Abstract: Disclosed is an electrostatic discharge (ESD) protection structure for a circuit component connected to a first pad by an interconnect. The structure includes: a trigger circuit; a trigger circuit disconnect switch connected between the interconnect and trigger circuit; and a discharge circuit connected to a trigger voltage output node of the trigger circuit and to the interconnect. The switch enables the interconnect to be disconnected from the trigger circuit during testing of the circuit component (e.g., during wafer level testing to assess gate integrity) and to otherwise be continuously connected to the trigger circuit to facilitate ESD protection. The switch can be a depletion mode high electron mobility transistor (HEMT) with a gate connected to a second pad, which is connected to receive a negative voltage during testing and which is otherwise left floating. Also disclosed are a package chip including the ESD protection structure and associated methods.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: A multi-domain RC clamp circuit. A circuit is provided that includes a first power domain having a first RC clamp with a first transistor arranged to bypass a first resistor of the first RC clamp; and a second power domain having a second RC clamp with a second transistor arranged to bypass a second resistor of the second RC clamp, wherein the second transistor is controlled by a first input from the first power domain and the first transistor is controlled by a second input from the second power domain.

Abstract: A data protection method and a storage device are provided. The method includes: reading a first data frame from a first physical unit; executing first type decoding operation on the first data frame; if the first type decoding operation fails, determining whether group data complies with a preset condition, where the group data includes the first data frame and a second data frame read from a second physical unit; if the group data complies with the preset condition, executing second type decoding operation on the group data; if the group data does not comply with the preset condition, dividing the first data frame into multiple first sub-data segments and dividing the second data frame into multiple second sub-data segments, and executing third type decoding operation based on the first sub-data segments and the second sub-data segments. Thereby, the data protection capability of the storage device may be improved.

Abstract: The invention provides a data storage method and a storage device. The method includes: obtaining first data and second data; caching the first data in a first buffer in a plurality of buffers, wherein the first buffer is connected to a first physical group; caching the second data in a second buffer in the plurality of buffers, wherein the second buffer is connected to a second physical group; and storing the first data cached in the first buffer and the second data cached in the second buffer into the first physical group sequentially. Therefore, balance may be achieved between reducing costs, maintaining basic data write operations, and reducing write amplification.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: A detection method for a memory storage device and a non-transitory computer-readable recording medium are provided. The memory storage device includes a rewritable non-volatile memory module including physical tuples. The method includes: selecting a physical tuple from the physical tuples as a reference tuple, determining physical addresses according to a physical address of the reference tuple and predetermined address offsets, and treating the physical tuples corresponding to the physical addresses as contrast tuples; writing test data into the reference tuple; reading a first contrast tuple from the contrast tuples according to a first physical address among the physical addresses to obtain a first read result; and determining whether an addressing anomaly occurs according to the first read result and the test data. In this method, it can be determined whether an error occurs in an addressing process, and a location where an addressing anomaly occurs can be determined.

Abstract: A memory management method and a memory controller using the same are provided. The memory management method includes: selecting a target bad block from one or a plurality of bad blocks of a rewritable non-volatile memory module to write first data; reading the target bad block to obtain second data, and comparing the first data and the second data to determine one or more error byte positions; establishing a bad byte table according to the one or more error byte positions; resetting a plurality of physical addresses of a plurality of storage units owned by each bad block of a target plane to which the target bad block belongs according to the bad byte table; and setting bad blocks of the target plane as normal physical blocks to store data.

Abstract: The present disclosure relates to semiconductor structures and, more particularly, to silicon controlled rectifiers and methods of manufacture. The structure includes: a plurality of wells of a first conductivity type; a well of a second conductivity type which is different than the first conductivity type; an intrinsic semiconductor region between the well and the plurality of wells; and contacts within the plurality of wells.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: Disclosed is a method for improving quality of cured loin ham mediated by sorbitol, belonging to the field of food processing. The method comprises the following steps: treating loin with curing material containing sorbitol, inoculating bacterial suspension, and fermenting at constant temperature and humidity to obtain sorbitol-mediated curing loin ham. Through experiments, it is found that the salt content, pH value and aw of sorbitol group are lower than those of control group in the whole production and processing process; only Lactobacillus is the dominant genus in the control group, while Staphylococcus and Lactobacillus are the dominant genera in the sorbitol group.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: An air passageway system (100) includes an annular air delivery passageway (132), a linear air delivery passageway (112b), and one or more air injection passageways (134a-1341, 116). The annular air delivery passageway (132), the linear air delivery passageway (112b), and the one or more air injection passageways (134a-1341, 116) are constructed from flexible polyvinyl chloride walls.

Abstract: A computer-implemented method for determining features of a dataset that are indicative of anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) executing a time series decomposition algorithm on a portion of the features of the data to generate a first list of features, (3) implementing a plurality of traffic dispersion graphs to generate a second list of features, and (4) implementing an autoencoder and a random forest regressor to generate a third list of features.

Abstract: A computer-implemented method for detecting anomalous behavior of one or more computers in a large group of computers comprises (1) receiving log files including a plurality of entries of data regarding connections between a plurality of computers belonging to an organization and a plurality of websites outside the organization, each entry being associated with the actions of one computer, (2) applying a first plurality of algorithms to determine features of the data which may contribute to anomalous behavior of the computers, and (3) applying a second plurality of algorithms to determine which computers are behaving anomalously based upon the features.

Abstract: A spa (100) with built-in seating is disclosed. The spa (100) includes a pool body (10) partially enclosing a water cavity (11), and a seating assembly (20). The seating assembly (20) includes an inflatable bench (23) attached to a floor of the pool body (10), and an inflatable backrest (25) attached to the inflatable bench (23) by at least one attachment assembly (31) having an adjustable length such that a user can adjust a position of the inflatable backrest (25) relative to the inflatable bench (23).

Abstract: An image analysis (“IA”) computer system for analyzing images of hail damage includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) store a damage prediction model associated with a rooftop, wherein the damage prediction model utilizes an artificial intelligence algorithm; (ii) display, to a user, an image of a rooftop; (iii) receive, from the user, a request to analyze damage to the rooftop; (iv) apply, by the at least one processor, the damage prediction model to the image, the damage prediction model outputting a plurality of damage prediction locations of the rooftop in relation to the image; and/or (v) display, by the at least one processor, an overlay box at each of the plurality of damage prediction locations, the overlay box being a virtual object overlaid onto the image for labeling the damage prediction locations.

Abstract: An air passageway system (100) includes an annular air delivery passageway (132), a linear air delivery passageway (112b), and one or more air injection passageways (134a-1341, 116). The annular air delivery passageway (132), the linear air delivery passageway (112b), and the one or more air injection passageways (134a-1341, 116) are constructed from flexible polyvinyl chloride walls.