40 results about "Level order" patented technology

A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

A large-scale data processing system, a large-scale data processing method, and a non-transitory tangible machine-readable medium are provided. The large-scale data processing system comprises an interface and a processor. The interface accesses a multi-dimensional data model, wherein the multi-dimensional data model comprises a plurality of dimensions, the dimensions form a multi-dimensional space of measures, each dimension is a single space comprising a plurality of members with a common set of attributes, and each measure is a data element organized and accessible through the multi-dimensional space of the cross-product of all dimensions. The processor builds at least one Tree Object (TO), wherein the TO is derived by converting the multi-dimensional data model into an N-level tree data structure according to a level order of N attributes, each tree node in the TO meets all conditions of attributes for all ancestor nodes, and N is a positive integer.

The method generates a compressed digital image from a original image. The compressed digital image allows random access to portions of the compressed image at a number of resolutions. The original image is first transformed (103) by a multi-level DWT to form a non redundant multiple resolution frequency domain representation of the image. The representation comprises a DC subband and a plurality of high frequency subbands arranged as levels, where each level represents a frequency contribution between adjacent resolutions and where each subband comprises a plurality of tiles. The DC subband is then entropy encoded (104) into the bitstream. The high frequency subbands are next entropy encoded (108,109, and 110) into the bitstream in level order (105,113,114) and tile order (107,111).

A technique for generating a demodulation ordering used in receive signal processing operations in a BLAST MIMO receiver that is based on a relative comparison of near-to-far resistance measures among vectors forming the estimated channel transfer function matrix is disclosed. This near-to-far resistance comparison provides a resulting demodulation ordering believed equivalent to that provided by conventional V-BLAST techniques without requiring computation of the pseudoinverse of the estimated channel matrix. Also disclosed is a successive interference cancellation technique which employs Multi-Staged Nested Weiner Filtering (MSNWF) to recover soft estimates of the transmitted component-symbols from the vector observed at the BLAST MIMO receiver. Employing such MSNWF estimation is believed advantageous in that it avoids the need for matrix inversion operations involving the estimated channel matrix, Covariance Level Order Recursive-MSNWF (MSNWF-COR) or MSNWF Conjugate Gradient techniques may be conveniently implemented to provide the desired MSNWF estimation.

The invention discloses an automatic leveling device and method for a forward moving type forklift truck. The automatic leveling device comprises a transmission mechanism, an angle sensor, a sloping oil cylinder and a controller. One end of the transmission mechanism is connected with a fork frame, and the other end of the transmission mechanism is connected with the angle sensor for transmission. The angle sensor is fixed to a side moving device assembly so as to output an electric signal in proportional relation with the rotating angle of the fork frame. The sloping oil cylinder is fixed to the side moving device assembly, and the pushing end face of the sloping oil cylinder faces the fork frame. The controller is connected with the angle sensor and the sloping oil cylinder and shields other sloping orders and controls the sloping oil cylinder to act when receiving the leveling order until the upper surface of a horizontal section of a fork rotates to the horizontal position. By means of the automatic leveling device and method for the forward moving type forklift truck, the closed-loop control principle is adopted, the electric signal output by the angle sensor serves as the negative feedback, the sloping angle of the fork is judged, the action of the sloping oil cylinder is controlled, and therefore the fork can be automatically horizontal. The control manner is simple, the work efficiency is improved, and the safety risk generated when the fork frame forks goods and retreats from a tray in the non-horizontal state is lowered.

The invention relates to a common-mode voltage satisfactory decision-based FCS-MPC (Finite Control Set Model Predictive Control) method and belongs to the multi-level converter control field. According to the method of the invention, a switching loss angle is decreased, it is stipulated that only one phase or only one electric level order is converted at most in each control period, and predictive calculation quantity is reduced to 7 times at most and 4 times at least, and therefore, minimum switching loss control in a single control period can be realized; a satisfactory optimization control idea is introduced, a common-mode voltage satisfactory optimization decision is adopted to replace a traditional weight coefficient design setting link, and controller design is simplified; and selected effective voltage vectors are evaluated according to a FCS-MPC system value function, and an optimal voltage vector is selected to act in a next control period.

A shape-based geometric database uses R-trees to compactly and efficiently represent design objects. Such R-trees may be populated in an efficient and balanced manner to improve the efficient use of such R-trees in various stages of circuit design, for example. For example, tiles are assigned to bins depending at least partially on orientation of the tiles and on proximity of the tiles to reference tracks having similar orientations. Bin R-trees may be defined, along with direction and layer R-trees using a level sequential process from lower levels to higher levels until a root node is defined in each case.

A shape-based geometric database uses R-trees to compactly and efficiently represent design objects. Such R-trees may be populated in an efficient and balanced manner to improve the efficient use of such R-trees in various stages of circuit design, for example. For example, tiles are assigned to bins depending at least partially on orientation of the tiles and on proximity of the tiles to reference tracks having similar orientations. Bin R-trees may be defined, along with direction and layer R-trees using a level sequential process from lower levels to higher levels until a root node is defined in each case.

A method includes labeling XML document and determining the relationship between the nodes in the document by inputting data from a XML tree structure, visiting the nodes of the XML document by breath-first traversal in level order, assigning a label to each node in the form of <Level, Number>, where the level is the level where the node exists and the number is a unique identifying number generated by using a masking technique, creating a mask for each level, and storing the label and mask created for each level in the memory. The method further includes determining the relationship between nodes by using logical operators.

The invention relates to the technical field of furniture production plan management, in particular to a furniture lean production plan system. The furniture lean production planning system comprisesa working center management module, a technological process management module and a production line parameter management module. The beneficial effects of the invention are as follows: the paint has good effects; the invention discloses a furniture lean production planning system. A production plan automatic production scheduling model is established through product characteristics, product technology and work center capacity load calculation analysis and the like; the problem that the production scheduling scientificity and accuracy are not high is solved; meanwhile, the system can be used asa link in a furniture enterprise production informatization management platform; upper-level order business management and lower-level production field management and control are carried out; accurate data is provided for a production plan department for plan making, technical support is provided for on-site plan scheduling, the system and an ERP management system use the same database, and on-site management information is provided for the production plan department, a warehouse logistics department, a process research and development department, a quality inspection department and the likethrough network connection.

A nonvolatile memory system includes a memory area including a nonvolatile memory apparatus divided into a plurality of blocks, and a controller configured to control the memory area. The controller groups the plurality of blocks of the memory area according to wear level and whether each of the plurality of blocks is in use, and manages the blocks of each group in wear level order.

An error detection structure is proposed for a multilevel memory device including a plurality of memory cells each one being programmable at more than two levels ordered in a sequence, each level representing a logic value consisting of a plurality of digits, wherein the structure includes means for detecting errors in the values of a selected block of memory cells; the structure further includes means for partitioning the digits of each memory cell of the block into a first subset and a second subset, the digits of the first subset being unchanged in the values of a first and a second ending range in the sequence, the means for detecting errors only operating on the digits of the second subset of the block.

A method for encoding state sets which encodes a binary prefix tree representation as a level ordered edge sequence (LOES) where the inner tree nodes are ordered from left to right, and top to bottom order and coded as bit pairs which represent the presence of leaf nodes.

The invention, which is applicable to the field of the information technology, provides a method and apparatus for course arrangement. The method comprises: a term is divided into a plurality course arrangement segments with same time spans; to-be-arranged courses and arrangement requirements are obtained and the to-be-arranged courses are ranked based on the arrangement requirements; each of the to-be-arranged courses is traversed according to a priority level order and the corresponding course arrangement segment is obtained; and according to the course arrangement segments corresponding to the to-be-arranged courses, section information of the to-be-arranged courses in the course arrangement segments is determined by combining a course timetable requirement and lesson taking resource information. According to the invention, the course arrangement process is simplified and only the course scheduling time periods corresponding to the to-be-arranged courses only need to be considered and thus detection of courses of the whole term can be avoided. Therefore, the course arrangement efficiency can be improved substantially and the program logic complexity can be reduced.

The invention relates to a method for synchronous time calibration by a network element equipment. The method uses a standard network time protocol (NTP) for time synchronization. The method also includes the following steps: a plurality of standard NTP servers (11) are provided in the network and priority levels are set; when the network element equipment (12) selects the NTP servers (11) according to the priority level order for time calibration, N times of the selection to the maximum permitted corresponding to each NTP server (11) can be carried out before success. The method, through priority level setting and simple counting for the selection of the NTP servers, is totally applicable to the network element equipment. The problem that calculation ability and rate of a chip in the network element equipment cannot satisfy requirements of NTP server selection algorithm set by the NTP is solved.

The invention discloses a method, a device and a system for service quality QOS level control. The method comprises steps that the flow transceived by an OpenFlow switch is set as the multi-level flow; the flow of each level is acquired, and whether the flow exceeds the preset safety threshold is determined according to the level order; if yes, the exceeding business flow is positioned according to the level order; when the exceeding business flow is a business flow of a flow table level of the OpenFlow switch, a flow table is issued to the OpenFlow switch, and the exceeding business flow is deleted. According to the method, the device and the system for service quality QOS level control, multi-level multi-bottleneck-point scheduling control can be realized, priority of the business flow can be defined according to demands of a user, and QOS of the business flow with high business priority is guaranteed; mutual bandwidth occupation among users and among applications can be reduced, moreover, bandwidth resources can be shared to the maximum degree, and the designated business QOS can be further guaranteed, and network service efficiency is improved.

Compressed Level-Ordered Edge Sequence (CLOES) encodings are described. These techniques enable more aggressive compression of a state-set representation.

The invention discloses a method and a device for inquiry treatment, and equipment. The method for the inquiry treatment includes the following steps: 1) an inquiry instruction is received, wherein the inquiry instruction includes an inquiry condition and displaying dimension information; a target model that matches the displaying dimension information is acquired; level order traversal is performed on the target model to acquire target nodes in the target model that match the inquiry condition and the displaying dimension information; whether the target nodes have dependence nodes is judged;and if the target nodes do not have the dependence nodes, an inquiry result corresponding to the inquiry instruction is determined in terms of basic information of the target nodes. Therefore, relations between models are utilized fully, systematic deposition is performed on dimensions between the models, and the like, and common dimensions between the models are reused, and thereby, the inquiry instruction based on users is achieved, a model that best fits a business scenario is selected automatically, the establishment efficiency of the model is improved, and the accuracy and speed of the inquiry treatment of data are promoted.

A large-scale data processing apparatus, method, and non-transitory tangible machine-readable medium are provided. The large-scale data processing apparatus includes a storage unit, an interface, and a processor. The storage unit is stored with a measure table comprising at least one measure. Each of the at least one measure includes a value corresponding to a key attribute and a piece of data corresponding to a data field. The interface is configured to receive a level order of N attributes, wherein N is a positive integer and the N attributes comprise the key attribute. The processor is configured to create a measure tree object for the measure table by following the level order so that the measure tree object has N levels corresponding to the N attributes in a one-to-one fashion.

The invention provides the down special physical channel allocating method when the time division duplex high speed down link packet access, the user apparatus with only the downlink packet data operation would multipex the one or the above one the down special physical channel, the said down special physical channel and the high speed down sharing channel connect, the power controlling order transferring the said user apparatus, the in-phase adjusting order and the high floor information sign are on the sharing body; the said down special physical channel allots periodically, in the one said allocating period, the said down special channel is allocated equally in the said user apparatus to transfer the power controlling order and the in-phase adjusting order of all the said user apparatus, or it can be occupied by the one user apparatus to transfer the high level ordering information of the user apparatus; in the wireless link inspecting time windows mounted by the system, the at last allocating period in which the said down special physical channel allots equally in the said user apparatus is existing.

The invention relates to a system and a method for assisting in interaction among product designing, developing and manufacturing processes. Based on the system of a computer for providing a single site scheme of each party and resource integration for a purchase party with low purchase quantity, the purchase party with low purchase quantity can acquire assistance from an initial design stage to aproduction level ordering stage for a product manufacturing purpose.

The invention includes multi levels program ordering servers. One of next higher level ordering server can provide signal to multi ordering servers in next lower level. The lowest level ordering server is connected with multi client-side terminals. The ordering method includes following steps: offering index information; receiving program ordering information from user terminal; looks up and finds the ordered content in each level ordering servers; renews program list; ends display and renews list. The invention can compress program in multi columns, and make repeating and intermittence display.

A display device, a driving method and an electron of this invention can correct the self-adaptivity migration rate according to the gray scale of a video signal and improve evenness of images. A writing scanner (4) comprises a shift register (S / R) and an output buffer (4B). The shift register (S / R) is synchronous with a line order scanning so as to generate input signals (IN, AZX) to each level order of the shift register. The output buffer (4B) is connected between each level an each scanning line (WS) of the shift register (S / R) and outputs a control signal to the scanning line (WS) based on input signals (IN, AZX). The shift register (S / R) changes the level of input signals (IN, AZX) in at least two stages. The output buffer (4B) changes the decline of the control signal (WS) for stopping the time of specified sampling transistor based on the level change of the input signals (IN, AZX) along the waveform, such that the changeable control to the migration rate correction period based on the signal level of the video signal.

The invention belongs to the technical field of image processing, and relates to a saliency map fusion method based on the (N) fuzzy integral. Firstly, saliency detection methods to be fused are adopted to generate respective saliency maps. Secondly, the similarity coefficient and similarity matrix between the saliency maps are calculated, and then the support degree and credibility of each saliency map are obtained. Then, the credibility of each saliency map is taken as the fuzzy measure value in the (N) fuzzy integral. At the same time, the saliency maps to be fused are pixel-level ordered,and the sorted discrete saliency values are taken as non-negative real-value measurable functions in the (N) fuzzy integral. Then, the (N) fuzzy integral value is calculated to obtain the fused saliency map, and finally the final saliency map is obtained by enhancing a foreground region and suppressing the optimization of a background region. The method can identify the most salient parts of the images and combine the advantages of the existing excellent saliency detection methods, so that the obtained detection effect is better than that of each synthesis method when the saliency test is performed individually.

A large-scale data processing system, a large-scale data processing method, and a non-transitory tangible machine-readable medium are provided. The large-scale data processing system comprises an interface and a processor. The interface accesses a multi-dimensional data model, wherein the multi-dimensional data model comprises a plurality of dimensions, the dimensions form a multi-dimensional space of measures, each dimension is a single space comprising a plurality of members with a common set of attributes, and each measure is a data element organized and accessible through the multi-dimensional space of the cross-product of all dimensions. The processor builds at least one Tree Object (TO), wherein the TO is derived by converting the multi-dimensional data model into an N-level tree data structure according to a level order of N attributes, each tree node in the TO meets all conditions of attributes for all ancestor nodes, and N is a positive integer.

The invention discloses a sales system in a gymnasium. The system comprises a plurality of automatic selling devices arranged in the gymnasium, a front-end server arranged in the gymnasium and connected with the plurality of automatic selling devices, a back-end server connected with the front-end server, and a plurality of supply ends connected with the back-end server. The automatic selling devices allow customers to buy goods in a self-service manner. The front-end server generates and records transaction information after each transaction, carries out analysis regularly according to the transaction information to obtain goods sales information in the gymnasium, generates corresponding first-level ordering information according to the goods sales information and sends the first-level ordering information to the back-end server. The back-end server generates one or more second-level ordering information according to the first-level ordering information and sends the second-level ordering information to the corresponding supply end. The supply end supplies goods for the gymnasium according to the second-level ordering information. The system realizes intelligent management of thegoods in the gymnasium.

A method for encoding state sets which encodes a binary prefix tree representation as a level ordered edge sequence (LOES) where the inner tree nodes are ordered from left to right, and top to bottom order and coded as bit pairs which represent the presence of leaf nodes.

The embodiment of the invention provides a method and device for synchronizing user orders, and relates to the field of data transmission, which can give priority to the user orders requiring urgent processing in time and improve the user experience degree. The method comprises the following steps of: acquiring a user order and order data corresponding to the user order, wherein the order data includes order type and background configuration parameters of the order; according to the type of order and the background configuration parameters of the order, dividing user orders into ordinary-levelorders and priority-level orders; sending the priority orders to the order production database in real time; sending the preset number of regular level orders to the order production database every regular cycle time length.