Research on electromyographic (EMG) signals is intensively carried out to help disabled people to control prosthetic hands. Neural Networks have been widely used in research on the classification of finger movements u...
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作者：
Yenphayab, C.Mechanical Engineering Program
Department of Engineering King Mongkut's Institute of Technology Ladkrabang Prince of Chumphon Campus Chumphon86160 Thailand
This study aims to investigate the performance of the advance siphon pump, which is an indigenous knowledge of free energy pump. It was introduced to investigate the potential of conveying water by using the energy eq...
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An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles. Currently, either light detection and ranging (LIDAR) or stereo matching algorithms are used to acquire suc...
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ISBN:
(数字)9781728173955
ISBN:
(纸本)9781728173962
An accurate depth map of the environment is critical to the safe operation of autonomous robots and vehicles. Currently, either light detection and ranging (LIDAR) or stereo matching algorithms are used to acquire such depth information. However, a high-resolution LIDAR is expensive and produces sparse depth map at large range; stereo matching algorithms are able to generate denser depth maps but are typically less accurate than LIDAR at long range. This paper combines these approaches together to generate high-quality dense depth maps. Unlike previous approaches that are trained using ground-truth labels, the proposed model adopts a self-supervised training process. Experiments show that the proposed method is able to generate high-quality dense depth maps and performs robustly even with low-resolution inputs. This shows the potential to reduce the cost by using LIDARs with lower resolution in concert with stereo systems while maintaining high resolution.
Electric vehicle (EV) is increasingly becoming an alternative vehicle of choice to replace an internal combustion engine-powered car. EV concept is clearly linked to sustainable development. Generally, there are four ...
Electric vehicle (EV) is increasingly becoming an alternative vehicle of choice to replace an internal combustion engine-powered car. EV concept is clearly linked to sustainable development. Generally, there are four types of EVs: hybrid, plug-in hybrid, battery, and fuel cell EVs. The form of energy source and storage plays a key role for all EVs. Mostly, a lithium-ion battery (high-voltage battery) is used as energy storage due to its high energy density and long-life cycle. But, high rates of charging and discharging bring about high temperatures of the lithium-ion battery, reducing its useful lifetime. A battery thermal management system (BTMS) is crucial in improving EV performance. Here, in this work, we presented an overview of BTMS employed in the EV development, as well as applications of machine learning techniques to predict and optimize BTMS performance based on fast-charging protocols. Additionally, BTMS based on tropical environmental conditions like in Thailand was also discussed.
The various 2D two-dimensional materials were synthesized great consideration due to the exceptional properties and excellent performance in the, energy storage, catalysis, electronics and energy renovation process. T...
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This paper presents the design and analysis of an extremum seeking (ES) controller for scalar static maps in the context of infinite-dimensional dynamics governed by the 1D Euler-Bernoulli (EB) beam Partial Differenti...
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Recent reports on thermal and thermoelectric properties of emerging 2-Dimensional (2D) materials have shown promising results. Yet, most of these emerging materials are underrepresented or lack a consistent and thorou...
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Recent reports on thermal and thermoelectric properties of emerging 2-Dimensional (2D) materials have shown promising results. Yet, most of these emerging materials are underrepresented or lack a consistent and thorough investigation. Among these materials are Zirconium based chalcogenides such as Zirconium Disulfide (ZrS2) and Zirconium Dieselenide (ZrSe2). Here, we investigate the thermal properties of these Zirconium based materials using confocal Raman spectroscopy. We observed 2 different and distinctive Raman signatures for exfoliated ZrX2 (where X = S or Se). These Raman modes generally depend on the shape of the exfoliated nanosheets, regardless of the incident laser polarization. These 2 shapes are divided into 2D- ZrX2 and quasi 1D- ZrX2. For 2D- ZrX2, Raman modes are in alignment with those reported in literature. However, for quasi 1D-ZrX2, we show that Raman modes are identical to exfoliated ZrX3 nanosheets, indicating a major lattice transformation from 2D to quasi-1D. We also measure thermal properties of each resonant Raman mode for each ZrX2 shape. Based on our measurements, most Raman modes exhibit a linear downshift dependence with temperature. However, for ZrS2, we see an upshift (blueshift) with temperature for A1g mode, which is attributed to non-harmonic effects caused by dipolar coupling with IR-active modes. Moreover, the observed temperature dependence coefficient for some phonon modes of quasi 1D-ZrX2 differ dramatically, which can be caused by the quasi 1D lattice. Finally, we measure phonon dynamics under optical heating for each of 2D-ZrX2 and quasi 1D-ZrX2 and show phonon confinement in quasi 1D-ZrX2 nanosheets. We extract the thermal conductivity and the interfacial thermal conductance for each of 2D-ZrX2 and quasi 1D-ZrX2 nanosheets. Our calculations indicate lower interfacial thermal conductance for quasi 1D-ZrX2 compared to 2D-ZrX2, which can be attributed to the phonon confinement in 1D. Based on our model, we show low thermal con
The 5-equation unconditionally hyperbolic formulation of the two-fluid model solved by Roe’s method is studied. It is well-known that the 5-equation upwind methods experience loss of accuracy at low Mach numbers. To ...
The 5-equation unconditionally hyperbolic formulation of the two-fluid model solved by Roe’s method is studied. It is well-known that the 5-equation upwind methods experience loss of accuracy at low Mach numbers. To address this issue, a preconditioning technique is developed to control the numerical dissipation at low velocities. The resulting method is evaluated on different test cases, and is observed that the preconditioned first order Roe method limits the numerical dissipation, comparable to the second order method without preconditioning. The method is used to study 1D intermittent two-phase flow in pipelines. Our method successfully captures the slugs and predicts the statistics of the flow accurately, for the cases where other methods could not capture a slug flow at all or have serious shortcomings.
Two-dimensional (2-D) cell culture platforms fail to mimic in vivo physiological functions, such as intercellular interactions [1], so a three-dimensional (3-D) cell structure platform is desired to facilitate physiol...
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