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18271results about How to "Reduce processing time" patented technology

Skills matching application

A tool, called the Skills Matching Application (SMA), allows a user, such as a hiring manager, to communicate requirements to technical service suppliers in a way that significantly reduces the process time and improves the accuracy of requests sent to suppliers. The SMA is accessed from a Web-based Requisition / Catalog (REQ / CAT) Web application. A user who needs to request a technical contractor accesses the REQ / CAT Web application which brings the user to the SMA Web site. The SMA application, after requiring a password and profile (for first time access) to be entered, takes the user through a series of screens which prompts the user to enter a Statement of Work (SOW) and complete a skills detail checklist for each of the technical skills requested. Once the request is completed, it is submitted to contracted suppliers who are sent an e-mail notification notifying the supplier that a new request has been entered into the SMA application for them to review and submit a candidate against. This e-mail has a standard formatted attachment which contains the statement of work and skills detail checklist. The suppliers, when they receive an e-mail request, access the Web site database to view the request details. A supplier provides a candidate or candidates by accessing the SMA Web site and submitting candidates and appending resumes as appropriate. The supplier provides a response to the SOW by responding to the entries with the candidate's skills, experience, etc. The requestor views the supplier responses and associated resumes and can either accept or reject each candidate submitted but cannot accept more than the number of candidates requested.
Owner:IBM CORP

High-performance extensible document transformation

The present invention provides a method, system, and computer program product for applying transformations to extensible documents, enabling reductions in the processing time required to transform arbitrarily-structured documents having particular well-defined elements. Signatures for structured document types are defined, along with one or more transformations to be performed upon documents of that type. The transformations are specified using syntax elements referred to as maps. A map specifies an operation code for the transformation to be performed, and describes the input and output of the associated transformation. A special map processing engine locates an appropriate transformation object to a particular input document at run-time, and applies the transformation operation according to the map definition. This technique is preferably used for a set of predetermined core transformations, with other transformations being processed using stylesheet engines of the prior art. The input documents may be encoded in the Extensible Markup Language (XML), or in other structured notations. The techniques of the present invention are particularly well suited to use in high-volume and throughput-sensitive environments such as that encountered by business-to-business transaction servers.
Owner:IBM CORP

Stereoscopic image aligning apparatus, stereoscopic image aligning method, and program of the same

A stereoscopic image aligning apparatus (200) automatically aligns image pairs for stereoscopic viewing in a shorter amount of time than conventional apparatuses, which is applicable to image pairs captured by a single sensor camera or a variable baseline camera, without relying on camera parameters. The stereoscopic image aligning apparatus (200) includes: an image pair obtaining unit (205) obtaining an image pair including a left-eye image and a right-eye image corresponding to the left-eye image; a corresponding point detecting unit (252) detecting a corresponding point representing a set of a first point included in a first image that is one of the images of the image pair and a second point included in a second image that is the other of the images of the image pair and corresponding to the first point; a first matrix computing unit (254) computing a homography transformation matrix for transforming the first point such that a vertical parallax between the first and second points is smallest and an epipolar constraint is satisfied; a transforming unit (260) transforming the first image using the homography transformation matrix; and an output unit (210) outputting: a third image that is the transformed first image; and the second image.
Owner:PANASONIC CORP

Etching apparatus for manufacturing semiconductor devices

An etching apparatus for manufacturing semiconductor devices which reduces contamination of the processing surface of a wafer by transporting a plurality of wafers stacked in a cassette with their processing surfaces facing down from the cassette supply chamber to one or more process chambers where the etching operation is performed on each wafer, one at a time. The apparatus has a load lock chamber for transferring the wafers stacked in the cassette from the cassette supply chamber, which is maintained under atmospheric conditions, to the process chamber, which is maintained under a strong vacuum. The process chamber has a cathode to which a wafer is clamped by a wafer holder with its processing surface facing down; the process chamber may also have a removable lower cover for easy repair and cleaning. The apparatus may also have a wafer aligning chamber installed between the cassette supply chamber and the load lock chamber for simultaneously aligning all of the wafers n the cassette before they are transported to the load lock chamber. The wafer aligning chamber also has a cassette transport mechanism for transferring the cassette from a cassette supply table in the cassette supply chamber to an elevator installed in the load lock chamber.
Owner:SAMSUNG ELECTRONICS CO LTD

Automatic sound field correcting device and computer program therefor

An automatic sound field correcting device executes a signal process to the plurality of audio signals on respective correspondent signal transmission paths, and outputs them to a plurality of correspondent speakers to correct sound characteristics on the respective signal transmission paths. Namely, a measurement signal is supplied to each signal transmission path, and a measurement sound corresponding to it is outputted from the speaker to a sound space. The outputted measurement sound is detected as a detecting signal. The frequency characteristic of the audio signal on each signal transmission path is corrected by an equalizer, and a gain value of the equalizer is determined by a correction amount determining unit. A frequency characteristics correction is performed predetermined times. At a first correction, the correction amount determining unit determines the correction amount by performing a frequency analysis, based on the detecting signal, i.e. base on the detecting signal corresponding to the measurement sound actually outputted to the sound space. On the contrary, at and after a second correction, the correction amount determining unit determines the correction amount based on the detecting signal or an output signal of the equalizer. Namely, at and after the second correction, the output signal of the equalizer is supplied to the correction amount determining unit in a signal processing circuit as the need arises, and the frequency characteristics correction is performed without actually outputting the measurement sound to the sound space.
Owner:ONKYO KK D B A ONKYO CORP

Point cloud automatic registration method based on normal vector

ActiveCN103236064AMeet registration requirementsRealize automatic registrationImage analysisFeature vectorExact match
The invention relates to a point cloud automatic registration method based on normal vector. According to the method, processing objects are two or more than two pieces of three-dimensional point cloud data, wherein overlapped part exists every two pieces of adjacent three-dimensional point cloud data. The method comprises the following processing steps that (1) feature points are selected according to the point cloud local normal vector changes; (2) the histogram feature quantity is designed for carrying out feature description on each obtained feature point; (3) the initial matching dot pair is obtained through comparing the histogram feature vector of the feature points; (4) the precise matching dot pair is obtained through applying the rigid distance constraint condition and combining a RANSAC (random sample consensus) algorithm, and in addition, the initial registration parameters are obtained through calculation by using a four-element method; and (5) an improved ICP (iterative closest point)) algorithm is adopted for carrying out point cloud precise registration. The point cloud can be automatically registered according to the steps. The method has the advantages that feature description is simple, identification degree is high, higher robustness is realized, and registration precision and speed are improved to a certain degree.
Owner:SOUTHEAST UNIV
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