نتایج جستجو برای: reliability function

تعداد نتایج: 1344639  

Journal: :shiraz journal of system management 0

abstract. when a production facility is designed, there are various parameters affecting the number machines such as production capacity and reliability. it is often a tedious task to optimize different objectives simultaneously. the other issue is the uncertainty in many design parameters which makes it difficult to reach a desirable solution. in this paper, we present a new mathematical model...

2015
Jing Zhang Hang Lei Xuan Han Yunsheng Wang

To plan Internetware reliability in advance can effectively save cost and guarantee the reliability of Internetware system. The conversion method of Markov chain of Internetware based on architecture and the reliability calculation method are studied; the reliability function based on structure is proposed; the characteristics of the improvement of Internetware reliability is analyzed; the cost...

2012
SHAZIA ZARRIN Shazia Zarrin

Abstract-This paper presents the reliability computation and Bayesian estimation of system reliability when the applied stress and strength follows the power function distribution. The Power Function Distribution is considered as a simple model to assess component reliability and may exhibit a better fit for failure data and also provide more appropriate information about hazard rate. The resul...

Journal: :مهندسی صنایع 0
علی اکبر اسلامی‏بلده مهندسی صنایع- دانشگاه صنعتی امیر کبیر میرمهدی سیداصفهانی دانشکده مهندسی صنایع -دانشگاه صنعتی امیرکبیر محمدعلی فارسی پژوهشکده سامانه‏های فضانوردی-پژوهشگاه فضایی ایران

the redundancy allocation problem can be described as selecting the components and system configuration in order to optimize some objective function(s) without violating the system constraints. operating conditions are not constant in many advanced engineering systems. mostly, in the engineering applications selection, the number of redundancy components must be balanced among the constraints (...

Hasan Shakeri, Iraj Abdollahi, Kamran Ezzati, Kimia Esmaili, Mahyar Salavati,

Background: Wolf Motor Function Test (WMFT) is used in the assessment of upper extremity motor function in stroke patients. This scale contains 15 items and assesses joint-segment movements and functional tasks. Objectives: Translation and assessment of internal consistency and reliability of the Persian version of WMFT in Iranian stroke patients. Materials and Methods: After translation ...

2014
YAHIA SAID MOHAMED ATRI

Detecting pedestrians is a challenging problem owing to the motion of the subjects, the camera and the background and to variations in pose, appearance, clothing, illumination and background clutter. The Region Covariance Matrix (RCM) descriptors show experimentally significantly out-performs existing feature sets for pedestrian detection. In this paper, we present an efficient features extract...

2009
Scott A. Crossley Max M. Louwerse Danielle S. McNamara

The authors examine the degree to which first (L1) and second language (L2) speakers of English are able to distinguish between simplified or authentic reading texts from L2 instructional books and whether L1 and L2 speakers differ in their ability to process linguistic cues related to this distinction. These human judgments are also compared to computational judgments which are based on indice...

2009
Bernhard Hommel Lorenza Colzato

(Th1) Title of the project: Mood, affect, and performance Supervisor Name: Prof. Dr. Bernhard Hommel Location: Leiden University Course Requirement: Description: Human performance is strongly affected by emotional factors; e.g., short-term affect and long-term mood is known to facilitate and analytical thinking and creativity. For quite a while it was not clear what causes these effects, but re...

2005
Glenn Gunzelmann Kevin A. Gluck Hans P. A. Van Dongen David F. Dinges

This paper describes how changes in architectural parameters in ACT-R can be used to understand and predict the effects of sleep deprivation on a fundamental aspect of human performance. In a sample task, the parameter manipulations produce changes in the model’s performance that closely resemble the neurobehavioral effects seen in human data. The parameter that is manipulated (G) influences a ...

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