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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications XI"

共 6322 条记录，以下是461-470 订阅

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On-Chip EM sensor Arrays for Reliability Monitoring of Integrated Circuits

On-Chip EM Sensor Arrays for Reliability Monitoring of Integ...

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2023 IEEE National Aerospace and Electronics conference, NAECON 2023

作者： Vutukuru, Manoj Yasaswi Muha, Andrew Jha, Rashmi University of Cincinnati Department of Ece Cincinnati United States

ISBN: (纸本)9798350338782

In this manuscript, we present a novel approach of utilizing the unintentional electromagnetic waves (EM) emanated from an Integrated Circuit (IC) to estimate its reliability. We focus on estimating characteristics like circuit aging and electromigration which can have a significant impact on the overall performance and reliability of ICs. Since aging and electromigration are unpredictable in nature because of the changes in working conditions, manufacturing process variation and malicious tampering, having an on-chip EM sensor to continuously monitor the circuit activity to estimate these factors is essential in mission critical applications. To this end, we discuss the design process of an on-chip EM sensor which consists of an array of antennas embedded on top of an unpackaged die. We demonstrate a method to visualize aging by measuring the EM waves and present the simulation results of the antennas used in the design of the proposed EM sensor for aging and electromigration detection in ICs. © 2023 IEEE.

关键词： Loop antennas

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Development of a Fully-Printed Flexible Polystyrene-Based Temperature sensor with Anti-Humid Property 5

Development of a Fully-Printed Flexible Polystyrene-Based Te...

引用

5th IEEE International conference on Flexible and Printable sensors and systems, FLEPS 2023

作者： Shboul, Ahmad Al Gohel, Ankur Ketabi, Mohsen Izquierdo, Ricardo Department of Electrical Engineering 1100 Notre-Dame St W MontrealQCH3C 1K3 Canada

ISBN: (纸本)9781665457330

We present a simple temperature sensing method based on a polystyrene (PS) and graphite (Gt) flakes nanocomposite. The conductive bridge formed by the Gt flakes, in conjunction with the elasticity of the PS with temperature, enables temperature sensing over a wide temperature range. The nanocomposite's hydrophobic nature ensures remarkable stability and resistance to changes in environmental humidity. Our experiments demonstrate that PS-based sensor stability is exceptional across a wide range of environmental humidity, from 10% to 80% RH, with high sensitivity (+0.37% °C-1) for temperature sensing between 20°C and 80°C, fast response time in seconds, and high detection resolution to 3°C change. These promising results indicate that the fully printed, flexible temperature sensor is a promising candidate for applications requiring flexible and accurate temperature sensing capabilities. © 2023 IEEE.

关键词： Polystyrenes

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ECG Monitoring System using IoT for Health Care applications 2

ECG Monitoring System using IoT for Health Care Applications

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2nd International conference on Augmented Intelligence and Sustainable systems, ICAISS 2023

作者： Vijaipriya, K. Priya, C. Sivanandan, Siji Krishnaswamy, R. Sri Sai Ranganathan Engineering College Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Department of Electronics and Communication Engineering Andhra Pradesh Puttur India Meenakshi Sundararajan Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India University College of Engineering Department of Electronics and Communication Tamil Nadu Ariyalur India

ISBN: (纸本)9798350325799

The ECG monitoring system is an innovative method of heart health monitoring that makes use of the Internet of Things for healthcare purposes. With the use of Raspberry Pi, an electrocardiogram (ECG) sensor, and a cloud server, this system can monitor a patient's heart rate in real time and indefinitely, which has several benefits for both the patient and the doctor. Using the IoT, the ECG sensor can communicate to the cloud storage directly. The patient's electrical heart activity is monitored by use of an ECG sensor. After that, the sensor's output data is sent to the cloud server through Raspberry Pi, which operates as a connection between the sensor and the cloud server. Analyzing and evaluating ECG data in real time through cloud servers using advanced methods. The approaches are sensitive and accurate sufficient to detect cardiac irregularities such arrhythmias. When anomalies are detected, the system immediately generates realtime alerts to healthcare professionals. Instant alerts allow for prompt medical treatment, which improves patient outcomes and decreases the potential of catastrophic events. The cloud server provides a store for patient data and will enable doctors to access it from anywhere. In healthcare settings, this system's ability to identify cardiac problems early improves patient care and promotes preventative approaches to controlling heart health. © 2023 IEEE.

关键词： Electrocardiograms

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A Reconstruction Method for the Surface Potential of the High Voltage Charged Body Based on Quasi-Static Electric Field Theory

A Reconstruction Method for the Surface Potential of the Hig...

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International conference on Electromagnetics in advanced applications (ICEAA)

作者： Bohao Zhang Shaoyin He Liang Song xiangyu Chen School of Electrical Engineering Xi’an Jiaotong University Xi’an Shaanxi China

ISBN: (数字)9798350360974

ISBN: (纸本)9798350360981

In recent years, the large-scale AC and DC extra-high voltage transmission projects have been put into practical operation. Moreover, along with the breakthroughs and innovations in communication and artificial intelligence technologies, power systems are being promoted in the more innovative and intelligent development direction, which puts forward higher requirements for the monitoring and evaluation of the important status of various types of key high-voltage power equipment in the power systems.

关键词： Technological innovation Surface reconstruction Electric potential High-voltage techniques Voltage Reconstruction algorithms Power systems Electromagnetics Electric fields Monitoring

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Speed measurement of solar fed PMDC motor using photovoltaic module and hall effect sensor 8

Speed measurement of solar fed PMDC motor using photovoltaic...

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8th International conference on advanced Computing and Communication systems, ICACCS 2022

作者： Sanskriti Choudhary, Sheetal Shivani Yadav, Prem Prakash Electrical Engineering Delhi Technological University New Delhi India

ISBN: (纸本)9781665408165

This paper talks about the use of dc dc converter, namely boost converter in photovoltaic applications and further using the output voltage to run a PMDC motor and find its speed through a hall sensor. The paper starts with the importance of solar energy and then discusses the current energy crisis where we find that in India, the maximum amount of energy is produced through coal which has various disadvantages and is available in limited amounts. Therefore, there is a need to switch to renewable resources. Out of the renewable resources, solar energy is of prime concern. Solar energy can be primarily harnessed through PV arrays and to make it more efficient we incorporate a boost converter in it. This helps in tracking the optimal or the maximum power for the PV array, improves efficiency and allows constant stepped up voltage supply at different loads at the output. © 2022 IEEE.

关键词： Simulink

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Structural health monitoring of belt conveyor based on distributed optical fiber acoustic sensor 12

Structural health monitoring of belt conveyor based on distr...

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conference on advanced sensor systems and applications xiI

作者： Liu, Qing Pan, Zhen Li, Zhaojie Yan, Binyang Liu, Kang Ai, Bojun xie, Lang Guizhou Power Grid Co Ltd Power Dispatching Control Ctr Guiyang Peoples R China Univ Elect Sci & Technol China Sch Commun & Informat Engn Key Lab Opt Fiber Sensing & Commun Educ Minist Chengdu 611731 Sichuan Peoples R China

ISBN: (纸本)9781510657090;9781510657083

Distributed optical fiber acoustic sensing (DAS) can serve as an excellent tool for real-time condition monitoring of a variety of industrial and civil infrastructures. This paper presents a belt conveyor roller fault abnormal monitoring method based on DAS, for the low accuracy and efficiency of the existing belt conveyor rollers fault detection. This method uses the Rayleigh Backscatter of coherent pulsed light to detect and reconstruct the fault signal, and proposes a method based on the combination of power spectrum features and peak detection to recognize and locate abnormal signals under intense background noise. The field test verifies the effectiveness of the real-time monitoring scheme of the industrial conveyor belt system, with a detection accuracy rate of over 87% for simulated fault signals, and a location accuracy of +/- 2.5 m. It provides a new passive distributed monitoring method for the all-weather structural health monitoring of the rollers in the industrial belt conveyor systems.

关键词： distributed fiber optical sensors acoustic sensing f-OTDR belt conveyor health monitoring

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2023 International Telecommunications conference, ITC-Egypt 2023

2023 International Telecommunications Conference, ITC-Egypt ...

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2023 International Telecommunications conference, ITC-Egypt 2023

ISBN: (纸本)9798350326062

The proceedings contain 137 papers. The topics discussed include: a compact petal shaped two-port MIMO antenna for quad-band millimeter wave 5G applications;human footsteps-based energy harvesting using piezoelectric elements;a sequence of circular slotted nonagon shape extended ultrawideband antenna for smart electronic systems using characteristic mode analysis;detecting dependent malicious nodes in multi-state target detection wireless sensor networks;gain enhancement of a miniaturized broadband patch antenna using a metamaterial superstrate for surveillance applications in aircraft;recent advances towards securing smart grids with blockchain;evaluating potential security risks of advanced metering infrastructure using EBIOS risk assessment method;an optimized radar sensors schedule using genetic algorithms;characteristics mode analysis based dual-port sub-6 GHz flexible antenna for surveillance applications;a thermostable frequency selective surface with both a low-pass and a wide shielding band;green computing and security practices for optimizing crawler efficiency;and compact triple-band millimeter wave flexible antenna for wearable applications.

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ICACNIS 2022 - 2022 International conference on advanced Creative Networks and Intelligent systems: Blockchain Technology, Intelligent systems, and the applications for Human Life, Proceeding

ICACNIS 2022 - 2022 International Conference on Advanced Cre...

引用

2022 International conference on advanced Creative Networks and Intelligent systems, ICACNIS 2022

ISBN: (纸本)9798350334449

The proceedings contain 29 papers. The topics discussed include: a review on blockchain applications in fintech ecosystem;implementation of backward key chain and hill cipher for securing messages in the wireless sensor networks;security system for digital land certificate based on blockchain and QR code validation in Indonesia;legal challenges facing blockchain-based peer-to-peer energy trading;applications of data analytics and machine learning for digital twin-based precision biodiversity: a review;collaborative filtering recommender system based on memory based in twitter using decision tree learning classification (case study: movie on Netflix);book recommender system using convolutional neural network;autoencoder image denoising to increase optical character recognition performance in text conversion;and data-driven shoreline change forecasting on Eretan beach using random forest.

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Enhancing Battery Management systems with Machine Learning and 5G Connectivity beyond Maritime Transport Software Architectures 15

Enhancing Battery Management Systems with Machine Learning a...

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15th International conference on Communications, COMM 2024

作者： Paraschiv, Constantin-Laurentiu Tufeanu, Larisa Mihaela Vochin, Marius-Constantin POLITEHNICA Bucharest Faculty of Electronics Department of Telecommunications Bucharest Romania

ISBN: (纸本)9798350355956

The growing advancement in battery technology has revolutionized various domains and services, notably transportation and energy storage. This research focuses on improving battery management systems (BMS) for electric vehicles (EV) and hybrid vehicles (HEV) by leveraging advanced machine learning models and 5G connectivity. This study proposes an integrated software architecture designed for both industrial and road applications, aiming to optimize battery performance and safety by analyzing collected data and predicting the anomaly events by training Random Forest and Gradient Boosting machine learning (ML) models. Throughout the research, key battery performance parameters and their normal operating ranges, such as voltage, current, temperature, charge/discharge rates, internal Resistance and State of Charge (SoC) are analyzed, according to the official regulations and utilized in Python scripting. The Python script implemented simulates battery operations by updating sensor values and logging incidents with factors such as latency, jitter, and encryption time. The script trains and compares machine learning models to determine the most accurate one for anomaly detection. The final part of the script simulates battery performance under different connectivity modes (5G Non-Standalone (NSA) and 5G Standalone (SA)) to assess the impact on data transmission and real-time monitoring. Ultimately, obtained results demonstrate not only advanced, sustainable, mobility solutions by improving the safety and performance of Battery Management systems in electric and hybrid vehicles, but also the importance of leveraging cutting-edge technologies (such as ML) and connectivity (5G). © 2024 IEEE.

关键词： Hybrid vehicles

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Electron Beam Probing: The New Sheriff in Town for Security Analyzing of Sub-7nm ICs - Exploring the Advantages of a Post-Photon Emission Technique 49

Electron Beam Probing: The New Sheriff in Town for Security ...

引用

49th International Symposium for Testing and Failure Analysis conference, ISTFA 2023

作者： Varshney, Nitin xi, Chengjie Khan, Aslam A. Biswas, Liton Kumar Sorger, Volker Dalir, Hamed Asadizanjani, Navid Department of Electrical & Computer Engineering University of Florida GainesvilleFL32611 United States

ISBN: (纸本)9781627084741

The increasing demand for semiconductor chips and the outsourcing of chip fabrication have heightened vulnerability to hardware security threats. While optical probing has been used extensively for semi-invasive/non-invasive attacks, its resolution limits and obsolescence in advanced technologies have necessitated exploring other techniques. Electron-beam probing (EBP) has emerged as a powerful method, offering 20x better spatial resolution than optical probing, and applies to sub-7nm flip-chips and advanced 3D architecture systems. However, the increased resolution of EBP also poses a threat to sensitive information on these advanced chips, calling for developing countermeasures to secure assets. By understanding the capability of EBP, the potential of using EBP to extract sensitive data such as encryption keys, soft IP, neural network parameters, and proprietary algorithms will be discussed. This paper delves into the principles behind EBP, its capabilities, challenges for this technique, and potential applications in failure analysis and potential attacks. It highlights the need for developing effective countermeasures to protect sensitive information on advanced node technologies. Copyright © 2023 ASM International® All rights reserved.

关键词： Obsolescence

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