Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A Software in the Loop (SiL) system and method is disclosed which may include a simulator operable to provide an environment to simulate dynamic systems, enable rapid development, validation of systems, and testing of complex systems. The system and method may include assembling one or more unsecured models operable to simulate the real-world system. The system and method may then encrypt and generate at least one secured model from the one or more unsecured models using a first cryptographic key. The at least one secured model may be decrypted using a sealed decryption key. The decrypted secured model may then be executed within the one or more TEEs. The at least one secured model may be operable to process incoming data and outgoing data.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A Software in the Loop (SiL) system and method is disclosed which may include a simulator operable to provide an environment to simulate dynamic systems, enable rapid development, validation of systems, and testing of complex systems. The system and method may include assembling one or more unsecured models operable to simulate the real-world system. The system and method may then encrypt and generate at least one secured model from the one or more unsecured models using a first cryptographic key. The at least one secured model may be decrypted using a sealed decryption key. The decrypted secured model may then be executed within the one or more TEEs. The at least one secured model may be operable to process incoming data and outgoing data.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A system and method for detecting speech from occupants in a building management system is disclosed. Building management systems include fire alarm systems, building automation systems and security systems, in examples. Installed devices deployed within the building include audio transducers that detect speech from the occupants, and a management system panel processes the information from the installed devices and processes the detected speech from the occupants. In a fire alarm system, in one example, the fire alarm panel processes the detected speech from fire sensor devices and alarm notification devices as the installed devices. The fire alarm panel and/or its installed devices can identify commands from the detected speech for controlling and testing the fire alarm management system. In embodiments, Artificial Intelligence (AI) subsystems can be further added to the building management systems for control and information services.

Abstract: A building management system with artificial intelligence based control of a building includes data collectors are configured to receive data and generate data streams for subsystems of the building. The system includes a learning engine configured to identify a building state of the building by correlating data of the data streams for the subsystems and provide the identified building state to cognitive agents. The system includes the cognitive agents, each of the cognitive agents configured to receive the identified building state from the learning engine, generate a control decision based on the received building state, and operate at least one of the plurality of subsystems of the building to control a physical condition of the building based on the control decision.

Abstract: A system and method for detecting speech from occupants in a building management system is disclosed. Building management systems include fire alarm systems, building automation systems and security systems, in examples. Installed devices deployed within the building include audio transducers that detect speech from the occupants, and a management system panel processes the information from the installed devices and processes the detected speech from the occupants. In a fire alarm system, in one example, the fire alarm panel processes the detected speech from fire sensor devices and alarm notification devices as the installed devices. The fire alarm panel and/or its installed devices can identify commands from the detected speech for controlling and testing the fire alarm management system. In embodiments, Artificial Intelligence (AI) subsystems can be further added to the building management systems for control and information services.

Abstract: The methods, devices, and systems of the various embodiments may include an esophageal probe including and elongate tube, at least one pair of pacing electrodes and at least one temperature sensor. The elongate tube may include a proximal end for coupling to a handle and a distal end for insertion into an esophagus of a patient. The pair of pacing electrodes may be disposed at the distal end of the elongate tube, along with the temperature sensor. The temperature monitoring equipment may monitor the temperatures sensor, enable pacing to be conducted using the pair of pacing electrodes when measured temperature is within one or more thresholds, and preventing pacing from being conducted when measured temperature is not within the one or more thresholds.

Abstract: A method for operating a vehicle having a hybrid drive, which vehicle is driven by a first drive unit implemented as internal combustion engine, and a second drive unit, which may be an electric motor, the first drive unit and the second drive unit contributing to the drive of the vehicle individually or jointly. In a method for operating a vehicle having a hybrid drive, in which the driver is informed about the connection of the different drive units, haptic feedback is provided to the driver when the previously idle drive unit is connected to the drive unit that is in operation.

Abstract: A method for unwinding tacky elastomeric yarn from one or multiple coiled yarn packages includes the steps of (a) removing tubular cores from each yarn package to expose the beginning end of the yarn strand at the inner diameter of the yarn package; (b) forming a terminal end of the yarn strand at a position along the length of the strand between the inner diameter and outer diameter of the yarn package; (c) when unwinding multiple coiled yarn packages, attaching the terminal end of the first yarn package to a beginning end of a next yarn package; and (d) unwinding by pulling the beginning end of the first yarn package in a generally axial direction to remove yarn from the inside of the package from the inner diameter toward the outer diameter. This method provides inside-out unwinding of a single package, or continuous unwinding of multiple packages of elastomeric yarn at a reduced overall yarn tension, and minimizes unwinding tension spikes.

Abstract: A method for unwinding tacky elastomeric yarn from one or multiple coiled yarn packages includes the steps of (a) removing tubular cores from each yarn package to expose the beginning end of the yarn strand at the inner diameter of the yarn package; (b) forming a terminal end of the yarn strand at a position along the length of the strand between the inner diameter and outer diameter of the yarn package; (c) when unwinding multiple coiled yarn packages, attaching the terminal end of the first yarn package to a beginning end of a next yarn package; and (d) unwinding by pulling the beginning end of the first yarn package in a generally axial direction to remove yarn from the inside of the package from the inner diameter toward the outer diameter. This method provides inside-out unwinding of a single package, or continuous unwinding of multiple packages of elastomeric yarn at a reduced overall yarn tension, and minimizes unwinding tension spikes.

Abstract: A refurbishing device (10) for a fish tape (12) comprising a base (14) and three studs (16). An assembly (18) is for attaching the studs (16) in equally spaced apart locations through the base (14), so that the studs (16) will extend from a bottom side (20) of the base (14). A handle (22) is also provided. An assemblage (24) is for securing the handle (22) to a top side (20) of the base (14) opposite from the studs (16). A person (28) can grasp the handle (22) with a first hand (30) and pull the coiled fish tape (12) between the studs (16) approximately three times with a second hand (32), thus reconditioning the fish tape (12) to like a new, straight and usable condition.

Abstract: Photoconductor scumming in an electrophotographic copying machine is substantially eliminated by using a synthetic fiber cleaning brush that is substantially free from low yield strength, low surface energy materials.

Abstract: A third rail warning device in which the third rail carries in use a dangerously high voltage. Connected to the third rail is a source of relatively safe voltage as a warning that the dangerously high voltage is about to be applied to the third rail. A time delay is employed to terminate the safe voltage and permit automatic connection of the dangerously high voltage, and an alarm is actuated when the safe voltage is being applied to the third rail.