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hen you use interactive effects on your site, you engage your viewers They participate in an experience Most interactive effects involve the users manipulating what they see on the screen in some way In Technique 21, users drag a magnifying lens around the screen, which magnifies the image beneath the lens Technique 22 creates draggable movies The movie can be any animation you want Technique 23 is a scrollable slide show, with an added twist the images blur for a second before becoming crystal clear Use Technique 24 to enable viewers to control what they see they can pan anywhere in an image and zoom in or out In Technique 25, you create a 360-degree panorama and viewers can scroll anywhere throughout the image Technique 26 creates a draggable mask A mask is a window that displays whatever is beneath the mask As your viewers drag the mask, they uncover different areas of an image The last technique, Technique 27, creates interactive shadows As you move the cursor, the shadows move in the opposite direction

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As you can see, there is a real method and an art to setting up and using a video camera Lighting, distance, background, motion, and so on can all be determining factors in the success or failure of your streaming video Video capture is only a portion of completing your video session You must now edit your work with editing software There are many good editing software packages available in the marketplace, and in 3 I will show you examples of how to edit your steaming files using a digital camera and an iMac

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igital video is becoming very prevalent in today s workplace and even at home In many of your internal applications while streaming, you may have to use standard inputs such as composite or S-Video, but now you have a chance to use higher-quality digital input, which is becoming more readily available in the latest devices With digital video cameras and entry-level computers growing increasingly common, pretty much anyone can put video online Because video quality is so important while we wait for broadband to arrive, I encourage you to make sure you do your homework and lay out the type of streaming system you foresee using now, as well as 12 months and 3 years from now Although technologies will get better, actual techniques stay pretty much the same Video editing, the subject of this chapter, is a case in point

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The design of fuzzy controllers is one of the largest application areas of fuzzy logic Where fuzzy logic is frequently described as computing with words rather than numbers, fuzzy control is described as control with sentences rather than equations Thus, instead of describing the control strategy in terms of di erential equations, control is expressed as a set of linguistic rules These linguistic rules are easier understood by humans than systems of mathematical equations The rst application of fuzzy control comes from the work of Mamdani and Assilian [554] in 1975, with their design of a fuzzy controller for a steam engine The objective of the controller was to maintain a constant speed by controlling the pressure on pistons, by adjusting the heat supplied to a boiler Since then, a vast number of fuzzy controllers have been developed for consumer products and industrial processes For example, fuzzy controllers have been developed for washing machines, video cameras, air conditioners, etc, while industrial applications include robot control, underground trains, hydro-electrical power plants, cement kilns, etc This chapter gives a short overview of fuzzy controllers Section 221 discusses the components of such controllers, while Section 222 overviews some types of fuzzy controllers

chapter that uses the Apple computer system Thus, I have put together this how-toedit chapter using Apple s iMac For those of you who do not have an Apple iMac, the basic principles of editing still apply

A fuzzy controller can be regarded as a nonlinear static function that maps controller inputs onto controller outputs A controller is used to control some system, or plant The system has a desired response that must be maintained under whatever inputs are received The inputs to the system can, however, change the state of the system, which causes a change in response The task of the controller is then to take corrective action by providing a set of inputs that ensures the desired response As illustrated in Figure 221, a fuzzy controller consists of four main components, which are integral to the operation of the controller: Fuzzy rule base: The rule base, or knowledge base, contains the fuzzy rules that represent the knowledge and experience of a human expert of the system These rules express a nonlinear control strategy for the system

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