检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Bekos, Michael A. Bose, Prosenjit Büngener, Aaron Dujmović, Vida Hoffmann, Michael Kaufmann, Michael Morin, Pat Odak, Saeed Weinberger, Alexandra Department of Mathematics University of Ioannina Greece School of Computer Science Carleton University Ottawa Canada Department of Computer Science University of Tübingen Germany School of Electrical Engineering and Computer Science University of Ottawa Canada Department of Computer Science ETH Zürich Switzerland Department of Computer Science and Electrical Engineering University of Ottawa Canada Faculty of Mathematics and Computer Science FernUniversität in Hagen Germany

We study the impact of forbidding short cycles to the edge density of k-planar graphs;a k-planar graph is one that can be drawn in the plane with at most k crossings per edge. Specifically, we consider three settings, according to which the forbidden substructures are 3-cycles, 4-cycles or both of them (i.e., girth ≥ 5). For all three settings and all k ∈ {1, 2, 3}, we present lower and upper bounds on the maximum number of edges in any k-planar graph on n vertices. Our bounds are of the form c n, for some explicit constant c that depends on k and on the setting. For general k ≥ 4 our bounds are of the form c√kn, for some explicit constant c. These results are obtained by leveraging different techniques, such as the discharging method, the recently introduced density formula for non-planar graphs, and new upper bounds for the crossing number of 2– and 3-planar graphs in combination with corresponding lower bounds based on the Crossing Lemma. © 2024, CC BY-NC-ND.

关键词： Graphic methods

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Enabled Intelligent Healthcare Management System in Smart Cities Environment

引用

computers, Materials & Continua 2023年第2期74卷 4483-4500页

作者： Hanan Abdullah Mengash Lubna A.Alharbi Saud S.Alotaibi Sarab AlMuhaideb Nadhem Nemri Mrim M.Alnfiai Radwa Marzouk Ahmed S.Salama Mesfer Al Duhayyim Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTabuk UniversityTabuk71491Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Information Systems College of Science and Arts at MuhayelKing Khalid UniversitySaudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Electrical Engineering Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

In recent times,cities are getting smart and can be managed effectively through diverse architectures and *** cities have the ability to support smart medical systems that can infiltrate distinct events(i.e.,smart hospitals,smart homes,and community health centres)and scenarios(e.g.,rehabilitation,abnormal behavior monitoring,clinical decision-making,disease prevention and diagnosis postmarking surveillance and prescription recommendation).The integration of Artificial Intelligence(AI)with recent technologies,for instance medical screening gadgets,are significant enough to deliver maximum performance and improved management services to handle chronic *** latest developments in digital data collection,AI techniques can be employed for clinical decision making *** the other hand,Cardiovascular Disease(CVD)is one of the major illnesses that increase the mortality rate across the ***,wearables can be employed in healthcare systems that instigate the development of CVD detection and *** this motivation,the current study develops an Artificial Intelligence Enabled Decision Support System for CVD Disease Detection and Classification in e-healthcare environment,abbreviated as AIDSS-CDDC *** proposed AIDSS-CDDC model enables the Internet of Things(IoT)devices for healthcare data ***,the collected data is saved in cloud server for *** by,training 4484 CMC,2023,vol.74,no.2 and testing processes are executed to determine the patient’s health *** accomplish this,the presented AIDSS-CDDC model employs data preprocessing and Improved Sine Cosine Optimization based Feature Selection(ISCO-FS)*** addition,Adam optimizer with Autoencoder Gated RecurrentUnit(AE-GRU)model is employed for detection and classification of *** experimental results highlight that the proposed AIDSS-CDDC model is a promising performer compared to other existing models.

关键词： Smart cities e-healthcare decision support system cardiovascular disease deep learning feature selection

来源：评论

学校读者我要写书评

暂无评论

Fast Novel Efficient S-Boxes with Expanded DNA Codes

引用

Security and Communication Networks 2023年第1期2023卷

作者： Maolood, Abeer Tariq Farhan, Alaa Kadhim El-Sobky, Wageda I. Zaky, Hany Nasry Zayed, Hossam L. Ahmed, Hossam E. Diab, Tamer O. Computer Sciences Department University of Technology Baghdad Iraq Department of Basic Engineering Sciences Benha Faculty of Engineering Benha University Benha13511 Egypt Mathematics Department Military Technical College Cairo Egypt Electrical Engineering Department Benha Faculty of Engineering Benha University Benha13511 Egypt

IoT is one of the most popular technologies in recent years due to the interconnection of various infrastructures, physical devices, and software. To guarantee the security of Internet of Things (IoT) pervasiveness, lightweight cryptographic solutions are needed and this requires lightweight cryptographic primitives. The choice of S-box in light block ciphers plays an important role in characterizing the security-performance trade-off. The choice of the 4 × 4 S-box for the lightweight constructions results in compact hardware, speeding up the computational capability of the security algorithm unlike the 8 × 8 S-box. This work presents efficient algebraic S-boxes for a fast image cryptosystem based on a strong nonlinear function which is expanded by a biological technique depending on DNA. The robustness of the proposed S-boxes is analysed and tested against various standard attack criteria such as interpolation attacks, avalanche effect, and nonlinearity. The great advantage of introducing S-boxes is that its DSAC is the ideal value which is equal to zero. Also, other tests executed on these S-boxes guaranteed its robustness and excellent security performance. Moreover, the experiments are applied with full description in two different modes;RGB and gray images. The results of all tests proved to have fast and strong effective S-boxes. © 2023 Abeer Tariq Maolood et al.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Maximum Channel Coding Rate of Finite Block Length MIMO Faster-Than-Nyquist Signaling

Maximum Channel Coding Rate of Finite Block Length MIMO Fast...

引用

IEEE Conference on Wireless Communications and Networking

作者： Zichao Zhang Melda Yuksel Halim Yanikomeroglu Benjamin K. Ng Chan–Tong Lam Department of Systems and Computer Engineering Carleton University Ottawa ON Canada Department of Electrical and Electronics Engineering Middle East Technical University Ankara Turkey Faculty of Applied Sciences Macao Polytechnic University Macao SAR China

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The pursuit of higher data rates and efficient spectrum utilization in modern communication technologies necessitates novel solutions. In order to provide insights into improving spectral efficiency and reducing latency, this study investigates the maximum channel coding rate (MCCR) of finite block length (FBL) multiple-input multiple-output faster-than-Nyquist (FTN) channels. By optimizing power allocation, we derive the system's MCCR expression. Simulation results are compared with the existing literature to reveal the benefits of FTN in FBL transmission.

关键词： Spectral efficiency Error probability Simulation Ultra reliable low latency communication MIMO Resource management Channel coding Gain

来源：评论

学校读者我要写书评

暂无评论

FireSense: AI-Based Wildfire and Smoke Detection in Forests

FireSense: AI-Based Wildfire and Smoke Detection in Forests

引用

International Conference on New Trends in Computing Sciences (ICTCS)

作者： Abdul Basit Mughal Syed Mujtaba Haider Rafi Ullah Khan Syed Mohsin Ali Shah Javiriya Hameed Arain Department of Computer Science Bahria University Islamabad Pakistan Department of Mathmatics University of Pavia Pavia Italy Dept. of Electrical & Computer Engineering PAF-IAST Haripur Pakistan Faculty of Engineering University of Deusto Bilbao Spain Department of Computer Science COMSATS University Islamabad Pakistan

ISBN: (数字)9798331523411

ISBN: (纸本)9798331523428

Forests are an essential part of the environment which plays a vital role in sustaining ecological balance and providing habitat to different wildlife. Wildfires are one of the serious threats to forests which create a devastating impact on the natural ecosystem. Early identification of smoke and wildfires will help to reduce damage and support a quick reaction. Earlier, wildfire and smoke detection in forests were very difficult due to the challenging forest terrain, low light conditions, and difficult weather conditions. With the development in technology, several computer vision methods are combined with satellite and Unmanned Aerial Vehicle (UAV) data to correctly identify wildfires, but accuracy is still a concern with these models. This paper introduced a novel method to detect wildfire and smoke in forests utilizing fine-tuned YOLOv11n using an aerial vehicle dataset. The mAP of the fine-tuned YOLOv11n is 88.6%, with a precision of 100% and an F1-score of 85%. The number of parameters has decreased by 30% compared to its previous models, and the model size is only 5.5MB.

关键词： Wildfires Forests Satellites Biological system modeling Computational modeling Wildlife Habitats Ecosystems Autonomous aerial vehicles Data models

来源：评论

学校读者我要写书评

暂无评论

Novel converter-dynamic voltage restorer integration to mitigate voltage sags

Novel converter-dynamic voltage restorer integration to miti...

引用

13th International Conference on Power Electronics, Machines and Drives (PEMD 2024)

作者： Sultan Alwahaibi Patrick Wheeler Marco Rivera Rishad Ahmed Electrical Engineering Department College of Engineering University of Hafr Al Batin Hafr Al Batin 39524 Saudi Arabia Power Electronics Machines and Control (PEMC) Research Group Department of Electrical and Electronic Engineering Faculty of Engineering University of Nottingham 15 Triumph Rd Lenton Nottingham NG7 2GT UK

ISBN: (数字)9781837241217

Voltage sag is common power quality issue that disturb load operation and need attention. The Dynamic Voltage Restorer (DVR) is an effective solution for voltage sags compensation. However, the conventional DVR, consisting of a DC source and an inverter, is utilised only during voltage sag events, which raises economic feasibility concerns. This paper introduces a novel approach that integrates the DVR with the power converter with the aim of mitigating grid voltage sags that the converter may encounter. The proposed method involves combining the DVR directly with the converter, eliminating the need for a DC source and a separate DC-AC inverter within the DVR. Such an integration provides a cost-effective and efficient solution for voltage sag mitigation. The effectiveness of the proposed approach is evaluated by simulation studies, demonstrating its reasonability and its capability to compensate for voltage sags. The results highlight the potential advantages of this integrated system in ensuring uninterrupted converter operation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A conditional value at risk-based optimal power flow in hybrid AC/DC power systems

A conditional value at risk-based optimal power flow in hybr...

引用

22nd IET International Conference on AC and DC Power Transmission (ACDC Global 2025)

作者： Saeed Rezaeian-Marjani Lukas Sigrist Aurelio García-Cerrada Sadjad Galvani Instituto de Investigación Tecnológica (IIT) ETSI ICAI Universidad Pontificia Comillas Madrid Spain Department of Power Engineering Faculty of Electrical and Computer Engineering Urmia University Urmia Iran

ISBN: (数字)9781837242634

In recent decades, the demand for energy and the need to improve power systems' efficiency have made hybrid AC/DC systems an effective solution. They are crucial for integrating renewable energy sources (RESs), like wind farms, into power systems. One of the significant challenges in managing these systems is the optimal power flow (OPF) problem. In hybrid AC/DC systems, the AC and DC networks are interconnected, so both must be modelled together, increasing the complexity of this problem. Furthermore, uncertainties in load demand and RES outputs make optimisation more complex, leading to fluctuations in system performance. Thus, risk management becomes essential. The Conditional Value at Risk (CVaR) tool effectively manages risks and comprehensively evaluates system performance under uncertainty. By incorporating CVaR into the OPF problem, which typically aims to minimise operational costs, more reliable solutions can be achieved by considering risks. This paper proposes a novel framework for solving the extended OPF problem in hybrid AC/DC systems by applying the CVaR criterion to the voltage magnitude deviation index (VDI) of buses, aiming to minimise costs and effectively manage risks associated with system uncertainties and fluctuations, particularly those arising from the integration of RESs. The proposed method is evaluated on the IEEE 39-bus test system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

FAS-Driven Spectrum Sensing for Cognitive Radio Networks

arXiv

引用

arXiv 2024年

作者： Yao, Junteng Jin, Ming Wu, Tuo Elkashlan, Maged Yuen, Chau Wong, Kai-Kit Karagiannidis, George K. Shin, Hyundong Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China School of Electrical and Electronic Engineering Nanyang Technological University 639798 Singapore School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom Department of Electronic and Electrical Engineering University College London Torrington Place WC1E 7JE United Kingdom Department of Electronic Engineering Kyung Hee University Gyeonggi-do Yongin17104 Korea Republic of Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki54124 Greece

Cognitive radio (CR) networks face significant challenges in spectrum sensing, especially under spectrum scarcity. Fluid antenna systems (FAS) can offer an unorthodox solution due to their ability to dynamically adjust antenna positions for improved channel gain. In this letter, we study a FAS-driven CR setup where a secondary user (SU) adjusts the positions of fluid antennas to detect signals from the primary user (PU). We aim to maximize the detection probability under the constraints of the false alarm probability and the received beamforming of the SU. To address this problem, we first derive a closed-form expression for the optimal detection threshold and reformulate the problem to find its solution. Then an alternating optimization (AO) scheme is proposed to decompose the problem into several sub-problems, addressing both the received beamforming and the antenna positions at the SU. The beamforming subproblem is addressed using a closed-form solution, while the fluid antenna positions are solved by successive convex approximation (SCA). Simulation results reveal that the proposed algorithm provides significant improvements over traditional fixed-position antenna (FPA) schemes in terms of spectrum sensing performance. © 2024, CC BY.

关键词： Beamforming

来源：评论

学校读者我要写书评

暂无评论

Analysis of Aluminum Eddy Current Effect for Planar Switched Reluctance Motors

Analysis of Aluminum Eddy Current Effect for Planar Switched...

引用

Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Jun-Di Sun Zhengyou He Guang-Zhong Cao Su-Dan Huang Jiangbiao He Qing-Quan Qian Department of Electrical Engineering Southwest Jiaotong University Chengdu China Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen University Shenzhen China Department of Electrical and Computer Engineering University of Kentucky Lexington KY USA

In this article, influence of aluminum eddy current in the PSRM stator array on the electromagnetic properties and control performance is investigated. The eddy current density distribution model is established based on Maxwell’s equations, and the inductance model is derived considering the eddy current effect. The effect of aluminum eddy current on the PSRM position control performance is qualitatively analyzed. The aluminum eddy current distribution and ohmic loss distribution characteristics with the mover at different positions are verified by finite element analysis. The validity of the developed inductance model is experimentally verified. A material replacement method is proposed to eliminate the aluminum eddy current. The experimental results show that the position control accuracy of the PSRM prototype is improved by 6.94% on average after the elimination of eddy currents, while the motor efficiency is improved by 6.51%.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Can Copyright be Reduced to Privacy?

arXiv

引用

arXiv 2023年

作者： Elkin-Koren, Niva Hacohen, Uri Livni, Roi Moran, Shay Faculty of Law Tel Aviv University Department of Electrical Engineering Tel Aviv University Department of Mathematics and Computer Science Technion

There is a growing concern that generative AI models will generate outputs closely resembling the copyrighted materials for which they are trained. This worry has intensified as the quality and complexity of generative models have immensely improved, and the availability of extensive datasets containing copyrighted material has expanded. Researchers are actively exploring strategies to mitigate the risk of generating infringing samples, with a recent line of work suggesting to employ techniques such as differential privacy and other forms of algorithmic stability to provide guarantees on the lack of infringing copying. In this work, we examine whether such algorithmic stability techniques are suitable to ensure the responsible use of generative models without inadvertently violating copyright laws. We argue that while these techniques aim to verify the presence of identifiable information in datasets, thus being privacy-oriented, copyright law aims to promote the use of original works for the benefit of society as a whole, provided that no unlicensed use of protected expression occurred. These fundamental differences between privacy and copyright must not be overlooked. In particular, we demonstrate that while algorithmic stability may be perceived as a practical tool to detect copying, such copying does not necessarily constitute copyright infringement. Therefore, if adopted as a standard for detecting an establishing copyright infringement, algorithmic stability may undermine the intended objectives of copyright law. © 2023, CC BY-SA.

关键词： Stability

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：