In this study, the ability of two titanium alloys to resist corrosion has been analyzed. This was accomplished by analyzing how the corrosion potential evolves with time as well as observing the Bode and Nyquist diagr...
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In this study, silica extraction from RHA (rice husk ash) has been successfully performed by alkaline using KOH and NaOH with sol-gel precipitation. The silica gel was characterized for the functional group by FTIR, c...
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Flexible loudspeakers that can be easily distributed in the surrounding environment are essential for creating immersive experiences in human-machine interactions,as these devices can transmit acoustic information ***...
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Flexible loudspeakers that can be easily distributed in the surrounding environment are essential for creating immersive experiences in human-machine interactions,as these devices can transmit acoustic information *** this paper,we present a flexible electret loudspeaker that offers numerous benefits,such as eco-friendly,easy fabrication,flexible customization,strong durability,and excellent *** output sound pressure level(SPL)and frequency response characteristic are optimized according to the simulation and experiment *** a distance of 50 meters,a large-size loudspeaker(50×40 cm^(2))can produce an average SPL of 60 dB(normal SPL range of human voices is between 40 to 70 dB).The frequency response of our loudspeaker is high and relatively consistent up to 15 kHz,which covers the normal frequency range of human voices(<8 kHz).As demonstrated in this work,our loudspeakers can be used for scalable applications,such as being integrated with curtains or hung up like posters,offering a promising and practical solution for creating better human-machine interaction experiences.
This study aims to verify the operation of a system that combines a generator, an inverter to control it, and a power conditioner, as well as to observe the system efficiency at the theoretical MTPA (Maximum Torque Pe...
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Optical Bone Densitometry has been introduced to the world as it serves screening task for osteoporosis which significantly save individual cost and time spent. In this report, we aim to diagnosis and analyze errors o...
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Thermal management is essential in our body as it affects various bodily functions,ranging from thermal discomfort to serious organ failures,as an example of the worst-case *** have been extensive studies about wearab...
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Thermal management is essential in our body as it affects various bodily functions,ranging from thermal discomfort to serious organ failures,as an example of the worst-case *** have been extensive studies about wearable materials and devices that augment thermoregulatory functionalities in our body,employing diverse materials and systematic approaches to attaining thermal *** paper reviews the recent progress of functional materials and devices that contribute to thermoregulatory wearables,particularly emphasizing the strategic methodology to regulate body *** exist several methods to promote personal thermal management in a wearable *** instance,we can impede heat transfer using a thermally insulating material with extremely low thermal conductivity or directly cool and heat the skin ***,we classify many studies into two branches,passive and active thermal management modes,which are further subdivided into specific *** from discussing the strategies and their mechanisms,we also identify the weaknesses of each strategy and scrutinize its potential direction that studies should follow to make substantial contributions to future thermal regulatory wearable industries.
Precise placement of thermal applicators is crucial for effective tissue ablation in Interstitial Thermal Therapy (ITT). Accurately localizing these applicators, which are often encapsulated within needles, poses a ch...
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ISBN:
(数字)9798331599003
ISBN:
(纸本)9798331599010
Precise placement of thermal applicators is crucial for effective tissue ablation in Interstitial Thermal Therapy (ITT). Accurately localizing these applicators, which are often encapsulated within needles, poses a challenge because the thermal applicators are usually indistinct from the needles in MR (Magnetic Resonance) images. This difficulty necessitates a common clinical strategy of using low-power activation with MR Thermometry to confirm the position of the heating center. We developed and validated an MR thermometry-guided robotic system to enhance applicator insertion accuracy in ITT. The system integrates an MR-conditional robot, iterative MR scanning plane refinement, and live thermal map feedback to localize the heating applicator and improve insertion precision. Automated localization is achieved within 30 seconds of scanning, with the system autonomously adjusting applicator positioning based on localization results. Experimental validation demonstrated substantial improvements in targeting accuracy, achieving a 0.8 mm average and 2 mm maximum error after insertion compensation. The thermal effects were negligible, with the 6-degree rise isotherm limited to a 3.4 mm radius. This system enhances ITT by improving the precision of thermal energy delivery, minimizing damage to healthy tissues, and offering the potential to streamline clinical adoption while providing safer and more effective treatment options.
In this paper, a multi-target tracking approach that integrates the extended Kalman filter and deep learning-based object detection in marine radar images is presented. The Gaussian YOLOv3 method is utilized for objec...
In this paper, a multi-target tracking approach that integrates the extended Kalman filter and deep learning-based object detection in marine radar images is presented. The Gaussian YOLOv3 method is utilized for object detection, providing both position measurements and their uncertainties. The extended Kalman filter is employed to estimate the position, heading, and speed of each detected target considering the uncertainty values obtained from the object-detection process. The global nearest neighbor-based data association and a dual filter structure composed of a confirmed track and a reserved track are applied to enhance the robustness of the tracking process. The feasibility of the proposed algorithm is validated through a real-world marine radar dataset collected in a coastal environment.
A new strategy for virtually designing and analyzing double-double laminates to resist buckling under uniaxial compression or in-plane shear conditions has been proposed. This approach combines the off-the-shelf metho...
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In this paper, a method using deep reinforcement learning is proposed to deal with the 3D online bin packing problem. The packing objects are not limited to several specific or fixed cuboid objects, but are composed o...
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