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In emerging sensor network applications it is necessary to accurately orient the nodes with respect to a global coordinate system in order to report data that is geographically meaningful. Furthermore, basic middle ware services such as routing often rely on location information (e.g., geographic routing). Application contexts and potential massive scale make it unrealistic to rely on careful placement or uniform arrangement of sensors. Rather than use globally accessible beacons or expensive GPS to localize each sensor, we would like the sensors to self-organize a coordinate system. This chapter reviews localization hardware, discusses issues in localization algorithm design, present the most important localization techniques, and nally suggests future directions in localization. The goal of this chapter is to outline the technical foundations of today s localization techniques and present the tradeoffs inherent in algorithm design. No speci c algorithm is a clear favorite across the spectrum. For example, some algorithms rely on pre-positioned nodes while others are able to do without. Other algorithms require expensive hardware capabilities. Some algorithms need a way of performing off-line computation, while other algorithms are able to do all their calculations on the sensor nodes themselves. Localization is still a new and exciting eld, with new algorithms, hardware, and applications being developed at a feverish pace; it is hard to say what techniques and hardware will be prevalent in the end. 9.1 INTRODUCTION

following discussion, some applications of LTA in the behavioral sciences are brie y described The LTA mathematical model and related issues are then presented by extending the empirical example on adolescent depression Previously we discussed the modeling of substance use onset and smoking cessation within the latent class framework Because individuals class membership in each of these sequences can change over time, it may be interesting to collect data at more than one wave and examine patterns of change between consecutive times The transtheoretical model of behavior change presented earlier (see Figure 262) is, in this case, a sequence of four stages: precontemplation, contemplation, action, and maintenance LTA has been used to test competing models of smoking behavior as individuals move from one stage to another (Martin et al, 1996; Velicer et al, 1996) The stage-sequential model of substance use onset has been modeled extensively using LTA.

This option upgrades an existing (and presumably older) version of KnoppMyth to whatever the current version may be (as of this writing, that s R5A30-2). Most of these configuration steps resemble those in the Automatic Installation procedure just recounted, and are therefore not reproduced here. Once installation finalizes, you are delivered to the specified KnoppMyth GUI and presented with a console window that walks you through reconfiguring MythTV. Those options appear later in this chapter, under the KnoppMyth Post-Installation Tasks heading. Once you re on the KnoppMyth desktop, you can issue the following command on any console to update your system:

Listing 8-3 (continued)

where Dctosc(tRk) is the measured clock bias rate at time tRk. We now have to deal with a set of four equations with four unknown variables: xr, yr, zr, and ctosc(tR1). The computation is then absolutely identical to that currently carried out by a GPS receiver, and one can use the linearization method in order to compute a three-dimensional positioning. As one may conclude, we have moved to a local frame of reference for convenience.

6.5. Contractile Properties of Circular EHTs Contractile force and twitch kinetics of electrically stimulated EHTs were investigated under isometric conditions. At Lmax , twitch tension (TT) amounted to 0.36 0.06 mN at a resting tension (RT) of 0.27 0.03 mN. Contraction and relaxation time (T1 and T2) were 83 2 ms and 154 9 ms, respectively. An increase in extracellular calcium enhanced TT from 0.34 0.06 to 0.75 0.11 mN, with a maximal inotropic response at 1.6 mM (Fig. 11.12a), RT and twitch kinetics remained unchanged. -Adrenergic stimulation induced a maximal increase of TT

Collins et al (1997) examined the relationship between heavy caffeine use and adolescent substance use Other covariates of substance use onset have been explored using LTA, including pubertal timing (Hyatt & Collins, 1999), parental permissiveness (Hyatt & Collins, 2000), and exposure to adult substance use (Tracy, Collins, & Graham, 1997) A similar application of LTA incorporated a DSM-IV diagnosis of alcohol abuse and dependence (AAD) at age 21 as the grouping variable, and modeled group differences in the stage sequence of alcohol use during elementary, middle, and high school The stage sequence of drinking behaviors included the following four latent classes: nonuse, initiated only, initiated and currently using, and initiated and currently using with heavy episodic drinking Different drinking patterns that emerged in middle and high school were related to individuals subsequent AAD diagnosis (Guo, Collins, Hill, & Hawkins, 2000).

Chelladurai and Riemer (1998) noted that although there was enough evidence of adequate psychometric properties of the LSS, there was also the need to revise the scale in terms of its subscale structure One area where such efforts may focus is to make the LSS more comprehensive such that it taps all the dimensions of critical coaching behavior More specifically, Chelladurai and Riemer suggested that the essence of transformational leadership needs to be incorporated in the scheme In the transformational process, coaches are expected to (a) incite the higher order needs of members, ( b) motivate them to perform beyond expectations, (c) express confidence in members, and (d) empower them (eg, B Bass, 1985) This perspective is discussed in greater detail later in this chapter Revised Leadership Scale for Sports Zhang, Jensen, and Mann (1997) modified and revised the LSS to include more dimensions and items.