Abstract: Information-security LoRa-wave sensing is used to protect ATMs with LoRa modulator with spread-spectrum modulation techniques and/or transparent laser-guided systems 3D image generation to scan/monitor ATM card slots and ATM keypads for skimmers, fake keypads, etc. Sensor(s) with a DCNN/StNet-based algorithm are trained on 3D dimensions for card slot and keypad. Normal vs. detected constant weight of the keypad as well as weight distribution when keys are depressed are detected. Normal vs. disrupted signals based on the foregoing are observed and used to detect unauthorized objects. NB-IoT LoRa-waves initiate an alarm process. Additional features, functionality, and details are disclosed.

Abstract: Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request, and may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify, for each of a plurality of consensus methods, a subset of existing blocks that, when used to perform the corresponding consensus method, uses a minimum number of the existing blocks to perform the corresponding consensus method. The computing platform may store, in the distributed ledger, block combinations having the minimum number for each of the plurality of consensus methods, and may execute, using each corresponding identified subset of the existing blocks, each of the plurality of consensus methods. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request.

Abstract: Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request and extract information from it. The computing platform may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify a consensus method by identifying, for each of a plurality of consensus methods, a subset of blocks from the distributed ledger that, when used to execute the corresponding consensus method, result in a lowest energy consumption value in comparison to remaining subsets of blocks. The computing platform may execute each consensus method using the corresponding identified subset of blocks, which may result in establishing consensus to process the asset transfer request. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request accordingly.

Abstract: Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request and extract information from it. The computing platform may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify a consensus method by identifying, for each of a plurality of consensus methods, a subset of blocks from the distributed ledger that, when used to execute the corresponding consensus method, result in a lowest energy consumption value in comparison to remaining subsets of blocks. The computing platform may execute each consensus method using the corresponding identified subset of blocks, which may result in establishing consensus to process the asset transfer request. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request accordingly.

Abstract: Aspects of the disclosure relate to processing asset transfers. A computing platform may receive an asset transfer request, and may modify a distributed ledger to include a new block corresponding to the asset transfer request. The computing platform may identify, for each of a plurality of consensus methods, a subset of existing blocks that, when used to perform the corresponding consensus method, uses a minimum number of the existing blocks to perform the corresponding consensus method. The computing platform may store, in the distributed ledger, block combinations having the minimum number for each of the plurality of consensus methods, and may execute, using each corresponding identified subset of the existing blocks, each of the plurality of consensus methods. Based on establishing the consensus, the computing platform may direct an event processing platform to process the asset transfer request, which may cause the event processing platform to process the request.

Abstract: Embodiments of the invention are directed to systems, methods and computer program products for use in financial forecast systems, where historical financial data is analyzed for purposes of providing projected financial statements. An exemplary apparatus is configured to receive financial data, from a predetermined period of time in the past that is associated with a business entity requesting to receive projected financial statements, analyze the financial data from the predetermined period of time in the past, and determine based on the analysis a financial forecast for the entity for a predetermined period of time in the future, and provide one or more projected financial statements for the predetermined time period in the future based at least partially on the financial forecast of the entity.

Abstract: The present invention provides a system, method and computer program product for generating automated reports. Input data from various spreadsheets is consolidated. Thereafter, based on the input data, a set of output values are determined. The output values are then updated in a form that serves as a template for the report. Subsequently, the form is submitted to a recipient.