2022 8th International Conference on Systems and Informatics (ICSAI)最新文献_第4页

GMLB Filter With Uncorrelated Conversion for Multi Nonlinear Targets Tracking 多非线性目标跟踪的非相关转换GMLB滤波器

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005548

Xinghui Wu, Min Wang

引用次数: 0

SkeletonCLIP: Recognizing Skeleton-based Human Actions with Text Prompts 用文本提示识别基于骨骼的人类动作

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005459

Lin Yuan, Zhen He, Qianqian Wang, Leiyang Xu, Xiang Ma

{"title":"SkeletonCLIP: Recognizing Skeleton-based Human Actions with Text Prompts","authors":"Lin Yuan, Zhen He, Qianqian Wang, Leiyang Xu, Xiang Ma","doi":"10.1109/ICSAI57119.2022.10005459","DOIUrl":"https://doi.org/10.1109/ICSAI57119.2022.10005459","url":null,"abstract":"Human action recognition has been a hot research for decades, and mainstream supervised frameworks include a feature extraction backbone and a softmax classifier to predict daily human actions. When the number of classes applied to the dataset changes, we must retrain the classifier on the well-trained backbone. This pipeline restricts the generalization and transfer ability of the model due to an extra training period. Moreover, replacing action labels with simple number labels discards useful semantic information and can only receive a meaningless classifier at last. In this work, we present a model SkeletonCLIP for skeleton-based human action recognition. We add an alternative text encoder to extract semantic information from labels while keeping the original sequence encoder. We use dot production to measure the similarities of sequence-text pairs in place of traditional classifier head and cross-entropy loss. Experiments from three human action datasets show that our framework can reach a higher recognition accuracy with the help of semantic information when training the network from scratch. The code has been shown at eunseo-v/SkeletonCLIP.","PeriodicalId":339547,"journal":{"name":"2022 8th International Conference on Systems and Informatics (ICSAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126167507","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

Missile Interception Guidance With Parameter Uncertainties Using Desensitized Extended Kalman Filter 基于脱敏扩展卡尔曼滤波的参数不确定导弹拦截制导

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005408

Jingsong Yang, Wei Hu, Tianhao Liu, Lingguo Cui, Jia Liang

引用次数: 0

Facial Expression Recognition based on Convolutional Neural Network with Sparse Representation 基于稀疏表示卷积神经网络的面部表情识别

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005481

Xuan Liu, Jiachen Ma, Qianqian Wang

{"title":"Facial Expression Recognition based on Convolutional Neural Network with Sparse Representation","authors":"Xuan Liu, Jiachen Ma, Qianqian Wang","doi":"10.1109/ICSAI57119.2022.10005481","DOIUrl":"https://doi.org/10.1109/ICSAI57119.2022.10005481","url":null,"abstract":"Facial Expression Recognition (FER) in the wild using Convolutional Neural Networks (CNNs) has been a challenge for years because of the significant intra-class variances and interclass similarities. In contrast, facial expression recognition in the wild is vital for human-computer interactions and has numerous applications. Enhancing the discriminative features extraction ability is one approach to solving this issue. In this work, a sparse transform is used to improve a CNN’s ability to extract features without adding to the network’s computational load. We use a sparse representation layer that is built by the Haar wavelet transform or shearlet transform prior to the convolutional layers of a standard CNN. With the proposed sparse representation layers, we introduce a VGGNet and an AlexNet architecture and conduct experiments on the FER2013 dataset without the use of additional training data. The experimental results demonstrated that the wavelet transform’s sparse representation layer can improve FER performance without increasing an excessive computational burden. We achieved testing accuracy of 73.25 percent on the FER2013 dataset using VGGNet paired with a sparse representation layer built inside a wavelet transform, which is among the best results for a single network.","PeriodicalId":339547,"journal":{"name":"2022 8th International Conference on Systems and Informatics (ICSAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129686186","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

Design of Extreme High Voltage High Stability Test Voltage Source 超高压高稳定性试验电压源的设计

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005363

Minrui Xu, Gang Chen, Shufeng Lu, Zigang Lu, Feng Ji, Zengkai Ouyang

引用次数: 0

Mask-based Text Scoring for Product Title Summarization 基于面具的产品标题摘要文本评分

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005399

Xinyi Guan, Shun Long, Weiheng Zhu, Silei Cao, Fangting Liao

引用次数: 0

Movie Recommender System Based On Heterogeneous Graph Neural Networks 基于异构图神经网络的电影推荐系统

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005557

Khalil Ur Rahman, Huifang Ma, Ali Arshad, Azad Khan Baheer

{"title":"Movie Recommender System Based On Heterogeneous Graph Neural Networks","authors":"Khalil Ur Rahman, Huifang Ma, Ali Arshad, Azad Khan Baheer","doi":"10.1109/ICSAI57119.2022.10005557","DOIUrl":"https://doi.org/10.1109/ICSAI57119.2022.10005557","url":null,"abstract":"Heterogeneous Graph Neural Networks (GNNs) have shown good performance as a robust deep learning-based graph representation technique and have gained much research interest. Although it has adequately taken into account networks with a number of links and nodes, heterogeneity and the volume of semantic data provide significant obstacles. The attention mechanism, having great potential in a variety of areas, is one of the most interesting new developments in deep learning. This research demonstrates a system with two crucial attributes for embedding users and movies. The proposed framework achieves multi-level semantic attention using GNNs. We incorporated IMDB and Netflix Movie and TV Show datasets and merged them into a single consolidated dataset that was further utilized for results analysis. This paper mainly contributes a technique for movie recommendation using heterogeneous graphs and multi-level Semitics. We have proposed a framework that incorporates viewer and Director as an entity. During the research, we also combined two datasets in accordance with the proposed framework. After that, we evaluated the performance of the graph neural network on the heterogeneous graph. We discovered that the proposed model outperformed the current methodologies while using the proposed technique. Our model multilevel-Semitics-based framework shows effective results.","PeriodicalId":339547,"journal":{"name":"2022 8th International Conference on Systems and Informatics (ICSAI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125561393","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

Design and Development of a Medicine Box Recognition System Based on Machine Vision 基于机器视觉的药盒识别系统的设计与开发

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005527

Jiamin Huang, Ming Yan, Jiacheng Zhou, Xiaojun Zhang, YuJie Jiang, Zhi Tao

引用次数: 0

An Improved Person Re-Identification Method based on AlignedReID ++ algorithm 一种改进的基于alignedreid++算法的人员再识别方法

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005320

Xiangyuan Zhu, Xiaozhou Dong, Hong Nie, Yusen Cen

引用次数: 0

Setting Calculation Method and Protection Coordination for Relay Protection System in Consideration of Arc Flash 考虑电弧闪光的继电保护系统整定计算方法及保护协调

2022 8th International Conference on Systems and Informatics (ICSAI) Pub Date : 2022-12-10 DOI: 10.1109/ICSAI57119.2022.10005389

Fang Jinghui, Zhang Bo, Zhong Weidong, Feng Jian, Jin Guozhong, Gao Xijun, Wei Ling

引用次数: 0