Abstract: A given policy file is obtained at a publishing node of a decentralized system of nodes, wherein the given policy file defines a policy that applies to at least a subset of nodes in the decentralized system of nodes. The given policy file is sent to a decentralized storage network for storage therein. Storage metadata is received from the decentralized storage network, wherein the storage metadata represents address information associated with storage of the given policy file in the decentralized storage network. The publishing node generates policy file retrieval metadata based on the storage metadata received from the decentralized storage system. The policy file retrieval metadata is sent to a blockchain network for storage therein. One or more querying nodes of the decentralized system of nodes access the blockchain network to obtain the policy file retrieval metadata in order to then retrieve the policy file from the decentralized storage network.

Abstract: An integrated circuit includes a first stacked transistor switch having a current path coupled between a first tuning element port and a second tuning element port; a second stacked transistor switch having a current path coupled between the first tuning element port and a ground port; and a control circuit coupled to a control node of the first stacked transistor switch and coupled to a control node of the second stacked transistor switch, wherein a series on-resistance of the first stacked transistor switch is greater than a series on-resistance of the second stacked transistor.

Abstract: A method and system for vehicle-road collaboration, a vehicle intelligent terminal, and a cloud control platform are provided. The method includes: sending service information of a vehicle where the vehicle intelligent terminal is located to a non-central cloud control platform registered with the vehicle intelligent terminal; and receiving roadside information for aided driving or autonomous driving application services from the non-central cloud control platform.

Abstract: A method, device and computer program product for deep learning are provided. According to one example, a parameter related to a deep learning model for a training dataset allocated to a server is obtained at a client; a transmission state of the parameter is determined, the transmission state indicating whether the parameter has been transmitted to the server; and information associated with the parameter to be sent to the server is determined based on the transmission state to update the deep learning model. Therefore, the performance of deep learning may be improved, and the network load of deep leaning may be reduced.

Abstract: An ablation device and an ablation system provided with an ablation device, include an ablation assembly and an adjustment assembly provided at the proximal end of the ablation assembly. The adjustment assembly includes an outer catheter and an inner catheter which extend axially. The ablation assembly includes a supporting framework and an ablation member provided on the supporting framework. The supporting framework includes a positioning frame and a bearing frame. The positioning frame is provided at the distal end relative to the bearing frame, the distal end of the outer catheter is connected to the proximal end of the bearing frame, the distal end of the inner catheter is connected to the distal end of the positioning frame. During moving of the inner catheter relative to the outer catheter, the supporting framework deforms, and the deformation ratio of the positioning frame is less than that of the bearing frame.

Abstract: The present invention discloses a method for welding Fe—Al intermetallic compound microporous material and a welded part made thereby, and the present invention relates to the field of welding technology. For the problem in the prior art that there is great difficulty in welding between Fe—Al microporous material and dense stainless steel, the method for welding Fe—Al intermetallic compound microporous material, in accordance with the present invention, comprises the following steps: turning on “welding torch fuel-gas” of a fusion-welding machine, and turning on welding shielding gas in a shield; adjusting welding parameters of the welding machine and parameter of the welding shielding gas in the shield for a fusion welding process; switching on the welding machine, and using welding wire as welding filler for welding Fe—Al intermetallic compound microporous material to dense stainless steel; and, cooling after completion of the welding.

Abstract: A method is provided. The method includes: preparing one or more standard basis quantum states denoted by |y >, and for each of the standard basis quantum states, repeatedly operating a measurement device a predetermined number of times to perform measurements on that the each standard basis quantum state; counting the predetermined number of measurement results, of each of the standard basis quantum states, to construct a calibration matrix; determining the number of zero elements of each column in the calibration matrix; determining a correction coefficient corresponding to each column based on the number of zero elements, where the correction coefficient is inversely proportional to the number of zero elements; and constructing a new calibration matrix based on the correction coefficient corresponding to the each column, to correct a measurement result of the measurement device based on the new calibration matrix.

Abstract: The present disclosure provides a roadside sensing system and a traffic control method. The roadside sensing system may include: a basic supply facility, a roadside computing facility and a roadside sensing facility set on a target road section. The basic supply facility is connected to the roadside computing facility and the roadside sensing facility, and the basic supply facility is configured to provide basic supply to the roadside computing facility and the roadside sensing facility; the roadside sensing facility is configured to acquire roadside sensing information; and the roadside computing facility is configured to store and process the roadside sensing information to obtain sensing result information.

Abstract: The present disclosure provides a displacement detection circuit of a maglev rotor system and a displacement self-sensing system thereof.

Abstract: The present disclosure provides an active material comprising a mixed metal oxide in a hydrotalcite derived rocksalt structure, a processes to convert paraffins to corresponding olefins and or heavier hydrocarbons using the active material, and a method of preparing the active material.

Abstract: A synapse system is provided which includes three transistors and a resistance-switching element arranged between two neurons. The resistance-switching element has a resistance value and it is arranged between two neurons. A first transistor is connected between the resistance-switching element and one of the neurons. A second transistor and a third transistor are arranged between the two neurons, and are connected in series which interconnects with the gate of the first transistor. A first input signal is transmitted from one of the neurons to the other neuron through the first transistor. A second input signal is transmitted from one of the neurons to the other neuron through the second transistor and the third transistor. The resistance value of the resistance-switching element is changed based on the time difference between the first input signal and the second input signal.

Abstract: The present invention relates to a container-oriented Linux kernel virtualizing system, at least comprising: a virtual kernel constructing module, being configured to provide a virtual kernel customization template for a user to edit and customize a virtual kernel of a container, and generate the virtual kernel taking a form of a loadable kernel module based on the edited virtual kernel customization template; and a virtual kernel instance module, being configured to reconstruct and isolate a Linux kernel, and operate a virtual kernel instance in a separate address space in response to a kernel request from a corresponding container. The container-oriented Linux kernel virtualizing system of the present invention is based on the use of a loadable module.

Abstract: Systems and methods for obtaining hand images are provided. A method, performed by at least one processor that implements at least one network, includes obtaining a single source image, a three-dimensional (3D) hand pose of a first hand in the single source image, and a 3D target hand pose; and generating an image of a second hand, that has an appearance of the first hand and a pose of the 3D target hand pose, based on the single source image, the 3D hand pose, and the 3D target hand pose.

Abstract: A method and device for generating a three dimensional (3D) bounding box of a region of interest (ROI) of a patient include receiving a two dimensional (2D) maximum intensity projection (MIP) image that is an axial view of the patient and a 2D MIP image that is a sagittal view of the patient. A first 2D bounding box of the ROI of the patient and a second 2D bounding box of the ROI of the patient are detected using the 2D MIP images. A 3D MIP image of the patient is received, and the 3D bounding box of the ROI of the patient is generated using the 3D MIP image, the first 2D bounding box, and the second 2D bounding box. The 3D MIP image including the 3D bounding box is provided.

Abstract: A control device, an execution device, a device management method, and a device management system are provided, and are related to the field of network technologies. The control device includes: a network communications interface configured to connect to an execution device through a network, where the execution device is a network communications device; and a processor configured to send a device management protocol packet through the network communications interface, where the device management protocol packet indicates an operation performed on a register in a first chip in the execution device and/or the device management protocol packet indicates that a pin of a second chip in the execution device is set to a status indicated by the device management protocol packet.

Abstract: Disclosed is a lifting robot that includes a housing and a tray. The housing includes a side wall formed by a plurality of enclosing side panels, a projection of the side wall on a horizontal plane is a regular polygon, and at least one of the plurality of side panels is provided with a connection device for connecting to a side panel of another lifting robot. Further disclosed is a robot system including a plurality of the lifting robot described above.

Abstract: The present invention discloses a Fe—Al-based metal membrane and preparation method thereof, which relate to the technical field concerning gas-solid separation under high-temperature, low-pressure working conditions, and mainly address the defects of conventional metal filter elements in the prior art such as high filtration resistance and low flux under low-pressure working environments. The preparation method of the present invention comprises the steps of: stirring and defoaming a mixture composed of a Fe—Al-based metal powder and an organic-additive-added water-based solvent, thus obtaining a cast slurry; casting a uniform membrane layer on a metal substrate layer having a required thickness on a casting machine, and performing drying treatment on it, thus obtaining a membrane green body; and, placing the dried membrane green body in a sintering furnace for degreasing, sintering, and alloy phase ordering treatments, respectively, thus obtain a prepared Fe—Al-based metal membrane.

Abstract: A method, computer program, and computer system for detecting and classifying atrial fibrillation by receiving data corresponding to an electrocardiogram (ECG) associated with a patient, extracting RR intervals from the received ECG data, determining previous RR intervals for each of the extracted RR intervals and aggregating features associated with the RR intervals and the previous RR intervals. Patterns associated with the aggregated features are classified, and the computer may determine that a sample of the ECG data corresponding to one or more of the classified patterns contains a pattern associated with atrial fibrillation.