Abstract: A process is provided for treating a stream comprising light olefins and carbon monoxide by passing the stream through a bed containing a copper containing material. The carbon monoxide needs to be removed in order to prevent poisoning of catalysts in downstream oligomerization reactors. This carbon containing material converts the carbon monoxide and hydrogen to carbon dioxide and water. The olefin stream is then dried and sent to an oligomerization step. There may be three beds so that the beds may alternate regeneration, reaction with CO and H2 and scavenging O2 steps.

Abstract: This disclosure relates generally to method and system for determining label value for labels in unstructured documents. Typical systems have challenge in understanding variations in layout of unstructured documents and extract information therefrom. The disclosed method and system facilitate systematically identifying sections and bounding boxes in the page images, taking image portion of the bounding boxes and extracting labels and label values therefrom. In case the label values are not present in the same bounding box having the label, the neighboring labels are examined for the matching label values. The system also obtains label-label value pairs from the document by utilizing a trained deep learning model, and compares the output with the label-label value pairs extracted earlier. An aggregated confidence score is assigned to the text in the bounding box.

Abstract: A method and system for defining and executing a workflow are described. the method comprises presenting, on a first section of a user interface (UI), a plurality of UI components associated with a plurality of tasks to be performed, where each UI component is associated with one task. The method further comprises, in response to one or more UI components of the plurality of UI components associated with one or more tasks of the plurality of tasks being moved from the first section of the UI to a second section of the UI, dynamically creating the workflow based on the one or more UI components and an order in which the one or more UI components being positioned in the second section of the UI, and executing the workflow to perform the one or more tasks of the plurality of tasks.

Abstract: Variation in received documents types and templates used for each document type poses challenge in developing a generic background noise removal approach for automatic text information extraction technique. Embodiments herein provide a method and a system for document classification and text information extraction. Time efficient and accurate text detection engine-based Region of Interest (ROI) technique is provided to accurately identify text region followed by a multi-layered neural network based architecture for enhanced classification accuracy to identify the type of document. A multistage image pre-processing approach is provided for efficient, effective, and accurate background noise removal from the classified document, which includes unsupervised clustering, identification, segmentation, masking, contour approximation, selective subtraction, and dynamic thresholding.

Abstract: Variation in received documents types and templates used for each document type poses challenge in developing a generic background noise removal approach for automatic text information extraction technique. Embodiments herein provide a method and a system for document classification and text information extraction. Time efficient and accurate text detection engine-based Region of Interest (ROI) technique is provided to accurately identify text region followed by a multi-layered neural network based architecture for enhanced classification accuracy to identify the type of document. A multistage image pre-processing approach is provided for efficient, effective, and accurate background noise removal from the classified document, which includes unsupervised clustering, identification, segmentation, masking, contour approximation, selective subtraction, and dynamic thresholding.

Abstract: Embodiments herein achieve a method for managing display of content on one or more secondary device by a primary device. The method includes causing, by the primary device, to display a user interface comprising the content and a graphical representation of the at least one secondary device connected to the primary device. Further, the method includes detecting by the primary device an input performed to select at least one portion of the content to be displayed on the at least one secondary device. Further, the method includes transmitting by the primary device the at least one selected portion of the content to the secondary device. One or more selected portion is dynamically modified based on information about the at least one secondary device.

Abstract: This disclosure relates generally to method and system for determining label value for labels in unstructured documents. Typical systems have challenge in understanding variations in layout of unstructured documents and extract information therefrom. The disclosed method and system facilitate systematically identifying sections and bounding boxes in the page images, taking image portion of the bounding boxes and extracting labels and label values therefrom. In case the label values are not present in the same bounding box having the label, the neighboring labels are examined for the matching label values. The system also obtains label-label value pairs from the document by utilizing a trained deep learning model, and compares the output with the label-label value pairs extracted earlier. An aggregated confidence score is assigned to the text in the bounding box.

Abstract: Embodiments herein achieve a method for managing display of content on one or more secondary device by a primary device. The method includes causing, by the primary device, to display a user interface comprising the content and a graphical representation of the at least one secondary device connected to the primary device. Further, the method includes detecting by the primary device an input performed to select at least one portion of the content to be displayed on the at least one secondary device. Further, the method includes transmitting by the primary device the at least one selected portion of the content to the secondary device. One or more selected portion is dynamically modified based on information about the at least one secondary device.

Abstract: Systems and methods for associating rebate instances with rebate fulfillment comprising receiving a setup control signal; generating a one or more programs from the one or more programs; selecting one of the one or more programs as a rebate instance; and associating the rebate instance with a rebate fulfillment as an association. The method and the system may further utilize activation and login signals, as well as storing the association for further association and activation.

Abstract: A system and method for providing a rental management tool is disclosed. Information via a user interface for renting one or more rental items to a customer is received. A project corresponding to a sales order for the customer is generated, wherein the sales order includes a plurality sales order lines, at least one sales order line being a rental item and at least one sales order line being a service item. Each sales order line is converted into a corresponding individual task item in the project. One or more resource requirements are determined for task item(s), wherein at least one candidate resource and associated competency information is identified and displayed. At least one candidate resource is assigned based on selection information received from the user interface. A rental invoice is generated for the sales order and incorporates cost information associated with the plurality of sales order lines and the at least one selected candidate resource.