L-1011 testing with relaxed static stability

Wind tunnel and flight tests indicate that fuel savings of 2 percent can be achieved by center of gravity (C.G.) management for an L-1011 with the current wing configuration. The normal c.b. location is at 25 percent mean aerodynamic center (MAC). The maximum fuel saving occurs for a C.G. location of 35 percent MAC. However, flight at 35 percent requires that the C.G. range be extended aft of the 35-percent point. Flight at C.G. locations aft or 35 percent requires a pitch active control system (PACS) so that handling qualities are not significantly degraded. The development of this PACS is discussed

Report of the AHG on MPEG-7 Semantic Information Representation

This AHG has been created at the last MPEG meeting in Maui to work in parallel with the CE experiment on the Semantic DS, so as to continue the refinement, both in terms of significance, usage and syntax of the DS’s that have been proposed during the Maui meeting [2] . Following the discussions on the email reflector, the results of a meeting of the US delegation in February and of the discussion during the AHG meeting Mar. 19th, 2000, in Noordwijkerhout, some clarifications were made, though a total convergence has not yet been reached. During the US delagate meeting, an alternative syntax had also been proposed for consideration of the continuation of the CE; it is likely that this will lead to the formulation of competitive solutions to select the best syntax and elementary components of the Semantic DS during the CE process to follow after the 51st MPEG meeting. Below, some listings of the discussions that took place, in reference to the individual mandates of this AHG

Twenty-four hour metabolic rate measurements utilized as a reference to evaluate several prediction equations for calculating energy requirements in healthy infants

<p>Abstract</p> <p>Background</p> <p>To date, only short-duration metabolic rate measurements of less than four hours have been used to evaluate prediction equations for calculating energy requirements in healthy infants. Therefore, the objective of this analysis was to utilize direct 24-hour metabolic rate measurements from a prior study to evaluate the accuracy of several currently used prediction equations for calculating energy expenditure (EE) in healthy infants.</p> <p>Methods</p> <p>Data from 24-hour EE, resting (RMR) and sleeping (SMR) metabolic rates obtained from 10 healthy infants, served as a reference to evaluate 11 length-weight (LWT) and weight (WT) based prediction equations. Six prediction equations have been previously derived from 50 short-term EE measurements in the Enhanced Metabolic Testing Activity Chamber (EMTAC) for assessing 24-hour EE, (EMTACEE-LWT and EMTACEE-WT), RMR (EMTACRMR-LWT and EMTACRMR-WT) and SMR (EMTACSMR-LWT and EMTACSMR-WT). The last five additional prediction equations for calculating RMR consisted of the World Health Organization (WHO), the Schofield (SCH-LWT and SCH-WT) and the Oxford (OXFORD-LWT and OXFORD-WT). Paired t-tests and the Bland & Altman limit analysis were both applied to evaluate the performance of each equation in comparison to the reference data.</p> <p>Results</p> <p>24-hour EE, RMR and SMR calculated with the EMTACEE-WT, EMTACRMR-WT and both the EMTACSMR-LWT and EMTACSMR-WT prediction equations were similar, p = NS, to that obtained from the reference measurements. However, RMR calculated using the WHO, SCH-LWT, SCH-WT, OXFORD-LWT and OXFORD-WT prediction equations were not comparable to the direct 24-hour metabolic measurements (p < 0.05) obtained in the 10 reference infants. Moreover, the EMTACEE-LWT and EMTACRMR-LWT were also not similar (p < 0.05) to direct 24-hour metabolic measurements.</p> <p>Conclusions</p> <p>Weight based prediction equations, derived from short-duration EE measurements in the EMTAC, were accurate for calculating EE, RMR and SMR in healthy infants.</p

Report of CE on Semantic DS

ISO/IEC JTC1/SC29/WG11, MPEG00/M6355, 53rd meeting, Jul. 2000, Beijing, PR

Report of CE on Semantic DS

This document reports on the core experiment on the Semantic DS [5]. The Semantic DS allows describing the world depicted by the AV content and interpreting that world, i.e., the “about” of the AV content or depicted narrative reality, which sometimes is imaginary. The CE originally started at the Maui meeting in December 1999 [4]. Progress reports of the CE were provided at the Geneva meeting [1], at the Beijing meeting [3], and at the La Baule meeting [2]. In La Baule, some components of the Semantic DS were promoted to the WD - Semantic DS, SemanticBase DS, Object DS, Event DS, AgentObject DS, SemanticPlace DS, SemanticTime DS, MediaOccurrence DS, and semantic relations-, and others were promoted to the XM – SemanticState DS, Concept DS, and AbstractionLevel datatype. The goal of this CE is to continue the refinement and evaluation of the Semantic DS and to continue the evaluation of the use of membership functions to describe relation strength. The AbstractionLevel datatype was promoted to CD before Pisa. At Pisa, the work to update the specification of the the SemanticTime, SemanticPlace, and Event DSs and to explain the methods for abstraction and the use of abstract concepts was started. The main tasks of this core experiment have been the following: 1. To refine the specification of the Semantic DS by solving open issues identified by reviewers and previous CEs; 2. To recommend the standardization of more semantic relations; 3. To continue the investigation of the use of membership functions to describe the strength of relations; 4. To generate simple and complex semantic descriptions of multimedia material, 5. To continue the implementation of a retrieval and browsing application/s that use/s the generated descriptions and that show/s the functionality of the DSs in the MDS XM, and 6. To recommend changes and additions to the Semantic DS based on the results of the experiment. The retrieval application that the CE continued the development of the software that had already been integrated into the XM for the Semantic DS

Semantics of Multimedia in MPEG-7

In this paper, we present the tools standardized by MPEG-7 for describing the semantics of multimedia. In particular, we focus on the abstraction model, entities, attributes and relations of MPEG-7 semantic descriptions. MPEG-7 tools can describe the semantics of specific instances of multimedia such as one image or one video segment but can also generalize these descriptions either to multiple instances of multimedia or to a set of semantic descriptions. The key components of MPEG-7 semantic descriptions are semantic entities such as objects and events, attributes of these entities such as labels and properties, and, finally, relations of these entities such as an object being the patient of an event. The descriptive power and usability of these tools has been demonstrated in numerous experiments and applications, these make them key candidates to enable intelligent applications that deal with multimedia at human levels