2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)最新文献_第6页

An Electronic Voting Scheme Based on FOO Protocol 基于FOO协议的电子投票方案

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/aemcse50948.2020.00040

Hongquan Pu, Z. Cui, Ting Liu, Jintao Rao

引用次数: 0

Design and Implementation of a Single-Phase Bipolar SPWM Inverter Power Supply Based on STM32 基于STM32的单相双极SPWM逆变电源的设计与实现

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00140

Jieling Lei, J. Sa

引用次数: 1

Development Analysis and Performance Test of High Power IGBT Technology 大功率IGBT技术的发展分析与性能测试

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00195

Yong Tang, Bo Wang, Yonghong Chen

引用次数: 0

A Random Walk Equilibrium Optimization Algorithm 一种随机游走均衡优化算法

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00012

Juan Zhao, Z. Gao

引用次数: 5

Evaluation of Safe Driving Behavior of Transport Vehicles Based on K-SVM-XGBoost 基于K-SVM-XGBoost的运输车辆安全驾驶行为评价

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00026

X. Wang, X. Lou, S. Hu, S. He

{"title":"Evaluation of Safe Driving Behavior of Transport Vehicles Based on K-SVM-XGBoost","authors":"X. Wang, X. Lou, S. Hu, S. He","doi":"10.1109/AEMCSE50948.2020.00026","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00026","url":null,"abstract":"In recent years, the total number of transport vehicles in China is increasing by a large margin, strengthening traffic safety management to effectively prevent accidents has become the focus of traffic research. The driver as the operator of vehicle, its driving behavior is the most important factor affecting the traffic safety. Therefore, it is of great significance to study driving behavior to prevent traffic accidents and promote the development of intelligent traffic and driving assistance system. Based on the data of the Internet of vehicles, this paper builds a SVM-based driving behavior health evaluation model, which extracts the feature values to obtain the optimal classification hyperplane, and then uses the geometric interval as the evaluation index of driving behavior health. At the same time, taking driving behavior, road, efficiency, energy saving and weather factors with different weights into consideration, it divides driving behavior into four levels: excellent, average, qualified and unqualified level, based on KMeans and SVM, and then XGBoost training model is used. The experiment concluded that the average accuracy is 99.21% and the average recall rate is 98.5%. These results proved that the model is effective and feasible.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114749900","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: 2

A Novel Defected Ground Structure Broadband Bandstop Filter Using Complementary Split-Ring Resonators 一种基于互补分环谐振器的新型缺陷地结构宽带带阻滤波器

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00177

Hua Liu

引用次数: 1

Surgical Workflow Recognition Using Two-Stream Mixed Convolution Network 基于双流混合卷积网络的外科工作流程识别

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00064

Yuan Ding, Jingfan Fan, Kun Pang, Heng Li, Tianyu Fu, Hong Song, Lingfeng Chen, Jian Yang

{"title":"Surgical Workflow Recognition Using Two-Stream Mixed Convolution Network","authors":"Yuan Ding, Jingfan Fan, Kun Pang, Heng Li, Tianyu Fu, Hong Song, Lingfeng Chen, Jian Yang","doi":"10.1109/AEMCSE50948.2020.00064","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00064","url":null,"abstract":"Surgical workflow recognition is the prerequisite for automatic indexing of surgical video databases and optimization of real-time operating scheduling, which is an important part of the modern operating room (OR). In this paper, we propose a surgical phase recognition method based on a two-stream mixed convolutional network (TsMCNet) to automatically recognize surgical workflow. TsMCNet optimizes the visual and temporal features learned from surgical videos by integrating 2D and 3D convolutional networks (CNNs) to form a spatio-temporal complementary architecture. Specifically, temporal branch (3D CNN) is responsible for learning the spatio-temporal features among adjacent frames, whereas the parallel visual branch (2D CNN) is focused on capturing the deep visual features of each frame. Extensive experiments on a public surgical video dataset (MICCAI 2016 Workflow Challenge) demonstrated outstanding performance of our proposed method, exceeding that of state-of-the-art methods (e.g., 86.2% accuracy and 83.0% F1 score).","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121784070","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: 3

The Design of S-box Based on Combined Chaotic Map 基于组合混沌映射的s盒设计

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/aemcse50948.2020.00082

Jing Liu, X. Tong, Miao Zhang, Zhu Wang

引用次数: 1

Denoising Algorithm for CT oral Image Based on Bayesian Threshold and Non-Local Mean 基于贝叶斯阈值和非局部均值的CT口腔图像去噪算法

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00069

Zhihong Luo, Yong Yin, S. Bi

{"title":"Denoising Algorithm for CT oral Image Based on Bayesian Threshold and Non-Local Mean","authors":"Zhihong Luo, Yong Yin, S. Bi","doi":"10.1109/AEMCSE50948.2020.00069","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00069","url":null,"abstract":"Wavelet transform is widely used in speech and image denoising. In the process of oral CT image acquisition, because of the noise caused by imaging principle, human environment and transmission process, it will affect the accuracy of later CT image processing and reconstruction. Therefore, image denoising is an essential part of the CT image preprocessing stage. This paper presents a new Bayesian multi-threshold wavelet transform denoising algorithm. In this method, different thresholds are selected in different generations and directions, and the generated thresholds are used to process the high-frequency coefficients. At the same time, the low-frequency coefficients after wavelet transform are processed with a non-local mean algorithm. Finally, in view of the disadvantages of the traditional soft and hard threshold functions, an improved threshold function is adopted. Compared with bilateral filtering, non-local mean filtering and bilateral filtering algorithms combined with wavelet changes, this method not only improves the peak signal-to-noise ratio and structural similarity, but also makes the image clearer.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129939514","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

Base on the Design and Implementation of the Quality Control System of Food Antioxidant Vitamins C 基于食品抗氧化维生素C质量控制系统的设计与实现

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00014

Hairui Zhang, Helin Ye, Li Zhang, Lian Li

{"title":"Base on the Design and Implementation of the Quality Control System of Food Antioxidant Vitamins C","authors":"Hairui Zhang, Helin Ye, Li Zhang, Lian Li","doi":"10.1109/AEMCSE50948.2020.00014","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00014","url":null,"abstract":"Vitamin C is a common food additive whose main function is antioxidant. So the quality of vitamin C is directly related to the safety of food. This paper based on the analysis and inspection methods and items of national standards implemented by chemical (GB14754-2010). A set of automatic processing system for quality analysis and insepection data of food antioxidant vitamin C was designed by using Access and Visual Basic, intelligent management was carried out for each link. And the data of analysis and inspection are uploaded to the network and saved in time, which establishes a networked service platform for information sharing for user, enterprises and quality management departments. It guarantees the reliability and authenticity of the product measurement results, greatly improve the data processing speed, reduces the production cost, and has good economic benefits, social benefits, public welfare benefits and practical application value. It's a great innovation that in the management methods and means of vitamin C product quality analysis and inspection.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129322629","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