156 results about "Iterative analysis" patented technology

A system for the collection, management, and dissemination of information relating at least to a medical procedure is disclosed. The system includes a user interface adapted to provide raw data information at least about one of a patient, the medical procedure, and a result of the medical procedure. A medical device communicates with the user interface, receives the raw data information from the user interface, and generates operational information during use. A central database communicates at least with the medical device and receives data from the medical device. The central database is used to create related entries based on the raw data information and the operational information and optionally transmits the related entry to the medical device or the medical device user. The related entry includes information that provides guidance based on previously tabulated, related medical procedures. A system for the iterative analysis of medical standards is also disclosed along with methods for the evaluation of medical procedures and standards.

Systems, methods, apparatus, and computer-readable media provide for allocating vehicle resources to future vehicle requirements. In some embodiments, allocating a vehicle resource to a vehicle requirement may be based on an iterative analysis of candidate vehicle resources using one or more of: a suitability of a candidate vehicle resource to fulfil the vehicle requirement, a journey time from a vehicle location to a start location, and/or a start time for the vehicle requirement.

A pool of messages, e.g., e-mails and/or other electronic documents that each correspond to a communication from a sender to a recipient, is analyzed to identify communication chains between a source and a target. Sender and recipient identifiers extracted from the messages are used to detect communication links between pairs of entities. Indirect chains of any desired length can be found by iteratively tracing a communication path one step forward from the source, then one step backward from the target, and so on; at each new step, entities at end points of the forward paths and backward paths are compared to detect any entities that complete a communication chain from source to target. Information related to the identified communication chains can be presented to a user via an interactive report that supports iterative analysis of the communication-chain data.

Systems and methods for automating data science machine learning using analytical workflows are disclosed that provide for user interaction and iterative analysis including automated suggestions based on at least one analysis of a dataset.

A system and method for analyzing a signal to monitor the dynamics of its magnitude and frequency characteristics over time. An electronic circuit for identifying feedback in an audio signal, formed in accordance with embodiments of the invention may comprise a feedback control block operable to determine a candidate frequency having potential feedback such that the feedback control block is further operable to perform an iterative analysis of the magnitude of the audio signal at the candidate frequency to determine the growth characteristics of the signal. The electronic circuit may further include a test filter block operable to deploy a test filter at a candidate frequency and a permanent filter block operable to deploy a permanent filter at the candidate frequency if the feedback control block determines that the growth characteristics of the signal at the candidate frequency comprises feedback characteristics after the test filter has been deployed.

A pain measurement and diagnostic system (PMD) for bioanalytical analysis of pain matrix activity and the autonomic nervous system to diagnose and validate patient treatments, health status and outcomes. The PMD is implemented using medical devices for measuring and reporting objective measurements of pain through patient monitoring and analyzing related biological, psychological, social, environmental, and demographic factors that may contribute to and effect physiological outcomes for patients and through the integrated and iterative analysis improve diagnosis of pain, the evaluation of related disease states, health status, and treatment options.

The invention described herein is generally directed to methods for analyzing an image. In particular, crowded field images may be analyzed for unidentified, unobserved objects based on an iterative analysis of modified images including artificial objects or removed real objects. The results can provide an estimate of the completeness of analysis of the image, an estimate of the number of objects that are unobserved in the image, and an assessment of the quality of other similar images.

A system and method for identifying compounds through iterative analysis of measure of association is disclosed. A limit on a number of tokens per compound is specified. Compounds within a text corpus are iteratively evaluated. A number of occurrences of one or more n-grams within the text corpus is determined. Each n-gram includes up to a maximum number of tokens, which are each provided in a vocabulary for the text corpus. At least one n-gram including a number of tokens equal to the limit based on the number of occurrences is identified. A measure of association between the tokens in the identified n-gram is determined. Each identified n-gram with a sufficient measure of association is added to the vocabulary as a compound token and the limit is adjusted.

A method and system for generating a workflow graph from empirical data of a process are described. A processing system obtains data corresponding to multiple instances of a process, the process including a set of tasks, the data including information about order of occurrences of the tasks. The processing system analyzes the occurrences of the tasks to identify order constraints. The processing system partitions nodes representing tasks into subsets based upon the order constraints, wherein the subsets are sequence ordered with respect to each other such that all nodes associated with a given subset either precede or follow all nodes associated with another subset. The processing system partitions nodes representing tasks into subgroups, wherein each subgroup includes one or more nodes that occur without order constraints relative to nodes associated with other subgroups. A workflow graph representative of the process is constructed wherein nodes are connected by edges.

Embodiments of the present invention provide systems, devices and methods for improving the efficient deployment and configuration of networking equipment within a network build-out. In certain embodiments of the invention, an iterative analysis of inter-node equipment placement and connectivity, and inter- and intra-node traffic flow is performed to identify a preferred deployment solution. This analysis of deployment optimization takes into account both configurations from a network node perspective as well as from a network system perspective. Deployment solutions are iteratively progressed and analyzed to determine a preferred solution based on both the cost of deployment and satisfaction of the network demands. In various embodiments of the invention, a baseline marker is generated from which the accuracy of the solution may be approximated that suggests to an engineer whether the deployment is approaching an optimal solution.

A relational database system analyzes each potential join in a query, to determine whether a relation involved in the join is subject to a selection criterion, and evaluate whether that selection criterion or the join per se effects a join reduction. The computational expense of generating a look-ahead predicate comprising the tuples of the second relation matching any applicable selection criterion, is compared to the computational savings that result from the join reduction. The most beneficial look-ahead predicate among all potential joins of relations in the query is identified through iterative analysis of all possible joins. Thereafter, membership in the look-ahead predicate is added as a selection criterion on the first relation, and further iterative analysis is performed of all possible joins of the remaining relations and the look-ahead predicate, to iteratively identify additional joins in the query that benefit from the formation of the look-ahead predicate, and potentially form further look-ahead predicates.

The invention relates to a large structure dynamic optimization design method based on structural decomposition. In three-dimensional modeling software, a geometric model of a large member is established, a size variable of an external frame forming a structural member is recognized, and a basic style and the size variable of an internal composition unit are recognized; the external frame of the structural member is subjected to topological optimization, the size of the internal composition unit is optimized, and size data are acquired; the optimized size data are imported into Isight-FD software, optimization iterative analysis is performed on different combinations and different size configurations of the external frame and the internal composition unit according to the constraint condition and the target function, and an optimization result is output. The method is widely applied to lightweight and weight reduction design of a large and heavy-load complicated structure part and has the advantages of capability of realizing design from the simple into the deep as well as fastness and reliability. Due to the robustness of an algorithm, the geometric structure meeting the requirements of mechanical properties can be found only through a few sampling points, and reliable technical support is provided for structure design work of large heavy-load equipment at the present stage.

The present invention enables testing the effect of one or more test agent(s) on one or more animal(s) of a group of animals, preferably insects, to identify agents that affect behavioral properties of the animals. The invention is comprised of the steps of providing animals suitable for testing, bringing those animals into contact with the test agent(s), moving the animals from a growth container to isolate them, prepare and separate the animals for singulation, relocated the animals to a behavior arena, subject the animals to behavioral tracking to assess their behavioral state, and removing the animals from the behavioral tracking to facilitate iterative analysis of further groups. The invention enables a method for preparing a therapeutic compound for the treatment of an animal disease.

Computer implemented methods and systems for detecting arrhythmias in cardiac activity are provided. The method is under control of one or more processors configured with specific executable instructions. The method obtains a far field cardiac activity (CA) data set that includes far field CA signals for beats. The method applies a feature enhancement function to the CA signals to form an enhanced feature in the CA data set. The method calculates an adaptive sensitivity level and sensitivity limit based on the enhanced feature from one or more beats within the CA data set and automatically iteratively analyzes a beat segment of interest by comparing the beat segment of interest to the current sensitivity level to determine whether one or more R-waves are present within the beat segment of interest. The method repeats the iterative analyzing operation while progressively adjusting the current sensitivity level until i) the one or more R-waves are detected in the beat segment of interest and/or ii) the current sensitivity level reaches the sensitivity limit. The method detects an arrhythmia within the beat segment of interest based on a presence or absence of the one or more R-waves and records results of the detecting of the arrhythmia.

A method is disclosed for the iterative analytical reconstruction of a tomographic representation of an object from projection data of a moving radiation source through this object onto a detector. In an embodiment of the method, corrections are undertaken iteratively with the aid of back projections of the object to be represented from calculated projection data, wherein the corrections are performed on the projections.

The invention discloses a learning-based video coding and decoding framework, which comprises a space-time domain reconstruction memory, a space-time domain prediction network, an iterative analyzer,an iterative synthesizer, a binarization device, an entropy coder and an entropy decoder, wherein the space-time domain reconstruction memory is used for storing a reconstructed video content after coding and decoding; the space-time domain prediction network is used for utilizing the space-time domain correlation of the reconstructed video content, modeling the reconstructed video content througha convolutional neural network and a circulating neural network, and outputting a predicted value of a current coding block, wherein a residual error is formed by subtraction of the predicted value and an original value; the iterative analyzer and the iterative synthesizer are used for coding and decoding the input residual error step by step; the binarization device is used for quantizing the output of the iterative analyzer into a binary representation; the entropy coder is used for carrying out entropy coding on the quantized coding output in order to obtain an output code stream; and theentropy decoder is used for carrying out entropy decoding on the output code stream and outputting the output code stream to the iterative synthesizer. According to the coding framework, the prediction of a space-time domain is realized through the learning-based VoxelCNN (namely space-time domain prediction network), and the control of video coding rate distortion optimization is realized througha residual iterative coding method.

The invention provides an agile satellite mission interpretation closed loop simulation verification system and method. Efficiency of key links of simulation verification and inversion modification of current agile satellite mission planning can be effectively enhanced, and correct implementation of agile satellite mission planning can be guaranteed. With application of the agile satellite mission interpretation closed loop simulation verification system and method, firstly a satellite mission host mission interpretation function is simulated, a conventional satellite mission test bed is replaced, mission blocks are interpreted into instruction sets which can be performed by a satellite mission host and information of instruction names, parameters and performing time can be visually displayed in a form mode, and mission block interpretation results are automatically interpreted and abnormal information is outputted so that noting of error mission blocks on satellites can be avoided; secondly, the parameters in the mission blocks and mission block settings can be modified and the mission blocks can be generated again by the system, and iterative analysis is performed on the mission blocks so that correctness can be guaranteed, the risk caused by manual arrangement of the mission blocks can be avoided, and mission block generation efficiency and reliability can be enhanced; and finally the interpretation results of the finally generated correct mission blocks are compared with action sequences generated by a mission planning system so that correctness and rationality of mission planning can be verified.

The invention relates to the technical field of fee collection risk assessment, and provides an electricity fee collection risk assessment device based on a big data platform clustering algorithm and a method thereof. The device comprises an electricity consuming unit feature data import module, a clustering data mining module and an electricity consuming unit credit evaluation system output module. The electricity consuming unit feature data import module extracts a social attribute indicator, a value attribute indicator, a behavior attribute indicator and other mass data of an electricity consuming unit and stores the mass data in a big data platform. The clustering data mining module performs parallel iterative analysis processing one the data and preliminarily judges the credit rating to which the electricity consuming unit belongs. The electricity consuming unit credit evaluation system output module confirms and outputs the credit rating of the electricity consuming unit according to data division of the clustering data mining module. The risk that the electricity consuming unit does not pay electricity fee on time can be effectively avoided so that the risk that funds of electric power enterprises cannot be withdrawn on time can be effectively reduced further.

The invention discloses a data consanguinity analysis method and device, electronic equipment and a storage medium, and the data consanguinity analysis method comprises the steps: obtaining a to-be-processed SQL statement, and converting the SQL statement into an abstract syntax tree; obtaining an analysis rule and an analysis strategy of the abstract syntax tree, wherein various types of data corresponding to the SQL statement respectively correspond to an analysis rule, and the analysis rule comprises different analysis strategies for nodes of different hierarchies of the abstract syntax tree; based on the analysis rule and the analysis strategy of the abstract syntax tree, traversing nodes of multiple levels of the abstract syntax tree; converting the abstract syntax tree into a logic execution plan by using nodes of multiple levels; and performing iterative analysis on the logic execution plan to obtain a blood relationship between data corresponding to the SQL statements. By means of the mode, the blood relationship between the data in the data processing process can be obtained, and the data screening cost is reduced.