Abstract: A measurement method according to an exemplary embodiment acquires a measured value indicating a capacitance between a measuring instrument and an edge ring in a chamber. The measuring instrument includes a base substrate and a sensor electrode provided on the base substrate. The method includes holding, on a stage in the chamber, the edge ring having a conductive film formed on a surface thereof. The method includes transporting the measuring instrument to a region on the stage which is surrounded by the edge ring. The method includes acquiring the measured value indicating the capacitance between the measuring instrument and the edge ring having the conductive film by using the measuring instrument transported to the inner side of the region.

Abstract: A measurement device includes: an operation unit that receives an operation of a user; an acquisition unit that acquires depth information indicating a depth image and color information indicating a color image of an object; a controller that calculates, based on at least one of the depth information and the color information, first dimension of the object; and a display unit that displays a frame image showing a contour shape of the object to be superimposed on the color image, the contour shape being based on the first dimension. The operation unit receives a selection and an input of a change amount of the adjustment target plane by the user. The controller calculates, second dimension of the object when the adjustment target plane is moved in a normal direction based on the change amount, and changes the frame image to show a contour shape based on the second dimension.

Abstract: A calibration method includes placing an LED light source having a given wavelength range inside a reference apparatus; acquiring first data as an emission intensity of light at a wavelength, a light amount of the light being adjusted in stages by changing the light amount output from the LED light source; storing the first data in a memory; placing the LED light source in a calibration target apparatus; acquiring second data as an emission intensity of light at a wavelength, a light amount of the light being adjusted in the stages by changing the light amount output from the LED light source; and calculating a calibration formula based on the first data stored in the memory and the second data.

Abstract: A calibration method includes placing an LED light source having a given wavelength range inside a reference apparatus; acquiring first data as an emission intensity of light at a wavelength, a light amount of the light being adjusted in stages by changing the light amount output from the LED light source; storing the first data in a memory; placing the LED light source in a calibration target apparatus; acquiring second data as an emission intensity of light at a wavelength, a light amount of the light being adjusted in the stages by changing the light amount output from the LED light source; and calculating a calibration formula based on the first data stored in the memory and the second data.

Abstract: A measurement device includes: an operation unit that receives an operation of a user; an acquisition unit that acquires depth information indicating a depth image and color information indicating a color image of an object; a controller that calculates, based on at least one of the depth information and the color information, first dimension of the object; and a display unit that displays a frame image showing a contour shape of the object to be superimposed on the color image, the contour shape being based on the first dimension. The operation unit receives a selection and an input of a change amount of the adjustment target plane by the user. The controller calculates, second dimension of the object when the adjustment target plane is moved in a normal direction based on the change amount, and changes the frame image to show a contour shape based on the second dimension.

Abstract: A measurement device according to the present disclosure is a measurement device that measures a size of an outer shape of an object, the object including a platform present on a floor surface and a load placed on the platform. The measurement device includes: an acquisition unit that acquires depth information indicating distances from a reference position to the floor surface and the object; a storage that stores standard dimension information indicating a standard size of the platform; a controller that measures width, depth, and height dimensions of the object by identifying the platform based on the depth information and the standard dimension information, and generates measurement information indicating the measured width, depth, and height dimensions; and an output unit that outputs the measurement information.

Abstract: This information processing system processes information through communication between a first information processing device and a second information processing device. The second information processing device has a recording unit and a control unit. The recording unit records a first OS and a second OS. The control unit selects one of the first OS and the second OS, according to a connection state with the first information processing device. The control unit controls the second information processing device or a combination of the first information processing device and the second information processing device, using the OS selected here.

Abstract: A tablet type computer for radio communication with other radio devices using two or more antennas in which, when sending radio waves, a radio communication control unit switches the antennas so that sending of radio signals is made using the antenna disposed at a position farthest from the operator or disposed at a position where the possibility of a part of the operator body coming in touch with the antenna is the lowest. With this operation, even a tablet type computer can keep away as much as possible a hand or a part of the body of the operator from the antenna which is a source of harmful electromagnetic waves.

Abstract: A system of measuring software significance for reusing the software based on a certain objective metric is provided. In this system, in inter-file relationship extraction (S212), Java source code files 230 are analyzed, and inter-class inheritance is extracted as reuse relationships. In addition, in SMMT (S222), similarity among Java source code files 230 is calculated. In cluster analysis (S224), cluster analysis is carried out based on the similarity obtained by the SMMT (S222), and a set of files is categorized into M component groups. Relationships among component groups are extracted (S214) from the results of the cluster analysis (S224) and extraction of inter-file relationships (S212). Evaluation is carried out based on the values of relative significance for component groups using the inter-component group relationships (S216). Finally, the values of relative significance for component groups are converted to file (software component) evaluated values (S218).

Abstract: A tablet type computer for radio communication with other radio devices using two or more antennas in which, when sending radio waves, a radio communication control unit switches the antennas so that sending of radio signals is made using the antenna disposed at a position farthest from the operator or disposed at a position where the possibility of a part of the operator body coming in touch with the antenna is the lowest. With this operation, even a tablet type computer can keep away as much as possible a hand or a part of the body of the operator from the antenna which is a source of harmful electromagnetic waves.

Abstract: A system of measuring software significance for reusing the software based on a certain objective metric is provided. In this system, in inter-file relationship extraction (S212), Java source code files 230 are analyzed, and inter-class inheritance is extracted as reuse relationships. In addition, in SMMT (S222), similarity among Java source code files 230 is calculated. In cluster analysis (S224), cluster analysis is carried out based on the similarity obtained by the SMMT (S222), and a set of files is categorized into M component groups. Relationships among component groups are extracted (S214) from the results of the cluster analysis (S224) and extraction of inter-file relationships (S212). Evaluation is carried out based on the values of relative significance for component groups using the inter-component group relationships (S216). Finally, the values of relative significance for component groups are converted to file (software component) evaluated values (S218).