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Laboratory environment, multimedia ePR systems and, 770 771 Laboratory medicine, telemicroscopy in, 462 Laboratory Scheduled Work ow (LSWF), 291 Large medical imaging systems, application of LDSE to, 550 552 Large-scale hospital information system, 388 Large-scale PACS, 9, 18 implementation of, 21 Laser lm digitizers, 12, 447 448 Laser lm scanner, 73 74 block diagram of, 75 speci cations of, 75 Lasers in minimally invasive spinal surgery, 740, 742 MISS intra-op stage and, 762 Laser scanning digitizer, 34 Laser-stimulated luminescence phosphor imaging plate, 75 principle of, 76, 77 Law, Maria Y. Y., lii LCD monitors, 372 373. See also Liquid crystal display (LCD) LCD workstations, in PACS implementation, 580 LDGW gateways, in PACS implementation, 588 LDSE[RS] methods. See also Lossless digital signature embedding (LDSE[RS]) 2-D, 542 544, 545, 546 548, 550 554 3-D, 544, 548 550, 550 554 Least signi cant bit (LSB), in data embedding, 529 Ledley, Robert S., xliii, xlix Legacy data migration system (LDMS), in UCLA PACS, 609, 611 Legacy PACS, in PACS implementation, 585 Legacy PACS archive data migration, in UCLA PACS, 608 611 Legacy PACS systems, 24 Lemke, Heinz U., xl, 2, 9, 10, 22 Level value, 362 Light alternator, characteristics of, 351 Light imaging, 2-D, 98 105 Lin, Brent J., lii Linear accelerator (LINAC), 160 162 Linear translation 3-D scanning, 131 Line spread function (LSF), 45 46, 49, 50 of a DR unit, 85, 87 Liquid crystal display (LCD), 27, 352. See also LCD entries in PACS implementation, 580 Live display, in MISS intra-op stage, 763 764 Live network switch, in PACS implementation, 583 Local, de ned, 431 Local area network (LAN), 239 Local image storage, 306 308 Localization of AIH candidates, in CAD detecting small acute intracranial hemorrhage on brain CTs, 786, 788 789 Local registration, 149

From the DVD menu you can use the desktop or remote control to perform all of the actions you would perform using a standard DVD player and its remote control. You can play, pause, stop, fast forward and rewind, skip or repeat chapters, and access the DVD menu. Table 11-1 lists the actions performed from your remote control.

T h e foliowing ideas clearly overlap and are not intended to provide a sequential process for reducing costs and boosting profits. Rather, they are intended t o provide a thoughtprovoking guide t o the main areas of cost control and profit maxi in i sat i on .

Use very little memory and very few CPU cycles so as not to attract attention Hide itself from the Task List and from the Uninstall List Be invisible to the person being monitored Support remote installation and the capability to remotely retrieve keystroke logs

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McCann, R S, and Johnston, J C (1992) Locus of the single-channel bottleneck in dual-task interference Journal of Experimental Psychology: Human Perception and Performance, 18, 471 484 [2] McCarthy, J (1987) Generality in arti cial intelligence Communications of the ACM, 30(1), 1030 1035 [11] McDougall, W (1908/1923) An Introduction to Social Psychology Methuen & Co London [2] McKay, K N (1987) Conceptual Framework for Job Shop Scheduling MASc Dissertation, University of Waterloo [6] McKay, K N (1992) Production Planning and Scheduling: A Model for Manufacturing Decisions Requiring Judgement PhD thesis, University of Waterloo [6] McKay, K N, and Buzacott, J A (2000) The application of computerized production control systems in job shop environments Computers in Industry, 42, 79 97 [7] McKay, K, Pinedo, M, and Webster, S (2002) Practice-focused research issues for scheduling systems Production and Operations Management, 11(2), pp 249 258 [7] McKay, K.

P1: KOA WY050-02 WY050-Ulick-v4 September 19, 2004 10:56

The advantage of supervised classi cation is that it avoids a wavelength selection step or the interpretation of PCA loading. It also rapidly extracts several chemical components. These methods provide accurate results provided the sample spectra are similar to the reference spectra. In our case the powder agglomeration was heterogeneous and the layers had a high content of excipient, making it possible to apply supervised classi cation. 4.3.5.5 Further Developments: Online Analysis by Hyperspectral Imaging