96,991 research outputs found
Ethnic Conversions : Family, Community, Women, and Kinwork
According to the straight-line theory of assimilation, ethnic groups by the third or fourth generation should be entirely assimilated into mainstream society and should identify themselves as Americans. Yet there has been a resurgence of ethnicity among white ethnics in the United States that has led to a renewed interest in particular ethnic groups and their cultures. Third- and fourth-generation European Americans claim an ethnic identity even though their ties to their ancestral homeland may be tenuous. Lithuanian Americans in Kansas City, Kansas, in the 1950s, 1960s and 1970s would seem to provide support for the straight-line theory of assimilation, yet since the 1980s they have reconstituted themselves through the Lithuanians of America organization and are experiencing a renewal of their ethnic identity. The Lithuanian American community in Seattle, Washington, also experienced ebbs and flows in the activism and unity of its members. The community was active at the turn of the twentieth century, next revitalized by Lithuanian emigres following World War II, and then became active again in the late 1970s after a decade of inaction. Members of the two groups were given questionnaires in the early 1990s to address the ethnic identity fluctuations as well as the role of non-ethnics in the organizations. One of the more exciting findings from the surveys and from participant observation was the extensive role of ethnic converts in the Kansas City organization, and their lesser (but still significant) role in the Seattle Lithuanian-American community
The History of Glatfelter Hall
A history of one of the oldest buildings on the Gettysburg College Campus, Glatfelter Hall. The paper covers the time period from the construction of the building in 1888 to after its first major renovation in 1929
Vision-based analysis of pedestrian traffic data
Reducing traffic congestion has become a major issue within urban environments. Traditional approaches, such as increasing road sizes, may prove impossible in certain scenarios, such as city centres, or ineffectual if current predictions of large growth in world traffic volumes hold true. An alternative approach lies with increasing the management efficiency of pre-existing infrastructure and public transport systems through the use of Intelligent Transportation Systems (ITS). In this paper, we focus on the requirement of obtaining robust pedestrian traffic flow data within these areas. We propose the use of a flexible and robust stereo-vision pedestrian detection and tracking approach as a basis for obtaining this information. Given this framework, we propose the use of a pedestrian indexing scheme and a suite of tools, which facilitates the declaration of user-defined pedestrian events or requests for specific statistical traffic flow data. The detection of the required events or the constant flow of statistical information can be incorporated into a variety of ITS solutions for applications in traffic management, public transport systems and urban planning
Evaluating a dancer's performance using Kinect-based skeleton tracking
In this work, we describe a novel system that automatically evaluates dance performances against a gold-standard performance and provides visual feedback to the performer in a 3D virtual environment. The system acquires the motion of a performer via Kinect-based human skeleton tracking, making the approach viable for a large range of users, including home enthusiasts. Unlike traditional gaming scenarios, when the motion of a user must by kept in synch with a pre-recorded avatar that is displayed on screen, the technique described in this paper targets online interactive scenarios where dance choreographies can be set, altered, practiced and refined by users. In this work, we have addressed some areas of this application scenario. In particular, a set of appropriate signal processing and soft computing methodologies is proposed for temporally aligning dance movements from two different users and quantitatively evaluating one performance against another
The effect of blade aerodynamic modelling on the prediction of high-frequency rotor airloads
Interactions between the blades and vortical structures within the wake of a helicopter rotor are a significant source of impulsive loading and noise, particularly in descending flight. Brown's Vorticity Transport Model has been used to investigate the influence of the fidelity of the local blade aerodynamic model on the accuracy with which the high-frequency airloads associated with blade-vortex interactions can be predicted. The Vorticity Transport Model yields a very accurate representation of the structure of the wake, and allows significant flexibility in the way that the blade loading, and hence the source of vorticity into the wake, can be represented. Two models for the local blade aerodynamics are compared. The first is a simple lifting-line model and the second is a somewhat more sophisticated lifting-chord model based on unsteady thin aerofoil theory. A marked improvement in accuracy of the predicted high-frequency airloads of the HART II rotor is obtained when the lifting-chord model for the blade aerodynamics is used instead of the lifting-line type approach. Errors in the amplitude and phase of the loading peaks are reduced and the quality of the prediction is affected to a lesser extent by the computational resolution of the wake. Indeed, the lifting-line model increasingly overpredicts the amplitude of the lift response to blade-vortex interactions as the computational grid is refined, exposing clearly the fundamental deficiencies in this commonly-used approach particularly when modelling the aerodynamic response of the blade to interactions with vortices that are much smaller than its chord. In comparison, the airloads that are predicted using the lifting-chord model are relatively insensitive to the resolution of the computation, and there are fundamental reasons to believe that properly converged numerical solutions may be attainable using this approach
Selected Readings on Ethnicity, Family and Community
Selected Readings on Ethnicity, Family and Community; compiled by Mary E. Kelly, Central Missouri State University, and Thomas W. Sanchez, University of Nebraska- Lincoln
Web Single Sign-On Authentication using SAML
Companies have increasingly turned to application service providers (ASPs) or Software as a Service (SaaS) vendors to offer specialized web-based services that will cut costs and provide specific and focused applications to users. The complexity of designing, installing, configuring, deploying, and supporting the system with internal resources can be eliminated with this type of methodology, providing great benefit to organizations. However, these models can present an authentication problem for corporations with a large number of external service providers. This paper describes the implementation of Security Assertion Markup Language (SAML) and its capabilities to provide secure single sign-on (SSO) solutions for externally hosted applications
Magnetic properties of quasi-one-dimensional lanthanide calcium oxyborates CaLnO(BO)
This study examines the lanthanide calcium oxyborates CaLnO(BO)
(Ln = La, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Y, Er, Yb). The reported monoclinic
structure (space group ) was confirmed using powder X-ray diffraction. The
magnetic Ln ions are situated in well-separated chains parallel to the c
axis in a quasi-one-dimensional array. Here we report the first bulk magnetic
characterisation of CaLnO(BO) using magnetic susceptibility
(T) and isothermal magnetisation M(H) measurements at T 2 K. With
the sole exception of CaTbO(BO), which displays a transition at T =
3.6 K, no magnetic transitions occur above 2 K, and Curie-Weiss analysis
indicates antiferromagnetic nearest-neighbour interactions for all samples.
Calculation of the magnetic entropy change indicates that
CaGdO(BO) and CaHoO(BO) are viable magnetocaloric
materials at liquid helium temperatures in the high-field and low-field regimes
respectively.Comment: 9 pages, 6 figures. Accepted by Inorganic Chemistry, 28 May 202
A graph-spectral approach to shape-from-shading
In this paper, we explore how graph-spectral methods can be used to develop a new shape-from-shading algorithm. We characterize the field of surface normals using a weight matrix whose elements are computed from the sectional curvature between different image locations and penalize large changes in surface normal direction. Modeling the blocks of the weight matrix as distinct surface patches, we use a graph seriation method to find a surface integration path that maximizes the sum of curvature-dependent weights and that can be used for the purposes of height reconstruction. To smooth the reconstructed surface, we fit quadrics to the height data for each patch. The smoothed surface normal directions are updated ensuring compliance with Lambert's law. The processes of height recovery and surface normal adjustment are interleaved and iterated until a stable surface is obtained. We provide results on synthetic and real-world imagery
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