Enabling the Development and Implementation of Digital Twins : Proceedings of the 20th International Conference on Construction Applications of Virtual Reality

Welcome to the 20th International Conference on Construction Applications of Virtual Reality (CONVR 2020). This year we are meeting on-line due to the current Coronavirus pandemic. The overarching theme for CONVR2020 is "Enabling the development and implementation of Digital Twins". CONVR is one of the world-leading conferences in the areas of virtual reality, augmented reality and building information modelling. Each year, more than 100 participants from all around the globe meet to discuss and exchange the latest developments and applications of virtual technologies in the architectural, engineering, construction and operation industry (AECO). The conference is also known for having a unique blend of participants from both academia and industry. This year, with all the difficulties of replicating a real face to face meetings, we are carefully planning the conference to ensure that all participants have a perfect experience. We have a group of leading keynote speakers from industry and academia who are covering up to date hot topics and are enthusiastic and keen to share their knowledge with you. CONVR participants are very loyal to the conference and have attended most of the editions over the last eighteen editions. This year we are welcoming numerous first timers and we aim to help them make the most of the conference by introducing them to other participants

The Inclusion of Cognitive Complexity: A Content Analysis of New Jersey\u27s Current and Past Intended Curriculum

Policy makers and educators have stated that the internationally benchmarked standards will place greater emphasis on 21st century skills including creativity, collaboration, critical thinking, presentation and demonstration, problem solving, research and inquiry, and career readiness. Many educators believe that if schools are “injected” with creativity, students will have a better chance at a prosperous and productive future. Are the current reform movements thwarting the opportunity for students to “find their own niche” and perhaps turning “them into disciples of ‘intellectual clones’ who will do ‘our thing’ rather their own?” (Sternberg, 2003, p. 335). In response to inquiry, this dissertation sought to examine the cognitive complexity of the nationally adopted Common Core State Standards in Grades 9-12 English Language Arts and Math as compared to the cognitive complexity of the New Jersey Core Curriculum Content Standards in Grades 9-12 English Language Arts and Math using Webb’s Depth of Knowledge framework. My study aimed to reveal the extent to which 21st century skills, such as creativity, critical thinking, strategizing, and problem solving are “infused” into the Common Core State Standards as compared to 21st century skills infused into the New Jersey Core Curriculum Content Standards. Webb’s Depth of Knowledge is directly linked to cognitive complexity, a measure of 21st century skills such as creativity and innovation. The present study employed a qualitative content analysis using Webb’s Depth of Knowledge methodology to code the standards. Deductive category application was used to connect Webb’s existing Depth of Knowledge framework to the existing CCSS and NJCCSS (Mayring, 2000). Each Depth of Knowledge level represents a specific level of cognitive complexity. The higher the DOK level of a standard, the more cognitively complex the standard. The higher the cognitive complexity of a standard, the more creativity and innovation embedded into the standard. Each standard was rated on a 1-4 Depth of Knowledge level based on Webb’s Depth of Knowledge methodology. The method used was a “double-rater read behind consensus model,” which proved to be an effective “reliability check” when coding standards (Miles, Huberman, & Saldaña, 2014, p. 84; Sato, Lagunoff, & Worth, 2011, p. 11). The major findings identified as the 9-12 Grade ELA and Math CCSS were compared to the NJCCCS, using the DOK framework, as follows: 1. When using DOK as an analytic framework, the findings indicate that overall both the Grades 9-12 ELA and Math NJCCCS (2008) were rated at a higher level of cognitive complexity as compared to the Grades 9-12 ELA and Math CCSS (2010). 2. The Grades 9-12 ELA NJCCCS were rated at an overall higher percentage of DOK Levels 3 and 4 than were the Grades 9-12 ELA CCSS. 3. The Grades 9-12 Math NJCCCS were rated at an overall higher percentage of DOK Levels 3 and 4 than were the Grades 9-12 Math CCSS. 4. The Grades 9-12 ELA and Math CCSS had a higher percentage of lower rated standards, DOK Levels 1 and 2, as compared to the Grades 9-12 ELA and Math NJCCCS. This study provides an evidence-based evaluation of the decision of adopting the Common Core State Standards and their effectiveness in preparing students with the academically creative skills necessary to compete in our globally complex 21st century work environment. In addition to contributing to the scant research and literature on creativity in education, policy makers and curriculum writers can use my methodology, as shown in this study, to assess future educational standards and assessments

A Policy Advocacy Dissertation to Increase Transparency and Accountability through Social Return on Investment Analysis

The connection between the funding of public schools and student achievement is complex. Facing dwindling revenue streams, schools and the communities they serve must begin to assess how effectively and efficiently school systems are utilizing federal, state, and local taxpayer resources. As seen in the previous program evaluation and change leadership projects, the Social Return On Investment (SROI) methodology provides a framework that yields a statistically reliable vehicle for doing so that garners trust through transparency. Toward this end, this document advocates for school districts and their boards of education to incorporate the SROI analysis as an essential element of their ongoing district-wide evaluation process

Deep Neural Networks and Data for Automated Driving

This open access book brings together the latest developments from industry and research on automated driving and artificial intelligence. Environment perception for highly automated driving heavily employs deep neural networks, facing many challenges. How much data do we need for training and testing? How to use synthetic data to save labeling costs for training? How do we increase robustness and decrease memory usage? For inevitably poor conditions: How do we know that the network is uncertain about its decisions? Can we understand a bit more about what actually happens inside neural networks? This leads to a very practical problem particularly for DNNs employed in automated driving: What are useful validation techniques and how about safety? This book unites the views from both academia and industry, where computer vision and machine learning meet environment perception for highly automated driving. Naturally, aspects of data, robustness, uncertainty quantification, and, last but not least, safety are at the core of it. This book is unique: In its first part, an extended survey of all the relevant aspects is provided. The second part contains the detailed technical elaboration of the various questions mentioned above

Contextual Social Networking

The thesis centers around the multi-faceted research question of how contexts may be detected and derived that can be used for new context aware Social Networking services and for improving the usefulness of existing Social Networking services, giving rise to the notion of Contextual Social Networking. In a first foundational part, we characterize the closely related fields of Contextual-, Mobile-, and Decentralized Social Networking using different methods and focusing on different detailed aspects. A second part focuses on the question of how short-term and long-term social contexts as especially interesting forms of context for Social Networking may be derived. We focus on NLP based methods for the characterization of social relations as a typical form of long-term social contexts and on Mobile Social Signal Processing methods for deriving short-term social contexts on the basis of geometry of interaction and audio. We furthermore investigate, how personal social agents may combine such social context elements on various levels of abstraction. The third part discusses new and improved context aware Social Networking service concepts. We investigate special forms of awareness services, new forms of social information retrieval, social recommender systems, context aware privacy concepts and services and platforms supporting Open Innovation and creative processes. This version of the thesis does not contain the included publications because of copyrights of the journals etc. Contact in terms of the version with all included publications: Georg Groh, [email protected] zentrale Gegenstand der vorliegenden Arbeit ist die vielschichtige Frage, wie Kontexte detektiert und abgeleitet werden können, die dazu dienen können, neuartige kontextbewusste Social Networking Dienste zu schaffen und bestehende Dienste in ihrem Nutzwert zu verbessern. Die (noch nicht abgeschlossene) erfolgreiche Umsetzung dieses Programmes führt auf ein Konzept, das man als Contextual Social Networking bezeichnen kann. In einem grundlegenden ersten Teil werden die eng zusammenhängenden Gebiete Contextual Social Networking, Mobile Social Networking und Decentralized Social Networking mit verschiedenen Methoden und unter Fokussierung auf verschiedene Detail-Aspekte näher beleuchtet und in Zusammenhang gesetzt. Ein zweiter Teil behandelt die Frage, wie soziale Kurzzeit- und Langzeit-Kontexte als für das Social Networking besonders interessante Formen von Kontext gemessen und abgeleitet werden können. Ein Fokus liegt hierbei auf NLP Methoden zur Charakterisierung sozialer Beziehungen als einer typischen Form von sozialem Langzeit-Kontext. Ein weiterer Schwerpunkt liegt auf Methoden aus dem Mobile Social Signal Processing zur Ableitung sinnvoller sozialer Kurzzeit-Kontexte auf der Basis von Interaktionsgeometrien und Audio-Daten. Es wird ferner untersucht, wie persönliche soziale Agenten Kontext-Elemente verschiedener Abstraktionsgrade miteinander kombinieren können. Der dritte Teil behandelt neuartige und verbesserte Konzepte für kontextbewusste Social Networking Dienste. Es werden spezielle Formen von Awareness Diensten, neue Formen von sozialem Information Retrieval, Konzepte für kontextbewusstes Privacy Management und Dienste und Plattformen zur Unterstützung von Open Innovation und Kreativität untersucht und vorgestellt. Diese Version der Habilitationsschrift enthält die inkludierten Publikationen zurVermeidung von Copyright-Verletzungen auf Seiten der Journals u.a. nicht. Kontakt in Bezug auf die Version mit allen inkludierten Publikationen: Georg Groh, [email protected]

Foundations of Human-Aware Planning -- A Tale of Three Models

abstract: A critical challenge in the design of AI systems that operate with humans in the loop is to be able to model the intentions and capabilities of the humans, as well as their beliefs and expectations of the AI system itself. This allows the AI system to be "human- aware" -- i.e. the human task model enables it to envisage desired roles of the human in joint action, while the human mental model allows it to anticipate how its own actions are perceived from the point of view of the human. In my research, I explore how these concepts of human-awareness manifest themselves in the scope of planning or sequential decision making with humans in the loop. To this end, I will show (1) how the AI agent can leverage the human task model to generate symbiotic behavior; and (2) how the introduction of the human mental model in the deliberative process of the AI agent allows it to generate explanations for a plan or resort to explicable plans when explanations are not desired. The latter is in addition to traditional notions of human-aware planning which typically use the human task model alone and thus enables a new suite of capabilities of a human-aware AI agent. Finally, I will explore how the AI agent can leverage emerging mixed-reality interfaces to realize effective channels of communication with the human in the loop.Dissertation/ThesisDoctoral Dissertation Computer Science 201