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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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Diabetic retinopathy detection using a pretrained machine learning model 3

Diabetic retinopathy detection using a pretrained machine le...

引用

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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Research on Image processing and Generative Teaching in the Context of AIGC 3

Research on Image Processing and Generative Teaching in the ...

引用

3rd international conference on Information science and Education, ICISE-IE 2022

作者： Rao, Jian Qiu, Chuqi Xiong, Mengzhen Art and Design College Wuhan China

ISBN: (纸本)9798350320381

AIGC, meaning AI-generated content, is discussed in this paper, mainly in the form of painting, without discussing the automation of music composition and text-writing poetry, etc. While generative art has aesthetic characteristics, more content needs to be studied in the context of computer information science, with a particular emphasis on computer vision and computer graphics. The article focuses on a comparative analysis of two models, diffusion algorithms and generative adversarial networks, and their application to tools. The practical part of image processing uses a combination of case studies and questionnaires to demonstrate the lack of methodology, teaching experience, and introductory learning materials for non-computer professionals in the emerging field, and to explain "filter mapping"through processing, a visual programming software. The author's reflections on the generated content combine the self-similarity of the "Uncanny Valley effect"and the "Dunning Kruger effect"lineage, comparing the "self-organizing"(machine) simulation personification and the "life form"(human) simulation personification. The process of cognitive assimilation of a "living organism"(human) is used to understand the new human-machine associative relationship. © 2022 IEEE.

关键词： Mapping

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Differential sparse single-pixel imaging with wavelet coefficients 3

Differential sparse single-pixel imaging with wavelet coeffi...

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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： Wang, Qian Huo, Yaoran Leshan Vocational and Technical College Leshan China Information & Communication Company State Grid Sichuan Electric Power Company Chengdu China

ISBN: (纸本)9781665459112

Wavelet tree-based adaptive compressed ghost imaging has higher imaging speed and better imaging quality than compressed sensing methods. However, the number of samples can be reduced, since finer significant coefficients can be calculated with the existing measurements. This paper proposes a compressive adaptive ghost imaging with block-wise computational sampling in this paper. This method takes full use of the sparsity of the image in the wavelet domain. The block-wise computational sampling computes four LL band coefficients of high resolution via fewer than two measurements. The calculation strategy takes the useful information of the sampled low-resolution coefficients. This brings in fewer measurements. The computed LL band coefficients are also used to sample significant HH, HL, and LH coefficients of the same scale. The extended prediction method can accurately locate the positions of the important coefficients, by eliminating insignificant coefficients that belongs to significant parent coefficient. The simulation results show that the proposed compressive adaptive ghost imaging using block-wise computing sampling can achieve lower rate of sampling and advanced imaging quality. © 2022 IEEE.

关键词： Optical data processing

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Radar signal recognition method based on SVM model 3

Radar signal recognition method based on SVM model

引用

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

作者： Tian, Letian Zeng, Zhaowen Chang, Zhiyang Zhang, Sheng College of Information and Communication National University of Defence Technology Hubei Wuhan China

ISBN: (纸本)9781510661240

Radar signal recognition is a key step of electronic reconnaissance. In order to use various parameters of radar signal to identify its country in complex electromagnetic environment, this paper analyses the characteristics of radar signal and the development status of related recognition methods. Aiming at the support vector machine (SVM) classification algorithm in machine learning, this paper studies the feature selection and the establishment, evaluation and optimization of model, and completes the programming and application of the algorithm, the recognition accuracy and efficiency are improved. The research shows that when SVM is applied to radar signal recognition, the classification accuracy is more than 93% and the AUC value is more than 0.99. © 2022 SPIE.

关键词： Support vector machines

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A Digital processing Method of MSK signal Based on ADC 3

A Digital Processing Method of MSK Signal Based on ADC

引用

3rd IEEE China international Youth conference on Electrical Engineering, CIYCEE 2022

作者： Lou, Hangchuan Wu, Xianglong Tu, Junyao Long, Gen Liu, Hengyang Kong, Wubin School of Electrical and Electronic Engineering Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan430074 China Wuhan Maritime Communication Research Institute Wuhan430010 China

ISBN: (数字)9781665477321

ISBN: (纸本)9781665477321

A digital processing method of the minimum shift keying (MSK) excitation signal is proposed for cascaded power amplifiers with phase shift control. Through the mathematical characteristics of MSK signal, the frequency extraction of MSK excitation signal and the accurate judgment of code conversion time are realized by Analog-to-digital converter (ADC). To avoid the accumulation of errors in frequency detection, a comparator is used at the beginning of each cycle to calibrate the inverter output signal and MSK excitation signal. Compared with traditional analog method, the proposed method is realized by ADC, which has the advantages of simple structure, high precision, and high waveform reduction Simulation models of digital and analog extraction method are constructed, indicating that the method has the advantages of accurately judging the code conversion time and extracting the frequency. The method can realize the digital processing of MSK signal and generate the control signal of cascaded power amplifiers with phase shift control. © 2022 IEEE.

关键词： Power amplifiers

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Age & Gender Recognition Using Deep Learning 3

Age & Gender Recognition Using Deep Learning

引用

3rd international conference on Intelligent Computing, Instrumentation and Control Technologies, ICICICT 2022

作者： Arshin Rizwana, S. Viji Rajendran, V. Nss College of Engineering Department of Computer Science Palakkad India

ISBN: (数字)9781665410052

ISBN: (纸本)9781665410052

Human face image analysis is an important area of research in the science of computer vision. The human face conveys a wealth of information about their particular qualities. One of the most essential challenges in computer vision is recognising a person's gender and age from a facial picture. The most significant characteristics derived from human faces are the eyes, nose, mouth, brows, and so on. These characteristics are employed in a variety of Human-computer Interaction sectors, including security systems, judicial systems, transportation, medical, and many more. The first stage of age and gender recognition is detecting face from the inputted image. There are different techniques for face detection. The next stage is pre-processing where cropping and resizing of image for fast processing the last stage is feature extraction and classification by using deep convolution network. The various methods involved in these stages are studied and from the study building an Age and Gender Recognition System using deep learning. © 2022 IEEE.

关键词： Face recognition

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The Research on Analyzing the Number of signal Definitions of In- Vehicle CAN Networks 3

The Research on Analyzing the Number of Signal Definitions o...

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

作者： Cheng, KeFei Zhang, HanWen Cui, XiaoTong Zhang, Liang School of Cyber Security and Information Law Chongqing University of Posts and Telecommunications Chongqing400065 China College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China

ISBN: (纸本)9783800758760

In recent years, automotive cyber security has attracted widespread attention as vehicles continue to suffer from cyber attacks. Some of these attacks aim to penetrate into in-vehicle CAN networks such that the underlying vehicle could be controlled. Intrusion detection systems are then proposed for in-vehicle networks. However, the application of related security methods and tools is hindered by the non-uniform format of proprietary message definitions of in-vehicle networks. To solve the above problem, this paper proposes a method for identifying and analyzing the number of bus protocol signal definitions. The method performs classification by extracting frequency features and finally obtains the number of signal definitions. The experimental results show that the method can effectively identify the number of signal definitions, which is important and promising for reverse analysis of bus messages in subsequent security research. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Vehicles

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Language Identification Based on Residual Network and Attention Mechanism 3

Language Identification Based on Residual Network and Attent...

引用

3rd international conference on Pattern Recognition and Machine Learning, PRML 2022

作者： Zeng, Ailing Ablimit, Mijit Hamdulla, Askar School of Information Science and Engineering Xinjiang University of China China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Xinjiang Key Laboratory of Multilingual Information Technology China

ISBN: (数字)9781665499507

ISBN: (纸本)9781665499507

Language identification process is necessary for the downstream tasks of cross lingual and multi-lingual application. This paper proposes a language recognition method based on ResNet-CA-BiGRU-Attention model. Firstly, the speech signal is converted into the corresponding spectrogram, and then the residual network is used for feature extraction according to the distribution of speech energy on the spectrogram. Coordinate Attention and Attention are used to highlight corelated features and suppress irrelevant features. In this paper, five languages are selected from the Common Voice data set. Experimental results show that the proposed language recognition method based on ResNet-CA-BiGRU-Attention model can effectively improve the performance of language recognition. © 2022 IEEE.

关键词： Natural language processing systems

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Fusion model of Modified Wavelet Transform and Neural Network for medical image compression 3

Fusion model of Modified Wavelet Transform and Neural Networ...

引用

3rd international conference on Electronics and Sustainable Communication Systems, ICESC 2022

作者： Shyamala, N. Geetha, S. Nallamuthu Gounder Mahalingam College Ug Department of Computer Applications Pollachi642002 India Government Arts and Science College for Women Department of Computer Science Puliakulam CBE-641045 India

ISBN: (数字)9781665479714

ISBN: (纸本)9781665479714

Medical imaging is one of emerging fields that has high impact on analysis and diagnosis of diseases. Image compression is introduced in the medical image processing to solve memory and bandwidth requirement problems. In this paper, a hybrid image compression method by integrating Modified Wavelet Transform (MWT) and Neural Network (NN) is proposed for efficient storage as well as transmission of medical images. Primarily, medical images are preprocessed using median filter to suppress noisy data and then decomposed into approximation and detailed coefficients using wavelet transform. Subsequently, detailed coefficients are filtered with proposed thresholding technique. Both approximation and detailed coefficients are divided into sub matrix with the size of n x n and used as input to the NN to perform compression. The image compression performance of the proposed method is evaluated by computing peak signal to noise ratio, compression ratio and storage space and compared with prevailing methods to prove its effectiveness. The empirical findings reveal that the proposed method provides best performance compared to the former methods taken for comparison. © 2022 IEEE.

关键词： Wavelet transforms

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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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