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222 results about "Input format" patented technology

Input formats are media formats that describe the basic properties of the media that you pass to the writer for encoding. For example, the frame size and color space of input video is described by the input format.

Knowledge Correlation Search Engine

An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.
Owner:MAKE SENCE

Short-term traffic flow prediction method based on convolutional neural network

The invention provides a short-term traffic flow prediction method based on a convolutional neural network. The short-term traffic flow prediction method comprises the steps that firstly, the formats of input matrixes are determined according to the number of upstream and downstream road sections and the number of historical flow data predicted to be used; secondly, a structure of a convolutional neural network prediction model is determined according to the formats of input matrixes, and model training is completed by using the historical flow data of predicted road sections and the upstream and downstream road sections of the predicted road sections; finally, prediction is performed by using the trained model. The method utilizes the convolutional neural network having powerful characteristic learning capability to accurately predict short-term traffic flow, considers the flows of the predicted road sections and the upstream and downstream road sections of the predicted road sections simultaneously, and enables input data to be expanded to two dimensions so as to conform to the input format of the convolutional neural network. In addition, information of the road sections relevant with the predicted road sections is also provided to enable the prediction model to learn more flow characteristics, and accordingly the prediction accuracy is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM

Method and system for validation, estimation and editing of daily meter read data

A method for processing daily consumption, demand and time of use meter reads for electric, gas, water and other metered entities. The meter reads are collected by any of the well known Automated Meter Reading (AMR) technologies and loaded into a meter data warehouse. At a minimum daily meter reading, reads that are tagged as Good, Stale, Partial, Incomplete and Missing are required for properly identifying usage patterns, applying rules for error patterns and estimating the reads which will provide quality meter reads to the utilities thereby identifying meter problems before they become billing problems. The overall process involves loading the daily meter reads into a database, comparing each meter read against its previous day's read and applying a set of rules that help in validating, editing and estimating (VEE) of this data. The VEE rules that are applied can be broadly classified into five (5) categories. They are 1) Cumulative (CUM) Read Error Detection 2) Demand (DEM) read Error Detection 3) Rounding, Truncation and Offset rules 4) Allocation and Estimation 5) Others. Once these rules have been applied and the required reading estimated and edited, the data is now ready for billing. Prior to the reads being used for billing, another process is executed that helps to determine the meters that need to be replaced and hence whose reads cannot be used for billing as it would result in the customer being billed for incorrect usage. The output of this process can be customized to suit any of the popular Utility Billing Systems (UBS)'s input format and mimics a meter exchange transaction.
Owner:LANDISGYR ANALYTICS

System, plug-in, and method for improving text composition by modifying character prominence according to assigned character information measures

A computer implemented system, plug-in application and method for composing a formatted text input to improve legibility, readability and / or print economy while preserving the format of the text input and satisfying any user selected aesthetic constraints. This is accomplished by reading in blocks of text input having defined characters including letters and punctuation in a given input format. A language unit such as a lexical or sub-lexical unit, a subset of punctuation or another defined unit for a particular language is examined and an information measure (IM) is assigned to each character in the language unit indicating the predictability of that character to differentiate the language unit from other language units. Typically, multiple different IMs are assigned to each character and combined to form a combined IM (CIM). The process is repeated for at least a plurality of language units and typically until all the text input in the block has been analyzed and information measures assigned to all of the characters. An adjustment to a physical feature is determined for each character in the plurality of units to modify the visual prominence of that character according to the values of the assigned information measures and a permitted range of physical variation for the block. The adjustments are applied to each character to compose the text input consistent with the input format.
Owner:LANGUAGE TECH

Method and system for validation, estimation and editing of daily meter read data

A method for processing daily consumption, demand and time of use meter reads for electric, gas, water and other metered entities. The meter reads are collected by any of the well known Automated Meter Reading (AMR) technologies and loaded into a meter data warehouse. At a minimum daily meter reading, reads that are tagged as Good, Stale, Partial, Incomplete and Missing are required for properly identifying usage patterns, applying rules for error patterns and estimating the reads which will provide quality meter reads to the utilities thereby identifying meter problems before they become billing problems. The overall process involves loading the daily meter reads into a database, comparing each meter read against its previous day's read and applying a set of rules that help in validating, editing and estimating (VEE) of this data. The VEE rules that are applied can be broadly classified into five (5) categories. They are 1) Cumulative (CUM) Read Error Detection 2) Demand (DEM) read Error Detection 3) Rounding, Truncation and Offset rules 4) Allocation and Estimation 5) Others. Once these rules have been applied and the required reading estimated and edited, the data is now ready for billing. Prior to the reads being used for billing, another process is executed that helps to determine the meters that need to be replaced and hence whose reads cannot be used for billing as it would result in the customer being billed for incorrect usage. The output of this process can be customized to suit any of the popular Utility Billing Systems (UBS)'s input format and mimics a meter exchange transaction.
Owner:LANDISGYR ANALYTICS

Non-invasive load identification algorithm based on hybrid neural network and ensemble learning

The invention belongs to the data mining and machine learning field and relates to a non-invasive load identification algorithm based on a hybrid neural network and ensemble learning. According to the method, experimental data are processed, so that the format of the data conforms to the input formats of models; after the data are processed, a hybrid neural network model is established; the data are input into the model; the model is trained and tested, identification results are obtained; and voting is performed for the results of three different models based on the idea of ensemble learning, so that a final identification result is obtained. With the method adopted, the feature extraction effect and load identification effect of the hybrid neural network are better than the effects of a traditional neural network; an ensemble learning idea-based method is provided, a plurality of feature subsets are selected from a total feature set so as to train a plurality of base classifiers, and the base classifiers are combined, and therefore, variance can be decreased, and the identification effect of the final identification result can be improved, and the problem of adverse influence of the introduction of harmonic features on an identification effect can be solved.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)

Method and device implementing a seamless user/service reservation network

A method device implementing a seamless user / service reservation network. A network is establishing having a user input module, an interface module and a vendor service module. The user input module accommodates different classes of potential users including golf reseller, an Internet based user and a dedicated function user. Regardless of the type of user input is targeted for, all user inputs accept the same input format and send all transactions via a bundled communication. The interface module comprises multiple servers designed to communicate with the user input module and the vendor service module and decode and process all bundled requests. Utilizing multi-thread processing, all transactions from either module are concurrently processed. The vendor service module incorporates multiple vendor systems running different software platforms. Each vendor software platform is linked with a dedicated network server that can accordingly translate all standard communications to the specific protocol of the individual software vendor. By incorporating multiple user inputs that are processed concurrently by multiple vendors running different software platforms the seamless golf reservation network establishes a standardized golf tee time reservation system unique to this industry.
Owner:EZLINKS GOLF LLC

Overlay convolutional network-based rolling bearing failure mode recognition method and device

The invention discloses an overlay convolutional network-based rolling bearing failure mode recognition method and device, and relates to the field of rolling bearing failure diagnosis. The method comprises the following steps of: extracting a time-frequency domain feature of a vibration signal of a state-known rolling bearing; normalizing the obtained time-frequency domain feature of the state-known rolling bearing into a feature pixel according to a CNN network input format; inputting the feature pixel into a CNN network, and adjusting a model parameter of the CNN network through carrying out forward self-learning and gradient descent-based counter-propagation on the CNN network so as to obtain a trained CNN network; and during the recognition of a practical rolling bearing failure mode, extracting high-order features capable of reflecting intrinsic information layer by layer by utilizing the trained CNN network by taking a time-frequency domain feature of a vibration signal of a state-unknown rolling bearing, and inputting results of the feature self-learning into a top classifier layer by layer, so as to realize failure mode recognition of the rolling bearings under multiple working conditions and strong noises.
Owner:北京恒兴易康科技有限公司

Method for confirming sheet stamping member measuring point cloud position before rebound based on finite element method

The invention relates to a method for determining the position of the measurement point cloud of the sheet stamping workpiece before rebound based on finite element method. The method comprises: transferring the point cloud data to the corresponding position in a geometric model; converting the data cloud data into triangle or quadrangle grids, and outputs into a finite element input format file to obtain the grid of sheet material; establishing simulation model according to the actual mould profile to obtain the mould profile grids; establishing a simulation model according to the mould and sheet material grids, and pressing the rebounded grid reversely the position before rebound; and outputting the nodes in the finite element to obtain the position of the measurement point cloud before rebound. Applying the invention can determine the rebounded compensation profile or the edge trimming line on the rebounded workpiece rapidly and accurately.
Owner:HUNAN UNIV

Digital loudspeaker drive method and device based on quaternary code dynamic mismatch reshaping

The invention relates to a digital loudspeaker drive method and a device based on quaternary code dynamic mismatch reshaping. The method comprises the steps of (1) conducting input format conversion, (2) conducting multi-bit sigma to delta modulation, (3) conducting thermometer code conversion, (4) conducting dynamic mismatch reshaping processing, (5) conducting channel data combination and mapping coding, (6) controlling metal-oxide-semiconductor field effect transistor (MOSFET) pipe of a full-bridge power amplifier network to conduct opening and closing status switching, and driving a digitalized loudspeaker load to produce sound. The device comprises a sound source (1), a digital format converter (2), a multi-bit sigma to delta modulator (3), a thermometer coder (4), a dynamic mismatch reshaper (5), a channel data combiner (6), a mapping coder (7), a multi-channel digital amplifier (8) and the digitalized loudspeaker load (9). The units are sequentially connected in order. According to the digital loudspeaker drive method and the device based on quaternary code dynamic mismatch reshaping, use efficiency of an amplifier pipe and the load is improved, development periods and hardware implementation cost are saved, and good immunity is provided for frequency response deviation of digital channels.
Owner:INST OF ACOUSTICS CHINESE ACAD OF SCI

2-dimensional (2-d) convolver

2-dimensional (2-D) convolution calculation is widely applied in the field of image processing. The invention discloses a 2-D convolver. By decomposing the 2-D convolution calculation into parallel calculation of multiple 1-D convolution calculation windows and adopting the strategy that image data are input in a row or column leading Zigzag scanning format, the capacity of an on-chip memory is reduced, and on-chip resource overhead is reduced; because the 2-D convolver can accept two different image data input formats of row or column leading Zigzag scanning formats, the 2-D convolver is suitable for different application systems; and by adjusting the depth W of each double-port system random access memory (SRAM) in an intermediate result temporary storage unit and making good compromise between the capacity of the on-chip memory and the external bandwidth, flexibility of system design is brought. Compared with the conventional 2-D convolver, the 2-D convolver occupies fewer hardware resources, the throughput can meet the real-time requirements of most image processing systems, and the 2-D convolver can be used for realizing the 2-D convolution calculation in a low-cost embedded system. The 2-D convolver belongs to the field of super-large-scale integrated circuit structure design.
Owner:HUAZHONG UNIV OF SCI & TECH
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