检索结果-内蒙古大学图书馆

Potential Transmission Choice for Internet of Things(IoT):Wireless and Batteryless Communications and Open Problems

China Communications 2021年第2期18卷 241-249页

作者： Zhan Xu Guanjie Hu Minzheng Jia Lan Dong School of Information and Communication Engineering and with Key Laboratory of Modern Measurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityChina Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijingChina Department of Information Engineering Beijing Polytechnic CollegeBeijingChina

The 5th generation mobile communications aims at connecting everything and future Internet of Things(IoT)will get everything smartly *** realize it,there exist many *** key challenge is the battery problem for small devices,such as sensors or *** backscatter,also referred to as or battery-free backscatter,is a new potential technology to address this *** early and typical type of batteryless backscatter is ambient ***,batteryless backscatter utilizes environmental wireless signals to enable battery-free devices to communicate with each *** devices first harvest energy from ambient wireless signals and then backscatter these signals so as to transmit their own *** paper reviews the current studies about batteryless backscatter,including various backscatter schemes and theoretical works,and then introduces open problems for future research.

关键词： batteryless backscatter battery-free channel state information(CSI) channel estimation multiple antennas signal detection symbiotic communication

来源：评论

学校读者我要写书评

暂无评论

Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology

arXiv

引用

arXiv 2022年

作者： Huang, Yan Sun, Ying Zhu, Zehan Yan, Changzhi Xu, Jinming College of Control Science and Engineering Zhejiang University Hangzhou China School of Electrical Engineering and Computer Science The Pennsylvania State University PA16802 United States

We develop a general framework unifying several gradient-based stochastic optimization methods for empirical risk minimization problems both in centralized and distributed scenarios. The framework hinges on the introduction of an augmented graph consisting of nodes modeling the samples and edges modeling both the inter-device communication and intra-device stochastic gradient computation. By designing properly the topology of the augmented graph, we are able to recover as special cases the renowned Local-SGD and DSGD algorithms, and provide a unified perspective for variance-reduction (VR) and gradient-tracking (GT) methods such as SAGA, Local-SVRG and GT-SAGA. We also provide a unified convergence analysis for smooth and (strongly) convex objectives relying on a proper structured Lyapunov function, and the obtained rate can recover the best known results for many existing algorithms. The rate results further reveal that VR and GT methods can effectively eliminate data heterogeneity within and across devices, respectively, enabling the exact convergence of the algorithm to the optimal solution. Numerical experiments confirm the findings in this paper. Copyright © 2022, The Authors. All rights reserved.

关键词： Lyapunov functions

来源：评论

学校读者我要写书评

暂无评论

TS-CGNet: Temporal-Spatial Fusion Meets Centerline-Guided Diffusion for BEV Mapping

arXiv

引用

arXiv 2025年

作者： Hong, Xinying Li, Siyu Zeng, Kang Shi, Hao Peng, Bomin Yang, Kailun Li, Zhiyong The College of Computer Science and Electronic Engineering Hunan University Changsha410082 China The School of Robotics The National Engineering Research Center of Robot Visual Perception and Control Technology Hunan University Changsha410082 China The State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang University Hangzhou310027 China

Bird’s Eye View (BEV) perception technology is crucial for autonomous driving, as it generates top-down 2D maps for environment perception, navigation, and decision-making. Nevertheless, the majority of current BEV map generation studies focusing on visual map generation lack depth-aware reasoning capabilities. They exhibit limited efficacy in managing occlusions and handling complex environments, with a notable decline in perceptual performance under adverse weather conditions or low-light scenarios. Therefore, this paper proposes TS-CGNet, which leverages Temporal-Spatial fusion with Centerline-Guided diffusion. This visual framework, grounded in prior knowledge, is designed for integration into any existing network for building BEV maps. Specifically, this framework is decoupled into three parts: Local mapping system involves the initial generation of semantic maps using purely visual information;The Temporal-Spatial Aligner Module (TSAM) integrates historical information into mapping generation by applying transformation matrices;The Centerline-Guided Diffusion Model (CGDM) is a prediction module based on the diffusion model. CGDM incorporates centerline information through spatial-attention mechanisms to enhance semantic segmentation reconstruction. We construct BEV semantic segmentation maps by our methods on the public nuScenes and the robustness benchmarks under various corruptions. Our method improves 1.90%, 1.73%, and 2.87% for perceived ranges of 60×30m, 120×60m, and 240×60m in the task of BEV HD mapping. TS-CGNet attains an improvement of 1.92% for perceived ranges of 100×100m in the task of BEV semantic mapping. Moreover, TS-CGNet achieves an average improvement of 2.92% in detection accuracy under varying weather conditions and sensor interferences in the perception range of 240×60m. The source code will be publicly available at https://***/krabs-H/TS-CGNet. Copyright © 2025, The Authors. All rights reserved.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

A Non-Iterative LMI-Based Design of Static Output Feedback control with $\mathcal{L}_{2}$ Gain Performance for Linear Systems

A Non-Iterative LMI-Based Design of Static Output Feedback C...

引用

International Conference on Electrical, control and Instrumentation engineering (ICECIE)

作者： Hidetoshi Oya Daiki Asada Shunya Nagai Kazushi Nakano Department of Computer Science Tokyo City University Tokyo Japan Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Department of Electronics and Control Engineering National Institute of Technology (KOSEN) Niihama College Ehime Japan Graduate School of Informatics and Engineering The University of Electro-Communications Tokyo Japan

In this paper, we present a new LMI-based non-iterative design strategy for static output feedback controllers with $\mathcal{L}_{2}$ Gain Performance for linear systems. In our approach, on the basis of the well-know... 详细信息

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

In this paper, we present a new LMI-based non-iterative design strategy for static output feedback controllers with $\mathcal{L}_control$ Gain Performance for linear systems. In our approach, on the basis of the well-known necessary and sufficient condition for the existence of the static output feedback control for linear systems, the non-iterative LMI-based design procedure for the proposed static output feedback controller is derived. In this paper, we show the LMI-based non-iterative design procedure for static output feedback controllers with $\mathcal{L}_control$ Gain Performance and the effectiveness of the proposed static output feedback control is presented through a simple illustrative example.

关键词： Linear systems Sufficient conditions Instruments Interconnected systems control systems Output feedback Gain

来源：评论

学校读者我要写书评

暂无评论

Leveraging 3D blendshape for facial expression recognition using CNN

引用

Science China(Information Sciences) 2020年第2期63卷 101-103页

作者： Sa WANG Zhengxin CHENG Xiaoming DENG Liang CHANG Fuqing DUAN Ke LU College of Artificial Intelligence Beijing Normal University Bejing Key Laboratory of Human-Computer Interactions Institute of Software Chinese Academy of Sciences School of Computer and Control Engineering University of Chinese Academy of Sciences

Dear editor,Recently, facial expression recognition (FER) has drawn increasing attention owing to its widespread application in many fields such as human-machine interaction, assistive healthcare, psychology, and onli... 详细信息

关键词： image Leveraging 3D blendshape for facial expression recognition using CNN

来源：评论

学校读者我要写书评

暂无评论

ShadowNets: Efficient and Accurate Face Recognition for Resource-Constrained Devices

ShadowNets: Efficient and Accurate Face Recognition for Reso...

引用

Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Inzela Mirza Shahzaib Iqbal Bandar Alhaqbani Bandar AlShammari Tariq Khan Imran Razzak TCC Research and Development Labs Technology Control Company Riyadh Saudi Arabia Department of Computing Abasyn University Islamabad Campus(AUIC) Islamabad Pakistan Computer and Information Sciences College Jouf University Saudi Arabia School of Computer Science and Engineering University of New South Wales Sydney Australia

ISBN: (数字)9798350379037

ISBN: (纸本)9798350379044

Over recent years, deep convolutional neural networks have advanced the field of face recognition in both verification and identification applications. In this paper, we present ShadowNets, a highly efficient and compact face recognition network. We employed multiple shadow blocks in a cascading manner where the output of each shadow block is given as the input to the next shadow block. By integrating the advantages of Focal Modulation Blocks, Shadow Block and Ghost Modules, our proposed ShadowNets achieves superior face recognition performance, optimized specifically for edge devices. This network architecture not only minimizes computational costs and storage needs but also delivers high accuracy, making it suitable for deployment in edge environments. Our extensive experiments on challenging benchmark face datasets showcase the outstanding performance by achieving accuracy 98.85% on LFW, 84.37% on CFP-FP, and 91.23% on AgeDB-30 which validates the effectiveness of ShadowNets over state-of-the-art lightweight and deep face recognition models.

关键词： Training Performance evaluation Accuracy Image recognition Face recognition Computational modeling Modulation Benchmark testing Robustness Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

SVD based scale transform invariant observable degree for LTI system

引用

Science China(Information Sciences) 2021年第3期64卷 246-248页

作者： Quanbo GE Peng ZHUO Hongli HE Zhentao HU Zhansheng DUAN Junzhi YU Shenzhen Institute of Guangdong Ocean University School of Automation Hangzhou Dianzi University Test Institute Chinese Flight Test Establishment College of Computer and Information Engineering Henan University The Center for Information Engineering Science Research Xi'an Jiaotong University State Key Laboratory of Complex System Management and Control Institute of AutomationChinese Academy of Sciences

Dear editor,The basic concept of observability is used to express the possibility to recover the state from measurements in modern control theory [1–3]. It is a qualitative parameter,which cannot reflect the observable degree(OD) ability [4,5].Therefore, the OD is presented to quantitatively obtain the function. The quantitative parameter is effective for indicating the exact degree of estimation ability.

关键词： observability matrix observable degree singular value decomposition scale transform invariance linear system linear relation

来源：评论

学校读者我要写书评

暂无评论

Multivariable Dynamic Performance Seeking control of Civil Turbofan Engine*

Multivariable Dynamic Performance Seeking Control of Civil T...

引用

International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Kai Peng Zhaorong Zhang Hongxia Wang Huanshui Zhang The School of Power and Energy Northwestern Polytechnical University Xi'an China The School of Computer Science and Technology Shandong University Qingdao China The College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China The School of Control Science and Engineering Shandong University Jinan Shandong China

ISBN: (数字)9798331518493

ISBN: (纸本)9798331518509

As regards gas turbine engine control, how to achieve the optimal performance of engine within multiple control and physical constraints in real time is a sticky problem to be solved. A novel multivariable optimal control architecture is proposed to compensate engine into a pseudo-linear system by using the nonlinear dynamic inverse and the constrained optimization, and then linear feedback controller is used for control synthesis. At each sampling instant, a real-time linearized model of engine is applied to reduce computational complexity. The simulation results show the resultant control system of civil turbofan engine has good decoupling and tracking response.

关键词： Simulation Optimal control computer architecture Aerodynamics Real-time systems Adaptive control Engines Optimization Turbines Robots

来源：评论

学校读者我要写书评

暂无评论

High-Altitude Pedestrian Detection Based on Improved YOLOv3 1

引用

6th International Conference on Data Mining and Big Data, DMBD 2021

作者： Tian, Qing Cao, Pengfei Fan, Haoyi Hu, Rong Li, Zuoyong School of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China University of Sevilla Sevilla Spain School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou350121 China

ISBN: (数字)9789811674761

ISBN: (纸本)9789811674754

As one of the main tasks in the field of computer vision, pedestrian detection aims to find out all pedestrians in the image or video. The existing YOLOv3 is a relatively mature object detection method. However, for the long-distance pedestrian detection task in high-altitude scenes, YOLOv3 has the limitations of low detection speed and low detection accuracy. This paper proposes an improved YOLOv3 method briefly called YOLOv3-M for the high-altitude pedestrian detection, which replaces the feature extraction module called darknet53 in YOLOv3 with MobileNetv1. Specifically, YOLOv3-M first constructs the dataset with the small objects of high-altitude pedestrians as the detection object. Then, it uses the K-means + + algorithm to re-cluster the high-altitude pedestrian dataset. Next, it uses the Distance Intersection over Union (DIoU) loss function to alleviate the problem of high-altitude pedestrian overlapping. Experimental results show that the proposed YOLOv3-M improves the detection precision and the detection speed compared to YOLOv3. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Remotely controllable Data Self-Destruction for Privacy-Preserving Sensitive Data Services

Remotely Controllable Data Self-Destruction for Privacy-Pres...

引用

IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Chengxin Zhou Xianbin Xue Khaled Riad Yan Zhu William Cheng-Chung Chu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China North Navigation Control Technology Co. Ltd. Beijing China College of Computer Science & Information Technology King Faisal University Saudi Arabia School of Computer & Communication Engineering University of Science and Technology Beijing Beijing China Department of Computer Science Tunghai University Taichung Taiwan

This paper address a comprehensive solution to address data privacy and security challenges in data science, providing secure self-destruction of sensitive data, confidentiality through encryption, and flexible control over message destruction. Based on outsourcing cloud data services, we introduce a cloud retrograde storage (CRS) system for privacy-preserving self-destruction of sensitive data. The CRS is based on a frequently colliding hash table and recycle pool, and supports remote time, count, and range control. Hereby, we provide a remotely controllable mechanism for the prompt destruction of inactive messages against digital forensics without reducing the availability of services. The method used in the CRS involves storing messages in a recycle pool, where they are automatically erased at the end of their validity period or after being viewed by all recipients. The system also incorporates encryption and decryption processes to ensure confidentiality. The result of performance evaluation shows that the CRS effectively handles the destruction of messages and provides secure data removal from storage pools. The experiments demonstrate the efficiency and practicality of the CRS for large-scale data services.

关键词：

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：