2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)最新文献_第3页

5G UE Network Slicing based on SDK Implementation and Field Test 基于SDK实现的5G UE网络切片及现场测试

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00034

Shuzhen Chen, Pinghui Chen, Hai Huang, Zu-Xin Wu, Minwei Yang, Nuoya Zhang, Lei Wang

引用次数: 0

A Novel DCT-based Just Noticeable Difference Model for Videos Based on Structure Complexity 一种基于结构复杂度的基于dct的视频刚显差异模型

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00033

Hanxiao Xue, Wenfei Wan, Shengyun Wei

引用次数: 0

Research on Mongolian acoustic model based on BLSTM-CTC for Inner Mongolia Electric Power 基于BLSTM-CTC的内蒙古电力蒙声模型研究

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00012

Tuya Li, Yaoting Han, Xiaoyu Chen, Sha Li, Yiming Zhao, Shasha Su

{"title":"Research on Mongolian acoustic model based on BLSTM-CTC for Inner Mongolia Electric Power","authors":"Tuya Li, Yaoting Han, Xiaoyu Chen, Sha Li, Yiming Zhao, Shasha Su","doi":"10.1109/cniot55862.2022.00012","DOIUrl":"https://doi.org/10.1109/cniot55862.2022.00012","url":null,"abstract":"In terms of intelligent voice customer service of Inner Mongolia Electric Power, there are a large number of Mongolian speakers. The Mongolian speech recognition in it mainly applies Q&A mode which uses sentences for realizing human-machine dialogue. However, in the process of training the Mongolian acoustic model based on deep neural network-hidden markov model (DNN-HMM), the fragment information of Mongolian speech is mainly applied because of different lengths of speech sentences, it ignores integrity of speech sentences. In this regard, this paper proposes a Mongolian acoustic model based on Bi-directional Long Short-Term Memory-Connectionist Temporal Classification (BLSTM-CTC), which unifies length of input sentences and models complete sentences by inserting BLANK features and labels. The results of comparison experiment of speech recognition between BLSTM-CTC and DNN-HMM shows lower word error rate and sentence error rate of speech recognition based on BLSTM-CTC, especially in later, with reduces by 3.57% and 4.09% respectively. That indicates modeling ability of BLSTM-CTC, especially the modeling ability for sentences, is obviously higher than the DNN-HMM.","PeriodicalId":251734,"journal":{"name":"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130898015","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

An intelligent data analysis system for fault diagnosis of marine monitoring sensors 用于船舶监测传感器故障诊断的智能数据分析系统

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00044

Shiyao Zhao, Miaomiao Song, Yunlu Liu, Shuting Liu, Jianjia Zheng, Sijia Wang, Peng Tai, Ziliang Jiang

引用次数: 0

Research on key technologies of mobile crowd sensing for privacy-preserving 移动人群感知隐私保护关键技术研究

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00013

Hezhe Wang

引用次数: 0

Distance Measuring System Based on STM89C52 Single Chip Computer and Ultrasound Sensor 基于STM89C52单片机和超声传感器的距离测量系统

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00029

Xianpei Luo, Ronghao Yang, Weijing Yao

引用次数: 0

Research and implementation of an efficient incremental synchronization method based on Timestamp 基于时间戳的高效增量同步方法的研究与实现

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00035

Yueren Sun

引用次数: 1

Design and application analysis of a novel tendon-drive flexible endoscope 新型肌腱驱动柔性内窥镜的设计与应用分析

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00038

Qiqi Pan, Hongbo Wang, Jingjing Luo, Fuhao Wang, Wenke Duan, Jiawei Wang, Kangkang Fei, Xiuhong Tang

{"title":"Design and application analysis of a novel tendon-drive flexible endoscope","authors":"Qiqi Pan, Hongbo Wang, Jingjing Luo, Fuhao Wang, Wenke Duan, Jiawei Wang, Kangkang Fei, Xiuhong Tang","doi":"10.1109/cniot55862.2022.00038","DOIUrl":"https://doi.org/10.1109/cniot55862.2022.00038","url":null,"abstract":"In this paper, a four-degree-of-freedom flexible endoscope based on tendon drive is proposed, which overcomes the disadvantage of insufficient flexibility at the end of the traditional endoscope, and provides a wider surgical visual field at the same time. This paper focuses on the study of its driving principle and control method. The designed flexible endoscope consists of a flexible arm and a drive box. The flexible segment is composed of 12 skeleton units in each series. The drive box, whose compact body makes the control process more flexible, controls the tightness of the wire through the bidirectional scrolls. Using the model with constant curvature, the motion principle of the flexible endoscope was studied, the mapping relationship among the drive space, the virtual joint space and the workspace was calculated. The drive control system design and drive algorithm programming of the flexible endoscope were completed, and the circular motion and linear motion of the end effector was realized. After experimental verification, the error of the master-slave control accuracy of the end of the four-degree-of-freedom flexible endoscope is less than 3 mm, the workspace is more than 100% larger than that of the traditional endoscope, and the maximum bending angle can reach 140°, realizing the advantage of a larger surgical visual field.","PeriodicalId":251734,"journal":{"name":"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134048895","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 point cloud registration algorithm for the fusion of virtual and real maintainability test prototypes 一种虚拟与真实可维护性测试原型融合的点云配准算法

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00015

Xiaolei Shen, Z. Ge, Quanqin Gao, Haiyang Sun, Xiaoan Tang, Q. Cai

{"title":"A point cloud registration algorithm for the fusion of virtual and real maintainability test prototypes","authors":"Xiaolei Shen, Z. Ge, Quanqin Gao, Haiyang Sun, Xiaoan Tang, Q. Cai","doi":"10.1109/cniot55862.2022.00015","DOIUrl":"https://doi.org/10.1109/cniot55862.2022.00015","url":null,"abstract":"In the virtual-real fusion maintainability test scenario, the point cloud registration of maintenance equipment should meet the online real-time requirements and accuracy requirements, so as to provide a good foundation for virtual-real fusion of equipment. To this end, this paper deeply studies the point cloud registration algorithm based on virtual and real fusion. Firstly, the RGBD depth camera is used to collect depth images and color images of objects (spatial and temporal filtering to remove noise), convert it into point cloud data through the camera’s internal parameters, sampling the CAD (computer aided design) model of the test prototype as a model point cloud. Combined with the internal shape descriptor algorithm (ISS) to collect the feature points of the physical point cloud and the CAD model point cloud, using OpenMP multi-core and multi-thread parallel to accelerate the calculation of normal and calculate the unique shape context (USC) descriptor; Then, sample consensus initial aligment algorithm (SAC-IA) is used to coarsely register the virtual and real point clouds to obtain the initial pose; Finally, iterative nearest point (ICP) algorithm based on point-to-surface is used for precise registration. The experimental results prove that the algorithm of this paper has high efficiency, the point cloud coincidence degree after registration is high, and the error is reduced by nearly one order of magnitude compared with other algorithms, which can provide better algorithm support for virtual and real maintenance field.","PeriodicalId":251734,"journal":{"name":"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)","volume":"115 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120825560","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

Chinese License Plate Recognition Algorithm Based On UNet3+ 基于UNet3+的中国车牌识别算法

2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT) Pub Date : 2022-05-01 DOI: 10.1109/cniot55862.2022.00018

Menghu Li, Fei Ren, Zhonglin Zhang, Yong Long, Jinquan Zeng

{"title":"Chinese License Plate Recognition Algorithm Based On UNet3+","authors":"Menghu Li, Fei Ren, Zhonglin Zhang, Yong Long, Jinquan Zeng","doi":"10.1109/cniot55862.2022.00018","DOIUrl":"https://doi.org/10.1109/cniot55862.2022.00018","url":null,"abstract":"With the development of intelligent transportation system, license plate recognition technology plays an increasingly important role in our life, and many related technologies have been proposed. However, most of these algorithms have a low success rate in detecting large Angle vehicle images in complex background. In this paper, we propose a Chinese license plate recognition algorithm based on UNet3+ to solve the problem of low license plate recognition rate in large-angle scenarios. The algorithm detects license plate position from three scales to improve the accuracy of license plate position recognition. At the same time, we propose a new loss function to enhance the boundary information of license plate. Finally, on the basis of the Chinese City Parking Dataset (CCPD) Dataset, we added the large Angle vehicle pictures we collected to construct a new Chinese license plate Dataset containing 30,000 images, and increased the amount of data through various data enhancement technologies. Experimental results show that our algorithm is effective in large Angle license plate recognition in complex scenes, and the accuracy rate reaches 94.3%.","PeriodicalId":251734,"journal":{"name":"2022 3rd International Conference on Computing, Networks and Internet of Things (CNIOT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117283542","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