The invention provides a method for accurately predicting a road surface condition at a location within a predetermined range. To that end, the road surface conditions at the location within the predetermined range are predicted using road surface estimation decision values calculated using vehicular information, which is the information on the behavior of a vehicle W.sub.i during travel obtained by an on-board sensor mounted on the vehicle, or estimated road surface conditions estimated using the road surface estimation decision values. In doing so, the road surface condition at the location within the predetermined range is predicted based on the road surface estimation decision values calculated for the location within the predetermined range or the time-dependent changes in the estimated road surface conditions.

The invention provides a method for accurately predicting a road surface condition at a location within a predetermined range. To that end, the road surface conditions at the location within the predetermined range are predicted using road surface estimation decision values calculated using vehicular information, which is the information on the behavior of a vehicle W.sub.i during travel obtained by an on-board sensor mounted on the vehicle, or estimated road surface conditions estimated using the road surface estimation decision values. In doing so, the road surface condition at the location within the predetermined range is predicted based on the road surface estimation decision values calculated for the location within the predetermined range or the time-dependent changes in the estimated road surface conditions.

The present invention is a computer implemented method of design a roof, the method comprising: mapping, a roof layout of a structure; identifying, a set of features of the roof layout, wherein the set of features identifies the slope and intersection of the surfaces of the roof layout; applying, a plurality of trusses over the roof layout in a predetermined orientation; generating, a profile of each of the plurality of trusses, wherein the profile is generated through the combination of the identified set of features of the roof layout and the orientation of the trusses; calculating, a weight of the roof layout based on the total weight of the trusses; and calculating, a difficulty rating of the roof layout.

An object of the present invention is to provide a method for comparatively simply selecting polycrystalline silicon suitably used for stably producing single crystal silicon in high yield. According to the present invention, polycrystalline silicon having a maximum surface roughness (Peak-to-Valley) value Rpv of 5000 nm or less, an arithmetic average roughness value Ra of 600 nm or less and a root mean square roughness value Rq of 600 nm or less, the surface roughness values being measured by observing with an atomic force microscope (AFM) the surface of a collected plate-shaped sample, is selected as a raw material for producing single crystal silicon.

An object of the present invention is to provide a method for comparatively simply selecting polycrystalline silicon suitably used for stably producing single crystal silicon in high yield. According to the present invention, polycrystalline silicon having a maximum surface roughness (Peak-to-Valley) value Rpv of 5000 nm or less, an arithmetic average roughness value Ra of 600 nm or less and a root mean square roughness value Rq of 600 nm or less, the surface roughness values being measured by observing with an atomic force microscope (AFM) the surface of a collected plate-shaped sample, is selected as a raw material for producing single crystal silicon.

A method and a device that performs the method for measuring the flatness of a metal product traveling on a path, the method includes measuring a first longitudinal tension measurement value (T1) with a measuring roller, determining a model of stress over the thickness of the metal product as a function of plastic or elastoplastic deformation of the product, calculating a correction factor for the longitudinal deformation according to the stress model, calculating a corrective value (T1′, T2′) for the first longitudinal tension measurement value (T1) at at least one evaluation point (M1, M2) as a function of the longitudinal deformation correction factor (Z1), and calculating a corrected flatness measurement value (PC) at at least one of the evaluation points.

A method and a device that performs the method for measuring the flatness of a metal product traveling on a path, the method includes measuring a first longitudinal tension measurement value (T1) with a measuring roller, determining a model of stress over the thickness of the metal product as a function of plastic or elastoplastic deformation of the product, calculating a correction factor for the longitudinal deformation according to the stress model, calculating a corrective value (T1′, T2′) for the first longitudinal tension measurement value (T1) at at least one evaluation point (M1, M2) as a function of the longitudinal deformation correction factor (Z1), and calculating a corrected flatness measurement value (PC) at at least one of the evaluation points.

A method for quantitatively evaluating the anisotropy of joint roughness coefficient of rock joints is provided, comprising the following steps: selecting a joint sample of an engineering rock mass to be analyzed; uniformly arranging rock joint measurement segments in different orientations; recording each joint profile by a profilograph;

measuring joint roughness coefficient of each measurement segment; calculating a statistical mean value of the joint roughness coefficients in each orientation under same dimensional conditions, and obtaining a roughness coefficient class ratio in each orientation; transforming each item in the roughness coefficient class ratio by R.sub.1(i)=r.sub.0(i).sup.1/m; fitting the processed roughness coefficient of the rock joints by anisotropic ellipse function; determining a major axis a and a minor axis b of the anisotropic ellipse, Θ representing a direction of rotation, where a ratio of the major axis to the minor axis indicates a difference between the maximum roughness coefficient and the minimum roughness coefficient on the anisotropic ellipse, and Θ indicates a dominant orientation for roughness development of the rock joints. The present invention can effectively and quantitatively determine the degree of the anisotropy of joint roughness coefficient of the rock joints.

A method for quantitatively evaluating the anisotropy of joint roughness coefficient of rock joints is provided, comprising the following steps: selecting a joint sample of an engineering rock mass to be analyzed; uniformly arranging rock joint measurement segments in different orientations; recording each joint profile by a profilograph;

measuring joint roughness coefficient of each measurement segment; calculating a statistical mean value of the joint roughness coefficients in each orientation under same dimensional conditions, and obtaining a roughness coefficient class ratio in each orientation; transforming each item in the roughness coefficient class ratio by R.sub.1(i)=r.sub.0(i).sup.1/m; fitting the processed roughness coefficient of the rock joints by anisotropic ellipse function; determining a major axis a and a minor axis b of the anisotropic ellipse, Θ representing a direction of rotation, where a ratio of the major axis to the minor axis indicates a difference between the maximum roughness coefficient and the minimum roughness coefficient on the anisotropic ellipse, and Θ indicates a dominant orientation for roughness development of the rock joints. The present invention can effectively and quantitatively determine the degree of the anisotropy of joint roughness coefficient of the rock joints.

A part program generating device includes a CAD data memory storing CAD data of a work piece, a measurement condition definer receiving an input operation performed by a user and defining a measurement procedure, and a part program generator converting the measurement procedure defined by the measurement condition definer into a part program language. The measurement condition definer provides the user with, as a graphical user interface, an editing window capable of editing the measurement procedure in an editing language and a command icon providing a command to be used for defining the measurement procedure as an icon. The command icon includes a circumvention move command icon instructing to overcome a barrier when displacing a sensor from a start point to a target point.