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: 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 textual descriptions and 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: 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: A method for use in granting access to a target to a user device, comprising: receiving at a proxy a request to access the target; forwarding by the proxy the access request to a security broker when the user device is verified by the proxy to know a prescribed secret, wherein the request is forwarded so as to appear to originate from a prescribed set of internet protocol (IP) addresses that the security broker recognizes as trusted; receiving by the proxy from the security broker (i) an access token, the access token being submittable to the target by the user device to gain access thereto and (ii) instructions for transmission to the user device for causing the user device to be redirected to an address indicating the requested target; and transmitting by the proxy toward the user device the access token and the instructions.

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: 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 sensing and computing system and method for capturing images and data regarding an object and calculating one or more parameters regarding the object using an internal, integrated CPU/GPU. The system comprises an imaging system, including a depth imaging system, color camera, and light source, that capture images of the object and sends data or signals relating to the images to the CPU/GPU, which performs calculations based on those signals/data according to pre-programmed algorithms to determine the parameters. The CPU/GPU and imaging system are contained within a protective housing. The CPU/GPU transmits information regarding the parameters, rather than raw data/signals, to one or more external devices to perform tasks in an industrial environment related to the object imaged.

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 method for rendering virtual desktops on an air-gapped endpoint is provided. The method includes rendering a first window presenting a first virtual desktop of a first security zone; rendering a second window presenting a second virtual desktop display of a second security zone, wherein the first security zone and the second security zone are of a plurality of security zones instantiated on the air-gapped endpoint; and controlling, by a hypervisor, display of the first window and the second window on a desktop of the air-gapped endpoint, wherein any application in the first security zone cannot access any application in the second security zone when displayed on the same desktop.

Abstract: A method and system for controlling access to external networks by an air-gapped endpoint is provided. The method includes providing, on the air-gapped endpoint, a plurality of isolated security zones by instantiating a plurality of corresponding virtual machines using a hypervisor; selecting one security zone of the plurality of isolated security zones; and tunneling a traffic from the selected security zone to a designated network location, wherein the tunneling is through a virtual private network (VPN).

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: The disclosure provides a method of treating a substance use disorder in a subject, comprising administering to the subject a therapeutically effective amount of a composition comprising R(?)-ketamine or a pharmaceutically acceptable salt thereof, wherein the composition is substantially free of S(+)-ketamine or a pharmaceutically acceptable salt thereof.

Abstract: Embodiments of the invention provide apparatuses, methods, and systems for projecting images into a projection zone, while having the capability to detect the presence and movement of objects in the projection zone and to interact with those objects, according to programmed interactions. One of the programmed interactions may be to detect objects in the projection zone and avoid projecting light onto them. The capability to detect and avoid objects in the projection zone may allow for the use of high intensity light images including laser light images around people and animals without the risk of eye injury. Another programmed interaction may be to project an illuminated image around people and objects in the projection zone to emphasize their presence and movement.

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: 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: A system for recognizing abnormal activity of human body using wearable electronic device and mixed reality technology, includes a first wearable electronic device, a plurality of second wearable electronic devices, at least one camera, and a judgement module. The system is suitable to be applied in any type of work environment, so as to monitor and determine whether a user (i.e., an operator or an employee) exhibits abnormal activities by referring a document of standard operating procedures (SOP), an operating manual and a document of safety operation standard (SOS), to reduce a rate of user mishandling, thereby achieving the enhancement of work efficiency and productivity.

Abstract: A pharmaceutical drug therapy for autism is disclosed, including a sufficient amount of nicotine and a sufficient amount of amphetamine.

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.