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Magnitude estimation experiments involve asking observers to directly assign numerical values to the magnitude of their perceptions The utility of such experimental techniques was brought into focus by the classic study of Stevens (1961) Magnitude estimation experiments allow the rather direct measurement of the magnitudes of color appearance attributes such as lightness, chroma, and hue for various stimuli and viewing conditions These data can then be used to evaluate various color appearance models and derive new models The most extensive series of experiments on the magnitude scaling of color appearance has been carried out through the Loughborough University of Technology Computer Human Interface (LUTCHI) Research Centre as published in a series of papers by Luo et al (1991a,b, 1993a,b, 1995), the results of which have been summarized by Hunt and Luo (1994) 1 Luo et al.

from these acquisition devices are rst generated from the examination site and then sent through the communication network to the expert center if they are already in digital format. Otherwise, if these images are stored on lms, they must be digitized rst by a lm scanner to acceptable quality for diagnosis at the examination site before they are sent. 15.3.2.1 Image Capture In image capture, if the original image data are on lm, then either a video frame grabber or a laser lm digitizer is used to convert them to digital format. A video frame grabber produces low-quality digital images but is faster and cheaper. On the other hand, laser lm digitizers produce very high quality

(1991a) Six or seven observers were each asked to scale the lightness, colorfulness, and hue of between 61 and 105 stimuli presented in a series of 21 different viewing conditions The viewing conditions varied in white point, medium, luminance level, and background The results showed that the most signi cant in uences on color appearance were background and white point Other effects were not clearly present in the data One reason for this is the intrinsically high uncertainty in magnitude estimation experiments The uncertainty in the data was expressed in terms of coef cients of variation CV which can be thought of as percentage standard deviations The overall CV values for intra-observer variability were about 13 for lightness, 18 for colorfulness, and 9 for hue No color appearance models were evaluated in part I.

One problem with the LUTCHI studies is the rather unusual choice of appearance attributes that were scaled, lightness, colorfulness, and hue The authors claim that colorfulness is more natural than chroma However, chroma is the more appropriate attribute to scale with lightness It is the attribute that observers normally associate with objects, and it does not require that the observers be taught its de nition At a single luminance level it is probably reasonable to assume that chroma and colorfulness are related by a simple scaling factor However, there is no reason to believe that chroma and colorfulness are linearly related across changes in luminance..

Restarting an application on the same host reduces the disruption in service experienced by clients..

Some users find the grid annoying, but when you first start to use AutoCAD or AutoCAD LT, you may find it helpful. Even accomplished users can take advantage of the grid, especially when starting a new drawing.

removing people with expertise and experience, and downsized organisations often find that they lose a great deal of valuable knowledge, experience and skills that had not previously been taken into account, with significant implications for decision making, pfoblem solving and innovation. Given the steady turnover in e-business professionals, it is important to codify, capture and store people s expertise and tacit knowledge.

The Sender Policy Framework (SPF), formerly Sender Permitted From, is an extension to the older mail sending protocol, Simple Mail Transfer Protocol (SMTP), which provided almost no sender verification of email. SPF makes it easy to counter most forged From addresses in email, thus helping to counter email source address spoofing. When a user sends you mail, an email server connects to your email server. When the message comes in, your email servers can, based on SPF published addresses of its email servers, tell if the server on the other end of the connection actually belongs to the sender. AOL is a big supporter and deployer of SPF. It recently pulled out of development of Sender ID, another mail verification protocol. SPF is deployed around the world; the email servers of more than 86,000 domains use the authentication technology, as of this writing. SPF is not an IETF standard yet, but it has a good chance of becoming a standard, and will be submitted soon. SPF is not expected to totally eliminate spam, but it s another weapon in the fight against spam and phishing.