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共 119 条记录，以下是31-40 订阅

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Application of Image Weight Models to Increase Canny Contour Detector Resilience to Interference

Application of Image Weight Models to Increase Canny Contour...

引用

International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Stella Lyasheva Rimma Safina Mikhail Shleymovich Department for Automated Systems for Information Processing and Control Kazan National Research Technical University Named After A.N. Tupolev-KAI Kazan Russian Federation

Article discusses the issues of creating models and methods for detecting contours in images in control systems and automation of technological processes and objects based on computer vision technologies. An approach based on the construction and analysis of image weight models is proposed. This approach involves performing a discrete wavelet transform of the image and calculating weight values based on the detailing coefficients to assess the significance of changes in the pixels of copies of various levels of decomposition. The set of weight values is a weight model. Since significant changes are characteristic of contour points, the analysis of weight models makes it possible to detect them in images. It is also shown that the application of the Canny detector to the image weight model reduces the sensitivity to noise and the complexity of selecting the lower and upper thresholds.

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Modeling the Electromagnetic Compatibility of Electronic Means under the Influence of Interference Through the Power Supply Network

Modeling the Electromagnetic Compatibility of Electronic Mea...

引用

2022 International Conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2022

作者： Gizatullin, Zinnur Nuriev, Marat Kazan National Research Technical University Named after A.N. Tupolev-KAI Department of Computer Aided Design Systems Kazan Russia Kazan National Research Technical University Named after A.N. Tupolev-KAI Department for Automated Systems for Information Processing and Control Kazan Russia

ISBN: (纸本)9781665483698

A frequent cause of violation of the noise immunity of modern electronic means are microsecond, nanosecond impulse interferences on the power supply network or dynamic voltage changes. These tasks are especially relevant for the elements of control systems of energy facilities. The paper considers the types of interference in the power supply network of electronic means. An analysis of the propagation of impulse noise has been carried out. Models have been developed and an analysis of the functioning of digital elements under the influence of interference through the power supply port has been carried out. The typical areas of functioning of electronic means are singled out depending on the amplitude and duration of interference in the power supply network. Methods for increasing the noise immunity of electronic means under the influence of interference through the power supply are considered. © 2022 IEEE.

关键词： Electromagnetic compatibility

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The Sound Pressure Level Meter

The Sound Pressure Level Meter

引用

2022 International Russian Automation Conference, RusAutoCon 2022

作者： Khusnutdinov, A.N. Nuriev, M.G. Kazan National Research Technical University Named after A. N. Tupolev - Kai Department of Computer Systems Kazan Russia Kazan National Research Technical University Named after A. N. Tupolev - Kai Department of Automated Information Processing and Control Systems Kazan Russia

ISBN: (数字)9781665466554

ISBN: (纸本)9781665466554

Changes in the human hearing organ cause a specific reaction of the body as a result of intense exposure to sound interference and noise. The increase in the threshold of auditory sensitivity is due to a process of adaptation of the auditory system, which in turn occurs due to prolonged exposure to noise. At first the changes in the auditory system slowly return to their initial level, this is called auditory fatigue;with longer exposure to noise, a permanent shift in the Auditory Sensitivity Threshold occurs, resulting in a rapid deterioration of hearing. In the article, the sound pressure level meter was developed to measure the psofometric noise level, which characterizes the standardized perception of human noise in the audio range from 20 Hz to 20 kHz. The device developed in this work satisfied the requirements of GOST R ISO 9612 - 2016. As a result of the work, recommendations for the use of this device were formed. © 2022 IEEE.

关键词： Audition

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Knowledge Management Subsystem of the Intellectual Situational Center

Knowledge Management Subsystem of the Intellectual Situation...

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2022 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2022

作者： Simankov, Vladimir S. Buchatskiy, Pavel Yu. Teploukhov, Semen V. Buchatskaya, Victoria V. Kuban State Technological University Department of Computer Technologies and Information Security Krasnodar Russia Adyghe State University Department of Automated Systems of Processing Information and Control Maykop Russia Adyghe State University Department of Applied Mathematics Information Technology and Information Security Maykop Russia

ISBN: (数字)9781665488709

ISBN: (纸本)9781665488709

Within the framework of the situational center, a knowledge management subsystem is identified and considered, which solves the following tasks: identification and accounting for the uncertainty of the initial information, automated selection of mathematical methods for describing systems, assessment and modeling of the situation, taking into account information about the structure of the control object and its functioning at a particular point in time, provides interaction with experts and extracts knowledge from the Internet. The solution of these problems is achieved using separate interconnected modules, which makes it possible to use the situational center in various subject areas, manage complex hierarchical systems, and also make an automated choice of mathematical methods for processing information. © 2022 IEEE.

关键词： Knowledge management

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Scientific Research Transformation Needed for Comprehensive Artificial Intelligence Implementation

Scientific Research Transformation Needed for Comprehensive ...

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International Conference on Management of Large-Scale System Development (MLSD)

作者： Viktor Medennikov Larisa Bogatyreva Information and Computing Systems Department Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russia Laboratory of modular data processing and control systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

ISBN: (数字)9798350375718

ISBN: (纸本)9798350375725

The paper deals with complementary changes in scientific research and real economy (exemplified by the farming industry) taking place when using the holistic approach to the industry”s digital transformation resulting in the appearance of precise agrarian technologies that require a comprehensive., system-based combination of research and production resources that are able to ensure increased productivity in the industry. We demonstrate that among these new technologies, the artificial intelligence methods have a special significance. They have to, however, go through integration transformations to become standards for the proposed common digital farming management platform.

关键词： Productivity Digital transformation Large-scale systems Artificial intelligence Standards Farming

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An Approach to the Definition of System Intelligence in the Management of Complex systems

An Approach to the Definition of System Intelligence in the ...

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International Conference on Soft Computing and Measurements (SCM)

作者： Vladimir S. Simankov Stefan V. Onishchenko Pavel Yu. Buchatskiy Semen V. Teploukhov Department of Computer Technologies and Information Security Kuban State Technological University Krasnodar Russia Department of Automated Systems of Processing Information and Control Adyghe State University Maykop Russian Federation

Currently, the concept of artificial intelligence has become extremely widespread, but there is a difficulty in accurately defining this concept. In general, artificial intelligence is divided into two main categories: “weak AI” and “strong AI”.In parallel with these definitions, the concept of hybrid intelligent systems arises, which can be defined from two main positions: as systems based on a combination of two or more artificial intelligence methods, and as systems based on the synthesis of artificial intelligence methods and natural human *** this regard, this paper proposes to analyze approaches to the organization of artificial intelligence and formulate a definition of system intelligence, which allows combining various structures of the organization of computer systems using various intelligent agents.

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An Approach to Identifying the Type of Uncertainty of Initial Information Based on the Theory of Fuzzy Logic 24

An Approach to Identifying the Type of Uncertainty of Initia...

引用

24th International Conference on Soft Computing and Measurements, SCM 2021

作者： Simankov, Vladimir S. Buchatskiy, Pavel Yu. Shopin, Andrey V. Teploukhov, Semen V. Buchatskaya, Victoria V. Kuban State Technological University Department of Computer Technologies and Information Security Krasnodar Russia Adyghe State University Department of Automated Systems of Processing Information and Control Maykop Russia

ISBN: (纸本)9781665439749

The article discusses an approach to identifying the uncertainty of initial information based on the theory of fuzzy logic. A system of criteria for initial information is proposed, calculated on the basis of the input sample, and characterizing the measure of uncertainty present in the system. The basic requirements for the choice of membership functions of the fuzzy inference system are indicated and the final integrated output membership function is obtained, which describes the type of uncertainty of the initial information. © 2021 IEEE.

关键词： Membership functions

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Information System for Classifying the State of Arteriovenous Fistula Based on the Dynamics of Changes in Its Noise

Information System for Classifying the State of Arteriovenou...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： D. A. Fedorov N. I. Yumagulov S. A. Sazonov The Faculty of Applied Informatics ITMO University Saint Petersburg Russia Dep. for Education in Physics and Mathematics Nizhnevartovsk state university Nizhnevartovsk Russia Department of Automated Information Processing and Control Systems Surgut State University Surgut Russia

ISBN: (数字)9798331512194

ISBN: (纸本)9798331512200

The study presents the results of research on an information system for classifying the condition of an arteriovenous fistula. The analysis of sound recordings of arteriovenous fistula murmurs has shown that they can be used for condition classification. A machine learning model for assessing the state of the arteriovenous fistula was developed and trained. The analysis of the spectral features of the audio signal allowed for the identification of a significant set of features for training the machine learning model. The study presents the results of feature importance evaluation using the built-in feature selection method of RandomForest, as well as filtering methods such as the F-test and chi-square test. The investigation into features affecting the model's training accuracy helped identify the most significant features and those that degrade accuracy. The machine learning model achieved an accuracy of 91 % in classifying the condition of the arteriovenous fistula.

关键词： Training Analytical models Accuracy Filtering Noise Machine learning Feature extraction Noise measurement Random forests Information systems

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Comparative Analysis of Renewable Energy Production Forecasting Algorithms Using Python

Comparative Analysis of Renewable Energy Production Forecast...

引用

Information Computing and processing (ICP), Seminar on

作者： Pavel Yu. Buchatskiy Semen V. Teploukhov Dmitry N. Lisov Marina A. Rudenko Anatoliy N. Kazak Anna A. Dorofeeva Department of Automated Information Processing and Control Systems Adyghe State University Maykop Russia Department of Management and Touristic Business of V.I. Vernadsky Crimean Federal University Simferopol Russia

In this paper, forecasting algorithms were tested on renewable energy production data and their comparative analysis was carried outThe machine learning methods that were used in the work are DecisionTree, AdaBoost, RandomForest and LSTM *** the analysis of the results of the study, it can be seen that the accuracy of the forecast of the LSTM neural network is higher than all other methods considered, but at the cost of this was the speed of creating a forecast *** the considered methods, according to the combination of time and quality criteria, LSTM neural networks turned out to be the best for data analysis, showing the best accuracy. But for SMALL HYDRO and SOLAR data, RandomForest is the preferred method. It made it possible to build sufficiently accurate models in much less time than neural networks.

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Automatic Car License Plate Detection Based on the Image Weight Model

Automatic Car License Plate Detection Based on the Image Wei...

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2022 Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2022

作者： Gizatullin, Zinnur M. Lyasheva, Maya M. Shleymovich, Mikhail P. Lyasheva, Stella A. Kazan National Research Technical University Named after A.N. Tupolev-KAI Department for Automated Systems for Information Processing and Control Kazan Russia Kazan National Research Technical University Named after A.N. Tupolev-KAI Department for Applied Mathematics and Informatics Kazan Russia

ISBN: (纸本)9781665409933

Methods of detecting car license plates in images are considered. A method for detecting a car license plate based on a weight model that reflects the importance of pixels for determining image features is described. A scheme for constructing a model using a multiple-scale wavelet transform is presented. It is shown that the model can be represented as a grayscale image - a weight image. A method is proposed for selecting contours on a weighted image using the operation of calculating the morphological gradient and analyzing them for compliance with the parameters of the quadrangular area of the car license plate using the contour length, the area of the inner area and the difference between the area of the inner area and the area of the smallest bounding quadrilateral. It is shown that the described method provides fast and accurate detection of the car number in the image. © 2022 IEEE.

关键词： Computer vision

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