The recognition of traffic light in unmanned autonomous driving is one of the key functions. In general, to achieve this goal, deep learning and image processing technology are mainly used in autonomous driving indust...
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Dysfunctional blood vessels are implicated in various diseases,including cardiovascular diseases,neurodegenerative diseases,and *** studies have attempted to prevent and treat vascular diseases and understand interact...
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Dysfunctional blood vessels are implicated in various diseases,including cardiovascular diseases,neurodegenerative diseases,and *** studies have attempted to prevent and treat vascular diseases and understand interactions between these diseases and blood vessels across different organs and *** studies were conducted using 2-dimensional(2D)in vitro and animal ***,these models have difficulties in mimicking the 3D microenvironment in human,simulating kinetics related to cell activities,and replicating human pathophysiology;in addition,3D models involve remarkably high ***,in vitro bioengineered models(BMs)have recently gained *** created through biofabrication based on tissue engineering and regenerative medicine are breakthrough models that can overcome limitations of 2D and animal *** can also simulate the natural microenvironment in a patient-and target-specific *** this review,we will introduce 3D bioprinting methods for fabricating bioengineered blood vessel models,which can serve as the basis for treating and preventing various vascular ***,we will describe possible advancements from tubular to vascular ***,we will discuss specific applications,limitations,and future perspectives of fabricated BMs.
The oil refinery industry has a potential emission reduction by combining its fossil fuel with Renewable Energy usage. One alternative to reduce carbon emissions is the hybrid power system using solar panels for elect...
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The current study focuses on the application of the nonlinear negative stiffness mechanism to a Salter's duck, which is a well-known wave energy conversion (WEC) device known for its efficiency of 90% in 2D regula...
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Autonomous robots driving in agricultural environments need to create accurate routes to prevent damaging farmland. Herein, a real-time path planning algorithm based on ridge detection using the Livox Mid70 LiDAR is p...
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The dilemma zone refers to the area where a vehicle approaching an intersection as the light turns yellow must decide whether to stop or not. Often, the vehicle’s speed is too fast for it to stop at the stop line bef...
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Fast drumming presents a speed challenge to many robotic arms. To simultaneously meet the needs for speed, stroke, and force, we proposed and tested a new double-saddle dielectric elastomer actuator (DEA) as the artif...
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Fluoroscopy in a low-dose tube output is used to reduce the damage associated with radiation exposure. However, lowering the radiation dose inevitably increases random noise in x-ray images, resulting in poor diagnost...
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ISBN:
(纸本)9781510660311
Fluoroscopy in a low-dose tube output is used to reduce the damage associated with radiation exposure. However, lowering the radiation dose inevitably increases random noise in x-ray images, resulting in poor diagnostic image quality, which requires noise reduction for accurate diagnosis. Also, in the case of non-static objects, the image is blurred due to motion. The most-used denoiser with a recursive filter (RF) preserves details well when applied to temporal data, but it is vulnerable to motion blur. Existing convolutional neural network (CNN)-based algorithms with single-frame input cannot use the temporary context, and others with multi-frame input are good for motion detection but poor for detail preservation. Therefore, we propose a motion-level-aware denoising framework to combine the results of RF- and CNN-based algorithms depending on the pixel-wise magnitude of motion to complement each other. The data we use are fluoroscopy images taken in continuous time, and we aim at many-to-one so that one frame is denoised by considering sequential frames. Also, since both RF- and CNN-based algorithms used in our architecture are many-to-one methods, they can consider spatiotemporal information. In the multi-frame input, the difference in intensity of each pixel between frames is calculated to obtain a moving map. Depending on the factor value from the moving map, the final image is obtained by reflecting the outputs of the RF- and CNN-based algorithms. If the factor value is high, the pixel intensity of the final image is like the CNN-based output, which is good for motion detection, and vice versa, it more reflects the intensity of RF output, which is excellent in perceptual quality. Therefore, it prevents motion blur and does not over-smooth microdetails, such as bones and muscles. The results show that combining the two outputs together records higher peak signal-to-noise ratio (PSNR) and has better perceptual quality for diagnosis than using only one method. F
In this paper, we propose a novel hands-free interface for robot-assisted operation. Surgeons use both hands during surgery, making difficult for them to operate the display. However, by using a modality other than th...
In this paper, we propose a novel hands-free interface for robot-assisted operation. Surgeons use both hands during surgery, making difficult for them to operate the display. However, by using a modality other than the hands to operate the display, the surgeon can check the necessary information for the operation in real time. Therefore, we developed a system that recognizes breath from the temperature change on the mask surface. Then, we compared the proposed system with a directly recognized breath method. Consequently, the proposed method had the same performance as directly recognized breath method and minimized the risk of contamination. We believe that the application of our developed system will contribute to the improvement of safety and efficiency in the medical field.
Location estimation for waypoint-based autonomous driving robots primarily relies on SLAM (Simultaneous Localization and Mapping) and GNSS (Global Navigation Satellite system) technologies. GNSS performs well in open ...
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