With the rapid development of various fields,including aerospace,industrial measurement and control,and medical monitoring,the need to quantify flow velocity measurements is *** is difficult for traditional flow veloc...
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With the rapid development of various fields,including aerospace,industrial measurement and control,and medical monitoring,the need to quantify flow velocity measurements is *** is difficult for traditional flow velocity sensors to fulfill accuracy requirements for velocity measurements due to their small ranges,susceptibility to environmental impacts,and ***,to optimize sensor performance,a flexible microelectromechanical system(MEMS)thermal flow sensor is proposed that combines the working principles of thermal loss and thermal temperature difference and utilizes a flexible cavity substrate made of a low-thermal-conductivity polyimide/SiO_(2)(PI/SiO_(2))composite porous film to broaden the measurement range and improve the *** measurement results show that the maximum measurable flow velocity can reach 30 m/s with a resolution of 5.4mm/*** average sensitivities of the sensor are 59.49 mV/(m s−1)in the medium-to-low wind velocity range of 0–2 m/s and 467.31 mV/(m s^(−1))in the wind velocity range of 2–30 m/*** sensor proposed in this work can enable new applications of flexible flow sensors and wearable devices.
Technological innovation in biomedical science, driven by semiconductor circuit and system engineering, has enabled faster diagnosis, continuous health monitoring, and advanced treatment approaches. Recent advances in...
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ISBN:
(纸本)9798350354966;9798350354959
Technological innovation in biomedical science, driven by semiconductor circuit and system engineering, has enabled faster diagnosis, continuous health monitoring, and advanced treatment approaches. Recent advances in non-invasive, wearable biosensor interfaces and imaging have significantly improved performance and reduced costs, enhancing accessibility to medical technology. These sensors, benefiting from semiconductor technology, offer convenience, low infection risk, and cost-effective solutions for medical monitoring. This paper explores the principles, challenges, and advancements in non-invasive sensor technology, including electrodes, optical elements, and Electrical Impedance Tomography (EIT). The integration of semiconductor technology in these applications is paving the way for personalized medicine and point-of-care solutions, with promising potential to improve patient care and healthcare outcomes.
High-performance flexible pressure sensors are crucial for applications such as wearable electronics, interactive systems, and healthcare technologies. Among these, iontronic pressure sensors have garnered particular ...
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High-performance flexible pressure sensors are crucial for applications such as wearable electronics, interactive systems, and healthcare technologies. Among these, iontronic pressure sensors have garnered particular attention due to their superior sensitivity, enabled by the giant capacitance variation of the electric double layer (EDL) at the ionic-electronic interface under deformation. Key advancements, such as incorporating microstructures into ionic layers and employing diverse materials, have significantly improved sensor properties like sensitivity, accuracy, stability, and response time. This review highlights advancements in flexible EDL pressure sensors, focusing on structural designs and material engineering. These strategies are tailored to optimize key metrics such as sensitivity, detection limit, linearity, stability, response speed, hysteresis, transparency, wearability, selectivity, and multifunctionality. Key fabrication techniques, including micropatterning and externally assisted methods, are reviewed, along with strategies for sensor comparison and guidelines for selecting appropriate sensors. Emerging applications in healthcare, environmental and aerodynamic sensing, human-machine interaction, robotics, and machine learning-assisted intelligent sensing are explored. Finally, this review discusses the challenges and future directions for advancing EDL-based pressure sensors.
This article researches the asymptotic stabilization problem for spatial 2-D linear parabolic partial differential equation (PDE) systems with a mobile collocated actuator/sensor pair. First, the projection modificati...
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ISBN:
(纸本)9789819607976;9789819607983
This article researches the asymptotic stabilization problem for spatial 2-D linear parabolic partial differential equation (PDE) systems with a mobile collocated actuator/sensor pair. First, the projection modification algorithm is proposed to make sure that the mobile sensor/actuator pair can only move in the specified area. Then, an integrated design method of the static output feedback (SOF) control law and the mobile sensor/actuator guidance laws is developed for the spatial 2-D linear PDE systems. And lastly, numerical simulations can prove the effectiveness of the proposed method.
Triboelectric nanogenerators (TENGs) have emerged as transformative technologies in biosensing, offering unprecedented energy efficiency and precision in monitoring vital physiological signals. This review delves into...
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Triboelectric nanogenerators (TENGs) have emerged as transformative technologies in biosensing, offering unprecedented energy efficiency and precision in monitoring vital physiological signals. This review delves into the cutting-edge advancements in TENG sensors, highlighting their exceptional potential in bioengineering applications. Key operating mechanisms and advanced materials are explored, with a focus on their impact on sensor sensitivity, durability, and biocompatibility. Cardiovascular monitoring is presented as a pivotal application, where TENG sensors demonstrate exceptional capability in detecting subtle mechanical signals such as pulse waves and heartbeats in real time. Their self-powered nature eliminates the need for external energy sources, and their inherent scalability and adaptability make them ideal for integration into wearable or implantable devices. Benefits such as miniaturization, energy efficiency, and biocompatibility are discussed, alongside challenges like material fatigue and long-term stability in biomedical environments. Future directions include optimizing TENG materials for enhanced mechanical robustness and expanding their integration into advanced medical diagnostics. This review provides a comprehensive roadmap for leveraging TENG technologies to revolutionize continuous cardiovascular monitoring and broader medical applications.
Miniaturized six-axis force/torque sensors have potential applications in robotic tactile sensing,minimally invasive surgery,and other narrow operating spaces,where currently available commercial sensors cannot meet t...
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Miniaturized six-axis force/torque sensors have potential applications in robotic tactile sensing,minimally invasive surgery,and other narrow operating spaces,where currently available commercial sensors cannot meet the requirements because of their large *** this study,a silicon-based capacitive six-axis force/torque sensing chip with a small size of 9.3×9.3×0.98 mm was designed,fabricated,and tested.A sandwich decoupling structure with a symmetrical layered arrangement of S-shaped beams,comb capacitors,and parallel capacitors was employed.A decoupling theory considering eccentricity and nonlinear effects was derived to realize low axial *** proposed S-shaped beams achieved a large measurement range through stress *** results of a coupled multiphysics field finite-element simulation agreed well with those of theoretical *** test results show that the proposed sensing chip can detect six-axis force/torque separately,with all crosstalk errors less than 2.59%*** force and torque measurement ranges can reach as much as 2.5 N and 12.5 N·mm,*** sensing chip also has high sensitivities of 0.52 pF/N and 0.27 pF/(N·mm)for force and torque detection,respectively.
The ear harbors a wealth of critical physiological and pathological information, positioning it as an ideal site for healthcare monitoring. However, the intricate geometry and physiological sensitivity of the ear pose...
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The ear harbors a wealth of critical physiological and pathological information, positioning it as an ideal site for healthcare monitoring. However, the intricate geometry and physiological sensitivity of the ear pose formidable technical hurdles to effective healthcare monitoring. Soft electronics, renowned for their mechanical deformability, excellent skin conformability, and biocompatibility, offer compelling advantages, particularly within the emerging contexts of fifth-generation technology and the Internet of Things. These innovations provide essential technical support for achieving comprehensive healthcare monitoring via ear-area soft electronics. This review comprehensively outlines the recent advancements in ear-area soft electronics for advanced healthcare monitoring. The authors begin by elucidating the physiological properties of the external, middle, and inner ear from clinical perspectives. Subsequently, leveraging these anatomical insights, the state-of-the-art ear-area soft bioelectric, biophysical, biochemical, and multimodal electronics for healthcare monitoring are explored. Furthermore, insights are offered into the enduring challenges and prospective directions for ear-area soft electronics from systematic sensor design, data processing methodologies, and translational applications. As a whole, ear-area soft electronics will provide new paradigms shift in the evolution of wearable and implantable electronics, thereby fostering the rapid and high-quality development of healthcare monitoring systems.
The automation of vehicles is progressing through several automation levels, with the goal of reaching full autonomy, i.e. level 5, which involves no steering wheel, brakes, pedals, or windshield. This is achieved by ...
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ISBN:
(纸本)9798331516246;9798331516239
The automation of vehicles is progressing through several automation levels, with the goal of reaching full autonomy, i.e. level 5, which involves no steering wheel, brakes, pedals, or windshield. This is achieved by the vehicle taking on an increasing number of autonomous decision-making tasks under the guidance of smart control systems that are instilled with Artificial Intelligence (AI) and equipped with advancedsensor and actuator technologies. Major vehicle companies are competing to build the most talented driver, i.e. AI-agent. In this report, how the intelligence of Self-Driving Vehicles (SDVs) is being built by the automotive industry for the efficient deployment of handover wheels is analysed and applications of machine intelligence for SDVs are implemented through video capturing using Deep Learning (DL). The results show that i) the use of DL techniques as well as reinforcement learning (RL) - Deep RL approaches - can contribute to the intelligence of SDVs significantly and ii) SDVs, equipped with advanced mechatronics systems, can be fully autonomous with the level-5 automation as they are trained appropriately with proper datasets.
Nowadays, Cyber-Physical systems (CPS), particularly drones, play a pivotal role in environmental research. Scientists depend on these platforms to monitor various sensor data and ensure comprehensive data archiving. ...
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ISBN:
(纸本)9798350380279;9798350380262
Nowadays, Cyber-Physical systems (CPS), particularly drones, play a pivotal role in environmental research. Scientists depend on these platforms to monitor various sensor data and ensure comprehensive data archiving. However, despite their advantages, researchers encounter several challenges, including communication limitations and the complexity of setting up systems tailored to their needs. To address these issues, we propose MoDD, a model-driven data collection framework based on a customized publish/subscribe model. MoDD simplifies the development and configuration of data collection systems. It offers scientists a solution that meets their specific needs, allowing them to focus on high-level requirements while the framework manages the underlying complexities. We demonstrate the effectiveness of MoDD through practical evaluations on an actual Unmanned Surface Vehicle. Additionally, results show a 79% reduction in throughput (drone to base station link) compared to existing publish/subscribe systems.
The proceedings contain 35 papers. The topics discussed include: fiber-optic airflow sensor for air quantity estimation in air conduit;high sensitivity distributed static strain sensing based on all grating optical fi...
ISBN:
(纸本)9781510646513
The proceedings contain 35 papers. The topics discussed include: fiber-optic airflow sensor for air quantity estimation in air conduit;high sensitivity distributed static strain sensing based on all grating optical fiber in optical frequency domain reflectometry;highly sensitive temperature sensor with optomechanofluidic resonators;optical fiber probe for CARS spectroscopy;Simultaneous measurement of refractive index and temperature based on bent core-offset in-line fiber Mach-Zehnder interferometer;broad-range self-sweeping Ho-doped fiber laser for N2O spectroscopy tasks;semiconductor optical amplifier-fiber ring laser for FBG dynamic strain sensing with an adaptive two-wave mixing demodulator;and bandwidth evaluation of 11 cm-long polymer waveguides based on optical sampling technique.
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