检索结果-内蒙古大学图书馆

5th IEEE International Conference on Electronics technology, ICET 2022

作者： Lu, Shihang Su, Zhengyu Liao, Kaisheng Li, Chao Xiao, Zhuoling Yan, Bo Lin, Shuisheng Wu, Bo University of Electronic Science and Technology of China Science and Technology on Electronic Information Control Laboratory National Key Laboratory of Science and Technology on Blind Signal Processing School of Information and Communication Engineering China

ISBN: (纸本)9781665485081

Receiver plays a vital role in various electronic countermeasure systems and has always been a hot topic to research. Based on the traditional receiver digital channelization structure, this paper further researches and derives the high-efficiency digital channelization structure based on polyphase discrete Fourier transform corresponding to various application scenarios. Then we design a 256-sub-channel digital channelization system and implement it on a 64-channel parallel digital down converter to verify the structure. The system design relies on system on chip as the platform, and we verify the feasibility of it on field programmable gate array. © 2022 IEEE.

关键词： System-on-chip

来源：评论

学校读者我要写书评

暂无评论

Automatic skin lesion classification using a novel densely connected convolutional network integrated with an attention module

引用

Journal of Ambient Intelligence and Humanized Computing 2023年第7期14卷 8943-8956页

作者： Shan, Pufang Chen, Jialei Fu, Chong Cao, Lin Tie, Ming Sham, Chiu-Wing School of Computer Science and Engineering Northeastern University Shenyang110819 China Engineering Research Center of Security Technology of Complex Network System Ministry of Education Shenyang China Key Laboratory of Intelligent Computing in Medical Image Ministry of Education Northeastern University Shenyang110819 China School of Information and Communication Engineering Beijing Information Science and Technology University Beijing100101 China Science and Technology on Space Physics Laboratory Beijing100076 China School of Computer Science The University of Auckland Auckland New Zealand

Automated skin lesion classification in dermoscopy images remains challenging due to the existence of artefacts and intrinsic cutaneous features, diversity of lesion morphology, insufficiency of training data, and class imbalance problem. To address these challenges, we propose a new densely connected convolutional network termed AttDenseNet-121, which is obtained by integrating the convolutional block attention module (CBAM) into DenseNet-121. CBAM is a simple yet efficient attention module, which is further improved by adding a novel pooling layer (multiscale-pooling) to effectively enhance its attention capability. The optimized CBAM strengthens the representation power of DenseNet-121 by emphasizing meaningful features and suppressing unnecessary ones, thus significantly enhancing the classification performance. Besides, to handle the imbalanced dataset, we employ an improved focal loss function rather than the traditional cross-entropy loss function to train AttDenseNet-121. The improved focal loss is calculated from a different perspective compared with the original focal loss. It makes the distribution of positive samples and negative samples in each batch the same as that in the original data, successfully mitigating the negative influence of class imbalance on this multi-class classification task. We conduct extensive experiments on the public benchmark dataset (HAM10000) and the results indicate that our proposed method achieves superior performance compared with that of the baselines and state-of-the-art algorithms. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Ultra-Wideband Spectrum Monitoring Using Software Defined Radio 22

Ultra-Wideband Spectrum Monitoring Using Software Defined Ra...

引用

22nd IEEE International Conference on communication technology, ICCT 2022

作者： Zhu, Huijie Chen, Binhui Wang, Yiteng Wang, Lijun Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9781665470674

This paper presents an ultra-wideband spectrum monitoring system using a software defined radio platform. The system has been developed by using an Ettus X310 universal software radio peripheral (USRP) for data acquisition and a laptop for displaying the graphical user interface. The system can operate in two modes with two different daughter boards installed. One of the operation modes allows simultaneously monitoring up to two different channels, each with a maximum sampling bandwidth of 200 MHz, or simultaneously monitoring up to four different channels, each with a maximum sampling bandwidth of 100 MHz. The other operation mode allows monitoring a single channel with a maximum sampling bandwidth exceeding 300 MHz. Furthermore, unlike the widely adopted GNU Radio software, the proposed system software is friendly to the Microsoft Windows operating system. © 2022 IEEE.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Edge Node Cooperation and Resource Sharing in Mobile Edge Computing 15

Edge Node Cooperation and Resource Sharing in Mobile Edge Co...

引用

15th IEEE International Conference on Wireless communications and Signal Processing, WCSP 2023

作者： Meng, Anqi Gao, Xiaozheng Huang, Yuting Xu, Zhan Shang, Jiadong Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing China Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Information and Communication Systems Beijing China Beijing Institute of Technology School of Information and Electronics Beijing China Beijing Institute of Remote Sensing Equipment Beijing China

ISBN: (纸本)9798350324662

As edge computing undergoes ongoing development propelled by the advancements in Internet of Things and mobile communication technologies, the issue of edge node cooperation and resource sharing needs to be investigated. In this paper, the issue of edge node cooperation and resource sharing is modeled as a two-layer framework. In the lower layer, a heuristic matching algorithm between users and edge nodes is developed, and a resource sharing algorithm among edge nodes in the same coalition is proposed. In the upper layer, a coalition formation algorithm is designed based on the coalition game. Simulation results show that the proposed algorithms reduce the network cost effectively compared with non-cooperative scheme. © 2023 IEEE.

关键词： coalition game mobile edge computing resource sharing

来源：评论

学校读者我要写书评

暂无评论

Research on development method of an artificial intelligent decision-making system 8

Research on development method of an artificial intelligent ...

引用

8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Chen, Hai-Xia Zhang, Zi-Hao Kong, Xiao-Ling Sun, Yu-Xin Science and Technology on Electro-Optical Information Security Control Laboratory Airport Economic Zone Tianjin300308 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

An artificial intelligent decision-making system based on Deep Q Network is developed according to the characteristic of the optoelectronic countermeasures for defense. In view of the high complexity of the input state variables of the system, simulation method is used to sift the state variables so as to reduce the input dimension of the network. In addition, simulation method is used to generate enough samples for the network training. Aiming at the adaptability evaluation of the system, evolutionary evaluation index is designed and simulation method is used to evaluate the adaptability of online learning ability of the system. © 2022 SPIE

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Uplink security Analysis of Hybrid RF-FSO Cooperative Satellite-Aerial-Terrestrial Networks

Uplink Security Analysis of Hybrid RF-FSO Cooperative Satell...

引用

2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Ma, Yuanyuan Xu, Zhan Tian, Lu Zhi, Ruxin Ding, Xuhui Bu, Xiangyuan Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9798350370218

This work investigates the secrecy outage per-formance of the uplink transmission of hybrid radio-frequency (RF)-free-space optical (FSO) cooperative satellite-aerial-terrestrial network (SATN). Specifically, we adopt most popular content wireless caching scheme at aerial relay, while a group of eavesdropping aerial terminals (Eves) try to over-hear the confidential information. In particular, considering the transmit antenna selection (TAS) at the source and the maximal ratio combining (MRC) at the aerial relay, and the randomness of satellite receiver, relay, and Eves, the secrecy outage performance of the cooperative uplink transmission in the considered SATN is investigated and a closed-form analytical expression for the end-to-end secrecy outage probability (SOP) is derived. Finally, Monte-Carlo simulations are shown to verify the accuracy of our analysis. © 2023 IEEE.

关键词： radio-frequency (RF)-free-space optical (FSO) satellite-aerial-terrestrial network (SATN) secrecy outage prob-ability (SOP) uplink transmission wireless caching

来源：评论

学校读者我要写书评

暂无评论

Interference Coordination technology of Ultra Dense Deployment Based on Clustering Algorithm 5

Interference Coordination Technology of Ultra Dense Deployme...

引用

5th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2023

作者： Wang, Haoyuan Tian, Yue Li, Wenda Xiamen University of Technology Fujian Key Laboratory of Communication Network and Information Processing Xiamen China University College London Department of Security and Crime Science London United Kingdom

ISBN: (纸本)9798350333442

A clustering algorithm based Ultra Dense Deployment is proposed to address the problem of establishing a reasonable interference model and allocating ABS reasonably to minimize interference and maximize throughput in Ultra Dense Deployment. By analyzing the distribution pattern of low-power nodes in Ultra Dense Deployment, the interference generated by the cluster center is used to replace the interference of other nodes in the class. According to the principle of interference minimization, a distributed allocation scheme for ABS time slots based on K-means clustering is proposed, and a polling algorithm is used for user scheduling. Simulation results show that compared with the generalized interference model and traditional binary models, the interference calculation is more accurate, The throughput of the system is also higher. © 2023 IEEE.

关键词： K-means clustering

来源：评论

学校读者我要写书评

暂无评论

Transformer based Online Continuous Multi-Target Tracking with State Regression 12

Transformer based Online Continuous Multi-Target Tracking wi...

引用

12th IEEE International Conference on control, Automation and information sciences, ICCAIS 2023

作者： Wei, Xinwei Chen, Linxiu Zhang, Chenyu Lin, Yiru Zhang, Linao Liu, Xiaokai Jiang, Jixiang Yi, Wei University of Electronic Science and Technology of China School of Information and Communication Engineering China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory China University of Electronic Science and Technology of China Research Institute of Electronic Science and Technology China

ISBN: (纸本)9798350328783

Multi-target Tracking (MTT) is the process of processing received measurements to maintain estimates of the current status of multiple targets, with important applications to autonomous driving, aerial reconnaissance, underwater operations, and others. In the model-based setting, Bayesian filtering can provide the theoretical optimal estimate in a single target scenario. However, in complex situations, uncertain factors such as changes in the number of targets will cause the amount of calculation to increase exponentially, resulting in a decline in tracking accuracy. To solve that problem, model-free methods based on deep-learning provide an attractive alternative, especially the state-of-the-art architecture Transformer based encoder-decoder prediction model, which outperforms the Bayesian filters in the single frame prediction tasks. However, when switching to continuous tracking, these algorithms need to be trained separately frame by frame to adapt to the new tasks. Still, there is no correlation between their predictions from different frames, which prevents them from fully utilizing all the measurements. In this paper, we propose an end-to-end Transformer based MTT method with state autoregression, which allows the model to have the capability of online continuous tracking and make total use of the entire trajectory. The results show that the proposed model is a great extension from single-frame prediction to online continuous tracking. © 2023 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

The Anti-Interference Algorithm of BPSK Spread Spectrum Signal Based on Generative Adversarial Networks 7

The Anti-Interference Algorithm of BPSK Spread Spectrum Sign...

引用

7th International Conference on Signal and Image Processing, ICSIP 2022

作者： Han, Yu Zhang, Minghong Shen, Lei Wang, Lijun The 36th Research Institute of China Electronics Technology Group Corporation Science and Technology on Communication Information Security Control Laboratory Jiaxing China Hangzhou Dianzi University School of Communication Engineering Hangzhou China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

In order to avoid the problem of unsatisfactory anti-jamming effect when the interference feature extraction of traditional anti-jamming algorithm is inaccurate, this paper takes BPSK spread spectrum signal as the research object, and proposes an anti-jamming algorithm for BPSK spread spectrum signal based on generative adversarial network. The algorithm firstly despreads the spread spectrum signal, and then images the despread signal, and uses the known disturbed despread signal set and undisturbed signal set for network training. The mapping relationship between the disturbed despread signal image and the undisturbed despread signal image is constructed by generative adversarial network, so as to achieve the purpose of interference suppression. Experiments show that the signal anti-jamming algorithm based on generative adversarial network proposed in this paper has better interference suppression ability than the frequency-domain notch anti-jamming algorithm under multi-tone interference and narrow-band noise interference. © 2022 IEEE.

关键词： Frequency domain analysis

来源：评论

学校读者我要写书评

暂无评论

A Novel Evaluation Strategy to Artificial Neural Network Model Based on Bionics

引用

Journal of Bionic Engineering 2022年第1期19卷 224-239页

作者： Sen Tian Jin Zhang Xuanyu Shu Lingyu Chen Xin Niu You Wang School of Mathematics and Statistics Hunan Normal UniversityChangsha410081China College of Information Science and Engineering Hunan Normal UniversityChangsha410081China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China Key Laboratory of Industrial Control Technology Zhejiang UniversityHangzhou310058China Science and Technology on Parallel and Distributed Laboratory College of ComputerNational University of Defense TechnologyChangsha410199China Key Laboratory of Industrial Control Technology Institute of Cyber Systems and ControlZhejiang UniversityHangzhou310027China

With the continuous deepening of Artificial Neural Network(ANN)research,ANN model structure and function are improving towards diversification and ***,the model is more evaluated from the pros and cons of the problem-solving results and the lack of evaluation from the biomimetic aspect of imitating neural networks is not inclusive ***,a new ANN models evaluation strategy is proposed from the perspective of bionics in response to this problem in the ***,four classical neural network models are illustrated:Back Propagation(BP)network,Deep Belief Network(DBN),LeNet5 network,and olfactory bionic model(KIII model),and the neuron transmission mode and equation,network structure,and weight updating principle of the models are analyzed *** analysis results show that the KIII model comes closer to the actual biological nervous system compared with other models,and the LeNet5 network simulates the nervous system in ***,evaluation indexes of ANN are constructed from the perspective of bionics in this paper:small-world,synchronous,and chaotic ***,the network model is quantitatively analyzed by evaluation indexes from the perspective of *** experimental results show that the DBN network,LeNet5 network,and BP network have synchronous *** the DBN network and LeNet5 network have certain chaotic characteristics,but there is still a certain distance between the three classical neural networks and actual biological neural *** KIII model has certain small-world characteristics in structure,and its network also exhibits synchronization characteristics and chaotic *** with the DBN network,LeNet5 network,and the BP network,the KIII model is closer to the real biological neural network.

关键词： Artificial neural network(ANN) Back Propagation(BP)network Deep Belief Network(DBN) LeNet5 network Olfactory bionic model(KIII model) Small world Chaos Synchronous

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：