Abstract: Examples of the present disclosure describe smart sensor technology. In an example, a smart sensor module may connect to a sensor using two connectors. Similarly, an external device may connect to the smart sensor module using two connectors, such that, in a pass-through operating state, a signal from the sensor is passed through the smart sensor module to the external device, thereby causing the smart sensor module to appear as an ordinary sensor and enabling the external device to sense the signal from the sensor. In another example, the smart sensor module may have an alternate operating state, wherein additional functionality is enabled, including, but not limited to, communication with a controller, activation of a light emitting diode (LED) or other indicator, or the retrieval and/or storage of information. The operating state may be selected based on the manner in which the external device connects to the smart sensor module.

Abstract: Examples of the present disclosure describe smart sensor technology. In an example, a smart sensor module may connect to a sensor using two connectors. Similarly, an external device may connect to the smart sensor module using two connectors, such that, in a pass-through operating state, a signal from the sensor is passed through the smart sensor module to the external device, thereby causing the smart sensor module to appear as an ordinary sensor and enabling the external device to sense the signal from the sensor. In another example, the smart sensor module may have an alternate operating state, wherein additional functionality is enabled, including, but not limited to, communication with a controller, activation of a light emitting diode (LED) or other indicator, or the retrieval and/or storage of information. The operating state may be selected based on the manner in which the external device connects to the smart sensor module.

Abstract: Function calls for a program are sampled to determine call counts in the program. The call counts are determined based on sampled function calls collected during sampling intervals.

Abstract: Embodiments of the present invention are directed to automated metering and monitoring systems that monitor consumption and production of various consumables, such as electrical power, gas, water, and other such consumables, within physical sites and locations as well as within more abstractly defined and specified regions. The automated metering and monitoring systems of the present invention record production and consumption data, over time, at high granularities or, in other words, at short time intervals, so that near-continuous consumption and production of consumables can be recorded, transmitted, processed, and displayed for arbitrarily-selected time intervals.

Abstract: Function calls for a program are sampled to determine call counts in the program. The call counts are determined based on sampled function calls collected during sampling intervals.

Abstract: A connection management system for a data service system that is accessible through a plurality of access requests includes a request classifier that classifies each of the access requests as either a persistent connection request or a non-persistent connection request based on a predetermined classification policy. The connection management system also includes a persistent connection request processor that allows a connection established for a persistent connection request from a first remote user terminal to remain open after the request is processed by the data service system. A non-persistent connection request processor is also included in the connection management system that causes a connection established for a non-persistent connection request from a second remote user terminal to be closed after the non-persistent connection request is processed by the data service system. In addition, a method of managing connections of the data service system is also described.