Abstract: A three-dimensional image transformation, executing on one or more computer systems, can mathematically transform a first two-dimensional image space onto a second two-dimensional image space using a three-dimensional image space. The three-dimensional image transformation can project the three-dimensional image space onto the first two-dimensional image space to map the first two-dimensional image space to the three-dimensional image space. Thereafter, the three-dimensional image transformation can project the second two-dimensional image space onto the three-dimensional image space to map the three-dimensional image space to the second two-dimensional image space.

Abstract: Red rust staining of Al/Zn coated steel strip in “acid rain” or “polluted” environments can be minimised by forming the coating as an Al—Zn—Si—Mg alloy coating with an OT:SDAS ratio greater than a value of 0.5:1, where OT is the overlay thickness on a surface of the strip and SDAS is the measure of the secondary dendrite arm spacing for the Al-rich alpha phase dendrites in the coating. Red rust staining in “acid rain” or “polluted” environments and corrosion at cut edges in marine environments can be minimised in Al—Zn—Si—Mg alloy coatings on steel strip by selection of the composition (principally Mg and Si) and solidification control (principally by cooling rate) and forming Mg2Si phase particles of a particular morphology in interdendritic channels.

Abstract: There is provided a switching valve for a voltage source converter, the switching valve including a number of modules, each module including at least one switching element and at least one energy storage device, each switching element and each energy storage device arranged to be combinable to selectively provide a voltage source, the switching valve including a controller programmed to selectively control the switching of the switching elements to select zero, one or more of the modules to contribute a or a respective voltage to a switching valve voltage. The controller is programmed to selectively control the switching of the switching elements to carry out a switching operation and to apply a time delay if a charging current is flowing through the modules and/or apply a time delay to a start time of the switching operation if a discharging current is flowing through the modules.

Abstract: A chain-link converter includes a number of series-connected chain-link modules. Each chain-link module has a module controller that is programmed to control operation of the corresponding chain-link module to selectively provide a voltage source, whereby the chain-link converter is able to provide a stepped variable voltage source. The chain-link converter also includes a chain-link converter controller that is arranged in communication with each module controller, and which is programmed to, in-use, communicate to a nmber of the module controllers a measured converter current (IDC) that is flowing through the chain-link converter. The module controllers that receive the measured converter current (IDC) is each further programmed, in-use, to combine the measured converter current (IDC) with a measured rate of change of current (IAC) flowing through the corresponding chain-link module, to establish an instantaneous module current (Ii) that is flowing through the corresponding chain-link module.

Abstract: A controller, for a chain-link converter having a number of series-connected chain-link modules that are operable in combination to provide a stepped variable voltage source, is programmed to obtain for each chain-link module an indication of whether the current flow through the corresponding chain-link module is in a first flow direction or a second flow direction. The controller is additionally programmed to evaluate the number of indications in the first flow direction and the number of indications in the second flow direction, and thereafter to establish an overall current flow direction through the chain-link converter equal to the flow direction having the largest number of indications.

Abstract: Disclosed herein are system, method, and computer program product embodiments for utilizing non-RAM memory to implement large digital display emulations. An embodiment operates by generating, by an emulator device, a pixel map of a digital display, wherein the pixel map comprises a plurality of pixels representative of a plurality of light emitting elements arranged on a viewable surface of the large digital display. A distance and orientation of a virtual viewer to the viewable surface of the large digital display is generated and the emulator device emulates the large digital display based on the pixel map and the distance and the orientation of the virtual viewer and renders the digital content based on the emulated large digital display.

Abstract: The present disclosure relates to a catalyst that includes a support that includes a metal oxide and a metal deposited on the support, where the metal oxide includes at least one of TiO2, Al2O3, SiO2, CeO2, and/or ZrO2, the metal includes at least one of Pt, Pd, Ru Rh, Ni, and/or Mo, the metal is in the form of a particle, and the metal is present on the support at a concentration between about 0.1 wt % and about 5.0 wt %.

Abstract: Disclosed herein are system, method, and computer program product embodiments for utilizing non-RAM memory to implement large digital display emulations. An embodiment operates by generating, by an emulator device, a pixel map of a digital display, wherein the pixel map comprises a plurality of pixels representative of a plurality of light emitting elements arranged on a viewable surface of the large digital display. A distance and orientation of a virtual viewer to the viewable surface of the large digital display is generated and the emulator device emulates the large digital display based on the pixel map and the distance and the orientation of the virtual viewer and renders the digital content based on the emulated large digital display.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: The present disclosure relates to a method and a system for biomechanically characterising ocular tissue (C) through deformation of the ocular tissue. The method comprises: generating an acoustic stimulus for delivery onto the ocular tissue in a collinear anner with an axis of a measuring device, for producing vibration of the ocular tissue; measuring ocular tissue displacement with the measuring device at a plurality of locations of the ocular tissue; obtaining at least a biomechanical parameter by processing the ocular tissue displacements at the plurality of locations. The disclosure also relates to a method and a system for screening biomechanical abnormality of ocular tissue (C).

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: Disclosed herein are system, method, and computer program product embodiments for utilizing non-RAM memory to implement large digital display emulations. An embodiment operates by generating, by an emulator device, a pixel map of a digital display, wherein the pixel map comprises a plurality of pixels representative of a plurality of light emitting elements arranged on a viewable surface of the large digital display. A distance and orientation of a virtual viewer to the viewable surface of the large digital display is generated and the emulator device emulates the large digital display based on the pixel map and the distance and the orientation of the virtual viewer and renders the digital content based on the emulated large digital display.

Abstract: A three-dimensional image transformation, executing on one or more computer systems, can mathematically transform a first two-dimensional image space onto a second two-dimensional image space using a three-dimensional image space. The three-dimensional image transformation can project the three-dimensional image space onto the first two-dimensional image space to map the first two-dimensional image space to the three-dimensional image space. Thereafter, the three-dimensional image transformation can project the second two-dimensional image space onto the three-dimensional image space to map the three-dimensional image space to the second two-dimensional image space.

Abstract: The present disclosure relates to a composition that includes a compound having the structure of a phenolic with three functional groups, R1 R2, and R3, where R1 includes at least one of a hydrogen atom, a hydroxyl group, a first alkoxy group, and/or a first hydrocarbon, R2 includes at least one of a hydrogen atom, a hydroxyl group, a second alkoxy group, and/or a second hydrocarbon, R3 includes at least one of a hydrogen atom, a hydroxyl group, a third alkoxy group, and/or a third hydrocarbon, and the composition has an LC50 of less than about 150 mg compound per mL of the composition for an organism that includes the genus Leptinotarsa.

Abstract: The present disclosure relates to a composition that includes where R1 and R2 include at least one of a hydrogen, a hydroxyl group, and/or an alkyl group, R3 and R4 include at least one of hydrogen, a hydroxyl group, an alkyl group, and/or a ketone, and 1?n?2000.

Abstract: The present disclosure relates to a device that includes a filter element and a catalyst, where the filter element is configured to remove particulate from a stream that includes at least one of a gas and/or a vapor to form a filtered stream of the gas and/or the vapor, the catalyst is configured to receive the filtered stream and react a compound in the filtered stream to form an upgraded stream of the gas and/or the vapor, further including an upgraded compound, and both the filter element and the catalyst are configured to be substantially stable at temperatures up to about 500° C.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.

Abstract: An electrical assembly comprises a plurality of modules (36), each module (36) including at least one switching element (38) and at least one energy storage device (40), the or each switching element (38) and the or each energy storage device (40) in each module (36) arranged to be combinable to selectively provide a voltage source, wherein each module (36) includes a respective sensor (46) that is configured to monitor at least one other of the plurality of modules (36), each sensor (46) configured to selectively detect an occurrence of an operational hazard in the or each corresponding monitored module (36).

Abstract: Methods are disclosed to make coke, graphite, graphene and other materials from biomass derived bio-oil.