Abstract: The present disclosure relates to a method of detecting crack propagation in a wall of a metallurgical furnace by a detection unit. The detection unit is configured to extract one or more dominant frequency parameters from the corresponding reflected stress signal, and analysing, a phase from each dominant frequency parameters. The analysing of the phase comprises determines, one or more coefficients for each dominant frequency parameters. The detection unit then identifies, a dominant phase based on the corresponding one or more coefficients and selects a frequency relevant to a thickness parameter based on the dominant phase. The crack propagation in the wall of the metallurgical furnace is then detected based on the frequency relevant to the thickness parameter at each of the one or more locations. The present disclosure provides an accurate method for determining condition of refractory lining by elimination unwanted noise signals.

Abstract: A system and method are disclosed to generate mixed-reality visualizations and objects to facilitate efficient interaction with large volumes of data. Embodiments include a computer comprising a processor and memory and configured to select data stored in a data table coupled to the computer. Embodiments select one or more key process indicators (KPIs), dimensions by which to display the selected data, and color schemes by which to display the selected data. Embodiments generate a first mixed-reality object displaying the selected data according to the selected one or more KPIs, dimensions, and color schemes, and a second mixed-reality object displaying the selected data as a three-dimensional model of nodes and connections. Embodiments display the first and second mixed-reality objects on a display device, and manipulate one of the first and second mixed-reality objects in response to input received by one or more sensors.

Abstract: A system and method are disclosed to generate one or more mixed-reality visualizations and objects to facilitate efficient interaction with large volumes of data. Embodiments include a computer comprising a processor and memory and a mixed-reality display device comprising a display and one or more sensors. Embodiments generate a mixed-reality object comprising a first cuboid, the first cuboid comprising one or more adjustable display dimensions corresponding to one or more key process indicators (KPIs) and one or more cubelets divided along at least one of the one or more adjustable display dimensions. Embodiments display the mixed-reality object on the display, and adjust at least one of the one or more adjustable display dimensions in response to receiving a first input to the one or more sensors. In response to a second input, embodiments transform the one or more cubelets of the first cuboid.

Abstract: A system and method are disclosed to generate mixed-reality visualizations and objects to facilitate efficient interaction with large volumes of data. Embodiments include a computer comprising a processor and memory and configured to select data stored in a data table coupled to the computer. Embodiments select one or more key process indicators (KPIs), dimensions by which to display the selected data, and color schemes by which to display the selected data. Embodiments generate a first mixed-reality object displaying the selected data according to the selected one or more KPIs, dimensions, and color schemes, and a second mixed-reality object displaying the selected data as a three-dimensional model of nodes and connections. Embodiments display the first and second mixed-reality objects on a display device, and manipulate one of the first and second mixed-reality objects in response to input received by one or more sensors.

Abstract: A system and method are disclosed to generate one or more mixed-reality visualizations and objects to facilitate efficient interaction with large volumes of data. Embodiments include a computer comprising a processor and memory and a mixed-reality display device comprising a display and one or more sensors. Embodiments generate a mixed-reality object comprising a first cuboid, the first cuboid comprising one or more adjustable display dimensions corresponding to one or more key process indicators (KPIs) and one or more cubelets divided along at least one of the one or more adjustable display dimensions. Embodiments display the mixed-reality object on the display, and adjust at least one of the one or more adjustable display dimensions in response to receiving a first input to the one or more sensors. In response to a second input, embodiments transform the one or more cubelets of the first cuboid.

Abstract: A system and method are disclosed to generate mixed-reality visualizations and objects to identify exceptions within large volumes of data and provide resolution options. Embodiments include a computer comprising a processor and memory and a mixed-reality display device comprising a display and one or more sensors. Embodiments generate a first mixed-reality object comprising a first cuboid comprising one or more adjustable display dimensions and one or more cubelets divided along at least one of the one or more adjustable display dimensions. Embodiments display the first mixed-reality object on the display and transform one or more cubelets of the first cuboid in response to a first sensor input. Embodiments identify one or more exceptions, generate one or more resolution options to resolve at least one of the one or more exceptions, and display the transformed one or more cubelets of the first cuboid and the one or more resolution options.

Abstract: A system and method are disclosed to generate mixed-reality visualizations and objects to identify exceptions within large volumes of data and provide resolution options. Embodiments include a computer comprising a processor and memory and a mixed-reality display device comprising a display and one or more sensors. Embodiments generate a first mixed-reality object comprising a first cuboid comprising one or more adjustable display dimensions and one or more cubelets divided along at least one of the one or more adjustable display dimensions. Embodiments display the first mixed-reality object on the display and transform one or more cubelets of the first cuboid in response to a first sensor input. Embodiments identify one or more exceptions, generate one or more resolution options to resolve at least one of the one or more exceptions, and display the transformed one or more cubelets of the first cuboid and the one or more resolution options.

Abstract: A system to detect quality of a silk cocoon is disclosed. The plurality of subsystems includes an image processing subsystem, configured to process the captured image of the one or more silk cocoons for noise. The plurality of subsystems includes an object detection subsystem, configured to detect cocoon contours from processed image. The plurality of subsystems also includes a cocoon analysing subsystem, configured to identify shape of the cocoon from the detected cocoon contours by using a shape function, compute a set of the parameters, validate the set of parameters with prestored parameters and determine the quality of each of the one or more silk cocoons based on the results of validation. The system uses OpenCV functions of python to do such complex work of grading silk cocoons. Such process reduces manual labour all together.

Abstract: The present disclosure relates to a method of detecting crack propagation in a wall of a metallurgical furnace by a detection unit. The detection unit is configured to extract one or more dominant frequency parameters from the corresponding reflected stress signal, and analysing, a phase from each dominant frequency parameters. The analysing of the phase comprises determines, one or more coefficients for each dominant frequency parameters. The detection unit then identifies, a dominant phase based on the corresponding one or more coefficients and selects a frequency relevant to a thickness parameter based on the dominant phase. The crack propagation in the wall of the metallurgical furnace is then detected based on the frequency relevant to the thickness parameter at each of the one or more locations. The present disclosure provides an accurate method for determining condition of refractory lining by elimination unwanted noise signals.

Abstract: This disclosure describes techniques for achieve high coding efficiency by periodically encoding anchor frames with a lower Quantization Parameter (QP) to provide better prediction for the following frames. Techniques include adaptively deciding which frames are encoded with lower QP by use of the collected encoding statistics via an encoding scheme with or without rate control.

Abstract: This disclosure describes techniques for achieve high coding efficiency by periodically encoding anchor frames with a lower Quantization Parameter (QP) to provide better prediction for the following frames. Techniques include adaptively deciding which frames are encoded with lower QP by use of the collected encoding statistics via an encoding scheme with or without rate control.

Abstract: Techniques and systems are provided for performing predictive random access using a background picture. For example, a method of decoding video data includes obtaining an encoded video bitstream comprising a plurality of pictures. The plurality of pictures include a plurality of predictive random access pictures. A predictive random access picture is at least partially encoded using inter-prediction based on at least one background picture. The method further includes determining, for a time instance of the video bitstream, a predictive random access picture of the plurality of predictive random access pictures with a time stamp closest in time to the time instance. The method further includes determining a background picture associated with the predictive random access picture, and decoding at least a portion of the predictive random access picture using inter-prediction based on the background picture.

Abstract: Techniques and systems are provided for performing predictive random access using a background picture. For example, a method of decoding video data includes obtaining an encoded video bitstream comprising a plurality of pictures. The plurality of pictures include a plurality of predictive random access pictures. A predictive random access picture is at least partially encoded using inter-prediction based on at least one background picture. The method further includes determining, for a time instance of the video bitstream, a predictive random access picture of the plurality of predictive random access pictures with a time stamp closest in time to the time instance. The method further includes determining a background picture associated with the predictive random access picture, and decoding at least a portion of the predictive random access picture using inter-prediction based on the background picture.

Abstract: A method for repairing a component is provided. The method comprises: tracing an electrode across a defect/damage on the component at a preselected distance from the component; feeding a first metal powder and a second metal powder into a discharging gap between the electrode and the component; controlling feed rates of the first and second metal powders separately; and electro-spark depositing the first and second metal powders to the component to form a hybrid metal coating. The first metal powder comprises a first metal or alloy with a Vickers hardness rating of about 70-200% of the Vickers hardness rating of the component. The second metal powder comprises a second metal or alloy having lubricating/anti-corrosion properties.

Abstract: Techniques are described for performing near visually lossless video recompression. The disclosed techniques generate video frames having relatively small bitrates and relatively small file sizes while retaining approximately a same level of visually perceivable video quality as the originally recorded video frames. In general, recompression of a video frame takes an input video frame and produces a second copy of the video frame that has the same or lower Nitrate. The proposed techniques address the problem of recompressing a video frame with no perceivable loss in visual quality (i.e., visually lossless recompression) compared to the original recording of the video frame. In addition, the disclosed techniques provide one-step recompression of video frames that includes a single decoding and encoding of each video frame.

Abstract: A lubrication system for a fluid turbine is provided. The system includes a supply subsystem for providing oil via an oil tank or a hydraulic accumulator to a gearbox of the fluid turbine for lubrication during at least one of idling or loss of electric grid. The system also includes a control subsystem for controlling the flow in the lubrication system.

Abstract: A method of detecting faults in a wind turbine generator based on current signature analysis is disclosed herein. The method includes acquiring a set of electrical signals representative of an operating condition of a generator. Further, the electrical signals are processed to generate a normalized spectrum of electrical signals. A fault related to a gearbox or bearing or any other component associated with the generator is detected based on analyzing the current spectrum.

Abstract: A method for repairing a component is provided. The method comprises: tracing an electrode across a defect/damage on the component at a preselected distance from the component; feeding a first metal powder and a second metal powder into a discharging gap between the electrode and the component; controlling feed rates of the first and second metal powders separately; and electro-spark depositing the first and second metal powders to the component to form a hybrid metal coating. The first metal powder comprises a first metal or alloy with a Vickers hardness rating of about 70-200% of the Vickers hardness rating of the component. The second metal powder comprises a second metal or alloy having lubricating/anti-corrosion properties.

Abstract: A method of detecting faults in a wind turbine generator based on current signature analysis is disclosed herein. The method includes acquiring a set of electrical signals representative of an operating condition of a generator. Further, the electrical signals are processed to generate a normalized spectrum of electrical signals. A fault related to a gearbox or bearing or any other component associated with the generator is detected based on analyzing the current spectrum.

Abstract: A lubricant supply system for a gearbox includes a lubricant flow circuit having, in fluid flow sequence: a variable-flow rate first pump; an lubricant cooler; and a gearbox. The system also includes: a first temperature sensor for sensing a temperature of lubricant circulating within the lubricant flow circuit; a pressure sensor for sensing a pressure of lubricant circulating within the lubricant flow circuit; and a controller operably connected to the pressure and temperature sensors and to the first pump. The controller is operable to control flow of the pump in response to the sensed temperature and to the sensed pressure.