33results about How to "Reduce overhead time" patented technology

A unified frame structure for filter bank multi-carrier (FBMC) and orthogonal frequency division multiplexed (OFDM) waveforms may allow FBMC and OFDM frames to be communicated over a common channel without significant inter-frame gaps. The unified frame structure may set an FBMC frame duration to an integer multiple of an OFDM frame element duration to enable alignment of FBMC frames and OFDM frames in the time domain. The unified frame structure may also map control channels in the FBMC and OFDM frames to common resource locations so that the respective control channels are aligned in the time and / or frequency domains. The unified frame structure may also share synchronization channels between FBMC and OFDM frames. Additionally, overhead in an FBMC time division duplexed (TDD) communications channel can be reduced by overlapping time windows appended to FBMC blocks.

A method and system for issuing and managing sponsor funded stored value cards, where a sponsor company funds an account associated with a stored value card. The stored value card is issued to a cardholder, who can withdraw funds from the account constrained through flexible spend rules. Sponsor funded stored value cards may reduce expenses and difficulties associated with written checks, provide the cardholder with usage flexibility, reduce risks associated with cardholder funds usage, and the like, especially when the cardholder is in a remote location.

When a CPU is processing a first task by using an accelerator for use in image processing, if a request for allocating the accelerator to a process of a second task is issued, the CPU sets an interruption flag when the process of the second task is prioritized over a process of the first task, and the accelerator is allowed to be used for the process of the second task when a state in which the interruption flag is set is detected at a timing predetermined in accordance with a process stage of the accelerator for the first task. Since the timing of detecting the set interruption flag is determined in accordance with a progress state of the process of the task to be interrupted, task switching can be made at a timing of reducing overhead for save and return for the process of the task to be interrupted.

A heating apparatus 2 comprises a housing 20; a flat heating chamber 4 which is provided in the housing 2 and adapted to heat a wafer W used as a substrate, with one side of the heating chamber 4 opening for carrying in and carrying out the wafer; and a heating plates 44, 45 provided in the heating chamber 4 such that the wafer W can be heated from both above and below. A cooling plate 3 is provided in the housing 20 located in the vicinity of the opening of the heating chamber 4, for cooling the wafer W after being heated by the heating plates 44, 45. Additionally, a carrying means is provided in the housing 20 for carrying the wafer W between an upper position of the cooling plate 3 and the interior of the heating chamber 4 such that a heat treatment for the wafer W can be performed with the wafer W being held in the heating chamber 4.

A consumption value of each storage medium and an upper limit related to writing are managed. Respective consumption value and the upper limit of each of two or more storage media out of a plurality of storage media constituting a storage media group are specified, and a remaining use period value is computed for each of the storage media using the upper limit and the consumption value. Based on each of the computed remaining use period values, data in at least one storage medium out of a plurality of storage media belonging to the selected storage area group is shifted to a storage medium which is different form the storage area group.

The first circuit has a function of retaining data in a first period during which a power supply voltage is supplied. The second circuit has functions of saving the data retained in the first circuit in the first period and retaining the data saved from the first circuit in a second period during which application of the power supply voltage is stopped. The third circuit has functions of saving the data retained in the second circuit in the second period and retaining the data saved from the second circuit in a third period during which application of the power supply voltage is stopped. The second circuit is capable of being written with the data for a shorter time than the third circuit. The third circuit is capable of maintaining the data for a longer time than the second circuit.

The invention discloses a calculating method for three-dimension scanning point cloud real-time normal vectors. The method includes the steps that (1) a kinect camera is used for performing real object scanning to read point cloud data, and a KD tree is used for searching for neighborhood points among points in point cloud; (2) according to a principal component analysis (PCA), the searched neighborhood points are subjected to fitting to form a plane, and normal vectors of the fitting plane serve as the normal vectors of all points of the point cloud data; (3) normal vector weighted mean of a neighborhood point of each data point of the point cloud data within radius r can be figured out through a weighted mean algorithm; (4) normal vector evaluation confidence coefficient of each point is set, and the evaluation is performed by means of the normal vector weighted mean of each neighborhood point of each data point of the step (3); (5) a threshold value a of the normal vector confidence coefficient of each point is set, the normal vector confidence coefficient of each point is judged, and the normal vectors of the points are corrected. By means of the calculating method for the three-dimension scanning point cloud real-time normal vectors, overhead time of calculation of point cloud data normal vector estimation can be reduced, the correction function on the normal vectors of the points can be achieved, reorientation calculation of the point cloud normal vectors can be avoided, and the calculating complexity is reduced.

It is intended to provide a memory control device and memory control method capable of reducing charge / discharge current consumed while various commands are inputted to a semiconductor memory device and reducing occurrence of power noises. During periods TT1, TT2, and TT3 which are parts of a period tCKE in which a clock enable signal CKE is in active state, supply of a control clock SD_CLK from a memory control device 1 to a synchronous-type semiconductor memory device 12 can be stopped. Furthermore, in case an input of a data input / output period of an external command and that of refresh operation period of a refresh command RCMD overlap and an access region of the external command and that of the refresh command RCMD do not coincide, those commands are converted to control command signal SD_CMD in parallel, whereby parallel conversion processing operation can be conducted.

A substrate processing apparatus has a cleaning section for cleaning a substrate such as a semiconductor wafer and can be used as a polishing apparatus. The substrate processing apparatus includes a first cleaning chamber which houses at least one first cleaning module and two second cleaning modules arranged in a vertical array, a second cleaning chamber which houses two third cleaning modules arranged in a vertical array, and a first transport robot housed in a first transport chamber disposed between the first cleaning chamber and the second cleaning chamber. The first transport robot is configured to transfer substrates between the first cleaning module, the second cleaning modules, and the third cleaning modules.

A mass storage device comprising at least one array of memory cells, at least one data path unit in communication with the at least one array, the at least one data path unit comprising a master buffer, and a main data bus adapted to transfer data between the at least one data path unit and an input / output (I / O) unit via a buffer interface unit (BIF) comprising a plurality of slave buffers, the main data bus being further adapted to support at least one of a download and upload of data between the main data bus and the I / O unit, during simultaneous performance of an internal operation between the main data bus and the at least one array, the internal operation comprising at least one of a read, program and erase operation. Methods for operating the mass storage device are also disclosed.

The invention provides a distributed scheduling method and device, electronic equipment and a computer storage medium. The distributed scheduling method is used for scheduling tasks in a big data platform, and the distributed scheduling method comprises the following steps: S1, determining the range of calculation tasks needing to be scheduled, and generating an initial task set; S2, performing layer-by-layer statistics on tasks of upstream reference objects of the tasks in all the initial task sets, and arranging the tasks according to an upstream and downstream sequence; S3, estimating the memory and processor overhead of each task, calculating respective scores through a resource overhead assessment algorithm, and sorting according to the scores to generate an execution task set; and S4, distributing the tasks in the execution task set to a plurality of computing nodes of the big data platform so as to enable the computing nodes to execute respective tasks. According to the distributed scheduling method provided by the invention, distribution control and overhead measurement are carried out, so that the resource waste condition is solved.

There is provided a digital camera to which external programs can be installed for appending desired functions thereto. Print image data generating programs to be stored in a recording medium in the digital camera are transmitted from a personal computer, an external extended recording medium of the digital camera, or an external device via a modem and a communication line. In any cases, the stored programs are read out at desired time to execute an print image data generating processing which transmits the print image data to a printer for printing the image. The stored program can be deleted at a desired time.

A distributed processor architecture computer system and method that includes one or more processors and object oriented control program for real time and near-real time streaming data processing which is able to change the underlying communication mechanism at runtime, which includes the use of a software interface that hides the underlying communication mechanism. The present invention permits the accommodation of changes in communication resource availability due to link, equipment, or software failures or communication bandwidth resources being used by other collaborating programs. The ability to select a communication mechanism based upon cost performance for the particular program deployment and communication mechanism availability as described in the present invention. Typical criteria used for selecting different communication mechanisms for streaming a high volume data on each individual connection would include lower latency, lower overhead time per message, higher throughput in bytes per second of a particular computer, communication equipment and operating system independence.

A consumption value of each storage medium and an upper limit related to writing are managed. Respective consumption value and the upper limit of each of two or more storage media out of a plurality of storage media constituting a storage media group are specified, and a remaining use period value is computed for each of the storage media using the upper limit and the consumption value. Based on each of the computed remaining use period values, data in at least one storage medium out of a plurality of storage media belonging to the selected storage area group is shifted to a storage medium which is different form the storage area group.

The invention belongs to the field of distributed computing, and provides a multiple application function asynchronous concurrent scheduling method, which is applied to a distributed computing management platform. The distributed computing management platform combines the time consumption characteristic and number of the computing tasks of each application function and the scale and performance information of a computer cluster node, realizes the computing operation of each application function by independently setting a proper computing operation scheduling grain size for each application function, and adds the computing operation into the scheduling sequence of the distributed computer management platform to realize the computing task asynchronous concurrent submission of the plurality of application functions, the uniform scheduling of the computing operation of the plurality of application functions and the computing result asynchronous recovery of the plurality of application functions, thereby fully utilizing the computing performance of the computer cluster and reducing computing time.

Erasing is performed with respect to a nonvolatile memory cell without causing depletion halfway therethrough. A control circuit for reversibly and variably controlling the threshold voltage of the nonvolatile memory cell by electrical erasing and writing controls an erase process of performing erasing to the plurality of nonvolatile memory cells assigned to one unit in an erase operation, a first write process of performing writing to the nonvolatile memory cell exceeding a pre-write-back level before a depletion level, and a second write process of performing writing to the nonvolatile memory cell exceeding a write-back level after the first write process. Since the occurrence of depletion is suppressed by successively performing the first write process with respect to the nonvolatile memory cells which may exceed the depletion level in the erase process, erasing can be performed to the nonvolatile memory cell without causing depletion halfway therethrough.

The invention discloses an MPI process management interface implementation method based on a high-speed interconnection network. The MPI process management interface implementation method comprises the following steps of acquiring all process communication addresses by a parallel program: 1) executing initialization of a key value database; 2) generating communication address information of all MPI processes through a static communication rule; 3) storing all communication address information in a key value database of the node; 4) creating a communication port of the own process by the parallel program through a static communication rule; and 5) obtaining, by the MPI process, communication address information of other MPI processes needing process communication through the key value database. According to the method, the application program does not need to undergo a global data exchange stage in the starting process, so that the network overhead time of global data exchange is reduced, and the starting of large-scale parallel application programs is accelerated.

The invention discloses a high refresh rate waveform mapping method and a digital oscilloscope. The method comprises the following steps: continuously obtaining multiple frames of collected data of signals (S100); arranging each data point of each frame of collected data in a corresponding display array, and forming a coordinate code of the data point by utilizing the code value of each data pointand the serial number of the display array where the data point stays (S200); counting the times that each data point appears at corresponding coordinate code to obtain the statistical result of thearray column diagram, and counts the maximal code value and minimal code value in each display array so as to obtain an array peak value statistical result (S300); according to the statistical result,carrying out waveform mapping on the signals, and refreshing the display brightness of each pixel in the waveform mapped region (S400). According to the waveform mapping method, a statistical value mapping mechanism is used to replace a conventional each frame individual mapping mechanism, the situation that data acquisition of each frame needs individual mapping is avoided, the time for waveformmapping is reduced, and the refresh rate is improved.

The invention provides a distributed scheduling method and device based on an ER relationship, an electronic device and a computer storage medium. The distributed scheduling method based on the ER relationship is used for scheduling tasks in a big data platform, and comprises the following steps of S1, determining the range of calculation tasks needing to be scheduled, and generating an initial task set; S2, performing hierarchical arrangement on tasks in all the initial task sets based on an ER relationship; S3, estimating the memory and processor overhead of each task, calculating respectivescores through a resource overhead evaluation algorithm, and performing sorting according to the scores to generate an execution task set; and S4, allocating the tasks in the execution task set to aplurality of computing nodes of the big data platform to enable the computing nodes to execute respective tasks. According to the distributed scheduling method, allocation control and overhead measurement and calculation are carried out, and the problem of resource waste is solved.

A unified frame structure for filter bank multi-carrier (FBMC) and orthogonal frequency division multiplexed (OFDM) waveforms may allow FBMC and OFDM frames to be communicated over a common channel without significant inter-frame gaps. The unified frame structure may set an FBMC frame duration to an integer multiple of an OFDM frame element duration to enable alignment of FBMC frames and OFDM frames in the time domain. The unified frame structure may also map control channels in the FBMC and OFDM frames to common resource locations so that the respective control channels are aligned in the time and / or frequency domains. The unified frame structure may also share synchronization channels between FBMC and OFDM frames. Additionally, overhead in an FBMC time division duplexed (TDD) communications channel can be reduced by overlapping time windows appended to FBMC blocks.

The invention provides a distributed scheduling method and device, electronic equipment and a computer storage medium. The distributed scheduling method is used for scheduling tasks in a big data platform, and the distributed scheduling method comprises the following steps: S1, determining the range of calculation tasks needing to be scheduled, and generating an initial task set; S2, performing layer-by-layer statistics on tasks of upstream reference objects of the tasks in all the initial task sets, and arranging the tasks according to an upstream and downstream sequence; S3, estimating the memory and processor overhead of each task, calculating respective scores through a resource overhead assessment algorithm, and sorting according to the scores to generate an execution task set; and S4, distributing the tasks in the execution task set to a plurality of computing nodes of the big data platform so as to enable the computing nodes to execute respective tasks. According to the distributed scheduling method provided by the invention, distribution control and overhead measurement are carried out, so that the resource waste condition is solved.

System and method of Multi-User Multiple-Input Multiple-Output (MU-MIMO) Beamforming communication. An MU-MIMO BF training session is used to train all the responders in a user group in relation to an initiator having multiple antenna arrays. Accordingly, suitable TX-RX sector pairs are selected based on the training results, and the user group is arranged into subsets such that the initiator can transmit data to the responders in one subset simultaneously by using mutually orthogonal BF waveforms. Prior to the MU-MIMO BF training session, the initiator can select TX sectors of the TX antennas and responders for the training session based on results from a prior or preliminary SISO BF training.

In a sensor relay device (10), a communication control unit (13) receives sensor data from a sensor terminal (ST) via a terminal module (11) when a transmission data amount related to the sensor datatransmitted from the sensor terminal (ST) is equal to or greater than a determination threshold value. This can shorten the overhead time taken to transmit sensor data.

A method and system for predicting soil and / or plant condition in precision agriculture with a classification of measurement data for providing an assignment of a measurement parcel to classes of interest. The assignment is used for providing action recommendations, particularly in real time or close to real time, to a farmer and / or to an agricultural device based on acquired measurement data, particularly remote sensing data, and wherein a classification model is trained by a machine learning algorithm, e.g. relying on deep learning for supervised and / or unsupervised learning, and is potentially continuously refined and adapted thanks to a feedback procedure.

The invention relates to a voice controlled multimedia player, comprising: master control module, voice recognizing module, multimedia file memory, and voice input module connected with the voice recognizing module, where the voice input module inputs voice recognition information and recognizes the voice recognition information by the voice recognizing module, the multimedia files are stored in at least a directory in the memory and the master control module selects a directory whose name matches with the voice recognition information. And the master control module can also select a multimedia file with matched name from the selected directory according to the further inputted voice recognition information. Thus, it sets different directories in the memory and uses the directory names as recognition information, and thus, can make staged management on multimedia files in the memory, and users can further make staged unicast by file names, thus reducing system overhead and convenient for the users.