Abstract: Provided are an inter prediction method and a motion compensation method. The inter prediction method includes: performing inter prediction on a current image by using a long-term reference image stored in a decoded picture buffer; determining residual data and a motion vector of the current image generated via the inter prediction; and determining least significant bit (LSB) information as a long-term reference index indicating the long-term reference image by dividing picture order count (POC) information of the long-term reference image into most significant bit (MSB) information and the LSB information.

Abstract: In the case of a gas in which several gases are mixed, a type and concentration of the gas may be incorrectly measured when measured using only an optical band-pass filter. The invention of the present application is directed to providing a technology in which a plurality of broadband band-pass filters having overlapping regions are provided to calculate a magnitude of absorption for each wavelength band for light passing through each broadband band-pass filter, thereby identifying the presence of a gas of interest and the presence of a gas other than the gas of interest.

Abstract: A method, apparatus and system are disclosed for the measuring directly in units of force or mass huge load of form 10 to 1000 tons or more. The system includes a unique load carrying member to which the huge load is applied and based on readings of three types of ultrasonic waves and the change in the dimensions of the load carrying member it is able to directly calculate the force in units of newtons or units of mass in kilograms of the applied load.

Abstract: A method for object position estimation based on a magnetic field using an underwater sensor network, includes: step of receiving a magnetic field signal that is emitted from an underwater moving object using an underwater sensor network which is configured with a plurality of magnetic field sensors in the water; step of extracting an induced magnetic field signal by removing a geomagnetic field and a noise signal from the received magnetic field signal; step of determining whether or not the moving object enters the underwater sensor network using the induced magnetic field signal; and step of estimating a position of the object using position information of the plurality of sensors that sense the object if it is determined that the object enters the underwater sensor network.

Abstract: The present invention relates to a test node-based wireless positioning method and a device thereof, the method comprising the steps of mapping and storing the number and position coordinates of anchor nodes, which are within a set distance from a test node, for each of a plurality of test nodes set at uniform intervals in a space formed by a plurality of anchor nodes; acquiring each position coordinate of the anchor nodes, which are within the set distance from a unknown node to be positioned; comparing each of the acquired position coordinates of the anchor nodes and the position coordinates of the anchor node mapped on the test nodes, so as to select the test nodes of which the number of position coordinates coinciding with the anchor nodes greater than a threshold; and estimating the position of the unknown node by using the position coordinates of the selected test nodes.

Abstract: The present invention relates to a test node-based wireless positioning method and a device thereof, the method comprising the steps of mapping and storing the number and position coordinates of anchor nodes, which are within a set distance from a test node, for each of a plurality of test nodes set at uniform intervals in a space formed by a plurality of anchor nodes; acquiring each position coordinate of the anchor nodes, which are within the set distance from a unknown node to be positioned; comparing each of the acquired position coordinates of the anchor nodes and the position coordinates of the anchor node mapped on the test nodes, so as to select the test nodes of which the number of position coordinates coinciding with the anchor nodes greater than a threshold; and estimating the position of the unknown node by using the position coordinates of the selected test nodes.

Abstract: A method for object position estimation based on a magnetic field using an underwater sensor network, includes: step of receiving a magnetic field signal that is emitted from an underwater moving object using an underwater sensor network which is configured with a plurality of magnetic field sensors in the water; step of extracting an induced magnetic field signal by removing a geomagnetic field and a noise signal from the received magnetic field signal; step of determining whether or not the moving object enters the underwater sensor network using the induced magnetic field signal; and step of estimating a position of the object using position information of the plurality of sensors that sense the object if it is determined that the object enters the underwater sensor network.

Abstract: Disclosed is a cooperative spectrum sensing system using sub-Nyquist sampling, which include: a plurality of secondary user terminals for detecting a frequency band occupied by a primary user terminal; and a fusion center, wherein each of the secondary user terminals may include: a receiving unit for receiving signals from the primary user terminal; a sampling unit for performing the sub-Nyquist sampling for the received signals at a predetermined down-sampling rate; an energy-detecting unit for detecting the frequency band occupied by the primary user terminal by detecting energy for the sampled signals; and a calculating unit for calculating a correct detection probability and a false alarm probability for the frequency band occupied by the primary user terminal by using spectrum of the frequency band, and for transmitting results of calculation to the fusion center.

Abstract: Disclosed is a cooperative spectrum sensing system using sub-Nyquist sampling, which include: a plurality of secondary user terminals for detecting a frequency band occupied by a primary user terminal; and a fusion center, wherein each of the secondary user terminals may include: a receiving unit for receiving signals from the primary user terminal; a sampling unit for performing the sub-Nyquist sampling for the received signals at a predetermined down-sampling rate; an energy-detecting unit for detecting the frequency band occupied by the primary user terminal by detecting energy for the sampled signals; and a calculating unit for calculating a correct detection probability and a false alarm probability for the frequency band occupied by the primary user terminal by using spectrum of the frequency band, and for transmitting results of calculation to the fusion center.

Abstract: The present invention relates to a virtual radio map constructing method for Radio-positioning and a device using the same. An exemplary embodiment of the present invention provides a virtual radio map constructing method, including: converting first and second RSS values obtained from two access points adjacent to each of a plurality of access points into first and second RSS values of a linear unit; respectively dividing first and second distances between the access point and the two access points adjacent thereto in an exponential interval, and respectively dividing the first and second RSS values in the exponential interval; generating a plurality of virtual training points by using a plurality of points divided in the exponential interval, and respectively obtaining RSS values of the plurality of virtual training points; and respectively obtaining RSS values of reference points by using RSS values of at least one virtual training points.

Abstract: Disclosed is a method for determining an indoor location which includes receiving signals including IDs and information on floors from a plurality of APs that is provided at floors of the multi-story building; measuring reception signal strengths of the received signals, and selecting candidate floors by using the measured reception signal strengths; predicting reception signal strengths of the other candidate floors by using the reception signal strengths of the APs provided at the respective candidate floors; and calculating variance values for the reception signal strengths of the candidate floors, and estimating a current location by using the variance values.

Abstract: A wireless localization method using a fingerprinting technique that performs localization by using a plurality of access points and a plurality of sample points arranged at regular distances, the wireless localization method includes: detecting first through third sample points adjacent to a predetermined node from among the plurality of sample points via the fingerprinting technique; calculating corrected coordinates by using a received signal strength (RSS) between the predetermined node and the first sample point, an RSS value between the predetermined node and the second sample point, an RSS value between the first and second sample points, an RSS value between the first and third sample points, and a distance between the plurality of sample points; and estimating a location of the predetermined node by reflecting the corrected coordinates on coordinates of the first sample point.

Abstract: Provided is a wireless positioning method using a wireless sensor network, for estimating a position of an unknown node that is a positioning target by using a plurality of anchor nodes arranged at regular intervals, the wireless positioning method including: setting a plurality of test nodes at regular intervals on a space formed by some of the plurality of anchor nodes; obtaining a number and position information of anchor nodes within a predetermined distance from the unknown node; detecting at least one test node matching the obtained number and position information; and estimating a position of the unknown node by calculating an average coordinate value of the detected at least one test node.

Abstract: Disclosed is a method for determining an indoor location which includes receiving signals including IDs and information on floors from a plurality of APs that is provided at floors of the multi-story building; measuring reception signal strengths of the received signals, and selecting candidate floors by using the measured reception signal strengths; predicting reception signal strengths of the other candidate floors by using the reception signal strengths of the APs provided at the respective candidate floors; and calculating variance values for the reception signal strengths of the candidate floors, and estimating a current location by using the variance values.

Abstract: Provided is a wireless positioning method using a wireless sensor network, for estimating a position of an unknown node that is a positioning target by using a plurality of anchor nodes arranged at regular intervals, the wireless positioning method including: setting a plurality of test nodes at regular intervals on a space formed by some of the plurality of anchor nodes; obtaining a number and position information of anchor nodes within a predetermined distance from the unknown node; detecting at least one test node matching the obtained number and position information; and estimating a position of the unknown node by calculating an average coordinate value of the detected at least one test node.

Abstract: A wireless localization method using a fingerprinting technique that performs localization by using a plurality of access points and a plurality of sample points arranged at regular distances, the wireless localization method includes: detecting first through third sample points adjacent to a predetermined node from among the plurality of sample points via the fingerprinting technique; calculating corrected coordinates by using a received signal strength (RSS) between the predetermined node and the first sample point, an RSS value between the predetermined node and the second sample point, an RSS value between the first and second sample points, an RSS value between the first and third sample points, and a distance between the plurality of sample points; and estimating a location of the predetermined node by reflecting the corrected coordinates on coordinates of the first sample point.