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检索条件"任意字段=9th International Conference on Electrical Engineering, Computing Science and Automatic Control"

共 3984 条记录，以下是31-40 订阅

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Enhancing Tomato Leaf Disease Classification with Augmentation Techniques in Deep Learning 14th

Enhancing Tomato Leaf Disease Classification with Augmentati...

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14th international conference on Frontier computing, FC 2024

作者： Debnath, Anik Gil, Joon-Min Byun, Yung-Cheol Department of Computer Engineering Jeju National University Jeju63243 Korea Republic of Department of Computer Engineering Major of Electronic Engineering Inistitute of Information Science and Technology Jeju National University Jeju63243 Korea Republic of

ISBN: (纸本)9789819623945

Tomato leaf diseases pose a significant threat to crop yield and agricultural productivity. Addressing the challenge of automatic detection and classification of diseases found in tomato leaves through the utilization of Convolutional Neural Networks (CNNs), a subset of deep neural networks. Initially, the dataset is augmented to address the issue of limited labeled data, employing traditional data augmentation methods to balance and enlarge the dataset. Exploring the effectiveness of various fine-tuned pre-trained models, including VGG-16, VGG-19, InceptionV3, EfficientNetB7, and ResNet-50 for classifying tomato leaf diseases. Ten common diseases affecting tomato leaves are classified, with the dataset expanded fourfold through data augmentation. Experiments demonstrate that the ResNet-50 model achieves the highest accuracy of 96.15% in disease classification. through a detailed analysis, evaluating the performance of each technique and providing insights into their effectiveness for enhancing disease classification in tomato plants. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Fruits

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Artificial Intelligence-Based Secured Smart Mirror control Systems with Enhanced Vehicle and Signboard Detection 11th

Artificial Intelligence-Based Secured Smart Mirror Control S...

引用

11th EAI international conference on Advancement of science and Technology, ICAST 2023

作者： Sanjay, S. Nithish Soorya, S.S. Vengatesh, R. Prakasam, P. Annamalai, Pushparaghavan School of Electronics Engineering Vellore Institute of Technology Vellore India Faculty of Electrical and Computer Engineering Bahirdar University Bahir Dar Ethiopia

ISBN: (纸本)9783031641503

Vehicle accidents have a significant impact on society, and they have a number of detrimental repercussions on individuals, families, and communities. Vehicles are an essential part of everyone’s daily lives in the modern world;therefore, it is very important to drive them in a cautious manner to prevent accidents. A side mirror is very important equipment in a vehicle as it helps drivers with a view of the area behind and to the sides of the vehicle. the proposed work focuses on the enhancement of artificial intelligence (AI)-based automatic side mirror folding systems in addition with vehicle and signboard detection as driver alert measures. the system proposed inspects authorized persons with the help of face detection and fingerprint verification applications provided via individual phones. the signboard detection helps the driver to notice signboards to make necessary adjustments in very crowded traffic areas, and vehicle detection helps the driver to drive in a cautious manner, specifically when taking turns in highly congested areas with the help of Internet of things (IOT) applications. the system checks for the presence of signboards, monitors the surroundings, and supervises the security of the vehicle using face detection and android app-based fingerprint verification. the proposed AI-based method achieved the 95.5% testing accuracy for unregistered persons with the help of face detection and fingerprint verification. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Mirrors

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Distributed Computation of Source, Target, and Mixed Strongly Connected Components in Multi-agent Systems

Distributed Computation of Source, Target, and Mixed Stron...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Ramos, Guilherme Pequito, Sérgio Department of Computer Science and Engineering Instituto Superior Técnico University of Lisbon Lisbon1049-001 Portugal Instituto de Telecomunicações Lisbon1049-001 Portugal Department of Electrical and Computer Engineering Instituto Superior Técnico University of Lisbon Lisbon1049-001 Portugal Institute for Systems and Robotics Instituto Superior Técnico University of Lisbon Lisbon1049-001 Portugal

ISBN: (纸本)9783031817236

Strongly Connected Components (SCCs) play a crucial role in understanding the structural properties of directed graphs, with a plethora of applications across various domains including engineering, computer science and social sciences. In this paper, we propose a method for computing both the source SCCs and target SCCs in a distributed fashion. Our method leverages the decentralized nature of distributed systems to efficiently identify SCCs within large-scale graphs. We illustrate the proposed methods with examples. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Distributed computer systems

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Implementation of a Water Level control System Using Programmable Logic controller with Remote Access

Implementation of a Water Level Control System Using Program...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Žakelj, Blaž Podržaj, Primož Šolski Center Škofja Loka Škofja Loka4220 Slovenia Faculty of Mechanical Engineering University of Ljubljana Ljubljana1000 Slovenia

ISBN: (纸本)9783031817236

In this paper a water level control system is presented. the system is used for lab exercises in all the courses related to control engineering. It is realized in a way that makes it not dependent on a water supply system, and it also operates with much smaller pressures. the control tasks are realized with a programmable logic controller Siemens S7–1500. the control algorithm is a classical PID. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： three term control systems

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Multi-agent Collision Avoidance Based on Buffered Voronoi Cells and B-Splines

Multi-agent Collision Avoidance Based on Buffered Voronoi C...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Dinh, Cong Khanh Prodan, Ionela Stoican, Florin LCIS Valence26000 France Department of Automatic Control and Systems Engineering National University of Science and Technology "Politehnica" Bucharest 313 Splaiul Independenţei Bucharest060042 Romania

ISBN: (纸本)9783031817236

this paper tackles the challenging issue of collision avoidance among multiple dynamical agents, a problem known for its non-convex nature and computational complexity. Our proposed solution involves decomposing the space into time-varying Voronoi cells with buffer zones, exploiting the versatility of B-splines to reconfigure trajectories when collisions are predicted. this approach is integrated into a Model Predictive control (MPC) framework, implemented in a distributed manner where agents communicate predicted control point sequences defining the B-spline curves. through simulation testing across various scenarios, our approach demonstrates significant promise, paving the way for experimental validation and real-world applications. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Predictive control systems

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Wind Power Scheduling Deviation Compensation Based on Dual-Frequency Pulse control 8th

Wind Power Scheduling Deviation Compensation Based on Dual-F...

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8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Zhu, Jianhong Li, Han Gu, Juping Mao, Linxin Chen, Shaoxuan He, Yu School of Electrical Engineering and Automation Nantong University Nantong226019 China Suzhou University of Science and Technology Suzhou215009 China

ISBN: (纸本)9789819602315

the intermittency of wind power fluctuations and the low reliability of reporting scheduling plans have always affected the friendly access of grid connected wind power. "One machine, one storage" provides an effective solution. An innovative control method for dual-frequency PWM pulses in an improved bidirectional DC/DC Zeta Sepic circuit model is proposed to address the controllability of energy throughput in energy storage systems with dynamic deviation compensation for wind power planning. Firstly, by analyzing the working timing logic mechanism of the energy transfer converter, the feasibility of the energy storage throughput circuit is verified. then, by analyzing the small signal control model of the bidirectional DC/DC converter during charging and discharging operation, the dual-frequency PWM automatic control of charging and discharging conditions is achieved, and the controllability of power exchange of the energy storage system at the wind turbine grid connection point is achieved. Finally, the model predictive control (MPC) method is adopted to effectively compensate the deviation of wind power plans, which can be accurately tracked. the simulation experiment demonstrates the effectiveness and feasibility of the converter model structure and control algorithm. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： controllability

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Reinforcement Learning for Quadrupedal Locomotion: Current Advancements and Future Perspectives

Reinforcement Learning for Quadrupedal Locomotion: Current A...

引用

Mechanical engineering and Robotics Research (ICMERR), international conference on

作者： Maurya Gurram Prakash Kumar Uttam Shantipal S. Ohol Computer Science and Engineering Vellore Institute of TechnologyAP Amaravati India Electrical Electronics and Computer Science Indian Institute of Science Bangalore India COEP University Pune India

ISBN: (数字)9798331509262

ISBN: (纸本)9798331509279

In recent years, reinforcement learning (RL) based quadrupedal locomotion control has emerged as an extensively researched field, driven by the potential advantages of autonomous learning and adaptation compared to traditional control methods. this paper provides a comprehensive study of the latest research in applying RL techniques to develop locomotion controllers for quadrupedal robots. We present a detailed overview of the core concepts, methodologies, and key advancements in RL-based locomotion controllers, including learning algorithms, training curricula, reward formulations, and simulation-to-real transfer techniques. the study covers both gait-bound and gait-free approaches, highlighting their respective strengths and limitations. Additionally, we discuss the integration of these controllers with robotic hardware and the role of sensor feedback in enabling adaptive behavior. the paper also outlines future research directions, such as incorporating exteroceptive sensing, combining model-based and model-free techniques, and developing online learning capabilities. Our study aims to provide researchers and practitioners with a comprehensive understanding of the state-of-the-art in RL-based locomotion controllers, enabling them to build upon existing work and explore novel solutions for enhancing the mobility and adaptability of quadrupedal robots in real-world environments.

关键词： Legged locomotion Training Adaptation models Reinforcement learning Robot sensing systems Robustness Sensors Quadrupedal robots State estimation Optimization

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Design of a Navigation Function for a Polyhedral World

Design of a Navigation Function for a Polyhedral World

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Nicu, theodor-Gabriel Stoican, Florin Ioan, Daniel Prodan, Ionela Department of Automatic Control and Systems Engineering Romania National University of Science and Technology "Politehnica" Bucharest 313 Splaiul Independenţei Bucharest060042 Romania Univ. Grenoble Alpes Grenoble INP Institute of Engineering and Management LCIS Valence26000 France

ISBN: (纸本)9783031817236

this work pertains to the generation of navigation functions for obstacle avoidance and target tracking. One initially defines a so-called spherical world which can be further mapped into many other different topologies using a series of diffeomorphic transformations. this specific configuration further allows one to exploit the main advantages of the sum function approach with respect to the obstacle collision avoidance capabilities of an agent, sum function which is used in order to induce an effective navigation function judging not only from computational perspective, but also from the local minima point of view. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Topology

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On Minimum-Dispersion control of Nonlinear Diffusion Processes

On Minimum-Dispersion Control of Nonlinear Diffusion Proces...

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16th APCA international conference on automatic control and Soft computing, controlO 2024

作者： Chertovskih, Roman Pogodaev, Nikolay Staritsyn, Maxim Aguiar, A. Pedro ARISE Department of Electrical and Computer Engineering Faculdade de Engenharia Universidade do Porto Rua Dr. Roberto Frias Portos/n 4200-465 Portugal University of Padova Via Trieste Padova63-35121 Italy

ISBN: (纸本)9783031817236

this work collects some methodological insights for numerical solution of a "minimum-dispersion" control problem for nonlinear stochastic differential equations, a particular relaxation of the covariance steering task. the main ingredient of our approach is the theoretical foundation called ∞-order variational analysis. this framework consists in establishing an exact representation of the increment (∞-order variation) of the objective functional using the duality, implied by the transformation of the nonlinear stochastic control problem to a linear deterministic control of the Fokker-Planck equation. the resulting formula for the cost increment analytically represents a "law-feedback" control for the diffusion process. this control mechanism enables us to learn time-dependent coefficients for a predefined Markovian control structure using Monte Carlo simulations with a modest population of samples. Numerical experiments prove the vitality of our approach. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Stochastic control systems

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Highly Reliable Information Interaction and Sharing Based on Distributed Collaboration Communication

Highly Reliable Information Interaction and Sharing Based on...

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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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