Techniques for fast startup for composite nodes in software-defined infrastructures (SDI) are described. A SDI system may include an SDI manager component, including one or more processor circuits to access one or more remote resources, the SDI manager component may including a node manager to determine, based upon one or more reservation tables stored in a non-transitory computer-readable storage medium, an initial set of resources for creating the composite node from among the one or more remote resources. The partition manager may create the composite node using the initial set of resources, the initial set of resources is a subset of resources required by the composite node. Other embodiments are described and claimed.

Techniques for migration for composite nodes in software-defined infrastructures (SDI) are described. A SDI system may include a SDI manager component, including one or more processor circuits, configured to access one or more remote resources, the SDI manager component may include a partition manager configured to receive a request to create a composite node from an orchestrator component, the request including at least one preferred compute sled type and at least one alternative compute sled type. The SDI manager may create a composite node using a first compute sled matching the at least one alternative compute sled type. The SDI manager may determine, based upon a migration table stored on a non-transitory computer-readable storage medium that a second compute sled matching the at least one preferred compute sled type is available. The SDI manager may perform an migration from the first compute sled to the second compute sled. Other embodiments are described and claimed.

A cloud-based monitoring apparatus includes a cloud-based network system, a cloud-based database connected with the cloud-based network system, at least one gateway control unit connected with the cloud-based network system, at least one mobile apparatus connected signally with the cloud-based database, at least one basic detection module connected signally with the gateway control unit, at least one serial bus module connected signally with the gateway control unit, at least one analog I/O module connected signally with the gateway control unit, at least one digital I/O module connected signally with the gateway control unit, and an ISP connected signally with the cloud-based database. The gateway control unit, the basic detection module, the serial bus module, the analog I/O module, and the digital I/O module are all mounted in a monitored environment and have at least individual monitor parameters.

A communication system includes one or more node devices having routing circuitry configured to receive data from one or more other node devices within a communication network and to send the data to at least one other node device or a final destination device and a scheduling controller configured to generate schedules for sending the data through the routing circuitry within the communication network. The scheduling controller communicates with one or more other scheduling controllers in the one or more other node devices in generate the schedules for sending the data through the communication network.

An advanced metering infrastructure (AMI) system includes a meter data management system, an AMI network, a network communication module and metering devices. The AMI network connects to a reference time clock and the meter data management system. The network communication module connects to the AMI network and is in communication with the reference time clock via the AMI network. Each metering device is connected to the network communication module and has a metrology device and a communication module device. The communication module device provides clock adjustments to the metrology clock and/or its own clock. The metrology device provides clock adjustments to the communications module clock and/or its own clock. Methods for use in an advanced metering infrastructure (AMI) system provide clock adjustments.

Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters, and performing at least operations of electronically establishing, based on pattern recognition criteria, correspondence of a plurality of representative features a plurality of characteristics of an occurrence, where a first instance of the occurrence occurred within a first time period of a plurality of time periods; electronically discovering, based on the correspondence, a second instance of the occurrence in an environment during a second time period of the plurality of time periods; and electronically causing, based on the discovery of the second instance of the occurrence, a change in the environment via an electronically-controlled device.

Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters, and performing at least operations of electronically establishing, based on pattern recognition criteria, correspondence of a plurality of representative features a plurality of characteristics of an occurrence, where a first instance of the occurrence occurred within a first time period of a plurality of time periods; electronically discovering, based on the correspondence, a second instance of the occurrence in an environment during a second time period of the plurality of time periods; and electronically causing, based on the discovery of the second instance of the occurrence, a change in the environment via an electronically-controlled device.

A brushing tracker configured to be mounted to a toothbrush has a motion sensor and a transceiver that collect and output raw motion data. The raw motion data is received by a relay and forwarded to a cloud-based remote processing system that processes the raw motion data to determine brushing adequacy based on predetermined criteria. The motion sensor and transceiver are disposed in a flexible case. An attachment band enables the brushing tracker to be affixed to a standard toothbrush for use and affixed to a different toothbrush when desired.

This application provides a measurement method and apparatus. The method includes: A first device obtains a k.sup.th first sensing result output by a first sensing neural network usable for a first sensing task, the k.sup.th first sensing result is determined based on measurement results of N measurement devices that are obtained through selection from M measurement devices for k times based on a selection neural network, 1kN<M, and k, M, and N are positive integers. When a selection termination condition is not met, the first device selects L measurement devices based on the selection neural network and the k.sup.th first sensing result, where 1L<M, and Lis a positive integer. The first device obtains a (k+1).sup.th first sensing result output by the first sensing neural network, where the (k+1).sup.th first sensing result is determined based on measurement results of the N measurement devices and the L measurement devices.

Computer-implemented systems utilizing sensor networks for sensing temperature and motion environmental parameters, and performing at least operations of electronically establishing, based on pattern recognition criteria, correspondence of a plurality of representative features a plurality of characteristics of an occurrence, where a first instance of the occurrence occurred within a first time period of a plurality of time periods; electronically discovering, based on the correspondence, a second instance of the occurrence in an environment during a second time period of the plurality of time periods; and electronically causing, based on the discovery of the second instance of the occurrence, a change in the environment via an electronically-controlled device.