检索结果-内蒙古大学图书馆

Efficient Path Planning for UAV Swarm Under Dense Obstacle Environment 1

International Conference on Autonomous Unmanned Systems, ICAUS 2021

作者： Li, Menglei Zhao, Chunhui Hu, Jinwen Xu, Zhao Guo, Chubing Dou, Zengfa School of Automation Northwestern Polytechnical University Xi’an710129 China School of Electronics and Information Northwestern Polytechnical University Xi’an710129 China Key Laboratory of Data Link Technology The 20th Research Institute of China Electronics Technology Group Corporation Xi’an710068 China School of Artificial Intelligence Xidian University Xi’an710071 China

ISBN: (数字)9789811694929

ISBN: (纸本)9789811694912

This paper deals with the path planning problem of unmanned aerial vehicle (UAV) swarm in the dense-obstacle environment. A novel hierarchical path planning approach with two-level structure is proposed to obtain collision-free and smooth paths for UAV swarm. In the first level, an improved particle swarm optimization (PSO) method is proposed to generate a collision-free global optimal path to determine the overall movement orientation of UAV swarm. In the second level, the improved artificial potential field (APF) combined with consensus theory is used for local path planning of each UAV in the swarm with the turning points extracted from the global optimal path obtained previously as a series of destinations under the leader-follower formation control framework. Numerical simulations are implemented to prove the validity of our proposed algorithm. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

YTCNet: A Real-time Algorithm for Parcel Damage Detection with Rich Features and Attention

YTCNet: A Real-time Algorithm for Parcel Damage Detection wi...

引用

International Conference on Computer Supported Cooperative Work in Design

作者： Zhi Chen Cuifeng Du Yuyu Zhou Haoxuan Guan Xiujie Huang Zhefu Li Changjiang Liu Xiaotian Zhuang Xingyu Zhu Quanlong Guan Jinan University Guangzhou China Guangdong-Macao Advanced Intelligent Computing Joint Laboratory China Cetc Potevio Science & Technology Co. Ltd Guangzhou China Guangdong Key Laboratory of Data Security and Privacy Preserving China Guangdong Testing Institute of Product Quality Supervision China Beijing JD Zhenshi Information Technology Co. Ltd Beijing China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

In this study, we tackle the challenge of parcel damage detection and present YTCNet to improve both accuracy and real-time performance. We enhance the Yolov5 algorithm by integrating C3TR modules into the architecture to capture more comprehensive feature information. Furthermore, we introduce the CBAM attention module to focus on critical areas in parcel images, enhancing the model’s feature extraction capabilities. By effectively combining C3TR and CBAM modules, we successfully developed an efficient parcel damage detection algorithm. Our experimental results demonstrate the superior performance of YTCNet in accuracy and real-time processing compared to various object detection models across multiple parcel damage scenarios. Our research significantly contributes to the logistics supply chain industry by aligning with IoT development. It enables practical applications to more effectively identify parcel damage, thereby enhancing customer satisfaction.

关键词： YOLO Industries Accuracy Supply chains Transportation Feature extraction Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Redundancy Reduction of Musculoskeletal Model for Robots with Group Sparse Neural Network

Redundancy Reduction of Musculoskeletal Model for Robots wit...

引用

IEEE International Conference on Control and Robotics Engineering (ICCRE)

作者： Shanlin Zhong Jinhan Zhang Xiangli Nie Chinese Academy of Sciences Institute of Automation School of Artificial Intelligence University of Chinese Academy of Science Beijing China CETC Key Laboratory of Data Link Technology Xi’an China

ISBN: (纸本)9781665412391;9781665429542

Creating robots with similar behavior and appearance to humans has been a long-term dream for roboticists. However, the highly redundant characteristic of the muscle system brings tremendous difficulty for the control and manufacture of the musculoskeletal robot. In this paper, we propose a heuristic pruning-based recurrent neural network method with group sparse regularization to reduce redundancy of muscles in musculoskeletal model, which can maintain the motion accuracy of musculoskeletal robots without activating the redundant muscles. Experiments on an upper extremity musculoskeletal model validate the effectiveness of the proposed method.

关键词： Recurrent neural networks Redundancy Neurons Muscles Robots Extremities Biological neural networks

来源：评论

学校读者我要写书评

暂无评论

A High-Speed Stable Polarization Encoder for Quantum key Distribution

A High-Speed Stable Polarization Encoder for Quantum Key Dis...

引用

Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Ju Li Zexu Wang Changlei Wang Feifei Yin Kun Xu Huaxing Xu Yitang Dai State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing China National Engineering Research Center for Public Safety Risk Perception and Control by Big Data China Academy of Electronics and Information Technology Beijing China CETC Academy of Electronics and Information Technology Group Co. Ltd. Beijing China

We report a high-speed polarization encoder which can be applied for quantum key distribution, resulting in an average bit error rate (BER) below 0.1% at a repetition frequency of 10 GHz under interference-free measur... 详细信息

ISBN: (数字)9798350372076

ISBN: (纸本)9798350372083

关键词： Frequency modulation Satellites Protocols Bit error rate Measurement uncertainty Sagnac interferometers Lasers and electrooptics

来源：评论

学校读者我要写书评

暂无评论

Maximum Ergodic Capacity of Intelligent Reflecting Surface Assisted MIMO Wireless Communication System 14th

Maximum Ergodic Capacity of Intelligent Reflecting Surface A...

引用

14th EAI International Conference on Communications and Networking in China, ChinaCom 2019

作者： Guo, Chang Lu, Zhufei Guo, Zhe Yang, Feng Ding, Lianghui Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Yichang Testing Institute of Technology Research Hubei China CETC Key Laboratory of Data Link Technology and Shanghai Microwave Research Institute Shanghai China

ISBN: (纸本)9783030411138

Intelligent reflecting surface (IRS) is currently adopted by massive multiple-input multiple-output (MIMO) systems as a new expansion scheme. It effectively copes with the increasing cost and energy consumption. In this paper, we concentrate on an IRS-assisted MIMO system, in which the base station, IRS and user are all equipped with multiple antennas. We first give the upper bound of the ergodic capacity of the system. Then we maximize this upper bound and obtain the sub-optimal phase shifts of IRS by applying semi-definite relax and Gaussian random methods. Numerical results shows the advantage of the proposed solution and the performance increase brought by multiple antennas. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Efficient Asynchronous Uplink Sensing in Perceptive Mobile Networks via Accurate Delay Estimation

引用

IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Li, Hang Teng, Fuxian Guo, Qinghua Zhang, J. Andrew Huang, Xiaojing Cheng, Zhiqun Hangzhou Dianzi University School of Electronics and Information Hangzhou310018 China Academy of Network and Communications of CETC National Key Laboratory of Advanced Communication Networks Hebei Shijiazhuang050081 China University of Wollongong School of Electrical Computer and Telecommunications Engineering WollongongNSW2522 Australia University of Technology Sydney Global Big Data Technologies Centre UltimoNSW2007 Australia

In perceptive mobile networks (PMNs) with integrated sensing and communication (ISAC), sensing ambiguity in ranging and velocity measurements can be caused by timing offsets (TOs) and carrier frequency offsets (CFOs) between asynchronous sensing transmitter and receiver. In this paper, we propose an efficient method for uplink sensing with asynchronous transceivers, via accurately estimating path delays including TOs. Firstly, we develop a sparse signal recovery model to decouple multiple sensing parameters, i.e., delay, angle of arrival (AoA) and Doppler for multipath, facilitating efficient and low-complexity sensing parameter estimation. Then, leveraging unitary approximate message passing (UAMP) and sparse Bayesian learning (SBL), we obtain initial delay and signal estimates, which are then refined through Gauss-Seidel iteration. Finally, we conduct estimation and association of the remaining sensing parameters by coherently processing cross-correlation of received signals across the spatial and temporal domains. This effectively removes the sensing ambiguity incurred by time-varying TOs and CFOs, enabling accurate estimation of range and velocity for multiple targets. Simulation results verify the effectiveness of the proposed method, demonstrating its superior sensing performance, compared to existing methods such as cross-antenna cross correlation (CACC). © 2015 IEEE.

关键词： Frequency allocation

来源：评论

学校读者我要写书评

暂无评论

A New Multi-Receiver Authentication Scheme for General Access Structure

A New Multi-Receiver Authentication Scheme for General Acces...

引用

IEEE International Symposium on Information Theory

作者： Jing Yang Shu-Tao Xia Xianfang Wang Can Xiang Fang-Wei Fu Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen Guangdong China CETC Cyberspace Security Technology Co. Ltd. Beijing China College of Mathematics and Informatics South China Agricultural University Guangzhou Guangdong China Tianjin Key Laboratory of Network and Data Security Technology Chern Institute of Mathematics and LPMC Nankai University Tianjin China

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

At present, existing multi-receiver authentication (MRA) schemes can only handle situations where the capabilities of all receivers are the same. However, in reality, different receivers may need to have different storage capabilities. In this paper, inspired by the secret sharing scheme based on the Chinese Remainder Theorem (CRT) for polynomial rings where distinct participants save shares with distinct sizes, we propose a new unconditionally secure MRA scheme for multiple messages by the same technique. As far as we know, our MRA scheme is the first MRA scheme with different storage capacities for different receivers and the first one based on the CRT for polynomial rings supporting general access structures. In contrast to the existing general MRA scheme, although our MRA scheme has more communication complexity, it has less computation complexity.

关键词： Structural rings Authentication Receivers Cathode ray tubes Polynomials Cryptography Computational complexity

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Based Single-Channel Blind Separation of Co-frequency Modulated Signals 14th

Deep Learning Based Single-Channel Blind Separation of Co-fr...

引用

14th EAI International Conference on Communications and Networking in China, ChinaCom 2019

作者： Chen, Chen Lu, Zhufei Guo, Zhe Yang, Feng Ding, Lianghui Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Yichang Testing Institute of Technology Research Yichang443003 China Shanghai Microwave Research Institute and CETC Key Laboratory of Data Link Technology Shanghai200063 China

ISBN: (纸本)9783030411138

This paper presents our results in deep learning (DL) based single-channel blind separation (SCBS). Here, we propose a bidirectional recurrent neural network (BRNN) based separation method which can recover information bits directly from co-frequency modulated signals after end-to-end learning. Aiming at the real-time processing, a strategy of block processing is proposed, solving high error rate at the beginning and end of each block of data. Compared with the conventional PSP method, the proposed DL separation method achieves better BER performance in linear case and nonlinear distortion case with lower computational complexity. Simulation results further demonstrate the generalization ability and robustness of the proposed approach in terms of mismatching amplitude ratios. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Spatial Correlation Metric for OTA Testing of mmWave Beamforming Arrays in SS-MPAC Setups

Spatial Correlation Metric for OTA Testing of mmWave Beamfor...

引用

IEEE Globecom Workshops

作者： Xiaoli Yang Nan Ma Fei Yu Jianqiao Chen BUPT State Key Laboratory of Networking and Switching Technology Beijing China CETC Key Laboratory of Data Link Technology Xi’an China

ISBN: (数字)9781728173078

ISBN: (纸本)9781728173085

Over-the-air (OTA) testing of millimeter-wave (mmWave) devices are expected to be essential in the development of the fifth-generation (5G) user equipment (UE). As a potential OTA test method, the simple-sectored multi-probe anechoic chamber (SS-MPAC) can provide target fading propagation environment for the device under test (DUT). The test system performance metric that is key to mmWave beamforming arrays performance should be selected in SS-MPAC. Therefore, in this paper, the spatial correlation metric is discussed to evaluate the OTA system performance for test the arrays that use the hybrid beamforming technology. In addition, the key design parameters of SS-MPAC are found by simulations with this metric. The results with the utilized two 3D channel models indicate that at 28 GHz, the same two linear arrays (with four elements) can be tested with a length of measurement distance of 1 m and with at minimum forty active dual polarized probes.

关键词： Measurement Antenna measurements Correlation Array signal processing 5G mobile communication Length measurement Probes

来源：评论

学校读者我要写书评

暂无评论

Double-Blinded Finder: A Two-Side Privacy-Preserving Approach for Finding Missing Children 3rd

Double-Blinded Finder: A Two-Side Privacy-Preserving Approac...

引用

3rd EAI International Conference on Robotic Sensor Networks, ROSENET 2019

作者： Jin, Xin Ge, Shiming Song, Chenggen Li, Xiaodong Lei, Jicheng Wu, Chuanqiang Yu, Haoyang Beijing Electronic Science and Technology Institute Beijing China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China Institute of Information Engineering Chinese Academy of Sciences Beijing China OracleChain Technology Beijing China CETC Big Data Research Institute Co. Ltd. Guizhou China

ISBN: (纸本)9783030460310

Posting photos of suspected missing children on the street and posting them to social networks can help find missing children, but posting them to the Internet without protection may create privacy issues. In order to solve this problem, we propose Double-Blinded Finder, which is mainly used for low-dimensional multi-attribute matching of children’s face and blind face to find missing children and has high efficiency. To obtain enough knowledge for representing child faces, we build the Labeled Child Face in the Wild dataset, which contains 60K Internet images with 6K unique identities. We use this dataset to train a multitasking deep learning facial model, using a 128-dimensional feature vector and age and gender attributes to describe the child’s face. Due to the use of the face descriptor generation key, facial photos from the social network and facial information from the parents of the missing child are encrypted. In addition, we devise inner-production encryption to run blind face matching in the public cloud. In this manner, Double-Blinded Finder can provide efficient face matching while protecting the privacies of both sides: 1) Suspicious missing children in order to avoid human rights violations, 2) The real missing child is to retain the second victim. Experiments show that our system can achieve the actual performance of children’s face matching, and privacy leakage is negligible. © 2021, Springer Nature Switzerland AG.

关键词： Deep learning

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：