131results about How to "Density is accurate" patented technology

A dual energy scanning densitometry system for imaging and measuring bone density maintains acceptable flux by adjusting the x-ray current or scan speed according to preceding scan line data. The amount of acceptable flux is maintained within limits modified by information about the region of the body being scanned so that different precisions may be maintained for different body regions. Scan speed and current may be controlled so that scan speed is maximized within the current limits. Essentially continuous flux control can be achieved.

In an image pickup apparatus such as a digital camera with a display serving as a viewfinder, exposure is controlled by changing only an exposure time of an image pickup device without changing size of an aperture for taking an image for the viewfinder. When the exposure time of the image pickup device is insufficient to obtain a proper density of the image, the image signals of the image pickup device is amplified for compensating the insufficient exposure.

Devices, methods and systems for determining one or more properties of at least one fluid sample. A tube configured to receive the at least one fluid sample wherein the tube is placed in a pressure housing. Further, an excitation source configured to generate vibration of the tube whereby a circulation of an electrical current along a portion of the tube is subjected to at least one magnetic field produced by at least one magnet. Further still, at least one vibration sensor that converts vibrations of the tube into a measurement signal. Finally, a processor that receives the measurement signal determines a resonant frequency from the measurement signal using a frequency measuring device to determine a property of the one or more properties of the at least one sample fluid.

The invention provides a crowd counting method based on a multi-scale context enhancement network, which comprises the following steps: inputting a picture, obtaining shallow features and deep features after feature extraction, performing feature fusion through a feature fusion module, sending the fused features into a multi-scale perception module, and finally, encoding the space and channel information of the features through a context enhancement module to obtain a density map with crowd distribution features. The estimated number of people in the current picture can be obtained by summingthe density image pixels. According to the crowd counting method based on the multi-scale context enhancement network, the multi-scale problem existing in crowd counting can be effectively solved, andmore accurate counting and density estimation can be carried out on crowds in a complex scene by modeling space and channel context information of a feature map. The invention is high in robustness,and can provide accurate data for the safety and planning of a large crowd gathering place.

The invention discloses a sea wind resource evaluation method based on a WRF mode. The sea wind resource evaluation method based on the WRF mode mainly comprises the steps of obtaining WRF numerical value weather forecast data and anemometer tower data, building a vertical shear model of wind, building a wind speed probability model, evaluating air density and evaluating wind power density and annual energy output. The sea wind resource evaluation method based on the WRF mode evaluates sea wind resources through the WRF numerical value weather forecast data, and effectively overcomes the defect that a traditional wind resource evaluation technology is low in accuracy.

The present invention relates to an image processing apparatus which performs density tone correction with high accuracy while reducing the burden on the user. The image processing apparatus prints an evaluation image in which a plurality of color patches and a plurality of reference patches are placed on the same main scanning line, measures density of the printed evaluation image, performs density irregularity correction in a main scanning direction using densities of the measured reference patches, and performs density tone correction using densities of the measured color patches. Results of the density irregularity correction are reflected in the density tone correction.

The image recording apparatus comprises: a recording head which has a plurality of recording elements; a conveyance device which causes the recording head and a recording medium to move relatively to each other by conveying at least one of the recording head and the recording medium; a characteristics information acquisition device which acquires information that indicates recording characteristics of the recording elements; a correction object recording element specification device which specifies a correction object recording element from among the plurality of recording elements, a density non-uniformity caused by the recording characteristic of the correction object recording element being corrected; a correction range setting device which sets N correction recording elements (where N is an integer larger than 1) from among the plurality of recording elements, the N correction recording elements being used in correction of output density; a correction coefficient specification device which calculates the density non-uniformity caused by the recording characteristic of the correction object recording element, and specifies density correction coefficients for the N correction recording elements according to correction conditions that reduce a low-frequency component of a power spectrum representing spatial frequency characteristics of the calculated density non-uniformity; a correction processing device which performs calculation for correcting the output density by using the density correction coefficients specified by the correction coefficient specification device; and a drive control device which controls driving of the recording elements according to correction results produced by the correction processing device.

There is provided an image forming apparatus which shortens the time taken for circumference detection and measures the circumference at high precision without obstructing downsizing of the apparatus. To accomplish this, the image forming apparatus detects, at an arbitrary timing, the physical pattern of the image-formed surface of a rotation member that changes over time. In the second round, the image forming apparatus detects the second pattern at a timing a predetermined time after the arbitrary timing. By using the detected patterns, the image forming apparatus obtains information associated with the circumference of the rotation member.

A mono-color signal converter extracts a mono-color signal in terms of the CMY system from RGB signals. A histogram generator generates a density histogram based on the density of the pixels in the digital image. At the same time, based on the thresholds determined previously, determination areas for the background density and maximum density are formed. A density class extracting portion extracts the density class of the background density and the density class of the maximum density. Based on the result from the density class extracting portion, a density correction curve generator generates a density correction curve. When the density correction curve needs to be adjusted as desired, the starting point and end point of the density correction curve are renewed through a first correction value and second correction value setting portion. A signal converter converts the mono-color signal into the K-signal.

An image forming apparatus that is capable of generating highly accurate read timing of a patch image, thereby achieving highly accurate density adjustment and improving color stability. A patch image for color adjustment is read in read timing generated when a trigger bar is detected. The patch image and the trigger bar that are to be read by a color sensor are formed on a transfer material. Image formation is executed by a printer controller in an image forming condition set differently for the trigger bar and for the patch image.

The invention belongs to the technical field of plasma, and discloses a plasma diagnostic method of a multi-amplitude AC bias probe based on a data acquisition card. The plasma diagnostic method comprises the steps of: generating AC bias signals based on the data acquisition card, driving the signals via a power amplifier, and applying the signals to a probe in plasma through a sampling resistor, meanwhile, acquiring a voltage signal on the sampling resistor by means of a differential simulation input port of the data acquisition card commanded by a computer, sending the voltage signal to the computer, and converting the voltage signal into a current signal by the computer; and carrying out spectral analysis and least square method fitting, and further calculating to obtain an accurate electronic temperature value and an accurate ion density value. The plasma diagnostic method solves the problem that electronic temperature and ion density measured by adopting the existing fixed-amplitude AC bias probe diagnostic technique are inaccurate, can diagnose the plasma especially insulating deposition environment plasma, can automatically complete the plasma diagnosis process, and output the accurate electronic temperature and ion density values.

The invention discloses a making process of a wind-power blade main model, which belongs to the technical field of wind-power blade molding. The process comprises the following steps of: 1) making a metal steel frame platform at the bottom; 2) laying a wood plate; 3) coating epoxy resin white carbon black filler on the surface of the wood plate, placing multiple EPS (Expandable Polystyrene) polystyrene solid foams according to the shape of the designed main model in a laminated way, and bonding and fixing the EPS polystyrene solid foams; 4) machining profiles of the EPS polystyrene solid foams; 5) pasting glass fiber reinforced plastic airtight layers on the machined profiles in the step 4); 6) detecting the vacuum degrees of the glass fiber reinforced plastic airtight layers; 7) uniformly spreading wood substituted epoxy resin layers on the surfaces of the glass fiber reinforced plastic airtight layers which satisfy the vacuum degree requirements, controlling the spreading thicknesses at about 15-35 mm and curing the wood substituted epoxy resin layers at normal temperature; and 8) machining the surfaces of the wood substituted epoxy resin layers; and then coating gel coat layers on the wood substituted epoxy resin layers and curing and molding the wood substituted epoxy resin layers to obtain the main model. The main model made by using the process disclosed by the invention has the advantages of high profile precision, easiness for construction operation, low making cost as well as contribution to promotion and application.

An image adjustment method for an image forming apparatus in which an adjustment image is formed by transferring a plurality of reference images formed by a color component to be the reference among a plurality of color components and a plurality of images to be adjusted, which are formed by other color component to be adjusted, onto a transfer medium so that the images to be adjusted are superposed on the reference images, the density of the formed adjustment image is detected, and an image forming position of the other color component to be adjusted is adjusted based on the detected density of the adjustment image. The density of the surface of the transfer medium is detected, and the position of forming the image to be adjusted is adjusted, based on the detected density of the surface of the transfer medium and the detected density of the adjustment image.

A method for measuring density, includes: forming on a medium a pattern that consists of a plurality of dot rows formed respectively in a plurality of row regions lined up in a direction intersecting a movement direction in which a plurality of nozzles move, by forming each of the dot rows in the row region arranged in the movement direction by ejecting ink from the nozzles; reading the pattern by a scanner; measuring density of each of the row regions of the read pattern; calculating respective modification values corresponding to each of the row regions, based on at least a part of a measurement result of the density of the plurality of the row regions; and modifying respective measured values of the density of each of the row regions based on the respective modification values corresponding to each of the row regions.