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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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A Time-frequency Analysis Method for Monitoring Aircraft Docking 3

A Time-frequency Analysis Method for Monitoring Aircraft Doc...

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2022 3rd international conference on computer Information and Big Data Applications, CIBDA 2022

作者： Di, Shuai Zhang, Xuanyi Xu, Yingchao Wang, Hanlin Du, Maowei Zhang, Wenxin Information Science & Technology Department Beijing Capital Airport Co. LTD Beijing China Quality&Safety Department Capital Airports Holdings Limited Beijing China College of Automation Beijing Information Science and Technology University Beijing China

ISBN: (纸本)9783800758760

Linear Frequency Modulation Continuous Wave (LFMCW) radar can be used to monitoring the aircraft docking as its high range resolution. The linearity of linear LFMCW radar affects the measurement accuracy. In this article, a method to detect the linearity is presented. The fractional Fourier transform (FRFT) is used to calculate the frequency modulation (FM) rates. Let LFMCW radar signal mix with a ideal linear frequency modulation (LFM) signal, the intermediate frequency (IF) signal can be obtained and the Wigner-Ville Distribution (WVD) transform can be used to estimate the time-frequency function of the IF signal. This method can achieve a high precision time-frequency analysis. The measurement can show the precision of the presented method. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Wigner-Ville distribution

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Application of computer 3D printing technology in jewelry processing model 3

Application of computer 3D printing technology in jewelry pr...

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3rd international conference on computer science and Communication Technology, ICCSCT 2022

作者： Shi, Zhongwen Shanghai Art and Design Academy Shanghai China

ISBN: (纸本)9781510661240

In the 21st century, human beings have entered the information age. Knowledge and technology have become the core competitiveness. computers are widely used in all walks of life and become an indispensable thing in our lives. People's thoughts, inner spiritual needs and artistic aesthetics are also imprinted on it. The imprint of the information age. In recent years, 3D printing technology has penetrated into our lives, and artists are constantly experimenting due to its novel molding methods. The main purpose of this paper is to study the application of computer 3D printing technology in jewelry processing models. Starting from the advantages of computer 3D printing technology, it analyzes how computer 3D printing technology is applied in the processing model of jewelry, and the necessity of application, through the comparison of casting model statistics and casting methods. © 2022 SPIE.

关键词： 3D printers

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Lightweight convolution-based Chinese Speech Synthesis Method 3

Lightweight convolution-based Chinese Speech Synthesis Metho...

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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： Yang, Ruotong Shen, Yunfei Yi, Nian Fan, Zhixing Liu, Jiajun Aishan, Wumaier Xinjiang University School of Information Science and Engineering Urumqi China Xinjiang University School of Software Urumqi China

ISBN: (纸本)9781665459112

Speech synthesis technology is one of the key technologies for human-computer speech interaction and is widely used in various fields such as audiobooks and information broadcasting. In this paper, we propose a speech synthesis model based on lightweight convolution (Lightweight Convolution-Tacotron2, LConv-T) to address the problems of severe long-distance information loss and slow inference in Tacotron2 speech synthesis model using recurrent neural networks. The encoder uses multiple lightweight convolutional modules connected in a densely connected manner to obtain the contextual information of the input text over long distances. To address the shortcomings of the proposed LConv-T model for speech synthesis, this paper further proposes a Tacotron2-based feature fusion speech synthesis model (Dynamic Lightweight Convolution-Tacotron2, DLConv-T), which can improve the stability of speech synthesis by using the Bi-LSTM and dynamic lightweight convolution modules respectively. The text feature extraction effectively improves the speech synthesis effect. The experimental results show that compared with the Tacotron2 model, the LConv-T and DLConv-T models reduce the objective evaluation MCD values by 0.15db and 0.42db, and improve the subjective evaluation MOS by 0.15 and 0.47, respectively. © 2022 IEEE.

关键词： Convolution

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Data Pre-processing Method for Industrie 4.0 Applications 3

Data Pre-Processing Method for Industrie 4.0 Applications

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3rd international conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Czwick, Cordula Anderl, Reiner Tech Univ Darmstadt Dept Comp Integrated Design Otto Berndt Str 2 D-64287 Darmstadt Germany

The approaches and visions of Industrie 4.0 developed in recent years enable an increase in productivity and efficiency within production while simultaneously increasing flexibility and autonomy. Decisions are made and processes optimized on the basis of collected data from machines and components. To fully exploit the potential of Industrie 4.0, a suitable data basis is necessary. There are limitations regarding the availability and quality of data, but also an oversupply of data without potential to gain additional information is a challenge. Within this paper, a method for data pre-processing in Industrie 4.0 is therefore developed, which aims at increasing the quality of the data and a subsequent successful modelling depending on the underlying use case. To validate the method, three representative use cases are explained and the method for data pre-processing is applied based on these use cases. The paper ends with a discussion of the results. (C) 2022 The Authors. Published by Elsevier B.V.

关键词： data pre-processing data quality Industrie 4.0 use cases

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computer Modeling and Simulation of Mixed Traffic Flow under Turn signal and Honk Effect 3

Computer Modeling and Simulation of Mixed Traffic Flow under...

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3rd international conference on computers, Information processing and Advanced Education, CIPAE 2022

作者： Wang, Chao Wei, Liying School of Traffic and Transportation Beijing Jiaotong University Beijing China

ISBN: (纸本)9781665468121

To study the influence of turn signal and honk in the mixed traffic flow including motor vehicle, electric bike and bike, a four-lane cellular automata model is established. The motor vehicle turns on the turn signal before changing lane, which can decelerate the latter vehicle on the adjacent lane. The motor vehicle can honk to make the preceding electric bike change lane, which is called 'the first-honk'. Besides, the electric bike can honk to make the preceding bike change lane, which is called 'the second-honk'. The simulation results show that the turn signal effect and honk can significantly reduce obstruction in space-time diagram. The turn signal effect decreases the motor vehicle flow, but two honk effects can increase it. The turn signal effect and the second-honk improve the non-motor vehicle flow, but the first-honk reduces it. The density section in which these effects occur frequently is very different. © 2022 IEEE.

关键词： Cellular automata

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Research on R-wave recognition method for ECG signal in the optimized firing process 3

Research on R-wave recognition method for ECG signal in the ...

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3rd international conference on computers, Information processing and Advanced Education, CIPAE 2022

作者： Qiu, Jingjie Zhao, Fadong Lu, Ling Zhuang, Hongwei Engineering University of PAP Xi'an710086 China

ISBN: (纸本)9781665468121

R wave, as an important reference for determining each band of ECG signal, is the premise of ECG automatic analysis. In view of the problem that the preprocessing process of most R-wave recognition algorithms affects the recognition accuracy, a new R-wave recognition method based on the combination of wavelet transform and adaptive threshold method is proposed, which improves the stability and accuracy of R-wave recognition. Firstly, the ECG signal is decomposed based on wavelet, and the 23rd layer wavelet signal is obtained. Then the sliding window width and initial threshold are set. The threshold is adjusted according to the signal situation and the window width is increased to quickly identify the R wave. Finally, the simulation results show that the algorithm is effective in R-wave recognition of heart rate variability ECG signal during shooting. © 2022 IEEE.

关键词： Wavelet transforms

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3rd international conference on Innovations in computer science and Software Engineering, ICONICS 2022

3rd International Conference on Innovations in Computer Scie...

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3rd international conference on Innovations in computer science and Software Engineering, ICONICS 2022

ISBN: (纸本)9781665461412

The proceedings contain 28 papers. The topics discussed include: experimentation for decentralized resource-based multi-pool mining in Ethereum blockchain;performance enhancement in agriculture sector based on image processing;frameworks, applications and challenges in streaming big data analytics: a review;prevention and safety strategies for road accidents by using evolutionary algorithms;intrusion detection using deep learning techniques;analyzing applicant’s pre-admission data and predicting applicant’s performance in pre-admission test using data mining techniques;quantum computing and machine learning algorithms - a review;real-time violence detection using deep learning techniques;a study on the e-commerce trends using data analysis;and a systematic review on the motivations of cyber-criminals and their attacking policies.

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A Simultaneous Hole, Groove and Defect Detection Method Based on Yolov4-tiny and MMOE 3

A Simultaneous Hole, Groove and Defect Detection Method Base...

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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： Lin, Haicheng Gong, Jie Chen, Xiang Xie, Xiaohua Tang, Hengliang Jiang, Junfeng Sun Yat-sen University School of Computer Science and Engineering Guangzhou China Sun Yat-sen University School of Electronics and Information Technology Guangzhou China Guangdong Xinguang Intelligent System Co. Ltd. Zhongshan China

ISBN: (纸本)9781665459112

The quality detection of furniture boards is one of the most important parts of the furniture board quality control process. The boards may contain round holes, grooves, and defects for various reasons. In industry, it is necessary to detect them in real time. This paper proposes a multi-objective detection method based on the Yolov4-tiny and Multi-Gate Mixture-of-Experts(MMOE) structure that can simultaneously detect round holes, grooves and defects in high resolution board images in real time. Considering the high resolution of the board image and the small size of the dataset, data pre-processing and data augmentation are performed to reduce the size of the image and increase the size of the dataset. In consideration of the difference in the characteristics of the hole, groove and defect. the task of detecting defects and the task of detecting holes and grooves are decoupled, and different task headers and gate networks are designed. Finally, it is tested on a real production line and the combined mAP reaches 75.49% and the detection takes only 20ms. © 2022 IEEE.

关键词： Object detection

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Diabetic retinopathy detection using a pretrained machine learning model 3

Diabetic retinopathy detection using a pretrained machine le...

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3rd IEEE international conference on Electronics, Control, Optimization and computer science, ICECOCS 2022

作者： Sbai, Asma Touil, Abdelali Oukhouya, Lamya Cady Ayyad University Laboratory of Bioscience and Health Faculty of Medecine and Pharmacy of Marrakech Marrakech Morocco Faculty of Sciences Ibn Zohr University Laboratory of Engineering Sciences Agadir Morocco Ibn Zohr University Laboratory LIMA ENSA Agadir Agadir Morocco

ISBN: (数字)9781665457231

ISBN: (纸本)9781665457231

One of the possible side effects of diabetes is Diabetic Retinopathy. Early diagnosis of diabetic retinopathy is an important step toward healing and can prevent many patients from potential blindness. To identify diabetic retinopathy, practitioners may need an artificial intelligence tool to provide a second opinion to confirm or refute a diagnosis. In this article we use a pretrained machine learning model to find a solution to the issue of low-quality inputs by implementing, in the pre-processing step, the technique of Contrast Limited Adaptive Histogram Equalization to extract more features especially the blood vessels. © 2022 IEEE.

关键词： computer aided diagnosis

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An Extensible Framework for Task Partitioning on Heterogeneous Systems 3

An Extensible Framework for Task Partitioning on Heterogeneo...

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3rd international conference for Emerging Technology, INCET 2022

作者： Yekbote, Pavan Raj, Poojita Anupindi, Ravi S. Sudarshan, T.S.B. Pes University Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9781665494991

High performance computing applications have witnessed significant speedups in performance from leveraging the compute capabilities of heterogeneous platforms. These speedups are seldom taken advantage of in practice partly due to the inefficacy of mapping parallel sections of an application to specific processing units. Ascertaining this mapping necessitates taking into account the run time and compile time features of the application on a heterogeneous platform. This paper proposes a framework capable of classifying a high performance computing application to its optimal partitioning in a heterogeneous CPU-GPU target system. This classifier has been trained on a combination of run time execution metrics and compile time static code features of applications from different domains collected from benchmark suites such as Rodinia [1] and OmpSCR [2]. The contribution of this work is twofold - an extensible framework demonstrating the utility of accurate mapping and a pair of data sets that exhibit the significance of run time and compile time features on the framework estimating the effect of varied input type and size. © 2022 IEEE.

关键词： Graphics processing unit

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