2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)最新文献_第3页

Individual Identification of OFDM Signal Radiation Source Based on Depth Adaptive Wavelet Network 基于深度自适应小波网络的OFDM信号辐射源个体识别

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135400

Gaohui Liu, Wentao Yu

引用次数: 0

Power Data Operation Effectiveness Analysis Based on Multi-dimensional Analysis 基于多维度分析的电力数据运行有效性分析

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135252

Zhidong Deng, Yanyan Li, Wei Xing, Mingjie Zhang, Jian Gong

{"title":"Power Data Operation Effectiveness Analysis Based on Multi-dimensional Analysis","authors":"Zhidong Deng, Yanyan Li, Wei Xing, Mingjie Zhang, Jian Gong","doi":"10.1109/ICCECE58074.2023.10135252","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135252","url":null,"abstract":"To reduce the absolute error of the effectiveness of power data operation analysis, build a more stable and multivariate analysis structure, and maximize the reliability of the overall analysis results, a new power data operation effectiveness analysis method based on multi-dimensional analysis is designed. Set up nodes and collect data. Design equivalent analysis links according to the amount of data, adopt the multi-dimensional analysis method, construct multi-dimensional data operation effectiveness analysis sovereignty model, and combine with directional processing mechanism to realize the power data operation effectiveness analysis. The test results show that compared with the traditional multi-mechanism data operation effectiveness analysis test group and the traditional data sovereignty operation effectiveness analysis test group, the absolute error of the effectiveness analysis of the multi-dimension analysis method is smaller, and the error value is only 1. This analysis method is more reliable and accurate in dealing with data operation and has practical application value.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125875437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Security Survey of NFV: From Causes to Practices NFV的安全调查:从原因到实践

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135454

Gang He, Xingxing Liao, Caixia Liu

引用次数: 0

ACRE: An Advanced CAN Signal Reverse Engineering Scheme 一种先进的CAN信号逆向工程方案

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135185

Ke Yang

{"title":"ACRE: An Advanced CAN Signal Reverse Engineering Scheme","authors":"Ke Yang","doi":"10.1109/ICCECE58074.2023.10135185","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135185","url":null,"abstract":"As modern vehicles become more exposed to the outside world, many efforts have been made to enhance the security of in-vehicle Controller Area Network(CAN). These efforts are facing significant challenges, because the CAN signals that store the driving status of vehicle are encoded into specific format, thus preventing researchers from understanding its meaning. Unfortunately, the Database CAN(DBC) file that contain these encoding patterns are kept strictly confidential by the car manufacturer. Currently, many work has been conducted to reverse engineer CAN signals. However, through our experiments, these studies have shown highly inaccuracy in identifying the boundary of CAN signals. In this paper, we propose ACRE, an advanced CAN signal reverse engineering scheme based on a novel metric of adjacent-bit changing rate (ACR). With ACR, ACRE automatically segments CAN data field. Inspired by ACR, we further present Diagonal-bit Changing Rate (DCR) to determine the endianness of CAN signal, thus accomplishing signal extraction and signedness discrimination. Verified by real-world dataset and corresponding DBC, ACRE achieves 100% coverage, and its vehicle-series compatibility have been proven by extensive experiments on 4 datasets of real car.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128182443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Research on Traffic Sign Recognition Algorithm Based on Improved YOLOv5 Model 基于改进YOLOv5模型的交通标志识别算法研究

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135475

Tiande Liu, Changlei Dongye, Xingzhao Jia

{"title":"The Research on Traffic Sign Recognition Algorithm Based on Improved YOLOv5 Model","authors":"Tiande Liu, Changlei Dongye, Xingzhao Jia","doi":"10.1109/ICCECE58074.2023.10135475","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135475","url":null,"abstract":"Traffic sign detection is an important research direction in target detection. At present, the detection problem of small target traffic signs exists, therefore, a traffic sign detection algorithm based on YOLOv5s model is constructed, and some important improvements are proposed to solve the small target detection problem. In order to ensure lightweight, YOLOv5s model is selected, and a small target prediction head is added to detect small targets. Fuse module is proposed to supplement shallow information to the backbone network to increase the ability of small target detection. BIFPN idea is used and improved to solve the problems of network depth degradation and shallow information deficiency. Finally, the Loss function is improved, and Varifocal Loss function is used to improve the problem of unbalanced positive and negative samples. The experimental results show that the detection effect of the proposed algorithm is increased by 7.7% compared with the original algorithm, and the experimental results on multiple datasets show obvious improvement effect. This is a lightweight model that works well in the field of traffic sign detection.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127527601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

SAC-IA Algorithm Based on Parallel KD-Tree Search and Improved Feature Point Selection 基于并行kd树搜索和改进特征点选择的SAC-IA算法

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135352

Wei Wei

{"title":"SAC-IA Algorithm Based on Parallel KD-Tree Search and Improved Feature Point Selection","authors":"Wei Wei","doi":"10.1109/ICCECE58074.2023.10135352","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135352","url":null,"abstract":"In recent years, with the rapid development of autonomous driving and intelligent robots, point cloud stitching technology has attracted people's attention. At present, the sampling consistency initial registration algorithm is often used for coarse registration of point clouds, but this algorithm has problems such as large randomness in feature point selection and low search efficiency. this paper proposes a feature point selection method considering the relationship between coordinate distance and spatial similarity, which prevents the occurrence of local optimization by setting the distance threshold, and uses the FPFH to calculate the spatial feature similarity relationship between the source point cloud and the target point cloud point pair. The randomly selected feature pairs with similar spatial characteristics are saved to ensure that the selected point pairs are overlapping as much as possible, which is conducive to the solution of rotation matrix and translation vector. By comparing the registration results of the traditional algorithm, it is concluded that the error of the proposed algorithm is reduced by 15.70%. In addition, the KD-Tree parallel technology based on OpenMP is also used to greatly improve the search efficiency of the corresponding point.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130818156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A 3D reconstruction algorithm based on spatial geometry constraint assisted phase structured light combined with camera parameters 基于空间几何约束辅助相位结构光结合相机参数的三维重建算法

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135283

Ruhui Guo, Liangwei Cai, Yuan Xu

{"title":"A 3D reconstruction algorithm based on spatial geometry constraint assisted phase structured light combined with camera parameters","authors":"Ruhui Guo, Liangwei Cai, Yuan Xu","doi":"10.1109/ICCECE58074.2023.10135283","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135283","url":null,"abstract":"Multi-frequency temporal phase unwrapping methods can unwrap phase wrapping well, but need to capture more additional images. Therefore, the measurement speed of this method is relatively slow, and it is not suitable for scenarios with high speed requirements. This paper proposes a 3D reconstruction algorithm based on spatial geometric constraints assisted phase-based structured light combined with camera parameters. This method uses the spatial geometric constraints of the camera and projector to construct a reference absolute phase to expand the phase wrapping. The method has the advantages of simple hardware, good robustness, short measurement time and high precision. Experiments show that under the same conditions, the method proposed in this paper is similar to the multi-frequency time-phase expansion method in the measurement accuracy of two standard spheres with different diameters, but the measurement time of the method in this paper has decreased. The average measurement time of 6.0085mm and 6.0077mm standard balls decreased by 32.64% and 33.16%, respectively. Therefore, the method proposed in this paper can promote the development of structured light in terms of speed and low cost.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129226687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monocular depth estimation based on Chained Residual Pooling and Gradient Weighted Loss 基于链式残差池化和梯度加权损失的单目深度估计

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135509

Jiajun Han, Zhengang Jiang, Guanyuan Feng

{"title":"Monocular depth estimation based on Chained Residual Pooling and Gradient Weighted Loss","authors":"Jiajun Han, Zhengang Jiang, Guanyuan Feng","doi":"10.1109/ICCECE58074.2023.10135509","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135509","url":null,"abstract":"In recent years, the self-supervised monocular depth estimation task in the field of autonomous driving has achieved remarkable results. The brightness consistency assumption is adopted to guide network training, The image brightness needs to be kept constant in adjacent frames. However, this assumption does not apply to laparoscopic scenarios, where the intensity of light for the same tissue changes over time during surgery. In addition, the defined receptive fields in laparoscopy lead to low utilization of structured cues, the predicted depth map performs poorly on the tissue contour when the laparoscopic frame is fed into the depth estimation network. In this work, aiming at the problem of luminance consistency, it is proposed to integrate the second-order gradient of the image and the second-order gradient of the parallax map into the photometric reconstruction error to guide the network. In view of the problem of the low utilization rate of laparoscopic image context clues, the following clues are weighted in the decoder part of the network to improve the reuse of low-resolution feature maps for tissue contour clues. Experiments were performed on the SCARED dataset, and new losses and new modules were put into the network separately to train to verify their effectiveness, the results showed good performance on all four commonly used indicators.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116234094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research on positionless control of mining high force energy density permanent magnet direct drive integrated machine based on improved sliding mode observer 基于改进滑模观测器的矿用高力能密度永磁直驱一体机无位置控制研究

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135368

Sen Wang, Nan Chen, Zijian Jia, Daili Liang, Yanhui Xiao, W. Yu, Wenshuo Wang, Lei Wang, Yuqin Zhu, Li Zhang, Hao Liu, Zhanyang Yu, Jianmin Du

引用次数: 0

Network-Coding-Based Content Sharing for Mobile Devices via Multiple Relays of WiFi Direct 基于网络编码的WiFi Direct多中继移动设备内容共享

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135442

Kangyong Yin, Haosheng Huang, Hongwu Xiao, Wei Liang, Zhongwei Sun, Lei Wang

{"title":"Network-Coding-Based Content Sharing for Mobile Devices via Multiple Relays of WiFi Direct","authors":"Kangyong Yin, Haosheng Huang, Hongwu Xiao, Wei Liang, Zhongwei Sun, Lei Wang","doi":"10.1109/ICCECE58074.2023.10135442","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135442","url":null,"abstract":"Sharing content, such as video, with others via personal mobile devices has become more and more popular. However, it tends to incur extremely high traffic fee to share large files in commercial networks. In this paper, we propose an efficient network-coding-based content sharing scheme (NCCSS) for mobile devices via WiFi Direct. When the file owner wants to share a file to others, it equally splits the file into multiple pieces, and then linearly encodes the pieces into segments with random linear network coding (RLNC). After that, it switches itself to an access point (AP), and waits to accept request from other devices. For each device in the network, it connects to the AP, and requests linearly independent segments. After it has received a fixed number of encoded segments, it switches itself to a new AP to enlarge the coverage of sharing. By strategically switching devices between the AP mode and ordinary mode, all devices could receive sufficient segments and recover the original file. NCCSS was evaluated in a real-world testbed consisting of 20 mobile devices. The experimental results show that compared to the traditional replication-based transmission scheme and erasure-coding-based transmission scheme, NCCSS could provide higher sharing rate.","PeriodicalId":120030,"journal":{"name":"2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122823002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0