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2021 7th International Conference on Systems and Informatics (ICSAI)最新文献

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Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior 智能终端软硬件属性与微隐式交互行为的关系
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/ICSAI53574.2021.9664193
Wei Wang, Yuxuan Du, Chuan B. Zhang, Xiaoli Zheng
{"title":"Relationship Between Software and Hardware Attributes of Intelligent Terminal and Micro Implicit Interaction Behavior","authors":"Wei Wang, Yuxuan Du, Chuan B. Zhang, Xiaoli Zheng","doi":"10.1109/ICSAI53574.2021.9664193","DOIUrl":"https://doi.org/10.1109/ICSAI53574.2021.9664193","url":null,"abstract":"User browsing behavior is an important implicit feedback data reflecting users' interests and preferences in the field of recommendation system. How to make full use of user browsing behavior data and combined with other context information to improve recommendation efficiency has become a research hotspot. Firstly, the user browsing behavior and the software and hardware attribute data of intelligent terminal are cleaned and clustered. On this basis, the implicit feedback behavior of micro network is analyzed. Then, the influence of the software and hardware attribute context of intelligent terminal on the implicit feedback behavior of user micro network is studied by using binary and multiple regression analysis. The results show that the type of app store and browser used are very important factors. In addition, the type of operating system and screen resolution also affect the implicit feedback behavior of micro network to a certain extent.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129946492","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
UAV-based cross-view geo-localization fusion spatial attention mechanism and Netvlad 基于无人机的交叉视角地理定位融合空间注意机制与Netvlad
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664015
Zongbao Liang, Xing Liu, Bo Chen, YunFei Yuan, Yang Song, Haifei Jiang
{"title":"UAV-based cross-view geo-localization fusion spatial attention mechanism and Netvlad","authors":"Zongbao Liang, Xing Liu, Bo Chen, YunFei Yuan, Yang Song, Haifei Jiang","doi":"10.1109/icsai53574.2021.9664015","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664015","url":null,"abstract":"The purpose of cross-view image geo-localization is to retrieve the same geographic target from images with different views acquired from different platforms. Facing the great differences in the appearance of images from different viewpoints, we propose an image retrieval method (spatial-Netvlad-siamese net, SNSnet) that fuses the trainable local aggregation descriptor vector (Netvlad) and the spatial attention mechanism. SNSnet can simultaneously process two different viewpoint images, and achieve image retrieval and matching by increasing the distance between mismatched image pairs and decreasing the distance between matched image pairs. We conducted experiments on mutual retrieval between satellite viewpoint images and UAV viewpoint images and achieved good results.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125437694","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
Mask Wearing Specification Detection Based on Cascaded Convolutional Neural Network 基于级联卷积神经网络的口罩佩戴规格检测
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664070
Qingqing Yang, Zhangli Lan
{"title":"Mask Wearing Specification Detection Based on Cascaded Convolutional Neural Network","authors":"Qingqing Yang, Zhangli Lan","doi":"10.1109/icsai53574.2021.9664070","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664070","url":null,"abstract":"Standardizing the wearing of masks is an important part of public health management. In order to solve the problem of low detection accuracy of wearing masks in complex light environment in public places, a mask detection method based on cascaded convolution neural network is proposed. Face location is carried out by using MTCNN algorithm, and the obtained face parts are classified at the first level to determine whether to wear a mask or not, and the Fast R-CNN algorithm is used to detect the part below the eyes of the object wearing the mask, and the second-level classification is used to determine whether the mask is standard or not. The experimental results show that in a multifaceted and complex background environment, the correct rates of testing whether to wear a mask and whether the mask is standard are 93.88% and 91.75% respectively, which can effectively detect whether the mask is standard or not.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125795638","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
Generated ($in, invee q$)-IV-Fuzzy Filters in MTL-algebras mtl代数中生成($in， invee q$)- iv -模糊滤波器
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664173
Chunhui Liu
{"title":"Generated ($in, invee q$)-IV-Fuzzy Filters in MTL-algebras","authors":"Chunhui Liu","doi":"10.1109/icsai53574.2021.9664173","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664173","url":null,"abstract":"Based on the conventional IV-fuzzy set inclusion order <tex>$sqsubseteq$</tex>, the concept of generated (<tex>$in, invee q$</tex>) -IV-fuzzy filter by an IV-fuzzy set is introduced and some its properties are discussed in MTL-algebras. Two representation theorems of generated (<tex>$in, invee q$</tex>) -IV-fuzzy filters are established. It lays a foundation for investigating the lattice theory structure of the set IFil (<tex>$L$</tex>) which is composed of all (<tex>$in, invee q$</tex>) -IV-fuzzy filters in an MTL-algebra <tex>$L$</tex> with <tex>$sqsubseteq$</tex>.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988583","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
Focusing of Translational Variant Bistatic Forward-Looking SAR Based on Inverse Scaled Fourier Transformation Algorithm 基于反比例傅立叶变换算法的平移型双基地前视SAR聚焦
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/ICSAI53574.2021.9664191
Liu Huan, Li Qiang, Yuebo Fan, D. Li
{"title":"Focusing of Translational Variant Bistatic Forward-Looking SAR Based on Inverse Scaled Fourier Transformation Algorithm","authors":"Liu Huan, Li Qiang, Yuebo Fan, D. Li","doi":"10.1109/ICSAI53574.2021.9664191","DOIUrl":"https://doi.org/10.1109/ICSAI53574.2021.9664191","url":null,"abstract":"The conventional synthetic aperture radar (SAR) cannot image in the forward-looking direction; this problem can be solved by bistatic SAR(BSAR). A bistatic forward-looking SAR(BFSAR) configuration is introduced in this paper. The series inversion method (MSR) is adopted to obtain its 2D spectrum, and then the inverse scale Fourier transform algorithm (SCFT) is used based on this spectrum. The simulation results verify the effectiveness of this method.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126020202","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 Multiscale Attention Mechanism Based Vehicle Re-Identification 基于多尺度注意机制的车辆再识别
2021 7th International Conference on Systems and Informatics (ICSAI) Pub Date : 2021-11-13 DOI: 10.1109/icsai53574.2021.9664178
Lifang Du, C. Yu, Cong Shuai, Xinlong Liu, Jianxi Yang, Yufan Zhang
{"title":"A Multiscale Attention Mechanism Based Vehicle Re-Identification","authors":"Lifang Du, C. Yu, Cong Shuai, Xinlong Liu, Jianxi Yang, Yufan Zhang","doi":"10.1109/icsai53574.2021.9664178","DOIUrl":"https://doi.org/10.1109/icsai53574.2021.9664178","url":null,"abstract":"Vehicle re-identification is effected by the vehicle appearance feature, especially for the illumination variation, line of sight occlusion, and image angle change. To solve this problem, a vehicle feature extraction approach based on multi-scale fusion attention mechanism is proposed. First, ResNet-50 is used as backbone network to strengthen the extraction of more discriminative local feature. Second, a plug-and-play spatial attention module is inserted into the backbone network, allowing the backbone network to pay more attention to the local information, which makes the final extracted vehicle features more discriminative. Experimental results on the VeRi-776 dataset indicate that the proposed approach achieved the highest Rank-1 index of 94.28% with mAP of 78.52%, which outperforms the other compared spatial attention mechanism based methods.","PeriodicalId":131284,"journal":{"name":"2021 7th International Conference on Systems and Informatics (ICSAI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116753742","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
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