Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

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.

Remote Server Environment

A system in which computer content is encoded at low latency and distributed to one or more client devices and in which user gestures on the client device are translated into a digital representation of the computer's native input format, thereby allowing the client device to control the computer. A method of capturing screen data on a desktop system, packaging the captured content, streaming the content to one or more client device, decoding the content on the client-side, displaying the decoded content on the client device, accepting user input, transmitting the user input to the desktop system, translating the input into a native format, and controlling the desktop system using the translated user input.
Owner:SPLASHTOP INC

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 apparatus for structuring documents based on layout, content and collection

A method and apparatus is provided for converting a document in a first format essentially comprising a flat layout structure into a structured document in a hierarchical form in accordance with predetermined attributes identified from the input format. The process comprises fragmenting the input document into a plurality of document content elements in accordance with a predetermined set of document attributes identifiable from the input document format. The content elements are clustered into selective sets having similar document attributes. The clustered sets are validated with reference to common textual properties organizational content common in documents in the collection. The clustered sets are then categorized into predetermined categories comprising structured elements of the structured document format and the document content elements are organized by hierarchical dependency from the predetermined categories wherein the organized document elements comprise the desired structured document format.
Owner:XEROX CORP

System and method for archiving and outputting documents or graphical items

Systems and methods for translating document files to a common input format can then parse the elements of such documents into an object oriented document model with linking tags associated with each of the objects, element properties and element property values. The system and method also provide a capability to efficiently compare, reconcile, store, distribute and edit such object oriented components, elements, properties and / or values. Archived documents or graphical items can be recompiled and output in a predetermined, standard format.
Owner:BERKHEIMER STEVEN E

Information integration system

A method and implementing computer system are provided for enabling a display of selective context-sensitive input-related field information concerning selected fields within a displayed information input form. In one exemplary embodiment, a field in which a cursor is placed, is enlarged relative to the remainder of the form to facilitate input to the selected field while maintaining an overall view of the remainder of the displayed form. Information is then input into the enlarged window and upon movement of the cursor to a different field, the enlarged view of the previous field is returned to normal size within the displayed form with the information input to the enlarged window being retained in the appropriate field within the form. In another embodiment, context or field-sensitive input format information and other required aspects of input information are selectively displayed in windows which are selectively positioned relative to the current input field. In an exemplary embodiment, a user is enabled to use a selection screen function to pre-determine preferred options with regard to the placement of the field-sensitive format information relative to the current input field.
Owner:IBM CORP

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 apparatus for triangle rasterization with clipping and wire-frame mode support

ActiveUS20050134603A1Efficient hardware implementationLow-cost high-speedDrawing from basic elementsCathode-ray tube indicatorsHardware implementationsComputer science
A low-cost high-speed programmable rasterizer accepting an input set of functionals representing a triangle, clipping planes and a scissoring box, and producing multiple spans per clock cycle as output. A Loader converts the input set from a general form to a special case form accepted by a set of Edge Generators, the restricted input format accepted by the Edge Generators contributing to their efficient hardware implementation.
Owner:VIA TECH INC

Touch determination with signal enhancement

Multi-touch sensitivity is enabled using a touch-sensitive apparatus comprising a panel for conducting signals from a plurality of incoupling points to a plurality of outcoupling points, thereby defining detection lines between pairs of incoupling and outcoupling points. Signal generators coupled to the incoupling points generate the signals, and signal detectors coupled to the outcoupling points generate an output signal indicative of one or more touches on the surface portion. A signal processor obtains the output signal which, if converted into a set of data samples of a given input format, enables a predetermined reconstruction algorithm to determine an interaction pattern on the surface portion. The signal processor generates, based on the output signal, a modified set of data samples in the given input format; and operates the predetermined reconstruction algorithm on the modified set of data samples so as to determine a modified interaction pattern on the surface portion.
Owner:FLATFROG LAB

Auto-negotiation of content output formats using a secure component model

In accordance with one embodiment of the present invention, secure content objects are transcoded from an input format to an output format based upon identified capabilities of a receiving device. In one embodiment, a plurality of trusted processing components are identified to collectively transcode the secure content object from the identified input format to the determined output format. In one embodiment, each of the trusted processing components are authenticated prior to operating on the secure content object.
Owner:INTEL CORP

Automatic license plate identification method based on deep convolutional neural network

The invention discloses an automatic license plate identification method based on a deep convolutional neural network. The automatic license plate identification method comprises the steps of: firstly, designing a network structure and an input format of the neural network; adopting random affine transformation to synthesize a training sample, synthesizing a real scene picture and a grey-scale image license plate, adding noise to simulate and generate a large number of license plate images in a real scene; subjecting the neural network to back-propagation training, and training the neural network by adopting a supervised back-propagation algorithm; conducting sliding window searching, positioning a license plate through sliding a window, segmenting a picture and converting the picture into grey-scale images, and standardizing the grey-scale images to the standard input format. The automatic license plate identification method can effectively handle the influence on identification caused by image translation and rotation, can avoid the dependence on the specific environment and font in the identification process, is simple in algorithm implementation and high in robustness, and is easy to transplant.
Owner:NANJING UNIV OF SCI & TECH

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

Auto-detection of audio input formats

Auto-detection of audio formats is provided by using an auto-detect element to exploit differences among multiple formats to output a format select signal corresponding to the input to the auto-detect element. In a preferred embodiment, edge detection circuitry and a time counter are employed to recognize multiple audio formats automatically. The format select signal output from the auto-detect element is output to a multiplexer, or other switching means for switching among multiple input formats, so that the correct input signal processing is used. The auto-detect element removes the need for an external hardware select pin, thereby reducing the number of input pins to the circuit.
Owner:CREATIVE TECH CORP

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

Data converter apparatus and method particularly useful for a database-to-object inspection system

Data converter apparatus for converting in real time data stored in an input compact format into an output expanded real time format. The data including a plurality of groups and repetition of the groups. The groups including, each, many basic geometric figures (BGF). The data converter includes a processor adapted to selecting data relating to a predetermined division, dividing and processing the data into consecutive bins according to scan order, which bins have structural correspondence to the input format. The data converter is further capable of sub-dividing the division into sub-divisions which have structural correspondence to the output format. The data processor is further capable of processing and allocating the BGFs in the bins to sub-divisions to thereby produce a division data stream in the output expanded real time format.
Owner:APPLIED MATERIALS INC

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

Method and system for direct recording of video information onto a disk medium

A method for converting video information from an incoming format to an outgoing format using a process free from one or more intermediary files. The method includes receiving video information in a first format and receiving a desired output media format based upon a first input and a desired TV standard based upon a second input. The method decodes the video information in the first format to raw video information in an uncompressed format and directly resizes the raw video information in the uncompressed format into a size associated with the desired output media format and the desired TV standard. The method adjusts the uncompressed format in the size associated with the desired output media format and the desired TV standard to a frame rate associated with the desired TV standard and encodes the uncompressed format in the size and the frame rate into an elementary video stream. A step of multiplexing the elementary video stream with audio information in the desired output media format and the desired TV standard to form video and audio information in a presentation format based upon the desired output media format and the desired TV standard is included.
Owner:VISUALON

Methods of exporting print jobs from a print shop management program

A method implemented in a print shop management system for exporting print jobs from the print shop management program. The exporting method allows selection of an export job ticket format at the time of export. The export job ticket format may be a press device format suitable for consumption by a digital printing device, or an original input format that preserves the format of the original job ticket imported from an external program. For the press device format, an output job ticket in the requested format is generated from scratch based on job parameters stored in a job ticket database. For the original input format, a copy of the original job ticket is read from an input job ticket and exported; optionally, job parameters generated by the print shop management program may be incorporated into the copy of the input job ticket before exporting.
Owner:KONICA MINOLTA LAB U S A INC

System and method for differentially processing a location input for content providers that use different location input formats

The disclosure relates to systems and methods for processing a location input that specifies one or more geographically definable locations for input to individual ones of a plurality of social media or other content providers that have different input formats for specifying locations. A geo-location input may be normalized to an input format that conforms to a particular content provider, which may use a format for the geo-location input that is different that a format used by another content provider. The formatted geo-location input may be communicated to the particular content provider to obtain content from the content provider. The formatting may result in artifacts such as over-inclusive results having excess content and / or under-inclusive results that omit content that should have been provided. The obtained content obtained may corrected based on a determination of whether the content is over-inclusive and / or under-inclusive by removing obtained content and / or adding new content.
Owner:TAI TECH INC

Format sensitive timing calibration for an integrated circuit tester

Each channel of an integrated circuit tester includes at least one timing signal generator for producing an output timing signal for triggering various types of test events carried out by the tester channel. At the start of each cycle of a test, each timing signal generator receivies input timing data referencing a time at which a test event is to occur and also receives input format data indicating the format of that test event. Each timing signal generator then generates its output timing signal before the event time referenced by the timing data with a lead time selected by the input format data. Each timing signal generator may be independently calibrated such that the format data always selects the appropriate lead time for the event to be triggered so that each type of event occurs at the time indicated by the input timing data regardless of the nature of the event being triggered.
Owner:CREDENCE SYSTEMS

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

Identification method, device and server for spam short messages

The invention discloses an identification method, a device and a server for spam short messages. The method comprises the following steps of upon receiving an identification instruction on a to-be-detected short message, carrying out word segmentation treatment on the to-be-detected short message; mapping segmented words obtained through word segmentation into word vectors; subjecting the word vectors to format conversion treatment to obtain to-be-input data which conform to the input format of a pre-configured neural network identification model; inputting the to-be-input data into the neuralnetwork identification model for analysis, and determining whether the to-be-detected short message is a junk short messages or not. According to the technical scheme of the invention, all words of areceived short message and the semantic relation between words are comprehensively identified by means of the neural network recognition model. According to the overall content of the short message,whether the short message is a junk short message or not is judged. Therefore, the identification accuracy of spam short messages is effectively improved. The comprehensive interception treatment of spam short messages is realized.
Owner:BEIJING QIHOO TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products