scholarly journals Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness

2021 ◽  
Vol 12 (4) ◽  
pp. 311-322
Author(s):  
P. S. Serenkov ◽  
V. M. Romanchak ◽  
I. E. Pesliak
Keyword(s):  
Industrial Revolution ◽  
High Efficiency ◽  
Quality Characteristic ◽  
Strategy Development ◽  
Practical Implementation ◽  
Stage Of Development ◽  
Production Processes ◽  
Process Output ◽  
Step Algorithm

The industrial revolution of “Industry 4.0” is currently underway at an active pace. Individualization of provided products and services, transition to single production, the issues of acceptability of production processes at the stage of development and design have became urgent. The aim of this work was to develop a strategy for a fundamental solution to the task of guaranteed acceptability of production processes as an integral quality characteristic.We have proposed a systematic approach to strategy development. The basis of the approach was the theory of incorrect tasks solving. We adapted signs of correctness of mathematical tasks by J. Adamar to the tasks of ensuring acceptability of production processes (technological and measurement). They were used in the part of identification of properties of display of incorrectness and ways of incorrectnessʼ management.We have proposed to consider the property of robustness as a generalized index of acceptability for production processes (technological and measurement). We substantiate the equivalence of the concepts of incorrectness of tasks according to J. Adamar and losses of robustness of production processes. We conclude that the developed approaches and techniques of the theory of incorrect tasks can be put in a basis of the system approach to an estimation and management of losses of robustness of production processes. We have  proposed  a  classification  of  situations  of  robustness  losses  in  production  processes in accordance with the classification of the signs of incorrect tasks by J. Adamar.We have developed a two-step algorithm for ensuring the robustness of production processes at the stage of their development. It included identification of the sources of robustness losses and management of input factors that cause significant variation in process output. This has given a practical implementation of a strategy to guarantee the acceptability of production processes. We have systematized the sources of potential losses in  the  robustness  of  production  processes  and  proposed  a  two-stage  mechanism for managing them. We have justified rational methods of ensuring the robustness of production processes for each stage based on, the practice of uncorrected tasks solving. We have proposed a method for ensuring high efficiency  of  robustness  loss  management  in  certain  situations.  The  principles of G. Taguchiʼs robust redesigning of production processes formed the basis of our method.

Forensic diagnostics: Concept, meaning, and scope of implementation

2021 ◽  
Vol 28 (1) ◽  
pp. 187-194
Author(s):  
Volodymyr A. Zhuravel
Keyword(s):  
Semantic Analysis ◽  
Theory And Practice ◽  
Scientific Concept ◽  
Practical Implementation ◽  
Diagnostic Features ◽  
Stage Of Development ◽  
Diagnostic Research ◽  
Further Development ◽  
Crime Event

The current stage of development of forensics is described by an active search for the latest cognitive methods and tools, which fully include forensic diagnostics. The relevance of the subject matter is conditioned by the need to form a modern terminology of the forensic science, further development of the scientific concept of forensic diagnostics, and prospects for creating an appropriate forensic teaching. The purpose of the study is to analyse modern scientific approaches to understanding the concept of forensic diagnostics, its features, structure, integrative functions, and differences from other paired forensic categories. To achieve this goal, such general scientific and special research methods as dialectical, historical, Aristotelian, system-structural, sociological, statistical, the method of legal forecasting and modelling, system and semantic analysis were used. It is proved that the term «forensic diagnostics» should be considered in practical and theoretical terms. In practical terms, forensic diagnostics is a method of recognising the state of objects, cognition of phenomena and processes related to the circumstances of the crime event, determined by the latter. This is a kind of tool at the disposal of an expert, investigator, detective, judge to know the object (event, phenomenon) by its reflection. In the theoretical sense, forensic diagnostics is considered as a separate forensic teaching, which constitutes a system of theoretical provisions on the regularities of recognising objects (situations) by their features and properties, based on the analysis of changes that occurred in them under the influence of the circumstances of the crime event and its participants, in order to carry out evidence in criminal proceedings. It is noted that the theoretical basis of forensic diagnostics comprises information on the patterns of occurrence of diagnosed objects, data on typical models of event reflection (action, behaviour). It is noted that forensic diagnostics as a separate forensic teaching (theory) is at the stage of its development, constantly increasing its scientific potential and expanding the scope of practical implementation. Further development of the theory and practice of diagnostic research involves systematisation and classification of diagnostic features and sets of features of objects, events, phenomena in accordance with the solution of diagnostic problems, classification of typical situations, development of methods and techniques of diagnostic research

scholarly journals Multifunctional Cantilevers as Working Elements in Solid-State Cooling Devices

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 58
Author(s):  
Andraž Bradeško ◽  
Lovro Fulanović ◽  
Marko Vrabelj ◽  
Aleksander Matavž ◽  
Mojca Otoničar ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Ethylene Glycol ◽  
Contact Resistance ◽  
High Efficiency ◽  
Thermal Contact ◽  
Point Of View ◽  
Practical Implementation ◽  
Cooling Devices ◽  
Cascade Structure ◽  
Lead Magnesium

Despite the challenges of practical implementation, electrocaloric (EC) cooling remains a promising technology because of its good scalability and high efficiency. Here, we investigate the feasibility of an EC cooling device that couples the EC and electromechanical (EM) responses of a highly functionally, efficient, lead magnesium niobate ceramic material. We fabricated multifunctional cantilevers from this material and characterized their electrical, EM and EC properties. Two active cantilevers were stacked in a cascade structure, forming a proof-of-concept device, which was then analyzed in detail. The cooling effect was lower than the EC effect of the material itself, mainly due to the poor solid-to-solid heat transfer. However, we show that the use of ethylene glycol in the thermal contact area can significantly reduce the contact resistance, thereby improving the heat transfer. Although this solution is most likely impractical from the design point of view, the results clearly show that in this and similar cooling devices, a non-destructive, surface-modification method, with the same effectiveness as that of ethylene glycol, will have to be developed to reduce the thermal contact resistance. We hope this study will motivate the further development of multifunctional cooling devices.

An Application and Research of Gray-Relation for Color Classification in Dyeing Textile

2013 ◽  
Vol 694-697 ◽  
pp. 2881-2885
Author(s):  
Hai Yan Wang ◽  
Jian Xin Zhang
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
Information Management System ◽  
Space Distribution ◽  
Color Classification ◽  
Uniform Sampling ◽  
Forecast Precision ◽  
Internal Instability ◽  
The Stability

Dyeing textile’s information management system is the basis of accurate classification of color， machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple ， but they are dependent on the distribution of sample spaces. If the sample data properties are not independent， forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed， which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size， while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis， Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation， dyeing textile color classification does not need to be dependent on sample space distribution， and increases the stability of classification.

scholarly journals Functional Near-Infrared Spectroscopy for the Classification of Motor-Related Brain Activity on the Sensor-Level

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2362 ◽  
Author(s):  
Alexander E. Hramov ◽  
Vadim Grubov ◽  
Artem Badarin ◽  
Vladimir A. Maksimenko ◽  
Alexander N. Pisarchik
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
High Efficiency ◽  
Brain Activity ◽  
Blood Oxygenation ◽  
Hemispheric Lateralization ◽  
Motor Execution ◽  
Functional Near Infrared Spectroscopy

Sensor-level human brain activity is studied during real and imaginary motor execution using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation spatial dynamics exhibit pronounced hemispheric lateralization when performing motor tasks with the left and right hands. This fact allowed us to reveal biomarkers of hemodynamical response of the motor cortex on the motor execution, and use them for designing a sensing method for classification of the type of movement. The recognition accuracy of real movements is close to 100%, while the classification accuracy of imaginary movements is lower but quite high (at the level of 90%). The advantage of the proposed method is its ability to classify real and imaginary movements with sufficiently high efficiency without the need for recalculating parameters. The proposed system can serve as a sensor of motor activity to be used for neurorehabilitation after severe brain injuries, including traumas and strokes.

Research on Information Distribution Optimization of Multi-Federation Interconnected Tactical Communication Simulation Training

2011 ◽  
Vol 460-461 ◽  
pp. 381-387
Author(s):  
Jian Shi Zhang ◽  
Zhi Yi Fang
Keyword(s):  
Communication Network ◽  
Large Scale ◽  
Simulation Training ◽  
High Efficiency ◽  
Information Distribution ◽  
Distribution Problem ◽  
Training Process ◽  
State Data ◽  
Interconnected Structure

Multi-federation interconnected structure is the support structure that adapts to large-scale tactical communication network joint training. It needs to organize the distribution and transmission of various kinds of data effectively to assure high efficiency training. Aiming at the information distribution problem of multi-federation interconnected tactical communication network simulation training process, the single federation structure and multi-federation interconnected structure were brought out. Based on the region discerption of training scale and data classification of data, aiming at the characteristics of network traffic, networking parameters and operation state data, the specific solutions were proposed, so that the information distribution in the simulation training was optimized

scholarly journals Application of self organizing map in construction, geology and petroleum industry

2017 ◽  
Vol 20 (K4) ◽  
pp. 30-38
Author(s):  
Tung Son Pham ◽  
Huy Minh Truong ◽  
Tuan Ba Pham
Keyword(s):  
Industrial Revolution ◽  
Human Life ◽  
Petroleum Industry ◽  
Self Organizing Map ◽  
Practical Applications ◽  
Fourth Industrial Revolution ◽  
Som Algorithm ◽  
Clustering Data ◽  
Self Organizing

In recent years, Artificial Intelligence (AI) has become an emerging subject and been recognized as the flagship of the Fourth Industrial Revolution. AI is subtly growing and becoming vital in our daily life. Particularly, Self-Organizing Map (SOM), one of the major branches of AI, is a useful tool for clustering data and has been applied successfully and widespread in various aspects of human life such as psychology, economic, medical and technical fields like mechanical, construction and geology. In this paper, the primary purpose of the authors is to introduce SOM algorithm and its practical applications in geology and construction. The results are classification of rock facies versus depth in geology and clustering two sets of construction prices indices and building material costs indice.

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 DIGITAL MANAGEMENT PLATFORMS IN ECONOMIC ACTIVITY

2020 ◽  
Vol 1 (29) ◽  
pp. 81-96
Author(s):  
Leonid Sergeev ◽  
Keyword(s):  
National Economy ◽  
Economic Activity ◽  
Business Activity ◽  
Digital Platforms ◽  
Organization And Management ◽  
Production Processes ◽  
Digital Management

The mechanism of organization and management of business activity in the conditions of digitalization of the corresponding production processes is generalized. The classification of network platforms is analyzed, the architecture of the system of building digital platforms and the logic of their use in the management of sectors of the national economy is proposed. The types and features of digital platforms, the level of Informatization of Russian enterprises are considered.

scholarly journals Semantic analysis of English proverbs and sayings with lexical components “truth” and “lie”

2020 ◽  
pp. 48-55
Author(s):  
Vladimir Gurin ◽  
Elena Obletsova
Keyword(s):  
English Language ◽  
Semantic Analysis ◽  
Human Existence ◽  
Practical Implementation ◽  
Theory Structure ◽  
Harm To Others ◽  
The Subject ◽  
Theoretical Conceptualization

The subject of this research is the proverbs and sayings with lexical components “truth” and “lie” in the English language. The relevance of their studying is substantiated by the need in theoretical conceptualization and practical implementation of these phraseological units in aspect of the problem of interrelation between cultural and language, which contributes to more profound understanding of national mentality reflected in the English linguistic worldview. The article explores and analyzes the phenomena of proverbs and sayings, determines their common and differentiating traits. Using the method of semantic analysis, the author develops the classification of proverbs and sayings with lexical components “truth” and “lie”, as well as describes theory structure. As a result of the conducted research, the author determined 31 proverbs and sayings. They reveal the multifaceted nature of human existence, elucidate the perception of truth and lie in the English-language world. Truth and lie are associated with the means of achieving something. At the same time, truth does not always has a positive connotation, but serve as a tool for causing harm to others. Lie is the reason of negative, undesired events.

Sign in / Sign up

Export Citation Format

Share Document