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共 63921 条记录，以下是1641-1650 订阅

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Research on Automatic Troubleshooting Method of Power Grid Information System Based on Dependency Analysis 3

Research on Automatic Troubleshooting Method of Power Grid I...

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3rd international conference on Smart Generation computing, communication and Networking, SMART GENCON 2023

作者： Liang, ZheHeng Shen, WuQiang Yao, ChaoSheng Joint Laboratory on Cyberspace Security of China Southern Power Grid Guangzhou510000 China Guangdong Power Grid Guangzhou510000 China

ISBN: (纸本)9798350319125

With the increasing complexity of power grid information system, troubleshooting has become an important and challenging task. Traditional troubleshooting methods usually rely on manual inspection and experience, but this method is inefficient and error-prone. In order to solve this problem, more and more researchers begin to pay attention to automatic troubleshooting technology. Among them, correlation analysis, as an important data analysis method, plays an important role in automatic troubleshooting. This paper will discuss in detail the role of correlation analysis in automatic troubleshooting of power grid information system. © 2023 IEEE.

关键词： automation theory Dependency analysis algorithms Grid information system Operation and maintenance

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MultimodNet: A Multimodal Deep Learning Model for COPD Staging based on Chest X-Ray and Pulmonary Function Tests 3

MultimodNet: A Multimodal Deep Learning Model for COPD Stagi...

引用

3rd international conference on automation, computing and Renewable Systems, ICACRS 2024

作者： Krishnaveni, A. Rajkumar, G. Vinoth Raj, J. Relin Francis Krishnan, R. Santhana Murali, S. Settu, Imran Javeed Department of Mechanical Engineering Government College of Engineering Tirunelveli India Department of Electronics and Communication Engineering J.P. College of Engineering Tenkasi India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Electronicsand Communication Engineering SCAD College of Engineering and Technology Cheranmahadevi India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai India

ISBN: (纸本)9798331532420

Chronic Obstructive Pulmonary Disease (COPD) represents a major global health challenge, with early and accurate diagnosis being essential for improving patient outcomes. Traditional diagnostic approaches often rely on single-modality assessments, which may not fully capture the complexity of the disease. This research introduces MultimodNet, a deep learning framework that integrates both chest X-ray images and Pulmonary Function Test (PFT) data to provide a more comprehensive classification of COPD stages. By combining structural information from chest X-rays with functional lung metrics like FEV1, FVC, and the FEV1/FVC ratio, MultimodNet aims to enhance the accuracy and reliability of COPD diagnosis. The core strength of MultimodNet lies in its multimodal approach, which allows for the processing and fusion of diverse data types to overcome the limitations of using a single modality. This integration helps the model provide more accurate predictions regarding COPD progression, classifying patients into one of four stages: Initial, Progressive, Complicated, and Critical. These stages reflect the disease's clinical trajectory, from the onset of symptoms through to advanced stages where life-threatening complications may arise. By leveraging both imaging and clinical data, MultimodNet offers a powerful diagnostic tool that can assist healthcare providers in making early and precise decisions, leading to better treatment planning and improved patient care. This framework has the potential to not only enhance diagnostic workflows but also contribute to the broader field of AI-driven healthcare solutions, where multimodal data integration plays a key role in advancing disease detection and management. © 2024 IEEE.

关键词： Patient treatment

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On Graph Theory vs. Time-Domain Discrete-Event Simulation for Topology-Informed Assessment of Power Grid Cyber Risk

On Graph Theory vs. Time-Domain Discrete-Event Simulation fo...

引用

2024 international conference on communications control and computing Technologies for Smart Grids

作者： Hague, Khandaker Akramul Al Homoud, Leen Zhuang, Xin Elnour, Mariam Goulart, Ana Davis, Katherine Texas A&M Univ Dept Elect & Comp Engn College Stn TX 77834 USA Texas A&M Univ Dept Engn Technol & Ind Distribut College Stn TX USA

ISBN: (纸本)9798350318562;9798350318555

The shift toward more renewable energy sources and distributed generation in smart grids has underscored the significance of modeling and analyzing modern power systems as cyber-physical systems (CPS). This transformation has highlighted the importance of cyber and cyber-physical properties of modern power systems for their reliable operation. Graph theory emerges as a pivotal tool for understanding the complex interactions within these systems, providing a framework for representation and analysis. The challenge is vetting these graph theoretic methods and other estimates of system behavior from mathematical models against reality. High-fidelity emulation and/or simulation can help answer this question, but the comparisons have been understudied. This paper employs graph-theoretic metrics to assess node risk and criticality in three distinct case studies, using a Python-based discrete-event simulation called SimPy. Results for each case study show that combining graph theory and simulation provides a topology-informed security assessment. These tools allow us to identify critical network nodes and evaluate their performance and reliability under a cyber threat such as denial of service threats.

关键词： graph theory betweenness centrality cyber-physical simulation communication networks time-domain verification denial-of-service

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Automated Electric Arm with FPGA Processor and Embedded Systems

Automated Electric Arm with FPGA Processor and Embedded Syst...

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2023 IEEE international conference on Integrated Circuits and communication Systems, ICICACS 2023

作者： Menaka, G. Horpyati, Vinayak Siva Kumar Reddy, A. Awasthy, Mohan Shashidhar, K.S. Cmr Technical Campus Dept of Information Technology Hyderabad India H. K. E. Society's S. L. N. College of Engineering Dept of Mechanical Engineering Raichur India K L University Vadeeshwaram Dept of Computer Science & Engineering Vijayawada India Bharati Vidyapeeth Peeth Deemed to Be University Department of Engineering and Technology Navi Mumbai India Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350398465

The field of robotics makes use of a wide variety of electrical and mechanical techniques, in addition to other approaches including computing, intelligence, and the creation of new technologies that are now in use as well as those that are still in the development stage. Industries all over the world are now in a position to produce a wide variety of technologies thanks to the rapid expansion of robotics and automation. Real-time image and video processing presents a number of significant obstacles, one of the most significant of which is the execution of complicated functions and high computing jobs. On the Xilinx Zynq®-7000 System on-Chip (SoC) device, which consists of Dual-core Cortex -A9 processors and which provides the computing ability to perform with the assistance of software libraries created with Vivado® High-Level Synthesis, a hardware acceleration of various filter algorithms for both image and video processing has been implemented. This was done so that the problem could be resolved (HLS). In these kinds of activities, it is necessary for the manipulator to move along a route that has been specified in advance. This presents a significant challenge for the manipulator's motion or trajectory planning as well as its motion control. It is necessary to do extensive research on the arm dynamics and the control of the limited motion of the manipulators before attempting to position the arm. A fundamentally dynamical challenge lies behind the successful management of industrial robots. The accuracy with which parameter deviations or errors are measured is the foundation for determining a control system's level of effectiveness. Through the development of a novel mathematical technique known as the Single Term Haar Wavelet Series method, the current study intends to perform an analysis of the control system of an industrial robot arm and a reduction in the amount of error that takes place while the robot is working continuously. © 2023 IEEE.

关键词： Manipulators

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Smart control of Traffic Lights using Artificial Intelligence 15

Smart Control of Traffic Lights using Artificial Intelligenc...

引用

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

作者： Pushpa, P. Kumar, Racha Phani Sai, Miniga Prem Sanjay, Minukuri Department of Electronics and Communication Engineering Vignana Bharathi Institute of Technology Telangana Ghatkesar501301 India

ISBN: (纸本)9798331300579

The increasing number of vehicles and urban population has made traffic congestion a serious problem. In addition to creating traffic jams and driver frustration, this issue raises fuel consumption and pollutes the air. Although congestion is a problem everywhere, megacities get the worst of it. The increasing traffic volume emphasizes how crucial real-time road traffic density estimations are to improved signal control and effective traffic management. The management of traffic flow is largely dependent on traffic controllers, and in order to keep up with demand, traffic control systems must be optimised. Our suggested method uses artificial intelligence (AI) and image processing to determine traffic density utilising real-time video feeds from traffic intersections. It also concentrates on creating algorithms to modify traffic light timings according to vehicle density, which will lessen traffic, facilitate quicker transit, and cut down on pollution. © Grenze Scientific Society, 2024.

关键词： Traffic congestion

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A Survey of Hybrid Wireless Sensor Networks Protocols for Energy Efficient Environmental Monitoring Systems 2

A Survey of Hybrid Wireless Sensor Networks Protocols for En...

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2nd IEEE international conference on Device Intelligence, computing and communication Technologies, DICCT 2024

作者： Saxena, Prakash Bhadauria, Sarita Singh Kushwah, Aparna Singh University Institute of Technology Rgpv Dece Bhopal India

ISBN: (纸本)9798350372847

This article presents a comprehensive review focusing on Hybrid Wireless Sensor Networks (HWSNs). It emphasizes the interplay between Wireless Medium Access control (WMAC) and routing protocols, specifically addressing channel allocation and route identification for energy efficiency in HWSNs. Through an intensive exploration, the article details crucial energy opti-mization and load balancing strategies, aiming to enhance WSN approaches based on WMAC and wireless routing protocols. The study highlights the significance of tailored communication protocols for resource-constrained environments, emphasizing channel and route control. It underscores the necessity for classified results derived from appropriate experimental conditions to extract essential insights. Challenges pertaining to energy-efficient channel management policies, medium utilization quality, energy-aware WMAC routines, node vitality, connectiv-ity, and optimized neighbor discovery processes are thoroughly examined. Given the susceptibility of battery-powered sensor nodes to unforeseen energy depletion, the article underscores the dynamic nature of HWSNs in real-time scenarios. It critically analyzes recent research endeavors in addressing these challenges, evaluating their technical advantages, limitations, and scientific contributions. Notably, it focuses on energy-efficient WMAC principles, optimized medium utilization, and energy-sensitive wireless routing protocols within HWSNs. © 2024 IEEE.

关键词： Medium access control

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Rmagine: 3D Range Sensor Simulation in Polygonal Maps via Ray Tracing for Embedded Hardware on Mobile Robots

Rmagine: 3D Range Sensor Simulation in Polygonal Maps via Ra...

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IEEE international conference on Robotics and automation (ICRA)

作者： Mock, Alexander Wiemann, Thomas Hertzberg, Joachim Osnabruck Univ Inst Comp Sci Knowledge Based Syst Grp Berghoffstr 11 D-49090 Osnabruck Germany Osnabruck Univ Inst Comp Sci Amonomous Robot Grp Berghoffstr 11 D-49090 Osnabruck Germany DFKI Niedersachsen Plan Based Robot Control Berghoffstr 11 D-49090 Osnabruck Germany

ISBN: (纸本)9798350323658

Sensor simulation has emerged as a promising and powerful technique to find solutions to many real-world robotic tasks like localization and pose tracking. However, commonly used simulators have high hardware requirements and are therefore used mostly on high-end computers. In this paper, we present an approach to simulate range sensors directly on embedded hardware of mobile robots that use triangle meshes as environment map. This library, called Rmagine, allows a robot to simulate sensor data for arbitrary range sensors directly on board via ray tracing. Since robots typically only have limited computational resources, Rmagine aims at being flexible and lightweight, while scaling well even to large environment maps. It runs on several platforms like Laptops or embedded computing boards like NVIDIA Jetson by putting an unified API over the specific proprietary libraries provided by the hardware manufacturers. This work is designed to support the future development of robotic applications depending on simulation of range data that could previously not be computed in reasonable time on mobile systems.

关键词： Ray tracing

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Real-Time controller Hardware-In-the-Loop Cyber Physical Testbed Using IEC 61850 GOOSE Protocol

Real-Time Controller Hardware-In-the-Loop Cyber Physical Tes...

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2024 international conference on Power System Technology

作者： Basumatary, Khwrwmdao Shukla, Anup Gonzalez-Longatt, Francisco Indian Inst Technol Dept Elect Engn Jammu India Loughborough Univ Digital Energy Syst Lab Loughborough Leics England

ISBN: (纸本)9798350351293;9798350351286

The future medium-voltage (MV) distribution system will see more Distributed Energy Resources (DERs) and a higher proliferation of multi-vendor Intelligent Electronic Devices (IEDs) for node monitoring and feeder protection against faults. Recently, the IEC 61850 standard Generic Object Oriented Substation Event (GOOSE) protocol has been widely deployed for real-time monitoring, substation automation, and interoperability in power systems. However, the reliability of IEDs and GOOSE communication is critical due to evolving cyber-threats;this urgency stresses the importance of cyber-physical models to analyse the operational compatibility and vulnerabilities prior to deployment in the grid. This paper developed a Cyber-Physical Testbed that integrates a feeder protection relay (SEL-751) and Real-Time automation controller (SEL-3350 RTAC) with a high-fidelity Real-Time Digital Simulator (RTDS) via the GOOSE protocol. The feasibility of the testbed is validated with the RTDS in benchmark CIGRE European MV network, and performance is evaluated in two operating scenarios: steady-state and bolted 3-phase fault;and subsequently, frequency, active power, voltage, current and circuit breaker status were monitored in RTAC. Upon successful validation, the testbed is fit for applications such as assessing cyber-threats, testing control algorithms and resiliency;it also serves as a foundation for researchers and automation engineers who are new to IEC 61850 GOOSE.

关键词： IEC 61850 GOOSE Cyber-physical systems automation controller Feeder protection Cyber-attack

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Remote Monitoring and control of Agricultural Systems Using IoT and Machine Learning 3

Remote Monitoring and Control of Agricultural Systems Using ...

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international conference on Advances in computing, communication and Applied Informatics (ACCAI)

作者： Raj, G. Bhupal Mohan, Chinnem Rama Karthik, A. Nagpal, Amandeep Laxmi, Ms Vijay Asha, V SRUniv Sch Agr Warangal Telangana India Narayana Engn Coll Dept Comp Sci & Engn Nellore 524004 Andhra Pradesh India Inst Aeronaut Engn Hyderabad India Lovely Profess Univ Phagwara India Maharishi Markandeshwar Univ Ambala India New Horizon Coll Engn Dept Comp Applicat Bangalore Karnataka India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

Cutting-edge technology is essential to improve resource use, output, and farming methods to meet climate change and other needs. This research uses IoT and machine learning to remotely track and operate agricultural *** Internet of Things (IoT) lets several sensors strategically placed around the farm collect data simultaneously. These sensors assess temperature, humidity, and soil wetness, which determine crop health. The data is wirelessly delivered from a central location to a designated area for processing and *** learning is used to interpret data. These algorithms can improve irrigation schedules, predict food yields, diagnose diseases, and offer insect control alternatives. Machine learning (ML) models improve by learning from data and adapting to environmental *** system allows remote farming monitoring using actuators and automated tools. An easy-to-use interface on desktops or mobile devices allows agricultural experts utilise machine learning models to regulate insecticides, modify irrigation water, and start harvesting *** proposed technology improves farming productivity, durability, resource efficiency, and cost. It encourages farmers to make sensible decisions and manage their resources to better address environmental *** conclude, Machine Learning and the Internet of Things could considerably improve farming system remote monitoring and control. The development of new technologies in this field is crucial to its long-term success and ability to provide for future generations.

关键词： Remote Monitoring control Systems Agricultural IoT Precision Agriculture Machine Learning Sensor Networks Data Analytics

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Cancer Detection Using MEMS Technology 5

Cancer Detection Using MEMS Technology

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5th international conference on Circuits, control, communication and computing, I4C 2024

作者： Praveen, Pragna Lakshmi, S. Electronics and Communication M.S Ramaiah Institute of Technology Bengaluru India

ISBN: (纸本)9798331528539

Cancer is a chronic illness marked by reduced immunity as a result of the body's cellular deterioration. In the later stages, this may prove to be harmful and cause long-term damage and organ failure. The process of making a medical diagnosis can be challenging and filled with uncertainty. Variations in symptoms can result in different diagnoses. For the early detection of cancer, a variety of invasive and non-invasive techniques are available. Some can detect in its early stages, but are expensive, prone to human error and time consuming. The demand for non-invasive method has grown which does not involve any machinery. MEMS is a non-invasive method for the detection of cancer and is efficient with the results as it includes microstructures and nanotechnology structures. Here, use of a microcantilever structure with various designs to detect the presence of cancer is discussed for different types of cancers. Based on the deflection of the cantilever, various types of cancer can be detected. Piezoelectric material has been included for the microcantilever structure to detect cancer. Another method implemented for detecting cancer is a temperature sensor with a micro-probe. Both these approaches have been simulated and the results show that these devices can be fabricated and tested. These methods present real-time, quick, effective, and accurate diagnosis. © 2024 IEEE.

关键词： Nanocantilevers

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