52results about How to "Solve correlation problems" patented technology

The invention provides a setting method for tunneling parameters of a tunneling machine. The setting method comprises the following steps of predicting the tunneling efficiency of a subsequent section of tunneling by using an efficiency prediction model according to surrounding rock data; calculating tunneling parameters of a tunneling system according to a mathematic relation of the tunneling efficiency and the tunneling parameters. According to the setting method provided by the invention, the problem that the geological adaptability is poor due to the fact that the tunneling parameters are set only according to construction experience is solved, the parameter setting situation under different geological conditions can be better handled, and thus higher safety, higher reliability and higher efficiency for construction are ensured; the surrounding rock parameters having greater relevancy to the tunneling efficiency are selected as a prediction model for inputting, and thus the tunneling efficiency can be predicted more accurately. A partial least squares (PLS) is adopted for extracting components, so that the problem that the relevancy exists between input variables is solved, the input dimension for an ANFIS (Adaptive Network-Based Fuzzy Inference System) structure is reduced, the prediction precision is increased, the simulation velocity is accelerated and real-time setting of the tunneling parameters of the tunneling machine is facilitated.

The invention provides an apparatus for executing a convolutional neural network, wherein the apparatus comprises an instruction storage unit, a controller unit, a data access unit, an interconnectionmodule, a master operation module, and a plurality of slave operation modules. The forward operation of one or more artificial neural network convolution layers can be realized by using the device. For each layer, the input neuron vector is firstly selected according to the convolution window, and then the convolution operation is performed with the convolution kernel to calculate the intermediate result of the layer, and then the intermediate result is biased and activated to obtain the output data. The output data is used as input data for the next layer.

The invention discloses a prefabricated concrete ultra-thin type two-way stress fabricated steel bar truss composite floor slab, and belongs to the technical field of structural engineering. The basiccomposition of a composite beam-slab structure comprises shape steel beams, three-dimensional truss temporary supports, connecting plates, triangular reinforcing steel bar trusses, prefabricated short bars and prefabricated concrete slabs, wherein the shape steel beams are welded to the connecting plates, and the prefabricated short bars, the reinforcing steel bar trusses and the prefabricated floor slab are poured into a whole. The beams, the temporary supports and precast concrete floor slabs are hoisted in place and connected by bolts, reinforcing steel bars are paved in a penetrating mode, and the beams, the temporary supports and precast concrete floor slabs are poured with remaining concrete. The prefabricated concrete ultra-thin type two-way stress fabricated steel bar truss composite floor slab with temporary supports is used, the problem of integrity of the floor slab is solved, the reliability of the floor slab in the construction stage is guaranteed, a post-pouring strip ofthe fabricated floor slab is avoided, the field work efficiency is improved, the thickness of the prefabricated concrete slab is reduced, the weight of the hoisting is reduced, and the fabricated accuracy is improved.

The invention discloses an adjustable bituminous pavement microwave heat regeneration test device which comprises a bearing device and an outer framework connected with the bearing device. The bearing device is provided with a microwave heating device and at least one transverse and longitudinal movement adjusting device used for adjusting the microwave heating device to transversely and longitudinal move in the plane where the bearing device is located. The microwave heating device can be adjusted in the transverse and longitudinal directions, the height of the microwave heating device can be adjusted, the device can adapt to damaged bituminous pavements of different heating areas, different heights and irregular heights, and repair requirements in actual life are met. The regeneration test device is simple in structure, complete in function and convenient to operate.

The invention discloses a fabricated large-module composite beam-slab structure with plane truss temporary supports. The fabricated large-module composite beam-slab structure comprises a beam, the temporary supports, beam connecting plates, a steel bar net and a prefabricated concrete layer; after the beam and the connecting plates are welded, the beam is in bolt connection with a truss to form atemporary whole; steel bar net slices are laid on the temporary whole, steel bars extend to be connected with a flange of the beam in a welded mode, and a concrete slab layer is poured to form the fabricated large-module beam-slab structure; and after on-site hoisting in position is completed, the upper layer of steel bars is laid, and remaining concrete is poured. The fabricated large-module composite beam-slab with the temporary supports are adopted to solve the problem of wholeness of a floor slab; as the large-module beam-slab structure integrates the beam with the slab, the problem of connecting of the beam and the slab is solved; by adopting the steel bar net slices, manufacturing is simple and convenient, and arrangement of late pipelines is facilitated; and the hoisting weight is reduced, and the assembling precision and construction efficiency are improved.

The present disclosure provides a device and method for performing vector logic operations, which are used to cooperate with a set of instruction sets to execute vector logic operations. The device includes a storage unit, a register unit, and a vector logic operation unit, and the storage unit stores a vector , the address of vector storage is stored in the register unit, the vector logic operation unit obtains the vector address in the register unit according to the supporting instruction, and then obtains the corresponding vector in the storage unit according to the vector address, and then performs vector logic according to the obtained vector operation to get the result of the operation. The disclosure temporarily stores the vector data involved in the calculation in a high-speed temporary storage memory, so that data of different widths can be more flexibly and effectively supported during the vector logic operation process, and the execution performance of applications involving a large number of vector logic operations is improved.

The invention discloses a coprocessor calling method and system for image target detection, belonging to the field of image target detection. The method includes: a user end uses a main command packet in a preset format to call different functional IP modules in the coprocessor Perform image preprocessing; the main command package includes: the main command number, used to number the main command package; the current IP number, used to specify the function IP module called by the main command package; the preorder IP number, used to After the work of the functional IP module corresponding to the IP number is completed, call the functional IP module corresponding to the current IP number; the data source and data destination indicate the source of the image data required by the functional IP module called by the current IP number and the receiving object of the processing result; parameters Data, used to configure the parameters of the function IP module invoked by the current IP number. The command packet format proposed by the invention has the advantages of being simple and effective for the user end and the coprocessor, and convenient for multiple functional IP modules in the coprocessor to work in parallel.