The utilization of hydroponic cultivation in agriculture is increasing due to its high productivity even in limited spaces. However, in practice, monitoring and controlling nutrients in hydroponic systems often requir...
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The effects of gate length and drain bias on the off-state drain leakage current of irradiated fully-depleted SOI $n$-channel MOSFETs are reported. The experimental results are interpreted using a model based on the c...
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Grasslands are the largest of the Earth's four major vegetation types and are among the most agriculturally productive lands. Grassland management practices alter biophysical factors, such as plant species composi...
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A new automatic method for multiple sclerosis (MS) lesion segmentation in multi-channel 3D MR images is presented. The main novelty of the method is that it learns the spatial image features needed for training a supe...
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We discuss applicability of several s-z transformations to digital simulation of seismic signal propagation. Starting from a digital simulator obtained by the conventional s-z transformation, we locally optimize it wi...
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We discuss applicability of several s-z transformations to digital simulation of seismic signal propagation. Starting from a digital simulator obtained by the conventional s-z transformation, we locally optimize it with respect to an error function defined on both time and frequency domain.
Advances in biotechnology in the past decade have raised the possibility of fabricating biocompatible, porous membranes for molecular sieving and dialysis separations of particles sized 20–50 nm or less. As a prerequ...
Advances in biotechnology in the past decade have raised the possibility of fabricating biocompatible, porous membranes for molecular sieving and dialysis separations of particles sized 20–50 nm or less. As a prerequisite for such applications, we demonstrate that thin films (∼ 400 nm) of monomeric bovine dermal collagen spin-deposited on a silicon substrate are patternable using standard semiconductor microlithographic processing techniques. Patterning via liftoff has reliably produced square features as small as 10–25 μm laterally, and 50 nm thick, in initial *** (high vacuum electron microscope) images of these collagen membranes have revealed typical pore sizes ranging from 1–100 nm. Through-membrane diffusion of chromophores spanning this size range was quantified via UV/vis spectrometry. These studies revealed that a 400 nm thick collagen membrane crosslinked with 0.02% glutaraldehyde rejected detectable quantities of methyl orange dye (MW 327) for at least 48 hours, while a 100 nm thick layer admitted methyl orange in under 30 minutes. DNA has been demonstrated to pass through a 100 nm thick collagen layer more slowly than through a bare through-etched control wafer.
This paper presents an optical coherence tomography (OCT) system in conjunction with a novel image reconstruction technique employed for in vitro imaging of human teeth. The primary goal is to enhance the signal-to-no...
This paper presents an optical coherence tomography (OCT) system in conjunction with a novel image reconstruction technique employed for in vitro imaging of human teeth. The primary goal is to enhance the signal-to-noise ratio (SNR) in the obtained images. The study entails a comparative analysis between the conventional Fast Fourier Transform (FFT) OCT image reconstruction method and a newly introduced scaled nonuniform discrete Fourier transform (NDFT) approach. The findings reveal that the NDFT method consistently delivers superior results in terms of peak signal-to-noise ratio (PSNR) and overall image quality, even when dealing with redundant and nonuniform frequency domain samples. In light of these results, this paper concludes that integrating NDFT into OCT procedures has the potential to significantly enhance the quality of image reconstructions, thereby fostering its broader application in the field of dental imaging.
In mobile robotics, an essential requirement for the fusion of different sensors is that measurements are expressed with respect to the same reference. In this sense, the transformation between sensors and robot is ne...
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ISBN:
(数字)9798331508807
ISBN:
(纸本)9798331508814
In mobile robotics, an essential requirement for the fusion of different sensors is that measurements are expressed with respect to the same reference. In this sense, the transformation between sensors and robot is necessary to ensure better sensor fusion. Therefore, this article proposes an extrinsic sensor calibration based on markers and associated to three orthogonal planes. This technique is applied to two calibration approaches, LiDAR-Robot and LiDAR-Camera. The first one calculates the transformation between a 3D LiDAR sensor and a robot, and the second system calculates the transformation between a 3D LiDAR and an embedded RGB camera. To demonstrate the efficiency of our method, we performed simulations on the CoppeliaSim simulator and experiments in the laboratory. Then, the results show that it is possible to calibrate the sensors with the methodologies.
This paper proposes an economic dispatch strategy to accommodate photovoltaic (PV) generation, using the solar radiation historical data. The stochastic scenario based economic dispatch approach is formulated in the c...
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ISBN:
(纸本)9781479979943
This paper proposes an economic dispatch strategy to accommodate photovoltaic (PV) generation, using the solar radiation historical data. The stochastic scenario based economic dispatch approach is formulated in the context of a power system with photovoltaic generators. The stochastic nature of PV power is represented through scenarios. The strategy proposed addresses the improvement of system ability to maintain the power balance while minimizing the management costs of power system. The benefits of this approach are illustrated using a modified version of the IEEE 30-bus test system. The results obtained show that the proposed model is appropriated to accommodate the estimation error of PV generation, while providing economic benefits.
Recent developments in cutting-edge live microscopy and image analysis provide a unique opportunity to systematically investigate individual cell’s dynamics as well as simulation-based hypothesis testing. After a sum...
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Recent developments in cutting-edge live microscopy and image analysis provide a unique opportunity to systematically investigate individual cell’s dynamics as well as simulation-based hypothesis testing. After a summary of data generation and analysis in the observation and modeling efforts related to C. elegans embryogenesis, we develop a systematic approach to model the basic behaviors of individual cells. Next, we present our ideas to model cell fate, division, and movement using 3D time-lapse images within an agent-based modeling framework. Then, we summarize preliminary result and discuss efforts in cell fate, division, and movement modeling. Finally, we discuss the ongoing efforts and future directions for C. elegans embryo modeling, including an inferred developmental landscape for cell fate, a quasi-equilibrium model for cell division, and multi-agent, deep reinforcement learning for cell movement.
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