Abstract: The present invention relates to a system and corresponding computer-implemented method for identifying exceptions in behavior of a computer system or of an application executed on the computer system. The system comprises: a component for building at least one pattern from monitored signals over a specific time period whereby the pattern is an exception identified via signal constellation out of system-side recorded resource usage data and measured energy consumption data of the entire computer system, a component for identifying an exception by comparing the at least one pattern with one or more afore built patterns each labelled with a pre-defined exception classification, a storage component for storing at least one compared, unmatched pattern for subsequent exception identification, wherein the unmatched pattern is labelled with any pre-defined exception classification via user interaction, an output component for outputting an alarm message onto an output device if any compared pattern matches.

Abstract: A method for generating a behavior prediction for a device by way of an electronic computing device is provided, including the following steps: providing an initial model of the device by way of the electronic computing device; recording at least one behavior parameter currently characterizing the device by way of a recording device of the electronic computing device; adapting the initial model, on the basis of the recorded behavior parameter, so as to form a behavioral model of the device by way of the electronic computing device; recording a simulation parameter for the device by way of a further recording device of the electronic computing device; assessing the behavioral model on the basis of the simulation parameter by way of the electronic computing device; and generating the behavior prediction on the basis of the evaluation by way of the electronic computing device. A computer program product, to a computer-readable storage medium and to an electronic computing device is also provided.

Abstract: Provided is a computer-implemented method for determining at least one quality attribute for at least one defect of interest, including the steps: a. providing an input data set including the at least one defect of interest; b. determining the at least one quality attribute for the at least one defect of interest using a classification algorithm based on the input data set; and c. providing the determined at least one quality attribute and/or additional output information as output. Further, a computing unit and a computer program product are provided.

Abstract: A system and method for classifying digital images is presented. The method includes extracting a plurality of descriptive data items of a transaction evidence from a digital image indicating a plurality of purchased items; searching in data source for informative data based on the extracted plurality of descriptive data items, wherein the informative data includes a price; determining a correlated amount for each of at least one of the plurality of descriptive data items, wherein the correlated amount determined for one of the descriptive data items defines a paid price for the descriptive data item; determining, based on at least one expense type classification rule, a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and each of the correlated amount; and classifying the digital image based on the primary expense type.

Abstract: A system and method for classifying digital images of transaction evidences. The method includes extracting a plurality of descriptive data items and a plurality of numeric values of a transaction evidence from a digital image; determining an association between at least one of the plurality of numeric values and at least one of the plurality of descriptive data items; determining, based on at least one expense type classification rule, at least a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and the plurality of numeric values; and classifying the digital image based on the determined at least one primary expense type.

Abstract: A system and method for classifying images of an evidence, the method including: generating an unlabeled template based on a first received image, wherein the unlabeled template includes a first set of regions of interest (ROIs); selecting a labeled template that includes a second set of ROIs from a plurality of labeled templates determined to be a best match for the unlabeled template; checking at least an ROI of the first set of ROIs for content that corresponds to a label of an equivalent ROI of the second set of ROIs; and, classifying the first image upon determination that the content checked corresponds to the label according to the labeled template.

Abstract: Provided is a computer-implemented method for determining at least one quality attribute for at least one defect of interest, including the steps: a. providing an input data set including the at least one defect of interest; b. determining the at least one quality attribute for the at least one defect of interest using a classification algorithm based on the input data set; and c. providing the determined at least one quality attribute and/or additional output information as output. Further, a computing unit and a computer program product are provided.

Abstract: A system and method for classifying digital images of transaction evidences. The method includes extracting a plurality of descriptive data items and a plurality of numeric values of a transaction evidence from a digital image; determining an association between at least one of the plurality of numeric values and at least one of the plurality of descriptive data items; determining, based on at least one expense type classification rule, at least a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and the plurality of numeric values; and classifying the digital image based on the determined at least one primary expense type.

Abstract: A system and method for classifying digital images is presented. The method includes extracting a plurality of descriptive data items of a transaction evidence from a digital image indicating a plurality of purchased items; searching in data source for informative data based on the extracted plurality of descriptive data items, wherein the informative data includes a price; determining a correlated amount for each of at least one of the plurality of descriptive data items, wherein the correlated amount determined for one of the descriptive data items defines a paid price for the descriptive data item; determining, based on at least one expense type classification rule, a primary expense type of the transaction evidence, wherein the at least one expense type classification rule is applied to the plurality of descriptive data items and each of the correlated amount; and classifying the digital image based on the primary expense type.

Abstract: A system and method for determining vendor identity based on electronic documents analysis. The method includes receiving, by a computing device, a first electronic document. The first electronic document includes a plurality of textual items. The method also includes extracting, using the computing device, at least a first sequence of textual items from the plurality of textual items, determining a first approximate identity of a vendor entity that issued the first electronic document by comparing the first sequence of textual items to at least a second sequence of textual items that is associated with at least a second electronic document of a plurality of second electronic documents that was previously associated with a unique vendor entity, and extracting at least a first multiset of textual items from the plurality of textual items of the first electronic document.

Abstract: A system and method for reporting based on a first electronic document and at least one second electronic document. The method includes analyzing the first electronic document to determine at least one transaction parameter for each of at least one expense item, the first electronic document indicating the at least one expense item, wherein the first electronic document includes at least partially unstructured data; creating at least one template for the first electronic document, wherein each first electronic document template is a structured dataset including the determined at least one transaction parameter; retrieving, based on the at least one first electronic document template, the at least one second electronic document; and generating a report when the at least one second electronic document matches the at least one expense item, wherein the report indicates the at least one expense item and includes the at least one second electronic document.

Abstract: A system and method for generating an electronic template corresponding to an image of an evidence, including: segmenting the image into a plurality of regions of interest (ROIs); analyzing each of the plurality ROIs to identify at least a portion of a content within the ROI and a position of each of the plurality of ROIs within the image; generating a label for each of the plurality of ROIs corresponding to the analysis, wherein the label is indicative of the at least a portion of the content and the position of the ROI within the image; and generating the electronic template for the evidence, wherein the template includes the plurality of ROIs and the labels corresponding to each ROI.

Abstract: A system and method for identifying missing required data elements in an electronic document. The method includes analyzing the electronic document to identify at least one data element; determining, based on the identified at least one data element and at least one electronic document requirement, whether there is at least one required data element missing from the electronic document; generating a query based on the identified at least one data element upon determining that there is at least one required data element missing from the electronic document; querying a database using the generated query; and modifying, based on a response to the query, the electronic document to include the at least one missing required data element.

Abstract: The invention relates to a suction device for emptying a container, in particular for emptying a container filled with granular material. The suction device has a plurality of intakes, at least one distributor, the at least one distributor being adapted to connect the plurality of intakes to a central suction line, and a means for holding, which holds at least one first intake of the plurality of intakes at a distance from at least one second intake of the plurality of intakes. The invention further relates to a method and to a system for emptying a container, in particular for emptying a container filled with granular material.

Abstract: A system and method for reporting based on a first electronic document and at least one second electronic document. The method includes analyzing the first electronic document to determine at least one transaction parameter for each of at least one expense item, the first electronic document indicating the at least one expense item, wherein the first electronic document includes at least partially unstructured data; creating at least one template for the first electronic document, wherein each first electronic document template is a structured dataset including the determined at least one transaction parameter; retrieving, based on the at least one first electronic document template, the at least one second electronic document; and generating a report when the at least one second electronic document matches the at least one expense item, wherein the report indicates the at least one expense item and includes the at least one second electronic document.

Abstract: A method and system for determining originality of computer-generated images of document evidence. The method includes receiving a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source; generating a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs); searching in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROls, wherein the first array of ROIs substantially matches the second array of ROIs; and associating the at least one original document evidence with a first originality tag including a first certainty level of originality and the verified entity.

Abstract: A system and method for determining vendor identity based on electronic documents analysis. The method includes receiving, by a computing device, a first electronic document. The first electronic document includes a plurality of textual items. The method also includes extracting, using the computing device, at least a first sequence of textual items from the plurality of textual items, determining a first approximate identity of a vendor entity that issued the first electronic document by comparing the first sequence of textual items to at least a second sequence of textual items that is associated with at least a second electronic document of a plurality of second electronic documents that was previously associated with a unique vendor entity, and extracting at least a first multiset of textual items from the plurality of textual items of the first electronic document.

Abstract: A method and system for predicting a likelihood of success of a potential value-added tax (VAT) reclaim are provided. The method includes receiving at least one VAT receipt; analyzing the at least one VAT receipt; retrieving information respective of likelihood of success respective of the VAT receipt analysis; and determining the likelihood of success of the potential VAT reclaim.

Abstract: A system and method completing missing transaction data items, including: determining a first template for a first transaction evidence based on an analysis of an electronic image, wherein the electronic image includes at least the first transaction evidence and a second transaction evidence, wherein the first transaction evidence is partially obscured by the second transaction evidence; comparing the first template to a plurality of templates of previous transaction evidences; determining, based on the comparison, at least a second template of the plurality of templates that is similar to the first template above a predetermined threshold; determining at least a type of a missing transaction data item (TDI) that exists in the second template and does not exist in the first template; retrieving at least a complementary TDI based on at least the determined type of the missing TDI; and associating the at least a complementary TDI with the electronic image.

Abstract: A system and method for extracting document images from images featuring multiple documents are presented. The method includes receiving a multiple-document image including a plurality of document images, wherein each document image is associated with a document; extracting a plurality of visual identifiers from the multiple-document image, wherein each visual identifier is associated with one of the plurality of document images; analyzing the plurality of visual identifiers to identify each document image; determining, based on the analysis, an image area of each document image; extracting each document image based on its image area.