Abstract: A weight sensor includes a plurality of load cells. A first load cell is configured to produce a first electric current based on a force experienced by the first load cell. A second load cell is configured to produce a second electric current based on a force experienced by the second load cell. A third load cell is configured to produce a third electric current based on a force experienced by the third load cell. And a fourth load cell is configured to produce a fourth electric current based on a force experienced by the fourth load cell.

Abstract: A method for classifying input data includes receiving the input data that describe an object, wherein the input data corresponds to plural classes; associating the input data with voxels that describe the object; calculating a real-number sequence X(n), which is associated with a measured parameter P that describes the object; quantizing the real-number sequence X(n) to generate a finite set sequence Q(n), where n describes a number of levels; generating a voxel-based weight matrix for each class of the input data; and calculating a score S for each class of the plural classes, based on a corresponding voxel-based weight matrix. The score S is a number that indicates a likelihood that the input data associated with a given sample belongs to a class of the plural classes.

Abstract: The energy consumed by data transfer in a computing device may be reduced by transferring data that has been encoded in a manner that reduces the number of one “1” data values, the number of signal level transitions, or both. A data destination component of the computing device may receive data encoded in such a manner from a data source component of the computing device over a data communication interconnect, such as an off-chip interconnect. The data may be encoded using minimum Hamming weight encoding, which reduces the number of one “1” data values. The received data may be decoded using minimum Hamming weight decoding. For other computing devices, the data may be encoded using maximum Hamming weight encoding, which increases the number of one “1” data values while reducing the number of zero “0” values, if reducing the number of zero values reduces energy consumption.

Abstract: The energy consumed by data transfer in a computing device may be reduced by transferring data that has been encoded in a manner that reduces the number of one “1” data values, the number of signal level transitions, or both. A data destination component of the computing device may receive data encoded in such a manner from a data source component of the computing device over a data communication interconnect, such as an off-chip interconnect. The data may be encoded using minimum Hamming weight encoding, which reduces the number of one “1” data values. The received data may be decoded using minimum Hamming weight decoding. For other computing devices, the data may be encoded using maximum Hamming weight encoding, which increases the number of one “1” data values while reducing the number of zero “0” values, if reducing the number of zero values reduces energy consumption.

Abstract: A method for controlling a direct contact membrane distillation (DCMD) system, the method including modeling the DCMD system with differential-algebraic equations (DAEs), wherein the DAEs include process states {tilde over (x)}(tk) and an input state u(tk); selecting a value for the input variable u(tk) for a time tk; estimating the process states {tilde over (x)}(tk) based on the DAEs and the input state u(tk); checking that a boundedness function G applied to the process states {tilde over (x)}(tk) is smaller than a desired steady-state point ?e; and minimizing an objective function, which depends on the process states {tilde over (x)}(tk) and the input state u(tk), to determine an updated input state u(tk+1) for a next time tk+1. The process states {tilde over (x)}(tk) include temperatures and heat flow rates.

Abstract: A method for classifying input data includes receiving the input data that describe an object, wherein the input data corresponds to plural classes; associating the input data with voxels that describe the object; calculating a real-number sequence X(n), which is associated with a measured parameter P that describes the object; quantizing the real-number sequence X(n) to generate a finite set sequence Q(n), where n describes a number of levels; generating a voxel-based weight matrix for each class of the input data; and calculating a score S for each class of the plural classes, based on a corresponding voxel-based weight matrix. The score S is a number that indicates a likelihood that the input data associated with a given sample belongs to a class of the plural classes.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: Vector processing engines (VPEs) employing reordering circuitry in data flow paths between execution units and vector data memory to provide in-flight reordering of output vector data stored to vector data memory are disclosed. Related vector processor systems and methods are also disclosed. Reordering circuitry is provided in data flow paths between execution units and vector data memory in the VPE. The reordering circuitry is configured to reorder output vector data sample sets from execution units as a result of performing vector processing operations in-flight while the output vector data sample sets are being provided over the data flow paths from the execution units to the vector data memory to be stored. In this manner, the output vector data sample sets are stored in the reordered format in the vector data memory without requiring additional post-processing steps, which may delay subsequent vector processing operations to be performed in the execution units.

Abstract: A method for preparing multi-wall carbon nanotubes comprising atomizing a precursor solution comprising an aromatic hydrocarbon and a carrier gas. The mixture is then injected through an ultrasonic atomization system to form atomized precursor droplets. Then by injecting the atomized precursor droplets from the top of a vertical chemical vapor deposition reactor, the droplets can then react with a reaction gas in the reactor vessel to form a film that adsorbs to a growth surface in the reactor vessel. Layer by layer multi-wall carbon nanotubes are formed. This method is repeated to form layers of the multi-wall carbon nanotubes. The nanotubes formed have an outer diameter of 10 nm-51 nm and a length to diameter aspect ratio of 7200-13200.

Abstract: A vertical chemical vapor deposition (CVD) reactor and a method for synthesizing metal oxide impregnated carbon nanotubes. The CVD reactor includes a preheating zone portion and a reaction zone portion, and preferably an additional cooling zone portion and a product collector. The method includes (a) subjecting a liquid reactant solution comprising an organic solvent, a metallocene, and a metal alkoxide to atomization in the presence of a gas flow comprising a carrier gas and a support gas to form an atomized mixture, and (b) heating the atomized mixture to a temperature of 200° C.-1400° C., wherein the heating forms a metal oxide and at least one carbon source compound, wherein the metallocene catalyzes the formation of carbon nanotubes from the at least one carbon source compound and the metal oxide is incorporated into or on a surface of the carbon nanotubes to form the metal oxide impregnated carbon nanotubes.

Abstract: A vertical chemical vapor deposition (CVD) reactor and a method for synthesizing metal oxide impregnated carbon nanotubes. The CVD reactor includes a preheating zone portion and a reaction zone portion, and preferably an additional cooling zone portion and a product collector. The method includes (a) subjecting a liquid reactant solution comprising an organic solvent, a metallocene, and a metal alkoxide to atomization in the presence of a gas flow comprising a carrier gas and a support gas to form an atomized mixture, and (b) heating the atomized mixture to a temperature of 200° C.-1400° C., wherein the heating forms a metal oxide and at least one carbon source compound, wherein the metallocene catalyzes the formation of carbon nanotubes from the at least one carbon source compound and the metal oxide is incorporated into or on a surface of the carbon nanotubes to form the metal oxide impregnated carbon nanotubes.

Abstract: Vector processing engines (VPEs) employing a tapped-delay line(s) for providing precision filter vector processing operations with reduced sample re-fetching and power consumption are disclosed. Related vector processor systems and methods are also disclosed. The VPEs are configured to provide filter vector processing operations. To minimize re-fetching of input vector data samples from memory to reduce power consumption, a tapped-delay line(s) is included in the data flow paths between a vector data file and execution units in the VPE. The tapped-delay line(s) is configured to receive and provide input vector data sample sets to execution units for performing filter vector processing operations. The tapped-delay line(s) is also configured to shift the input vector data sample set for filter delay taps and provide the shifted input vector data sample set to execution units, so the shifted input vector data sample set does not have to be re-fetched during filter vector processing operations.

Abstract: A vertical chemical vapor deposition (CVD) reactor and a method for synthesizing metal oxide impregnated carbon nanotubes. The CVD reactor includes a preheating zone portion and a reaction zone portion, and preferably an additional cooling zone portion and a product collector. The method includes (a) subjecting a liquid reactant solution comprising an organic solvent, a metallocene, and a metal alkoxide to atomization in the presence of a gas flow comprising a carrier gas and a support gas to form an atomized mixture, and (b) heating the atomized mixture to a temperature of 200° C.-1400° C., wherein the heating forms a metal oxide and at least one carbon source compound, wherein the metallocene catalyzes the formation of carbon nanotubes from the at least one carbon source compound and the metal oxide is incorporated into or on a surface of the carbon nanotubes to form the metal oxide impregnated carbon nanotubes.