Canon Kabushiki Kaisha

Nec Corporation

Xcoo Inc.

Honda Motor Co., Ltd.

Kao Corporation

The University of Tokyo

Toshiki Takeuchi

Kengo Nieda

Koichiro Kawaguchi

Ryosuke Sato

Masato Izumi

Kenji Shigeno

Yasuhiko Ikeda

Masahito Yoshida

Hiroyuki Igura

Susumu Hirosawa

Taichi Ohtsuji

Haruo Uchida

Atsushi Sakamoto

Futoshi Hirose

Takashi Aoki

Jun Sakai

Satoshi Masuda

Nobuhiro Toki

Masaki Kitsunezuka

Atsushi Takahashi

Yoshiaki Takayanagi

Kazushi Muraoka

Satoshi Kondo

Satoshi Azuma

Naoto Ishii

Tetsuhiro Nitta

Noriyuki Sugiyama

Takeshi Murase

Masahiro Sugimoto

Takaaki Ishida

Shoji Nishimura

Kota Uchida

Yasufumi Hirakawa

Atsuo Yamada

Yoshiaki Kaburagi

Shigeru Toriihara

Kunihiro Nishimura

Kenji Sugiyama

Yusuke Nakaya

Kiyohiko Takahashi

Kazuya Koizumi

Hideo Horigome

Kohei Fukui

Ippei Tsushima

Koichi Akabe

Yuichiro Yanagi

Hiroyuki Onimaru

Yasutaka Mitani

Eiten Chin

Toshiharu Numata

Keiji Harada

Takayuki Tanabe

Yosuke Ushigome

Yusuke Kadokura

Yutaka Nakama

Kohei Okada

Umihiko Ito

Kenji Kouno

Hiroyuki Akiba

Satomi Sakata

Yuki Ban

Tomohiro Tanikawa

Michitaka Hirose

Atsuchi Sakamoto

Takuji Narumi

Masato Nomiyama

Kaoru Kishimoto

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.

Radio wave anomaly detection system, radio wave anomaly detection method, and non-transitory computer readable medium storing radio wave anomaly detection program

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.

Abnormality detection apparatus, abnormality detection method and non-transitory computer readable medium

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. The apparatus comprises: a dictionary that includes a plurality of phrases associated with each other for each specific concept; an input interface unit that receives an input of the resource; a text processing unit that performs processing for extracting a plurality of words, as tokens, from the text sentence in the received resource; a directed graph generation unit that generates a directed graph representing a connection relationship between the extracted plurality of tokens in accordance with the text sentence; a directed graph search unit that conducts a search on the directed graph based on a search-target-phrase and that, if the search-target-phrase is found in the dictionary, locates a location in the directed graph where the search-target-phrase appeared; and an index creation unit that creates an index indicating association with the resource based on the plurality of tokens in the directed graph.

Information search system and information search method using index

A control device configured to predict prediction information based on in-operation time-series data with use of a learning device, the learning device being trained, during training, (i) with time-series data, using as training data, in which pieces of radio quality information of respective antennas that are disposed in a distributed manner and that perform wireless communications with a terminal device are arranged in time series, and (ii) with assignment information, using as training data, that includes information about the antenna assigned, from the training data, to the wireless communications after a predetermined length of time, wherein the in-operation time-series data being the time-series data acquired during operation, and the prediction information including information about the antenna to be assigned, from the in-operation time-series data, to the wireless communications after the predetermined length of time.

Control device, wireless communications system, and non-transitory computer-readable medium

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.

Wireless terminal detection system, wireless terminal detection device, wireless terminal detection method, and storage medium having program stored therein

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. If a label is estimated indicating that the indeterminate word classified by the word classification unit is a selection-target word, the word selection model classifies the indeterminate word into a selection-target word and the text post-processing unit imparts the predetermined attribute to the classified selection-target word.

Document display assistance system, document display assistance method, and program for executing said method

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.

Transmission apparatus recognition apparatus, learning apparatus, transmission apparatus recognition method, and, learning method

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 systemincludes a radio frame analyzing sectionconfigured to analyze a radio frame transmitted from a first object, to extract the first attribute information, an image analyzing sectionconfigured to analyze an image, in which a second object is sensed, to extract second attribute information, and an association judging sectionconfigured to judge an association between the first object and the second object, using the first attribute information and the second attribute information.

Sensor information integration system, sensor information integration method, program, and recording medium

A signal detection unit detects, from a baseband signal of a received radio wave, two types of fixed signal sections that have different communication information and are present in sufficiently shorter time than a time period in which influence of fading fluctuates, and designate the detected two types of fixed signal sections as an information-1 section and an information-2 section. An information-1 section signal processing unit clips the information-1 section from the baseband signal, and performs Fourier transform on the clipped information-1 section. An information-2 section signal processing unit clips the information-2 section from the baseband signal, and performs Fourier transform on the clipped information-2 section. A feature value computation unit computes a feature value, based on an output of the information-1 section signal processing unit and an output of the information-2 section signal processing unit.

Radio wave feature value computation apparatus, radio wave emission source identification apparatus, and method therefor

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.

Radio frame analysis system, radio frame analysis method, and program

A modulation format estimation deviceincludes: a frequency shift correction unitconfigured 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 unitconfigured 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 unitconfigured 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 unitconfigured 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.

Modulation format estimation device, and modulation format estimation method

An object quantity estimation systemincludes: a terminal path estimation unitconfigured to estimate the traveling paths of wireless terminals; an actual quantity-of-people counting unitconfigured to count the actual quantity of people that are located in each of the fixed points; a terminal detection rate calculation unitconfigured 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 unitconfigured 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.

Object quantity estimation system, object quantity estimation method, program, and recording medium

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.

Terminal number estimating system, terminal specifying system, terminal number estimating device, terminal number specifying device, and processing method

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.

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Tokyo, Japan

Toshiki Takeuchi