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Enhancing Urban Water Distribution: The Role of Automated systems and PLC Applications

Enhancing Urban Water Distribution: The Role of Automated Sy...

引用

2024 IEEE international conference on Modeling, Simulation and intelligent computing, MoSICom 2024

作者： Ashique, Abdul Azeez Rebello, Ashton Subramanian, Ganesan Chandrasekar, Naveen Manipal Academy of Higher Education Dept. of Mechatronics Engineering Dubai United Arab Emirates Dubai. Manipal Academy of Higher Education Dept of Computer Studies Symbiosis International University Dubai United Arab Emirates

ISBN: (纸本)9798331533311

Due to the increase in population accompanied by the expansive growth of urban residential areas, the demand for efficient and reliable water distribution systems has increased rapidly. And as urbanisation increases day by day this demand for water is equal to the need for sustainable water management and distribution systems. Thus, it becomes an utmost necessity for the implementation of proper controlling and monitoring mechanisms to prevent wastage of water and also attempts of water theft. As a solution to these challenges, many advanced technologies have been identified all over the world to ensure effective distribution of water to reach every household especially in urban areas. Therefore, my paper estimates and understands the current state of automated water distribution systems with a prime focus on monitoring performance and control through PLC (programmable logic controller) applications. In the initial areas of this paper, it focuses on the basic concept of automatic water distribution that has been implemented in the current scenario in urban areas. This study includes thorough research on the details of the system, how it is operated, its principles, and intended functions. The next stage of research will be focussed on a comparative analysis of various technologies that have been studied and implemented in the field of automated water distribution. This paper shows key innovations, challenges and future goals in the realm of automated water distribution. It also shows the possibility for the integration of PLC systems, discussing how efficiently these systems contribute to the optimization of the water distribution process. Thus, proving PLC systems plays a crucial role in improving the overall performance and sustainability of water distribution systems by monitoring real-time data. © 2024 IEEE.

关键词： Water distribution systems

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Humanoid Walking System with CNN-based Uneven Terrain Recognition and Landing control with Swing-leg Velocity Constraints

Humanoid Walking System with CNN-based Uneven Terrain Recogn...

引用

IEEE/RSJ international conference on intelligent Robots and systems (IROS)

作者： Sato, Shimpei Kojima, Kunio Hiraoka, Naoki Okada, Kei Inaba, Masayuki Univ Tokyo Dept Mechano Informat 7-3-1 HongoBunkyo Ku Tokyo 1138656 Japan

ISBN: (纸本)9781665491907

In order for a humanoid robot to traverse uneven terrain without falling over, the robot must control its landing position appropriately. To determine the landing position, there are two difficulties in terrain recognition and leg motion control. In terrain recognition, it is difficult to recognize and avoid terrain such as steps and obstacles that cannot be landed on in real-time. In leg motion control, it is necessary to land at appropriate positions and times to control the CoG trajectory while limiting the velocity of the swing-leg to suppress the landing impact. For solving these problems, we propose a recognition and walking control system on uneven terrain. In terrain recognition, we improved the recognition accuracy while satisfying real-time performance by using a CNN that learns the relationship between the foot and the geometric information of the surrounding terrain. In the leg motion control, landing impact was reduced by modifying the landing position under not only (1) terrain constraint and (2) robot stability constraint, but also (3) leg velocity constraint. We verified the effectiveness of the proposed system through uneven terrain walking and push recovery experiments using the actual robot.

关键词： Motion control

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Efficient Mobile Edge computing for Better Computation Offloading and Real Time Task Prediction Using Deep Reinforcement Learning Algorithm 3

Efficient Mobile Edge Computing for Better Computation Offlo...

引用

3rd international conference on Communication, control, and intelligent systems, CCIS 2024

作者： Erukulla, Naresh Mashetty, Harish Jella, Naresh Belidhe, Sandeep Pishati, Varun Reddy Enesheti, Bharath Kumar United States

ISBN: (纸本)9798331528201

Effective Mobile Edge computing (MEC) has become essential due to the quick spread of mobile devices and the rising demand for real-time applications. MEC lowers latency and improves performance by bringing processing resources closer to end users. In order to maximize computation offloading and real-time task prediction in MEC, this work explores the application of Deep Reinforcement Learning (DRL) methods. We want to overcome the difficulties presented by dynamic and diverse network environments by utilizing DRL to increase the effectiveness of task execution and resource management. Significant gains in task prediction accuracy, offloading efficiency, and overall system performance are demonstrated by our suggested method. The dynamic and varied nature of mobile surroundings presents obstacles for MEC, despite its potential, in compute offloading and real-time task prediction. To maintain low latency, manage resource utilization, and balance the load between edge and cloud servers, effective offloading decisions are essential. Furthermore, proactive resource allocation and management depend on the ability to forecast real-time workloads with accuracy. In order to improve computation offloading and real-time task prediction, this research investigates the use of Deep Reinforcement Learning (DRL) algorithms in MEC. Our suggested architecture uses deep reinforcement learning to forecast activities in real time and make adaptive decisions on offloading, thus enhancing system performance. © 2024 IEEE.

关键词： Deep reinforcement learning

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OpenCV and its Applications in Artificial intelligent systems 5

OpenCV and its Applications in Artificial Intelligent System...

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5th international conference on intelligent computing, Communication, Networking and Services, ICCNS 2024

作者： Odeh, Ayman Odeh, Nada College Of Engineering Al Ain University Department of Software Engineering Al Ain United Arab Emirates College Of Information Technology UAEU Department of Computer Science and Software Engineering Al Ain United Arab Emirates

ISBN: (纸本)9798350354690

This paper explores the utilization of OpenCV (Open-Source Computer Vision Library) in artificial intelligence (AI) systems, elucidating its pivotal role in advancing various applications across diverse domains. OpenCV, renowned for its comprehensive functionalities and real-time processing capabilities, has become instrumental in tasks such as object detection (OD), facial recognition (FR), and image processing (IP). However, despite its widespread adoption, there remains a need for a thorough examination of its integration within AI frameworks and the optimization of its functionalities. Through a comprehensive analysis, this study delineates the advantages, limitations, and potential areas for improvement of OpenCV in AI applications. Case studies exemplifying its efficacy in OD, FR, and autonomous systems further elucidate its practical implications. By delving into these aspects, this paper not only underscores the significance of OpenCV in AI but also provides valuable insights for researchers, developers, and practitioners aiming to leverage its capabilities in their endeavors. This study collectively underscores the significant role of OpenCV in enhancing the capabilities of AI systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Advancing Human-Computer Interaction: Real-Time Gesture Recognition and Language Generation Using CNN-LSTM Networks

Advancing Human-Computer Interaction: Real-Time Gesture Reco...

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2024 international conference on Innovative computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Kavitha, M. Brintha Rajakumari, S. Bharath Institute of Higher Education and Research Department of Computer Applications Tamil Nadu Chennai India Bharath Institute of Higher Education and Research Department of Computer Science Tamil Nadu Chennai India

ISBN: (纸本)9798331543617

Efficient human-computer interaction (HCI) has pushed forward hand gesture recognition (HGR), and natural language utterance generation (NLUG). Traditional systems are limited because these rely on static infrastructure and manual processing, accompanied by inaccuracies and latency. In comparison, the proposed system uses an advanced fusion of convolutional neural networks (CNNs) for gesture recognition and long short-term memory (LSTM) networks for language generation to achieve real-time processing with context-aware responses. The results of the experiments showed a 90.5% increase in precision for gesture recognition and BLEU score 0,715 NLUG were described as displaying superiority to existing systems on the tool performance The proposed approach also reduces the latency to 90 ms, while in traditional systems it is about 150 ms. These results suggest an opportunity to reimagine HCI systems as truly immersive and efficient, responsive experiences that can optimize not only user interactions with applications in specific domains, but also social computing at large. © 2024 IEEE.

关键词： Real time systems

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License Plate Recognition-Based Automatic Gate Opening System

License Plate Recognition-Based Automatic Gate Opening Syste...

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2024 IEEE international conference on Information Technology, Electronics and intelligent Communication systems, ICITEICS 2024

作者： Revanth, Yellanki Namitha, Kalakunnath Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350382693

This study proposes an automatic electronic gate system that uses three main modules for authenticity confirmation: vehicle make and model, validation of license plate, and facial recognition. When a vehicle arrives at a gate or entrance, the system detects the vehicle, recognizes the license plate, and make and model, cross-references it with the database, and validates the driver's face against stored data. When there is a match, the Raspberry Pi signals the servo motor to open the gate;if not, an alert system is triggered. The proposed system is intended to improve security and convenience while decreasing the need for traditional access control measures such as stickers or security guards. Experimental results show that the system is capable of successfully identifying vehicles and number plate readings, with high precision and recall. The integration of several deep learning models, such as YOLO v7, YOLO v7-Tiny, and ResNet, contributes to the overall efficiency and performance of the system. © 2024 IEEE.

关键词： Deep learning

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AI assisted Dynamic Bus Lane control in Connected Urban Environments: The case of Intermittent Dynamic Bus Lanes 26

AI assisted Dynamic Bus Lane Control in Connected Urban Envi...

引用

IEEE 26th international conference on intelligent Transportation systems (ITSC)

作者： Katzilieris, Konstantinos Kampitakis, Emmanouil Vlahogianni, Eleni I. Natl Tech Univ Athens Dept Civil Engn Athens Greece

ISBN: (纸本)9798350399462

This paper introduces a novel bus prioritization approach called Intermittent Dynamic Bus Lanes (IDBL) that aims to enhance the reliability and efficiency of bus operations, while minimizing their impact on adjacent traffic. It does so by utilizing a fully decentralized intelligent control mechanism for individual buses that regulates nearby traffic by deciding whether to activate or deactivate a dynamic exclusion zone of fixed distance downstream of the bus, based on the existing traffic conditions and the delay of the bus based on the scheduled arrival times at each bus stop. The intelligent mechanism is trained based on the principles of reinforcement learning in a single-agent non-stationary episodic task, yet evaluated in multi-agent settings with continuous bus flow (agents) under different demand patterns, showing its excellent transferability. Moreover, the proposed scheme is compared to typical Dynamic Bus Lanes (DBL) schemes, Exclusive Bus Lanes (EBL) and Mixed Traffic conditions on the public transport operational stability and reliability, as well as the disturbance to general vehicular traffic. Results indicate that IDBL outperforms the other strategies, rendering IDBL as an efficient transit prioritization strategy and highlighting the potential of using intelligent mechanisms for bus operation control.

关键词： Dynamics

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Research on wind turbine variable pitch control based on wind speed estimation 19

Research on wind turbine variable pitch control based on win...

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19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile systems and Pervasive computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024

作者： Li, Xiaokun Wang, Haoran Yue, Xuxin Liu, Ruibo Luo, Zhan Cai, Zhaobing Deng, Xiangtian Cai, Ruiqi Three Gorges Intelligent Industrial Control Technology Co. Ltd Wuhan430070 China Wuhan University of technology Wuhan430400 China

With the continuous promotion of the "double carbon" strategy, the capacity of wind turbines is increasing, and the dimensions of key parts such as the diameter of the wind turbine wheel, the height of the tower, and the radius of the tower tube are also increasing. Large wind turbines have a large inertia, so the execution time of the pitch actuator and the response time of the pitch action are usually longer, which leads to large fluctuations in the output power of the wind turbine when the wind speed changes rapidly under the working conditions above the rated wind speed and leads to complex loading problems. Therefore, in this paper, the design of pitch control is carried out by estimating the effective wind speed at the wind turbine surface and using the inverse system method to transform the nonlinear wind turbine system into a linear decoupled form. This method improves the pitch response speed, reduces the output power fluctuation, and better suppresses the load of the turbine to ensure the safe and stable operation of the turbine © 2024 The Authors. Published by Elsevier B.V.

关键词： Windmill

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RFID Door Lock Access control systems: Trends, Technologies and Applications 3

RFID Door Lock Access Control Systems: Trends, Technologies ...

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3rd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Nair, Adwaith A. Adithyan, R. Unni, Akshara Nalinakshan, Shankar Department of Electrical and Electronics Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798331527549

Radio Frequency Identification (RFID) door lock systems are at the forefront of modern access control technology, combining security, convenience, and scalability. This paper presents a comprehensive review of RFID-based access control systems, highlighting their fundamental components, operational mechanisms, and advantages over traditional methods. Key innovations in RFID technology, such as integration with IoT platforms and mobile devices, are discussed in the context of enhancing system functionality and user experience. Moreover, this paper examines the challenges associated with RFID implementations, including data security vulnerabilities, signal interference, and high installation costs, while suggesting potential solutions. Through this analysis, the paper highlights the growing relevance of RFID access systems in residential, commercial, and industrial environments, paving the way for further advancements in secure and intelligent access control *** research identifies key challenges in traditional access control systems, such as susceptibility to breaches, lack of scalability, and operational inefficiency. RFID door lock systems emerge as an advanced solution, integrating wireless communication, IoT platforms, and mobile devices to address these limitations. This study presents an in-depth analysis of RFID systems, highlighting their components, operational mechanisms, and comparative advantages. Considering issues such as vulnerability to data security, interference signals, and a high price tag for the installation, this paper suggests possibilities with solutions of viable, secure, scalable, and intelligent access control systems. Hence, the transformative RFID technology into a residential, commercial, or industrial domain holds an immense study area. © 2025 IEEE.

关键词： Radio frequency identification (RFID)

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intelligent Wheelchair Design for Individuals with Disabilities: An IoT Approach Grounded in AI-ML Technologies 15

Intelligent Wheelchair Design for Individuals with Disabilit...

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Patil, Abhishek Pavithra, G. Manjunath, T.C. IQVIA RDS Pvt. Ltd. Omega Embassy TechSquare Marathahalli - Sarjapur Outer Ring Rd Kadubeesanahalli Karnataka Bengaluru560103 India Dept. of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India

ISBN: (纸本)9798331300579

intelligent Wheel Chairs are mechanical devices that let the person move around on their own. As a result, the wheelchair user needs to exert less energy and effort to turn the wheels. Furthermore, it enables visually or physically challenged individuals to go from one location to another. The wheel-chair also contains a system for recognising obstacles, which reduces the risk of mishaps when moving. In recent years, smart wheelchairs have piqued people's interest. These devices are particularly beneficial for getting from one location to another. The gadgets can also be utilised in nursing homes for elderly people who have trouble moving about. For people who have lost their mobility, the devices are a godsend. There have been several types of intelligent wheelchairs developed in the past, however, new wheelchair generations are being produced and put to use that have artificial intelligence and provide the user a few options. People with certain lifelong disabilities brought on by accident, paralyses, or old aged, sometimes rely on other people for assistance. Their independence is increased by giving them access to remote health care via a health monitoring system, since the doctor continuously keeps track of their health without making any effort. By going there the services online, they can only speak with their doctors directly in the event of an emergency. intelligent healthcare systems assist impaired individuals because they cannot afford to go acquire entry to the medical systems. There are a lot of disabled people in the world today who have trouble moving around or going about their daily lives. These people are primarily reliant on other people for support. But they can become self-independent and accomplish some everyday activities on their own with the support of assistive gadgets. Wheelchairs are the assistive technology that is most commonly utilised. A wheelchair is essentially a chair with wheels that can assist those who are unable to walk due to

关键词： Wheels

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