Abstract: A method for cyclic biochemical conversion of carbon dioxide and hot gas cogeneration in depleted oil and gas reservoirs includes: S1: selecting a target depleted oil and gas reservoir; S2: adjusting a temperature of the target depleted oil and gas reservoir to 30° C. to 70° C. and detecting whether formation water of the target depleted oil and gas reservoir contains methanogenic archaea, in which if no methanogenic archaeon is contained, then methanogenic archaea is injected and step S3 is proceeded, and if methanogenic archaea are contained, then step S3 is proceeded directly; S3: injecting a mixture of carbon dioxide and hydrogen into the target depleted oil and gas reservoir through a gas injection well; and S4: shutting down the gas injection well to wait for the methanogenic archaea to convert carbon dioxide and hydrogen into methane and exploiting the methane and heat energy in the target depleted oil and gas reservoir.

Abstract: A microwave heat treatment method for granulated blast furnace slag is provided, which includes the following steps: subjecting the granulated blast furnace slag to microwave heat treatment at a frequency of 900-930 MHz and then cooling the slag. Microwave rapid heating is utilized to remove the moisture in the granulated blast furnace slag, stress is generated inside the granulated blast furnace slag particles to promote the formation of cracks or the decomposition of the granulated slag particles into small particles. After the microwave reaches a certain power, the microwave is turned off, an air blower is turned on, and thermal stress is generated inside the granulated blast furnace slag particles, so that the particles are further promoted to generate cracks or fragmentation; and then the desired fine powder can be obtained by ball milling the granulated blast furnace slag after microwave heat treatment for a short time.

Abstract: A two-stage medical image registration method based on progressive images (PIs) to solve the technical problem of low registration accuracy of traditional image registration methods includes: merging a reference image with a floating image to generate multiple intermediate PIs; registering, by a speeded-up robust features (SURF) algorithm and an affine transformation, the floating image with the intermediate PIs to acquire coarse registration results; registering, by the SURF algorithm and the affine transformation, the reference image with the coarse registration results to acquire fine registration results; and comparing the fine registration results of the intermediate PIs, which are acquired by iteration, and selecting an optimal registration result as a final registration image. The method can achieve multimodal registration for brain imaging with MI, NCC, MSD, and NMI superior to those of the existing registration algorithms.

Abstract: The disclosure relates to the field of underground salt cavern energy storage, and discloses a coupling numerical simulation method for site selection of an underground salt cavern hydrogen storage, which specifically comprises the following. Geological data of an area where the salt cavern hydrogen storage is to be established is obtained. A three-dimensional model is established and grid meshing is performed. An initial coupling field is established and balanced based on the geological model, and then excavation simulation of the salt cavern hydrogen storage is performed. A geological model after excavation and related parameter values thereof are imported into TOUGH2MP software, a stress model in FLAC3D software is coupled with hydraulic and thermal models in the TOUGH2MP software to simulate a stress, hydraulic, and thermal coupling behavior process of rock layers around the salt cavern hydrogen storage in the area, and a coupled simulation result is obtained.

Abstract: The present disclosure provides a self-learning collaborative control method for active steering and yaw moment for a motor vehicle, including a first step of constructing fundamental formulas which are stored in a vehicle ECU, and a second step of calculating an active steering angle ?C and a yaw moment Mc on line by the vehicle ECU according to following sub-steps during a driving process of the motor vehicle, and controlling a driving state of the motor vehicle according to ?C and Mc. The second step includes a first sub-step of collecting raw real-time parameter values, a second sub-step of performing calculation by the identifier and the control target reference model, a third sub-step of calculating ?C and Mc. The present disclosure can realize the self-learning collaborative control of active steering and yaw moment without requiring a system control model and correct a driver's steering operation.

Abstract: A blockchain-based privacy protection method for a CCN includes: executing, by a trusted AAC, an initialization algorithm to generate common parameters and a master key, generating a public key and a private key for each consumer and publisher, and randomly generating, by the trusted AAC, its own public key and private key; calculating a public key, and generating ciphertext and uploading the ciphertext to a CSP; performing transaction on-chaining; and during decryption, finding, by the consumer, transaction information of the content on the consortium blockchain, sending an interest packet based on the transaction information, and obtaining ciphertext CT through a storage address in the transaction information; generating, by the consortium blockchain, an access transaction based on access information of the consumer; sending the ciphertext CT to the consumer through a data packet; and locally decrypting, by the consumer, the ciphertext CT, and verifying correctness of the content.

Abstract: The disclosure relates to the field of underground salt cavern energy storage, and discloses a coupling numerical simulation method for site selection of an underground salt cavern hydrogen storage, which specifically comprises the following. Geological data of an area where the salt cavern hydrogen storage is to be established is obtained. A three-dimensional model is established and grid meshing is performed. An initial coupling field is established and balanced based on the geological model, and then excavation simulation of the salt cavern hydrogen storage is performed. A geological model after excavation and related parameter values thereof are imported into TOUGH2MP software, a stress model in FLAC3D software is coupled with hydraulic and thermal models in the TOUGH2MP software to simulate a stress, hydraulic, and thermal coupling behavior process of rock layers around the salt cavern hydrogen storage in the area, and a coupled simulation result is obtained.

Abstract: A method for cyclic biochemical conversion of carbon dioxide and hot gas cogeneration in depleted oil and gas reservoirs includes: S1: selecting a target depleted oil and gas reservoir; S2: adjusting a temperature of the target depleted oil and gas reservoir to 30° C. to 70° C. and detecting whether formation water of the target depleted oil and gas reservoir contains methanogenic archaea, in which if no methanogenic archaeon is contained, then methanogenic archaea is injected and step S3 is proceeded, and if methanogenic archaea are contained, then step S3 is proceeded directly; S3: injecting a mixture of carbon dioxide and hydrogen into the target depleted oil and gas reservoir through a gas injection well; and S4: shutting down the gas injection well to wait for the methanogenic archaea to convert carbon dioxide and hydrogen into methane and exploiting the methane and heat energy in the target depleted oil and gas reservoir.

Abstract: Provided is a beam-column joint of a prefabricated self-centering RC (Reinforced Concrete) frame based on an SMA (Shape Memory Alloy) material, including an RC precast column, an RC precast beam, and self-centering energy dissipation dampers arranged, and a friction energy dissipation damper. The self-centering energy dissipation damper includes an SMA kernel, an upper restraint cover plate, a lower restraint cover plate, a column-end connection reinforcing plate and a beam-end connection reinforcing plate, and a set energy dissipation gap is reserved between the SMA kernel and the upper restraint cover plate. The friction energy dissipation damper includes an in-column embedded connecting plate and a beam-end embedded connecting plate.

Abstract: The disclosure belongs to the technical field of heat insulation materials, and discloses an in-situ microfibrillated reinforced polymer composite heat insulation foam material as well as a preparation method and application thereof. This disclosure adopts a polypropylene matrix, a fiber-forming polymer, an elastomer and an antioxidant as a foam material. The foaming material is subjected to a primary melt blending process and a hot stretching process first, then subjected to a secondary melt blending process and cooling granulation and subjected to a pressing process, and a composite board is obtained. The composite board is subjected to supercritical fluid foaming process, and a composite heat insulation foam material is obtained.

Abstract: An autonomous vehicle longitudinal-and-lateral control method for preventing motion sickness is disclosed. Firstly, a vehicle dynamics model is established, and the current vehicle travelling state and road surface information are determined according to the vehicle dynamics model. After the vehicle travelling state and road surface information are acquired, the desired velocity, desired acceleration, and desired wheel turning angle are output according to a driver model for reducing occurrence of motion sickness while ensuring safety and efficiency, to carry out longitudinal-and-lateral control of the vehicle.

Abstract: The disclosure belongs to the technical field of heat insulation materials, and discloses an in-situ microfibrillated reinforced polymer composite heat insulation foam material as well as a preparation method and application thereof. This disclosure adopts a polypropylene matrix, a fiber-forming polymer, an elastomer and an antioxidant as a foam material. The foaming material is subjected to a primary melt blending process and a hot stretching process first, then subjected to a secondary melt blending process and cooling granulation and subjected to a pressing process, and a composite board is obtained. The composite board is subjected to supercritical fluid foaming process, and a composite heat insulation foam material is obtained.

Abstract: The invention discloses a bionic laminated thermal insulation material, which imitates a multi-thin laminated and thin-layer micro-pore structure of Sequoia sempervirens bark with fire resistance, corrosion resistance and excellent thermal insulation performance. A low thermal conductivity microporous powder is used as main raw material, while reinforcing agent, plasticizer and porosity agent are added to form microporous thin-layer units, and each thin-layer unit is bonded and laminated to make a laminated thermal insulation material. The thermal conductivity of the finished products is as low as 0.02˜0.05 W/m·k, with good thermal insulation and mechanical properties, which can be used in a temperature range below 1000° C., with better thermal insulation and energy-saving effect and toughness than ordinary thermal insulation materials, significantly reducing the thickness of the insulation layer, and can be widely used in industrial furnaces, thermal engineering devices, insulation pipes and other fields.

Abstract: The disclosure relates to the technical field of new foaming materials, in particular to a preparation method of a microporous foam material with oriented cells, which comprises the following steps: (1) melting and mixing raw materials for preparing a polymer composite material, and then carrying out hot stretching to obtain polymer composite fibers; the raw materials comprise a polymer matrix, a fiber-forming phase substance and a processing aid; (2) arranging the polymer composite fibers prepared in the step (1) in the same direction, and performing hot pressing to obtain a polymer composite board with oriented fibers; and (3) carrying out supercritical fluid foaming on the polymer composite board prepared in the step (2) to obtain the microporous foam material with oriented cells.

Abstract: The present disclosure provides a method for producing value-added by-product yellow phosphorus slag through an unconventional electric furnace process, derived from yellow phosphorus. This method is related to the technical field of comprehensive utilization of mineral resources. The disclosed method involves the following steps: mixing mid-low-grade phosphate rock, silica, coke, and a cosolvent to create a blended material, subjecting the blended material to high-temperature reduction in a yellow phosphorus electric furnace to yield yellow phosphorus and water-quenched slag, and then drying the water-quenched slag using yellow phosphorus tail gas to obtain the yellow phosphorus slag. According to this disclosure, a P2O5—CaO—SiO2—MgO—R multi-component system is established using the blended material.

Abstract: The disclosure relates to a synthesis method of long carbon chain semi-aromatic nylon. The synthesis method comprises the following steps: mixing a wet powdery nylon salt, an antioxidant, a catalyst, a surfactant and pellets, and carrying out a one-step solid state polymerization under dynamic mixing to obtain a powdery nylon; under dynamic mixing, enabling the pellets to promote the stirring and mixing of the material and reducing material adhesion to the wall; the one-step solid state polymerization comprises a pre-solid state polymerization and a post-solid state polymerization; in the pre-solid state polymerization, ensuring the nylon salt and the prepolymer not to be molten; in the post-solid state polymerization, gradually reducing the system pressure to vacuum, and keeping the system pressure in vacuum state for at least 1 hour; the temperature of the post-solid state polymerization is not lower than the termination temperature of the pre-solid state polymerization.

Abstract: A method for a self-adaptive service function chain mapping based on a deep reinforcement learning, comprising: establishing an SFC mapping model, dividing an SFC mapping process into a three-layer structure, and representing the structure with abstract parameters; building an SFCR mapping learning neural network, and mapping the abstract parameters to a state, an action and a reward value in the SFCR mapping learning neural network; establishing an empirical playback pool and updating network parameters; summarizing request rates and utilization rates of different VNFs, a number of currently deployed VNFs and a number of unactivated VNFs based on data in the empirical playback pool; and designing a VNF redeployment strategy, and redeploying the VNFs according to the summarized data. The method has good self-adaptability, and can improve the effective service cost rate and the request mapping rate for processing service requests from users in different time periods.

Abstract: A method for intelligent traffic scheduling based on deep reinforcement learning, comprising: collecting flows in a data center network topology in real time, and dividing the flows into elephant flow or mice flow according to different types of flow features; establishing traffic scheduling models with energy saving and performance of the elephant flow and the mice flow as targets for joint optimization; establishing a DDPG intelligent routing traffic scheduling framework based on CNN improvement, and performing environment interaction; jointly inputting the three state messages as a state set into the CNN for training; setting an action as a comprehensive weight of energy saving and performance of each path under the condition of uniform transmission of flows in time and space, and selecting transmission paths for the elephant flow or the mice flow according to the weight; and designing reward value functions for the elephant flow and the mice flow.

Abstract: A vaccine hesitancy prediction method based on emergency vaccine is provided, including: collecting multi-dimensional variables of initial vaccine hesitancy influencing factors, screening the variables and constructing the model, and using the vaccine hesitancy prediction model to accurately identify high-risk groups of vaccine hesitancy. It can help to find the high-risk population of anti-vaccination, provide guidance for vaccination intervention, provide important technical support for the construction of “immune barrier”, and provide technical enlightenment for the prediction of vaccine hesitancy, which has certain economic and social benefits.

Abstract: The present application discloses a pipeline radar and television inspection robot which includes a robot body, a directional drilling lifting device, a directional drilling rotary device, a directional drilling swing device, a radar, cameras and a driving apparatus; wherein the directional drilling lifting device is on a front part of the robot body; the directional drilling rotary device is on the directional drilling lifting device; the directional drilling swing device is on the directional drilling rotary device; the radar and the cameras are on the directional drilling swing device; the driving apparatus are on a bottom of the robot body. The directional drilling lifting device, the radar and the cameras are plugged in the robot body. The robot body electrically connects to cables which electrically connect to a control system. The cameras and the radar are able to be adjusted and the components are connected as modules.