Abstract: A method for evaluating a damage power of confined explosion, includes: determining a size of a confined case and a thickness of a target plate according to a requirement of evaluation on damage effectiveness of a warhead to establish an explosive damage effectiveness evaluation platform; calibrating parameters of the platform with a series of confined explosion tests of trinitrotoluene (TNT) bare charges in the case to form a relational map, in which a deflection of a mid-point of the target plate changes with a charge mass; obtaining a deflection of the mid-point of the target plate by detonating different warheads, forming different detonation atmosphere and forming different venting configuration in the case, and performing interpolation through the map to obtain an equivalent bare charge as an evaluation index. The method quantitatively evaluates the damage effectiveness of the warhead, and is not limited by the damage component.

Abstract: The invention discloses an attention-based joint image and feature adaptive semantic segmentation method. First, the image adaptation procedure is used to transform the source domain image Xs to a target-domain-like image Xs-t with an appearance similar with the target domain image Xt, to reduce the domain gap between the source domain and the target domain at the image appearance level; then using the feature adaptation procedure to align the features between Xs-t and Xt in the semantic prediction space and the image generation space, respectively, to extract the domain-invariant features, to reduce the domain difference between Xs-t and Xt. In addition, the present invention introduces an attention module in the feature adaptation procedure to help the feature adaptation procedure pay more attention to image regions worthy of attention. Finally, combining the image adaptation procedure and the feature adaptation procedure in the end-to-end manner.

Abstract: Disclosed are a method and equipment for reinforcing a concrete-filled steel tubular column with an outer concrete-filled steel tube. The method includes following steps: step 1, grinding and derusting an outer wall of a concrete-filled steel tubular column to be reinforced by an auxiliary device; step 2, welding two prefabricated semi-rectangular steel plates in advance, forming a complete rectangular steel tube with the two semi-rectangular steel plates and sleeving the rectangular steel tube outside the concrete-filled steel tubular column to be reinforced; and step 3, filling self-compacting concrete between the outer wall of the concrete-filled steel tubular column to be reinforced and an inner wall of the rectangular steel tube to complete a reinforcement.

Abstract: A person re-identification method based on a perspective-guided multi-adversarial attention is provided. The deep convolutional neural network includes a feature learning module, a multi-adversarial module, and a perspective-guided attention mechanism module. The multi-adversarial module is followed by a global pooling layer and a perspective discriminator after each stage of a basic network of the feature learning module. The perspective-guided attention mechanism module is an attention map generator and the perspective discriminator. The training of the deep convolutional neural network includes learning of the feature learning module, learning of the multi-adversarial module, and learning of the perspective-guided attention mechanism module. The proposed method uses the trained deep convolutional neural network to extract features of the testing images, and using an Euclidean distance to perform feature matching on images in a query set and images in a gallery set.

Abstract: A non-blind area real-time monitoring and alarming system for an accident on a freeway is provided, which belongs to the field of photoelectric technology and can solve the existing problems in whole journey information monitoring for freeways, such as failure to cover all freeway sections and lack of all-weather and prompt monitoring, and being subject to severe environments such as rain, fog and snow, or conditions such as poor visibility at night. The system includes a distributed sound wave detection fiber-optic cable, a sound wave signal demodulator, a network switch, a workstation, and a monitoring terminal. A fiber-optic sensing network composed of a series of reflection nodes distributed at equal distances is utilized to monitor sound wave signals from traffic accidents efficiently in real time without blind areas, accurately locate a traffic incident by analyzing frequency components, and transmit alarming information in time.

Abstract: A hyperspectral remote sensing image classification method based on a self-attention context network is provided. The method constructs a spatial dependency between pixels in a hyperspectral remote sensing image by self-attention learning and context encoding, and learns global context features. For adversarial attacks in the hyperspectral remote sensing data, the proposed method has higher security and reliability to better meet the requirements of safe, reliable, and high-precision object recognition in Earth observation.

Abstract: Disclosed is a method for classifying hyperspectral images on the basis of an adaptive multi-scale feature extraction model, the method comprising: establishing a framework comprising the two parts of a scale reference network and a feature extraction network, introducing a condition gate mechanism into the scale reference network, performing determination step-by-step by means of three groups of modules, inputting features into a corresponding scale extraction network, deep mining rich information contained in a hyperspectral remote sensing image, effectively combining features of different scales, improving a classification effect, and generating a fine classification result map.

Abstract: The present disclosure provides a multi-user slice resource allocation method based on competitive game. In the method, first model a system as a two-tier architecture of virtual infrastructure service providers (VInPs) and users, and build a VInP utility model and a user utility model; then divide slice resource allocation into nodes and links, and build a node power consumption model and a link power consumption model, then determine a revenue of the VInP and a revenue of a user; and calculate a total revenue of a slice according to the revenue of the VInP and the revenue of the user, and use the total revenue of the slice as a network model; then solve the network model, where the VInP is used as a seller, the user is used as a buyer, the seller determines an initial price according to a total quantity of slice resources, and the buyer bids on the slice, and allocate the slice resources by using a competitive game mechanism.

Abstract: A serial IGBT voltage equalization method and system based on an auxiliary voltage source is disclosed. The method includes the following steps. (1) Detect a port dynamic voltage of each serial IGBT. (2) Perform dynamic overvoltage diagnosis respectively on the port dynamic voltage of each IGBT. (3) Supply emergency high level signal to the gate of the IGBT when there is dynamic overvoltage. (4) Stop supplying emergency high level signal to the gate of the IGBT, supply a constant voltage at the gate of the IGBT through the auxiliary voltage source. The invention provides a constant voltage through the auxiliary voltage source, prolongs the off time of the faulty IGBT, and turns off other IGBTs simultaneously, thereby achieving the purpose of serial IGBT voltage equalization.

Abstract: An apparatus for testing a pressure change rate of a component in an electro-pneumatic braking system of a commercial vehicle includes a pressure change rate test bench, a pneumatic loop configured to implement on-off control of air and detection on a pressure change rate of a tested component in an electro-pneumatic braking system of a commercial vehicle, a signal processing unit configured to acquire a pressure signal and a differential pressure signal and perform analog-digital conversion on the signals to provide signals recognizable by an upper controller and a lower execution component, and a control unit configured to communicate with the pneumatic loop and drive the components in the pneumatic loop to act by setting a control parameter to obtain test data of the tested component in the electro-pneumatic braking system of the commercial vehicle in the pneumatic loop.

Abstract: A circuit health state prediction method and system based on an integrated deep neural network are provided and relates to a technique for predicting a power electronic circuit failure. The invention serves to identify and diagnose a health state of a simulation circuit based on historical data by using an integrated deep neural network, and the method includes: carrying out parameter aging simulation experiments for different devices; extracting a series of time domain features of output signals through a temporal transformation method, and establishing health indices of the devices based on an improved angular similarity; predicting a health state of the simulation circuit in degeneration by using CAE and LSTM-RNN; and predicting validity of the circuit health state prediction method by referring to relevant evaluation indices. The invention is capable of effectively predicting the health state of the simulation circuit and is highly accurate and easy to implement.

Abstract: A titanium-containing calcium hexaaluminate material and preparation method thereof is disclosed. The technical solution is: using 60˜80 wt % alumina micro powder, 5˜20 wt % calcium-containing micro powder, 10˜20 wt % titania micro powder and 1˜10 wt % manganese oxide micro powder as raw materials, blending the raw materials evenly in a planetary ball mill to obtain a blend, machine pressing the blend at 100˜200 MPa to obtain a green body, drying the green body at 110˜200° C. for 12˜36 h, and incubating the dried green body at 1500˜1800° C. for 1˜8 h to obtain the titanium-containing calcium hexaaluminate material. The present disclosure has low cost and simple process, and the prepared titanium-containing calcium hexaaluminate material has the characteristics of good chemical stability, high thermal shock resistance and strong melt resistance to titanium-aluminum alloy.

Abstract: Disclosed is a CO2 solidified fiber cement board and its preparation method. The matrix composition of the fiber cement board prepared in this disclosure is calcium carbonate, which has high compactness, and the crystal form of calcium carbonate is adjusted by adding shell powder to improve the toughness of the matrix, so that the fiber cement board has excellent mechanics and durability performance. In addition, the preparation process does not require high temperature maintenance, and has the characteristics of normal temperature preparation, which creates conditions for the introduction of organic synthetic fibers, so that the organic synthetic fibers can further improve the brittleness of cement fiberboard. While reducing energy consumption, the preparation process can also effectively solve the problem that excessive pressure is easily generated in the fiberboard under high temperature conditions in the existing high-temperature and high-pressure curing process.

Abstract: Disclosed is a magnesium-based cementitious material, preparation method and application thereof. The magnesium-based cementitious material, comprising magnesite, sandstone, and water, wherein: the magnesite is provided with CaO, SiO2, Al2O3, Fe2 O3, and MgO, a mass percentage of the CaO is less than 5%, a mass percentage of SiO2 is less than 5%, a mass percentage of Al2 O3 is less than 5%, a mass percentage of Fe2 O3 is less than 7%, a mass percentage of MgO is between 37% and 50%; the sandstone is provided with SiO2, CaO, Al2 O3, and Fe2O3, a mass percentage of SiO2 is greater than 70%. The beneficial effects of this disclosure are: the cementitious material does not contain MgCl2, which avoids the reduction of the strength of the cementitious material due to the dissolution of MgCl2 in water; the magnesium-based cementitious material of this disclosure is immiscible with water and has strong water resistance.

Abstract: A method and a system of lithium battery state of charge (SOC) estimation based on second-order difference particle filtering belonging to the technical field of battery management are provided. The method includes the following steps: building a second-order RC battery model of a lithium battery; performing model parameterization by using a least squares algorithm with a forgetting factor; and generating an importance density function through a second-order central difference Kalman filtering (SCDKF) algorithm, improving a particle filtering algorithm to obtain a second-order difference particle filtering (SCDPF) algorithm, and performing SOC estimation on a lithium battery by using the SCDPF. The estimation method provided by the disclosure is accurate and has greater estimation accuracy than an unscented particle filtering algorithm (UPF), an unscented Kalman filtering algorithm (UKF), and an extended Kalman filtering algorithm (EKF). An SOC value of the lithium battery may thus be accurately estimated.

Abstract: A spiral-orifice ceramic filter for metal casting, including spiral channels and two drain openings, where the spiral channels are distributed in a ceramic substrate in a staggered manner. By adoption of the spiral channel structure, molten metal may rotate to generate a centrifugal force while flowing forwards so as to promote separation of inclusions. The spiral-orifice ceramic filter for metal casting includes the following components: 90-95 wt % of MgO, 4-8 wt % of SiO2 and 2-4 wt % of ZrO2. Therefore, the spiral-orifice ceramic filter for metal casting has high strength under normal temperature and optional thermal impact resistance under high temperature, and may tolerate the impact of molten metal at 1700° C. or higher without break. The ceramic substrate and the spiral channel are superficially coated with one layer of functional oxide prepared from CaO.2Al2O3, CaO.6Al2O3, Al2O3, TiO2, or Re2O3.

Abstract: A method and a system for online monitoring of a health status of an insulated-gate bipolar transistor (IGBT) module are provided, which belong to the field of IGBT status monitoring. In order to overcome the inability to real-time monitor health statuses of existing IGBT modules, the method of the disclosure includes the following steps. A current sensor is used to measure a collector current of each IGBT module. A collected current value is substituted into a simulation model to obtain a current imbalance rate. A failure module is located according to the current imbalance rate and temperature to achieve the objective of monitoring an IGBT health status.

Abstract: The disclosure provides a deep parallel fault diagnosis method and system for dissolved gas in transformer oil, which relate to the field of power transformer fault diagnosis. The deep parallel fault diagnosis method includes: collecting monitoring information of dissolved gas in each transformer substation and performing a normalizing processing on the data; using the dissolved gas in the oil to build feature parameters as the input of the LSTM diagnosis model, and performing image processing on the data as the input of the CNN diagnosis model; building the LSTM diagnosis model and the CNN diagnosis model, respectively, and using the data set to train and verify the diagnosis models according to the proportion; and using the DS evidence theory calculation to perform a deep parallel fusion of the outputs of the softmax layers of the two deep learning models.

Abstract: A method and a system for diagnosing an open circuit (OC) fault of an insulated gate bipolar transistor (IGBT) of a T-type three-level (T23L) inverter under multiple power factors based on instantaneous current distortion are provided. Similar characteristics of current distortion may be caused by an OC fault of a T23L inverter, making it is difficult to locate the fault. The method for diagnosing an OC fault of a grid-connected T23L inverter, can diagnose the OC fault hierarchically; four switch transistors in a phase can be divided into two groups according to the similarity analysis of current distortion under different power factors; group-based fault diagnosis is realized by half cycles in which a zero domain occurs; and then, a specific switching signal is injected to realize equipment-based OC fault diagnosis. The OC fault diagnosis of a T23L inverter is realized without additional hardware circuits.

Abstract: The disclosure provides a method for determining a slope slip plane with a gently-inclined soft interlayer, including: S1, determining a curve formed with a slip arc of a trailing edge tearing plane, a soft interlayer plane and a slip arc of a leading edge shear opening as a slope slip plane; S2, calculating a slip plane stability coefficient; S3, determination of a position of the gently-inclined soft interlayer plane: if the slip plane stability coefficient is less than 1 but close to 1, determining that the position of the slope slip plane is accurate; otherwise, moving the position of the soft interlayer plane and repeating steps S1 and S2, until the slip plane stability coefficient is less than 1 and close to 1. The method is simple, and has a high accuracy for determining a non-circular slip plane with a soft interlayer as a bottom slip plane.