Abstract: Machine learning-based methods are disclosed to intelligently generate dynamic workflows, such as dynamic call lists and priority levels of alarm notifications. To generate a dynamic call list based on an alarm notification, the system may identify electronic devices present in an area using emitted passive electromagnetic signals (e.g., RF signals such as Bluetooth, WiFi, and/or cellular). The identification of the electronic devices may be associated with known and/or unknown individuals on the premises. The RF signal data may be processed using at least one ML model to determine the severity of the alarm. Based on the processed data, the system may assign a priority level to the alarm, where the priority level may range from level 0 (no action) to level 4 (dispatch law enforcement immediately). The disclosed methods use trained machine learning models to generate a dynamic call list and identify false alarms with increased accuracy.

Abstract: Methods are disclosed to identify and/or count a number of electronic devices present in an area using emitted passive Bluetooth Low Energy (BLE) signals. The identification and/or counting of Bluetooth-enabled devices improves private and public security in determining human presence. Bluetooth-enabled devices passively emit BLE signals for inter-device communication in the form of Bluetooth Advertising Packets. The packets are sent by BLE-enabled devices to search for other known or compatible BLE devices, and advertise information such as media access control (MAC) addresses, device manufacturers, connection capabilities, and manufacturer-specific data. By passively listening to and decoding the observed BLE signals, access to the packets and the metadata they contain is gained. The disclosed methods can include use of other wireless data transfer protocols, such as Bluetooth and Cellular.

Abstract: Machine learning-based methods are disclosed to identify and/or count a number of electronic devices present in an area using emitted passive Wi-Fi signals. The identification and/or counting of Wi-Fi-enabled devices improves private and public security in determining human presence. The disclosed methods use trained machine learning models that learns the relationship between real-time Wi-Fi probe request broadcast behavior distribution and the number of electronic devices present. The disclosed methods can include use of other wireless data transfer protocols, such as Bluetooth and Cellular.

Abstract: A system for monitoring cellular communications including a passive sensor device, processors, and memory devices. The memory devices having instructions that cause the processors to identify active downlink channels using a first radio to monitor each channel in a cellular spectrum and store downlink channel information, including configuration data, for each of the identified active downlink channels. The processors identify active uplink channels using a second radio to monitor each channel in the cellular spectrum and store uplink channel information for each of the identified active uplink channels. The processors correlate one of the active uplink channels with a corresponding active downlink channel and tune a third radio to the active uplink channel using the configuration data for the corresponding active downlink channel. The processors also tune a fourth radio to the active downlink channel corresponding to the at least one active uplink channel using the corresponding configuration data.

Abstract: A system for monitoring cellular communications including a passive sensor device, processors, and memory devices. The memory devices having instructions that cause the processors to identify active downlink channels using a first radio to monitor each channel in a cellular spectrum and store downlink channel information, including configuration data, for each of the identified active downlink channels. The processors identify active uplink channels using a second radio to monitor each channel in the cellular spectrum and store uplink channel information for each of the identified active uplink channels. The processors correlate one of the active uplink channels with a corresponding active downlink channel and tune a third radio to the active uplink channel using the configuration data for the corresponding active downlink channel. The processors also tune a fourth radio to the active downlink channel corresponding to the at least one active uplink channel using the corresponding configuration data.

Abstract: A system for monitoring cellular communications including a passive sensor device, processors, and memory devices. The memory devices having instructions that cause the processors to identify active downlink channels using a first radio to monitor each channel in a cellular spectrum and store downlink channel information, including configuration data, for each of the identified active downlink channels. The processors identify active uplink channels using a second radio to monitor each channel in the cellular spectrum and store uplink channel information for each of the identified active uplink channels. The processors correlate one of the active uplink channels with a corresponding active downlink channel and tune a third radio to the active uplink channel using the configuration data for the corresponding active downlink channel. The processors also tune a fourth radio to the active downlink channel corresponding to the at least one active uplink channel using the corresponding configuration data.

Abstract: A system for monitoring cellular communications including a passive sensor device, processors, and memory devices. The memory devices having instructions that cause the processors to identify active downlink channels using a first radio to monitor each channel in a cellular spectrum and store downlink channel information, including configuration data, for each of the identified active downlink channels. The processors identify active uplink channels using a second radio to monitor each channel in the cellular spectrum and store uplink channel information for each of the identified active uplink channels. The processors correlate one of the active uplink channels with a corresponding active downlink channel and tune a third radio to the active uplink channel using the configuration data for the corresponding active downlink channel. The processors also tune a fourth radio to the active downlink channel corresponding to the at least one active uplink channel using the corresponding configuration data.

Abstract: A system for monitoring cellular communications including a passive sensor device, processors, and memory devices. The memory devices having instructions that cause the processors to identify active downlink channels using a first radio to monitor each channel in a cellular spectrum and store downlink channel information, including configuration data, for each of the identified active downlink channels. The processors identify active uplink channels using a second radio to monitor each channel in the cellular spectrum and store uplink channel information for each of the identified active uplink channels. The processors correlate one of the active uplink channels with a corresponding active downlink channel and tune a third radio to the active uplink channel using the configuration data for the corresponding active downlink channel. The processors also tune a fourth radio to the active downlink channel corresponding to the at least one active uplink channel using the corresponding configuration data.

Abstract: The present invention systems and methods enable dynamic allocation and control of on-chip memory. In one embodiment, a system includes a plurality of internal memory components and a control component. The plurality of internal memory components store information. The control component controls access requests from a plurality of heterogeneous components to the internal memory components. The plurality of internal memory components are dynamically assigned to the plurality of heterogeneous components. The heterogeneous components can include different types of engines. In one embodiment, the system includes a clock compensation component for coordinating clocking for access requests from the heterogeneous engines.

Abstract: A process of growing a dielectric layer includes a step of heating a gas mixture of at least one gas having a first chemical element of oxygen and a second chemical element other than oxygen to a first predetermined temperature to produce reactive precursors of the gas mixture. The reactive precursors are then introduced into a reaction chamber that houses at least one wafer to grow the dielectric layer on the wafer within the reaction chamber at a second predetermined temperature below the first predetermined temperature. A semiconductor manufacturing apparatus of growing the dielectric layer is also described.

Abstract: A system and method for reordering memory references for pixels to improved bandwidth and performance in texture mapping systems and other graphics systems by improving memory locality in conventional page-mode memory systems. Pixel memory references are received from a client graphics engine and placed in a pixel priority heap. The pixel priority heap reorders the pixel memory references so that references requiring a currently open page are, in general, processed before references that require page breaks. Reordered pixel memory references are transmitted to a memory controller for accessing memory.