• 제목/요약/키워드: Minimal model

검색결과 683건 처리시간 0.031초

선형탄성파괴역학 이론에 의한 균열판의 p-Version 유한요소해석 (p-Version Finite Element Analysis of Cracked Panels Based on Linear Elastic Fracture Mechanics)

  • 윤영필;우광성;박병기;신영식
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1993년도 봄 학술발표회논문집
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    • pp.19-26
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    • 1993
  • The p-version crack model based on integrals of Legendre polynomial and virtual crack extension method is proposed with its potential for application to stress intensity factor computations in linear elastic fracture mechanics. The main advantage of this model is that the data preparation effort is minimal because only a small number of elements are used and the high accuracy and the rapid rate of convergence can be achieved in the vicinity of crack tip. There are two important findings from this study. Firstly, the limit value, the strain energy of the exact solution can be estimated with successive three p-version approximations by ascertaining the approximations is entered the asymptotic range. Secondly, the rate of convergence of p-version model is almost twice that of h-version model on the basis of uniform or quasiuniform mesh refinement for the cracked panel problem subjected tension.

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A complex hazards detection system based on Eco-sensors pack

  • Jang, Jaechun;Kim, Eunhee;Lim, Changmok
    • 한국컴퓨터정보학회논문지
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    • 제20권10호
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    • pp.107-112
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    • 2015
  • There are numerous hazards and toxins have been produced in many forms along with life and working environments. Nevertheless, to remove theses hazards and toxins, there are many counteracting goods manufactured, but the result is limited in specific categories. Also it costs a lot of energy waste. In this paper, we propose a model that reduce wasting energy for detecting and getting rid of the harms. It adds a multi hazards auto-detection model for user friendly include the disable. It will be controlled the minimal sensed level of the harms by individuals through the proposed model. It can conduct detecting and eliminating the harms via eco-sensors pack which is adapted in different environments. As a result, the model works to produce only essential energy to clear the hazard and toxins as soon as the harms are generated and it leads to standby power.

전자기력에 의해 유도된 변압기의 진동 해석을 위한 자왜 현상 모델링 (Magnetostriction Modeling for the Analysis of Electromagnetically Induced Vibration of Transformers)

  • 유승열;이준신;이욱륜;노명규
    • 한국정밀공학회지
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    • 제25권1호
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    • pp.108-114
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    • 2008
  • Recently, there have been several instances that the nuclear power plants were shut down due to the mechanical faults in the main transformer of the plants. These mechanical faults are primarily originated from the electromagnetically induced mechanical vibrations. Magnetostriction is identified to be the main cause of the mechanical vibration after analyzing the vibration data of the main transformers in nuclear power plants. In this study, we derived a mathematical model of the magnetostriction based on the Jiles-Atherton hysteresis model. The validity of the model is checked by matching the simulations with the experimental observations. The magnetostriction model used in this study will be the first step toward developing a design tool far the transformers that have minimal mechanical vibrations and are robust to mechanical faults.

유효 영역 판별 모델에 따른 데이터베이스 기반 콘크리트 최적 배합 선정 (Optimum Concrete Mix-proportion based on Database according to Assessment Model for Effective Region)

  • 이방연;김재홍;김진근;이성태
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2006년도 추계 학술발표회 논문집
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    • pp.909-912
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    • 2006
  • This paper examined the applicability of convex hull, which is defined as the minimal convex polygon including all points, to assessment model for effective region. In order to validate the applicability of the convex hull to assessment model for effective region, a genetic algorithm was adopted as a optimum technique, and an artificial neural network was adopted as a prediction model for material properties. The mix-proportion obtained from the proposed technique is more reasonable than that obtained from previous work.

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Dendritic Cell (DC) Vaccine in Mouse Lung Cancer Minimal Residual Model: Comparison of Monocyte-derived DC vs. Hematopoietic Stem Cell Derived-DC

  • Baek, Soyoung;Lee, Seog Jae;Kim, Myoung Joo;Lee, Hyunah
    • IMMUNE NETWORK
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    • 제12권6호
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    • pp.269-276
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    • 2012
  • The anti-tumor effect of monocyte-derived DC (MoDC) vaccine was studied in lung cancer model with feasible but weak Ag-specific immune response and incomplete blocking of tumor growth. To overcome this limitation, the hematopoietic stem cell-derived DC (SDC) was cultured and the anti-tumor effect of MoDC & SDC was compared in mouse lung cancer minimal residual model (MRD). Therapeutic DCs were cultured from either $CD34^+$ hematopoietic stem cells with GM-CSF, SCF and IL-4 for 14 days (SDC) or monocytes with GM-CSF and IL-4 for 7 days (MoDC). DCs were injected twice by one week interval into the peritoneum of mice that are inoculated with Lewis Lung Carcinoma cells (LLC) one day before the DC injection. Anti-tumor responses and the immune modulation were observed 3 weeks after the final DC injection. CD11c expression, IL-12 and TGF-${\beta}$ secretion were higher in SDC but CCR7 expression, IFN-${\gamma}$ and IL-10 secretion were higher in MoDC. The proportion of $CD11c^+CD8a^+$ cells was similar in both DC cultures. Although both DC reduced the tumor burden, histological anti-tumor effect and the frequencies of IFN-${\gamma}$ secreting $CD8^+$ T cells were higher in SDC treated group than in MoDC. Conclusively, although both MoDC and SDC can induce the anti-tumor immunity, SDC may be better module as anti-tumor vaccine than MoDC in mouse lung cancer.

라플라스 모세관이론과 수학물리학의 태동 (Theory of Capillarity of Laplace and birth of Mathematical physics)

  • 이호중
    • 한국수학사학회지
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    • 제21권3호
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    • pp.1-30
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    • 2008
  • 뉴턴의 중력이론의 성공은 수학물리학을 태동시키는 바, 최초로 19세기 초의 분자력의 모델성립에 중요한 요소로 등장하였다. 라플라스는 여기서 회전타원체의 작용이라는 모델을 이용하였고 회전타원체의 작용은 이계편미분방정식으로 표현이 되었다. 이것을 풀어서 유체를 담은 용기의 기하학적 모습과 와 유체와 고체의 접촉각에 대응시켰다. 알 수 없는 분자간거리는 추상적이고 미지의 힘 함수 $\varphi(f)$를 써서 표현하여, 분자 작용반경이라는 개념을 도입하여 이론적인 포텐셜 함수의 이론적인 토대를 구축하였다. 뉴턴의 중력이론은 라플라스이론에서 완성을 이루었고, 이후 분자력의 모델로서 작용을 하였다. 라플라스-영의 모세관이론은 수학적으로는 극소 곡면론에서 물리학적으로는 표면장력현상으로 설명이 된다.

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실시간 선불 서비스를 위한 모바일 IPv6 권한검증 구현 (Implementation of Mobile IPv6 Fast Authorization for Real-time Prepaid Service)

  • 김현곤
    • 인터넷정보학회논문지
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    • 제7권1호
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    • pp.121-130
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    • 2006
  • 차세대 무선 네트워크에서는 응용들이 실시간 선불 서비스를 제공해야 하며, 최종 사용자에게 서비스를 제공하기 이전에 요청된 서비스에 대해 신용을 사전 체크하여야 한다. 또한 선불서비스를 효과적으로 제공하기 위해서는 신용제어 기능이 최소한의 지연만을 가져야 한다. 본 논문에서는 모바일 IPv6 환경에서 실시간 신용제어가 가능한 권한검증 구현 모델을 제안하였다. 제안한 모델은 일반적인 신용제어 권한검증 절차와 모바일 IPv6 인증 절차를 통합한 구조를 갖는다. 지연을 최소화하기 위해 제안한 모델을 싱글 서버 내에 구현하였으며, 이 시스템은 권한검증과 인증을 동시에 수행한다. 구현한 시스템의 구현구조를 소프트웨어 기능 블록과 유니트 형태로 제시하였다. 구현한 모델의 feasibility를 검증하기 위해서 구현한 시스템의 지연을 측정하였으며 측정 시, 몇 가지 인증 확장 프로토콜 (EAP)을 적용하였다. 측정된 결과에 따르면 신용제어 권한검증과 인증이 분리된 기존 모델과 비해서 제안한 통합 모델이 상대적으로 지연시간이 적었다.

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대여 장비의 예방정비 일정 결정을 위한 의사 결정 모델 개발 (Developing a Decision-Making Model to Determine the Preventive Maintenance Schedule for the Leased Equipment)

  • 이주현;배기호;안선응
    • 산업경영시스템학회지
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    • 제41권2호
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    • pp.24-31
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    • 2018
  • As a system complexity increases and technology innovation progresses rapidly, leasing the equipment is considered as an important issue in many engineering areas. In practice, many engineering fields lease the equipment because it is an economical way to lease the equipment rather than to own the equipment. In addition, as the maintenance actions for the equipment are costly and need a specialist, the lessor is responsible for the maintenance actions in most leased contract. Hence, the lessor should establish the optimal maintenance strategy to minimize the maintenance cost. This paper proposes two periodic preventive maintenance policies for the leased equipment. The preventive maintenance action of policy 1 is performed with a periodic interval, in which their intervals are the same until the end of lease period. The other policy is to determine the periodic preventive maintenance interval minimizing total maintenance cost during the lease period. In addition, this paper presents two decision-making models to determine the preventive maintenance strategy for leased equipment based on the lessor's preference between the maintenance cost and the reliability at the end of lease period. The structural properties of the proposed decision-making model are investigated and algorithms to search the optimal maintenance policy that are satisfied by the lessor are provided. A numerical example is provided to illustrate the proposed model. The results show that a maintenance policy minimizing the maintenance cost is selected as a reasonable decision as the lease term becomes shorter. Moreover, the frequent preventive maintenance actions are performed when the minimal repair cost is higher than the preventive maintenance cost, resulting in higher maintenance cost.

Deep Learning-Based Lumen and Vessel Segmentation of Intravascular Ultrasound Images in Coronary Artery Disease

  • Gyu-Jun Jeong;Gaeun Lee;June-Goo Lee;Soo-Jin Kang
    • Korean Circulation Journal
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    • 제54권1호
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    • pp.30-39
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    • 2024
  • Background and Objectives: Intravascular ultrasound (IVUS) evaluation of coronary artery morphology is based on the lumen and vessel segmentation. This study aimed to develop an automatic segmentation algorithm and validate the performances for measuring quantitative IVUS parameters. Methods: A total of 1,063 patients were randomly assigned, with a ratio of 4:1 to the training and test sets. The independent data set of 111 IVUS pullbacks was obtained to assess the vessel-level performance. The lumen and external elastic membrane (EEM) boundaries were labeled manually in every IVUS frame with a 0.2-mm interval. The Efficient-UNet was utilized for the automatic segmentation of IVUS images. Results: At the frame-level, Efficient-UNet showed a high dice similarity coefficient (DSC, 0.93±0.05) and Jaccard index (JI, 0.87±0.08) for lumen segmentation, and demonstrated a high DSC (0.97±0.03) and JI (0.94±0.04) for EEM segmentation. At the vessel-level, there were close correlations between model-derived vs. experts-measured IVUS parameters; minimal lumen image area (r=0.92), EEM area (r=0.88), lumen volume (r=0.99) and plaque volume (r=0.95). The agreement between model-derived vs. expert-measured minimal lumen area was similarly excellent compared to the experts' agreement. The model-based lumen and EEM segmentation for a 20-mm lesion segment required 13.2 seconds, whereas manual segmentation with a 0.2-mm interval by an expert took 187.5 minutes on average. Conclusions: The deep learning models can accurately and quickly delineate vascular geometry. The artificial intelligence-based methodology may support clinicians' decision-making by real-time application in the catheterization laboratory.

성취가용도를 고려한 최적 수리횟수 결정모델에 관한 연구 (A Determination of an Optimal Repair Number under Achieved Availability Constraint)

  • 나인성;박명규
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제7권1호
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    • pp.13-22
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    • 2007
  • A preventive maintenance model, caller FNBM (${\alpha},{\delta},{\gamma}$) model, is proposed to decide an optimal repair number under achieved availability requirements (r) along with taking two types of failures (repairable or irrepairable) into account. In this model, the current system is replaced by a new one in case when it doesn't meet the achieved availability requirement, even though it is repairable failure; Othewise it is replaced in time of the first irrepairable failure. Assumed that the j-th failure is repairable with probability ${\alpha}_j$ minimal repairs are allowed for repairable failure between replacements. Expected cost rate for preventive maintenance model is developed using NHPP (Non - Homogeneous Poisson Process) in order to de term in the optimal number $n^*$, also numerical examples are shown in order to explain the proposed model. Since the proposed FNBM (${\alpha},{\delta},{\gamma}$) model includes Park FNBM model (1979) and Nakagawa FNBM (p) model (1983) m this proposed model is thought to be better than previous model, especially for weapon system which requires availability as primary parameter.

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