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are developed, these can be introduced to the customers just by adding complementary servers to the applications and services complex. This enables the service providers to roll out new services rapidly and very cheaply. Note that in traditional PSTN networks, introduction of a new service may take more than a year for software and system integration because of lack of openness and modularity of the service or system architecture. In the networking scenario shown in Figure 7-4, an on-net call may not need to use any resources from the traditional PSTN network, and for o -net calls, it may be necessary to use only a minimal amount of resources for call setup and control. This is due to the fact that the on-net calls may originate from and terminate at either the same or any two call and MGW controllers connected to the same (service provider s) IP network. The IP-PSTN MGW would not be involved in the RTP tunnel or session that is needed for transmission of a voice signal during such a call. CATV Networks As mentioned earlier in this chapter, the newly allocated upstream (below 40 MHz) and downstream (600 to 750 MHz) bands can be used for real-time twoway and interactive services including the VoIP service. However, the development of equipment and market trial of the VoIP service over CATV networks did not start until the DOCSIS 1.1 (data over cable service interface speci cations version 1.1, www.cablelabs.com, 2001) based packet-cable architecture framework 1.0 (www.packetcable.com, 2001) was de ned for delivering IPbased services to CATV users. DOCSIS 1.1 de nes how to provide data services, such as Internet services, over hybrid ber coax (HFC) based cable TV networks by incorporating a cable modem (CM) and a multimedia terminal adapter (MTA) on the customer s (or client s) side, and by adding a cable modem termination system (CMTS) at the head end. The CM performs basic RF modulation/ demodulation, and signals and controls the services o ered over the media streams. In addition to supporting interfaces and signaling for TV services, the MTA contains CODECs, digital signal processing (DSP) chipsets, and interfaces such as RJ-11, RJ-45, and USB. These features are required to support all of the signaling and encapsulation functions for delivering the PSTN CLASS features and the necessary level of QoS for supporting the VoIP service. The CMTS is an HFC network head-end device that provides connectivity to the wide-area IP network. CMTS implements DOCSIS RF interface speci cations-based media access control for managing the connection and services to the MTA via the CM. The services include QoS signaling, tra c shaping, packet marking, reserving bandwidth, supporting data and terminal security via encryption, key management and CM authentication, and so on. Packet-cable architecture framework 1.0 de nes the network elements and their interfaces that are required to interconnect DOCSIS 1.1 HFC network s CMTS to the PSTN network via a managed IP backbone or transport
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vation angle) to the satellite. Distance increases as the pointing angle to the satellite decreases (elevation angle). We thus are dealing with very long distances. The time required to traverse these distances namely, earth station to satellite to another earth station is on the order of 250 ms. Round-trip delay will be 2 250 or 500 ms. These propagation times are much greater than those encountered on conventional terrestrial systems. So one major problem is propagation time and resulting echo on telephone circuits. It in uences certain data circuits in delay to reply for block or packet transmission systems and requires careful selection of telephone signaling systems, or call-setup time may become excessive. Naturally, there are far greater losses. For LOS microwave we encounter free-space losses possibly as high as 145 dB. In the case of a satellite with a range of 22,300 mi operating on 4.2 GHz, the free-space loss is 196 dB and at 6 GHz, 199 dB. At 14 GHz the loss is about 207 dB. This presents no insurmountable problem from earth to satellite, where comparatively high-power transmitters and very-high-gain antennas may be used. On the contrary, from satellite to earth the link is power-limited for two reasons: (1) in bands shared with terrestrial services such as the popular 4-GHz band to ensure noninterference with those services, and (2) in the satellite itself, which can derive power only from solar cells. It takes a great number of solar cells to produce the RF power necessary; thus the downlink, from satellite to earth, is critical, and received signal levels will be much lower than on comparative radiolinks, as low as 150 dBW. A third problem is crowding. The equatorial orbit is lling with geostationary satellites. Radio-frequency interference from one satellite system to another is increasing. This is particularly true for systems employing smaller antennas at earth stations with their inherent wider beamwidths. It all boils down to a frequency congestion of emitters. It should be noted that by the year 2000, we can expect to see several low earth-orbit (LEO) satellite systems in operation. These satellites typically orbit some 500 km above the earth.
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It is then possible to return to the direction vectors in the Oxyz referential by simply applying the following transformations to the initial directing vectors [note that the 0 0 0 0 new DOAs are now de ned by (u 1, F 1) and (u 2, F 2)]: 0 1 0 1 0 0 sin u1 cos F1 sin u1 cos F1 @ sin u 0 sin F 0 A M 1 M 1 M 1 @ sin u1 sin F1 A ux uy uz 1 1 0 cos u1 cos u1 and 0 1 0 1 0 0 sin u2 cos F2 sin u2 cos F2 @ sin u 0 sin F 0 A M 1 M 1 M 1 @ sin u2 sin F2 A: (8:41) ux uy uz 2 2 0 cos u2 cos u2 These two equations allow us to calculate the different angles in the Oxyz referential (note that ux, uy, and uz are embedded in the previous equations). From this point, it is possible to de ne the equations of the straight lines from satellites 1 and 2 to the mobile position, respectively: a1 xr b1 yr c1 zr d1 0 A1 xr B1 yr C1 zr D1 0 and a2 xr b2 yr c2 zr d2 0 A2 xr B2 yr C2 zr D2 0, (8:42)
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Buddy lists and blogs are updated automatically; the only effort for the user is to con gure them according to her desires. 7.2.2 ContextWatcher Setup The ContextWatcher is a thin client application, written in Python and running on Series 60 mobile phones, including many models from Nokia, Samsung and Lenovo. The application handles the user interaction, and integrates locally with attached context sensors, such as GPS or heart-rate sensors, and remotely with a palette of different Context Providers and Context Reasoners. An architecture impression is shown in Figure 7.3. The ContextWatcher application is modular in set-up, being able to combine different components and tabs from different developers, resulting in a dynamically con gurable application set-up and automatic updates on component level. This way multiple versions of the same application can be offered (e.g. light, target group speci c, and full), the application is easy to extend by new developers, and it is easy to maintain for existing developers. Due to the modular set-up, the ContextWatcher is in fact one application that can be accommodated to multiple application scenarios in which context gathering, sharing and reasoning is a key element. The ContextWatcher was originally targeted to support family members to stay in touch in an unobtrusive and entertaining manner, but has grown to an application that can easily be con gured to support other scenarios, from a bird spotter community sharing their latest and most favourite bird spottings, pictures and sounds in a real-time fashion, to business people having their one-click business report with all their travels and business experiences. Interaction with the distributed network of Context Providers (CPs) is via the mobile GPRS or UMTS networks. Data read from the local sensors will be pushed to the remote CPs. These
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Among the four algorithms, WFPQ has the least overall delay (76.16 ms), followed by DFPQ (76.24 ms), followed by max-min fair allocation (76.47 ms), and WFQ (76.54 ms). DFPQ has the maximum throughput (maximum number of received packets) and the least delay in the case of BES and nrtPS. Thus, in this scenario, we can say that DFPQ performs best. The throughput for the nrtPS and BES ows keeps in view the higher load offered by them. Yet, UGS has the least delay and BES the maximum. Thus, the heavy load from the lower priority traf c does not effect the delays of higher priority traf c. Comparing with GPSS, we nd that UGS delays are almost the same. GPSS has lower delays for rtPS and nrtPS, whereas GPC has lower delay for BES. Also, throughput for UGS and RTPS is the same. GPSS has more throughput (number of packets received) for nrtPS, whereas GPC has more throughput for BES.
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Next, we turn to cluster analysis. In Discovering Knowledge in Data: An Introduction to Data Mining [2] we demonstrated hierarchical clustering, k-means clustering, and Kohonen clustering. For this case study, however, we shall apply the BIRCH clustering algorithm [5]. The BIRCH algorithm requires only one pass through the data set and therefore represents a scalable solution for very large data sets. The algorithm contains two main steps and hence is termed two-step clustering in Clementine. In the rst step, the algorithm preclusters the records into a large number of small subclusters by constructing a cluster feature tree. In the second step, the algorithm then combines these subclusters into higher-level clusters, which represent the algorithm s clustering solution. One bene t of Clementine s implementation of the algorithm is that unlike k-means and Kohonen clustering, the analyst need not prespecify the desired number of clusters. Thus, two-step clustering represents a desirable exploratory tool. For this case study, two-step clustering was applied with no prespeci ed desired number of clusters. The algorithm returned k= 3 clusters. The two main advantages of clustering are (1) exploratory cluster pro ling, and (2) the use of the clusters as inputs to downstream classi cation models. Figure 7.26 provides an excerpt from Clementine s cluster viewer. Across the top are the clusters, ordered by number of records per cluster, so that cluster 2 (8183 records) comes rst, followed by cluster 3 (7891 records) and cluster 1 (5666 records). Down the left side are found variable names, in this case all of which are ags. In each row are found bar charts for that particular variable for each cluster. Since all the variables in Figure 7.26 are ags, the rst bar in each bar chart represents 0 (false) and the second bar represents 1 (true). Note that the bars representing 1 (i.e., a true value for the ag) for cluster 3 are consistently higher than those for clusters 1 or 2. In other words, for every variable listed in Figure 7.26, the proportion of true ag values for cluster 3 is greater than that for the other two clusters. For example, the proportion of customers in cluster 3 who spent money at the AX store is larger than the proportions for the other clusters, and similarly for the other variables in Figure 7.26. Continuing our exploration of these clusters, Table 7.8 contains the mean values, by cluster, for a select group of numeric variables. Table 7.9 displays the proportion of true ag values, by cluster, for a select group of ag variables. Armed with the information in Figure 7.26, Tables 7.8 and 7.9, and similar information, we now proceed to construct pro les of each cluster. r Cluster 1: moderate-spending career shoppers
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RC: Receiving code Frame Slot 1 Beacon Information packet transmission (RC of receiver) . . . Information packet transmission (RC of receiver) Control message exchange Request ACK (common code) (RC of requester) Slot 2 . . . Slot M
Leary, D. (1987). Telling likely stories: The rhetoric of the new psychology, 1880 1920. Journal of the History of the Behavioral Sciences, 23, 315 331. Logan, C. A. (1999). The altered rationale for the choice of a standard animal in experimental psychology: Henry, H. Donaldson, Adolf Meyer, and the albino rat. History of Psychology, 2, 3 24. Mandler, G., & Kessen, W. (1959). The language of psychology. New York: Wiley. Marshall, M. (1982). Physics, metaphysics, and Fechner s psychophysics. In W. R. Woodward & M. G. Ash (Eds.), The problematic science: Psychology in nineteenth thought (pp. 65 81). New York: Praeger. Maslow, A. (1966). The psychology of science. New York: Harper & Row. Mateer, F. (1918). Child behavior. Boston: Badger. McCosh, J. (1886). Psychology: The cognitive powers. New York: Scribner s. McCosh, J. (1887). Psychology: The motive powers. New York: Scribner s. McGeoch, J. (1942). The psychology of human learning. New York: Longmans, Green. McGraw, M. (1935). Growth: A study of Johnny and Jimmy. New York: Appleton-Century-Crofts. McGraw, M. (1943). The neuromuscular maturation of the human infant. New York: Columbia University Press. McReynolds, P. (1996). Lightner Witmer: A centennial tribute. American Psychologist, 51, 237 240. Melton, A. W. (1956). Present accomplishments and future trends in problem-solving and learning theory. American Psychologist, 11, 278 281. Milar, K. S. (1999). A coarse and clumsy tool: Helen Thompson Wooley and the Cincinnati Vocation Bureau. History of Psychology, 2, 219 235. Milar, K. S. (2000). The rst generation of women psychologists and the psychology of women. American Psychologist, 55, 616 619. Miller, G. (1956). The magical number seven plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, 81 97. Mills, E. (1969). George Trumbull Ladd: Pioneer American psychologist. Cleveland, OH: Case Western Reserve. Mills, J. A. (1998). Control: A history of behavioral psychology. New York: New York University Press. Miner, B. (1904). The changing attitude of American universities toward psychology. Science, 20, 299 307. Morgan, C. L. (1898). Animal intelligence: An experimental study. Nature, 58, 249 250. Morgan, C. L. (1890 1891). Animal life and intelligence. London: Edward Arnold. Morgan, C. L. (1896) Habit and instinct. London: Edward Arnold.
In any ARQ system there is the possibility of requiring a retransmission of a given message. There are on the other hand communication systems for which the full-duplex mode is not allowed. An example of one of them is the communication system called paging, a sending of alphanumerical characters as text messages for a mobile user. In this type of communication system, there is no possibility of requiring retransmission in the case of a detected error, and so the receiver has to implement some error-correction algorithm to properly decode the message. This transmission mode is known as forward error correction (FEC).
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