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We consider a speci c free ight operational concept that has been developed within a recent European research project [37] In the free ight air traf c example, the airspace is an en-route airspace without xed routes and without support by air traf c control All aircraft ying in this airspace are assumed to be properly equipped and enabled for free ight: the pilots can try to optimize their trajectory, due to the greater freedom to choose path and ight level The pilots are only limited by their responsibility to maintain airborne separation, in which they are assisted by the so-called Airborne Separation Assistance System (ASAS) This system processes the information ows from he data-communication links between aircraft, the navigation systems and the aircraft guidance and control systems ASAS detects con icts, determines con ict resolution maneuvers and presents the relevant information to the aircrew The number of agents involved in the free ight operation is huge and ranges from the Control Flow Management Unit to ight attendants In the setting chosen for an initial risk assessment, the following agents are taken into account: one ying pilot in each aircraft; one non- ying pilot in each aircraft; various systems and entities per aircraft, such as the aircraft position evolution and the con ict management support systems; some global systems and entities, such as the communication frequencies and a satellite system The approach taken in developing the speci c free ight concept of operation [37] is to avoid much information exchange between aircraft and to avoid dedicated decision-making by arti cial intelligent machines Although the con ict detection and resolution approach developed for this free ight concept has its roots in the modi ed potential eld approach [30], it has some signi cant deviations from this The main deviation is that con ict resolution is intentionally designed not to take the potential eld of all aircraft into account The resulting design can be summarized as follows: All aircraft are supposed to be equipped with Automatic Dependent Surveillance-Broadcast (ADS-B), which is a system that periodically broadcasts own aircraft state information, and continuously receives the state information messages broadcasted by aircraft that y within broadcasting range ( 100 Nm).

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Random transmission errors, 99 Randomized sensor placement, 230 Range-free techniques, 359 Rayleigh distributed random variable, 80 RBS protocol, 509 Real-time data, 27 Received signal strength indicator (RSSI), 311 313, 343 RECRUIT message, 173 Recursive position estimation, (RPE), 325, 526 algorithm, 328 329 Reference broadcast synchronization, 509 Relative neighborhood graphs (RNGs), 204 Relative removal rate, 53 Reliable event communication, 122 spatiotemporal correlation, 122 Reliable information forwarding using multiple paths (ReIn-ForM) protocol, 149 Reprogramming algorithm, 60 properties, 60 Reprogramming protocol, 59 Request message, 55 Resource-oriented protocol (ROP), 32, 33 analysis of, 36 performance of, 33 RFID tags, 98 Robust distributed algorithms, 424 Robust distributed protocols, 424 Robust position computation, 528 Round trip time (RTT), 279 Route discovery phase, 498 Route request (RREQ) packet, 33 Routing algorithms, 130 Routing protocols, 130 applications, 131 design issues, 131, 132 Routing protocols taxonomy, 129 Replay attack, 525 SAR algorithm, 138 Scalable energy-ef cient asynchronous dissemination (SEAD), 273 Scale-free topology, 53 earch Phase, 441 427 Secure node-to-node communication, 472 Secure localization technique, 527. QR Maker In Visual C# Using Barcode generator for .Related: .NET EAN-8 Generator , Create ITF-14 Java , C# QR Code Generator

The optical thickness of a layer is T = K,ed = d/l mIp is the number of mean free path in he layer thickness Thus in the random media problem, we have at least three distance scales: A, 1, and lmIp with lmIp usually a much larger distance than A and l When lmIp c::: A, it is known as the IoffeReggi criterion signifying the onset of strong localization [Sheng, 1990] In the remote sensing problem, at microwave frequencies, lmIp ranges from lOA to thousands of wavelengths The Foldy's approximation can be regarded as a cumulative result of many layers with single scattering in each layer to yield an effective propagation constant for the coherent wave We also have the following observation Long distance multiple scattering can occur over distance d lmIp' Such multiple scattering over a long distance can be studied by ca.'icading "thin" layers with D lmIp.

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This is also the idea of invariant imbedding Invariant imbedding in radiative transfer theory is described in 8, Section 3 of Volume 1 In the next section we will generalize the scalar point scatterer case to vector electromagnetic case However, it is to be noted that we have assumed in this section that the point scatterers have negligible coherent mutual interaction Nevertheless, there are cases when the point scatterers are in the neighborhood of each other so that there is strong coherent neighborhood mutual interaction For example, the scatterer can be in clusters (locally dense) or densely distributed (uniformly dense as in dense media) In such cases there can be important coherent multiple scattering and correlated scattering among scatterers in the neighborhood of each other Such effects have been simulated in Volume II Obviously this is a different kind of multiple scattering from the long-distance multiple scattering.

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