Abstract: An example method includes: during a container load process, controlling a sensor assembly to capture sensor data depicting a container interior; detecting, from the sensor data, items in the container interior; determining, based on the detected items, first and second load process metrics associated with first and second targets; generating first and second normalized metrics based on the first and second load process metrics, and the first and second targets; obtaining a first weighting factor associated with the first load process metric, and a second weighting factor associated with the second load process metric; combining the first normalized metric and the first weighting factor, with the second normalized metric and the second weighting factor, to generate an aggregated load process metric; and transmitting a control command according to the aggregated load process metric; and rendering, at an indicator device, a load process state indicator according to the control command.

Abstract: An exemplary clutch mechanism includes a casing, first and second hubs rotatably mounted to the casing, an electrically-actuated drive assembly mounted within the casing, and a clutching lug movably mounted within the casing. The lug has an engaged position in which the lug couples the hubs for joint rotation and a disengaged position in which the hubs are rotationally decoupled. The drive assembly is operable to drive the lug between the engaged and disengaged positions to couple and decouple the hubs. The clutch mechanism is modular and self-contained within the casing such that the mechanism can be installed to each of a plurality of different lockset products without opening the casing.

Abstract: Systems, computer program products, and methods for detecting and preventing malfeasant activity based on patterns in malfeasant activity are provided. The method includes receiving a plurality of communication data packets associated with one or more online forums. Each communication data packet includes communication(s) within a conversation on the online forum(s). The method also includes determining a first malfeasant communication data packet of the plurality of communication data packets. The malfeasant communication data packet is associated with a conversation in which malfeasant activity is being discussed. The method further includes determining first malfeasant activity characteristic(s) from the first malfeasant communication data packet indicative of malfeasant activity. The method also includes detecting a potential malfeasant activity based on at least one of the first malfeasant activity characteristic(s).

Abstract: Systems, computer program products, and methods are described herein for implementing AI to generate a time-sensitive notifications related to configuration of graphical user interfaces. The present invention is configured to identify a primary user account; collect a primary user account dataset; generate a time sensitive notification AI engine associated with the primary user account; access, by the time sensitive notification AI engine, a user account database; identify at least one comparable user account and an associated at least one comparable user account dataset; compare, by the time sensitive notification AI engine, the primary user account dataset and the at least one comparable user account dataset; generate a time sensitive notification for the primary user account; and transmit a time sensitive notification interface component to a user device associated with the primary user account.

Abstract: System and method for analyzing operating systems uses information regarding access bits set in page table entries to identify code segments of an operating system that were not executed. These code segments are identified by first identifying untouched memory pages using the information regarding the access bits in the page table entries, and then identifying functions of the operating system using physical memory addresses for the untouched memory pages. The identified functions represent the code segments of the operating system that were not executed.

Abstract: System and computer-implemented method allocates log buffers at a host server, receives log data from a data processing unit (DPU) that is connected to the host server and stores the log data in the log buffers at the host server, and transmits the log data stored in the log buffers back to the DPU to be stored in storage of the DPU such that the host server is used to temporarily store the log data.

Abstract: System and computer-implemented method enables a hardware watchdog timer in a data processing unit (DPU) and detects that a host server that is connected to the DPU is unresponsive when the hardware watchdog timer expires without receiving a timer reset request from a host watchdog service timer thread running in the host server.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program receives a request to process an image for multiple objects. The program further uses a machine learning model to detect a plurality of objects in the image. The program also generates a plurality of images based on the plurality of objects in the image. For each image in the plurality of images, the program further converts text in the image to machine-readable text. For each image in the plurality of images, the program also uses a set of machine learning models to determine a set of values for a set of attributes. For each set of values determined for the set of attributes, the program further generates a record comprising the set of attributes and storing the set of values for the set of attributes in the record.

Abstract: Methods and systems are disclosed herein for using anomaly detection in timeseries data of user sentiment to detect incidents in computing systems and identify events within an enterprise. An anomaly detection system may receive social media messages that include a timestamp indicating when each message was published. The system may generate sentiment identifiers for the social media messages. The sentiment identifiers and timestamps associated with the social media messages may be used to generate a timeseries dataset for each type of sentiment identifier. The timeseries datasets may be input into an anomaly detection model to determine whether an anomaly has occurred. The system may retrieve textual data from the social media messages associated with the detected anomaly and may use the text to determine a computing system or event associated with the detected anomaly.

Abstract: Systems and methods for effective set sampling and set-dueling in large distributed system level caches are described. An example method includes a shared cache instance (SCI), from among a plurality of SCIs, receiving a request associated with a thread, where the request comprises policy information for specifying at least one of two cache algorithms for implementation by the SCI for any requests associated with the thread. The method further includes the SCI implementing the at least one of the two cache algorithms specified by the policy information received as part of the request associated with the thread unless the SCI is identified as a delegated shared cache instance, from among the SCIs, for determining a winner between the two cache algorithms for use with any requests associated with the thread.

Abstract: An application management platform comprising at least a packaging and bundling component, a deployment management component, and an update component. The packaging and bundling component versions, packages, and bundles a plurality of infrastructure components for a remote data center. The deployment management component provisions one or more nodes of the remote data center with the plurality of infrastructure components for an application. The update component monitors available updates to one or more of the plurality of infrastructure components used by the remote data center and facilitates update of the one or more of the plurality of infrastructure components at the remote data center.

Abstract: An application management platform comprising at least a packaging and bundling component, a deployment management component, and an update component. The packaging and bundling component versions, packages, and bundles a plurality of infrastructure components for a remote data center. The deployment management component provisions one or more nodes of the remote data center with the plurality of infrastructure components for an application. The update component monitors available updates to one or more of the plurality of infrastructure components used by the remote data center and facilitates update of the one or more of the plurality of infrastructure components at the remote data center.

Abstract: A comprises a vehicle control unit, VCU, and a control module, CM, configured to control the torque actuators. The VCU is configured to send to the CM a parameter request and a desired recuperation power or a desired parameter split ratio. If the CM determines that these are conflicting targets, then based on one or more predefined criteria, the CM will apply a parameter value and allocate a recuperation power or a parameter split ratio such that the applied parameter value is different from the requested one and/or the allocated recuperation power or parameter split ratio is different from the desired one. A method of controlling a wheel is also disclosed.

Abstract: A head-measuring device is disclosed and includes a support frame. The head-measuring device also includes a plurality of movable arms comprising a first set of movable arms and a second set of movable arms. The first set includes a first outermost arm, the second set includes a second outermost arm opposite the first outermost arm, and each movable arm is movable between a first position and a second position. The head-measuring device also includes a stationary arm coupled to the support frame such that the stationary arm is approximately equidistant between the outermost arms as the outermost arms are moved between the first and second positions. The plurality of movable arms are parallel to each other and to the stationary arm. The first and second sets of movable arms are mechanically linked such that the first set moves synchronously with the second set between the first and second positions.

Abstract: Systems, computer program products, and methods are described herein for implementing dynamic multi-factor soft lock on user identifiers. The present invention is configured to receive, from a first user input device, a network registration request from a user to obtain authorization to execute resource transfers within a distributed network using a first user identifier; query, using an information retrieval engine, metadata associated with the user within the distributed network for traceable instances of digital activities of the user; determine one or more user identifiers based on at least the metadata associated with the user; execute, using an authentication subsystem, a soft lock on the one or more user identifiers; approve authorization for the user to execute the resource transfers within the distributed network using the first user identifier; and transmit control signals configured to cause the first user device to display the authorization.

Abstract: The present invention describes a method (700) for recommending energy efficient routes to vehicles, for V2V energy exchange. The method recites identifying (702) at least one energy consumer vehicle and one or more energy supplier vehicles, among a plurality of vehicles and selecting (704), for each of the identified at least one energy consumer vehicle, at least one corresponding energy supplier vehicle from the identified one or more energy supplier vehicles. The method further recites calculating (712) an updated optimal route for the selected at least one energy supplier vehicle and for the at least one energy consumer vehicle. The method further recites recommending (714) the updated optimal route for the at least one energy supplier vehicle and the at least one energy consumer vehicle for V2V energy exchange, indicating at least one energy exchange location and duration of energy exchange.

Abstract: Live-custom recording functionality is described. Live-custom recording can help a teleconferencing participant overcome situations where the participant may, for example, not have been attentive and therefore may have missed what was communicated. Another example of a situation that can be overcome with techniques described in this paper is one in which the participant cannot hear the speaker due to inadequate or low bandwidth and network connectivity issues. An enhanced conference recording functionality such as the live-custom recording functionality proposed and described herein is designed to capture applicable segments or clips of the teleconference meeting.

Abstract: The present disclosure involves systems, software, and computer implemented methods for transaction auditing. One example method includes receiving receipt data associated with an entity. Policy questions associated with the entity are associated with at least one policy question answer that corresponds to a conformance or a violation of a policy selected by the entity. For each policy question, a machine learning policy model is identified for the policy question that includes, for each policy question answer, receipt data features that correspond to the policy question answer. The machine learning policy model is used to automatically determine a selected policy question answer to the policy question by comparing features of extracted tokens to respective receipt data features of the policy question answers that are included in the machine learning policy model. In response to determining that the selected policy question answer corresponds to a policy violation, an audit alert is generated.

Abstract: A lock apparatus generally includes a connecting portion, a housing, a primary lock, and a secondary lock. The connecting portion is engageable to the housing with a bolt assembly, and the primary lock locks the bolt assembly in the engaged position. The secondary lock arrests the bolt assembly in the engaged and locked condition in response to an attack that displaces the primary lock from a nominal configuration.

Abstract: An automated large language model (LLM) based risk summarization system and method, wherein the system includes: a latent information extraction subsystem configured to extract latent information of an entity through querying an LLM for latent knowledge related to the entity; a document information extraction subsystem configured to obtain document information related to the entity from one or more documents; a search query generator subsystem configured to formulate one or more search queries based on the latent information and the document information; a content finder subsystem configured to execute the one or more search queries to obtain search results having content indicator data; and a content summarizer subsystem configured to use the LLM or another LLM to create a summary of content associated with the content indicator data.