scholarly journals Method for Inferring the Design Value of the Resistance Based on Probabilistic Model

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Liuzhuo Chen ◽  
Jitao Yao ◽  
Jun Gao
Keyword(s):  
Model Uncertainty ◽  
Theoretical Basis ◽  
Statistical Approach ◽  
Probability Model ◽  
Reliability Control ◽  
Design Resistance ◽  
Design Value ◽  
Guarantee Rate ◽  
Sound Theoretical Basis ◽  
Statistical Results

Methods for inferring the design value of the resistance based on test have long been studied extensively, but the existing methods have several limitations on unified guarantee rate ensurance and reliability control. Firstly, the rationales and deficiencies of the present methods in ISO 2394 : 2015 and EN 1990 : 2002 were generalized. Secondly, in view of the disadvantages, a new inferring method combining the probability model of resistance with statistical approach was put forward. The proposed method established a relationship among design resistance, probability characteristics of known factors, and statistical results of unknown factors and possessed a rigorous and sound theoretical basis on both conditions that the coefficient of variation of model uncertainty was unknown and full known. Lastly, a contrast work was carried out between the Eurocode method and the proposed method; the results showed that the latter method had a higher inferring value, which means a better inferring result.

Translation Research for the Rehabilitation of Left Spatial Neglect and Associated Disorders of Attention in Stroke Patients

2008 ◽  
Vol 18 (2) ◽  
pp. 55-65 ◽  
Author(s):  
Nkiruka Arene ◽  
Argye E. Hillis
Keyword(s):  
Theoretical Basis ◽  
Attention Bias ◽  
Spatial Neglect ◽  
Clinical Use ◽  
Stroke Patients ◽  
Translation Research ◽  
Unilateral Neglect ◽  
Assessment And Treatment ◽  
Sound Theoretical Basis ◽  
Review Current

Abstract The syndrome of unilateral neglect, typified by a lateralized attention bias and neglect of contralateral space, is an important cause of morbidity and disability after a stroke. In this review, we discuss the challenges that face researchers attempting to elucidate the mechanisms and effectiveness of rehabilitation treatments. The neglect syndrome is a heterogeneous disorder, and it is not clear which of its symptoms cause ongoing disability. We review current methods of neglect assessment and propose logical approaches to selecting treatments, while acknowledging that further study is still needed before some of these approaches can be translated into routine clinical use. We conclude with systems-level suggestions for hypothesis development that would hopefully form a sound theoretical basis for future approaches to the assessment and treatment of neglect.

A STATISTICAL APPROACH TOWARDS SECURE LOCATION VERIFICATION IN NOISY WIRELESS CHANNELS

2014 ◽  
Vol 25 (05) ◽  
pp. 563-584 ◽  
Author(s):  
PARTHA SARATHI MANDAL ◽  
ANIL K. GHOSH
Keyword(s):  
Statistical Approach ◽  
Probability Model ◽  
Distance Estimation ◽  
Sensor Nodes ◽  
Noisy Channel ◽  
Malicious Nodes ◽  
Noisy Channels ◽  
Location Verification ◽  
Limited Precision ◽  
Very High

Location verification in wireless sensor networks (WSNs) is quite challenging in the presence of malicious sensor nodes, which are called attackers. These attackers try to break the verification protocol by reporting their incorrect locations during the verification stage. In the literature of WSNs, most of the existing methods of location verification use a set of trusted verifiers, which are vulnerable to attacks by malicious nodes. These existing methods also use some distance estimation techniques, which are not accurate in noisy channels. In this article, we adopt a statistical approach for secure location verification to overcome these limitations. Our proposed method does not rely on any trusted entities and it takes care of the limited precision in distance estimation by using a suitable probability model for the noise. The resulting verification scheme detects and filters out all malicious nodes from the network with a very high probability even when it is in a noisy channel.

Philosophers and Physicians on the Scientific Validity of Latin Physiognomy, 1200-1500

2007 ◽  
Vol 12 (3) ◽  
pp. 285-312 ◽  
Author(s):  
Joseph Ziegler
Keyword(s):  
Early Modern ◽  
Middle Ages ◽  
Theoretical Basis ◽  
Scientific Validity ◽  
Body Of Knowledge ◽  
Rational Explanation ◽  
The Status ◽  
Jean Buridan ◽  
Natural Philosophers ◽  
Sound Theoretical Basis

AbstractThe article surveys and contextualizes the main arguments among philosophers and academic physicians surrounding the status of physiognomy as a valid science from the thirteenth to the early sixteenth centuries. It suggests that despite constant doubts, learned Latin physiognomy in the later Middle Ages was recognized by natural philosophers (William of Spain, Jean Buridan, William of Mirica) and academic physicians (Rolandus Scriptor, Michele Savonarola, Bartolomeo della Rocca [Cocles]) as a body of knowledge rooted in a sound theoretical basis. Physiognomy was characterized by stability and certainty. As a demonstrative science it was expected to provide rational explanation for every bodily sign. In this respect, learned physiognomy in the Middle Ages was dramatically different from its classical sources, from Islamic and possibly from early-modern physiognomy as well.

Analytical failure probability model for generic gravity dam classes

2017 ◽  
Vol 231 (5) ◽  
pp. 546-557 ◽  
Author(s):  
Mohammad Amin Hariri-Ardebili
Keyword(s):  
Failure Probability ◽  
Safety Assessment ◽  
Statistical Approach ◽  
Probability Model ◽  
Gravity Dam ◽  
Preliminary Design ◽  
Failure Model ◽  
Proposed Model ◽  
Dimensional Gravity ◽  
Demand And Capacity

Risk analysis of concrete dams and quantification of the failure probability are important tasks in dam safety assessment. The conditional probability of demand and capacity is usually estimated by numerical simulation and Monte Carlo technique. However, the estimated failure probability (or the reliability index) is dam-dependent which makes its application limited to some case studies. This article proposes an analytical failure model for generic gravity dam classes which is optimized based on large number of nonlinear finite element analyses. A hybrid parametric–probabilistic–statistical approach is used to estimate the failure probability as a function of dam size, material distributional models and external hydrological hazard. The proposed model can be used for preliminary design and evaluation of two-dimensional gravity dam models.

3D tomographic imaging of the southern Apennines (Italy): A statistical approach to estimate the model uncertainty and resolution

2010 ◽  
Vol 54 (3) ◽  
pp. 367-387 ◽  
Author(s):  
Raffaella De Matteis ◽  
Annalisa Romeo ◽  
Giuseppe Pasquale ◽  
Giovanni Iannaccone ◽  
Aldo Zollo
Keyword(s):  
Model Uncertainty ◽  
Statistical Approach ◽  
Tomographic Imaging ◽  
Southern Apennines

A statistical approach to identifying closed object boundaries in images

1994 ◽  
Vol 26 (4) ◽  
pp. 831-854 ◽  
Author(s):  
Jeffrey D. Helterbrand ◽  
Noel Cressie ◽  
Jennifer L. Davidson
Keyword(s):  
Prior Probability ◽  
Statistical Approach ◽  
Transition Probability ◽  
Probability Model ◽  
Monte Carlo Algorithm ◽  
Structural Components ◽  
Stationary Model ◽  
Boundary Estimate ◽  
Image Domain ◽  
Statistical Approaches

In this research, we present a statistical theory, and an algorithm, to identify one-pixel-wide closed object boundaries in gray-scale images. Closed-boundary identification is an important problem because boundaries of objects are major features in images. In spite of this, most statistical approaches to image restoration and texture identification place inappropriate stationary model assumptions on the image domain. One way to characterize the structural components present in images is to identify one-pixel-wide closed boundaries that delineate objects. By defining a prior probability model on the space of one-pixel-wide closed boundary configurations and appropriately specifying transition probability functions on this space, a Markov chain Monte Carlo algorithm is constructed that theoretically converges to a statistically optimal closed boundary estimate. Moreover, this approach ensures that any approximation to the statistically optimal boundary estimate will have the necessary property of closure.

Atmospheric chemistry of alkyl iodides: theoretical studies on the mechanisms and kinetics of CH3I/C2H5I + NO3 reactions

RSC Advances ◽  
2015 ◽  
Vol 5 (107) ◽  
pp. 88087-88095 ◽  
Author(s):  
Feng-Yang Bai ◽  
Xu Wang ◽  
Yan-Qiu Sun ◽  
Xiu-Mei Pan
Keyword(s):  
Atmospheric Chemistry ◽  
Theoretical Basis ◽  
Theoretical Studies ◽  
Alkyl Iodides ◽  
Kinetics Of ◽  
Sound Theoretical Basis

Mechanisms and kinetics of the reactions of the NO3 radical with CH3I and C2H5I have been investigated from a sound theoretical basis.

Reënforcement of Rubber by Fillers

1929 ◽  
Vol 2 (1) ◽  
pp. 21-31
Author(s):  
John T. Blake
Keyword(s):  
Fatty Acids ◽  
Theoretical Basis ◽  
Polar Compounds ◽  
The Other ◽  
Rubber Matrix ◽  
Double Integral ◽  
Other Hand ◽  
Sound Theoretical Basis ◽  
Volume Range

Abstract Wiegand's “Δ A” function, as represented by the double integral of tensile with respect to elongation and volume of a pigment over the base mix, is a practical means of expressing the reënforcing effect of the filler. On the other hand, the volume range over which the bonding of the filler is greater than the strength of the rubber matrix gives a better understanding of the condition of the filler in the rubber. Apparently, the importance of fatty acids and other polar compounds in dispersions can be put on a sound theoretical basis.

Masterfunctions Providing a Sound Theoretical Basis for the Extraction of AccuratekpData from PLP−SEC Chain-Length Distributions Exhibiting Poissonian and Gaussian Broadening

2003 ◽  
Vol 36 (26) ◽  
pp. 10021-10028 ◽  
Author(s):  
Andreas Kornherr ◽  
Oskar Friedrich Olaj ◽  
Irene Schnöll-Bitai ◽  
Gerhard Zifferer
Keyword(s):  
Chain Length ◽  
Theoretical Basis ◽  
Sound Theoretical Basis

Study on Bleaching Properties of Dark Chicken Feather

2014 ◽  
Vol 675-677 ◽  
pp. 709-712
Author(s):  
Yun Li Wang ◽  
Dan Sheng ◽  
Xiong Wei Xia ◽  
Qian Wei Zhao ◽  
Wei Lin Xu
Keyword(s):  
Theoretical Basis ◽  
Chicken Feather ◽  
Fine Hair ◽  
Bleaching Process ◽  
Before And After ◽  
Dark Color ◽  
Sound Theoretical Basis

Chicken feather have many excellent properties, unfortunately, the dark color affects its wide applications. In this study, the three stage bleaching process was used to bleach the dark chicken feather. The effects of the key chemicals on bleaching properties were discussed, and the change of the fine hair whiteness and strength before and after bleaching were investigated. It provides a sound theoretical basis for people understanding and studying the bleaching properties of chicken feather.

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