Nec Corporation

Shigeki Shinoda

Yasuhiro Sasaki

Shin Tominaga

Hirofumi Inoue

Masatake Takahashi

Yuzo Senda

Junichiro Mataga

Shohei Kinoshita

Daisuke Ikefuji

Soichiro Takata

Katsumi Kikuchi

Yoshihiro Sato

Kenichi Ishii

Shoji Nishimura

Shinya Yamasaki

Gaku Nakano

Masumi Ishikawa

Nobuhiro Mikami

Shota Yamamoto

Takahiro Kumura

Shigeru Sekine

Hiromi Yamamoto

Kana Takizawa

Yoshiyuki Satou

Youtarou Noda

Yoshitaka Higeta

Narumitsu Notomi

Aki Nakamura

Eishi Arita

Tetsuya Yoshinari

Katsumi Abe

Yukio Murata

Yasuharu Onishi

Jun Kuroda

Shigeru Kasai

Ukyo Mori

Daisuke Iketuji

Hideki Kadosawa

Kanta Miyake

A prediction deviceof the present invention includes a detection meansfor, on the basis of a river image that is an image obtained by capturing a river and associated with capturing position information representing a position where the river is captured, detecting river condition information representing a condition of the river at the position where the river image is captured; and a prediction meansfor, on the basis of the capturing position information, the river condition information, and topography information representing the topography of the river, predicting a river condition representing a condition of the river at a given point of the river. The given point is different from the position represented by the capturing position information.

Prediction method

An image processing apparatus () includes an image processing unit () and a risk information generation unit (). The image processing unit () acquires and processes an image generated by an image capture apparatus (), that is, an image including a plurality of persons. As an example, the image processing unit () sets a person being at least part of the plurality of persons as a reference person and computes a distance (first distance) between the reference person and the closest person to the reference person. By using the first distance, the risk information generation unit () generates infection risk information in a target region being an image capture target of the image capture apparatus ().

Image processing apparatus, image processing method, and non-transitory computer-readable medium

An activity support apparatus supports an activity of a worker at a disaster site. The activity support apparatus comprises a vibration data acquisition unit that acquires vibration data of vibrations generated by the worker, an activity level estimation unit that estimates an activity level of the worker based on the vibration data acquired by the vibration data acquisition unit, and a notification unit that notifies the activity level estimated by the activity level estimation unit.

Activity support apparatus, activity support method, and computer readable recording medium

An activity support apparatus supports an activity of a worker at a disaster site. The activity support apparatus comprises a position acquisition unit that acquires a position of the worker, a boundary data acquisition unit that acquires boundary data that indicates a boundary of a building at the disaster site, and an entry determination unit that determines whether the worker has entered the building based on the positions of the worker acquired at different timings and the boundary data.

An image processing apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions to process an image of a target region, and thereby compute a proximity index being an index relating to a proximity state of a plurality of persons captured in the image, and cause a predetermined apparatus to execute predetermined control, when the proximity index satisfies a criterion.

Image processing apparatus, image processing method, and non-transitory computer-readable storage medium

A control apparatus () computes a waiting time index value for each of a plurality of gates () for entering an area (). The control apparatus () detects, from among the plurality of gates (), a first gate () and a second gate () of which relation between the waiting time index values satisfies a first criterion. Herein, the waiting time index value of the first gate () is greater than the waiting time index value of the second gate (). The control apparatus () causes a terminal () associated with the first gate () to output priority use information, which allows prioritized use of the second gate ().

Control apparatus, control method, and non-transitory storage medium

A required time prediction apparatus (2000) acquires utilization facility information and assumed date and time information. The utilization facility information is information enabling to determine a departure facility and a destination facility. The assumed date and time information is information enabling to determine an assumed departure date and time assuming departure from the departure facility or an assumed arrival date and time assuming arrival at the destination facility. The apparatus (2000) estimates a waiting time at each facility being present between the departure facility and the destination facility, regarding a case of assuming departure from the departure facility at the assumed departure date and time, or a case of assuming arrival at the destination facility at the assumed arrival date and time. Then, the apparatus (2000) computes, based on the estimated waiting time, a predicted required time from departure from the departure facility to arrival at the destination facility.

Required time prediction apparatus, control method, and non-transitory storage medium

A fluid leakage diagnosing device includes: when fluid leakage relating to a pipeline is being diagnosed by employing adaptive signal processing to suppress a component of a disturbance vibration contained in a vibration measured at a prescribed location in the pipeline, an acquiring unit that acquires distribution information that is associated with a characteristic of the pipeline and represents an actual distribution result of a value of a parameter in the adaptive signal processing when performance of suppressing the component of the disturbance vibration satisfies a criterion; an estimating unit that, based on the distribution information, estimates a probability density at which the value of the parameter with which the performance satisfies the criterion exists; and a determining unit that, based on the probability density estimated by the estimating unit, determines a range to search for the value of the parameter in the adaptive signal processing.

Fluid leakage diagnosing device, fluid leakage diagnosing system, fluid leakage diagnosing method, and recording medium storing fluid leakage diagnosing program

A piping diagnostic device according to an exemplary aspect of the present invention includes: criteria distribution generating means for generating a criteria distribution that is statistical data of criteria data of piping based on construction information about the piping, design information about the piping, and material information about the piping; changed-state distribution generating means for generating a changed-state distribution that is statistical data of changed-state data of the piping that have changed due to aging based on at least either vibration or dynamic pressure of the piping that have changed due to aging; measurement means for measuring at least either vibration or dynamic pressure of the piping; and determining means for determining deterioration of the piping based on the criteria distribution, the changed-state distribution, and at least either vibration or dynamic pressure of the piping.

Piping diagnostic device, piping diagnostic method, discriminant-problem optimizing device, discriminant-problem optimizing method, criteria distribution generating device, criteria distribution generating method, and storage medium

To reduce erroneous determinations of detecting a leak, a measurement time determination device is provided with: a degree-of-ease calculation unit configured to calculate degree-of-ease of detecting a leak in piping, based on vibration propagating through the piping or a fluid flowing through the piping when the piping is vibrated; and a determination unit configured to determine a measurement time necessary for detecting the leak, based on the degree-of-ease.

Measurement time determination device, measurement time determination method, and computer-readable recording medium

A leakage inspection device according to an aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: determine a measurement time; measure vibration waveforms for the measurement time by using at least two sensors set to a pipe; calculate a cross-correlation function of the measured vibration waveforms; detect peaks of the cross-correlation function at least twice in the measurement time; and determine that leakage occurs in a case where the peaks are repeatedly detected in the measurement time.

Leakage inspection device, leakage inspection method, and storage medium

In a related fluid leakage detecting device, erroneous leakage determination may occur due to a change in a state of a fluid in piping. A leakage determination system of the present invention includes a first detection means for detecting a prescribed physical quantity indicating a state of a fluid in piping, a second detection means for detecting vibration propagating through the piping, and a leakage determination means for performing leakage determination based on the physical quantity detected by the first detection means and the vibration detected by the second detection means.

Leakage determination system and leakage determination method

Each functional configuring unit of a leak inspection device () operates in the manner that follows. A vibration acquisition unit () acquires a signal indicating tubing vibrations or vibrations propagated from tubing. A filtering unit () extracts a signal of a predetermined frequency band from the signal acquired by the vibration acquisition unit (). A characteristic value extraction unit () splits the signal extracted by the filtering unit () into predetermined time intervals, calculates for each split signal the absolute value of each extreme value of the magnitude of the signal, performs for each split signal a statistical process with respect to the calculated plurality of absolute values, and considers values calculated by the statistical process to be characteristic values. A leak determination unit () considers inspection results to indicate the presence of a leak when a determination index value stipulated using the characteristic values is greater than a predetermined threshold.

Leak inspection device, leak inspection method, and leak inspection program

A sensor device includes: a first sensor group () in which a plurality of first vibration sensors for detecting vibration acceleration in one direction with respect to an object to be detected are arranged to face the same direction; a phase difference calculation unit () which, based on a plurality of first signals indicating the vibration acceleration detected by each of the plurality of first vibration sensors included in the first sensor group (), calculates a first phase difference indicating the phase difference between the plurality of first signals; and an acceleration calculation unit () which, using the first phase difference and the plurality of first signals, calculates vibration acceleration in a first direction perpendicular to a surface on which the plurality of first vibration sensors are arranged, and vibration acceleration in a second direction parallel to the surface on which the plurality of first vibration sensors are arranged.

Sensor device, vibration detection system, sensor unit, information processing device, vibration detection method, and program

To provide a measuring device wherein a measurement range corresponding to a wave shape to be measured can be set with a simple configuration. A measuring device () has: a measuring unit that measures changes of indexes with time, said indexes relating to an object event; a conversion unit that converts a measurement value measured by means of the measuring unit into a predetermined format within a previously set measurement range; and a control unit that controls the measurement range. The control unit changes the measurement range in the cases where a conversion value obtained by converting the measurement value by means of the conversion unit satisfies predetermined conditions in a predetermined period.

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Tokyo, Japan

Shigeki Shinoda