Abstract: Systems and methods for performing fault analysis using numerically coded time series data are disclosed. First time series data, including a plurality of first time entries and an associated first data value for each first time entry, may be received for a machine variable for a first printer. Second time series data, including a plurality of second time entries and an associated second data value for each second time entry, may be received for the machine variable for each of a plurality of second printers. For each second printer, a similarity measurement may be determined for the first time series data for the first printer and the second time series data for the second printer. One or more closest matching second printers may be determined based on the similarity measurements. An association may be displayed between the first printer and each closest matching second printer.

Abstract: Systems and methods for analyzing time series data are disclosed. A query including a machine variable identifier may be received. The machine variable identifier may include an identifier pertaining to one or more of a state, a condition and a performance measure for a printer. A first time series data entry may be determined based on the query. The first time series data entry may include a data value and a time entry for the machine variable identifier. One or more second time series data entries may be selected based on the data value associated with the first time series data entry. One or more maintenance operations may be performed based on the one or more second time series data entries.

Abstract: Systems and methods for performing fault analysis using numerically coded time series data are disclosed. First time series data, including a plurality of first time entries and an associated first data value for each first time entry, may be received for a machine variable for a first printer. Second time series data, including a plurality of second time entries and an associated second data value for each second time entry, may be received for the machine variable for each of a plurality of second printers. For each second printer, a similarity measurement may be determined for the first time series data for the first printer and the second time series data for the second printer. One or more closest matching second printers may be determined based on the similarity measurements. An association may be displayed between the first printer and each closest matching second printer.

Abstract: A system for electronically distilling information from a business document uses a network scanner to electronically scan a platen area, having a business document thereon, to create a bitmap. A network server carries out a segmentation process to segment the scan generated bitmap into a bitmap object, the bitmap object corresponding to the scanned business document; a bitmap to text conversion process to convert the bitmap object into a block of text; a semantic recognition process to generate a structured representation of semantic entities corresponding to the scanned business document; and a document generation process to convert the structured representation into a structure text file.

Abstract: A system for electronically distilling information from a business document uses a network scanner to electronically scan a platen area, having a business document thereon, to create a bitmap. A network server carries out a segmentation process to segment the scan generated bitmap into a bitmap object, the bitmap object corresponding to the scanned business document; a bitmap to text conversion process to convert the bitmap object into a block of text; a semantic recognition process to generate a structured representation of semantic entities corresponding to the scanned business document; and a document generation process to convert the structured representation into a structure text file.

Abstract: A system for classifying a genre of an electronic document may include a network processor configured to receive an electronic document and convert the electronic document to rich text format (RTF). The processor may be configured to parse the RTF document into lines of text ordered from top to bottom and left to right and assign tokens to each line of text based on content of the line and to line separators based on space between blocks of lines. The network processor may be configured to sequence the tokens, parse the tokenized document with a number of pre-defined document grammars, determine a probability for each genre corresponding to the electronic document, and classify the electronic document as the genre with the highest probability.

Abstract: The present disclosure is directed to a method and apparatus for applying magnetic ink character recognition (MICR) technology to enable the embedding of coded information within text characters of a document.

Abstract: A system for electronically distilling information from a business document uses a network scanner to electronically scan a platen area, having a business document thereon, to create a bitmap. A network server carries out a segmentation process to segment the scan generated bitmap into a bitmap object, the bitmap object corresponding to the scanned business document; a bitmap to text conversion process to convert the bitmap object into a block of text; a semantic recognition process to generate a structured representation of semantic entities corresponding to the scanned business document; and a document generation process to convert the structured representation into a structure text file.

Abstract: There is provided a print demand forecasting system and method for use with a print production system in which print demand data is collected for each print job processed during a selected time interval. The collected print demand data is stored in memory and then processed to obtain a first time series component and a second time series component. The first and second time series components are corresponded respectively with first and second forecast models. One of the first and second forecast models is selected with an S process, and the selected one of the first and second forecast models is used to obtain forecast data.

Abstract: Frequency based keyword extraction method and system utilizing a statistical measure is disclosed which generates keywords within a page and/or document that can distinguish the document from an average document. A simple frequency threshold parameter can be utilized to determine a number of common stop words if a word in the document possesses a frequency in a corpus that is more than the threshold parameter. A statistical confidence interval of the frequency in the document can be compared against a frequency confidence interval of the word in the corpus. The extracted keyword possesses a greater intra-document frequency confidence interval than the frequency confidence interval of the word within the corpus. A statistical hypothesis test can also be utilized to determine the keyword by calculating a test statistic and testing whether the test statistic is greater than some threshold.

Abstract: A method of maintaining an inventory of a consumable in a production environment may include identifying a demand distribution for a consumable in a production environment, identifying a lead time period for replenishing the consumable and selecting, from a plurality of candidate parameters, a control parameter that is a function of total inventory management cost so that the selected control parameter corresponds to a lowest determined total inventory management cost. The method may also include using a forecasting model to automatically forecast a total future demand value for the consumable based on the demand distribution, the lead time period and a standard error of forecasting adjusted by the selected control parameter, determining whether additional inventory is needed based on at least the total forecasted future demand value and an inventory position and, if additional inventory is needed, generating an order for the consumable.

Abstract: A method of maintaining an inventory level of a consumable in a production environment may include monitoring an inventory position associated with a consumable in a production environment, and, based on the monitoring, identifying a plurality of window sets. Each window set may include a plurality of windows, and each window may include a portion of a historic demand distribution associated with the consumable and corresponds to a total inventory management cost. The method may also include selecting, from the plurality of window sets, the window set having the window corresponding to a lowest total inventory management cost. A lower inventory threshold level for the consumable and an upper inventory threshold level for the consumable may be automatically determined. An amount of the consumable may be ordered if the monitored inventory position is less than the lower inventory threshold level.

Abstract: A method and system of providing a recommendation measures a distance between a first document and group of clustered historic documents using a compression-based dissimilarity measurement (CDM). The CDM identifies the closest clustered historic documents and identifies a recommendation corresponding to the closest cluster.

Abstract: A computer implemented system for segmenting data collected from a document production environment is provided. The system includes determining, with a computer implemented data processing platform, that a set of document production related data should be represented as a non-normal distribution. A first test is performed and it is determined that the non-normal distribution should not be analyzed pursuant to a first analytic category. A second test is performed and when it is determined that the non-normal distribution should be analyzed pursuant to a second analytic category, an output, indicating that the non-normal distribution should be analyzed pursuant to the second analytic category is provided.

Abstract: A method of assessing resource utilization in a print production environment may include receiving a plurality of utilization profiles where each utilization profile corresponds to a utilization of a resource in an enterprise. For at least one resource in the enterprise, a computing device may determine a distance between a utilization profile for the resource and a utilization profile for one or more other resources in the enterprise. The computing device may convert one or more distances into at least one visualization, and a report management system may generate a report comprising the visualization.

Abstract: Methods and systems for clustering document collections are disclosed. A system for clustering observations may include a processor and a processor-readable storage medium. The processor-readable storage medium may contain one or more programming instructions for performing a method of clustering observations. A plurality of parameter vectors and a plurality of observations may be received. A distribution may also be determined. An optimal partitioning of the observations may then be selected based on the distribution, the parameter vectors and a likelihood function.

Abstract: A print demand forecasting system is provided for use with a print production system in which print demand data is collected for each print job processed during a selected time interval. The print demand data is processed with a computer implemented service manager to obtain a first demand series with two or more demand components and a second demand series with one demand component. Each one of the two or more demand components is less than a selected variability level and the one demand component is greater than the selected variability level. The computer implemented service manager is adapted to (1) generate a first demand related forecast with a combination of the two or more demand components, and (2) generate a second demand related forecast with the one demand component if convergent forecasting results are obtainable for the second demand series.

Abstract: A method for analyzing documents is disclosed. The method compares concepts consisting of groups of terms for similarity within a corpus of document, clusters documents that contain certain concept term sets together. It may also rank the documents within each cluster according to the frequency of term co-occurrence within the concepts.

Abstract: Methods and systems of evaluating customer satisfaction with a plurality of print-related items are disclosed. A plurality of evaluator ratings, each including an ordinal scale value, may be received for each print-related item in a set. A rating distribution may be determined for each print-related item based on the received evaluator ratings. A similarity value between the rating distribution for the print-related item and each other print-related item may also be determined. The set of print-related items may be divided into one or more clusters based on the corresponding similarity values. A comparison of the one or more clusters may be displayed. The comparison may include a comparison of the similarity values and/or a rating variability between rating distributions associated with the print-related items in one or more clusters and/or a comparison of average rating distributions associated with one or more clusters.

Abstract: Systems and methods are described that facilitate encrypting document status information into a scanned image of a document using a mixed raster content document parsing protocol, in accordance with various features described herein. A text string comprising status information can be imaged into a mask layer that overlays the scanned image. Additionally or alternatively, the text string can be encrypted into a binary image that is encoded into the mask layer and overlaid on the image. The image itself is parsed into a background layer and one or more mask layers comprising different portions of the document. The encrypted mask layer comprising the text string and/or binary image can be generated using the same color as the background layer, such that the document status information is invisible and does not cause unwanted artifacts during printing or conversion of the document between formats.