Abstract: A loose coupling between Internet of Things (“IoT”) devices and environmental sensors is generated. Once the loose coupling has been generated, conditions in a physical environment can be managed utilizing the loosely coupled devices. For example, a hybrid machine learning/expert system can be utilized to activate the IoT devices in an environment to achieve a desired condition in an optimized manner.

Abstract: A loose coupling between Internet of Things (“IoT”) devices and environmental sensors is generated. Once the loose coupling has been generated, conditions in a physical environment can be managed utilizing the loosely coupled devices. For example, a hybrid machine learning/expert system can be utilized to activate the IoT devices in an environment to achieve a desired condition in an optimized manner.

Abstract: The techniques disclosed herein provide improvements over existing systems by dynamically controlling communication connections between two or more computing devices based on the detection of specific events. Instead of requiring a device, such as an IoT device, to be continually connected to a network or a remote device, the techniques disclosed herein enable the device to remain offline until a specific event is detected. The disclosed technologies can avoid always-on network configurations while providing a desired functionality for an IoT device. For instance, some devices only connect with other computing devices or at network in response to detection of an event, then disconnect after an exchange of specific information. Such technologies can significantly reduce the power consumption of a device by only invoking connections at appropriate times.

Abstract: The techniques disclosed herein provide improvements over existing systems by dynamically controlling communication connections between two or more computing devices based on the detection of specific events. Instead of requiring a device, such as an IoT device, to be continually connected to a network or a remote device, the techniques disclosed herein enable the device to remain offline until a specific event is detected. The disclosed technologies can avoid always-on network configurations while providing a desired functionality for an IoT device. For instance, some devices only connect with other computing devices or at network in response to detection of an event, then disconnect after an exchange of specific information. Such technologies can significantly reduce the power consumption of a device by only invoking connections at appropriate times.

Abstract: A method and system for logging messages in a test environment. Devices that display, output, store, or transmit log messages are instantiated as objects to log messages sent from a testing application. The testing application requests that a message be logged by a logger. The logger passes a formatted log message to a publisher. The publisher packages the log message in a trace object which is then published to each device that has requested messages of a type including the log message. The testing application need not be recompiled to cause log messages to be logged in a different manner.

Abstract: A method and system for logging messages in a test environment. Devices that display, output, store, or transmit log messages are instantiated as objects to log messages sent from a testing application. The testing application requests that a message be logged by a logger. The logger passes a formatted log message to a publisher. The publisher packages the log message in a trace object which is then published to each device that has requested messages of a type including the log message. The testing application need not be recompiled to cause log messages to be logged in a different manner.