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Preliminary electrothermal simulation of the SiGe HBT device during an HBM ESD event was completed using a two-dimensional nite-element cross-section of the SiGe HBT device. A full SiGe semiconductor process was de ned using the TSUPREME semiconductor process tool. Finite-element electrothermal simulation was completed using the FIELDAY III device simulator. The FIELDAY formulation is based on the three moments of the Boltzmann transport equations, conservation of charge equations, and lattice-energy conservation relationships. The constitutive equations for electron- and hole-current densities account for the current ow caused by thermal gradients. The constitutive equation for lattice energy ux represents the Fourier law of heat conduction. The lattice energy consists of the Joule heating and energy exchange with carriers and the lattice. To simulate an HBM pulse, the Van Roozendaal double-exponential current waveform is used in the FIELDAY simulator [69,70]. Figure 6.12 shows the temperature eld in the SiGe HBT device where the cross-section was sliced through the center of the emitter structure, using a re ecting thermal boundary condition (dT/dy 0) with thermal contacts and proper thermal boundary conditions established at other interfaces. In the study, the simulation was completed with the test in common-emitter con guration. The emitter window is in the upper right corner of the device. In the common-emitter mode, the peak temperature can be observed in the collector region. In SiGe HBT devices, the base doping concentration is signi cantly higher than the collector region. As a result, the Joule heating in the collector region plays a signi cant role in the transient temperature eld T(x,y,t) in the SiGe HBT device. The darkest contour is the region of peak heating during the collector-to-emitter region.

10.3.1.4 Crow s Foot/Feet Notation There are several alternatives to Chen s ER/EER notation that share a common characteristic known informally as crow s foot notation or crow s feet notation (CFN) [Everest86]. This notation was invented by Gordon Everest, who originally called it an inverted arrow but now calls it a fork. Each of these names refers to the representation used for RTs (and, in particular, their cardinalities). While Chen s notation could support any value for the minimum and maximum cardinalities of a relationship type (e.g., 4:8 or 5:N ), the strict CFN will limit us to a smaller set of possible cardinalities because it represents the cardinalities graphically rather than textually we could add the textual cardinalities to the CFN to achieve the same representational power, but then we are no longer simply using the notation (and these numbers can clutter the diagram if the model is complex or simply large). In CFN, each end of an RT connection can only represent one of four possible cardinality combinations (see Figure 10.4). Although there are several conceptual modeling alternatives that use the CFN, and their actual representations can vary slightly, the notation shown in Figure 10.4 is a reasonably common one. In a CFN

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and a smaller ID enjoys a higher priority. In Fig. 15.2a, node IDs are distributed orderly; and in Fig. 15.2b, node IDs are randomly distributed. The time slot assignment results, in terms of total number of time slots used (i.e., time slot cycle), are roughly the same for the two examples. Except node 35 in Fig. 15.2b, which has a time slot 7, all other nodes in Fig. 15.2a and 15.2b have a time slot between 0 and 6.

repertoire This repertoire enables the person to follow directions It is constituted not only of a large number of verbs, but also of adverbs, nouns, adjectives, and other grammatical elements For example, most people could respond appropriately to the request to Go quickly, please, to the top-left drawer of my dresser and bring me the car keys because they have learned motor responses to the relevant words involved Important human skills involve special developments of the verbal-motor subrepertoire As examples, ballet dancers, violinists, NFL quarterbacks, mechanics, and surgeons have special verbal-motor repertoires that are essential parts of their special skills Another important part of language is the verbalassociation repertoire When the word salt is presented as a stimulus in a word-association task, a common response is pepper or water However, an occasional person might respond by saying wound or of the earth or something else that is less usual.

Most people no longer use old-fashioned oppy disks, which is why many new computers don t include oppy drives. However, if you still have old les or programs from many years ago stored on oppies, you should consider keeping a oppy drive in your computer. If your drive no longer works or if you don t have one you can buy a brand new one for a few dollars and install it yourself.

Years ago it was believed that differences in associations had personality implications, and word-association tests were given with diagnostic intent Analysis of word associations as one of the subrepertoires of the language-cognitive repertoire suggests more de nitively and speci cally that this constitutes a part of personality Consider a study by Judson, Cofer, and Gelfand (1956) One group of subjects learned a list of words that included the sequence rope, swing, and pendulum The other group learned the same list of words, but the three words were not learned in sequence Both groups then had to solve a problem by constructing a pendulum from a light rope and swinging it The rst group solved the problem more quickly than did the second Thus, in the present view the reasoning ability of the two groups depended on the word associations they had learned.

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