Nippon Telegraph and Telephone Corporation

Fujikura Limited

The Furukawa Electric Co., Ltd.

Eko Instruments Co., Ltd.

Yukihiro Goto

Kazuhide Nakajima

Hiroyuki Oshida

Ryuji Honda

Tomoya Shimizu

Shoichiro Matsuo

Takashi Matsui

Itaru Ishida

Toshio Kurashima

Toshiya Ohira

Shoji Tanigawa

Masaaki Inoue

Hitoshi Niigaki

Shigehiro Matsuda

Takeshi Yagi

Ryuichi Sugizaki

Atsushi Sagata

Naomi Kumano

Isamu Chiba

Toshikazu Hasegawa

Shingo Ando

Iwao Shimotakahara

Yasuhiro Yao

Hiroki Hamaguchi

Kana Kurata

Takashi Goto

Yoshiyuki Kajihara

Masaki Nakamori

An object of the present invention is to provide an information processing apparatus, an information processing method, and a program, which are capable of determining an owner of an attachment attached to a facility using a solid model of a facility extracted from three-dimensional point group data. The present invention determines the owner of the attachment from a planar positional relationship between the solid model of a columnar structure and the solid model of the attachment in the solid model. For example, a distance between a utility pole and a center of a point (a center of a ground boundary) at which a branch line or a post reaches a ground is acquired, and whether the branch line or the post is owned by a communication company or an electric power company is determined based on whether the distance exists in a constant threshold determined by the communication company or the electric power company.

Information processing equipment, information processing methods, and programs

An object permittivity measurement apparatus according to the present disclosure includes: a light wave distance measurement device configured to measure reciprocating time t of a light wave with which an object is irradiated and that is reflected and returned from the object, and calculate a distance L to the object using the following equation (1),/2  (1)

Permittivity measuring device and thickness measuring device

Provided is a point cloud analysis device that curbs a decrease in model estimation accuracy due to a laser measurement point cloud. A clustering unit () clusters a point cloud representing a three-dimensional point on an object obtained by a measurement unit mounted on a moving body and performing measurement while scanning a measurement position, within a scan line, to obtain a point cloud cluster. A central axis direction estimation unit () estimates a central axis direction based on the point cloud cluster. A direction-dependent local effective length estimation unit () estimates a local effective length based on an estimated central axis direction and an interval of scan lines, the local effective length being a length when a length of projection of the point cloud cluster in a central axis direction for each of the point cloud clusters is interpolated by an amount of a loss part of the point cloud.

Point cloud analysis device, method, and program

An object of the present disclosure is to make it possible to ascertain coordinates of facility. A processor obtains two or more captured images of a facility and an object (S), obtains position coordinates and an actual size of the facility and a size of the object from a database (S), calculates a distance from each camera that has captured the two or more images to the object using a relationship between a distance from each camera that has captured the two or more images to the facility and a magnification with respect to the actual size of the facility on the two or more images (S), and derives position coordinates of the object using the calculated distance (S).

Position coordinate derivation device, position coordinate derivation method, position coordinate derivation program, and system

An object of the present disclosure is to provide a technique for creating a three-dimensional model of a line-like structure from a point cloud obtained using three-dimensional laser measuring equipment and detecting a three-dimensional model of a cable. A detection apparatus according to the disclosure includes a point cloud data input unitthat reads point cloud data where a structure that is present in a three-dimensional space is represented by a point cloud that is present in the three-dimensional space, a rule-based three-dimensional model generation unitthat combines linearly disposed point clouds into a group and generates a three-dimensional model of a line-like structure using a direction vector configured with point clouds included in the group, a machine learning-based three-dimensional model generation unitthat generates a three-dimensional model of a line-like structure based on a database that links point clouds and line-like structures, and a three-dimensional model merging unit that selects one of a plurality of three-dimensional models of line-like structures generated at an identical position in the three-dimensional space as a three-dimensional model of a line-like structure that is present in the three-dimensional space and merges three-dimensional models of the line-like structures that are present in the three-dimensional space.

Detection device, detection method and detection program for linear structure

A columnar object state detection device according to an embodiment is a device for detecting a state of a columnar object including: an acquisition unit configured to acquire central axis data that is an array of coordinate values of center points of the columnar object in a horizontal direction at a plurality of predetermined heights of the columnar object; an approximation equation calculating unit configured to calculate a correction approximation equation for correcting the coordinate values of the central axis data acquired by the acquisition unit through curve fitting for the array of coordinate values of the central axis data acquired by the acquisition unit; and correction unit configured to correct the coordinate values of the acquired central axis data using the correction approximation equation calculated by the approximation equation calculating unit.

Columnar-object-state detection device, columnar-object-state detection method, and columnar-object-state detection processing program

The object of the invention is to provide a thermal conductivity measuring device that comprises a heat generator arranged in such a way as to come into contact with an object to be measured for thermal conductivity, a heat resistant material arranged in such a way as to come into contact with the heat generator, at least one pair of differential thermocouples for measuring a voltage value caused by the difference in temperature of two points of the heat resistant material, the temperature being generated by allowing heat to flow from the heat generator, and a calculating device for calculating the time rate of change of output voltage of the differential thermocouples and then calculating the thermal conductivity of the object to be measured on the basis of the calculated time rate of change.

Thermal conductivity measuring device, thermal conductivity measuring method and vacuum evaluation device

A measuring method of a longitudinal distribution of bending loss of an optical fiber includes calculating an arithmetical mean value I(x) from two backscattering light intensities of two backscattering light at a position x obtained by bidirectional OTDR measurement of the optical fiber; and obtaining a bending loss value at the position x from a mode field diameter 2W(x) and a relative refractive index difference &#x394;(x) at the position x calculated from the arithmetical mean value.

Measuring method of longitudinal distribution of bending loss of optical fiber, measuring method of longitudinal distribution of actual bending loss value of optical fiber, test method of optical line, manufacturing method of optical fiber cable, manufacturing method of optical fiber cord, and manufacturing method of optical fiber

For example, of a first intensity distribution waveform WFindicated by a distance distribution of an intensity of light which returns to one end of a core of a multicore fiber, and a second intensity distribution waveform WFindicated by a distance distribution of an intensity of light which returns to the other end of the core, the second intensity distribution waveform WFis inverted. Further, for example, an inverted intensity distribution waveform WFwhich is inverted and the first intensity distribution waveform WFwhich is not inverted are added.

Crosstalk measuring method and crosstalk measuring device

A measuring method of a hole diameter of a holey optical fiber includes calculating an arithmetical mean value I(x) from two backscattering light intensities at a position x of two backscattering light waveforms of the holey optical fiber, in which the two backscattering light waveforms are obtained by OTDR measurement; and obtaining the hole diameter at the position x, based on a correlation between an arithmetical mean value I(x) and an hole diameter of the holey optical fiber that is obtained in advance.

Measuring method of hole diameter, hole position, hole surface roughness, or bending loss of holey optical fiber, manufacturing method of holey optical fiber, and test method of optical line of holey optical fiber

A hole-assisted optical fiber includes a core portion and a cladding portion that includes an inner cladding layer, an outer cladding layer, and holes formed around the core portion. A diameter of the core portion is 3 &#x3bc;m to 9.8 &#x3bc;m, a relative refractive index difference of the core portion relative to the outer cladding layer is 0.11% to 0.45%, an outside diameter of the inner cladding layer is 53 &#x3bc;m or less, a relative refractive index difference of the inner cladding layer relative to the outer cladding layer is a negative value, &#x2212;0.30% or more, a diameter of each hole is 2.4 &#x3bc;m to 4.0 &#x3bc;m, a hole occupancy rate is 17% to 48%, a bending loss at a wavelength of 1625 nm when bent at a radius of 5 mm is 1 dB/turn or less, and a cut-off wavelength is 1550 nm or less.

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Tokyo, Japan

Yukihiro Goto