121 results about "Class Code" patented technology

This invention relates in general to a system and method for business-to-business buying, selling, sourcing and matching of products and services across multiple business partners over the Internet. The invention covers an internet based solution comprise of: 1) business partner registration, 2) buying and selling processing, 3) matching of codes, 4) conversion of EDI transactions, 5) sourcing / offering of products / services and 6) electronic documents processing. The invention provides: 1) support on EDI technology conversion into Rosettanet technology, 2) enhancements to Rosettanet technology so that code matching is possible for companies with or without support on GTIN, DUNS, ISO, UN / SPSC and other globally set codes, 3) an intermediary infrastructure for consolidation and standardization of business data across multiple electronic business applications (EBAs) and platforms with or without manufacturer part number (MPN) and customer part number (CPN) support, 4) a conversion mechanism where internet published auctions and reverse auctions are converted into sales quotations (SQs) and request for quotations (RFQ) respectively, 5) a solution to extract data from various EBAs, interface, update, match and store codes such as company codes, product / service codes, currency code, unit of measure code, country code and class code from globally defined codes and business partner defined codes and 7) a sourcing / offering mechanism where it detects potential suppliers and buyers based on the calculation logic described on FIGS. 21 and 22.

An image signal generated by a CCD image sensor is processed by the block-generating section 28 provided in an image-signal processing section 25. A class tap and a prediction tap are thereby extracted. The class tap is output to an ADRC process section 29, and the prediction tap is output to an adaptation process section 31. The ADRC process section 29 performs an ADRC process on the input image signal, generating characteristic data. A classification process section 30 generates a class code corresponding to the characteristic data thus generated and supplies the same to an adaptation process section 31. The adaptation process section 31 reads, from a coefficient memory 32, the set of prediction coefficients which corresponds to the class code. The set of prediction coefficients and the prediction tap are applied, thereby generating all color signals, i.e., R, G and B signals, at the positions of the pixels which are to be processed.

The present invention provides systems and methods for communication system control utilizing corrected forward error correction (FEC) error location identifiers in multi-level modulation scheme systems. The present invention utilizes precise error correction information, available for each FEC block of a particular code (including, but not limited to, block codes and concatenated block codes employing iterative decoding as well as convolutional codes (including turbo codes) and low-density parity-check code (LDPC) class codes) used (e.g., Bose, Ray-Chaudhuri, Hocquenghem (BCH), Reed-Solomon, etc.), as a result of the FEC decoding process to provide feedback to close the loop for control of a demodulator (i.e., receiver). Each error location can be uniquely traced back to a particular sub-rate signal path, with running, post-FEC corrected BER (bit error rate) calculations generated on each sub-rate signal. Advantageously, this provides the ability to adjust thresholds and various other parameters to achieve and maintain error-free operation quickly.

A receiving processing unit receives identical SD pictures transmitted a plurality of number of times, and performs addition for weighting an SD picture stored in a storage and the received SD pictures. The receiving processing unit stores the obtained values as a new SD picture in the storage. A picture-quality determining unit determines the picture quality of the new SD picture stored in the storage, and based on the determined picture quality, a request-signal transmitting unit requests class codes representing classes obtained by classifying the pixels of an HD picture in which the quality of an SD picture is increased. A receiving-control unit receives class codes which are transmitted in response to the request, and based on the SD picture and the class codes, an adaptive processing unit calculates predicted values of an HD picture corresponding to the SD picture.

The invention discloses a data access method of an Oracle relation database based on the program call interface, which includes four steps: the field information of the target data table is acquired; the key value class and the content class data are obtained through mapping; the operation class code of the target data table is generated through the program call interface; the data of the target data table of the database is accessed. The key value class, the content class data and the operation class code are generated by the automatic tool software; the operation class code is generated on the basis of the bottom Oracle call interface (OCI) of the Oracle relation database so that the operation class code has good generality and portability, operates in various operating systems, supports the C / C++ language mapping and has high running efficiency; the operation class code generates the encapsulated reusable codes for the common database operation and adopts the same access method towards all the target databases so that the operation difficulty is lowered greatly and the programming efficiency is improved.

The invention provides a photograph classification method and a mobile terminal. The method comprises the steps that photograph characteristic data of photographs are acquired, wherein the photograph characteristic data are used for representing the color characteristics of the photographs; the photograph characteristic data are encoded so that the characteristic data coded values of the photographs are obtained; classified storage addresses corresponding to the characteristic data coded values are determined according to the corresponding relationship between the preset photograph class coded range and the classified storage addresses; and the photographs are stored in file folders corresponding to the classified storage addresses. The photographs can be accurately classified so that the efficiency of the mobile terminal for searching the photographs can be enhanced.