• Title/Summary/Keyword: Convergence models

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New Convergence Business Models by Applying Cloud Service to Medical Industry (클라우드 서비스의 의료산업 적용을 통한 새로운 융합 비즈니스 모델)

  • Jeon, Hangoo;Kim, Jongchul;Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.11 no.4
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    • pp.467-472
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    • 2013
  • Recently, the value of ICT-based medical devices, equipments, software and service development are is increased according to strengthening the convergence among ICT, medical technologies and services. This paper presents the new convergence business models by applying cloud service to medical industry. In order to develop the new convergence business models, we checked the validity and feasibility through analyzing the medical market environments such as medical data backup, medical regulation etc. and present the new convergence business models and the direction of commercial business models for customer acquisition, market expansion and competitiveness improvement. This study is to provide the guidelines for establishing the core capacity strengthening strategy and partnership cooperation strategy when we design a new convergence business models in various industrial fields.

Case Study and Performance Analysis of IT Convergence Business Models for Defense Sector (국방 IT융합 비즈니스 모델 사례와 성과 분석)

  • Sim, Seungbae;Yoo, Cheonsoo;Hong, Sumin
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.275-287
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    • 2015
  • Information technology (IT) convergence have been recognized one of the key drivers in the industry perspective. Especially, IT convergence have been one of the most important innovative way for defense sector. Korea government established IT convergence policy in 2008 and have been applying it to the core industry such as automotive, shipbuilding and defense industries. Recently, the creative vitamin project has been launched. Vitamin 'D' means the way to create the value of defense industry. This research analyzes and evaluates various IT convergence business models based on an operation of defense IT convergence center from 2011 to 2014, which is the industry IT convergence centers. Defense IT convergence business models can be classified into four types of mission area as follows : weapon acquisition and management, military intelligence, military power construction, and resources management. We define the concept of defense IT convergence and describe the framework and processes for applying IT to the defense sector. We analyzes and evaluates various business models designed through defense IT convergence framework and processes.

A Comparative Study on Innovation Tools for the Development of Business Models by the Types of Convergence (컨버전스유형별 비즈니스모델 개발을 위한 혁신도구 비교 연구)

  • Yang, Dong-Heon;Byun, Jong-Bong;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.10 no.6
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    • pp.141-152
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    • 2012
  • This study is a comparatively analyzes innovation tools for developing appropriate business models according to the types of convergence. Firstly, it examines previous studies on the type of convergence, business models, and innovation tools. Based on the understanding of each topic through literature search, it introduces Convergence-Business-Innovation Tools Cube (CBI Cube) model with the concept of developing innovative business models by applying innovation tools under the condition of convergence. In order to quantify (concretize) the concept, we have compared the relative priority of innovation tools for developing business models to find component factors of CBI Cube model through the survey of an expert group by adopting DelPhi method and AHP method. From the result of this study, we expect to be able to make an easier approach to the development of innovative products, services and market as it allo ws to develop business models of value innovation beyond just benchmarking or simple imitation of existing business models.

Updated Primer on Generative Artificial Intelligence and Large Language Models in Medical Imaging for Medical Professionals

  • Kiduk Kim;Kyungjin Cho;Ryoungwoo Jang;Sunggu Kyung;Soyoung Lee;Sungwon Ham;Edward Choi;Gil-Sun Hong;Namkug Kim
    • Korean Journal of Radiology
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    • v.25 no.3
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    • pp.224-242
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    • 2024
  • The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different generative AI models and their potential applications in the field of medicine and explores the evolving landscape of Generative Adversarial Networks and diffusion models since the introduction of generative AI models. These models have made valuable contributions to the field of radiology. Furthermore, this review also explores the significance of synthetic data in addressing privacy concerns and augmenting data diversity and quality within the medical domain, in addition to emphasizing the role of inversion in the investigation of generative models and outlining an approach to replicate this process. We provide an overview of Large Language Models, such as GPTs and bidirectional encoder representations (BERTs), that focus on prominent representatives and discuss recent initiatives involving language-vision models in radiology, including innovative large language and vision assistant for biomedicine (LLaVa-Med), to illustrate their practical application. This comprehensive review offers insights into the wide-ranging applications of generative AI models in clinical research and emphasizes their transformative potential.

Comparative Evaluation of Machine Learning Models for Predicting Soccer Injury Types

  • Davronbek Malikov;Jaeho Kim;Jung Kyu Park
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_1
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    • pp.257-268
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    • 2024
  • Soccer is type of sport that carries a high risk of injury. Injury is not only cause in the unlucky soccer carrier and also team performance as well as financial effects can be worse since soccer is a team-based game. The duration of recovery from a soccer injury typically relies on its type and severity. Therefore, we conduct this research in order to predict the probability of players injury type using machine learning technologies in this paper. Furthermore, we compare different machine learning models to find the best fit model. This paper utilizes various supervised classification machine learning models, including Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes. Moreover, based on our finding the KNN and Decision models achieved the highest accuracy rates at 70%, surpassing other models. The Random Forest model followed closely with an accuracy score of 62%. Among the evaluated models, the Naive Bayes model demonstrated the lowest accuracy at 56%. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history.

An improvement on the concrete exothermic models considering self-temperature duration

  • Zhu, Zhenyang;Chen, Weimin;Qiang, Sheng;Zhang, Guoxin;Liu, Youzhi
    • Computers and Concrete
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    • v.19 no.6
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    • pp.659-666
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    • 2017
  • Based on the Arrhenius equations, several hydration exothermic models that precisely calculate the influence of concrete's self-temperature duration on its hydration exothermic rate have been presented. However, the models' convergence is difficult to achieve when applied to engineering projects, especially when the activation energy of the Arrhenius equation is precisely considered. Thus, the models' convergence performance should be improved. To solve this problem and apply the model to engineering projects, the relationship between fast iteration and proper expression forms of the adiabatic temperature rise, the coupling relationship between the pipe-cooling and hydration exothermic models, and the influence of concrete's self-temperature duration on its mechanical properties were studied. Based on these results, the rapid convergence of the hydration exothermic model and its coupling with pipe-cooling models were achieved. The calculation results for a particular engineering project show that the improved concrete hydration exothermic model and the corresponding mechanical model can be suitably applied to engineering projects.

A Study on Development of Main Producing Areas for Industrialization of complex and of fusion in Field

  • Young-Jun Park
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2022.10a
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    • pp.331-331
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    • 2022
  • This research aims to developing new commercialization project of convergence agricultural industrial model. First, we established an inventory for the planning of convergence agricultural industrial model categorize the relevant factors identified, and then suggested three models which are the business profit model for convergence agriculture industrialization, the resource recycling complex and agricultural tourism model, and the smart agricultural model. Second, in order to investigate the feasibility of each industrial model, we investigated the willingness to participate in the project according to the pilot models such as related organizations and management agencies, and proposed the result of business feasibility analysis. Finally, we suggested the establishment of a demonstration complex through the systemization of element technologies at two models. The related systems and technologies was reviewed as a new commercialization plan through the modeling of convergence agricultural industrial types in main crop production complex presented, and set up mid- to long-term development direction. The results of this study can be applied to the design of convergence agricultural industrial model in main crop production complex.

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STOCHASTIC DIFFERENTIAL EQUATION MODELS FOR EXTRACELLULAR SIGNAL-REGULATED KINASE PATHWAYS

  • Choo, S.M.;Kim, Y.H.
    • Journal of applied mathematics & informatics
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    • v.31 no.3_4
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    • pp.457-467
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    • 2013
  • There exist many deterministic models for signaling pathways in systems biology. However the models do not consider the stochastic properties of the pathways, which means the models fit well with experimental data in certain situations but poorly in others. Incorporating stochasticity into deterministic models is one way to handle this problem. In this paper the way is used to produce stochastic models based on the deterministic differential equations for the published extracellular signal-regulated kinase (ERK) pathway. We consider strong convergence and stability of the numerical approximations for the stochastic models.

Study on Convergence Technique through Structural Analysis due to the Height of the Walker (보행 기구 높이에 따른 구조해석을 통한 융합 기술연구)

  • Lee, Jung-Ho;Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.6 no.2
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    • pp.19-24
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    • 2015
  • Nowadays, the number of people who do not move actively or are treated for rehabilitation is increasing because of the disorder or the paralysis of their own lower body by the industrial disaster. In this study, the walker for the people whose bodies are not convenient or the old is investigated. The walkers due to the height of walker are designed and the structural simulation analysis is carried out. The study models of walker are modelled with CATIA program and analyzed with ANSYS program. As the analysis result, the models of 1, 2 and 3 have the maximum stresses extremely below the yield stress of this model and the elastic deformations at these models occurs. Among these models, As the maximum deformation of model 3 has the least value among these models, models 3 is thought to have the best durability. The safety of walker model can be estimated by the basis of the result of this study. The damage can be prevented and the durability is examined by applying this result into the design of walker. And it is possible to be grafted onto the convergence technique at design and show the esthetic sense.

Study on Convergence Technique through Strength Analysis of Stabilizer Link by Type (스테빌라이저 링크의 종류별 강도 해석을 통한 융합 기술연구)

  • Cho, Jae-Ung
    • Journal of the Korea Convergence Society
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    • v.6 no.1
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    • pp.57-63
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    • 2015
  • In this study, the lower arm is connected and fixed at the model of the automotive stabilizer link as the moment is applied. There are models of 1, 2 and 3 as a length control type, a general type and a single body type respectively. These models are investigated by performing the convergence technique through the design and the strength analysis with CATIA and ANSYS. As the maximum equivalent stress of model 3 has the least, model 3 can endure the highest load among three models. As the fatigue analysis, model 3 has the minimum blocks as the frequency of stress state, model 3 becomes also safest among three models. As models of 1, 2 are in the order of the next safety, the number of blocks becomes larger as the frequency of stress state and the instability becomes higher. And it is possible to be grafted onto the convergence technique at design and show the esthetic sense.