초록 ▼

Using a personal digital assistant (PDA) to collect operational data for analysis on computers from systems including engine-generator controllers and the downloading of operational parameters to engine-generator controllers is described. The engine-generator controllers control at least one engine-

Using a personal digital assistant (PDA) to collect operational data for analysis on computers from systems including engine-generator controllers and the downloading of operational parameters to engine-generator controllers is described. The engine-generator controllers control at least one engine-generator set. A method for using the PDA includes the steps of configuring the controller with a communications service manager to enable communications with the PDA and configuring the PDA to display engine-generator operational data. The method of collection and downloading continues by transferring operational parameters from the computer to the PDA, downloading the operational parameters from the PDA to the controller, uploading operational data from the controller to the PDA and transferring operational parameters from the PDA to the computer.

대표청구항 ▼

Using a personal digital assistant (PDA) to collect operational data for analysis on computers from systems including engine-generator controllers and the downloading of operational parameters to engine-generator controllers is described. The engine-generator controllers control at least one engine-

Using a personal digital assistant (PDA) to collect operational data for analysis on computers from systems including engine-generator controllers and the downloading of operational parameters to engine-generator controllers is described. The engine-generator controllers control at least one engine-generator set. A method for using the PDA includes the steps of configuring the controller with a communications service manager to enable communications with the PDA and configuring the PDA to display engine-generator operational data. The method of collection and downloading continues by transferring operational parameters from the computer to the PDA, downloading the operational parameters from the PDA to the controller, uploading operational data from the controller to the PDA and transferring operational parameters from the PDA to the computer. nspection circuit which, with respect to density values of pixels within a specific area consisting of a target pixel and pixels in a vicinity thereof in image data for each color component, calculates an average density value, the sum of density differences, that is, the sum of absolute values of differences between the target pixel and the peripheral pixels, and the number the peripheral pixels having the same density value as the target pixel, so that a judgement is made as to whether the target pixel is a maximum value or a minimum value, and also calculates a run-length and the degree of busy from the pixel forming the maximum value or the minimum value. Moreover, based on the run-length and the degree of busy, the second inspection circuit extracts a pixel weight switching signal for each of the color components, and detects the periodicity of meshes of image data by counting pixels not less than the standard value or not more than the standard value based on the pixel weight switching signal within a predetermined counting area. With this arrangement, it becomes possible to carry out the discrimination between character areas and mesh areas as well as the discrimination between black character areas and white character ares with high precision. nd a pixel of interest which is the pixel in the reference region to which a number is to be assigned, and if the characteristic amount of all of the pixels in the reference region, the pixels of interest is considered to be the peak of a crest and a new number is assigned thereto, whereas if the characteristic amount of the pixels of interest is not the greatest characteristic amount of all of the pixels in the reference region and the pixel other than the pixel of interest in the reference region having the greatest characteristic amount has an assigned number, the assigned number is assigned to the pixel of interest as well, and this number assigning process is repeated until all of the pixels in the image region designated in advance are each assigned a crest peak number, and setting pixels having the same assigned number as respective regions, and sectioning the image region designated in advance into these respective regions. 5. An image processing method according to claim 1, wherein sectioning of the xy plane of each region having a crest-shape distribution is performed by repeating a process in which, among pixels in the image region designated in advance, a pixel which has not been assigned a number is employed as a pixel of interest, and when a pixel having a characteristic amount which is larger than that of the pixel of interest is detected in a reference region of pixels of N rows×M columns (where each of N and M is not smaller than one) centered around the pixel of interest, the position of the pixel of interest is stored, and the pixel having the large characteristic amount is employed as a new point of interest, a number assigning process is carried out in which, when the new point of interest has the largest characteristic amount in the reference region and the new point of interest has not been assigned a number, the new point of interest is employed as the peak of a crest and a new number is assigned to the point of interest, and when a number has already been assigned to the new point of interest, the number is assigned to all pixels having stored coordinates, and this number assigning process is repeated until all pixels in the image region designated in advance are each assigned a crest number, and the image region is sectioned by a set of pixels having the same number being made to be one region. 6. An image processing method according to claim 4, wherein sectioning of the xy plane of each region having a crest-shape distribution is performed by repeating a process in which, among pixels in the image region designated in advance, a pixel which has not been assigned a number is employed as a pixel of interest, and when a pixel having a characteristic amount which is larger than that of the pixel of interest is detected in a reference region of pixels of N rows×M columns (where each of N and M is not smaller than one) centered around the pixel of interest, the position of the pixel of interest is stored, and the pixel having the large characteristic amount is employed as a new point of interest, a number assigning process is carried out in which, when the new point of interest has the largest characteristic amount in the reference region and the new point of interest has not been assigned a number, the new point of interest is employed as the peak of a crest and a new number is assigned to the point of interest, and when a number has already been assigned to the new point of interest, the number is assigned to all pixels having stored coordinates, and this number assigning process is repeated until all pixels in the image region designated in advance are each assigned a crest number, and the image region is sectioned by a set of pixels having the same number being made to be one region. 7. An image processing method according to claim 1, wherein the determination of a discoloration region of the pupil is performed by determining for each sectioned region at least any one of the followin