9 results about "Activity profile" patented technology

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.

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.

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.

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.

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.

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.

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.