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ALBIG: a Chinese medical text entity recognition model based on Global Pointer 3

ALBIG: a Chinese medical text entity recognition model based...

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3rd International Conference on Electronic Information eng.neering, Big Data, and Computer technology, EIBDCT 2024

作者： Zhang, Yijie Gao, Yan Zeng. Qiong School of Software Engineering Chengdu University of Information Technology Chengdu610225 China Sichuan Prov. Eng. Technology Research Center of Support Software of Informatization Application Chengdu610225 China

ISBN: (纸本)9781510680449

Current work on Chinese medical name entity recognition focuses on extracting flattened entities, and when there are nested entities in the entities, the entity recognition is prone to errors and cannot accurately identify all the entities in the statement. In this paper, we construct an ALBIG model based on multilayer neural network and adversarial learning method. The model uses a pre-trained model RoBERTa-wwm stablish word embedding and connects IDCNN model to extract text features. Adds adversarial learning method to increase the robustness of the model and uses Global Pointer method based on Rotary Position Embedding as the output layer to obtain the final result. On the CMeEE dataset, the F1 values of the ALBIG model obtained higher scores compared to other experimental models, prov.ng the validity of the model. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Embeddings

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Mobile Fighter Plane Game Manipulation: Touch-based Method vs. Camera-Based Method 9

Mobile Fighter Plane Game Manipulation: Touch-based Method v...

引用

9th International Conference on Systems and Informatics, ICSAI 2023

作者： Chen, Liang Chengdu University of Information Technology School of Software Engineering Chengdu China Sichuan Prov. Eng. Technology Research Center of Support Software of Informatization Application Chengdu China

ISBN: (纸本)9798350383706

Direct touch input has already been ubiquitously used on various mobile devices. However, direct touch manipulation sometimes degrades mobile game experience due to its limitations, such as the occlusion problem and the virtual button-based manipulation. In this paper, we investigate camera-based mobile game manipulation which takes advantage of camera input to enable button-free interactions without hand occlusion. The results of a preliminary user study indicate that, on the whole, the participants believe that the camera-based manipulation is intuitive, easy-to-learn, and easy-to-use. In addition, overall, they also give positive feedbacks on the bullet-firing control, button-free and occlusion-free manipulation, and believe that the camera-based manipulation is better than the touch-based manipulation. © 2023 IEEE.

关键词： Cameras

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Dual-stream high-dimensional features implicit augmentation for micro-expression recognition 3

Dual-stream high-dimensional features implicit augmentation ...

引用

3rd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2023

作者： Yue, Xi Wang, Wenxin Chengdu University of Information Technology Sichuan Chengdu610225 China Sichuan Prov. Eng. Technology Research Center of Support Software of Informatization Application Sichuan Chengdu610225 China

ISBN: (纸本)9781510668522

Aiming at the problem that micro-expression (ME) participants have their own expressions that interfere with microexpression recognition (MER), a dual-stream high-dimensional features implicit augmentation for MER is proposed. The innovative fusion method of adaptive face mask and Action Units (AUs) is used to reduce the interference of the participants' own expressions, and combined with optical flow information to form more focused high-dimensional spatiotemporal information. Enhance high-dimensional spatio-Temporal features through an improv.d implicit semantic data enhancement algorithm to alleviate the problem of small sample data. Using high-dimensional spatiotemporal information to focus the network model on ME active areas. Using a two-stream hybrid convolutional network to extract features from temporal and spatial domain information respectively to improv. the representation ability of the network. The experimental results show that under the evaluation criteria of MEGC2019, UF1 and UAR are improv.d by 5.5% and 6.8% respectively compared with the best method. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Semantics

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research on image reliable transferring and compression based on coding theory

Research on image reliable transferring and compression base...

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2021 International Conference on Signal Image Processing and Communication, ICSIPC 2021

作者： Wei, Geng.Hongliang, Cai Dunlong, Liu Hui, Yang Yingfeng. Fu School of Software Engineering Chengdu University of Information Technology Sichuan Province Chengdu China The Software Eng. Technology Research Support Center of Informatization Application of Sichuan China China Electronics Technology Cyber Security Co. Ltd China China Aerospace Sichuan Research Institute of Aerospace Technology Chengdu China

ISBN: (数字)9781510645417

ISBN: (纸本)9781510645400

The current application range of images is relatively wide, especially in deep learning, a large number of image samples are used. Image compression technology is particularly important, and image loss or tampering may occur during image transmission or migration, so erasure code can be used to restore the lost image, which can guarantee the restoration of the lost image or the restoration of the partial content of the image. We use singular value decomposition method for image compression, the compression effect is better, and the new encoding is used for image restoration, the encoding and decoding speed is greatly improv.d compared with the commonly used channel encoding, so as to ensure the safe storage and transmission of the image. © 2021 SPIE.

关键词： Singular value decomposition

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