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检索条件"任意字段=2022 3rd International Conference on Signal Processing and Computer Science, SPCS 2022"

共 761 条记录，以下是61-70 订阅

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Lightweight detection method based on improved YOLOv4 3

Lightweight detection method based on improved YOLOv4

引用

3rd international conference on computer Vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Ruan, WenLong Liu, Yunqing Changchun University of Technology Electronic Science and Technology Changchun City China

ISBN: (纸本)9781665459112

In view of the large amount of model parameters and large amount of calculation when YOLOv4 target detection model is applied to unmanned vehicles, it is difficult to be applied to embedded platform or mobile terminal. In this paper, an improved YOLOv4 model was proposed, which used the MobileNetv1 as the backbone network of YOLOv4. The depth separable convolution was used to replace the ordinary convolution in the enhanced feature extraction network structure PANET of YOLOv4. By introducing the ECA attention mechanism and using DIOU_NMS post-processing strategy, the detection accuracy of the model was improved. The improved YOLOv4 model was tested on the PASCAL VOC data set. The results showed that the number of parameters was one-fifth of the original, the model size was reduced by 193M, the mAP was reduced by 0.56%, and the fps was increased by 20.4. It can meet the requirements of real-time detection of unmanned vehicles. © 2022 IEEE.

关键词： Object detection

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Image Radiation Compensation Method Based on Two-dimensional Attention Module 3

Image Radiation Compensation Method Based on Two-dimensional...

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3rd international conference on computer Vision, Image and Deep Learning and international conference on computer Engineering and Applications, CVIDL and ICCEA 2022

作者： Zhang, Tianyu Zhang, Chao Han, Cheng Yang, Yihan Changchun University of Science and Technology College of Computer Science and Technology Changchun China

ISBN: (纸本)9781665459112

With the diversification of projection scene requirements and the continuous development of projection technology, various scenes containing color textures are used as projection surfaces in daily life. These projection surfaces lead to color distortion of projection image affected by color texture and affect projection effect. The radiation compensation of the projector is to counteract the impact of the textured surface on the projected image by processing the input image of the projector. Aiming at this problem, this paper proposes a color compensation network model for projected images based on a two-dimensional attention module. The model uses a convolutional neural network to learn a complex mapping between the projector input image and the image captured by the camera. An attention module is added to the feature extraction network to generate attention map refinement adaptive features. Finally, a combination of loss functions is set for the specific task of color compensation for network optimization. The experimental results show that the method proposed in this paper effectively solves the problem of color distortion of projected images caused by colored textured surfaces and improves the quality of the projection. © 2022 IEEE.

关键词： Textures

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A PPG-based biometric system using fuzzy min-max model 3

A PPG-based biometric system using fuzzy min-max model

引用

3rd international conference on computer Vision and Data Mining, ICCVDM 2022

作者： Zhang, Yuze Zhang, Yaqi Zhang, Honghao School of Computer Science and Engineering Tianjin University of Technology Tianjin300384 China School of Information and Electronics Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510661363

Biometric methods have been widely used for privacy protection. Biometric recognition has unique and random characteristics, which can better protect people's privacy and security. In this paper, a biometric system based on plethysmography (PPG) signals using fuzzy min-max neural network are developed. The PPG signals have the ability of liveness detection compared with fingerprint recognition and face recognition. The system consists of three processes: signal preprocessing, feature extraction and model classification. The experimental results were obtained an accuracy of 97.62% in the Capnobase database. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Feature extraction

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Analysis and Comparison of Various Contrast Enhancement Techniques 3

Analysis and Comparison of Various Contrast Enhancement Tech...

引用

3rd international conference on Computing, Analytics and Networks, ICAN 2022

作者： Singh, Jagdeep Kaur, Navjot Singh, Rakesh Punjabi University Department of Computer Science and Engineering Patiala India

ISBN: (纸本)9781665499446

Contrast enhancement assumes an important part in image processing which makes an image more clear and bright. It essentially improves the image quality which makes the image's content easy to recognize. In this paper the analysis of four popular contrast enhancement techniques have been done to overcome the brightness and preservation issues and also keeps up the quality of the image. These four techniques are Histogram Equalization (HE), Brightness Preserving Bi- Histogram Equalization (BBHE), Contrast Limited Adaptive Histogram Equalization (CLAHE), and Recursive Mean-Separate Histogram Equalization (RMSHE). Additionally the work also shows the estimation of various parameters like: signal to noise ratio (SNR), Mean square error (MSE), Root mean square error (RMSE), Mean absolute error (MAE), Peak signal to noise ratio (PSNR), and Structure similarity index (SSIM) for each technique. © 2022 IEEE.

关键词： Luminance

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Integrated Circuit Wafer Detection Based on Intelligent Information processing 3

Integrated Circuit Wafer Detection Based on Intelligent Info...

引用

3rd IEEE international conference on computer Systems, ICCS 2023

作者： Liu, Qing Zhao, Limin Hou, Zhe Hao, Jing Li, Xiangbing Zhao, Yuxiang Yang, Jinfang Zhang, Jinbing Tianshui Normal University School of Electronic Information & Electrical Engineering Tianshui741001 China Ministry of Education Engineering Research Center of Integrated Circuit Packaging and Testing Tianshui741001 China Tianshui Huatian Technology Co. Ltd Tianshui741001 China

ISBN: (纸本)9798350313666

In order to effectively detect the defects of wafer in IC production and improve its utilization rate, a wafer image detection method based on intelligent information processing is proposed. Firstly, the images with defects such as contamination, ink dot, crack, single crystal collapse and scratch are preprocessed by median filter. Secondly, mutual information is used as a measure to complete the registration of reference image and defect image. Thirdly, the generalized Hough transform is used to detect the defects based on the difference operation of the registration image. Finally, Outs algorithm is used to improve image defect extraction and achieve better segmentation effect. The experimental results show that the proposed algorithm has good image preprocessing ability for wafer image, and effective extraction, segmentation and detection effect for defect target image. © 2023 IEEE.

关键词： Image segmentation

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A Network Security Situational Awareness Model Based on Multi-Source Heterogeneous Sensors 3

A Network Security Situational Awareness Model Based on Mult...

引用

3rd international conference on Machine Learning and computer Application, ICMLCA 2022

作者： Tan, Xiaobo Zhang, Guangjie College of Information Science and Engineering Ligong University Liaoning Shenyang China Department of Computer Science and Technology Shenyang Ligong University Liaoning Shenyang China

ISBN: (纸本)9781510664814

In the research of network security situational awareness, an important problem that needs to be solved urgently is that in the face of a large number of noisy multi-source data, the accuracy of obtaining network security situational awareness indicators will be affected. This paper proposes a data fusion processing method based on deep neural network to solve the above problems, which first uses natural language processing technology to process high-noise data in the data, and does a good job of word reduction of the data through the WordNetLemmatizer module. The TF-IDF feature extraction algorithm is applied to extract features through the frequency of data occurrence and the weight of the data. The experimental results show that the accuracy of obtaining network security situational awareness indicators by using the data fusion method based on deep neural network reaches more than 85% compared with the data fusion methods of other machine learning algorithms, and can be applied to the network security situational awareness model. © 2023 SPIE.

关键词： Deep neural networks

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Human Gait Recognition Algorithm Based on MobileNetV1 with Attention Mechanism 3

Human Gait Recognition Algorithm Based on MobileNetV1 with A...

引用

3rd international conference on Artificial Intelligence and computer Engineering, ICAICE 2022

作者： Zhang, Jinsha Zhang, Xuedong School of Computer and Software Engineering University of Science and Technology Liaoning Anshan114051 China School of Electronic and Information Engineering University of Science and Technology Liaoning Anshan114051 China

ISBN: (纸本)9781510663473

For embedded modern equipment, the current gait recognition algorithm model is difficult to deploy on it due to a large amount of gait frame image data, slow network processing speed, complex structure and low computational efficiency. In this paper, a lightweight convolutional network model integrating the attention mechanism is proposed. The algorithm first performs morphological processing on the image, extracts the gait contour image, and calculates the gait energy image;Integrates the attention mechanism with MobileNetV1;The feature information of the image is effectively extracted, and the parameters of the network are reduced. A number of body method validation experiments are conducted in the CAISIAB gait database of the Chinese Academy of sciences, and the experimental results are significantly improved with other deep learning models. © 2023 SPIE.

关键词： Computational efficiency

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Research on Chinese word sense disambigution based on Prompt learning 3

Research on Chinese word sense disambigution based on Prompt...

引用

3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Gan, Ling Du, Xinrui Chongqing University of Posts and Telecommunications School of Computer Science and Technology Chongqing400065 China

ISBN: (纸本)9798350320404

Word sense disambiguation is an important research topic in natural language processing. Its purpose is to determine the word meaning of a polysemous word in different contexts. In order to improve the efficiency of disambiguation, a Chinese word sense disambiguation model PL-WSD based on prompt learning is proposed. The model uses the knowledge base HowNet to obtain the representation of each word meaning in polysemous words, uses the way of prompt learning to calculate the similarity score of each word meaning in a specific context, and obtains the word meaning with the highest score as the final result of polysemous words. Experiments show that PL-WSD model is greatly improved compared with other models. © 2022 IEEE.

关键词： Knowledge based systems

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Correlation Discriminator of signals in the Class of Fast Neural Networks 3

Correlation Discriminator of Signals in the Class of Fast Ne...

引用

3rd international conference on Neural Networks and Neurotechnologies, NeuroNT 2022

作者： Dorogov, Alexander Yu. Saint Petersburg Electrotechnical University "leti" Faculty of Computer Science and Technology Saint Petersburg Russia

ISBN: (纸本)9781665467766

The paper presents methods for constructing topology and parametric training of fast neural networks (FNN) for tasks of signal correlation measurements. A mathematical model of the FNN is described. The connection of fast algorithms with self-similar structures is noted. A method of multiplicative representation of arbitrary discrete functions is shown. Algorithms for constructing the FNN topology and training for implementing a correlation discriminator of signals are proposed. © 2022 IEEE.

关键词： Discriminators

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Research on the segmentation of pension market based on K-means clustering algorithm 3

Research on the segmentation of pension market based on K-me...

引用

3rd international conference on computer science and Management Technology, ICCSMT 2022

作者： Wei, Xinyu Li, Xufang Shanghai University of Engineering Science School of Management Shanghai China

ISBN: (纸本)9798350320404

With the acceleration of the aging process and the extension of life expectancy, the community is increasingly concerned about the pension problem. In order to better serve the needs of the elderly, accurately match the right pension mode, help pension industry in China to achieve more accurate marketing, improve customer recognition and core competitiveness, this article through the questionnaire survey to collect the elderly data, the K-means clustering algorithm for data processing and analysis, and according to the clustering results of endowment group classification in detail. The study found that it was most appropriate to cluster the sample data into four categories, and put forward suggestions according to the characteristics of the four groups of people. © 2022 IEEE.

关键词： K-means clustering

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