scholarly journals VARIATIVE GEOMETRIC ALGORITHMS FOR MODELING MULTIFACTOR PROCESSES

2021 ◽  
pp. 135-145
Author(s):  
I. V. Seleznev ◽  
E. V. Konopatskiy ◽  
O. S. Voronova
Keyword(s):  
Geometric Modeling ◽  
Process Model ◽  
Model Comparison ◽  
Response Surfaces ◽  
Geometric Algorithms ◽  
Computational Experiments ◽  
Geometric Models ◽  
Variable Approach ◽  
Multidimensional Interpolation

The work is investigated by the influence of variable geometric algorithms in modeling multifactor processes using multidimensional interpolation. Geometric models of multifactorial processes obtained using multidimensional interpolation inherent variability, which is a consequence of the multiplicity of the choice of reference lines during the development of geometric modeling schemes. At the same time, all possible variations of geometric interpolyns are fully satisfying the initial data. It has been established that the number of variations of geometric schemes directly depends on the number of current parameters and the dimension of the space in which the simulated geometrical object is located. Thus, a variable approach to geometrical modeling of multifactor processes generates a number of scientific tasks, the main one is the need to determine the effect of the variability of geometric algorithms on the final results of the computational experiment and, as a result, the choice of the best modeling results. To this end, the article presents the studies of variable geometric algorithms and computational experiments on the example of 2-parametric geometric interpolyns. A classification of 2-parametric geometric interpolytesses, which were conditionally divided into 3 types. Depending on the geometric scheme of constructing interpolynta, the square geometric scheme, a rectangular geometric scheme, a mixed geometric scheme. As a result of computational experiments, it was found that for a square geometric scheme, the variability does not affect the final results, in rectangular geometric schemes, the variability has a slight influence, and mixed geometric schemes may have significant differences and require additional research to select the highest quality geometric process model. Comparison of geometric models were performed by the methods of scientific visualization by overlaying the response surfaces on each other.

GEOMETRIC MODELING OF MULTI-FACTOR PROCESSES BASED ON VARIABLE POINT ALGORITHMS

2021 ◽  
pp. 29-38
Author(s):  
E. V. Konopatskiy ◽  
I. V. Seleznev ◽  
M. V. Lagunova ◽  
A. A. Bezditniy
Keyword(s):  
Geometric Modeling ◽  
Geometric Theory ◽  
Physical And Mechanical Properties ◽  
Multidimensional Space ◽  
Fine Grained ◽  
Variable Approach ◽  
Multidimensional Interpolation ◽  
Geometric Objects ◽  
Variable Point ◽  
Current Point

In this paper, the geometric theory of multidimensional interpolation was further developed. It has been established that the geometric models of multivariate processes obtained using multidimensional interpolation are characterized by variability, which is a consequence of the multiplicity of choice of reference lines in the process of developing a geometric modeling scheme. At the same time, all possible variations of geometric interpolants fully satisfy the initial experimental and statistical data, but have different curvature between the node points of the interpolation. As the dimension of the space increases, the number of variations increases significantly. The variable approach to geometric modeling of multifactorial processes generates a number of scientific problems that require further research, such as: comparison of geometric objects of multidimensional space, development of criteria for choosing the best solutions, construction of averaged geometric objects as one of the tools for optimizing the results of modeling, etc. The article also presents the results of a computational experiment on geometric modeling of the dependence of the physical and mechanical properties of fine-grained concrete on the composition of the combined aggregate based on variable point algorithms with the subsequent construction of an averaged response surface, the current point of which is the center of gravity of a multidimensional tetrahedron, for which the dimension of space depends on the amount possible interpolation options.

scholarly journals Deep Learning Model Comparison for Vision-Based Classification of Full/Empty-Load Trucks in Earthmoving Operations

2019 ◽  
Vol 9 (22) ◽  
pp. 4871 ◽  
Author(s):  
Quan Liu ◽  
Chen Feng ◽  
Zida Song ◽  
Joseph Louis ◽  
Jian Zhou
Keyword(s):  
Deep Learning ◽  
Model Comparison ◽  
Surveillance Systems ◽  
Comparison Study ◽  
Learning Models ◽  
The Core ◽  
Dump Trucks ◽  
Deep Learning Model ◽  
Contact Field

Earthmoving is an integral civil engineering operation of significance, and tracking its productivity requires the statistics of loads moved by dump trucks. Since current truck loads’ statistics methods are laborious, costly, and limited in application, this paper presents the framework of a novel, automated, non-contact field earthmoving quantity statistics (FEQS) for projects with large earthmoving demands that use uniform and uncovered trucks. The proposed FEQS framework utilizes field surveillance systems and adopts vision-based deep learning for full/empty-load truck classification as the core work. Since convolutional neural network (CNN) and its transfer learning (TL) forms are popular vision-based deep learning models and numerous in type, a comparison study is conducted to test the framework’s core work feasibility and evaluate the performance of different deep learning models in implementation. The comparison study involved 12 CNN or CNN-TL models in full/empty-load truck classification, and the results revealed that while several provided satisfactory performance, the VGG16-FineTune provided the optimal performance. This proved the core work feasibility of the proposed FEQS framework. Further discussion provides model choice suggestions that CNN-TL models are more feasible than CNN prototypes, and models that adopt different TL methods have advantages in either working accuracy or speed for different tasks.

An Approach to Generate Three Dimensional Machining Process Model According to Information from Design Model Based on Definition

2016 ◽  
Vol 693 ◽  
pp. 1684-1692 ◽  
Author(s):  
Hong Lei Zhang ◽  
Wen He Liao ◽  
Yu Guo ◽  
Wen An Yang
Keyword(s):  
Process Model ◽  
Three Dimensional ◽  
Design Model ◽  
Machining Process ◽  
Model Generation ◽  
Geometric Models ◽  
Model Based

Faced with the problem of generation for 3D machining process model, an approach to generate three dimensional machining process model according to information from design model based on definition is proposed. Compared with the existing methods, the approach utilizes multiple information of design model based on definition and takes many phases into consideration of 3D process model generation. The structure of 3D machining process model is defined and the course of 3D process model generation is researched, including multiple information acquirement, generation of procedure geometric models and annotation. Finally, the framework of system and application for 3D machining process model generation are presented for validation purposes.

Business process model patterns: state-of-the-art, research classification and taxonomy

2019 ◽  
Vol 25 (5) ◽  
pp. 972-994 ◽  
Author(s):  
Michael Fellmann ◽  
Agnes Koschmider ◽  
Ralf Laue ◽  
Andreas Schoknecht ◽  
Arthur Vetter
Keyword(s):  
Business Process ◽  
Process Model ◽  
Pattern Language ◽  
Future Research ◽  
Business Process Model ◽  
Content Type ◽  
Research Activities ◽  
Starting Point ◽  
Research Classification

Purpose Patterns have proven to be useful for documenting general reusable solutions to a commonly occurring problem. In recent years, several different business process management (BPM)-related patterns have been published. Despite the large number of publications on this subject, there is no work that provides a comprehensive overview and categorization of the published business process model patterns. The purpose of this paper is to close this gap by providing a taxonomy of patterns as well as a classification of 89 research works. Design/methodology/approach The authors analyzed 280 research articles following a structured iterative procedure inspired by the method for taxonomy development from Nickerson et al. (2013). Using deductive and inductive reasoning processes embedded in concurrent as well as joint research activities, the authors created a taxonomy of patterns as well as a classification of 89 research works. Findings In general, the findings extend the current understanding of BPM patterns. The authors identify pattern categories that are highly populated with research works as well as categories that have received far less attention such as risk and security, the ecological perspective and process architecture. Further, the analysis shows that there is not yet an overarching pattern language for business process model patterns. The insights can be used as starting point for developing such a pattern language. Originality/value Up to now, no comprehensive pattern taxonomy and research classification exists. The taxonomy and classification are useful for searching pattern works which is also supported by an accompanying website complementing the work. In regard to future research and publications on patterns, the authors derive recommendations regarding the content and structure of pattern publications.

scholarly journals Hardware and Software Implementation of Constructive Geometric Models

2020 ◽  
pp. 83-98
Author(s):  
Denis Voloshinov ◽  
Konstantin Solomonov
Keyword(s):  
Computer Technology ◽  
Geometric Modeling ◽  
Software Implementation ◽  
Theoretical Research ◽  
Graphical Interface ◽  
Calculation Methods ◽  
Geometric Transformations ◽  
Geometric Models ◽  
Long Time ◽  
Geometric Modeling System

The article is devoted to the consideration of a number of issues of hardware and software implementation of constructive geometric models. A rich arsenal of theoretical research in the field of constructive geometry has not been properly used for a long time due to the lack of tools for translating such models using computer technology. The development and improvement of the Simplex geometric modeling system, in which any geometric design is considered as a converter of information represented by signals of a geometric nature, has opened the possibility of applying the achievements of geometric science in computing applications, as well as the development of hardware that implements geometric calculation methods and provides a new graphical interface. The concept developed by the authors is aimed at creating specialized accelerators of geometric transformations.

Abstract B51: Image-based classification of cancer drug combination response surfaces

2015 ◽  
Author(s):  
Manway Liu ◽  
Thomas Horn ◽  
Matthew Greene ◽  
Joseph Lehar
Keyword(s):  
Drug Combination ◽  
Response Surfaces ◽  
Cancer Drug

scholarly journals Process Model Comparison Based on Cophenetic Distance

2016 ◽  
pp. 141-158 ◽  
Author(s):  
David Sánchez-Charles ◽  
Victor Muntés-Mulero ◽  
Josep Carmona ◽  
Marc Solé
Keyword(s):  
Process Model ◽  
Model Comparison

scholarly journals Morphological Description and Classification of Wheat Kernels Based on Geometric Models

Agronomy ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 399 ◽  
Author(s):  
Martín-Gómez ◽  
Rewicz ◽  
Goriewa-Duba ◽  
Wiwart ◽  
Tocino ◽  
...  
Keyword(s):  
Aspect Ratio ◽  
Morphological Type ◽  
Morphological Description ◽  
Geometric Figure ◽  
Ploidy Levels ◽  
Geometric Models ◽  
Circularity Index ◽  
Length Width ◽  
Wheat Kernels

Modern automated and semi-automated methods of shape analysis depart from the coordinates of the points in the outline of a figure and obtain, based on artificial vision algorithms, descriptive parameters (i.e., the length, width, area, and circularity index). These methods omit an important factor: the resemblance of the examined images to a geometric figure. We have described a method based on the comparison of the outline of seed images with geometric figures. The J index is the percentage of similarity between a seed image and a geometric figure used as a model. This allows the description and classification of wheat kernels based on their similarity to geometric models. The figures used are the ellipse and the lens of different major/minor axis ratios. Kernels of different species, subspecies and varieties of wheat adjust to different figures. A relationship is found between their ploidy levels and morphological type. Kernels of diploid einkorn and ancient tetraploid emmer varieties adjust to the lens and have curvature values in their poles superior to modern “bread” varieties. Kernels of modern varieties (hexaploid common wheat) adjust to an ellipse of aspect ratio = 1.6, while varieties of tetraploid durum and Polish wheat and hexaploid spelt adjust to an ellipse of aspect ratio = 2.4.

Identifying the elements of entrepreneurial opportunity constructs

2016 ◽  
Vol 17 (4) ◽  
pp. 240-255 ◽  
Author(s):  
David J. Hansen ◽  
Javier Monllor ◽  
Rodney C. Shrader
Keyword(s):  
Process Model ◽  
Model Comparison ◽  
Future Research ◽  
Integrated Process ◽  
Entrepreneurial Opportunity ◽  
Important Phenomenon ◽  
Integrated Process Model

There is plenty of debate in the entrepreneurship literature regarding entrepreneurial opportunity. There also has been a lack of construct clarity. These two issues have combined to stifle progress in understanding this important phenomenon. We believe that across these debates there are many underlying commonalities and potential for more clear constructs. In this article, we review how scholars have defined and operationalized entrepreneurial opportunity and opportunity-related processes in order to better understand what they really mean when they say ‘opportunity’. We found a total of 102 definitions and 51 operationalizations from 105 articles published in leading entrepreneurship and management journals. A total of 81 elements were identified across the definitions and operationalizations and compiled into an integrated process model. The model incorporates what seemed to be disparate views into a single unifying model. Comparison between conceptual definitions and operationalizations reveals many elements that are missing either conceptual or empirical attention. The model will help scholars more easily identify and build upon prior research. To that effect, numerous suggestions for future research are discussed and are summarized in a table.

Sign in / Sign up

Export Citation Format

Share Document