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Taekwondo action recognition model based on deep learning and key point matching technology

Taekwondo action recognition model based on deep learning an...

引用

signal processing, Communications and Engineering Management conference (ISPCEM), International

作者： Jin Senbo Guangzhou Tianxing Experimental School Guangzhou China

ISBN: (数字)9798331528676

ISBN: (纸本)9798331528683

In order to solve the problems in Taekwondo action recognition and key point matching, this paper proposes a hybrid matching model that combines YOLOv8 and an improved dynamic time warping (DDTW) algorithm. the model uses YOLOv8 to detect key points in each frame of the video. When the feature points are lost due to occlusion, the model tries to use the information of adjacent frames to compensate. At the same time, in order to reduce jitter, the key point coordinate sequence is smoothed by a low-pass filter. the key frames are matched by the DDTW algorithm, and the action score is calculated according to the best path found by the algorithm. the scoring basis includes the cumulative cosine similarity, action fluency and accuracy. the experimental results show that by combining the images of the three perspectives, the model has achieved significant improvement in recognition accuracy, especially in the key frame combination extracted at the quartile position, the highest recognition accuracy of the front view and the right view reached 92.1% and 94.3% respectively. the method shows strong robustness in noise and speed change processing, and is suitable for motion analysis, rehabilitation training and sports science.

关键词： Training Accuracy image recognition Heuristic algorithms signal processing algorithms Jitter Solids Robustness Real-time systems Sports

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Design and Implementation of Multi-core DSP Parallel Compiler Based on Otsu Method 20

Design and Implementation of Multi-core DSP Parallel Compile...

引用

Proceedings of the 4th International conference on Advances in image processing

作者： Tianxu Zhang Fanchen Meng Wuhan Institute of Technology China and Huazhong University of Science and Technology China Wuhan Institute of Technology China

ISBN: (纸本)9781450388368

this paper introduces the principle of the three classical and widely applied local value methods, including Otsu method, maximum entropy method and iterative method. It runs on VS2010 (Microsoft Visual Studio 2010) platform, compares and analyzes it. And then, selects Otsu method with relatively good results to transplant in standard C language on CCS (Code Composer Studio) platform. A multi-core DSP (Digital signal Processor) is established. After the TMS320C6678 environment, the OpenMP framework is used for parallel processing to optimize the Otsu method for fork-Join mode is used for parallel computing. Two cores, four cores and eight cores are used for fast processing of the Otsu method, summarize the law of speed increase. the results show that the parallel implementation of the digital image processing algorithm based on multi-core DSP in this paper can effectively improve the running speed on the basis of ensuring the accuracy of the Otsu method.

关键词： Parallel programming Multi-core DSP Otsu method Digital image processing

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Performance Analysis of JPEG2000 Transmission through low SNR MC-CDMA Channel

Performance Analysis of JPEG2000 Transmission through low SN...

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IEEE Malaysia International conference on Communications

作者： thiyagu Kathiyaiah Tick Hui Oh Faculty of Engineering and Technology Multimedia University

ISBN: (纸本)9781424455317;9781424455324

the demand for high data rate transmission is ever increasing everyday. Multi-carrier code division multiple access (MC-CDMA) system is considered as the forerunner and advancement in the mobile communication system. In this paper, two types of JPEG2000 lossily-compressed test images are transmitted through an MC-CDMA channel in low SNR (as low as 4dB) environment and their quality are evaluated objectively by using peak signal-to-noise ratio (PSNR) and root mean square error (RMSE). the test images are all compressed in the ratios of 10:1 up to 70:1 and the system involves multi-user image transmission in near real-time low SNR (±5dB). It is found that JPEG2000 image compression technique that applies wavelet transform performed rather well in the low SNR multipath fading channel and it looks quite promising for future applications.

关键词： MC-CDMA Low SNR JPEG2000 PSNR RMSE low SNR Multicarrier code division multiple access JPEG Peak signal-to-noise ratio ROOT-MEAN-SQUARE ERRORS Data transfer rates

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A recognition method for abnormal substation noise based on non-intrusive decomposition technology

A recognition method for abnormal substation noise based on ...

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New Energy and Power Engineering (ICNEPE), International conference on

作者： Ping Liu Ying Zhang Jianbo Shi Qini Zhu Liping Li Youyuan Fan Jie Xu State Grid Hubei Electric Power Co. Ltd. Wuhan China Electric Power Research Institute of State Grid Hubei Electric Power Co. Ltd. Wuhan China College of Electrical Engineering & New Energy China Three Gorges University Yichang China

ISBN: (数字)9798331516086

ISBN: (纸本)9798331516093

this study proposes a recognition method for abnormal substation noise based on non-intrusive decomposition technology. the aim is to achieve efficient separation and accurate identification of substation noise through advanced signal processing and deep learning technologies. Firstly, this method uses non-contact sound sensors to collect noise data at the plant boundary, including the operating noise of transformers and reactors. Subsequently, after data preprocessing and multi-scale decomposition of wavelet transform, combined with short-time Fourier transform (STFT) and Mel-frequency cepstral coefficients (MFCC) to extract time-frequency features, and then conduct joint analysis of time series and spectrum features through convolutional neural network (CNN). Finally, the model judges the noise state and distinguishes normal, early fault and fault states. Compared with traditional methods, this study has significant advantages in reducing monitoring costs, adapting to complex environments and accurately locating abnormal noise, providing an effective solution for fault detection of substation equipment.

关键词： wavelet transforms Time-frequency analysis Substations Costs Accuracy Noise Transformers Feature extraction wavelet analysis Convolutional neural networks

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An Efficient 2D Discrete Cosine Transform Processor for Multimedia applications

An Efficient 2D Discrete Cosine Transform Processor for Mult...

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IEEE signal processing and Communications applications (SIU)

作者： Hasan Erdem Yantir Ahmed M. Eltawil Khaled N. Salama Computer Electrical and Mathematical Sciences & Engineering (CEMSE) King Abdullah University of Science and Technology Thuwal Saudi Arabia

ISBN: (数字)9781728172064

ISBN: (纸本)9781728172071

the memory bottleneck is the biggest concern affecting the scalability of traditional computer architectures. Furthermore, the necessity of applications to process the huge amount of data is increasing, especially after the evaluation of artificial intelligence (AI). this fact forces researchers to move through the more data-centric architectures rather than the existing processor centric ones. In-memory processors are such architecture that combines the memory and processor in the same location to eliminate the memory bottleneck. Associative processors are an ideal candidate for in-memory computation, especially for signal processing since the data is a key point in these applications. To demonstrate this, 2D DCT is implemented in associate in-memory processors. According to the comparison with the state of the art hardware realization, the proposed accelerator achieves the best energy efficiency for 4K HD inputs at 30 frames per second.

关键词： Discrete cosine transforms Two dimensional displays Computer architecture Table lookup Mathematical model Registers image coding

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Enhancing Liver Cancer Detection with AI-Powered image processing

Enhancing Liver Cancer Detection with AI-Powered Image Proce...

引用

Sustainable Expert Systems (ICSES), International conference on

作者： A. Suresh Kumar S. Rajathi Vineetha Vargheese M. Sudha Anju A P. Lokeshkiran Department of Computer Science and Engineering Rathinam Technical Campus Coimbatore Tamil Nadu India Department of Information Technology Karpagam Institute of Technology Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering Rathinam Technical Campus Coimbatore Tamil Nadu India

ISBN: (数字)9798331540364

ISBN: (纸本)9798331540371

this project aims to identify liver tumors using deep learning techniques. the core of our approach is a sophisticated neural network trained on real CT scans of patients with liver tumors. By leveraging advanced signal-processing algorithms and deep learning models, our AI method accurately distinguishes between tumors and healthy liver tissue. Accurate identification of liver tumors on CT images is crucial for planning effective radiation therapy. CT and MRI scans provide detailed images of the internal structure of the body by analyzing tissues. Our primary objective is to develop an AI-driven neural network that can reliably identify liver tumors in these images. Given the variability in liver location among individuals, our approach employs specific techniques to ensure precision. Using U-net technology, our goal is to enhance the speed and accuracy of tumor identification, thereby improving patient access to timely and accurate diagnoses. this project underscores the significant potential of deep learning applications in health care.

关键词： Deep learning image segmentation Accuracy Computed tomography Neural networks Liver Planning Radiation therapy Object recognition Tumors

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Non-Contact Breathing signal and Rate Estimation Based on EEMD Using IR-UWB

Non-Contact Breathing Signal and Rate Estimation Based on EE...

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International conference on Smart Sensors and Application (ICSSA)

作者： Siti Mahfuzah Fauzi Latifah Munirah Kamarudin Ammar Zakaria Muhammad Husaini Nadri Faculty of Electronic Engineering & Technology Universiti Malaysia Perlis Perlis Malaysia Faculty of Information & Communication Technology Universiti Tunku Abdul Rahman Perak Malaysia

ISBN: (数字)9798350354294

ISBN: (纸本)9798350354300

Impulse Radio Ultra-Wideband (IR-UWB) radar technology has great promise for non-contact sensing applications, especially for detecting human vital signs like breathing rate (BR) and figuring out a person's range. A methodology for determining the breathing frequency and range of stationary sit-still individuals at four distinct ranges-1 $m$ , 1.5 m, 2 m, and 2.5 m-is shown in this work. the preprocessing methods suggested by the study include average subtraction and the Discrete wavelet Transform (DWT). In order to determine the human BR in the frequency domain, the chosen bin is decomposed using Ensemble Empirical Mode Decomposition (EEMD) and processed using the Fast Fourier Transform (FFT). An X4M03 (IR-UWB) radar was used to collect data for the assessment of the approach, and Python software was used to handle the raw signals that were reflected. According to the experiment results, the subjects' accuracy was maximum at a range of 1 $m$ , scoring 93.07%.

关键词： Accuracy Fast Fourier transforms Radar measurements Radar detection signal processing Software Discrete wavelet transforms History Ultra wideband technology Python

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A new robust observer-based sliding-mode control design for uncertain discrete systems with time-varying delay and subject to Hölder nonlinearities

A new robust observer-based sliding-mode control design for ...

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conference on Control and Fault-Tolerant Systems (SysTol)

作者： Sonia Ghrab Sofiane Ahmed-Ali Nicolas Langlois Hassani Messaoud Laboratory of Control Signal and Image Processing University of Monastir Monastir Tunisia Normandie Univ Laboratoire IRSEEM Saint-Etienne-du-Rouvray France

ISBN: (纸本)9781728103815

In this paper, we design a new robust Observer-based Discrete-Time Sliding Mode Control for an uncertain linear discrete-time delay system. the considered system is subject to time-varying states delay, unmatched Unknown and norm-Bounded UBB parametric uncertainties, external disturbances and nonlinearities which are assumed to satisfy a Hölder condition. A new delay-dependent sufficient conditions guaranteeing the robust asymptotic stability of the closed-loop system is derived in terms of Linear Matrix Inequalities. With respect to these conditions, a new discrete-time sliding mode control law is designed based on a novel observer structure and a new sliding surface. A numerical example is presented to illustrate the efficiency of our proposed approach.

关键词： Observers Time-varying systems Delays Sliding mode control Symmetric matrices Uncertainty Asymptotic stability

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Research on Unmanned Aerial Vehicle vision-aid landing with Dynamic vision sensor

Research on Unmanned Aerial Vehicle vision-aid landing with ...

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IEEE Advanced Information Technology, Electronic and Automation Control conference (IAEAC)

作者： Juntong Zhang Yanxiang Hu Bo Zhang Qian Gao College of Computer and Information Engineering Tianjin Normal University Tianjin China

Compared with the conventional frame-based image sensor, Dynamic Visual Sensor (DVS) only sensitive to the intensity changes in the scene, and then serially send out these changes in the form of Activity Event (AE). Taking advantage of real-time, low redundancy and small data volume of DVS, we exploit a novel method for Unmanned Aerial Vehicle (UAV) vision-aid landing. In our method, discrete AEs within a varying period are accumulated to form an event map at first. then the template matching technology is employed to locate the landing mark. Based on the recognized landing mark, local optical flow estimation and real speed projection are conducted to provide more aux information for accurate landing. In the experiments, a simulation platform is setup verify the effectiveness of our methods under various external environments. the experimental results show that the proposed algorithm can accurately measure the location and relative speed of landing marks.

关键词： Voltage control Optical flow Estimation Unmanned aerial vehicles Cameras signal processing algorithms Fitting

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Cognitive Architecture Based Spectrum Sharing between 4G LTE-Advanced Network and TV Band

Cognitive Architecture Based Spectrum Sharing between 4G LTE...

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International conference on Advanced Technologies for signal and image processing (ATSIP)

作者： Hashim Elshafie Naoufel Kraiem Rashid A. Saeed K Saleem A Shahid Khan Mosab Hamdan College of Computer Science King Khalid University Al Farah Abha Saudi Arabia College of Computers and Information Technology(CIT) Taif University Taif Saudi Arabia Center of Excellence in Information Assurance (CoEIA) King Saud University Riyadh Saudi Arabia Faculty of Computer Science and IT Universiti Malaysia Sarawak Kota Samarahan Sarawak Malaysia Walton Institute for Information and Communication Systems Science South East Technological University Waterford Ireland

ISBN: (数字)9798350351484

ISBN: (纸本)9798350351491

there is now a barrier in place because to the exponential increase in demand for faster wireless communications to meet the needs of more applications. there are almost no remaining frequency bands to allot for new systems since the spectral resources are running low. Based on a geographic TV database, this article presents the prospective approach sharing concerns between LTE-Advanced and TV band. the enabling technology will work with LTE-Advanced devices to address the TV band’s under used

关键词： Wireless communication TV Databases image processing White spaces Long Term Evolution

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