scholarly journals Applying Measurement Theory and Information-based Measure in Modeling Physical Phenomena and Technological Processes

2018 ◽  
Vol 3 (1) ◽  
pp. 28
Author(s):  
Boris Michailovich Menin
Keyword(s):  
Traditional Approach ◽  
Measurement Theory ◽  
Experimental Results ◽  
Calculation Procedure ◽  
Experimental Estimate ◽  
Amount Of Information ◽  
Technological Processes ◽  
Uncertainty Calculation ◽  
Theory Of Measurements ◽  
Physical Phenomena

In this paper, we compare the features of the application of the theory of measurements and the measure of the similarity of the model to the phenomenon under study on the basis of calculating the amount of information contained in the model. An experimental estimate compared with the standard model’s uncertainty calculation procedure shows that this measure is preferable to the traditional approach to calculating the threshold discrepancy. The article presents an algorithm that is used to calculate the minimum achievable uncertainty in the resolution of the model's fuzziness, as well as experimental results demonstrating its effectiveness. 

Optimization Method of Massive Data Query

2014 ◽  
Vol 602-605 ◽  
pp. 3247-3250
Author(s):  
Yu Ming Chen
Keyword(s):  
Optimization Method ◽  
Experimental Results ◽  
Massive Data ◽  
Information Complexity ◽  
Apriori Algorithm ◽  
Amount Of Information ◽  
Data Query ◽  
Target Data

Optimization method ofmassive dataquery is researched in this paper.In the modernInternet environment,the datahas the characteristics oflarge amount of information, complexity, disorder, andchaosassociation. Using traditionalqueried methodsoftenrequirea lot oflimitedconditions, witha lot of drawbacks such as time-consuming data query, moreineffective queryand low efficiency.To this end, anoptimizationmethod of massive data query based onparallel Apriori algorithm is proposed in this paper.The massive dataare made simplification processing andredundant data are deleted to providedata foundation for fast and accuratedataquery.Effectiveassociation rulesof the massive data are calculated, in order to obtain the relevantof the target data. Based onAprioriparallel algorithm,massivedata are processedto achieveaccurate query. Experimental results show thatthe use ofoptimization algorithm for massive dataquerycan improvethe query speedof target data and it has a strong superiority.

Models of pressure compaction and their application for wheat meal

2014 ◽  
Vol 28 (1) ◽  
pp. 125-130 ◽  
Author(s):  
Stanisław Skonecki ◽  
Ryszard Kulig ◽  
Grzegorz Łysiak
Keyword(s):  
Moisture Content ◽  
Granular Materials ◽  
Plant Material ◽  
Experimental Results ◽  
Plant Origin ◽  
Model Equations ◽  
Physical Phenomena

Abstract Processes of compaction of granular materials were described using selected models. The analysis of their accuracy on the example of wheat was the basis for the discussion on their applicability to the processing of plant-origin materials. Parameters of the model equations for wheat, compressed at 10-18% moisture content were calculated, and the relations between these parameters and wheat moisture were determined. It was found that the analyzed models described the pressure compaction of granular plant material with different accuracy, and were highly dependent on moisture. The study also indicated that the model of Ferrero et al. fits the experimental results well. The parameters of this model reflected very well the physical phenomena which occur during compression.

Uncertainty Analysis in Louver Fin Aluminum Heat Exchangers

2014 ◽  
Author(s):  
Pradeep Shinde ◽  
Cheng-Xian Lin
Keyword(s):  
Reynolds Number ◽  
Heat Exchanger ◽  
Uncertainty Analysis ◽  
Heat Exchangers ◽  
Uncertainty Estimation ◽  
Calculation Procedure ◽  
Systematic Analysis ◽  
F Factor ◽  
Uncertainty Calculation ◽  
Parameter Ranges

Uncertainty estimate, although an important subject, is not carried out in a consistent way by different researchers. In this paper, the authors performed a systematic analysis to enumerate the uncertainty calculation procedure for the brazed aluminum microchannel heat exchangers with louvered fins. Using the basic method suggested by Moffat (1988), the present study elaborates the uncertainty estimation of Reynolds number, Colburn j-factor, and friction f-factor for a liquid-air brazed aluminum heat exchanger system. The important factors and their calculation procedure associated with the uncertainty analysis are discussed. The procedure is verified and the uncertainties are estimated for a standard microchannel heat exchanger configuration available in the market. The effect of the measurement variables on the uncertainty factor is illustrated in figures. The range of uncertainties for Reynolds number, Colburn j-factor and friction f-factor are examined within the investigate parameter ranges. The study provides the calculation procedures and conditions as future reference for uncertainty analysis of louver fin brazed aluminum heat exchangers, in particular. The paper also discusses uncertainty estimation for heat exchanger systems, in general.

Fast Face Detection Based on AdaBoost and Canny Operators

2014 ◽  
Vol 716-717 ◽  
pp. 936-939
Author(s):  
Lin Zhang
Keyword(s):  
Face Detection ◽  
Detection Method ◽  
Face Image ◽  
Experimental Results ◽  
Detection Accuracy ◽  
Human Face ◽  
Adaboost Algorithm ◽  
Amount Of Information ◽  
Detection Speed

Detection speed of traditional face detection method based on AdaBoost algorithm is slow since AdaBoost asks a large number of features. Therefore, to address this shortcoming, we proposed a fast face detection method based on AdaBoost and canny operators in this paper. Firstly, we use canny operators to detect edge of face image which separates the region of the possible human face from image, and then do face detection in the separated region using Modest AdaBoost algorithm (MAB). Before using MAB to achieve face detection, utilizing canny operators to detect edge can make this algorithm effectively filter information, retain useful information, reduce the amount of information and improve detection speed. Experimental results show that the algorithm can obtain higher detection accuracy and detection speed has been significantly improved at the same time.

Prediction of Lift and Cavitation Characteristics of Hydrofoil-Strut Arrays

1965 ◽  
Vol 2 (01) ◽  
pp. 57-69
Author(s):  
Robert S. Johnson
Keyword(s):  
Experimental Results ◽  
Calculation Procedure ◽  
Taylor Model ◽  
Hydrodynamic Testing

Two hydrofoil-nacelle-strut arrays and one hydrofoil-strut array have recently undergone hydrodynamic testing at the David Taylor Model Basin. A calculation procedure for predicting lift and cavitation characteristics of conventional hydrofoil arrays is suggested herein and is compared with the experimental results.

Uncertainty Analysis of Helical Deviation Measurements

2010 ◽  
Vol 437 ◽  
pp. 212-216 ◽  
Author(s):  
Zhao Yao Shi ◽  
Jia Chun Lin ◽  
Michael Paul Krystek
Keyword(s):  
Measurement Uncertainty ◽  
Measurement Errors ◽  
National Standards ◽  
Calculation Procedure ◽  
Uncertainty In Measurement ◽  
Uncertainty Calculation ◽  
Measurement Results ◽  
Polar Coordinate ◽  
Expression Of Uncertainty ◽  
Dynamical Measurement

The helix is a complex geometrical element. During the process of a dynamical measurement of the helical deviations, many factors, including the machine and the environment, lead to measurement errors. Although ISO as well as national standards stipulate the tolerances and assessment methods for helical deviations, these standards contribute little to the uncertainty calculations concerning such measurements. According to the Guide to the Expression of Uncertainty in Measurement (GUM), all measurement results must have a stated uncertainty associated to them. But in most cases of helical deviation measurements, no uncertainty value is given, simply because no measurement uncertainty calculation procedure exists. For the case of helical deviation measurements on a Computer Numeric Control (CNC) polar coordinate machine, this paper analyses in detail all kinds of factors contributing to the measurement uncertainty, and gives the calculation procedure of the measurement uncertainty of helical deviation. As an example, the calculation of the measurement uncertainty of the helical deviations of a worm is presented.

The Influence of Thermal-Mechanical Effectson Resistance Changes During and After Electromigration Experiments

1995 ◽  
Vol 391 ◽  
Author(s):  
A. SCORZONI ◽  
I. DE MUNARI ◽  
H. STULENS ◽  
V. D'HAEGER
Keyword(s):  
High Resolution ◽  
Stress Relaxation ◽  
Volume Change ◽  
Hydrostatic Stress ◽  
Experimental Results ◽  
Simultaneous Effect ◽  
Linear Resistance ◽  
Triggering Events ◽  
Complementary Techniques ◽  
Physical Phenomena

AbstractThis paper is focused on the non-linear resistance behaviours often detected by means of high resolution resistometric methods both at the very beginning of an electromigration (EM) test, and after the high stressing current inducing EM is switched off. It is shown that temperature steps, always present at the beginning or after EM, are the triggering events for different, often reversible, physical phenomena contributing to resistance changes. Precipitation-dissolution of alloyed elements is perhaps the most important one, while other mechanisms, like the combined effect of hydrostatic stress relaxation and void volume change, should cancel out. These effects, however, don't exclude a possible simultaneous effect on the resistance of accumulation/relaxation of EM damage. Experimental results are collected by means of different, complementary techniques.

OPTIMIZATION OF A NONLINEAR ELECTRICAL–THERMAL MODEL OF THE SKIN

2013 ◽  
Vol 25 (03) ◽  
pp. 1350039 ◽  
Author(s):  
S. Rasoul Molaei ◽  
Reza Jafari ◽  
Sajad Jafari ◽  
Hamid Reza Abdolmohammadi
Keyword(s):  
Genetic Algorithm ◽  
Thermal Model ◽  
Outward Current ◽  
Special Kind ◽  
Experimental Results ◽  
Large Set ◽  
Small Set ◽  
State Regime ◽  
Physical Phenomena ◽  
Capacitance Current

This paper presents modified equations for a nonlinear electrical–thermal model of the skin, and optimizes the parameters of the model by a genetic algorithm. In publications, an electrical–thermal model for the skin has been presented. Although, the model is sophisticated and includes the most of physical phenomena occurring in the skin; however, mathematical equations used in this model for the capacitance and dissipated power are incompletely stated so that they sometimes cause instability in solving the equations. In this paper, the equations given previously for the capacitance current and the dissipated power are first modified. We have considered different inward and outward current in the model, since there are different ions which make this two currents in the skin. Then, a special kind of genetic algorithm is applied to estimate the parameters of the model. The used algorithm is a powerful optimization tool against high-dimensional problems and can overcome the curse of dimensionality. In each iteration, it divides variable sets into two groups: a small set still variable and a large set frozen on their best values. Finally, modeling results are compared with experimental results. The comparison shows there is a good agreement between the modeling and experimental results especially in the steady state regime.

A New Document Representation Using a Unified Graph to Document Similarity Search

2012 ◽  
Vol 601 ◽  
pp. 394-400
Author(s):  
Taeh Wan Kim ◽  
Ho Cheol Jeon ◽  
Joong Min Choi
Keyword(s):  
Similarity Search ◽  
Traditional Approach ◽  
Experimental Results ◽  
Document Representation ◽  
Web Page ◽  
Undirected Graphs ◽  
Document Similarity ◽  
Ranked List ◽  
The Web

Document similarity search is to retrieve a ranked list of similar documents and find documents similar to a query document in a text corpus or a web page on the web. But most of the previous researches regarding searching for similar documents are focused on classifying documents based on the contents of documents. To solve this problem, we propose a novel retrieval approach based on undirected graphs to represent each document in corpus. In addition, this study also considers unified graph in conjunction with multiple graphs to improve the quality of searching for similar documents. Experimental results on the Reuters-21578 data demonstrate that the proposed system has better performance and success than the traditional approach.

scholarly journals Histogram of Oriented Gradient Based Gist Feature for Building Recognition

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Bin Li ◽  
Kaili Cheng ◽  
Zhezhou Yu
Keyword(s):  
Feature Extraction ◽  
Traditional Approach ◽  
Gabor Filters ◽  
Experimental Results ◽  
New Method ◽  
Histogram Of Oriented Gradient ◽  
Feature Vectors ◽  
Building Recognition ◽  
Gradient Based

We proposed a new method of gist feature extraction for building recognition and named the feature extracted by this method as the histogram of oriented gradient based gist (HOG-gist). The proposed method individually computes the normalized histograms of multiorientation gradients for the same image with four different scales. The traditional approach uses the Gabor filters with four angles and four different scales to extract orientation gist feature vectors from an image. Our method, in contrast, uses the normalized histogram of oriented gradient as orientation gist feature vectors of the same image. These HOG-based orientation gist vectors, combined with intensity and color gist feature vectors, are the proposed HOG-gist vectors. In general, the HOG-gist contains four multiorientation histograms (four orientation gist feature vectors), and its texture description ability is stronger than that of the traditional gist using Gabor filters with four angles. Experimental results using Sheffield Buildings Database verify the feasibility and effectiveness of the proposed HOG-gist.

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