• Title/Summary/Keyword: General component

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The Establishment of Multi Axial Fatigue Testing System for Rail Fastening Component/System (레일체결장치 다축피로시험장비 구축)

  • Kim, Eun;Kim, Tae-Wook;Park, Ok-Jung
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1156-1162
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    • 2007
  • This paper describes overall background and current status of the establishment of multi axial fatigue testing system for rail fastening component/system. With above viewpoint, general features of rail fastening system, domestic/international testing standards, main features of testing system, application plan, etc. are summarized.

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Modified Component Mode Synthesis Method Using Ritz Vectors (Ritz 벡터를 이용한 수정 분할구조해석법)

  • 이인원;김동옥
    • Journal of KSNVE
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    • v.3 no.1
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    • pp.77-82
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    • 1993
  • In general, the dynamic analysis with FEM(Finite Element Method) of large structures requires large computer memory space and long computational time. For the purpose of economical dynamic analysis of large structures, most of engineers want to use an efficient solution algorithm. This paper reports the modified CMS(Component Mode Synthesis) method which uses more efficient algorithm than the classical CMS method. In this paper, it is shown that Ritz vector sets can play the role of normal mode vector sets of substurctures in the CMS algorithm. The modified CMS method has good convergence performance compared with that of the classical CMS method.

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Probability Calculation of Component or Subsystem Failure used by Bayes Formula (베이즈 정리를 이용한 부품 또는 서브시스템의 고장 확률 계산)

  • 이성철
    • Journal of the Korea Safety Management & Science
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    • v.3 no.2
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    • pp.123-131
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    • 2001
  • Reliability calculation of a system is frequently required in industrial, military, and everyday life situations. For such a calculation, it is necessary to specify the configuration of components and subsystems, the failure mode of each component, and the states in which the system is classified as failed. In this paper, we are primary interested in the time to the first failure of a system. And we discuss failure probability of coherent system under various condition, especially focus on probability calculation of subsystem failure before system failure used by Bayes formula. Problem statement and general applications illustrated by several examples.

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Business Component Identification Based on System Component Applying Dependency Characteristics between Analysis Classes (분석 클래스 간의 종속적 특성을 적용한 시스템 컴포넌트 기반의 비즈니스 컴포넌트 식별)

  • Choi, Mi-Sook;Cho, Eun-Sook;Ha, Jong-Sung
    • Journal of Korea Multimedia Society
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    • v.7 no.7
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    • pp.1009-1016
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    • 2004
  • Component-based development is being generalized as the spread of software reuse technology for rapid development productivity and high quality software.In the CBD, the identification of independent and reusable component is the one of important tasks for component-based system development. Because existing methodologies providing component identification techniques provide techniques based on heuristic techniques of component developer, it is difficult for general developers to identify components using these methods. Therefore, this paper suggests new identification factors and a technique by considering dependency characteristics according to method call types and method call directions and dependency degree. Furthermore, proposed technique is verified through case study; business components based on system components are identified effectively.

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Study on the Health-related Quality of Life in Patients after Surgery for Malignant Bone Tumors

  • Han, Gang;Wang, Yan;Bi, Wen-Zhi
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.1
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    • pp.127-130
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    • 2012
  • Aim: We conducted a study in China to assess the health-related quality of life (HRQoL) in patients treated on for malignant bone tumors after surgery, and investigate the possible determinants. Methods: The subjects were 120 patients surgically treated by amputation and limb-salvage for bone tumors during the period of June 2008 to June 2010. The Medical Outcomes Study Short Form 36 (SF-36) was employed to measure the HRQoL of all the patients before and after surgery. Results: With regard to the results of the general quality of life tool (SF-36), we observed a significant improvement of all the indexes of HRQoL after 6 months (p<0.05). PF, RP and BP scores showed significant increase between surgery after 6 and 12 months (p<0.05). The means of the HRQoL of bone tumor patients in our study were still much lower than those of general population in every domain, even 12 months after surgery. Logistic regression showed that female patients were found to have lower scores in physical component summary (PCS) than males (OR=0.64, 95% CI=0.35-0.89). Patients older than 15 years had lower scores in mental component summary (MCS) (OR=0.60, 95% CI=0.32-0.86). Ablative surgery was related to both lower MCS and PCS scores (For MCS, OR=0.54, 95% CI=0.31-0.83; for PCS, OR=0.43, 95% CI=0.25-0.73). Conclusion: Our study showed the treatment for bone tumor could greatly alter the HRQoL of patients. Age, sex and type of surgery were associated with physical or mental HRQoL after surgery.

Drug Development and Guideline for Safety Pharmacology Studies (신약개발과 안전성약리시험 가이드라인)

  • 최기환;박인숙;임화경;오우용;왕소영;김소희;김주일;김동섭
    • YAKHAK HOEJI
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    • v.47 no.2
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    • pp.104-109
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    • 2003
  • The present paper reviews the notion and comparison of the Korea Food and Drug Administration(KFDA) general pharmacology and the International Conference on Harmonisation (ICH) safety pharmacology. General pharmacology or safety pharmacology is termed the study to determine the potential of a compound to induce adverse pharmacological effects. KFDA general pharmacology studies have been considered an important component in drug safety assessment and these were originally referred to those designed to examine effects other than the primary therapeutics effect of a drug candidate. The KFDA notified the Guideline for General Pharmacology in 1997. Safety pharmacology studies were focused on identifying adverse effects on physiological functions. In the ICH came into place S7A Safety Pharmacology Studies for Human Pharmaceuticals in 2001. A new chemical entity should be assessed for its side effects, initially in those physiological systems which are generally agreed to be the key systems that are essential for life; these "core system" include the central nervous system, cardiovascular system and respiratory system in safety pharmacology studies. These studies should be performed in compliance with Good Laboratory Practice (GLP).

Primary Intrapulmonary Thymoma Appearing as a Solitary Pulmonary Nodule: The "Master of Disguise" of Lung Tumors?: Case Report

  • Krassas, Athanasios;Diamantis, Ioannis;Karampinis, Ioannis;Vgenopoulou, Stefani;Misthos, Panagiotis
    • Journal of Chest Surgery
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    • v.54 no.5
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    • pp.412-415
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    • 2021
  • Primary intrapulmonary thymomas (PITs) are defined as thymomas arising in intrapulmonary locations, without an associated mediastinal component. They are rare lesions, the diagnosis of which can be very difficult. We present a case of PIT in an asymptomatic 74-year-old woman in whom pulmonary nodules were found on pulmonary angiography performed for an episode of pulmonary embolism. She underwent wedge resection and the pathology report revealed a PIT. We also summarize this patient's clinicopathological features and discuss the diagnosis, pathogenesis, and treatment of PIT.

Classification and Selection of the Breeding Materials in the Silkworm, Bombyx mori, by Multivariate Analysis 2. Combining Ability and its Pre-estimate for the Top Cross Set made from the Silkworm Parental Lines Selected by Principal Component Analysis. (다변량 해석법에 의한 누에 육종소재의 탐색 2. 주성분 SCORE에 의하여 분류된 주요잠품종간의 TOP 교잡에 의한 조합능력 검정과 예측)

  • 정도섭;이인전;이상몽;김삼은
    • Journal of Sericultural and Entomological Science
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    • v.32 no.1
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    • pp.17-30
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    • 1990
  • A 6${\times}$4 top-cross set was made from the ten silkworm parental lines selected by the first principal component scores. They were also analysed for the relationship between the combining ability and the first principal component score. The highest general combining ability effects were detected in the parental lines of Japanese, N39 and chinese, C46, for the most quantitative characters in the study. The first principal component score of factors related to silk productivity in the parents was significantly and positively correlated to the general combining ability of the twelve characters such as cocoon yield, cocoon weight, cocoon shell weight, cocoon shell percentage, duration of the 5th instar larvae, total larval period, length of a bave, weight of a have, non-breaking length of a bave, non-breaking weight of a have, raw silk percentage, and neatness. Similarity distance (D$^2$) was related to the specific combining ability of the characters such as cocoon yield, non-breaking length of a bave, non-breaking weight of a have, non-breaking ratio of a bave, raw silk percentage, neatness. From the results, it is possible to predict the general combining ability effects by the principal component scores for the 12 characters of the parents related to silk productivity.

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Empirical Bayes Problem With Random Sample Size Components

  • Jung, Inha
    • Journal of the Korean Statistical Society
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    • v.20 no.1
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    • pp.67-76
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    • 1991
  • The empirical Bayes version involves ″independent″ repetitions(a sequence) of the component decision problem. With the varying sample size possible, these are not identical components. However, we impose the usual assumption that the parameters sequence $\theta$=($\theta$$_1$, $\theta$$_2$, …) consists of independent G-distributed parameters where G is unknown. We assume that G $\in$ g, a known family of distributions. The sample size $N_i$ and the decisin rule $d_i$ for component i of the sequence are determined in an evolutionary way. The sample size $N_1$ and the decision rule $d_1$$\in$ $D_{N1}$ used in the first component are fixed and chosen in advance. The sample size $N_2$and the decision rule $d_2$ are functions of *see full text($\underline{X}^1$equation omitted), the observations in the first component. In general, $N_i$ is an integer-valued function of *see full text(equation omitted) and, given $N_i$, $d_i$ is a $D_{Ni}$/-valued function of *see full text(equation omitted). The action chosen in the i-th component is *(equation omitted) which hides the display of dependence on *(equation omitted). We construct an empirical Bayes decision rule for estimating normal mean and show that it is asymptotically optimal.

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Nutrient Contributions of the Five Meal Components in School Lunch: $Entr{\'{e}}e$, Milk, Vegetable/Fruit, Bread/Grain, and Miscellaneous

  • Wie Seung-Hee;Shanklin Carol W.
    • Journal of Community Nutrition
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    • v.8 no.1
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    • pp.3-8
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    • 2006
  • This retrospective study was designed to evaluate the nutrient contributions of the five meal components of school lunch menus planned for elementary students in two school districts (District A and B) in the Midwestern state of the United States. The 4-week cycle menu was planned for two time periods (Period 1 and Period 2) following guidelines for NuMenus and general menu planning principles. Menu components of planned and served menus for two time periods were analyzed using $Nutri-Kids^{TM}$. No significant differences in the nutrient content of between Periods 1 and 2 were found for District A. District B served significantly more vitamin A and total fat in Period 1 and significantly more calories, iron, vitamin A, protein, and total fat in Period 2 than was planned. The major nutrients provided by the entree component included protein, calories, cholesterol, total fat, saturated fat, and sodium. Milk was an important source of calcium and provided approximately one-third of the total protein and vitamin A in the meal. The vegetable/fruit component was the major source of vitamins A and C. The grain/bread component provided approximately 20% of the carbohydrates among five meal components. The miscellaneous component affected the sodium and fat content of the menus. Menu planners can use the results of this study to enhance their knowledge of the nutrient contributions of each meal component and as inputs for planning menus that meet children's nutritional requirements.