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.

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: An electrophotographic photoreceptor, including a photosensitive layer formed on an electroconductive substrate. The photosensitive layer includes a charge-generating material and an electron-transporting material, and the electron-transporting material includes first and second electron-transporting materials. A difference in lowest unoccupied molecular orbital (LUMO) energy between the first electron-transporting material and the charge-generating material is in a range from 1.0 to 1.5 eV, and a difference in LUMO energy between the second electron-transporting material and the charge-generating material is in a range from 0.6 to 0.9 eV. A ratio of mass of the second electron-transporting material to a total of mass of the first electron-transporting material and the mass of the second electron-transporting material is in a range from 3 to 40%.

Abstract: A processing device allocates processing resources to a communication processing and an application processing and executes at least the communication processing and the application processing. The processing device includes: a communication interface and at least one processor that operates to execute a scheduling processing that allocates communication processing resources that are at least a part of the processing resources to the communication processing in a preferential manner and a billing processing that bills a user of the application processing according to a usage amount of processing resources used for the application processing. The application processing includes a non-priority application processing processable in a non-preferential manner. The scheduling processing is capable of allocating, when a load on the communication processing resources does not reach a predetermined threshold, the communication processing resources to the non-priority application processing.

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 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: The present invention is an apparatus for creating an index for conducting a search on a database based on a resource including a text sentence.

Abstract: A moving body tracking system more efficiently identifies a moving body sending a particular radio wave, by including a memory that stores a set of instructions; and at least one processor configured to execute the set of instructions to identify, when a feature value of a radio wave received by a terminal is registered in a database, a moving body sending the radio wave, based on a plurality of images captured by the terminal and associated with the feature value of the radio wave.

Abstract: A photoreceptor for electrophotography, a method for manufacturing the photoreceptor, and an electrophotographic device including the photoreceptor are disclosed. The photoreceptor for electrophotography includes a conductive substrate; and a photosensitive layer that is provided on the conductive substrate and that has an outermost surface layer containing at least a resin binder and an electron transport material. The resin binder is composed of a polyarylate resin having a structural unit represented by a Chemical Structural Formula 1, and the electron transport material is composed of a compound having a structure represented by a Structural Formula (ET2-3). The photoreceptor has high sensitivity, low residual electric potential, no light fatigue and sufficient stain resistance.

Abstract: An electrophotographic photoreceptor, including a photosensitive layer formed on an electroconductive substrate. The photosensitive layer includes a charge-generating material and an electron-transporting material, and the electron-transporting material includes first and second electron-transporting materials. A difference in lowest unoccupied molecular orbital (LUMO) energy between the first electron-transporting material and the charge-generating material is in a range from 1.0 to 1.5 eV, and a difference in LUMO energy between the second electron-transporting material and the charge-generating material is in a range from 0.6 to 0.9 eV. A ratio of mass of the second electron-transporting material to a total of mass of the first electron-transporting material and the mass of the second electron-transporting material is in a range from 3 to 40%.