Abstract: Disclosed are techniques for managing activity notifications and determining incident scores for a plurality of locations indicating a level of vulnerability to damage or service disruption of an item of utility infrastructure. In an aspect, a method can include receiving an activity notification including an activity location; determining a location incident score for the activity location based a location-score heatmap; determining an activity notification disposition based on the incident score; and transmitting a message including the disposition. In another aspect a method can include training a location scoring model based on features from combined records including historical activity notifications and incident reports corresponding to a plurality of locations.

Abstract: The present application relates to expanded graphite and exfoliated graphene oxide. More specifically, the present application relates to process for their preparation and uses thereof. The present application includes a process for preparing expanded graphite comprising: mixing graphite with H2SO4/H3PO4 to form a first mixture; adding KMnO4 to the first mixture to form a second and mixture; adding at least one Fe(III) salt to the second mixture under conditions to form a solid graphite-intercalated compound; separating the solid graphite-intercalated compound from the second mixture; and heating the solid graphite-intercalated compound under conditions to provide the expanded graphite.

Abstract: A method to generate upgrade recommendations for wireless wide area networks may include receiving parameters associated with an existing network configuration, customer usage, and a network demand, and identifying recommendations for locations of potential new cell sites corresponding with sectors within a geographical region associated with the network, where the identifying is based on the existing network configuration and customer usage. The method may include predicting a performance impact on the network based on the recommendations for potential new cell site locations, and selecting network upgrades based on the recommendations for potential new cell site locations, the network demand, and the predicted performance impact.

Abstract: A work machine controller that is coupled to the boom assembly may comprise of a controller with a memory that stores computer-executable instructions and a processor that executes instructions. The instructions include monitoring a first position signal from the first boom position sensor, a second position signal from the second boom position sensor, the load signal, and the orientation signal. The instructions then include calculating a load vector based on the load signal and the orientation signal, generating a disorientation signal based on the load vector and a direction of travel, determining if the disorientation signal is outside a predetermined threshold, and actuating one or more of the actuators and the ground-engaging mechanism to reorient the load when the disorientation signal exceeds the predetermined threshold.

Abstract: A method for user equipment (UE) based network capability scoring for wireless wide area network management includes receiving parameters associated with a performance of a network, user equipment devices network utilization, and/or user application requirements. The method further includes determining throughput evaluations of data exchanges between UEs and sectors associated with cell sites within the network, and identifying device performance scores based on the throughput evaluations. The device performance scores may be adjusted based on at least one independent metric. The method may evaluate sectors based on the identified device performance scores.

Abstract: A system identifies first areas of a plurality of areas of a wireless network for wireless site installation. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to at least one of population, residential buildings, or business buildings within the identified first areas of the wireless network. The system optimizes, based on the machine learning, geographic placement of prospective wireless sites within each of the identified first areas of the wireless network to maximize improvements in network performance parameters associated with installing the prospective wireless sites. The system provides optimized wireless site placement recommendations for wireless site installation in each of the identified first areas.

Abstract: A method for user equipment (UE) based network capability scoring for wireless wide area network management includes receiving parameters associated with a performance of a network, user equipment devices network utilization, and/or user application requirements. The method further includes determining throughput evaluations of data exchanges between UEs and sectors associated with cell sites within the network, and identifying device performance scores based on the throughput evaluations. The device performance scores may be adjusted based on at least one independent metric. The method may evaluate sectors based on the identified device performance scores.

Abstract: A method to generate upgrade recommendations for wireless wide area networks may include receiving parameters associated with an existing network configuration, customer usage, and a network demand, and identifying recommendations for locations of potential new cell sites corresponding with sectors within a geographical region associated with the network, where the identifying is based on the existing network configuration and customer usage. The method may include predicting a performance impact on the network based on the recommendations for potential new cell site locations, and selecting network upgrades based on the recommendations for potential new cell site locations, the network demand, and the predicted performance impact.

Abstract: A system identifies first areas of a plurality of areas of a wireless network for wireless site installation. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to at least one of population, residential buildings, or business buildings within the identified first areas of the wireless network. The system optimizes, based on the machine learning, geographic placement of prospective wireless sites within each of the identified first areas of the wireless network to maximize improvements in network performance parameters associated with installing the prospective wireless sites. The system provides optimized wireless site placement recommendations for wireless site installation in each of the identified first areas.

Abstract: A system identifies first areas of a multiple areas of a wireless network for wireless site installation and determines geographic locations within each of the identified first areas for prospective wireless site installations. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to population, population densities, housing growth rates, housing densities, and building growth rates. The system determines, based on the machine learning, geographic locations within each of the identified first areas for installations of prospective wireless sites, and forecasts improvements in network performance parameters associated with building each of the prospective wireless site installations.

Abstract: A one-pot approach for the scalable production of novel interconnected reduced graphene oxide (IC-RGO) is demonstrated). The method consists of two steps: oxidation of graphite into graphene oxide (GO); and concomitant reduction and interconnection of GO. IC-RGO is formed without additional chemical and reduction agents. Instead, interconnection of graphene oxide is enabled thorough inherently presenting oxygen functional groups produced during the first step of synthesis.

Abstract: A system identifies first areas of a multiple areas of a wireless network for wireless site installation and determines geographic locations within each of the identified first areas for prospective wireless site installations. The system performs machine learning to associate measured network performance parameters within the wireless network with empirical data related to population, population densities, housing growth rates, housing densities, and building growth rates. The system determines, based on the machine learning, geographic locations within each of the identified first areas for installations of prospective wireless sites, and forecasts improvements in network performance parameters associated with building each of the prospective wireless site installations.

Abstract: A system determines an optimized number and placement of wireless stations based on predicted future demand scoring of end user devices. A computing device calculates a growth projection of mobile devices in a geographic region for a time period; calculates a visiting projection for a peak amount of mobile devices connected to wireless stations in the geographic area and their locations when connected to wireless stations within the time period; calculates an application-use projection for bandwidth use patterns of the mobile devices within the time period; and calculates a network impact projection for an amount bandwidth impact by the mobile devices at each of the wireless stations. The computing device generates a demand score for geographic units within the geographic region, based on the projections, and assigns, based on the demand score, one or more of the geographic units as placement locations for new wireless station during the time period.

Abstract: A monitoring platform may obtain information concerning a location of a node device on a wire and information concerning a location of an antenna of a customer premises equipment (CPE). The monitoring platform may cause, based on the information concerning the location of the node device and the information concerning the location of the antenna of the CPE, the node device to move from a first node device position to a second node device position on the wire. The monitoring platform may cause the node device and the CPE to communicate via a communication link.

Abstract: Present disclosure relates to a segregation unit (100) for a solid waste management system (200). The segregation unit (100) comprises an enclosure (1), defined with at least one inlet portion (2), to receive shredded solid waste (3). The enclosure (1) is adapted to define a compartment (4), to store the shredded solid waste (3). Further, a flow creation device (5) is in fluid communication with the enclosure (1). The flow creation device (5) is configured to create a flow of the shredded solid waste (3) entering the enclosure (1) through the at least one inlet portion (2) such that, the shredded solid waste (3) is segregated, based on volumetric mass, across the compartment (4). This may help in segregating biodegradable waste from non-biodegradable waste, based on volumetric mass.

Abstract: A system determines an optimized number and placement of wireless stations based on predicted future demand scoring of end user devices. A computing device calculates a growth projection of mobile devices in a geographic region for a time period; calculates a visiting projection for a peak amount of mobile devices connected to wireless stations in the geographic area and their locations when connected to wireless stations within the time period; calculates an application-use projection for bandwidth use patterns of the mobile devices within the time period; and calculates a network impact projection for an amount bandwidth impact by the mobile devices at each of the wireless stations. The computing device generates a demand score for geographic units within the geographic region, based on the projections, and assigns, based on the demand score, one or more of the geographic units as placement locations for new wireless station during the time period.

Abstract: Doping and functionalization could significantly assist in the improvement of the electrochemical properties of graphene derivatives. Herein, we report a one-pot synthesis of fluorinated graphene oxide (FGO) from graphite. The surface morphology, functionalities and composition of the resulting FGO have been studied using various surface characterization techniques, revealing that layer-structured nanosheets with ˜1.0 at. % F were formed. The carbon bound F exhibited semi-ionic bonding characteristic and significantly increased the capacitance of FGO compared to graphene oxide (GO). Further, the FGO has been employed for the simultaneous detection of heavy metal ions Cd2+, Pb2+, Cu2+ and Hg2+ using square wave anodic stripping voltammetry; and a substantial improvement in the electrochemical sensing performance is achieved in comparison with GO.

Abstract: A one-pot approach for the scalable production of novel interconnected reduced graphene oxide (IC-RGO) is demonstrated). The method consists of two steps: oxidation of graphite into graphene oxide (GO); and concomitant reduction and interconnection of GO. IC-RGO is formed without additional chemical and reduction agents. Instead, interconnection of graphene oxide is enabled thorough inherently presenting oxygen functional groups produced during the first step of synthesis.

Abstract: A bifunctional peptide molecule is disclosed. In one embodiment, the molecule comprises at least two segments, wherein the first segment comprises a tooth enamel binding region of a salivary protein and wherein the second segment comprises an antimicrobial domain of a naturally occurring antimicrobial polypeptide, wherein the first segment and the second segment are linked by a biodegradable bond.