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检索条件"任意字段=6th International Conference on Soft Computing and Signal Processing, ICSCSP 2023"

共 113 条记录，以下是41-50 订阅

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Design and Implementation of Real-time signal processing Heterogeneous System for Unmanned Platform

Design and Implementation of Real-time Signal Processing Het...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Xinyu Liu Cheng Jiang Song Yang Bibo Zhu Zhichao Zhao Hangzhou Applied Acoustics Research Institute Hangzhou China

With the development of platform technology and sensor technology, unmanned platforms are widely used in underwater operations, and the functional requirements are gradually increasing with the application scenarios, which also put forward higher requirements for computing performance. In this paper, a real-time signal processing heterogeneous cooperative system based on DSP and FPGA is designed. DSP is used as the main processor to schedule multiple subordinate FPGA processors to complete heterogeneous multitask high-speed signal processing tasks. In order to verify the feasibility, this paper implements the real-time signal processing application of underwater unmanned platform imaging algorithm based on this architecture. the experiment shows that the DSP-FPGA heterogeneous collaborative processing framework can effectively implement the imaging algorithm, complete the online real-time signal processing and output, meet the requirements of low delay, high-speed parallel real-time signal processing of the unmanned platform, and verify the reliability of the system in the actual lake test.

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An Empirical Study on Neural Networks Pruning: Trimming for Reducing Memory or Workload 5

An Empirical Study on Neural Networks Pruning: Trimming for ...

引用

5th international conference on Data-Driven Optimization of Complex Systems, DOCS 2023

作者： Xiao, Kaiwen Cai, Xiaodong Xu, Ke School of Artificial Intelligence Anhui University Hefei China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Hefei China

ISBN: (纸本)9798350393521

Most of existing studies on neural network pruning only consider memory-based pruning strategies. However pruning for computational workload is often more important in hardware deployments due to a greater focus on model computation reductions. In addition, most pruning schemes restore model accuracy during pruning at the expense of adding hyperparameters, extending training time and training complexity. this work proposes a statistical-based globally soft iterative pruning scheme. With little extra calculation, an extremely sparse model can be obtained without additional hyperparameters and extended training time. Moreover, this work proposes the concept of computational intensity to balance model memory and computational workload during pruning. Focusing on memory orientated pruning, we can achieve 303×, 100× and 25× parameter compression on LeNet-5 (MNIST), VGG (CIFAR-10) and AlexNet (ImageNet) models, respectively. In particular, combined with cluster quantization, the LeNet-5 model parameters can be compressed to 3232×. Focusing on workload orientated pruning, we can reduce the computation by 7}.6× on the AlexNet model, without accuracy loss, significantly higher than prior work. In addition, in order to verify the versatility of the pruning method, we also migrate the pruning task to the object detection and implement 10× parameter compression and 2.8× computation compression for YOLOv2 with reduced mAP within 1%. © 2023 IEEE.

关键词： Iterative methods

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UAV Passive Location Model Based on Azimuth Optimization Algorithm

UAV Passive Location Model Based on Azimuth Optimization Alg...

引用

6th international conference on Intelligent computing and signal processing (ICSP)

作者： Zhaofeng Zhang Siyuan Wang Rui Liu Jingjin Wu Faculty of Science and Technology BNU- HKBU United International College Zhuhai China

To solve the problem of passive localization in Unmanned Aerial Vehicles (UAV) formation, a UAV passive localization model based on formation azimuth optimization algorithm is proposed. By solving the equation based on the formation characteristics, the model can achieve relatively accurate positioning and adjustment of the UAV with position deviation in the formation. this paper demonstrates the specific model and adjustment steps of the method in the scenario of 15 UAVs cone-shaped formation and 10 UAVs circular formation, and the simulation and error analysis of the model are carried out. According to the analysis, the positioning accuracy is obviously improved after optimization, which proves that the method is feasible.

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Research on risk assessment method of road risk grade assessment

Research on risk assessment method of road risk grade assess...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Shaoxin Pu Chang’an Dublin International College of Transportation at Chang’an University Xi’an China

this article studies big data technology, analyzes the relationship between various factors of urban road traffic and the occurrence of traffic accidents, and establishes a prediction model based on this. By collecting and processing a large amount of traffic data, including traffic flow, speed, weather, and other information, and combining historical traffic accident records, a prediction model based on machine learning was constructed. the model can monitor road traffic conditions in real time and predict the probability of traffic accidents. In addition, we have also verified and evaluated the model, proving its accuracy and practicality. this research contributes to improving the efficiency of traffic management and road safety, and has important practical significance.

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A Decision Tree based Detection method for DSSS signal under jamming environment

A Decision Tree based Detection method for DSSS signal under...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Yihan Zun Songhu Ge Yu Guo Ying Kang Hao Wu National Key Laboratory of Electromagnetic Energy Naval University of Engineering Wuhan China

Aiming at the problem that the detection of direct sequence spread spectrum (DSSS) signal under the jamming signals with different bandwidths, a detection method for DSSS signal based on decision tree is proposed in this paper. First, features are extracted as detection statistics based on cepstrum and time-domain cross-correlation, respectively. And then the decision tree is used to make the detection decision by comparing the detection statistics with the predefined thresholds. After that, the optimal thresholds are determined through a global search algorithm, and the optimal thresholds are used for DSSS signal detection. the simulation results demonstrate that when the interference to signal ratio (ISR) is -1dB, the probability of detection reaches 95%.

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Research on Task Offloading Decision Based on Improved SAC Algorithm

Research on Task Offloading Decision Based on Improved SAC A...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Xuan Zhang Xiaohui Hu Suhong Li Department of Electronics & Information Engineering Lanzhou Jiaotong University Lanzhou China

ISBN: (数字)9798350376548

ISBN: (纸本)9798350376555

To improve the user experience in a multi-user multi-edge server system, this paper propose a task offloading algorithm based on soft Actor-Critic (SAC) and Federated Learning (FL), named FLSAC. this algorithm fully considers the requirements of delay-sensitive tasks, the resource utilization of edge servers, energy and memory limitations. FLSAC adopts a continuous offloading strategy and sets the weighted average of all users' delay, total energy consumption, and task offloading rate as the user cost. With the goal of minimizing user costs, each task's data offloading percentage is used as the learning target to better meet the needs of delay-sensitive tasks. Experimental results show that compared with Twin Delayed Deep Deterministic Policy Gradient (TD3) and Proximal Policy Optimization (PPO), FLSAC's user total cost decreases by 13.3% and 38.6%, respectively, with good stability and convergence. At the same time, edge computing networks have good scalability, alleviating the problem of insufficient generalization caused by data scarcity in some edge computing servers in practical use. Finally, this paper analyze the time complexity of FLSAC.

关键词： Energy consumption Costs Federated learning Scalability signal processing algorithms User experience Stability analysis Servers Time complexity Edge computing

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Convolutional neural network-based signal discrimination for P300 brain-computer interface

Convolutional neural network-based signal discrimination for...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Yongzhi Liao Liumei Zhang Yaoxin Wang School of Computer Science Xi’an Shiyou University Xi’an China

the P300-based brain-machine interface can achieve efficient communication between human brain and computer, and help physically disabled people achieve autonomous control of external devices. In this paper, we propose a convolutional neural network-based signal detection method, which includes signal pre-processing, construction and training of convolutional neural network, and testing and performance evaluation of the model. this paper conducts experimental validation on dataset II of the 3rd BCI competition and compares it with some traditional machine learning methods and deep learning methods. the test accuracy of the experimental results reaches 0.85 and the AUC reaches 0.93, which indicates that the method has significantly improved in classification accuracy and model performance, and has high practicality and application prospects.

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Research on processing method of Ultra Wide Band radar echo signal

Research on processing method of Ultra Wide Band radar echo ...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Zhen Yang Meile Yang Lei Han School of Electrical and Control Engineering Liaoning Technical University Huludao China

Ultra Wide Band radar life detection technology has been widely used in life detection in various scenes because of its high life detection accuracy, but it is difficult to extract vital signs in the process of echo signal processing because of scene ***, a research on the processing method of UWB radar echo signal is *** mean band-pass filter is used to remove and enhance the background noise of vital signs in UWB echo signal, and the vital signs signal is located by combining energy moment calculation. In order to improve the accuracy of vital sign signal extraction, and according to the linear characteristics of vital sign signals, an adaptive EWT algorithm is proposed by combining Pearson correlation coefficient with high computational efficiency and EWT algorithm with strict mathematical basis and no modal aliasing and endpoint effect problem, then the located vital sign signals are further filtered and extracted by this ***, the effectiveness of the proposed method is verified by experiments.

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Image rendering algorithm based on handwritten signature cell modulation 6

Image rendering algorithm based on handwritten signature cel...

引用

6th international conference on Intelligent computing, Communication, and Devices, ICCD 2023

作者： Lijun, Wang Peng, Cao Beijing Institute of Graphic Communication Beijing Key Laboratory of Signal and Information Processing for High-end Printing Equipment Beijing China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

Contraposing to the problems in image features, grayscale tone performance and artistic effect expression of artistic style rendering technology in simulating handwritten signature to draw character portrait, this paper designs an algorithm to automatically generate portrait by imitating hand painted. Firstly, in order to solve the difference between contour and background in expression, a filtering model based on Sobel operator optimization is proposed to obtain the line texture and contour of the original image as reference, segment the input target image into contour image and background image. Secondly, the background stippling is generated on the basis of the weighted Voronoi algorithm, the stippling is modulated with handwritten signature cells to generate a background image under the definition of signature cells. Among them, after constraining the distribution of cells with the coordinates of the points, the dimension and direction jitter are performed. the size of each cell is changed according to the gray-level integration of Voronoi unit, and the direction adjustment is based on the texture features of the image. Finally, the fusion of contour image and background image is realized by using the local spatial invariance. the experimental results show that compared with the artistic portrait drawn by hand-painted, the image generated by this algorithm not only maintains the original characteristics of the target image, but also achieves similar artistic expression effect. As the product of art digitization, it can be used for miniature printing image, and has unique application value in printing information for anti-counterfeiting. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Cells

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A Portable Pulse signal Generator for Photoelectric Detection System

A Portable Pulse Signal Generator for Photoelectric Detectio...

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6th international conference on Intelligent computing and signal processing (ICSP)

作者： Yanli Chen Xinjian Tan Zongjing Lv Haitao Li Junhong Liu Fuli Wei Xiao Liu Xiaoping Ouyang Northwest Institute of Nuclear Technology National Key Laboratory of Intense Pulsed Radiation Simulation and Effect Xi’an China Northwest Institute of Nuclear Technology Xi’an China

this paper presents the design of a simple portable large pulse signal generator, which is used to drive high-brightness LED luminescence and provide analog strong light source for photoelectric detector, so as to check the working state of system in pulse radiation measurement. this design is based on programmable CPLD device and two-stage drive circuit to generate single pulse signal with adjustable pulse width and amplitude manually. the prototype with the advantages of small volume, light weight, large output signal amplitude and low cost, which has been successfully applied in strong pulse radiation measurement for large-scale equipment such as accelerator.

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