Abstract: An antiferroelectric and a method for manufacturing an antiferroelectric are disclosed herein. The antiferroelectric may have high permittivity and breakdown voltage by having a PbxLa1-x([Zr1-YSnY]ZTi1-Z) composition. The manufacturing of the antiferroelectric may be performed through appropriate mixing and dysprosium addition.

Abstract: A method of correcting an output value of a geomagnetic sensor that recursively calculates a state estimate, an estimate gain vector, and an estimate error co-variance based on the output value of the geomagnetic sensor that is acquired sequentially and corrects the output value of the geomagnetic sensor based on the value includes acquiring a kth output value of the geomagnetic sensor, calculating a kth estimate gain vector based on a k?1th estimate error co-variance and the kth output value, calculating a kth state estimate based on the calculated kth estimate gain vector and the kth output value and a k?1th state estimate, calculating the kth estimate error co-variance using the kth estimate gain vector and a k?1th estimate error co-variance, and correcting the output value of the geomagnetic sensor based on the kth state estimate, wherein k is a natural number larger than 1.

Abstract: A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Abstract: A method of correcting an output value of a geomagnetic sensor that recursively calculates a state estimate, an estimate gain vector, and an estimate error co-variance based on the output value of the geomagnetic sensor that is acquired sequentially and corrects the output value of the geomagnetic sensor based on the value includes acquiring a kth output value of the geomagnetic sensor, calculating a kth estimate gain vector based on a k?1th estimate error co-variance and the kth output value, calculating a kth state estimate based on the calculated kth estimate gain vector and the kth output value and a k?1th state estimate, calculating the kth estimate error co-variance using the kth estimate gain vector and a k?1th estimate error co-variance, and correcting the output value of the geomagnetic sensor based on the kth state estimate, wherein k is a natural number larger than 1.

Abstract: A method for calculating an angle of inclination of a magnetic field in a sensor coordination system includes measuring a magnetic field vector using a magnetometer, measuring an acceleration vector using an accelerometer, determining whether the sensor coordination system is in a moving state or a stationary state using the acceleration vector, and calculating the inclination angle of the magnetic field using the magnetic field vector and the acceleration vector, in response to the determining indicating the stationary state.

Abstract: A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

Abstract: A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.

Abstract: A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.

Abstract: Provided are a mobile device and a method of changing a screen orientation of the mobile device. A method for changing a screen orientation of a mobile device includes: recognizing a motion of the mobile device; determining whether to change the screen orientation of the mobile device based on a first motion sensor of the mobile device; determining whether a viewing direction of a user of the mobile device is matched to the screen orientation of the mobile device based on at least one of the first motion sensor and a second motion sensor; and maintaining the screen orientation of the mobile device in response to a determination that the viewing direction of the user of the mobile device is matched to the screen orientation of the mobile device.

Abstract: Methods and apparatuses are disclosed herein for population tracking, counting and/or movement estimation. In one embodiment, the method comprises receiving mobile phone operational data indicative of user equipment location, where the event data includes location area update messages and periodic registration messages; and performing travel estimation based on the mobile phone operation data, including performing interpolation on data associated with one or more individuals in a population to estimate intermediate positions of a trajectory of each of the one or more individuals for a specified time period based on a shortest path mesh sequence estimation algorithm.

Abstract: Methods and apparatuses are disclosed herein for population tracking, counting and/or movement estimation. In one embodiment, the method comprises receiving mobile phone operational data indicative of user equipment location, where the event data includes location area update messages and periodic registration messages; and performing travel estimation based on the mobile phone operation data, including performing interpolation on data associated with one or more individuals in a population to estimate intermediate positions of a trajectory of each of the one or more individuals for a specified time period based on a shortest path mesh sequence estimation algorithm.

Abstract: Methods and apparatuses are disclosed herein for population tracking, counting and/or movement estimation. In one embodiment, the method comprises receiving mobile phone operational data indicative of user equipment location, where the event data includes location area update messages and periodic registration messages; and performing travel estimation based on the mobile phone operation data, including performing interpolation on data associated with one or more individuals in a population to estimate intermediate positions of a trajectory of each of the one or more individuals for a specified time period based on a shortest path mesh sequence estimation algorithm.

Abstract: Methods and apparatuses are disclosed herein for population tracking, counting and/or movement estimation. In one embodiment, the method comprises receiving mobile phone operational data indicative of user equipment location, where the event data includes location area update messages and periodic registration messages; and performing travel estimation based on the mobile phone operation data, including performing interpolation on data associated with one or more individuals in a population to estimate intermediate positions of a trajectory of each of the one or more individuals for a specified time period based on a shortest path mesh sequence estimation algorithm.