Abstract: A computer-implemented method, a system and a computer program product for device failure detection are disclosed. In the method, phase-based predictions may be performed on a plurality of storage devices to determine a plurality of sampling scopes and corresponding sampling ratios. The respective sampling scopes may comprise at least one storage device of the plurality of storage devices. A sampling dataset may be obtained by selecting a group of storage devices from the respective sampling scopes with the corresponding sampling ratios. Device failure may be detected for the group of storage devices based on the sampling dataset.

Abstract: The present disclosure provides an application software (APP) testing method, an electronic device, and a computer-readable storage medium. The APP testing method includes: acquiring a key log; determining information related to a tested fault cause according to the key log; acquiring a User Interface (UI) screenshot; and comparing the UI screenshot with a pre-stored UI design drawing, and determining whether there is a difference between the UI screenshot and the UI design drawing. The APP testing method provided by the present disclosure can realize quick check of network access logs and crash logs even without a platform of a development tool, assist testers and developers in problem reproduction and fault location, and improve development efficiency of the developers.

Abstract: The present application relates to a compound of formula (I): (I) or a pharmaceutically acceptable salt thereof, as well as to pharmaceutical compositions comprising same. The use of such compounds, pharmaceutically acceptable salts thereof or pharmaceutical compositions for inhibiting the activity of an IL-I receptor in a cell, or for treating IL-1 related diseases, disorders or conditions such as inflammatory diseases in a subject, is also described.

Abstract: A sorafenib pharmaceutical composition with high bioavailability and use thereof, and specifically a low-dose sorafenib oral solid preparation, comprising: a) a sorafenib solid dispersion; b) a crystallization inhibitor; and c) additional pharmaceutically acceptable adjuvant. The low-dose sorafenib oral solid preparation has high bioavailability and reduces the dosage of sorafenib such that the same therapeutic effect as that of Nexavar tablets can be achieved when a patient takes orally 35% to 70% of the administered dose of Nexavar tablets; it has higher stability, better safety, and less incidence of side effects; it has lower Cmax and AUC0-t variation, a higher dissolution, and a low crystal precipitation rate with the increase of pH in the gastrointestinal tract; it is easy to be taken by patients due to the small volume of the tablet; it has a fast disintegration speed and a good dissolution effect; and it is easy to realize industrialization.

Abstract: Described herein are methods and systems for remote visualization of real-time three-dimensional (3D) facial animation with synchronized voice. A sensor captures frames of a face of a person, each frame comprising color images of the face, depth maps of the face, voice data associated with the person, and a timestamp. The sensor generates a 3D face model of the person using the depth maps. A computing device receives the frames of the face and the 3D face model. The computing device preprocesses the 3D face model. For each frame, the computing device: detects facial landmarks using the color images; matches the 3D face model to the depth maps using non-rigid registration; updates a texture on a front part of the 3D face model using the color images; synchronizes the 3D face model with a segment of the voice data using the timestamp; and transmits the synchronized 3D face model and voice data to a remote device.

Abstract: An information handling system operating a learning dynamic gamma-correction optimization system may execute a method including identifying a combination of red, green, and blue subpixel component values for a plurality of pixels, and determining optimal red, green, and blue subpixel component values for the plurality of pixels by running a gamma correction algorithm using a gamma correction factor associated with a maximum gradient energy between the plurality of pixels.

Abstract: Described herein are methods and systems for three-dimensional (3D) object capture and object reconstruction using edge cloud computing resources. A sensor coupled to a mobile device captures (i) depth maps of a physical object, the depth maps including pose information, and (ii) color images of the object. An edge cloud device coupled to the mobile device via a 5G connection receives the depth maps and the color images. The edge cloud device generates a new 3D model of the object based on the depth maps and color images, when a 3D model of the object has not been generated. The edge cloud device updates an existing 3D model of the object based on the depth maps and color images, when a 3D model of the object has previously been generated. The edge cloud device transmits the new 3D model or the updated 3D model to the mobile device.

Abstract: Described herein are methods and systems for remote visualization of real-time three-dimensional (3D) facial animation with synchronized voice. A sensor captures frames of a face of a person, each frame comprising color images of the face, depth maps of the face, voice data associated with the person, and a timestamp. The sensor generates a 3D face model of the person using the depth maps. A computing device receives the frames of the face and the 3D face model. The computing device preprocesses the 3D face model. For each frame, the computing device: detects facial landmarks using the color images; matches the 3D face model to the depth maps using non-rigid registration; updates a texture on a front part of the 3D face model using the color images; synchronizes the 3D face model with a segment of the voice data using the timestamp; and transmits the synchronized 3D face model and voice data to a remote device.

Abstract: Described herein are methods and systems for providing virtual presence for telerobotics in a dynamic scene. A sensor captures frames of a scene comprising one or more objects. A computing device generates a set of feature points corresponding to objects in the scene and matches the set of feature points to 3D points in a map of the scene. The computing device generates a dense mesh of the scene and the objects using the matched feature points and transmits the dense mesh the frame to a remote viewing device. The remote viewing device generates a 3D representation of the scene and the objects for display to a user and receives commands from the user corresponding to interaction with the 3D representation of the scene. The remote viewing device transmits the commands to a robot device that executes the commands to perform operations on the objects in the scene.

Abstract: Described herein are methods and systems for keyframe-based object scanning and tracking. A sensor device captures images of objects in a scene. For each image, a computing device labels each of at least a plurality of pixels in the image, tracks at least one region of the labeled image to determine an estimate of a current pose of at least one object, validates the estimate of the current pose of the at least one object, selects the labeled image as a keyframe based upon validation of the estimate of the current pose, and updates a volumetric model comprising the at least one object using the keyframe. The computing device generates a final 3D model of the at least one object based upon the updated volumetric model.

Abstract: Described herein are methods and systems for remote visualization of three-dimensional (3D) animation. A sensor of a mobile device captures scans of non-rigid objects in a scene, each scan comprising a depth map and a color image. A server receives a first set of scans from the mobile device and reconstructs an initial model of the non-rigid objects using the first set of scans. The server receives a second set of scans. For each scan in the second set of one or more scans, the server determines an initial alignment between the depth map and the initial model. The server converts the depth map into a coordinate system of the initial model, and determines a displacement between the depth map and the initial model. The server deforms the initial model to the depth map using the displacement, and applies a texture to at least a portion of the deformed model.

Abstract: Embodiments of the present disclosure relate to a self-driving system having an RFID reader and a built-in printer. In one embodiment, a self-driving system includes a mobile base having one or more motorized wheels, the mobile base having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the mobile base, and a tag reader integrated with the console, the tag reader having a sensor surface facing upwardly.

Abstract: Embodiments of the present disclosure relate to a self-driving system having an RFID reader and a built-in printer. In one embodiment, a self-driving system includes a mobile base having one or more motorized wheels, the mobile base having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the mobile base, and a tag reader integrated with the console, the tag reader having a sensor surface facing upwardly.

Abstract: Embodiments of the present disclosure relate to a self-driving system having an RFID reader and a built-in printer. In one embodiment, a self-driving system includes a mobile base having one or more motorized wheels, the mobile base having a first end and a second end opposing the first end, a console coupled in an upright position to the first end of the mobile base, and a tag reader integrated with the console, the tag reader having a sensor surface facing upwardly.

Abstract: Described are methods, systems, and apparatuses for 3D vision processing using an IP block. A vision processing module comprises an integrated circuit that performs one or more 3D vision processing algorithms and a plurality of controllers that couple the integrated circuit to each of: a sensor device, a processor, a memory module, and a network interface. The vision processing module receives image data from the sensor device, the image data corresponding to one or more images captured by the sensor device. The vision processing module executes one or more of the 3D vision processing algorithms using at least a portion of the image data as input. The vision processing module transmits an output from execution of one or more of the 3D vision processing algorithms to at least one of: the processor, the memory module, or the network interface.

Abstract: Disclosed are an adaptive chassis and a robot. The chassis includes: a support (110), a first wheel (101) and a second wheel (102) arranged at two sides of a first end of the support (110), a first suspension seat (120) arranged at a bottom side of a second end of the support (110), a first rotating shaft (121) arranged on the first suspension seat (120), a first crossbeam (130) connected with the first rotating shaft (121) and being capable of rotating around the first rotating shaft (121), and a third wheel (103) and a fourth wheel (104) arranged on two ends of the first crossbeam (130). An axis of the first rotating shaft (121) is consistent with a moving direction of the chassis.

Abstract: Embodiments relate to a system, program product, and method for expanding the retention capacity of a write cache on a host bus adaptor (HBA) device through the use of non-volatile dual in-line memory modules (NVDIMMs). At least a portion of the existing NVDIMM capacity is leveraged to temporarily retain data that is to be written to persistent storage to reduce the potential for data loss during external electric power disruptions. A NVDIMM HBA Write Cache Module (NHWCM) facilitates the data file traffic transmission and I/O command generation and transmission between a processing device, the HBA device, the NVDIMMs, and the persistent storage.

Abstract: Embodiments relate to a system, program product, and method for expanding the retention capacity of a write cache on a host bus adaptor (HBA) device through the use of non-volatile dual in-line memory modules (NVDIMMs). At least a portion of the existing NVDIMM capacity is leveraged to temporarily retain data that is to be written to persistent storage to reduce the potential for data loss during external electric power disruptions. A NVDIMM HBA Write Cache Module (NHWCM) facilitates the data file traffic transmission and I/O command generation and transmission between a processing device, the HBA device, the NVDIMMs, and the persistent storage.