Relevant bibliographies by topics / Building design AI use

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Building design AI use'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Building design AI use"

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Krausková, Veronika, and Henrich Pifko. "Use of Artificial Intelligence in the Field of Sustainable Architecture: Current Knowledge." Architecture Papers of the Faculty of Architecture and Design STU 26, no. 1 (March 1, 2021): 20–29. http://dx.doi.org/10.2478/alfa-2021-0004.

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Abstract Innovative technologies help automate the work of the designer. A 3D model of the building can be used to calculate the required values. This will also allow you to create associative sections that, when changing the geometry of the 3D model, automatically adjust the drawn elements on the resulting 2D drawing. Information technologies enable participants from all over the world to work on one project and, thanks to the BIM (building information modelling) method, to design buildings during their life cycle more efficiently. At present, critical studies are published on interoper-ability in BIM and its lack of coordination or amount of information that is misinterpreted, etc. However, working in BIM is the most effective way to use computer technology to design buildings. There is a lot of information about the building in the 3D model itself, which can also be used for purposes other than construction (building management, reconstruction). But how to process a large amount of information in a 3D model? Many buildings already have their 3D models shared on cloud platforms, these contain information that could help, for example, find solutions for green construction using artificial intelligence (AI). We meet with AI every day. It supports internet search engines, predicts auto-completion words as you type. AI can also be found in architecture – not only as visions at exhibitions, but also in research on process optimization in BIM.
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Farzaneh, Hooman, Ladan Malehmirchegini, Adrian Bejan, Taofeek Afolabi, Alphonce Mulumba, and Precious P. Daka. "Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency." Applied Sciences 11, no. 2 (January 14, 2021): 763. http://dx.doi.org/10.3390/app11020763.

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The emerging concept of smart buildings, which requires the incorporation of sensors and big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban energy efficiency. By using AI technologies in smart buildings, energy consumption can be reduced through better control, improved reliability, and automation. This paper is an in-depth review of recent studies on the application of artificial intelligence (AI) technologies in smart buildings through the concept of a building management system (BMS) and demand response programs (DRPs). In addition to elaborating on the principles and applications of the AI-based modeling approaches widely used in building energy use prediction, an evaluation framework is introduced and used for assessing the recent research conducted in this field and across the major AI domains, including energy, comfort, design, and maintenance. Finally, the paper includes a discussion on the open challenges and future directions of research on the application of AI in smart buildings.
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Matin, Sahar S., and Biswajeet Pradhan. "Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)." Sensors 21, no. 13 (June 30, 2021): 4489. http://dx.doi.org/10.3390/s21134489.

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Building-damage mapping using remote sensing images plays a critical role in providing quick and accurate information for the first responders after major earthquakes. In recent years, there has been an increasing interest in generating post-earthquake building-damage maps automatically using different artificial intelligence (AI)-based frameworks. These frameworks in this domain are promising, yet not reliable for several reasons, including but not limited to the site-specific design of the methods, the lack of transparency in the AI-model, the lack of quality in the labelled image, and the use of irrelevant descriptor features in building the AI-model. Using explainable AI (XAI) can lead us to gain insight into identifying these limitations and therefore, to modify the training dataset and the model accordingly. This paper proposes the use of SHAP (Shapley additive explanation) to interpret the outputs of a multilayer perceptron (MLP)—a machine learning model—and analyse the impact of each feature descriptor included in the model for building-damage assessment to examine the reliability of the model. In this study, a post-event satellite image from the 2018 Palu earthquake was used. The results show that MLP can classify the collapsed and non-collapsed buildings with an overall accuracy of 84% after removing the redundant features. Further, spectral features are found to be more important than texture features in distinguishing the collapsed and non-collapsed buildings. Finally, we argue that constructing an explainable model would help to understand the model’s decision to classify the buildings as collapsed and non-collapsed and open avenues to build a transferable AI model.
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Das, Sushmita, Aleena Swetapadma, and Chinmoy Panigrahi. "A STUDY ON THE APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES FOR PREDICTING THE HEATING AND COOLING LOADS OF BUILDINGS." Journal of Green Building 14, no. 3 (June 2019): 115–28. http://dx.doi.org/10.3992/1943-4618.14.3.115.

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The prediction of the heating and cooling loads of a building is an essential aspect in studies involving the analysis of energy consumption in buildings. An accurate estimation of heating and cooling load leads to better management of energy related tasks and progressing towards an energy efficient building. With increasing global energy demands and buildings being major energy consuming entities, there is renewed interest in studying the energy performance of buildings. Alternative technologies like Artificial Intelligence (AI) techniques are being widely used in energy studies involving buildings. This paper presents a review of research in the area of forecasting the heating and cooling load of buildings using AI techniques. The results discussed in this paper demonstrate the use of AI techniques in the estimation of the thermal loads of buildings. An accurate prediction of the heating and cooling loads of buildings is necessary for forecasting the energy expenditure in buildings. It can also help in the design and construction of energy efficient buildings.
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Z. Allam, Sammar. "ARTIFICIAL INTELLIGENCEINTERVENTION TO URBAN BUILDING RENEWABLE ENERGY MODELING INTERVENTION FOR ROBUST FLEXIBLE COMMUNITIES." International Journal of Advanced Research 9, no. 03 (March 31, 2021): 314–21. http://dx.doi.org/10.21474/ijar01/12586.

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This research coveys a comparative analysis between Urban Building energy model (UBEM) generated by scholar, researchers, and professional in academia and industry while highlighting the reliable main components to manifest a successful and reliable UBEM technologies. Nevertheless, it consolidates distributed generation on building blocks rather than a whole district relying on renewable energy sources. It guides engineers through energy system model simulation on Openmodelica platform to feed green sustained communities. Moreover, energy use-pattern is mapped and analyzed by internet of things (IOT) technologies to fine-tune energy uses and refine use-pattern. Demonstrating artificial Intelligence (AI) algorithmto predict energy consumption can reflect on the amount of energy required for storage to cover energy needs. AI shapes a robust positive energy district (PED) through storinggenerated renewable solar or bio-energy to cover predicted energy use-pattern.Distributed -power-plant stations capacity to cover clusters using AI in predicting energy consumption consolidates on-site energy generation recommended by multiple International rating systems. AI-based Energy management plan guide engineers and planners to design distributed-power-plants of energy generation capacity lies between the actual energy need and a predicted scenario.
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Paschen, Jeannette, Jan Kietzmann, and Tim Christian Kietzmann. "Artificial intelligence (AI) and its implications for market knowledge in B2B marketing." Journal of Business & Industrial Marketing 34, no. 7 (August 5, 2019): 1410–19. http://dx.doi.org/10.1108/jbim-10-2018-0295.

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Purpose The purpose of this paper is to explain the technological phenomenon artificial intelligence (AI) and how it can contribute to knowledge-based marketing in B2B. Specifically, this paper describes the foundational building blocks of any artificial intelligence system and their interrelationships. This paper also discusses the implications of the different building blocks with respect to market knowledge in B2B marketing and outlines avenues for future research. Design/methodology/approach The paper is conceptual and proposes a framework to explicate the phenomenon AI and its building blocks. It further provides a structured discussion of how AI can contribute to different types of market knowledge critical for B2B marketing: customer knowledge, user knowledge and external market knowledge. Findings The paper explains AI from an input–processes–output lens and explicates the six foundational building blocks of any AI system. It also discussed how the combination of the building blocks transforms data into information and knowledge. Practical implications Aimed at general marketing executives, rather than AI specialists, this paper explains the phenomenon artificial intelligence, how it works and its relevance for the knowledge-based marketing in B2B firms. The paper highlights illustrative use cases to show how AI can impact B2B marketing functions. Originality/value The study conceptualizes the technological phenomenon artificial intelligence from a knowledge management perspective and contributes to the literature on knowledge management in the era of big data. It addresses calls for more scholarly research on AI and B2B marketing.
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van Bekkum, Michael, Maaike de Boer, Frank van Harmelen, André Meyer-Vitali, and Annette ten Teije. "Modular design patterns for hybrid learning and reasoning systems." Applied Intelligence 51, no. 9 (June 18, 2021): 6528–46. http://dx.doi.org/10.1007/s10489-021-02394-3.

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AbstractThe unification of statistical (data-driven) and symbolic (knowledge-driven) methods is widely recognized as one of the key challenges of modern AI. Recent years have seen a large number of publications on such hybrid neuro-symbolic AI systems. That rapidly growing literature is highly diverse, mostly empirical, and is lacking a unifying view of the large variety of these hybrid systems. In this paper, we analyze a large body of recent literature and we propose a set of modular design patterns for such hybrid, neuro-symbolic systems. We are able to describe the architecture of a very large number of hybrid systems by composing only a small set of elementary patterns as building blocks. The main contributions of this paper are: 1) a taxonomically organised vocabulary to describe both processes and data structures used in hybrid systems; 2) a set of 15+ design patterns for hybrid AI systems organized in a set of elementary patterns and a set of compositional patterns; 3) an application of these design patterns in two realistic use-cases for hybrid AI systems. Our patterns reveal similarities between systems that were not recognized until now. Finally, our design patterns extend and refine Kautz’s earlier attempt at categorizing neuro-symbolic architectures.
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Cherkina, Vera, Elena Petrenko, Maxim Kirichenko, and Pavel Samarin. "The role of information modeling and automated technologies in the design and construction of high-rise buildings." E3S Web of Conferences 215 (2020): 03007. http://dx.doi.org/10.1051/e3sconf/202021503007.

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The purpose of the work is to consider the role of information modeling and automated technologies in the design and construction of high - rise buildings. The introduction of digital information tools in the construction sector provides rich ground for the birth and growth of companies specializing in the application of technology in design and construction. While some of the technologies are new, many companies implement ideas proposed in building research several decades ago that were impractical without a reliable digital database of building information. High-rise building information modeling (BIM) itself dates back to a landmark 1975 paper; ideas for artificial intelligence and code-checking tools emerged in the mid-1980s; and construction robots have been working in research labs for decades. However, only during the last five years, venture capital began to actively look for a new company in the sector of construction technologies. After analyzing a number of innovations in the field of digital construction through their known past and their uncertain present, it was concluded that the prospects for the development of these innovations in the construction industry, especially in the construction of high-rise buildings, are quite high. The author came to the following conclusion: a review of three specific areas of construction technologies, representing design and planning, BIM-to-field and field-to-BIM applications, shows that the widespread adoption of BIM environments in the construction industry is not sufficient to ensure the effective use of the information they contain, or to use the potential of AI in this context.
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Zhang, Jingwen, Yoo Jung Oh, Patrick Lange, Zhou Yu, and Yoshimi Fukuoka. "Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint." Journal of Medical Internet Research 22, no. 9 (September 30, 2020): e22845. http://dx.doi.org/10.2196/22845.

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Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in natural conversations and build relationships with users. Applying AI chatbots to lifestyle modification programs is one of the promising areas to develop cost-effective and feasible behavior interventions to promote physical activity and a healthy diet. Objective The purposes of this perspective paper are to present a brief literature review of chatbot use in promoting physical activity and a healthy diet, describe the AI chatbot behavior change model our research team developed based on extensive interdisciplinary research, and discuss ethical principles and considerations. Methods We conducted a preliminary search of studies reporting chatbots for improving physical activity and/or diet in four databases in July 2020. We summarized the characteristics of the chatbot studies and reviewed recent developments in human-AI communication research and innovations in natural language processing. Based on the identified gaps and opportunities, as well as our own clinical and research experience and findings, we propose an AI chatbot behavior change model. Results Our review found a lack of understanding around theoretical guidance and practical recommendations on designing AI chatbots for lifestyle modification programs. The proposed AI chatbot behavior change model consists of the following four components to provide such guidance: (1) designing chatbot characteristics and understanding user background; (2) building relational capacity; (3) building persuasive conversational capacity; and (4) evaluating mechanisms and outcomes. The rationale and evidence supporting the design and evaluation choices for this model are presented in this paper. Conclusions As AI chatbots become increasingly integrated into various digital communications, our proposed theoretical framework is the first step to conceptualize the scope of utilization in health behavior change domains and to synthesize all possible dimensions of chatbot features to inform intervention design and evaluation. There is a need for more interdisciplinary work to continue developing AI techniques to improve a chatbot’s relational and persuasive capacities to change physical activity and diet behaviors with strong ethical principles.
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Yi, Hwang. "Visualized Co-Simulation of Adaptive Human Behavior and Dynamic Building Performance: An Agent-Based Model (ABM) and Artificial Intelligence (AI) Approach for Smart Architectural Design." Sustainability 12, no. 16 (August 18, 2020): 6672. http://dx.doi.org/10.3390/su12166672.

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Human (occupant) behavior has been a topic of active research in the study of architecture and energy. To integrate the work of architectural design with techniques of building performance simulation in the presence of responsive human behavior, this study proposes a computational framework that can visualize and evaluate space occupancy, energy use, and generative envelope design given a space outline. A design simulation platform based on the visual programming language (VPL) of Rhino Grasshopper (GH) and Python is presented so that users (architects) can monitor real-time occupant response to space morphology, environmental building operation, and the formal optimization of three-dimensional (3D) building space. For dynamic co-simulation, the Building Controls Virtual Test Bed, Energy Plus, and Radiance were interfaced, and the agent-based model (ABM) approach and Gaussian process (GP) were applied to represent agents’ self-learning adaptation, feedback, and impact on room temperature and illuminance. Hypothetical behavior scenarios of virtual agents with experimental building geometry were produced to validate the framework and its effectiveness in supporting dynamic simulation. The study’s findings show that building energy and temperature largely depend on ABMs and geometry configuration, which demonstrates the importance of coupled simulation in design decision-making.
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Dissertations / Theses on the topic "Building design AI use"

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Kumar, Bimal. "Knowledge processing for structural design." Thesis, University of Edinburgh, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329496.

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Rafiq, M. Y. "Artificial intelligence techniques for the structural design of buildings." Thesis, University of Strathclyde, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382446.

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Logan, Brian S. "The structure of design problems." Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238428.

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Blandford, Ann. "Design, decisions and dialogue." Thesis, Open University, 1991. http://oro.open.ac.uk/57316/.

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This thesis presents a design for an Intelligent Educational System to support the teaching of design evaluation in engineering. The design consists of a simple computerbased tool (or 'learning environment') for displaying and manipulating infonnation used in the course of problem solving, with a separate dialogue component capable of discussing aspects of the problem and of the problem solving strategy with the user. Many of the novel features of the design have been incorporated in a prototype system called WOMBAT. The main focus of this research has been on the design of the dialogue component. The design of the dialogue component is based on ideas taken from recent work on rational agency. The dialogue component has expertise in engaging in dialogues which support collaborative problem solving (involving system and user) in domains characterised as justified beliefs. It is capable of negotiating about what to do next and about what beliefs to take into account in problem solving. The system acquires problem-related beliefs by applying a simple plausible reasoning mechanism to a database of possible beliefs. The dialogue proceeds by turn-taking in which the current speaker constructs their chosen utterance (which may consist of several propositions and questions) and explicitly indicates when they have finished. When it is the system's turn to make an utterance, it decides what to say based on its beliefs about the current situation and on the likely utility of the various possible responses which it considers appropriate in the circumstances. Two aspects of the problem solving have been fully implemented. These are the discussion about what criteria a decision should be based on and the discussion about what decision step should be taken next. The system's contributions to the interaction are opportunistic, in the sense that at a dialogue level the system does not try to plan beyond the current utterance, and at a problem solving level it does not plan beyond the next action. The results of a formative evaluation of WOMBAT, in which it was exposed to a number of engineering educators, indicate that it is capable of engaging in a coherent dialogue, and that the dialogue is seen to have a pedagogical purpose. Although the approach of reasoning about the next action opportunistically has not proved adequate at a problem solving level, at a dialogue level it yields good results.
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Tan, Sun Teck. "A framework for conditional and iterative planning, team design and execution monitoring." Thesis, University of Essex, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.328468.

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Gaudl, Swen. "Building robust real-time game AI : simplifying & automating integral process steps in multi-platform design." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698997.

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Digital games are part of our culture and have gained significant attention over the last decade. The growing capabilities of home computers, gaming consoles and mobile phones allow current games to visualise 3D virtual worlds, photo-realistic characters and the inclusion of complex physical simulations. The growing computational power of those devices enables the usage of complex algorithms while visualising data. Therefore, opportunities arise for developers of interactive products such as digital games which introduce new, challenging and exciting elements to the next generation of highly interactive software systems. Two of those challenges, which current systems do not address adequately, are design support for creating Intelligent Virtual Agents and more believable non-player characters for immersive game-play. We start in this thesis by addressing the agent design support first and then extend the research, addressing the second challenge. The main contributions of this thesis are: - The POSH-SHARP system is a framework for the development of game agents. The platform is modular, extendable, offers multi-platform support and advanced software development features such as behaviour inspection and behaviour versioning. The framework additionally integrates an advanced information exchange mechanism supporting loose behaviour coupling. - The Agile behaviour design methodology integrates agile software development and agent design. To guide users, the approach presents a work-flow for agent design and guiding heuristics for their development. - The action selection augmentation ERGo introduces a "white-box" solution to altering existing agent frameworks, making their agents less deterministic. It augments selected behaviours with a bio-mimetic memory to track and adjust their activation over time. With the new approach to agent design, the development of "deepagent" behaviour for digital adversaries and advanced tools supporting their design is given. Such mechanisms should enable developers to build robust non-player characters that act more human-like in an efficient and robust manner. Within this thesis, different strategies are identified to support the design of agents in a more robust manner and to guide developers. These discussed mechanisms are then evolved to develop and design Intelligent Virtual Agents. Because humans are still the best measurement for human-likeness, the evolutionary cycle involves feedback given by human players.
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Lau, Tak-bun Denvid. "Use of advanced composite materials for innovative building design solutions/." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53110.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2009.
Includes bibliographical references (leaves 90-98).
Advanced composite materials become popular in construction industry for the innovative building design solutions including strengthening and retrofitting of existing structures. The interface between different materials is a key issue of such design solutions as the structural integrity relies much on the bond. Knowledge on durability of concrete/epoxy interface is becoming essential as the use of these systems in applications such as FRP strengthening and retrofitting of concrete structures is becoming increasingly popular. Prior research studies in this area have indicated that moisture affected debonding in a FRP-bonded concrete system is a complex phenomenon that may often involve a distinctive dry-to-wet debonding mode shift from material decohesion (concrete delamination) to interface separation (concrete/epoxy interface) in which concrete/epoxy interface becomes the critical region of failure. Such premature failures may occur regardless of the durability of the individual constituent materials forming the material systems. Thus, the durability of FRP-bonded concrete is governed by the microstructure of the concrete/epoxy interface as affected by moisture ingress. In this work, fracture toughness of concrete/epoxy interfaces as affected by combinations of various degrees of moisture ingress and temperature levels is quantified. For this purpose, sandwich beam specimens containing concrete/epoxy interfaces are tested and analyzed using the concepts of fracture mechanics.
(cont.) Experimental results have shown a significant decrease in the interfacial fracture toughness of concrete/epoxy bond with selected levels of moisture and temperature conditioning of the specimens. The strength of adhesive joint degrades as implied by the failure mode shift from concrete decohesion in controlled specimens to interface separation in conditioned specimens. In this thesis, primary data on the mixed mode fracture toughness of concrete/epoxy interfaces are presented as a basis for use in the design improvement of material systems containing such interfaces for better system durability, and issues related to the structural implications are also discussed.
by Tak Bun Denvid Lau.
S.M.
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Hand, Jon William. "Removing barriers to the use of simulation in the building design professions." Thesis, University of Strathclyde, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366771.

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Li, Beidi. "Use of Building Energy Simulation Software in Early-Stage of Design Process." Thesis, KTH, Byggvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217902.

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In traditional planning process, energy analysts work on finalized architectural designs and have limited capability to amend inefficient energy features such as high aspect ratio. Energy efficiency being a major part of sustainable design, the need for performance-oriented design tools has become imminent. There is a wide range of energy simulation tools across the world. Crawley et al. (2005) proposes a plain comparison of the most common ones based on vendor-supplied information. The present report aims to identify simulation tools that can help architects making energy-efficient design decisions in early stage of building process and the most suitable programs will be tested on a standard case in Stockholm area with respect to their architecture, functionalities, usability and limitations.
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Santana, Maria Elena, and n/a. "Eco-efficient timber use through bio-sensitive design." University of Canberra. Architecture and Building, 1998. http://erl.canberra.edu.au./public/adt-AUC20061107.164347.

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A significant number of building materials are based on wood. Wood competes with other materials and products for many building applications from structural framing to cladding. Wood appears to be preferable because of its aesthetic and structural properties, its versatility, economic cost and environmental benefits. However, timber wastage within the construction industry is incalculable. Waste occurs at all stages of the timber resource stream: procurement, conversion, installation, use, maintenance, dismantling and eventual disposal. Much of this loss can be avoided through eco-design strategies based on a better understanding of the total resource flows. This thesis addresses the ecological implications associated with the use and over-exploitation of timber in building construction. Applying bio-sensitive design principles and using a life cycle approach, the thesis examines ways of maximising timber resource yield through appropriate materials selection, design strategies and construction techniques to reduce their ecological footprint. Finally, an easy-to-use guide that incorporates economic and aesthetic-value criteria to the analysis is developed. The guide is aimed to offer a flexible decision-support tool that enables designers and other people involved in the construction industry to comprehend in a systematic way, the multiple dimensions interacting when selecting timber-building products. It is thus, intended to explore in practice the implications and trade-offs of state of the art timber products with the ultimate aim of integrating the ecological dimension to the decision-making process.
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Books on the topic "Building design AI use"

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Zacker, Craig. Building Windows 98 networks: Design, implementation, and use. Cambridge, Mass: O'Reilly, 1999.

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Umlauf, Elyse. Building design: Improving commercial spaces. Glen Cove, N.Y: Library of Applied Design, 1990.

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Haverstock, Henry. The building design easibrief: An easy to use reference book for building designers. London: Morgan-Grampian, 1993.

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Grassi, Ennio. Stone materials in curtain walls: Design criteria, technical performance, use of stone in prefabricated systems. [Genoa]: Internazionale Marmi e Macchine Carrara S.P.A, 1992.

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Bainbridge, Kathy. Building web sites constituents will use: Innovations, links, design, content, audience. Washington, D.C: Congressional Management Foundation, 1999.

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Nash, John C. Building a database of secular and religious holidays for world-wide use. [Ottawa]: Administration, University of Ottawa = Administration, Université d'Ottawa, 1987.

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Building a multi-use barn for garage, animals, workshop, studio. Charlotte, Vt: Williamson Pub., 1994.

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Catanzaro, Thomas E. Veterinary practice building: Design starter kit to use in renovating, expanding or building a new facility : complete with cut-out functional areas for desk top use. 2nd ed. Denver, Colo: American Animal Hospital Association, 1989.

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Site analysis: Informing context-sensitive and sustainable site planning and design. Hoboken: Wiley, 2013.

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Haverstock, Henry. The building design Easibrief: An easy to use reference book for designers. London: Morgan Grampian, 1987.

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Book chapters on the topic "Building design AI use"

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Lee, Kai-Fu. "A Human Blueprint for AI Coexistence." In Robotics, AI, and Humanity, 261–69. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_22.

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AbstractThe positive coexistence of humans and AI is possible and needs to be designed as a system that provides for all members of society, but one that also uses the wealth generated by AI to build a society that is more compassionate, loving, and ultimately human. It is incumbent on us to use the economic abundance of the AI age to foster the values of volunteers who devote their time and energy toward making their communities more caring. As a practical measure, to protect against AI/robotics’ labor saving and job displacement effects, a “social investment stipend” should be explored. The stipend would be given to those who invest their time and energy in those activities that promote a kind, compassionate, and creative society, i.e., care work, community service, and education. It would put the economic bounty generated by AI to work in building a better society, rather than just numbing the pain of AI-induced job losses.
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Langston, Craig. "Sustainable Design and Building Conversion." In Building Urban Resilience through Change of Use, 83–104. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119231455.ch5.

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Khlifi, Hechmi, Jocelyn Desbiens, and Mohamed Cheriet. "Building Groupwares over Duplicated Object Systems." In Groupware: Design, Implementation, and Use, 245–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46124-8_17.

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Memmi, Daniel, and Olivier Nérot. "Building Virtual Communities for Information Retrieval." In Groupware: Design, Implementation, and Use, 371–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39850-9_31.

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Zhong, G., and M. Dooner. "Use of Visualisation and Qualitative Reasoning in Configuring Mechanical Fasteners." In AI System Support for Conceptual Design, 362–76. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1475-8_22.

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Bartsch-Spörl, B., and S. Bakhtari. "A Support System for Building Design - Experiences and Convictions from the Fabel Project." In AI System Support for Conceptual Design, 279–97. London: Springer London, 1996. http://dx.doi.org/10.1007/978-1-4471-1475-8_17.

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Kolfschoten, Gwendolyn L., Robert O. Briggs, Jaco H. Appelman, and Gert-Jan de Vreede. "ThinkLets as Building Blocks for Collaboration Processes: A Further Conceptualization." In Groupware: Design, Implementation, and Use, 137–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30112-7_12.

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Summerfield, Alex, Tadj Oreszczyn, Ayub Pathan, and Sung-Min Hong. "Occupant Behaviour and Energy Use." In A Handbook of Sustainable Building Design and Engineering, 481–91. Second edition. | Abingdon, Oxon ; New York, NY : Routledge, [2018]: Routledge, 2018. http://dx.doi.org/10.1201/9781315172026-35.

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Messeguer, Roc, Sergio F. Ochoa, José A. Pino, Esunly Medina, Leandro Navarro, Dolors Royo, and Andrés Neyem. "Building Real-World Ad-Hoc Networks to Support Mobile Collaborative Applications: Lessons Learned." In Groupware: Design, Implementation, and Use, 1–16. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04216-4_1.

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Lacasa, Pilar, Laura Méndez, and Rut Martínez. "Using Videogames as Educational Tools: Building Bridges Between Commercial and Serious Games." In Design and Use of Serious Games, 107–23. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9496-5_8.

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Conference papers on the topic "Building design AI use"

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Akagi, S., L. Fujita, and H. Kubonishi. "Building an Expert System for Power Plant Design." In ASME 1988 Design Technology Conferences. American Society of Mechanical Engineers, 1988. http://dx.doi.org/10.1115/detc1988-0038.

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Abstract An expert CAD system for power plant design is developed with expert system for design built by the authors. The design of power plants is characterized by selecting the candidates for the various machineries and equipments which compose the plants based on the expertise. In the system, design knowledge is described in the form of an object-oriented knowledge representation which can support design process flexibly, and in a user-friendly way. The system also provides the hybrid functions with numerical computations and graphics, as well as AI techniques. Its effectiveness as a design tool is ascertained through the applications to a marine power plant.
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Ardón, Paola, Èric Pairet, Katrin S. Lohan, Subramanian Ramamoorthy, and Ron P. A. Petrick. "Building Affordance Relations for Robotic Agents - A Review." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/590.

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Affordances describe the possibilities for an agent to perform actions with an object. While the significance of the affordance concept has been previously studied from varied perspectives, such as psychology and cognitive science, these approaches are not always sufficient to enable direct transfer, in the sense of implementations, to artificial intelligence (AI)-based systems and robotics. However, many efforts have been made to pragmatically employ the concept of affordances, as it represents great potential for AI agents to effectively bridge perception to action. In this survey, we review and find common ground amongst different strategies that use the concept of affordances within robotic tasks, and build on these methods to provide guidance for including affordances as a mechanism to improve autonomy. To this end, we outline common design choices for building representations of affordance relations, and their implications on the generalisation capabilities of an agent when facing previously unseen scenarios. Finally, we identify and discuss a range of interesting research directions involving affordances that have the potential to improve the capabilities of an AI agent.
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Al Saeed, Mahmoud, and Fodil Fadli. "Smart Interactive Buildings [SIBs]: The use of Ambient Intelligent Systems [AMIS] to enable Smart Interactive Settlements [SISs]." In International Conference on the 4th Game Set and Match (GSM4Q-2019). Qatar University Press, 2019. http://dx.doi.org/10.29117/gsm4q.2019.0019.

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The 21st Century is witnessing the dawn of Industry [I4.0], or the fourth Industrial Revolution. With burgeoning technological inventions linked to smart interactive cities and intelligent buildings, where humans-machines-spaces interact continuously. Our ambition in this explorative study is to design and develop a sophisticated interactive computational platform that interacts and responds to humans' [users] needs and aspirations, which are increasing exponentially, in complete synchronization with machines, spaces and buildings' capacities. Consequently, there is a demand and necessity to develop Ambient Intelligent Systems (AMIS) which enable the creation of intelligent settlements that efficiently ease the communication between users/ users, users/machines and users/buildings. This is importantly needed in order to reduce the ascending consumption rate of energy in an integrative design manner. The aim of this study is to investigate the current technological solutions that address the subject of human/buildings [includes machines and spaces] interaction through sensory devices and computational systems. This can be achieved through the design and development of a comprehensive understanding of the human/buildings interactions, in the form of Ambient Intelligent Systems that enable the interaction of different stakeholders and users with the building they live/work in, at realtime. This will solve any problem related to energy usage and hence environmental quality control indoor-outdoor of the building. The findings of this study demonstrate the necessity of integrating AMIS solutions into the early stages of buildings design as a primary method of Design, Build and Operation (DBO). Earlier computational design technologies would help develop an Advanced Design, Analysis and Management System (ADAMS). This system has been simulated and validated effectively to enable human-buildings constant interactivity at all time in real-time reaction. AMIS solutions through ADAMS model lead us as designers, architects, planners and users to consider our buildings as an interactive living entity rather than a static conventional mass. Humans-Buildings-Spaces interaction through AMIS platforms will be capable of collecting, analyzing, synthesizing and developing adequate customized decisions at their own, as Artificially Intelligent [AI] constituents of the Smart Interactive Buildings [SIBs] network, which would undoubtedly lead to reduced energy consumption and healthier livable Smart Interactive Settlements [SISs].
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Shahpar, Shahrokh. "Building Digital Twins to Simulate Manufacturing Variation." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15263.

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Abstract To improve the quality of a manufactured part in industry, a variety of techniques are used to scan a built geometry to bring it back to the physics based simulation world to assess its true performance. There are various laser and structured light measurement techniques (GOM), Computed Tomography (CT) scan as well as touch-point probes in the form of CMM cloud of data that can provide an estimate for the shape of an object. However, there are many challenges on how to construct the digital geometry from the scan in order not to lose any deviations and defects and yet being able to mesh a solid manifold for simulation purposes. In this paper, a novel method based on multi-layered Artificial Intelligence (AI) is presented to produce a meaningful engineering design space to perturb the design-intent geometry to match the manufactured data cloud. The inverse mapping techniques has been applied to a range of real turbomachinery components to demonstrate its flexibility and robustness, even when the original GOM is not perfect. A case study is presented based on a real modern jet engine bypass outlet guide vane (BOGV) to show how constructing and using its digital twin and high-fidelity simulation can save a significant cost for a fleet of engines/aircraft.
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Picault, Sébastien, Yu-Lin Huang, Vianney Sicard, and Pauline Ezanno. "Enhancing Sustainability of Complex Epidemiological Models through a Generic Multilevel Agent-based Approach." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/53.

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The development of computational sciences has fostered major advances in life sciences, but also led to reproducibility and reliability issues, which become a crucial stake when simulations are aimed at assessing control measures, as in epidemiology. A broad use of software development methods is a useful remediation to reduce those problems, but preventive approaches, targeting not only implementation but also model design, are essential to sustainable enhancements. Among them, AI techniques, based on the separation between declarative and procedural concerns, and on knowledge engineering, offer promising solutions. Especially, multilevel multi-agent systems, deeply rooted in that culture, provide a generic way to integrate several epidemiological modeling paradigms within a homogeneous interface. We explain in this paper how this approach is used for building more generic, reliable and sustainable simulations, illustrated by real-case applications in cattle epidemiology.
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ARORA, J., and G. BAENZIGER. "Use of AI in design optimization." In 26th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1985. http://dx.doi.org/10.2514/6.1985-801.

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Bondi, Elizabeth, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, and Milind Tambe. "Near Real-Time Detection of Poachers from Drones in AirSim." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/847.

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The unrelenting threat of poaching has led to increased development of new technologies to combat it. One such example is the use of thermal infrared cameras mounted on unmanned aerial vehicles (UAVs or drones) to spot poachers at night and report them to park rangers before they are able to harm any animals. However, monitoring the live video stream from these conservation UAVs all night is an arduous task. Therefore, we discuss SPOT (Systematic Poacher deTector), a novel application that augments conservation drones with the ability to automatically detect poachers and animals in near real time. SPOT illustrates the feasibility of building upon state-of-the-art AI techniques, such as Faster RCNN, to address the challenges of automatically detecting animals and poachers in infrared images. This paper reports (i) the design of SPOT, (ii) efficient processing techniques to ensure usability in the field, (iii) evaluation of SPOT based on historical videos and a real-world test run by the end-users, Air Shepherd, in the field, and (iv) the use of AirSim for live demonstration of SPOT. The promising results from a field test have led to a plan for larger-scale deployment in a national park in southern Africa. While SPOT is developed for conservation drones, its design and novel techniques have wider application for automated detection from UAV videos.
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Chen, Yuxuan, and Patrick Phelan. "Predicting Peak Energy Demand for an Office Building Using Artificial Intelligence (AI) Approaches." In ASME 2021 Power Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/power2021-64492.

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Abstract Due to the technological advancement in smart buildings and the smart grid, there is increasing desire of managing energy demand in buildings to achieve energy efficiency. In this context, building energy prediction has become an essential approach for measuring building energy performance, assessing energy system efficiency, and developing energy management strategies. In this study, two artificial intelligence techniques (i.e., ANN = artificial neural networks and SVR = support vector regression) are examined and used to predict the peak energy demand to estimate the energy usage for an office building on a university campus based on meteorological and historical energy data. Two-year energy and meteorological data are used, with one year for training and the following year for testing. To investigate the seasonal load trend and the prediction capabilities of the two approaches, two experiments are conducted relying on different scales of training data. In total, 10 prediction models are built, with 8 models implemented on seasonal training datasets and 2 models employed using year-round training data. It is observed that a backpropagation neural network (BPNN) performs better than SVR when dealing with more data, leading to stable generalization and low prediction error. When dealing with less data, it is found that there is no dominance of one approach over another.
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Jianfeng, Zhang, Jiang Yechao, and Liu Fang. "Construction of Intelligent Building Design System Based on BIM and AI." In 2020 5th International Conference on Smart Grid and Electrical Automation (ICSGEA). IEEE, 2020. http://dx.doi.org/10.1109/icsgea51094.2020.00066.

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Shah, Ayush, Tamer Abuelsaad, Jae-Wook Ahn, Prasenjit Dey, Ravi Kokku, Ruhi Sharma Mittal, Aditya Vempaty, and Mourvi Sharma. "Content Customization for Micro Learning using Human Augmented AI Techniques." In Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/w19-4434.

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Reports on the topic "Building design AI use"

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Alexander, Francis, Tammie Borders, Angie Sheffield, and Marc Wonders. Workshop Report for Next-Gen AI for Proliferation Detection: Accelerating the Development and Use of Explainability Methods to Design AI Systems Suitable for Nonproliferation Mission Applications. Office of Scientific and Technical Information (OSTI), September 2020. http://dx.doi.org/10.2172/1768761.

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Deola, Regina A. Estimates of SNL/NM maximum winds and recurrence intervals for use in non-nuclear building design loads. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1599976.

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Zhou, Nan, Chris Marnay, Ryan Firestone, Weijun Gao, and Masaru Nishida. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (Japanese translation). Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/836809.

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Zhou, Nan, Chris Marnay, Ryan Firestone, Weijun Gao, and Masaru Nishida. The potential for distributed generation in Japanese prototype buildings: A DER-CAM analysis of policy, tariff design, building energy use, and technology development (English Version). Office of Scientific and Technical Information (OSTI), October 2004. http://dx.doi.org/10.2172/837812.

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Coulson, Saskia, Melanie Woods, Drew Hemment, and Michelle Scott. Report and Assessment of Impact and Policy Outcomes Using Community Level Indicators: H2020 Making Sense Report. University of Dundee, 2017. http://dx.doi.org/10.20933/100001192.

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Making Sense is a European Commission H2020 funded project which aims at supporting participatory sensing initiatives that address environmental challenges in areas such as noise and air pollution. The development of Making Sense was informed by previous research on a crowdfunded open source platform for environmental sensing, SmartCitizen.me, developed at the Fab Lab Barcelona. Insights from this research identified several deterrents for a wider uptake of participatory sensing initiatives due to social and technical matters. For example, the participants struggled with the lack of social interactions, a lack of consensus and shared purpose amongst the group, and a limited understanding of the relevance the data had in their daily lives (Balestrini et al., 2014; Balestrini et al., 2015). As such, Making Sense seeks to explore if open source hardware, open source software and and open design can be used to enhance data literacy and maker practices in participatory sensing. Further to this, Making Sense tests methodologies aimed at empowering individuals and communities through developing a greater understanding of their environments and by supporting a culture of grassroot initiatives for action and change. To do this, Making Sense identified a need to underpin sensing with community building activities and develop strategies to inform and enable those participating in data collection with appropriate tools and skills. As Fetterman, Kaftarian and Wanderman (1996) state, citizens are empowered when they understand evaluation and connect it in a way that it has relevance to their lives. Therefore, this report examines the role that these activities have in participatory sensing. Specifically, we discuss the opportunities and challenges in using the concept of Community Level Indicators (CLIs), which are measurable and objective sources of information gathered to complement sensor data. We describe how CLIs are used to develop a more indepth understanding of the environmental problem at hand, and to record, monitor and evaluate the progress of change during initiatives. We propose that CLIs provide one way to move participatory sensing beyond a primarily technological practice and towards a social and environmental practice. This is achieved through an increased focus in the participants’ interests and concerns, and with an emphasis on collective problem solving and action. We position our claims against the following four challenge areas in participatory sensing: 1) generating and communicating information and understanding (c.f. Loreto, 2017), 2) analysing and finding relevance in data (c.f. Becker et al., 2013), 3) building community around participatory sensing (c.f. Fraser et al., 2005), and 4) achieving or monitoring change and impact (c.f. Cheadle et al., 2000). We discuss how the use of CLIs can tend to these challenges. Furthermore, we report and assess six ways in which CLIs can address these challenges and thereby support participatory sensing initiatives: i. Accountability ii. Community assessment iii. Short-term evaluation iv. Long-term evaluation v. Policy change vi. Capability The report then returns to the challenge areas and reflects on the learnings and recommendations that are gleaned from three Making Sense case studies. Afterwhich, there is an exposition of approaches and tools developed by Making Sense for the purposes of advancing participatory sensing in this way. Lastly, the authors speak to some of the policy outcomes that have been realised as a result of this research.
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Downes, Jane, ed. Chalcolithic and Bronze Age Scotland: ScARF Panel Report. Society for Antiquaries of Scotland, September 2012. http://dx.doi.org/10.9750/scarf.09.2012.184.

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The main recommendations of the panel report can be summarised under five key headings:  Building the Scottish Bronze Age: Narratives should be developed to account for the regional and chronological trends and diversity within Scotland at this time. A chronology Bronze Age Scotland: ScARF Panel Report iv based upon Scottish as well as external evidence, combining absolute dating (and the statistical modelling thereof) with re-examined typologies based on a variety of sources – material cultural, funerary, settlement, and environmental evidence – is required to construct a robust and up to date framework for advancing research.  Bronze Age people: How society was structured and demographic questions need to be imaginatively addressed including the degree of mobility (both short and long-distance communication), hierarchy, and the nature of the ‘family’ and the ‘individual’. A range of data and methodologies need to be employed in answering these questions, including harnessing experimental archaeology systematically to inform archaeologists of the practicalities of daily life, work and craft practices.  Environmental evidence and climate impact: The opportunity to study the effects of climatic and environmental change on past society is an important feature of this period, as both palaeoenvironmental and archaeological data can be of suitable chronological and spatial resolution to be compared. Palaeoenvironmental work should be more effectively integrated within Bronze Age research, and inter-disciplinary approaches promoted at all stages of research and project design. This should be a two-way process, with environmental science contributing to interpretation of prehistoric societies, and in turn, the value of archaeological data to broader palaeoenvironmental debates emphasised. Through effective collaboration questions such as the nature of settlement and land-use and how people coped with environmental and climate change can be addressed.  Artefacts in Context: The Scottish Chalcolithic and Bronze Age provide good evidence for resource exploitation and the use, manufacture and development of technology, with particularly rich evidence for manufacture. Research into these topics requires the application of innovative approaches in combination. This could include biographical approaches to artefacts or places, ethnographic perspectives, and scientific analysis of artefact composition. In order to achieve this there is a need for data collation, robust and sustainable databases and a review of the categories of data.  Wider Worlds: Research into the Scottish Bronze Age has a considerable amount to offer other European pasts, with a rich archaeological data set that includes intact settlement deposits, burials and metalwork of every stage of development that has been the subject of a long history of study. Research should operate over different scales of analysis, tracing connections and developments from the local and regional, to the international context. In this way, Scottish Bronze Age studies can contribute to broader questions relating both to the Bronze Age and to human society in general.
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Roye, Thorsten. Unsettled Technology Areas in Deterministic Assembly Approaches for Industry 4.0. SAE International, August 2021. http://dx.doi.org/10.4271/epr2021018.

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Increased production rates and cost reduction are affecting manufacturing in all sectors of the mobility industry. One enabling methodology that could achieve these goals in the burgeoning “Industry 4.0” environment is the deterministic assembly (DA) approach. The DA approach is defined as an optimized assembly process; it always forms the same final structure and has a strong link to design-for-assembly and design-for-automation methodologies. It also looks at the whole supply chain, enabling drastic savings at the original equipment manufacturer (OEM) level by reducing recurring costs and lead time. Within Industry 4.0, DA will be required mainly for the aerospace and the space industry, but serves as an interesting approach for other industries assembling large and/or complex components. In its entirety, the DA approach connects an entire supply chain—from part manufacturing at an elementary level to an OEM’s final assembly line level. Addressing the whole process of aircraft design and manufacturing is necessary to develop further collaboration models between OEMs and the supply chain, including addressing the most pressing technology challenges. Since all parts aggregate at the OEM level, the OEM—as an integrator of all these single parts—needs special end-to-end methodologies to drastically decrease cost and lead time. This holistic approach can be considered in part design as well (in the design-for-automation and design-for-assembly philosophy). This allows for quicker assembly at the OEM level, such as “part-to-part” or “hole-to-hole” approaches, versus traditional, classical assembly methods like manual measurement or measurement-assisted assembly. In addition, it can increase flexibility regarding rate changes in production (such as those due to pandemic- or climate-related environmental challenges). The standardization and harmonization of these areas would help all industries and designers to have a deterministic approach with an end-to-end concept. Simulations can easily compare possible production and assembly steps with different impacts on local and global tolerances. Global measurement feedback needs high-accuracy turnkey solutions, which are very costly and inflexible. The goal of standardization would be to use Industry 4.0 feedback and features, as well as to define several building blocks of the DA approach as a one-way assembly (also known as one-up assembly, or “OUA”), false one-way assembly, “Jig-as-Master,” etc., up to the hole-to-hole assembly approach. The evolution of these assembly principles and the link to simulation approaches are undefined and unsolved domains; they are discussed in this report. They must be discussed in greater depth with aims of (first) clarifying the scope of the industry-wide alignment needs and (second) prioritizing the issues requiring standardization. NOTE: SAE EDGE™ Research Reports are intended to identify and illuminate key issues in emerging, but still unsettled, technologies of interest to the mobility industry. The goal of SAE EDGE™ Research Reports is to stimulate discussion and work in the hope of promoting and speeding resolution of identified issues. SAE EDGE™ Research Reports are not intended to resolve the challenges they identify or close any topic to further scrutiny.
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