Difference between revisions of "Team:NCTU Formosa/Model"

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                     &#8195;&#8195;Our model aims at making the DenTeeth work precisely and optimizing the efficiency of this product. First, the Prediction Model predicts the bacterial growth curve and the expression of protein and peptide with a quorum sensing system. Second, by developing a reinforcement learning AI which can accurately find out the best frequency for each dog using DenTeeth by the results of the Prediction Model. Our model can be divided into the following two parts:
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                     &#8195;&#8195;Oral cavity is a hotbed for pathogens of periodontal diseases, as the goal of modelling is to simulate the microenvironment incorporated with Denteeth, mainly the overturn of pathogens, and make predictions on their extinction. Therefore, we compute the competing bacterial growing patterns, and the killing effect on pathogens. Also, we propose a renew rate of the final product, considering the biobrick design in Danteeth, including quorum sensing, target peptide expression. Altogether, the model enables Danteeth to optimize continually with the help of reinforcement AI. The model consists of two parts:
 
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                         <li>Prediction Model</li>
 
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Revision as of 14:52, 13 October 2021


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Overview

  Modeling is calculating the physical phenomenon by using mathematical methods or logical algorithms.


Prediction Model
dog
Efficiency Optimization Model
Design

Prediction Model

  The Prediction Model is mainly to analyze the growth of bacteria and the expression of protein and peptide. It can also predict the killing rate and sterilization rate. By this model, we can define the efficiency of DenTeeth.

Efficiency Optimization Model

  To optimize the frequency of using DenTeeth and making our model applies to the dogs better. We input the results of the Prediction Mode to the Optimized Frequence Model and find out the best strategy.

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