Abstract: Embodiments of systems and methods for time domain multiplexing solutions for in-device coexistence are generally described herein. Other embodiments may be described and claimed.

Abstract: A system for locating a mobile device includes an input that accesses a plurality of scans of wireless network access signaling, where the scans indicate received signal measurement results. A similarity measure module executes comparisons between the data of different scans in order to assess the similarity between those scans. The comparisons produce multi-dimensional comparison results. A dimension reduction module reduces dimensionality of the multi-dimensional comparison results to produce a dimension-reduced set of comparison results. A clustering module identifies groupings of similar scans based on the dimension-reduced set of comparison results.

Abstract: This disclosure describes systems, methods, and computer-readable media related to employing adaptive multi-feature semantic location sensing methods to estimate the semantic location of a mobile device. A set of wireless data scans associated with one or more access points at one or more locations may be received. One or more features of the one or more locations may be identified, based upon the set of wireless data scans wherein the features are associated with one or more location metrics. At least one of the one or more access points may be determined to be associated with a first location based upon, at least in part, the set of wireless data scans. A first classifier for the first location may be generated based upon, at least in part, the one or more features and the associated access points.

Abstract: A magnetic resonance technology is used to implement front and back proximity sensing capability for wireless devices such as a laptap device. For example, a high quality (Q) factor coil antenna may be embedded in a display, such as a liquid crystal display, of a first laptap device to detect other wireless devices (e.g., a second laptap) that are within coupling distance of the first laptap device. In this example, the second laptap device induces a sine wave signal to the first laptap device if the second laptap device is physically located at backside of the first laptap device. Otherwise, the second laptap device may induce a cosine wave signal to the first laptap device if the second laptap device is physically located at the front side of the first laptap device.

Abstract: A system for locating a mobile device includes an input that accesses a plurality of scans of wireless network access signaling, where the scans indicate received signal measurement results. A similarity measure module executes comparisons between the data of different scans in order to assess the similarity between those scans. The comparisons produce multi-dimensional comparison results. A dimension reduction module reduces dimensionality of the multi-dimensional comparison results to produce a dimension-reduced set of comparison results. A clustering module identifies groupings of similar scans based on the dimension-reduced set of comparison results.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier to may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: This disclosure is directed to positioning and mapping based on virtual landmarks. A space may include a plurality of signal sources (e.g., wireless access points (APs), cellular base stations, etc.). The space may be virtually divided into a plurality of regions, wherein each region in the space may be associated with a virtual landmark. Virtual landmarks may be identified by a signature comprised of measurements of wireless signals received from the plurality of access points when at the associated region. A device position may be approximated based on signal power magnitude and variance measurements for wireless signals received at the virtual landmark. Devices may employ an algorithm such as, for example, Simultaneous Localization and Mapping (SLAM) for positioning and map creation in the space without the need for GPS signals, specialized signaling equipment, pre-navigation device training, etc. Navigation/mapping may also account for space changes, signal source position changes, etc.

Abstract: Embodiments of the present disclosure provide techniques and configurations for an apparatus for identifying a maneuver of sports equipment. In one instance, the apparatus may comprise a housing to be attached to the sports equipment; two or more sensors disposed on or in the housing to sense acceleration or rotation of the sports equipment during the motion of the sports equipment, and to output motion data associated with the acceleration or rotation of the sports equipment; and circuitry disposed in the housing and coupled to the sensors to receive the motion data and to identify a maneuver performed using the sports equipment, based on the motion data. Other embodiments may be described and/or claimed.

Abstract: The present invention relates to a catalytic cracking catalyst and a preparation process thereof, the catalytic cracking catalyst has a cracking active component, an optional mesoporous aluminosilicate material, a clay and a binder, wherein said cracking active component comprises, substantially consists of or consists of: a rare earth-containing Y zeolite, an optional other Y zeolite, and an optional MFI-structured zeolite, said rare earth-containing Y zeolite has a rare earth content as rare earth oxide of 10-25 wt %, e.g. 11-23 wt %; a unit cell size of 2.440-2.472 nm, e.g. 2.450-2.470 nm; a crystallinity of 35-65%, e.g. 40-60%; a Si/Al atom ratio in the skeleton of 2.5-5.0; and a product of the ratio of the strength I1 of the peak at 2?=11.8±0.1° to the strength I2 of the peak at 2?=12.3±0.1° in the X-ray diffraction spectrogram of the zeolite and the weight percent of rare earth as rare earth oxide in the zeolite of higher than 48, e.g. higher than 55.

Abstract: Implementations described herein provide a magnetic ring which enables both lateral and azimuthal tuning of the plasma in a processing chamber. In one embodiment, the magnetic ring has a body. The body has a top surface and a bottom surface, and a plurality of magnets are disposed on the bottom surface of the body.

Abstract: The present invention discloses a catalytic cracking catalyst and a preparation process therefor. The catalytic cracking catalyst comprises a cracking active component, 10 wt %-70 wt % of a clay on the dry basis, and 10 wt %-40 wt % of an inorganic oxide binder (as oxide), relative to the weight of the catalytic cracking catalyst, wherein said cracking active component contains, relative to the weight of the catalytic cracking catalyst, 10 wt %-50 wt % of a modified Y-type zeolite on the dry basis and 0-40 wt % of other zeolite on the dry basis, wherein said modified Y-type zeolite is characterized by having a unit cell size of 2.420-2.440 nm; as percent by weight of the modified Y-type zeolite, a phosphorus content of 0.05-6%, a RE2O3 content of 0.03-10%, and an alumina content of less than 22%; and a specific hydroxy nest concentration of less than 0.35 mmol/g and more than 0.05 mmol/g.

Abstract: Embodiments herein relate to determining the location of a device using hybrid localization techniques. For example, a first technique such as trilateration may be used to determine an approximate location of the device. An error associated with the approximate location may also be implemented to increase the likelihood of locating the device upon applying a second localization technique, such as fingerprinting. Fingerprinting, when applied to the approximate location determined from trilateration, may determine the location of the device, or a more precise location than that determined from trilateration, such that reduced power consumption by the device may be achieved without sacrificing location accuracy.

Abstract: The disclosure relates to automatic calibration for cross devices in Wi-Fi fingerprint based areas. In an exemplary embodiment, an online device scans and obtains multiple signal strength value (RSSIoi) from local access points. The online device may access a fingerprint database and obtain a set of fingerprints. Each fingerprint includes a known location, a set of RSSI values (RSSIfi) and optionally a device/model name. For each fingerprint, the online device: (1) calculates a fingerprint RSSI offset (fpOff) in real-time; (2) applies the fingerprint RSSI offset (fpOff) to the fingerprint RSSI values to determine adjusted fingerprint values. Then the online device identifies fingerprints with minimum Euclidean distance and uses their RSSI offset (fpOff) value to determine a device RSSI offset value. The device offset value can be used to calibrate the online device and to provide accurate location information.

Abstract: A mobile device includes an inertial navigation system (INS) to measure inertial quantities associated with movement of the device, and estimate a kinematic state associated with the movement based on the measured inertial quantities. The device includes a light receiver to record light beams originating from lights at respective image positions in a sequence of images. The device photogrammetrically determines its position relative to the originating lights based on predetermined real-world positions and corresponding image positions of the lights. The device corrects the estimated kinematic state based on the photogrammetrically determined position, to produce a corrected estimated kinematic state.

Abstract: Systems and methods may provide for using one or more generic classifiers to generate self-training data based on a first plurality of events associated with a device, and training a personal classifier based on the self-training data. Additionally, the one or more generic classifiers and the personal classifier may be used to generate validation data based on a second plurality of events associated with the device. In one example, the personal classifier is substituted for the one or more generic classifiers if the validation data indicates that the personal classifier satisfies a confidence condition relative to the one or more generic classifiers.

Abstract: Certain embodiments herein are directed to vehicle-based small cell base stations. A vehicle-based base station may include at least one antenna; at least one transceiver coupled to the at least one antenna; at least one memory that stores computer-executable instructions; and at least one processor in communication with the transceiver and configured to access the at least one memory. The processor may be configured to execute the computer-executable instructions to receive data associated with a user device from a base station; receive data from the base station; establish connection with the user device based at least in part on the data received from the macrocell base station; and transmit the data received from the base station to the user device.

Abstract: Various embodiments are generally directed to techniques to provide location sensing of a virtual map derived from sensors of a computing device moved about an interior of a structure. An apparatus for location sensing includes a processor component; and a refined trajectory generator, an inconsistent constraint identifier for identifier inconsistent constraints used to generate the refined trajectories, and an updated constraint set generator for updating the constraint set to remove the identified inconsistent constraints. Other embodiments are described and claimed.

Abstract: An apparatus may include a set of transceivers comprising three or more transceivers each operable to communicate via a wireless communications standard different from each other transceiver and a driver to output an enable signal when a first transceiver of the set of transceivers is active. The apparatus may also include a processor circuit and a real-time frame synchronization module operable on the processor circuit to receive a first frame synchronization input signal to delineate first receive and first transmit periods of a radio frame of a first transceiver of the set of transceivers, and to generate a frame synchronization signal to align receive and transmit periods of each of a multiplicity of additional transceivers of the set of transceivers to the respective first receive and first transmit periods of the first transceiver. Other embodiments are disclosed and claimed.

Abstract: Various embodiments are generally directed to techniques to merge a virtual map derived from sensors of computing devices moved about an interior of a structure with a corresponding physical map. An apparatus to merge maps includes a processor component; and a merged map generator for execution by the processor component to merge a virtual map and a physical map to generate a merged map, the virtual map comprising indications of virtual pathways through an interior of a structure based on sensors, and the physical map comprising indications of physical pathways of the interior. Other embodiments are described and claimed.

Abstract: Wireless location identification systems, methods, and devices include a wireless device configured to transmit at least one sonic signal operating on at least one acoustic frequency and to receive at least one echo signal indicative of the at least one sonic signal being reflected by objects in a current location, an audio module configured to measure the received at least one echo signal and process the at least one echo signal to extract attributes of the echo signal and generate at least one echo profile characteristic; and logic configured to compare the at least one profile characteristic with previously-stored sonic characteristics that are correlated with pre-identified locations. The current location is then identified as a pre-identified location correlated to the previously-stored sonic characteristics that match the at least one profile characteristic.