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83 results about "Data limitations" patented technology

Here’s an overview of some limitations you’re likely to encounter: The data could be incomplete. Missing values, even the lack of a section or a substantial part of the data, could limit its usability. If you’re using data from surveys, keep in mind that people don’t always provide accurate information.

Exception dictionary creating unit, exception dictionary creating method, and program therefor, as well as speech recognition unit and speech recognition method

An exception dictionary creating device, an exception dictionary creating method, and a program therefor allowing creating an exception dictionary are provided for affording high speech recognition performance while reducing the size of the exception dictionary, as well as a speech recognition device and a speech recognition method capable of recognizing a speech with high accuracy of recognition by using the exception dictionary. To achieve this, a text-to-phonetic symbol converting unit (21) of an exception dictionary creating device (10) creates converted phonetic symbol sequence by converting text sequence of vocabulary list data (21) into phonetic symbol sequence. A recognition degradation contribution degree calculating unit (24) calculates a recognition degradation contribution degree when the converted phonetic symbol sequence is not identical to a correct phonetic symbol sequence registered in a database or word dictionary (50). An exception dictionary registering unit (41) registers in the exception dictionary (60) the text sequence and the phonetic symbol sequence registered in the text sequence of the vocabulary list data (12) with a high degree of recognition degradation contribution degree to the recognition so as not to exceed data limitation capacity indicated by exception dictionary memory size content (71).
Owner:ASAHI KASEI KK

Adaptive data throttling for storage controllers

A method for minimizing latency of data transfer between the redundant storage controllers in a network-based storage controller system that utilizes adaptive data throttling. Each redundant storage controller monitors latency for round trip communications between the redundant controllers by calculating a time required to mirror a write to the other controller and receive a write acknowledge. An average latency for round trip communications between the redundant controllers during a fixed monitoring period is calculated, and at the end of each fixed monitoring period, the average latency is compared to a fixed latency to access the average time latency for mirroring writes is good, acceptable or unacceptable. If the average time latency is good, the one controller reduces or disables throttling for data transfers between the one controller and the server, and between the one controller and back-end storage, increasing a number of this type of data transfer that can be executed in parallel. If the average time latency is acceptable, the one controller does not adjust throttling for data transfers between the one controller and the server, and between the one controller and back-end storage. If the average time latency is unacceptable, the one controller increases data throttling for data transfers between the one controller and the server, and between the controller and the back-end storage, decreasing a number of this type of data transfer that can be executed in parallel.
Owner:IBM CORP

Big data text classifying method based on cloud computing

The invention discloses a big data text classifying method based on cloud computing. The method comprises the following steps: respectively pre-processing training texts with class labels and without class labels to obtain corresponding training data sets; respectively carrying out feature selection on the training data sets to obtain corresponding dimensionally reduced training data sets; respectively calculating the dimensionally reduced training data sets according to a TFIDF weighted model, and respectively converting the training data sets to corresponding one-dimensional vectors; calculating the one-dimensional vectors with class labels according to a bayesian algorithm to obtain the prior probability of each class and the prior probability that each entry belongs to each class, and initializing the parameters of a bayesian classifier; utilizing an EM algorithm to optimize the parameters of the bayesian classifier so as to obtain a classifying model; carrying out text classification on the to-be-classified texts through the classifying model. Through combining a traditional naive bayesian classifying technology and Hadoop and EM algorithms, calculating speed limitation and training data limitation problems in actual application are improved, and the efficiency and the accuracy of the classifier are improved.
Owner:INNER MONGOLIA UNIV OF SCI & TECH

Method for detecting verticality of high tower based on three-dimensional laser scanning

The invention belongs to the technical field of building deformation measurement, and specially relates to a method for detecting the verticality of a high tower based on three-dimensional laser scanning. The method comprises the steps: 1), enabling the horizontal distance between a fixed instrument and a tower not to be less than 3/2 of the height of the tower, and obtaining the body point cloud data of a 1/3 circular segment of the vertical projection of the tower; 2), building a 1/3 circular body TIN model, carrying out the fitting of the upper and lower centers of the circular tower, and extracting the section of the tower; 3), calculating the central coordinates of the section of the circular tower, wherein any three non-collinear points on the section can determine a unique circular plane; 4), calculating the longitudinal and lateral inclined components and slope of the tower through the obtained central coordinates of the bottom and top of the circular tower. The method irons out the defects that a conventional verticality detection method for the high tower is difficult in outdoor operation, is difficult in precision control, consumes a large amount of time and manpower, is poor in target data accuracy and is big in data limitation. The method can achieve the detection of the verticality of the high tower quickly at high precision, and has important significance to the detection and monitoring of the similar projects.
Owner:POWERCHINA XIBEI ENG

High tower tube bending degree detection method based on three-dimensional laser scanning

The invention belongs to the technical field of building deformation measurement and particularly relates to a high tower tube bending degree detection method based on three-dimensional laser scanning. The method comprises the steps of (1) arranging an instrument through retention points which are symmetrically arranged around a tower tube as a center, and obtaining point cloud data of a tower tube body, (2) constructing a tube body TIN model, selecting tower tube cross sections, and carrying out fitting of a tower tube central axis, (3) randomly selecting n points or selecting n points with a set interval along a counter-clockwise (or clockwise) direction at the edge perimeters of the cross sections and carrying out reduction of barycentric coordinates of the tower tube cross sections, and (4) calculating a tower tube bending displacement component, a bending displacement resultant and a bending average curvature according to an adjacent cross section through the obtained barycentric coordinates of the tower tube cross sections. According to the method, the disadvantages of difficult field operations, difficult precision control, time and labor consumption, poor accuracy of target data and a large data limitation in the traditional detection of a high tower tube bending degree are solved, the high tower tube bending degree detection can be rapidly and precisely realized, and the method has important practical significance for similar engineering detection and monitoring.
Owner:POWERCHINA XIBEI ENG
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