Abstract: A method of machining ceramic matrix composite components includes providing an ultrasonic vibration tool having a tool tip, and exciting the tool by providing a control current, such that the tool tip is repeatedly vibrated towards and away from a ceramic matrix composite workpiece. A slurry feed is supplied including abrasive particles to a surface to be machined by the tool tip. A vibration amplitude of the tool tip is controlled by sensing load on the tool and communicating with a computing device. The computing device controls the vibration amplitude of the tool tip. The computing device is provided with at least one memory programmed with historic data, and is operable to modify the vibration amplitude signal being sent to the tool, and comparing resulting load levels due to the change in vibration amplitude signals, and storing the change in vibration amplitude signals at the memory.

Abstract: A raking barrier panel includes a plurality of pickets, each defining a pivot pin hole. A channel member includes a web wall defining a plurality of spaced apart openings that each receives a respective one of the plurality of pickets therethrough. A plurality of picket pivot members are in snap-fit engagement with the channel member, and each one of the plurality of picket pivot members includes a pair of opposed end walls and a pair of opposed side walls together forming a box-like shape. A pivot pin extends from at least one of the pair of opposed side walls and is received by the pivot pin hole of a respective one of the plurality of pickets to define a pivot axis with respect to the channel member.

Abstract: One or more machine learning techniques can be used to identify locations of potential malignancies within images (e.g., video images) captured during a medical procedure, such as an endoscopic procedure. The images can be displayed, in real-time, on a display unit. The images can be displayed with a graphical overlay that isolates the identified locations of potential malignancies.

Abstract: A sensing apparatus includes two or more sensor arrangements, a housing which is configured to house the two or more sensor arrangements, a first sensor arrangement which is configured to sense a first property, a second sensor arrangement which is configured to sense a second property, and an output arrangement which is configured to provide an output signal from the sensing apparatus in dependence upon an output of the first sensor arrangement and an output of the second sensor arrangement, the first property is different from the second property, and the sensing arrangement is configured to provide a combined signal output by way of the output arrangement.

Abstract: A computer-implemented method in which one or more processing devices perform operations may include obtaining a field image of a railcar collected from a field camera system and applying a machine-learning algorithm to the field image to generate a machine-learning algorithm output. The method may also include performing a post-processing operation on the machine-learning algorithm output to generate a filtered machine-learning algorithm output. Further, the method may include detecting a defect of the railcar using the filtered machine-learning algorithm output.

Abstract: The present invention provides a novel and efficient process of preparing a highly organized 3D array of particles by stacking multiple 2D arrays of the particles. The 3D array of particles so prepared is used in fabrication of sensors, such as molecular imprinted photonic (MIP) crystal sensor. The sensor has a 3D array of voids each having a void internal wall. The void internal walls have cavities each having a cavity internal wall made from a material containing the non-metallic element. A binding of the analytes to the cavities induces a detectable variation of the optical property of the 3D array of voids. The invention exhibits numerous technical merits such as high sensitivity, high specificity, fast detection, ease of operation, low power consumption, zero chemical release, and low operation cost, among others.