Noisy environments in various domains pose substantial communication barriers that can negatively impact work efficiency and increase safety risks. With the advancement in robotics technology, there's an increasin...
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ISBN:
(纸本)9789819607945;9789819607952
Noisy environments in various domains pose substantial communication barriers that can negatively impact work efficiency and increase safety risks. With the advancement in robotics technology, there's an increasing need for reliable and efficient voice recognition systems to ensure accuracy and safety during complex operations. This paper introduces a groundbreaking voice recognition method utilizing our innovative smart wearable acoustic sensor based on the ConformerLSTM architecture. The sensing device employs a deep learning model that integrates multiple acoustic features, specifically tailored for processing speech signals captured by acoustic sensors. Our approach involves training the model in both quiet and noisy environmental conditions to enable it to adapt to different environments and achieve approximately 80% recognition accuracy in high-noise settings, significantly outperforming traditional models and enhancing robustness. This study not only advances technology for processing acoustic sensor speech signals but also offers an efficient and reliable solution for speech recognition and synthesis across related fields.
Non-Dispersive Infrared (NDIR) is an optical, non-contact, multi-component measurement technology that can be used for online monitoring of gas components and contaminants in liquids. It offers advantages such as good...
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Transient electromagnetic disturbance (TED) such as intentional electromagnetic interference (EMI), fast transient overvoltage (VFTO) and high-altitude electromagnetic pulse (HEMP) can lead to radiated effects electri...
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Against the backdrop of the rapid development of unmanned aerial vehicle (UAV) technology, onboard visual navigation systems have become the core support technology for achieving precise positioning and efficient map ...
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In recent years, as the traditional manual audit systems disposed to errors and frequently focused on compliance, rather than risk valuation the need of advanced audit systems had increased. Additionally, increased co...
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This paper presents a temperature-robust, high energy-efficiency, integrated and low-power transmitter for 2.4 GHz industrial scientific medical (ISM) band. Fabricated in 65 nm CMOS process, the proposed transmitter w...
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ISBN:
(纸本)9798350354966;9798350354959
This paper presents a temperature-robust, high energy-efficiency, integrated and low-power transmitter for 2.4 GHz industrial scientific medical (ISM) band. Fabricated in 65 nm CMOS process, the proposed transmitter with low pulse-position modulation (LPPM) comprises a subthreshold-leakage-current-compensation relaxation oscillator (RxO) and a ring oscillator (RO) composed of delay units with different temperature characteristics. Power efficiency and temperature stability of the transmitter are improved by the above technology. Supporting LPPM and on-off keying (OOK) modulation at 2.4 GHz, the transmitter for Wireless body area network (WBAN) achieves an output power of -14.1 dBm with 20 Mbps and 11 Mbps data rate at 0.6 V, respectively. The power consumption of 99.3 mu W and energy per bit (EPB) of 9.03pJ/bit are measured under LPPM. The frequency variation of temperature compensated RxO and RO are -0.55%similar to 2.25% and -0.23%similar to 0.07%, respectively.
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 emer...
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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 eigen...
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作者:
Searle, ThomasSencadas, VitorAlici, GurselUniv 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
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 in...
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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.
In practical applications, sensors may encounter disturbances that result in the measurement of outliers, leading to abnormal data. Therefore, when performing distributed fusion estimation for time-varying discrete sy...
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