3826 results about "Pruning" patented technology

A method, a system, and a computer program product implements traffic shaping by processing as a synchronous request, tasks representing one or more units of work contained within the request. Before a request is sent through the network, the request is inspected in order to derive the amount of work that the request would generate in the network. A traffic manager queries the amount of work in that request compared to the amount of work that the network can support and generates a number of traffic envelopes. Based on the results of this query, “task pruning” may be implemented to break the request into smaller manageable task that fit into the traffic envelopes. Task pruning may also enable only a subset of the work to be performed. Thus, a measure of the amount of work, rather than the amount of data, within a request is considered when scheduling the request.

The present invention provides, among other things, automatic identification of near-redundant units in a large TTS voice table, identifying which units are distinctive enough to keep and which units are sufficiently redundant to discard. According to an aspect of the invention, pruning is treated as a clustering problem in a suitable feature space. All instances of a given unit (e.g. word or characters expressed as Unicode strings) are mapped onto the feature space, and cluster units in that space using a suitable similarity measure. Since all units in a given cluster are, by construction, closely related from the point of view of the measure used, they are suitably redundant and can be replaced by a single instance. The disclosed method can detect near-redundancy in TTS units in a completely unsupervised manner, based on an original feature extraction and clustering strategy. Each unit can be processed in parallel, and the algorithm is totally scalable, with a pruning factor determinable by a user through the near-redundancy criterion. In an exemplary implementation, a matrix-style modal analysis via Singular Value Decomposition (SVD) is performed on the matrix of the observed instances for the given word unit, resulting in each row of the matrix associated with a feature vector, which can then be clustered using an appropriate closeness measure. Pruning results by mapping each instance to the centroid of its cluster.

The present invention relates to the field of deep learning techniques, in particular to a deep convolution neural network training method and a device. The deep convolution neural network training method and the device comprise the steps of a, pretraining the DCNN on a large scale data set, and pruning the DCNN; b, performing the migration learning on the pruned DCNN; c, performing the model compression and the pruning on the migrated DCNN with the small-scale target data set, In the process of migrating learning of large-scale source data set to small-scale target data set, the model compression and the pruning are performed on the DCNN by the migration learning method and the advantages of model compression technology, so as to improve the migration learning ability to reduce the risk of overfitting and the deployment difficulty on the small-scale target data set and improve the prediction ability of the model on the target data set.

The invention relates to a method for cultivating tea, particularly the method for organically cultivating tea, which comprises the following processes: (I) establishing an artificial complex ecological organic tea garden; (II) selecting tea seeds of the organic tea garden; (III) planting tea; (IV) seedling stage management; (V) soil management of the organic tea garden; (VI) nutrient management and utilization of the organic tea garden; (VII) pest control of the organic tea garden; (VIII) tea pruning of organic tea. The method for cultivating tea has the following positive effects that: as the organic tea is the inevitable trend of future tea production, the invention regulates organic planting of tea in China and promotes the large-scale development of tea producing areas toward harmlessness and organification; the method for cultivating tea does not rely on advantage factors of microecological nature of producing areas, makes full use of modern technical achievements and has strong technical operability, thereby ensuring the quality of the organic tea.

A method, system and computer program product for generating answers to questions. In one embodiment, the method comprises receiving a query, conducting a search through one or more data sources to identify candidate answers to the query, and providing each of the candidate answers with a preliminary score. The method further comprises filtering out any of the candidate answers with a preliminary score that does not satisfy a defined condition. The candidate answers having preliminary scores that satisfy this condition form a subset of the candidate answers. Each of the candidate answers in this subset is processed to produce further scores. A ranking function is applied to these further scores to determine a ranking for each of the candidate answers in the subset; and after this ranking function is applied, one or more of the candidate answers are selected as one or more final answers to the query.

A method and computerized system is disclosed for managing the underwriting, quoting and binding an insurance policy with regard to the technology used to militate against the financial consequences of property losses. The invention utilizes a classifier for categorizing and weighing risk, composed of data representing in an identified building, a first unmitigated insurance risk and a second insurance risk, based upon the use of certain technology. A plurality of such weights are summed such that the weights generate a minimized risk for a building structure under consideration. combinations of technologies, employed in existing building structures to a classification, which then permits an underwriter to establish a premium. In another aspect of the invention data structures representing the quantification of risk reduction attendant a given technology or product are chained into a plurality of decision trees that process a construction phase and a pruning phase.

A five-degree of freedom green fence pruning machine comprises a pruning manipulator posture adjusting platform installed in front of a bearing cart, a rotation base which is installed on the pruning manipulator posture adjusting platform and is capable of revolving 360 degrees, an elevating mechanism which is fixedly installed on the rotation base, a telescoping mechanism which is fixed on an elevating rack of the elevating mechanism and is capable of ascending and descending along with the elevating rack, a pruning bit rotating device which is fixed at the front end of the telescoping mechanism and is capable of driving a pruning bit to rotate 360 degrees, a vertical lifting mechanism which is installed on the pruning bit rotating device, a pruning bit inclination-degree adjusting joint which is fixed at the lower end of the vertical lifting mechanism and is capable of ascending and descending along with the vertical lifting mechanism, and the pruning bit which is installed on an output shaft end of the pruning bit inclination-degree adjusting joint. By the pruning machine, the pruning of a plurality of mold modes of road green belts and garden sightseeing trees can be realized, a pruning process is completed automatically, the pruning machine is high in automation degree and simple in mechanical structure, the labor intensity of pruning green fences can be reduced, and work efficiency is improved.

The present invention provides a fruiter cut concrescence protectant, belonging to foliage cut concrescence protectant technology field, the aim is to solve the problem of the existing technology that fruiter cut concrescence is slow, it is easy to be damaged by insect so as to affect fruiter growth. The protectant of the present invention comprises: forming-film bond, nutrition agent, regulator, insecticide, antiseptic and booster, their weight mixing ratio is 10 to 20 shares, 2 to 20 shares, 0.1 to 1.0 share, 5 to 18 shares, 5 to 16 shares, 1 to 10 shares separately. The fruiter cut cicatrizes rapidly, effect is excellent, pest control capacity is strong, the protectant is suitable for fruit tree such as Chinese date, apply and pear as well as the cut concrescence of pruning cut, annulus peelling cut, engraft cut, saw cut, touching injure as well as damnification surface etc.

The invention discloses a plantation method for a tea tree. The plantation method comprises the steps of soil preparation, soil pH value adjustment, plantation, tea garden management, weed and pest killing, dressing and pruning. The plantation method comprises the following specific steps: adjusting the soil pH value to 4.5-6.5 according to the soil property after soil preparation; after the tea tree is planted, filling gaps with seedlings and thinning the seedlings under the condition of missing of tea tree seedling plants, and performing shallow tillage and ridging before the dry season comes; when weeds grow at the ridge edges, shortening the weeds, dressing an organic fertilizer on a young tea garden according to the growth situation of the tea tree, and properly pruning the tea tree to contribute to the growth of lateral branches of the tea tree. The tea tree planted by using the plantation method is pollution-free, and no pesticides, no chemical fertilizers and no selenium-rich elements are used.

The invention relates to a plant wound protective agent containing chitosan oligosaccharide which contains chitosan oligosaccharide and one or more of a nutritional agent, an adjusting agent and a sterilizing agent, wherein the weight percentage of the chitosan oligosaccharide accounting for the protective agent is 0.0015-0.03 percent. The plant wound protective agent can be used for spraying or smearing. The prepared solid preparation for smearing also contains a film-forming agent. On one to five days before pruning, girdling or grafting, the wound is sprayed by using the protective agent; and on one to five days after the pruning, girdling or grafting, the wound is smeared by the protective agent, so that disease attacks of the wound can be reduced and the healing of the wound can be promoted. The plant wound protective agent is used for apple trees, pear trees, peach trees, jujube trees, grape trees, mango trees, longan trees, lychee trees, citrus trees, watermelon, maidenhair trees, honeysuckle, Arabian jasmine flower and Chinese rose.

A pruning saw includes an elongated sawblade which has a line of cutting teeth. Opposite sides of the blade extending between the line of teeth and the back edge are concave. A thinnest waist between the concave sides is located closer to the line of teeth than to the back where the blade has its maximum height. A front edge of the blade forms a rounded corner where it intersects the back edge.

The invention relates to a planting method of Chinese trichosanthes, belonging to the technical field of plantation and comprising the steps of: variety breeding, seedling reproduction, transplanting, field management, disease and pest control, harvesting and processing, wherein the variety breeding step includes the sub-steps of the tests in different production places, amplification and verification tests, resistance test, field pest investigation and trichosanthes nematode control; the seedling reproduction step includes the sub-steps of seed reproduction and root reproduction; the transplanting step includes the sub-steps of land selection and preparation, ridging, reproduction and planting, planting method implementation and field management; the land selection and preparation step includes the sub-steps of detection on chemical characteristic of soil, basic fertilizer application and disinfection; the reproduction and planting step includes the sub-steps of seed bud selection, rood cutting and breeding, planting and shed putting up; the planting method implementation step includes the sub-steps of planning density control and staminiferous plant matching; the filed management step includes the sub-steps of intertillagement and weeding, top application, shed putting up, pruning and cold prevention, in particular to intertillagement and weeding, root airing, intercrop, earthing, vine supporting and racking, top application, pruning, flower and fruit protection, chemical control and foliage application; and the disease and pest control step includes the sub-steps of control of diseases and pest and control method implementation.

A pruning robot system, which comprises: a signal tag device (2) for detecting and storing information of trees and crops and positioning information, and assisting positioning; a robot (1) comprising a central processing device (10) for storing and analyzing data information of each part of the robot (1) and issuing action instructions to each part of the robot (1), and a positioning and navigating device (11) for positioning and navigating the robot (1), and for planning a path and providing obstacle-avoiding navigation for the robot (1) according to an electronic map; a cloud platform terminal (3), which is in connection and communication with the central processing device (10) of the robot (1) and is used for storing data of trees and crops as well as detection data of the robot (1), and for planning a path for the robot (1) through computing and experimenting according to the information data; a map building device (4) for building a three-dimensional electronic map corresponding to the plantation through field-detection by the robot (1). The pruning robot system realizes positioning in the plantation, robot (1) path planning, pruning information collection and automatic pruning.

Binning of predictor values used for generating a data mining model provides useful reduction in memory footprint and computation during the computationally dominant decision tree build phase, but reduces the information loss of the model and reduces the introduction of false information artifacts. A method of binning data in a database for data mining modeling in a database system, the data stored in a database table in the database system, the data mining modeling having selected at least one predictor and one target for the data, the data including a plurality of values of the predictor and a plurality of values of the target, the method comprises constructing a binary tree for the predictor that splits the values of the predictor into a plurality of portions, pruning the binary tree, and defining as bins of the predictor leaves of the tree that remain after pruning, each leaf of the tree representing a portion of the values of the predictor.

The invention belongs to fruit tree cultivation, in particular to a method for the non-polluted cultivation of amur ampelopsis stems. The method concretely comprises the steps of field selection, planting system selection, garden building, soil management, fertilizer application, irrigation, pruning, disease control, harvest, winter protection, winter protection removal and other technical measures, wherein a field far away from pollution sources is selected; a planting system of single-arm trellis is selected; the soil management is to select sandy loam or sandy black earth; the fertilizers application is to mainly apply organic fertilizers; generally, the irrigation is unnecessary when the natural rain satisfies demands for growth; the pruning is performed in summer and winter with proper inflorescence scatter; the disease control focuses on prevention; the harvest is carried out late duly; and the winter protection and the winter protection removal are to cover 10 to 15 centimeters of soil in grape valleys after grape leaves fall off in the same year of field planting and remove the soil after the tomb-sweeping day in the following year. Through the above measures, the method ensures that the amur ampelopsis stems pass winter safely and give considerable yield.

A method for encoding a rate-compatible block Low Density Parity Check (LDPC) code. The method includes designing specific LDPC codes for a predetermined number of coding rates, and generating a pruning pattern by comparing information node degrees of the predetermined number of LDPC codes; matching check node degrees of the predetermined number of LDPC codes; generating a predetermined number of puncturing patterns according to the check node degree when the matched check node degree is calculated; determining whether a first condition given for the generated puncturing patterns is satisfied; and determining the generated puncturing patterns as rate-compatible puncturing patterns when the puncturing patterns satisfy the first condition.

The invention relates to a pruning robot system. The system comprises a signal label device and a robot. The signal label device is used for detecting and storing information of trees and agricultural crops, information positioning and auxiliary positioning. The robot comprises a central processing device, a positioning navigation device, a cloud platform terminal and a map building device. The central processing device is used for storing and analyzing data of each part of the robot and sending a movement instruction to each part of the robot. The positioning navigation device is used for positioning and navigating the robot and planning a path and providing obstacle-avoiding navigation for the robot based on an electronic map. The cloud platform terminal is connected and communicated with the central processing device and is used for storing data of the trees and the crops and detection information of the robot and for planning a movement line for the robot based on information data with a computer experiment. The map building device is used for building a three-dimensional electronic map corresponding to a garden by means of on-site detection and construction through the robot. The pruning robot system achieves positioning in the garden, robot path planning, pruning information collection and automatic pruning.

A method and system for generating a decision-tree classifier from a training set of records, independent of the system memory size. The method includes the steps of: generating an attribute list for each attribute of the records, sorting the attribute lists for numeric attributes, and generating a decision tree by repeatedly partitioning the records using the attribute lists. For each node, split points are evaluated to determine the best split test for partitioning the records at the node. Preferably, a gini index and class histograms are used in determining the best splits. The gini index indicates how well a split point separates the records while the class histograms reflect the class distribution of the records at the node. Also, a hash table is built as the attribute list of the split attribute is divided among the child nodes, which is then used for splitting the remaining attribute lists of the node. The method reduces I / O read time by combining the read for partitioning the records at a node with the read required for determining the best split test for the child nodes. Further, it requires writes of the records only at one out of n levels of the decision tree where n> / =2. Finally, a novel data layout on disk minimizes disk seek time. The I / O optimizations work in a general environment for hierarchical data partitioning. They also work in a multi-processor environment. After the generation of the decision tree, any prior art pruning methods may be used for pruning the tree.

The invention, which belongs to the technical field of tree transplanting, discloses a method for transplanting a large cinnamomum camphora tree to land in north. According to the technical scheme, a tree is selected; root pruning and lump shrinking are carried out 2 to 3 years earlier; branch trimming is carried out after seedling lifting; and management after transport and transplanting. The method has the following beneficial effect: the survival rate is high and can reach over 90%.

A method is provided for aligning sentences in a first corpus to sentences in a second corpus. The method includes applying a length-based alignment model to align sentence boundaries of a sentence in the first corpus with sentence boundaries of a sentence in the second corpus to form an aligned sentence pair. The aligned sentence pair is then used to train a translation model. Once trained, the translation model is used to align sentences in the first corpus to sentences in the second corpus. Under aspects of the invention, pruning is used to reduce the number of sentence boundary alignments considered by the length-based alignment model and by the translation model. In further aspects of the invention, the length-based model utilizes a Poisson distribution.

The invention discloses a method and a device for adjusting an artificial neural network (ANN). The ANN comprises multiple neurons, and the connection relationship among the neurons is presented through a connection weight matrix. The method comprises a pruning step in which n unimportant weights in all N weights of a first trained connection weight matrix are set to be zero, a step of retraining without a mask in which a second connection weight matrix through pruning is retrained in a condition in which any weight is not forced to be constrained to be zero, a step of mask generation in which a matrix-shaped mask is generated according to a third connection weight matrix through the retraining without the mask and a step of retraining with the mask in which the mask matrix is used for retraining the third connection weight matrix. Thus, the mask is dynamically adjusted through adding the step of generating the mask via the matrix without mask retraining in a retraining stage, error pruning in the pruning process is corrected and restored, and the performance of the compressed neural network is enhanced.

A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and / or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.

The present invention relates to a method for planting grape in arid desert area. Said method includes the following several steps: according to the spacing distance of 4-6m excavating overwintering soil-covering cold-resisting channel, excavating planting channel in the centre of cold-resisting channel bottom, laying PVC plastic film on the channel bottom of planting channel and two side walls, filling coarse sand or chad into the channel bottom, then making the planting channel be filled up with soil and fertilizer mixture, according to the spacing distance of 1m planting grape young tree, at two sides of tree body respectively setting one drip irrigation band, at two sides of root system alternatively making irrigation, adopting small trellis form and pruning, when autumn changes into winter in every year, removing aerial portions of grape main vine and fruiting twigs from grape trellis and placing them into cold-resisting channel and covering said cold-resisting channel with a layer of sandy soil whose thickness is 50cm for overwintering.

The invention discloses a peach tree shape applicable for high-density planting. The peach tree shape of the invention is Y-shaped, and consists of a trunk and two large branch groups. Two large fruit branch groups can be produced on the upside of the trunk, and are arrayed oppositely in a line, and respectively extend into the two side rows; the extension direction is perpendicular to the row direction, as well as has a 45-55 degrees angle with the vertical direction. Fruit branches and small sized fruit branch groups are produced on the large fruit branch groups. The peach tree shape of the invention is applicable for high density planting, the structure of the tree is simple, the pruning is simple, the forming is quick, and the cost is low. The method of the invention is easy to be learned, the operation is simple. Standard management can be conducted for the invention to ensure that the peach orchard realize early rich and high-quality yield, high yield and stable yield.

The invention relates to a method for planting plums. The method is suitable for the popularization and development of plum planting areas in south of Sichuan areas. The detailed technical scheme is provided emphatically from aspects of planting, tree pruning, soil and fertilizer management, the prevention and control of plant diseases and insect pests and the like by the integrated management and cultivation of seedlings of plum trees and adult trees. The method has the advantages that 1, field planting is performed according to the standard, namely 40 to 45 plants are subjected to field planting in soil per mu by a method for purifying the plums and a method for increasing the yield, and the planting number is neither more nor less; 2, yield and efficiency are high, namely the yield of a single plant of 7-age trees reached 40 to 60 kilograms in 2011; 3, benefits can be achieved for multiple times by performing field planting once, and the tree age is 30 to 35 years; and 4, cold resistance is improved. By the technology, in a chasmogamous period, the cold resistance and a fruit-bearing rate can be ensured under the condition of low-temperature overcast and rainy weather, so the plums which are stably yielded are obtained.

The disclosure provides a convolutional neural network compression method (400) based on pruning and distillation. The method comprises the steps of performing pruning on an original convolutional neural network model to obtain a pruned model (S401); fine-tuning parameters of the pruned model (S403); using the original convolutional neural network model as a teacher network of a distillation algorithm and the pruned model with fine-tuned parameters as a student network of the distillation algorithm, and according to the distillation algorithm, using the teacher network to guide the student network to perform training (S405); and using the student network trained by the distillation algorithm as a compressed convolutional neural network model (S407). The method of the disclosure more effectively compresses the convolutional neural network model by using two conventional network compression methods in combination.

A pruning robot system for grape vines comprises an automatic navigation module, a pruning module and a binocular stereo vision module. The automatic navigation module comprises a tracked truck, a pan-and-tilt camera, a left wheel driver, a right wheel driver, and an industrial personal computer. The pruning module comprises an agricultural mechanical arm and terminal pruning shears, wherein the agricultural mechanical arm is used for mounting the terminal pruning shears and guiding the same to shear branches. The terminal pruning shears are used for pruning branches. The industrial personal computer is used for analyzing and processing image information of the grape vines, extracting coordinate information of pruning points, planning trajectory of the mechanical arm and giving out movement directives to joints. The binocular stereo vision module comprises two industrial cameras, an image acquisition card and the industrial personal computer, wherein the two industrial cameras are used for acquiring image information of the grape vines, and the information is transmitted to the industrial personal computer for image identification and processing through the image acquisition card. By the aid of the pruning robot system, labor intensity can be lowered, and work efficiency can be improved.

A method and apparatus for creating visualizations using tree functionals is described. In one embodiment, the method comprises representing a group of document images using a plurality of visualizations that visualize document layout information for the group of document images based on one or more display device characteristics and based on content of the group of documents, and adapting the plurality of visualizations to an available display by removing one or more visualizations from the plurality of visualizations based on at least two functional values.