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In this chapter, we outlined three approaches to understanding the structure of categories and how these categories are organized into hierarchies: the set theoretical model from biological classification, the basic-level issue studied by cognitive psychologists, and the folk taxonomic model investigated by anthropologists. The set theoretical model of biological classification is not a good fit for the structure of the DSM given that the diagnostic categories are not mutually exclusive and the contrast sets specified in the DSM-IV are not restricted to diagnoses within the same node of the hierarchy. Viewing psychopathology in terms of a prototype approach does have its uses, but authors of the DSM-III-R and DSMIV paid relatively little attention to empirical studies that used clinicians as subjects. Finally, we outlined the principles of folk taxonomic theory and how it offers a language as well as a methodology for studying hierarchy and hierarchical systems. This generative theory and methodology could be quite powerful in understanding the taxonomies of psychopathology and how clinicians use these taxonomies. As mentioned, the previous revisions of the DSM focused on the definitions of individual mental disorder categories; the organization of those categories into hierarchies is an area that has hardly been addressed. Because of this lack of attention, the DSM has become ungainly. First, the earliest version of the DSM had only two major and one minor category at the highest level of this system. The most recent substantive revision of the DSM (i.e., the DSM-IV, 1994) has 17 higher level categories. Second, the number of levels in the DSM varies widely depending on the superordinate category, whereas most natural hierarchies have a similar number of levels across superordinate categories. The anxiety disorders have no intermediate-level categories between the diagnostic level and the superordinate category anxiety disorders, whereas the sexual disorders have several intermediate categories between the diagnostic level and the superordinate level. Third, the divisions of diagnostic-level categories are not based on any sort of logic. Within the superordinate category disorders first diagnosed in childhood, divisions of the diagnosis
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clinical scales include Hypochondriasis (Hs), Depression (D), Conversion Hysteria (Hy), Psychopathic deviate (Pd), Masculinityfemininity (Mf), Paranoia (Pa), Psychasthenia (Pt), Schizophrenia (Sc), Hypomania (Ma), and Social Introversion (Si). Scores are normed using standardized T-scores, meaning that each scale has a mean of 50 and a standard deviation of 10. Scores above 65 (representing one-and-one-half standard deviations above the mean) are considered elevated, and in the clinical range. While 65 is the cut off score on the MMPI-2 and MMPI-A, 70 is used with the original MMPI. Table 8.4 provides a description of each of the MMPI scales.
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the deadline expires decide to remain active for the considered round, and send a message to all its neighbors informing them about the decision. Such a message is called positive acknowledgment [60]. The process repeats in each round in synchronous fashion. The details of the protocol given in ref. [60] include how the time-out is decided, and how the area coverage and connectivity tests are performed. First consider the case of equal sensing and transmission radii. One important property of the protocol is that no prior knowledge about neighbor existence and location is required. That is, there is no communication overhead coming from the preprocessing step to collect neighborhood information. The test for connectivity of covering circles must be performed whenever 2S . R, where S and R are sensing and transmission radii. The network can reselect covering nodes periodically to spread the sensing cost dynamically over all nodes in a fair manner. This method signi cantly extends the network s life. If the density is more than 30 nodes per unit area, the areadominating graph is sparse, with nodes having on average three neighbors (this is valid when sensing and communication ranges are equal). In addition, the distance between its two neighboring nodes is typically two-thirds of the transmission radius. Hence, active nodes form a very simple network with a structure similar to regular hexagonal tiling. 11.4.7 Multiple Sensor Area Coverage
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The associated system of reference is the Geographical Referential (with reference to a meridian of origin). From this referential, it is also possible to de ne a Cartesian referential, called the Earth-Centered Earth-Fixed (ECEF). The main parameters are as follows (see Fig. 2.12d):
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Fundamentals of Telecommunications. Roger L. Freeman Copyright 1999 Roger L. Freeman Published by John Wiley & Sons, Inc. ISBNs: 0-471-29699-6 (Hardback); 0-471-22416-2 (Electronic)
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1. IEEE 802.15.2 WG, Part 15: Coexistence of wireless personal area networks with other wireless devices operating in unlicensed frequency bands, IEEE, New York, Aug. 2003. 2. IEEE 802.11 WG, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) speci cation, IEEE, New York, Aug. 1999. 3. IEEE 802.11b WG, Part 11: Wireless LAN medium access control (MAC) and physical layer (PHY) speci cations: High-speed physical layer extension in the 2.4 GHz band, supplement to IEEE 802.11, IEEE, New York, Sept. 1999. 4. IEEE 802.15.1 WG, Part 15.1: Wireless medium access control (MAC) and physical layer (PHY) speci cations for wireless personal area networks (WPANs), IEEE, New York, June 2005. 5. J. Lansford, A. Stephens, and R. Nevo, Wi-Fi (802.11b) and Bluetooth: Enabling coexistence, IEEE Network 15(5), 20 27 (2001). 6. C. F. Chiasserini and R. R. Rao, Coexistence mechanisms for interference mitigation in the 2.4-GHz ISM band, IEEE Trans. Wireless Commun. 2(5), 964 975 (2003). 7. I. Howitt, WLAN and WPAN coexistence in UL band, IEEE Trans. Vehic. Technol. 50(4), 1114 1124 (2001). 8. I. Howitt, Bluetooth performance in the presence of 802.11b WLAN, IEEE Trans. Vehic. Technol. 51(6), 1640 1651 (2002). 9. A. Conti, D. Dardari, G. Pasolini, and O. Andrisano, Bluetooth and IEEE 802.11b coexistence: Analytical performance evaluation in fading channels, IEEE J. Sel. Areas Commun. 21(2), 259 269 (2003).
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