Abstract: An abnormality detection apparatus according to an example embodiment includes a reception unit for receiving radio waves, a feature amount extraction unit for extracting a plurality of feature amounts in a predetermined frequency band from the received radio waves, a recording unit for recording the plurality of extracted feature amounts and the frequency band in association with each other, and a processing unit for acquiring a plurality of feature amounts in a predetermined range from the plurality of accumulated feature amounts, determining whether or not the acquired feature amounts fall within a preset normal range, and generating, based on a result of the determination, an abnormality determination mask, threshold values for the plurality of feature amounts, in order to detect an abnormality of the radio waves being set in the abnormality determination mask.

Abstract: An antenna system for vehicles includes a first antenna attached in a vicinity of a windshield of a vehicle; and a second antenna attached in a vicinity of a rear glass of the vehicle, wherein the first antenna and the second antenna are configured to transmit and receive an electromagnetic wave in a predetermined frequency band F, and wherein defining a region A and a region B with respect to a vehicle center axis extending in a traveling direction of the vehicle, so as to bisect a vehicle width of the vehicle from a viewpoint in a direction normal to a horizontal plane, the first antenna is arranged in the region A, and the second antenna is arranged in the region B.

Abstract: An object quantity estimation system 100 includes: a terminal path estimation unit 20 configured to estimate the traveling paths of wireless terminals; an actual quantity-of-people counting unit 30 configured to count the actual quantity of people that are located in each of the fixed points; a terminal detection rate calculation unit 40 configured to calculate the terminal detection rate that indicates a relationship between the quantity of the wireless terminals and the actual quantity of people, for each of the fixed points; and an actual quantity-of-people estimation unit 50 configured to determine priorities of the traveling paths, each of which passes at least one of the fixed points, and sequentially estimate the actual quantity of people having traveled on each traveling path, in descending order of the priorities of the traveling paths, based on the terminal detection rates.

Abstract: A terminal number estimating system includes: a plurality of receivers that receive a wireless signal transmitted from a plurality of terminal devices by frequency-division multiple access; a Fourier transform unit that performs a discrete Fourier transform on each wireless signal received by the plurality of reception means and outputs a discrete Fourier coefficient; and a terminal number estimation unit that estimates a position of each terminal device by clustering a resource block of each wireless signal based on each discrete Fourier coefficient.

Abstract: A radio wave anomaly detection system outputs a detection result about a radio wave anomaly that is included in received data and has been detected using a first feature that is a feature extracted from the received data every first predetermined time period, and a second feature that is a feature extracted from the received data every second predetermined time period longer than the first predetermined time period.

Abstract: The present invention provides a document display assistance system which estimates and highlights significant words in a document of a specific field. The system comprises: a database in which selection-target words and non-selection-target words are registered; a learned word-selection model having been applied with machine learning for estimating whether a word is a selection-target word; a text pre-processing unit which segments words from an accepted display-target document; a word classification unit which classifies, based on the database, the word into any of a selection-target word, a non-selection-target word, and an indeterminate word; a text post-processing unit which generates output data by imparting a predetermined attribute to a predetermined word in the display-target document; and an output unit which outputs the output data.

Abstract: A display control method includes displaying a first small image generated by shrinking a first image generated by an application program, on an actual display provided in an output device, receiving an operation on the first small image, drawing, on a virtual display, a second image generated by the application program executing processing corresponding to the operation on the first small image, displaying the second image drawn on the virtual display, using a display device, and displaying a second small image generated by shrinking the second image, on the actual display.

Abstract: A wireless terminal detection system provided with user position information acquisition means for measuring a position of a reception-side wireless terminal; pattern classification means for classifying movement patterns extracted from position history information of the reception-side wireless terminal into ordinary patterns and non-ordinary patterns based on classification results in which the movement patterns are classified in accordance with times and positions; and determination means for determining whether a transmission-side wireless terminal, which is a transmission source of radio waves received by the reception-side wireless terminal, is a suspicious terminal based on a reception history of radio waves from the transmission-side wireless terminal in time intervals classified as the non-ordinary patterns.

Abstract: A wireless terminal detection system provided with a radio wave identification unit that extracts identification information in accordance with the wireless terminals that are transmission sources; a radio wave intensity measurement unit that measures radio wave intensities of the radio waves; a distance estimation unit that estimates an attenuation rate of the radio wave intensities with respect to distance based on a number of the wireless terminals, and that estimates distances to the individual wireless terminals based on the estimated attenuation rate; and a notification unit that notifies a user that a suspicious wireless terminal has been detected if, based on the identification information, a wireless terminal among the radio wave transmission sources is determined to be registered as a suspicious wireless terminal, and the estimated distance to the wireless terminal among the radio wave transmission sources is not more than a prescribed distance.

Abstract: A location estimation system includes: a first location estimating unit configured to estimate first location information related to a target object; a second location estimating unit configured to estimate second location information related to a target object; an association determining unit configured to determine association between the target object whose location is estimated from the first location information and the target object whose location is estimated from the second location information, based on the first location information and the second location information; a weight calculating unit configured to calculate correct location information of the target object and weighting information of the correct location information, based on accuracy information of the second location information and determination results of the association; and a parameter updating unit configured to update a parameter for estimating the first location information, based on the correct location information and the weig

Abstract: A transmission apparatus recognition apparatus includes a storage unit that stores K sets of template feature groups for estimating K (an integer of 2 or more) kinds of information indicative of a transmission apparatus, a degree-of-similarity calculation unit that generates an i (an integer of 1 to K)-th sample feature from a radio feature, and calculates an i-th degree-of-similarity group, based on the i-th sample feature and an i-th set of the template feature group, a summed degree-of-similarity calculation unit that calculates a summed degree of similarity by summing K degrees of similarity by using an i-th weighting factor with respect to 1 to K of i, and an estimation unit that estimates that K information pieces, which are correlated in advance with calculation sources of K degrees of similarity having the summed degree of similarity that is highest, are information indicative of the transmission apparatus.

Abstract: An appropriate time is set as an acquisition period during which a reception data sequence for extracting a frame feature value is acquired. A radio frame analysis system includes a transmission node number count unit that counts the number of transmission nodes from a reception data sequence, an acquisition period calculation unit that calculates an acquisition period based on a result of the counting by the transmission node number count unit, and a frame feature value extraction unit that extracts a frame feature value of each of the transmission nodes from the reception data sequence received in the acquisition period.

Abstract: A radio frame analysis system includes: an analysis unit that analyzes a network configuration by performing clustering processing on a frame feature value; a distance calculation unit that calculates a distance between clusters obtained by the clustering processing; a reliability determination unit that determines reliability of a result of the clustering processing based on the distance between the clusters; an output unit that outputs a result of the analysis performed by the analysis unit; and an output timing change unit that changes a timing at which the output unit outputs the result of the analysis by changing the number of samples of the frame feature value required to output the result in accordance with the reliability.

Abstract: Provided is a transmitter identifying apparatus configured to receive signals from terminals, extract a feature from the received signal, learn a first feature of the signal that is known as a signal received from a terminal to be discriminated, generate a first classifier for discriminating the terminal to be discriminated, input to the first classifier a second feature of the signal that is unknown whether the signal is received from the terminal to be discriminated, calculate a likelihood distribution representing likelihood for each terminal, analyze the likelihood distribution, determine whether to apply a tentative label to the second feature, and apply the tentative label to the second feature, based on a result of the analysis.

Abstract: A system includes a first analysis apparatus, a second analysis apparatus, and a sensor fusion apparatus. The individual analysis apparatuses analyze outputs of their respective sensors and generate preciseness information about preciseness of the positions of their respective objects. The sensor fusion apparatus calculates the distance between a determination target object and an association candidate object per directional axis that is determined from a position of a sensor corresponding to the determination target object. The sensor fusion apparatus normalizes the distance calculated per directional axis by using the preciseness information corresponding to the determination target object. The sensor fusion apparatus calculates the distance between the determination target object and the association candidate object by using the distance normalized per directional axis as a post-normalization distance.

Abstract: A modulation format estimation device 100 includes: a frequency shift correction unit 112 configured to estimate the amount of a frequency shift using a baseband signal acquired from a received signal and correct the baseband signal based on an estimation result; a frequency error generation unit 122 configured to generate a plurality of frequency errors from a range set based on an error occurring in the estimation of the frequency shift amount; a frequency error introduction unit 123 configured to acquire learning baseband signals in which each of a plurality of source signals modulated by different modulation formats is frequency-shifted by each frequency error; and a modulation format estimation unit 113 configured to input a corrected baseband signal to a first machine learning model created by machine learning using learning data including the plurality of learning baseband signals and a label, and estimate a modulation format of the received signal.

Abstract: Provided is a navigation server or the like capable of improving a convenience for trip planning by a user of a navigation client. The user can designate, on the navi-client 2, a plurality of topics from among the plurality of topics TPX0(k) in the designated area ROI, as the primary designated topics TPX1(i) and further as the secondary designated topics TPX2(j). Then, on the navi-client 2, the guide information can be output for guiding the plurality of POI(j) corresponding to the plurality of secondary designated topics TPX2(j) in the order which is basically defined in accordance with the correlation rule among the designated topics TPX2(j).

Abstract: The present invention is designed to make it possible to draw proper associations, when integrating pieces of information estimated in individual sensors, by associating between objects sensed by a plurality of sensors. A sensor information integration system 101 includes a radio frame analyzing section 33 configured to analyze a radio frame transmitted from a first object, to extract the first attribute information, an image analyzing section 40 configured to analyze an image, in which a second object is sensed, to extract second attribute information, and an association judging section 21 configured to judge an association between the first object and the second object, using the first attribute information and the second attribute information.

Abstract: An apparatus for estimating the number of people according to the present disclosure includes at least one memory configured to store an instruction and at least one processor configured to execute the instruction, the memory and the processor being configured to group signals of terminals acquired within a predetermined time, extract first identifiers of the terminals from the signals included in the group, classify the first identifiers into first identifiers assigned to a global network and those assigned to a local network, count the first identifiers assigned to the global network, and estimate the number of people by using the number of the first identifiers assigned to the global network.

Abstract: A terminal number estimating system includes: a plurality of receivers that receive a wireless signal transmitted from a plurality of terminal devices by frequency-division multiple access; a Fourier transform unit that performs a discrete Fourier transform on each wireless signal received by the plurality of reception means and outputs a discrete Fourier coefficient; and a terminal number estimation unit that estimates a position of each terminal device by clustering a resource block of each wireless signal based on each discrete Fourier coefficient.