Colorectal cancer (CRC) is a third leading cause of cancer death in United States. Colonoscopy is widely utilized both to detect CRC and to detect and remove adenomatous polyps, precursor lesion to CRC, thus preventin...
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Colorectal cancer (CRC) is a third leading cause of cancer death in United States. Colonoscopy is widely utilized both to detect CRC and to detect and remove adenomatous polyps, precursor lesion to CRC, thus preventing CRC from developing. The current technique for polyp identification requires a biopsy, a process that is difficult to perform in vivo. We seek to improve colonoscopy process by developing an impedance analyzer probe which can detect differences in tissue within existing colonoscopy systems. To this end, we developed a coaxial impedance probe capable of fitting through the 3mm instrument channel of a colonoscope. Using porcine intestinal tissue, we verified that this probe is capable of consistently measuring impedance under different contact conditions, such as variable forces or noisy tissue contact.
Real-time object detection is pivotal in various computer vision and robotics applications, such as security surveillance, autonomous navigation, and interactive systems. This study evaluates several object detection ...
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Sustainable power sources for outdoor wearable electronics are essential for the continuous operation of wearable ***,the current lack of engineering design that can harvest energy regardless of weather conditions pre...
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Sustainable power sources for outdoor wearable electronics are essential for the continuous operation of wearable ***,the current lack of engineering design that can harvest energy regardless of weather conditions presents a significant *** this regard,this study introduces a wearable,breathable all-weather usable dual energy harvester(AWuDEH)that can seamlessly generate electrical energy regardless of weather *** this study,the AWuDEH integrated with the thermoelectric generator and the droplet-based electricity generator is *** AWuDEH,especially engineered with a bi-functional top substrate for radiative cooling and electrification,achieves sustainable energy harvesting outdoors,thereby addressing the conventional challenge associated with the necessity for separate energy harvesters tailored to outdoor usage contingent on weather *** device reaches a maximum power output of 14.6μW cm^(-2)under simulated sunny conditions and generates a much more enhanced thermoelectric power of 74.78μW cm^(-2)and a droplet-based electric power of 256.25 mW m^(-2)in rainy *** proof,this study developed self-powered wearable electronics capable of acquiring physiological signals in simulated outdoor *** study presents a promising advancement in wearable technology,offering a potent solution for sustainable energy harvesting independent of weather conditions.
Distance estimation from vision is fundamental for a myriad of robotic applications such as navigation, manipulation, and planning. Inspired by the mammal's visual system, which gazes at specific objects, we devel...
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This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also *** a reliable and quantitative evaluation...
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This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also *** a reliable and quantitative evaluation of AI fairness,many associated concepts have been proposed,formulated and ***,the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure *** privacy worries induce the data unfairness and hence,the biases in the datasets for evaluating AI fairness are *** imbalance between algorithms’utility and humanization has further reinforced *** for federated learning systems,these constraints on precision AI fairness still *** solution is to reconcile the federated learning processes and reduce biases and imbalances accordingly.
The rapid development of Internet of Things technology and the continuous improvement of consumer demand have spawned the emergence of intelligent products based on Internet of Things technology. The existing research...
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This paper is based on Visual Components and PLC to conduct a virtual simulation design study on an intelligent CNC machining production line for typical part shaft in machinery. Firstly, built a simulation intelligen...
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Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their similarity to the background leaf ca...
Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their similarity to the background leaf canopy presents a challenge. Labeling several thousands of very dense olive grove images for segmentation is a labor-intensive task. This paper presents a novel approach to detecting olives without the need to manually label data. In this work, we present the world's first olive detection dataset comprised of synthetic and real olive tree images. This is accomplished by generating an auto-labeled photorealistic 3D model of an olive tree. Its geometry is then simplified for lightweight rendering purposes. In addition, experiments are conducted with a mix of synthetically generated and real images, yielding an improvement of up to 66% compared to when only using a small sample of real data. When access to real, human-labeled data is limited, a combination of mostly synthetic data and a small amount of real data can enhance olive detection.
The main purpose of this paper is to discuss the Reprocessing Units for Medical Devices (RUMEDs) of hospitals in order identify procedures and potential points to improve that will benefit the overall quality of servi...
The main purpose of this paper is to discuss the Reprocessing Units for Medical Devices (RUMEDs) of hospitals in order identify procedures and potential points to improve that will benefit the overall quality of service in target hospitals. We also examine key failures associated with this units. It will mainly focus on the mechanical washing and steam sterilization processes because they're the most often used. General considerations on the design of RUMED units, and its impact on the overall quality of the process, are also made.
In order to realize the real-time perception and intelligent monitoring of greenhouse environmental information and provide the best environment for flower growth, this paper develops a set of greenhouse intelligent m...
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