发布求助
文献互助 智能选刊 最新文献

2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)最新文献

筛选
英文 中文
Layout Design with a Firefly Algorithm for User Interfaces in Vehicle System 基于Firefly算法的车载系统用户界面布局设计
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236921
Wang Chen, Hao Yu, Xinyan Li, L. Qu, Zhaoyang Mi
{"title":"Layout Design with a Firefly Algorithm for User Interfaces in Vehicle System","authors":"Wang Chen, Hao Yu, Xinyan Li, L. Qu, Zhaoyang Mi","doi":"10.1109/ICISCAE51034.2020.9236921","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236921","url":null,"abstract":"With the advancement of science and technology, the interaction between the occupants and the user interface system is becoming more and more complicated. It is of great value to study the layout of the user interface. Given the interface layout of the user interfaces, this paper uses a firefly algorithm (FA) to optimize the interface layout. First, this paper analyzes the layout characteristics of the user interface and then abstracts this problem into a multi-constrained two-dimensional packing problem. Afterward, we summarized the solution of the two-dimensional packing problem, and we established the mathematical model, where the object is to maximize the space occupancy rate of the interface. Finally, this paper uses the firefly algorithm to solve it. The simulation results show that our method has a good effect and improves the utilization of interface space.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128955277","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 License Plate Recognition Algorithm Based on ABCNet 基于ABCNet的车牌识别算法研究
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236855
Yanyang Liu, Jun Yan, Yanping Xiang
{"title":"Research on License Plate Recognition Algorithm Based on ABCNet","authors":"Yanyang Liu, Jun Yan, Yanping Xiang","doi":"10.1109/ICISCAE51034.2020.9236855","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236855","url":null,"abstract":"In order to improve the accuracy of license plate recognition algorithm, we propose a license plate recognition algorithm based on ABCNet. Firstly, the original images with ABCNet is to locate license plate detection network, secondly, use CRNN - CTC algorithm for license plate character recognition, character recognition algorithm is the main process of the convolution neural network is used to extract image convolution, the cycle of neural network is used to extract image convolution features of sequence, the CTC algorithm is used to solve the problem that training characters cannot be aligned, the license plate recognition's accuracy is 96.4%. With a speed of 9ms, it has a well effect and can play an important role in actual traffic management.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127922254","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
CNN-Based Automatic Modulation Recognition of Wireless Signal 基于cnn的无线信号自动调制识别
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236934
Kaichong Ma, Yongbin Zhou, Jianyun Chen
{"title":"CNN-Based Automatic Modulation Recognition of Wireless Signal","authors":"Kaichong Ma, Yongbin Zhou, Jianyun Chen","doi":"10.1109/ICISCAE51034.2020.9236934","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236934","url":null,"abstract":"Based on simulation samples of open source data collection and communication system signal pretreatment methods, we design a Convolution Neural Network (CNN) that contains three full connection layers and three convolution layers to recognize 11 different kinds of wireless signal modulation. In additive white Gaussian noise(AWGN) model, CNN networks can realize automatic modulation classification of the wireless signal by learning the deep characters of sample data, and the average recognition accuracy is up to 81% under different ratio of signal to noise (SNR). We analyze the influence between modulation recognition accuracy and network hyperparameters such as network structures, convolutional layers, dropout value, batch size, and network training methods.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133067232","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: 4
A Bibliometric Panoramic Analysis on Perovskite Solar Cells by Using CiteSpace 基于CiteSpace的钙钛矿太阳能电池文献计量学全景分析
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236901
C. Nie
{"title":"A Bibliometric Panoramic Analysis on Perovskite Solar Cells by Using CiteSpace","authors":"C. Nie","doi":"10.1109/ICISCAE51034.2020.9236901","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236901","url":null,"abstract":"In the face of the increasing energy demand, perovskite solar cells (PSCs) have emerged as a third generation technology for highly efficient and low-cost photovoltaics. By using CiteSpace, this study aims to quantitatively and visually evaluate scientific literatures of research on PSCs from 2009 to 2019 by retrieving 11258 articles from the Web of Science (including SCI-Expanded and SSCI) database. PSCs have entered the stage of explosive development after 2012. Research on PSCs is a highly interdisciplinary field that covers a wide range of interests, from materials to chemistry, physics, engineering, energy & fuels, environmental science, and so on. The publications on PSCs research were primarily originated from the USA, China, South Korea, Japan, England, Germany, and Switzerland. The most productive and influential institutions, authors, journals are visually demonstrated. Finally, the keywords which represented the research hotspots and emerging trends of PSCs research areas in different periods are generated. By synthetically analyzing the keywords, the dominant hot spots of PSCs research could be concluded as “halide perovskite”, “high efficiency”, “stability”, “(diffusion) length”, “hysteresis”, “deposition”, “(charge) transport”, “recombination”, and “crystallization”. The results can not only provide a panoramic analysis of PSCs researches and give some inspirations for the researchers to do further investigations but also help policymakers to recognize and evaluate the advanced international research institutions.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133393756","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
Reconstruction of Missing Markers in Motion Capture Based on Deep Learning 基于深度学习的运动捕捉中缺失标记的重建
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236900
Yongqiong Zhu
{"title":"Reconstruction of Missing Markers in Motion Capture Based on Deep Learning","authors":"Yongqiong Zhu","doi":"10.1109/ICISCAE51034.2020.9236900","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236900","url":null,"abstract":"With the great success of the movie Avatar, optical motion capture systems have been widely used in the fields of virtual reality, movie animation and robotics. However, the optical motion capture system is prone to noise due to the occlusion of the markers during the capture process. In order to remove the noise in the data, commercial methods are to provide manual repair for noisy data, and use interpolation to fill in the missing data, which is time-consuming and labour-intensive to process and the repaired data is not smooth enough to be jittery. In this paper, we propose a denoising method that can intelligently detect noise in the data and reconstruct missing markers data without manual intervention. This method uses a deep learning method, based on the temporal and spatial relationship of motion sequences, to learn the logical relationship between the data, to quickly find the lost data and reconstruct it. Simulation proves that our method is efficient in reconstruct missing markers.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130197680","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
Tibetan Text Classification Algorithm Based on Syllables 基于音节的藏文文本分类算法
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236833
Xianghe Meng, Hongzhi Yu, Hui Cao
{"title":"Tibetan Text Classification Algorithm Based on Syllables","authors":"Xianghe Meng, Hongzhi Yu, Hui Cao","doi":"10.1109/ICISCAE51034.2020.9236833","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236833","url":null,"abstract":"Tibetan text classification is one of the core technologies in the field of Tibetan information processing. With the rapid development of the Internet, a large amount of Tibetan Internet text data will be generated every day. Text classification technology can quickly and accurately obtain the required information to solve the problem of out-of-order in text. Tibetan syllables are the basic components of Tibetan text, and each syllable in Tibetan is divided by syllable nodes. This paper proposes a Tibetan syllable as a text representation feature, and uses deep neural network models such as CNN, BiL STM and RCNN to classify Tibetan text. Experiments show that this method has achieved prefect results in different depth neural network classification models.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131555465","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
Study on the Win-Win Strategy of Douyin and Its Users 抖音与用户共赢战略研究
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236835
B. Wei, L. Chenxi
{"title":"Study on the Win-Win Strategy of Douyin and Its Users","authors":"B. Wei, L. Chenxi","doi":"10.1109/ICISCAE51034.2020.9236835","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236835","url":null,"abstract":"Today is the era of mobile media. Short video has become one of the newest and most popular forms of social and entertainment because of its creativity and fun. As a new channel for corporate online marketing, short video platforms need to achieve lasting and win-win results with their users and create a mutually beneficial and win-win ecosystem for sustainable development. This article first analyzes the user characteristics and current status of the Douyin short video, then analyzes the current problems and causes of the Douyin platform, and then analyzes the psychological characteristics of the short video audience. Based on this, it proposes to maintain and user Suggestions for a mutually beneficial and win-win relationship.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132905199","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
Co-Attention Based Few-Shot Relation Classification Model with Dynamic Routing 基于协同关注的动态路由少射关系分类模型
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236846
Chun-Yuan Huang, Yuliang Wei, Bailing Wang, Guodong Xin, Wei Wang, Qinggang He
{"title":"Co-Attention Based Few-Shot Relation Classification Model with Dynamic Routing","authors":"Chun-Yuan Huang, Yuliang Wei, Bailing Wang, Guodong Xin, Wei Wang, Qinggang He","doi":"10.1109/ICISCAE51034.2020.9236846","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236846","url":null,"abstract":"With the development of natural neural networks, supervised methods are usually confronted with the problem of lacking labeled data. Few-shot learning methods are now a mainstream research method that allows models to classify relation base on a small amount of data. Relation classification is a basic task in natural language processing and it is the most critical step in the construction of a knowledge graph. This paper focus on few-shot relation classification and we propose a co-attention based few-shot relation classification model with dynamic routing. This model is divided into three parts: encoder layer, aggregation layer and matching layer. The encoder layer is used to extract the important features from support set and query set and convert it into vectors. Aggregation layer is to aggregate the vectors of instances in the same class. The matching layer is to compute the score between the query instances which is extracted form encoder layer and the class vector which is output by aggregation layer. We apply this model on FewRel dataset and the experiment result shows that our method is better than other methods.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126635959","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 Model of Customer Reviews Based on Neural Network 基于神经网络的顾客评论分析模型
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236809
Qian Zhang, Rui Shi, Hao Tang
{"title":"Analysis Model of Customer Reviews Based on Neural Network","authors":"Qian Zhang, Rui Shi, Hao Tang","doi":"10.1109/ICISCAE51034.2020.9236809","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236809","url":null,"abstract":"Reviews of customers affect the sales of e-commerce and positive customer reviews will boost store sales. Thereby, the emotional tendency of customer reviews is important to the evaluation of the business status of online store. In this paper, we use the Neuro-Linguistic Programmin algorithm to quantify the customer review, and then use the neural network to predict the emotional tendency of customer reviews by effectively analyzing the nonlinear relationship among affecting parameters. With the emotional tendency predication, customer reviews can help manage online store well. Simulation results show that our method can achieve high prediction accuracy. The accuracy rates of satisfaction prediction of the three commodities are 91.95%, 89.93%, 90.96%, respectively.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253871","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
Application Analysis of Structural Equation Model Based on BP Neural Network Algorithm in Fault Diagnosis of Power Plant Boilers 基于BP神经网络算法的结构方程模型在电厂锅炉故障诊断中的应用分析
2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI: 10.1109/ICISCAE51034.2020.9236844
Yuanhao Liu, Juan Wang, Yuanchao Liu, X. Yang, Xinpeng Zhu
{"title":"Application Analysis of Structural Equation Model Based on BP Neural Network Algorithm in Fault Diagnosis of Power Plant Boilers","authors":"Yuanhao Liu, Juan Wang, Yuanchao Liu, X. Yang, Xinpeng Zhu","doi":"10.1109/ICISCAE51034.2020.9236844","DOIUrl":"https://doi.org/10.1109/ICISCAE51034.2020.9236844","url":null,"abstract":"As the core equipment of combustion, the safe operation of the boiler is of vital importance. Due to the complex structure of the boiler, damage, abrasion, acid gas corrosion and improper operation will all cause faults. In order to effectively avoid faults, a multi-dimensional BP neural network method is used for boiler fault diagnosis modeling, in which the BP neural network adopts multi-dimensional structure, the input layer adopts fuzzy mathematics method to quantify the operation parameters, and a multi-dimensional BP neural network model is established through the correlation between parameters and between parameters and fault types. The experimental results show that the BP neural network fully inherits the advantages of wavelet transform and neural network. The method has good fault diagnosis ability and is obviously superior to wavelet neural network in the accuracy of fault diagnosis.","PeriodicalId":355473,"journal":{"name":"2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126460187","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信