scholarly journals Software for Diagnosing and Predicting the Technical Condition of Agricultural Machines

2021 ◽  
pp. 37-41
Author(s):  
E.V. Pestryakov ◽  
Keyword(s):  
Artificial Intelligence ◽  
Computer Systems ◽  
Technical Condition ◽  
Maximum Productivity ◽  
Agricultural Machines

The technical platforms for solving the problems of using artificial intelligence in the field of agriculture are described. Creation of new computing devices that allow storing and processing large amounts of information and software makes it possible to form integrated computer systems to increase maximum productivity.

On the issue of analyzing the technical condition of agricultural machinery using neural networks

2021 ◽  
pp. 42-48
Author(s):  
E. V. Pestryakov ◽  
M. N. Kostomakhin ◽  
N. A. Petrishchev ◽  
A. S. Sayapin ◽  
K. K. Molybozhenko
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Computer Systems ◽  
Technical Condition ◽  
Third Party ◽  
Agricultural Machinery ◽  
Current Trends ◽  
The World ◽  
Complex Computer

This article is devoted to the increasing role of artificial intelligence in agriculture, namely in the diagnosis of the state of agricultural machinery. The development of new software using artificial intelligence in its work is carried out all over the world. Also, in parallel with the programs, new computing devices are being developed that allow storing and processing large amounts of information. All this allows you to create complex computer systems that involve many third-party devices. In addition, agriculture should develop, focusing on current trends.

Strategies of maintenance and repair of agricultural machinery

2020 ◽  
pp. 38-48
Author(s):  
Aleksey S. Dorokhov ◽  
Aleksandr V. Denisov ◽  
Aleksey A. Solomashkin ◽  
Valeriy S. Gerasimov
Keyword(s):  
Wear Rate ◽  
Technical Condition ◽  
Research Purpose ◽  
Agricultural Machinery ◽  
Maintenance And Repair ◽  
Wear Rates ◽  
Urgent Task ◽  
Machine Parts ◽  
Current Value ◽  
Agricultural Machines

Modern machines are subject to progressive wear that occurs at different rates, which leads to unpredictable failures that reduce the reliability and durability of machines. The strategy of maintenance and repair is aimed at eliminating these problems. (Research purpose) The research purpose is in analyzing the basic principles of the strategy of maintenance and repair of agricultural machinery in order to ensure control of the technical condition of machine parts. (Materials and methods) When resource diagnostics is used, , the allowable value of the parameter is set in advance for a part . This value is the tolerance that corresponds to a certain wear rate of the part. The tolerance is set based on the condition that if the current value of the controlled resource parameter during the next diagnosis is less than the set value, then such a part at the current value of the wear rate can be finalized until the next inter-control check. Taking into account the wear rate of the same type of parts from the group when determining the allowable wear during their resource diagnostics becomes an urgent task. (Results and discussions) As a result of research, the article presents "Methodology for determining the main indicators of reliability of parts of agricultural machines with different wear rates" and "Methodology for determining the tolerance system of parts of agricultural machines with different wear rates". (Conclusions) The article presents the tolerance system that reduces the probability of failure of machine parts in operation. During resource diagnostics, those parts whose resource parameters exceed the tolerance are rejected.

Assessment of driving quality and its impact on changes in the technical condition of self-driving cars

2020 ◽  
pp. 24-26
Keyword(s):  
Artificial Intelligence ◽  
Life Cycle ◽  
Computer Technology ◽  
Technical Condition ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Machine Maintenance ◽  
Current Task ◽  
Self Driving Cars

The article describes the current task of developing and improving existing technologies for machine maintenance throughout the entire life cycle. The use of modern achievements in the field of computer technology, digitization of information, as well as the development of artificial intelligence technologies, will allow you to get new scientific and engineering results aimed at managing the technical condition of machines in operation.

Logic Programming in the Fifth Generation

1984 ◽  
Vol 1 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Robert Kowalski
Keyword(s):  
Artificial Intelligence ◽  
Logic Programming ◽  
Programming Language ◽  
Computer Systems ◽  
Database Systems ◽  
Computer Architectures ◽  
Multiprocessor Computer ◽  
Software Specification ◽  
Fifth Generation ◽  
Generation Computer

The Japanese Fifth Generation Computer Systems (FGCS) project has chosen logic programming for its core programming language. It has recognized the major contribution that logic programming has to make not only in artificial intelligence but in database systems and software specification as well. It has recognized and intends to exploit the greater potential that logic programming has to offer for taking advantage of the parallelism possible with innovative multiprocessor computer architectures.

scholarly journals Intelligent Malware - Trends and Possibilities

MENDEL ◽  
2021 ◽  
Vol 27 (1) ◽  
pp. 18-22
Author(s):  
Jan Plucar ◽  
Jiří Frank ◽  
Daniel Walter ◽  
Ivan Zelinka
Keyword(s):  
Artificial Intelligence ◽  
Research Group ◽  
Computer Systems ◽  
Experimental Software ◽  
Artificial Intelligence Methods

In recent months and years, with more and more computers and computer systems becoming the target of cyberattacks. These attacks are gaining strength and the sophistication of the approach in terms of how to attack. Attackers and Defenders are increasingly using artificial intelligence methods to maximize the success of their actions. For a successful defence, we must be able to anticipate future threats that may come. For these reasons, our research group is engaged in creating experimental software with artificial intelligence to test the possibilities and capabilities of such malware in the event of its deployment. This software has not only malware capabilities but also antimalware and can be used on both sides. This article introduces the reader to the main principles of our design, which can serve as a future platform for cyber defence systems.

Expert Systems in Distance Education

2018 ◽  
pp. 1410-1423
Author(s):  
Duygu Mutlu-Bayraktar ◽  
Esad Esgin
Keyword(s):  
Artificial Intelligence ◽  
Distance Education ◽  
Natural Language ◽  
Expert Systems ◽  
Expert Knowledge ◽  
Computer Systems ◽  
Educational Environments ◽  
Artificial Environment ◽  
Present Solution ◽  
Definition Of

Computers have been used in educational environments to carry out applications that need expertise, such as compiling, storing, presentation, and evaluation of information. In some teaching environments that need expert knowledge, capturing and imitating the knowledge of the expert in an artificial environment and utilizing computer systems that have the ability to communicate with people using natural language might reduce the need for the expert and provide fast results. Expert systems are a study area of artificial intelligence and can be defined as computer systems that can approach a problem for which an answer is being sought like an expert and present solution recommendations. In this chapter, the definition of expert systems and their characteristics, information about the expert systems in teaching environments, and especially their utilization in distance education are given.

Problems of Using Artifi cial Intelligence in Accounting

Auditor ◽  
2021 ◽  
pp. 52-57
Author(s):  
N. Mislavskaya
Keyword(s):  
Artificial Intelligence ◽  
Computer Systems ◽  
Digital Technologies ◽  
Financial Statements ◽  
Point Of View ◽  
Accounting System ◽  
National Accounting ◽  
Modern Computer ◽  
Expert Assessments ◽  
Economic Reality

The article is devoted to the problems that await the national accounting system in the future in connection with the development of digital technologies and the corresponding use of artificial intelligence. The complexity of accounting tasks to reflect economic reality in the context of increasing the significance of probabilistic expert assessments is analyzed from the point of view of the utilitarian capabilities of modern computer systems. As a result, the author comes to the conclusion that it is impossible and unacceptable to eliminate accounting employees from their professional duties. Otherwise, the magnitude of the accumulated errors will affect the financial statements and the declared data will become risky and unsuitable for making management decisions.

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