Abstract: Apparatuses and methods for in-situ temperature measurement of a process chamber are described herein. A process chamber includes an infrared (IR) sensor mounted to the chamber wall. The IR sensor is mounted such that it can be oriented to receive an IR wave from targets within the process chamber through a view port in the chamber wall to detect a temperature of a surface inside the chamber, or to receive an IR wave from a target outside of the process chamber to detect an atmospheric temperature or a temperature of an exterior surface of the process chamber. As the orientation of the IR sensor is controllable to receive the IR wave from selected directions, it may be used to detect the temperature of various targets inside and outside the process chamber. The obtained temperature information is useful to improve overall chamber matching, processing throughput, and uniformity.

Abstract: Disclosed methods, systems, and storage media may track body movements and movement trajectories using internal measurement units (IMUs), where a first IMU may be attached to a first wrist of a user, a second IMU may be attached to a second wrist of the user, and a third IMU may be attached to a torso of the user. Upper body movements may be derived from sensor data produced by the three IMUs. IMUs are typically not used to detect fine levels of body movements and/or movement trajectory because most IMUs accumulate errors due to large amounts of measurement noise. Embodiments provide arm and torso movement models to which the sensor data is applied in order to derive the body movements and/or movement trajectory. Additionally, estimation errors may be mitigated using a hidden Markov Model (HMM) filter. Other embodiments may be described and/or claimed.

Abstract: Embodiments of the invention relate to a bijection photoelectric sensor and a target detection system. The bijection photoelectric sensor includes a light projector and a light receiver. The light projector includes: a light emitting device, emitting light; a first lens, converting the light emitted by the light emitting device into parallel light; and a first baffle, located between the light emitting device and the first lens. A first through hole is provided on the first baffle. A center of the first through hole is overlapped with a focal point of the first lens. In addition, a visual field formed by the light emitted by the light emitting device is controlled through the first through hole. According to the embodiments of the invention, a light spot with a sufficient amount of light and in a desired shape is able to be obtained.

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: Methods and apparatus for high speed location determinations are disclosed. An example apparatus includes at least two coils arranged along a zone of interest to generate a magnetic field, and a sensor to measure a change in the magnetic field associated with the at least two coils as an object of interest moves within or into the zone of interest. The example apparatus also includes a processor to determine a position of the object of interest based on the measured change.

Abstract: Process chambers having a tunable showerhead and a tunable liner are disclosed herein. In some embodiments, a processing chamber includes a showerhead; a chamber liner; a first impedance circuit coupled to the showerhead to tune an impedance of the showerhead; a second impedance circuit coupled to the chamber liner to tune an impedance of the chamber liner; and a controller coupled to the first and second impedance circuits to control relative impedances of the showerhead and the chamber liner.

Abstract: Embodiments of a mobile station and method for Wi-Fi scan scheduling and power adaption for low-power indoor location are generally described herein. In some embodiments, the mobile station may identify channels, beacon timing and rough signal strength levels of nearby access points (APs) from at least one of a previous full-channel scan or a Wi-Fi fingerprint database and may configure receiver sensitivity based on the rough signal strength levels for receipt of subsequent beacons. The mobile station may wake-up from a low-power state to receive beacons for the nearby access points on the identified channels at times based on the identified beacon timing. The received signal strength indicators (RSSIs) levels of the received beacons may be used for location determination.

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.