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Modeling and simulation verification of movement authority generation function of C3+ATO system 5

Modeling and simulation verification of movement authority g...

引用

5th international conference on Signal Processing and Computer Science, SPCS 2024

作者： Niu, Hengyu Zhang, Zhenhai School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China

ISBN: (数字)9781510686731

ISBN: (纸本)9781510686724

CTCS-3 train control system is the key system to ensure the safe operation of trains, and its effective combination with automatic train operation technology, which plays an important role in the control of train operation, and is also the mainstream direction of the development of high-speed railway system in China. A method in this paper is provided for modeling and formal simulation verification of the real-time behavior of the system based on timed automata to ensure the safe operation of high-speed railway C3 + ATO system. Taking the function of movement authority generation as an example, according to the functional requirements of the train operation system, the information is transmitted between the communication equipment, establishes the timed automata network model of information interaction between the equipment, and the message sequence charts between the communication equipment is generated, which used in the function of movement authority generation, train sends unconditional emergency stop messsage and temporary speed reduction messsage through the formal simulation, and the security, existence and reachability of the system are verified by the BNF (Backus-Naur Form, BNF) statement. As a result, the model meets the requirements of system functional attributes and the technical specification of Radio Block Center, which lays a foundation for the subsequent research of C3 + ATO system. © 2025 SPIE.

关键词： Automatic train control

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A Lightweight Pest Detection Algorithm based on the PI-Net basic Model 24

A Lightweight Pest Detection Algorithm based on the PI-Net b...

引用

6th international conference on Telecommunications and communication Engineering, ICTCE 2024

作者： Wang, Bin Li, Yingxiang Chengdu University of Information Technology Chengdu China

ISBN: (纸本)9798400709630

Insect infestation is a very serious natural disaster in agricultural production. Therefore, the detection of pest species is of great significance for agricultural insect control and production. However, the current traditional pest detection methods have the problem that they cannot guarantee the accuracy of the equipment under low computing power. Therefore, this paper proposes a lightweight pest detection algorithm based on the PI-Net basic model, in which the Fuses-mbconv structure is introduced into ResNet and combined with the high-efficiency network to obtain the EfficientNet_b3_WB backbone network. The selected dataset is then tested and compared with the PI-Net base model. The experimental results show that the improved model achieves 68.9% on the AP50 evaluation standard compared to the traditional PI-Net model, significant improvements were achieved on several key performance indicators (4.8 points for the average precision AP metric, 3.2 points for the AP50 metric, and The AP75 indicator also improved by 3.9 points). © 2024 Copyright held by the owner/author(s).

关键词： Insect control

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Highly Reliable Information Interaction and Sharing Based on Distributed Collaboration communication 26

Highly Reliable Information Interaction and Sharing Based on...

引用

26th international conference on Industrial Technology, ICIT 2025

作者： Xu, Mingxuan Song, Haifeng Wu, Shourong Zhou, Min Dong, Hairong School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beihang University Beijing100191 China Institute of Computing Technology China Academy of Railway Sciences Corporation Limited Beijing10081 China Design Institute of Signal & Communication Beijing National Railway Research Beijing100070 China School of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266590 China

ISBN: (纸本)9798331521950

To improve the operational efficiency and reliability of high-speed trains (HSTs), the Automatic Train control System has received considerable attention. Train-to-Train (T2T) communication is one of the critical technologies for autonomous train operation. However, the development of T2T communication technology still faces many challenges, particularly regarding communication distance limitations and reliability issues. To address these challenges, this paper introduces an innovative T2T collaborative communication model for HSTs, focusing on highly reliable information interaction and sharing in distributed collaboration environments. The model employs dynamic and static nodes to enable direct T2T information exchange. Using formal verification and state space analysis to ensure the system's reliability and performance. A Build-in-Test (BIT) mechanism is implemented for fault detection and isolation, enhancing the reliability of the system. By analyzing the performance indicators of the system in different scenarios, the reliability of the system was verified. © 2025 IEEE.

关键词： Signaling

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Mitigating Security Vulnerabilities in Cloud-Based Home automation through Advanced Edge computing: A Comprehensive Framework for Privacy Enhancement and Data Protection

Mitigating Security Vulnerabilities in Cloud-Based Home Auto...

引用

international conference on communication Systems and Network Technologies (CSNT)

作者： Biresh Kumar Shreya Kumari Ritesh Kumar Vineet Kumar Singh Binod Kumar Sharma Kamaldeep Gupta Amity Institute of Information Technology Amity University Jharkhand Ranchi Jharkhand India Cambridge Institute of Technology Tatisilwai Ranchi Jharkhand India Dept Of IT Dr. R.M.L. Avadh University Ayodhya UP Dept. of Computer Sci. & Engg. BIT Mesra Ranchi Jharkhand St. Xavier’s College Ranchi Jharkhand India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

With the soaring adoption of cloud-constructed home automation systems with CAGR of 8.5% from 2023 to 2030, security and privacy concerns have become critical considerations. This paper examines the security risks in cloud-based home automation systems and proposes leveraging edge computing to improve data security and privacy. We examine weaknesses including unapproved access, data leaks and highlight limitations of cloud-centric architectures. By integrating edge computing, we reduce data exposure, enable local processing, and improve control within the home environment. We explore how edge computing addresses specific attacks and offline operation during network disruptions. Challenges of incorporating edge computing into cloud-based home automation are discussed. This research contributes insights for achieving a more secure and privacy-enhanced home automation system.

关键词： Cloud computing Privacy Home automation Filtering Data protection Process control Real-time systems Internet of Things Smart devices Edge computing

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Enhanced Quantum Key Distribution Protocol for Secure Smart Grid communication using Quantum Gates 4

Enhanced Quantum Key Distribution Protocol for Secure Smart ...

引用

4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Sree, Anagani Navya Lachure, Jaykumar Doriya, Rajesh Jatoth, Chandra Shekar Department of Information Technology National Institute of Technology Raipur Raipur India

ISBN: (纸本)9798331530402

This paper presents an enhanced Quantum Key Distribution (QKD) protocol to strengthen the security of smart grid systems through secure communication and signature verification. As smart grids increasingly depend on digital communication, safeguarding them against cyber threats is paramount. Our approach incorporates Hadamard, SWAP, and rotation gates to fortify the BB84 protocol, ensuring secure key exchange while verifying the integrity and authenticity of transmitted data between smart meters and grid operators. Experimental results demonstrate that the protocol provides efficient key generation, encryption, and decryption while improving eavesdropping detection. With 10 qubits, the protocol achieved a key generation rate of 957 bits and successfully encrypted messages. These findings suggest that QKD offers a robust security framework for smart grid environments, providing superior resistance to both quantum and classical attacks. © 2025 IEEE.

关键词： Cyber attacks

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27th international conference on Advanced communications Technology: Toward Secure and Comfortable Life in AI Cambrian Explosion Era!!, ICACT 2025 - Proceedings

27th International Conference on Advanced Communications Tec...

引用

27th international conference on Advanced communications Technology, ICACT 2025

ISBN: (纸本)9791188428137

The proceedings contain 86 papers. The topics discussed include: predicting academic procrastination among university students using autoencoder model;design of metaverse-supported blockchain test process;implementation of IoT-based control system for maintenance operation of long-distance air pollution prevention device RTO;radar pulse repetition interval estimation based on blind source separation;communication countermeasure strategy decision-making based on incomplete information game;anti-jamming weighted clustering algorithm for UAV-mounted weapon self-organizing network;load balancing in cloud computing based on ant colony optimization and crow search algorithm;demand forecasting in transportation: a graph attention networks for predicting bus ridership;and foundation models: from current developments, challenges, and risks to future opportunities.

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Subterranean Vegetable Sorting with YOLO Models and Flask Framework

Subterranean Vegetable Sorting with YOLO Models and Flask Fr...

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2025 international conference on control, automation, and Instrumentation, IC2AI 2025

作者： Rakesh, M.D. Ronitha, R. Rudraswamy, S.B. JSS Science and Technology University Dept. of Electronics and Communication Engineering SJCE Mysuru India JSS Science and Technology University Dept. of Electronics and Communication Engineering Mysuru India

ISBN: (数字)9798331529604

ISBN: (纸本)9798331529604

The integration of advanced deep learning models, such as YOLOv5 and YOLOv8, into carrot cultivation significantly enhances post-harvest sorting systems, allowing for the effective differentiation between healthy and rotten carrots. This work streamlines the sorting process, ensuring that only high-quality produce reaches the market, thereby providing substantial advantages for traders. By automating this procedure, farmers can improve food safety, monitor shelf life, and enhance customer satisfaction, ultimately increasing productivity and profitability. The system employs convolutional neural networks (CNNs) to analyze visual data captured during harvest or post-harvest stages. These models are trained to identify distinguishing features of carrots, such as color changes, texture anomalies, and shape deformations, resulting in precision rates of 98.3% and 96.4% in identifying freshness with YOLOv8 and YOLOv5 respectively, and 96.5% and 93.6% in detecting rotten. Extensive training and evaluation have demonstrated notable improvements in performance metrics, validating the effectiveness of these models. As a prototype, we have developed a Flask web application for detecting whether carrots are rotten or fresh. This system significantly enhances productivity by allowing for quick and accurate assessment of carrot quality. The adoption of this AI-driven technology marks a transformative step toward optimizing resource management and maximizing crop value in modern agriculture. © 2025 IEEE.

关键词： Vegetables

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Next-Gen Energy Management: IoT Gateway for Smart Monitoring and Appliance control 6

Next-Gen Energy Management: IoT Gateway for Smart Monitoring...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Kabra, Sohum Nadagouda, Prithvi Nikam, Yash Kavedia, Manoj S. Thadomal Shahani Engineering College Mumbai India Thadomal Shahani Engineering College Mumbai India

ISBN: (纸本)9798331522667

This research study proposes an IoT-based solution for intelligent energy management, designed to monitor and optimize power consumption in both residential and industrial environments. The system will integrate an AI meter for real-time tracking of voltage, current, and power usage, alongside environmental sensors that measure parameters like temperature, humidity, light intensity, and motion. These data inputs are processed by an IoT gateway based on an ESP32 microcontroller and Raspberry pi, which will handle the data locally or transmits it to a cloud-based or edge machine learning model. The machine learning model analyzes real-time sensor data combined with historical consumption patterns to predict and implement optimal appliance control strategies. The system aims to reduce power consumption by up to 20-25%, contributing to energy efficiency without compromising operational performance and delays. Appliances are controlled remotely using IR Blasters and relays, allowing for dynamic, real-time adjustments based on environmental factors. The solution is scalable, making it applicable for both household energy management and large-scale warehouse automation. By utilizing predictive analytics and intelligent control, the system optimizes energy usage, offering a sustainable, automated solution for modern smart homes and industries. This integration of IoT and machine learning provides a significant step toward more efficient and sustainable energy management practices. © 2025 IEEE.

关键词： Gateways (computer networks)

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Quantum-Driven Hybrid Network Architecture Leveraging 5G for High-Speed and Resilient Data Transmission 6

Quantum-Driven Hybrid Network Architecture Leveraging 5G for...

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6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Kumar, Kusuma Ashok Mohandas, R. Suneel, Sajja Mahalakshmi, M.R. Kumar, Avinash Singh, Manmohan Department of Physics B V Raju Institute of Technology Medak District Telangana state Narsapur502313 India Chennai Institute of Technology Chennai India Institute of Aeronautical Engineering Dundigal Telangana Hyderabad500043 India Department of ECE Sri Muthukumaran Institute of Technology Tamil Nadu Chennai600 069 India Department of Computer Science and Engineering IES College of Technology Bhopal India

ISBN: (纸本)9798331522667

The integration of quantum communication principles with 5G technology presents a groundbreaking approach to addressing the growing demand for high-speed, secure, and resilient communication systems. This paper proposes a Quantum-Driven Hybrid Network Architecture that leverages Quantum Key Distribution (QKD) for unparalleled security and combines it with 5G's ultra-fast data transmission capabilities. The architecture integrates key components such as QKD modules, 5G infrastructure, and edge computing, organized into a layered framework comprising quantum, network control, and application layers. Simulation results demonstrate significant improvements in throughput (up to 23.5%), latency reduction (up to 25%), and error rate reduction in high-noise environments (from 0.25% to 0.05%). The proposed system also exhibits enhanced security, achieving a 100% success rate in mitigating eavesdropping and man-in-the-middle attacks. Using resource-efficient mechanisms, the hybrid network achieves an overall accuracy of 97.8% in secure and resilient data transmission. This work validates the potential of quantum-enhanced 5G systems to meet the challenges of future communication networks. © 2025 IEEE.

关键词： Quantum communication

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Performance Analysis of MIMO Using Diversity Technique in VLC FSO communication Systems

Performance Analysis of MIMO Using Diversity Technique in VL...

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2025 international conference on Intelligent control, computing and communications, IC3 2025

作者： Bajpai, Anurag Khunteta, Ajay Rajasthan Technical University Department Electronics Engineering Kota India

ISBN: (纸本)9798331527495

Visible Light communication (VLC) is a growing trend in future communication technology. In VLC systems, Free Space Optics (FSO) is used as the transmission medium. These VLC FSO systems offer solutions to congestion problems in RF communication by providing similar frequency range scalability, cost-effectiveness, and mobility. However, challenges such as weather conditions like smog and storms, as well as the need for a clear line of sight, pose significant hurdles. In this paper, we purpose a reliable VLC system that uses MIMO with RZ, NRZ and QPSK coding with filters and amplifiers to improve performance. The system is tested over a 1500-meter link distance, achieving a simulated data rate of 10 Gbps. This proposed system is suitable for high data rate communication in VLC, with the potential to extend transmission distances by reducing signal fading in free space © 2025 IEEE.

关键词： Visible light communication

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