A target distance estimation device includes: a multipath composite wave signal generation unit that generates a multipath composite wave signal that is a simulation signal of a composite wave of a direct wave and a multipath wave received by a reception antenna in a case where a provisional target distance, which is a provisional target distance from a radio source to a radio wave detection device, is set; and a target distance estimation unit that estimates a target distance from the radio wave detection device to the radio source on the basis of a correlation between the reception signals and the multipath composite wave signal generated by the multipath composite wave signal generation unit.

A target distance estimation device includes: a multipath composite wave signal generation unit that generates a multipath composite wave signal that is a simulation signal of a composite wave of a direct wave and a multipath wave received by a reception antenna in a case where a provisional target distance, which is a provisional target distance from a radio source to a radio wave detection device, is set; and a target distance estimation unit that estimates a target distance from the radio wave detection device to the radio source on the basis of a correlation between the reception signals and the multipath composite wave signal generated by the multipath composite wave signal generation unit.

A system and method for proximity determination can include receiving an RF signal transmitted from a target location, the receiving performed by an antenna of an autonomous moving device, extracting received signal strength indicator (RSSI) values by processing the received RF signal, receiving distance measurements provided by a sensor associated with the autonomous moving device and storing the distance measurements in the memory of the autonomous device. The extracted RSSI values can be correlated the with the distance measurements to obtain a proximity value. A distance to the target location can be determined based on the proximity values.

A system and method for proximity determination can include receiving an RF signal transmitted from a target location, the receiving performed by an antenna of an autonomous moving device, extracting received signal strength indicator (RSSI) values by processing the received RF signal, receiving distance measurements provided by a sensor associated with the autonomous moving device and storing the distance measurements in the memory of the autonomous device. The extracted RSSI values can be correlated the with the distance measurements to obtain a proximity value. A distance to the target location can be determined based on the proximity values.

Disclosed is a method for improving affinity of an antibody for an antigen, comprising, in an unmodified antibody, improving affinity for an antigen as compared to the unmodified antibody, by changing 77th, 79th and 81st amino acid residues of a light chain defined by Kabat method to charged amino acid residues.

A server device includes: a first receiver to receive, from a settlement terminal, settlement identification information for identifying a settlement method by which the settlement terminal makes a settlement, and portable terminal identification information for identifying portable terminals located within a predetermined distance, the portable terminal identification information being included in a radio wave sent out, and intensity information representing a radio wave intensity of the radio wave received by the settlement terminal; a correlation unit to correlate the portable terminal identification information corresponding to the intensity information of the highest radio wave intensity received by the first receiver, with the settlement identification information; a memory controller to store, in a memory, settlement record information that correlates the settlement identification information with the portable terminal identification information; and an estimation unit to estimate a settlement method used on a per portable terminal basis, based on pieces of the settlement record information stored in the memory.

A server device includes: a first receiver to receive, from a settlement terminal, settlement identification information for identifying a settlement method by which the settlement terminal makes a settlement, and portable terminal identification information for identifying portable terminals located within a predetermined distance, the portable terminal identification information being included in a radio wave sent out, and intensity information representing a radio wave intensity of the radio wave received by the settlement terminal; a correlation unit to correlate the portable terminal identification information corresponding to the intensity information of the highest radio wave intensity received by the first receiver, with the settlement identification information; a memory controller to store, in a memory, settlement record information that correlates the settlement identification information with the portable terminal identification information; and an estimation unit to estimate a settlement method used on a per portable terminal basis, based on pieces of the settlement record information stored in the memory.

An application running on a UE receives a command through a user interface or from a server to initiate the locating of a tracking device. The tracking device determines one or more hot spots it is close to. A server determines whether to instruct the tracking device to use its GNSS circuitry to determine its location based on a comparison of location information corresponding to the hot spot(s) and user selectable accuracy criteria. The UE may detect a beacon signal and determine an initial value corresponding to an initial signal strength of the beacon. The beacon may only broadcast for a predetermined period based on location scenario. The application produces a default initial indication, based on the initial signal strength and uses updated beacon signal strength values to adjust the indication relative to the default indication based on the updated signal strength value relative to the initial signal strength value

One example discloses a near-field positioning device, including: an input interface configured to receive a set of body-parameters from a user; a controller configured to generate a set of recommended positions for a set of near-field wireless devices to be coupled to the user based on the body-parameters; and an output interface configured to output the recommended positions.

One example discloses a near-field positioning device, including: an input interface configured to receive a set of body-parameters from a user; a controller configured to generate a set of recommended positions for a set of near-field wireless devices to be coupled to the user based on the body-parameters; and an output interface configured to output the recommended positions.