2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)最新文献

Dynamics Analysis of Railway Piggyback Transportation Vehicle in Piggyback Transportation System 铁路背驮式运输车辆在背驮式运输系统中的动力学分析

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00044

Chen Li, Yinchuan He

引用次数: 0

Electricity Consumption Forecasting Based on PC-CNN-BiLSTM Combined with Layered Transfer Learning Strategy 结合分层迁移学习策略的PC-CNN-BiLSTM用电量预测

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00133

Fulian Ouyang, Jun Wang, Hang Zhou

引用次数: 1

A Novel End-to-End Visual Odometry Framework Based on Deep Neural Network 一种基于深度神经网络的端到端视觉里程计框架

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00115

Yinan Wang, Rongchuan Cao, Yingzhou Guan, Xiaoli Zhang

{"title":"A Novel End-to-End Visual Odometry Framework Based on Deep Neural Network","authors":"Yinan Wang, Rongchuan Cao, Yingzhou Guan, Xiaoli Zhang","doi":"10.1109/ICCEAI55464.2022.00115","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00115","url":null,"abstract":"Most of the current visual odometry (VO) methods are designed based on a set of standard procedures, including camera calibration, feature extraction, feature matching (or tracking), motion estimation, local optimization, etc. Though some of these methods excel in accuracy and robustness, they usually require careful design and specific fine-tuning to ensure performance in different scenarios. Also, recovering the absolute scale of the monocular VO usually requires some prior knowledge. In this paper, we propose an end-to-end framework based on U-Net and deep recurrent neural networks (RNNs) for training and deployment, which directly estimates poses from a sequence of raw RGB images without using any modules of the conventional VO system and thus without fine-tuning the parameters of the VO system. Also, no prior knowledge of the scene is necessary in our method. To solve the problem that current deep learning methods only predict poses between frames, we first use U-Net to automatically learn effective feature representations for VO, and then utilize RNN to implicitly model sequence dynamics and relationships. This method makes full use of the context information of sequence frames to achieve accurate and robust VO localization. Experimental results show the superiority of our method compared with several widely used VO methods.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115204683","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

Analysis of Traffic Characteristics of Dynamic Open Hard Shoulder Road Based on SUMO 基于SUMO的动态开放硬肩道路交通特性分析

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00029

Zhang Zhigang, Peng Rui, Qiao Jiangang

{"title":"Analysis of Traffic Characteristics of Dynamic Open Hard Shoulder Road Based on SUMO","authors":"Zhang Zhigang, Peng Rui, Qiao Jiangang","doi":"10.1109/ICCEAI55464.2022.00029","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00029","url":null,"abstract":"In order to alleviate the congestion of expressway, based on Jingxiong expressway, the expressway traffic flow model is constructed by SUMO software. The secondary development is carried out through TraCI interface and python programming language. The speed standard deviation, lane changing speed, density, departure delay and operation delay are proposed as the traffic flow evaluation indexes of hard shoulder open sections, and the impact of different speed limit schemes on road traffic characteristics after hard shoulder opening is analyzed. The results show that hard shoulder running can improve the traffic capacity of Jingxiong expressway by 22.5%, and the optimal traffic volume range of hard shoulder opening is 8000–9800 pcu/h. With the reduction of the overall speed limit in the open section of hard shoulder, the standard deviation of speed continues to decrease, and the density and operation delay show an increasing trend. In the free flow state, the number of lane changes increases with the reduction of the overall speed limit of the road section. In the case of congested flow, the impact of the gradual reduction of the speed limit of the road section on the total number of lane changes is weakened. When the road is not congested, opening the hard shoulder can reduce the departure delay by 100%. After the road is congested, the departure delay is reduced by about 60% compared with that when the shoulder is not open.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116131669","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

Energy Consumption Prediction and Diagnosis of Heating Ventilation and Air Conditioning System Based on Bidirectional LSTM Method 基于双向LSTM方法的采暖通风空调系统能耗预测与诊断

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00134

YiLin Cong, LiTong Hou, Yicheng Wu, Yongzhi Ma

引用次数: 0

Evaluation of coupling coordination degree between tourism industry and cultural industry 旅游产业与文化产业耦合协调度评价

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00046

Fengsheng Wang, Chenchen Jiang

{"title":"Evaluation of coupling coordination degree between tourism industry and cultural industry","authors":"Fengsheng Wang, Chenchen Jiang","doi":"10.1109/ICCEAI55464.2022.00046","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00046","url":null,"abstract":"China's cultural industry and tourism industry are growing stronger, have gradually reached a relatively mature stage, the interactive development of cultural industry and tourism industry has become an important way for the two industries to seek further upgrading. Based on the analysis of the coupling mechanism of the two big industries, by coupling coordination degree of the cultural industry and tourism industry in henan province as the research object, constructing evaluation index system, cultural industry and tourism industry by using the coupling model and coupling coordination model, an analysis of data collected nearly nine years trends, research of henan cultural industry, and coordinating the relationship between the development level of tourism industry. The results are as follows: Since 2017, the development speed of tourism industry in Henan province has significantly increased, and the cultural industry has lagged behind the development of tourism industry. During the past 9 years, the coupling coordination degree of cultural and tourism industry has developed from near maladjustment to good coordination, and the synergistic effect of development has increased gradually.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129778734","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

A Mechanism and Control Design of Flexible Spine driven by Pneumatic Artificial Muscles 气动人工肌肉驱动柔性脊柱的机构与控制设计

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00110

Liyun Fang, Enyi Xu, Weiyi Zhou, Kunling Zhou

引用次数: 0

Research on the Technology of Power Adapter Without Input Electrolytic Capacitor Based on One-Cycle Control 基于单周期控制的无输入电解电容电源适配器技术研究

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00163

Jinshuai Wang, Qingbin Chen, Yaodong Chen, Wei Chen

{"title":"Research on the Technology of Power Adapter Without Input Electrolytic Capacitor Based on One-Cycle Control","authors":"Jinshuai Wang, Qingbin Chen, Yaodong Chen, Wei Chen","doi":"10.1109/ICCEAI55464.2022.00163","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00163","url":null,"abstract":"High power density is the key to power adapter miniaturization, and it is also one of the research hotspots of the power adapters. Aiming at the problem that the input electrolytic capacitor affects the volume of the power adapter, a topological structure of the power adapter without input electrolytic capacitor is proposed in this paper. This topology adds an energy compensation loop based on the flyback converter. The balance between input instantaneous power and output power is realized by controlling the charge and discharge of the energy storage capacitor in the energy compensation loop to reduce the low output voltage ripple. The working principle and switching mode of the topology is analyzed in detail, the key parameters of the circuit are designed for the proposed circuit topology, and a control strategy for the circuit topology based on one-cycle control is proposed. Finally, the circuit topology and control principle is verified by simulation at 60W. The simulation results show that the proposed circuit scheme can reduce the output voltage ripple to less than 0.3% at 60W, and eliminate the input electrolytic capacitor, which greatly reduces the volume of the power adapter.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129231404","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 Infrared Image Super-Resolution Based on Enhanced Generative Adversarial Network 基于增强生成对抗网络的红外图像超分辨率研究

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00076

Lihui Sun, Yiyou Zhao

引用次数: 1

Research and Practice of Remote Sensing Crop Water Consumption Monitoring Platform in China 中国作物耗水量遥感监测平台的研究与实践

2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI) Pub Date : 2022-07-01 DOI: 10.1109/ICCEAI55464.2022.00071

He Chen, Di Zhang, Zheng Wei, Dingxing Xie

{"title":"Research and Practice of Remote Sensing Crop Water Consumption Monitoring Platform in China","authors":"He Chen, Di Zhang, Zheng Wei, Dingxing Xie","doi":"10.1109/ICCEAI55464.2022.00071","DOIUrl":"https://doi.org/10.1109/ICCEAI55464.2022.00071","url":null,"abstract":"As a key link in water cycle, evapotranspiration (ET) contains over 60% of the total precipitation. ET is also vital component of global energy balance, which has a proportion of 60 present of net radiation. Since ET plays a critical role worldwide, especially in water management, it has been studied extensively in the past decades. To meet the actual needs of practical application for management departments at all levels in China, we developed a remote sensing-based monitoring platform to provide real-time estimation and short term forecast of water consumption and requirement without manual operation and maintenance. The platform built in a series of standard remote sensing and meteorological data processing program and a simple but robust forecast method was used and validated at 9 different regions that covers major grain producing areas and climatic zones. Results showed that the accuracy of water requirement forecast is over 80% up to 40 days leading time. By far, the demo of the platform is launched, and daily results were uploaded and stored in cloud server and provide online preview and data download to the whole public.","PeriodicalId":414181,"journal":{"name":"2022 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121185450","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