2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)最新文献_第2页

Design and Realization of Drum Level Control System for 300MW Unit 300MW机组汽包液位控制系统的设计与实现

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00091

Yihan Wang

引用次数: 0

Pose estimation for monocular image object using convolution neural network 基于卷积神经网络的单眼图像目标位姿估计

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00062

Hangyu Li, Han Wu, Zhilong Zhang, Chuwei Li

引用次数: 0

Real-time Person Tracking and Re-identification Based on Feature Matching 基于特征匹配的实时人员跟踪与再识别

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00063

Hang Zou, Yan Zhang, Yin Zhang, Xian Jiang, Ligang Dong

引用次数: 0

A Multi-Mode Learning Behavior Real-time Data Acquisition Method Based on Data Quality 基于数据质量的多模式学习行为实时数据采集方法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00021

Zhenwei Zhang, Wenyan Wu, Dongjie Wu

{"title":"A Multi-Mode Learning Behavior Real-time Data Acquisition Method Based on Data Quality","authors":"Zhenwei Zhang, Wenyan Wu, Dongjie Wu","doi":"10.1109/ISCEIC53685.2021.00021","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00021","url":null,"abstract":"With the rapid development of new technologies such as artificial intelligence, big data, and the Internet of Things, many researchers have probed into the study of learning analysis, trying to solve the problems of teaching by analyzing the learning behavior data from learning process. And in many learning behavior research, the sensor network usually consists of a host of mutually independent data sources, which can be used to monitor measured objects from multiple dimensions thereby obtaining the multi-source multi-modal sensory data. However, there still exist false negative readings, false positive readings and environmental interference, etc. Therefore, we propose a multi-source multimode sensory data acquisition method based on Date Quality(DQ). We first define the data quality in terms of four aspects-accuracy, integrity, consistency and instantaneity. Then, by the modeling there aspects respectively, we propose metrics to estimate the comprehensive data quality method of multi-source multi-mode sensory data. Finally, a data acquisition method is presented based on data quality, which selects a part of data sources for data transmission according to the given precision. This method aims at reducing the consumption of the sensory network on the premise of the data quality guarantee. An extensive experimental evaluation demonstrates the efficiency and effectiveness of the algorithm.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408058","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

Improved Ant Colony Algorithm Based on Parameters Optimization for AGV Path Planning 基于参数优化的AGV路径规划改进蚁群算法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00025

Zhou Yang, Haibin Liu, R. Xie

{"title":"Improved Ant Colony Algorithm Based on Parameters Optimization for AGV Path Planning","authors":"Zhou Yang, Haibin Liu, R. Xie","doi":"10.1109/ISCEIC53685.2021.00025","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00025","url":null,"abstract":"Path planning is a key technology in the research of Automatic Guided Vehicle (AGV). To solve the problem that the traditional Ant Colony Optimization (ACO) algorithm has poor convergence, low search efficiency, and easy to fall into the local optimality problems in AGV path planning, some improved methods are proposed in this paper. Through initial pheromones non-uniform and directed distribution to determine the search direction in the early stage, the search efficiency and convergence speed of the algorithm is improved. By adding the adaptive adjustment strategy of the iterations number, the computation amount and time complexity of the algorithm are greatly reduced. The parameters of ACO have an important influence on the convergence and the optimization effect, but there are no scientific bases to decide the values. To solve the above problem the improved ACO parameters are optimized by using the genetic algorithm (GA) which has good global search ability and easy fusion with other algorithms to find the parameters combination for the best performance of ACO. Simulation experiments in different environments show that the improved ACO has a better optimization effect and higher search efficiency compared with the traditional ACO.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126744793","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

Gaussian Image Denoising Method Based on the Dual Channel Deep Neural Network with the Skip Connection 基于跳跃连接双通道深度神经网络的高斯图像去噪方法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00090

Kaili Feng, Tonghe Ding, Tianping Li, Jiayu Ou

引用次数: 0

Research on a Fault Repair Method for Control Logic of Non-Source-Code Software 非源代码软件控制逻辑故障修复方法研究

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00066

Ping Hu, Xue-Xia Liu, Xue-Feng Gu, Hao Chen, Kai Liu, Chao Zhang

引用次数: 0

Deformation prediction of thin-walled parts based on BP neural network 基于BP神经网络的薄壁件变形预测

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00042

Fei Liu, Niansong Zhang, Aiming Wang, Yue Ding, Y. Cao, Liling Liu

引用次数: 1

Method with Data to Text Generation Based on Selecting Encoding and Fusing Semantic Loss 基于选择编码和融合语义丢失的数据到文本生成方法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00038

Yuelin Chen, ZhuCheng Gao, XiaoDong Cai

{"title":"Method with Data to Text Generation Based on Selecting Encoding and Fusing Semantic Loss","authors":"Yuelin Chen, ZhuCheng Gao, XiaoDong Cai","doi":"10.1109/ISCEIC53685.2021.00038","DOIUrl":"https://doi.org/10.1109/ISCEIC53685.2021.00038","url":null,"abstract":"A method with data to text generation based on selecting encoding and fusing semantic loss is proposed in this paper. By highlighting key content and reducing the redundancy of text description information, the quality of the generated text is significantly improved. First, a new selection network is designed, which uses the amount of information related to data records as the coding basis for content importance, and multiple rounds of dynamic iterations of the results to achieve accurate and comprehensive selection of important information. Secondly, in the decoding process using Long Short-Term Memory (LSTM), a hierarchical attention mechanism is designed to assign dynamic selection weights to different entities and their attributes in the hidden layer output to obtain the best generated text Recall rate. Finally, a method of calculating the semantic similarity loss between the generated text and the reference text is introduced. By calculating the cosine distance of the semantic vectors of the two and iteratively feedback to the training process to obtain the optimization of key features, while reducing the redundancy of description information and improving the model BLEU performance. The experimental results show that the test Precision rate, Recall rate and BLEU is up to 94.58%, 53.72% and 17.24, which are better than existing models.","PeriodicalId":342968,"journal":{"name":"2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131171655","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 novel orthogonal matching pursuit algorithm based on reduced-dimension dictionary for airborne MIMO radar 一种基于降维字典的机载MIMO雷达正交匹配跟踪算法

2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) Pub Date : 2021-08-01 DOI: 10.1109/ISCEIC53685.2021.00049

Qiuyue Yin, Jinwang Yi, Jun Tang, Qin Zhu

引用次数: 0