检索结果-内蒙古大学图书馆

International Conference on CAD systems in Microelectronics (CADSM)

作者： Anatoliy Obshta Mykola Prodaniuk Ihor Kohut Maria Ruda Iryna Soroka Department of Computational Mathematics and Programming Lviv Polytechnic National University Lviv Ukraine Department of Information Systems and Networks Lviv Polytechnic National University Lviv Ukraine Department of Environmental Safety and Nature Protection Activity Lviv Polytechnic National University Lviv Ukraine Department of Project Management Lviv Polytechnic National University Lviv Ukraine

We analyzed the methods and means of quality monitoring of the functioning of natural protective forest stands along the railroad tracks. On the basis of experimental studies, we identified the factors of horizontal and vertical structure of protective consortive ecotones (PCE), influencing the effectiveness of protection of the railroad tracks and the natural environment as a whole. We propose structures of basic modules for the quality monitoring system over the functioning of the PCE along the railroad tracks on the basis of the generalized structure of information systems (IS), smart measuring instruments of which can be automatically synthesized by MEMS technology. There was developed a mathematical model of tree diameter growth taking into account the effect of photosynthesis, which will allow predicting the index of PCE condition.

关键词： Monitoring Ecosystems Forestry Rail transportation information systems Task analysis Organizations

来源：评论

学校读者我要写书评

暂无评论

Design and Development of a Mobile Robotic Complex

Design and Development of a Mobile Robotic Complex

引用

International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)

作者： Aigul Adamova Tamara Zhukabayeva Laula Zhumabayeva Zhanna Mukanova Khu Ven-Tsen Department of Computer engineering and software Saken Seifullin Kazakh Agrotechnical University Astana Kazakhstan Department of Computing Engineering L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Information Systems and Power Engineering S. Yessenov Caspian State University of Technology and Engineering Aktau Kazakhstan Department of Information and Computing Systems Karaganda Economic University of Kazpotrebsoyuz Karaganda Kazakhstan Department of Computer engineering and software programming M. Auezov South Kazakhstan State University Shymkent Kazakhstan

ISBN: (数字)9781538659953

ISBN: (纸本)9781538659960

Development of the mobile robot can be executed in two different ways. Firstly, this creation of the built-in system, secondly, the use of "ready to use" industrial components. With distribution of the industrial mobile robots in the market there are more and more components which can be used for creation of all control system and sensors of the robot mobile platform. Use of the ready components doesn't demand the hardware development that accelerates time of development and reduces cost. The chassis of the Belarus-132 mini-tractor is used as a platform of robotic system in the research, "creation" of the program for traffic control is required. Results of the practical research on design and model development of a mobile robotic complex are given.

关键词： Control systems Robot kinematics Mobile robots Navigation Robot sensing systems

来源：评论

学校读者我要写书评

暂无评论

Research of Energy Detection Method in Spectrum Sensing in Cognitive Radio Networks

Research of Energy Detection Method in Spectrum Sensing in C...

引用

International Conference on information Science and Communications Technologies (ICISCT)

作者： Ernazar Reypnazarov Halimjon Khujamatov Doston Khasanov Zamira Allamuratova Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Computer Enjineering Faculty Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Department of Data Communication Networks and Systems Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan Information-Computer Technologies and Programming Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Tashkent Uzbekistan

This paper presents the threshold value determination model, its implementation algorithm, and the characteristics of the threshold value depending on the probability of false signal detection, developed for the purpose of researching the method of energy determination in spectrum sensing in cognitive radio networks. Also, the main methods of single-band spectrum sensing in cognitive radio networks were initially studied in the article, and the main spectrum detection algorithms were comparatively analyzed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Speaker's Emotions Recognition Module Based on the GoogleLeNet Neural Network

Speaker's Emotions Recognition Module Based on the GoogleLeN...

引用

2022 International Conference on Smart information systems and Technologies, SIST 2022

作者： Tereikovskyi, Ihor Tereikovska, Liudmyla Kryvoruchko, Olena Tereikovskyi, Oleh Tyshchenko, Dmytro Franchuk, Tamara National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. Of System Programming And Specialized Computer Systems Kyiv Ukraine Kyiv National University Of Construction And Architecture Dept. Of Information Technology For Design And Applied Mathematics Kyiv Ukraine Kyiv National University Of Trade And Economics Dept. Of Software Engineering And Cyber Security Kyiv Ukraine National Technical University Of Ukraine Igor Sikorsky Kyiv Polytechnic Institute Dept. Of Department Of Computer Engineering Kyiv Ukraine

ISBN: (数字)9781665467902

ISBN: (纸本)9781665467902

The article is devoted to the development of means for recognition of the emotions of the speaker, based on the neural network analysis of fixed fragments of the voice signal. The possibility of improving recognition tools through the use of a convolutional neural network of the GoogLeNet type is shown. The expediency of training the network on the examples of the TESS database is determined. A procedure for representing a voice signal in the form of a square grayscale image has been developed. Based on the use of the specified database, the modification of the GoogLeNet network was carried out. The architecture and software implementation of the recognition module have been developed. With the help of computer experiments, it has been established that after 150 epochs of training on a fairly limited training sample, the modified GoogLeNet makes it possible to achieve an accuracy of recognition of the speaker's emotions of approximately 0.97 on test examples. The obtained accuracy is comparable to the accuracy of the best modern systems of this purpose and confirms the promise of using neural network models like GoogLeNet for emotion recognition based on voice signal analysis. The need for further research aimed at reducing the resource intensity of the neural network model is shown. © 2022 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Polynomial speedup in Torontonian calculation by a scalable recursive algorithm

arXiv

引用

arXiv 2021年

作者： Kaposi, Ágoston Kolarovszki, Zoltán Kozsik, Tamás Zimborás, Zoltán Rakyta, Péter Department of Programming Languages and Compilers Eötvös Loránd University Budapest Hungary Wigner Research Centre for Physics The Hungarian Academy of Sciences Budapest Hungary BME-MTA Lendület Quantum Information Theory Research Group Budapest Hungary Department of Physics of Complex Systems Eötvös Loránd University Budapest Hungary

Evaluating the Torontonian function is a central computational challenge in the simulation of Gaussian Boson Sampling (GBS) with threshold detection. In this work, we propose a recursive algorithm providing a polynomial speedup in the exact calculation of the Torontonian compared to state-of-the-art algorithms. According to our numerical analysis the complexity of the algorithm is proportional to N1.06912N/2 with N being the size of the problem. We also show that the recursive algorithm can be scaled up to HPC use cases making feasible the simulation of threshold GBS up to 35 − 40 photon clicks without the needs of large-scale computational capacities. © 2021, CC BY-SA.

关键词： Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Data poisoning: issues, challenges, and needs

Data poisoning: issues, challenges, and needs

引用

7th IET Smart Cities Symposium (SCS 2023)

作者： Mohammad Aljanabi Alaa Hamza Omran Maad M Mijwil Mostafa Abotaleb El-Sayed M. El-kenawy Sahar Yousif Mohammed Abdelhameed Ibrahim Department of computer College of Education Aliarqai university Baghdad Iraq University of information technology and communications Baghdad Iraq Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt Computer Science Department Computer Science & Information Technology College Anbar University Anbar Iraq Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comprehensive overview of data poisoning including attack techniques, adversary incentives, impacts on security and reliability, detection methods, defenses, and key research gaps. We examine label flipping, instance injection, backdoors, and other attack categories that enable malicious outcomes ranging from IP theft to accidents in autonomous systems. Promising detection approaches include statistical tests, robust learning, and forensics. However, significant challenges remain in translating academic defenses like adversarial training and sanitization into practical tools ready for operational use. With safety and trustworthiness at stake, more research on benchmarking evaluations, adaptive attacks, fundamental tradeoffs, and real-world deployment of defenses is urgently needed. Understanding vulnerabilities and developing resilient machine learning pipelines will only grow in importance as data integrity is fundamental to developing safe artificial intelligence.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis Technology of English Newspapers Quotes Based on Neural Network as Public Opinion Influences Identification Tool

Sentiment Analysis Technology of English Newspapers Quotes B...

引用

International Computer Sciences and information Technologies (CSIT)

作者： Serhii Voloshyn Victoria Vysotska Oksana Markiv Ivan Dyyak Ihor Budz Vadim Schuchmann Information Systems and Networks Department Lviv Polytechnic National University Lviv Ukraine Lviv Polytechnic National University Lviv Ukraine Osnabrück University Osnabrück Germany Applied Mathematics Department Ivan Franko National University of Lviv Lviv Ukraine Computational Mathematics and Programming Department Lviv Polytechnic National University Lviv Ukraine Software Engineering Department West Ukrainian National University Ternopil Ukraine

ISBN: (纸本)9798350334326

This article dwells upon research concerning human language processing techniques, namely emotion analysis, conducted to identify emotions of author quotations in English newspaper articles. The publication describes general information about human language processing, brief description of analogues based on machine learning and neural network to analyse emotions in text. The main goal is to develop intelligent system for sentiment analysis of English language quotations and keywords identification that influences public opinion. The article describes sequence of program actions and tools that have been used. Then, statistics of tasks performed by neural networks with various functions of activators have been described. In the publication, product demo version has been described, and primary usage scenario has been depicted. In the end, research results have been summarised.

关键词： Training Sentiment analysis Vocabulary Dictionaries Mood Neural networks Text categorization

来源：评论

学校读者我要写书评

暂无评论

Benchmarking Photonic Quantum Machine Learning Simulators

Benchmarking Photonic Quantum Machine Learning Simulators

引用

International Symposium on Applied Computational Intelligence and Informatics ( SACI)

作者： Henrik Varga Attila Kiss Zoltán Kolarovszki Department of Algorithms and their Applications ELTE Eötvös Loránd University Budapest Hungary Department of Information Systems ELTE Eötvös Loránd University Budapest Hungary Department of Informatics J. Selye University Komárno Slovakia Department of Programming Languages and Compilers ELTE Eötvös Loránd University Budapest Hungary Department of Computational Sciences Wigner Research Centre for Physics Budapest Hungary

In the past few years, quantum computing has gotten more attention, and the need for efficient simulations is getting increasingly important as well. A significant branch of quantum computing is photonic quantum computing. For simulating photonic quantum circuits, Strawberry Fields is the most popular framework. In this paper, we compared it with another framework currently under development called Piquasso regarding gradient calculation time, which is an essential part of continuous-variable quantum neural networks. We present the apparent scalability of Piquasso over Strawberry Fields by storing fewer data, but leading to possible accuracy differences as a trade-off, which could motivate future work.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Structure and Functioning of information systems of Background Monitoring of Landscape Elements of Gorgany Nature Reserve

Structure and Functioning of Information Systems of Backgrou...

引用

International Conference on Advanced Computer information Technologies (ACIT)

作者： Yaroslav Nykolaychuk Yaroslav Petrashchuk Olena Slobodian Ihor Pitukh Taras Grynchyshyn Lyubov Nykolaychuk Volodymyr Hryha Department of Specialized Computer Systems Ternopil National Economic University Ternopil Ukraine Gorgany nature reserve Nadvirna Ukraine Department of Programming and Information Technologies Nadvirna College by National Transport University Nadvirna Ukraine Department of Social Communication and Law Ivano-Frankivsk National Technical University of Oil and Gas Ivano-Frankivsk Ukraine Department of Computer Engineering and Electronics Vasyl Stefanyk Precarpathian National University Ivano-Frankivsk Ukraine

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167619

This paper discusses the structural organization of the background monitoring system (BMS) of the transboundary UNESCO World Heritage Site “Beech forests of the Carpathians and ancient beech forests of Germany” using actual data and information from Gorgany Nature Reserve in Ivano-Frankivsk, Ukraine. The features of the structure and functions of background monitoring of the protected natural resources, forests and wildlife of Gorgany Nature Reserve is based on modern methods of collecting and processing of digital data, implementation of the principles of Internet of Things and cloud technologies, combined with GPS-systems, sensor networks with the use of optical and fiber-optic telecommunication channels. The information technology of the background monitoring system is based on figurative cluster models of monitoring objects according to theoretical principles of statistical, correlatory, spectral, cluster, logic-statistical and entropy analysis.

关键词： Monitoring Forestry Correlation Optical fiber sensors Optical fibers Biological system modeling

来源：评论

学校读者我要写书评

暂无评论

Software cost estimation using economic production models

引用

Journal of Management information systems 1998年第1期15卷 143-163页

作者： Hu, Q. Plant, R.T. Hertz, D.B. Dept. of Decis. and Info. Systems Florida Atlantic University United States University of Miami FL United States Dept. of Comp. Information Systems University of Miami Coral Gables FL United States University of Liverpool United Kingdom Programming Research Group Oxford University Wadham College Oxford United Kingdom Department of Computer Science Univ. of Wolverhampton in England Templeton College Oxford United Kingdom Dept. of Comp. Information Systems University of Miami United States Columbia University CEO Identification Technol. Intl. Inc. United States McKinsey and Co. New York City NY United States

One of the major difficulties in controlling software development project cost overruns and schedule delays has been developing practical and accurate software cost models. Software development could be modeled as an economic production process and we therefore propose a theoretical approach to software cost modeling. Specifically, we present the Minimum Software Cost Model (MSCM), derived from economic production theory and systems optimization. The MSCM model is compared with other widely used software cost models, such as COCOMO and SLIM, on the basis of goodness of fit and quality of estimation using software project data sets available in the literature. Judged by both criteria, the MSCM model is comparable to, if not better than, the SLIM, and significantly better than the rest of the models. In addition, the MSCM model provides some insights about the behavior of software development processes and environment, which could be used to formulate guidelines for better software project management polic es and practices.

关键词： Economic production theory Software cost estimation Software cost models Software production Software project management

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：