• Title/Summary/Keyword: Convergence model

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A Framework for Design and Evaluation of Robot Industry Business Model based on Cloud Services in an Aging Society (고령화 사회에서 클라우드 서비스 기반 로봇산업 비즈니스 모델의 설계 및 평가를 위한 프레임워크)

  • Jeon, Hangoo;Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.11 no.1
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    • pp.441-446
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    • 2013
  • It is expected to change for convergence robotic services according to emergence new communication technologies and cloud computing, etc. Robot industry is evaluated the biggest filed that is possibility to convergence of new IT technology. This paper presents a design framework for robot industry business model on cloud services through the cloud computing and environment of robot industry, features and provide valuable of cloud-based robot service, analysis of customer needs and value chain in the market in an aging society. In addition, we describe the evolution path of the proposed business model in terms of technology development and market. This study is expected to help that cloud and robot services companies when establishing new service model development and marketing strategy.

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

  • Lee, Jonghyuk;Lee, Sangik;Jeong, Yongjoon;Kim, Dongsu;Lee, Seung-jae;Choi, Won
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.2
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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.

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

  • Choi, Kye-Kwang;Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.189-194
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    • 2020
  • In this study, the durability on heat was considered through the thermal stress analyses on models A, B, and C of laptops. Model A is an integral part, indicating that the heated keyboard showed the highest temperature and the monitor part far from the heated one showed the coldest. In models B and C, only the heated keyboard parts are modeled, so it can be seen that they get hot overall. In the case of model A, the thickness of the laptop keyboard was thicker, but there were the most deformations, while model C had the thinnest thickness with the smallest stress and deformation. Model B had the highest stress but relatively little deformation. It is considered that the result of thermal analysis in this study can be used to make the latest efficient design of durable laptop. The durability of laptop against the heat can be evaluated by applying this study result to the laptop. And it is seen that the result can be the design of laptop with strength and the aesthetic convergence.

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

  • Choi, Gye-Gwang;Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.187-192
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    • 2019
  • In this study, the structural and fatigue analyses were carried out according to the configuration of rear wheel suspension of torsion beam. Three types of models similar to the actual torsional beam suspension are analyzed and we will find out which one is best on strength. The models of torsion beam suspension were designed in three types of models A, B and C through CATIA program and the results of structural and fatigue analyses were obtained by using the ANSYS program. We will confirm which model is better structurally than other models. According to the analysis results, the deformation happens to be the largest in the middle, and model B has the least deformation compared to model A and C. Similarly, model B is shown to have the smallest result at equivalent stress. So, model B is judged to be the best in terms of its strength, and it is thought to be the most efficient to converge into art design at the suspension design with a torsion beam of rear wheel.

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

  • Yoo, Yedam;Jeong, Da Un;Marcellinus, Aroli;Lim, Ki Moo
    • Journal of Biomedical Engineering Research
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    • v.42 no.6
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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.

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

  • Park, So-Yun;Lee, Hyun-Soo;Jung, Ah-Rin
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2008.11a
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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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Kinematic Calibration of Delta Parallel Robot Using Laser Tracker (레이저 트래커를 이용한 Delta 병렬로봇의 기구학적 보정)

  • Jeong, Sung-Hun;Choi, Jun-Woo;Kim, Han-Sung
    • Journal of the Korean Society of Industry Convergence
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    • v.24 no.6_2
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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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    • v.25 no.4
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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.

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

  • Yoo, Sang-mi
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.289-297
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    • 2020
  • The purpose of this study is to verify the effect of university students's innovativeness on adoption intention of academic convergence. For this objectives, the Structural Equation Model(SEM) was designed and analysed by using Lisrel. This study developed a research model, based upon TAM, to analyse the factors: personal innovativeness, social expectation, perceived usefulness and adoption intention of academic convergence. The main results are follows as: first, personal innovativeness showed a significant positive direct effect on adoption intention of academic convergence, and indirect effect through perceived usefulness on it. Second, through perceived usefulness, there was indirect effect between social expectation and adoption intention of academic convergence. The SEM in this study showed the statistical significance, which the model fit was χ2=22.638(df=29, p=.793). Based upon the result of analyses, the study suggested to develop the subject and non-subject educational program through which students experience innovativeness and usefulness for academic convergence. Especially, the change of the role and the task of the curriculum of liberal arts was.

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

  • 강민식
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.11
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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.