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Voltage Stability Analysis of Distribution Network Using Artificial Neural Network

Voltage Stability Analysis of Distribution Network Using Art...

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Advances in Electrical, computing, Communication and Sustainable Technologies (ICAECT), international conference on

作者： Reethu Dhanya Jeevendu M. R. M. Shereef Samina T. Dept. Electrical Engineering College of Engineering Trivandrum (Affiliated to APJ Abdul Kalam Technological University Thiruvananthapuram Kerala India

ISBN: (数字)9798350356236

ISBN: (纸本)9798350356243

The power distribution networks are continuously subjected to voltage fluctuations and stability issues such that the need for a competent strategy for predicting the stability status has become crucial for the smooth functioning of the power system. In this paper, an artificial neural network based modal analysis technique is proposed to enhance the conventional voltage stability methods by reducing the huge computations involved and making them time efficient and capable of real-time applications. The proposal is validated by testing in ieee 15 and 33 bus radial distribution networks. The results obtained show a promising application of machine learning based voltage stability prediction.

关键词： Jacobian matrices Voltage fluctuations Modal analysis Artificial neural networks Distribution networks Power system stability Stability analysis real-time systems Topology Testing

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Defensive Strategies Against CAN-Bus Infiltrations

Defensive Strategies Against CAN-Bus Infiltrations

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Industrial Electronics: Developments & applications (ICIDeA), ieee international conference on-

作者： Pratham Sharma Seema Prashant Singh Rana Mukesh Singh Amit Kumar Ashima Anand Department of Computer Science Thapar Inst. of Engg. And Technology Patiala Punjab India Department of E & I Engg. Thapar Inst. of Engg. And Technology Patiala Punjab India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

The Computerization of vehicles rapidly accelerated, and as vehicle networks link to external networks, automotive security becomes a critical issue. The Controller Area Network (CAN) bus is the most widely used internal control network in automobiles, facing growing vulnerabilities. With the development of networked and self-driving technology, the sealing nature of automotive internal control networks is eroding, leaving the security standards inadequate by modern benchmarks. This paper aims to provide a brief overview of the defence strategies against CAN Bus infiltrations, identify current limitations to these existing strategies, and discuss the challenges of enhancing the security in automotive embedded systems.

关键词： Robust control Scalability Stability criteria real-time systems Security Controller area networks Automobiles Protection Standards Automotive engineering

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Fog Node Selection and Task Scheduling in Fog computing Environment: A Review

Fog Node Selection and Task Scheduling in Fog Computing Envi...

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ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： Bhupendra Panchal Preeti Saxena School of Computer Science and IT Devi Ahilya University Indore M.P. India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

Fog computing is an emerging field of cloud computing, resides between cloud and Internet of Things (IoT) devices. IoT consists of sensors, cameras, actuators, and other smart devices. IoT devices generate latency-sensitive tasks in real-time environment and forward them at fog layer. Fog layer analyses the incoming tasks, schedule them, and allocate resources for their processing. In delayed-sensitive applications, task scheduling and their allocation are much complex as they require quick responses, and real-time decisions. Additionally, frequent node failures are common due to diverse characteristics of fog computing. It becomes more crucial and essential to identify reliable fog nodes at fog layer for further computations. This study presents a systematic review of existing fog node selection methods with consideration of different selection parameters. Furthermore, the study reviews existing scheduling and allocation methods under heuristic, meta-heuristic, optimization, and machine learning approaches. The study reviews existing techniques with consideration of delay, energy usage, costs, network usage, and reliability. As per the comparative analysis, the study identified reliability as most significant issues in the existing approaches. Finally, the study provides future research suggestions to improve the reliability in fog environment for improving QoS.

关键词： Cloud computing Processor scheduling Computer network reliability real-time systems Internet of Things Reliability Resource management Smart devices Edge computing Systematic literature review

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Performance Evaluation of 5G Core Network Control-Plane Using Open5GS and Kubernetes 17

Performance Evaluation of 5G Core Network Control-Plane Usin...

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17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Sooraj Subramanian, M.S. Kanagarathinam, Madhan Raj Sivalingam, Krishna M. Indian Institute of Technology Madras Department of Computer Science and Engineering Chennai India Samsung R&D Institute India Connectivity R&D Department Bangalore India

ISBN: (纸本)9798331531195

The 5G network's control-plane, a critical component of modern telecommunications infrastructure, manages the signaling and control functions that enable seamless connectivity and service delivery. This paper presents a comprehensive and in-depth performance evaluation of a 5G core network's control-plane deployed using Open5GS and Kubernetes. The study systematically examines critical performance metrics, including latency, throughput, and resource utilization, across various load conditions, providing a nuanced understanding of the network's behavior under stress. Using empirical data from a large-scale testbed simulating more than 50, 000 User Equipment (UE), this paper offers detailed insights into the performance characteristics, scalability, and resource efficiency of the 5G core *** addition to performance analysis, this work generates real-time packet traces from the large-scale experiment, which will be publicly available. These traces serve as a valuable resource for the broader research community, enabling further exploration and validation of the behaviors and performance of the 5G network. The findings of this study are particularly valuable for network operators, infrastructure providers, and researchers, as they offer critical guidance on optimizing 5G deployments. The results inform decisions about a sizing a Kubernetes cluster for 5G Core workload and which network functions (NFs) should be prioritized for scaling to meet the demands of next-generation mobile applications. © 2025 ieee.

关键词： 5G mobile communication systems

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Nonplanar Wireless Differential Microsensor for Integration on Intravenous Catheters for Therapeutic Drug Monitoring and Other applications

Nonplanar Wireless Differential Microsensor for Integration ...

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ieee international conference on Micro Electro Mechanical systems

作者： Jiaxin Jiang Vidya Chidambaran Tao Li Department of Electrical and Computer Engineering University of Cincinnati USA Department of Anesthesia Cincinnati Children’s Hospital Medical Center USA

ISBN: (数字)9798331508890

ISBN: (纸本)9798331508906

This paper reports a nonplanar passive wireless differential microsensor integrated with intravenous (IV) catheters of small diameters to facilitate in situ real-time monitoring of concentrations of drugs or other target molecules/biomarkers in the bloodstream. The sensor is based on magnetoelastic (ME) transduction with passive wireless interrogation to detect target molecules as mass loading using a functionalized coating. It uses a differential configuration to distinguish the mass loading effect from variations caused by changes in surrounding fluid medium. The sensor was curved to match the catheter form factor with maximized active sensor surface area, packaged in housing with embedded microfluidic features for sample filtration/pretreatment, and integrated on an 18-gauge catheter with 1.3 mm outer diameter for demonstration. Preliminary experimental results validated functions of curved ME sensors with degraded performance due to curving fully restored by an optimized annealing process, demonstrating 5.3 Hz/ng mass sensitivity and proper differential operation with the medium effect eliminated.

关键词： Wireless communication Drugs Wireless sensor networks Sensitivity Loading real-time systems Microsensors Catheters Microfluidics Monitoring

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Generalized Innovative Approach to Detect Pest Signal based on Frequency using STM32

Generalized Innovative Approach to Detect Pest Signal based ...

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Electronics and Renewable systems (ICEARS), international conference on

作者： Betty Martin Sugumaran G S Subhadra M Marshiana D Electronics and Communication Engineering SASTRA Deemed University Thanjavur India Symbiosis Institute of Technology Pune Campus Symbiosis International (Deemed University) Pune

ISBN: (数字)9798331509675

ISBN: (纸本)9798331509682

Modern society requires innovative and creative advancements to arrive at practical solutions for real-time problems using microcontrollers. Hence, it is the responsibility of every researcher as well as an analyst to understand the basic working, processing flow, and programming of embedded systems. This paper aims to present a strategy for detecting the frequency of real-time signals followed by the manipulation of glowing patterns of various coloured LEDs (Light Emitting Diode) using a simple STM32 microcontroller. The detection of frequency of input signal is carried out using the timer module present in the STM32 microcontroller. timer module is used to generate a ramp signal or triangular waveform of a desired frequency. The microcontroller uses embedded C programming (code loaded on the microcontroller) to identify the signal frequency and thereby controls the glowing pattern of coloured LEDs based on the detection of signal frequency. This includes designing, tuning, configuring the timer modules present in STM32 for generating signals of desired frequency and incorporating necessary conditions to control and manipulate the glowing pattern of LEDs according to the detected signal frequency. Moreover, experimental results also prove the efficiency and accuracy in detecting target frequency and in glowing the coloured LEDs with perfect synchronisation which shows the effectiveness of this approach. This paper aims to highlight the practical applications of microcontroller-based techniques and strategies for frequency detection and to provide solutions to the real time problems associated with embedded systems. This paper showcases a cost-effective method using STM32 microcontroller on chip timer module to solving the problem mentioned above.

关键词： time-frequency analysis Renewable energy sources embedded systems Microcontrollers Programming Light emitting diodes real-time systems Software Synchronization Tuning

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Advancements in AI-Driven Cephalometric Analysis for Orthodontic applications: A Review on Automated Landmark Detection and Angle Assessment 4

Advancements in AI-Driven Cephalometric Analysis for Orthodo...

引用

4th international conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Gurbade, Viraj Vijay Pacharaaney, Utkarsha Puri, Chetan Department of Artificial Intelligence and Data Science Maharashtra Wardha442001 India Department of Computer Science and Design Maharashtra Wardha442001 India

ISBN: (纸本)9798331523923

This is an essential tool used in the orthodontic practice for the assessment of craniofacial structures and as a basis in initiating treatment planning. Within the pre-AI/deep learning era, it was achieved through the procedure of manual tracing on 2D radiographs, individual variability, and quite time-consuming to obtain the established norm but which was susceptible. These technologies apply CNNs to properly detect landmarks and reduce the occurrence of human mistake, ensuring reproducibility of measurements across analyses. Automated systems demonstrated promising performance for landmark detection both on 2D and 3D images, particularly within the history of 3D imaging techniques such as cone-beam computed tomography (CBCT), offering a sweeping view of craniofacial anatomy. Studies show that training these AI models based on large datasets enables generalization to many images, thereby allowing landmark placement in reliable ways, with improved diagnostic accuracy;however, there's a challenge in achieving model robustness across different populations and complex 3D data. Future directions include the integration of AI with augmented reality, enabling real-time diagnostics to further depict and adjust clinicians' abilities to visualize treatment plans. With advancements in AI in cephalometry, the model may be hybrid to combine AI automation with manual verification, thus optimising reliability for clinical use, paving the way for more personalized and accurate orthodontic care. © 2025 ieee.

关键词： Computerized tomography

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IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC systems 25th

IoT-Based Analysis of Environmental and Motion Data for Comf...

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25th international conference on Internet computing and IoT, ICOMP 2024, and 22nd international conference on embedded systems, Cyber-physical systems, and applications, ESCS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied computing, CSCE 2024

作者： Abdulwaheed, Badmus McGarry, Ken Eliot, Neil Baglee, David School of Computer Science Faculty of Technology University of Sunderland Sunderland United Kingdom School of Engineering Faculty of Technology University of Sunderland Sunderland United Kingdom

ISBN: (纸本)9783031859229

Growing energy consumption from campus infrastructure including lecture halls that run heating, ventilation and air conditioning (HVAC) systems motivates data-driven optimization. This research demonstrates an integrated application of Internet of Things (IoT) sensors and cloud-hosted predictive data analytics to enable smart lecture room policies improving efficiency and sustainability. A Raspberry Pi Pico W IoT device was interfaced with BME680 sensor for temperature, humidity and air quality data. The device also incorporated a PIR sensor for occupancy detection and Wi-Fi connectivity to transmit multivariate time series data. The prototype was installed in a university lecture room for real-time data capture. Data was directed to a cloud analytics pipeline including MySQL storage and Node-RED for pre-processing. time series forecasting was conducted by training autoregressive integrated moving average (ARIMA), Prophet and machine learning models on historical data to predict temperature, occupancy levels, and usage patterns 24 h into the future. An interactive dashboard visualized both real-time streams and model forecasts using Grafana for analytical insights. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Predictive analytics

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“Cropmaster” - real-time Coordination of Multirobot systems for Autonomous Crop Harvesting: Design and Implementation

“Cropmaster” - Real-Time Coordination of Multirobot System...

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Power Electronics, Computer applications (ICPECA), ieee international conference on

作者： Isuranga Pramod Avishka Mallawa Arachchi Chemuthu Rashen Gayan Chinthaka Dinithi Pandithage Narmada Gamage Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

ISBN: (数字)9798331533694

ISBN: (纸本)9798331533700

The CropMaster is an autonomous rover system designed to enhance Scotch Bonnet production by improving disease management, crop sorting, autonomous navigation, and real-time environmental monitoring. Equipped with sensors to measure sunlight, humidity, pH, NPK content, and soil moisture, the rover securely transmits analyzed data to a web-based dashboard. LIDAR technology enables efficient autonomous navigation, allowing the rover to move around fields and avoid obstacles. The MQTT protocol facilitates communication between multiple rovers, preventing duplicate measurements and ensuring data is sent to the dashboard for comprehensive data collection across large areas. TensorFlow's machine learning models allow the rover to accurately assess crop health and detect early-stage diseases, followed by automated pesticide and fertilizer application through a spraying system. To maintain reliability, the rover's operations, including data transfer and task execution, are continuously monitored for Quality of Service (QoS). All collected data is stored in the cloud for long-term access. Built with a lightweight aluminum and plastic chassis and robotic arms, the rover is designed for adaptability and operational efficiency, aiming to improve crop management and increase yields across extensive agricultural fields.

关键词： Protocols Soil measurements Robot kinematics Crops Quality of service real-time systems Autonomous robots Farming Diseases Sorting

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Fall Detection System for Elderly People using Piezoresistive Textile Pressure Sensor

Fall Detection System for Elderly People using Piezoresistiv...

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ieee Students' conference on Electrical, Electronics and Computer Science (SCEECS)

作者： Rishabh Vyas J. Abanah Shirley R. Jansi Department of Electronics and Communication Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

Fall detection systems are critical for ensuring the safety and well-being of the elderly and others with mobility challenges. This paper presents the design and development of a fall detection system employing a textile pressure sensor constructed using piezoresistive Velostat material, sandwiched between two layers of conductive fabric. The developed pressure sensor is embedded into wearable socks, offering a flexible and unobtrusive solution for continuous monitoring. The piezoresistive nature of the sensor allows it to detect pressure changes when a fall occurs, capturing real-time data. The system processes this data to distinguish between normal activities and fall events based on predefined thresholds. The fall detection system also features wireless communication for real-time alerts, ensuring immediate assistance can be provided when a fall is detected. This approach provides an efficient and non-intrusive method for enhancing safety, with potential applications in home care and healthcare monitoring for at-risk individuals.

关键词： Pressure sensors Accelerometers Wireless communication Medical services real-time systems Safety Fall detection Biomedical monitoring Piezoresistance Monitoring

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