1,728,477 research outputs found
CVR recordings of explosions and structural failure decompressions
No full textRapid identification of the cause of failure is a high priority in the immediate aftermath
of a major civil aircraft accident. Attention is often focused on the two recorders, the
Cockpit Voice Recorder (CVR) and flight data recorder. In the event of sudden,
catastrophic loss of an aircraft through explosions or structural failure decompressions,
the recordings are seen as even more important. Yet these recorders are not designed to
record such events with great fidelity and the ability of accident investigators to
interpret such recordings has been severely tested in several major accidents in the past
thirty years; comparisons between accident recordings have not been able to produce
conclusive results. This paper reports on a programme investigating CVR recordings of
explosions and rapid decompressions on a variety of aircraft from trials in several
countries. In particular we show that CVR recordings are generally unable to
discriminate between explosions and structural failure decompressions and we explain
why this is so. We shall also put forward practical suggestions for systems that may be
able to record these events with greater fidelity and which would provide investigators
in the future with tools to locate the seat of the failure
From CVR to CVRO: The Past, Present, and Future of Cultural Virtual Reality
No full textThe authors first sketch the development of cultural virtual reality (CVR) within the overall context of the development of computing since
the 1940s. After establishing the nature and ubiquity of virtual reality systems, especially in the 1990s, and predicting their further spread
in the coming decade, they argue that the time is ripe for the creation of a new professional association devoted to the computer modeling
of cultural heritage sites. The proposed association will be called CVRO (or, "Cultural Virtual Reality Organization”) – a play on the Latin
word curo ("I care for”; cfr. English "curate”). It will be open to professors, students, and professionals actively engaged in the theory
and practice of cultural virtual reality – the content developers of CVR. The goals of CVRO will include: defining and defending the interests
of its members; holding an annual meeting for the exchange of information; hosting a Web site; and developing aesthetic, scientific, and
technical standards for cultural virtual reality models. Readers wishing to join CVRO are asked to contact one of the co-authors
Customer Voice Retaliation (CVR) Construct Verification: A Rasch Analysis Approach
No full textAbstractThe study on customer complaining behaviour has received significant attention over the past decades. Generally, customers expect a fair treatment for the investments made in a relationship with the organisation. Hence, perceived unfairness will create an impression that they have been betrayed, and thus motivate them to complain as a way of expressing dissatisfaction. In extreme cases, they might opt for aggressive complaining to compensate unfairness. In this study, the term aggressive complaining will be replaced by customer voice retaliation (CVR). Based on previous literatures, a framework was developed to measure CVR which consist of three constructs. The aim of this study is to verify the construct for a new CVR framework. Rasch analysis was used to examine reliability for both respondents and items. It should give us the list of items that should be included in measuring the CVR constructs. Sample used for the study were 27 for pre-testing, and 66 for the pilot study. Respondents consisted of subscribers who had experienced dissatisfaction, and had to some extent performed complaining behaviour. From the pre-test analysis, item polarity indicates that all items were measuring in the same direction. Similarly, the summary statistic from the pilot study indicated that item reliability and item separation was 0.95 and 4.39 respectively, while for person reliability and person separation was 0.95 and 4.6 respectively. However, the result from the pilot test for model Unidimensionality suggested the existence of a secondary dimension which was a possible contributor to multicollinearity problem. This indicates that items for measuring CVR needs to be reviewed and instrument construct validity call for further refinement
CO2-CVR results from 203 healthy subejcts.
No full text(A) Decade-by-decade differences in whole-brain CVR values. Mean and standard deviation of each decade are shown in black. Individual CVR value of each subject is shown in gray circle. (B) Decade-by-decade averaged CVR maps. N = 34, 36, 29, 29, 26, 29 and 20, respective, for each decade.</p
Carmina Poetarvm Cvr Placeant Constantivs Qvam Sapientiae Doctorvm Philosophvmena
No full textCARMINA POETARVM CVR PLACEANT CONSTANTIVS QVAM SAPIENTIAE DOCTORVM PHILOSOPHVMENA
Carmina Poetarvm Cvr Placeant Constantivs Qvam Sapientiae Doctorvm Philosophvmena ([1])
Title page ([1])
Carmina Poetarvm Cvr Placeant Constantivs, Qvam Sapientiae Doctorvm Philosophvmena ([3]
An Iterative Bidirectional Gradient Boosting Approach for CVR Baseline Estimation
No full textThis paper presents a novel Iterative Bidirectional Gradient Boosting Model
(IBi-GBM) for estimating the baseline of Conservation Voltage Reduction (CVR)
programs. In contrast to many existing methods, we treat CVR baseline
estimation as a missing data retrieval problem. The approach involves dividing
the load and its corresponding temperature profiles into three periods:
pre-CVR, CVR, and post-CVR. To restore the missing load profile during the CVR
period, the method employs a three-step process. First, a forward-pass GBM is
executed using data from the pre-CVR period as inputs. Subsequently, a
backward-pass GBM is applied using data from the post-CVR period. The two
restored load profiles are reconciled, considering pre-calculated weights
derived from forecasting accuracy, and only the leftmost and rightmost points
are retained. The newly restored points are then included as inputs for the
subsequent iteration. This iterative procedure continues until the original
load data in the CVR period is fully restored. We develop IBi-GBM using actual
smart meter and Supervisory Control and Data Acquisition (SCADA) data. Our
results demonstrate that IBi-GBM exhibits robust performance across various
data resolutions and in different seasons and outperforms existing methods by
achieving a 1-2% reduction in normalized Root Mean Square Error (nRMSE).Comment: 10 page
Examples of resting-state CVR maps.
No full text(A) CVR map from an healthy subject (28 years of age, male). BOLD imaging parameters were: TR/TE = 2000/25ms, resolution = 3.4x3.4x3.5mm3, 154 dynamics. (B) CVR maps from repeated resting-state runs in a healthy subject (28 years of age, male). BOLD imaging parameters were: TR/TE = 1000/25ms, resolution = 3.4x3.4x5mm3, 300 dynamics.</p
Examples of CO2-CVR results.
No full text(A) Relatiev CVR maps in MNI space from the same 6 subjects shown in Fig 7. (B) Time-shift maps from the same subjects.</p
Effect of PWV on CVR.
No full textCVR was significantly positive in males (p = 0.0072*) and significantly negative in females (p = 0.0431).</p
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