Abstract: A transaction card includes a near-field communication (NFC) component, a security component, a wireless component, one or more memories, and one or more processors communicatively coupled to the one or more memories. The device receives a signal from a user device attempting to access a secure application, and energizes the NFC component based on the signal received from the user device. The device causes the security component to generate an encrypted code based on the NFC component being energized, and provides, via the security component, the encrypted code to the wireless component. The device provides, via the wireless component, the encrypted code to the user device to permit the user device to utilize the encrypted code as authentication for accessing the secure application.

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: In some implementations, a near field communication (NFC) device may determine whether the NFC device is to perform a wireless transaction in a powered mode or an unpowered mode, and may selectively perform the wireless transaction in the powered mode or the unpowered mode based on determining whether the NFC device is to perform the wireless transaction in the powered mode or the unpowered mode. The wireless transaction may be performed using power from a power source internal to the NFC device when the wireless transaction is performed in the powered mode. The wireless transaction may be performed without using power from the power source internal to the NFC device when the wireless transaction is performed in the unpowered mode.

Abstract: The present disclosure relates to systems and methods for using multicomputer data transferring to active contactless communication. In one example, such a system may include at least one memory storing instructions and at least one processor configured to execute the instructions to perform one or more operations, the operations including: receiving a transaction associated with a merchant on a list of merchants stored in the at least one memory; determining, based on the merchant, a remote server associated with the merchant; assembling a data packet including an identifier of the contactless card and an identifier of the transaction; transmitting the data packet to the determined server across one or more computer networks; receiving confirmation from the determined sever in response to the data packet; and transmitting the confirmation to a user device associated with the transaction.

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 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: 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 tabulation drive mechanism is described for use with an asynchronous printer mechanism of the sort including a rotating type wheel which has its characters arranged thereon along a helical path. The wheel is rotated continuously about the axis of the helical path during printing and a print drive mechanism includes a lead screw which is coupled to the wheel. A rack and pawl mechanism selectively holds the print wheel at columnar printing positions. The tabulation drive mechanism is basically independent of, and in addition to, the lead screw for driving the print wheel to the right or left during tabulation. The tabulation drive mechanism includes two oppositely acting motors which are linked to the print wheel via magnetic particle clutches. A logic circuit activating the magnetic clutches coordinates the print and tabulation drive mechanisms.