Abstract: Disclosed are a positioning method including: obtaining, by a device for providing a positioning function, multi-source wireless signal data from a collection data database (DB); generating, by the device, a matching map using the multi-source wireless signal data; generating, by the device, a matching map image corresponding to the matching map; generating, by the device, a classification model for positioning that outputs a labeling value of the matching map image when the matching map image is input; and performing, by the device, positioning based on a labeling value of a classified image that is output as a result of inputting the matching map image to the classification model for positioning, and a positioning device for providing a positioning function.

Abstract: A computing device loads signal strengths of wireless communication signals collected at a plurality of first collection areas and position information of the first collection areas, sets positions of a plurality of virtual transmitting apparatuses. The computing device estimates signal strengths of wireless communication signals in a plurality of second collection areas based on a distance between a position of each of the virtual transmitting apparatuses and each of the first collection areas, a signal strength collected at each of the first collection areas, and a distance between a position of each of the virtual transmitting apparatuses and each of the second collection areas. The computing device determines an optimal virtual transmitting apparatus among the virtual transmitting apparatuses, and generates positioning data at the second collection areas based on signal strengths in the second collection areas which are estimated based on a position of the optimal virtual transmitting apparatus.

Abstract: Provided is a method of generating direction vectors of particles. The method includes calculating, by a processor, a center of gravity of the particles on the basis of characteristic values of one or more particles in a cluster including the particles, and generating, by the processor, direction vectors of the particles on the basis of the center of gravity.

Abstract: Disclosed herein are an apparatus and method for positioning of uncollected points based on machine learning using matching wireless communication infrastructure points. The apparatus includes memory in which at least one program according to an embodiment is recorded and a processor for executing the program. The program may compare collected data acquired from wireless communication infrastructure with positioning data measured by a positioning target terminal and thereby extract matching feature points; create a fingerprint database of global grid cells, including uncollected points, for the extracted feature points in real time; and estimate the optimal composite location of the positioning target terminal based on the created fingerprint database.

Abstract: Provided is a technology for operating a radio signal positioning database for object position tracking or search. Specifically, provided is a positioning database computing method and apparatus for generating and updating positioning data constituting a radio positioning database. The positioning database computing method includes comparing collected data received from a collection apparatus with positioning data in an existing positioning database to determine similarity therebetween, updating the existing positioning database using the collected data, upon determining that the data is similar as a result of comparison, and generating positioning data in the positioning database using the collected data, upon determining that the data is not similar as the result of comparison. Therefore, it is possible to gradually update the positioning DB even with partial collected data collected newly, so that it is possible to effectively manage the positioning DB reflecting the latest positioning environment.

Abstract: An apparatus for estimating location of a location request terminal receives a location request signal including first wireless communication infrastructure measurement information through a first wireless communication infrastructure of first coverage range and a second wireless communication infrastructure measurement information through a second wireless communication infrastructure of second coverage range greater than the first coverage range, estimates different types of second wireless communication infrastructure measurement information measured at the same location as the location request terminal, generates extended second wireless communication infrastructure measurement information by combining the second wireless communication infrastructure measurement information and the estimated second wireless communication infrastructure measurement information, and determines location of the location request terminal through comparison between a location DB storing the measurement information collected thr

Abstract: Disclosed herein are an apparatus and method for precise positioning based on deep learning. The method performed by the apparatus includes setting a collection location and a collection environment, collecting wireless signal data based on the collection location and the collection environment, generating a magnitude map image for training from the wireless signal data, and generating a positioning DB model by learning the image characteristics of the magnitude map image for training through deep-learning-based training.

Abstract: Disclosed herein are an apparatus and method for positioning of uncollected points based on machine learning using matching wireless communication infrastructure points. The apparatus includes memory in which at least one program according to an embodiment is recorded and a processor for executing the program. The program may compare collected data acquired from wireless communication infrastructure with positioning data measured by a positioning target terminal and thereby extract matching feature points; create a fingerprint database of global grid cells, including uncollected points, for the extracted feature points in real time; and estimate the optimal composite location of the positioning target terminal based on the created fingerprint database.

Abstract: Disclosed herein are an apparatus and method for precise positioning based on deep learning. The method performed by the apparatus includes setting a collection location and a collection environment, collecting wireless signal data based on the collection location and the collection environment, generating a magnitude map image for training from the wireless signal data, and generating a positioning DB model by learning the image characteristics of the magnitude map image for training through deep-learning-based training.

Abstract: A computing device loads signal strengths of wireless communication signals collected at a plurality of first collection areas and position information of the first collection areas, sets positions of a plurality of virtual transmitting apparatuses. The computing device estimates signal strengths of wireless communication signals in a plurality of second collection areas based on a distance between a position of each of the virtual transmitting apparatuses and each of the first collection areas, a signal strength collected at each of the first collection areas, and a distance between a position of each of the virtual transmitting apparatuses and each of the second collection areas. The computing device determines an optimal virtual transmitting apparatus among the virtual transmitting apparatuses, and generates positioning data at the second collection areas based on signal strengths in the second collection areas which are estimated based on a position of the optimal virtual transmitting apparatus.

Abstract: An apparatus for creating a link-type grid fingerprint database includes a collected data processing unit for receiving positioning resource information collected from a link, which represents a path along which a pedestrian can move in an indoor space, and storing the positioning resource information in a collection DB, and a database creation unit for creating a link-type fingerprint database based on the positioning resource information and information about the link, stored in the collection DB, and storing the created link-type grid fingerprint database in a positioning DB.

Abstract: Provided are a method of recognizing an emotion of a driver and an apparatus using the same. The method includes receiving emotion recognition information including at least one of vehicle state information and driver emotion state information, determining whether a dominant emotion state exists among one or more emotion states possessed by the driver on the basis of the emotion recognition information and an emotion recognition model, and performing a reaction inducing interaction with respect to the driver determined on the basis of the determined dominant emotion state together with the driver when the dominant emotion state of the driver is determined to exist.

Abstract: Disclosed herein are a user-participation data selection apparatus and method for updating a positioning infrastructure DB. The user user-participation data selection apparatus includes a data communication unit for transmitting and receiving user-participation data, a movement path reconstruction unit for reconstructing an entire information movement path corresponding to the user-participation data using all information included in the user-participation data, a reliability calculation unit for calculating reliability corresponding to the entire information movement path, and a data selection unit for selecting update-use data for updating a positioning infrastructure DB based on the reliability.

Abstract: Disclosed herein are a location estimation apparatus and method using a combination of different positioning resources. The location estimation apparatus includes a motion model generation unit for generating a motion model corresponding to a state variable of a terminal based on a current time, a weight calculation unit for extracting a dynamic location database (DB) from a location DB based on multiple pieces of measurement information received from the terminal, and calculating a weight proportional to a likelihood of the multiple pieces of measurement information based on the dynamic location DB, and a location estimation unit for estimating a location and direction of the terminal by applying the weight to at least one sample value corresponding to the motion model.

Abstract: A user participation-based measurement information utilization system and a user participation-based measurement information utilization server and method.

Abstract: Disclosed herein are a location estimation apparatus and method using a combination of different positioning resources. The location estimation apparatus includes a motion model generation unit for generating a motion model corresponding to a state variable of a terminal based on a current time, a weight calculation unit for extracting a dynamic location database (DB) from a location DB based on multiple pieces of measurement information received from the terminal, and calculating a weight proportional to a likelihood of the multiple pieces of measurement information based on the dynamic location DB, and a location estimation unit for estimating a location and direction of the terminal by applying the weight to at least one sample value corresponding to the motion model.

Abstract: A user participation-based measurement information utilization system and a user participation-based measurement information utilization server and method.

Abstract: An apparatus for creating a link-type grid fingerprint database includes a collected data processing unit for receiving positioning resource information collected from a link, which represents a path along which a pedestrian can move in an indoor space, and storing the positioning resource information in a collection DB, and a database creation unit for creating a link-type fingerprint database based on the positioning resource information and information about the link, stored in the collection DB, and storing the created link-type grid fingerprint database in a positioning DB.

Abstract: An apparatus and method for providing a multi-angle viewing service, in which main broadcast content is transmitted to a main terminal and multi-angle content are transmitted to a personal terminal, are disclosed. The apparatus for providing a multi-angle viewing service includes an encoder unit configured to receive videos captured at a plurality of different angles from a plurality of cameras, and to generate a plurality of elementary streams, a broadcast transmission unit configured to transmit broadcast content generated based on the plurality of elementary streams through a broadcasting network, and a multi-angle streaming unit configured to generate a plurality of pieces of multi-angle content corresponding to the broadcast content based on the plurality of elementary streams, and to transmit one of the plurality of pieces of multi-angle content to a personal terminal through a network based on a request signal from the personal terminal.

Abstract: In a multi-angle view processing apparatus, main-view data and at least one multi-angle view datum are received and processed through via one identical apparatus, and the main-view data and the at least one multi-angle view datum are separated into main images and sub images to be separately provided to different apparatuses, and as a result, seamless multi-angle view images selected by a user may be viewed with optimal resolution.