Abstract: Methods, systems, and devices for techniques for managing memory exception handling are described. A memory device may write first data associated with a first access command to a first portion of a buffer of a memory device. The memory device may determine a programming failure to write second data to a page of a first block of the memory device. In response to determining the programming failure, the memory device may perform an access operation associated with the first access command to vacate the first data from the first portion of the buffer. In response, the memory device may write the second data to the first portion of the buffer. The memory device may write the second data from the first portion of the buffer to a page of a second block of the memory device in response to writing the second data to the first portion of the buffer.

Abstract: An automated system and corresponding method is configured to predict a call duration of a customer service interaction between a caller and a customer-service agent of a call center, based at least in part on information provided orally by the caller to the automated system. The automated system transcribes the orally provided information, preprocesses the transcribed data, adds feature enrichment data to supplement the transcribed data, and executes a machine-learning model to predict the caller's intent. If the predicted caller's intent does not have an adequate confidence score associated therewith, the system requests additional data from the caller, and supplements the original data with newly provided data, and again determines a predicted call intent. This process may iterate until the confidence score satisfies applicable confidence criteria prior to utilizing two additional machine-learning models to predict a call duration of the interaction between the caller and a customer-service agent.

Abstract: To schedule a future interaction between a caller and a call-center, a management computing system associated with the call center is configured to determine an estimated call time for addressing the caller's issues, based at least in part on a predicted call intent as well as feature enrichment data received from one or more memory storage areas. Upon determining a predicted call duration for the call, the management computing entity accesses the caller's calendar, such as through an internet-based communication between the caller's user computing entity and the management computing entity, or via third-party access permissions provided by the caller. The management computing entity identifies one or more candidate timeslots based at least in part on the predicted call duration, and receives user input selecting a candidate timeslot for scheduling the callback.

Abstract: The present disclosure generally relates to a substrate support that includes a body having a substrate receiving surface, the body comprising a dielectric material. The body also includes a first foil embedded in the body below the substrate receiving surface. The body also includes an electrically conductive mesh embedded in the body below the first foil. The body also includes a center tap structure formed in a bottom surface of the body that is in electrical communication with the mesh.

Abstract: According to some embodiments, systems and methods are provided, including a memory storing processor-executable code; and a processing unit to execute the executable program code to: execute an automation test for a user interface application, wherein execution of the automation test includes accessing a web-object; determine whether the web-object is included in an object repository; in a case it is determined the web-object is not included in the object repository, create the web-object in the object repository; and in a case it is determined the web-object is included in the object repository: determine whether the accessed web-object includes at least one different property from the web-object included in the object repository; and update the web-object included in the object repository with the at least one different property in the accessed web-object. Numerous other aspects are provided.

Abstract: Systems and methods include automatically identifying items from images of items positioned at a POS system. Cameras capture images of the items in which each camera captures images with different FOVs of the items thereby capturing different item parameters of each item. The items are identified when item parameters of the items match item parameters previously identified and the items are failed to be identified when item parameters fail to match item parameters previously identified. Image pixels associated with each unknown item are extracted and mapped to real world coordinates associated with each unknown item as positioned at the POS system. A bounding polygon for each unknown item is generated that encapsulates each unknown item based on the image pixels mapped to the real world coordinates. The bounding polygon is projected onto each unknown item thereby providing feedback for each unknown item positioned at the POS system.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: A method of leveraging artificial intelligence for post-call actions in contact center systems according to an embodiment includes receiving, by a computing system, a transcript of a contact center interaction between a contact center agent and a client in real time, analyzing, by the computing system, the transcript of the interaction to identify one or more action items to be performed with respect to the contact center interaction based on an artificial intelligence model, determining, by the computing system and for each action item of the identified one or more action items, at least one predefined action associated with the respective action item, receiving, by the computing system, an indication that the contact center agent has selected a particular predefined action associated with a particular action item, and performing, by the computing system, the selected predefined action.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. UPC features included in the item parameters associated with each item when combined are indicative as to an indication of the UPC of each item. The UPC features are analyzed to determine whether the UPC features associated with each item when combined match a corresponding combination of UPC features stored in a database. The database stores different combinations of UPC features with each different combination of UPC features associated with a corresponding item thereby identifying each corresponding item based on each different combination of UPC features associated with each item. Each item positioned at the POS system is identified when the UPC features associated with each item when combined match a corresponding combination of UPC features as stored in the database.

Abstract: Methods that may be performed by a host controller and a memory controller of a computing device. The method synchronizes memory tables between the storage device and a host device by modifying an indicator in a first memory table on the storage device in response to a change in a memory mapping, the first memory table mapping logical addresses to physical addresses of memory on the storage device, the indicator identifying one or more address mapping changes of the first memory table, notifying the host device that the first memory table has been modified, and transmitting to the host device at least a portion of the first memory table including the one or more address mapping changes. The storage device processes memory requests from the host device based on one or more addresses affected by the one or more address mapping changes.

Abstract: Methods and apparatus for duty cycle adjuster optimization training algorithms to minimize jitter associated with DDR5 DRAM transmitters. Basic and Advanced Duty Cycle Adjuster (DCA) training algorithms are implemented to reduce duty cycle error and hence reduce phase mismatch translated jitter in the transmitter DQS signals. In accordance with aspects of the Basic DCA training algorithm, duty cycles for QCLK, IBQCLK, and QBCLK are adjusted by a memory controller that utilizes a DCA function implemented on a memory module (e.g., DDR5 SDRAM DIMM) to obtain a first set of optimized DCA code settings. The first set of optimized DCA code settings are then used as initial settings for the Advance DCA training algorithm to further optimize the DCA code settings for QCLK, IBQCLK, and QBCLK. A similar technical may be employed to reduce duty cycle error and jitter for DQ signals.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. Item parameters associated with each item when mapped into a feature vector for each item are indicative as to an identification of the item. The feature vectors are analyzed to determine whether item parameters when combined and mapped into the feature vectors match a corresponding feature vector stored in a database. The database stores different combinations of item parameters as mapped into different stored feature vectors with different stored feature vectors associated with different items thereby identifying each item based on each different combination of item parameters as mapped into each stored feature vector associated with each item. Each item positioned at the POS system is identified when the feature vectors associated with each item match a corresponding stored feature vector as stored in the database.

Abstract: A hydraulic multi-pole actuation system opens all poles of a circuit interrupter simultaneously. The system utilizes Thomson coil arrangements with a wide piston attached to the conductive member of each arrangement. A narrow piston is attached to the movable conductor of each pole assembly in the circuit interrupter. The wide and narrow pistons are contained within a hydraulic tank. Activating the Thomson coils causes the wide pistons to displace the hydraulic fluid, and the displaced fluid pushes against the narrow pistons to cause the movable conductors to open the line connections in their respective pole assemblies. The wide pistons have a greater collective surface area that interfaces with the hydraulic fluid than the narrow pistons do, enabling fewer Thomson coils arrangements to be used than there are poles in the circuit interrupter, and enabling movement of the wide pistons to be amplified during translation into movement of the narrow pistons.

Abstract: A road obstacle warning system (A) includes a plurality of road units (1) and a power supply means for powering the road unit (1) through a main supply line (7). The road units (1) are disposed one adjacent to another on a road surface and configured to interconnect with each other. The road unit (1) includes a top body (2) and at least two shanks (3). The system (A) also includes at least one lighting element (4) comprising optical parameters for carrying light internally in order to glow the entire lighting element (4). The power supply means include any external power source include a solar power system, a step down power supply, a stored battery power supply or any other generated power supply. The road unit (1) is also powered by a wireless power source through induction means.

Abstract: A host device includes a host controller interface (HCI) configured to be coupled to a flash memory device and configured to receive a notification from the flash memory device that a performance threshold register value has been exceeded while the flash memory device is configured to use a shared write buffer. The HCI is also configured to, in response to receiving the notification, perform a remedial action that includes reassigning a portion of a first logical unit (LU).

Abstract: A system and computer-implemented method for a log analytics system that can configure, collect, parse, and analyze log records in an efficient manner. Log records are accessed, each of the log records is associated with a log source. A base parser is identified for parsing a log record based on a type of the log record indicated in the log source. The log record is parsed using the base parser to extract base field values corresponding to base fields. A base-parsed log record is generated on parsing. Sub-parsers are identified using field mappings. The field mappings include base field values mapped to corresponding sub-parsers. The base-parsed log record is parsed using the sub-parsers to extract sub-fields. The sub-fields are merged to the base fields to generate and present an output that includes the parsed log record, the base fields, base field values, the sub-fields and the sub-field values.

Abstract: The present invention discloses a mini pleat V cell filter assembly. The V cell filter assembly comprises a top panel, a bottom panel and a middle frame; all of which are manufactured in a single mold. The plastic meshes which are part of the single molded frame. Each wall of the V structure securely encloses the pleated filter for stronger burst resistance. The single molded mini pleat V cell filter assembly structure provides an higher burst strength estimated to withstand 10,000 Pascal or more of pressure.

Abstract: A method is disclosed here. The method includes receiving an input from an aircraft, determining a towing status of the aircraft based on the input, and sending a message to a transmitter to transmit the towing status of the aircraft. Also disclosed herein is a system including an aircraft including a nose landing gear, a first controller, and a transmitter, wherein the first controller is configured to determine a towing status of the aircraft based on a number of sensor signals received from the aircraft, and the transmitter is configured to transmit the towing status and a tow truck configured to tow the aircraft, the tow truck including a second controller and a receiver, wherein the receiver is configured to receive the towing status from the transmitter, and the second controller is configured to provide an indication of the towing status of the aircraft.

Abstract: The disclosed techniques store certain information of functional modules and lanes to optimize a die-to-die interconnect link. Based on the information, the apparatus can optimize a link width and a multi-module link configuration of the interconnect link. An integrated circuit device includes a first die, a second die, and a die-to-die (D2D) interconnect link connected between the first die and the second die. The D2D interconnect link includes a plurality of lanes grouped into a plurality of modules. The apparatus maintains a training result of the D2D interconnect link based on the training of the D2D interconnect link, the training result including one or more link configurations of the plurality of modules. The apparatus selects a link configuration of the one or more link configurations to configure the D2D interconnect link including one or more of the plurality of modules.

Abstract: Systems and methods include extracting item parameters from images of items positioned at a POS system. The item parameters associated with each item are indicative as to an identification of each item thereby enabling the identification of each item based on the item parameters. The item parameters are analyzed to determine whether the item parameters match item parameters stored in a database. The database stores different combinations of item parameters to thereby identify each item based on each different combination of item parameters associated with each item. Each item positioned at the POS system is identified when the item parameters for each item match item parameters as stored in the database and fail to identify each item when the item parameters fail to match item parameters. The item parameters associated with the items that fail to match are streamed to the database thereby enabling the identification of each failed item.