Abstract: A method of developing a product is provided that includes generating a digital system model (DSM) that describes the product and a manufacturing process for the product, and generating a digital twin (DTw) of an instance of a component of the manufacturing process, the DTw including a digital replica of the instance. The method includes receiving attribute data for attributes of process/process characteristics subject to sources of variation that affect product quality. The digital replica is executed with input of the attribute data, and thereby updating the DTw to replicate the instance of the component of the manufacturing process as performed. A data analysis of the manufacturing process is performed based on the DTw as updated, and the manufacturing process is modified based on the data analysis to reduce variability in one or more product characteristics. The DTws of multiple instances may be used to generate further improvement.

Abstract: Provided herein is a method, apparatus, and system for identifying a health status of an individual, by using a health challenge of the individual to gather vital sign information to generate a health status of the individual. Method for identifying health status include: generating a non-persistent identifier for a user; receiving an indication of an initiation of a health challenge for the user associated with the non-persistent identifier; receiving, responsive to the health challenge, an indication of at least one vital sign of the user; determining, from the at least one vital sign, a health status of the user; and providing an indication of the health status of the user and the associated non-persistent identifier, where the health status includes a binary indication of health of the user, and where the health status is used to permit or deny a service to the user.

Abstract: A fabric with high shielding performance and a preparation method thereof are provided. The method includes: (1) selecting a polyester textured yarn with a denier ranging from 15 D to 50 D and a polyester filament yarn with a denier ranging from 15 D to 50 D as the yarns; (2) using three guide bars for knitting in a warp knitting machine; yarn lapping movement the first guide bar and the second guide bar use the polyester textured yarn, the first guide bar and the second guide bar knit with a modified warp plain fabric structure, the third guide bar uses the polyester filament yarns, and the third guide bar knits with a chain-stitch fabric structure; (3) jet dyeing performing a direct dyeing treatment on greige by a jet dyeing machine; and (4) carrying out a Stenter setting on a setting machine.

Abstract: A method of operating an aircraft. The method includes sensing, using a trusted sensor, a trusted parameter of the aircraft during operation of the aircraft; receiving, at a processor, the trusted parameter; entering, by the processor, the trusted parameter as a first immutable entry into a ledger stored on an immutable non-transitory computer-recordable storage medium, wherein immutable is defined as unchangeability of data stored on the non-transitory computer-recordable storage medium, and wherein the ledger also contains additional immutable entries regarding operations of the aircraft and an aircraft environment; executing, by the processor, a recursive analysis algorithm on the first immutable entry together with the additional immutable entries to produce analyzed data; and using, by the processor, the analyzed data to improve future operational performance of the aircraft by ordering changes in how a component of the aircraft performs during operation of the aircraft based on the analyzed data.

Abstract: A method and system operable to perform the method is provided for control of an autonomous or unmanned system. The method includes obtaining a mission model, wherein the mission model comprises a goal and one or more assets that are used to accomplish the goal; producing, by a first hardware processor, a plan goal graph (PGG) model based on the mission model; transforming, by a second hardware processor, the PGG model into a Bayesian Network (BN) model; computing a feasibility to execute a plan and an achievability of accomplishing the goal; and providing control instructions to the one or more assets to be used to accomplish the goal.

Abstract: A method of operating an aircraft. The method includes sensing, using a trusted sensor, a trusted parameter of the aircraft during operation of the aircraft; receiving, at a processor, the trusted parameter; entering, by the processor, the trusted parameter as a first immutable entry into a ledger stored on an immutable non-transitory computer-recordable storage medium, wherein immutable is defined as unchangeability of data stored on the non-transitory computer-recordable storage medium, and wherein the ledger also contains additional immutable entries regarding operations of the aircraft and an aircraft environment; executing, by the processor, a recursive analysis algorithm on the first immutable entry together with the additional immutable entries to produce analyzed data; and using, by the processor, the analyzed data to improve future operational performance of the aircraft by ordering changes in how a component of the aircraft performs during operation of the aircraft based on the analyzed data.

Abstract: A method and system operable to perform the method is provided for control of an autonomous or unmanned system. The method includes obtaining a mission model, wherein the mission model comprises a goal and one or more assets that are used to accomplish the goal; producing, by a first hardware processor, a plan goal graph (PGG) model based on the mission model; transforming, by a second hardware processor, the PGG model into a Bayesian Network (BN) model; computing a feasibility to execute a plan and an achievability of accomplishing the goal; and providing control instructions to the one or more assets to be used to accomplish the goal.

Abstract: An apparatus is provided for directing movement of a physical object within a three-dimensional (3D) navigable region of an environment. Generally, the apparatus divides the navigable region into geometric segments, and assigns a sequence of the geometric segments from a location to a destination to, and for movement of, the physical object. That is, the apparatus assigns a next geometric segment to the physical object moving in a current geometric segment in the sequence. The next geometric segment is then analyzed based on operational parameters of the physical object and a condition of the environment. In at least one increment, the next geometric segment is adjusted and reassigned to the physical object based thereon. Thereafter, the apparatus directs the physical object to move from the current geometric segment into the next geometric segment so assigned, or into the next geometric segment so reassigned in the at least one increment.

Abstract: A method, apparatus, and scheduling system for managing a mix of time-critical messages and general messages. Messages, which are referenced by message identifiers stored in a transmission queue buffer, are scheduled for transmission using a schedule configuration table. The schedule configuration table defines an order for processing a mix of time-critical messages and general messages. The messages are scheduled according to the characteristics for time-critical messages and general messages defined in columns of configuration tables and status tables. The messages that have been scheduled are transmitted from an end system in which the time-critical messages are prioritized during transmission over the general messages.

Abstract: An apparatus is provided for directing movement of a physical object within a three-dimensional (3D) navigable region of an environment. Generally, the apparatus divides the navigable region into geometric segments, and assigns a sequence of the geometric segments from a location to a destination to, and for movement of, the physical object. That is, the apparatus assigns a next geometric segment to the physical object moving in a current geometric segment in the sequence. The next geometric segment is then analyzed based on operational parameters of the physical object and a condition of the environment. In at least one increment, the next geometric segment is adjusted and reassigned to the physical object based thereon. Thereafter, the apparatus directs the physical object to move from the current geometric segment into the next geometric segment so assigned, or into the next geometric segment so reassigned in the at least one increment.

Abstract: A system for determining a worst case latency for a specific information flow that is part of a plurality of information flows and a worst case backlog for a specific queue that is part of a plurality of queues is disclosed. The plurality of information flows and plurality of queues are part of a configuration. The system performs operations including determining a maximum busy period length for the configuration. The operations include determining a set of candidate starting times for the configuration based on the maximum busy period length. The operations further include determining a maximum layout for a plurality of information flows within the configuration. The operations include updating the worst case latency and the worst case backlog based on the maximum layout. Finally, the operations include determining the worst case latency for the specific information flow and the worst case backlog for a specific queue.

Abstract: A distributed ecosystem including an analysis computing resource and a network is disclosed. The distributed ecosystem also includes at least one sensor for monitoring a characteristic of the distributed ecosystem, at least one localized computing resource in communication with the at least one sensor, and a gateway controller. The gateway controller is in communication with the at least one sensor, the at least one localized computing resource, and the analysis computing resource. The gateway control includes control logic for monitoring the at least one sensor for a data transmit function. The gateway controller also includes control logic for determining if the at least one localized computing resource has requisite resource capabilities for processing data generated by the at least one sensor in response to the data transmit function being transmitted by the at least one sensor.

Abstract: A dynamic network and a method for performing data analysis within a dynamic network. A query request generated by a root node in the dynamic network is propagated through other nodes in the dynamic network in a number of request messages. A number of response messages responding to the query request are received at the root node from the other nodes in the dynamic network. Data analysis is performed using data contained in the number of response messages as the number of response messages is received. A request index that keeps count of the number of request messages propagated through the dynamic network is updated using a tracking parameter in each of the number of response messages.

Abstract: A method, apparatus, and scheduling system for managing a mix of time-critical messages and general messages. Messages, which are referenced by message identifiers stored in a transmission queue buffer, are scheduled for transmission using a schedule configuration table. The schedule configuration table defines an order for processing a mix of time-critical messages and general messages. The messages are scheduled according to the characteristics for time-critical messages and general messages defined in columns of configuration tables and status tables. The messages that have been scheduled are transmitted from an end system in which the time-critical messages are prioritized during transmission over the general messages.

Abstract: A system for determining a worst case latency for a specific information flow that is part of a plurality of information flows and a worst case backlog for a specific queue that is part of a plurality of queues is disclosed. The plurality of information flows and plurality of queues are part of a configuration. The system performs operations including determining a maximum busy period length for the configuration. The operations include determining a set of candidate starting times for the configuration based on the maximum busy period length. The operations further include determining a maximum layout for a plurality of information flows within the configuration. The operations include updating the worst case latency and the worst case backlog based on the maximum layout. Finally, the operations include determining the worst case latency for the specific information flow and the worst case backlog for a specific queue.

Abstract: A distributed ecosystem including an analysis computing resource and a network is disclosed. The distributed ecosystem also includes at least one sensor for monitoring a characteristic of the distributed ecosystem, at least one localized computing resource in communication with the at least one sensor, and a gateway controller. The gateway controller is in communication with the at least one sensor, the at least one localized computing resource, and the analysis computing resource. The gateway control includes control logic for monitoring the at least one sensor for a data transmit function. The gateway controller also includes control logic for determining if the at least one localized computing resource has requisite resource capabilities for processing data generated by the at least one sensor in response to the data transmit function being transmitted by the at least one sensor.

Abstract: Methods and systems for information state sharing and consistency maintenance in a distributed and decentralized network are presented. At a first node of a network, a first information state message (ISM) in a hypothesis phase is generated. The first ISM is propagated to at least one node of a spanning tree of the network, the spanning tree having a root at the first node. A verification opinion is received from the at least one node indicating if a state in the first ISM is verified by the at least one node. A consensus regarding the state in the first ISM is determined based on the verification opinion from the at least one node. A second ISM indicating a confirmed phase is propagated to the spanning tree if the consensus on the state of the ISM is reached.

Abstract: A network node for a network having dynamic link states includes a processing unit and computer-readable memory for causing the processing unit to monitor a link state of the network; perform QoS provisioning and make appropriate updates to the QoS provisioning based on changes in the link state and QoS provisioning demands of QoS-aware applications; and provide notification to the QoS-aware applications to allow those applications to dynamically adapt to the link state changes.

Abstract: One or more systems, methods, routines and/or techniques for mission-driven autonomous and adaptive resource management, for example to achieve mission objectives in Quality of Service-managed networked systems, are described. One or more resource allocation algorithms and one or more associated control architectures including component services may be used. A system and/or method may collect input parameters, evaluate system workloads and performance metrics, optimize resource allocations, and adapt to changing workloads and performance metrics to achieve mission objectives. One or more objective functions, one or more constraints and one or more optimization algorithms may be utilized to achieve optimal allocation of resources to maximize the delivered value of an objective function and/or the system. The systems, methods, routines and/or techniques described herein may be autonomic and self-adaptive without requiring human administrators to pre-determine parameters (e.g.

Abstract: A method for administering object-based multi-level security in a service oriented architecture includes: (a) defining a plurality of multi-level security attributes for each of selected respective life-cycle states of a plurality of life-cycle states of a service object; (b) receiving a request from a requestor for the service object; (c) determining permitted actions for the service object based upon at least one selected multi-level security attribute of the plurality of multi-level security attributes, and based upon at least one life-cycle state of the plurality of life-cycle states of the service object; and (d) generating a quality of service security contract based upon the determination of permitted actions.