18results about How to "Enhanced advantage" patented technology

An application specific integrated circuit (ASIC) for computing a convolutional neural network (CNN) has a first input bus that receives a stream of ordered values from an array, each location in the array having one or more channels, and a plurality of kernel processing blocks that receive inputs through a configurable multiplexer. The arrangement and connection of the kernel processing blocks and the bus enable the ASIC to operate as a pipeline system and transmit the output stream in a manner synchronized with the input stream.

The invention relates to an aluminum profile extrusion process energy consumption control method and system, and the method comprises the steps: constructing a control network with an industrial computer as an upper computer and controllers of an extruder, an aluminum bar heating furnace and a mold heating furnace as lower computers, designing main control software for the industrial computer, building the communication between the upper computer and the lower computer through a TCP / IP protocol, and carrying out the control of the upper computer and the lower computer; meanwhile, data exchange and real-time information acquisition with the MES system are carried out; process parameters in the aluminum profile extrusion process are obtained from an MES system, real-time data of the process parameters are input into the machine learning model, and the optimized process parameters are output; and according to the process parameters, the preheating temperature of the die and the aluminum bar controlled by energy consumption and the opening time of a die heating furnace door and an aluminum bar heating furnace door are automatically and accurately calculated in the software module. Through combination of an industrial computer, an MES system and a machine learning technology and accurate calculation of equipment control parameters, efficient energy consumption control and production optimization are realized.

The invention provides an equipment dynamic confrontation game decision-making method and device based on a knowledge graph, belongs to the technical field of behavior decision-making, and aims to solve the problem of lack of effectiveness and high efficiency in dynamic game strategy selection in the prior art. Firstly, a target is recognized through a knowledge graph, and the end point of an inference strategy is determined; and then, converting the game strategy reasoning path into a sequence decision problem by using a Markov decision process model, and solving the problem through an Actor-Critic deep reinforcement learning method. And finally, obtaining an optimal game strategy through path search and multi-path synthesis. According to the invention, the efficiency and efficiency of equipment confrontation decision making are improved, and the method has important application value.

The invention relates to a market-oriented new energy power supply and distribution system resource modeling method and system, belongs to the field of new energy power, and provides a market-oriented new energy power supply and distribution system resource modeling method for solving the problem that an existing mode is difficult to meet the requirements of efficient operation and transaction optimization of a new energy power supply and distribution system. Comprising the steps of classifying resources according to resource types contained in the new energy power supply and distribution system based on characteristic parameters of the resources; establishing a mathematical model to which each resource type belongs; respectively establishing an association model to which each resource type belongs, wherein the association model is used for associating offers between the resources and the new energy power supply and distribution system; and based on the mathematical model and the correlation model, constructing a new energy power supply and distribution system scheduling model, realizing cooperative operation between new energy power generation resources and energy storage resources, further realizing optimized storage and release of energy, and realizing accurate modeling and efficient optimization management of various resources in the new energy power supply and distribution system.

The application discloses a method for producing lysine by immobilized continuous fermentation, and the method comprises the following steps: soaking a multi-hydroxy flexible polyester fiber carrier in soluble pectin, and drying the carrier by a dry heat method to obtain an immobilized carrier; inoculating seed liquid of cultured Corynebacterium glutamicum into a high-oxygen-bio-reactor containing the immobilized carrier and a fermentation medium, and performing batch-fed fermentation for a certain batch to immobilize the Corynebacterium glutamicum on the immobilized carrier, so that the Corynebacterium glutamicum can stably produce lysine; and switching to a mode for continuously producing lysine. The method for producing lysine by the immobilized Corynebacterium glutamicum fermentation can be stably operated for more than 15 days, and compared with free fermentation, the lysine production rate is increased by nearly 35%, and the sugar-acid conversion rate is increased by nearly 4 percentage points.

The invention discloses a container type energy storage system and a battery management system in the technical field of energy storage systems, the battery management system comprises a plurality of third-level BMSs, each third-level BMS is in communication connection with a plurality of second-level BMSs, each second-level BMS is in communication connection with a plurality of first-level BMSs, and each first-level BMS is in communication connection with a plurality of second-level BMSs. Each primary BMS is connected to a corresponding battery module in an energy storage system; one of the three-stage BMSs is set as a master three-stage BMS, the other three-stage BMSs are set as slave three-stage BMSs, and all the slave three-stage BMSs are in communication connection with the master three-stage BMS. The three-stage BMS is designed in a two-stack master-slave mode, the number of the battery clusters is increased, the circulation of the battery cells is reduced, and the available capacity of the energy storage container is improved.

Provided are a solid form of a Rho-associated protein kinase inhibitor (6-(4-((4-(1H-pyrazol-4-yl)phenyl)amino)pyrimidin-2-yl)-1-methyl-1H-indol-2-yl)(3,3-difluoroazetidin-1-yl)methanone or a solvate thereof, a method for preparing the solid form, a pharmaceutical composition comprising the solid form, and a use of the solid form as a Rho-associated protein kinase (ROCK) inhibitor, preferably a selective ROCK2 inhibitor.

The invention provides a capacitive touch module with a matrix coding metal layer, which comprises a capacitive sensing metal layer formed by staggering a plurality of signal lines TX and a plurality of receiving lines RX; the dielectric layer is positioned above the capacitive sensing metal layer; the matrix coding metal layer is positioned above the dielectric layer and is provided with a plurality of coding lines, the coding lines are mirror images and are electrically connected with the signal lines TX, and the coding lines are physically coded by a coding matrix; and the processing unit is internally provided with an operation matrix to output sine wave signals to the signal line TX corresponding to the coding matrix, and recovers the capacitive sensing signals coded by the coding matrix through the receiving line RX, so that the signal resolution is improved through physical coding.

The invention belongs to the field of treatment of acute ischemic stroke by Yao-strengthening medicines, and discloses a Yao-strengthening medicine compound medicine, a preparation method and application of the Yao-strengthening medicine compound medicine in treatment of acute ischemic stroke, the Yao-strengthening medicine compound medicine is prepared from the following raw materials in parts by weight: 55-62 parts of radix fici simplicissimae, 12-17 parts of radix aconiti, 26-35 parts of radix ilicis pubescentis and 13-18 parts of radix saposhnikoviae. After the four raw materials are put into clear water, liquid medicine is prepared from the raw materials, and the Zhuang Yao medicine compound medicine is obtained. The Zhuang Yao medicine compound medicine has the characteristics of low price, convenience in use, remarkable curative effect, dredging of toxic and pathogenic stasis of a dragon road and a fire road, small toxic and side effects and simple preparation process.

The invention relates to a new method of determining the presence, absence or characteristics of an analyte. The analyte is coupled to a membrane. The invention also relates to nucleic acid sequencing.

The invention relates to a cold power generation station, energy is stored by using liquefied gas produced by an air separation device, cold power generation is carried out by using the energy-stored liquefied gas, the energy storage type cold power generation station efficiently absorbs photovoltaic power and wind power or is used for valley shifting and peak filling of a power system, and the power station further has combined cooling and power supply capacity. And liquid oxygen, liquid nitrogen or high-purity nitrogen can be produced as a byproduct, and the expected social and economic benefits are obvious.

The present invention provides therapeutic agents and compositions comprising elastin-like peptides(ELPs) and therapeutic protein is a GLP-1 receptor agonist, insulin, or Factor VII / VIIa, including functional analogs. The present invention further provides encoding polynucleotides, as well as methods of making and using the therapeutic agents. The therapeutic agents have improvements in relation to their use as therapeutics, including, inter alia, one or more of half-life, clearance and / or persistence in the body, solubility, and bioavailability.

The utility model discloses a subpackaging device for cosmetics, which comprises a working table, a subpackaging mechanism is arranged on the surface of the working table and used for subpackaging the cosmetics, the subpackaging mechanism comprises an adjusting unit arranged on the surface of the working table, and the utility model relates to the technical field of storage devices. According to the subpackaging device for the cosmetics, a plurality of extrusion blocks are arranged at the opening of the surface of the supporting frame, an adjusting plate is arranged at the tops of the extrusion blocks, and a clamping groove is formed in the surface of the adjusting plate; the problems that before novel cosmetics enter production officially, the developed novel cosmetics are manually subpackaged, then professional personnel experience in advance, due to the fact that the number is fixed and number selection is not achieved during subpackaging of a subpackaging device, the novel cosmetics can only be manually subpackaged one by one, and the subpackaging efficiency is low are solved. And multiple sub-packaging can be carried out at the same time, independent adjustment can be carried out for single sub-packaging, and the practicability is enhanced.

The invention relates to the design field of over-voltage (OVP) and over-current (OCP) protection circuits in handheld electronic products, in particular to a low-cost over-voltage and over-current protection circuit formed by discrete devices and electric equipment adopting the protection circuit. The protection circuit comprises a recoverable fuse (F1), a PMOS field effect transistor (Q1), an NPN triode (Q2), a protection diode (D1), a processor MCU (U1), a temperature sensor (T1) and a plurality of resistors. External voltage and current reach the source electrode of the PMOS through the FUSE, the drain electrode of the PMOS is internal voltage and current, and the grid electrode of the PMOS controls the drain electrode of the PMOS through a circuit; meanwhile, external voltage is connected to ADC input of the MCU, and input voltage is monitored in real time through the MCU. The MCU can judge whether overvoltage occurs or not through a preset threshold value, if overvoltage is judged, an NPN triode is controlled through a GPIO1 of the MCU, then a grid electrode of a PMOS is controlled, the purpose of controlling on-off of an input power supply is achieved, and the safety of post-stage electric equipment is guaranteed.

The utility model relates to the technical field of semiconductor manufacturing equipment, concretely is a kind of low-cost stainless steel semiconductor heating disc structure, including cover, pedestal, electric heater and shaft column, the side of pedestal and cover connection is provided with annular groove, cover is embedded in annular groove, and cover and pedestal are connected by the welding bead of outer circumferential annular and the electron beam welding connection of several welding spots inside array.It is adopted that the low-cost stainless steel semiconductor heating disc structure uses electron beam welding, avoids the damage of high temperature to electric heater insulating medium, improves heating disc reliability and service life;At the same time, electron beam welding cost is lower, can shorten production cycle, improve production efficiency;Its unique welding structure, such as annular groove cooperation outer circumferential annular welding bead and inside array welding spot, strengthens the connection strength and overall stability;Reasonable welding spot distribution ensures heating uniformity, and the cylindrical protruding design at welding spot improves welding precision.

This invention relates to an optimal DoS attack scheduling method based on deep learning algorithms, comprising: establishing a mathematical model of a distributed cyber-physical system; obtaining local state estimation information through Kalman filtering and transmitting it to a remote estimator via a wireless channel; establishing an attack-channel coupling model based on the signal-to-interference-plus-noise ratio (SINR), whereby the attacker injects attack energy into the wireless channel to reduce the probability of successful packet reception, and obtains the remote estimation error covariance as the system state by eavesdropping on confirmation character information; constructing a Markov decision process model that maximizes the discounted cumulative reward, using the error covariance as the state, attack energy allocation as the action, and the trade-off between estimation error and attack energy as the immediate reward; solving the Markov decision process model using a deep Q-network, approximating the optimal Q-function through a neural network, and outputting an optimal attack energy scheduling strategy that satisfies stability constraints. This invention improves the efficiency and effectiveness of DoS attacks, enhancing the attacker's advantage in network warfare.

The invention discloses a numerical control gear grinding machine for high-precision gear machining, and relates to the technical field of numerical control gear grinding machines, the numerical control gear grinding machine for high-precision gear machining comprises a workbench, a gear connecting seat, a grading grinding mechanism, a feeding mechanism, a linear reciprocating driving part and the like, the lifting plate controls rack position switching through a micro motor, a second turbine worm self-locking speed reducer and a screw rod; in the aspect of high-precision graded grinding, through unique design, rough, medium and accurate grinding processes of tooth grooves are achieved, the grinding amount and precision are precisely controlled, the size, shape precision and surface roughness of the tooth grooves are improved, the tooth surface waviness and tooth profile errors are reduced, the gear transmission stability is enhanced, vibration noise is reduced, and the service life is prolonged; the racks are switched and matched efficiently, multiple procedures are completed on the same equipment, the carrying and clamping frequency is reduced, and the machining efficiency and precision are stabilized.

The invention provides a resin material, a carbon material and a preparation method and application thereof, and relates to the technical field of battery negative electrode materials, the resin material comprises polyhedral resin particles, the polyhedral resin particles comprise a first resin plane, and the first resin plane is a polygonal resin plane. Compared with a spherical material, the filling and bonding properties are greatly improved. The polyhedral carbon material is obtained from the polyhedral resin material, and the polyhedral silicon-carbon composite material is obtained on the basis of the polyhedral carbon material. The spherical silicon-carbon negative electrode material shows relatively good cycling stability in lithium battery negative electrode application. The polyhedral material overcomes the defects of a block material and a spherical material, integrates the advantages of the block material and the spherical material, and provides an ideal silicon-carbon composite material. The polyhedral silicon-carbon composite material solves the technical bottlenecks of high interface impedance and weak binding power caused by limited contact area of a spherical silicon-carbon negative electrode material in the prior art, and unstable electrode structure caused by high brittleness and difficulty in uniform dispersion of a block material.