Matsushita Electric Industrial Co., Ltd.

Yokogawa Electric Corporation

Takehisa Tanaka

Kunio Yoshida

Motohiko Naka

Mie Saitoh

Takehiko Shida

Toshiki Kindo

Katsuhiro Kanamori

Osamu Yamada

Mutsuko Nichogi

A transmitter includes a processor that connects to a sensor for outputting measurement data and outputs setting data based on the measurement data, a current controller that outputs output data based on the setting data from the processor, a current output interface that outputs a first current signal based on the output data from the current controller, and a current input interface that receives input of a second current signal and outputs input data based on the second current signal to the current controller. The current input interface outputs internal input data based on the first current signal to the current controller as the input data when receiving input of the first current signal as the second current signal. The current controller detects failure of the transmitter by comparing the setting data and the internal input data.

Transmitter

An object of the present invention is to realize a multi-point data acquisition apparatus which enables communication with multiple measurement modules at high speed. The present invention improves upon a multi-point data acquisition apparatus comprising a main module which performs serial communication through a serial bus to multiple measurement modules connected to a single-system serial bus. The main module of the present invention is characterized in that it comprises the following: a timing generating unit which outputs a first timing signal and second timing signal; a setting unit which sets multiple transmission destinations which are measurement modules to be engaged in serial communication, and multiple transmission contents, based on the first timing signal; and a communication processing unit which holds the multiple transmission destinations and multiple transmission contents set by the setting unit, and, based on the second timing signal, sequentially sends transmission contents through the serial bus to the multiple measurement modules set as transmission destinations, performing serial communication.

Multi-point data acquisition apparatus

A gamut judging apparatus of the present invention has source color distance calculator that calculates the length of a source color vector connecting a source color as an object to judge whether the source color is in or out of gamut of a device and a center color set in the gamut, gamut distance calculator that calculates a gamut distance between the center color and an intersection at which the source color vector or an extended source color vector intersects a gamut boundary of the device, and a judging section that judges that the source color is out of the gamut of the device when the length of the source color vector is larger than the gamut distance, and judges that the source color is in the gamut of the device when the length of the source color vector is smaller than the gamut distance.

Gamut judging apparatus, color transform apparatus and gamut boundary learning method

An automatic adjusting apparatus for adjusting equipment which comprises an adjustment state detecting section and a processing section. The detecting section detects an adjustment state of the equipment so as to output one or a plurality of adjustment state indexes on the basis of the detected adjustment state and the processing section performs the process on the basis of the adjustment state index to adjust the equipment. The processing section is equipped with an adjustment state evaluation section for calculating and outputting, on the basis of the adjustment state index, an adjustment evaluation value and an adjustment amount calculation section for calculating, on the basis of the adjustment state index, adjustment amounts for one or a plurality of portions of the equipment. Also included in the processing section is an adjustment control section for selecting, on the basis of the adjustment evaluation value, an adjustment amount from the outputs of the calculation section. The control section controls the calculation section so as to control the adjustment amount on the basis of the selection result. The calculation section has a function to learn the relation between the adjustment state index and the adjustment amount and a function to calculate the adjustment amount in accordance with the learned relation.

Automatic adjusting apparatus for equipment

A coloring device includes an image sampling device for sampling an input signal block representing a group of n.times.m pixels of a monochromatic image and for outputting first signals representing the sampled pixels of the input signal block of the monochromatic image; and artificial neural network, a connection for providing to the artificial neural network, substantially simultaneously, pattern information on patterns to be contained in the monochromatic image and color information on first data indicating colors given to the patterns indicated by the pattern information prior to generation of a color image signal, the artificial neural network having internal state parameters which are adaptively optimized by using a learning algorithm prior to the generation of a color image, the artificial neural network operating for receiving data representing the first signal, for determining which of colors preliminarily and respectively assigned to patterns to be contained in the group of pixels of the monochromatic image represented by the input signal block is given to a pattern actually contained in the group of pixels represented by the input signal block and for outputting second signals representing second data on three primary colors which are used to represent the determined colors given to the patterns actually contained in the group of pixels represented by the input signal block; and a color image storing device for receiving the second signals outputted from the artificial neural network, for storing the received second signals in locations thereof corresponding to the positions of the pixels represented by the input signal block and for outputting third signals representing the three primary color component images of the pixels represented by the input signal block; wherein the image sampling device further functions for scanning the whole of the monochromatic image by generating successive input signal blocks representing successive groups n.times.m pixels to be sampled, thereby outputting third signals for all pixels of the monochromatic image.

Coloring device for performing adaptive coloring of a monochromatic image

A color correction apparatus for use in an apparatus such as a color copier for operating on data obtained by scanning and color analysis of a source image to obtain color density data for use in printing a copy of the source image, the correction apparatus containing a neural network. Parameter values of the neural network are established by repetitive computations based on amounts of difference between color density data previously used to print a plurality of color samples and color density data produced by the neural network in response to color analysis data obtained by analyzing these color samples.

Color data correction apparatus ultilizing neural network

An apparatus for printing signal correction and printer operation control, for use in applications such as color copiers, utilizes a neural network to convert input image signals, derived for example by scanning and analyzing an original image, into printing density signals which are supplied to a printer. In addition, a detection signal expressing at least one internal environmental condition of the printer, such as temperature, is inputted to the neural network, so that the output printing density signals are automatically compensated for changes in internal environment of the printer.

Printing signal correction and printer operation control apparatus

A data compression and recovery apparatus compresses picture element data of a color image by expressing two primary color values of each picture element as a set of parameter values of a neural network in conjunction with reference color data values of a corresponding block of picture elements. Date recovery is achieved by inputting each block of reference color values to a neural network while establishing the corresponding set of parameter values in the network, to thereby obtain the original pair of encoded primary color values for each of successive picture elements. The third primary color can be used as the reference color.

Growing community of inventors

Tokyo, Japan

Takehisa Tanaka