Matsushita Electric Industrial Co., Ltd.

Mitsubishi Tanabe Pharma Corporation

Masamichi Morimoto

Kazumasa Okumura

Junichi Hada

Yasuhiro Maenishi

Takayuki Kawaguchi

Toru Iijima

Yasutaka Tsuboi

Ikuo Yoshida

Hidenori Akatsuka

Atsushi Tanabe

Jun Murakami

Tatsuya Watanabe

Yoshikazu Okahashi

Omur Bozma

Toshiki Kindo

Takehiko Shida

Eiichi Hachiya

Shozo Fukuda

Kimiaki Sano

Akira Noudo

Hideshi Ueda

Makoto Hirahara

Shuichi Yokota

Daisuke Ohkawara

Akira Mohri

The present invention provides a carbamoyl-type benzofuran derivative of the formula [1]: wherein Ring Z is a group of the formula: etc.; A is a single bond, and the like; Y is a cycloalkanediyl group, etc.; Rand Rare the same or different and each is an optionally substituted lower alkyl group, etc.; Ris a halogen atom, etc.; Ring B of the formula: is an optionally substituted benzene ring; and Ris a hydrogen atom. etc., or a pharmaceutically acceptable salt thereof, which is useful as an FXa inhibitor.

Carbamoyl-type benzofuran derivatives

The present invention provides an amide-type carboxamide derivative of the formula [1]: wherein X is a group of the formula: &#x2014;N&#x2550; or the formula: &#x2014;CH&#x2550;; Ris a halogen atom, a lower alkyl group, and the like; Ris a group of the formula: and the like; Yand Yare the same or different and each is a group selected from a halogen atom, a lower alkyl group, a lower alkoxy group, and the like; Ring A is phenyl group, and the like, or a pharmaceutically acceptable salt thereof, which is useful as an inhibitor of FXa.

Amide type carboxamide derivative

The following processing is performed when a line gang pickup head can simultaneously pick up a maximum of n (here, 4) components. First, groupings of components of the same type, out of all of the components to be optimized, are set as component tapes and the component tapes are arranged descending order of the number of components to produce a component histogram (). Next, a partial histogram (), which is part of the component histogram (), is taken from the component histogram (), and is arranged at two-dimensional coordinates where a horizontal axis (the Z-axis) represents an arrangement of component cassettes and a vertical axis represents a number of pickup operations by the line gang pickup head. After this, the component tapes are lined up, by arranging the partial histograms (and), so as to produce a diagram () whose width (number of components) in the horizontal axis is n (=4).

Method for optimization of an order of component mounting, apparatus using the same, and mounter

There are provided a method and device for generating component mounting data in view of productivity, quality assurance, safety, or the like, when components are mounted onto a mounting target, and a component mounting method and device by which a mounting operation can be performed based on the data. Rules that must be observed, or are desired to be observed, based on various conditions such as mounting apparatus and component information and the like are automatically generated in view of productivity, quality assurance, safety, or the like and can be utilized for generation of component mounting data.

Method for generating component mounting data and component mounting method

A component recognizing method, and an apparatus for executing the method, for applying light to leads on a mounting surface of an electronic component and executing positional detection of the leads by a height detecting section, comprising a 3-D sensor, on the basis of light reflected from the leads. The method includes limiting a region to be measured by the height detection section so that light reflected from objects behind or near the leads is excluded from the region and processing light reflected from the region, thereby removing the reflected light from objects behind or near the lead.

Component recognizing method and apparatus

A visual recognition apparatus of the invention can acquire an image exclusive of a background of a subject of image processing, thereby rendering the image of the subject fit for the image processing. More specifically, a mirror-surfaced collar covering a retainer has a specified configuration and a specified positional relationship with a lighting element and a camera such that a light from the lighting element toward the retainer is reflected by the mirror-surfaced collar for deviation from a light path to enter the camera.

Method and apparatus for visual recognition of a component supplied to

When an image of an object is recognized, a template having a size smaller than the object is used. First, operation reference points C.sub.s (X.sub.m, Y.sub.n) are set at steps smaller than lengths along the X and Y directions of an image of an object to be recognized, and a template T(x.sub.i, y.sub.i) is set at the operation reference points C.sub.s (X.sub.m, Y.sub.n). Then, an equation, ##EQU1## is operated based on the template T(x.sub.i, y.sub.i) and the image data P(X, Y). Next, candidate points are determined as points having M(X.sub.m, Y.sub.n) larger than a reference value. Then, a position of the image of the object is determined according to the candidate points. Even if an image to be recognized is inclined, the position and the slope of the image can be detected at a fast speed even for image data with noise.

Pattern detection method

It is intended to accurately detect the centerline or center of electronic component by relieving effects of brightness or darkness or the like caused by the shape or color of the component, irregularity on the surface or how illuminance is projected on the component through statistical processing. To this end, the present invention comprises a first step for determining edge points of opposing sides of said component, a second step for determining two-dimensional coordinate axes which are established to make a deflection angle of said component zero, a third step for projecting the center position of two edge points in total each of which is arbitrarily selected from each side to a coordinate axis of said two-dimensional coordinate axes orthogonal to said opposing sides, and creating a histogram on said coordinate axis by projecting and adding the positions of center repeatedly obtained onto said coordinate axis, and a fourth step for detecting the peak position of the histogram obtained from the result of processing of said third step, and determining a line passing through the peak position and parallel to said opposing sides as the centerline of component.

Component detection method

In a component detecting method and apparatus, intensity data stored in an intensity data storing device are rearranged in order of increasing intensity data. An intensity data quadratic differential table is formed by quadratically differentiating the intensity data of an intensity profile with respect to a data number of the intensity data. The data number at a zero-crossing point at which a quadratic differential data obtained by quadratically differentiating the intensity data is changed between positive and negative through zero from the intensity data quadratic differential table is detected. A threshold value is determined according to the intensity data of the intensity profile corresponding to the data number at the zero-crossing point. So, the component detect method and apparatus can detecting an image of the component from a background with the appropriate threshold value even when the component to be recognized is dirty or the intensity of the background fluctuates

Method and apparatus using a zero-point crossing of quadratically

An X-Y coordinate is set on a video image including a component sucked with a suction tube, then two horizontal reference lines parallel to the Y-axis having a first predetermined length which is shorter than the length of the component and intersecting with the video image of the component are detected, and two vertical reference lines parallel to the X-axis having a second predetermined length which is shorter than the width of the component and intersecting with the video image of the component are also detected, and X-coordinates of the two horizontal reference lines and Y-coordinates of the two vertical reference lines are detected, subsequently, averages of the two X-coordinates and Y-coordinates are calculated, and the central position of the component is recognized on basis of these averages.

Method for recognizing position of component and apparatus therefor

A boundary of leads of an integrated circuit component shown by binary picture elements on a recognition plane of an image display means is detected by a conventional boundary detecting method, and respective corners of the leads are detected on the basis of variation of an angle between a predetermined axis and a line connecting two picture elements having a predetermined distance from each other on the boundary. Moreover, a shape of the lead is recognized on the basis of the shapes of the corners. Subsequently, a search zone containing a tip portion of one lead is set by referring the midpoint of the tip of the lead, and is scanned by horizonal scanning lines and vertical scanning lines. Then segments of both the scanning lines overlapping on the tip portion are obtained, and a protruding direction of the lead is detected referring to a segment touching on a boundary of a search zone. Furthermore, a midpoint of the tip is calculated from coordinate values of plural segments crossing the tip portion.

Component shape recognition method

Image of an electronic part is subdivided into a plurality of segments and is taken in a picture area of a video camera, and picture area is shifted in a predetermined direction along a circumference portion or boundary; a characteristic portion positioned on an end portion of the picture area is also included in the beginning part of a successive picture area, and then the positions and shapes of the respective characteristic portions in the successive picture area are detected on the basis of the image data of characterisitc portion at the end portion of the previous picture area.

Electronic parts recognition method and apparatus therefore

A shape recognition apparatus for detecting a boundary of an object using a video camera converts an image signal to a binary signal, and detects boundary points showing the boundary from the binary signal, Then, boundary angle and average of boundary angle difference are calculated based on the boundary points, and thereby corners of the boundary are recognized.

Growing community of inventors

Moriguchi, Japan

Masamichi Morimoto