative business model that can establish a safety system by distributing a greenhouse disaster prevention warning system for heavy snow to farms.

노트북 열발생에 따른 열해석에 관한 융합연구 (A Convergent Investigation on the Thermal Analysis due to Heat Generation of Laptop)

  • 최계광;조재웅
    • 한국융합학회논문지
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    • 제11권11호
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    • pp.189-194
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    • 2020
  • 본 연구에서는 노트북의 Model A,B,C에 대한 열응력 해석을 통하여 열에 대한 내구성을 고찰하였다. Model A는 일체형으로서 열을 받는 자판 부분이 가장 뜨겁고 열 받는 곳과 거리가 먼 모니터 부분이 가장 온도가 낮은 것을 보였다. Model B와 Model C에서는 열을 받는 자판부분만 모델링 하였기 때문에 전체적으로 뜨거워지는 것을 알 수가 있다. Model A의 경우는 노트북 자판의 두께가 더 두껍지만 변형이 제일 많이 나타났고 Model C는 두께가 가장 얇으면서도 응력과 변형이 가장 작게 나타났다. Model B의 경우는 응력이 제일 많았지만 변형은 비교적 적게 나타났다. 본 연구에서의 열해석 결과를 이용함으로서 내구성이 있는 노트북의 효율적인 최신 설계를 할 수 있다고 사료된다. 본 연구 결과를 노트북에 적용함으로서 열에 대한 노트북의 내구성을 평가할 수 있고 그 결과가 강성있는 노트북의 설계와 미적인 융합이 될 수 있다고 보인다.

후륜 토션빔 서스펜션에 대한 구조해석에 의한 융합연구 (A Convergence Study by Structural Analysis on Torsion Beam Suspension of Rear Wheel)

  • 최계광;조재웅
    • 한국융합학회논문지
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    • 제10권9호
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    • pp.187-192
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    • 2019
  • 본 연구에서는 토션빔 후륜 서스펜션의 형상에 따른 구조 및 피로 해석을 하였다. 실제 토션빔 서스펜션의 형상과 비슷한 3종류의 모델들을 해석하여 어떤 것이 강도상에서 가장 좋은 지를 알아본다. 토션빔 서스펜션의 모델들은 CATIA프로그램을 통하여 Model A, B, C 3종류로 설계하였고 ANSYS 프로그램을 이용하여 구조 및 피로 해석의 결과들을 얻었으며, 어떤 Model이 다른 모델에 비해 더 나은 구조적 형상인지 확인한다. 해석 결과에 따르면 변형은 주로 가운데 부분에서 가장 크게 발생하며 Total deformation의 경우 Model B가 model A, C 에 비하여 변형이 가장 적었다. 마찬가지로 Equivalent stress에서도 Model B가 가장 작은 값이 나타난 것으로 보아 Model B가 가장 강도적인 면에서 가장 좋은 것으로 판단되었으며, 후륜 토션빔 서스펜션 설계 시에 디자인 예술과 융합하는 것이 가장 효율적이라고 사료된다.

심근 세포의 전기생리학적 특징을 이용한 인공 신경망 기반 약물의 심장독성 평가 (An Artificial Neural Network-Based Drug Proarrhythmia Assessment Using Electrophysiological Characteristics of Cardiomyocytes)

  • 유예담;정다운;;임기무
    • 대한의용생체공학회:의공학회지
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    • 제42권6호
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    • pp.287-294
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    • 2021
  • Cardiotoxicity assessment of all drugs has been performed according to the ICH guidelines since 2005. Non-clinical evaluation S7B has focused on the hERG assay, which has a low specificity problem. The comprehensive in vitro proarrhythmia assay (CiPA) project was initiated to correct this problem, which presented a model for classifying the Torsade de pointes (TdP)-induced risk of drugs as biomarkers calculated through an in silico ventricular model. In this study, we propose a TdP-induced risk group classifier of artificial neural network (ANN)-based. The model was trained with 12 drugs and tested with 16 drugs. The ANN model was performed according to nine features, seven features, five features as an individual ANN model input, and the model with the highest performance was selected and compared with the classification performance of the qNet input logistic regression model. When the five features model was used, the results were AUC 0.93 in the high-risk group, AUC 0.73 in the intermediate-risk group, and 0.92 in the low-risk group. The model's performance using qNet was lower than the ANN model in the high-risk group by 17.6% and in the low-risk group by 29.5%. This study was able to express performance in the three risk groups, and it is a model that solved the problem of low specificity, which is the problem of hERG assay.

융합화 모델 개발을 위한 초고층 주거 커뮤니티 공간 분석 (An Analysis of Community Space of High-rise Housing for Convergence Model)

  • 박소윤;이현수;정아린
    • 한국주거학회:학술대회논문집
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    • 한국주거학회 2008년 추계학술발표대회 논문집
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    • pp.188-192
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    • 2008
  • The Purpose of this paper is to analyze of community space of high-rise housing as a basic research towards developing a model of spacial convergence. For this, 10 cases of high-rise housing complexes are compiled. Research methods are as follows. First, through the analysis of 10 high-rise housing complexes, the types of community space program are categorized by concepts. Second, community space plans are analyzed by floor. The results of this study are summarized as follows. First, through the analysis of 10 cases, the types of community space program are classified 8 categories : Culture, Health, Leisure, Education, Life-style Assistance, Business Assistance, Open Space, Commercial Facility. Second, community space plans are arranged at the lower floor of the building at a high ratio. Third, the types of convergence model for community programs are suggested by 4 categories : Human, Time, Experience, Local Community. Fourth, community space configuration is categorized by 4 types.

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레이저 트래커를 이용한 Delta 병렬로봇의 기구학적 보정 (Kinematic Calibration of Delta Parallel Robot Using Laser Tracker)

  • 정성훈;최준우;김한성
    • 한국산업융합학회 논문집
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    • 제24권6_2호
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    • pp.947-952
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    • 2021
  • In this paper, the simplified kinematic error model for Delta parallel robot is presented, which can enable the analytical forward kinematics essentially for kinematic calibration calculations instead of the numerical one. The simplified kinematic error model is proposed and the forward kinematics including the error parameters is analytically derived. The kinematic calibration algorithm of the Delta parallel robot with 90 degree arrangement using laser tracker and the experiment result are presented.

Forecasting KOSPI Return Using a Modified Stochastic AdaBoosting

  • Bae, Sangil;Jeong, Minsoo
    • East Asian Economic Review
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    • 제25권4호
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    • pp.403-424
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    • 2021
  • AdaBoost tweaks the sample weight for each training set used in the iterative process, however, it is demonstrated that it provides more correlated errors as the boosting iteration proceeds if models' accuracy is high enough. Therefore, in this study, we propose a novel way to improve the performance of the existing AdaBoost algorithm by employing heterogeneous models and a stochastic twist. By employing the heterogeneous ensemble, it ensures different models that have a different initial assumption about the data are used to improve on diversity. Also, by using a stochastic algorithm with a decaying convergence rate, the model is designed to balance out the trade-off between model prediction performance and model convergence. The result showed that the stochastic algorithm with decaying convergence rate's did have a improving effect and outperformed other existing boosting techniques.

리즈렐을 이용한 대학생의 혁신성향과 융합학문 수용의도에 대한 분석 (Analysis of University Students' Innovativeness and Adoption Intention of Academic Convergence by using LISREL)

  • 유상미
    • 한국인터넷방송통신학회논문지
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    • 제20권2호
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    • pp.289-297
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    • 2020
  • 본 연구의 목적은 대학생의 혁신성향이 융합학문에 수용의도에 영향을 미치는 효과를 검증하는 데 있다. 이를 위해 기술수용모형에 기초하여 대학생의 개인적 혁신성, 사회적 기대, 지각된 유용성, 융합학문 수용의도를 변인으로 한 구조방정식모델을 설계하고 LISREL을 사용하여 이를 분석하였다. 연구 결과는 다음과 같다. 첫째, 개인적 혁신성은 융합학문 수용의도에 직접적인 양(+)의 예측요인이며, 지각된 유용성을 매개로 한 간접적인 요인임을 확인하였다. 둘째, 사회적 기대 요인은 지각된 유용성을 매개로 융합학문 수용의도에 간접적인 영향을 미치는 것으로 나타났다. 제안된 연구모형은 적합도에서 χ2의 값이 22.638(d.f=29, p=.793)로 나타나 통계적으로 수용할 만한 결과를 보였다. 연구 결과를 토대로 대학생의 혁신성과 융합학문의 유용성을 경험할 수 있도록 다양한 교과 및 비교과 프로그램 개발의 필요성을 제안하였다. 특히 교양 교과의 역할과 위상의 변화가 요구됨을 제안하였다.

FXLMS 알고리즘을 이용한 외란보상 제어기 설계 (Disturbance Compensation Control by FXLMS Algorithm)

  • 강민식
    • 한국정밀공학회지
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    • 제20권11호
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    • pp.100-107
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    • 2003
  • This paper represents a disturbance compensation control for attenuating disturbance responses. In the consideration of the requirements on the model accuracy in the model based compensator designs, an experimental feed forward compensator design based on adaptive estimation by Filtered-x least mean square (FXLMS) algorithm is proposed. The convergence properties of the FXLMS algorithm are discussed and its conditions for the asymptotic convergence are derived theoretically. The effectiveness of the proposed method and the theoretical proof are verified by computer simulation.

Synthesis of Multi-View Images Based on a Convergence Camera Model

  • Choi, Hyun-Jun
    • Journal of information and communication convergence engineering
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    • 제9권2호
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    • pp.197-200
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    • 2011
  • In this paper, we propose a multi-view stereoscopic image synthesis algorithm for 3DTV system using depth information with an RGB texture from a depth camera. The proposed algorithm synthesizes multi-view images which a virtual convergence camera model could generate. Experimental results showed that the performance of the proposed algorithm is better than those of conventional methods.