32results about How to "Shorten the exploration time" patented technology

The invention provides a control method of an electronic cigarette. The method comprises the following steps: S100, obtaining a resistance value of an atomization assembly (20), determining whether the atomization assembly (20) has a magnetic material (21), if so, displaying a first display interface, and otherwise, displaying a second display interface; S200, according to the obtained resistance value of the atomization assembly (20) and a preset corresponding table, outputting corresponding power; and S300, determining whether output power/voltages are adjusted, if a determining result is yes, recording the output power after adjustment, and re-generating a corresponding table, and if the determining result is no, ending operation. Further provided is an electronic cigarette using the control method. According to the invention, user operation can be simplified, and the electronic cigarette is better customized.

The invention relates to a method for fixed-point introduction of non-natural amino acid to protein. More specifically, the invention discloses a method for specifically guiding a non-natural amino acid Ne-butineoxycarbonyl-lysine site into expected protein. The invention also provides a system for fixed-point introduction of non-natural amino acid Ne-butineoxycarbonyl to genetic coding expression of protein. The system comprises a DNA for expressing a wild pyrrole lysyl-tRNA synthetase, a homologous related tRNA and a gene sequence of which the site needing introduction of the non-natural amino acid Ne-butineoxycarbonyl-lysine is mutated into TAG.

The invention relates to a formulating method for a 5052 aluminum alloy strip cold rolling process. The formulation method includes: according to the state of finished products, judging whether the cold rolling process includes a second intermediate annealing and a third rolling pass set or not; calculating the total reduction rate epsilon 1 from blanks to second intermediate annealing or the total reduction rate epsilon 2 from the blanks to the finished products; judging whether the cold rolling process includes first intermediate annealing and a second rolling pass set or not according to the state of the blanks and the total reduction rate epsilon 1 from the blanks to second intermediate annealing or the total reduction rate epsilon 2 from the blanks to the finished products; calculating thickness of the strips subjected to rolling passes and providing the cold rolling process of the 5052 aluminum alloy strips. With the formulating method, cold rolling sets included in the cold rolling process of the 5052 aluminum alloy strips, the number of the passes included in the cold rolling sets and the number of times of intermediate annealing can be determined, and the thickness of the strips during intermediate annealing and the reduction rate of each pass can be determined.

The invention relates to an exploring and coring mining process method of mineral resources comparatively deeply buried, in particular suitable for exploring and coring mining thin mineral resources comparatively deeply buried under a thick covering layer with a high dip angle. According to the method, branch holes are derived and drilled from a parent drilling hole, to avoid an invalid drilling working amount that the drilling hole group repeatedly penetrates the covering layer from the ground, therefore, an effective distance between a drilling starting point and the mine is closer and the exploring footage is greatly reduced; a ''true/false'' exploring result among critical holes of a high-angle objective is avoided. The method is a rake-type drilling exploring method which realizes multiple branches on a main, greatly shortens the exploring cycle, reduces the exploring cost and greatly reduces an influence of a mud pit pollution on the environment, and brings considerable social environmental-friendly benefits and economic benefits in the exploration of the deep resource.

The invention relates to a preparation method for a lead zinc niobate-lead titanate monocrystal. The preparation method comprises the following steps of: mixing raw materials of PbO, ZnO, Nb2O5 and TiO2 according to chemical composition (1-x)Pb(Zn1/3Nb2/3)O3-xPbTiO3PZN-PT, wherein x is mole fraction of PT in a solid solution system and is 0-1; mixing the raw materials of ZnO, Nb2O5 and TiO2 in a stoichiometric ratio, and ball-milling and sintering to obtain ZnNb2O6 with a niobite structure and a small amount of zinc niobium titanium oxide with a rutile structure; mixing PbO and sintering to obtain PZN-PT ceramic powder with a perovskite structure; mixing the PZN-PT ceramic powder and a fluxing agent for the growth of the crystal; processing a seed crystal according to crystal orientation (111) and (011); and growing the monocrystal, namely raising the temperature to the saturated growth temperature and reducing the temperature at a speed of 0.5 to 2 DEG C per hour, wherein the pulling speed of the monocrystal is 0.1 to 0.5 mm/h and the rotating speed of the monocrystal is 10 to 25 rpm, when the temperature is reduced to be between 900 and 1,030 DEG C, the crystal is separated from a melt solution and the monocrystal is obtained by reducing the temperature to room temperature at a speed of 50 to 100 DEG C per hour. The monocrystal has large size, high uniformity and obvious crystal appearance and is easy for directional process. The crucible can be reused, and smelting cost is reduced.

The invention discloses efficient graphene roll-to-roll continuous growth equipment and a preparation method. The graphene roll-to-roll continuous growth equipment comprises a feeding cabin (3), a growth cabin and a receiving cabin (4), wherein the feeding cabin (3) is provided with more than two driven rollers (8), the receiving cabin (4) is provided with more than two driving rollers (9), an isolation support plate (11) is arranged in the growth cabin, the isolation support plate (11) divides the growth cabin into more than two growth chambers, the growth cabin comprises a graphene growth area, and the graphene growth area is provided with a heating device. The graphene preparation method provided by the invention comprises a step of simultaneously placing a plurality of metal substrateson a plurality of driven rollers (8) and a driving roller (9), and a step of setting the driving roller to be the same or different. The equipment and the method disclosed by the invention have the advantages of high quality, good consistency, no size limitation and the like of graphene prepared by the existing equipment, the production efficiency of graphene is further improved, and the energy consumption for preparing graphene per unit area is reduced.

The invention discloses a robot navigation model based on a Bayesian optimization multi-information gain exploration strategy, and belongs to the field of mobile robots and the field of artificial intelligence. The method is realized based on ROS programming, and a simulation robot with a speedometer, an RGB-D camera and other sensors is set. The method comprises the following steps of: firstly, comprehensively measuring and extracting in a mode of fusing leading edge point clustering and a passable area on a candidate point extraction method; on the basis of a candidate point evaluation method, improved Bayesian optimization is used for calculating multiple information gains, map entropy and distance cost are comprehensively considered, then the optimal candidate point is selected, and the robot is prevented from continuously walking along repeated paths in the environment. According to the method, simulation experiment verification is carried out by using gazebo in an ROS operating system, a two-dimensional grid map and an octree map are constructed by using RGB-D information, and a mobile robot can rapidly and effectively explore an unknown environment by using a small number of steps to complete a mapping task with high quality.

The invention discloses a state data generation method and system for reinforcement learning, and the method comprises the steps: obtaining all first state data of an intelligent agent in a first learning stage, and obtaining second state data in the first state data, wherein the distance between the second state data and a learning target accords with a preset step number range; training the variational automatic encoder by using the first state data to obtain a trained encoder of the variational automatic encoder, and sampling to obtain a plurality of first potential variables; inputting second state data into the trained encoder to obtain a plurality of second potential variables; selecting a third potential variable meeting a preset condition from the first potential variable and the second potential variable; and inputting the third potential variable into a decoder of the variational automatic encoder to generate initial state data of the second learning stage. By generating thenew state data, the agent starts to explore from the new state data instead of the original state data at a certain probability, the exploration time is shortened, the reward frequency is increased, and the method is suitable for any reinforcement learning method.

The invention discloses a device for exploring magnetic ore. The device comprises a rack, and a sliding cavity with a downward opening is formed in the rack; a cam is rotationally arranged on the upper side of the sliding cavity; a roller abuts against the lower end of the cam; a wheel shaft is fixedly arranged on the roller; outlines are rotationally arranged at the left and right ends of the wheel shaft; a sliding rod is fixedly arranged at the lower ends of the outlines; a fixed block is arranged on the sliding rod in a sliding manner; a reset spring is fixedly arranged at the upper end ofthe fixed block; the upper end of the reset spring is fixedly connected with the lower ends of the outlines; the geological surface layer is knocked to find the optimal exploration position, loss of adrill bit in the drilling process is effectively reduced, the designed magnetic induction device can rapidly locate the direction of magnetic minerals with the drilling position as the center, and then the exploration time is shortened.

The invention aims to solve the problems of low algorithm efficiency, local optimal path and the like in a search-based path-finding algorithm in a rapidly changing dynamic complex scene. On the basis of a jump point search (JPS) algorithm, a dynamic jump point search (DJPS) path planning method in a dynamic scene is provided, and on the basis of the JPS algorithm, the dynamic jump point search (DJPS) path planning method in the dynamic scene is provided. The DJPS algorithm is used for coping with obstacle changes in different scenes, a set of complete'jump point-path updating scheme 'is designed, meanwhile, a new'near path' possibly occurring during obstacle updating is explored, and the obtained path is optimized to ensure the optimality of the path. In order to verify the effectiveness of the DJPS algorithm, path updating experiments under various complex maps are designed. According to the method, obstacle detection is only performed on the original path and the nodes near the path, and the search length during path finding each time is limited by utilizing jump points stored in OpenList and CloseList in the original algorithm and'abandoned paths' which are obtained by mutual connection and do not finish path finding, so that the time complexity and the space complexity of the algorithm are reduced, and the path finding efficiency is improved. And a jump point searching scheme in a dynamic scene is realized.

The existent problem is that when a recommended route from the present position to the destination is explored, the steward needs to wait for a long time, besides the operation and storage need a large-capacity memory, which makes the route guiding device for vehicles have a high cost. The solution is that by using network data and index data for route search, an exploration device of index data for route search explores the recommended route from the present position to the preset destination by stages at a high speed and guides the steward. According to the distance to the destination, the data is selected to explore the recommended route efficiently. Moreover, the index data for route search is layered and has a small-capacity memory.

The invention discloses a labyrinth navigation method and device based on multi-agent layered reinforcement learning, and the method comprises the steps: enabling each agent to execute an exploration action through a layered structure, judging whether there is an obstacle around the agent, executing an obstacle avoidance action if there is an obstacle, and enabling the agents to gradually reduce the selection action of the layered structure; the agent executes actions in the current labyrinth environment state, collects empirical data, updates an environment model according to the empirical data, judges whether the agent reaches a target point or collides with an obstacle or not, if yes, the agent begins to explore from the initial position again, and if not, the agent continues to explore in the labyrinth environment; the agents are trained by using the empirical data and the environmental model, and each agent bypasses an obstacle in the labyrinth environment and reaches a respective specified target point in a shortest path. The device comprises a processor and a memory. According to the method, the agents are enabled to find the target point more quickly, the number of interaction times is reduced, and the environment non-static problem caused by discordance between the agents is solved.

A computer implemented method and a system abates the presence of sulphide (H2S(g), H2S(aq) or HS-(aq)) in a wastewater flowing in a specific wastewater network from an upstream pumping pit to a downstream pumping pit or manhole. The computer implemented method and a system includes dosing into the wastewater at a position upstream of the downstream pit or manhole a chemical for abatement of sulphide, determining by use of a sensor the concentration of sulphide at a position downstream of the position at which chemical is dosed into the wastewater, such as located in the downstream manhole. The amount of chemical dosed is determined by use of a general agent and a specific agent.

The invention discloses an ecological specimen making system for green sea anemone, and belongs to the technical field of biological specimen making, the ecological specimen making system comprises a culture device (1), a ventilation device and a medicine adding device, the ventilation device comprises an air pump (2) and a ventilation pipe (3), and the medicine adding device comprises a medicine storage tank, a flow speed adjusting part and a medicine feeding pipe; one end of a first flow rate adjusting part (5) is communicated with the medicine storage tank, and the other end is communicated with the medicine feeding pipe; and an air outlet of the ventilation pipe (3) and an outlet of the medicine feedin pipe are formed in the bottom of the culture device (1). The invention further discloses a method for making the ecological specimen of the green sea anemone by using the system. By means of the green sea anemone ecological specimen making system and the method, the vivid green sea anemone ecological specimen can be rapidly made and obtained.

A mouse model of Alzheimer's disease first introduced by Zn ²⁺ Combines with tau-R3 to form a tau oligomer (Zn ²⁺ ‑R3), and the formed oligomers were injected into the left cerebral cortex and right cerebral hippocampus of six-month-old C57 mice. After 45 days, a series of mouse behavior and biochemical indicators were detected. The Alzheimer's disease mouse model of the present invention has simple preparation method, low price and short duration, and can be used as an ideal tau pathological model, providing a certain experimental basis for mechanism exploration and drug research of AD and other tau pathological diseases .