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Search for new technical solutions when designing color measuring systems

Search for new technical solutions when designing color meas...

引用

2019 International Conference on Information Science and Communications Technologies, ICISCT 2019

作者： Marysheva, L.T. Isxakova, N.P. Latipova, N.X. Khaitov, Azizbek Tashkent University of Information Technologies Department of System and Applied Programming Tashkent100 200 Uzbekistan

ISBN: (纸本)9781728125640

To search for new technical solutions when designing color measuring systems, we need a design object, i.e. to divide color measuring device into fragments, and solutions are sought for these fragments separately. At the first level of the partition, the color measuring device is divided into four main structural parts: the lighting, dispersing, electronic recording and computing devices. © 2019 IEEE.

关键词： Lighting

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Rapidly prototyping implementation infrastructure of Domain Specific Languages: A semantics-based approach

Rapidly prototyping implementation infrastructure of Domain ...

引用

20th Annual ACM Symposium on applied Computing

作者： Wang, Qian Gupta, Gopal Applied Logic Programming-Languages and System Lab Department of Computer Science University of Texas Dallas

Domain Specific Languages (DSLs) are high level languages designed for solving problems in a particular domain, and have been suggested as means for developing reliable software systems. However, designing of a domain specific language is a difficult task. The design of a domain specific language will evolve as it is used more and more and experienced is gained by its designers. Being able to rapidly develop the implementation infrastructure (interpreter, compiler, debugger, profiler, etc.) of a domain specific language is thus of utmost importance so that as the language evolves, the implementation infrastructure can keep pace. In this paper we present a framework for automatically generating interpreters, compilers, debuggers, and profilers from semantic specification of a domain specific language. We illustrate our approach via the SCR language, a language used by the US defense department for developing control systems. Copyright 2005 ACM.

关键词： Software prototyping

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Machine learning methods as a tool for diagnostic and prognostic research in cardiovascular disease

Machine learning methods as a tool for diagnostic and progno...

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2021 International Conference on Information Science and Communications Technologies, ICISCT 2021

作者： Khidirova, Charos Sadikova, Shakhnoza Mukhsinov, Shamil Nashvandova, Gulrukhsor Mirzaeva, Sarvinoz Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of System and Applied Programming Tashkent Uzbekistan Tashkent State Technical University Department of Information Processing and Control Systems Tashkent Uzbekistan

ISBN: (纸本)9781665432580

Machine learning (ML) methods are the main tool of artificial intelligence, the use of which makes it possible to automate the processing and analysis of big data, to reveal hidden or non-obvious patterns on this basis, and to extract new knowledge. The review presents an analysis of scientific literature on the use of ML methods for diagnosing and predicting the clinical course of coronary heart disease. Provides information on reference databases, the use of which allows you to develop models and validate them (European ST-T Database, Cleveland Heart Disease database, Multi-Ethnic Study of Atherosclerosis, etc.). The advantages and disadvantages of individual ML methods (logistic regression, support vector machines, decision trees, naive Bayesian classifier, k-nearest neighbors) for the development of diagnostic and predictive algorithms are shown. The most promising ML methods include deep learning, which is implemented using multilayer artificial neural networks. It is assumed that the improvement of models based on ML methods and their introduction into clinical practice will help support medical decision-making, improve the effectiveness of treatment and optimize health care costs. © 2021 IEEE.

关键词： Support vector machines

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Adaptive Model for Protection of Electronic Resources against Information Security Threats 15

Adaptive Model for Protection of Electronic Resources agains...

引用

15th International Scientific and Practical Conference on Environment. Technology. Resources, ETR 2024

作者： Kerimov, Komil Azizova, Zarina Department of System and Applied Programming Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Information Security Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781713899570

The rapid development of digitalization and the creation of electronic resources, in areas such as e-commerce, government portals and others leads to the actualization of data protection issues. The protection of electronic resources is becoming more and more relevant every day. This article presents the concept of adaptive protection of electronic resources from information security threats. In the course of this research, an adaptive model of protection of electronic resources from threats to information security based on behavioral analysis was developed. © 2024 Komil Kerimov, Zarina Azizova.

关键词： Security of data

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Methodology of Information Security Risk Assessment of Electronic Resources under Unauthorized Access Threats 15

Methodology of Information Security Risk Assessment of Elect...

引用

15th International Scientific and Practical Conference on Environment. Technology. Resources, ETR 2024

作者： Kerimov, Komil Azizova, Zarina Department of System and Applied Programming Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Information Security Tashkent University of Information Technologies Named after Muhammad al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781713899570

The article proposes a methodology for assessing the risk of information security of a computer network based on the results of the analysis of vulnerability attributes and protection attributes of information system elements, as well as security attributes of information system elements. According to the results of the research the space of information protection signs is formed. The results of the analysis of possible variants of threats of unauthorized access to electronic resources of the computer network, as well as solutions to reduce the risks of information security are given. Quantitative indicators of the results of the application of the proposed methodology to assess the risk of threats of unauthorized access to electronic resources of the computer network confirm the effectiveness of the proposed methodology, which can be used to improve the level of protection of electronic resources in organizations. © 2024 Komil Kerimov, Zarina Azizova.

关键词： Computer networks

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AI methods of control for distributed space systems: a review 8

AI methods of control for distributed space systems: a revie...

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8th Scientific School "Dynamics of Complex Networks and their Applications", DCNA 2024

作者： Granichin, Oleg Tikhonov, Alexey Ivanskiy, Yury Kopylova, Kseniia Department of System Programming Saint Petersburg State University Saint Petersburg Russia Department of Theory and Applied Mechanics Saint Petersburg State University Saint Petersburg Russia Faculty of Ecomonic Cybernetics Saint Petersburg State University Saint Petersburg Russia

ISBN: (纸本)9798350390834

The paper is a short review of the problems arising in control of distributed systems of spacecraft due to different kinds of uncertainties and of various AI-based approaches to deal with them. The considered uncertainties are caused by external and internal disturbances of different nature. The methods to deal with the uncertainties include neural networks, fuzzy logic, evolutionary algorithms, randomized algorithms and reinforcement learning. © 2024 IEEE.

关键词： Fuzzy neural networks

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Vision-Based Metal Oxide Semiconductor Transistor-Level Layout Error Classification Using EfficientNet Model

Vision-Based Metal Oxide Semiconductor Transistor-Level Layo...

引用

2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020

作者： Ilagan, Lorena Concepcion Ii, Ronnie Cabatuan, Melvin Roque, Christian University of Perpetual Help System DALTA Electronics Engineering Department Las Pinãs City Philippines De la Salle University Electronics and Communications Engineering Department Manila Philippines Center for Applied Microelectronics and Programming Inc. Muntinlupa City Philippines

ISBN: (纸本)9781728172019

In response to the emerging challenges of providing intelligent dynamic integrated circuit (IC) layout checking, computer vision in IC design and constraint engineering highlights the opportunities of computational intelligence solutions. In this study, vision-based system architecture is integrated with deep transfer learning models to classify metal oxide semiconductor (MOS) transistor cell-level layout error using one-vs-rest (OvR) multilabel classification. Two layout errors, namely missing contact layer and excess structure around the gate, are generated using the developed tool command language (TCL) script that is executed on Synopsys platform. Missing contact layer error is furtherly subcategorized to metal 1 in place and not fully placed, off positioned contact and its combination. Excess structure around the transistor gate is characterized by excess p-type implant (PIMP) and n-type implant (NIMP) with misaligned diffusion (DIFF) and polysilicon (PO) layers. Feature extraction for MOS-level error classification explored on using MobileNetV2 and EfficientNet variants. It was found that EfficientNetB7 best MobileNetV2 and other variants of EfficientNet in predicting IC layout errors based on nine error subcategories. Hamming loss was found to decrease and inference time to increase as the input image size is increased. The deep transfer network EfficientNetB7 has accuracy of 96.889 %, precision of 88.778 %, recall of 97.444 % and F1score of 91.667 in predicting transistor-level layout errors. Overall, the developed approach in predicting MOS transistor cell-level layout error using integrated computer vision and deep learning proved to be accurate and easy to be replicated for further enhancement to provide advanced layout evaluation. © 2020 IEEE.

关键词： Metals

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Applications of Fuzzy Logic in Recruitment systems

Applications of Fuzzy Logic in Recruitment Systems

引用

2022 International Conference on Information Science and Communications Technologies, ICISCT 2022

作者： Medetova, Kunduz Sultanov, Djamshid Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of System and Applied Programming Tashkent Uzbekistan Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi Department of Hardware and Software of Management Systems in Telcommunications Tashkent Uzbekistan

ISBN: (纸本)9781665472296

This paper presents methods for solving problems using the method of fuzzy logic. This method serves to study the characteristics of determining the level of compliance of a candidate for an existing vacant position. When measuring compliance with database requirements based on the results of assessing compliance with the requirements of an employee for a position. The use of artificial intelligence in personnel records gives high efficiency and serves for decision making. © 2022 IEEE.

关键词： Fuzzy logic

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Calculating methodology for information characteristics on chemical preprojection

Calculating methodology for information characteristics on c...

引用

2019 International Conference on Information Science and Communications Technologies, ICISCT 2019

作者： Gulyamov, Shuxrat Manapovich Zaynutdinova, Mastura Bahadirovna Khojieva, Nasiba Jumabaevna Tashkent State Technical University Doctor of Technical Sciences Tashkent Uzbekistan Tashkent University of Information Technologies Candidate of Technical Sciences Tashkent Uzbekistan Tashkent University of Information Technologies Applicant of the Department 'System and Applied Programming' Tashkent Uzbekistan

ISBN: (数字)9781728125640

ISBN: (纸本)9781728125640

In order to introduce generalized assessments of the degree of perfection of technological schemes of chemical-technological systems, the basic information characteristics of chemical-technological systems that can be determined from the statistical processing of random functions of the output coordinates of these systems are considered. The methods of calculation information characteristics objects Chemical Technology on thermodynamic analysis operation example monoethanolamine separating gas purification at a chemical plant. © 2019 IEEE.

关键词： Spectral density

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Optimizing neural network architecture using Tikhonov regularization parameter for intrusion detection systems and classification of attacks

Optimizing neural network architecture using Tikhonov regula...

引用

2008 International Conference on Information and Knowledge Engineering, IKE 2008

作者： Sharawi, Marwa S. Sammany, Mohammed El-Beltagy, Mohammed Saroit, Imane Faculty of Informatics and Computer Science British University in Egypt Cairo Egypt Department of Applied Mathematics and Programming Aleppo University Aleppo Syria Department of Decision Support System Faculty of Computers and Information Cairo University Cairo Egypt Department of Information Technology Faculty of Computers and Information Cairo University Cairo Egypt

ISBN: (纸本)1601320752

Network Intrusion Detection systems (NIDS) require the ability to generalize from previously observed attacks to detect even new or slight variation records of known attacks. As an intrusion detection system can be regarded as classification problem, we use Artificial Neural networks for detection. Using a benchmark study and set from the KDD (Knowledge Data Discovery and Data Mining) competition designed by DARPA and Multi-layered perceptron neural network, this Paper will aim to solve a multi class problem using MLP in to distinguish the attack records from normal ones, and also identify the attack type. In addition, it shows how to use Tikhonov regularization parameter to optimize the optimal network architecture in order to increase the system performance. The results show that the designed system is capable of classifying records with 98.34% accuracy with two hidden layers of neuron. Finally, the performance of the benchmark study is compared with our results.

关键词： Intrusion detection

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