Abstract: The present invention relates to a correction method for transient electromagnetic method-based prediction of water-bearing structure ahead of tunnel wall, which pertains to the technical field of transient electromagnetic sounding method. The correction method includes a method for eliminating effects of transition process in a reception probe and a method of using earth conductivity to eliminate effects of transition process. By using the correction technique, more accurate information about the location, size and shape of the object in front of the tunnel wall can be obtained, which is of great significance to the study of the fine water-bearing geological structure.

Abstract: Methods, systems, and storage components for utilizing a deep neural network(s) for classifying at least one medical image. A deep neural network (DNN) can be configured by an image processing component to contain at least one revived neuron, where the revived neuron has an adjusted value based on a focus-learning function that is transferred to the DNN by the image processing component, where the focus-learning function provides the adjustment by updating the DNN with data that contains a corrected classification with respect to at least one normal image sample derived from a medical image, and where the correction is based on the focus-learning function comparing an annotation associated with an abnormal image sample derived from the medical image to another annotation associated with the at least one normal image.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate hospital department selection are provided. In one embodiment, a computer-implemented method comprises: employing, by a system operatively coupled to a processor, machine learning to train a model on data, wherein the data comprises patient data for a patient, hospital department designation associated with the patient and clinical data relating to a patient outcome, and wherein the model is trained to evaluate the hospital department designation associated with the patient based on the clinical data relating to the patient outcome; generating, by the system, a classification by classifying the patient into hospital department; and comparing, by the system, the model to the classification to provide a hospital department selection for the patient.

Abstract: Techniques that facilitate improved medical condition diagnostics are provided. An example embodiment can include a device. The device can include a memory that stores computer executable components and a processor. The processor can execute the computer executable components stored in the memory. The computer executable components can include training logic component and a determination logic component. The training logic component can generate a prediction model. The prediction model can generate \predict diagnosis based on electronic healthcare record data and image data of a known patient. The determination logic component can determine whether the predicted diagnosis exceeds an accuracy threshold value.

Abstract: Techniques facilitating attention based sequential image processing are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an initialization component that can perform self-attention based training on a model that comprises context information associated with a sequence of images. Images of the sequence of images can be selected during the self-attention based training. The computer executable components can also comprise a localization component that can extract local information from the images selected during the self-attention based training based on the context information. In addition, the computer executable components can also comprise an integration component that can update the model based on an end-to-end integrated attention training framework comprising the context information and the local information.

Abstract: A buoy-type high-frequency ground wave radar system. A buoy platform is used as an offshore carrier of a ground wave radar. A sky wave emission subsystem is disposed on a shore base and emits a high-frequency electromagnet wave. After the high-frequency electromagnet wave is refracted by the ionosphere and is reflected by the sea surface, a sky wave signal is formed. An attitude measurement subsystem measures and acquires attitude data of the buoy platform in real time. A ground wave radar subsystem receives a ground wave signal by using the ground wave radar, and processes the signal to form a ground wave doppler spectrum. Simultaneously, the sky wave signal is received, ionosphere disturbance compensation is performed on the sky wave signal in a frequency domain and then the sky wave signal is processed to form a sky wave doppler spectrum.

Abstract: The present invention is directed to a transfer request block (TRB) cache system and method. A cache is used to store plural TRBs, and a mapping table is utilized to store corresponding TRB addresses in a system memory. A cache controller pre-fetches the TRBs and stores them in the cache according to the content of the mapping table.

Abstract: The present invention is directed to a stream context cache system, which primarily includes a cache and a mapping table. The cache stores plural stream contexts, and the mapping table stores associated stream context addresses in a system memory. Consequently, a host may, according to the content of the mapping table, directly retrieve the stream context that is pre-fetched and stored in the cache, rather than read the stream context from the system memory.

Abstract: The present invention is directed to a transfer request block (TRB) cache system and method. A cache is used to store plural TRBs, and a mapping table is utilized to store corresponding TRB addresses in a system memory. A cache controller pre-fetches the TRBs and stores them in the cache according to the content of the mapping table.

Abstract: The present invention is directed to a stream context cache system, which primarily includes a cache and a mapping table. The cache stores plural stream contexts, and the mapping table stores associated stream context addresses in a system memory. Consequently, a host may, according to the content of the mapping table, directly retrieve the stream context that is pre-fetched and stored in the cache, rather than read the stream context from the system memory.

Abstract: A single stage AC/DC converter with piezo transformer is provided. The AC/DC converter is suitable for converting an AC power into a DC power and is comprised of a rectification module, a switching module, a driving module, a piezo transformer, and an output rectification module. The present invention provides a new AC/DC converter with piezo transformer by combining the bulk circuit and the half-bridge circuit together.

Abstract: A single stage A/D converter with piezo transformer is provided. The A/D converter is suitable for converting an AC power into a DC power and is comprised of a rectification module, a switching module, a driving module, a piezo transformer, and an output rectification module. The present invention provides a new A/D converter with piezo transformer by combining the bulk circuit and the half-bridge circuit together.