scholarly journals Intellectualization of engineering and technical support of railway construction

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Technological Process ◽  
Technical Support ◽  
Automated System ◽  
Railway Track ◽  
New Paradigm ◽  
Technological Processes ◽  
Railway Construction ◽  
Over Time

The article is devoted to the theoretical foundations of improving the engineering support of railway construction. One of the main purposes of the existing engineering support system is to evaluate the results of development and monitor the implementation of technological processes for the construction of railway facilities. In the course of the study, it was determined that a number of stages in the development and implementation of technological processes contain tasks for which the use of automated design and control systems is sufficient. However, there are tasks whose solution depends on the experience and intuitive abilities of the engineer (developer of organizational and technological documentation). To solve such problems, in addition to settlement procedures, logical ones are also necessary. In addition, the intensification of railway construction, many restrictions on the production of works and resources, as well as deviations from planned indicators, require prompt decision-making aimed at compliance with design requirements. Obviously, the total amount of information and data on the design and actual technological processes does not guarantee the efficiency and rationality in decision-making by an engineer. In this case, to solve technological, organizational and managerial tasks, it becomes possible to use some methods and means of artificial intelligence. In this regard, it was proposed to supplement the existing system of engineering and technical support for railway construction with a subsystem of engineering and intellectual support for the technological process of constructing a railway track. For the purpose of intellectualization and the formation of a new paradigm of engineering support for railway construction, an analysis was made of modern and promising practices in the development and implementation of technological processes from the perspective of the life cycle of a railway track object. It was found that modern technological processes for the construction of railway facilities should be flexible to changing working conditions. The study showed that this can be achieved through the formation of adaptive digital technological regulations. The basis of the digital regulation is the information model of the technological process. The model formation procedure is divided into stages containing tasks, the solution of which is possible using artificial intelligence tools such as expert systems, artificial neural networks, and genetic algorithms. A fundamental feature of the engineering and intellectual support of the technological process is the possibility of its operational regulation based on the results of monitoring its development over time. A feature of this approach is the need for the operational processing of a large amount of data that determine the development of technological processes over time, the conditions of work, the production capabilities of construction (contracting) organizations. For this, the mathematical and conceptual models of an intelligent automated system have been developed. Its main purpose is the operational solution of the problems of development and implementation of the technological process of construction of railway facilities. The results obtained during the study, as well as the developed tools, made it possible to determine the possibilities of integrating the developed methodology into the existing system for designing and managing the construction of railway facilities. The results given in the article were obtained during the dissertation research performed by the author.

scholarly journals Theory and practice of constructive solutions technological justification for railway objects via the use of an expert system

2020 ◽  
Vol 7 (3) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Technological Process ◽  
Theory And Practice ◽  
Railway Track ◽  
Production Model ◽  
Automated Systems ◽  
Technological Processes ◽  
Railway Construction ◽  
Design Solutions

In this article, we present the abstract theorem and the feasibility for the implementation of the technological justification of the structural concept for track railway line objects using the expert system. Railway construction as a complex dynamic system requires certain resources for maintaining it. At the same time, it is characterized by the use of new, more advanced design solutions, materials, and technologies, the performers’ specialization development, and the attendant large number of participants in the technological process. Key role in these conditions gets effective standard operating procedures control, procedures that performed during the railway facilities construction. This can be achieved by improving the existing engineering and technical support system for railway construction by introducing an engineering and intellectual support subsystem for the technological processes of railway facilities construction. One of the tasks of technological processes engineering and intellectual support is the effective use of automated systems with artificial intelligence elements. Creation and implementation of automated systems with artificial intelligence elements are focused on achieving a single final result: a finished railway track facility of the corresponding functional purpose within the established deadlines planned prime cost and labor contribution and also up to date safety requirements throughout the entire operation period. Within the scope of the methodology formation for engineering and intellectual support of railway construction technological processes, the stages of constructive solutions technological substantiation for railway objects were considered, and the railway construction technological features were determined. The procedure for the railway track object decomposition into structural elements is described here. The results obtained at the decomposition stage made it possible to determine the possibilities of using expert systems to develop a technological process for the railway track object construction. With account taken of special factors relating to formalization series of tasks at hand. By the aid of the expert system, which was built based on the knowledge representation production model, was developed and described methodology for generating a construction works nomenclature. Based on theoretical research results, practical aspects of the technological substantiation implementation of design solutions using an expert system were presented here through the example of the railway roadbed flooded carn construction. During dissertation research done by the author, were obtained results that were presented in this article.

МODERNIZATION TECHNOLOGY REPAIRING ACENTRIFUGAL WATER PUMP

2018 ◽  
pp. 48-51
Author(s):  
Sh.U. Yuldashev ◽  
D.T. Abdumuminova
Keyword(s):  
Production Process ◽  
Technological Process ◽  
Energy Efficient ◽  
Technical Support ◽  
Ultrasonic Processing ◽  
Water Pump ◽  
The Real ◽  
Technological Processes ◽  
Efficient Management ◽  
Pump Shaft

The article provides an overview of the principle of the pump D630-90, as well as methods for studying the real conditions of technical support to improve maintainability and optimize technological processes and systems. A technological process for the restoration of the shaft of a centrifugal water pump has been developed and an algorithm for managing it has been proposed, on the basis of which the system for energy-efficient management of the recovery area has been implemented. Also in the article some questions of use, metal-filled compound SK812, and also application of ultrasonic processing of a surface of a shaft of the centrifugal water pump of mark D630-90 are mentioned and considered. The developed technological process of pump shaft restoration showed that it is characterized by simplicity, it fits well into the production process of repair and can be widely used in repair shops.

scholarly journals Strategy selection as rational metareasoning

2016 ◽  
Author(s):  
Falk Lieder ◽  
Tom Griffiths
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Cost Benefit ◽  
Human Reasoning ◽  
Strategy Selection ◽  
Heuristics And Biases ◽  
Rational Model ◽  
The Mind ◽  
Over Time ◽  
Human Rationality

Many contemporary accounts of human reasoning assume that the mind is equipped with multiple heuristics that could be deployed to perform a given task. This raises the question how the mind determines when to use which heuristic. To answer this question, we developed a rational model of strategy selection, based on the theory of rational metareasoning developed in the artificial intelligence literature. According to our model people learn to efficiently choose the strategy with the best cost-benefit tradeoff by learning a predictive model of each strategy’s performance. We found that our model can provide a unifying explanation for classic findings from domains ranging from decision-making to problem-solving and arithmetic by capturing the variability of people’s strategy choices, their dependence on task and context, and their development over time. Systematic model comparisons supported our theory, and four new experiments confirmed its distinctive predictions. Our findings suggest that people gradually learn to make increasingly more rational use of fallible heuristics. This perspective reconciles the two poles of the debate about human rationality by integrating heuristics and biases with learning and rationality.

scholarly journals Railroad track technological construction process modeling and optimization using a genetic algorithm

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Genetic Algorithm ◽  
Technological Process ◽  
Construction Process ◽  
Automated Systems ◽  
Construction Work ◽  
Railroad Track ◽  
Evolutionary Modeling ◽  
Modeling And Optimization ◽  
Technological Processes ◽  
Railway Construction

The article discusses theoretical and practical research in the field of evolutionary modeling application for solving construction works planning problems in the formation of railroad track technological construction process. The study is a part of the developed engineering and technical support subsystem for railway construction: engineering and intellectual support of railroad track technological construction process. This subsystem is based on the effective use of automated systems with artificial intelligence elements. Development and implementation of these automated systems are focused on achieving a single end result, such as a finished railroad track facility with suitable functionality within the established deadlines, planned working cost and labor costs, as well as meeting modern safety requirements throughout the entire operation period. Taking into account railway construction dynamic, the use of new materials and technologies, new trends were identified within the study scope in the field of technological processes operational development, and optimal work sequence determination in the railway facilities construction. In particular, the occurrence of deviations from the planned requirements in the construction work course requires a quick reconsideration of the decisions already made, due to the railway construction stochastic behavior. This is a forced measure to ensure the fulfillment of the planned targets. The existing methods allow to correct the construction work organization, however, the technology, and in particular, the technological process remains unchanged. The static nature of the technological process is largely dictated by the project documentation requirements and work safety. But modern advances in the information and intelligent technologies field, with the account of technological process structure variability, can give a technological process dynamic properties. The technological process's ability to adapt to changing work production conditions will provide flexibility in the railway facilities construction. To solve this problem, an automated evolutionary modeling mode and optimization of the railway facility construction technological process were used. The peculiarities of existing optimization methods, in terms of the dimension of the active task and taking into account several criteria, force us to turn to intelligent methods. The article describes a technological processes optimization method for the railway facilities construction using a genetic directed search algorithm in the space of solutions. In this case, several design constraints are taken into account: resource, technological, organizational, informational. For this, a computational and logical model was developed, which made it possible to assess the target function (fitness function), with the account of the dynamic distribution nature of the contractor's available resources for construction work. Based on the theoretical research results, the article presents the practical aspects of evolutionary modeling and optimization of the railway facilities construction technological process using a genetic algorithm on the example of the flooded railway roadbed embankment construction. The results presented in this article were obtained during the dissertation research made by the author.

scholarly journals Outlier Detection in High Dimensional Data

2021 ◽  
Vol 10 (5) ◽  
pp. 128-130
Author(s):  
Anusha L. ◽  
Nagaraja G S
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Decision Making ◽  
Outlier Detection ◽  
Text Processing ◽  
High Dimensional Data ◽  
High Dimensional ◽  
Human Intelligence ◽  
Over Time

Artificial intelligence (AI) is the science that allows computers to replicate human intelligence in areas such as decision-making, text processing, visual perception. Artificial Intelligence is the broader field that contains several subfields such as machine learning, robotics, and computer vision. Machine Learning is a branch of Artificial Intelligence that allows a machine to learn and improve at a task over time. Deep Learning is a subset of machine learning that makes use of deep artificial neural networks for training. The paper proposed on outlier detection for multivariate high dimensional data for Autoencoder unsupervised model.

Judge v Robot? Artificial Intelligence and Judicial Decision-Making

2018 ◽  
Vol 41 (4) ◽  
Author(s):  
Tania Sourdin
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Technological Change ◽  
Human Activity ◽  
Human Activities ◽  
Judicial Decision ◽  
Judicial Decision Making ◽  
And Function ◽  
Over Time ◽  
The Way

As technology continues to change the way in which we work and function, there are predictions that many aspects of human activity will be replaced or supported by newer technologies. Whilst many human activities have changed over time as a result of human advances, more recent shifts in the context of technological change are likely to have a broader impact on some human functions that have previously been largely undisturbed. In this regard, technology is already changing the practice of law and may for example, reshape the process of judging by either replacing, supporting or supplementing the judicial role. Such changes may limit the extent to which humans are engaged in judging with an increasing emphasis on artificial intelligence to deal with smaller civil disputes and the more routine use of related technologies in more complex disputes.

scholarly journals Artificial intelligence and dichotomy on benefits and challenges: what do healthcare providers say?

2019 ◽  
Vol 7 (9) ◽  
pp. 3251
Author(s):  
Bharat Singh ◽  
Surekha Kashyap ◽  
Ankita Grover
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Data Privacy ◽  
Healthcare Providers ◽  
Technical Support ◽  
Staff Satisfaction ◽  
Job Experience ◽  
Medical College ◽  
Initial Resistance ◽  
Job Profile

Background: In a developing country like India, with a vibrant information technology (IT) sector, employing Artificial Intelligence (AI) should be carefully weighed before its introduction in healthcare with relation to perception of healthcare providers (HCP's/Doctors).  Methods: This qualitative study was conducted in medical college and affiliated hospital in India. Initially a pilot study was conducted for reliability and internal consistency of questionnaire. Thereafter, pre-tested questionnaire was distributed to 153 healthcare providers and their responses were analyzed on SPSS version 20.0 (IBM) to identify the demographic and job-related differences in their perception regarding the benefits and challenges of using AI in healthcare.Results: Most of respondent were agreed upon the benefits of using AI in healthcare and most cited benefits were speedy decision making, better resource utilization and improvement in staff satisfaction. Similarly most cited challenges were lack of training on AI enabled machines, lack of skilled technical support, high cost of AI and data privacy issue. Further, Age and Job experience were significantly associated with benefits like timely and speedy decision making, improvement in the patient and staff satisfaction respectively. Furthermore, Age, Department, Job experience, Job profile were significantly associated with challenges like high cost of AI, lack of skilled technical support, lack of training in AI enabled machines and lack of trust in AI among patients.Conclusions: Significant challenges of using AI in healthcare with demographic and job related variable based on the results of this research paper need to be resolved first in order to overcome the initial resistance in employing AI in healthcare. 

scholarly journals Resource planning of the railway facilities construction technological process with the use of an artificial neural network

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Aleksey Polyanskiy
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Artificial Neural Network ◽  
Technological Process ◽  
Resource Planning ◽  
Theoretical Research ◽  
Software Module ◽  
Railway Construction ◽  
Technical Maintenance ◽  
Artificial Neural

The article is dedicated to theoretical and practical research in the resource planning field for the railway facilities’ construction technological process using artificial neural networks. The study is a part of the subsystem in the development of railway construction engineering and technical maintenance — engineering and technical maintenance of railway facilities construction technological process. The subsystem is based on the effective automated systems use with elements of artificial intelligence. This is caused by deviations occurrence from the target requirements during the technological process implementation, due to the railway construction stochasticity, and the need for a prompt revision of the already made decisions. The existing methods allow us to correct the construction work organization, however, the technology remains unchanged, which is dictated by the design documentation and the work safety requirements. To give technological process flexibility in order to adapt to work changing conditions, it is necessary to provide an operational solution to the resource planning problem. The existing resource planning methods peculiarities, the current problem dimension, and the need to take into account a number of restrictions allow us to use artificial intelligence tools. In this regard, a methodology and a railway facilities construction technological process resource planning (labor, technical) computational-logical model with the artificial neural network use were developed. This approach is based on the lack of precise algorithmic actions or rules that can provide the desired result without formal complications. Also, the author has developed a special software module, prepared a data sample, an artificial neural network topological structure, and implemented an algorithm for its training, configuration, and testing. Based on the theoretical research and software module application results, the article presents the practical aspects of resource planning for the railway roadbed flooded embankment erection technological process.

Future Education within Disruptive Technologies Developments

2020 ◽  
Vol 26 (2) ◽  
pp. 288-293
Author(s):  
Codrin-Leonard Herţanu
Keyword(s):  
Artificial Intelligence ◽  
New Paradigm ◽  
Contemporary World ◽  
Disruptive Technologies ◽  
Educational Domain ◽  
Blockchain Technology ◽  
How People Learn ◽  
Future Education ◽  
Present World ◽  
Technology Domain

AbstractOur contemporary world is on the verge of crucial changes of an unparalleled pace. The ‘technological changeover’ is the new paradigm caused by the unprecedented evolution of the disruptive technologies. The present world has the tendency to evolve at least exponential, therefore future educational environment is fairly different than its present layout. An entire array of nowadays studies widely recognizes that the progress of the disruptive technologies will pose a meaningful impact over the educational system evolution. Among the most spectacular technologies with disruptive features we should encounter Artificial Intelligence, Blockchain Technology, Cloud Computing, and the like. In an era of technological disruption the education is seen as the new currency. With the help of Artificial Intelligence, for instance, the education system could track how people learn from kindergarten to retirement. Besides, the technology domain will move the centre of gravity from the institutional area to that of the education’s beneficiaries, as we might expect that they will recruit and employ the needed teacher staff, not the institutions. Moreover, the education’s recipients will be the main creators of tomorrow’s professions and within their community the overarching events will happen and the main decisions will be taken in the educational domain.

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