Abstract: An example sensor includes: at least three capacitive sensing segments applied to the container; and a processor connected to the at least three capacitive sensing segments, the processor configured to: obtain respective capacitance measurements from the at least three capacitive sensing segments; determine an orientation of the container based on the capacitance measurements; and determine the amount of the substance based on the capacitance measurements.

Abstract: A DC-DC converter for converting a low voltage DC input to a higher voltage DC output, the DC-DC converter comprising: an oscillator comprising a first relatively voltage sensitive and relatively low power transistor and a second relatively voltage insensitive and relatively high power transistor, the oscillator producing an AC signal from the low voltage DC input; a first transformer for converting the AC signal produced by the oscillator to a higher voltage AC signal; an autonomous, synchronous voltage-doubling rectification circuit for converting the higher voltage AC signal to the higher voltage DC output, wherein the autonomous, synchronous voltage-doubling rectification circuit comprises a second transformer, a first shunt switch and a second shunt switch; and wherein current through the second transformer controls the synchronous rectification.

Abstract: Multidimensional data analysis applications, including OLAP applications, simultaneously aggregate across many sets of dimensions. However, computing multidimensional aggregates is a performance bottleneck for OLAP data analysis applications. In order to improve the speed of interactive analysis, OLAP databases often precompute aggregates at various levels of detail and on various combinations of data attributes. However, the cost and speed of precomputation influences how frequently the aggregates can be brought up-to-date. Systems and methods disclosed herein provide graph based multidimensional analysis processing without pre-aggregating or precomputing the data along dimensional hierarchies, and by providing the results to the end user on-demand. Since preaggregation or precomputation of data along dimensional hierarchies is not necessary, implementations allow the end user to perform data analysis as soon as the data is available.

Abstract: Multidimensional data analysis applications, including OLAP applications, simultaneously aggregate across many sets of dimensions. However, computing multidimensional aggregates is a performance bottleneck for OLAP data analysis applications. In order to improve the speed of interactive analysis, OLAP databases often precompute aggregates at various levels of detail and on various combinations of data attributes. However, the cost and speed of precomputation influences how frequently the aggregates can be brought up-to-date. Systems and methods disclosed herein provide graph based multidimensional analysis processing without pre-aggregating or precomputing the data along dimensional hierarchies, and by providing the results to the end user on-demand. Since preaggregation or precomputation of data along dimensional hierarchies is not necessary, implementations allow the end user to perform data analysis as soon as the data is available.

Abstract: Multidimensional data analysis applications, including OLAP applications, simultaneously aggregate across many sets of dimensions. However, computing multidimensional aggregates is a performance bottleneck for OLAP data analysis applications. In order to improve the speed of interactive analysis, OLAP databases often precompute aggregates at various levels of detail and on various combinations of data attributes. However, the cost and speed of precomputation influences how frequently the aggregates can be brought up-to-date. Systems and methods disclosed herein provide graph based multidimensional analysis processing without pre-aggregating or precomputing the data along dimensional hierarchies, and by providing the results to the end user on-demand. Since preaggregation or precomputation of data along dimensional hierarchies is not necessary, implementations allow the end user to perform data analysis as soon as the data is available.

Abstract: A DC-DC converter for converting a low voltage DC input to a higher voltage DC output, the DC-DC converter comprising: an oscillator comprising a first relatively voltage sensitive and relatively low power transistor and a second relatively voltage insensitive and relatively high power transistor, the oscillator producing an AC signal from the low voltage DC input; a first transformer for converting the AC signal produced by the oscillator to a higher voltage AC signal; an autonomous, synchronous voltage-doubling rectification circuit for converting the higher voltage AC signal to the higher voltage DC output, wherein the autonomous, synchronous voltage-doubling rectification circuit comprises a second transformer, a first shunt switch and a second shunt switch; and wherein current through the second transformer controls the synchronous rectification.

Abstract: A semiconductor high electron mobility transistor (HEMT)-based device configured to detect ionizing radiation, wherein the device comprises: a substrate; a nucleation layer formed on the substrate; a gallium nitride (GaN) buffer layer arranged on the nucleation layer; a GaN channel layer arranged on the GaN buffer layer; an aluminum nitride (A1N) spacer layer arranged on the GaN channel layer; a barrier layer arranged on the A1N spacer layer; a GaN cap layer arranged on the barrier layer; an electrically insulating silicon nitride (SiNx) passivation layer arranged on the GaN cap layer; a source, a drain and a gate, wherein the source and the drain are formed on the GaN cap layer; wherein charge carriers generated by the radiation in the underlying GaN layers are collected in the GaN channel layer and multiplied by impact ionization by a high electric field at the gate edge facing the drain contact.

Abstract: Multidimensional data analysis applications, including OLAP applications, simultaneously aggregate across many sets of dimensions. However, computing multidimensional aggregates is a performance bottleneck for OLAP data analysis applications. In order to improve the speed of interactive analysis, OLAP databases often precompute aggregates at various levels of detail and on various combinations of data attributes. However, the cost and speed of precomputation influences how frequently the aggregates can be brought up-to-date. Systems and methods disclosed herein provide graph based multidimensional analysis processing without pre-aggregating or precomputing the data along dimensional hierarchies, and by providing the results to the end user on-demand. Since preaggregation or precomputation of data along dimensional hierarchies is not necessary, implementations allow the end user to perform data analysis as soon as the data is available.

Abstract: A DC-DC converter and method are provided for converting a low voltage DC input to a higher voltage DC output. The DC-DC converter has an oscillator with a first relatively voltage sensitive and relatively low power transistor and a second relatively voltage insensitive and relatively high power transistor, the oscillator producing an AC signal from the low voltage DC input. The inclusion of the voltage sensitive transistor allows the oscillator to turn on at a relatively low voltage. The inclusion of the higher power transistor allows the oscillator to operate at a higher power once it turns on. The DC-DC converter can be used for converting energy harvested from low voltage sources.

Abstract: A DC-DC converter and method are provided for converting a low voltage DC input to a higher voltage DC output. The DC-DC converter has an oscillator with a first relatively voltage sensitive and relatively low power transistor and a second relatively voltage insensitive and relatively high power transistor, the oscillator producing an AC signal from the low voltage DC input. The inclusion of the voltage sensitive transistor allows the oscillator to turn on at a relatively low voltage. The inclusion of the higher power transistor allows the oscillator to operate at a higher power once it turns on. The DC-DC converter can be used for converting energy harvested from low voltage sources.

Abstract: A voltage and current triggered switch that turns on when a voltage across the switch reaches a turn-on voltage and that turns off when a current through the switch drops below a holding current. The switch features a Zener diode having a breakdown voltage. The Zener diode is connected to set the turn-on voltage of the switch to be the breakdown voltage of the Zener diode. Also provided is a step-down DC-DC converter comprising such a switch. Also provided is a system that has a tribo-electricity source or a piezo-electricity source, the provided step-down DC-DC converter and a load connected to an output of the stepdown DC-DC converter.

Abstract: A voltage and current triggered switch that turns on when a voltage across the switch reaches a turn-on voltage and that turns off when a current through the switch drops below a holding current. The switch features a Zener diode having a breakdown voltage. The Zener diode is connected to set the turn-on voltage of the switch to be the breakdown voltage of the Zener diode. Also provided is a step-down DC-DC converter comprising such a switch. Also provided is a system that has a tribo-electricity source or a piezo-electricity source, the provided step-down DC-DC converter and a load connected to an output of the stepdown DC-DC converter.