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公开(公告)号:US20200251229A1
公开(公告)日:2020-08-06
申请号:US16783897
申请日:2020-02-06
Applicant: Tata Consultancy Services Limited
Inventor: Beena RAI , Jayita DUTTA , Parijat DESHPANDE , Shankar Balajirao KAUSLEY , Shirish Subhash KARANDE , Manasi Samarth PATWARDHAN , Shashank Madhukar DESHMUKH
Abstract: This disclosure relates generally to a system and method for monitoring and quality evaluation of perishable food items in quantitative terms. Current technology provides limited capability for controlling environmental conditions surrounding the food items in real-time or any quantitative measurement for the degree of freshness of the perishable food items. The disclosed systems and methods facilitate in quantitative determination of freshness of food items by utilizing sensor data and visual data obtained by monitoring the food item. In an embodiment, the system utilizes a pre-trained CNN model and a RNN model, where the pertained CNN model is further fine-tined while training the RNN model to provide robust quality monitoring of the food items. In another embodiment, a rate kinetic based model is utilized for determining reaction rate order of the food item at a particular post-harvest stage of the food item so as to determine the remaining shelf life thereof.
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32.
公开(公告)号:US20200176088A1
公开(公告)日:2020-06-04
申请号:US16699518
申请日:2019-11-29
Applicant: Tata Consultancy Services Limited
Inventor: VENKATA MURALIDHAR KANAMARLAPUDI , NAGA NEEHAR DINGARI , PARIJAT DESHPANDE , JAYITA DUTTA , Soumyadipta MAITI , Beena RAI
Abstract: There is a demand for low-cost robust method to detect corrosion for estimating corrosion inhibitor (CI) concentration sensing. This disclosure herein relates to method and system for estimating corrosion inhibitor (CI) concentration using a multi-electrode array sensor. The method initially obtains a plurality of electrochemical signals using the multi-electrode array sensor from the corroding environment. Further, the plurality of electrochemical signals are analyzed to obtain a plurality of parameters. Further, the method analyses a plurality of features from the plurality of parameters for estimating the corrosion inhibitor (CI) concentration using a trained machine learning model. The method is capable of estimating the corrosion inhibitor concentration of any unknown liquid using the regression model and the classification model.
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