检索结果-内蒙古大学图书馆

arXiv 2025年

作者： An, Jiancheng Han, Zhu Niyato, Dusit Debbah, Mérouane Yuen, Chau Hanzo, Lajos School of Electrical and Electronics Engineering Nanyang Technological University Singapore639798 Singapore Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of College of Computing and Data Science Nanyang Technological University Singapore KU 6G Research Center Department of Computer and Information Engineering Khalifa University Abu Dhabi127788 United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France School of Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom

Flexible intelligent metasurfaces (FIMs) show great potential for improving the wireless network capacity in an energy-efficient manner. An FIM is a soft array consisting of several low-cost radiating elements. Each element can independently emit electromagnetic signals, while flexibly adjusting its position even perpendicularly to the overall surface to ‘morph’ its 3D shape. More explicitly, compared to a conventional rigid antenna array, an FIM is capable of finding an optimal 3D surface shape that provides improved signal quality. In this paper, we study point-to-point multiple-input multiple-output (MIMO) communications between a pair of FIMs. In order to characterize the capacity limits of FIM-aided MIMO transmissions over frequency-flat fading channels, we formulate a transmit optimization problem for maximizing the MIMO channel capacity by jointly optimizing the 3D surface shapes of the transmitting and receiving FIMs as well as the MIMO transmit covariance matrix, subject to the total transmit power constraint and to the maximum perpendicular morphing range of the FIM. To solve this problem, we develop an efficient block coordinate descent (BCD) algorithm. The BCD algorithm iteratively updates the 3D surface shapes of the FIMs and the transmit covariance matrix, while keeping the other fixed, to find a locally optimal solution. Numerical results verify that FIMs can achieve higher MIMO capacity than that of the conventional rigid arrays. In particular, the MIMO channel capacity can be doubled by the proposed BCD algorithm under some setups. Copyright © 2025, The Authors. All rights reserved.

关键词： Fading channels

来源：评论

学校读者我要写书评

暂无评论

Optimized ReXNet variants with spatial pyramid pooling, CoordAttention, and convolutional block attention module for money plant disease detection

引用

Discover Sustainability 2025年第1期6卷 1-35页

作者： Nasra, Parul Singh, Jaibir Rani, Suman Shandilya, Gunjan Bharany, Salil Sood, Sandeep Rehman, Ateeq Ur Hussen, Seada Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura India School of Computer Science & Engg Lovely Professional University Punjab Phagwara India School of Electrical & Electronics Engg Lovely Professional University Phagwara India Center for IT Solutions Guru Nanak Dev University Amritsar India School of Computing Gachon University Seongnam-si 13120 South Korea Department of Electrical Power Adama Science and Technology University Adama 1888 Ethiopia

Money plants, widely appreciated for their ornamental appeal and air-purifying capabilities, are susceptible to several diseases most notably Bacterial Wilt Disease and Manganese Toxicity—that can significantly impact their vitality and aesthetic value. This study explores the effectiveness of optimized ReXNet variants integrated with advanced attention mechanisms, including Coordinate Attention (CoordAttention), spatial pyramid pooling (SPP), and the convolutional block attention module (CBAM), for the precise classification of these diseases alongside healthy specimens. A balanced dataset comprising 15,000 high-resolution images was employed to fine-tune and evaluate the model using precision, recall, F1-score, and overall accuracy as performance metrics. The baseline ReXNet model, after fine-tuning, achieved an accuracy of 88%, serving as a reliable benchmark. The CoordAttention-enhanced ReXNet improved both spatial and channel-wise feature extraction, attaining 96% accuracy by leveraging coordinate-separated pooling to highlight relevant features. The SPP-integrated ReXNet further enhanced performance through multi-scale feature aggregation, reaching 98% accuracy and demonstrating robustness in classifying images with overlapping features. The most effective configuration, ReXNet with CBAM, combined channel and spatial attention mechanisms dynamically, yielding flawless classification with a perfect accuracy of 99%. These results highlight the significant impact of attention-based modules in enhancing feature representation and classification accuracy, offering a lightweight and scalable approach for precision agriculture and ornamental plant disease monitoring. © The Author(s) 2025.

关键词： Convolutional block attention module (CBAM) Convolutional neural network (CNN) CoordAttention Deep learning (DL) Image classification Money plant disease detection Precision agriculture ReXNet Spatial pyramid pooling (SPP)

来源：评论

学校读者我要写书评

暂无评论

CIRCUITS FOR PSEUDOEXHAUSTIVE TEST PATTERN GENERATION

引用

IEEE TRANSACTIONS ON computer-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 1988年第10期7卷 1068-1080页

作者： WANG, LT MCCLUSKEY, EJ Center for Reliable Computing Computer Systems Laboratory Departments University of Stanford Stanford CA USA Center for Reliable Computing Computer Systems Laboratory Departments of Electrical Engineering and Computer Science University of Stanford Stanford CA USA

Implementation methods based on cyclic codes are presented for pseudoexhaustive testing of combinational logic networks with restricted output dependency. A modified linear-feedback shift register (LFSR) is used to generate exhaustive test patterns for every output of the circuit. All detectable, combinational faults (those that do not change a combinational circuit to a sequential circuit) in each cone of logic driving a single output are guaranteed to be detected. Examples indicate that LFSRs based on cyclic codes have lower hardware cost and shorter or comparable test lengths than other approaches. These test-pattern generators are well suited to applications where short testing time, low hardware overhead, and 100% single-stuck-at fault coverage are required.< >

关键词： Test pattern generators Circuit testing Logic testing electrical fault detection Fault detection Circuit faults Combinational circuits Sequential circuits Hardware Shift registers

来源：评论

学校读者我要写书评

暂无评论

Low-Complexity Joint Radar-Communication Beamforming: From Optimization to Deep Unfolding

引用

IEEE Journal on Selected Topics in Signal Processing 2025年

作者： Zhang, Jianjun Masouros, Christos Liu, Fan Huang, Yongming Swindlehurst, A. Lee Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing211106 China University College London Department of Electronic & Electrical Engineering LondonWC1E7JE United Kingdom Southern University of Science and Technology Department of Electronic and Electrical Engineering Shenzhen518055 China Southeast University National Mobile Communications Research Laboratory Nanjing210096 China University of California at Irvine Center for Pervasive Communications and Computing IrvineCA92697 United States

By sharing the same hardware platform, spectral resource as well as transmit waveform, dual-functional radar-communication (DFRC) systems have been envisioned as a key technology for the future wireless networks. However, advanced signal processing algorithms for DFRC, which can achieve better performance, tradeoff or other design goals, often suffer from prohibitive computational complexity. This motivates us to design low-complexity joint radar sensing and communication beamforming algorithms in this paper, so as to achieve better energy efficiency, communication-sensing tradeoff, and so on. First, we formulate the problem of joint radar-communication beamforming based on symbol-level precoding (SLP) by incorporating constructive interference so as to improve the energy efficiency. To address the formulated problem, we tailor highly parallelizable iterative optimization algorithms that are shown to converge to stationary (or locally optimal) points. To achieve better performance, we propose efficient recursive optimizations that monotonically improve the performance metric of interest. Simulation results indicate that the proposed iterative algorithms outperform the previous approaches. Finally, to further reduce the complexity, we employ deep unfolding to design efficient learning-based algorithms. Besides parallelizability, the learning-based algorithms also enjoy appealing advantages of scalability in the number of served users, the number of transmit antennas and the length of the radar pulse. © 2007-2012 IEEE.

关键词： Radar interference

来源：评论

学校读者我要写书评

暂无评论

PSEUDONOISE WITH ARBITRARY AMPLITUDE DISTRIBUTION .2. HARDWARE IMPLEMENTATION

引用

IEEE TRANSACTIONS ON computerS 1972年第4期C 21卷 346-+页

作者： SOBOLEWSKI, JS PAYNE, WH Departments of Electrical Engineering and Computer Science and the Computing Center Washington State University Pullman Wash. 9916

A hardwired device that produces a voltage with arbitrary amplitude distribution was constructed using a "conditional bit" algorithm to sample from an arbitrary voltage amplitude distribution. The sampling algorithm and hardware processor are independent of the distribution sampled. Only a small read-only memory ROM needs to be changed to alter the distribution sampled. It is possible to compute the accuracy of the sampled random variables from knowledge of the read-only memory contents. The sampling accuracy of the device may be arbitrarily increased by varying any of several design parameters. Our particular pseudonoise generator produced 200 000 random seven-bit variables/s. Contents of read-only memories for both a Gaussian and an arbitrary density were computed so that the maximum error was less than 2.73 percent. Both the sampling speed and accuracy of a conditional bit pseudonoise generator can be increased much in excess of our implementation.

关键词： Conditional bit sampling hardware sampling device pseudorandom noise pseudorandom variable sampling algorithm shift register sequence

来源：评论

学校读者我要写书评

暂无评论

PSEUDONOISE WITH ARBITRARY AMPLITUDE DISTRIBUTION .1. THEORY

引用

IEEE TRANSACTIONS ON computerS 1972年第4期C 21卷 337-+页

作者： SOBOLEWSKI, JS PAYNE, WH Departments of Electrical Engineering and Computer Science and the Computing Center Washington State University Pullman Wash. 9916

Many cases arise in practice where a versatile hardwired pseudorandom number or pseudonoise generator would be extremely useful. General-purpose pseudonoise devices are not available today. We present a new sampling method, conditional bit sampling, which is suited for hardwired sampling devices because of its generality, simplicity, and accuracy. Random variables sampled from an arbitrary distribution are generated bit by bit from high- to low-order bits with the conditional bit algorithm. The result of a comparison of a uniform number to a conditional probability determines whether a bit in the sampled random number is set to one. The conditional probabilities are easily calculated for any probability distribution and must be arranged in special order. Simple Fortran programs make all necessary computations. Agreement between actual and theoretical performance of the conditional bit algorithm was excellent when sampling accuracy was evaluated for several examples of continuous and discrete densities. Sampling from empirically known, perhaps erratic-shaped, densities presents no problems. Only a small memory containing the conditional probabilities needs to be changed to alter the sampled distribution. The conditional bit algorithmic process always remains the same.

关键词： Conditional bit sampling cumulative density function probability density function probability distribution function pseudorandom noise pseudorandom variable sampling algorithm

来源：评论

学校读者我要写书评

暂无评论

Trust Online Over-the-air Computation for Wireless Federated Learning

引用

IEEE Transactions on Mobile computing 2025年

作者： Sun, Mingjie Zheng, Jie Du, Hongyang Zhang, Haijun Niyato, Dusit Kang, Jiawen Wang, Jiacheng Ren, Jie Gao, Ling Wang, Zheng Northwest University State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services School of Information Science and Technology Shaanxi Xian710127 China University of Hong Kong department of electrical and electronic engineering Hong Kong University of Science and Technology Beijing Institute of Artificial Intelligence Beijing100083 China Nanyang Technological University School of Computer Science and Engineering 639798 Singapore Guangdong University of Technology Automation of School Guangzhou510006 China Shaanxi Normal University School of Computer Science Xi'an710062 China University of Leeds School of Computing LS2 9JT United Kingdom

Using the wireless waveform superposition property, over-the-air computation (OAC) enables federated learning (FL) to achieve fast model aggregation. However, this computing paradigm is vulnerable to poisoning attacks due to the openness of a wireless channel over time, where malicious mobile devices can introduce cumulative errors for the global FL model in a time-varying wireless environment for each communication round. This article presents a trust online OAC (TO-OAC) scheme to minimize impacts on the global model introduced by malicious devices adjusting to dynamic attack and wireless channel fluctuations over time. TO-OAC achieves this by utilizing trustworthy security quantification of OAC for each FL training round. To optimize the cumulative training loss at the aggregation node with the long-term power and trust constraints of mobile devices, we propose a joint trust, power, and channel-aware algorithm to flexibly update local and global models in response to the dynamic changes in the wireless and secure environment. We analyze the performance limits for the aggregation of trust models, considering metrics for computation and communication through time. We then propose another trust online regularization over-the-air computation (TOR-OAC) as an improved version of the TO-OAC scheme to decrease convergence time while ensuring long-term trust and power limitation. Experimental results performed on real-life datasets show that the two proposed schemes (TO-OAC and TOR-OAC) outperform prior works, especially in noisy, time-varying wireless channels and malicious attacks. 2002-2012 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A new nano-scale authentication architecture for improving the security of human-computer interaction systems based on quantum computing

引用

Analog Integrated Circuits and Signal Processing 2025年第1期124卷 1-15页

作者： Ahmadpour, Seyed-Sajad Zohaib, Muhammad Navimipour, Nima Jafari Misra, Neeraj Kumar Rasmi, Hadi Salahov, Huseyn Avval, Danial Bakhshayeshi Navin, Ahmad Habibizad Hosseinzadeh, Mehdi Department of Computer Engineering Faculty of Engineering and Natural Sciences Kadir Has University Turkiye Istanbul Turkey Department of Electrical and Electronics Engineering Faculty of Engineering and Natural Sciences Kadir Has University Istanbul Turkey Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliou64002 Taiwan School of Electronics Engineering VIT-AP University Andhra Pradesh Amaravathi522237 India Department of Computer Engineering Dezful Branch Islamic Azad University Dezful Iran Department of Information Systems Engineering Sakarya University Türkiye Sakarya Turkey Department of Computer Engineering Tabriz Branch Islamic Azad University Tabriz*** Iran Pattern Recognition and Machine Learning Laboratory School of Computing Gachon University Seongnam Korea Republic of

Human-computer Interaction (HCI) is an interdisciplinary area of study focusing on the interaction of users and computers by scheming interactive computer interfaces. In addition, HCI systems need security to confirm user authentication, which is a crucial issue in these systems. Hence, user authentication is vital, allowing only authorized users to access data. Authentication is critical to the digital world since it provides security and safety for digital data. Moreover, a digital signature is an authentication method to confirm the accuracy and reliability of digital documents or communications. In addition, designing the circuit based on the complementary metal-oxide semiconductor (CMOS) technology can affect the security and safety of digital data due to the excessive heat dissipation of circuits. On the other hand, quantum-dot cellular automata (QCA) and reversible logic as alternative technologies to CMOS address these problems. Since QCA and reversible logic circuits have minimal energy dissipation, which is considered nearly zero, approaching these technologies proves extremely difficult for any hacker. This work presents an effective structure for the authenticator and human-computer interaction using QCA and IBM quantum computing with Qiskit simulations. The proposed structure has outperformed current circuits in terms of area, cell count, and latency. The paper demonstrates the QCA reversible logic layout of the proposed HCI authenticator and integrates IBM quantum computing simulations using Qiskit for validation. The implementation and testing of results are performed utilizing QCADesigner-2.0.3 and Qiskit simulation tools. The accuracy and efficiency of the proposed design are validated through simulation-derived comparison values, and energy dissipation simulations prove that the suggested circuit dissipates minimal energy. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Qubits

来源：评论

学校读者我要写书评

暂无评论

Privacy-Aware Joint DNN Model Deployment and Partition Optimization for Delay-Efficient Collaborative Edge Inference

arXiv

引用

arXiv 2025年

作者： Cheng, Zhipeng Xia, Xiaoyu Wang, Hong Liwang, Minghui Chen, Ning Fan, Xuwei Wang, Xianbin School of Future Science and Engineering Soochow University Suzhou215006 China School of Computing Technologies RMIT University MelbourneVIC Australia Department of Control Science and Engineering The National Key Laboratory of Autonomous Intelligent Unmanned Systems Tongji University Shanghai201804 China Frontiers Science Center for Intelligent Autonomous Systems Ministry of Education Tongji University Shanghai201804 China Qingdao China College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou350002 China Department of Electrical and Computer Engineering Western University ON Canada

Edge inference (EI) is a key solution to address the growing challenges of delayed response times, limited scalability, and privacy concerns in cloud-based Deep Neural Network (DNN) inference. However, deploying DNN models on resource-constrained edge devices faces more severe challenges, such as model storage limitations, dynamic service requests, and privacy risks. This paper proposes a novel framework for privacy-aware joint DNN model deployment and partition optimization to minimize long-term average inference delay under resource and privacy constraints. Specifically, the problem is formulated as a complex optimization problem considering model deployment, user-server association, and model partition strategies. To handle the NP-hardness and future uncertainties, a Lyapunov-based approach is introduced to transform the long-term optimization into a single-time-slot problem, ensuring system performance. Additionally, a coalition formation game model is proposed for edge server association, and a greedy-based algorithm is developed for model deployment within each coalition to efficiently solve the problem. Extensive simulations show that the proposed algorithms effectively reduce inference delay while satisfying privacy constraints, outperforming baseline approaches in various scenarios. Copyright © 2025, The Authors. All rights reserved.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Building Privacy-Preserving Medical Text Models With a Pretrained Transformer

引用

IEEE Internet of Things Journal 2025年第9期12卷 11529-11538页

作者： Shafiq, Muhammad Ren, Lijing Srivastava, Gautam Zhang, Denghui Bourouis, Sami Gadekallu, Thippa Reddy Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou511370 China Institute of Artificial Intelligence Guangdong Mechanical & Electrical Polytechnic Guangzhou510515 China Department of Math and Computer Science Brandon University BrandonMBR7A 6A9 Canada Research Centre for Interneural Computing China Medical University Taichung40402 Taiwan Centre for Research Impact and Outcome Chitkara University Institute of Engineering and Technology Chitkara University Rajpura140401 India Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou510006 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology Shandong Academy of Sciences Jinan250013 China Department of Information Technology College of Computers and Information Technology Taif University Taif21944 Saudi Arabia Division of Research and Development Lovely Professional University Phagwara144411 India Center of Research Impact and Outcome Chitkara University Rajpura140401 India

The rapid advancement of big data and artificial intelligence (AI) in healthcare heightens the urgency for accurate medical text sentiment analysis. The privacy protection of medical data has been a crucial concern due to its sensitivity. The Internet of Medical Things (IoMT) facilitates large-scale data collection at lower cost, enabling precision medicine. However, decentralized IoMT poses novel challenges to centralized standard encryption schemes. In this article, we propose a novel approach to building privacy-preserving sentiment models with a generative pretrained transformer (GPT). We first convert sensitive medical text data into noise-like and distributed one-hot images. Then, we introduce visual cryptography (VC) for lightweight and secure transmission of medical text across public networks in resource-limited IoMT devices. We adopt a cross-domain sentiment analysis framework that finetunes transformer-based language models for accurate sentiment analysis instead of training GPT in sentiment analysis from scratch. Experimental results show that the proposed approach improves the accuracy and effectiveness of sentiment analysis while maintaining privacy, thereby addressing a significant gap in biomedical text analysis. © 2014 IEEE.

关键词： Differential privacy

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：