12,143 research outputs found
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
The Metaverse offers a second world beyond reality, where boundaries are
non-existent, and possibilities are endless through engagement and immersive
experiences using the virtual reality (VR) technology. Many disciplines can
benefit from the advancement of the Metaverse when accurately developed,
including the fields of technology, gaming, education, art, and culture.
Nevertheless, developing the Metaverse environment to its full potential is an
ambiguous task that needs proper guidance and directions. Existing surveys on
the Metaverse focus only on a specific aspect and discipline of the Metaverse
and lack a holistic view of the entire process. To this end, a more holistic,
multi-disciplinary, in-depth, and academic and industry-oriented review is
required to provide a thorough study of the Metaverse development pipeline. To
address these issues, we present in this survey a novel multi-layered pipeline
ecosystem composed of (1) the Metaverse computing, networking, communications
and hardware infrastructure, (2) environment digitization, and (3) user
interactions. For every layer, we discuss the components that detail the steps
of its development. Also, for each of these components, we examine the impact
of a set of enabling technologies and empowering domains (e.g., Artificial
Intelligence, Security & Privacy, Blockchain, Business, Ethics, and Social) on
its advancement. In addition, we explain the importance of these technologies
to support decentralization, interoperability, user experiences, interactions,
and monetization. Our presented study highlights the existing challenges for
each component, followed by research directions and potential solutions. To the
best of our knowledge, this survey is the most comprehensive and allows users,
scholars, and entrepreneurs to get an in-depth understanding of the Metaverse
ecosystem to find their opportunities and potentials for contribution
Perceptions of surveillance: exploring feelings held by Black community leaders in Boston toward camera enforcement of roadway infractions
Roadway camera enforcement programs have been found to effectively reduce vehicle travel speeds, as well as decrease the number and severity of collisions. Despite a wealth of evaluative research confirming this enforcement approach's aptitude at promoting safer roadway behavior, fewer than 50 % of US states currently host camera-based programs. Public opposition is frequently cited as the cause for the slow proliferation of this enforcement strategy. However, with public demand for police reform having an increasing presence on the national political stage, how might feelings toward camera technology currently stand among groups most marginalized by existing enforcement systems, and how might those feelings vary by type of enforcement application? Through a series of focus groups, this work centers Black voices on matters of surveillance and roadway enforcement by discussing sentiment toward camera programs with Black community leaders. This discussion is contextually situated in Boston, Massachusetts, where legislation that would allow for camera enforcement of roadway infractions is actively being deliberated in the State Senate. Findings culminate in a list of right-sizing and procedural recommendations for policy makers hoping to gain support for camera enforcement, improve roadway safety, and advance racial equity in our systems of policing and governance
VIVE3D: Viewpoint-Independent Video Editing using 3D-Aware GANs
We introduce VIVE3D, a novel approach that extends the capabilities of
image-based 3D GANs to video editing and is able to represent the input video
in an identity-preserving and temporally consistent way. We propose two new
building blocks. First, we introduce a novel GAN inversion technique
specifically tailored to 3D GANs by jointly embedding multiple frames and
optimizing for the camera parameters. Second, besides traditional semantic face
edits (e.g. for age and expression), we are the first to demonstrate edits that
show novel views of the head enabled by the inherent properties of 3D GANs and
our optical flow-guided compositing technique to combine the head with the
background video. Our experiments demonstrate that VIVE3D generates
high-fidelity face edits at consistent quality from a range of camera
viewpoints which are composited with the original video in a temporally and
spatially consistent manner.Comment: CVPR 2023. Project webpage and video available at
http://afruehstueck.github.io/vive3
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Imagining the future trajectory is the key for robots to make sound planning
and successfully reach their goals. Therefore, text-conditioned video
prediction (TVP) is an essential task to facilitate general robot policy
learning, i.e., predicting future video frames with a given language
instruction and reference frames. It is a highly challenging task to ground
task-level goals specified by instructions and high-fidelity frames together,
requiring large-scale data and computation. To tackle this task and empower
robots with the ability to foresee the future, we propose a sample and
computation-efficient model, named \textbf{Seer}, by inflating the pretrained
text-to-image (T2I) stable diffusion models along the temporal axis. We inflate
the denoising U-Net and language conditioning model with two novel techniques,
Autoregressive Spatial-Temporal Attention and Frame Sequential Text Decomposer,
to propagate the rich prior knowledge in the pretrained T2I models across the
frames. With the well-designed architecture, Seer makes it possible to generate
high-fidelity, coherent, and instruction-aligned video frames by fine-tuning a
few layers on a small amount of data. The experimental results on Something
Something V2 (SSv2) and Bridgedata datasets demonstrate our superior video
prediction performance with around 210-hour training on 4 RTX 3090 GPUs:
decreasing the FVD of the current SOTA model from 290 to 200 on SSv2 and
achieving at least 70\% preference in the human evaluation.Comment: 17 pages, 15 figure
Review of Methodologies to Assess Bridge Safety During and After Floods
This report summarizes a review of technologies used to monitor bridge scour with an emphasis on techniques appropriate for testing during and immediately after design flood conditions. The goal of this study is to identify potential technologies and strategies for Illinois Department of Transportation that may be used to enhance the reliability of bridge safety monitoring during floods from local to state levels. The research team conducted a literature review of technologies that have been explored by state departments of transportation (DOTs) and national agencies as well as state-of-the-art technologies that have not been extensively employed by DOTs. This review included informational interviews with representatives from DOTs and relevant industry organizations. Recommendations include considering (1) acquisition of tethered kneeboard or surf ski-mounted single-beam sonars for rapid deployment by local agencies, (2) acquisition of remote-controlled vessels mounted with single-beam and side-scan sonars for statewide deployment, (3) development of large-scale particle image velocimetry systems using remote-controlled drones for stream velocity and direction measurement during floods, (4) physical modeling to develop Illinois-specific hydrodynamic loading coefficients for Illinois bridges during flood conditions, and (5) development of holistic risk-based bridge assessment tools that incorporate structural, geotechnical, hydraulic, and scour measurements to provide rapid feedback for bridge closure decisions.IDOT-R27-SP50Ope
Building body identities - exploring the world of female bodybuilders
This thesis explores how female bodybuilders seek to develop and maintain a viable sense of self despite being stigmatized by the gendered foundations of what Erving Goffman (1983) refers to as the 'interaction order'; the unavoidable presentational context in which identities are forged during the course of social life. Placed in the context of an overview of the historical treatment of women's bodies, and a concern with the development of bodybuilding as a specific form of body modification, the research draws upon a unique two year ethnographic study based in the South of England, complemented by interviews with twenty-six female bodybuilders, all of whom live in the U.K. By mapping these extraordinary women's lives, the research illuminates the pivotal spaces and essential lived experiences that make up the female bodybuilder. Whilst the women appear to be embarking on an 'empowering' radical body project for themselves, the consequences of their activity remains culturally ambivalent. This research exposes the 'Janus-faced' nature of female bodybuilding, exploring the ways in which the women negotiate, accommodate and resist pressures to engage in more orthodox and feminine activities and appearances
The Adirondack Chronology
The Adirondack Chronology is intended to be a useful resource for researchers and others interested in the Adirondacks and Adirondack history.https://digitalworks.union.edu/arlpublications/1000/thumbnail.jp
Transporte sedimentar de misturas arenosas em ambientes costeiros
Sediment dynamics is a complex subject, playing an important role in coastal areas. The interaction between the wave action and sediment particles is determinant to understand sediment transport. The knowledge of sediment transport in sand mixtures is relevant as the coastal zone usually presents large heterogeneities of sediment particles sizes in the horizontal and vertical directions, which denote the existence of selective transport process.
The goal of the present study was to understand selective sand transport mechanisms associated with wave-dominated conditions. To achieve the proposed objective, the work was supported by several approaches to give insights into the processes associated with heterometric sediment transport. The first approach consisted in a review of the literature to understand what is known and the lack of knowledge in the subject. The second approach consisted in performing a set of experiments with fluorescent sand tracers in natural conditions, at the field, and in a controlled environment, at the laboratory. The experiment conducted at Patos beach, Spain, aimed to observe the behavior of the native sand in the natural environment. The one performed at a large wave flume (Großer Wellenkanal, GWK) in Hannover, considered distinct sediment mixtures under two wave conditions. In both, measurements of the total and fractional transport were made. Finally, a quasi-steady and a semi-unsteady model were considered to calculate the net sediment transport of a large data set, for uniform and graded sand, allowing to identify limitations of the models and to propose new methodologies to obtain more adequate results.
The experimental results obtained in the field allowed to observe the tracer transport towards the beach, in the wave direction, and to characterize the transport of the different fractions of the tracer in terms of the hydrodynamic processes. The laboratory experiment allowed to verify the occurrence of interaction between the sand fractions, with the finer (coarser) sediment decreasing (increasing) their transport, as the percentage of coarse sand in the bed mixture increases.
The validation of the models was conducted and their performance was improved with the introduction of parameters related to surface wave streaming effects and bedforms.A dinâmica sedimentar é um tema complexo, desempenhando um papel importante nas zonas costeiras. A interação entre a ação das ondas e as partÃculas de sedimento é determinante para compreender o transporte sedimentar. O conhecimento do transporte de sedimentos heterométricos é relevante uma vez que a zona costeira apresenta geralmente grandes heterogeneidades na dimensão das partÃculas sedimentares nas direções horizontal e vertical, o que denota a existência de processos seletivos de transporte.
O presente estudo teve como objetivo compreender os mecanismos de transporte seletivo de areia associados a condições hidrodinâmicas dominadas pelas ondas e considerou diferentes abordagens para evidenciar os processos que intervêm no transporte de sedimentos heterométricos. A primeira abordagem consistiu numa revisão da literatura para compreender o conhecimento atual e as lacunas existentes. A segunda abordagem consistiu na realização de um conjunto de experiências com traçadores de areia fluorescente em condições naturais, no campo, e em ambiente controlado, no laboratório. A experiência realizada na praia de Patos, Espanha, visou observar o comportamento da areia nativa em ambiente natural. A experiência realizada no grande canal de ondas (Großer Wellenkanal, GWK) em Hannover, considerou misturas de sedimentos com granulometrias distintas sob duas condições de ondas. Em ambas as experiências, foram feitas medições do transporte total e fracionado. Finalmente, um modelo quase-estacionário e um modelo semi-não estacionário foram considerados para calcular as taxas de transporte sedimentar de um grande conjunto de dados experimentais, para areia uniforme e heterométrica, permitindo identificar limitações dos modelos e propor novas metodologias para obter resultados mais adequados.
Os resultados experimentais obtidos no campo permitiram observar o transporte do traçador em direcção à praia, na direcção das ondas, e caracterizar o transporte das diferentes frações do traçador em termos dos processos hidrodinâmicos. A experiência laboratorial permitiu verificar a ocorrência de processos de interação no transporte das diferentes frações de areia, com a fração mais fina do sedimento (mais grosseira) a diminuir (aumentar) o seu transporte, à medida que a percentagem de areia grosseira na mistura do leito de fundo aumenta.
A validação dos modelos foi realizada e o seu desempenho foi melhorado com a introdução de parâmetros relacionados com os efeitos de streaming e formas de fundo.Programa Doutoral em Ciência, Tecnologia e Gestão do Ma
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Building Together: Problem Solving for Sustainability Consciousness
BUILDING TOGETHER:
PROBLEM SOLVING FOR SUSTAINABILITY CONSCIOUSNESS
FEBRUARY 2022
PAUL M. BOCKO, B.A., UNIVERSITY OF NEW HAMPSHIRE
M.S., ANTIOCH UNIVERSITY NEW ENGLAND
M.Ed. ANITOCH UNIVERSITY NEW ENGLAND
Ph.D., UNIVERSITY OF MASSACHUSETTS AMHERST
Directed by: Professor Linda Griffin
This case study examined the relationship of problem-based learning (PBL) and sustainability education in a combined fifth and sixth grade classroom in the northeast U.S. Research questions focused on PBL instructional strategies that promote sustainability education, skills and understandings promoted by PBL, and the extent that PBL affects students’ sustainability consciousness. One teacher and eleven students participated. Problem-posing, reconstructionist, and sociocultural theories framed the study. Relevant themes were identified in a review of sustainability consciousness (SC) and PreK-12 PBL research reports. The themes revealed that SC is a growing framework with which to assess sustainability education and PBL research has strong links with sustainability education learning outcomes. Survey, interview, artifact, and observational data were analyzed to understand the fifth and sixth grade class as a case study in sustainability education. Results include a learning environment that emphasizes a pedagogy of sustainable thinking, student exhibition of sustainability education skills and understandings, and a lack of quantitative evidence of growth in students’ SC contrasted
with evidence of SC in students’ written work. Findings affirmed prior PBL research focused on group collaboration, interdependency, and reflection. The study identified the need to study PBL in real-world contexts rather than only through problem scenarios. Contributions to knowledge include adding to PBL research literature, highlighting the importance of learning experiences designed to meet a school’s mission, and increasing the use of a new survey instrument.
Keywords: Sociocultural, reconstructionism, problem-based learning, wicked problems, sustainability education, scaffolding, collaboration, interdependency
Behavior prediction of traffic actors for intelligent vehicle using artificial intelligence techniques: A review
Intelligent vehicle technology has made tremendous progress due to Artificial Intelligence (AI) techniques. Accurate behavior prediction of surrounding traffic actors is essential for the safe and secure navigation of the intelligent vehicle. Minor misbehavior of these vehicles on the busy roads may lead to an accident. Due to this, there is a need for vehicle behavior research work in today's era. This research article reviews traffic actors' behavior prediction techniques for intelligent vehicles to perceive, infer, and anticipate other vehicles' intentions and future actions. It identifies the key strategies and methods for AI, emerging trends, datasets, and ongoing research issues in these fields. As per the authors' knowledge, this is the first systematic literature review dedicated to the vehicle behavior study examining existing academic literature published by peer review venues between 2011 and 2021. A systematic review was undertaken to examine these papers, and five primary research questions have been addressed. The findings show that using sophisticated input representation that includes traffic rules and road geometry, artificial intelligence-based solutions applied to behavior prediction of traffic actors for intelligent vehicles have shown promising success, particularly in complex driving scenarios. Finally, the paper summarizes the most widely used approaches in behavior prediction of traffic actors for intelligent vehicles, which the authors believe serves as a foundation for future research in behavior prediction of surrounding traffic actors for secure and accurate intelligent vehicle navigation
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