Abstract: A communication system with a master device configured to determine location information in real-time with respect to a portable device. The master device may direct one or more monitor devices to monitor communications that occur over a primary communication link. The monitor devices may sense characteristic information about the signal from the portable device, and communicate this characteristic information to the master device via an auxiliary communication link. The communication system may determine location of the portable device, authenticate the portable device, determine whether the portable device is authorized to allow or initiate an action, and command or enable an action with respect to equipment.

Abstract: A tool for supporting mustering in a facility is provided. The tool includes a mobile computing device comprising a display unit, a memory and a processor. The memory has executable instructions of an application stored thereon, which, when executed, cause the processor to communicate with monitoring and control systems of the facility, to conduct a registration of the user of the mobile computing device and to display on the display unit an interface. The interface includes a first interface element by which the user indicates his/her safety level, a second interface element by which the user self-identifies as a mayor and a map. The map includes first information received from the monitoring and control systems, second information relating to predefined static muster points and third information relating to dynamic muster points of users self-identifying as mayors.

Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g.

Abstract: An exemplary method for analyzing an error log file includes receiving an error log file at a processor, the error log file including a plurality of distinct entries, determining a token pattern of each entry by tokenizing each of the distinct entries, and grouping the plurality of distinct entries into groups having similar token patterns.

Abstract: A method of providing a seamless hands-free reader route to a destination includes receiving, at a mobile device, a route from a starting point to the destination, the route including an ordered list of access control devices. An event that triggers a start of the route is detected at the mobile device. The method also includes performing, at the mobile device, for each of the access control devices in an order of the access control devices in the ordered list: scanning for a signal from the access control device; and based on receiving the signal from the access control device, transmitting a message to the access control device, the message including a request to unlock the access control device and a credential that is authorized to unlock the access control device, the credential assigned to a user of the mobile device.

Abstract: A tool for supporting mustering in a facility is provided. The tool includes a mobile computing device comprising a display unit, a memory and a processor. The memory has executable instructions of an application stored thereon, which, when executed, cause the processor to communicate with monitoring and control systems of the facility, to conduct a registration of the user of the mobile computing device and to display on the display unit an interface. The interface includes a first interface element by which the user indicates his/her safety level, a second interface element by which the user self-identifies as a mayor and a map. The map includes first information received from the monitoring and control systems, second information relating to predefined static muster points and third information relating to dynamic muster points of users self-identifying as mayors.

Abstract: A method of providing a seamless hands-free reader route to a destination includes receiving, at a mobile device, a route from a starting point to the destination, the route including an ordered list of access control devices. An event that triggers a start of the route is detected at the mobile device. The method also includes performing, at the mobile device, for each of the access control devices in an order of the access control devices in the ordered list: scanning for a signal from the access control device; and based on receiving the signal from the access control device, transmitting a message to the access control device, the message including a request to unlock the access control device and a credential that is authorized to unlock the access control device, the credential assigned to a user of the mobile device.

Abstract: An exemplary method for analyzing an error log file includes receiving an error log file at a processor, the error log file including a plurality of distinct entries, determining a token pattern of each entry by tokenizing each of the distinct entries, and grouping the plurality of distinct entries into groups having similar token patterns.

Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g.

Abstract: A method, and a system using the method, of controlling a towing vehicle that is connected to a vehicle trailer. The method includes sensing a set of vehicle targets and a set of vehicle conditions in response to the set of vehicle targets. The method also includes determining a plurality of differences between the set of vehicle targets and the set of vehicle conditions, determining a trend of the plurality of differences, generating at least one of a symmetric signal and an asymmetric signal based on the trend, and actuating a vehicle system with the at least one of a symmetric signal and an asymmetric signal.

Abstract: A device and methods for performing a closed-chain exercise for the lower extremities of a human subject and, in particular, the legs, using stimulation. The device may include a sled for receiving the subject and for translating to and fro between a first, lower position in which the legs are at least partially bent and a second, higher position in which the legs are less bent than in the first position. A stimulator is provided for facilitating the performance of the closed-chain leg exercise by the subject to move the sled between the first and second positions, either by way of electrical signals provided directly to the applicable muscles or by way of sensory (e.g., visual) stimulation, with or without electro-muscular stimulation. In another aspect, adaptive feed-forward control may also be used to enhance the exercise regimen performed using the device.

Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g.

Abstract: The present invention provides a method for controlling nonlinear control problems within particle accelerators. This method involves first utilizing software tools to identify variable inputs and controlled variables associated with the particle accelerator, wherein at least one variable input parameter is a controlled variable. This software tool is further operable to determine relationships between the variable inputs and controlled variables. A control system that provides variable inputs to and acts on controller outputs from the software tools tunes one or more manipulated variables to achieve a desired controlled variable, which in the case of a particle accelerator may be realized as a more efficient collision.

Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g.

Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g.

Abstract: A method and device for hygienically delivering a liquid food to or from a food or beverage dispenser by delivering a flow of liquid food through an outlet positioned at a distance of all surfaces of the dispenser and by frequently cleaning the outlet with a flow of cleaning liquid directed onto the external surfaces demarcating the outlet to eliminate the liquid and solid food residue. The device may include a connection fitment with an elongated food delivery member which is configured to connect to a cleaning chamber of the dispenser. The device can be easier and more conveniently cleaned and/or sanitized enabling the dispensing of microbial sensitive food products such as milk concentrate and the like.

Abstract: A method, and a system using the method, of controlling a towing vehicle that is connected to a vehicle trailer. The method includes sensing a set of vehicle targets and a set of vehicle conditions in response to the set of vehicle targets. The method also includes determining a plurality of differences between the set of vehicle targets and the set of vehicle conditions, determining a trend of the plurality of differences, generating at least one of a symmetric signal and an asymmetric signal based on the trend, and actuating a vehicle system with the at least one of a symmetric signal and an asymmetric signal.

Abstract: System and method for training a support vector machine (SVM) with process constraints. A model (primal or dual formulation) implemented with an SVM and representing a plant or process with one or more known attributes is provided. One or more process constraints that correspond to the one or more known attributes are specified, and the model trained subject to the one or more process constraints. The model includes one or more inputs and one or more outputs, as well as one or more gains, each a respective partial derivative of an output with respect to a respective input. The process constraints may include any of: one or more gain constraints, each corresponding to a respective gain; one or more Nth order gain constraints; one or more input constraints; and/or one or more output constraints. The trained model may then be used to control or manage the plant or process.

Abstract: The present invention provides a method for controlling nonlinear control problems within particle accelerators. This method involves first utilizing software tools to identify variable inputs and controlled variables associated with the particle accelerator, wherein at least one variable input parameter is a controlled variable. This software tool is further operable to determine relationships between the variable inputs and controlled variables. A control system that provides variable inputs to and acts on controller outputs from the software tools tunes one or more manipulated variables to achieve a desired controlled variable, which in the case of a particle accelerator may be realized as a more efficient collision.

Abstract: A device for storing and dispensing a substance includes a container having a body defining therein a storage chamber for receiving and storing the substance. The container includes a first passageway that is in fluid communication with the storage chamber of the body and defines a flow path therebetween. The container also includes a pierceable wall located on an opposite side of the first passageway relative to the storage chamber, and a first threaded connecting portion located at one end of the body for connecting another component thereto. The device also includes a one-way valve assembly that includes a valve body including a body base defining a second passageway and a piercing portion mounted within the valve body and engageable with the pierceable wall of the container.