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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2944 条记录，以下是31-40 订阅

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GV Black Inspired Hierarchical Multiclass Classification using Panoramic Radiographic Synthetic data 3

GV Black Inspired Hierarchical Multiclass Classification usi...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Kulbhushan, Pravar Chahar, Jaiyesh Kar, Indrajit Siemens Advanta Karnataka Bengaluru India

ISBN: (纸本)9798350320749

The purpose of this research is to demonstrate that using the generated synthetic dataset will produce better results than the original teeth x-rays and thus be more efficient for carrying out hierarchical multiclass classification, this will also allow dental caries classification to be automated in accordance with the GV Black Standards. Five distinct models that were trained and tested using both the new and original datasets are compared. As the first step in each of these tasks, simple object detection will be used to identify each tooth, and then hierarchical classification will be used to achieve the desired results for classifying the cavities so that appropriate treatment can be determined based on the class of caries. © 2023 IEEE.

关键词： Object detection

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Optimized Detection of Continuous Gravitational-Wave signals using Convolutional Neural Network 3

Optimized Detection of Continuous Gravitational-Wave Signals...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Duraisamy, Premkumar Natarajan, Yuvaraj Niranjani, V. Parvathy, K. KPR Institute of Engineering and Technology Department of Artificial Intelligence and Data Science Coimbatore India KPR Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Sri Eshwar College of Engineering Department of Computer Science and Engineering Coimbatore India Dr NGP Institute of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350320749

Identifying gravitational waves produced by binary black hole mergers has sparked an unheard-of revolution in physics and astronomy. However, due to the low magnitudes of gravitational wave signals and the inevitability of detector noise, proper processing of gravitational wave data is in high demand. In this research, we propose a deep learning technique termed convolution neural network based on a set of time-series data from '***/datasets/andradaolteanu/g2net-gravitational-wave-dataset' that contains simulated gravitational waves with noise. This work uses a convolution neural network and Fourier transformation-based gravitational wave signal recognition model (CNN). According to experimental findings, the frequency-domain signal graph describes the gravitational wave signal's features more accurately than the time-domain signal. The signal recognition accuracy has been improved using CNN's convolutional processing. © 2023 IEEE.

关键词： Gravity waves

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Customer Churn Prediction using Neural Networks and SMOTE-ENN for data Sampling 3

Customer Churn Prediction using Neural Networks and SMOTE-EN...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Gore, Shubham Chibber, Yuvraj Bhasin, Manan Mehta, Shyam Suchitra, S. SRM Institute of Science & Technology Kattankulathur Data Science and Business Systems Chennai India

ISBN: (纸本)9798350320749

To survive in the telecommunications industry's severe competition and to keep existing loyal customers, predicting prospective churn consumers has become a critical task that may be accomplished with efficient predictive models. For many years, churn studies have been utilized to boost profitability and make customer-company relationships more sustainable. Customer churn is estimated using a multi-layer perceptron prediction model based on ANN. Furthermore, the suggested model manages the data's uneven class distribution using an advanced oversampling strategy called SMOTE-ENN based on K-Nearest Neighbors. The models accuracy was compared with and without SMOTE-ENN and the model using SMOTE-ENN showed better results. © 2023 IEEE.

关键词： Telecommunication industry

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Mining Technology of Big data Trusted Sharing in Supply Chain 3

Mining Technology of Big Data Trusted Sharing in Supply Chai...

引用

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

作者： Yan, Wan Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350307023

In view of the low input and output efficiency of traditional supply chain sharing mining technology, a trusted sharing mining technology of supply chain big data based on improved data envelope analysis algorithm was proposed. The supply chain trust evaluation method based on improved DEA algorithm is adopted, and the evaluation results are stored in the form of data set. DEA algorithm is used to optimize the input and output efficiency of supply chain sharing, and genetic algorithm is combined to avoid the local optimal problem of DEA algorithm. The supply chain big data streaming method is adopted to process the data set data, and the data is provided to each subject in the shared information publishing layer with certification qualification to access and use, and the trusted sharing mining of supply chain big data is realized. The experimental results show that the technology has excellent big data sharing mining effect, can effectively adjust the supply chain input and output, and improve the overall performance of the supply chain. © 2023 IEEE.

关键词： Supply chains

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Research on data Security Technology Based on Homomorphic Encryption in Cloud Computing Environment 3

Research on Data Security Technology Based on Homomorphic En...

引用

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

作者： Chu, Liang Guangzhou Huashang Vocational College Guangdong Guangzhou511300 China

ISBN: (纸本)9798350307023

With the development of cloud computing, data security issues have become increasingly prominent. As an encryption method that can perform calculations in the ciphertext domain, homomorphic encryption technology provides an effective solution for data security in a cloud computing environment. data security technology based on homomorphic encryption is the main subject of this paper. First, the classification and characteristics of homomorphic encryption technology are introduced, as well as security analysis methods, and then a data security system based on fully homomorphic encryption is designed, including data acquisition and preprocessing modules. Then, the data analysis module adopts a model structure based on a neural network and provides the model training and parameter optimization process. Finally, experiments were conducted based on real data sets to verify the feasibility and effectiveness of the system, and the system was evaluated from the aspects of accuracy, time overhead, and storage overhead. This paper concludes that homomorphic encryption technology can guarantee data privacy and integrity in a cloud computing environment while also improving computing efficiency and scalability. © 2023 IEEE.

关键词： data acquisition

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A Compressed Storage System for Power Communication Network Traffic data Based on Microservices Architecture 24

A Compressed Storage System for Power Communication Network ...

引用

3rd international conference on signal processing, Computer Networks and Communications, SPCNC 2024

作者： He, Xi Gan, Rundong Wang, Ce Zhu, Xianfeng Hu, Qidi Chen, Yuxu Information Center of Guizhou Power Grid Co. Ltd. Guizhou Guiyang China China Southern Power Grid Digital Platform Technology Company Guangdong Guangzhou China

ISBN: (纸本)9798400710834

When dealing with large amounts of data, ensuring data consistency and synchronization may become a non-negligible problem due to the fact that the services in the microservice architecture are distributed on different servers. Therefore, this paper proposes a compressed storage system for power communication network traffic data based on microservice architecture. While coping with the massive amount of data generated in power communication networks, the system is combined with statistical methods to realize an efficient and reversible data compression and fusion model by encoding and converting the raw data. It supports protocol-independent and adaptive abnormal behavior detection. Experimental results show that the system combines the flexibility of microservice architecture and the advantages of data compression technology to realize efficient data storage and transmission. © 2024 Copyright held by the owner/author(s).

关键词： data consistency

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Research of Footwear Virtual Simulation Design Laboratory Based on Computer Big data Technology 3

Research of Footwear Virtual Simulation Design Laboratory Ba...

引用

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

作者： Huang, Guobao Yin, Tao School of Art and Design Guangdong Baiyun University Guangzhou510450 China

ISBN: (纸本)9798350307023

This paper studies the application of multi-modal modeling method in the design and development of sneakers samples based on two-dimensional digital collaborative design and three-dimensional digital simulation. The multi-body system is modeled by using AD-AMS. A walking simulation system based on neural network is proposed, and the ILC walking simulation system is realized by combining it with MA TLAB. The purpose of this paper is to explore the comfort of shoes in the state of exercise. Simulation analysis shows that the mathematical model is reasonable and feasible, and lays a theoretical basis for the development of prototype. © 2023 IEEE.

关键词： Big data

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Fast Transmission Technology of Weak signal data in Distribution Network Terminal Based on Carrier Communication 3

Fast Transmission Technology of Weak Signal Data in Distribu...

引用

3rd international conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Zhang, Mingming Hu, Jin Li, Wenjun Guangdong Grid Co Shaoguan Nanxiong Power Supply Guangdong Shaoguan China

ISBN: (纸本)9798350303698

At present, the fast transmission mechanism of weak signal data at distribution network terminals is mostly cross processing, and the transmission distance is limited, which leads to the increase of data transmission delay. Therefore, this paper proposes to design and verify the fast transmission technology of weak signal data at distribution network terminals based on carrier communication. According to the actual transmission requirements and standards, carry out distributed transmission data acquisition, use mapping standards as a guide, increase the transmission distance, design GOOSE mapping carrier transmission mechanism, and based on this, build a carrier communication weak signal data fast transmission model, and use UDP priority processing to achieve fast data transmission. The final test results show that: after three stages of measurement, the final data transmission delay is well controlled below 10ms, indicating that the control effect of this method is good. For weak signal data, the transmission speed is fast, and the data transmission delay is within a reasonable range, reducing delay jitter while strengthening the transmission effect, which has practical application value. © 2023 IEEE.

关键词： data communication systems

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Research and Application of Deep Learning Algorithm Based on Multi-Source data Fusion of Power Grid and Communication Network 3

Research and Application of Deep Learning Algorithm Based on...

引用

3rd international conference for Advancement in Technology, ICONAT 2024

作者： Li, Li Zhou, Wei Ma, Liang Jiang, Yingjie Sun, Chao Zhang, Pu Information Telecommunications Company State Grid Shandong Electric Power Company Jinan250001 China State Grid Shandong Electric Power Company 250001 China

ISBN: (纸本)9798350354171

Multi-source data fusion plays a very important role in improving the intelligent level of power grid operation, but there is a problem that multi-source data fusion is not ideal. The previous operation mode could not solve the problem of data fusion in the intelligent operation of the power grid, and the processing was inaccurate. Therefore, this paper proposes a deep learning algorithm for multi-source data fusion analysis. Firstly, the signal processing and estimation theory are used to integrate the power grid communication data, and the indicators are carried out according to the requirements of multi-source data fusion Partitioning to reduce interference factors in multi-source data fusion. Then, signal processing and estimation theory intelligently process power grid communication to form an intelligent processing scheme and fuse multi-source data The results were comprehensively analyzed. MATLAB simulation shows that under the condition of certain processing standards, deep learning algorithms intelligently process power grid communication accuracy and multi-source data fusion time are better than previous operating modes. © 2024 IEEE.

关键词： data fusion deep learning algorithms Improve the intelligent level of power grid operation multi-source data fusion signal processing and estimation theory

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Research on high-speed processing of array ultrasonic signal based on FPGA 3

Research on high-speed processing of array ultrasonic signal...

引用

3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Wang, Lirong Zhang, Shuaitao Wang, Beining Harbin University of Science and Technology Harbin China Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9798350398410

In array ultrasound imaging, because the software needs to process a large amount of raw data, it is not easy to improve the imaging rate of the system. This paper uses FPGA to realize the high-speed processing of ultrasound images based on array ultrasound transducers with 64 array signals intercepted in parallel. After that, it performs histogram equalization on the image in the FPGA, and finally sends the processed result to the computer for display. This study can significantly improve the array ultrasound signal processing rate, thereby increasing the continuous imaging frame rate of the imaging system. In addition, when designing the pixel value accumulation module, the system innovatively uses a dedicated RAM instead of a counter array for statistics, which can reduce hardware resources. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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