Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning最新文献_第8页

Early warning of corporate financial crisis based on sentiment analysis and AutoML 基于情绪分析和AutoML的企业财务危机预警

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590027

Wei Cheng, Shiyu Chen, Xi Liu, Jiali Kang, Jiahao Duan, Shixuan Li

引用次数: 0

Unknown Radar Signals Deinterleaving Based on TCN Network 基于TCN网络的未知雷达信号去交织

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590038

Liying Ma, Xueqiong Li, Yuhua Tang

引用次数: 0

Research on Natural Scene Vehicle Nameplate Text Detection Based on Improved DBNet 基于改进DBNet的自然场景车辆铭牌文本检测研究

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590064

Yucheng Du, Jinsong Dong

{"title":"Research on Natural Scene Vehicle Nameplate Text Detection Based on Improved DBNet","authors":"Yucheng Du, Jinsong Dong","doi":"10.1145/3590003.3590064","DOIUrl":"https://doi.org/10.1145/3590003.3590064","url":null,"abstract":"Vehicle nameplate information as the main content of vehicle test, it is an important guarantee for the test quality of automobile testing institutions, and an important basis for the transportation authorities to determine the consistency of vehicle parameter configuration. Aiming at the problems of diverse text distribution, variable scale and complex background in vehicle nameplate detection, this paper proposes a dense connection and feature enhancement based on differentiable Binarization (DBNet) semantic segmentation algorithm. This algorithm uses the Dense Atrous Spatial Pyramid Pooling (DASPP) module to establish the connection between multiple dilated convolutions, capture dense sampling point pixels, and improve the utilization of high-level feature information. Secondly, the Feature Pyramid Enhancement Module (FPEM) is used to enhance the expression ability of the multi-layer feature information output from the backbone network, and the Feature Fusion Module (FFM) is used to fuse the feature information of different scales output from the FPEM, which improves the complementary ability between the features of each layer and obtains more comprehensive feature map information. Finally, the output of the DASPP and the FFM are concatenated to get the final segmentation results. The experimental results show that the improved algorithm can effectively locate the nameplate text area in the complex background. The detection accuracy on the self-defined datasets reaches 90.4 %, which is 2.6 % higher than the original algorithm DBNet.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124339173","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 Review of Routing Optimization Techniques for Quality of Service Assurance in Software-Defined Networks 软件定义网络中服务质量保证的路由优化技术综述

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590033

Guozhu Yan, Jingchao Wang, Shuangyin Ren, Chao Xue

{"title":"A Review of Routing Optimization Techniques for Quality of Service Assurance in Software-Defined Networks","authors":"Guozhu Yan, Jingchao Wang, Shuangyin Ren, Chao Xue","doi":"10.1145/3590003.3590033","DOIUrl":"https://doi.org/10.1145/3590003.3590033","url":null,"abstract":"The traditional military communication network is based on IP architecture, which has the problems of rigid architecture and challenging quality of service guarantee. The rapid development of various new applications has put differentiated demands on the whole network's service quality. In recent years, software-defined network technology has been developing, which has the characteristics of decoupling the control and data planes. Its control plane has excellent global control capability and network equipment information collection capability, which has natural advantages for optimizing the quality of service. Firstly, the SDN network architecture, quality of service performance parameters, and service model are introduced; secondly, the different requirements of quality of service for standard and typical service application scenarios are analyzed, and the current research status of quality of service enhancement through routing optimization is described; finally, the outlook is summarized, and two new ideas for quality of service enhancement in SDN networks and the development trend of quality of service research in military communication networks are proposed.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124786395","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 3D discrete memristive chaotic map and its application in image encryption 三维离散记忆混沌映射及其在图像加密中的应用

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590078

Junwei Shen

引用次数: 0

Explainable Deep Learning for Medical Image Segmentation With Learnable Class Activation Mapping 基于可学习类激活映射的医学图像分割的可解释深度学习

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590040

Kaiyu Wang, Sixing Yin, Yining Wang, Shufang Li

引用次数: 0

KRE: A Key-retained Random Erasing Method for Occluded Person Re-identification 一种保留密钥的随机擦除方法用于闭塞人员的再识别

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590089

Hongxia Wang, Yao Ma, Xiang Chen

{"title":"KRE: A Key-retained Random Erasing Method for Occluded Person Re-identification","authors":"Hongxia Wang, Yao Ma, Xiang Chen","doi":"10.1145/3590003.3590089","DOIUrl":"https://doi.org/10.1145/3590003.3590089","url":null,"abstract":"Occluded person re-identification (ReID) is a challenging task in the field of computer vision, facing the problem that the target pedestrians in probe images are obscured by various occlusions. Random Erasing in data augmentation techniques is one of the effective methods used to deal with the occlusion problem, but it may introduce noise into the training process, which affects the training of the model. In order to solve this problem, we propose an novel data augmentation method named Key-retained Random Erasing (KRE) which preserves the critical parts in images for occluded person ReID. Based on the regular Random Erasing, we utilize the naturally generated attention map in Vision Transformers and introduce an adaptive threshold selection method to detect the key areas of the image to be augmented. The complexity of the training samples can be improved without losing the key information of the images by reserving the key areas in Random Erasing process, which can finally alleviate the occluded person ReID problem. Validating the proposed method on occluded, partial and holistic ReID datasets, extensive experimental results demonstrate that our method performs favorably against state-of-the-art methods on ViT-based models.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129009280","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

End-to-end Parking Behavior Recognition Based on Self-attention Mechanism 基于自注意机制的端到端停车行为识别

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590072

Penghua Li, Dechen Zhu, Qiyun Mou, Yushan Tu, Jinfeng Wu

{"title":"End-to-end Parking Behavior Recognition Based on Self-attention Mechanism","authors":"Penghua Li, Dechen Zhu, Qiyun Mou, Yushan Tu, Jinfeng Wu","doi":"10.1145/3590003.3590072","DOIUrl":"https://doi.org/10.1145/3590003.3590072","url":null,"abstract":"In response to the current problem of a large amount of abnormal data in parking behavior detection, this research proposes a network specialized in parking behavior identification, which identifies the background parking behavior data, classifies the data with high accuracy, reduces the cost of manually verifying the data in the background, speeds up the parking charging cycle of enterprises, and optimizes the user experience.The dynamic position embedding is introduced in the parking-transformer species, so that the self-attention within the transformer can dynamically model the structure of the input token and dynamically encode the input parking behavior sequence data to improve the accuracy of the model for parking behavior recognition.In addition, we created a self-collected parking behavior(SPB) dataset, which was acquired in a natural state and contained various behaviors, and manually classified the various behaviors within the data, and then randomly divided into a test set and a validation set for training and testing, respectively.Compared with the existing methods, indicate that parking-trasnformer hits acceptable trade-offs,namely,97.14% accuracy for SPB dataset.","PeriodicalId":340225,"journal":{"name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129108864","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

FlowTexNet: Fast Texture Synthesis for Massive Flow Field Visualization FlowTexNet:快速纹理合成大规模流场可视化

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590106

Zijian Kang, Wenyao Zhang, Na Wang

引用次数: 0

A hybrid Aquila Optimizer sine cosine Algorithm for Numerical Optimization 一种用于数值优化的混合Aquila优化器正弦余弦算法

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI: 10.1145/3590003.3590048

Fei Chu, Jiayang Wang, Fulin Tian

引用次数: 0