Abstract: A defect centre-based sensor is disclosed. The sensor comprises instrumentation which includes a generator for causing excitation in an active element, for example a diamond, and a detector for measuring a transition in the active element. The generator is an optical source and/or the detector is an optical detector. The sensor further comprises an optical waveguide and a sensor head in communication with the source and/or the detector via the optical waveguide. The sensor head houses the active element having at least one defect centre, for example, a nitrogen vacancy, responsive to an applied magnetic field, electric field or temperature and a signal delivery arrangement, for example at least one lens, arranged to optically couple the optical waveguide to the active element.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A defect centre-based sensor is disclosed. The sensor comprises instrumentation which includes a generator for causing excitation in an active element, for example a diamond, and a detector for measuring a transition in the active element. The generator is an optical source and/or the detector is an optical detector. The sensor further comprises an optical waveguide and a sensor head in communication with the source and/or the detector via the optical waveguide. The sensor head houses the active element having at least one defect centre, for example, a nitrogen vacancy, responsive to an applied magnetic field, electric field or temperature and a signal delivery arrangement, for example at least one lens, arranged to optically couple the optical waveguide to the active element.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A visualization combination engine may be used to combine a first data visualization based on a first data set with a second data visualization based on a second data set. The combination process may be initiated by, for example, clicking and dragging the first data visualization onto the second data visualization. The visualization combination engine may create the combined data visualization without requiring the user to manually combine the first and second data sets. The combination may be carried out by identifying a key that is common between the two data sets and combining the first and second data sets into a combined data set based on the key, and then creating the combined data visualization based on the combined data set. One or more cues may be used during the process to provide helpful information and/or allow user selection of the properties of the combined data visualization.

Abstract: A method of digital automatic gain control does the required circulation without numerical multiplication or division and makes possible fast process control using a digital AGC. A signal channel has a digitally programmable variable gain device such as a multiplying digital-to-analog converter; the gain control input of the variable gain device is adjusted periodically to keep the exponential average of the digitized channel output signal with a given time constant at a desired average signal level. For instance, the vibration signal generated by a cutting process is held at a desired average prior to vibration pattern analysis to detect tool breakage and tool touch to a workpiece.