56results about How to "Preserve diversity" patented technology

The invention discloses a method and a device for estimating the state of charge of a battery. The method comprises the following steps: fitting the pre-acquired discharge experiment data under different rates to obtain a function relationship between the discharge rates of the battery and the actual effective capacity values of the battery, establishing the state space model of a battery system by use of the function relationship, and determining the state of charge (SOC) of the battery in a genetic resampling particle filtering manner in the state space model. The state space model comprises the state equation for identifying the state of charge (SOC) of the battery and an observation equation. According to the method, the SOC is estimated in the particle filtering manner, the advantages of particle filtering in solving nonlinear problems are utilized thoroughly, and the problem of particle degeneracy of the particle filtering algorithm is inhibited by virtue of resampling; furthermore, the genetic algorithm is introduced in the resampling process so that the diversity of particles can be remained and the SOC estimation accuracy can be effectively improved.

The invention relates to a high-light transmittance flexible touch material and a making method thereof. The high-light transmittance flexible touch material comprises a plastic substrate and a semi-transparent resin layer with a hemispherical surface, wherein the light transmittance of the plastic substrate is greater than 60%; the semi-transparent resin layer with the hemispherical surface is fully or partially arranged on the plastic substrate, the ratio of the exposed diameter dp of the protruded hemisphere to the average space Sm of protruded points is 0.1-0.8, and the integral light transmittance of the material is 10%-50%. The making method comprises the following steps of: selecting a high-light transmittance substrate and fully coating or partially printing one semi-transparent resin layer, wherein the surface of the semi-transparent resin layer is provided with hemispherical elastic granules; controlling the hemispherical elastic granules to ensure that the ratio of the exposed diameter dp of the protruded hemisphere to the average space Sm of the protruded points is 0.1-0.8 and the integral light transmittance of the material is 10%-50%. The method can improve the light transmittance of the flexible touch material, and back patterns of the flexible touch material are clear and visible, and the method can obtain the effect of simultaneously improving touch, decoration and information identification.

The invention provides an adaptive state early warning system and method of working conditions of an oil transmission pump. The method comprises steps of carrying out online acquisition on characteristic parameters of operation working stations and deterioration states of the oil transmission pump, wherein the characteristic parameters comprise working condition characteristic parameters and deterioration state representation parameters; carrying out related analysis on the deterioration state representation parameters to acquire related coefficients between the deterioration state representation parameters; according to the related coefficients and the working condition characteristic parameters, dividing the working conditions of the oil transmission pump into multiple working condition sub-spaces, determining deterioration state representation signals of the working condition sub-spaces from history operation data of the oil transmission pump, and carrying out characteristic extraction and fusion on the deterioration state representation signals to acquire a deterioration evaluation index in each working condition sub-space; and according to the deterioration evaluation index in each working condition sub-space, predicating a deterioration state value in each working condition sub-space of the oil transmission pump in real time, comparing the deterioration state values with a corresponding alarming threshold and if the deterioration state values exceed the alarming threshold, outputting corresponding alarming information. According to the invention, deterioration states of the oil transmission pump can be precisely predicated under variable operation working conditions.

The invention provides a particle filter weight processing and resampling method based on an FPGA. The particle filter weight processing and resampling method has the advantages that on one hand, a weight normalization process is abandoned, parallelization sorting processing is carried out on weights, all particles can be compared and exchanged by M / 2 comparators and controllers within one period, and the comparison and exchanging efficiency of a sort algorithm is improved; on the other hand, a threshold value of a resampling part is set according to permutation distribution of the weights, the large-weight particles, the middle-weight particles and the small-weight particles are determined through Nh and N1, and the threshold value is not a preset threshold value. The large-weight particles and the middle-weight particles are reserved in the resampling process, the small-weight particles are eliminated, the weights and the position information of the large-weight particles are input into an FIFO, one circuit of the weights and the position information are output through an FIFOOUT to replace a weight of a small-weight particle register, the other circuit of the weights and the position information are input into the FIFO, and the function of copying the large-weight particles is achieved. By means of the particle filter weight processing and resampling method, the accuracy of target position calculation, the diversity of particle samples and the high particle replacement efficiency in the hardware environment are guaranteed.

The invention discloses a calculation unloading distribution method of an edge server. The method comprises the following steps of: constructing a to-be-optimized vector according to the proportion oftasks executed by each user terminal on an edge server in the tasks of the user terminal; utilizing a first target sub-function, a second target sub-function and a third target sub-function to construct a target optimization function, wherein the first target sub-function is the sum of the calculation time of locally executing tasks on all user terminals and the calculation time of executing tasks on the edge server, the second target sub-function is the sum of the energy consumption of locally executing the tasks on all the user terminals and the energy consumption of executing the tasks onthe edge server, and the third target sub-function is the sum of the charges generated by executing the tasks on the edge server; and solving the optimization value of the to-be-optimized vector by utilizing the target optimization function, and correspondingly configuring the proportion of the tasks executed by each user terminal on the edge server in the tasks of the user terminal according to the optimization value of the to-be-optimized vector.

The invention relates to a device and method for preparing a biochar-mediated solid biofilm MFC accelerator. The device comprises a microbial fuel cell unit, a heating unit and a vacuum freeze-dryingunit. An anode chamber of the microbial fuel cell unit comprises an anode chamber a region and an anode chamber b region which are separated by a filter plate, and the filter plate is provided with equally spaced sieve holes and a brushed scraper. The present invention also discloses a method for preparing the MFC accelerator by using the device. The preparation of the biochar-mediated solid biofilm MFC promoter is effectively realized, the oxygen-free operation of the preparation process is ensured, the provided preparation device has the advantages of simple and compact structure and convenient operation and plays a positive role in shortening an MFC startup time, rapidly enriching and stabilizing anode chamber microorganisms, effectively improving the sufficiency of MFC organic matter degradation and the efficiency of the conversion of chemical energy into electrical energy in an organic matter, reducing the internal resistance of a battery, and improving the efficiency of electricity generation.

The invention relates to a biochar-mediated solid biofilm anaerobic digestion promoter which comprises the following components: ferrous sulfate, cobalt chloride, nickel chloride, composite vitaminsand an anaerobic digestion solid biofilm. The anaerobic digestion solid biological membrane is prepared by freeze-drying biochar subjected to anaerobic digestion domestication and a biological membrane on the biochar. The invention also discloses a preparation method of the biochar-mediated solid biological membrane anaerobic digestion promoter. The anaerobic digestion promoter disclosed by the invention has the advantages of long effective service life, convenience in storage and transportation and simplicity and quickness in operation. When the anaerobic digestion promoter is added into an anaerobic digestion reactor, anaerobic digestion can be rapidly started, microorganisms can be rapidly enriched and stabilized, the sufficiency of anaerobic digestion organic matter degradation can beeffectively improved, the hydraulic retention period can be shortened, and the methane yield can be increased.

The invention relates to the technical field of molecular biology and particularly relates to a novel methylation library-establishing kit and an application thereof. The novel methylation library-establishing kit at least comprises a bisulfate conversion reagent, a sticky end joint, ligase, a DNA extending reagent and a DNA amplifying reagent. The novel methylation library-establishing kit can beapplied to a sample with a low initial mass (as low as 6pg) and suitable for genome DNA with relatively poor mass extracted from FFPE samples and the like, so that the loss of sample information caused by DNA breakage during drug treatment is greatly reduced; and a double-chain DNA joint with a sticky end can be directly introduced by virtue of relatively economic and practical common ligase, sothat the accuracy of data can be improved, the diversity of samples can be preserved to a great extent, and the library deviation property caused by human factors can be reduced.

The invention relates to the technical field of molecular biology and in particular relates to a novel DNA library construction kit and an application thereof. The DNA library construction kit provided by the invention comprises an adhesive end joint, a ligase, a DNA extension reagent and a DNA amplification reagent. The DNA library construction kit disclosed by the invention can be applied to a sample with low initial mass and can directly mediate the connection of DNA and the joint by a common ligase; and compared with previous methods, the kit has the advantages that the connection efficiency of samples is greatly increased, the diversity of the samples are retained to the greater extent, the stability is good, and library bias caused by artificial factors is shortened.

The invention relates to the technical field of molecular biologics and specifically discloses a library establishing method for unicellular RRBS sequencing and an application thereof. The library establishing method for unicellular RRBS sequencing, disclosed by the invention, comprises the following steps: (1) performing digestion, terminal filling, A and joint adding and bisulfate conversion on genomic DNA of a sample in turn; (2) performing linear amplification on the genomic DNA converted in the step (1); (3) performing index amplification on the amplicon subjected to linear amplification in the step (2), wherein the amplicon of the index amplification is used for sequencing the library. The DNA required by the sequencing according to the method is low in initial mass; methylation sequencing can be performed on the genome of a single cell; the method contains an effective library segment control step; the segment of the end product is controlled according to the linear amplification step; complex operation is avoided while the coverage rate is increased.

The invention belongs to the technical field of bridge and road crack recognition, and discloses an improved semantic segmentation network construction method and system for bridge and road crack recognition. According to the method, a convolution block, a down-sampling layer and an up-sampling layer in a UNet network are improved, a novel space-channel attention mechanism is introduced, jump connection and a U-shaped structure in the UNet network are reserved, an improved semantic segmentation network is constructed, and crack recognition is carried out. According to the invention, a highly-specific crack semantic segmentation network model with stronger generalization ability and higher precision is designed, on CRACK500, SDNET2018 and CFD public data sets, IoU is 73.3%, F1 reaches 82.6% and is far higher than that of other models, and the method is suitable for detecting cracks on bridge body structures such as road surfaces and bridge towers of bridges.

The invention is suitable for the field of machine learning and medical image processing technology, and provides a thresholding method based on weight distribution. The method comprises the followingsteps of S1, dividing a training set sample to two sample sets based on a class label, namely a patient set and a normal person set; S2, for aiming at all samples in the two sample sets, using a Pearson correlation coefficient between time sequences of brain regions as a connecting weight, and constructing a brain network adjacent matrix; and S3, based on the function connecting distribution difference of the two sample sets, constructing a threshold for aiming at each brain region. Through each function connection in the network, the weight distribution is used for adaptively constructing anoptimal threshold, thereby constructing different thresholds for the function connection between different brain regions, thereby constructing a threshold matrix for the whole brain network, thresholding the brain network, keeping function connection diversity between the different brain regions, and settling defects in a single threshold or percentage method.

The invention discloses a preparation method of an active compound microbial agent and a derivative microecological product thereof and application of healthcare food, healthcare products or drug having functions of lowering blood lipid and assisting in weight reduction in lowering blood lipid and preventing and treating related diseases like obesity and cardiovascular and cerebrovascular diseases. Active compound microbial strains are all from various natural strains of healthy people. According to a biological information analysis and management platform, an active compound microbial strainformula is optimized and improved to obtain the high-quality active compound microbial agent and a derivative thereof; harm caused by adding chemical reagents is avoided; the active compound microbialagent has efficacy of retaining diverse symbiotic flora functions of intestinal tract and regulating flora balance and fat metabolism; the problem of conventional unitary production processes is solved, a new path is provided fir high-value production of micro-ecological products, industrial blank is filled, and the active compound microbial agent has good application prospect; scientific conclusions closely related to diseases like gastrointestinal micro-ecological disorder and obesity and cardiovascular and cerebrovascular diseases are applied and improved.

The invention discloses a short-term household electrical load prediction method and system, a storage medium and equipment. The method comprises the following steps: determining the architecture of a BP neural network, and selecting a training set sample, a test set sample and related parameters; then initializing the particle swarm; determining a particle individual historical extreme value and a group historical extreme value according to the initialized parameters; updating the position and the speed of the particle according to the fitness value F obtained by calculation, and completing iteration when a preset error range is reached or the maximum number of iterations is completed, at the moment, the gbest position being the optimal weight and threshold; performing BP neural network training on the obtained optimal weight and threshold; and comparing the actual load value with the predicted load value, calculating an average relative error of the prediction day, stopping iteration and ending training when the average relative error meets a preset error allowable range, and outputting a prediction result through error judgment to complete load prediction. The structure is simple, and the reliability of the prediction result is enhanced.

The invention provides a production scheduling method and system based on a hybrid parallel inheritance and variable neighborhood algorithm, a storage medium and electronic equipment, and relates to the field of production scheduling. The method includes: adopting a heuristic algorithm to obtain each workshop production scheduling scheme of each individual in an initialized population, and taking the individual with the highest fitness value as a global optimal solution; searching a new solution in a neighborhood structure; the updated global optimal solution is migrated to each sub-group; according to the updated fitness value of the individual in each sub-group, adopting a selection operator, a crossover operator and a mutation operator to obtain a next-generation sub-group; and selecting an individual with the highest fitness value in the current group, and updating the globally optimal solution. An approximate optimal solution is found through iteration of mixed coarse-grained parallel inheritance and a variable neighborhood search optimization algorithm, the premature phenomenon of a genetic algorithm is avoided, and the convergence degree of the algorithm is increased; the efficiency improvement caused by the machine processing deterioration effect and the resource investment is considered, and the problems of production scheduling decision and resource configuration decision are considered.

The invention discloses a lithium battery core and surface temperature estimation method based on filtering, and belongs to the technical field of state estimation. According to the method, iteration of a system state is carried out by using a filtering method, prior distribution of system noise and disturbance does not need to be known in advance, and the applicability of a state variable method is improved; in a state variable iteration process, each particle in particle filtering is wrapped by using a multi-cell body, iteration of the particle filtering particles and iteration of a space body are synchronously carried out, and region limitation is performed on a diffusion range of the particles by using the multi-cell body, so that the distribution of the particles is closer to a real value and is denser; and the dense distribution of the particles means that the weights of the particles are closer, the number of the particles with small weights is smaller, the particles are prevented from being replaced in the resampling process, the diversity of the particles is reserved, and then the problem that the system robustness is poor due to particle shortage in the traditional particle filtering algorithm process is solved.

The invention relates to the technical field of molecular biology and in particular relates to a novel DNA library construction method and an application thereof. According to the DNA library construction method disclosed by the invention, an adhesive end joint can be directly mediated by a common ligase to be connected to a single-stranded DNA denatured from a sample genome DNA; the novel DNA library construction method can be applied to a sample with low initial mass; and compared with previous methods, the novel DNA library construction method has the advantages that the connection efficiency of samples is greatly increased, the diversity of the samples are retained to the greater extent, the stability is good, and library bias caused by artificial factors is shortened.

The invention relates to a biochar-mediated solid biofilm anaerobic digestion accelerator preparation device and a method thereof. According to the biochar-mediated solid biofilm anaerobic digestion accelerator preparation device, a structure mainly comprises a rotating drum, a biogas liquid chamber, a biofilm culture chamber, an outer chamber, a constant-temperature heater and a vacuum freeze dryer; the rotating drum is located in the biogas liquid chamber; the biogas liquid chamber and the biofilm culture chamber are separated by a partition plate, a biogas liquid gate is arranged thereon, ajacket is formed with the outer chamber, and heating is carried out by the constant-temperature heater; and a biofilm gate is disposed between the biofilm culture chamber and a vacuum lyophilizer. The device effectively realizes the preparation of the biochar-mediated solid biofilm anaerobic digestion accelerator, and ensures the oxygen-free operation of the preparation process, the preparation device has the simple and compact structure, the operation is convenient, the device has the positive effect on rapid start of anaerobic digestion, rapid enrichment and stabilization of microorganisms,and effective improvement of the sufficiency of organic matter degradation, shortening of the hydraulic retention period, and increasing of film production.

The invention relates to a teaching content configuration and interaction scheme implementation method suitable for AR education application. Firstly, a system developer designs an interaction scheme at a client in advance, then a teacher configures and standardizes teaching contents at a server through a Web page, and finally sends teaching data to the client, the client adopts the corresponding interaction scheme to implement, and a virtual scene generated by rendering is submitted to students to use. According to the invention, the architecture of the client / server and the idea of augmented reality education application are adopted, the teaching content is configured through the webpage of the server, and the interaction scheme is implemented at the client, so that a set of augmented reality scene for students to learn is presented; finally, the augmented reality courses learned by the students are autonomously designed and managed according to the willingness of the teacher.

The invention discloses an extracting method for a total DNA of a termite alcohol sample enteric microorganism genome. Termite tissues soaked with alcohol are softened again by a Tris-EDTA solution, intestinal tissue epidermis is oscillated and broken at low speed by a tissue homogenizer to release enteric microorganisms, cell walls of bacteria are treated by lysozyme, microbial cells are fully split with the aid of protease K and SDS, DNA is released fully, and finally, the extracting method is used with a DNA extracting universal kid. Therefore, by the extracting method, the problems that byan existing method, complete intestinal structures are difficultly obtained from termite alcohol samples, due to diversity of intestinal microbes, splitting of microbial cells is incomplete, and DNAreleasing efficiency is low are solved. By the extracting method, abundance and diversity of termite alcohol sample enteric microorganisms are retained to a maximum degree, and therefore, quality andcompleteness of extraction of total DNA of communities are improved.

The invention relates to the technical field of molecular biology and in particular relates to a novel methylation library construction method and an application thereof. The novel methylation libraryconstruction method provided by the invention is suitable for single-strand connection, amplification or library construction of a DNA sample treated by using bisulfite. Due to the adoption of a method for bisulfite treatment and then adhesive end joint connection, sample information loss caused by DNA breakage resulted from drug treatment is greatly reduced.

The invention provides an in-situ water body remediation material adopting natural minerals. The in-situ water body remediation material adopting natural minerals is prepared from raw materials as follows: volcanic ash, dolomite, clinoptilolite, rock-forming minerals and clay minerals with high ion substitution capacity. The prepared in-situ water body remediation material adopting the natural minerals can be completely applied to pollution treatment of rivers, lakes and other water bodies and can decompose pollutants in various water bodies and notably reduce the turbidity. Green algae, red tide and eutrophication of the water bodies are effectively prevented, the water quality and the habitat environment of aquatic organisms are improved, the biodiversity is kept to the greatest extent,and the in-situ water body remediation material has the characteristics of being energy-saving, environmentally friendly, remarkable in effects, free from secondary pollution, capable of taking effectrapidly, wide in application range, convenient to use and free from restriction by environmental conditions.

The invention relates to an upper limb posture recognition algorithm based on a genetic algorithm for super-parameter optimization. At that move end, the upper limb posture movement is collected, andthrough the analysis of the collected data, six kinds of motion information are identified. The upper limb posture data are time series, time window length, data overlap rate and the number of hiddenneurons, which will affect the accuracy of recognition. Therefore, a genetic algorithm is used to optimize the super-parameters and find the most appropriate set of solutions. The traditional geneticalgorithm is slow and easy to fall into the local solution, the invention sorts the population according to the fitness function, the sorted populations are divided into four parts, namely, Top, Best,Normal and Worse. All the good populations are selected and the best, Normal and Worse populations are selected proportionally. After selection, the inadequate populations are randomly generated to ensure that the number of population remains unchanged in each round. The invention accelerates the speed of parameter optimization, and simultaneously finds the global optimal solution.

The invention relates to the internet of things technology, and discloses an image segmentation method comprising the following steps: using a pre-constructed image segmentation model comprising multi-scale convolution kernels and multi-voidage void convolution to carry out feature extraction on a to-be-segmented image to acquire a feature map; splicing the feature map and executing up-sampling operation to obtain a restored image; and performing pixel segmentation on the restored image by using an image segmentation algorithm to obtain a segmented image. The invention further provides an image segmentation method and device, electronic equipment and a computer readable storage medium. According to the invention, the problem of low accuracy of the segmentation result of the traditional segmentation network can be solved.

The invention discloses a domestication and breeding technology of sinocyclocheilus huizeensis. The method comprises the steps as follows: (1) construction of a domestication pond: a domestication field with underground spring water as a water source for construction of the domestication pond; (2) domestication of parent fish: sinocyclocheilus huizeensis in a cold water cave of Huize county Bridgeis selected as parent fish, and the parent fish is transported to the domestication pond by an oxygen bag after collection for domestication; (3) artificial spawning induction: after the parent fishis domesticated in the domestication pond for 3-4 years, parent fish with mature gonad can be selected for artificial spawning induction; (4) artificial fertilization; (5) debonding: after the artificial spawning induction, yellow mud water is poured into a basin to perform debonding treatment on fertilized ova, and the fertilizer ova are rinsed with clear water after debonding treatment; (6) artificial incubation: the debonded fertilized ova are drifted and hatched by a running water incubator. The technology protects natural populations, reduces the catching amount of parent fish, can increase the ovum fertilization rate and hatching rate of the sinocyclocheilus huizeensis and the survival rate of fries and realizes large-scale culture of the sinocyclocheilus huizeensis.

The invention discloses a robust federated learning method for processing heterogeneous noise and non-independent identically distributed data, and belongs to the technical field of federated learning. The method provides a robust learning framework of two-stage client quality perception. The method comprises the following steps of: 1, constructing a category-level loss vector and clustering by using a Gaussian mixture model, and accurately dividing a clean and noise client set; stage 2, performing differential training: performing standard training on the clean client; dual-network cooperative training, dynamic sample screening and exchange, and a self-distillation and entropy regularization mechanism are introduced to a noise client, so that robust learning is realized; in the global aggregation stage, a distance sensing weighting strategy is further adopted to dynamically suppress the influence of a noise client; according to the method, original data does not need to be shared, the robustness and generalization performance of the federated learning model in the coexistence environment of heterogeneous noise and non-independent identically distributed data can be effectively improved, and the method has wide application value in the fields of medical images, financial risk control and the like.

The invention discloses a phycomycete crust cultivation method suitable for calcareous sand soil of a South China Sea coral island reef. According to the phycomycete crust cultivation method suitable for the calcareous sand soil of the South China Sea coral island reef, an in-situ phycomycete crust is directly propagated and domesticated, and the cultivated phycomycete crust is directly inoculated in the field, so that the separation and purification process is omitted, the culture speed is high, the material consumption is reduced, the field adaptive capacity of the artificially cultivated phycomycete crust is improved, and the phycomycete crust cultivation method has an important application value for ecological system restoration of the South China Sea coral island reef.

The invention relates to a vehicle position routing method based on a non-dominated sorting particle swarm genetic algorithm, and belongs to the technical field of artificial intelligence automatic driving. According to the non-dominated sorting particle swarm genetic algorithm mixed with global and local search, the change operator of the particle swarm algorithm and the change operator of the genetic algorithm are used for performing population evolution at the same time, the search capability is improved, and the convergence speed is increased. And individuals entering the next generation are selected by using a selection mechanism of an NSGA-III algorithm, so that population diversity is realized. Neighborhood search is used as local search, a better solution can be obtained with a higher probability, convergence is accelerated, and the algorithm is prevented from falling into a local optimal solution in the later period; the proportion of Pareto non-dominated solutions of the whole population can be improved through local search of the suboptimal individuals, the quality of the whole population solutions and the diversity of the Pareto non-dominated solutions are improved, and the convergence speed is further increased. The effectiveness of the method in solving the vehicle position routing problem is better than that of the existing method.

The invention relates to a battery health state estimation method based on semi-supervised regression and cooperative training, and belongs to the technical field of batteries. The method comprises the following steps: S1, collecting operation data of the electric vehicle, and establishing a battery operation database; s2, calculating a battery health state label by adopting an ampere integral formula and an open-circuit voltage correction strategy; s3, extracting a health index set highly related to the state of health of the battery based on the Pearson correlation coefficient and the gray correlation gradient index; s4, according to the selected health index set, utilizing semi-supervised cooperative training to estimate a pseudo label of unmarked data so as to enhance a training data set, and constructing a battery health state estimation model based on a multi-layer perceptron; and S5, taking the test data from which the health index set is extracted as input of a battery health state estimation model to obtain an estimated battery health state. According to the method, the battery health state estimation precision under the condition of limited mark data is improved.

The invention provides a free-collapsed warp-knitted jacquard fabric and a manufacturing method. The free-collapsed warp-knitted jacquard fabric comprises a mesh fabric body formed by integral warp knitting, wherein the mesh fabric body is composed of a transparent mesh jacquard surface layer, a collapsed layer, a pattern multi-color jacquard layer, a pile height layer and a bottom layer from top to bottom; the transparent mesh jacquard surface layer is composed of two semi-number jacquard guide bars JB2 and JB3; the collapsed layer is composed of four semi-number jacquard guide bars JB2 and JB3 andjacquard guide bars JB4 and JB5 which are matched with each other; and the pattern multi-color jacquard layer is composed of two semi-number jacquard guide bars JB6 and JB7 which are used for jacquard on the transparent mesh jacquard surface layer and the pile height layer. According to the free-collapsed warp-knitted jacquard fabric and the manufacturing method provided by the invention,the jacquard mesh fabric with high performance and unique appearance patterns can be produced by combining a two-needle-bar three-jacquard machine with the guide bar empty threading change and matching the pattern design with the chemical fiber yarns.