检索结果-内蒙古大学图书馆

European Control Conference (ECC)

作者： Arvind Ragghav V Muhammad Zaki Almuzakki Bayu Jayawardhana Arun D. Mahindrakar Department of Electrical Engineering IC&SR IIT Madras Indian Institute of Technology Madras Chennai India Department of Computer Science Faculty of Science and Computer Universitas Pertamina Indonesia Faculty of Science and Engineering Engineering and Technology Institute Groningen University of Groningen Netherlands

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

This paper studies the global asymptotic stabilization of passive nonlinear systems with finite, countable control actions. We show that for nonlinear passive systems that are large-time norm observable and admit a finite control input set whose convex hull contains the origin, the origin can be globally asymptotically stabilized and locally exponentially stabilized by means of relaxed control and nearest-action control approaches. In particular, we improve on a recent result of practical stabilization via nearest-action control by utilizing switching controllers that can synthesize extra control actions from an existing control input set. Three switching methodologies are proposed to enlarge the control set and enable global asymptotic and local exponential stabilization. These three methodologies vary in the cardinality of the expanded control set. These methods are validated in numerical simulations where a comparison of the convergence rate is provided.

关键词： Europe Switches Control systems Numerical simulation Nonlinear systems Convergence

来源：评论

学校读者我要写书评

暂无评论

Fault Detection and Location for Reinforcement of Smart Distribution Systems Restoration, Using Discrete Orthogonal Stockwell Transform and Regression ANN 12

Fault Detection and Location for Reinforcement of Smart Dist...

引用

12th Smart Grid Conference, SGC 2022

作者： Hamze, Hooman Fereidunian, Alireza Lesani, Hamid School of Electrical and Computer Engineering University of Tehran Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350333961

Distribution system plays an important role in supplying consumers with electric energy. Due to their structural complexity, these systems have always had difficulties in locating faults for faster restoration. Restoration in distribution systems includes these steps: Fault Location, Isolation, and Service Restoration (FLISR) using manual and automatic switches, which is essential to reduce interruption duration thus to improve system reliability. Therefore, one of the first and the most important steps of reliability improvement is timely locating the fault, thus reinforcing the restoration (FLISR) process. In this article, a fault detection and location method is proposed, using frequency spectrum analysis by Discrete Orthogonal Stockwell Transform (DOST) to extract fault characteristics from the fault current waveform at a certain place of measurement, followed by fault location estimation by regression ANNs. The proposed method first identifies all the possible fault locations using DOST coefficients. Then, the actual fault location is estimated, using the knowledge from distribution system status. The proposed method is tested on IEEE 16-bus distribution test system, revealing that the method is capable to locate various fault types, in a fast and accurate manner, and easily implementable. The effect of the following parameters on the accuracy of the proposed method is analytically discussed: fault location distance from the main bus, faults type, fault inception angle, fault resistance and load variation, where the first four parameters negligibly affect, while the last two might significantly affect the accuracy. © 2022 IEEE.

关键词： Restoration

来源：评论

学校读者我要写书评

暂无评论

Classification and Sentiment Analysis of Amazon Alexa Reviews 1

Classification and Sentiment Analysis of Amazon Alexa Review...

引用

1st International Conference on Logistics, ICL 2024

作者： Mostafa, Salama A. Al-Dayyeni, Wisam Subhi Kareem, Ali Noori Jubair, Mohammed Ahmed Jaber, Mustafa Musa Khalaf, Bashar Ahmad Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology Johor86400 Malaysia School of Information Technologies and Engineering ADA University BakuAZ1008 Azerbaijan Bilad Alrafidain University College Computer Engineering Department Ba'aqubah Diyala32001 Iraq College of Information Technology Imam Ja'afar Al-Sadiq University Department of Computer Technical Engineering Al-Muthanna66002 Iraq Al-Farahidi University Department of Medical Instruments Engineering Techniques Baghdad10021 Iraq Bilad Alrafidain University College Department of Medical Instruments Engineering Techniques Diyala32001 Iraq

ISBN: (纸本)9798331518844

This study is about developing sentiment analysis and classification method for Amazon Alexa products based on the rating and feedback given by customers. The purpose of the method is to investigate the polarity of positive or negative opinions expressed by the buyers of the products to attain insights and recommendations from the provided reviews by the customers. The Amazon Alexa Reviews dataset used in this work consists of 3150 reviews. It contains features related to the ratings, dates, variants, and customer comments on several Amazon Alexa products, such as Echo Dots and Alexa Echo. Four classification algorithms of Decision Tree (DT), Random Forest (RF), XgBoost (XB), and k-Nearest Neighbors (k-NN) are implemented, and the evaluation metrics of accuracy, precision, and recall compare their performances. The evaluation results of the four algorithms have revealed that the RF achieves the best performance among the four classifiers, with an average accuracy score of 94.17%, a precision score of 93.71%, and a recall score of 99.33 %. © 2024 IEEE.

关键词： Amazon Alexa Classifications Decision Tree (DT) K-Nearest Neighbors (k-NN) Random Forest (RF) Sentiment Analysis (SA) XgBoost (XB)

来源：评论

学校读者我要写书评

暂无评论

Improvement of Task Scheduling with Energy Efficiency including Fault Tolerant with Resilient Computing System in Parallel and Distributed Communication Network 2

Improvement of Task Scheduling with Energy Efficiency includ...

引用

2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023

作者： Kumar, Vijay Madhuri, P. Yamini, R. Sravani, Palla Muthukumar, K. Graphic Era Hill University Department of Physics Dehradun India Hyderabad501401 India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Tamil Nadu Kattankulathur603203 India Raghu Engineering College Department of Computer Science and Engineering Andhra Pradesh Visakhapatnam531162 India Sri Krishna College of Engineering and Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore India

ISBN: (纸本)9798350325799

In parallel and distributed communication networks, task scheduling is essential for attaining the best system performance. Innovative ways that may intelligently distribute computing resources while minimizing energy consumption and maintaining system resilience are required due to the rising need for energy efficiency and fault tolerance. This system, offers a unique approach to job scheduling in parallel and distributed communication networks that integrate genetic algorithms (GA) and machine learning (ML).Using ML approaches, proposed method analyses historical task execution data to discover patterns that may be applied to task execution time prediction in various computing systems. As a result, this can assign tasks to resources effectively, maximize resource usage, and cut down on execution time as a whole. In addition, using predefined objectives like energy efficiency and fault tolerance, GA is used to find the best task-resource assignments. This applies resilient computing approaches to the job scheduling procedure to overcome problems with fault tolerance. This prevents the execution of crucial operations from being hampered by system faults or resource shortages by utilizing fault detection and recovery technologies. This system can adapt dynamically to shifting network conditions through the combination of ML, GA, and resilient computing, which raises the entire system's reliability and availability. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Leveraging Information-Centric Edge Computing in Private 5G Cellular Networks via the W3C Web of Things

Leveraging Information-Centric Edge Computing in Private 5G ...

引用

Consumer Communications and Networking Conference, CCNC IEEE

作者： Jan Romann Hugo Hakim Damer T M Rayhan Gias Olaf Bergmann Department of Electrical Engineering and Computer Science Faculty of Technology University of Applied Sciences Emden/Leer Emden Germany

ISBN: (数字)9798331508050

ISBN: (纸本)9798331508067

In this paper, we present an architecture for the deployment of an edge computing system based on Named Data Networking (NDN) as part of a private 5G network. Our proposed architecture integrates IP-based and non-IP-based components using the W3C Web of Things (WoT) standards, including a Thing Description Directory (TDD). Our results highlight the potential of both edge computing and WoT concepts for private 5G deployments but also reveal several standardization gaps that need to be closed to make effective use of the new technologies.

关键词： Cellular networks 5G mobile communication W3C computer architecture Service-oriented architecture Standards Edge computing

来源：评论

学校读者我要写书评

暂无评论

Leveraging Channel Capacity of a Macro Diversity MIMO System in Gamma-Shadowed Nakagami-m Fading Channel for QoS estimation using Quantum Machine Learning 30

Leveraging Channel Capacity of a Macro Diversity MIMO System...

引用

30th Telecommunications Forum, TELFOR 2022

作者： Suljovic, Suad Vujovic, Vuk Markovic, Filip Milic, Dejan Petrovic, Nenad Lazarevic, Angelina Academy of Technical Vocational Studies Applied Engineering Sciences Belgrade Serbia MB University Computer Science and Informatics Information Technology Belgrade Serbia University of Prišrina Faculty of Technical Sciences Computer Science and Informatics Mitrovica Serbia University of Niš Telecommunications Faculty of Electronic Engineering Niš Serbia University of Niš Faculty of Electronic Engineering Computer Science and Informatics Niš Serbia

ISBN: (数字)9781665472739

ISBN: (纸本)9781665472739

In this paper we consider a system of one macro diversity SC receiver (MD SC) and two micro MRC (mD MRC) receivers, operating in a Nakagami-m multipath environment with gamma shadowing. The combination of the maximum L-branch SNR signal-to-noise ratio is realized at the micro level, and the selector combiner (SC) with two base stations is realized at the macro level. A closed-form expression for the channel capacity (CC) of the envelope of the SC macro diversity output signal is calculated. Graphical results show the effects of different system parameters on system performance, as well as the improvement due to the use of a combination of the micro and macro diversity. The derived expressions are used within GPU-based mobile network for modeling, planning and simulation of the system to estimate the quality of service (QoS). © 2022 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Exploring digital tourism application for medieval period reconstruction 1

Exploring digital tourism application for medieval period re...

引用

1st International Virtual Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding, VIPERC 2022

作者： Ramić-Brkić, Belma Ćosović, Marijana University Sarajevo School of Science and Technology Faculty of Computer Science Sarajevo Bosnia and Herzegovina University of East Sarajevo Faculty of Electrical Engineering East Sarajevo Bosnia and Herzegovina

Europe, with all its common sights, has an enviable wealth of history and cultural heritage. With its many monuments, sites, traditions, history, art, and culture, it has always attracted curious views and tells centuries-old stories to many tourists and visitors. At the heart of Europe, Bosnia and Herzegovina (BiH), founded in the 11th century, with its picturesque past, has always been at the crossroads of faith and civilizations. The key audience of tourism in BiH are nature lovers, adventurers and young and digital nomads, who represent great potential for the development of this sector given their nature of work, to be able to work from any location, and during the COVID-19 period. Furthermore, the importance of the diaspora for the development of tourism in BiH goes beyond tourist visits and helps BiH on its path to digital transformation. Digital tourism refers to how we use digital tools to organize, manage and even enjoy the travel experience. It uses all of the tools of digital transformation to change how we travel and experience different sites. Through digitalization, we want to reach every individual who passes through this country and further attract lovers of European history and culture, offer them a different, more creative, and innovative approach to learning about the cultural and historical treasures it hides. The goal of digital tourism is to raise awareness of the importance of cultural heritage, provide new opportunities for visitors and bring new knowledge. Therefore, this paper provides an overview of the possibilities of digital representations of the medieval historical period of BiH through identified pillars of digital reconstruction, and ways to connect the movable cultural heritage residing in the museums with real sites in an attempt to contribute to its promotion through digital tourism. © 2022 Copyright for this paper by its authors.

关键词： History

来源：评论

学校读者我要写书评

暂无评论

Usability Evaluation Through Fuzzy AHP-TOPSIS Approach: Security Requirement Perspective

引用

computers, Materials & Continua 2021年第7期68卷 1203-1218页

作者： Yoosef BAbushark Asif Irshad Khan Fawaz Jaber Alsolami Abdulmohsen Almalawi Md Mottahir Alam Alka Agrawal Rajeev Kumar Raees Ahmad Khan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Application Shri Ramswaroop Memorial UniversityBarabanki225003India

Most of the security strategies today are primarily designed to provide security protection,rather than to solve one of the basic security issues related to adequate software product *** models,frameworks and methodologies have been introduced by the researchers for a secure and sustainable software development life *** it is important to assess the usability of the popular security requirements engineering(SRE)approaches.A significant factor in the management and handling of successful security requirements is the assessment of security requirements engineering method *** assessment will allow changes to the engineering process of security *** consistency of security requirements depends heavily on the usability of security requirements *** SRE approaches are available for use and each approach takes into account several factors of usability but does not cover every element of *** seems to be no realistic implementation of such models because the concept of usability is not *** paper aims at specifying the different taxonomy of usability and design hierarchical usability *** taxonomy takes into account the common quality assessment parameters that combine variables,attributes,and characteristics identified in different approaches used for security requirements *** multiple-criteria decision-making(MCDM)model used in this paper for usability evaluation is called the fuzzy AHP-TOPSIS model which can conveniently be incorporated into the current approach of software *** significant usability criteria are identified and used to evaluate the six different *** strategies are graded as per their expected values of usability.

关键词： Security requirements engineering cyber-security usability fuzzy logic MCDM

来源：评论

学校读者我要写书评

暂无评论

Modern Challenges and Limitations in Medical Science Using Capsule Networks: A Comprehensive Review 1

引用

4th International Conference on Image Processing and Capsule Networks, ICIPCN 2023

作者： Shah, Milind Bhavsar, Nikunj Patel, Kinjal Gautam, Kinjal Chauhan, Mayur Gujarat Vadodara India Department of Computer Engineering School of Engineering P P Savani University Gujarat Kosamba Surat India Faculty of Computer Applications and Information Technology Gujarat Law Society University Gujarat Ahmedabad India Baroda University Gujarat Vadodara India Gujarat Mehsana India

ISBN: (数字)9789819970933

ISBN: (纸本)9789819970926

Capsule networks (CapsNet), an emerging neural network architecture, is now used in medical science to develop potential tools and applications. Particularly, in the domain of medical image analysis, CapsNet outperforms the existing CNN models in terms of disease detection and classification tasks, such as identifying abnormalities in retinal images for diabetic retinopathy and tumor detection. Moreover, capsule networks are now used in analyzing the electronic health records (EHRs) such as hospital readmissions and mortality rates. However, the implementation of capsule networks in medical science is still in the nascent stage facing several challenges due to the limited availability of high-quality medical data, lack of interpretability, and ethical considerations. In order to overcome these challenges, more research and collaboration works should be encouraged between medical professionals and artificial intelligence (AI) experts. This research study discusses about the modern challenges faced by medical science and how the challenges can be solved by using capsule networks and algorithms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

A Lottery-based Spherical Evolution Algorithm with Elite Retention Strategy 14

A Lottery-based Spherical Evolution Algorithm with Elite Ret...

引用

14th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2022

作者： Li, Jiayi Zhang, Zihang Lei, Zhenyu Yi, Junyan Gao, Shangce University of Toyama Faculty of Engineering Toyama930-8555 Japan Beijing University of Civil Engineering and Architecture Department of Computer Science and Technology Beijing100044 China

ISBN: (数字)9781665461696

ISBN: (纸本)9781665461696

Spherical evolution (SE) is a recently proposed meta-heuristic algorithm. Its special search approach has been proved to be very effective in exploring the search space. SE is very powerful for optimization, but still has room for improvement due to some promising solutions usually fail to survive into the next generation. To alleviate this issue, we innovatively design a novel lottery-based elite retention strategy and propose a lottery elite spherical evolution algorithm (LESE). To verify the effectiveness of the proposed LESE, we experimentally compare it with the original SE algorithm and other representative meta-heuristics algorithms. We use 30 benchmark functions from the IEEE CEC2017 benchmark as the test set for our experiments. The effectiveness of LESE is demonstrated by analyzing the experimental results from perspectives of solution accuracy, convergence speed, solution distribution, and search dynamics. © 2022 IEEE.

关键词： Spheres

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：