• Title/Summary/Keyword: Comprehensive approach

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Minimally Invasive Redo Mitral Valve Replacement under Fibrillatory Arrest in a Patient with a Calcified Aorta and Patent Previous Bypass Grafts

  • Kim, Seung Hyun;Kim, Hak Ju;Hwang, Ho Young
    • Journal of Chest Surgery
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    • v.51 no.4
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    • pp.283-285
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    • 2018
  • A 73-year-old woman who underwent combined bioprosthetic mitral valve replacement, tricuspid ring annuloplasty, and coronary artery bypass grafting 12 years previously visited our clinic due to aggravated dyspnea caused by structural valve deterioration of the mitral prosthesis. Because aortic or femoral artery cannulation and cross-clamping would have a high risk of stroke owing to severe calcification of the ascending aorta and ilio-femoral vessels, and because there was a risk of redo sternotomy due to the patent bypass grafts, a comprehensive approach including axillary artery cannulation, a minimally invasive right thoracotomy approach, and a clampless hypothermic fibrillatory arrest technique was used during redo mitral valve replacement.

Evoluationary Design of a Fuzzy Logic Controller For Multi-Agent Robotic Systems

  • Jeong, ll-Kwon1;Lee, Ju-Jang
    • Transactions on Control, Automation and Systems Engineering
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    • v.1 no.2
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    • pp.147-152
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    • 1999
  • It is an interesting area in the field of artifical intelligence to find an analytic model of cooperative structure for multiagent system accomplishing a given task. Usually it is difficult to design controllers for multi-agent systems without a comprehensive knowledge about the system. One of the way to overcome this limitation is to implement an evolutionary approach to design the controllers. This paper introduces the use of a genetic algorithm to discover a fuzzy logic controller with rules that govern emergent agents solving a pursuit problem in a continuous world. Simulation results indicate that, given the complexity of the problem, an evolutionary approach to find the fuzzy logic controller seems to be promising.

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Personalized Cancer Treatment for Ovarian Cancer

  • Chumworathayi, Bandit
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.3
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    • pp.1661-1664
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    • 2013
  • Recently there have been numerous advances in understanding the genetic basis of cancer which have resulted in more appropriate treatments. In this paper we describe the experience of the Burzynski Clinic, involved in treatment of numerous patients based on personalized approach using novel combinations for difficult-to-treat malignancies, with gynecological cancers. This retrospective study was conducted by extracting data from Burzynski Clinic's medical records and comprehensive review. Among the advanced refractory ovarian cancers cases (N=33), an objective response (OR) was found in 42.4%. We anticipate that with improved technology and novel therapeutics this rate will increase and adverse events will be reduced.

The Design Methodology of Fuzzy Controller by Means of Evolutionary Computing and Fuzzy-Set based Neural Networks

  • Roh, Seok-Beom;Oh, Sung-Kwun
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.04a
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    • pp.438-441
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    • 2004
  • In this study, we introduce a noble neurogenetic approach to the design of fuzzy controller. The design procedure dwells on the use of Computational Intelligence (CI), namely genetic algorithms and Fuzzy-Set based Neural Networks (FSNN). The crux of the design methodology is based on the selection and determination of optimal values of the scaling factors of the fuzzy controllers, which are essential to the entire optimization process. First, the tuning of the scaling factors of the fuzzy controller is carried out by using GAs, and then the development of a nonlinear mapping for the scaling factors is realized by using GA based FSNN. The developed approach is applied to a nonlinear system such as an inverted pendulum where we show the results of comprehensive numerical studies and carry out a detailed comparative analysis.

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A novel approach in analyzing agriculture and food systems: Review of modeling and its applications

  • Kim, Do-Gyun;Cho, Byoung-Kwan;Lee, Wang-Hee
    • Korean Journal of Agricultural Science
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    • v.43 no.2
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    • pp.163-175
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    • 2016
  • For the past decades, advances in computational devices have propelled mathematical modeling to become an effective tool for solving the black box of complex biological systems because of its prominent analytical power and comprehensive insight. Nevertheless, modeling is still limitedly used in the fields of agriculture and food which generally concentrate on producing experimental data rather than processing them. This study, hence, intends to introduce modeling in terms of its procedure types of structure, formulation, analyses, and software, with reviews of current notable studies from micro to macro scales so as to propose the modeling technique as a novel approach in discerning conundrums in agriculture and food systems. We expect this review to provide an eligible source for researchers who are willing to apply modeling techniques into the unexplored fields related to bio-systems that comprehensively include biology, nutrition, agriculture, food, animal science, and ecology.

Introduction of Water Safety Plan in Korea (물안전계획(Water Safety Plan)의 국내 도입방안)

  • Kim, Jin-Keun
    • Journal of Korean Society of Water and Wastewater
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    • v.26 no.4
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    • pp.535-545
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    • 2012
  • Recently, drinking water quality has significantly improved with the progress of water treatment technologies, however, customer's trust on tap water is still relatively low. Low trust on water quality is mainly due to vague anxiety. Therefore, to improve customer's trust on drinking water quality new strategy such as water safety plan(WSP) which recommended by WHO and IWA should be introduced. WSP can be defined as an approach which uses comprehensive risk assessment and risk management approach that encompasses all steps in water supply from catchment to consumer to ensure the safety of a drinking water supply. In this study, cases on WSP introduction in other countries as well as strategy for the introduction of WSP in Korea were investigated. In addition, recommendations on the improvement of the current water contamination response manual was suggested based on the analysis of the existing manual at a full scale water treatment plant.

A Contingency Approach to KM Evaluation : Developing Two-Dimensional Instruments (지식경영 현황진단의 상황적 접근 : 이차원 진단측정도구 개발)

  • Yang, Sung-Byung;Koh, Joon
    • Knowledge Management Research
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    • v.9 no.1
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    • pp.23-38
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    • 2008
  • This study develops a framework and instruments to diagnose the current knowledge management(KM) status of an organization and to suggest future KM implementation directions. Based on the comprehensive review of KM literature and KM case studies, we derive three main aspects(strategic, social and technical aspect) and seven critical factors(KM strategy, knowledge worker, organizational strucuture, organizational culture, KM processe, organizational knowledge, and information technology) for the successful KM implementation. The instruments developed in this study include every specific measurement items of each critical success factor, which are expected to help not only suggest a context-sensitive KM strategy but also evaluate current KM status of a designated organization. By introducing two dimensions of KM evaluation(effectiveness and necessity), a more holistic and contingent view of KM can be assured. Academic contributions as well as practical implications are discussed. Study limitations and future research directions are also provided.

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The Design of Fuzzy Controller Based on Genetic Optimization and Neurofuzzy Networks

  • Oh, Sung-Kwun;Roh, Seok-Beom
    • Journal of Electrical Engineering and Technology
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    • v.5 no.4
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    • pp.653-665
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    • 2010
  • In this study, we introduce a neurofuzzy approach to the design of fuzzy controllers. The development process exploits key technologies of Computational Intelligence (CI), namely, genetic algorithms (GA) and neurofuzzy networks. The crux of the design methodology deals with the selection and determination of optimal values of the scaling factors of fuzzy controllers, which are essential to the entire optimization process. First, the tuning of the scaling factors of the fuzzy controller is carried out. Next, we form a nonlinear mapping for the scaling factors, which are realized by GA-based neurofuzzy networks by using a fuzzy set or fuzzy relation. The proposed approach is applied to control nonlinear systems like the inverted pendulum. Results of comprehensive numerical studies are presented through a detailed comparative analysis.

Consideration for therapy method and oral motor function character of children with cerebral palsy (뇌성마비 아동의 구강운동 기능 특성 및 치료방법에 관한 고찰)

  • Lim, Hyoung-Won
    • Journal of Korean Physical Therapy Science
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    • v.13 no.2
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    • pp.121-127
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    • 2006
  • Consideration for therapy method and oral motor function character of children with cerebral palsy. Therapists who treat for feeding disorder children owing the regression of oral motor function are necessary to gain knowledge about dysfunction of sensing, perception and cognition with baffling to eat and inhibition of primitive reflex, oral anatomy and function, and motor control (trunk, head, positioning of the upper limbs and the lower limbs and muscle tone). Oral motor function program is a comprehensive rehabilitation program which requires systematized enforcement and collaborated attempts to physiotherapists, occupational therapists, speech therapists, psychotherapists. Especially, physical therapists are not accustomed to oral motor program, hoping to provide diffusely and apply new therapy approach method for many areas (bell's palsy, respiratory failure, speech articulation). It will comprise to study owing to holistic approach with clinic.

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A custom building deterioration model

  • Hosny, O.A.;Elhakeem, A.A.;Hegazy, T.
    • Structural Engineering and Mechanics
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    • v.37 no.6
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    • pp.685-691
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    • 2011
  • Developing accurate prediction models for deterioration behavior represents a challenging but essential task in comprehensive Infrastructure Management Systems. The challenge may be a result of the lack of historical data, impact of unforeseen parameters, and/or the past repair/maintenance practices. These realities contribute heavily to the noticeable variability in deterioration behavior even among similar components. This paper introduces a novel approach to predict the deterioration of any infrastructure component. The approach is general as it fits any component, however the prediction is custom for a specific item to consider the inherent impacts of expected and unexpected parameters that affect its unique deterioration behavior.