A flow nanoparticle measurement device according to an embodiment of the present disclosure includes a flow cell configured to form a flow path through which a liquid sample flows, a laser generator configured to generate a first laser beam and irradiate the first laser beam to the flow cell, a plurality of detectors disposed in the flow cell and configured to detect a shock wave of a plasma generated in the flow cell by the first laser beam and generate a detection signal, and a controller configured to obtain the detection signal from the plurality of detectors and determine a type and a size of nanoparticles contained in the liquid sample in response to the detection signal.

A flow nanoparticle measurement device according to an embodiment of the present disclosure includes a flow cell configured to form a flow path through which a liquid sample flows, a laser generator configured to generate a first laser beam and irradiate the first laser beam to the flow cell, a plurality of detectors disposed in the flow cell and configured to detect a shock wave of a plasma generated in the flow cell by the first laser beam and generate a detection signal, and a controller configured to obtain the detection signal from the plurality of detectors and determine a type and a size of nanoparticles contained in the liquid sample in response to the detection signal.

A method includes monitoring a submerged arc welding (SAW) operation in real-time; determining, based on the monitoring and in real-time, a discrepancy between a desired weld parameter and an actual weld parameter of a weld resulting from the SAW operation; and in response to determining the discrepancy, controlling a power supply, which provides power for the SAW operation, to modify at least one of balance or offset of an alternating current (AC) welding power signal supplied for the SAW operation to compensate for the discrepancy.

A road surface area detection device, which is capable of accurately determining a road surface shape, includes: a data accumulator accumulating a ranging point sequence measured in a circumferential direction for each depression angle by a sensor; an adjacent point specifying processing circuitry extracting an attention point in one of the ranging point sequences, and adjacent points located on a large depression angle side and a small depression angle side with respect to the depression angle for the one ranging point sequence; an angle calculator calculating an angle formed by the adjacent points with respect to the attention point, as a difference angle; and a shape calculator classifying the attention point based on a shape determination result using the attention point and the adjacent points, and calculates a road surface shape based on the classification.

A system and a method are disclosed including a dual laser measurement device (DLMD) coupled with a mobile computing device to measure dimensions of a building or other structure, calculate other quantities based on the measured dimensions, select building construction or finishing material, order the material, and save the list of the measured dimensions and ordered materials in a data storage device. All steps of this process from measurement to ordering material may be performed using a DLMD app running on the mobile computing device.

Tissue sample cassettes for receiving tissue samples include an upper tray including compartments separated by dividers, a lower tray coupled to the upper tray and having a central recess, and an absorbent material located in the recess of the lower tray. Related systems and methods for automated gross processing of tissue samples are also disclosed.

A load scanning apparatus for taking physical measurements from a load. The load scanning apparatus has a scanning robot including a plurality of sensors arranged in an array spanning substantially across at least one load dimension in a first direction. The array of sensors moves together in a second direction, in a scanning plane. The plurality of sensors are configured to take images of the load from the scanning plane, and are configured to capture distance information about the distance of said load from the scanning plane.

The present disclosure describes systems and processes, including a computer process, comprising: determining, with one or more computer processors, attributes of a roof of a real-world three-dimensional building by: creating, with the one or more computer processors, a first electronic line drawing of a first plane of a roof of a building in a first drawing layer overlaid on an image depicting the roof of the building; creating, with the one or more computer processors, a second electronic line drawing of a second plane of the roof of the building in a second drawing layer on the image depicting the roof of the building, the first electronic line drawing and the second electronic line drawing having one or more overlapping lines; and assigning, with the one or more computer processors, one or more non-dimensional attributes to the overlapping lines, the non-dimensional attributes identifying one or more types of roof structures.

The present disclosure describes systems and processes, including a computer process, comprising: determining, with one or more computer processors, attributes of a roof of a real-world three-dimensional building by: creating, with the one or more computer processors, a first electronic line drawing of a first plane of a roof of a building in a first drawing layer overlaid on an image depicting the roof of the building; creating, with the one or more computer processors, a second electronic line drawing of a second plane of the roof of the building in a second drawing layer on the image depicting the roof of the building, the first electronic line drawing and the second electronic line drawing having one or more overlapping lines; and assigning, with the one or more computer processors, one or more non-dimensional attributes to the overlapping lines, the non-dimensional attributes identifying one or more types of roof structures.

Tissue sample cassettes for receiving tissue samples include an upper tray including compartments separated by dividers, a lower tray coupled to the upper tray and having a central recess, and an absorbent material located in the recess of the lower tray. Related systems and methods for automated gross processing of tissue samples are also disclosed.