Abstract: A system for storing data collected by a body-worn sensor includes a central processing unit (CPU) that is configured to control operation of a gateway device; and one or more computer readable data storage media storing software instructions that, when executed by the CPU, cause the gateway device to: receive a MAC address of a new sensor and a protocol version associated with the new sensor from a server; attempt to contact the new sensor using the protocol version and the MAC address; when a response is received, send the response to the server for validation; when the response is validated by the server, establish communications with the new sensor; and forward data from the new sensor to a second server.

Abstract: A system for storing data collected by a body-worn sensor includes a central processing unit (CPU) that is configured to control operation of a gateway device; and one or more computer readable data storage media storing software instructions that, when executed by the CPU, cause the gateway device to: receive a MAC address of a new sensor and a protocol version associated with the new sensor from a server; attempt to contact the new sensor using the protocol version and the MAC address; when a response is received, send the response to the server for validation; when the response is validated by the server, establish communications with the new sensor; and forward data from the new sensor to a second server.

Abstract: Mobile wireless devices may receive data streams from multiple remote sensors. The sensors may have limited power supplies and memory capacity. Aspects of the invention use statistical characteristics of the sensor data streams and the cost of acquiring a single element of each stream to determine what sequence the sensors should send their data streams in. The cost of acquiring the data may be modified dynamically, depending on parameters such as block size. Additional factors, such as a sensor's buffer capacity, may limit the amount of stream elements that may be cached and affect the sensors' stream transmit sequence. The evaluation order may be dynamically modified using an event processing engine, to reflect both changing statistics of underlying sensor stream tuples and time-varying acquisition costs associated with individual streams. This helps to increase in the operational lifetime of the sensors and associated monitoring applications.

Abstract: Mobile wireless devices may receive data streams from multiple remote sensors. The sensors may have limited power supplies and memory capacity. Aspects of the invention use statistical characteristics of the sensor data streams and the cost of acquiring a single element of each stream to determine what sequence the sensors should send their data streams in. The cost of acquiring the data may be modified dynamically, depending on parameters such as block size. Additional factors, such as a sensor's buffer capacity, may limit the amount of stream elements that may be cached and affect the sensors' stream transmit sequence. The evaluation order may be dynamically modified using an event processing engine, to reflect both changing statistics of underlying sensor stream tuples and time-varying acquisition costs associated with individual streams. This helps to increase in the operational lifetime of the sensors and associated monitoring applications.

Abstract: Mobile wireless devices may receive data streams from multiple remote sensors. The sensors may have limited power supplies and memory capacity. Aspects of the invention use statistical characteristics of the sensor data streams and the cost of acquiring a single element of each stream to determine what sequence the sensors should send their data streams in. The cost of acquiring the data may be modified dynamically, depending on parameters such as block size. Additional factors, such as a sensor's buffer capacity, may limit the amount of stream elements that may be cached and affect the sensors' stream transmit sequence. The evaluation order may be dynamically modified using an event processing engine, to reflect both changing statistics of underlying sensor stream tuples and time-varying acquisition costs associated with individual streams. This helps to increase in the operational lifetime of the sensors and associated monitoring applications.

Abstract: A gateway device includes a transceiver in electrical communication with a processor, the transceiver being configured to communicate over a wireless network to both receive data from at least one body-worn sensor and transmit the data, and a plurality of indicator lights in electrical communication with the processor. A first of the indicator lights indicates successful power-on of the gateway device. A second of the indicator lights indicates establishment of a Bluetooth connection with a body-worn sensor. A third of the indicator lights indicates successful creation of a WiFi connection. A fourth of the indicator lights indicate successful creation of a cellular connection.

Abstract: Mobile wireless devices may receive data streams from multiple remote sensors. The sensors may have limited power supplies and memory capacity. Aspects of the invention use statistical characteristics of the sensor data streams and the cost of acquiring a single element of each stream to determine what sequence the sensors should send their data streams in. The cost of acquiring the data may be, modified dynamically, depending on parameters such as block size. Additional factors, such as a sensor's buffer capacity, may limit the amount of stream elements that may be cached and affect the sensors' stream transmit sequence. The evaluation order may be dynamically modified using an event processing engine, to reflect both changing statistics of underlying sensor stream tuples and time-varying acquisition costs associated with individual streams. This helps to increase in the operational lifetime of the sensors and associated monitoring applications.

Abstract: A scalable middleware for supporting energy-efficient, long-term remote health monitoring and the capture and transmission of relative causative contextual history where data is collected using physiological sensors and transported back to the middleware through a mobile device serving as a gateway. The key to energy efficient operations lies in the adoption of an Activity Triggered Deep Monitoring paradigm, where data collection episodes are triggered only when the system is determined to possess a specified set of causative contexts. The system supports on-demand collection of causative contextual history using a low-overhead provenance collection sub-system. In a preferred embodiment the behavior of this sub-system is configured using an application-defined context composition graph. The resulting causative context history stream provides valuable insight into the states and conditions surround sensor readings and allows improved human interpretation of the ‘episodic’ sensor data streams.

Abstract: An abrasive composition comprising non-polymeric organic particles that is useful for chemical mechanical planarization (CMP), and which can widely be used in the semiconductor industry. The inventive compositions preferably comprise soft water in combination with 0.001–20 w/w % of non-polymeric organic particles, 0.1–10 w/w % of an oxidizing agent, 0.05–10 w/w % of a chelating agent, 0.01–10 w/w % of a surfactant, and 0–10 w/w % of a passivation agent at a pH in the range of 2–12, wherein said percentages are w/w (weight/weight) percentages, based on the total weight of said compositions. The abrasive compositions provide an efficient polishing rate, excellent selectivity and good surface quality when utilized as a new abrasive composition in CMP applications.