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A prototype implementation shows the performance of our prototype.
To improve the performance of our prototype NAIS, currently we have modified the fabrication process.
In particular, we investigate the performance of our prototype in comparison to popular commercially available OCR-software.
To evaluate the effectiveness and efficiency of our artifact, we analyze the performance of our prototype in our real-world case.
The performance of our prototype is limited by the resolution of pixy camera and the low precision of L298 motor driver.
To evaluate the performance of our prototype compiler we present computational results for some of the skeletons available in the language on different architectures.
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The first set of experiments aims to characterize the optical performances of our prototype system (Section 3) and the second set of experiments aims to validate the clinical use of the instrument through our preliminary in-vivo evaluation of the prototype with a live porcine model (Section 4).
In this paper, we present the overall system design from both clinical and optical system perspectives along with a set of experiments to characterize the optical performances of our prototype system and describe our preliminary in-vivo evaluation of the prototype with a pig model.
For a performance evaluation of our prototype we used a test dataset consisting of values taken from the list of Medical Subject Headings (MeSH) [25].
We evaluated the effectiveness and performance trade-off of our prototype on a real cloud test bed.
We aim to further analyze the performance of our proof-of-concept prototype in future study.
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