Abstract: A portable calibration system is disclosed that calibrates an audio equipment without using a dedicated sound level meter. The calibration system comprises a coupler configured to couple a transducer to an energy sensor, where an output of the transducer is provided to the energy sensor via the coupler, an analyzer module configured to receive information from the energy sensor regarding the output of the transducer, a processor, in the analyzer module, configured to process the information to provide a result of a calibration for the audio equipment with respect to expected results, and a display configured to display the result of the calibration.

Abstract: Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.

Abstract: A portable calibration system is disclosed that calibrates an audio equipment without using a dedicated sound level meter. The calibration system comprises a coupler configured to couple a transducer to an energy sensor, where an output of the transducer is provided to the energy sensor via the coupler, an analyzer module configured to receive information from the energy sensor regarding the output of the transducer, a processor, in the analyzer module, configured to process the information to provide a result of a calibration for the audio equipment with respect to expected results, and a display configured to display the result of the calibration.

Abstract: A method for personalized sound modification, with a personal sound system having a microphone; a user device which includes a processor, computer readable medium, and optionally the microphone; and a sound output device; is provided. The method includes: providing a user hearing profile including lower and upper limits of the user's auditory dynamic range at a plurality of sound frequencies, prepared with the personal sound system; receiving a sound signal from the microphone; optionally separating the sound signal into a plurality of frequency channels; amplifying or attenuating sound frequencies in the sound signal which have a volume level outside the lower or upper limits of the user's auditory dynamic range, respectively, and forming a modified sound signal with which the sound output device will produce sounds within the user's auditory dynamic range; and providing the modified sound signal to the sound output device.

Abstract: A portable calibration system is disclosed that calibrates an audio equipment without using a dedicated sound level meter. The calibration system comprises a coupler configured to couple a transducer to an energy sensor, where an output of the transducer is provided to the energy sensor via the coupler, an analyzer module configured to receive information from the energy sensor regarding the output of the transducer, a processor, in the analyzer module, configured to process the information to provide a result of a calibration for the audio equipment with respect to expected results, and a display configured to display the result of the calibration.

Abstract: A computer-implemented method includes gathering data samples into a data set, correcting for imbalance in the data set to produce a corrected data set by applying active learning to the data set to increase a number of double barreled question data samples occurring in the data set, selecting an optimal machine learning model for the corrected data set, training the optimal machine learning model using the corrected data set, operating the optimal machine learning model on new data to produce a prediction result, and generating a visual representation of at least one prediction results.

Abstract: Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.

Abstract: A portable calibration system is disclosed that calibrates an audio equipment without using a dedicated sound level meter. The calibration system comprises a coupler configured to couple a transducer to an energy sensor, where an output of the transducer is provided to the energy sensor via the coupler, an analyzer module configured to receive information from the energy sensor regarding the output of the transducer, a processor, in the analyzer module, configured to process the information to provide a result of a calibration for the audio equipment with respect to expected results, and a display configured to display the result of the calibration.

Abstract: Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.

Abstract: Automatic detection of disease from analysis of echocardiographer findings in echocardiogram videos is provided. In various embodiments, a plurality of medical images containing embedded text are read. The plurality of medical images are clustered into a plurality of clusters. Medical images of a first cluster of the plurality of clusters are ranked based on the frequency of measurement names within the medical images of the first cluster. A candidate tabular template is generated indicative of a layout of measurement name/value pairs within the medical images of the first cluster. According to the candidate tabular template, optical character recognition is applied to one of the plurality of medical images of the first cluster to extract candidate measurements. The candidate tabular template and the candidate measurements are presented to a user.

Abstract: A portable calibration system is disclosed that calibrates an audio equipment without using a dedicated sound level meter. The calibration system comprises a coupler configured to couple a transducer to an energy sensor, where an output of the transducer is provided to the energy sensor via the coupler, an analyzer module configured to receive information from the energy sensor regarding the output of the transducer, a processor, in the analyzer module, configured to process the information to provide a result of a calibration for the audio equipment with respect to expected results, and a display configured to display the result of the calibration.

Abstract: An exemplary method for intelligent compression defines a threshold value for a key performance indicator. Based on the key performance indicator value, data blocks generated by a producer component may be scaled down to reduce power and/or bandwidth consumption when being compressed according to a lossless compression module. The compressed data blocks are then stored in a memory component along with metadata that signals the scaling factor used prior to compression. Consumer components later retrieving the compressed data blocks from the memory component may decompress the data blocks and upscale, if required, based on the scaling factor signaled by the metadata.

Abstract: A system and method for estimating perfusion parameters using medical imaging is provided. In one aspect, the method includes receiving a perfusion imaging dataset acquired from a subject using an imaging system, and assembling for a selected voxel in the perfusion imaging dataset a perfusion patch that extends in at least two spatial dimensions around the selected voxel and time. The method also includes correlating the perfusion patch with an arterial input function (AIF) patch corresponding to the selected voxel, and estimating at least one perfusion parameter for the selected voxel by propagating the perfusion patch and AIF patch through a trained convolutional neural network (CNN) that is configured to receive a pair of inputs. The method further includes generating a report indicative of the at least one perfusion parameter estimated.

Abstract: Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.

Abstract: An exemplary method for intelligent compression defines a threshold value for a key performance indicator. Based on the key performance indicator value, data blocks generated by a producer component may be scaled down to reduce power and/or bandwidth consumption when being compressed according to a lossless compression module. The compressed data blocks are then stored in a memory component along with metadata that signals the scaling factor used prior to compression. Consumer components later retrieving the compressed data blocks from the memory component may decompress the data blocks and upscale, if required, based on the scaling factor signaled by the metadata.

Abstract: A method for making a high-temperature winding cable is winding a tinned copper line around a coaxial line, signal lines and power lines after being assembled together, lapping the rim of the tinned copper line with a packaging material of Polytetrafluoroethene, and then, extruding an insulating layer of thermoplastic material on the rim of the packaging material, and finally, extruding an outer cover of fluororubber on the outer rim of the insulating layer, thereby forming a cable; sintering the cable; winding the sintered cable clockwise around and fixing it to a iron bar; cooling the wound cable; and finally, taking down the wound cable from the iron bar by rewinding it counterclockwise so as to obtain a high-temperature winding cable. The winding cable so made is not melt, damaged, and retains elasticity after the impact of high temperature 260° C.

Abstract: Automatic detection of disease from analysis of echocardiographer findings in echocardiogram videos is provided. In various embodiments, a plurality of medical images containing embedded text are read. The plurality of medical images are clustered into a plurality of clusters. Medical images of a first cluster of the plurality of clusters are ranked based on the frequency of measurement names within the medical images of the first cluster. A candidate tabular template is generated indicative of a layout of measurement name/value pairs within the medical images of the first cluster. According to the candidate tabular template, optical character recognition is applied to one of the plurality of medical images of the first cluster to extract candidate measurements. The candidate tabular template and the candidate measurements are presented to a user.

Abstract: A method for making a high-temperature winding cable is winding a tinned copper line around a coaxial line, signal lines and power lines after being assembled together, lapping the rim of the tinned copper line with a packaging material of Polytetrafluoroethene, and then, extruding an insulating layer of thermoplastic material on the rim of the packaging material, and finally, extruding an outer cover of fluororubber on the outer rim of the insulating layer, thereby forming a cable; sintering the cable; winding the sintered cable clockwise around and fixing it to a iron bar; cooling the wound cable; and finally, taking down the wound cable from the iron bar by rewinding it counterclockwise so as to obtain a high-temperature winding cable. The winding cable so made is not melt, damaged, and retains elasticity after the impact of high temperature 260° C.

Abstract: A transmission line structure includes a bandage member, a signal transmission member, an extrusion cover member and a temperature-resistant cover member. The bandage member which is formed of a bendable insulating material is shaped as a hollow conduit by winding and has a hollow accommodating space. At least one signal transmission line is disposed in the hollow accommodating space by filler, and the filler is filled between the signal wire and the bandage member. The extrusion cover member covers the outside of the bandage member, and is formed of a bendable plastic insulting material. The temperature-resistant cover member covers the outside of the extrusion cover member, and is formed of a bendable temperature-resistant material. The transmission line structure of the present invention is thereby of better structural strength as well as temperature-resistant characteristic.

Abstract: This disclosure describes adaptive spatial variant interpolation (SVI) techniques for image upscaling. In various embodiments, the interpolation techniques described in this disclosure may support low complexity upscaling of image while promoting high image quality, including enhanced sharpness, higher contrast and more accurate interpolation. The interpolation techniques may be applied using generalized finite impulse response (FIR) filters. In some embodiments, the interpolation techniques may be content-adaptive to provide more accurate interpolation while suppressing significant artifacts associated with sharp edges. In addition, the interpolation techniques may be readily applicable to upscaling of color imagery and video, e.g., in both YCbCr (luminance, blue chrominance, red chrominance) and RGB (red, green, blue) formats.