43results about How to "Shorten the evaluation cycle" patented technology

The present application relates to a method, device, computer equipment and storage medium for predicting protein expression. Including: obtaining the grayscale images of the cells to be tested respectively corresponding to a plurality of cells to be tested in the cell culture pool; inputting the grayscale images of the cells to be tested into the target generation network model; the target generation network model adopts multiple training cell grayscale The graph is obtained by training the generative confrontation network model; the multiple training cell grayscale images have corresponding fluorescent image labels; the fluorescent image labels are the real fluorescent images corresponding to the training cell grayscale images; the network is generated according to the target The output of the model is to obtain the predicted fluorescence maps corresponding to the plurality of cells to be tested; according to the predicted fluorescence maps, the protein expression levels corresponding to the plurality of cells to be tested are determined, and the rapid determination of The protein expression of each cell in the culture pool avoids repeated culture and screening, and effectively improves the prediction efficiency of the protein expression of cells during the culture process.

The invention provides a diffraction theory-based cylindrical array wave force curve calculation step length determination method, which comprises the following steps of listing a velocity potential of water wave diffraction near any cylinder, and determining a diffraction coefficient by a linear equation set; Solving the linear equation set by adopting a Claimer rule to obtain a target square matrix determinant; Ignoring the quantity slowly changing along with the wave number in the square expression of the determinant model to obtain a target expression; And solving a first derivative of theexpression, enabling the first derivative to be equal to zero, obtaining a transcendental equation, deducing a fluctuation interval expression of any cylindrical wave force amplitude curve in a non-capture region, and dividing the fluctuation interval expression by a corresponding natural number according to the required precision to obtain the calculation step lengths of different regions. According to the method, the fluctuation interval of the wave force amplitude curve in the non-capture area is not changed along with the change of the dimensionless wave number and is only related to thetotal number of cylinders in the cylinder array, the number of the columns marking the positions of the cylinders and the wave incident angle, and meanwhile the calculation workload can be reduced onthe premise that the precision is guaranteed.

The invention discloses a composite insulator return evaluation method, which is based on the operating life factor N1, the pollution level factor N2, the precipitation acidity factor N3, the annual average precipitation factor N4, the pulverization degree factor N5, the water repellency factor N6, and the broken string fault Rate factor N7, sheath electrical corrosion defect rate factor N8 to establish a return model, if the evaluation object's operating life factor N1, pulverization degree factor N5, hydrophobicity factor N6, broken string failure rate factor N7, sheath electrical corrosion defect rate If any one of the five factors of factor N8 is equal to 1, the evaluation result of the evaluation object is return; transport. The invention can not only greatly reduce the workload of sampling and laboratory material microscopic test, shorten the evaluation period, but also reduce the failure rate of composite insulators and improve the reliability of power supply.

The invention provides a photovoltaic resource assessment optimization method and system based on historical meteorological data. The photovoltaic resource assessment optimization method comprises the following steps: 1) acquiring the historical meteorological data on a national scale, and computing and archiving the data and converting the form of the data into a data form satisfying the requirement of mapping so as to provide the data source for the whole mapping function; 2) selecting an area on a satellite map, taking the longitude and the latitude of the coordinate point of a diagonal point within the selected area range as the parameters, and then calling a mapping interface in a background service program; 3) using a mapping interface function for background service to inquire the longitude, the latitude and the total irradiance data required by mapping of the selected area, and using the related command of an NCL (The NCAR Command Language) mapping tool to generate a resource distribution map; and 4) loading the resource distribution map, superposing the resource distribution map above the map in a semi-transparent mode, and checking the resource distribution situation by means of combination of the map. The photovoltaic resource assessment optimization method and system based on historical meteorological data can provide a creative assessment scheme for a user, and can greatly improve the efficiency of assessment, and can reduce the assessment time and the assessment cost.

The invention discloses a performance benefit evaluation method of an LRU Cache prefetching mechanism based on an artificial neural network. The neural network training parameters are selected to fit the distribution of access stack distances before the introduction of the prefetching mechanism and the number of missing Cache accesses after the introduction of the prefetching mechanism. , construct a neural network model; calculate the target stack distance distribution of the target program; import the calculated target stack distance distribution into the constructed neural network model, and predict the number of cache access misses of different target programs under the current prefetching mechanism; use the stack distance distribution Calculate the number of cache access misses before the introduction of the prefetch mechanism, compare the predicted number of cache access misses under the current prefetch mechanism with the number of cache access misses before the introduction of the prefetch mechanism, and evaluate the performance benefits of the prefetch mechanism. It can greatly improve the prediction speed of the performance benefit of the Cache prefetch mechanism.

The present invention belongs to the technical field of energy saving and environmental protection, and discloses an automatic acquisition and management system of supply chain carbon footprint information, comprising an RFID tag, an RFID portable reader-writer, a data management system, and a carbon footprint assessment platform system, wherein the RFID tag is used for recording carbon footprint information of an outsourcing component and a product; the RFID portable reader-writer reads the information of the RFID tag; the data management system is connected with the RFID portable reader-writer through a wireless network, and automatically acquires and stores the carbon footprint information of the outsourcing component; the carbon footprint assessment platform system calculates carbon footprint of the enterprise product by using a carbon footprint assessment commercial software built in the platform and data of a database, and feeds a result back to the data management system through an independent data interface, so as to achieve that the result can be inquired by a plurality of clients and can be fed back to the RFID tag during sale of the product. The automatic acquisition and management system of the present invention is suitable for acquisition and management of carbon footprint information of the product by the enterprise.