41 results about "Fitness score" patented technology

A subset of quality metrics as input to a disk drive failure prediction algorithm (DFPA) may be selected using a genetic algorithm. The DFPA is executed for an initially selected generation of subset quality metrics using quality metric values stored in a reference data base. At least one DFPA setting is adjusted and the DFPA executed again for the selected subset. After training the DFPA, the best DFPA setting is saved for the selected subset. A fitness score is generated for the selected subset, representing an accuracy of the DFPA relative to failure indicators stored in the reference data base. At least one genetic operator is applied in response to the fitness scores to generate a new generation of subsets. The process is repeated until a best subset of quality metrics and corresponding DFPA setting are found.

A computing system for automatically identifying individual regions in a digital image that include a human face, forming combined padded regions and automatically evaluating each of the regions including calculating a fitness score for each of the combined padded regions and ignoring at least one of the combined padded regions whose fitness score is below a known threshold.

Systems and method for modeling system dynamics, including extracting features representative of a temporal evolution of a dynamical system, further including deriving one or more vector trajectories by performing sliding window segmentation of one or more time series; applying a linear test to determine whether the one or more vector trajectories are linear or nonlinear; and performing linear or nonlinear subspace decomposition on the vector trajectory based on the linear test. The system and method may generate a system evolution model from the extracted features of the dynamical system and determine a fitness score of the system evolution model.

A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.

The invention discloses an intelligent fuzzy testing method and system based on vulnerability learning. The intelligent fuzzy testing system comprises a data preprocessing module, a bug prediction module and a bug-oriented fuzzy testing module, wherein the data preprocessing module is used for performing reverse analysis on a to-be-tested binary program to obtain a control flow chart of the to-be-tested binary program and performing feature extraction on each basic block in the control flow chart to obtain a feature vector of each basic block; the bug prediction module is used for predicting the probability of bugs exiting in each function in the program according to the control flow chart of the to-be-tested binary program; and the bug-oriented fuzzy testing module is used for testing theto-be-tested binary program and calculating input fitness scores by combining a certain input execution path, the probability of bugs existing in a function in the execution path and an execution result; input of a high-fitness score is used as a seed to perform heritable variation to generate next-generation input, and the to-be-tested binary program is tested cyclically till testing is over. Through the intelligent fuzzy testing system, the bugs in the binary program can be mined more efficiently.

A technique for determining placement fitness for partitions under a hypervisor in a host computing system having non-uniform memory access (NUMA) nodes. In an embodiment, a partition resource specification is received from a partition score requester. The partition resource specification identifies a set of computing resources needed for a virtual machine partition to be created by a hypervisor in the host computing system. Resource availability within the NUMA nodes of the host computing system is assessed to determine possible partition placement options. A partition fitness score of a most suitable one of the partition placement options is calculated. The partition fitness score is reported to the partition score requester.

A computer implemented method for modifying a digital image comprises automatically identifying any individual regions in the digital image that each include a human face, automatically padding each of the regions, automatically digitally defining combined padded regions that each include one padded region, automatically evaluating each of the combined padded regions including assigning a fitness score to each of the combined padded regions and ignoring from further modification at least one of the combined padded regions whose fitness score is below a preselected threshold.

This invention relates to fitness monitors and the like. This invention is more particularly directed to a device and a method for facilitating quantitative evaluation of level of physical fitness (fitness score) including a PC or handheld, or watch type electronic device having input and output means based on formulas for calculating level of physical fitness through heart rate variability analysis during orthostatic intervention by assessing two main parameters, such as level of adaptation reserve and wellness level.

A technique for determining placement fitness for partitions under a hypervisor in a host computing system having non-uniform memory access (NUMA) nodes. In an embodiment, a partition resource specification is received from a partition score requester. The partition resource specification identifies a set of computing resources needed for a virtual machine partition to be created by a hypervisor in the host computing system. Resource availability within the NUMA nodes of the host computing system is assessed to determine possible partition placement options. A partition fitness score of a most suitable one of the partition placement options is calculated. The partition fitness score is reported to the partition score requester.

A technique for determining placement fitness for partitions under a hypervisor in a host computing system having non-uniform memory access (NUMA) nodes. In an embodiment, a partition resource specification is received from a partition score requester. The partition resource specification identifies a set of computing resources needed for a virtual machine partition to be created by a hypervisor in the host computing system. Resource availability within the NUMA nodes of the host computing system is assessed to determine possible partition placement options. A partition fitness score of a most suitable one of the partition placement options is calculated. The partition fitness score is reported to the partition score requester.

A genetic algorithm architecture implements a two-stage completion genetic algorithm with respect to an evolving current population data set. The two-stage completion genetic algorithm that includes genotype and phenotype completion loops. The genotype completion loop operates to compete the current population data set based on genotype field fitness scores. The genotype completion loop also implements a phenogenesis operator used to generate a current phenotype set. The phenotype completion loop operates, concurrently with the genotype completion loop, to evaluate the current phenotype set, constrained relative to the current population data set, against a fitness function to produce phenotype fitness scores. The phenotype completion loop implements a genotype reduction operator that then determines corresponding genotype fitness scores for use as the basis for competition in the genotype completion loop.

A method, system and computer-usable medium for determining shutter fluttering sequence. The disclosed approach is based on the use of shutter flutter technology, which means that an image can be acquired in such a manner as to encode all information about the moving subject. The disclosed approach involves determining a shutter's fluttering pattern that optimally encodes information at all frequencies. The disclosed approach involves an optimization method for finding a shutter fluttering pattern that has several desired properties. These properties can be expressed in the context of a fitness function: given a fluttering pattern and the target subject's velocity, it produces the equivalent Modulation Transfer Function (MTF), measures three attributes, and produces a fitness score. These attributes are the minimum contrast, the variance in contrast across spatial frequencies, and the mean contrast. The objective of the disclosed approach is to determine the fluttering pattern that maximizes the fitness score.

A method and a system for localizing at least one circular object in a video frame captured by an image capture unit are disclosed. The method includes the steps of: A. performing edge detection to obtain a plurality of image edge points in the video frame; B. extracting a contour set of image contours by linking neighboring edge points; C. generating a plurality of circle samples from the extracted contour set by a structural sampling process; and D. localizing the at least one circular object from the generated circle samples by calculating a respective fitness score for each of the circle samples to measure the supporting evidence of the image edge points on a neighborhood of each of the circle samples, and by choosing the circle sample(s) whose fitness score(s) is / are greater than a threshold value as the circular object(s) found in the video frame.

A system and method for analysis of complex systems which includes determining model parameters based on time series data, further including profiling a plurality of types of data properties to discover complex data properties and dependencies; classifying the data dependencies into predetermined categories for analysis; and generating a plurality of models based on the discovered properties and dependencies. The system and method may analyze, using a processor, the generated models based on a fitness score determined for each model to generate a status report for each model; integrate the status reports for each model to determine an anomaly score for the generated models; and generate an alarm when the anomaly score exceeds a predefined threshold.

A system, method and computer program for developing artificial intelligence through the generational evolution of one or more genomes. Each genome includes a set of functions. The method includes creating one or more cortices, operating the one or more cortices to perform one or more specified tasks, calculating a fitness score for each cortex based on its ability to perform the specified tasks, and selecting one or more of the cortices based on the respective fitness scores. Each cortex includes a plurality of cortical units. Each cortical unit includes a set of functions. Each cortical unit is created from the one or more genomes.

A program for platform games using AI and make a computer to act including steps of: deciding a solution for platform game includes: initializing solutions (S101), selecting an initial solution and a new solution (S102), a first comparison of fitness score (S103); generating a current solution (S104); repeating generating another new solution and comparing fitness scores (S105); and replacing a state (S106).

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

A genetic algorithm architecture implements a two-stage completion genetic algorithm with respect to an evolving current population data set. The two-stage completion genetic algorithm that includes genotype and phenotype completion loops. The genotype completion loop operates to compete the current population data set based on genotype field fitness scores. The genotype completion loop also implements a phenogenesis operator used to generate a current phenotype set. The phenotype completion loop operates, concurrently with the genotype completion loop, to evaluate the current phenotype set, constrained relative to the current population data set, against a fitness function to produce phenotype fitness scores. The phenotype completion loop implements a genotype reduction operator that then determines corresponding genotype fitness scores for use as the basis for competition in the genotype completion loop.

A system, method and computer program for developing artificial intelligence through the generational evolution of one or more genomes. Each genome includes a set of functions. The method includes creating one or more cortices, operating the one or more cortices to perform one or more specified tasks, calculating a fitness score for each cortex based on its ability to perform the specified tasks, and selecting one or more of the cortices based on the respective fitness scores. Each cortex includes a plurality of cortical units. Each cortical unit includes a set of functions. Each cortical unit is created from the one or more genomes.

A system for determining fitness level includes an electronic interface operable to receive an event performance measurement for each of a plurality of athletic events, a processor communicatively coupled to the electronic interface and operable to associate one or more fitness categories with each of the plurality of athletic events, determine an event performance score for each received event performance measurement, calculate a fitness category score for each of the plurality of fitness categories, wherein each fitness category score is based on one or more of the event performance scores, and calculate a total fitness score based on the calculated fitness category scores, and the electronic interface further operable to communicate the calculated total fitness score over an electronic communication network.

A system and method for stent recommendation are disclosed herein. The stent recommendation system includes a processor and a database. The processor acquires an image of the body part of a subject where a stent is to be implanted, simulates a stent implantation target location for each of a plurality of types of stents based on the image, and computes a fitness score for each of the plurality of types of stents based on preset evaluation criteria. The processor displays at least one of the plurality of types of stents on a display screen as recommended stents based on the fitness score computed for each of the plurality of types of stents. The database stores the result data of the simulation performed for each of the plurality of types of stents.

A method of software version management for ensuring stability of published code. The method comprises receiving source code for an application; automatically inserting, into the source code or in a testing environment that will execute the source code, additional code to register an attempt by the source code to access an external resource; executing the source code in the testing environment; during execution of the source code, automatically tracking numbers of attempts made to access each external resource of a plurality of external resources; receiving configuration data associating each external resource with a fitness score; based at least in part on each number of attempts to access an external resource and on the fitness score associated with the external resource, determining a total application fitness score; and automatically publishing the source code to a production environment if and only if the total application fitness score exceeds a predetermined threshold.

Accessing images associated with users for generating composite images and / or making product recommendations based at least partly on the images to enhance online shopping experiences is described. A service provider can access images associated with a user and identify a product of interest to the user. The service provider can determine a fitness score for an image of the images, the fitness score indicating an appropriateness of the image for presenting the product of interest via a device associated with the user, and select the image as a representative image based at least in part on the fitness score. The service provider can generate, from the representative image, a composite image that visually depicts a graphical representation of the product of interest and cause the composite image to be presented to the user via the device.

The invention provides a catalytic condition optimization method and system for synthesizing acrylic acid. The method comprises the steps of obtaining first feature information according to basic information of a first catalyst; obtaining first phenotype information according to the catalysis result of the first catalyst, wherein the first phenotype information and the first feature information have a first mapping relation; encoding the first feature information to obtain a first encoding result; constructing a first fitness scoring model, and inputting the first coding result into the first fitness scoring model to obtain a first scoring result; and constructing a first selection model, inputting the first scoring result into the first selection model to obtain a first selection result, and if a first preset feature threshold value is met, preparing a first catalyst according to the first feature information corresponding to the first selection result. The technical problems that when acrylic acid is produced, selection of a catalyst needs to be verified through a large number of experiments, and then the selection efficiency is too low, and the stability is not high in the prior art are solved.

A computer-implemented method, system, and computer program product are provided for anomaly detection. The method includes receiving, by a processor, sensor data from a plurality of sensors in a system. The method also includes generating, by the processor, a relationship model based on the sensor data. The method additionally includes updating, by the processor, the relationship model with new sensor data. The method further includes identifying, by the processor, an anomaly based on a fused single-variant time series fitness score in the relationship model. The method also includes controlling an operation of a processor-based machine to change a state of the processor-based machine, responsive to the anomaly.

This invention relates to fitness monitors and the like. This invention is more particularly directed to a device and a method for facilitating quantitative evaluation of level of physical fitness (fitness score) including a PC or handheld, or watch type electronic device having input and output means based on formulas for calculating level of physical fitness through heart rate variability analysis during orthostatic intervention by assessing two main parameters, such as level of adaptation reserve and wellness level.

A method for tracking three-dimensional movement of an object and focusing thereon is provided. Software repeatedly detects three-dimensional locations of one or more objects and image quality by sampling images at many parameter settings as the objects move in three-dimensional environment. The images are ranked occurring to a fitness score and parameter settings for subsequent images to established using a biologically-inspired algorithm.