40 results about "Activity profile" patented technology

An illustrative method includes monitoring operations performed with respect to a storage system by an entity using an identity associated with a particular role, the particular role providing the entity with a set of permissions associated with the storage system; determining, based on the monitoring, that one or more operations of the operations deviate from an expected activity profile associated with the role by more than a threshold; and performing, based on the determining that the one or more operations deviate from the expected activity by more than the threshold, a remedial action with respect to the entity.

Various embodiments include techniques for managing cache memory in a computing system. The disclosed techniques include a cache policy manager that monitors activity of various components that access a common cache memory. The cache policy manager establishes cache rules that determine what data remains stored in cache memory and what data is removed from cache memory in order to make room for new data. As the activities of these components change over time, cache rules that work well for a previous activity profile may no longer work well for the current activity profile. Therefore, the cache policy manager dynamically modifies the cache rules as the activity profile changes in order to select cache rules at any given time that work well with the current activity profile. These techniques are advantageous over conventional approaches that employ static cache rules that work well only for specific activity profiles.

An anomaly detection system uses configuration-related activity profiles, generated in course of threat samples analysis in a secure testing environment, consisting of features of system events and system configurations of endpoints and shared network assets. Backup archives and activity monitors are used to collect system events and system configurations from corporate networks to analyze them with threat pattern databases including configuration-related activity profiles.

A system comprising processing circuitry configured to receive a wirelessly-transmitted messages from a patient or responder via one of their devices, the messages indicating a verified connection with that patient or responder device and a current location of the patient. After a number of messages, the processing circuitry generates an activity profile for the patient or responder such that in response to a next message, the processing circuitry is configured to determine a level of responsiveness to attribute to the patient or responder and coordinate an emergency response to the patient's current location based on the level of responsiveness.

A dynamic grid allocation system for power distribution in the development of integrated circuits in the sub-five-nanometer range, wherein the system comprises the following: a placement processor unit configured to receive a synthesized netlist comprising a variety of standard cells and macros, each associated with switching activity data derived from simulation or synthesis activity profiles, and to generate a spatial cell placement arrangement by grouping cells into microzones based on activity correlation, time sensitivity, and connection proximity; a power density calculation unit coupled to the placement processor unit and configured to calculate the local power density and instantaneous current demand for each microzone based on the spatial distribution of switching operations, capacity load, and effective switching frequencies; a dynamic network generation unit coupled to the power density calculation unit and configured to generate a multilayer power distribution network with variable network topology, where the width, spacing, via density and metal layer assignment of the power network are adaptively determined as continuous functions of the localized power density and power demand calculated for each microzone; a topology control processor configured to monitor voltage drop and electromigration data obtained from signoff analyses or predictive models in real time and dynamically adjust the power grid topology parameters to ensure compliance with predefined reliability thresholds for voltage drop and electromigration; a predictive current modeling unit configured to receive historical switching and voltage data, train a predictive model for transient current peaks, and provide predictive power boost instructions to the dynamic grid generation unit before power integrity violations occur; and A feedback synchronization controller is communicatively connected to the placement processor unit and the topology control processor, whereby the feedback synchronization controller continuously exchanges updated power density information and placement constraints, so that cell placement and network topology adapt together in real time, thereby minimizing routing congestion, ensuring a uniform voltage distribution, and guaranteeing compliance with electromigration and IR drop regulations under various activity conditions.

A computer-implemented method for treating a patient suffering from Type I Diabetes (T1D). The method can include quantifying physical activity (PA) of the patient; calculating an accumulated PA periodically based on the quantified PA, the accumulated PA indicating an aggregate of the PA; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with a previous activity component, wherein the previous activity component is based on the accumulated daily PA, an activity profile, and an activity factor of the patient. The method can include determining an additional glucose uptake within a time period, the additional glucose uptake being caused by a PA; translating the additional glucose uptake into a number of insulin units with a same BG lowering impact; and generating an activity informed insulin bolus by adjusting a prevalent functional insulin therapy bolus with the insulin units.

Various embodiments include techniques for managing cache memory in a computing system. The disclosed techniques include a cache policy manager that monitors activity of various components that access a common cache memory. The cache policy manager establishes cache rules that determine what data remains stored in cache memory and what data is removed from cache memory in order to make room for new data. As the activities of these components change over time, cache rules that work well for a previous activity profile may no longer work well for the current activity profile. Therefore, the cache policy manager dynamically modifies the cache rules as the activity profile changes in order to select cache rules at any given time that work well with the current activity profile. These techniques are advantageous over conventional approaches that employ static cache rules that work well only for specific activity profiles.

Various embodiments include techniques for managing cache memory in a computing system. The disclosed techniques include a cache policy manager that monitors activity of various components that access a common cache memory. The cache policy manager establishes cache rules that determine what data remains stored in cache memory and what data is removed from cache memory in order to make room for new data. As the activities of these components change over time, cache rules that work well for a previous activity profile may no longer work well for the current activity profile. Therefore, the cache policy manager dynamically modifies the cache rules as the activity profile changes in order to select cache rules at any given time that work well with the current activity profile. These techniques are advantageous over conventional approaches that employ static cache rules that work well only for specific activity profiles.

Various embodiments include techniques for managing cache memory in a computing system. The disclosed techniques include a cache policy manager that monitors activity of various components that access a common cache memory. The cache policy manager establishes cache rules that determine what data remains stored in cache memory and what data is removed from cache memory in order to make room for new data. As the activities of these components change over time, cache rules that work well for a previous activity profile may no longer work well for the current activity profile. Therefore, the cache policy manager dynamically modifies the cache rules as the activity profile changes in order to select cache rules at any given time that work well with the current activity profile. These techniques are advantageous over conventional approaches that employ static cache rules that work well only for specific activity profiles.

A computerized method for detecting whether a subject is experiencing an event (e.g., a feeding event or a scratching event) is provided. The method may include receiving time series data derived from data recorded by an activity tracing device worn on a subject's wrist, and calculating a set of birth and death coordinates for each of a plurality of topological features in the received time series data. The method may also include calculating a digital feature based on the calculated set of birth and death coordinates, and determining whether the object is experiencing the event based on the calculated digital feature. In some embodiments, methods for selecting digital features using the Bayesian method for detecting whether an object is experiencing an event are also provided.

Methods and systems, including computer programs encoded on a computer storage-medium, are disclosed for implementing intelligent detection of wellness events using mobile device sensors and cloud-based learning systems. A system obtains sensor data generated by sensors integrated in a mobile device of a user. A machine-learning (ML) engine of the system generates a predictive model that identifies behavioral trends of the user. The model is generated using a neural network trained to identify patterns representing user trends in the sensor data. Based on communications with the device, the model is used to generate activity profiles of the user from the behavioral trends. The model is used to detect abnormal events involving the user when a parameter value of the activity profile exceeds a threshold. Notifications directed to assisting the user with alleviating the abnormal event are generated after detecting the abnormal events.

Described herein are methods for identifying and measuring one or more non-classical variant(s) of amyloid precursor protein (APP) gene. Provided herein are methods for diagnosing and treating an individual having or suspected of having Alzheimer's disease following identification of an expression profile or an activity profile of the one or more non-classical variant(s).

A device for evaluating the performance of visual equipment for a wearer. The device includes at least one input adapted to obtain virtual tests to be performed with the equipment, each test including at least one scenario combined with at least one virtual model of the wearer, defining how a visual task including a sequence of fixation points is to be carried out by the model in an environment defined by a description of shapes and positions of elements to be viewed by the model, at least one processor configured for selecting at least one test, based on at least one personalized real or simulated wearer activity profile representing usage of the equipment by the wearer, and evaluating the performance of the equipment with which the selected test is performed by the model by computing for one or more fixation points at least one performance criterion generated for the task.

An electronic device comprises circuitry configured to perform audio processing on an audio mixture (200) based on an audio source activity profile (201) to obtain a target audio source (203).

Identification information is received at a transaction machine. The identification information is associated with a user associated with an account. Using an activity profile of the user, a determination is made to enable chained transactions during the user's use of the transaction machine. A sequence of user interfaces to display to the user is generated enabling the user to chain transactions based on the activity profile.

The invention discloses a multi-level activity management method and device, equipment and a storage medium. The method comprises the steps that a main platform creates an activity and generates a first token about the activity; each primary platform obtains a first token of the main platform; the first-level platform analyzes the first token, extracts a version number, a token code and a domain name of the activity platform, splices an interface URL based on an agreed path of the domain name of the activity platform, and initiates an activity information request to a corresponding platform by carrying the version number and the token code; the target platform verifies the legality of the token code sent by the primary platform, inquires corresponding activity information based on the token code and returns activity information data according to a format specified by a version number; the first-level platform creates a first-level activity based on the returned activity information data, recycles and processes first-level activity data, and generates data of the first-level activity; the primary platform uploads the data to the main platform; and the main platform receives and stores the data. According to the method, the workload of a platform administrator can be greatly reduced, and the expansibility is better.

Methods and systems described herein are directed to automatedly generating one or more insurance coverage recommendations. An insurance coverage recommendation system can retrieve data for a planned activity of the user, including a description for the planned activity and its location and duration. The system can then predict weather for the planned activity. Using the description for the activity, the location, the duration, and the predicted weather, the system can generate a user activity profile. The profile can be analyzed with a machine learning model, trained based on past insurance claims, to generate one or more needed insurance coverage levels for the planned activity. The needed insurance coverage levels can be mapped to one or more respective insurance coverage recommendations for applicable insurance products.

1. Name of the Design Product: Graphical User Interface for Activity Process Tracking of Electronic Devices. 2. Use of the Design Product: For human-computer interaction and display. 3. Design Key Points of the Design Product: Lies in the content and layout of the graphical user interface on the screen. 4. Picture or Photograph that Best Illustrates the Design Key Points: The front view of Design 1. 5. The claimed design includes color. 6. Use of the Graphical User Interface: For activity process tracking. 7. Human-Computer Interaction Method of the Graphical User Interface: The front views of Design 1-6 are the interfaces after login; Interface Change State Diagram 1 of Design 1 is the interface after clicking "Activity Agenda" in the front view of Design 1; Interface Change State Diagram 2 of Design 1 is the interface after clicking "Venue 1" in Interface Change State Diagram 1 of Design 1; Interface Change State Diagram of Design 2 is the interface after clicking "Photo Live" in the front view of Design 2; Interface Change State Diagram of Design 3 is the interface after clicking "Activity Materials" in the front view of Design 3; Interface Change State Diagram of Design 4 is the interface after clicking "Activity Contact" in the front view of Design 4; Interface Change State Diagram of Design 5 is the interface after clicking "Hotel Introduction" in the front view of Design 5; Interface Change State Diagram of Design 6 is the interface after clicking "Warm Reminder" in the front view of Design 6. 8. Other Situations Requiring Explanation: Design 1 is the basic design. 9. Other Situations Requiring Explanation: The single color block and X in the interface change state diagrams of Design 2 and Design 5 are variable contents.

Methods, systems, and devices, including software stored on storage media, coordinate dynamic adjustments of a trailer, based in part on a user profile associated with the user's physical presence in the trailer and an activity profile associated with the selected activity to be performed in it. A dynamic adjustment can modify the slope of the trailer's underside. It can also modify one or more dimensions of the trailer, based in part on object detection. Several dynamic adjustments can occur simultaneously, individually, or sequentially. The trailer can be mobile and temporarily attached to a vehicle.

Several embodiments include techniques for managing cache memory in a computer system. The disclosed techniques include a cache policy manager that monitors the activity of various components accessing a common cache memory. The cache policy manager establishes cache rules that determine which data remains in the cache memory and which data is removed from the cache memory to make room for new data. If the activities of these components change over time, cache rules that worked well for a previous activity profile may no longer work well for the current activity profile. Therefore, the cache policy manager dynamically modifies the cache rules as the activity profile changes in order to select cache rules at any given time that work well with the current activity profile.These techniques are advantageous compared to traditional approaches that use static cache rules which only work well for certain activity profiles.

Disclosed are various embodiments for generating a group activity profile. To begin, a computing device can receive a request to establish a relationship between a first user and a second user. The computing device can receive one or more identifiers associated with the first user. Then, the computing device can verify the relationship between the first user and the second user based at least in part on the one or more identifiers. Next, the computing device can receive consent to establish the relationship. Finally, the computing device can generate a relationship profile comprising at least first user data associated with the first user and second user data associated with the second user.

Described herein are methods for identifying and measuring one or more non-classical variant(s) of amyloid precursor protein (APP) gene. Provided herein are methods for diagnosing and treating an individual having or suspected of having Alzheimer's disease following identification of an expression profile or an activity profile of the one or more non-classical variant(s).

An enhanced connectivity computer platform includes a central handler communicatively coupled to a plurality of user computing devices and configured to maintain a cloud-based infrastructure for a connector application, a first instance of the connector application executed on a first user computing device and configured to cause display of a GUI on the first user computing device, and a background operator of the connector application executed on the first user computing device. The platform stores activity profiles for user, receives requests for data from the activity profiles, and facilitates permissioned access to the data.

A method and a system for providing contents within a region of interest of a user are provided. The system includes a serving system having a database, and an application program executed in a user device. The application program is configured to initiate a user interface for allowing the user to browse the one or more contents within the region of interest. The serving system receives an instruction that is generated when the user clicks a link to enter the region of interest via the user interface. The database is queried according to one or more regions of interest of the user in a user regional activity profile, so as to obtain the contents within every region of interest. Lastly, the serving system provides links associated with the one or more contents to the user device, and the links can be displayed on the user interface.

A system and method for managing information related to marine activities and selectively sharing such information is provided. The system is designed to collect environmental data and create buoy profiles that may be analyzed by users to scout environmental conditions that may be conducive to catching fish in certain geolocations. Buoy profiles are updated in real time by fisherman using the system. The system is also designed to collect information pertaining to a catch and create an activity profile that may be analyzed by users to scout optimal geolocations in which to catch fish. A user's activity profiles may be shared with other users or kept private depending on permission levels within the system. Additionally, the system is designed to alert users of dangerous weather conditions and optimal fishing geolocations based on the buoy profiles and environmental states created by the system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, coordinate dynamic adjustments of a trailer based in part on a user profile associated with a user physically present at the trailer and an activity profile associated with an activity selected to be performed at the trailer. A dynamic adjustment may modify a tilt of a lower surface of the trailer. A dynamic adjustment may modify a dimension(s) of the trailer based in part on a detected object(s). Various dynamic adjustments may occur concurrently, individually and / or sequentially. The trailer may be a moveable trailer for temporary attachment with a vehicle.