5,786 research outputs found
Design and Implementation of Hierarchical Digital Twins in Industrial Production Environments
The increasing requirements for industrial production environments due to customer expectations, the implementation of batch size 1, and further automation of production processes are confronting companies with new challenges. In particular, the emergence of cyber-physical systems is influencing and complicating manufacturing processes by capturing an increasing amount of information within production facilities. Digital twins are an interdisciplinary technology that may solve these issues because they serve to monitor, control, and optimize cyber-physical systems by creating a digital representation of real-world objects. Existing concepts for digital twins usually consider specific and independent objects. This is of limited use for production environments due to a multitude of different machines and associated sensor types. Therefore, we propose a requirements catalog, concept, and prototypical implementation for the hierarchical structuring of digital twins in this paper
Sensing Collectives: Aesthetic and Political Practices Intertwined
Are aesthetics and politics really two different things? The book takes a new look at how they intertwine, by turning from theory to practice. Case studies trace how sensory experiences are created and how collective interests are shaped. They investigate how aesthetics and politics are entangled, both in building and disrupting collective orders, in governance and innovation. This ranges from populist rallies and artistic activism over alternative lifestyles and consumer culture to corporate PR and governmental policies. Authors are academics and artists. The result is a new mapping of the intermingling and co-constitution of aesthetics and politics in engagements with collective orders
From P.E. to Protests: the History of Dance Activism in Academia: 1920–2022
Title from PDF of title page, viewed June 15, 2023Dissertation advisor: Donna DavisVitaIncludes bibliographical references (pages 179-190)Dissertation (Ed.D.)--Department of Educational Leadership, Policy, and Foundations. University of Missouri--Kansas City, 2023Throughout history, dance has been regarded as an act of rebellion. This art form has persisted to become a means for the common person to demonstrate impassioned objections to issues from racism and religious oppression to communism, plastic waste, and human trafficking. As early as the plantation era, dance has provided a means of physical intervention throughout U.S. history. With its origins in departments of physical education, dance became a fixture in higher education—first as an artistic aesthetic, then as a weapon for battle. While much has been written about the history and development of dance in U.S. institutions of higher education and about the role of dance in American activism, little has been written about the history of how these roles emerged to exist in tandem. This historical study discusses the role of dance activism in higher education. Firstly, how dance has historically existed as the embodiment of opposition, followed by a discussion about how the introduction of dance into higher education served as a form of activism for women. This study delves into the social injustices that exist within and outside of the academy, as well as the historical events that have led to advances in thought and the practice of dance in higher education. The literature revealed that at every turn in the evolution of dance in higher education, there was activism.Introduction -- Early dance academe and activism (1920s-1970s) -- Here to stay - the solidification of dance in higher education (1970s-2000s) -- From the stage to the streets: dance activism in academia (2000-2022) -- Dance activism in higher education: current experiences, perspectives, and progressive thoughts -- The power of storie
Tradition and Innovation in Construction Project Management
This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings
Augmented Behavioral Annotation Tools, with Application to Multimodal Datasets and Models: A Systematic Review
Annotation tools are an essential component in the creation of datasets for machine learning purposes. Annotation tools have evolved greatly since the turn of the century, and now commonly include collaborative features to divide labor efficiently, as well as automation employed to amplify human efforts. Recent developments in machine learning models, such as Transformers, allow for training upon very large and sophisticated multimodal datasets and enable generalization across domains of knowledge. These models also herald an increasing emphasis on prompt engineering to provide qualitative fine-tuning upon the model itself, adding a novel emerging layer of direct machine learning annotation. These capabilities enable machine intelligence to recognize, predict, and emulate human behavior with much greater accuracy and nuance, a noted shortfall of which have contributed to algorithmic injustice in previous techniques. However, the scale and complexity of training data required for multimodal models presents engineering challenges. Best practices for conducting annotation for large multimodal models in the most safe and ethical, yet efficient, manner have not been established. This paper presents a systematic literature review of crowd and machine learning augmented behavioral annotation methods to distill practices that may have value in multimodal implementations, cross-correlated across disciplines. Research questions were defined to provide an overview of the evolution of augmented behavioral annotation tools in the past, in relation to the present state of the art. (Contains five figures and four tables)
2023-2024 Boise State University Undergraduate Catalog
This catalog is primarily for and directed at students. However, it serves many audiences, such as high school counselors, academic advisors, and the public. In this catalog you will find an overview of Boise State University and information on admission, registration, grades, tuition and fees, financial aid, housing, student services, and other important policies and procedures. However, most of this catalog is devoted to describing the various programs and courses offered at Boise State
Towards Aggregate Programming in pure Kotlin through compiler-level metaprogramming
The last few decades have seen significant technological advancements in computing, the internet, and mobile technology, leading to the growth of the Internet of Things (IoT). This has resulted in a network of physical devices embedded with sensors, software, and connectivity, which can collect and share data. However, this growth has also brought new challenges, such as the need for complex software engineering to take advantage of the computational infrastructure available while considering unpredictability and communication heterogeneity.
This thesis explores the aggregate programming, which is a paradigm based on field calculus, and it allows for the easy manipulation of data across devices, making it possible to perform operation on the data of distributed systems, in a simple and efficient manner. The paradigm has been implemented in various programming languages and platforms, such as Protelis, Scafi and FCPP.
This thesis proposes a new implementation of the aggregate programming paradigm, called Collektive.
The aggregate programming paradigm requires the communication of the devices to be coordinated through the alignment, which keeps track of the computational state of each device. The work done in this thesis explores different Kotlin metaprogramming techniques in order to solve this problem, illustrating the final solution achieved through the implementation of a Kotlin compiler plugin, which is totally transparent and portable.
The project provides the user a minimal DSL, which is compatible with multiple platforms, such as JVM, JavaScript and Kotlin Native. This is possible because of the features offered by Kotlin Multiplatform, which is used for the implementation of the DSL. Moreover, this thesis addresses the validation process carried out to test the correct behavior of the system, which guarantees that Collektive can be considered at the same level of the existing aggregate programming implementations
Multimodal stance-taking in interaction—A systematic literature review
Stance-taking, the public act of positioning oneself toward objects, people or states of affairs, has been studied in many fields of research. Recently, its multimodal realization in interaction has received increasing attention. The current contribution aims to take stock of research on multimodal stance-taking so far, and to present possible avenues for future research. We systematically gathered and appraised 76 articles that investigate the involvement of bodily-visual resources in stance-taking in interaction. The critical appraisal focused on two dimensions of the stance act: form-function relations constituting it, and its dynamic organization in interaction. Regarding form-function relations, we found systematic involvement of specific bodily-visual resources in different stance acts, as well as patterns of multimodal intensification and mitigation of stances. As for its dynamic organization, the review discusses how stance-taking is organized temporally throughout an interaction, with all participants involved carefully negotiating and adapting their stances to one another. Finally, attention is paid to the broader context of stance-taking, including its role in different social and societal contexts. Based on this review, we were able to identify several gaps in the literature, and avenues for future research. We argue that much potential for broadening the scope of research lies in increasing the methodological diversity in approaching multimodal stance-taking, as well as in cross-linguistic studies and varying settings and participant constellations. In conclusion, research into multimodal stance-taking is vibrant, with ample opportunities for future work. This review can be considered as a call to action to move beyond the premise that stance-taking is multimodal, and further investigate this intriguing and fundamental human capacity
A prototype of the data quality pipeline of the Online Observation Quality System of ASTRI-Mini Array telescope system
Gamma-ray astronomy investigates the physics of the universe and the characteristics of celestial objects through gamma rays. Gamma-rays are the most energetic part of the electromagnetic spectrum, emitted in some of the brightest events in the universe, such as pulsars, quasars, and supernova remnants. Gamma rays can be observed with satellites or ground-based telescopes. The latter allow to detect gamma rays in the very high energy range with the indirect Cherenkov technique. When highly energetic photons enter Earth's atmosphere, they generate air showers, cascades of particles whose fast motion produces elusive flashes of blue Cherenkov light in the sky.
This thesis discusses the research conducted at the Astrophysics and Space Science Observatory of Bologna in collaboration with the international project, guided by INAF, for ground-based gamma-ray astrophysics, ASTRI Mini-Array. The focus is on the Online Observation Quality System (OOQS), which conducts a quick look analysis during the telescope observation. The Cherenkov Camera Data Quality Checker is the OOQS component that performs real-time quality checks on the data acquired at high frequency, up to 1000\,Hz, and with a total bandwidth of 148MB/s, from the nine Cherenkov Cameras. The thesis presents the implementation of the OOQS-Pipeline, a software prototype that receives scientific packets from a Cherenkov Camera, performs quality analysis, and stores the results. The pipeline consists of three main applications: Kafka-Consumer, DQ-Analysis, and DQ-Aggregator. The pipeline was tested on a server having similar performance as the ones of the Array Observing Site, and results indicate that it is possible to acquire the maximum data flow produced by the cameras. Overall, the thesis presents an important contribution to the ASTRI Mini-Array project, about the development of the first version of the OOQS-Pipeline, which will maximize observation time with quality data passing the verification thresholds
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