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RFF Recognition based on Adaptive signal Transform and Weighted Feature Fusion 16

RFF Recognition Based on Adaptive Signal Transform and Weigh...

引用

16th international conference on Wireless Communications and signal Processing, WCSP 2024

作者： Wang, Yuqian Liu, Nan Pan, Zhiwen You, Xiaohu Southeast University National Mobile Communications Research Laboratory Nanjing210096 China

ISBN: (纸本)9798350390643

Radio Frequency Fingerprinting (RFF) is an effective physical layer identification technique that makes internet of Things (IoT) systems more secure. It uses the deviation of the parameters of each electronic component in the transmitter from the nominal parameters to perform the authentication task. RFF recognition schemes based on deep learning (DL) are emerging due to their ability to automatically perform feature extraction and classification. To fully exploit the information in RF signals, researchers perform feature extraction from different signal representations and fuse these features for subsequent classification tasks. However, selecting the combination of signal representations is a time-consuming task. Therefore, in this paper, we propose an RFF recognition model based on Adaptive signal Transform (AST) and Weighted Feature Fusion (WFF). The AST module is able to learn a signal transform form, which can greatly improve recognition accuracy and reduce the pressure of manual selection of signal representations. In addition, we use multiple convolution layers to form the WFF module. This module weighs the RFF features and highlights the feature components that favor classification. Simulation results show the ability of these modules to improve the performance of RFF recognition and the effectiveness of the proposed AST-WFF model. © 2024 IEEE.

关键词： Deep learning

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A Review of 5G technology Application in Digital Smart Grid 8

A Review of 5G Technology Application in Digital Smart Grid

引用

8th international conference on Intelligent Computing and signal Processing, ICSP 2023

作者： Zhao, Luyu Yao, Gang Zhou, Lidan Liu, Siyang Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai China Yunnan Power Grid Co. Ltd. Electric Power Research Institute Yunnan China

ISBN: (纸本)9798350302455

In the process of digital transformation of power grids, the 5th generation mobile communication technology (5G) plays a key role in supporting technological innovation in power systems and promoting industry reform due to its characteristics of high bandwidth, high capacity, and low latency. based on this, this paper introduces the new features of digital smart grid, proposes the new requirements for communication in the digital smart grid, analyzes the application scenario power of 5G communication technology in various aspects of "generation-transmission-transformation-distribution-use"of digital smart grid, and finally presents the challenges and countermeasures for the integration of 5G and power grid. © 2023 IEEE.

关键词： internet of things

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Design and Application of image Recognition Framework based on Cloud Edge Collaboration in Distribution Stations 5

Design and Application of Image Recognition Framework Based ...

引用

5th IEEE international conference on Power, Intelligent Computing and systems, ICPICS 2023

作者： Wu, Wenwei Zhang, Lishou Kang, Kai Liu, Juntao State Grid Shanghai Municipal Electric Power Company Construction and Operation Center Shanghai China Shanghai Yitong Information Technology Co. Ltd R and D Department Shanghai China

ISBN: (纸本)9798350333442

Targeted on the intelligent identification and cloud load reduction requirements of power system in video monitoring, a vision analysis system platform and implementation scheme for distribution station based on cloud edge system are proposed. Through multi-source data fusion analysis, optimization of defect fault location, image recognition algorithm, cloud edge threshold classification collaboration, image processing and feature extraction technologies such as YOLOv3, Mask-CRNN, etc., the high-definition real-time image is analyzed, and the main equipment status recognition and security abnormal behavior recognition functions of the distribution station are realized. The real-time and accuracy of each analysis function is verified by the on-site distribution station, and the relevant experimental results of some functions in the power grid are compared to show the effectiveness of the system scheme. © 2023 IEEE.

关键词： internet of things

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Driver physiological condition assessment system based on image-based photoplethysmography 4

Driver physiological condition assessment system based on im...

引用

4th international conference on Testing technology and Automation Engineering, TTAE 2024

作者： Chen, Chen Wang, Qi Li, Haochen Jin, Yu Chen, Jinhao Chen, Yujie Huang, Jiating Hu, Danfeng Soochow University School of Electronic and Information Engineering Suzhou China

ISBN: (数字)9781510686656

ISBN: (纸本)9781510686649

Automated driving is in the stage of development and industry standardization. In order to ensure the safety of autonomous driving, intervention by the driver is required at any time to address unexpected situations during the autonomous driving process. Due to the fatigue and other factors, drivers are often unable to intervene in time to respond to unexpected situations, and autonomous driving accidents occur from time to time. Some companies have already installed DMS in their vehicles, however, many physiological conditions caused by fatigue vary from person to person, and there is still a need for a more reliable and cost-effective method to monitor the driver's condition. based on the study of a large number of driver monitoring systems (DMS), we propose the use of image-based photoplethysmography (iPPG) for driver physiological condition monitoring, which can effectively solve most of the pain points of the DMS. In this paper, we present an innovative dual-camera measurement system designed to tackle measurement errors arising from environmental variability and motion artifacts. This dual-camera configuration aims to improve the accuracy of physiological signal monitoring, thereby providing more reliable assessments of the driver's condition during autonomous driving. © 2024 SPIE.

关键词： Condition monitoring

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Research on the Detection Method of Sybil Attacks on Wireless Terminals in Power internet of Things 1

引用

15th international conference on Genetic and Evolutionary Computing, ICGEC 2023

作者： Xu, Daming Gao, Kelin Hou, Zhongbao Zhang, Li Wei, Zhipei Li, Qi Ding, Yuzhu State Grid Baicheng Power Supply Company Jilin Baicheng137000 China Northeast Electric Power University Jilin Jilin132012 China

ISBN: (数字)9789819994120

ISBN: (纸本)9789819994113

As a key technology for achieving comprehensive coordinated control of new power systems, Wireless Sensor Network is widely used in the perception layer of power internet of Things. Sybil attack, as a complex form of attack, severely disrupts the positioning, routing, and data transmission functions of Wireless Sensor Networks. This paper proposes a Sybil attack detection scheme based on the Received signal Strength Indicator. It utilizes special detection nodes in the network to detect Sybil attack nodes. Additionally, a routing strategy based on trust threshold is proposed. Simulation results show that the algorithm can effectively detect and eliminate the adverse effects of Sybil attacks on network positioning and routing. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： internet of things

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A Self-Adaptive image Segmentation-based Dual Watermarking Technique for Medical images 8

A Self-Adaptive Image Segmentation-Based Dual Watermarking T...

引用

8th international conference on signal and image Processing, ICSIP 2023

作者： Meng, Bowen Yuan, Xiaochen Wang, Fan Macao Polytechnic University Faculty of Applied Sciences Macao China

ISBN: (纸本)9798350397932

The smart healthcare system plays a more critical role than ever before. It is designed to share electronic patient records (EPR) to improve medical care and facilitate research. However, protecting the security of EPR data is still a significant challenge. This paper proposes a new method for safeguarding EPR data in such systems. The method is a self-adaptive image segmentation-based dual watermarking technique that embeds both EPR data and authentication information in the wavelet domain of selected region of non-interest (RONI) for enhanced security, imperceptibility, and robustness. The experiments are based on a large dataset of medical data, The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD). The results found that the method is effective for the smart healthcare system. Compared with existing techniques, the proposed approach is better regarding security, robustness, and capacity. © 2023 IEEE.

关键词： image segmentation

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internet of Things-based Bridge Surveillance System 4th

Internet of Things-Based Bridge Surveillance System

引用

4th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2023

作者： Parashuram, N. Rohith, K. Rajesh Kumar, B. Nagsai, K. Nazeer Hussain, D. Department of CSE G. Pullaiah College of Engineering and Technology Kurnool India G. Pullaiah College of Engineering and Technology Kurnool India

ISBN: (纸本)9789819994410

The internet of Things has repeatedly demonstrated its ability to make previously unavailable solutions available. Bridge health monitoring is a system where internet of Things (BHM) solutions have proven their feasibility. The bridge is made of clementine wood and is exposed to harsh environmental conditions day and night that damage various structural components. These include but are not limited to cracks in the surface of the bridge, excessive bridge weight, and flooding around the bridge. This BHM system collects data using various sensors (water level sensors, IR sensors, etc.) and uses algorithms (rapid screening algorithms, image processing) or approaches to identify accessible areas of the bridge or can you solve the specific problem of cracks in difficult situations, such as inaccessible areas? Data can be analyzed and processed to determine if the bridge is damaged or if it is surrounded by flood-like conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： internet of things

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Application of Artificial Intelligence-based Video image Processing technology in Security Industry

Application of Artificial Intelligence-based Video Image Pro...

引用

2022 international conference on Cloud Computing, internet of Things, and Computer Applications, CICA 2022

作者： Wang, Fei Jiangxi Police Institute Jiangxi Nanchang330038 China

ISBN: (纸本)9781510656673

In the field of security, video image processing technology plays an important role. An efficient security system based on video processing technology can effectively improve the efficiency of public security, transportation, justice, retail and other industries. Nowadays, with the development of information technology, video image processing technology can gradually replace manual labor in the field of security. This paper analyzes the point processing, area processing and frame processing in video image processing technology in detail, and conducts in-depth investigation and research on the application of video image processing technology in the field of security. © 2022 SPIE.

关键词： Video signal processing

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Undergraduate Talents Training System of Chinese international Education Major based on Artificial Intelligence 3rd

Undergraduate Talents Training System of Chinese Internation...

引用

3rd EAI international conference on Application of Big Data, Blockchain, and internet of Things for Education Informatization, BigIoT-EDU 2023

作者： Chen, Dongping Jing, Zhang Yunnan Technology and Business University Kunming65000 China

ISBN: (纸本)9783031631351

With the prosperity of the global economy, the languages of all countries are in urgent need of breaking national boundaries to show the world their unique language charm, and at the same time expect that languages can serve the people of the world. The size of the scope of language use determines the influence of a country's national image accordingly. As the representative of China's image, Chinese participates in the competition of world languages. More and more people begin to understand Chinese. Chinese is warming up around the world. Colleges of Chinese international Education have been established in major universities across the country. This paper focuses on the research on the talent training system for Chinese international education undergraduates based on AI, and mainly develops the talent training system based on AI for Chinese international education undergraduates. The research team has developed an intelligent learning management system (ILMS) to support the development process of ILM courseware. ILMS integrates with MOOC platform, student information system and other systems to provide online courses for students majoring in international education or those who want to study. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Students

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HEMTH: Small Depth Multilevel Thresholding for a Homomorphically Encrypted image 24

HEMTH: Small Depth Multilevel Thresholding for a Homomorphic...

引用

IEEE 24th international Workshop on Multimedia signal Processing (MMSP)

作者： Nam, Paul Shyi, Justin Kim, Sunwoong Univ Washington Div Engn & Math Bothell WA 98011 USA

ISBN: (数字)9781665471893

ISBN: (纸本)9781665471893

One of the image segmentation techniques, multilevel thresholding, is widely used in many computer vision applications because of its low computational complexity and efficient data representation. When it is used in cyber-physical systems and internet-of-things, a special technique is required to protect the sensitive information in an image. This paper proposes a novel homomorphic encryption (HE)-based multilevel thresholding method. To implement a comparison operation in the HE domain, which is not a basic homomorphic operation, a numerical method is adopted. Our proposed method executes comparison operations in parallel to perform more iterations and increase accuracy. When the number of iterations in the numerical comparison operation is (5, 3), the proposed three-level thresholding method shows an average peak signal-to-noise ratio of 28 dB compared to a conventional non-HE-based method and takes 3 minutes on a PC.

关键词： homomorphic encryption multilevel thresholding cyber-physical systems internet-of-things

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