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

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An improved efficiency of all-PMOS charge pump circuit 31

An improved efficiency of all-PMOS charge pump circuit

引用

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...

引用

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...

引用

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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advanced IoT-Based Wireless sensors for Remote Geotechnical Monitoring and Structural Diagnostics 18

Advanced IoT-Based Wireless Sensors for Remote Geotechnical ...

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18th IFAC conference on Programmable Devices and Embedded systems (PDES)

作者： Pies, Martin Velicka, Jan Hajovsky, Radovan VSB Tech Univ Ostrava Fac Elect Engn & Comp Sci Dept Cybernet & Biomed Engn 17 Listopadu 15 Ostrava Czech Republic

This paper presents an innovative design and implementation of a wireless sensor module using low-power Internet of Things (IoT) technologies for applications in geotechnical engineering and structural diagnostics, with a main focus on monitoring rock formations below the water surface in areas without access to electrical power. Designed for continuous monitoring of linear displacements and other critical parameters in structural engineering, geotechnical engineering and engineering diagnostics, this sensor module is particularly useful in remote locations. Utilizing wireless data transmission and advanced IoT technologies such as LoRa, IQRF and NB-IoT, this system allows for flexible coverage options and efficient remote management. The system allows users to remotely change measurement parameters, the period of messaging and set thresholds for alarm activation. The study highlights the importance of innovative IoT solutions to improve accuracy and efficiency in monitoring geotechnical and civil engineering structures, especially in challenging sub-surface environments, opening new opportunities for predictive maintenance and risk management in these specific applications. Copyright (c) 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： Multi sensor systems Networks of sensors and actuators Measurement and instrumentation IoT sensor Networks Geotechnical Monitoring Wireless Data Transmission Underwater Rock Formations Remote Energy-independent systems

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BLDC Motor Trapezoidal Regulation Using Hall Effect sensor

BLDC Motor Trapezoidal Regulation Using Hall Effect Sensor

引用

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

作者： Bhatiya, Hansa Patil, Dushyant Makune, Shriram Kadam, Swaraj Mahajan, Vishal Vaidya, Harshal Dr. D. Y. Patil Institute of Technology Department of Electrical Engineering Pimpri Pune India R. C. Patel College of Polytechnic Department of Electrical Engineering India Marathwada Mitramandal's IoT Lohgaon Department of Engineering Science Pune India

ISBN: (纸本)9798331539948

BLDC motors provide excellent performance, durability, and efficiency, making them ideal for a variety of applications. The motor was operated by means of the six-step commutation process of the trapezoidal control approach, which was applied to the exact rotor position data obtained via Hall effect sensors. This approach perfectly times the commutation sequence, reducing torque ripple and improving motor performance. The design, modeling, and experimental findings validated the effectiveness of the proposed control technique, suggesting that it can be used to maximize BLDC motor performance in commercial and industrial applications. © 2024 IEEE.

关键词： Hall effect transducers

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Multi-Modal AI for Enhanced Forest Fire Early Detection: Scalar and Image Fusion

Multi-Modal AI for Enhanced Forest Fire Early Detection: Sca...

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International conference on advanced systems and Emergent Technologies (ICASET)

作者： Azzabi, Tarek Jeridi, Mohamed Hechmi Mejri, Ikbel Ezzedine, Tahar Tunisian Naval Acad Lab LR DN02 19 Menzel Bourguiba 7050 Tunisia Tunisian Naval Acad Menzel Bourguiba 7050 Tunisia Natl Engn Sch Tunis ENIT SYSCOM LR ES21 99 Tunis Tunisia

ISBN: (纸本)9798350384901;9798350384895

Forest fires pose significant threats to both the environment and human safety, underscoring the critical importance of early detection methods. This article introduces a novel approach grounded in artificial intelligence to enhance the early detection of forest fires. The fusion of sensor technology and imagery holds substantial potential for augmenting prediction accuracy. sensors furnish crucial environmental data encompassing factors such as temperature, humidity, and wind speed, all pivotal in the ignition and propagation of forest fires. In contrast, imagery supplies visual evidence of fire or smoke presence, a particularly invaluable asset in densely forested regions where vegetation cover can obscure sensor-derived information. Employing machine learning algorithms proficient in the analysis and interpretation of this composite data, we achieve a heightened level of accuracy in forest fire detection and probability prediction. This methodology undergoes rigorous evaluation using historical forest fire datasets, demonstrating impressive effectiveness in detecting fires. The potential applications extend to the enhancement of early warning systems for forest fires, ultimately mitigating the loss of life and property attributable to these catastrophic events.

关键词： Forest Fires Scalar sensors Artificial intelligence Machine Learning Deep Learning rTPNN CNN Multi-sensor fusion Concentrations Smoke density

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advanced Autonomous Navigation Technologies for UAVs: Challenges and Opportunities 4

Advanced Autonomous Navigation Technologies for UAVs: Challe...

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4th International conference on Innovative Research in Applied Science, Engineering and Technology, IRASET 2024

作者： Senhaji-Mouhaddib, Issam Bouzakri, Samir Lagrat, Ismail Ibn Tofail University Ensa Lab Of Advanced Systems Engineering Kenitra Morocco

ISBN: (纸本)9798350309508

The utilization of Unmanned Aerial Vehicles (UAVs) has revolutionized numerous industries, with navigation being a crucial factor in ensuring their operational success. This literature review examines the subject of UAV navigation, discussing fundamental concepts, GPS-denied challenges, and cutting-edge technologies. The review commences with an explanation of the basic principles of UAV navigation, including the employment of IMUs, GPS, LiDAR, and Stereo Vision systems. A dedicated section then delves into the challenges posed by GPS-denied environments, emphasizing the importance of GPS in navigation and exploring alternative approaches. The subsequent sections investigate advanced navigation technologies, such as INS/IMU, Multi-sensor Fusion, and AI applications. These innovative research areas cover enhancements to sensors, the development of hybrid navigation systems, deep learning for sensor fusion, and other related topics. The conclusion emphasizes the transformative potential of emerging technologies, providing a roadmap for researchers and practitioners. The identified research directions aim to address current limitations and develop next-generation UAV navigation systems capable of precise navigation in complex and challenging environments. © 2024 IEEE.

关键词： Global positioning system

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