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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91-100 订阅

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Fuzzy expert compensation controller for converters based on down slag images 3

Fuzzy expert compensation controller for converters based on...

引用

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

作者： Ma, Mingze Li, Ailian Liu, Haonan School of Information Engineering Inner Mongolia University of Science and Technology Baotou014010 China

ISBN: (纸本)9783800758760

Based on the large number of domestic converters and the fact that many of them are statically regulated, a targeted combination of image processing and other technologies is used to improve the shortcomings of static regulation and to develop a steel quality evaluation model for converters with a high hit rate that is suitable for the field environment. The output of the steel quality evaluation model is combined with the expert knowledge of the converter smelting process and the process data to establish a fuzzy expert compensation controller based on data fusion for the initial batching of converter steel, which can adjust the initial batching of the next furnace, so as to improve the one-pour hit rate, shorten the melting cycle and reduce the cost. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Data fusion

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Design and Implementation of High Frequency Functional signal Generator using DDFS based on 16-stage pipelined COrdIC architecture 3

Design and Implementation of High Frequency Functional Signa...

引用

3rd international conference for Emerging Technology, INCET 2022

作者： Mohanty, Kalinga Reddy, D. Ramesh Chitra, P. Ramana Reddy, G. Sankar, P. Ravi Prakash, K. National Institute of Technology Warangal Department of Electronics & Communication Enginnering Warangal506004 India Department of Ece Tamilnadu Chennai India

ISBN: (纸本)9781665494991

Frequency synthesizer has been used in numerous communication applications. This is acknowledged as the heart of the electronics systems. Numerically controlled oscillator (NCO) is the primary part of this frequency synthesizer, which helps in generating high precision & high frequency signal. One of the best suited methods to empower the NCO is COrdIC algorithm. COrdIC (Coordinate Rotation Digital computer) algorithm is one of the well-known methods used for the trigonometric & arithmetic calculation and applications of digital signal processing. This algorithm can work with higher efficiency for the signal generation & hardware utilization. COrdIC architecture is used in the NCO, which is the central part of DDFS (Direct Digital Frequency Synthesis) to produce analog signal. Here in this paper, a sinusoidal waveform generator is implemented using an efficient 16-stage pipelined COrdIC architecture with a very small look-up table (LUT). The architecture is designed, and its RTL simulation is carried out using Xilinx Vivado. The purpose of the work is to improve the output frequency and the accuracy. The architecture had been implemented on a Xilinx Spatran-6 (XC6SLX9) FPGA & the final results showed that the proposed pipelined architecture is capable of generating a maximum output frequency of 157.684 MHz with less than 1% (approximately 0.34%) of error. © 2022 IEEE.

关键词： Frequency synthesizers

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GOSGAN: An Adaptive Atomic Force Microscope Imaging Repair Model for Cell Scanning 3

GOSGAN: An Adaptive Atomic Force Microscope Imaging Repair M...

引用

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

作者： Li, Jingxin Xu, Hongmei Cui, Haobo Yuan, Lixin Changchun University of Science and Technology International Research Centre for Nano Handling and Manufacturing of China Changchun China

ISBN: (纸本)9798350320404

In recent years, Atomic Force Microscopy (AFM) has played an irreplaceable role in cell biology as it can measure the local mechanical information of individual cells while observing the surface morphology of cells. To address the problems of long scanning time and poor image quality, this paper attempts to introduce a super-resolution method to optimize the images in order to reduce the imaging time, reduce probe loss and improve the image quality. The proposed method is based on the existing super-resolution method of generative adversarial networks and is designed to introduce a self-attentive information fusion module to enhance the organic fusion of a priori and input while improving the richness of the a priori information encapsulated in the network, and to propose GOSGAN. In addition, a large-scale data generation model and a targeted image degradation model are introduced to address the problem of difficult access to AFM data. The final experiment achieves a peak signal-to-noise ratio (PSNR) and structural similarity ratio (SSIM) of 26.8 dB and 0.92, respectively, on its own validation set. © 2022 IEEE.

关键词： Image enhancement

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Time-frequency Analysis of Non-stationary signal Based on Sliding Mode Singular Spectrum Analysis and Wigner-ville Distribution 3

Time-frequency Analysis of Non-stationary Signal Based on Sl...

引用

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

作者： Li, Zhe Sun, Shilin Wang, Yichuan Dai, Weiguo Qiu, Jiaxing Liu, Zhen Naval Submarine Academy Qingdao China

ISBN: (纸本)9798350320381

In order to obtain better performance of time-frequency representation(TFR) in non-stationary signal processing using Wigner-Ville distribution(WVD), an adaptive time-frequency analysis method based on combination of sliding mode singular spectrum analysis(SM-SSA) and Wigner-Ville distribution(SM-SSA-WVD) was proposed. Through mode decomposition of original signal by SM-SSA and linear superposition of TFRs for each mode by WVD, the cross terms are effectively suppressed, which obtaining higher adaptive ability and energy concentration of WVD results comparing to the traditional WVD methods. The proposed cross-term free method is applied to analyze several kinds of simulated clean and noisy multi-component modulated signals. The TFRs of the proposed method work better in restraining the cross terms of WVD than some other adaptive decomposition methods, thus obtaining higher time-frequency resolution and noise robustness. © 2022 IEEE.

关键词： Wigner-Ville distribution

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Research on the Application of 5G Communication Technology in the Development of computer Internet of Things 3

Research on the Application of 5G Communication Technology i...

引用

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

作者： Zhou, Yuankun Fujian University of Technology Fujian350000 China

ISBN: (纸本)9781665468121

The article proposes a 5G-oriented cellular Internet of Things architecture, which separates the transport layer and the edge computing layer, and decouples the fog computing and cloud computing layers. The article discusses the functions of each layer and analyses the data flow in the network architecture. At the end of the article, a demodulation test of the cellular IoT signal is carried out. The results show that the cellular Internet of Things has the characteristics of low speed, wide coverage and low power consumption, which can better meet the needs of Internet of Things applications, and has reference significance for 5G cellular Internet of Things applications. © 2022 IEEE.

关键词： Internet of things

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Design of art design system based on computer image processing technology 3

Design of art design system based on computer image processi...

引用

3rd international conference on computer Communication and Network Security, CCNS 2022

作者： Zhao, Baoyang Jiangxi University of Applied Science Jiangxi Nanchang330041 China

ISBN: (纸本)9781510660113

Image as an important communication medium, how to obtain clear and high-quality image data has become a hot topic and subject of research, and the quality of image will affect future image processing and use. Autofocus technology is of great significance in medical microscopes, scanners, satellite navigation, space exploration, robot vision and automatic monitoring. Compared with the conventional focusing technology, the image-based automatic focusing technology is a kind of relying on the collected image data without additional photoelectric detection device. © 2022 SPIE.

关键词： Ethernet

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Motor Imagery EEG signal Classification Using Deep Neural Networks 1

引用

3rd international conference on Computing science, Communication and Security (COMS)

作者： Nakra, Abhilasha Duhan, Manoj DCRUST Sonepat India

ISBN: (数字)9783031105517

ISBN: (纸本)9783031105517;9783031105500

EEG signals can be considered a secure and safe way to capture human brain activity. EEG signals can play a vital role in motor imagery applications to control hands, feet, etc. Brain computer interface (BCI) is method of connecting human brain to laptop or computer. To control the movement of hands and feet, a BCI system is required. The generated EEG signal is read via computer and, as per EEG signal command, is set for motory movement of the hand and feet. Therefore, in motor imagery EEG applications, proper classification of the EEG signal is desired to distinguish hand and foot movements. In this work, an EEG signal classification is done using Deep Neural Networks (DNN) method and the results are compared with recent notable methods.

关键词： BCI EEG DNN

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Cervical cell classification based on attention mechanism and multi-resolution feature fusion 3

Cervical cell classification based on attention mechanism an...

引用

3rd international conference on Information science, Parallel and Distributed Systems, ISPDS 2022

作者： Yu, Jingya Wang, Guoyou Cheng, Shenghua School of Automation Huazhong University of Science and Technology National Key Laboratory of Science and Technology on Multispectral Information Processing Wuhan China Britton Chance Center School of Engineering Sciences Huazhong University of Science and Technology Moe Key Laboratory for Biomedical Photonics Wuhan China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

Liquid-based thin-layer cell smears are very important for the early screening and prevention of cervical cancer, and computer-aided diagnosis can reduce the workload of pathologists. The cell classification method based on deep learning can process data efficiently. However, most classification methods are based on a single resolution for recognition. When the resolution is low, the processing speed of the whole slide image is faster, but lack of picture details, which makes the identification inaccurate. When the resolution is high, it takes more time to process the whole slide image, but with more image detail. To this end, we propose a model based on Attention Mechanism and Multi-resolution Feature Fusion Module (AMFM), which combine the advantages of various resolutions to classify cervical cells. Experiments show that the accuracy is increased by 3.93% and the AUC is improved by 0.022 on the four-classification task of the cervical cell compared to the model based on a single resolution. © 2022 IEEE.

关键词： computer aided diagnosis

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Emotional Analysis Through Deep Learning Models 3

Emotional Analysis Through Deep Learning Models

引用

3rd international conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2022

作者： Lakshmanan, M. Mala, G.S. Anandha Sri Venkateswara College of Engineering Anna University Computer Science and Engineering Chennai India Easwari Engineering College Anna University Computer Science and Engineering Chennai India

ISBN: (纸本)9781665456647

Physical fatigue is a major contributor to emotional suffering. Recently, scholars have been interested in emotion analysis. The first stage involves researching and pre-processing the content of emotional fatigue. The findings of a survey of novel theories, methods, and tools for speech emotion analysis are presented in this work. It introduces the idea of emotional exhaustion and categories it. Then, utilising multimodal data, the system is configured to identify emotional tiredness. The approach for recognising emotions in different voices is suggested in this study and is based on deep learning. Using many channels of a recurrent neural network, the system extracts audio data components for emotional recognition. Finally, the multi-modal data components are merged for emotion prediction. The speech analysis techniques, datasets, and resources are compiled. These results could shed light on applications of emotional contact as network nationalism, social networking, and human-computer interaction. © 2022 IEEE.

关键词： Human computer interaction

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HADOOP- An Open Source Framework for Big Data 3

HADOOP- An Open Source Framework for Big Data

引用

3rd international conference on Intelligent Engineering and Management, ICIEM 2022

作者： Gupta, Manish Kumar Pandey, Shrawan Kumar Gupta, Anish Buddha Institute of Technology GIDA Department of Computer Science and Engineering Gorakhpur India Apex Institute of Technology Chandigarh University Department of Computer Science and Engineering Punjab Mohali India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

In this paper we will discuss about an open source framework for storing and processing a huge amount of data, known as HADOOP (High Availability Distributed Object Oriented Platform). Originally HADOOP is written in Java Language. HADOOP work on the concept of Write Once Read as many as times as you want but don't change the content of the file (Stream Line Access Pattern). HADOOP consist a cluster containing heterogeneous computing devices with commodity hardware. A HADOOP cluster consist two things: HDFS (Hadoop Distributed File System) and MapReduce. HDFS used for data storage and MapReduce used for data process. HDFS is suitable for storing data from Tear byte to Petabyte on a cluster and it run on a commodity hardware. © 2022 IEEE.

关键词： MapReduce

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