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

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Review of Non-invasive, Wearable Biomedical sensor and Imaging IC

Review of Non-invasive, Wearable Biomedical Sensor and Imagi...

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2024 Biomedical Circuits and systems conference

作者： Jang, Jaeeun Yoo, Hoi-Jun Kwangwoon Univ Sch Semicond Syst Engn Seoul South Korea Korea Adv Inst Sci & Technol Dept Elect Engn Daejeon South Korea

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.

关键词： Biomedical Diagnosis Electrical Impedance Tomography EIT Electrode Sensitivity Non-invasive Optical sensor Tissue Imaging Wearable

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Characterization of Microwave Proximity Effects between SiC-Based Inductors and advanced Packaging 16

Characterization of Microwave Proximity Effects between SiC-...

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16th International conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Tao, Yuan Ruan, Wenzhou CETC Inst 14 Nanjing Peoples R China

ISBN: (纸本)9798350389968

The microwave proximity effects between typical SiC-based inductors and advanced packaging has been systematically explored. The influence factors of a wide variety of advanced packaging approaches are summarized into three categories. By simulating the characteristics of the typical SiC-based spiral inductor and ribbon inductor under different package influence factors, valuable design rules are obtained, and the mechanism of the microwave proximity effects is clearly presented. This can be further used to guide RF system architecture innovation.

关键词： SiC-based inductors iii-V MMICs advanced packaging miniaturized RF systems fan-out flip-chip embedded chip microwave proximity effects

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2nd International conference on advanced Nanomaterials and applications, ICANA 2024

2nd International Conference on Advanced Nanomaterials and A...

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2nd International conference on advanced Nanomaterials and applications, ICANA 2024

ISBN: (纸本)9789819608270

The proceedings contain 10 papers. The special focus in this conference is on advanced Nanomaterials and applications. The topics include: GO/ZnO—Intensified Hybrid Nanomaterial as an Electrochemical sensor for Formaldehyde Detection in Environmental applications;synthesis of 4-Substituted 2,2′;6′,2″-Terpyridine Copper Complexes and Study of Their Anti-cancer Activities;synthesis of Cobalt Complexes and Study of Their Catalytic Activities in Various Organic Transformations;Recent Developments in Doped TMO and TMO-Based Composites for Energy Harvesting and Pollutant Removal systems;recent Progress in Multiferroics and Its Composites;dilute Magnetic Semiconductors and Its applications—An Overview;study of Melting Phenomenon of a Palladium Nanocluster Using Molecular Dynamics Simulations.

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Narrow Space Warning and Slope Control System compatible with ADAS 31

Narrow Space Warning and Slope Control System compatible wit...

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31st IEEE conference on Signal Processing and Communications applications (SIU)

作者： Toy, Ibrahim Yusefi, Abdullah Durdu, Akif Konya Tech Univ Res & Dev Dept Elect & Elect Engn MPG Machinery Prod Grp Inc CoRAC LAB Konya Turkiye

ISBN: (纸本)9798350343557

The number of studies on autonomous vehicle systems is increasing day by day. Autonomous vehicles can perform various tasks without human intervention. However, in the environment where these tasks are performed, there are locations that can pose a danger in terms of width and height. These locations are generally referred to as narrow spaces. The autonomous vehicle must detect these narrow spaces from the front with the sensors on the vehicle to minimize the accident rate. In this study, a narrow space detection algorithm is created by including width detection, height detection, positive and negative obstacle detection in autonomous vehicle algorithms. LiDAR sensor data is utilized in the conducted studies, utilizing a 16-layered, 100-meter range product manufactured by Velodyne. When the width and height measurements obtained from the sensor data did not match the vehicle dimensions, the user is informed. This notification is conveyed to the user as a visual warning message on an interface. In addition, the incline of the hills that the vehicle cannot climb (positive obstacle) and the cliffs that it cannot descend (negative obstacle) were determined by measuring the slope. According to the results of the study, the average error rate is calculated as 2.7% for width measurements, 1.84% for height measurements, and 2.22% for slope measurements for positive and negative obstacle detection. The outputs of this study can also be included in advanced driver assistance systems (ADAS).

关键词： advanced Driver Assistance systems Narrow space detection algorithm Autonomous vehicle LiDAR Negative obstacle Positive obstacle

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An improved efficiency of all-PMOS charge pump circuit 31

An improved efficiency of all-PMOS charge pump circuit

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31st conference on Electronics Circuits and systems

作者： Coustans, Mathieu FHNW Inst Sensor & Elect Windisch Switzerland

ISBN: (纸本)9798350377217;9798350377200

This paper presents an all-PMOS charge-pump cell that enhances efficiency using advanced bulk-bias techniques. Traditional designs struggle with switching losses and threshold voltage effects, especially under low voltage or high-frequency conditions. Our design mitigates these issues by optimizing charge transfer through improved bulk management. The proposed architecture shows significant efficiency gains, validated through theoretical analysis and experimental results, making it a robust solution for efficient DC-DC conversion applications.

关键词： Charge-pump bulk-biasing DC-DC conversion switching losses power management low-power design

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IoT-based automatic road accident detection systems: A review 4

IoT-based automatic road accident detection systems: A revie...

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4th International conference on Soft Computing for Security applications, ICSCSA 2024

作者： Prabu, C.R. Namitha, Kalakunnath Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798331515720

With the increasing number of vehicles on roads, the occurrence of road accidents has become a major concern globally. Automatic road accident detection systems based on Internet of Things (IoT) technologies have emerged as a promising solution to improve emergency response times and reduce the severity of accidents. The review encompasses various aspects including the underlying technologies, sensor networks, data processing algorithms, communication protocols, and system architectures used in these systems. Furthermore, the paper discusses the challenges and limitations of current approaches such as sensor accuracy, system scalability, and real-Time data processing. It also identifies future research directions including the integration of advanced sensor technologies, machine learning algorithms for accident prediction, and the development of standardized communication protocols for interoperability among different systems. To improve road safety, researchers and practitioners can use the ideas to help build IoT-based autonomous road accident detection systems that are more effective and efficient. © 2024 IEEE.

关键词： Interoperability

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Multimodal Wearable Sensing systems based on Higher-Order Parity-Time Symmetry 25

Multimodal Wearable Sensing Systems based on Higher-Order Pa...

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24th International conference on Electromagnetics in advanced applications (ICEAA) / 12th IEEE-APS Topical conference on Antennas and Propagation in Wireless Communications (IEEE APWC)

作者： Ye, Zhilu Yang, Minye Farhat, Mohamed Chen, Pai-Yen Univ Illinois Chicago IL 60607 USA King Abdullah Univ Sci & Technol KAUST Thuwal 239556900 Saudi Arabia

ISBN: (纸本)9798350320589

Parity-time (PT) symmetry, a salient landmark in the realm of non-Hermitian physics, reveals that non-conservative Hamiltonians upholding both parity (P) and time-reversal (T) operators may present entirely real eigenspectra [1]-[3]. The advent of PT symmetry has facilitated a plethora of applications, ranging from wireless sensor telemetry and power transmission to dynamic wave manipulation and cloaking [1], [2]. In particular, PT-symmetric systems have exhibited formidable efficacy in ultra-sensitive wireless sensing [3]. It has been observed that the eigen frequencies of such a system bifurcate at an exceptional point (EP), where they demonstrate remarkable sensitivity to minuscule perturbations. This phenomenon culminates in superlative sensitivity, considerably outstripping that of traditional LC resonator-based sensors. Nonetheless, despite these appreciable benefits, current PT-symmetric systems are limited to the detection of singular resistive or capacitive parameters. These systems fall short in identifying and discerning each parameter when resistive and capacitive variations coexist. This constraint curtails the applicability of PT -symmetric systems in certain real-world scenarios. For instance, in wearable biomedical monitoring situations, multiple biomarkers may vary simultaneously, thereby necessitating more multiplexed detection systems. © 2023 IEEE.

关键词： Electric power transmission

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Design, Fabrication, and Characterisation of a Novel Piezoimpedal Tactile sensor for use in Soft-Prosthetic Devices

Design, Fabrication, and Characterisation of a Novel Piezoim...

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IEEE/ASME International conference on advanced Intelligent Mechatronics (AIM)

作者： Searle, Thomas Sencadas, Vitor Alici, Gursel Univ Wollongong ARC Ctr Excellence Elect Sci Sch Mech Mat Mech & Biomed Engn Appl Mech & Biomed Engn Res AMBER Grp Wollongong NSW 2522 Australia Univ Aveiro CICECO Aveiro Inst Mat Mat & Ceram Engn Dept P-3810193 Aveiro Portugal

ISBN: (纸本)9781665476331

Enabling the robotic ability to sense tactile interactions is a complex and interdisciplinary challenge, as traditional pressure sensors made of hard and rigid materials struggle to replicate the soft and compliant interactions of mammalian somatosensory networks. This study investigates a novel matrixed contact sensor designed for use in soft robotics and biomedical prosthesis applications. The sensor is a coupled piezocapacitive-piezoresistive tactile sensor, optimized for scalability over various mechanical stimuli, including touch, pressure, bend, stretch, and proximity. By modifying the bulk geometry to include dielectric artifacts and integrating electroactive elastomeric composites, the soft and flexible sensor is fully mechanically compliant and conforms to skin behavior. The sensor has a maximum sensitivity of 0.028kPa(-1), a resolution of 1.3%, and a bandwidth of 29Hz. The study characterizes the sensor's performance and identifies its static and dynamic response to aid in developing complex, closed-loop tactile feedback control systems toward realizing the biomimetic implementation of synthetic skin in soft-prosthetic devices.

关键词： Adaptive control systems

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Machine Learning-Based sensor Synchronization for Enhanced Spatial Awareness in Assistive Technologies

Machine Learning-Based Sensor Synchronization for Enhanced S...

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2024 IEEE International conference on Intelligent systems and advanced applications, ICISAA 2024

作者： Patel, Iftekar Kulkarni, Makarand Mehendale, Ninad Somaiya Vidyavihar University K. J. Somaiya College of Engineering Mumbai400077 India

ISBN: (纸本)9798331539948

Enhancing spatial awareness for the visually impaired is crucial for autonomy and mobility. Our research addresses this by proposing a novel approach to sensor data synchronization for assistive technologies, re-framing the challenge as a forecasting task suitable for machine learning solutions. We developed a hard hat assembly equipped with 2D LiDAR, dual 1D LiDARs, and a depth camera to create comprehensive spatial awareness for navigation. By applying various machine learning algorithms to predict 2D LiDAR readings from higher frequency 1D LiDAR data, we aimed to overcome conventional synchronization limitations. Our investigation revealed that while linear models and some non-linear approaches were inadequate, the Generalized Auto-regressive Conditional Heteroskedasticity (GARCH) model showed promise in capturing short-term volatility. Our findings contribute to assistive technologies by introducing a machine learning paradigm for sensor synchronization, potentially improving spatial awareness systems' accuracy and reliability. This system has the potential to significantly enhance navigation for the visually impaired, fostering greater independence and safety. © 2024 IEEE.

关键词： Adversarial machine learning

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Electrohydrodynamic Printing of Conductive Microstrips on Hyperelastic Substrates for Fabrication of Flexible and Stretchable sensors 6

Electrohydrodynamic Printing of Conductive Microstrips on Hy...

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International conference on Flexible and Printable sensors and systems (FLEPS)

作者： Philippin, Nadine Kuehne, Ingo Schrag, Gabriele Heilbronn Univ Appl Sci Kuenzelsau BW Germany Tech Univ Munich Professorship Microsensors & Actuators Munich BY Germany

ISBN: (纸本)9798350383270;9798350383263

Recently, sensors are subjected to a vast transformation process from planar and rigid devices towards flexible or rather stretchable versions. This can be traced back to a continuous development of novel functional materials and the enhancement of various fabrication techniques. Thus, entirely new sensor designs and applications can be realized. In the present paper, electrohydrodynamic (EHD) printing as advanced non-contact printing technology is utilized for patterning of conductive microstrips serving as stretchable sensor elements. As printing medium particle-based silver inks with particle diameters in the range of 50nm and 1 mu m are used. In contrast to the most commonly applied substrate materials for flexible printed sensors, e.g. polydimethylsiloxane (PDMS), hyperelastic and shape-adjustable thermoplastic polyurethane (TPU) with a thickness of 100 mu m is applied within this work. In addition to straight conductive silver lines more complex geometries such as meanders with improved stress-strain characteristics are realized. With respect to the antagonistic material behavior of TPU and the silver inks as well as their processability, EHD printing represents a promising fabrication technique for future stretchable sensors.

关键词： electrohydrodynamic printing hyperelastic sensor material thermoplastic polyurethane

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