A method is provided for identifying an isthmus in a three-dimensional map of a cardiac cavity by means of a processing unit configured to perform the following steps: a) correlation between a set of stimulated points of the cardiac cavity, each stimulated point being represented by a set of signals that are obtained following surface electrocardiography (ECG), excluding ventricular tachycardia; b) identification of a watershed line on the basis of the above correlation results and of the 3D coordinates of the stimulated points in the 3D map; and c) determination of the isthmus based on a 3D corridor substantially transverse to the watershed line.

Techniques are disclosed for the use of Crest Factor Reduction (CFR) algorithm that performs oversampling of an input signal and a cancellation pulse, and detects a set of peak samples in the upsampled input signal that exceed a predetermined threshold value. The peak samples are clustered such that a subset of the oversampled signal peaks are used to compute gain factors for the generation of a scaled truncated upsampled cancellation pulse. Several scaled truncated upsampled cancellation pulses are applied in parallel to perform peak cancellation of the highest peak in each cluster as part of an initial peak cancellation process. Any remaining peaks are canceled by iterative gain factors computation process. A final cancellation pulse is then generated by multiplying a cancellation pulse by the computed gain factors.

The invention relates to a method for a computer device, for detecting an optimal candidate compound based on a plurality of samples comprising a cell line and one or more biomarkers, and a plate map configuration, wherein the plate map configuration is providing locations of samples comprising cell lines exposed to one or more biomarkers and different concentrations of a candidate compound forming at least one concentration gradient, the candidate compound being comprised in a plurality of candidate compounds, said method comprising generating (310) phenotypic profiles of each concentration gradient of each of the plurality of candidate compounds at a plurality of successive points in time to form a plurality of compound profiles, wherein generating phenotypic profiles comprises the steps obtaining (312) image data depicting each sample comprised in the concentration gradient, generating (314) a class-label and a class for each cell of the samples based on the image data, detecting (320) the optimal candidate compound by evaluating a comparison criterion on the plurality of compound profiles. Furthermore, the invention also relates to corresponding computer device, a computer program, and a computer program product.

Examples of techniques for determining an interval duration and a training period length for log anomaly detection are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method may include: determining, by a processing resource, an interval duration for a time series from a plurality of message IDs; and determining, by the processing resource, a training period length based on the interval duration.

A method of processing sensor logs is described. The method includes accessing a first sensor log and a corresponding first reference log. Each of the first sensor log and the first reference log includes a series of measured values of a parameter according to a first time series. The method also includes accessing a second sensor log and a corresponding second reference log. Each of the second sensor log and the second reference log includes a series of measured values of a parameter according to a second time series. The method also includes dynamically time warping the first reference log and/or and second reference log by a first transformation between the first time series and a common time-frame and/or a second transformation between the second time series and the common time-frame. The method also includes generating first and second warped sensor logs by applying the or each transformation to the corresponding ones of the first and second sensor logs.

A method, system, and computer program product, include identifying a plurality of pollution process sets and determining pollution sources based on pollution start times of target pollution processes with matched features in the plurality of pollution process sets within a time window.

A system includes a pattern engine that, in response to selection by a user of a first data set, generates a similarity self-join of the first data set for a specified length. The similarity self-join indicates, for each reference subsequence, a minimum value of distances between the reference subsequence and other subsequences within the first data set. A user portal generates a user interface visually representing the first data set and identifying two subsequences that correspond to the lowest value of the similarity self-join. An alert system receives an alert request specifying a second data set and a pattern specification. An incremental pattern engine generates an initial state of a similarity join of the second data set and the pattern specification. In response to data being received for the first data set, the alert system transmits an alert message if any value of the similarity join meets a threshold.

An identification device includes: M transmission antenna elements each of which transmits a first transmission signal to a predetermined area including a first living body; N receivers disposed surrounding the predetermined area, and each including a reception antenna element and receiving, using the reception antenna element, a first reception signal including a reflection signal obtained as a result of the first transmission signal being reflected by the first living body, during a predetermined period; a memory storing teacher signals which are MN second reception signals obtained about a second living body; and a circuit which calculates a plurality of correlation coefficients from the teacher signals and MN first reception signals obtained as a result of each of the N receivers receiving the first reception signal, performs biometric authentication of the first living body, and identifies the first living body and the second living body as identical.

A gait pathology detection and monitoring system, and method using rotation, scale, and offset invariant dynamic time warping (RSOI-DTW).

Disclosed are an electronic apparatus for recognizing a multimedia signal and an operating method of the electronic apparatus, including segmenting a detection signal into a plurality of frames; segmenting each of the frames into a plurality of blocks; and representing each of the blocks as a hash word based on a time feature and a frequency feature for each of the blocks.