967 results about "Size parameter" patented technology

Devices, systems, and methods for removing targeted lesions from vessels. In at least one embodiment of a device for removing a stenotic lesion from a vessel, the device comprises a sizing portion capable of measuring a luminal size parameter when at least part of the device is positioned within a lumen of a luminal organ, a typing portion, wherein at least part of the at least one typing portion is capable of physically touching a portion of the luminal organ or a structure therein, and a treatment portion capable of removing at least part of a stenotic lesion from the luminal organ.

A fractional concentration of clinically-relevant DNA in a mixture of DNA from a biological sample is determined based on amounts of DNA fragments at multiple sizes. For example, the fractional concentration of fetal DNA in maternal plasma or tumor DNA in a patient's plasma can be determined. The size of DNA fragments in a sample is shown to be correlated with a proportion of fetal DNA and a proportion of tumor DNA, respectively. Calibration data points (e.g., as a calibration function) indicate a correspondence between values of a size parameter and the fractional concentration of the clinically-relevant DNA. For a given sample, a first value of a size parameter can be determined from the sizes of DNA fragments in a sample. A comparison of the first value to the calibration data points can provide the estimate of the fractional concentration of the clinically-relevant DNA.

A method for automatically detecting a plurality of parameters for a NAND-Flash memory. A first step of the method may include generating a plurality of address cycles for the NAND-Flash memory. A second step may set an address number parameter of the parameters based on (i) a first number of the address cycles generated and (ii) a status signal generated by the NAND-Flash memory responsive to the address cycles. A third step generally includes generating at least one read cycle for the NAND-Flash memory after determining the address number parameter. A fourth step may set a page size parameter of the parameters based on (i) a second number of the read cycles generated and (ii) the status signal further responsive to the read cycles.

The invention proposes a method and a unit for controlling the flow of at least one TCP connection between a sender and a receiver. The method is of the type which consists in controlling, at the level of a given multiplexing node through which TCP segments relevant to the connection pass, a window size parameter contained in acknowledgement segments sent back by the receiver. The method comprises the steps of:

• • a) receiving an acknowledgement from the receiver on the up link (receiver to sender) of the connection at the level of said given multiplexing node;
  • b) controlling a window size parameter contained in, said acknowledgement segment on the basis of the difference between, firstly, a first context value associated with the TCP connection, defined as being the sequence number of the last segment that was transmitted from said given multiplexing node on the down link (sender to receiver) of the connection, to which the length of said segment is added, and, secondly, the sequence number indicated in said acknowledgement segment;
  • c) transmitting the acknowledgement segment to the sender the up link of the connection from said multiplexing node with the window size parameter thus controlled.

The invention relates to an intelligent video monitoring method capable of exploring abnormal events, and the method comprises the following steps: 1) using a driven type camera to monitor the abnormal conditions around the camera and collect video data in a monitored scene; 2) detecting and tracking a motion target occurred in the monitored scene, marking the motion target and transmitting the position and size parameters of the motion target to a driving camera; 3) self-adaptively giving a close shot for the motion target by the driving type camera according to the acquired parameters; 4) correctly classifying the detected motion target; 5) performing behavior understanding on the classified motion target; and 6) judging whether an abnormal event occurs according to the preset standard, and triggering the alarm if the abnormal event occurs. The invention also relates to a system for realizing the method. The system provided by the invention has the function of automatically finding and analyzing the abnormal events, and has the advantages that the intelligent degree is high, and the operations of alarming and information treatment can be performed timely.

The invention discloses propeller type surface contour error measurement instrument and method. The propeller type surface contour error measurement instrument is characterized in that a gantry structure is adopted, a left upright, a right upright and a top cross beam are arranged on a base, and a revolving spindle is arranged on a cross beam; the lower end of the revolving spindle is horizontally and fixedly connected with a measuring arm; a linear guiderail is arranged on the bottom surface of the measuring arm along the radial direction of the revolving plane of the measuring arm, a working platform capable of doing linear movement along the linear guiderail is arranged on the linear guiderail, and a displacement sensor is arranged on the working platform; and a Y-direction working platform and an X-direction working platform are arranged on the base in an overlapping, and the blade of a detected propeller is arranged in a positioning groove at the top surface of the X-direction working platform. The measuring device and the measuring method are established by adopting a cylindrical coordinate system according to the axial symmetry structure characteristics of the propeller blade. The measuring device and the measuring method are fast in data acquisition, have no objective errors of an operator, and are simple in follow-up error processing and analysis, and can be used for precision measurement on size parameters and geometric error parameters of large revolving parts.

A cardiac rhythm management (CRM) system provides for post-myocardial infarction (MI) therapy with closed-loop control using one or more ultrasound transducers sensing one or more ultrasound signals indicative of cardiac dimensions. Cardiac size parameters are produced using the one or more ultrasound signals to represent, for example, cardiac chamber diameter, cardiac chamber volume, cardiac wall thickness, infarct size, and degree of change in any of these parameters over time or between measurements. In various embodiments, such cardiac size parameters provide for titration, safety check, and acute optimization of the post-MI therapy.

A method of controlling a receiver and a transmitter to handle a transmission window size change procedure is disclosed. The method includes driving the receiver to deliver a control message having a window size parameter to the transmitter for adjusting a transmission window size of the transmitter, and driving the transmitter to output an acknowledgement message to the re- ceiver and adjust the transmission window size according to the window size parameter when the transmitter receives the control message.

A search tree embodying a plurality of signatures to be compared with an input string of characters and including a number of success transitions characterized by a success size parameter and including a number of failure transitions characterized by a failure size parameter is selectively modified to achieve a desired balance between processing speed and memory area requirements.

The invention relates to an adaptive and reconfigurable deep convolutional neural network computing method and device. The method comprises the steps that a program execution process of the computing device is decided according to a control signal; dynamic reconfiguration is performed on basic computing elements according to deep convolutional neural network size parameters to determine a combination level and a parallelism degree of arithmetic units; and corresponding processed data is loaded according to different reconfiguration conditions, corresponding computing is performed on convolutional neural network layers of different properties, and finally a connection output result of a group of neurons is obtained. Through the computing method and device, the defect of low flexibility of special hardware is overcome, and design parameters of the arithmetic units can be reconfigured to achieve the purpose of supporting deep convolutional neural networks of different sizes; parallel operation of convolution kernels of the same size can be realized, parallel operation of convolution kernels of different sizes can also be realized, the parallelism degree of deep convolutional neural network operation is greatly improved through the arithmetic units which can be dynamically reconfigured, and computing performance is improved.

The present application provides various devices, systems, and methods for removing stenotic lesions from vessels. In at least one embodiment of an exemplary device, the device comprises at least one sizing portion and at least one treatment portion. Such a device may be useful to, for example, remove a stenotic lesion from a vessel by positioning the device within a vessel lumen, operating the sizing portion to obtain luminal size parameter data, operating the treatment portion at a location within the vessel lumen at or near a stenotic lesion, and ceasing operation of the treatment portion when the luminal size parameter data indicates a preferred luminal size parameter.

A system and method for optimizing accesses to storage devices based on RAID I/O request characteristics is disclosed. A current I/O request processed by a storage controller is analyzed for relative locality to a previous I/O request, and adjusted over time such that storage device accesses will be efficiently conducted with respect to sequential or random workloads. A storage device access profile is maintained for each storage device based on sequential or random locality characteristics of previous RAID I/O requests. The chunk locations of the two most recent accesses are sampled according to predetermined criteria in order to create a storage device access profile, which governs queue depth and I/O size parameters used to communicate with storage devices. By managing I/O requests to storage devices using this invention, performance of such a storage controller will be optimized for changing random and sequential workloads.

A Dynamic Meeting Group Organizer automatically creates sub-groups from a group of responders to a meeting invitation sent by email by determining a number of subgroups and a subgroup size parameter; determining a question and a criteria associated with the question to create a survey; determining a list of invitees and a response date by which an invitee is to return a completed survey; sending a plurality of invitations with the survey attached to each invitee on the list; accumulating a plurality of responses to the questionnaire in a response file; and accessing the response file and automatically processing the plurality of responses by organizing the list of invitees into a plurality of subgroups according to each invitee's response to the question and the subgroup size parameter.

The present invention belongs to rapid molding field of technology, which especially relates to a rapid shaping method and a device of metal. Inert gas used by the present invention is bled into a crucible and a vacuum tight chamber that can obtain steady differential pressure by means of pressure control system, which makes mental fusant ejected in the form of laminar jet from a micro-nozzle that is positioned on a bottom of the crucible. Vibration disturbance mental shooting flow produced by a piezoelectric oscillator turns metal shooting flow into uniform droplets. And real-time size parameters of the droplets mentioned-above can be obtained by monitoring system and computer analysis system. Subject to the size parameters of part that are input in advance, micro-computer control system has the real-time control for electrical field parameters of a deflexion polar plate, thus, controlling flight profile of the metal droplets and manufacturing metal parts with good quality in cooperation with a three-dimensional control station. The present invention is able to directly turn liquid metal into close-finished metal parts that are provided with rapid coagulation and delicate structure. The present invention has short technological process and products have good quality, which greatly reduces equipment investments.

The invention provides a multi-type workpieces batch visual measuring system and a method, and belongs to the field of industrial detection automation. The measuring system comprises a data processingterminal, a workpieces detecting unit, an image acquiring unit, a control unit and the like. The measuring method comprises the following steps of: judging whether the to-be-detected workpieces are put into a detecting platform or not; obtaining a local depth image; obtaining a global image; identifying the type and number of the workpieces; and completing the size parameter measurement requiredby the measurement task. According to the multi-type workpieces batch visual measuring system and method, multiple kinds and multiple workpieces can be simultaneously detected at the same time; compared with traditional measurement means, the type and quantity of the workpieces, speed and accuracy and the like in measuring are significantly improved.

The invention provides a method for analyzing chip failure, which is used for detecting defect characteristics of a chip grid and comprises the following steps: removing most of a substrate and an active region of a chip to be subjected to failure analysis through mechanical grinding; removing the remained substrate and active region of the chip through wet etching; removing most of a gate oxide layer of the chip through dry etching, wherein the remained gate oxide layer is used for protecting a first polysilicon layer of the grid; and detecting whether the defect characteristics exist on thefirst polysilicon layer or not. By utilizing the method provided by the invention, the chip can be accurately stripped to the bottom of the first polysilicon layer of the grid, the accurate size parameters of the bottom of the first polysilicon layer can be measured, the working efficiency can be greatly improved, and the time can be saved.

The invention provides a display method and device of a picture in a webpage, which solve the problem in the prior art that a user can browse the whole picture with a larger size by drawing a scroll bar. The method comprises the following steps: analyzing a DOM (Document Object Model) tree of a loaded webpage in a webpage browser; going through based on an analyzed result of the DOM tree and obtaining the picture in the loaded webpage; adjusting a picture size parameter of the picture to a pre-set range; establishing a display window on a system desktop of the webpage browser and displaying the picture in the loaded webpage, which is obtained by going through, wherein the picture obtained by going through comprises the adjusted picture. Based on the analyzed result of the DOM tree, the picture in the loaded webpage is obtained by going through and the picture size parameter of the picture is adjusted to a pre-set range; and a picture book obtained by gonging through is displayed and operated in the window established on the desktop. According to the display method and device of the picture in the webpage, the picture with the larger size in the webpage can be conveniently browsed and a user can conveniently operate the picture in the webpage.

The invention discloses a characteristic matching and MeanShift algorithm-based target tracking method. The method comprises the following steps: inputting an image sequence, carrying out background reconstruction on the image sequence, obtaining a target area of an initial moment and modelling by adopting a MeanShift algorithm; carrying out SIFT characteristic extraction on a target area model of the initial moment and taking the SIFT characteristic point of the target area model of the initial moment as an initial characteristic point of a characteristic library; calculating the initial position, size parameter and rotation parameters of the current frame of target through SIFT characteristic matching; accurately positioning the target by adopting the MeanShift algorithm; calculating a shielding factor of the target, judging the shielding degree of the target and determining the tracking mode of the target; and ending the target tracking after all the images in the image sequence are tracked. According to the method, the MeanShift algorithm and the SIFT characteristic matching algorithm are combined and the advantages of the two algorithms are exploited so that the stable tracking the target is realized.

The invention belongs to the technical field of optical imaging and detecting and relates to a bilateral dislocation differential confocal element parameter measuring method. The method includes the steps that dislocation differential subtracting processing is conducted on the two sides of a confocal axial characteristic data set measured by the starting points and the ending points of all various size parameters including the curvature radius, the lens thickness, the refractive rate, the focal distance and the interval, and therefore the positioning precision of the starting points and the ending points of the size parameters is improved, and the measuring precision of optical elements of the curvature radius, the lens thickness, the refractive rate, the focal distance, the interval and the like is improved. According to the bilateral dislocation differential confocal element parameter measuring method, due to the fact that two sections of data, close to the position of the full width at half maximum and very sensitive to axial displacement, of a confocal characteristic curve are used for conducting the dislocation differential subtracting processing, the position, calculated by the data sections, of the extreme point of the confocal characteristic curve is more sensitive and more accurate than the position, calculated through an existing confocal characteristic curve top fitting method, of the extreme point of the confocal characteristic curve, according to the result of the bilateral dislocation differential confocal element parameter measuring method, under the condition that the confocal element parameter system structure is not changed, the axial focusing capability, the signal-to-noise ratio and the like of the system can be obviously improved.

A highly accurate technique for inspecting semiconductor devices is described. The technique involves utilizing multiple sets of measurement data obtained by a scanning electron microscope (SEM) to determine the dimensional parameters of a semiconductor device. The SEM collects each set of data from a different angular orientation with respect to the device. The dimensional parameters of the semiconductor device are determined by analyzing the relationship between the SEM inspection angle and the collected data sets. Various configurations of an SEM can be used to implement this invention. For instance an electron beam inspection system of the present invention can have at least two sets of deflectors for guiding the electron beam, a swiveling specimen stage, and/or a set of detectors set about the specimen at different angular orientations.

The embodiment of the invention discloses a method and device for detecting an object in an image for improving the real-time performance of target detection. The method comprises dividing the image to be detected into a plurality of grids according to a preset division method, inputting the divided image into a convolutional neural network (CNN) trained in advance, obtaining the eigenvectors, output by the CNN, corresponding to respective grids of the image, determining the maximum value of a category parameter in each eigenvector, determining the positional information of an object with a category corresponding to the category parameter according to the central point position parameter and the boundary dimension parameter in the eigenvector when the maximum value is greater than a set threshold. By determining the category and the position of the object in the image with the CNN trained in advance, the method may simultaneously detect the category and the position of the object, does not need to select multiple feature regions, saves detection time, improves detection real-time performance and detection efficiency, and facilitates overall optimization.