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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121-130 订阅

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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

来源：评论

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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

来源：评论

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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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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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A Modular Deep Denoising Autoencoder for speech enhancement 3

A Modular Deep Denoising Autoencoder for speech enhancement

引用

3rd international conference for Emerging Technology, INCET 2022

作者： Al-Taai, Raghad Yaseen Lazim Wu, Xiaojun School of Computer Science Ministry of Education Shaanxi Normal University Snnu Key Laboratory of Modern Teaching Technology Xi'an China

ISBN: (纸本)9781665494991

Recent researches have proven that deep denoising autoencoder is an effective method for noise reduction and speech enhancement, and can provide better performance than several existing methods. However, training deep denoising autoencoder has proven to be difficult computationally. The goal of this study is to develop a modular approach for training deep denoising autoencoders as a set of classifiers based on collaborative learning. Each classifier is a multilayer deep denoising autoencoder network and specialized for a particular enhancement task and handles a subset of the complete training dataset. The approach performance was assessed using a perceptual evaluation of speech quality and the segmental signal-to-noise ratio. We have trained two individual DDAEs with three and five hidden layers respectively for comparison purposes. We have also compared our proposed model with the traditional spectral subtraction and, log MMSE methods. The results showed that DDAE with three and five hidden layers was sufficient (deeper is better), while the proposed approach provided higher intelligibility results and was more suitable for high-quality cases. © 2022 IEEE.

关键词： Speech enhancement

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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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Real-time detection network of contraband based on YOLOX 3

Real-time detection network of contraband based on YOLOX

引用

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

作者： Jiang, Shifeng Pan, Chunrong Gan, Yufeng Chen, Junjie Gao, Xiangdong School of Mechanical and Electrical Engineering Jiangxi University of Science and Technology Jiangxi Ganzhou341000 China

ISBN: (纸本)9781510661240

Today, the increasingly complex external environment and the goal of building a harmonious society have put forward higher requirements for security check work. Traditional security inspection methods are facing enormous challenges. With the maturity of intelligent security technology, Intelligent security inspection has become a trend. Security check that requires both reasoning speed and accuracy, this paper proposes a lightweight target detection network, which takes YOLOX as the overall framework and Mobilenet-V3 as the backbone network. The effectiveness of the network is proved by the simulation experiment on the public data set OPIXray and can achieve a real-time computing speed of 87.7FPS. © 2022 SPIE.

关键词： signal detection

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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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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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A Quantitative Assessment of Emerging Trends in IoT Botnet Attacks 3

A Quantitative Assessment of Emerging Trends in IoT Botnet A...

引用

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

作者： Nasir, Muhammad Hassan Khan, Muhammad Mubashir Arshad, Junaid NED University of Engineering and Technology Department of Computer Science and IT Karachi Pakistan Birmingham City University School of Computing and Digital Technology United Kingdom

ISBN: (纸本)9781665461412

In recent years, the world has witnessed a great increase in IoT Botnet attacks. Since these IoT devices are heterogeneous and typically resource-constrained with less processing and memory resources available to employ an efficient security mechanism. Moreover, the attack vectors and malicious adversaries have become advanced both in terms of complexity and diversity. This implies an effective mechanism to efficiently identify and prevent IoT Botnet attacks. This study aims to present a methodological quantitative assessment of the research conducted in the area of IoT Botnets from the year 2015 to 2022. Typically, the ISI Web of science (WoS) along with VOSviewer (a software tool for constructing and visualizing bibliometric networks) are used to conduct the overall bibliometric assessment. Our assessment shows that the research in this area encompasses multiple domains with the USA leading in terms of research publication with English as the leading language. This bibliometric assessment provides an in-depth quantitative analysis based on the 9 research questions formulated during our research. This consequently helps the research community to collaborate with other researchers, institutions and funding agencies to make further progress in this area. © 2022 IEEE.

关键词： Botnet

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