Abstract: Systems, methods and computer software are disclosed for providing a multi-Het Net Gateway (HNG) distributed Self Organizing Network (dSON) for a wireless network. The dSON ascertains information from at least one of User Equipment (UE) reports and neighbor detection for a mobile EnodeB attached to an HNG. A configuration is adjusted for the mobile eNodeB based on location and a state of neighbors obtained from the UE report and neighbor detection. The mobile eNodeB configuration includes at least one of Physical Cell Identification (PCI) allocation, Tracking Area Code (TAC) allocation, reference Transmit (Tx) power management, and Automatic Neighbor Relations (ANR) table.

Abstract: A magnetic sensor circuit includes a plurality of magnetic sensors having bias input and bias output terminals and first and second measurement terminals. The circuit includes a diagnostic sensor having bias input and bias output terminals and first and second measurement terminals. The circuit includes a first multiplexer configured to selectively couple a current source to the bias input terminals of the magnetic sensors or to the bias input terminal of the diagnostic sensor and includes a second multiplexer configured to selectively couple the bias output terminals of the magnetic sensors or the bias output terminal of the diagnostic sensor to a first terminal of a switch. The circuit includes a third multiplexer configured to selectively couple the measurement terminals of the magnetic sensors or the measurement terminals of the diagnostic sensor to differential input terminals of an amplifier.

Abstract: A multicore computing device includes a memory and a processor coupled to the memory. The processor includes plural cores and a multiple input multiple output (MIMO) block coupled to the cores. The MIMO block receives a halt request from a first core of the cores, transmits a core-halt request to one or more other cores other than the first core, to halt execution of the one or more other cores, and permits the first core to lock with a shared resource.

Abstract: A system, device, and method for camera placement based on access tier attributes is disclosed. The method includes correlating, by an at least one electronic processor, a geographical location and existing tiered camera deployments with electronically stored indications of crime rates across a geographic area associated with a security agency. The method also includes generating, by the at least one electronic processor, at least one new proposed security camera deployment at at least a first proposed location in the geographic area associated with the security agency having a proposed tier selected from one of a plurality of tiers determined as a function of the correlating.

Abstract: An interworking gateway for X2 interface communication is disclosed, comprising: an X2 internal interface for communicating with, and coupled to, a plurality of radio access networks (RANs) using a X2AP protocol; a database for associating each of the plurality of RANs with support status for an X2AP protocol version; an X2AP interworking broker for determining, based on communications with each of the plurality of RANs via the X2 internal interface, the support status for an X2AP protocol version for each of the plurality of RANs, the communications further comprising an observed response to a X2AP message of a first X2AP protocol version; and an X2 external interface for communicating with, and coupled to, a destination outside of the plurality of RANs.

Abstract: Methods, devices, and systems for prefetching data. First data is loaded from a first memory location. The first data in cached in a cache memory. Other data is prefetched to the cache memory based on a compression of the first data and a compression of the other data. In some implementations, the compression of the first data and the compression of the other data are determined based on metadata associated with the first data and metadata associated with the other data. In some implementations, the other data is prefetched to the cache memory based on a total of a compressed size of the first data and a compressed size of the other data being less than a threshold size. In some implementations, the other data is not prefetched to the cache memory based on the other data being uncompressed.

Abstract: Described herein is a system and method for flow state save/restore of a virtual filtering platform. A first instance of a driver manages policy and flow state for ongoing flows between client device(s) and virtual machine(s). The virtual filtering platform is transitioned from the first instance of a driver to a second instance of the driver by serializing the policy and state for the ongoing flows on the first instance of the driver using a one pass algorithm. The serialized policy and state for the ongoing flows can be de-serialized with the ongoing flows re-established and/or reconciled on the second instance of the driver in accordance with the de-serialized policy and state for the plurality of ongoing flows. In some embodiments, a memory management technique can use a single operating system memory allocation call to allocate memory for the transition, with the technique managing utilization of the allocation memory.

Abstract: Systems and methods for providing warehousing services that utilize a machine learning model are provided. The system trains a machine learning model with training data comprising item attributes and transaction locations extracted from past transactions for each item category to identify a plurality of transaction zones where each item category has a highest probability for selling. Subsequently, the system receives a warehouse request to warehouse inventory in a remote location. At least one transaction zone is determined based on item attributes of the inventory by applying the trained machine learning model. Based on the determined at least one transaction zone, the system determines one or more warehouse spaces that satisfy a spacing requirement for the inventory and causes presentation of the warehouse recommendation. The warehouse recommendation can indicate the one or more warehouse spaces.

Abstract: Methods, devices, and systems for prefetching data. First data is loaded from a first memory location. The first data in cached in a cache memory. Other data is prefetched to the cache memory based on a compression of the first data and a compression of the other data. In some implementations, the compression of the first data and the compression of the other data are determined based on metadata associated with the first data and metadata associated with the other data. In some implementations, the other data is prefetched to the cache memory based on a total of a compressed size of the first data and a compressed size of the other data being less than a threshold size. In some implementations, the other data is not prefetched to the cache memory based on the other data being uncompressed.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to receive information regarding a performance characteristic of an application during predetermined time periods. The processor may calculate a rate of change in the performance characteristic over the predetermined time periods. Based on a determination that the performance characteristic of the application has changed over the predetermined time periods, the processor may tune values of a set of parameters for the application based on the calculated rate of change in the performance characteristic.

Abstract: Generating user-specific polygraphs for network activity, including: gathering information describing network activity associated with a user and generating, based on the information, a user-specific polygraph that includes one or more destinations associated with the network activity.

Abstract: Detecting anomalous behavior of a device, including: generating, using information describing historical activity associated with a user device, a trained model for detecting normal activity for the user device; gathering information describing current activity associated with the user device; and determining, by using the information describing current activity associated with the user device as input to the trained model, whether the user device has deviated from normal activity.

Abstract: A system, device, and method for camera placement based on access tier attributes is disclosed. The method includes correlating, by an at least one electronic processor, a geographical location and existing tiered camera deployments with electronically stored indications of crime rates across a geographic area associated with a security agency. The method also includes generating, by the at least one electronic processor, at least one new proposed security camera deployment at at least a first proposed location in the geographic area associated with the security agency having a proposed tier selected from one of a plurality of tiers determined as a function of the correlating.

Abstract: Embodiments of the present disclosure relate to a base station and method for communication in a communication network. The method comprising signaling a DMRS-configuration or SRS-configuration to at least one UE. The DMRS-configuration comprises signaling at least one antenna port number from multiple antenna port numbers, each antenna port number indicates location of occupied subcarriers and null subcarriers associated with a DMRS transmission of the at least one UE. The SRS-configuration comprises signaling of parameters associated with a time, a frequency and a code. The method also comprises receiving a data and DMRS signals, or SRS signals corresponding to the at least one UE. Further, grouping a subset of the signals corresponding to a subset of antennas to generate a plurality of signal groups. Next, performing first stage filtering at RU followed by second stage filtering at DU of the signals associated with each signal groups to obtain filtered signals.

Abstract: Nocturia has been defined as the need for an individual to wake up one or more times during the night to void. Further, Nocturia detection also requires analysis of sleeping pattern of the person. In such cases a lot of assumptions are made when the person is not in bedroom during nights. A method and system for detection and validation of Nocturia in the person has been provided. The system is utilizing a statistical based analysis, a rule based analysis, a machine learning based analysis and analysis of sleeping pattern of the person to detect and validate Nocturia. The system ensures that the person is not disturbed in his/her daily activities. Further, the processes deployed in the system are completely un-supervisory in nature meaning it does not have the dependency of needing to have trained machine learning dataset.

Abstract: In implementations of systems for generating anti-aliased vector objects, a computing device implements an anti-aliasing system to receive input data describing a Bezier curve of a vector object. The anti-aliasing system generates an aliased curve by rasterizing the Bezier curve in a pixel space having pixels including intersected pixels that are intersected by the aliased curve and non-intersected pixels that are not intersected by the aliased curve. The anti-aliasing system segments the pixels into segments in a virtual space, and the segments have a higher density than the pixels. An intersected segment is identified that is intersected by a portion of the aliased curve in the virtual space. The anti-aliasing system determines a winding number for the intersected segment and generates a portion of an anti-aliased curve for display in a user interface by applying a color value to a coverage mask for an intersected pixel of the pixels.

Abstract: Log data associated with an environment that includes containers is received. An example of such an environment is one managed by Kubernetes. A logical graph is generated using at least a portion of the received log data. The logical graph is used to detect an anomaly. In response to the anomaly being detected, the anomaly is recorded.

Abstract: The present disclosure relates to wastewater management that provides method and system for monitoring sewer manhole from a remote location. Sewer monitoring system configured in a sewer manhole receives measured values from level sensor and determines accuracy error in the measured values for different conditions. Thereafter, sewer monitoring system resolves the accuracy error in the measured values to obtain accurate measured values by either measuring level of wastewater in the sewer manhole by setting first range limit for the measured values dynamically based on actual depth of sewer manhole, or iteratively measuring level of wastewater in the sewer manhole by setting unique second range limit for the measured values dynamically. Finally, a risk associated with the sewer manhole based on the accurate measured values of the level sensor is determined, for monitoring the sewer manhole from a remote location.

Abstract: Embodiments are disclosed for text-aware application of a color gradient to text characters. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a set of text characters in a first layout, determining a first text path of the set of text characters in the first layout, mapping the set of text characters from the first layout to a second layout, wherein the set of text characters in the second text path are aligned along a coordinate axis, applying a linear color gradient across the mapped set of text characters in the second layout, reverse mapping the set of text characters with the applied linear color gradient from the second layout to the first layout, and outputting the set of text characters in the first layout with the applied linear color gradient from the second layout based on the reverse mapping.

Abstract: The present disclosure relates to devices, methods, and systems for subscriber identification module (SIM) management for a private mobile network. The methods and systems may include a private mobile network service on a cloud computing system. Users of the cloud computing system may use the private mobile network service to create a private mobile network. The private mobile network service may facilitate the creation of the private mobile network by providing interfaces for secure communications with the users of the cloud computing system, the SIM service partners, and the packet core partners. The mobile network service may also manage the SIM cards for the private mobile networks by coordinating the transmission of the SIM operation details for the SIM cards.