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检索条件"任意字段=2nd IEEE Conference on Control Technology and Applications, CCTA 2018"

共 4153 条记录，以下是1-10 订阅

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Improving Traffic Sign Recognition with the YOLOv9 Algorithm 2

Improving Traffic Sign Recognition with the YOLOv9 Algorithm

引用

2nd International conference on Computational Intelligence, Communication technology and Networking, CICTN 2025

作者： Anand, Ketan Dwivedi, Shyam Shankar Department of Computer Science and Engineering Rameshwaram Institute of Technology & Management AKTU Lucknow India

ISBN: (纸本)9798331530389

Modern intelligent transportation systems and autonomous driving technologies are quite helpful in light of the population's increasing growth, and they work particularly well when used in conjunction with traffic sign monitoring. By giving drivers accurate and exact traffic signals, such as speed limits, warnings, and directional assistance, this makes transportation much safer. Autonomous vehicles must correctly understand these indicators in order to make wise driving judgments. Accurately identifying and classifying a wide variety of traffic signs in a range of environmental circumstances is a difficulty. A cutting-edge deep learning model created specifically for object recognition tasks is called YOLOv9 (You Only Look Once version 9).In addition to offering respectable speed and accuracy, YOLOv9 expands on the advantages of its predecessors by implementing cutting-edge strategies such as PGI and *** of these improvements, YOLOv9 is especially ideal for real-time applications like recognition of traffic signs, where more accuracy and quick and accurate object identification are essential. With an increased accuracy the results demonstrate the model's stability and dependability and show that it is appropriate for real-world uses in autonomous driving and traffic control. Subsequent investigations will concentrate on improving resilience in various situations, utilizing semi-supervised learning, creating more resource-efficient models, broadening the range of datasets, and combining traffic sign recognition with additional autonomous driving tasks. The development of dependable and effective traffic sign detection systems is furthered by this work. © 2025 ieee.

关键词： Traffic signs

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Proceedings of 2017 ieee 2nd information technology, networking, electronic and automation control conference (ITNEC 2017)

Proceedings of the 2017 IEEE 2nd Information Technology, Net...

引用

Proceedings of the 2017 ieee 2nd Information technology, Networking, Electronic and Automation control conference, ITNEC 2017 2018年 2018-January卷 1-6页

作者： Xu, Bing

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On development of a pervasive computing aided assistive systems for the elderly in Internet of Things 2

On development of a pervasive computing aided assistive syst...

引用

2nd International conference on Big Data, Computational Intelligence, and applications, BDCIA 2024

作者： Yao, Di Xing, Yutao Luo, Chenyao Song, Huaju Beijing100083 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Environmental Science Nanjing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

With the rapid development of sensors, wireless communication, and computing technology, Internet of Things (IoT) has gained significant research interest. In particular, increasing people-oriented applications and systems have been developed to improve the quality of life with intelligent services. In this paper, we propose a situational awareness system based on pervasive computing. In response to the current situation of a large number of elderly people living alone or lacking care, an intelligent assistance system model for elderly people living alone is proposed, aiming to solve problems such as forgetting to turn off lights caused by memory decline, falls caused by mobility impairment, and loss of dementia elderly people. Furthermore, we adopt the OSGi architecture to implement the proposed system. In addition, a virtual device module is designed to shield underlying device heterogeneity ensuring seamless collaboration between devices and services. To further enhance the system's capabilities, optical sensors are integrated for intelligent health monitoring, enabling real-time tracking of vital signs such as heart rate and respiratory rate, as well as early detection of potential health anomalies. To make services transparent to users, we explore the integration methods of distributed sensors and intelligent devices in pervasive computing environments. Experimental results indicate that the system can effectively improve the comfort and safety of elderly people's lives, enhance the convenience of daily affairs and risk prevention and control capabilities. Therefore, the developed system not only provides a technical framework for intelligent assistance systems for the elderly, but also has significant implications for the application of pervasive computing in the field of social welfare. © 2025 SPIE.

关键词： Assistive technology

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Deep Learning Utility for Gas/Odor Sensor Signature Analysis

Deep Learning Utility for Gas/Odor Sensor Signature Analysis

引用

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

作者： Raut, Yashasvi Chaudhri, Shiv Nath Faculty of Engineering and Technology Department of Computer Science and Engineering Maharashtra India

ISBN: (纸本)9798331505745

Gas/odor sensors are integral components of sensor systems used in diverse applications such as food quality control, environmental monitoring, medical diagnostics, odor profiling, industrial safety, agriculture, explosives detection, wine tasting, pharmaceutical quality control, and toxic gas detection. Traditional approaches in this domain of gas/odor sensing technologies face challenges related to accuracy, cross-sensitivity, and drifted real-time performance. The integration of deep learning techniques with gas sensors has shown promise in overcoming these limitations. Moreover, this amalgamation of gas sensing and deep learning strategies enables accurate identification of gases/odors, handling complex patterns, and leading optimal consumption of resources. In this paper, an overview of advancements in deep learning-enabled gas sensing has been presented that focused on methodologies, sensor types, and applications. This review also highlights the state-of-the-art techniques and identifies gaps for future directions for research. © 2025 ieee.

关键词： Damage detection

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Power Metric Based BBR Congestion control Using XGBoost 2

Power Metric Based BBR Congestion Control Using XGBoost

引用

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

作者： Midhula, K.S. Arun Raj Kumar, P. National Institute of Technology Calicut Computer Science and Engineering Department Kerala India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505745

Congestion is a prevalent challenge to every networks today due to the higher network access and inefficient utilization of available bandwidth. Bottleneck Bandwidth and Round-trip propagation time (BBR) is a popular congestion control algorithm introduced by Google. BBR estimates maximum bottleneck bandwidth and minimum propagation delay at end devices periodically to regulate the sending rate. However, there are still limitations exist due to the control parameter (called pacing gain value) used in the sending rate calculation. Since the pacing gain values used in different phases of BBR are fixed, there is an overestimation of the sending rate as well as inflight data. Thus, there is a persistent bottleneck queue formation and experiences higher network delay. In order to resolve the problem, we proposed a pacing gain prediction algorithm using XGBoost regression algorithm controlled by the power metric. The proposed algorithm adaptively predicts the pacing gain values with respect to the network parameters. The research focuses on multimedia applications, emphasizing the importance of reducing network delay to enhance Quality of Service (QoS). The proposed model achieves performance improvement than the existing regression models. © 2025 ieee.

关键词： Quality of service

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Performance Analysis of Solar Powered KY Converter 2

Performance Analysis of Solar Powered KY Converter

引用

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

作者： Elangovan, P. Abdullah, S. Sithika, Avesha Ibrahim, V. Mohamed Haire, S. Sumayathul B.S. Abdur Rahman Crescent Institute of Science and Technology Department of EEE Chennai India

ISBN: (纸本)9798331505745

This research examines the superiority of a KY converter powered by solar energy. The investigation is conducted in two phases. Firstly, the KY converter functions in an open-loop configuration with different duty cycles, and the agreeing output results are evaluated to validate the voltage equation of the KY converter. Finally, a closed-loop control configuration is employed by scheming a Proportional-Integral (PI) controller. The regulation of the PI controller parameters is amended using the Grasshopper Optimization Algorithm (GOA) to improve voltage regulation. The MATLAB simulation results authenticate the superiority of the GOA-based PI regulator in attaining stable and ripple free voltage regulation under dynamic operating conditions. The proposed GOA is compared with traditional algorithms and the analysis validates the superiority of the projected optimization technique. The findings of this research work such as ripple free output voltage and output current provide valuable insights into the integration of KY converters in solar energy applications. The presented work underwrites to the progression of optimized power converters for solar energy systems, confirming unchanging and efficient power transfer. © 2025 ieee.

关键词： Proportional control systems

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Robotic Arm Manipulator Integration with Commanded Mode Rover for Industrial Automation 2

Robotic Arm Manipulator Integration with Commanded Mode Rove...

引用

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

作者： Rakesh, M. Naresh, T. Venkata Arshad, Syed Swamy, K.C.T. Sultana, S. Fowzia G. Pullaiah College of Engineering and Technology Dept of Electronics and Communication Engineering Kurnool India

ISBN: (纸本)9798331505745

This paper presents the development and implementation of a Robotic arm manipulator integration with commanded mode rover to perform efficient pick-and-place operations in dynamic and uneven terrains. The rover executes three primary tasks such as picking objects using the manipulator, autonomously detecting and avoiding obstacles, and placing objects at designated location with high precision. The rover is controlled via a command-based interface which offers user-friendly operation and adaptability to various environments. The integration of obstacle detection and avoidance, along with robotic arm manipulator control allows the rover to perform tasks remotely from a base station and reliably in challenging conditions. Experimental results validate the rover's performance, highlighting its ability to tackle diverse scenarios with high accuracy and efficiency. This designed rover finds the potential applications in industrial automation, disaster response, and extraterrestrial exploration. © 2025 ieee.

关键词： Robotic arms

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The Anisotropic Norm of Random Vectors: Defining via a Symmetric Tsallis Divergence 2

The Anisotropic Norm of Random Vectors: Defining via a Symme...

引用

2nd ieee conference on control technology and applications (ccta)

作者： Chernyshov, Kirill R. Russian Acad Sci VA Trapeznikov Inst Control Sci Lab Syst Identificat Moscow Russia

ISBN: (纸本)9781538676981

An alternative approach to define the anisotropic norm of random vectors is proposed, based on a symmetric Tsallis divergence measure constructed within the present paper. The consideration is motivated by a definition available in the literature, which is based on Kullback-Leibler divergence and, thus, being non-symmetric, what, at least from a theoretical point of view, stimulates to consider some other possibilities in this field.

关键词： Entropy Covariance matrices Probability distribution control theory Filtering Optimization Hilbert space

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Inertial-Based control of an Electrically Assisted Pushcart 2

Inertial-Based Control of an Electrically Assisted Pushcart

引用

2nd ieee conference on control technology and applications (ccta)

作者： Onesto, Luca Corno, Matteo Savaresi, Sergio Politecn Milan Dipartimento Elettron Informaz & Bioingn I-20133 Milan Italy

ISBN: (纸本)9781538676981

This work proposes a control strategy for an electrically assisted pushcart that reduces the effort of the user. The adopted approach exploits inertial measurements to compensate the gravity force, due to road slope, and the inertial force during acceleration maneuvers. The control system modulates the assistance taking in account different terrain surfaces, through the estimation of the road imperviousness and of the cart's payload. Different tests performed on a prototype show the advantages of the proposed control strategy.

关键词： Roads Estimation Force Payloads Acceleration Force measurement Wheels

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Fault tolerant control using disturbance observer by mutual compensation of steer-by-wire and in-wheel motors 2

Fault tolerant control using disturbance observer by mutual ...

引用

2nd ieee conference on control technology and applications (ccta)

作者： Tashiro, Tsutomu Osaka Sangyo Univ Dept Mech Engn Transportat 3-1-1 Nakagaito Daito Osaka Japan

ISBN: (纸本)9781538676981

In this paper, a fault tolerant control method is proposed for vehicles with steer-by-wire and in-wheel motors. In such vehicles, the lateral motion of the vehicle can be controlled by two means, the steering angle and driving force difference between the left and right wheels. Therefore, even if one of the steering or driving systems fail, the influence of the failure on the lateral motion of the vehicle can be compensated by the other system. The objective of this study is to achieve this function without detecting which system is faulty. This is realized by the disturbance observer following the yaw rate to the target value calculated from the target steering angle. The convergence to the target yaw rate is analyzed considering three cases: (i) both the steering and driving systems are normal, (ii) the steering system is faulty but the driving system is normal, and (iii) the steering system is normal but the driving system is faulty. The performance and effectiveness of the control is demonstrated through simulation.

关键词： conferences

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