Provided is a storage device including: a first storage region comprising a plurality of sensor regions for the plurality of the sensors; a second storage region into which a data set is written, the data set being generated by reading, from the respective plurality of sensor regions, sampling data of a sensor having a longest sampling period among the plurality of sensors for one period and sampling data of other sensors for a period corresponding to the period in which the sampling data of the sensor for the one period is generated and integrating the sampling data; and a control unit configured to write the sampling data of the plurality of sensors into the plurality of sensor regions, respectively, in a ring buffer format and generate the data set at a predetermined timing and write the data set into the second storage region in the ring buffer format.

A system, method and device for automated association of a device and a power meter. For example, the method includes determining a power profile for a power meter, determining device-specific power information for each of a plurality of devices, comparing the device-specific power information for each of the plurality of devices against the power profile for the power meter, determining, based upon the comparing, which of the plurality of devices is associated with the power meter, and recording the power meter and its associated device in a network management record. The techniques may be extended to include associating multiple multifunction print devices to one of a plurality of power meters based upon power log and job arrival information for the print devices as compared to power profile information from the power meters, thereby providing for automated associated of the devices and the power meters without unnecessary human interaction.

A system, method and device for automated association of a device and a power meter. For example, the method includes determining a power profile for a power meter, determining device-specific power information for each of a plurality of devices, comparing the device-specific power information for each of the plurality of devices against the power profile for the power meter, determining, based upon the comparing, which of the plurality of devices is associated with the power meter, and recording the power meter and its associated device in a network management record. The techniques may be extended to include associating multiple multifunction print devices to one of a plurality of power meters based upon power log and job arrival information for the print devices as compared to power profile information from the power meters, thereby providing for automated associated of the devices and the power meters without unnecessary human interaction.

Presented here are system and methods for collecting information from devices, such as sensors, that are not necessarily connected to the Internet. Multiple sensors are distributed in a geographic area. The sensors power up every 10 minutes to gather data about the environment and then power down to save battery. A collecting device, i.e., a device attached to a moving object, traverses the geographic area containing the sensors, and continuously sends wake-up signals into the environment. When a sensor is within 20 feet of the collecting device, and receives the wake-up signal, the sensor uploads the gathered data to the collecting device. Subsequently, when the collecting device establishes an Internet connection, the collecting device uploads the gathered data to a central database.

Presented here are system and methods for collecting information from devices, such as sensors, that are not necessarily connected to the Internet. Multiple sensors are distributed in a geographic area. The sensors power up every 10 minutes to gather data about the environment and then power down to save battery. A collecting device, i.e., a device attached to a moving object, traverses the geographic area containing the sensors, and continuously sends wake-up signals into the environment. When a sensor is within 20 feet of the collecting device, and receives the wake-up signal, the sensor uploads the gathered data to the collecting device. Subsequently, when the collecting device establishes an Internet connection, the collecting device uploads the gathered data to a central database.

An empirical data management system (EDMS), such as an electronic laboratory notebook (ELN) system, includes an application server running an EDMS server application, a data storage system containing data in communication with the application server, and an environmental sensor unit in communication with the application server. The data comprises environmental data received from the environmental sensor unit.

An empirical data management system (EDMS), such as an electronic laboratory notebook (ELN) system, includes an application server running an EDMS server application, a data storage system containing data in communication with the application server, and an environmental sensor unit in communication with the application server. The data comprises environmental data received from the environmental sensor unit.

Signal processing apparatus includes: an input interface configured to receive an output signal V.sub.a(T) from a sensor; a prediction circuit configured to generate, on the basis of a relationship different depending on each of a plurality of converged values V.sub.c, a plurality of predicted values V.sub.b_T2 corresponding to a value of the output signal that would be obtained at a time T2 after a time T1, in a transition response period before a response time period Tr elapses where Tr denotes a response time period required for a value of the output signal V.sub.a(T) to become a converged value V.sub.c corresponding to a value P of a parameter representing a certain property of an object to be measured, in accordance with a value V.sub.a_T1 of the output signal obtained at the time T1; and an estimation circuit configured to generate, on the basis of the value V.sub.a_T2 of the output signal obtained at the time T2 and the plurality of predicted values V.sub.b_T2, an estimated value Pe of a parameter representing the certain property of the object to be measured.

Signal processing apparatus includes: an input interface configured to receive an output signal V.sub.a(T) from a sensor; a prediction circuit configured to generate, on the basis of a relationship different depending on each of a plurality of converged values V.sub.c, a plurality of predicted values V.sub.b_T2 corresponding to a value of the output signal that would be obtained at a time T2 after a time T1, in a transition response period before a response time period Tr elapses where Tr denotes a response time period required for a value of the output signal V.sub.a(T) to become a converged value V.sub.c corresponding to a value P of a parameter representing a certain property of an object to be measured, in accordance with a value V.sub.a_T1 of the output signal obtained at the time T1; and an estimation circuit configured to generate, on the basis of the value V.sub.a_T2 of the output signal obtained at the time T2 and the plurality of predicted values V.sub.b_T2, an estimated value Pe of a parameter representing the certain property of the object to be measured.

Presented here are system and methods for collecting information from devices, such as sensors, that are not necessarily connected to the Internet. Multiple sensors are distributed in a geographic area. The sensors power up every 10 minutes to gather data about the environment and then power down to save battery. A collecting device, i.e., a device attached to a moving object, traverses the geographic area containing the sensors, and continuously sends wake-up signals into the environment. When a sensor is within 20 feet of the collecting device, and receives the wake-up signal, the sensor uploads the gathered data to the collecting device. Subsequently, when the collecting device establishes an Internet connection, the collecting device uploads the gathered data to a central database.