32 results about "Sparrow" patented technology

The invention belongs to the technical field of physiotherapy, and particularly relates to a household physiotherapy instrument which comprises a moxibustion head, a movement assembly, a telescopic assembly and a base. A first telescopic section of the telescopic assembly is arranged on the base, and a second telescopic section is connected with the first telescopic section through a steering telescopic joint; the motion assembly comprises a sparrow-pecking action mechanism and a reciprocating action mechanism, the power end of the sparrow-pecking action mechanism is detachably connected to the second telescopic section, and the power end of the reciprocating action mechanism is arranged at the execution end of the sparrow-pecking action mechanism; the moxibustion head is detachably connected to the execution end of the reciprocating action mechanism; at least one of the moxibustion head, the movement assembly and the telescopic assembly can be stored in the base, the physiotherapy instrument drives the moxibustion head to automatically achieve the physiotherapy means of a sparrow-pecking method and a reciprocating method through multiple actions of the movement assembly, and the physiotherapy instrument is closer to professional operation; the base not only has a supporting function, but also can at least accommodate part of components so as to reduce space occupation; the telescopic assembly, the movement assembly and the moxibustion head are detachably connected, dismounting and mounting are convenient, and the user experience is better.

The invention relates to the technical field of unmanned aerial vehicle path planning in a complex environment, and provides a complex environment unmanned aerial vehicle path planning method based on Chebyshev chaotic mapping sparrow optimization. Under the constraint of flight distance and height, a total cost function is constructed, Chebyshev chaotic mapping is utilized to initialize a sparrow population, population diversity is improved, global search and local development capabilities in an exploration rate balance position updating process are introduced, a producer and follower step length adjustment strategy based on the exploration rate is adopted, and a sparrow swarm optimization algorithm is established. According to the method, the self-adaptability of the step length in the position updating process of the producer and the follower is improved, the minimization of the total cost function is realized in the process from the early global search of the minimization of the total cost function to the later focusing local search, the optimal solution of the total cost function is sought, and the flight path which is short in distance, low in energy consumption and capable of avoiding the threat source is planned for the unmanned aerial vehicle.

1. Name of the product in this design: Copper relief craft (Two sparrows bringing good fortune). 2. Purpose of this design: for interior decoration. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key features: the front view.

The invention discloses a primer, a kit and a method for identifying species of a sparrow. The primer comprises a primer SEQ ID NO.1 and a primer SEQ ID NO.2 of a targeted COI region, a primer SEQ ID NO.1 and a primer SEQ ID NO.2 of a targeted COI region, and a primer SEQ ID NO.2 of a targeted COI region, the primers of the target D-loop region are shown in SEQ ID NO.3 and SEQ ID NO.4. The invention also discloses a kit for detecting the target D The invention also provides a corresponding kit and a method for identifying the species of the sparrow by using the primer. According to the specific PCR primer for the sparrow, a specific gene sequence of a targeted species is adopted, and accurate detection of DNA of the sparrow can be stably realized in a complex environment medium. The method has the advantages of being easy and convenient to operate, high in sensitivity, rapid in detection and the like, is suitable for scenes such as species identification and environmental DNA monitoring, provides a reliable technical means for ecological research, species protection and dynamic monitoring of the ecological environment of the sparrow, and has wide application prospects and practical values.

1. Name of the product in this design: Ceramic Teapot (Pastel Black Ground Sparrow Stone Ladle Teapot). 2. Purpose of this design: For holding liquids. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application provides a Hadoop parameter optimization method based on an improved sparrow search algorithm, and relates to the technical field of distributed computing. First, population parameters are set and the population is initialized, and the parameter value of each sparrow in the initialized population is taken as the value of the configuration parameter; a job is submitted to a Hadoop cluster, the execution time of the job is taken as the fitness of the sparrow, and each sparrow in the population is sorted according to the fitness value; the finder update formula is optimized, and the positions of the finder, the follower and the early warning person in the population are updated; the sparrow parameters in the iteratively updated population are taken as the configuration parameter values, the job is submitted to the Hadoop cluster again, the fitness of the sparrow in the population is obtained, and each sparrow in the population is sorted according to the fitness value; if the iteration termination condition is reached, the position vector of the sparrow with the optimal fitness in the current population is output as the optimal solution of the configuration parameter; if the iteration termination condition is not reached, the iteration is continued.

The application provides a farm load prediction method, device and equipment based on multi-source data, and relates to the field of power load prediction.The method comprises the following steps: obtaining historical load data, breeding animal growth data, environmental data and equipment data of a farm; decomposing the historical load data according to a variational mode decomposition algorithm to obtain a plurality of load components; wherein the variational mode decomposition algorithm optimizes parameters through a sparrow search algorithm, and the sparrow search algorithm establishes a fitness function about the load components according to the breeding animal growth data; after the plurality of load components, the breeding animal growth data, the environmental data and the equipment data are spliced, the spliced data is input into a preset Transformer model to obtain a power load prediction curve of the farm.The application can improve the accuracy and availability of the power load prediction result of the farm.

The utility model belongs to the technical field of machine manufacturing, and particularly relates to a chicken foot cutting table convenient to clean, which comprises a base, a cleaning mechanism is arranged at the top of the base, and a filtering mechanism is arranged on one side of the cleaning mechanism. The water pump in the cleaning mechanism can convey water to the hollow plate through the hose and the connecting pipe, and then the brush plate cleans the cutting table top on the net frame. By means of the design, automatic water spraying cleaning is achieved, compared with a traditional manual cleaning mode, manpower can be saved, the cleaning efficiency can be improved, and particularly under the conditions that the chicken foot processing amount is large and the cutting table needs to be cleaned frequently, impurities left on the table top in the cutting process can be rapidly and effectively removed.

1. Name of the product in this design: Pendant (Sparrow Screen Spreading Joy). 2. Purpose of this design: for wearing and decoration. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The top view is shown in other views, so the top view is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application relates to a sewage treatment process optimization control method based on a multi-objective sparrow algorithm, which comprises the following steps: adopting a least square support vector machine to establish a soft measurement model of total energy consumption and effluent water quality, and taking the soft measurement model as an optimization objective function; improving the sparrow algorithm from five aspects of population initialization, finder position updating, alarm position updating, optimal position disturbance strategy and external archive updating mechanism to obtain a multi-objective sparrow algorithm; optimizing the optimization objective function by using the improved multi-objective sparrow algorithm, obtaining a Pareto solution set, and optimizing the set values of dissolved oxygen concentration and nitrate nitrogen concentration; the scheme is improved according to the sparrow algorithm, and is applied to the sewage treatment process to optimize the set values of dissolved oxygen concentration and nitrate nitrogen concentration, so that the effluent water quality is improved and the energy consumption is reduced.

The invention provides a maximum power point determination method and device based on an improved sparrow search algorithm. The method comprises the following steps: acquiring operation data of a photovoltaic power generation system; based on Logistic chaotic mapping and operation data, determining positions of elite individuals in the sparrow population and fitness corresponding to the positions; executing the following iterative operations, and outputting the target fitness corresponding to the current optimal individual when the number of iterations reaches the set number of iterations; determining the maximum power point of the photovoltaic power generation system according to the target fitness; the iterative operation comprises the steps of updating positions of a plurality of common individuals except elite individuals in the sparrow population based on a cosine convergence factor, and determining fitness corresponding to the plurality of common individuals according to the updated positions; determining a target elite individual in the plurality of common individuals; the elite individual with the smaller fitness and the target elite individual are determined as the current optimal individual; and determining the sparrow population of the next iteration. Therefore, the determination precision of the maximum power point is improved.

1. Name of the product in this design: Comb (Sparrow's Song in the Clouds). 2. Purpose of this design: A comb for combing hair. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application discloses a short-term load combined prediction method based on adaptive chirp mode decomposition and SSA-BiLSTM, which comprises the following steps: S1, setting the sparrow population number of SSA, the proportion of sparrows with different task division and the maximum iteration number; S2, initializing the to-be-optimized parameters in the solution space; S3, training the sample by constructing a BiLSTM model corresponding to the parameter value, and calculating the fitness value; S4, updating the sparrow population position according to the fitness value output by the BiLSTM, obtaining a new solution, and transmitting the corresponding solution, i.e., the parameter value, to the BiLSTM for training; S5, repeating the step S2 and the step S3 until the maximum iteration number is reached and the iteration is completed; and S6, outputting the optimal parameter value combination and establishing an optimal BiLSTM prediction model. The short-term load prediction precision is effectively improved by solving the technical problems, such as slow convergence, complicated parameter adjustment, poor stability and low prediction precision, of the load prediction method in the prior art.

1. Name of the product in this design: Brooch (Auspicious Sparrow Embracing the Heart). 2. Intended use of this design: for wearing, decoration, etc. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product in this design: Hair clip (small bird beak pointed big tail clip). 2. Purpose of this design: For decorating and styling hair. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

A bearing fault detection method based on an improved sparrow search algorithm is proposed. In the population initialization stage, an improved Chebyshev chaotic map is introduced to increase the diversity of the population and improve the ergodicity of individual sparrows, so that the population can be distributed as evenly as possible in the search space, achieving better population initialization effect. An inertia weight is added to improve the update position of the discoverer to reduce the probability of falling into the local optimum too early. An adaptive selective mutation strategy is proposed to enable the sparrows to escape from the local optimum, avoiding the problem of falling into the local optimal solution that is prone to occur in existing technologies.

The present invention discloses an optimization method for an intelligent prediction model of electric load, comprising: establishing an intelligent prediction model, setting required optimization parameters and the optimization range of each parameter; initializing the parameters and population of a global sparrow optimization algorithm; iteratively updating the sparrow positions to obtain the optimal parameters; and applying the obtained optimal parameters to the intelligent prediction model for load prediction. The present invention initializes the population using a tent chaotic sequence, which can make the population more evenly distributed in the solution space and increase the global search capability of the population in the early stage; the present invention adds a step-size control factor, which gives the population a larger search range in the early stage of iteration, enhancing the global search capability in the early stage. As the number of iterations increases, the step-size control factor decreases, allowing for better local search and improving the convergence speed; the present invention improves the prediction capability of the model by optimizing the parameters of the intelligent prediction model.

The embodiment of the invention discloses a sparrow TaqMan real-time fluorescent quantitative PCR (Polymerase Chain Reaction) probe primer combination, a kit and application. Comprising a probe, an upstream primer and a downstream primer, the nucleotide sequence of the probe is 5 '-FAMTGAGCTGTAACTACTAC-MGB-3', the nucleotide sequence of the upstream primer is 5 '-CTTCCTAGGAGATGACCAAGTTTAC-3', and the nucleotide sequence of the downstream primer is 5 '-CAGTTTCCGAATCCTCCGATC-3'. The probe and the primer based on TaqMan real-time fluorescent quantitative PCR provided by the invention have the advantages of strong specificity, high sensitivity, good accuracy and simplicity and convenience in operation in the aspect of identifying sparrow species, meanwhile, the detection time is shortened, the detection cost is reduced, and a powerful technical support is provided for deeply exploring the fields of genetics, ecology and the like of sparrows.

The present application relates to the field of computer science and biological technology, and particularly relates to a method for detecting epistasis in GWAS data based on sparrow search algorithm, which comprises the following steps: loading GWAS data, calculating the maximum epistasis order and the maximum length of contingency table; initializing the position of sparrow population; calculating the fitness of sparrow in the population; updating the position of discoverer; updating the position of follower; generating new sparrow; screening sparrow in the population to detect epistasis; judging whether to fall into local optimum; and generating results. The above method can comprehensively evaluate SNP combinations related to disease state, improve analysis depth, automatically identify the order of epistasis interaction significantly related to disease state, and be more in line with actual demand; in iteration, new individuals are generated based on SNP weight vector, and SNP weight vector is updated in each iteration according to detection results to guide the evolution direction of the population; and the false positive problem in detecting epistasis interaction is solved.

The invention discloses a rolling bearing fault diagnosis method and system, and belongs to the technical field of fault diagnosis. The method comprises the following steps: acquiring a to-be-diagnosed rolling bearing vibration signal; inputting the to-be-diagnosed rolling bearing vibration signal into a pre-trained fault diagnosis model, and outputting a rolling bearing vibration fault diagnosis result; wherein the step of training the fault diagnosis model by using the improved sparrow search algorithm comprises the following steps of: obtaining an initial flight position of each sparrow in a sparrow population, and calculating an initial fitness value of each sparrow; in a preset search space, the flight positions of the sparrows are updated according to the Levy flight step length, and new fitness values of the sparrows after the flight positions are updated are calculated; and comparing the initial fitness value with the new fitness value, and taking the flight position corresponding to the sparrow with the optimal fitness value as a parameter of a fault diagnosis model to obtain a trained fault diagnosis model. The optimal network structure parameter can be accurately and quickly found, and the fault diagnosis performance is improved.

1. Name of the product in this design: Crafts (Shoushan Stone Carving - Plum Blossom and Sparrow Competing for Spring). 2. Purpose of this design: for decoration and ornamentation. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a job scheduling method which is applied to the field of financial science and technology. The job scheduling method comprises the steps that a plurality of jobs to be processed and a plurality of actuators of a bank are obtained, different jobs are different in complexity, and different actuators are different in performance of processing different jobs; determining a plurality of sparrows in a sparrow algorithm based on the plurality of jobs and the plurality of actuators, wherein the positions of the sparrows represent the distribution relation between one job and the actuator; determining the fitness of the sparrows based on a target function, wherein the target function is used for evaluating the resource utilization rate when the actuators execute the jobs; iteratively updating the positions of the sparrows according to the fitness of the sparrows until a termination condition is met; and according to the optimal sparrow positions of the sparrows when the termination condition is satisfied, scheduling the plurality of jobs to corresponding actuators for processing. The invention further provides a job scheduling device, electronic equipment, a storage medium and a program product.

The utility model relates to the technical field of medical instruments, and provides a moxibustion therapy device for sparrow-pecking moxibustion and rotary moxibustion, which comprises a supporting seat, a suspension frame, a sparrow-pecking moxibustion component and a rotary moxibustion component, one end of the suspension is detachably fixed on the supporting seat, the other end of the suspension is provided with two liftable supporting arms, the tail ends of the supporting arms can be adjusted in the upward, downward, leftward, rightward, forward and backward directions, and the spatial positions of the tail ends of the supporting arms can be kept after adjustment is stopped; the sparrow-pecking moxibustion assembly is detachably arranged at the tail end of one supporting arm; the rotary moxibustion assembly is detachably arranged at the tail end of the other supporting arm. According to the utility model, the sparrow-pecking moxibustion component and the rotary moxibustion component are simultaneously arranged on the same device, so that the treatment of sparrow-pecking moxibustion and rotary moxibustion can be simultaneously carried out on the same patient, the treatment of sparrow-pecking moxibustion and rotary moxibustion can also be independently carried out, the operation of multiple persons is not needed, the manpower is saved, the moxibustion curative effect rate is improved, the time is saved, the universality is good, and the practicability is strong.

The invention belongs to the technical field of generalized predictive control, and discloses a wind tunnel directly-heated heater GPC parameter setting method based on an improved sparrow algorithm. The setting method comprises the steps that a sparrow population is initialized, and a to-be-set parameter search space is defined; defining the maximum number of iterations, and determining the proportion of a discoverer, a follower and a warning person in the sparrow population; defining a system expected output temperature; initial control parameters are input into the GPC controller, a mathematical model of the directly-heated heater of the wind tunnel is established, and the controller is used for simulating an operation control system; the real-time acquisition system outputs and calculates performance indexes, and individual fitness values of sparrows are calculated according to the performance indexes and sorted; fusing the improved sparrow algorithm with a sparrow position updating formula, performing iterative updating according to the improved position updating formula, updating an individual fitness value, and recording a current iterative optimal individual and an optimal fitness value; and outputting the GPC optimal parameter group. The setting method reduces the blowing test cost and has engineering practical value.

1. The name of this design product: Packaging box (with golden pattern of sparrow feathers). 2. Purpose of this design product: used for packaging articles. 3. The key design points of this design product lie in the shape, pattern and their combination. 4. The picture or photo that best illustrates the key points of the design: main view.

1. Name of the product in this design: Ceramic Cup (Pastel Black Ground Sparrow Bud Cup). 2. Purpose of this design: For holding liquids. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom view of this design product has been shown in perspective view 2, so the bottom view is omitted.

The present invention provides a method for constructing a high arch dam stress prediction model based on monitoring data, comprising: establishing a LightGBM high arch dam stress prediction model based on monitoring data from a high arch dam without stress gauges and a strain gauge group; employing Tent chaos mapping and a refraction reverse learning strategy to enhance the diversity and quality of the initial sparrow population, and enabling sparrows to jump out of the local optimal position based on adaptive t-distribution variation, thereby improving the global search capability of the sparrow search algorithm; optimizing and analyzing the LightGBM model using an improved sparrow search algorithm to determine the optimal hyperparameter combination, and introducing the SHAP framework for interpretable black box models to establish an interpretable high arch dam stress prediction model. The high arch dam stress prediction model of the present invention, which integrates the improved sparrow search algorithm, LightGBM, and SHAP, can accurately predict high arch dam stress, identify significant features that affect high arch dam stress, and provide a decision-making basis for high arch dam health monitoring and diagnosis.

The present invention relates to a temperature prediction method applicable to a tokamak cryogenic liquid helium temperature zone host, comprising the following steps: establishing a data set, performing normalization processing, and obtaining a pre-processed training set and test set; determining the structure of a BP neural network model; training the BP neural network model; optimizing the trained BP neural network model using a particle swarm algorithm; substituting the optimized weight threshold into a sparrow algorithm and calculating the fitness function f of the sparrow algorithm; using the sparrow population corresponding to the optimal value of the fitness function f as the optimal number of hidden layer nodes and weight threshold of the BP neural network model; training the BP neural network model using the optimal number of hidden layer nodes and weight threshold, and outputting a prediction result. The present invention optimizes the weights and thresholds of the BP neural network by hybridly utilizing the sparrow algorithm and the particle swarm algorithm, thereby improving prediction accuracy and stability in low-temperature environments and enabling simple and effective prediction of ultra-low-temperature environments.

The utility model relates to a ZB28 packaging machine trademark gluing roller coupler. The ZB28 packaging machine trademark gluing roller coupler comprises a clamping tenon male opening and a clamping tenon female opening. A bearing is further included. The tenon male opening and the tenon female opening are in a flat cylinder shape, and connecting through holes are formed in the centers of the tenon male opening and the tenon female opening and used for being connected with a rotating shaft. Threaded holes are symmetrically formed in the side surface of the clamping tenon male opening along the circle center, screws used in cooperation with the threaded holes are arranged, the screws penetrate through the bearing and then are screwed into the threaded holes, and the bearing can be fixedly installed on the clamping tenon male opening. Butt joint openings are formed in the positions, corresponding to the threaded holes, of the circumference of the clamping tenon female opening; after the clamping tenon male opening and the clamping tenon female opening are coaxially clamped and installed, the bearing is located in the butt joint opening. According to the utility model, the tenon male opening and the tenon female opening are flexibly connected, and the bearing is used at the joint to form certain mobility at the butt joint position, so that the gluing reliability of continuous operation of the rubber roller is improved, the shutdown maintenance frequency is reduced, and the gluing quality defect occurrence rate is reduced.