• Title/Summary/Keyword: convergence result

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A Model of Recursive Hierarchical Nested Triangle for Convergence from Lower-layer Sibling Practices (하위 훈련 성과 융합을 위한 순환적 계층 재귀 모델)

  • Moon, Hyo-Jung
    • Journal of Digital Contents Society
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    • v.19 no.2
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    • pp.415-423
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    • 2018
  • In recent years, Computer-based learning, such as machine learning and deep learning in the computer field, is attracting attention. They start learning from the lowest level and propagate the result to the highest level to calculate the final result. Research literature has shown that systematic learning and growth can yield good results. However, systematic models based on systematic models are hard to find, compared to various and extensive research attempts. To this end, this paper proposes the first TNT(Transitive Nested Triangle)model, which is a growth and fusion model that can be used in various aspects. This model can be said to be a recursive model in which each function formed through geometric forms an organic hierarchical relationship, and the result is used again as they grow and converge to the top. That is, it is an analytical method called 'Horizontal Sibling Merges and Upward Convergence'. This model is applicable to various aspects. In this study, we focus on explaining the TNT model.

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.

Exploring Convergence Fields of Safety Technology Using ARM-Based Patent Co-Classification Analysis (공통특허분류 분석을 활용한 안전기술융합분야 탐색 : Association Rule Mining(ARM) 접근법)

  • Suh, Yongyoon
    • Journal of the Korean Society of Safety
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    • v.32 no.5
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    • pp.88-95
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    • 2017
  • As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

A Study on Technology Characteristics of IT Convergence Service and Application Technology for Industrial Convergence (IT 융합서비스 및 활용기술의 기술속성에 관한 연구 : 산업간 융합을 중심으로)

  • Kim, Dong-Kwan;Baek, Dong-Hyun;Jin, Heui-Chae
    • Journal of Information Technology Services
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    • v.9 no.2
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    • pp.1-20
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    • 2010
  • The IT convergence industry is expected to create some high added-value, yet the IT convergence service is still in its introductory stage, which requires the utilization of yet to be tried future technologies and development methodologies that have been never tried in the past; therefore, there is certain risk involved regarding the success of development during the introduction of service and the development of technology. From such perspective, this study found examples of the services in the IT convergence industries and the application technologies for the realization of those services; and conducted a research based on the examples, using the technical Characteristics classification; and based on the result, analyzed the standards and the peculiarity of technologies employed for the IT convergence service and the correlation and the complementarity between them; also identified the standards and the peculiarity of technologies required by the IT convergence services and analyzed the correlation between them; and finally analyzed the compatibility between the IT convergence services and the applied technologies. The conclusion of this study is expected to be utilized for selecting technologies for the introduction and the operation of the optimal IT convergence service and as a benchmark as well.

Technology Convergence Analysis Using Social Network k-Core: Focusing on Company Technologies of Defense Industry (사회연결망 k-코어를 활용한 기술융합 분석: 방위산업 기업의 보유기술 중심)

  • Park, Dong-Soo;Yoon, Han-Seong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.3
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    • pp.83-95
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    • 2022
  • A technology can be newly formed through technological convergence achieved by the intersection of two or more technological fields. As the complexity of technology development increases, related interest is increasing. Researches have been carried out on the concept, related indicators and analysis of technology convergence including method of social networks. This paper intends to suggest an analysis method of technology convergence using social networks based on the company's possessing technologies. According to the similarity of technologies among companies, a social network was constructed and the technology convergence was analyzed using k-core, a social network subgroup method. Using the result of k-core, base and element technologies for convergence was identified with their relations. Using the suggested method, technology convergence was analyzed on real technology data of defense-industry companies. When the minimum technology similarity is 0, the overall technology convergence relations between technology elements can be identified. In the scope of data in this paper, technologies of defense S/W, aircraft structure and structural materials are identified as important base technology for convergence.

THE EMPIRICAL LIL FOR THE KAPLAN-MEIER INTEGRAL PROCESS

  • Bae, Jong-Sig;Kim, Sung-Yeun
    • Bulletin of the Korean Mathematical Society
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    • v.40 no.2
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    • pp.269-279
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    • 2003
  • We prove an empirical LIL for the Kaplan-Meier integral process constructed from the random censorship model under bracketing entropy and mild assumptions due to censoring effects. The main method in deriving the empirical LIL is to use a weak convergence result of the sequential Kaplan-Meier integral process whose proofs appear in Bae and Kim [2]. Using the result of weak convergence, we translate the problem of the Kaplan Meier integral process into that of a Gaussian process. Finally we derive the result using an empirical LIL for the Gaussian process of Pisier [6] via a method adapted from Ossiander [5]. The result of this paper extends the empirical LIL for IID random variables to that of a random censorship model.

Text Analysis of Software Test Report (소프트웨어 시험성적서에 대한 텍스트 분석)

  • Jung, Hye-Jung;Han, Gun-Hee
    • Journal of the Korea Convergence Society
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    • v.11 no.11
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    • pp.25-31
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    • 2020
  • This study is to study a method of applying weights for quality characteristics in software test evaluation. The weight application method analyzes the text of the test report and uses the ratio according to the frequency of the text as a weight for the quality characteristics of the software test score. The feasibility review of the results of this study was conducted by comparing the results of the questionnaire survey, which made the developers and users to evaluate the importance of software, and the results of the frequency analysis of text analysis. When measuring quality based on the eight quality characteristics presented in ISO/IEC 25023, the result of this study is the software quality measurement result considering software characteristics, whereas the result of this study is the software quality measurement result by applying the same weight when measuring quality.

A Second-Order Iterative Learning Algorithm with Feedback Applicable to Nonlinear Systems (비선형 시스템에 적용가능한 피드백 사용형 2차 반복 학습제어 알고리즘)

  • 허경무;우광준
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.5
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    • pp.608-615
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    • 1998
  • In this paper a second-order iterative learning control algorithm with feedback is proposed for the trajectory-tracking control of nonlinear dynamic systems with unidentified parameters. In contrast to other known methods, the proposed teaming control scheme utilize more than one past error history contained in the trajectories generated at prior iterations, and a feedback term is added in the learning control scheme for the enhancement of convergence speed and robustness to disturbances or system parameter variations. The convergence proof of the proposed algorithm is given in detail, and the sufficient condition for the convergence of the algorithm is provided. We also discuss the convergence performance of the algorithm when the initial condition at the beginning of each iteration differs from the previous value of the initial condition. The effectiveness of the proposed algorithm is shown by computer simulation result. It is shown that, by adding a feedback term in teaming control algorithm, convergence speed, robustness to disturbances and robustness to unmatched initial conditions can be improved.

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A REVIEW OF THE SUPRA-CONVERGENCES OF SHORTLEY-WELLER METHOD FOR POISSON EQUATION

  • Yoon, Gangjoon;Min, Chohong
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.18 no.1
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    • pp.51-60
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    • 2014
  • The Shortley-Weller method is a basic finite difference method for solving the Poisson equation with Dirichlet boundary condition. In this article, we review the analysis for supra-convergence of the Shortley-Weller method. Though consistency error is first order accurate at some locations, the convergence order is globally second order. We call this increase of the order of accuracy, supra-convergence. Our review is not a simple copy but serves a basic foundation to go toward yet undiscovered analysis for another supra-convergence: we present a partial result for supra-convergence for the gradient of solution.

WEAK SUFFICIENT CONVERGENCE CONDITIONS AND APPLICATIONS FOR NEWTON METHODS

  • Argyros, Ioannis-K.
    • Journal of applied mathematics & informatics
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    • v.16 no.1_2
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    • pp.1-17
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    • 2004
  • The famous Newton-Kantorovich hypothesis has been used for a long time as a sufficient condition for the convergence of Newton method to a solution of an equation in connection with the Lipschitz continuity of the Frechet-derivative of the operator involved. Using Lipschitz and center-Lipschitz conditions we show that the Newton-Kantorovich hypothesis is weakened. The error bounds obtained under our semilocal convergence result are finer and the information on the location of the solution more precise than the corresponding ones given by the dominating Newton-Kantorovich theorem, and under the same hypotheses/computational cost, since the evaluation of the Lipschitz also requires the evaluation of the center-Lipschitz constant. In the case of local convergence we obtain a larger convergence radius than before. This observation is important in computational mathematics and can be used in connection to projection methods and in the construction of optimum mesh independence refinement strategies.