Abstract: A wireless channel monitoring and simulation device with multi-input multi-output (MIMO) is provided, which includes: a wireless channel monitor, configured to collect characteristic parameters of wireless channels in typical environments, and establish models based on the characteristic parameters; a model database, configured to store the characteristic parameter models and parameterize; an original signal, configured to input N different original signals; a wireless channel simulator, configured to simulate a typical channel environment according to the model database configuration, so that the original signal is the same as that in a real typical channel environment, and adopts a N-path output; an N-channel oscilloscope, configured to observe specific waveforms of N-path simulated signals; and a master computer software, configured to process, analyze, and store N-path output signals.

Abstract: A channel prediction system and a channel prediction method for an OFDM wireless communication system include a standard echo state network and a two-layer adaptive elastic network. In the method, with respect to each subcarrier of a pilot OFDM symbol, an echo state network is trained by using frequency domain channel information of each subcarrier obtained by channel estimation. The trained echo state network may realize short-term prediction of the frequency domain channel information. To overcome a likely ill-conditioned solution of an output weight in an echo state network, the output weight in the echo state network is estimated by using a two-layer adaptive elastic network.

Abstract: The disclosure relates to a method for fabricating a speckle for high temperature deformation measurement of a shaped refractory material. A technical solution includes mixing a hercynite micropowder and a liquid mixing agent in a mass ratio of (3-6):1, and ultrasonically treating to obtain a speckle mixture; polishing a surface of a shaped refractory material to be measured, removing impurities, and spraying the speckle mixture on the surface of the shaped refractory material to be measured with a pneumatic airbrush in a time hood to obtain an uncured speckle; heating the uncured speckle to 60-80° C., keeping for 1-3 h, then heating to 100-120° C., and keeping for 1-3 h to obtain a speckle for high temperature deformation measurement of a shaped refractory material. The fabricated product is suitable for high temperature deformation measurement of a shaped refractory material at 1,600° C.

Abstract: The present invention is related to computer-assisted process design, and an MBD-based three-dimensional process designing method and platform for a typical automobile machined part are disclosed. By taking three-dimensional CAD software as a carrier, an MBD design model, and a process MBD model as a data output, the design flow comprises steps such as establishment of MBD-related standards, creation of an MBD design model, feature classification and creation of a feature library, feature recognition and information extraction, generation of manufacturing elements, clustering of the manufacturing elements and generation of procedures, sequencing of the procedures, and creation of manufacturing features body and procedure models.

Abstract: A method for vehicle-loading warehousing asset management based on an ultra-high frequency (UHF) radio frequency identification (RFID) path loss model, which includes the following steps. An electromagnetic wave is emitted by a tag reader. The electromagnetic wave is diffracted, reflected, and scattered when passing through a warehousing vehicle hood, and the electromagnetic wave is emitted and scattered through the ground. A UHF RFID tag attached to a front surface location region of assets receives electromagnetic waves of various paths emitted by the tag reader. The tag reader reads UHF RFID tag information. A transfer function of a tag receiving signal is constructed according to the tag information, and a path loss function during a UHF RFID tag sensing electromagnetic wave process is constructed according to the transfer function. The path loss is calculated according to the constructed path loss function. A location of the UHF RFID tag is obtained.

Abstract: An analog circuit fault feature extraction method based on a parameter random distribution neighbor embedding winner-take-all method, comprising the following steps: (1) collecting a time-domain response signal of an analog circuit under test, wherein the input of the analog circuit under test is excited by using a pulse signal, a voltage signal is sampled at an output end, and the collected time-domain response signal is an output voltage signal of the analog circuit; (2) applying a discrete wavelet packet transform for the collected time-domain response signal to acquire each wavelet node signal; (3) calculating energy values and kurtosis values of the acquired wavelet node signals to form an initial fault feature data set of the analog circuit; and (4) analyzing the initial fault feature data by the parameter random distribution neighbor embedding winner-take-all method, to acquire optimum low-dimensional feature data.

Abstract: A system and method for controlling a porous medium burner of medium-high temperature heating field, the control system includes a local control system and a remote control system; the local control system is configured for acquisition and feedback of data, and execution of an action; and the remote control system communicates with the local control system in real time and is configured for storage and analysis of data and transmission of an instruction. A system and method for controlling a porous medium burner of medium-high temperature heating field, which can effectively perform prediction and prevention of flashback, be adapted to combustion of gases with different calorific values, monitor and diagnose, in real time, a usage status of a porous medium material, and be suitable for the functions such as real-time monitoring of preheating of air and a fuel gas.

Abstract: A shear box of shear rheology experiment of a soft rock for simulating the coupling of the rainfall seepage and blasting vibration includes an upper shear box, a lower shear box, a normally-loading indenter, a normally-loading cushion block and a test piece joint. The upper shear box is tightly connected to the lower shear box by a vertical roll. The vertical roll passes through the through holes at both sides of the upper shear box and is engaged with the lower shear box through female thread connection holes. The normally-loading indenter passes through a circular through hole and presses against the normally-loading cushion block. The first end of the test piece joint is installed into a water or gas outlet hole, and the second end of the test piece joint is directly mortised into a rock test piece.

Abstract: A power electronic circuit troubleshoot method based on a beetle antennae optimized deep belief network algorithm including the following steps is provided. Output current signals of DC bus of a three-phase PWM rectifier under different switching device open circuit failure modes are collected as an original data set. Intrinsic mode function components of the output current signals under different switching device open circuit failure modes are extracted using empirical mode decomposition to construct an original failure feature set. Fault feature is selected based on extra-trees to generate final fault dataset. A structure of a deep belief network is optimized using a beetle antennae algorithm. An optimized deep belief network is trained using a training set and an obtained failure recognition result is verified using a testing set.

Abstract: The present invention discloses an integrated automated driving system for a maritime autonomous surface ship (MASS).

Abstract: A method for forecasting flood, the method including: calibrating the hydrological model by using an objective function that is a sum of squared difference between the observed streamflow and the corresponding forecasted streamflow at each lead time to obtain the optimized hydrological model; using the optimized hydrological model to forecast floods; and evaluating forecasting performance of the optimized hydrological model. The method improves the forecasting accuracy and provides forecasting results at various lead times.

Abstract: The invention discloses an ionospheric delay correction method for LEO satellite augmented navigation systems for GNSS. According to the method, GNSS satellite navigation signals received by LEO GNSS receiver loads are used for providing ionospheric information for navigation augmentation for earth surface users. In the method, as a set of mobile navigation augmentation reference stations, LEO satellites continuously observe the global ionosphere to generate ionospheric delay correction information, and the ionospheric delay correction information is sent to the earth surface users to obtain augmented navigation performance.

Abstract: The disclosure discloses a transformer DGA data prediction method based on multi-dimensional time sequence frame convolution LSTM, including the steps: firstly, collecting and dividing monitoring information of dissolved gas in transformer substation oil into a test set and a verification set; secondly, extracting characteristic parameters by adopting a non-coding ratio method, deleting data which are basically kept unchanged, and performing normalization, noise superposition etc.

Abstract: Provided is a classification optimization method for steel grade family of a steel rolling model, including: step 1: calculating the deformation rate and deformation resistance of a rolled piece according to rolling process data; step 2: reversing the “equivalently measured” deformation resistance according to the measured roll force; step 3: drawing a scatter plot of data on a graph, and judging whether layer division is reasonable according to distribution characteristics; and step 4: for the unreasonable division of steel grade family, optimizing the existing classification of steel grade family using a new algorithm called line clustering, determining steel grade codes that need to be divided into new family, searching for the shortest distance from a sample point to the curve of each cluster centre based on a Nelder-Mead algorithm, dividing all data points into k subsets according to the principle of proximity, fitting a power curve to each data subset using a least square method, repeating the above ste

Abstract: A method of extraction of an impervious surface of a remote sensing image. The method includes: 1) obtaining a remote sensing image of a target region, performing normalization for image data, and dividing the normalized target region image into a sample image and a test image; 2) extracting an image feature of each sample image by constructing a deep convolutional network for feature extraction of the remote sensing image; 3) performing pixel-by-pixel category prediction for each sample image respectively; 4) constructing a loss function by using an error between a prediction value and a true value of the sample image and performing update training for network parameters of the deep convolutional network and network parameters relating to the category prediction; and 5) extracting an image feature from the test image through the deep convolutional network based on the training result obtained in 4).

Abstract: The disclosure discloses a power transformer winding fault positioning method based on deep convolutional neural network integrated with visual identification, including 1) a winding equivalent circuit is established, and a transfer function thereof is calculated; 2) a sine wave excitation source is set at one end of the power transformer winding to obtain the amplitude-frequency characteristic curve of each winding node; 3) circuits under various fault statuses are subjected to scanning frequency response analysis to extract amplitude-frequency characteristics; 4) a feature matrix is established based on the obtained amplitude-frequency characteristics; 5) scanning frequency response analysis is performed on the diagnosed power transformer to form a feature matrix; 6) the feature matrix is converted into an image, simulation and historical detection data are used as a training set, and a deep convolutional neural network is input for training; 7) diagnosed transformer is subjected to fault classification and

Abstract: A method of real-time transmission and demodulation of BeiDou satellite navigation signals, the method including: constructing a large-scale parallel signal transmission branch, grouping a satellite navigation message in a large scale and sequentially sending the grouped messages into the parallel signal transmission branch, obtaining a navigation satellite parallel transmission branch-dedicated sub-ranging code by using a non-linear function driven complex shift pseudo-random code generator and perform spectrum-spreading for the navigation message of each branch, performing modulation by same carrier with different frequency offsets, then forming a composite satellite navigation signal by superimposing carrier-modulated navigation signals of all branches and adding a noise, and sending the composite satellite navigation signal by a single antenna.

Abstract: The disclosure relates to thermoelectric materials prepared by self-propagating high temperature synthesis (SHS) process combining with Plasma activated sintering and methods for preparing thereof. More specifically, the present disclosure relates to the new criterion for combustion synthesis and the method for preparing the thermoelectric materials which meet the new criterion.

Abstract: The disclosure relates to thermoelectric materials prepared by self-propagating high temperature synthesis (SHS) process combining with Plasma activated sintering and methods for preparing thereof. More specifically, the present disclosure relates to the new criterion for combustion synthesis and the method for preparing the thermoelectric materials which meet the new criterion.

Abstract: The disclosure relates to thermoelectric materials prepared by self-propagating high temperature synthesis (SHS) process combining with Plasma activated sintering and methods for preparing thereof. More specifically, the present disclosure relates to the new criterion for combustion synthesis and the method for preparing the thermoelectric materials which meet the new criterion.