In this paper, we propose a novel three-dimensional interaction system based on a shape-changeable mobile interface. We utilize multiple serially linked line segments to physically collocate virtual objects in real sp...
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Spatially varying thermoelectric field around nanoparticles in laser-induced thermal gradients is derived for the first time. The proposed theory is experimentally validated for optical trapping, rotation, and pulling...
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This research developed a model from experimental data for predicting electrical performance and rate of distilled water production using a photovoltaic (PV) module with evaporative cooling. The model required informa...
This research developed a model from experimental data for predicting electrical performance and rate of distilled water production using a photovoltaic (PV) module with evaporative cooling. The model required information of solar radiation incident upon the module, the ambient temperature, the module’s surface area, the mass flow rate and temperature of water entering the cooling pad as well as the nominal operating cell temperature (NOCT). Experiments were performed with a module having an area of 1.94 m2, attached with 5-mm thick cellulose-polypropylene at the rear surface. Moreover, water feed into the pad was controlled at a temperature of 26-28 ℃ and a fixed flow rate of 0.25 L/min to assure that the pad was fully wetted. The solar heat absorbed by the module could be used to generate water vapor from the pad, which was then condensed on a frame underneath. The experimental data showed that the NOCT was reduced to 43 ℃ from 48 ℃ for an unmodified unit. With evaporation and condensation of water vapor, the PV module could generate more electrical energy, and the unit could also produce distilled water at a mass rate that depended linearly on the difference between the PV module and ambient temperatures. The simulation indicated a strong correlation with the actual test results on both clear sky and cloudy days. Additionally, monthly and yearly performances were simulated in three cities, Chiang Mai with its tropical savanna climate, Sihanouk Ville with a tropical climate, and Ouargla with a tropical desert climate. In relation to solar radiation levels, the highest net annual electrical energy was observed in Ouargla, followed by Sihanouk Ville and Chiang Mai, 806.12, 691.59 and 676.20 kWh, respectively. Annual yields of distilled water were 523.44, 460.48, and 372.52 L/y for Sihanouk Ville, Chiang Mai and Ouargla, respectively.
Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can aug...
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Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can augment training datasets. However, the effectiveness of such approaches is often limited by the amount of available data in clinical settings. Additionally, the common GAN-based approach is to generate entire image volumes, rather than solely the region of interest (ROI) such as the tumor region. Research on deep learning-based brain tumor classification using MRI has shown that it is easier to classify the tumor ROIs compared to the entire image volumes. In this work, we present a novel framework that uses vector-quantization GAN and a transformer incorporating masked token modeling to generate high-resolution and diverse 3D brain tumor ROIs that can be directly used as augmented data for the classification of brain tumor ROI. We apply our method to two imbalanced datasets where we augment the minority class: (1) the Multimodal Brain Tumor Segmentation Challenge (BraTS) 2019 dataset to generate new low-grade glioma (LGG) ROIs to balance with high-grade glioma (HGG) class;(2) the internal pediatric LGG (pLGG) dataset tumor ROIs with BRAF V600E Mutation genetic marker to balance with BRAF Fusion genetic marker class. We show that the proposed method outperforms various baseline models in both qualitative and quantitative measurements. The generated data was used to tackle the problem of imbalanced data in the brain tumor types classification task. Using the augmented data, our approach demonstrates superior performance, surpassing baseline models by up to 6.4% in the area under the ROC curve (AUC), 3.4% in F1-score, and 5.4% in Accuracy in the BraTS 2019 dataset;4.3% in AUC, 7.3% in F1-score, and 9.2% in Accuracy on our internal pLGG dataset. The results indicate the generated tumor ROIs can effectively address the imbalanced data problem. Our proposed met
In this paper we introduce the Generalized Contact Control Framework (GCCF) implemented on a compliant robotic manipulator. We demonstrate that the combined joint compliance and GCCF-based compliance control enable th...
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Several studies have been proposed to control particle trajectory in liquid solutions using optically induced thermal gradient. Upon introducing different solutes such as salts and surfactants along with microparticle...
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ISBN:
(纸本)9781510637320
Several studies have been proposed to control particle trajectory in liquid solutions using optically induced thermal gradient. Upon introducing different solutes such as salts and surfactants along with microparticles in these solutions, an additional optically induced thermoelectric trapping force is generated due to the differential motion of ions in the solution under thermal field. As the complexity of the solution increases, it becomes increasing difficult to understand particle response towards laser irradiance. More importantly, the existing models to study the thermoelectric behavior of the particle assumes a constant temperature gradient across the particles, which becomes obsolete in the micro-regime due to discontinuity of thermal conductivity at the particle-solution interface. For a better understanding of trapping and manipulation behavior of particles under light induced thermoelectric field, the temperature gradient distortion must be considered. In this work, full-scale finiteelement solver model has been proposed to determine the temperature variation around a microparticle under laser heating. The resultant temperature distribution is utilized to numerically evaluate the thermoelectric field and the trapping potential of the laser induced opto-thermoelectric trap. To experimentally validate this methodology, polystyrene micro-particles are trapped opto-thermoelectric-ally in CTAC solution and compared the experimental trapping stiffness to theoretical estimates obtained from the model. It is observed that trapping stiffness saturates as surfactant concentration increases which can be optimized by choosing the lowest CTAC concentration at the onset of saturation. The model implemented here can be easily extended to arbitrarily shaped particles, particles with non-uniform surface morphology, different combinations of core-shell particles and electrolyte solutions, which can be implemented to study different phenomenon such as optical pulling, rotat
Over the past decade, Fluid-Structure Interaction studies related to blood vessels have been an active area of research, as they adequately capture the multiphysics of blood flow within the circulatory system. Despite...
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Over the past decade, Fluid-Structure Interaction studies related to blood vessels have been an active area of research, as they adequately capture the multiphysics of blood flow within the circulatory system. Despite the growing interest, only few state-of-the-art reviews have been published in the literature, each focusing individually on the coronary artery, carotid artery, aorta, heart valves and peripheral arteries. This systematic review assesses the current research and implications of Fluid-Structure Interaction implementation strategies in relation to human arteries. It is meant to comprehensively amalgamate research studies on an array of arteries coupled with cardiovascular complications such as atherosclerosis, plaque calcification, aneurysms, aortic dissections and valve dysfunction. It additionally covers computational finite element and finite volume solver demands, coupling schemes, inlet and outlet boundary conditions specifications, Newtonian and non-Newtonian blood rheological properties, laminar and turbulent flow types, as well as the modelling of the vessel wall’s hyperelastic and viscoelastic mechanical behavior. The research information is retrieved from the last ten years and summarized in a tabulated format, to help researchers in easily extracting useful information for future investigations and reviews.
This paper develops and demonstrates cooperative collision avoidance control on two robotic fish propelled by a servo motor and an ionic polymer-metal composite (IPMC)-driven fish tail. First, experiments conducted on...
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This article focuses on the processing engineering and application of a screw press in the crude palm oil industry. The screw press is a machine designed to extract oil from palm fruit fibre and nut, aiming to minimiz...
This article focuses on the processing engineering and application of a screw press in the crude palm oil industry. The screw press is a machine designed to extract oil from palm fruit fibre and nut, aiming to minimize oil losses in the fibre. However, excessive pressure in the screw press can lead to broken nuts, negatively impacting oil quality. The objective is to determine the optimal pressure that ensures minimal oil losses while adhering to industry standards. The study reveals a logarithmic relationship between screw press pressure and oil losses, meanwhile, relationship between pressure and broken nut was polynomial. The industry standard sets a maximum oil loss limit of 5% and a broken nut limit of 15%. Therefore, finding the appropriate pressure is crucial for achieving optimal results in crude palm oil extraction. This study obtained 60 bar as optimum pressure from mathematical analysis. This research contributes to the understanding of processing engineering techniques in the palm oil industry and aids in enhancing oil yield and quality.
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