Abstract: A method of target feature extraction and multi-target tracking based on 4D millimeter wave radar includes acquiring the point cloud data output from the radar and preprocess the point cloud data to eliminate the outlier value; processing the points acquired after preprocessing by Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering; processing each of the acquired clusters for target feature extraction; predicting the existing trajectory is predicted, and the prediction results are globally correlated with the clustering results; based on the correlation clustering results, the corresponding multi-target tracking motion state processing is executed to obtain the transverse pendulum angular velocity; and based on the target motion state, the target size information as well as the heading angle information are updated.

Abstract: A property vector representing extractable measurable properties, such as musical properties, of a file is mapped to semantic properties for the file. This is achieved by using artificial neural networks “ANNs” in which weights and biases are trained to align a distance dissimilarity measure in property space for pairwise comparative files back towards a corresponding semantic distance dissimilarity measure in semantic space for those same files. The result is that, once optimised, the ANNs can process any file, parsed with those properties, to identify other files sharing common traits reflective of emotional-perception, thereby rendering a more liable and true-to-life result of similarity/dissimilarity. This contrasts with simply training a neural network to consider extractable measurable properties that, in isolation, do not provide a reliable contextual relationship into the real-world.

Abstract: A method of sparse array oriented approach for DOA estimation of grating lobe target filtering includes sub-array division processing of received echoes in multiple channels; digital beamforming is performed on each sub-array obtained after division to realize DOA estimation; the echo power of the beam pointing at each angle is calculated and the peak point is detected; peak threshold discrimination processing is performed based on the determined peak threshold; if the current sub-array satisfies the identified peak threshold, the corresponding power spectrum extreme is calculated to obtain the final DOA estimation. The present invention also relates to a corresponding device, processor and computer-readable storage medium thereof.

Abstract: The invention provides for the evaluation of semantic closeness of a source data file relative to candidate data files. The system includes an artificial neural network and processing intelligence that derives a property vector from extractable measurable properties of a data file. The property vector is mapped to related semantic properties for that same data file and such that, during ANN training, pairwise similarity/dissimilarity in property is mapped, during towards corresponding pairwise semantic similarity/dissimilarity in semantic space to preserve semantic relationships. Based on comparisons between generated property vectors in continuous multi-dimensional property space, the system and method assess, rank, and then recommend and/or filter semantically close or semantically disparate candidate files from a query from a user that includes the data file.

Abstract: Systems and methods of detecting an exploit of a vulnerability of a computing device, including receiving an execution flow of at least one process running in a processor of the computing device, wherein the execution flow is received from a performance monitoring unit (PMU) of the processor, receiving memory pages from a memory of the computing device, reconstructing the execution flow of the process on another processor based on PMU data and the memory pages, running at least one exploit detection algorithm on the reconstructed process in order to identify an exploit attempt and issuing an alert.

Abstract: The invention provides for the evaluation of semantic closeness of a source data file relative to candidate data files. The system includes an artificial neural network and processing intelligence that derives a property vector from extractable measurable properties of a data file. The property vector is mapped to related semantic properties for that same data file and such that, during ANN training, pairwise similarity/dissimilarity in property is mapped, during towards corresponding pairwise semantic similarity/dissimilarity in semantic space to preserve semantic relationships. Based on comparisons between generated property vectors in continuous multi-dimensional property space, the system and method assess, rank, and then recommend and/or filter semantically close or semantically disparate candidate files from a query from a user that includes the data file.

Abstract: A property vector representing extractable measurable properties, such as musical properties, of a file is mapped to semantic properties for the file. This is achieved by using artificial neural networks “ANNs” in which weights and biases are trained to align a distance dissimilarity measure in property space for pairwise comparative files back towards a corresponding semantic distance dissimilarity measure in semantic space for those same files. The result is that, once optimised, the ANNs can process any file, parsed with those properties, to identify other files sharing common traits reflective of emotional-perception, thereby rendering a more liable and true-to-life result of similarity/dissimilarity. This contrasts with simply training a neural network to consider extractable measurable properties that, in isolation, do not provide a reliable contextual relationship into the real-world.

Abstract: Systems and methods for monitoring and controlling dynamic multi-phase flow phenomena, capable of sensing, detecting, quantifying, and inferring characteristics, properties, and compositions (including static and dynamic characteristics, properties and compositions). The systems combine machine vision and mathematical models, which enables direct observation and detection of static and dynamic multi-phase fluid flow properties and phenomena (e.g. voids, waves, shadows, dimples, wrinkles, foam, bubbles, particulates, discrete materials, collections of materials, and position) and inferring other properties and phenomena (e.g. flow regimes, bubble velocities and accelerations, material deposition rates, erosion rates, phasic critical behavioral points as related to heat transfer, and the volumetric and mass flow rates of the phases) that are used to monitor and control systems applied to a multi-phase fluid flow system.

Abstract: A machine failure analyzing system includes a wearable electronic device is for a user to wear, a controlling and processing device provided with a machine history database and a failure causes analyzing unit. When a specific machine is malfunctioning or in a failure status, the controlling and processing device utilizes a machine status data collecting unit to collect machine status data from the specific machine. Subsequently, based on the machine status data, the failure causes analyzing unit is configured to find relative failure causes from the machine history database, thereby generating at least one troubleshooting solution. As such, under instructions of the troubleshooting solution, a field engineer who wears the wearable electronic device can achieve troubleshooting of the specific machine rapidly and precisely, without needing to spend time finding the failure causes.

Abstract: Anonymizing systems and methods comprising a native configurations database including a set of configurations, a key management database including a plurality of private keys, a processor in communication with the native configurations database and the key management database, and a memory coupled to the processor. The set of configurations includes one or more ranges, wherein each range includes a contiguous sequence comprised of IP addresses, port numbers, or IP addresses and port numbers. The processor is configured to retrieve the set of configurations from the native configurations database, wherein the set of configurations includes a plurality of objects; retrieve a private key from the key management database; assign a unique cryptographically secure identity to each object; and anonymize the plurality of objects based on the cryptographically secure identities and the private key.

Abstract: Systems and methods of detecting an exploit of a vulnerability of a computing device, including receiving an execution flow of at least one process running in a processor of the computing device, wherein the execution flow is received from a performance monitoring unit (PMU) of the processor, receiving memory pages from a memory of the computing device, reconstructing the execution flow of the process on another processor based on PMU data and the memory pages, running at least one exploit detection algorithm on the reconstructed process in order to identify an exploit attempt and issuing an alert.

Abstract: A miniaturized spectrometer capable of being held and carried in a person's hand and including all of the necessary elements for reliable quantification and characterization for laboratory purposes, of a variety of objects, including an analyte in solution, and that is also optionally adaptable for analysis of an analyte in gaseous phase, and/or on or imbedded in a solid surface.

Abstract: A method for identifying a need of a user based on an image word interpretation, the method comprising: assigning prime keywords and style keywords to a plurality of images, wherein the images having the prime and style keywords assigned thereto are stored by at least one image category of the images; receiving a target keyword from the user depending on a need of a user; displaying images within the at least one image category, and receiving a preferred image by the at least one category from the user; extracting a target image that matches the target keyword based on the received preferred image; and displaying the extracted target image in accordance with at least one way.

Abstract: Provided are systems and methods for the post-treatment of dry adhesive microstructures. The microstructures may be post-treated to comprise mushroom-like flaps at their tips to interface with the contact surface. In some aspects, a change in material composition of the microstructures in a dry adhesive may affect mechanical properties to enhance or diminish overall adhesive performance. For example, conductive additives can be added to the material to improve adhesive performance. In other aspects, microstructures comprising conductive material may allow for pre-load engagement sensing systems to be integrated into the microstructures.

Abstract: A method and apparatus for haptic hard surface emulation using a dynamic physical constraint are provided. The movement and position of the dynamic physical constraint is actively controlled in order to emulate a hard surface. The dynamic physical constraint may be controlled by a computer. In another aspect of the invention, the dynamic physical constraint limits the motion of a manipulator joint in space. The position at any time of the dynamic physical constraint is dependent on the position in space of the manipulator's end effector.

Abstract: A computerized bone motion tracking system according to one exemplary embodiment is configured to: provide a non-invasive means for accurate measurement and tracking of the motion of a bone using a volumetric ultrasound transducer and a three dimensional position measurement system; provide relative measurements of one bone relative to another bone of a joint; decompose relative joint motion into specific components; and measure joint instability and range of motion.

Abstract: A computer system obtains an image or video of a person, such as a shopper. The image or video includes the face of the person. The system extracts low level features from the image or video. The low level features may be Gabor features. The system examines the low level features to designate stimuli that are likely to result in preferred behaviors associated with the person. The system analyzes the plurality of designated stimuli based on predetermined criteria to select one or more selected stimuli, and then causes the selected stimuli to be rendered to the person. The predetermined criteria may be economic criteria, such as a requirement to select the stimulus with the highest expected economic benefit from among the various designated stimuli.

Abstract: The present application provides an apparatus and method for determining a position of a joint prosthesis using a computer assisted orthopedic surgery system in support of an arthroplasty surgery. The apparatus and method includes attaching a first locatable element to a first bone on one side of a joint, providing a sensor having a second locatable element and moving the sensor in proximity of the joint to locate a plurality of positions of the sensor relative to the first locatable element using a tracking device. The apparatus and method further includes selecting a generic model of a joint, determining the generic model in response to the plurality of positions located using the tracking device to generate a deformed model determining a position for a joint prosthesis on the deformed model, and outputting on a display the determined position upon the deformed model.

Abstract: Techniques for the design and use of a perception modeling language for communicating according to the perspective of at least two communicators. The disclosed method and system provide for forming a model including a predetermined number of states and a plurality of related transitions. The disclosed subject matter represents each of said predetermined number of states according to a plurality of perspectives, said perspectives including a plurality of states and a set of related transitions, and forms a perspective language by deriving a plurality of functions associating said plurality of perspectives for representing at least one actually observable system. Furthermore, the perspective modeling language derives a set of modeling perspectives for modeling said at least one actually observable system.

Abstract: A method for displaying digest of RSS by window according to a preferred embodiment includes: obtaining digest information of RSS feed; and scrolling the digest information of RSS feed on a displaying region of a display device. In a preferred embodiment, the method for displaying digest of RSS by window further includes step of pausing scrolling of the digest information of RSS feed when a cursor enters the displaying region, and resuming scrolling of the digest information of RSS feed when the cursor leaves the displaying region.