scholarly journals CONDITIONS VULNERABILITY IDENTIFICATION OF NATURAL AND TECHNICAL OBJECTS BASED ON LINEAR SPLINE INTERPOLATION OF INTERFACE TRAFFIC INTENSITY

2021 ◽  
pp. 143-151
Author(s):  
A.V. Skatkov ◽  
◽  
A.A. Bryukhovetskiy ◽  
I.А. Skatkov ◽  
◽  
...  
Keyword(s):  
Spline Interpolation ◽  
Piecewise Linear ◽  
External Disturbance ◽  
Traffic Intensity ◽  
Second Stage ◽  
Modeling Methods ◽  
Number Of Factors ◽  
Data Flows ◽  
Linear Splines

The method of application of spline interpolation in solving the problems of identification of abnormal states (A-events) in information data flows and classification of the specified events in the control of natural and technical objects (PTO) is considered. The approach is based on the representation of the intensity of interface traffic by piecewise linear splines and implemented using a modeling stand. At the first stage, descriptions are generated and formed in the form of linear splines representing the states of controlled objects, one of which is subject to external disturbance. At the second stage, the generated descriptions of splines are used to assess discrepancies between the studied distributions and the influence of a number of factors on the reliability of decisions made using probabilistic modeling methods in the Anylogic environment.

A novel two-stage method of plant seedlings classification based on deep learning

2021 ◽  
pp. 1-11
Author(s):  
Tianhong Dai ◽  
Shijie Cong ◽  
Jianping Huang ◽  
Yanwen Zhang ◽  
Xinwang Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Learning Technology ◽  
Two Stage ◽  
Second Stage ◽  
Stage Classification ◽  
Different Types ◽  
Two Stages ◽  
Plant Seedlings

In agricultural production, weed removal is an important part of crop cultivation, but inevitably, other plants compete with crops for nutrients. Only by identifying and removing weeds can the quality of the harvest be guaranteed. Therefore, the distinction between weeds and crops is particularly important. Recently, deep learning technology has also been applied to the field of botany, and achieved good results. Convolutional neural networks are widely used in deep learning because of their excellent classification effects. The purpose of this article is to find a new method of plant seedling classification. This method includes two stages: image segmentation and image classification. The first stage is to use the improved U-Net to segment the dataset, and the second stage is to use six classification networks to classify the seedlings of the segmented dataset. The dataset used for the experiment contained 12 different types of plants, namely, 3 crops and 9 weeds. The model was evaluated by the multi-class statistical analysis of accuracy, recall, precision, and F1-score. The results show that the two-stage classification method combining the improved U-Net segmentation network and the classification network was more conducive to the classification of plant seedlings, and the classification accuracy reaches 97.7%.

The clinical utility of the glycemic index and its application to mixed meals

1991 ◽  
Vol 69 (1) ◽  
pp. 100-107 ◽  
Author(s):  
Clarie B. Hollenbeck ◽  
Ann M. Coulston
Keyword(s):  
Glycemic Index ◽  
Clinical Utility ◽  
Postprandial Glucose ◽  
Dependent Diabetes Mellitus ◽  
Glycemic Response ◽  
Glucose Response ◽  
Number Of Factors ◽  
Carbohydrate Intolerance ◽  
Low Glycemic Index

A classification of carbohydrate-containing foods based on their glycemic response to 50-g carbohydrate portions has recently been developed. The relative glycemic potency of many of these carbohydrate-containing foods have been compared, and these data have been published in the form of a glycemic index. It has been suggested that meals containing low glycemic index foods will result in a lower postprandial glucose response than meals with a higher glycemic index. However, whether or not these data will lead to a clinically useful reduction in postprandial hyperglycemia in individuals with carbohydrate intolerance remains controversial. In this review, we will try to delineate why we believe that the glycemic index, as currently developed, may be a specious issue. In addition, we will briefly discuss a number of factors that may explain the apparent discrepancy in viewpoints on this issue.Key words: glycemic index, noninsulin-dependent diabetes mellitus, glycemic response, dietary carbohydrate.

scholarly journals Analysis and classification of tem¬perature measurements during melting and casting of alloys using neural networks

2020 ◽  
Vol 63 (10) ◽  
pp. 856-861
Author(s):  
A. V. Fedosov ◽  
G. V. Chumachenko
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Human Factor ◽  
High Efficiency ◽  
Thermal Conditions ◽  
Second Stage ◽  
Three Stages ◽  
Fully Automatic ◽  
Artificial Neural

The article considers the issues of monitoring the thermal conditions of alloys melting and casting at foundries. It is noted that the least reliable method is when the measurement and fixing the temperature is assigned to the worker. On the other hand, a fully automatic approach is not always available for small foundries. In this regard, the expediency of using an automated approach is shown, in which the measurement is assigned to the worker, and the values are recorded automatically. This method assumes implementation of an algorithm for automatic classification of temperature measurements based on an end-to-end array of data obtained in the production stream. The solving of this task is divided into three stages. Preparing of raw data for classification process is provided on the first stage. On the second stage, the task of measurement classification is solved by using neural network principles. Analysis of the results of the artificial neural network has shown its high efficiency and degree of their correspondence with the actual situation on the work site. It was also noted that the application of artificial neural networks principles makes the classification process flexible, due to the ability to easily supplement the process with new parameters and neurons. The final stage is analysis of the obtained results. Correctly performed data classification provides an opportunity not only to assess compliance with technological discipline at the site, but also to improve the process of identifying the causes of casting defects. Application of the proposed approach allows us to reduce the influence of human factor in the analysis of thermal conditions of alloys melting and casting with minimal costs for melting monitoring.

scholarly journals Analysis of Platform Leveling Systems for Tracked Feller-Buncher Machines

Inventions ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 96
Author(s):  
Andronov Alexandr ◽  
Bacherikov Ivan ◽  
Zverev Igor
Keyword(s):  
Mathematical Model ◽  
Center Of Mass ◽  
Slope Angle ◽  
Hydraulic Cylinder ◽  
Second Stage ◽  
Modeling Methods ◽  
The Third ◽  
Support Reaction ◽  
Third Stage ◽  
The Stability

The study was devoted to the analysis of feller buncher platform leveling systems. The widespread use of these systems in the design of modern feller-buncher machines makes the study relevant to assess operational efficiency. The analysis was conducted in five stages using analytical and stochastic mathematical modeling methods. In the first stage, the existing layouts of alignment systems were analyzed from the position of force on the hydraulic cylinder rods of the platform tilt drive. The three-cylinder layout scheme, where the force on the hydraulic cylinder rod was 50…60% less than that on the two-cylinder layout, appeared to be the most expedient. In the second stage, a mathematical model for determining changes in the position of the center of mass of the feller-buncher depending on the inclination angle of the platform was derived. In the third stage, a mathematical model was derived for determining the limiting angle of slope of the terrain when the feller buncher moved up the slope. For this purpose, two calculation schemes were considered when the machine moved up the slope without and with a tilted platform. Zero support reaction on the front roller was taken as the stability criterion. In the fourth stage, a mathematical model for determining the limiting angle of slope of the terrain during the roll of the feller-buncher machine was obtained. In the fifth stage, the efficiency of the application of leveling systems was evaluated. A graph of the dependence of changes in the terrain slope angle on the platform slope angle was plotted, and a regression dependence for an approximate estimate was obtained. A regression analysis was also carried out, and dependencies were obtained to determine the weight of a feller-buncher with a leveling system and the added pressure on the ground caused by the increase in the weight of the base machine. The analysis of platform leveling systems showed the effectiveness of their application in the designs of feller-buncher machines, as it allows the machines to work on slopes with an inclination of 50…60% more than without them.

scholarly journals Modeling in marine ice engineering

2021 ◽  
Vol 11 (4) ◽  
pp. 557-567
Author(s):  
A.A. Dobrodeev ◽  
◽  
K.E. Sazonov ◽  
Keyword(s):  
Modeling And Simulation ◽  
Operating Conditions ◽  
Design Stage ◽  
Modern World ◽  
Marine Structures ◽  
Modeling Methods ◽  
Wide Range ◽  
Comparative Advantages ◽  
Quantitative Results

In the modern world, it is already difficult to imagine the creation of a significant engineering structure without modeling its external and internal appearance, the operation modeling of the main mechanisms, operating conditions and many other design features and emerging phenomena at the design stage. The paper interprets modeling and simulation as one of the computational methods that allow us to obtain quantitative results when studying ice impact on marine structures, for e.g. icebreakers and transport vessels, platform substructures, hydro-technical installations. In connection with the above, from the existing classification of modeling methods, the authors consider the physical and mathematical ones in the work. They present comparative advantages of both methods in their application in the problems of marine ice engineering, as well as the prospects for their development for solving a wide range of scientific problems aimed at the development of Arctic shipbuilding.

Clinical and psychopathological characteristics of sexual dysfunctions and non-psychotic mental disorders in women

2021 ◽  
Vol LIII (2) ◽  
pp. 42-45
Author(s):  
Alexander V. Martusenko ◽  
Elena O. Boyko ◽  
Olga G. Zaitseva
Keyword(s):  
Mental Disorders ◽  
Diagnostic Criteria ◽  
Inpatient Treatment ◽  
International Classification Of Diseases ◽  
Sexual Disorders ◽  
Sexual Dysfunctions ◽  
Second Stage ◽  
The Third ◽  
Classification Of Diseases

Aim. Study of clinical and psychopathological characteristics in women with sexual dysfunctions and mental disorders of the psychotic level. Material and methods. Clinical-psychopathological and sexological methods were used in the work. The results were processed using the licensed program Statistica 10.0 for Windows. At the first stage, 134 women (mean age 43.115.3 years) were examined who had inpatient treatment in the department for persons with non-psychotic mental disorders. At the second stage, the study involved 89 women (mean age 35.212.2 years), who were diagnosed with sexual dysfunctions. Results. Clinical and psychopathological indicators were studied, clinical, psychopathological and sexological analysis of sexual dysfunctions in women with non-psychotic mental disorders was carried out, taking into account the diagnostic criteria of the International Classification of Diseases-10. Three groups of patients were identified: (1) a group of women with sexual dysfunctions caused by non-psychotic mental disorders; (2) a group of patients in whom non-psychotic mental disorders were formed against the background of primary sexual pathology; (3) a group of patients in whom non-psychotic mental disorders accompany sexual dysfunctions. Conclusions. Sexual disorders in the studied groups are characterized by the predominance of libido disorder in the first group and the second group, as well as the predominance of dyspareunia in the third. There were no significant differences in the duration of sexual dysfunctions in the groups, which must be taken into account when choosing therapeutic and rehabilitation measures.

A Multi-Stage Framework for Classification of Unconstrained Image Data From Mobile Phones

2018 ◽  
pp. 2387-2401
Author(s):  
Shashank Mujumdar ◽  
Dror Porat ◽  
Nithya Rajamani ◽  
L.V. Subramaniam
Keyword(s):  
Image Classification ◽  
Mobile Phones ◽  
Real World ◽  
Image Data ◽  
Complex Environments ◽  
Second Stage ◽  
Classification Framework ◽  
Multi Stage ◽  
Efficient Detection

During the past decade, the number of mobile electronic devices equipped with cameras has increased dramatically and so has the number of real-world applications for image classification. In many of these applications, the image data is captured in an uncontrolled manner and in complex environments and conditions under which existing image classification techniques may not perform well. In this paper, the authors provide a detailed description of an efficient multi-stage image classification framework that is robust enough to remain effective also under challenging imaging conditions, and demonstrate its effectiveness in the context of classification of real-world images of dumpsters captured by mobile phones in the metropolitan city of Hyderabad. Their system is able to achieve accurate classification of the cleanliness state of the dumpsters by utilizing a multi-stage approach, where the first stage is the efficient detection of the dumpster and the second stage is the classification of its state. The authors provide a detailed analysis of the performance of the system as well as comprehensive experimental results on real-world image data.

scholarly journals On the predictability of economic structural change by the Poincaré–Bendixson theory

foresight ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 250-265 ◽  
Author(s):  
Denis Stijepic
Keyword(s):  
Structural Change ◽  
Design Methodology ◽  
Economic Structure ◽  
Content Type ◽  
Geometrical Properties ◽  
Modeling Methods ◽  
Modeling And Prediction ◽  
Long Run ◽  
Topological Modeling

Purpose The three-sector framework (relating to agriculture, manufacturing and services) is one of the major concepts for studying the long-run change of the economic structure. This paper aims to discuss the system-theoretical classification of the structural change in the three-sector framework and, in particular, its predictability by the Poincaré–Bendixson theory. Design/methodology/approach This study compares the assumptions of the Poincaré–Bendixson theory to the typical axioms of structural change modeling, the empirical evidence on the geometrical properties of structural change trajectories and the methodological arguments referring to the laws of structural change. Findings The findings support the assumption that the structural change phenomenon is representable by a dynamical system that is predictable by the Poincaré–Bendixson theory. This result implies, among others, that in the long run, structural change is either transitory or cyclical and can be used in further geometrical/topological long-run structural change modeling and prediction. Originality/value Although widespread in mathematics, geometrical/topological modeling methods have not been used in modeling and prediction of long-run structural change, despite the fact that they seem to be predestined for this purpose owing to their global, system-theoretical nature, allowing for a reduction of ideology content of predictions and greater robustness of results.

scholarly journals The Design Process at Le Corbusier, Case of the Ronchamp Chapel

2019 ◽  
Vol 1 (1) ◽  
pp. 1275-1282
Author(s):  
Nadjat Outmoune ◽  
Abdelmalek Arrouf
Keyword(s):  
Empirical Studies ◽  
Data Gathering ◽  
Le Corbusier ◽  
Generic Model ◽  
Design Activity ◽  
Genetic Method ◽  
Second Stage ◽  
Three Stages ◽  
Last Stage

AbstractThis work falls within the empirical studies of design activity. Its project is to understand Le Corbusier's designing way and how does he work and structure his design processes. Doing so, it jumps above the descriptive and doctrinal knowledge of objects produced by “Le Corbusier” to study the actions and mechanisms that led to them.To achieve its aim, this study uses genetic method, developed by P.M. De Biasi of literary origin, this research method is made of three stages. The first one, which is of empirical nature, is one of data gathering. It leads to the establishment of genesis tables and to the classification of the all collected documents. The second stage, makes the analysis of all the collected documents one by one. It allows the restitution of the creative process of one projects “Le Corbusier” which is “la chapelle de Notre Dame du haut de Ronchamp”. The last stage is finally that define the design processe of the this project. The results show that the design activity of “Le Corbuiser” obeys the overall logic of one generic model which may be called his individual designing style.

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