Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: A two-part self-defense apparatus is disclosed. The apparatus is configured for use with a handheld electronic device such as a cellular phone. A removable protective case configured for installation on the handheld electronic device is one part of the apparatus, and a self-defense module containing a self-defense weapon is the other part. The two parts may be connected to form a unitary working unit, and may be disconnected when the self-defense module is not needed or desired. In a preferred embodiment, the self-defense weapon is a stun gun and the handheld electronic device is a cellular phone.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Techniques, systems, and devices are disclosed for analyzing a point of closest approach (PoCA) image of a volume of interest (VOI) comprising a set of recorded PoCA points from charged particle detector measurements to detect an object within the VOI. The VOI is partitioned into a set of equally-sized bins with each bin including a subset of the PoCA points. A bin metric is determined for each bin. A subset of the bins is selected based on the detected bin metric with the subset of bins being most likely to contain objects. A potential object for each selected bin is determined by determining a location and a size for the potential object based at least on the PoCAs inside the bin. A figure of merit (FOM) of the potential object is determined as a measure of the likelihood that the potential object is truly a threat object.

Abstract: Determining a resolved DNS response based on one or more resolutions for a received APN DNS query is disclosed. A resolved DNS response can be based on real-time analysis of a first query and/or on historical resolution of a second query that is sufficiently similar to the first query. In an aspect, training queries can be employed to populate a data store with preferred DNS responses correlated to the training queries and associated network conditions. The data store can then be employed to evaluate a received query, and where sufficiently similar to a training query, corresponding resolution from the training query can be provided as a resolution for the received query. Moreover, as stored query information is determined to become stale, refreshment techniques are disclosed. Additionally, training queries can comprise anticipated queries and historical queries.

Abstract: Embodiments described in this application relate generally to a system, an apparatus and/or methods for manufacturing electrodes by infusion electrolyte into compacted electrode materials. In some embodiments, a working electrode materials can be produced using an infusion mixing and manufacturing process. In some embodiments, a single-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. In some embodiments, a double-sided finished electrode can be produced directly from a dry powder mixture using an infusion mixing and manufacturing process. The electrodes produced by an infusion mixing and manufacturing process generally perform better than those produced by non-infusion processes.

Abstract: Disclosed technology can provide a process for generating reconstructed muon image resolution to optimize the use of the limited angular range muon track data collected by a muon tomography system. In one aspect, a process for improving reconstructed muon image resolution for a volume of interest (VOI) imaged by a muon tomography system includes: collecting raw muon track data of cosmic ray muon tracks passing through the VOI; grouping the raw muon track data into two or more subsets of tracks based on at least one angular distribution of the muon tracks in the raw muon track data; generating a set of images of the VOI based on the two or more subsets of tracks; and combining information from the set of reconstructed images and a reconstructed image based on the full set of the raw muon track data to obtain a resulting reconstructed image of the VOI.

Abstract: Methods, devices, systems and computer program products produce and utilize improved momentum estimates for charged particles such as electrons and muons. One method for measuring momentum includes obtaining charged particle tomographic data at one or more charged particle position detectors corresponding to scattering angles of charged particles that pass through an object volume. The distribution of scattering angles associated with the charged particles is determined using measured data collected from the position detectors, based on deviations of local trajectories of the charged particles in one or more planes relative to a reference trajectory. The method also includes determining a length of the scattering material based on the characteristics of the position detectors and the charged particles' angle of incidence on the position detectors, and obtaining charged particle momentum estimates based on the determined distribution of scattering angles and the length of the scattering material.

Abstract: Methods, devices, systems and computer program products produce and utilize improved momentum estimates for charged particles such as electrons and muons. One method for measuring momentum includes obtaining charged particle tomographic data at one or more charged particle position detectors corresponding to scattering angles of charged particles that pass through an object volume. The distribution of scattering angles associated with the charged particles is determined using measured data collected from the position detectors, based on deviations of local trajectories of the charged particles in one or more planes relative to a reference trajectory. The method also includes determining a length of the scattering material based on the characteristics of the position detectors and the charged particles' angle of incidence on the position detectors, and obtaining charged particle momentum estimates based on the determined distribution of scattering angles and the length of the scattering material.

Abstract: Techniques, systems, and devices are disclosed for analyzing a point of closest approach (PoCA) image of a volume of interest (VOI) comprising a set of recorded PoCA points from charged particle detector measurements to detect an object within the VOI. The VOI is partitioned into a set of equally-sized bins with each bin including a subset of the PoCA points. A bin metric is determined for each bin. A subset of the bins is selected based on the detected bin metric with the subset of bins being most likely to contain objects. A potential object for each selected bin is determined by determining a location and a size for the potential object based at least on the PoCAs inside the bin. A figure of merit (FOM) of the potential object is determined as a measure of the likelihood that the potential object is truly a threat object.

Abstract: Disclosed technology can provide a process for generating reconstructed muon image resolution to optimize the use of the limited angular range muon track data collected by a muon tomography system. In one aspect, a process for improving reconstructed muon image resolution for a volume of interest (VOI) imaged by a muon tomography system includes: collecting raw muon track data of cosmic ray muon tracks passing through the VOI; grouping the raw muon track data into two or more subsets of tracks based on at least one angular distribution of the muon tracks in the raw muon track data; generating a set of images of the VOI based on the two or more subsets of tracks; and combining information from the set of reconstructed images and a reconstructed image based on the full set of the raw muon track data to obtain a resulting reconstructed image of the VOI.