Abstract: In one aspect, a method of measuring the weight of material used during a textile manufacturing process comprises positioning material used during the textile manufacturing process on a receiving surface associated with a load cell. A first weight of the material may be measured using the load cell. A textile manufacturing machine may be operated such that at least a portion of the material is used in the process, wherein the material remains disposed on the receiving surface during the process. A second weight of the material may be measured using the load cell.

Abstract: In one aspect, a method of measuring the weight of material used during a textile manufacturing process comprises positioning material used during the textile manufacturing process on a receiving surface associated with a load cell. A first weight of the material may be measured using the load cell. A textile manufacturing machine may be operated such that at least a portion of the material is used in the process, wherein the material remains disposed on the receiving surface during the process. A second weight of the material may be measured using the load cell.

Abstract: A computing system, composed of a series or set of algorithms which are relevant to either the layout or composition of a photomontage, is applied to a plurality of images. This system can be operated either by a human user specifying placement and location of a plurality of digital images, called an image set, onto a specified output size or the system itself acts to generate, through a series of placement and compositional steps, the montage onto the specified output size. The system can be operated in either mode at any point through the operation as specified by the user. In the fully automated system the image analysis algorithms and the resulting information is placed within the appropriate vector in a data array of the system and henceforward available to the system of the invention for evaluation of the montage score once the generation of the montage is complete.

Abstract: A transaction fraud detection system allows for the processing of documents such as checks in a way that reduces the possibility of fraud. The transaction fraud detection system provides customer enrollment and check enrollment functionality. It applies rules to data collected using the customer enrollment, the check enrollment, and possibly other data sources to determine a risk associated with a transaction, which may include generating a score. The applied rules may be customized via risk modeling functionality. For example, an administrator may be able to custom-select the types of rules to apply, the weighting or value given to any given rule, etc. The risk modeling may be at least partially automated, and may involve self-learning aspects that allow the risk modeling and/or application of rules to be at least partially based on past transactions.