Abstract: A spatial adhesive mapping method, including: identifying a part of a vehicle; applying an adhesive bead to the part; generating a three-dimensional adhesive map of the adhesive bead; and comparing the three-dimensional adhesive map to a three-dimensional adhesive envelope to determine if the adhesive bead is acceptable or unacceptable. The spatial adhesive mapping method may further include: performing a teardown inspection of the part to determine if the adhesive bead is acceptable or unacceptable; validating the three-dimensional adhesive envelope when it is determined that the adhesive bead is acceptable based on the teardown inspection; and modifying the three-dimensional adhesive envelope when it is determined that the adhesive bead is unacceptable based on the teardown inspection.

Abstract: A measurement tool with keyed gauges or fingers that mitigates process reliability concerns. A holder or disc is used for a task or tasks associated with a given shop or process that utilizes gauges or fingers that are keyed and also color-coded, labeled, or otherwise differentiated such that only the proper gauges or fingers among similar gauges or fingers can actually be received in that holder or disc for that shop or process. Accordingly, if a user has the correct holder or disc for a shop or process, only the proper gauges or fingers can be used. For each shop or process, measurement process instructions or steps can also be provided for each task associated with a holder or disc and the associated keyed gauges or fingers by color-coding, labeling, or differentiation correspondence.

Abstract: An external indicator assembly for a central processing unit (CPU) disposed within an equipment cabinet, including: an internal fitting adapted to be disposed adjacent to indicator lights associated with the CPU; an external fitting adapted to be coupled to or disposed through an external surface of the equipment cabinet; and one or more optical fibers adapted to be coupled between the internal fitting and the external fitting such that light from the indicator lights is transmitted from the CPU disposed within the equipment cabinet external to the equipment cabinet such that the light is visible to a person external to the equipment cabinet. This allows the person to visually assess the status or power-down cycling of the CPU during a shutdown or restart process without or before opening the equipment cabinet, thereby preventing corruption of the CPU and assuring personal safety by avoiding contact with powered components.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: An external indicator assembly for a central processing unit (CPU) disposed within an equipment cabinet, including: an internal fitting adapted to be disposed adjacent to indicator lights associated with the CPU; an external fitting adapted to be coupled to or disposed through an external surface of the equipment cabinet; and one or more optical fibers adapted to be coupled between the internal fitting and the external fitting such that light from the indicator lights is transmitted from the CPU disposed within the equipment cabinet external to the equipment cabinet such that the light is visible to a person external to the equipment cabinet. This allows the person to visually assess the status or power-down cycling of the CPU during a shutdown or restart process without or before opening the equipment cabinet, thereby preventing corruption of the CPU and assuring personal safety by avoiding contact with powered components.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: A detection device for detecting the presence of a substance of interest in a sample is described. The device can include a data store comprising executable instructions for at least one convolutional neural network, CNN, configured to process images: and a processor coupled to the data store and configured to execute the instructions to operate the at least one CNN. The detection device can be configured to: obtain spectrometry data, operate a first one of the CNNs to process the spectrometry data to obtain a first CNN output; apply a mask to the spectrometry data to obtain masked data; operate a second one of the CNNs to process the masked data to obtain a second CNN output; and determine if the substance of interest is present in the sample based on both the first CNN output and the second CNN output.

Abstract: The present invention relates to a clear and/or colorless liquid detergent composition comprising enzyme, polyol, surfactants and water, wherein the amount of water is less than 15% of the total detergent composition volume. The invention further relates to methods of producing and uses of such compositions.

Abstract: A computer-implemented method for handling electronic achievement information involves receiving, from a first user of an achievement aggregation system, a selection of a plurality of achievement tracking services that are operated by organizations that are separate from the operator of the achievement aggregation system; establishing an authenticated electronic communication connection between the achievement aggregator system and each of the one or more achievement tracking services; obtaining from each of the achievement tracking services, information sufficient to characterize one or more achievements obtained by the user; aggregating the information obtained from each of the achievement tracking services into a user achievement profile; and providing the user achievement profile for presentation to one or more users who request profile information about the first user.