2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE)最新文献_第9页

A Survey of Large-scale Complex Information Network Representation Learning Methods 大型复杂信息网络表示学习方法综述

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135535

Xiaoxian Zhang

引用次数: 0

Comparison and Analysis of Four Signal Detection Algorithms in Different MIMO-VLC Systems 四种信号检测算法在不同MIMO-VLC系统中的比较与分析

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135532

Chong Li, Yufeng Shao, An-rong Wang, Peng-Ying Chen, Yanlin Li, Renjie Zuo, Shuanfan Liu, J. Yuan

{"title":"Comparison and Analysis of Four Signal Detection Algorithms in Different MIMO-VLC Systems","authors":"Chong Li, Yufeng Shao, An-rong Wang, Peng-Ying Chen, Yanlin Li, Renjie Zuo, Shuanfan Liu, J. Yuan","doi":"10.1109/ICCECE58074.2023.10135532","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135532","url":null,"abstract":"In indoor high-speed visible light communication (VLC) systems, the detection sensitivities of several access signals are often affected due to the mutual interference of different light-emitting diodes (LED) emission signals and the multipath effect from different transmission channels, which hinders the wide application of multiple-input multiple-output-VLC(MIMO-VLC) technology. In this work, high speed VLC signal using 16 quadrature amplitude modulation (16QAM) modulation format is selected, and four signal detection algorithms are compared and analyzed in different MIMO-VLC systems. The results show that the bit error rate (BER) performance while suing zero forcing-successive interference cancellation (SIC-ZF) is significantly better than that of ZF and minimum mean square error (MMSE) signal detection algorithms in complex indoor environments. At the SNR $mathbf{leqslant 10dB}$ case, the value of BER in 4×6 MIMO system can reach 10−5 using SIC-ZF ignoring impacts of non-line-of-sight (NLOS) links.","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":"128848425","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

Robot Path Planning Based on Grid Map Using Improved Ant Colony Algorithm 基于改进蚁群算法的网格地图机器人路径规划

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135377

Farong Kou, Wei Xiao, H He, Kailun Hu

引用次数: 0

Visual recognition of wheel hubs with convolutional neural network 基于卷积神经网络的轮毂视觉识别

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135372

Yining Dai, Zaojun Fang, Caiming Zhong

{"title":"Visual recognition of wheel hubs with convolutional neural network","authors":"Yining Dai, Zaojun Fang, Caiming Zhong","doi":"10.1109/ICCECE58074.2023.10135372","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135372","url":null,"abstract":"The traditional recognition methods of wheel hubs are mainly based on extracted feature matching. In practical production, their accuracy, robustness and processing speed are usually greatly affected. To overcome these problems, this paper proposes a recognition method based on convolutional neural network. The basic steps include two parts: wheel image pre-processing and wheel model classification. The image processing method, mainly using the detection algorithm of hough circles, obtains the center coordinates and radius of the wheel. Then it maps the ring-shaped wheel in right-angle coordinates to polar coordinates by the center coordinates and radius. This stepcan extract the ring-shaped feature information of the wheel image and reduce the influence generated by redundant features. Then a network architecture with an improved Resnet is designed to classify the wheel models. Finally, the wheel model recognition algorithm is evaluated, and the effectiveness of the method is verified through the comparison experiments of SVM, KNN and other models. The experiments show that the recognition accuracy can reach about 99.8% for 10 kinds of wheels.","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":"129941178","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

LDAGB: A Lightweight DAG-based Blockchain LDAGB:一个轻量级的基于dag的区块链

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135476

Pengliu Tan, Shikun Wang, Ye Zhou

{"title":"LDAGB: A Lightweight DAG-based Blockchain","authors":"Pengliu Tan, Shikun Wang, Ye Zhou","doi":"10.1109/ICCECE58074.2023.10135476","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135476","url":null,"abstract":"To solve the problems of low query efficiency and high storage redundancy of traditional blockchain technology, a lightweight DAG-based blockchain (LDAGB) architecture is proposed. The block of the LDAGB architecture is called a unit, which stores a transaction, the wallet addresses of the sender and receiver of the transaction, and two parent unit hashes. When a new unit is generated, one parent unit hash value in the unit points to the current latest unit of the transaction sender (wallet address), and the other parent unit hash value points to the current latest unit of the transaction receiver (wallet address). Based on the concept of light wallets, each lightweight node stores only its own units, avoiding huge storage costs caused by data growth. In addition, a lightweight PoW consensus mechanism is used to reduce the computing cost of unit packaging, and a voting mechanism is used to avoid the possible fork of LDAGB. The experimental results show that LDAGB can significantly improve the efficiency of transaction query and verification and reduce the storage cost, compared with the traditional blockchain architecture.","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":"129978816","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

Optimization of random forest algorithm based on mixed sampling additional feature selection 基于混合采样附加特征选择的随机森林算法优化

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135433

Haobo Cui, Hongmei Xu, Jingxin Li

{"title":"Optimization of random forest algorithm based on mixed sampling additional feature selection","authors":"Haobo Cui, Hongmei Xu, Jingxin Li","doi":"10.1109/ICCECE58074.2023.10135433","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135433","url":null,"abstract":"Because of the poor performance of the Random Forest algorithm in processing the classification of high-dimensional unbalanced data, a Hybrid Samping&Feature Selection Random Forest optimization strategy (Hybrid Samping&Feature Selection Random Forest (HF_RF) is proposed in this paper. First, from the data level, the high-dimensional unbalanced data set is preprocessed by SMOTE algorithm combined with random undersampling to achieve balanced unbalanced data. At the same time, the clustering algorithm is combined with SMOTE algorithm to improve the processing ability of the algorithm for negative samples; On the algorithm level, through the Relief F algorithm, different weight values are given to the preprocessed high-dimensional data, irrelevant and redundant features are eliminated, and high-dimensional data is reduced for dimensionality; Finally, the weighted voting principle is used to further elevate the predictive performance of HF_RF. The experimental results show that compared with the traditional algorithm, the proposed algorithm has higher indicators when dealing with high-dimensional unbalanced data, which proves that the HF_RF proposed in this paper is The correctness of the algorithm and its effectiveness in improving the classification performance of high-dimensional unbalanced data.","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":"130137744","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 Energy -saving algorithm based on wireless sensors based on evolution games 基于进化博弈的无线传感器节能算法研究

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135346

Weibo Zhao, Yongwen Du, Shuai Li, Ji Ma

引用次数: 0

Design of Intelligent Control System for Wheeled Drug Spraying Robot 轮式喷药机器人智能控制系统设计

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135270

Shenglong Xu, Yuping Cui

引用次数: 0

Driving behavior recognition method based on trajectory data detected by millimeter wave radar 基于毫米波雷达检测轨迹数据的驾驶行为识别方法

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135333

Rui Zhang, Haiqing Liu

{"title":"Driving behavior recognition method based on trajectory data detected by millimeter wave radar","authors":"Rui Zhang, Haiqing Liu","doi":"10.1109/ICCECE58074.2023.10135333","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135333","url":null,"abstract":"In this paper, a multi-step vehicle driving behavior recognition method based on roadside millimeter-wave radar detecting trajectory data is proposed. The time and vehicle radial speed in trajectory data are selected as characteristic parameters. By analyzing the characteristic parameters of vehicles, different vehicle driving behaviors are classified. The proposed method marks and judges single driving behaviors, continuous driving behaviors, and complete driving behaviors in the state of RA (rapid acceleration), RD (rapid deceleration), GA (general acceleration), GD (general deceleration), and CS (constant speed) by calculating acceleration, interval time, and duration. The identification of vehicle driving behavior is completed finally. Using the vehicle trajectory data of continuous traffic flow scenarios at urban signal intersections as a sample, the established recognition method is applied for recognition and the results are compared with the actual driving behaviors of the sample. The identification results are consistent with the driving behavior reflected by the sample time-speed variation curves. It shows that the identification method proposed in this paper can effectively identify five types of driving behavior, and the accurate identification results of vehicle driving behavior have significance for traffic safety and traffic congestion improvement decision-making.","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":"130692056","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

Power data attribution revocation searchable encrypted cloud storage 电力数据归因撤销可搜索的加密云存储

2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE) Pub Date : 2023-01-06 DOI: 10.1109/ICCECE58074.2023.10135266

Jiawei Li, T. Zhang

{"title":"Power data attribution revocation searchable encrypted cloud storage","authors":"Jiawei Li, T. Zhang","doi":"10.1109/ICCECE58074.2023.10135266","DOIUrl":"https://doi.org/10.1109/ICCECE58074.2023.10135266","url":null,"abstract":"Grid business data contains a large amount of electricity data customer privacy data, serving more than 1.1 billion people, involving personnel, financial, material, assets and other ten areas of data resources. The existing grid data has the security problem of privacy leakage due to reverse analysis in the process of publishing, and the data permission is difficult to revoke. To address these problems, this paper proposes a CP-ABE (ciphertext policy attribute based encryption) cloud storage scheme with revocable attributes, which can ensure the security of attribute permissions, dynamic change of user attributes and complete protection of user privacy. The paper is based on a subset-covered attribute revocation technique, which generates a corresponding user tree for each user attribute to enable revocation of user attributes without updating the user key after revocation, reducing the corresponding computational overhead. Then, multiple attribute authorisation authorities are used to distribute and manage keys without introducing any other trusted authorities, protecting user privacy and avoiding security issues caused by a single attribute authorisation authority. Finally, a pre-decryption algorithm is designed to reduce the computational overhead of the user when decrypting. The security analysis yields that the scheme has ciphertext privacy and keyword privacy; the performance analysis finds that the scheme has low computation and communication overheads; the experimental analysis reflects that the scheme has low key storage overhead, ciphertext storage overhead and index storage overhead.","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":"114669953","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