31151 results about "Analysis method" patented technology

Methods and systems for estimating a pose of a subject. The subject can be a human, an animal, a robot, or the like. A camera receives depth information associated with a subject, a pose estimation module to determine a pose or action of the subject from images, and an interaction module to output a response to the perceived pose or action. The pose estimation module separates portions of the image containing the subject into classified and unclassified portions. The portions can be segmented using k-means clustering. The classified portions can be known objects, such as a head and a torso, that are tracked across the images. The unclassified portions are swept across an x and y axis to identify local minimums and local maximums. The critical points are derived from the local minimums and local maximums. Potential joint sections are identified by connecting various critical points, and the joint sections having sufficient probability of corresponding to an object on the subject are selected.

The present invention provides a novel method and a system of modules for carrying out thermal analysis of cast iron melts. The characterizing step of the method is de-termination of the position of the thermocouples used for recording cooling curves. The system comprises a thermocouple unit, a thermocouple holder, and a sampling unit. The system comprises means for ensuring that the thermocouples are correctly positioned before starting the thermal analysis. The system also comprises means for automatically transferring calibration data regarding the thermocouples.

A peer-to-peer (P2P) probing / network quality of service (QoS) analysis system utilizes a UDP-based probing tool for determining latency, bandwidth, and packet loss ratio between peers in a network. The probing tool enables network QoS probing between peers that connect through a network address translator. The list of peers to probe is provided by a connection server based on prior probe results and an estimate of the network condition. The list includes those peers which are predicted to have the best QoS with the requesting peer. Once the list is obtained, the requesting peer probes the actual QoS to each peer on the list, and returns these results to the connection server. P2P probing in parallel using a modified packet-pair scheme is utilized. If anomalous results are obtained, a hop-by-hop probing scheme is utilized to determine the QoS of each link. In such a scheme, differential destination measurement is utilized.

Financial data including general ledger activity and underlying journal entries are examined to determine whether risks of material misstatement due to fraudulent financial reporting can be identified. The financial data is analyzed statistically and modeled over time, comparing actual data values with predicted data values to identify anomalies in the financial data. The anomalous financial data is then analyzed using clustering algorithms to identify common characteristics of the various transactions underlying the anomalies. The common characteristics are then compared with characteristics derived from data known to derive from fraudulent activity, and the common characteristics are reported, along with a weight or probability that the anomaly associated with the common characteristic is an identification of risks of material misstatement due to fraud. Large volumes of financial data are therefore efficiently processed to accurately identify risks of material misstatement due to fraud in connection with financial audits, or for actual detection of fraud in connection with forensic and investigative accounting activities. The analysis is enhanced by using flow analysis methods to select subsets of financial data to examine for anomalies. Flow analysis methods are also used to reveal useful business information found in money flow graphs of financial data.

A method of analyzing the electrocardiogram ("ECG") using a set of vectors mathematically derived from the heart vector. The entire ECG waveform of one representative heartbeat is analyzed as a time series of vectors taken at selected time intervals. The vector set consists of the heart vector, the vector of deviation, vector of abnormality, delta vector, the delta vector deviation, and the delta vector abnormality. The analysis system can be applied to two or any greater number of ECG leads represented on planar axes, orthogonal spatial axes, or four or more axes in multidimensional space. The normal range of the ECG in this method is delineated by an adaptive multi-dimensional polyhedron in space to which the unknown ECG is compared. This is accomplished by utilizing a computer platform and the software program to support the required mathematical calculations.

The determination of legal or contractual risks in datacenter migration is performed by: storing business application information which is information about management of applications and data, applicable law information at a datacenter and contract information about a contract with a datacenter; extracting first migration information, which is information regarding datacenter migration, from business application information associated with a particular application and particular data which are migration targets; extracting second migration information, which is information regarding the datacenter migration, from applicable law information associated with a migration destination datacenter; extracting third migration information, which is information regarding the datacenter migration, from contract information associated with the migration destination datacenter; and comparing the first and second migration information with the third migration information.