检索结果-内蒙古大学图书馆

3rd International Conference on Computational Electronics for Wireless Communications, ICCWC 2023

作者： Vaish, Arti Parthasarathy, Harish Dua, Rakhi Department of Computer Science and Engineering School of Engineering and Technology O P Jindal University CG Raigarh Punjipathra India Electronics and Communication Division Netaji Subhas University of Technology Dwarka New Delhi India ECE Department KR Manglam University Gurugram India

ISBN: (纸本)9789819719426

This paper develops a four space-time dimensional finite element approach for approximately calculating the electromagnetic and Dirac fields within a 3-D cavity resonator taking into account the interaction between the two fields. The idea is to partition the four-dimensional space-time region consisting of the 3-D cavity and the finite time duration over which the fields are to be determined into four-dimensional simplices. Each simplex is defined by five vertex points in four-dimensional space-time and the fields within each such simplex are expressed as affine linear functions of the four simplex coordinates so that the values of the field at the vertices of the simplex coincides with the field value at that vertex. We then substitute these affine linear functions into the action functional of the electromagnetic field interacting with the Dirac field thereby yielding a quadratic function of the simplex vertex field values corresponding to the free field action plus cubic function of the vertex fields corresponding to the interaction action between the Dirac current and the electromagnetic field. By summing up this action over all the simplices into which we have partitioned the space-time region, we obtain a quadratic-cubic function of the field values at all the vertices of the different simplices. The problem of approximately calculating the fields within the cavity then amounts to minimizing this function of a finite number of complex variables corresponding to the field values at the vertices of the simplices. This optimization can be carried out using for example a gradient search algorithm or using perturbation theory for obtaining solutions to a system of nonlinear algebraic equations when the nonlinearity is small. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Perturbation techniques

来源：评论

学校读者我要写书评

暂无评论

A Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

引用

IEEE Communications Surveys and Tutorials 2023年第3期25卷 1841-1876页

作者： Jouhari, Mohammed Saeed, Nasir Alouini, Mohamed-Slim Amhoud, El Mehdi Mohammed Vi Polytechnic University School of Computer Science Ben Guerir43150 Morocco United Arab Emirates University Department of Electrical and Communication Engineering Al Ain United Arab Emirates King Abdullah University of Science and Technology Computer Electrical and Mathematical Sciences and Engineering Division Thuwal23955-6900 Saudi Arabia

Long-range (LoRa) technology is most widely used for enabling low-power wide area networks (WANs) on unlicensed frequency bands. Despite its modest data rates, it provides extensive coverage for low-power devices, making it an ideal communication system for many Internet of Things (IoT) applications. In general, LoRa is considered as the physical layer, whereas LoRaWAN is the medium access control (MAC) layer of the LoRa stack that adopts a star topology to enable communication between multiple end devices (EDs) and the network gateway. The chirp spread spectrum modulation deals with LoRa signal interference and ensures long-range communication. At the same time, the adaptive data rate mechanism allows EDs to dynamically alter some LoRa features, such as the spreading factor (SF), code rate, and carrier frequency to address the time variance of communication conditions in dense networks. Despite the high LoRa connectivity demand, LoRa signals interference and concurrent transmission collisions are major limitations. Therefore, to enhance LoRaWAN capacity, the LoRa Alliance released many LoRaWAN versions, and the research community has provided numerous solutions to develop scalable LoRaWAN technology. Hence, we thoroughly examine LoRaWAN scalability challenges and state-of-the-art solutions in both the physical and MAC layers. These solutions primarily rely on SF, logical, and frequency channel assignment, whereas others propose new network topologies or implement signal processing schemes to cancel the interference and allow LoRaWAN to connect more EDs efficiently. A summary of the existing solutions in the literature is provided at the end of the paper, describing the advantages and disadvantages of each solution and suggesting possible enhancements as future research directions. © 1998-2012 IEEE.

关键词： Wide area networks

来源：评论

学校读者我要写书评

暂无评论

An Improved Time Feedforward Connections Recurrent Neural Networks

引用

Intelligent Automation & Soft Computing 2023年第6期36卷 2743-2755页

作者： Jin Wang Yongsong Zou Se-Jung Lim School of Hydraulic&Environmental Engineering Changsha University of Science&TechnologyChangsha410014China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410014China AI Liberal Arts Studies Division of ConvergenceHonam UniversityGwangju-si62399Korea

Recurrent Neural Networks(RNNs)have been widely applied to deal with temporal problems,such as flood forecasting and financial data *** the one hand,traditional RNNs models amplify the gradient issue due to the strict time serial dependency,making it difficult to realize a long-term memory *** the other hand,RNNs cells are highly complex,which will signifi-cantly increase computational complexity and cause waste of computational resources during model *** this paper,an improved Time Feedforward Connections Recurrent Neural Networks(TFC-RNNs)model was first proposed to address the gradient issue.A parallel branch was introduced for the hidden state at time t−2 to be directly transferred to time t without the nonlinear transforma-tion at time t−*** is effective in improving the long-term dependence of ***,a novel cell structure named Single Gate Recurrent Unit(SGRU)was *** cell structure can reduce the number of parameters for RNNs cell,consequently reducing the computational ***,applying SGRU to TFC-RNNs as a new TFC-SGRU model solves the above two ***,the performance of our proposed TFC-SGRU was verified through sev-eral experiments in terms of long-term memory and anti-interference *** results demonstrated that our proposed TFC-SGRU model can cap-ture helpful information with time step 1500 and effectively filter out the *** TFC-SGRU model accuracy is better than the LSTM and GRU models regarding language processing ability.

关键词： Time feedforward connections long-short term memory gated recurrent unit SGRU RNNs

来源：评论

学校读者我要写书评

暂无评论

A Comparative Performance Analysis of Android Malware Classification Using Supervised and Semi-supervised Deep Learning 16

A Comparative Performance Analysis of Android Malware Classi...

引用

16th International Conference on Security of Information and Networks, SIN 2023

作者： Hossain, Md Sharafat Hossain, Md Delwar Rahman, Md Mahbubur Taenaka, Yuzo Islam, Md Saiful Kadobayashi, Youki Institute of Information and Communication Technology Bangladesh University of Engineering and Technology Dhaka Bangladesh Division of Information Science Nara Institute of Science and Technology Nara Ikoma Japan Military Institute of Science and Technology Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350343212

Mobile phones were originally designed for commu-nication, wherein they have evolved into multifunctional devices used for financial transactions, social media, and more, making them an integral mode of communication for the dweller's world. However, the mostly used OS in mobile devices, Android consist of various vulnerabilities and lack sufficient security measures, leaving them susceptible to malware injection. Moreover, the attackers develop sophisticated malware, which is challenging to detect by traditional detection approaches. Henceforth, an effective malware detection method is imperative to ensure the safety and security of Android systems. In this study, we address the dynamic analysis of Android malware using supervised and semi-supervised deep neural network techniques to tackle existing challenges. Our investigation is conducted on the CCCS-CIC-AndMal-2020 dataset and the results reveal that our proposed supervised models (1D CNN, MLP, RNN and LSTM) outperform state-of-the-art supervised models significantly with an accuracy of 99.76%. Additionally, we explore semi-supervised approach using limited label data, where our label spreading approach showcases a highly effective detection accuracy of 97.26%, approaching that of a fully supervised approach. © 2023 IEEE.

关键词： Android malware

来源：评论

学校读者我要写书评

暂无评论

An SIR Recovery-Rate Control Model for Piecewise Constant Transmission Rates 9

An SIR Recovery-Rate Control Model for Piecewise Constant Tr...

引用

9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Barbieri, Enrique Tzouanas, Vassilios Cullen College of Engineering University of Houston Technology Division HoustonTX77204 United States University of Houston - Downtown Computer Science and Engineering Technology Department HoustonTX77002 United States

ISBN: (纸本)9798350311402

A susceptible S(t), infectious I(t), and removed R(t) (SIR) family of deterministic, lumped-parameter models of directly transmitted infectious diseases is considered. A piecewise constant transmission rate is estimated via a Luenbergertype observer and used to adjust the recovery rate in an effort to maintain the basic reproduction number close to unity. The result is a mitigation strategy that avoids multiple infectious waves. A linear, discrete-time state-space model is used throughout with the transmission rate treated as an unknown but constant disturbance during a control design time window. The off-line simulations in discrete time may be used to produce heuristic policies implemented by public health and government organizations. © 2023 IEEE.

关键词： State space methods

来源：评论

学校读者我要写书评

暂无评论

Graph Neural Network-Based Node Clustering for Dual-Focused Power Network Partitioning 50

Graph Neural Network-Based Node Clustering for Dual-Focused ...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Eddin, Maymouna Ez Massaoudi, Mohamed Abu-Rub, Haitham Shadmand, Mohammad Abdallah, Mohamed Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar Department of Electrical and Computer Engineering Texas A&M University College Station United States Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago United States Information and Computing Technology Division Hamad Bin Khalifa University Doha Qatar

ISBN: (纸本)9781665464543

Partitioning the power system into smaller, manageable units facilitates better grid monitoring and control, thereby improving the grid’s stability and reliability. However, large-scale power networks consist of thousands of nodes and edges, which complicates the process of learning appropriate node embeddings and aggregating information from neighboring nodes. By representing power grids as undirected weighted graphs, this study proposes a novel power network partitioning approach using Graph Neural Networks (GNN). The proposed model simplifies the clustering objective by focusing on a single balancing term, which reduces computational complexity while maintaining competitive clustering performance. The power network is represented as a graph where the proposed GNN uses the normalized graph Laplacian, which effectively captures the complex connectivity of the nodes, instead of the traditional adjacency matrix. Active power levels serve as nodal attributes, ensuring that clusters represent both the physical and operational characteristics of the network. This dual-focused approach promotes a partitioning that is topologically coherent and functionally homogeneous, vital for enhanced grid management. When applied to the IEEE 14, 39, and 118 bus systems, the proposed method has successfully delineated coherent clusters of buses, underlining its potential for improving power grid management. The simulation results confirm the method’s efficacy and applicability. © 2024 IEEE.

关键词： Undirected graphs

来源：评论

学校读者我要写书评

暂无评论

Design of Adaptive PID Controllers Subject to Process Constraints 9

Design of Adaptive PID Controllers Subject to Process Constr...

引用

9th International Conference on Control, Decision and Information Technologies, CoDIT 2023

作者： Tzouanas, Vassilios Barbieri, Enrique University of Houston - Downtown Computer Science and Engineering Technology Department HoustonTX77002 United States Cullen College of Engineering University of Houston Technology Division HoustonTX77204 United States

ISBN: (纸本)9798350311402

This paper presents a new method to design adaptive Proportional-Integral-Derivative (PID) controllers which optimize a performance criterion (integral absolute error or integral square error) subject to constraints such as controlled variable, manipulated variable and rate of change constraints. The design method is applicable to linear or nonlinear processes. Modeling of such processes is done using a linear ARX model. In addition, the design method is independent of the PID controller type and accounts for controllers with proportional or derivative action on the control error or the process variable. The proposed design method is not analytic in nature, but rather it is implemented using existing MATLAB optimization functions and demonstrated using simulation experiments for linear and nonlinear processes. © 2023 IEEE.

关键词： Three term control systems

来源：评论

学校读者我要写书评

暂无评论

Enhanced Locational FDIA Detection in Smart Grids: A Scalable Distributed Framework 4

Enhanced Locational FDIA Detection in Smart Grids: A Scalabl...

引用

4th International Conference on Smart Grid and Renewable Energy, SGRE 2024

作者： Eddin, Maymouna Ez Massaoudi, Mohamed Shadmand, Mohammad Abdallah, Mohamed Texas A&M University at Qatar Department of Electrical and Computer Engineering Doha Qatar Texas A&M University Department of Electrical and Computer Engineering College Station United States University of Illinois at Chicago Department of Electrical and Computer Engineering Chicago United States Hamad Bin Khalifa University Information and Computing Technology Division Doha Qatar

ISBN: (纸本)9798350306262

Locational detection of the false data injection attack (FDIA) is essential for smart grid cyber-security. However, the FDIA detection techniques often falter in scalability as power network complexity increases. To address the research gap, this paper introduces an innovative distributed framework for locational FDIA detection that optimizes both performance and scalability. The proposed framework initially partitions the power grid using the improved Louvain community detection algorithm. The proposed solution utilizes the Electrical Functional Strength (EFS) matrix and power supply modularity. Subsequently, a dedicated multi-label one-dimensional convolutional neural network model (1D CNN) locational detector is designed for each derived cluster. The proposed methodology is designed to increase detection accuracy and enhance the scalability of the model. This is achieved by reducing training and detection times, as well as lowering memory requirements, compared to traditional centralized approaches. The effectiveness of the proposed framework is validated through simulations on the IEEE 39-bus system. These simulations demonstrate the framework's capability to enhance detection accuracy by simplifying the locational FDIA detection challenge, achieved through strategic grid partitioning. © 2024 IEEE.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

ECDSA-based tamper detection in medical data using a watermarking technique

引用

International Journal of Cognitive Computing in engineering 2024年第1期5卷 78-87页

作者： Ch, Rupa Vivek K, Naga Srivastava, Gautam Reddy Gadekallu Department CSE VR Siddhartha Engineering College Andhra Pradesh Vijayawada520 007 India Dept of Math and Computer Science Brandon University MB Canada Dept. of Computer Science and Math Lebanese American University Beirut1102 Lebanon Centre of Research Impact and Outcome Chitkara University Institute of Engineering and Technology Chitkara Punjab Rajpura140401 India Lebanese American University Department of Electrical and Computer Engineering Byblos Lebanon Lovely Professional University Division of Research and development Phagwara India Jiaxing University College of Information Science and Engineering Jiaxing China

Telemedicine is a form of healthcare delivery that employs communication technology to provide medical care to patients remotely. The use of telemedicine has seen a significant increase in recent years, presenting challenges such as patient privacy, data security, the need for reliable communication technology, and the potential for misdiagnosis without a physical examination. Digital Watermarking can assist in addressing such issues by incorporating a unique identifier into an image that can be used to authenticate its validity. To tackle these issues, this study proposes a robust digital watermarking approach tailored to brain medical images, combining hashing, the Elliptic Curve Digital Signature Algorithm (ECDSA), and the Integer Wavelet Transform-Discrete Cosine Transform (IWT-DCT). This method utilizes the Secure Hash Algorithm (SHA-256) to first segment the brain's Region of Interest (RoI). Subsequently, the hashed RoI, along with an ECDSA signature, is embedded into the high-frequency sub-bands of the medical image using IWT-DCT. The embedding process strategically alters the coefficients of the high-frequency sub-bands to accommodate the signature while minimizing perceptual distortion. The technique leverages the robustness of transformed-domain image watermarking techniques against various attacks and combines it with SHA-256 for integrity and ECDSA for authentication purposes. The results demonstrate that the suggested approach is robust to a variety of image processing techniques, including noise addition, filtering, and compression while maintaining high levels of imperceptibility. Key metrics such as the Peak Signal-to-Noise Ratio (PSNR), Mean Squared Error (MSE), and Structural Similarity Index (SSIM) were used to evaluate performance. The suggested strategy exhibited a substantial improvement over existing methods. The PSNR increased to 68.67, indicating higher image quality, while the MSE reduced to 0.96, demonstrating closer pixel values to the or

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

Carbon Quantum Dot Fluorescent Stickers for Biochip Authentication 33

Carbon Quantum Dot Fluorescent Stickers for Biochip Authenti...

引用

33rd IEEE Asian Test Symposium, ATS 2024

作者： Baban, Navajit Singh Abdelhameed, Mohammed Elbeh, Mahmoud Ramadi, Khalil Song, Yong-Ak Bhattacharjee, Sukanta Karri, Ramesh Chakrabarty, Krishnendu New York University Division of Engg. Abu Dhabi United Arab Emirates Indian Institute of Technology Department of Computer Science and Engineering Guwahati India New York University Department of Electrical and Computer Engineering New York United States Arizona State University School of Electrical Computer and Energy Engineering TempeAZ United States

ISBN: (纸本)9798331529161

Microfluidic biochips are widely used in biomedical research, clinical diagnostics, and point-of-care testing. However, their complex supply chains make them vulnerable to counterfeiting, overbuilding, and intellectual property (IP) piracy. We present fluorescent carbon quantum dot (CQD) stickers1 that can be integrated with the polydimethylsiloxane (PDMS) based biochips for authentication. The stickers can be plasma-bonded to biochips made of glass and silicon. A protective spin-coated PDMS layer makes them obscured and tamperproof. However, they are detectable under UV light and can be authenticated via spectral analysis. The scheme exhibits unique excitation-dependent responses associated with the variability of the CQD sizes. This makes it ideal for physical authentication. Reliability studies concerning mechanical, photonic, and thermal degradation have demonstrated highly stable results. The stability of CQDs within the PDMS, their robust excitation-based emission fluorescence response, and the use of waste polypropylene masks make this a sustainable and robust authenticator for biochips. © 2024 IEEE.

关键词： Polydimethylsiloxane

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：