41results about How to "Reduce scan" patented technology

Disclosed is a sensor network, machine type communication (MTC), machine-to-machine (M2M) communication, and technology for Internet of Things (IoT), and is applicable to intelligent services such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. An access point (AP) includes a controller that generates a neighbor AP information message including location information of neighbor APs, and a transmitter that transmits the neighbor AP information message including a field indicating that a type of a currently transmitted message includes location information, a length field indicating a length of fields located after the length field in the currently transmitted message, and a location information field indicating location information of each of the neighbor APs.

An NMR imaging process includes subjecting an imaging object to a uniform polarizing magnetic field. Orthogonal magnetic field gradients are applied to the imaging object. RF energy is applied to the imaging object. The RF energy includes a plurality of angular precession frequencies simultaneously applied to correspond to a respective plurality of selected slices of the imaging object. A corresponding plurality of nuclear magnetic resonance signals emitted by the imaging object are simultaneously detected. The nuclear magnetic resonance signals are processed to provide diagnostic information related to individual ones of the plurality of selected slices. In this way, multiple slices are excited and sampled simultaneously. The RF energy can be applied by applying RF energy to the imaging object according to a fast-spin echo technique and subsequently applying RF energy to the imaging object according to a driven equilibrium technique.

The invention relates to a method for selecting a scanning area from multiple single areas based on a pathological section scanning device. Recognition procedures are arranged in the pathological section scanning device. The method includes the steps: S1 loading a pathological section; S2 previewing the pathological section to obtain a previewing image; S3 automatically recognizing the previewingimage by the recognition procedures, and recognizing an organization area in the previewing image; S4 labeling the organization area through a preset labeling method to obtain corresponding markers; S5 scanning the markers to obtain a scanning result. The method has the advantages that the method is freer and more flexible, one or a plurality of scanning areas can be defined and selected, an actual needed scanning portion is only scanned, blank area scanning is decreased, uninterested area reading time is shortened, storage space is reduced, storage cost is reduced, the scanning areas are separately selected, and the whole scanning area is the sum of all the separately selected scanning areas.

Disclosed is a method for decoding video, comprising: determining a scan area containing all of effective transform coefficients in a current block; scanning information on the transform coefficientsin the scan area according to a predetermined scan order; performing binary arithmetic decoding on the basis of information on the scanned transform coefficients to generate binary arithmetic decodedinformation; performing inverse binarization on the binary arithmetic decoded information to obtain the information on the transform coefficients of the current block; performing inverse quantizationand inverse transform on the basis of the information on the transform coefficients of the current block to generate a residual block of the current block; and restoring the current block on the basisof the generated residual block. According to the disclosed video decoding method, the binary arithmetic decoding may be performed by using a context model determined on the basis of at least one ofthe size and the shape of the current block.

The invention provides a method for displaying a vector image. The method for displaying the vector image comprises the steps of (1) converting the input vector image into a binary image; (2) identifying a target boundary in the binary image; (3) eroding the binary image by using the target boundary as the edge, and obtaining a filling area; (4) filling the filling area, and displaying the vector image. The invention further provides a system for displaying the vector image. The display speed of the vector image can be remarkably increased.

The invention relates to a method, device and equipment for processing an image. The method for processing the image is applied to medical equipment. The method for processing the image comprises thesteps that whether a scanning position of the medical equipment is changed or not is detected, when the scanning position of the medical equipment is changed, according to current scanning position information of the medical equipment, a current exposure area contour corresponding to the current scanning position in the preset medical image is determined, and the preset medical image is an image obtained by performing scanning and exposure treatment on a detection object when the medical equipment is at the preset scanning position; and in the preset medical image, the current exposure area contour and a preset exposure area contour corresponding to the preset scanning position are simultaneously displayed, so that a doctor quickly locates the lesion by viewing the current exposure area contour in the preset medical image and the preset exposure area contour, the number of scanning and exposure treatment is reduced, the physical damage to the doctor and patient caused by the radiationused by the medical equipment is reduced.

The embodiment of the invention discloses a frequent item set mining method based on MapReduce and an array. The frequent item set mining method comprises the following steps: converting a data set into a two-dimensional array; decomposing the two-dimensional array into a plurality of two-dimensional sub-arrays; allocating the plurality of two-dimensional sub-arrays to at least two nodes which execute frequent item set mining tasks in parallel, wherein each node mines a sub-frequent item set corresponding to the two-dimensional sub-array and retains a non-frequent item set of each node; and counting and summarizing the sub-frequent item sets and combining the non-frequent item sets to obtain a frequent item set of the data set. According to the method, the database is only scanned once andconverted into the two-dimensional array, scanning of the database is reduced, and the I/O time is shortened; meanwhile, the array is creatively decomposed into more sub-arrays through a horizontal division method; a MapReduce programming model of a Hadoop platform is used, and a method of processing two-dimensional subarrays in parallel is adopted, that is, frequent item set mining is performedon the subarrays in parallel at a plurality of nodes, so that the method has relatively good acceleration ratio and expandability, and is suitable for mining frequent item sets for big data sets.

The invention relates to the technical field of computers, and discloses a hierarchical data monitoring system and monitoring method so as to overcome the defect of occupation of IO and CPU resources of a database caused by frequent data access of a website and other access terminals. The hierarchical data monitoring system comprises a first monitoring computer and a second monitoring computer, wherein the first monitoring computer is provided with a first central processing unit, and a first database or a first memorizer connected with the first central processing unit and used for storing original data; the second monitoring computer is provided with a second central processing unit, and a second memorizer connected with the second central processing unit and used for storing data of a monitoring table; the second central processing unit and the first central processing unit are connected with an external access terminal; the first central processing unit is connected with the second memorizer so as to dynamically update data of the monitoring table via instructions of the first central processing unit.

A system for determining surface topography of a three-dimensional structure is provided. The system can include an illumination unit configured to output a two-dimensional array of light beams each comprising a plurality of wavelengths. An optical assembly can focus the plurality of wavelengths of each light beam to a plurality of focal lengths so as to simultaneously illuminate the structure over a two-dimensional field of view. A detector and a processor are used to generate data representative of the surface topography of the three-dimensional structure based on the measured characteristics of the light reflected from the structure.