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.

A simulation device for analyzing behavior of a granular material that includes a plurality of particles includes a first parameter acquisition unit that acquires a first parameter including a parameter relating to the granular material, a second parameter calculation unit that calculates a second parameter, when a particle group including the plurality of particles is coarsely viewed as a single coarse-view particle, the second parameter relating to the coarse-view particle, and a coarse-view particle behavior analysis unit that analyzes a behavior of the coarse-view particle based on the first parameter and the second parameter. The second parameter calculation unit calculates the second parameter by solving a characteristic equation that uses a relationship between an elastic energy of the particle group and an elastic energy of the coarse-view particle.

A synthesis machine for preparation of a targeted inorganic material for recommended synthesis by a computer program that determines optimal solid-state methods for synthesis of an inorganic material. The computational method involves inputting a target inorganic material, querying structural data and thermodynamic data for the target inorganic material, enumerating possible synthetic reactions to construct a synthetic reaction database with a viable subset of the possible synthetic methods. The routine generates a nucleation metric and competition metric that are combined to provide recommended synthetic methods. The output for each of the recommended syntheses are input into a robotic synthesis machine where the delivery of reactants, reaction conditions, and analysis of extent of reaction, and product quality is controlled by a processor.

A synthesis machine for preparation of a targeted inorganic material for recommended synthesis by a computer program that determines optimal solid-state methods for synthesis of an inorganic material. The computational method involves inputting a target inorganic material, querying structural data and thermodynamic data for the target inorganic material, enumerating possible synthetic reactions to construct a synthetic reaction database with a viable subset of the possible synthetic methods. The routine generates a nucleation metric and competition metric that are combined to provide recommended synthetic methods. The output for each of the recommended syntheses are input into a robotic synthesis machine where the delivery of reactants, reaction conditions, and analysis of extent of reaction, and product quality is controlled by a processor.

The present invention provides a method for analyzing diffusion coefficients of solvent molecules in polymer materials by applying a diffusion coefficient analysis model using 4 descriptors related to solvent properties. The present invention can provide optimum solvents when it is necessary to screen solvents suitable for drying procedure in the preparation of polymer films using a solvent process or it is necessary to analyze the permeability of polymer materials used in the final products by effectively analyzing the diffusion coefficients of solvent molecules.

The present invention provides a method for analyzing diffusion coefficients of solvent molecules in polymer materials by applying a diffusion coefficient analysis model using 4 descriptors related to solvent properties. The present invention can provide optimum solvents when it is necessary to screen solvents suitable for drying procedure in the preparation of polymer films using a solvent process or it is necessary to analyze the permeability of polymer materials used in the final products by effectively analyzing the diffusion coefficients of solvent molecules.

One or more storage devices store a first machine learning model and a second machine learning model. The one or more processors generate each low-dimensional descriptor including the predetermined number of elements for multiple materials, and predict each characteristic value of the multiple materials from the low-dimensional descriptor. One or more processors select a part of materials from multiple materials based on the characteristic value, and generate a high-dimensional descriptor having the number of elements larger than the predetermined number. One or more processors predict each characteristic value of the part of the materials from the high-dimensional descriptor using the second machine learning model.

A recipe construction system, a recipe construction method, a computer readable recording media with stored programs, and a non-transitory computer program product are provided. A dimension reduction module obtains dimension-reduced composition information according to composition information of each piece of historical recipe information and a dimension reduction algorithm. A neural network module obtains a plurality of trained neural network parameters according to the composition information and the dimension reduction composition information. The neural network module obtains dimension-reduced initial composition information according to the trained neural network parameters and initial composition information. A search module searches the historical recipe information for a first quantity of pieces of candidate recipe information. A determining module determines whether physical property information of each piece of candidate recipe information meets a specification, and outputs solution recipe information that meets the specification.

A concrete formulation system for repairing a cultural relic building and a use method thereof. The method includes obtaining a first index value, a second index value, and a third index value of a cultural relic building concrete sample and comparing the index values in a database of the concrete formulation system to obtain raw material components and contents of an original preparation formula of cultural relic concrete. The method further includes preparing a repairing concrete sample, measuring the index values, of the repairing concrete sample and comparing the index values of the cultural relic building concrete sample, and if the result is that the difference between the first index values is not greater than 20%, the difference between the second index values is not greater than 60%, and the difference between the third index values is not greater than 60%, using the repairing concrete sample for cultural relic repair.

A concrete formulation system for repairing a cultural relic building and a use method thereof. The method includes obtaining a first index value, a second index value, and a third index value of a cultural relic building concrete sample and comparing the index values in a database of the concrete formulation system to obtain raw material components and contents of an original preparation formula of cultural relic concrete. The method further includes preparing a repairing concrete sample, measuring the index values, of the repairing concrete sample and comparing the index values of the cultural relic building concrete sample, and if the result is that the difference between the first index values is not greater than 20%, the difference between the second index values is not greater than 60%, and the difference between the third index values is not greater than 60%, using the repairing concrete sample for cultural relic repair.