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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131-140 订阅

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The Evaluation of Camouflage Based on Image Edge Contour Similarity 7

The Evaluation of Camouflage Based on Image Edge Contour Sim...

引用

7th international conference on Communication, Image and signal processing, CCISP 2022

作者： Zhou, Xian Zhu, Wenwen Liu, Fuyong Yang, Wei Chu, Miao Xi'An Technological University School of Art and Media Xi'an China Xi'An Technological University School of Mechatronic Engineering Xi'an China Northwest Institute of Mechanical and Electrical Engineering 3rd Research Department Xianyang China

ISBN: (数字)9781665459594

ISBN: (纸本)9781665459594

As the target moves in the background, the profile dislocation will be caused and the camouflage effect will be reduced following that. Aimed at the problem, the author in the research introduces a camouflage evaluation method that based on the similarity of the edge contour of the camouflage target. The research combines Sobel and Canny algorithm to extract the edge contour of the target, uses the Euclidean distance to calculate the similarity of target's edge contour to its background after camouflage, so as to judge the quality of the camouflage effect. Finally, the rationality of the method is verified by ranking and comparing six camouflage plans with different contours, which were calculated by edge contour similarity method and image discrimination method respectively. © 2022 IEEE.

关键词： Visualization Shape Image edge detection signal processing algorithms Euclidean distance signal processing Feature extraction

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Slope recognition based on human body surface EMG signal Using CNN 3

Slope recognition based on human body surface EMG signal Usi...

引用

3rd international conference on Electronic Communication and Artificial Intelligence, IWECAI 2022

作者： Ren, Weizhi Liu, Yali Song, Qiuzhi Deng, Hongbin The School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9781665479974

In recent years, the development of intelligent exoskeleton robot technology has made considerable applications in the military and civilian fields. Accurate recognition of human motion patterns and compliant switching of control systems are technical difficulties to be solved in the field of intelligent exoskeleton. Convolutional neural networks (CNN) have achieved good applications in the fields of computer vision and speech recognition. Practice has proved that slope detection is an important part of human motion pattern recognition. However, few people are engaged in related research. In this paper, in view of the fact that the surface EMG signal is generated before the action and is similar to the audio signal, we introduce a slope-recognition method based on the raw surface EMG signal using CNN. Without using the other feature extraction and signal processing methods, we use short-time Fourier transform (STFT) to process the original EMG signal to generate a spectrogram as CNN input. As a result, compared with traditional machine learning algorithms, our method has a higher accuracy of 99.94%, which is vital for exoskeleton robots that directly interact with the human body due to safety and comfort. © 2022 IEEE.

关键词： Motion estimation

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An Interaction Platform Design Method Based on Multi-Level Layering 3

An Interaction Platform Design Method Based on Multi-Level L...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Chen, Ruyu Xie, Shaobin Chen, Junsong Gu, Huiting School of Computer Science Guangdong University of Foreign Studies South China Business College Guangzhou510545 China

ISBN: (纸本)9798350307023

Multi-layered stratification can effectively meet the diverse needs of users. This design proposes a solution for providing information services in different administrative regions using a multi-layered stratification construction platform. The information is classified according to different themes or categories, forming a multi-level stratification. The multi-level interactive platform adopts C/S architecture design, achieving automatic management and intelligent interaction of services, providing an intelligent interactive service platform for community groups. Design results show that the multi-level interactive platform design method has important theoretical research significance and practical value for further improving the information level and work efficiency of grassroots community management in administrative regions. © 2023 IEEE.

关键词： Information services

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Dynamic Word Vector Based Sentiment Analysis for Microblog Short Text 3

Dynamic Word Vector Based Sentiment Analysis for Microblog S...

引用

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

作者： Peiliang, Zhang Ablimit, Mijit Yilahun, Hankiz Hamdulla, Askar Xinjiang University Xinjiang Key Laboratory of Signal Detection and Processing School of Information Science and Engineering Urumqi China Xinjiang University Xinjiang Key Laboratory of Multilingual Information Technology School of Information Science and Engineering Urumqi China

ISBN: (数字)9781665499507

ISBN: (纸本)9781665499507

Aiming at the disadvantage of static word vector model to the problem of polysemy of words, a model based on dynamic word vector and two-way GRU neural network combined with attention mechanism is proposed to recognize emotion of microblog short text comments, which is helpful to analyze and monitor social public opinions. First, the word vector is obtained through ERNIE pre-training model, and then transmitted to the bidirectional GRU neural network. Then, the keywords are weighted in combination with the Attention mechanism. Finally, the emotion is classified through the softmax layer. Experimental results show that the classification accuracy of the proposed model on the weibo_senti_100k data set is 96.51%. © 2022 IEEE.

关键词： Dynamics

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Radar Emitter signal Recognition Based on PCA-ICS-SVM 3

Radar Emitter Signal Recognition Based on PCA-ICS-SVM

引用

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

作者： Wang, ZhiTeng Liu, Chang Ji, CunXiao Qiu, Sheng College of Communications Engineering Army Engineering University Nanjing210007 China Unit 31433 Shenyang110113 China

ISBN: (纸本)9783800758760

In this paper, a principal component analysis (PCA) based algorithm is proposed, which combines with improved Cuckoo Search (ICS) and Support Vector Machine (SVM). Firstly, PCA is used to reduce the dimension of the eigenvalue, and then select the principal component with high contribution rate as the input vector of SVM for analysis. This paper also proposes a cuckoo algorithm which improves the search formula to find the optimal value of the key parameter penalty factor C and kernel function parameter g of SVM. The simulation results show that this method can obtain better recognition effect in the environment containing a certain amount of noise signals, which not only consumes a short time, but also has a higher recognition rate. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Support vector machines

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Chinese named entity recognition using adversarial training and attention mechanism 3

Chinese named entity recognition using adversarial training ...

引用

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

作者： Yang, Puquan Lu, Ting Guo, Wenjing Chang, Shan Liu, Guohua Huang, Qiubo Wang, Bingyue Department of Computer Science and Technology Donghua University Shanghai201620 China Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of Education Shanghai201620 China

ISBN: (纸本)9783800758760

Chinese NER plays an important role in natural language processing as a fundamental task. The current character-based training approach for Chinese NER suffers from the inability to incorporate overall sentence features or character neighbourhood features into the character vector. In this paper, we designed a feature enhancement module with attention mechanism and BI-LSTM networks to enhance the feature extraction capability of the model and proposed the introduction of adversarial training as a method of enhancing data to improve the robustness of the model. It has been proven through extensive experiments that the accuracy of the model in Chinese NER task has been improved after the introduction of the adversarial training and feature enhancement modules. In our experiments, we choose the BERT-CRF network as our baseline model. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Long short-term memory

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Design of signal distortion measurement device based on MSP430F149 3

Design of Signal distortion measurement device based on MSP4...

引用

3rd international conference on Artificial Intelligence and Electromechanical Automation, AIEA 2022

作者： Wang, Jie Xiao, Huijun Huang, Jianqing College of Applied Science and Technology Hainan University Hainan Danzhou571737 China

ISBN: (纸本)9781510657281

With the development of electronic technology, the study of signal distortion is particularly important. For example, if harmonic distortion is produced, it will make the multimedia audio lose its original timbre and even appear harsh sound. This design is a signal distortion detection device with MSP430F149 MCU as the core, which can complete signal processing, signal acquisition, and thus calculate the signal distortion. The overall design circuit consists of filter circuit, voltage lifting module, voltage following module, signal acquisition module, MCU and signal display module. MSP430F149 MCU controls the signal acquisition and storage, and the LCD1602 display shows the signal distortion measurement results according to the calculation formula written in the program code. In addition, the design utilizes the Fast Fourier Transform (FFT) algorithm, which not only ensures the measurement accuracy, but also greatly improves the speed of spectrum analysis. © 2022 SPIE.

关键词： Spectrum analysis

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Compensation of Lombard effect in speech enhancement 3

Compensation of Lombard effect in speech enhancement

引用

3rd international conference on Digital signal and computer Communications, DSCC 2023

作者： Xu, Chundong Yang, Yi Jiangxi University of Science and Technology Ganzhou341000 China

ISBN: (数字)9781510666566

ISBN: (纸本)9781510666559

Influenced by Lombard effect, the synthetic noisy speech training data commonly used in speech enhancement algorithm based on deep learning is different from the pronunciation under actual noise, which leads to the limited application performance of the algorithm in the actual environment. This paper summarizes the data compensation strategy proposed by researchers for speech enhancement algorithm under Lombard effect. However, these compensation strategies mainly focus on the front-end data processing part of speech enhancement, which improves the complexity of speech enhancement system. © 2023 SPIE.

关键词： Speech enhancement

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Research on Java-based library management system 3

Research on Java-based library management system

引用

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

作者： Lubing, Wei Jinggeng, Zhang Gansu Institute of Science and Technology Information Lanzhou China

ISBN: (纸本)9781665468121

The book management system pays more attention to light weight. Managers only need to perform simple operations to complete the operation of adding, deleting, modifying, and checking book categories and the operations of adding, deleting, modifying and checking books in the same category. This paper studies a book management system based on C/S, using Eclipse as the development environment, using Sqlyog as the database server, and based on the Java language. The system has the characteristics of fast running speed, high security and strong portability. © 2022 IEEE.

关键词： C (programming language)

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Event Driven Architecture for Message Streaming data driven Microservices systems residing in distributed version control system 3

Event Driven Architecture for Message Streaming data driven ...

引用

3rd international conference on Innovations in science and Technology for Sustainable Development, ICISTSD 2022

作者： Singh, Amarjeet Singh, Vinay Aggarwal, Alok Aggarwal, Shalini Pittsburgh PA15237 United States CO 80130 United States UPES Dehradun SoCS UK India Graphic Era Hill University School of Computing UK Dehradun India

ISBN: (纸本)9781665499361

A large quantity of statistics is generated each day using DevOps techniques from many sources;inclusive of sensors, internet site utilization, gadget activities, and so on. This sparkling waft of activities have to be treated through modern packages. Occasion Micro-offerings enable structures extract beneficial statistics from those occurrences and help customers in making important commercial enterprise choices. In this work, an Event Driven Architecture is presented for Message Streaming data driven Microservices systems residing in distributed version control system. processing of Messages and Stream processing have been considered in this work. Latency in Event driven messaging system has been calculated by taking few cases of software projects. Finally, a brief overview has been given for Event-driven architecture versus message-driven architecture. © 2022 IEEE.

关键词： computer architecture

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