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27.5 BENEFITS OF LTVS Based on the HCCII prototype system, LTVS demonstrates the following bene ts: 1. A patient can be clearly identi ed and tracked through the course of radiological examinations if the patient, with a photograph taken during the registration, carries a Wi-Fi location tag. It also allows the of ce administrator to understand the operational bottlenecks at the clinical site and recommend improved work ow. 2. Healthcare providers can know the patient location and the overall time a patient spent during the examination. Prompts can be put in place when the patient has remained in the waiting room for more than a speci c amount of

5. High-Pulse-Energy Phase Conjugated Laser System C. Brent Dane and Lloyd A. Hackel 5.1 5.2 Introduction High-Energy SBS Phase Conjugation 5.2.1 5.2.2 5.2.3 5.3 5.3.1 5.3.2 5.3.3 5.3.4 5.3.5 5.4 5.4.1 5.4.2 5.4.3 5.4.4 5.4.5 5.5 5.5.1 5.5.2 5.5.3 5.5.4 5.6 The Question of Fidelity Versus Input Energy The Experimental Measurement of SBS Wavefront Fidelity The Input Pulse Rise-Time Requirement Design Considerations for the 15-ns System Optical Architecture of the 15-ns System SBS Phase Conjugation with a Liquid Cell Operation of the 25-J/Pulse 15-ns Laser System Summary of the 15-ns High-Energy Laser System Design Considerations for the 500-ns System Optical Architecture of the 500-ns System Long-Pulse SBS Phase Conjugation Output Characteristics of the 500-ns Laser System Summary of the 500-ns High-Energy Laser System Design Considerations for the Phase-Locked System Optical Architecture of the Phase-Locked System Output Characteristics of the 100-J Laser System Summary of the 100-J Phase-Locked Laser System

(6.192)

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3. acad2006doc.lsp: Document-level initialization file loaded by AutoCAD 2006 4. acaddoc.lsp: User-defined document-level initialization file

Figure 19-9: A page containing two floating boxes along with other elements and the result of converting the floating boxes to a grid

where { ~ ( ie)( , ) } are defined as in (10.11) and (10.12). In other words, we seek a solution i w that is closest to w - and ensures an equality constraint between ~ ( and e ( i ) . This i i1 i ) constraint is different from the one we employed earlier in (10.13) for LMS, and it becomes relevant when the step-size p is small enough to satisfy

Content-type (Line 25) Identifies the type of character encoding (text/plain) used for the message text, and the character set (charset) used to represent character data (US-ASCII, the common keyboard character set).

H values of this type can therefore be directly determined in an isobaric calorimeter by direct measurement of q.

The first step is to handle the two different top-level elements. This is accomplished by using an or operator in the select XPath expression at the top level of the stylesheet. It will match on documents with either prod-search or price-update as their root element. It would be possible to give both XSQL pages the same root element, but it isn t a good practice. Though very similar, the two different XML schemas are distinct.

Drawing surfaces with 3DFACE and PFACE Creating 3D polygon meshes Drawing standard 3D shapes Drawing a revolved surface Creating extruded, ruled, and edge surfaces

So, generalization performs aggregation even when parts are not speci ed This means that it subsumes the aggregation It subsumes the abstraction, too In all cases concerning abstraction the term generalization is applicable Generalization is typically applied when a similarity and observations are discovered, and a general rule should be introduced The term abstraction is inappropriate in this case Conclusion: Generalization subsumes both aggregation and abstraction This is a more general procedure of which aggregation and abstraction are particular cases 111010 Nesting Nesting is a property of recursively applying the same procedures of multiresolutional knowledge processing by using the operator of processing at a level for consecutively processing information of all levels The results of Sensory Processing of all levels are nested one within another, World Models are nested one within another, and the decisions generated within the module of Behavior Generation are nested one within another.

10 15 20 IMD (dBc]) 25 30 35 40 45 50 14 12 10 8 6 4 2 0 OBO (dB) TL 2nd HM Class-FG

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