Abstract: A blockchain sharding method combining spectral clustering and a reputation value mechanism includes: obtaining, every other account grouping cycle Ta, account transaction data recorded during operation of a blockchain to generate an account transaction graph; obtaining an adjacency similarity matrix W and a degree matrix D based on the account transaction graph; generating a Normalized Laplace matrix L based on the adjacency similarity matrix W and the degree matrix D, performing dimension reduction on L to obtain a feature matrix F, and then clustering the feature matrix F with a clustering dimension of k by row through a K-means clustering method; and dividing blockchain accounts into k groups based on an obtained clustering result, and allocating accounts in the k groups to k blockchain shards.

Abstract: A card connector corresponding to a first card type associated with a plurality of electrical contacts for receiving cards corresponding to various card types, each card type associated with a set of electrical contacts fewer than, more than or the same number of electrical contacts as the first card type. An elongated body may be formed with a closed end and an open end. A cap may be positioned on the open end to configure the card connector in a closed configuration to support cards of a card type associated with fewer or the same number of electrical contacts. The cap may be removed to configure the card connector in an open configuration to support cards associated with more electrical contacts. The cap may have PCB connectors for positioning the cap a distance from the elongated body to configure the card connector in an augmented open configuration.

Abstract: A method and an apparatus for virtual training based on tangible interaction are provided. The apparatus acquires data for virtual training, and acquires a three-dimensional position of a real object based on a depth image and color image of the real object and infrared (IR) data included in the obtained data. Then, virtualization of an overall appearance of a user is performed by extracting a depth from depth information on a user image included in the obtained data and matching the extracted depth with the color information, and depth data and color data for the user obtained according to virtualization of the user is visualized in virtual training content. In addition, the apparatus performs correction on joint information using the joint information and the depth information included in the obtained data, estimates a posture of the user using the corrected joint information, and estimates a posture of a training tool using the depth information and IR data included in the obtained data.

Abstract: A method of supporting self-learning and a system for performing the method are disclosed. The method includes estimating an object of interest of a user in content based on user performance information inputted by the user in response to content situation information and the content being received from a learning module including the content, analyzing the content situation information, determining whether to generate support information for supporting the user to perform the content based on the estimated object of interest and the analyzed content situation information, and generating the support information that allows the user to self-learn the content according to whether to generate the support information, and outputting the support information to the learning module.

Abstract: An electron ptychography method and an electron ptychography apparatus for automatically correcting a mistilt of a zone axis of a sample.

Abstract: Provided is a system for education in augmented reality (AR) for technology education in AR, The system for education in AR includes an instructor terminal configured to, in order to guide training of at least one learner on site or remotely using AR content, identify a training process of the trainee and generate training support information, an AR service providing server configured to manage the instructor terminal and a learner terminal that participate in the training using the AR content based on a request of the instructor terminal, and at least one learner terminal configured to transmit content training information to the AR service providing server.

Abstract: Embodiments of the present disclosure relate to managing communications between slices on a storage device engine. Shared slice memory of a storage device engine is provisioned for use by each slice of the storage device engine. The shared slice memory is a portion of total storage device engine memory. Each slice's access to the shared memory portion is controlled.

Abstract: A method for configuring a peripheral bus of an information handling system performs, as part of a boot sequence, an initial configuration of a chipset setting pertaining to the bus based on a descriptor stored in a nonvolatile storage resource. After an operating system is loaded, a controller detects a peripheral device connecting to the bus and responds by performing a runtime configuration of the chipset setting based on capability information obtained from the peripheral device. The peripheral bus may comprise a USB pipe and a USB-C type connector, wherein the peripheral device is detected by a USB power delivery (PD) controller based on configuration channel (CC) pins of the USB-C connector. The PD controller may signal the chipset and send the device’s capability information to the chipset. The PD controller may assert a PMCALERT# signal of the chipset’s and send the capability information via a system management link (SMLink1).

Abstract: Data deduplication techniques may use a fingerprint hash table and a backend location hash table in connection with performing operations including fingerprint insertion, fingerprint deletion and fingerprint lookup. Processing I/O operations may include: receiving a write operation that writes data to a target logical address; determining a fingerprint for the data; querying the fingerprint hash table using the fingerprint to determine a matching entry of the fingerprint hash table for the fingerprint; and responsive to determining that the fingerprint hash table does not have the matching entry that matches the fingerprint, performing processing including: inserting a first entry in the fingerprint hash table, wherein the first entry includes the fingerprint for the data and identifies a storage location at which the data is stored; and inserting a second entry in a backend location hash table, wherein the second entry references the first entry.

Abstract: An energy efficient heat pump for a heating, ventilation, and air conditioning (HVAC) system includes a vapor compression circuit, a first heat exchanger of the vapor compression circuit configured to place a working fluid in a first heat exchange relationship with a first air flow directed across the first heat exchanger, a second heat exchanger of the vapor compression circuit configured to place the working fluid in a second heat exchange relationship with a second air flow directed across the second heat exchanger, and a valve system of the vapor compression circuit.

Abstract: A bipolar transistor includes a substrate, a sub-collector layer, a collector layer, a base layer, an emitter layer, a passivation layer, and a collector electrode. The sub-collector layer is formed over the substrate. The collector layer is formed over the sub-collector layer. The base layer is formed over the collector layer. The emitter layer is formed over the base layer. The passivation layer is formed over the substrate and covering a sidewall of the collector layer. The collector electrode is connected to the sub-collector layer through an opening in the passivation layer. The opening exposes at least a portion of the sub-collector layer.

Abstract: The present disclosure discloses a method, which includes: obtaining, by controlling to move an electron beam to scan a sample, a diffraction intensity of the sample at each scanning position; initializing a sample transmission function and an electron beam function, establishing, based on the diffraction intensity, the sample transmission function, and the electron beam function, a forward propagation model containing to-be-optimized parameters, and calculating a value of a loss function; solving a derivative of the loss function with respect to the to-be-optimized parameters, to obtain gradients of the to-be-optimized parameters in the sample transmission function and the electron beam function, optimizing the to-be-optimized parameters based on the gradients, and updating the value of the loss function; and repeating an iteration process until an iteration termination condition is satisfied, and outputting an optimized sample transmission function and an optimized electron beam function.

Abstract: Aspects of the present disclosure relate to data cache management. In embodiments, a logical block address (LBA) bucket is established with at least one logical LBA group. Additionally, at least one LBA group is associated with two or more distinctly sized cache slots based on an input/output (IO) workload received by the storage array. Further, the association includes binding the two or more distinctly sized cache slots with at least one LBA group and mapping the bound distinctly sized cache slots in a searchable data structure. Furthermore, the searchable data structure identifies relationships between slot pointers and key metadata.

Abstract: A Ransomware Activity Detection System (RADS) characterizes historic read/write IO activity on a storage volume, and also characterizes historic data characteristics of the storage volume, such as the percentage reducibility of the data held in the storage volume. The RADS monitors the storage volume to identify differences between current read/write IO activity and historic read/write IO activity, as well as difference between current data characteristics of the storage volume and historic data characteristics of the storage volume. When the RADS detects a significant difference in read/write IO activity on a storage volume, that is coupled with a significant changes to the data characteristics of the storage volume, the RADS protects the storage volume and generates an alert of the possible occurrence of a ransomware attack. Protection may occur prior in connection with any bulk read operation to proactively protect storage volumes against ransomware attacks.

Abstract: A Random Read Miss (RRM) distribution process monitors execution parameters of first, second, and third emulations of a storage engine, and distributes newly received read operations between the emulations. The RRM distribution process assigns newly received read operations to the first emulation, unless the CPU thread usage of the first emulation or the response time of the first emulation meet a first set of criteria. The RRM distribution process secondarily assigns newly received read operations to the second emulation, unless the CPU thread usage of the second emulation or the response time of the second emulation meet a second set of criteria. The RRM distribution process assigns all other newly received newly received read operations, that are not assigned to the first emulation or to the second emulation, to the third emulation. Distribution of read IOs between the emulations enables the storage engine to increase IOPs while minimizing response time.

Abstract: A method of supporting self-learning and a system for performing the method are disclosed. The method includes estimating an object of interest of a user in content based on user performance information inputted by the user in response to content situation information and the content being received from a learning module including the content, analyzing the content situation information, determining whether to generate support information for supporting the user to perform the content based on the estimated object of interest and the analyzed content situation information, and generating the support information that allows the user to self-learn the content according to whether to generate the support information, and outputting the support information to the learning module.

Abstract: Aspects of the present disclosure relate to data cache management. In embodiments, a storage array's memory is provisioned with cache memory, wherein the cache memory includes one or more sets of distinctly sized cache slots. Additionally, a logical storage volume (LSV) is established with at least one logical block address (LBA) group. Further, at least one of the LSV's LBA groups is associated with two or more distinctly sized cache slots based on an input/output (IO) workload received by the storage array.

Abstract: Embodiments of the present disclosure relate to throttling processing threads of a storage device. One or more input/output (I/O) workloads of a storage device can be monitored. One or more resources consumed by each thread of each storage device component to process each operation included in a workload can be analyzed. Based on the analysis, consumption of each resource consumed by each thread can be controlled.

Abstract: Aspects of the present disclosure relate to asynchronous memory management. In embodiments, an input/output (IO) workload is received at a storage array. Further, one or more read-miss events corresponding to the IO workload are identified. Additionally, at least one of the storage array's cache slots is bound to a track identifier (TID) corresponding to the read-miss events based on one or more of the read-miss events' two-dimensional metrics.

Abstract: A synchronous destage process is used to move data from shared global memory to back-end storage resources. The synchronous destage process is implemented using a client-server model between a data service layer (client) and back-end disk array of a storage system (server). The data service layer initiates a synchronous destage operation by requesting that the back-end disk array move data from one or more slots of global memory to back-end storage resources. The back-end disk array services the request and notifies the data service layer of the status of the destage operation, e.g. a destage success or destage failure. If the destage operation is a success, the data service layer updates metadata to identify the location of the data on back-end storage resources. If the destage operation is not successful, the data service layer re-initiates the destage process by issuing a subsequent destage request to the back-end disk array.