Abstract: An automated system for assessing pumpoff risk can be used to warn operators and/or control machinery in order to avoid pumpoff. Pumpoff risk is assessed through the use and/or comparison of one or more models of pumpoff risk. These models can include a sand build up model (e.g., to determine the threshold buildup size where pumpoff risk is too great), a line speed increase model (e.g., to determine the maximum flow rate allowable given a maximum support line feed rate), a residual error comparison model (e.g., to compare the deviation of predicted tension from actual tension), and a statistical analysis model (e.g., to determine likelihood of pumpoff given statistical probability of each of a multitude of possible scenarios).

Abstract: A pump-down method includes deploying a tool in a well via a wireline and measuring a tension of the wireline. The method also includes determining a difference between the measured tension and a reference tension. The method also includes updating at least one of a pump rate and a wireline speed used for pump-down of the tool based on the difference and at least one control parameter obtained at least in part from prediction model results.

Abstract: Certain aspects and features of the present disclosure relate to an automated system for assessing pumpoff risk, which can be used to warn operators and/or control machinery in order to avoid pumpoff. Pumpoff risk is assessed through the use and/or comparison of one or more models of pumpoff risk. These models can include a sand build up model (e.g., to determine the threshold buildup size where pumpoff risk is too great), a line speed increase model (e.g., to determine the maximum flow rate allowable given a maximum support line feed rate), a residual error comparison model (e.g., to compare the deviation of predicted tension from actual tension), and a statistical analysis model (e.g., to determine likelihood of pumpoff given statistical probability of each of a multitude of possible scenarios).

Abstract: A pump-down method includes deploying a tool in a well via a wireline and measuring a tension of the wireline. The method also includes determining a difference between the measured tension and a reference tension. The method also includes updating at least one of a pump rate and a wireline speed used for pump-down of the tool based on the difference and at least one control parameter obtained at least in part from prediction model results.

Abstract: Engine response curves (RCs) can be used for streak compensation for printed documents. A feedback control paradigm can be included to effect RC compensation. Singular Value Decomposition (SVD) can be used to represent each RC in the collection of spatial RC data as a linear combination of basis vectors. RCs are approximated by selecting the first few basis vectors, the approximation aiding in noise rejection and reducing computation in the controller by reducing dimensionality of the RC data from gray levels to the number of SVD bases selected. An optimal subset of RCs is selectable from the set of approximated RCs by clustering the SVD weights, the clustered SVD weights producing TRCs that span all engine response RCs generated by a printer. Compensation RCs are constructible using reduced number of bases and clustered SVD weights.

Abstract: Engine response curves (RCs) can be used for streak compensation for printed documents. A feedback control paradigm can be included to effect RC compensation. Singular Value Decomposition (SVD) can be used to represent each RC in the collection of spatial RC data as a linear combination of basis vectors. RCs are approximated by selecting the first few basis vectors, the approximation aiding in noise rejection and reducing computation in the controller by reducing dimensionality of the RC data from gray levels to the number of SVD bases selected. An optimal subset of RCs is selectable from the set of approximated RCs by clustering the SVD weights, the clustered SVD weights producing TRCs that span all engine response RCs generated by a printer. Compensation RCs are constructible using reduced number of bases and clustered SVD weights.

Abstract: Engine response curves (RCs) can be used for streak compensation for printed documents. A feedback control paradigm can be included to effect RC compensation. Singular Value Decomposition (SVD) can be used to represent each RC in the collection of spatial RC data as a linear combination of basis vectors. RCs are approximated by selecting the first few basis vectors, the approximation aiding in noise rejection and reducing computation in the controller by reducing dimensionality of the RC data from gray levels to the number of SVD bases selected. An optimal subset of RCs is selectable from the set of approximated RCs by clustering the SVD weights, the clustered SVD weights producing TRCs that span all engine response RCs generated by a printer. Compensation RCs are constructible using reduced number of bases and clustered SVD weights.

Abstract: A method and system compensates for streak defects in an image formed using a raster output scanning device. A reflectance profile is generated from an image generated by the raster output scanning device. Thereafter, a difference profile is determined. The difference profile is determined based upon the generated reflectance profile and a uniform profile. A compensation profile is generated based on the determined difference profile. The compensation profile represents a change in an intensity profile for the raster output scanning device.

Abstract: An image processing method to reduce streaking on a printed sheet uses a negative feedback system to reduce streaking. The method scans a printed sheet to produce image data. The method further measures gray-levels of the image data and computes a compensation vector from the measured gray-levels as the difference between a nominal tonal-resproduction-curve and local tonal-reproduction-curves. The compensation vector is applied the image data to be printed. The compensation vector emphasizes ranges of frequencies sensitive of the human eye.

Abstract: A plurality of printing jobs associated with a printing environment can be initially evaluated. Such a printing environment can be implemented as a print shop or another lean document production environment. A set of minimal resource capacities can then be calculated as a multi-objective optimization using a linear programming (LP) analysis. Alternatively, in a generalized geometrical algorithm, at least one peak-demand production rate associated with the most critical resource can first be estimated, in response to evaluating the plurality of printing jobs. Thereafter, minimal resource capacities of the plurality of resources of the printing environment can be hierarchically calculated based on estimating the previously determined peak-demand production rate of higher priority.

Abstract: Systems and methods of controlling banding defects on a receiving member in an imaging or printing process using a feedback and/or feedforward control technique. In one exemplary embodiment, a method of controlling banding defects on a receiving member in an imaging or printing process includes (a) determining a toner density on the receiving member, (b) automatically determining the extent of banding on the receiving member by comparing the determined toner density to a reference toner density value, and (c) automatically adjusting the toner density based on a result obtained from the comparison of the measured toner density to the reference toner density value, automatically determining the extent of banding and automatically adjusting the toner density being performed using a feedback and/or feedforward control routine or application.

Abstract: System and method for real-time job cell-assignment using soft-computing is provided. The system includes a work-in-progress module, a load estimation module and a fuzzy inference module. Clients send jobs to the system and the system evaluates a plurality of document processing cells' capacity to process the jobs taking into consideration the cells' current workload and the cells' capacity to process the job. Specifically, the work-in-progress module determines a work-in-progress (“WIP”) value for each cell that represents a current workload, and the load estimation module estimates a load value that represents how busy the cell is for jobs of a certain type. The fuzzy inference module applies the WIP and the estimated load values to a set of membership functions to associate the values with fuzzy values. The module determines merit values for the cells using the fuzzy values, and selects the cell having the largest merit value to route the job to.

Abstract: A method of adjusting print uniformity in a xerographic device is provided. The method includes: a) printing a test pattern, b) transferring the printed test pattern to a scanner, c) scanning the printed test pattern and detecting line information, d) communicating the detected information to a computer, e) determining measurements from the detected line information, f) calculating the difference between the measurements and target values, and g) depending on the difference, adjusting a current supplied to an individual LED of an LED printbar associated with the measurement to reduce the difference. In one aspect, a test pattern line is associated with an individual LED. In another aspect, test pattern lines are associated with two adjacent LEDs and three adjacent LEDs. In yet another aspect, the test pattern includes dotted lines. In still another aspect, the invention includes a xerographic device with an LED printbar, a computer, and a scanner device.

Abstract: System and method for real-time job cell-assignment using soft-computing is provided. The system includes a work-in-progress module, a load estimation module and a fuzzy inference module. Clients send jobs to the system and the system evaluates a plurality of document processing cells' capacity to process the jobs taking into consideration the cells' current workload and the cells' capacity to process the job. Specifically, the work-in-progress module determines a work-in-progress (“WIP”) value for each cell that represents a current workload, and the load estimation module estimates a load value that represents how busy the cell is for jobs of a certain type. The fuzzy inference module applies the WIP and the estimated load values to a set of membership functions to associate the values with fuzzy values. The module determines merit values for the cells using the fuzzy values, and selects the cell having the largest merit value to route the job to.

Abstract: A method of adjusting print uniformity in a xerographic device is provided. The method includes: a) printing a test pattern, b) transferring the printed test pattern to a scanner, c) scanning the printed test pattern and detecting line information, d) communicating the detected information to a computer, e) determining measurements from the detected line information, f) calculating the difference between the measurements and target values, and g) depending on the difference, adjusting a current supplied to an individual LED of an LED printbar associated with the measurement to reduce the difference. In one aspect, a test pattern line is associated with an individual LED. In another aspect, test pattern lines are associated with two adjacent LEDs and three adjacent LEDs. In yet another aspect, the test pattern includes dotted lines. In still another aspect, the invention includes a xerographic device with an LED printbar, a computer, and a scanner device.

Abstract: An LED-based spectrophotometer uses a reconstruction algorithm, based on spectral information of an illumination source and a reference spectrophotometer, to convert integrated multiple illuminant measurements from a non-fully illuminant populated color sensor into a fully populated spectral curve using a reference database. A non-linear model, such as a fuzzy inference system (FIS), is used to reconstruct spectra.

Abstract: An LED-based spectrophotometer uses a reconstruction algorithm, based on spectral information of an illumination source and a reference spectrophotometer, to convert integrated multiple illuminant measurements from a non-fully illuminant populated color sensor into a fully populated spectral curve using a reference database. A non-linear model, such as a fuzzy inference system (FIS), is used to reconstruct spectra.