133,756 research outputs found
Image Morphing with the Beier-Neely Method
No full textThe Beier-Neely feature-based image-morphing method is studied. Then, software implementing the Beier-Neely image-morphing method, designed and developed by the author, is presented. The software consists of three programs. The first program is a graphical user interface (GUI) used to manually select feature line segments. The second program is a morphing program that generates a morphing image sequence, where each intermediate frame in the sequence represents a stage in the morphing process. The third program converts the image sequence produced to a video that displays the image morphing effect.Graduat
Telegram from Bertha Wells Mead, Washington, D. C., to Lucine Finch and Edwin W. Finch, Greenwich, Connecticut, September 29, 1926
No full textNotes and correspondence of sympathy written the Julia Neely Finch's family on her death
Letter from Bertha Wells Mead, Washington, D. C. , to Edwin Finch and Lucine Finch, September 30, 1926
No full textNotes and correspondence of sympathy written the Julia Neely Finch's family on her death
Technical analysis and central bank intervention
No full textThis paper extends the genetic programming techniques developed in Neely, Weller and Dittmar (1997) to show that technical trading rules can make use of information about U.S. foreign exchange intervention to improve their out-of-sample profitability for two of four exchange rates. Rules tend to take positions contrary to official intervention and are unusually profitable on days prior to intervention, indicating that intervention is intended to check or reverse predictable trends. Intervention seems to be more successful in checking predictable trends in the out-of-sample (1981-1996) period than in the in-sample (1975-1980) period. We conjecture that this instability in the intervention process prevents more consistent improvement in the excess returns to rules. We find that the improvement in performance results solely from more efficient use of the information in the past exchange rate series rather than from information about contemporaneous intervention.Banks and banking, Central ; Foreign exchange
Technical trading rules in the European Monetary System
No full textUsing the genetic programming methodology developed in Neely, Weller and Dittmar (1997), we find trading rules that generate significant excess returns for three of four EMS exchange rates over the out-of-sample period 1986-1996. Permitting the rules to use information about the interest rate differential proved to be important. The reduction in volatility resulting from the imposition of a narrower band may reduce trading rule profitability. The currency for which there was least evidence of significant excess returns was the Dutch guilder, which was also the only currency that remained within a band of 2.25% throughout our sample period. Our results cannot be duplicated by the moving average or filter rules commonly used by technical analysts or by two trading rules designed specifically to exploit known features of target zone exchange rates. The observed excess returns cannot be explained as compensation for bearing systematic risk.Foreign exchange ; European Monetary System (Organization)
Natural climate solutions
No full textModerator: Renée Rondeau. Panelists: Imtiaz Rangwala, Bruce Rittenhouse, George Schisler, Betsy Neely, and Robin O'Malley.Presented at the 2018 CNHP Partners Meeting held on March 9, 2018 in the Grand Ballroom D, Lory Student Center, Colorado State University Campus, Fort Collins, Colorado.Panelists discuss the benefits for nature and people with natural climate solutions
Explorative study into the design and use of visual reporting systems in project and programme management environments
No full textProject and programme management environments are extremely challenging, dynamic
places to work. Understanding issues and correcting poor performance is crucial to the
successful achievement of project/programme objectives, yet many organisations struggle
to develop reporting systems that are efficient and still provide accurate insight.
In response to this problem, this thesis describes collaborative academic-industrial research
into the use of a visually-based poster-size reporting system, referred to as the Dashboard.
Given the exploratory nature of the research, a grounded theory, case study methodology
was selected. Two case studies are presented: one at programme level involving a national
utilities and roadside recovery organisation and one at project level, conducted with a
support services company. The case studies were conducted over 20 and 9 month periods
respectively. Data was collected from a number of sources including formal and informal
interviews, workshops, company documentation, researcher diaries and for the second case
study, through action research.
The Researcher found that a visual reporting system is an effective way of reporting status
and performance, though is better suited to programme rather than project management
environments. Specifically, it is effective as a communications and knowledge transfer
mechanism to both internal and external stakeholders. Secondly, the visual approach can
leverage mechanisms for developing trusting relationships between stakeholders, which
could lead to more effective team working. 'Mese findings are important as they address
common reasons for project failure.
Finally, the type of organisational culture has been shown to have a significant impact in
the longer-term success of a visual reporting system. Where there is a culture of blame, of
protecting information or where participative management practices are not embraced, the
visual approach is unlikely to be successful beyond providing performance visibility and
remedying actions in the short-term
Technical analysis and central bank intervention
No full textThis paper extends the genetic programming techniques developed in Neely, Weller and Dittmar (1997) to
show that technical trading rules can make use of information about U.S. foreign exchange intervention to
improve their out-of-sample profitability for two of four exchange rates. Rules tend to take positions
contrary to official intervention and are unusually profitable on days prior to intervention, indicating that
intervention is intended to check or reverse predictable trends. Intervention seems to be more successful in
checking predictable trends in the out-of-sample (1981-1996) period than in the in-sample (1975-1980)
period. We conjecture that this instability in the intervention process prevents more consistent improvement
in the excess returns to rules. We find that the improvement in performance results solely from more
efficient use of the information in the past exchange rate series rather than from information about
contemporaneous intervention
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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