Abstract: Disclosed herein are embodiments of systems, methods, and products comprise a computing device, which allows in-network and network-border protection for Internet of things (IoT) devices by securely partitioning network space and defining service-based access to IoT devices. The disclosed segmented attack prevention system for IoT networks (SAPSIN) segments the IoT network into two virtual networks: a service network and a control network; and define access control rules for each virtual network. In the service network, SAPSIN utilizes a service-based approach to control device access, allowing only configured protocol, applications, network ports, or address groups to enter or exit the network. In control network, the SAPSIN provides the access control rules by defining a threshold for the number of configuration requests within a predetermined time. As a result, SAPSIN protects IoT devices against intrusion and misuse, without the need for device-specific software or device-specific security hardening.

Abstract: A method of spectrum restoring and broadening to produce high resolution seismic data from a plurality of shot records in a seismic survey is described. The method includes the steps of: dividing each shot record into a plurality of windows, in which each of the relevant variables is practically constant, and wherein each window contains one or more trace segments; forward modelling of spectral signatures for any ghost reflections in the shot records using a best estimate of all known parameters, such that every trace segment will have an observed and a (prior) modelled spectral signature; calculating an inverse operator to correct the spectral notches in every trace segment using a constrained set of final fitted values for all the relevant variables; and, recombining the processed trace segments to produce a final set of shot records whereby, in use, the deleterious effects of the ghost reflections in the shot records can be substantially eliminated.

Abstract: When a public switched telephone network (PSTN) subscriber (28) is occupying their telephone link to connect a personal computer to a computer network, the method provides automatic redirection of an incoming call to said telephone link to a subscriber proxy (38) connected to the PSTN (30) for producing audio interaction with the caller. The subscriber proxy is also connected to said computer network and is capable of sending and receiving messages over said computer network to the subscriber's computer thereby providing the subscriber with a capability to receive notification on said computer of the PSTN call attempt. Optionally, the subscriber has a further capability to interact with said computer to operate the proxy to control and interact with the incoming voice telephone call while the subscriber continues to occupy their telephone link connecting their computer to the computer network.

Abstract: A base pair of minutia is selected in the latent fingerprint under consideration and each tenprint or reference fingerprint. For each selected base pair, those sets of minutia pairs are selected which satisfy apriori constraints including angle, distance and ridge counts, to generate a first set of minutia which support the fingerprint correspondence. A second set of the supporting minutia pairs is generated from the first set, which doesn't contain pairs which are inconsistent with the base pair/bias angle. A third set is established using "dynamic programming" to determine the largest topologically self-consistent subset of the second set. The minutia pairings are counted in the third set, to thereby establish a merit of the base pair. For each of the minutia of the latent fingerprint, a correspondence group is generated, of a predetermined number of minutia of the tenprint which have the greatest merit.

Abstract: A cardiac segmentation system acquires a series of images acquires as slices through a volume, and as images at different time periods throughout a cardiac cycle. It displays an image to an operator which interactively selects a region of interest (ROI) of the image to be segmented, such as the left ventricle. A seed point is also selected within the ROI and the structure desired to be segmented. The image is then thresholded by a masking device classifying points within the ROI as above the threshold, or not above the threshold. A 3D connectivity device identifies points within the ROI having the same classification as an expanded seed point which are also contiguous with the seed point as the segmented structure. The segmented structure is expanded and a histogram is constructed. A new threshold is selected which separates modes of the histogram, and used to carry out a revised, final, segmentation of the current image. The centroid of the current image is used as a seed point in segmenting adjacent images.

Abstract: The present invention determines the epicardial boundary, being a closed curve dividing the myocardium from the tissue and blood surrounding the left ventricle. A mean and standard deviation is determined for pixels of a medical image of the subject's myocardial tissue. These are used to define a "goodness function" over the image which is positive for pixels statistically likely to be myocardial tissue, and negative for other pixels. An initial curve for modeling the epicardium in radial coordinates starts with a curve of inner myocardial boundary obtained my conventional imaging techniques. This curve is then iteratively updated to maximize the total "goodness function" of the region encompassed.