Abstract: The present invention provides a tin-free, room temperature curable silicone elastomer composition, wherein the uncured composition is a putty. The silicone elastomer composition comprises a) an end-capped base polymer, wherein the base polymer comprises a polysiloxane or mixture of polysiloxanes, and wherein the end-capped base polymer comprises terminal di-(C1-4)alkoxy silyl groups; b) at least one amorphous filler; c) 15.1 to 60 parts by weight of at least one spherical filler for each 100 parts by weight of base polymer; and d) a curing catalyst consisting of one or more selected from the group consisting of organic titanates and organic zirconates. The terminal dialkoxy silyl groups of the base polymer can be dimethoxy silyl groups. The at least one amorphous filler can be selected from the group consisting of fumed silica, fumed alumina, carbon black, precipitated silica, precipitated calcium carbonate, surface-treated calcium carbonate and mixtures thereof.

Abstract: A self-guided blossom picker uses a vision system to identify and locate blossoms or inflorescence growing on a plant. The device can be towed by a tractor or it can be self-propelled. Image data captured by the vision system is sent to an machine vision module, which interprets the data and identifies a location of blossom. A controller uses the location data to command a picker to the proper location. A cutter on the picker is actuated to remove the blossom.

Abstract: Disclosed is a self-guided blossom picker that uses a vision system to identify and locate blossoms or inflorescence growing on a plant. The device is intended to be used on a farm and towed by a tractor, for example, or it can be self-propelled. As the device is moved over the blossom the image data captured by the vision system is sent to a machine vision module, which interprets the data and identifies a location of blossom. A controller uses the location data to command a picker to the proper location. A cutter on the picker is actuated to remove the blossom.

Abstract: The present invention encompasses software that brings together computer vision and machine learning algorithms that can evaluate and sort plants into desired categories. While one embodiment of the present invention is directed toward strawberry plants, the software engine described is not specifically designed for strawberry plants but can be used for many different types of plants that require sophisticated quality sorting. The present invention is a sequence of software operations that can be applied to various crops (or other objects besides plants) in a re-usable fashion.

Abstract: A system for providing content to client computing devices. The system is configured to receive an audio feed that includes audio segments. Each audio segment includes either regular audio content or preemptory audio content. The system may determine whether each audio segment includes regular or preemptory audio content. For each audio segment determined to include preemptory audio content, the system may direct the client computing devices to preempt, with the preemptory audio content, any current content being presented by the client computing devices. For each audio segment determined to include regular audio content, the system may identify the regular audio content, match multimedia video content with the identified regular audio content, and direct the matched multimedia video content to the client computing devices for presentation thereby to users.

Abstract: A system for providing content to client computing devices. The system is configured to receive an audio feed that includes audio segments. Each audio segment includes either regular audio content or preemptory audio content. The system may determine whether each audio segment includes regular or preemptory audio content. For each audio segment determined to include preemptory audio content, the system may direct the client computing devices to preempt, with the preemptory audio content, any current content being presented by the client computing devices. For each audio segment determined to include regular audio content, the system may identify the regular audio content, match multimedia video content with the identified regular audio content, and direct the matched multimedia video content to the client computing devices for presentation thereby to users.

Abstract: The present invention encompasses software that brings together computer vision and machine learning algorithms that can evaluate and sort plants into desired categories. While one embodiment of the present invention is directed toward strawberry plants, the software engine described is not specifically designed for strawberry plants but can be used for many different types of plants that require sophisticated quality sorting. The present invention is a sequence of software operations that can be applied to various crops (or other objects besides plants) in a re-usable fashion.

Abstract: Threshold Cerenkov Detector With Radial Segmentation permits correlation between number of photons produced in concentrically arranged radiator tubes and particle momentum that yields a 90% confidence level for e, ?, ?, and p identification up to 4-5 GeV/c or four to five times greater than the momentum limit for particle identification in Threshold Cerenkov Detectors, wherein detector has three concentric cylinders with a total of 25 radiator tubes, each cylinder of tubes has different medium; and four scintillators are employed which trigger cosmic particles within a window of 5ns. Radiator designs produce more photons as particles enter improved TCDRS design and fewer photons as they leave. Correlation between the number of photons produced in the tubes and the particle momentum yields about a 90% confidence level for e, ?, ?, and p identification up to 4-5 GeV/c times greater than the momentum limit for particle identification using existing Threshold Cerenkov Detectors.