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Patent Agency Ranking
公开(公告)号：US20230267400A1
公开(公告)日：2023-08-24
申请号：US18066782
申请日：2022-12-15
Applicant: Architecture Technology Corporation
Inventor： Paul Nicotera , Joseph Sirianni , Ryan Lee Hagelstrom , Robert A. Joyce , Tyler J. Mitchell , Kenneth McVearry
IPC: G06Q10/08 , G06N5/04 , G06Q10/0631 , G06Q10/0639
CPC classification number: G06Q10/08 , G06N5/04 , G06Q10/06315 , G06Q10/06393
Abstract: A warehouse management system may receive a predictive analytics request associated with one or more warehouses and may, in response, input data associated with the one or more warehouses into a warehouse management model to determine one or more predictive analytics associated with the one or more warehouses, where the warehouse management model is trained via machine learning to determine the predictive analytics. The warehouse management system may perform simulations of operations of the one or more warehouses based on the one or more predictive analytics to determine one or more warehouse actions to meet one or more operational requirements. The warehouse management system may communicate the one or more warehouse actions to one or more devices associated with the one or more warehouses to enable the one or more devices to operate according to the one or more warehouse actions to meet the one or more operational requirements.
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公开(公告)号：US10452466B1
公开(公告)日：2019-10-22
申请号：US15826527
申请日：2017-11-29
Applicant: Architecture Technology Corporation
Inventor： Tyler J. Mitchell , Kenneth McVearry
Abstract: An example method includes receiving one or more cross-platform system maintenance rules that are generated by and sent from a central server computing system, determining a type of software operating system currently being executed by a client computing system, determining, based on the one or more cross-platform system maintenance rules and further based on the type of software operating system, one or more platform-specific system maintenance rules that specify one or more platform-specific system maintenance operations and scheduling information, and determining, based on scheduling information identified by the one or more platform-specific system maintenance rules, a schedule indicating when to perform the one or more platform-specific system maintenance operations. The example method includes initiating performance of the one or more platform-specific system maintenance operations in accordance with the schedule, collecting one or more results, and generating and sending at least one summary report.
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公开(公告)号：US11652839B1
公开(公告)日：2023-05-16
申请号：US16401592
申请日：2019-05-02
Applicant: Architecture Technology Corporation
Inventor： Scott Aloisio , Robert A. Joyce , Kenneth McVearry , Mark E. Peters
CPC classification number: H04L63/1433 , G06F21/552 , G06F21/577 , H04L63/1408 , H04L63/1416 , H04L63/1441 , G06F2221/034
Abstract: An attack tree model for an aviation system comprises a plurality of tree nodes organized as a tree. For each tree node of the attack tree model model, the tree node corresponds to a respective event that may befall aviation system. An analysis computing system generates one or more attack tree models for the aviation system, wherein the aviation system includes one or more systems, sub-systems, or components. The analysis computing system further performs an assessment of one or more of the system, sub-systems, or components of the aviation system using the one or more attack tree models, and outputs metrics indicative of the assessment.
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公开(公告)号：US11508253B1
公开(公告)日：2022-11-22
申请号：US16789262
申请日：2020-02-12
Applicant: ARCHITECTURE TECHNOLOGY CORPORATION
Inventor： Scott Aloisio , Joseph Sirianni , Kenneth McVearry , Robert A. Joyce
IPC: G06F3/0481 , G06F3/0484 , G06F3/13 , G09B9/00 , G09B19/00 , G06F3/01 , G06F3/04815 , G09B5/00
Abstract: Disclosed herein are embodiments for managing a virtual reality (VR) training exercise via a management server. The management server outputs a graphical dashboard including one or more skill nodes, and selects one or more software agents associated with the skill nodes. The management server provides the software agents to at least one host computing system communicatively coupled to a near-to-eye display device. The near-to-eye display device is configured to display a virtual three dimensional (3D) training environment including a plurality of interactive 3D virtual objects. The software agents are configured to collect VR observables data while the trainee performs actions within the virtual 3D training environment. Based on the VR observables data collected, the management server determines that one or more skills have been demonstrated during the training exercise, and updates the one or more skill nodes to graphically indicate the one or more skills demonstrated by the trainee.
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公开(公告)号：US10970159B1
公开(公告)日：2021-04-06
申请号：US16574697
申请日：2019-09-18
Applicant: Architecture Technology Corporation
Inventor： Tyler J. Mitchell , Kenneth McVearry
Abstract: An example method includes receiving one or more cross-platform system maintenance rules that are generated by and sent from a central server computing system, determining a type of software operating system currently being executed by a client computing system, determining, based on the one or more cross-platform system maintenance rules and further based on the type of software operating system, one or more platform-specific system maintenance rules that specify one or more platform-specific system maintenance operations and scheduling information, and determining, based on scheduling information identified by the one or more platform-specific system maintenance rules, a schedule indicating when to perform the one or more platform-specific system maintenance operations. The example method includes initiating performance of the one or more platform-specific system maintenance operations in accordance with the schedule, collecting one or more results, and generating and sending at least one summary report.
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