Methodology of Developing Mathematical Models for Quality Indices Control

2014 ◽  
Vol 598 ◽  
pp. 643-646 ◽  
Author(s):  
Marina Polyakova ◽  
Alexey Korchunov
Keyword(s):  
Mathematical Models ◽  
Production Quality ◽  
Control Parameters ◽  
Quality Indices ◽  
Hierarchical Tree ◽  
Input And Output ◽  
Structure Of Metal ◽  
Different Types ◽  
Metal Products ◽  
Hardware Industry

It is proposed to set the structure of metal products quality as a hierarchical tree of properties. Input and output variables and also control parameters of technological processes are represented as universal multitudes in formalization of the process of production quality indices handling in hardware industry technologies. Presence of simultaneously diversified information initiating different types of independence, is characteristic of solving problems of metal products quality indices control.

Methodology of Developing Mathematical Models with Fuzzy Logic Elements for Quality Indices Control

2013 ◽  
Vol 436 ◽  
pp. 374-381 ◽  
Author(s):  
Alexey Korchunov ◽  
Mikhail Chukin ◽  
Aleksandr Lysenin
Keyword(s):  
Fuzzy Logic ◽  
Mathematical Models ◽  
Preference Relation ◽  
Fuzzy Relation ◽  
Quality Indices ◽  
New Models ◽  
Acting Process ◽  
Metal Products ◽  
Process Operations ◽  
Fuzzy Logic Theory

Advantages of applying fuzzy logic theory to metal products quality indices control in development of new models and in improvement of acting process operations are shown. It is proved that it is appropriate to determine fuzzy relation as preference relation in process of handling products quality indices in process operations. Elaboration of algorithm of handling mathematical models with fuzzy logic elements to control quality indices is undertaken. Methodology of mathematical models development with fuzzy logic elements for metal products quality indices control is created. Process of metal products quality indices control on the basis of models with fuzzy logic elements is illustrated.

Different modulation schemes for direct and external modulators based on various laser sources

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Hazem M. El-Hageen ◽  
P.G. Kuppusamy ◽  
Aadel M. Alatwi ◽  
M. Sivaram ◽  
Z. Ahamed Yasar ◽  
...  
Keyword(s):  
Rate Equation ◽  
Simulation Software ◽  
Optical Systems ◽  
Laser Source ◽  
Optical Link ◽  
Input And Output ◽  
Modulation Techniques ◽  
Different Types ◽  
Laser Sources ◽  
Modulation Schemes

AbstractDifferent types of laser source modulation techniques have been used in various applications depending on the objective. As optical systems extract the laws and the best solutions from experiments and simulations, the present study uses simulation software with different modulation types so the output signals can be compared. The modulators used are Mach-Zehnder, which is an external modulator, and electro-absorption modulator and laser rate equation modulator, which are direct modulators. All these types have an optical link multimode (MM) fiber with a photodiode in the receiver end that can be modeled. The input and output signals are analyzed using different types of modulations.

An algebraic approach to N-soft sets with application in decision-making using TOPSIS

2021 ◽  
pp. 1-21
Author(s):  
Muhammad Shabir ◽  
Rimsha Mushtaq ◽  
Munazza Naz
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Real World ◽  
Algebraic Approach ◽  
Multi Criteria Decision Making ◽  
Commutative Monoids ◽  
Soft Sets ◽  
Algebraic Properties ◽  
Different Types ◽  
Selection Of

In this paper, we focus on two main objectives. Firstly, we define some binary and unary operations on N-soft sets and study their algebraic properties. In unary operations, three different types of complements are studied. We prove De Morgan’s laws concerning top complements and for bottom complements for N-soft sets where N is fixed and provide a counterexample to show that De Morgan’s laws do not hold if we take different N. Then, we study different collections of N-soft sets which become idempotent commutative monoids and consequently show, that, these monoids give rise to hemirings of N-soft sets. Some of these hemirings are turned out as lattices. Finally, we show that the collection of all N-soft sets with full parameter set E and collection of all N-soft sets with parameter subset A are Stone Algebras. The second objective is to integrate the well-known technique of TOPSIS and N-soft set-based mathematical models from the real world. We discuss a hybrid model of multi-criteria decision-making combining the TOPSIS and N-soft sets and present an algorithm with implementation on the selection of the best model of laptop.

RELIABILITY ASSESSMENT OF AXIALLY COMPRESSED COMPOSITE CYLINDRICAL SHELLS WITH RANDOM IMPERFECTIONS

2011 ◽  
Vol 11 (02) ◽  
pp. 215-236 ◽  
Author(s):  
MATTEO BROGGI ◽  
ADRIANO CALVI ◽  
GERHART I. SCHUËLLER
Keyword(s):  
Mathematical Models ◽  
Axial Compression ◽  
Cylindrical Shells ◽  
Reliability Assessment ◽  
Buckling Analysis ◽  
Buckling Load ◽  
Experimental Results ◽  
Drastic Decrease ◽  
Different Types ◽  
Probability And Statistics

Cylindrical shells under axial compression are susceptible to buckling and hence require the development of enhanced underlying mathematical models in order to accurately predict the buckling load. Imperfections of the geometry of the cylinders may cause a drastic decrease of the buckling load and give rise to the need of advanced techniques in order to consider these imperfections in a buckling analysis. A deterministic buckling analysis is based on the use of the so-called knockdown factors, which specifies the reduction of the buckling load of the perfect shell in order to account for the inherent uncertainties in the geometry. In this paper, it is shown that these knockdown factors are overly conservative and that the fields of probability and statistics provide a mathematical vehicle for realistically modeling the imperfections. Furthermore, the influence of different types of imperfection on the buckling load are examined and validated with experimental results.

Application of Molecular Topology to the Prediction of Water Quality Indices of Alkylphenol Pollutants

2013 ◽  
pp. 1-10
Author(s):  
Jorge Gálvez ◽  
Miriam Parreño ◽  
Jordi Pla ◽  
Jaime Sanchez ◽  
María Gálvez-Llompart ◽  
...  
Keyword(s):  
Water Quality ◽  
Regression Analysis ◽  
Mathematical Models ◽  
Chemical Oxygen Demand ◽  
Cross Validation ◽  
Oxygen Demand ◽  
Molecular Topology ◽  
Quality Indices ◽  
Randomization Tests ◽  
Internal Validation

In this paper, topological-mathematical models based on multilineal regression analysis have been built as a model of the degradability of 26 alkylphenols through the Chemical Oxygen Demand (COD) and Biochemical Oxigen Demand (BOD5). Two models with three-variable were selected (r2= 0.8793 and q2=0.8075 for log(1/COD) and r2= 0.8928 and q2=0.8327 for log(1/BOD5). The models were validated by cross-validation, internal validation and randomization tests. The results, which stand in good accordance with the obtained results, confirm the robustness of the method.

Image Processing and Artificial Neural Network for Robot Application

2014 ◽  
Vol 658 ◽  
pp. 678-683 ◽  
Author(s):  
Cristian Pop ◽  
Sanda Margareta Grigorescu ◽  
Erwin Christian Lovasz
Keyword(s):  
Neural Network ◽  
Robot Vision ◽  
Working Environment ◽  
Shape Classification ◽  
Input And Output ◽  
Different Types ◽  
Object Sorting ◽  
Feature Based ◽  
Position And Orientation ◽  
Vision Application

This paper presents a robot vision application, implemented in MATLAB working environment, developed for feature-based object recognition, object sorting and manipulation, based on shape classification and its pose calculus for proper positioning. The application described in this article, designed to detect, identify, classify and manipulate objects is based on previous robot vision applications that are presented in more detail in [1]. The idea underlying the mentioned applications is to determine the type, position and orientation of the work pieces (in those cases different types of bearings). Taking it further, in the presented application, objects that show shape with a gradual level of complexity are used. For this reason pattern recognition are discriminated by training a two layers neural network. The network is presented and also the input and output vectors.

NUMERICAL SIMULATION OF AN ELECTRODYNAMIC TRANSDUCER CONTROL OF INSULIN PROVISION IN THE BERGMAN’S AND THE CHENG’S MODELS FOR THE DYNAMICS OF THE COUPLE GLUCOSE-INSULIN IN DIABETICS

2020 ◽  
Vol 20 (08) ◽  
pp. 2050055
Author(s):  
URSULE ESSAMBA MAH ◽  
PAUL WOAFO
Keyword(s):  
Numerical Simulation ◽  
Adaptive Control ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Mathematical Models ◽  
Diabetic Patient ◽  
Glucose Level ◽  
Control Parameters ◽  
Level Control ◽  
Diabetic Person

This paper deals with the numerical simulation of a model of blood glucose level control of a diabetic person using an electrodynamic transducer. Two mathematical models describing the dynamics of the couple glucose–insulin are used: the Bergman’s and the Cheng’s models. First, the adaptive control is applied on the dynamics of a reservoir opener by an electrodynamic transducer. Then it is applied on the two models of the glucose–insulin dynamics. It is found that the control of the reservoir opener and that of the glycemia of a diabetic patient are efficient for some values of the control parameters.

scholarly journals Mathematical models of beam input and output in the process of electron beam welding of thin-walled structures

2020 ◽  
Vol 1515 ◽  
pp. 052048
Author(s):  
S O Kurashkin ◽  
V S Tynchenko ◽  
Yu N Seregin ◽  
V E Petrenko ◽  
A V Milov ◽  
...  
Keyword(s):  
Electron Beam ◽  
Mathematical Models ◽  
Electron Beam Welding ◽  
Thin Walled Structures ◽  
Input And Output ◽  
Thin Walled
Sign in / Sign up

Export Citation Format

Share Document