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Subterranean Vegetable Sorting with YOLO Models and Flask Framework

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

引用

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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Analysis of automation in Foundries for Transforming Production Efficiency, Quality control, and Operational Resilience 2

Analysis of Automation in Foundries for Transforming Product...

引用

2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Bhagyanathan, C. Sarvesh, J. Vishal, G. Rithvik, R. Sri Ramakrishna Engineering College Department of Mechanical Engineering Coimbatore India Sri Ramakrishna Engineering College Department of Robotics and Automation Coimbatore India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505745

The foundry industry, a cornerstone of manufacturing, has undergone significant transformations due to the integration of automation technologies. This survey paper examines the evolution of automation in foundries, exploring its historical development, key adoption drivers, and the ongoing challenges faced by traditional operations. Technological advancements driving this change include the Industrial Internet of Things (IIoT), robotics, artificial intelligence (AI), machine learning (ML), and cyber-physical systems (CPS), such as digital twins. Through case studies, the paper illustrates practical implementations of these technologies, such as IoT-enabled monitoring, robotics in core making and molding, AI-driven defect detection, and CPS integration in smart foundries. The advantages of automation are emphasized, including increased productivity, improved quality control, energy efficiency, sustainability, and enhanced workplace safety. Despite these benefits, the adoption of automation faces significant hurdles, such as high initial investment costs, integration with legacy systems, skill gaps, and cybersecurity concerns. The paper also identifies future trends, including the rise of collaborative robotics (cobots), edge computing, 5G technologies, and the vision for fully autonomous foundries. This comprehensive survey offers valuable insights into the current state of foundry automation, its transformative potential, and future directions for researchers and industry stakeholders seeking to leverage these advancements for operational excellence. © 2025 IEEE.

关键词： Coremaking

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Robust and Optimal control of Quanser Aero

Robust and Optimal Control of Quanser Aero

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Mushitha L Anil Kumar K K Sri Priyadharshini B S Department of Electronics and Instrumentation Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This paper presents the implementation and comparative study of Model Predictive control (MPC) and Sliding Mode control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate precise pitch and yaw control with the aim of minimizing settling time, eliminating steady-state error and reducing chattering effect in the output response. Simulation and hardware results are validated to compare their performance and highlight the trade-offs in real-time applications. The SMC enhanced robustness and reduced chattering, whereas MPC ensured smooth transient response with optimal control. These findings help us with the feasibility of implementing control methods in aerospace and robotics applications.

关键词： Accuracy Optimal control Hardware Real-time systems Robustness Steady-state Delays Transient analysis Sliding mode control Predictive control

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IOT based automation System for Household Appliances

IOT based Automation System for Household Appliances

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Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Premalatha Gurumurthy R. Raffik P. Dinesh Kumar R. B. Saroo Raj Dharmalingam Murugesan Manjunathan Alagarsamy Department of Electronics and Communication Engineering Prathyusha Engineering College Chennai Tamil Nadu India Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India Department of Computer Science and Engineering Vivekanandha College of Technology for Women Tiruchengode Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Department of Electronics and Communication Engineering Kongunadu College of Engineering and Technology Trichy Tamil Nadu India Department of Electronics and Communication Engineering K. Ramakrishnan College of Technology Trichy Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The Internet of Things (IoT) has disrupted home automation with device integration, real-time control, and better user comfort. Scalability, connection, and usability limitations plague traditional GSM-based home automation systems. IoT allows smartphones, tablets, and other smart devices to control electrical equipment remotely, ensuring energy efficiency, convenience, and security. IoT-based automation uses communication protocols, cloud computing, and sensors for intelligent functionality and real-time feedback. Modern smart home ecosystems are more flexible, scalable, and interoperable with IoT platforms like Zigbee, Wi-Fi, and MQTT than GSM-based systems. This study creates an IoT-based home automation system using microcontrollers, sensors, and IoT cloud platforms for smart homes that is cost-effective, user-friendly, and sustainable. This study shows how IoT is transforming home automation and can produce more sustainable, intelligent homes than conventional systems. As they evolve, IoT technologies could make home automation more efficient, safe, and user-friendly, enabling a more intelligent and connected future.

关键词： Home appliances Cloud computing Home automation automation Virtual assistants Zigbee Real-time systems Internet of Things Artificial intelligence Wireless fidelity

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Industrial Internet service system architecture for the industrial chain collaboration 24

Industrial Internet service system architecture for the indu...

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2024 international conference on Artificial Intelligence of Things and computing, AITC 2024

作者： Wu, Xuan Nie, Zilin Wang, Haidan Du, Yichao Zhao, Yixun Zhong, Xiao Beijing Research Institute of Automation for Machinery Industry Co. Ltd. Beijing China

ISBN: (纸本)9798400709869

Supported by the latest information and communication technology, the industrial Internet can provide various services for enterprises, break the information barriers between enterprises in the industrial chain, and thus facilitate industrial chain collaboration. Therefore, in order to facilitate industrial chain collaboration, this paper proposes an industrial Internet service system architecture. Firstly, the industrial chain collaboration scenarios are summarized. Then, a three-layer industrial Internet service system architecture composed of a service element layer, an interaction behavior layer and a service content layer is presented to provide industrial element services, industrial process services and industrial life cycle services for upstream and downstream enterprises in the industrial chain. Finally, the instantiation of the industrial Internet service architecture is introduced by taking the logistics collaboration scenario as an example. The proposed architecture not only integrates multiple services of the entire industrial chain and facilitates industrial chain collaboration, but also can guide the construction of the industrial Internet service platform. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Web services

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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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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025 - Proceedings

11th Vienna International Conference on Mathematical Modelli...

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11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injection molding;empirical modeling of unsteady bulging in continuous slab casters;computationally efficient optimal control problem formulation illustrated by automotive applications;modelling of an underground electric vehicle cycle for battery sizing analysis using Modelica;physics-informed sparse gaussian processes for model predictive control in building energy systems;application of recurrent neural networks for predictive modeling of electrical submersible pumps in oil extraction;and digital twin for autonomous decision-making in gas lift operations: improving reliability and adaptability.

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Coordinated differential steering control of distributed drive unmanned vehicle based on multi-agent 7

Coordinated differential steering control of distributed dri...

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2024 7th international conference on Power Electronics and control Engineering, ICPECE 2024

作者： Niu, Qiang Wei, Wenjun School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China

For a hub motor distributed drive electric vehicle (DDEV) with unmanned driving in complex environments, a multi-agent coordinated differential steering control strategy is proposed. Using a modular approach, an independently controllable hub motor wheel is used as the actuator unit, which is equipped with an independent motor controller and is considered as a whole as an agent unit. Then, a multi-agent differential steering model is established, and the agent decides on reasonable driving torque through communication so that differential steering can be realized more quickly while ensuring the stability of the whole vehicle. MATLAB/Simulink and CarSim were used for joint simulation to verify the control strategy in typical working conditions. The results show that the proposed control strategy can effectively achieve differential steering and provides a novel control method for DDEV. © Published under licence by IOP Publishing Ltd.

关键词： Electric variables control

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Research on maximizing throughput of high-speed railway system by allocating train-to-train communication resources 24

Research on maximizing throughput of high-speed railway syst...

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8th international conference on Electronic Information Technology and Computer Engineering, EITCE 2024

作者： Lv, Qianhui Gao, Yunbo Xie, Jianli Cheng, Xuan Ban, Yuhao School of Automation and Electrical Engineering Lanzhou Jiaotong University Gansu Lanzhou China School of Electronics and information engineering Lanzhou Jiaotong University Gansu Lanzhou China Lanzhou Railway Design Institute Co. LTD Gansu Lanzhou China

ISBN: (纸本)9798400710094

The realization of train-to-train (T2T) communication in 5G-R systems can effectively reduce the communication delay of trains and improve the safety and efficiency of train operation, but in this communication process, due to the coexistence of T2T communication and train-to-ground (T2G) communication, the problem of co-frequency interference will inevitably exist. To address this problem, this paper firstly proposes the Weighted Bifurcation Graph-based Resource Allocation (WBGRA) algorithm to reasonably allocate channel resources, which divides the channel resource allocation process into two parts, i.e., allocating channel resources for T2G users and reusing T2G users’ resources by T2T users, and the reuse process takes into account whether the reuse conditions are satisfied;and then the game theory is used to control the power. Simulation of the proposed algorithm shows that it gives the optimal solution of the optimization objective. © 2024 Copyright held by the owner/author(s).

关键词： Railroads

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Enhancing Smart Grid Security with Quantum Cryptography: A BB84-based Framework 3

Enhancing Smart Grid Security with Quantum Cryptography: A B...

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3rd international conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2025

作者： Garg, Shail Gayatri, Yerukola Surya Kausthub, A. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

The study investigates how quantum cryptography can be employed to improve security in smart grid communication networks. Attempting to use the BB84 QKD protocol, it allows secure creation and management of those cryptographic keys that cannot be broken with the help of quantum and traditional hacking techniques. It depends on symmetric encryption mechanisms like AES to provide high data confidentiality during transmission. Regarding the key management, the system provides a key management server that distributes keys to the grid nodes and performs key updating to ensure control with the managing authority. It also presents reliability under practical conditions through performance analogs such as Quantum Bit Error Rates (QBER), and system latency. This approach shows that quantum cryptography can provide a highly secure and efficient communication network for the next-generation smart grid. © 2025 IEEE.

关键词： Smart power grids

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