Human-machine interfaces (HMIs) require minimal size and less interference to the users. Wireless and battery-free design of HMI devices can be promoted by wireless power transfer (WPT) technology. However, researcher...
Since microdosing of chemical, biological, radiological, and nuclear (CBRN) contaminants is enough to cause great damage to humans, operating robots are widely used to handle CBRN-related tasks. However, how to improv...
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Although various advanced anthropomorphic hands have been proposed, the design and fabrication of thumb joints to achieve dexterity function in a limited space is still a great challenge. To promote the dexterity of t...
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Jumping motion is enlarging the robotic toolbox by providing agile and rapid locomotion functions that can overcome the limitations of environment and size. Although these jumping robots powered by novel mechanisms an...
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This paper presents a non-contact magnetic frequency-boosting wind energy harvester suitable for low wind speed environments, designed to power various IoT sensors. The device comprises a driving component, a driven c...
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ISBN:
(数字)9798350380200
ISBN:
(纸本)9798350380217
This paper presents a non-contact magnetic frequency-boosting wind energy harvester suitable for low wind speed environments, designed to power various IoT sensors. The device comprises a driving component, a driven component, and a stator component. These components work together to convert low-speed rotational motion caused by wind into high-speed rotational motion, thereby achieving high-power electromagnetic energy output. Performance tests have shown that the output voltage increases with wind speed, reaching a peak voltage of 27V and a peak power of 1.6W at a wind speed of 10 m/s. The device has successfully powered LED bulbs and Bluetooth sensors, demonstrating its practicality for real-time environmental monitoring applications.
Understanding the environment is crucial for the autonomous navigation of vehicles. Accurately identifying and removing dynamic objects that cause occlusions and noisy pose issues is crucial to the task. The casualty ...
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ISBN:
(数字)9798331518493
ISBN:
(纸本)9798331518509
Understanding the environment is crucial for the autonomous navigation of vehicles. Accurately identifying and removing dynamic objects that cause occlusions and noisy pose issues is crucial to the task. The casualty collection point (CCP) is a designated location for treating casualties during disasters. These sites are commonly located in open fields to ensure that the injured receive timely and appropriate care. Therefore, the construction of a 3D map in CCP may encounter additional challenges. In this paper, we introduces a novel algorithm that integrates a learning-based multi-object detection network with a Kalman Filter tracking framework to remove dynamic object traces from the 3D map building, particularly in CCP scenarios, and it redirects attention on the velocity attribute of dynamic objects at the object-level scale. Additionally, we contribute a new dataset specifically designed for the CCP scenario. Comparative experiments conducted on the SemanticKITTI dataset and CCP dataset show that our proposed method achieves the state-of-the-art performance in removing traces of dynamic objects on 3D Map. Dataset is available at https://***/haidongwang96/ccp_dataset.
The model of heat source(MHS) which reflects the thermal interaction between materials and laser during processing determines the accuracy of simulation results. To acquire desirable simulations results, although vari...
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The model of heat source(MHS) which reflects the thermal interaction between materials and laser during processing determines the accuracy of simulation results. To acquire desirable simulations results, although various modifications of heat sources in the aspect of absorption process of laser by materials have been purposed, the distribution of laser power density(DLPD) in MHS is still modeled theoretically. However, in the actual situations of laser processing, the DLPD is definitely different from the ideal models. So, it is indispensable to build MHS using actual DLPD to improve the accuracy of simulation results. Besides, an automatic modeling method will be benefit to simplify the tedious pre-processing of simulations. This paper presents a modeling method and corresponding algorithm to model heat source using measured DLPD. This algorithm automatically processes original data to get modeling parameters and provides a step MHS combining with absorption models. Simulations and experiments of heat transfer in steel plates irradiated by laser prove the mothed and the step MHS. Moreover, the investigations of laser induced thermal-crack propagation in glass highlight the signification of modeling heat source based on actual DLPD and demonstrate the enormous application of this method in the simulation of laser processing.
In this paper, we address the challenge of predicting the remaining useful life (RUL) of aero-engines, which are critical components of aircraft that operate under increasingly extreme conditions as engine performance...
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This paper proposes an ocean wave energy harvester (WEH) with a cam-driven frequency up-conversion mechanism. It utilizes a planar pendulum structure to achieve motion response to ultra-low-frequency wave excitation a...
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ISBN:
(数字)9798350380200
ISBN:
(纸本)9798350380217
This paper proposes an ocean wave energy harvester (WEH) with a cam-driven frequency up-conversion mechanism. It utilizes a planar pendulum structure to achieve motion response to ultra-low-frequency wave excitation and then converts the mechanical energy of the pendulum into high-frequency and high-power electrical energy output through the cam-driven frequency upconversion mechanism. WEH’s superior design enables high-power output even under excitation below 1 Hz. At the excitation frequency of 0.75 Hz and resistance load of $20 \Omega$, the maximum power output can reach 461.4 mW. Due to its high output power, the WEH can be integrated into the ocean observation buoy to power the sensors, thereby enabling long-term, unattended operation of the buoy in remote offshore areas.
This paper presents an ultra-low-frequency and high-power wave energy harvester (WEH). It utilizes a vertical pendulum structure to achieve motion response to ultra-low-frequency wave excitation and then converts the ...
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ISBN:
(数字)9798350380200
ISBN:
(纸本)9798350380217
This paper presents an ultra-low-frequency and high-power wave energy harvester (WEH). It utilizes a vertical pendulum structure to achieve motion response to ultra-low-frequency wave excitation and then converts the mechanical energy of the pendulum into high-frequency and high-power electrical energy output through the MagBoost Mechanism. The design of WEH ensures stable output even under excitation conditions below 1 Hz. At the excitation frequency of 1.4 Hz and resistance load of $20 \Omega$, the maximum power output can reach 1.16 W with a power density of $0.54 \mathrm{~mW} / \mathrm{cm}^{3}$. The high energy density allows stable power supplementation for ocean observation buoy within a limited volume, thereby enabling long-term, unattended operation of the buoy in remote offshore areas.
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