Relevant bibliographies by topics / Intelligent building

Contents

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

Academic literature on the topic 'Intelligent building'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Intelligent building"

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Zhao, Wangchu. "Applications of Intelligent Artificial and Communication Technologies in Intelligent Buildings." Highlights in Science, Engineering and Technology 10 (August 16, 2022): 156–62. http://dx.doi.org/10.54097/hset.v10i.1245.

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With the development of society and the progress of science and technology, more and more technologies are being applied to the intelligent building system. The study summarizes and analyzes the development status of intelligent buildings, then analyzes and generalizes the advantages, disadvantages, and applications of several artificial intelligence and communication technologies in the intelligent building system. Results show that this paper introduces the three applications of artificial intelligence systems in intelligent buildings, including expert control systems, artificial neural systems, and intelligent decision systems, as well as the application of communication technology in intelligent buildings, including virtual LAN technology, communication network technology and broadband network technology. Artificial intelligence technology can reflect the current situation of buildings to people in real-time, judge emergencies instead of experts, and make the best choice to prolong the service life and stability of buildings. Communication technology can help users realize remote offices and home offices. The application of these technologies in intelligent buildings may not be mature at this stage, but the development and application potential are still very considerable.
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Wang, Xiang Ning, Qing Lin, and Jing Chen. "Application of Artificial Intelligence in Intelligent Buildings." Applied Mechanics and Materials 347-350 (August 2013): 466–70. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.466.

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This paper introduced concept of artificial intelligence and intelligent building at first. Then analyzed the necessity of using AI in the intelligent buildings. At last introduced some typical application of AI in intelligent building such as delightful interior light-environments control system, air conditioning load calculate system and air conditioning control system and fault diagnosis expert system for building intelligent system.
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Edwards, Rodger. "Intelligent Buildings and Building Automation." Construction Management and Economics 29, no. 2 (February 2011): 216–17. http://dx.doi.org/10.1080/01446193.2010.542470.

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Kristina, Golub. "EVALUATION CRITERIA OF THE OFFICE BUILDINGS INTELLECTUALITY." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Arhìtektura 3, no. 1 (June 15, 2021): 39–52. http://dx.doi.org/10.23939/sa2021.01.039.

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The article defines the main criteria of office buildings intelligence, describes the stages of intelligent buildings formation, analyzes the profitability of the introduction of modern technical means (engineering systems) and architectural planning techniques in office buildings. At different stages of civilization, the concept of "technology" defines the path leading to future progress, and the rate of technology change is directly proportional to the rate of progress. Nowadays, artificial intelligence is extremely important for the functioning of modern office buildings, including the impact on the environment, resource conservation, safety, comfort and life support. According to research based on the works of scientists such as Derek Clements-Croome, Mervi Himannen, Akin Adejimi and others, and based on the analysis of intellectual buildings of the world from the 50s of the twentieth century to the present, 4 stages of intelligent buildings formation were identified. At the first stage (1950-1980) of the formation, separate controllers were introduced. At the second stage (1980-1995), the introduction of the "artificial intelligence" - Building Management System (BMS) - was developed and used. At the third stage (from 1995 to 2010) an intelligent building management system (IBMS) was introduced, which can independently identify threats, look for ways to achieve results and make decisions. Starting from 2010, we can highlight the fourth stage of development of the intelligent buildings, in which, in addition to the availability of the intelligent management system (IBMS), it became necessary to use approaches of sustainable architecture. The research results indicate that the office building should be classified as an "intelligent building" if it meets the following criteria: 1. Has artificial intelligence (IBMS), which autonomously manages the building; 2. Has at least 15 thousand information points, in other words, sensors and controllers, through which information is received from controlled engineering systems about the state of equipment and the environment, the state of building structures, etc.; 3. Complies with the principles of sustainable architecture, when planning and architectural techniques can minimize the negative impact of buildings on the environment through energy efficiency. The article proves that the office buildings intelligence is determined by the availability of both technological means and the optimal architectural concept, which minimize the negative impact of buildings on the environment; improve energy efficiency and conditions of the building exploitation. Therefore, further research of intelligent buildings from the point of architectural view is necessary, because a modern office building must be designed with the ability to adapt to rapid changes in technology and human needs.
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Volkov, Andrey, Vitaliy Chulkov, and Dmitriy Korotkov. "Intelligent Building." Advanced Materials Research 1065-1069 (December 2014): 1606–9. http://dx.doi.org/10.4028/www.scientific.net/amr.1065-1069.1606.

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The problems of intellectual construction understanding are investigated. Intelligent building is proposed to be considered in the framework of the basic infographic model "man-technology-environment". Three levels life cycle implementation model is provided.
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Balas, Marius, Jelena Nikolic, Ramona Lile, Mihaela Popa, and Roxana Beiu. "INTELLIGENT ROOFTOP GREENHOUSES AND GREEN SKYLINE CITIES." SWS Journal of EARTH AND PLANETARY SCIENCES 1, no. 2 (October 1, 2019): 15–28. http://dx.doi.org/10.35603/eps2019/issue2.02.

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The paper proposes a new concept of green building, able to oppose the global warming, the Intelligent Rooftop Greenhouse iRTG, as a development of the Integrated Rooftop Greenhouse IRTG. Our approach is to re­place conventional roofs with IRTGs, which are constructively con­nected with the interior of the building by flows of energy, gazes (mainly O2 enriched air from RTG to building and CO2 enriched air from build­ing to RTG) and water in order to improve the building’s metabolism. A tight human-plant sym­biosis is created such way. iRTGs perfect this architecture by actively controlling the energy, gazes and water flows, by collecting the available renewable energy resources (geothermal, sun, wind) and by adding Internet of Things IOT features to the system, in order to connect it to a surrounding Smart City. This way iRTGs may achieve an efficient integrated management of energy, gases and water, using just existing technologies: heat pumps (water to water for building’s basement and air to air for green­house), solar panels, IOT equipment, etc., controlled in a smart/intelligent manner. If a Smart City is composed mostly of iRTG buildings it becomes a Smart Green Skyline City, with low carbon foot­print and high carbon offset. The paper provides a mathematical iRTG model.
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Wen, Yafeng. "Research on the intelligent construction of prefabricated building and personnel training based on BIM5D." Journal of Intelligent & Fuzzy Systems 40, no. 4 (April 12, 2021): 8033–41. http://dx.doi.org/10.3233/jifs-189625.

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With the promotion of BIM Technology, prefabricated building is developed rapidly in China. However, BIM technology has been only partially applied to prefabricated building, and there is still a gap between prefabricated building and intelligent construction. This paper focus on BIM 5D, together with relevant information technologies, all of which will be highly integrated and applied to prefabricated building, with the mission to get related information and enable the rapid flow of information, as well as bringing human perception, memory, knowledge and wisdom into prefabricated building, driving the development of prefabricated buildings to intelligence and leanness. Intelligent construction is an innovated construction model based on the combination of latest information technology and engineering construction. Thus, it is particularly important to train personnel with corresponding knowledge structure, knowledge system and professional ability for intelligent construction. This paper also discusses about how to train personnel on prefabricated building and intelligent construction.
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Birangal, Gitanjali, Dr S. V. Admane, and S. S. Shinde. "Energy Efficiency Approach to Intelligent Building." International Journal of Engineering Research 4, no. 7 (July 1, 2015): 389–93. http://dx.doi.org/10.17950/ijer/v4s7/711.

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Han, Ze Yuan, Ning Zhang, Zhe Cheng Wu, and Yue Ming Lu. "Research on Design of Intelligent Building Internal Structure Based on Building Materials." Advanced Materials Research 738 (August 2013): 113–16. http://dx.doi.org/10.4028/www.scientific.net/amr.738.113.

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New building materials cover a very wide area, such as insulation materials, high-strength materials, breathing material. Intelligent building is the inevitable product of new building materials in the information age, and the level of intelligence of the building gradually increases with the development of science and technology. This paper presents a novel intelligent building design. In the intelligent building, a wireless sensor networks can be reliable perception of the regional environmental and some parameter information be known by the monitoring nodes that widely distributed in the area. This design has the safe, efficient, comfortable, convenient and flexible features.
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Chen, Ming Yuan, Shih Yuan Liu, and Yeng Horng Perng. "Probe into the Development and Strategies of Implementation for Intelligent Buildings in Taiwan." Applied Mechanics and Materials 584-586 (July 2014): 1829–34. http://dx.doi.org/10.4028/www.scientific.net/amm.584-586.1829.

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Since 1985, various intelligent technologies have introduced and policy-driven in Taiwan, the intelligent building system has gradually formed catering for the characteristics of Taiwan. Therefore, this study proceeds to explore current status and survey strategies of policy implementation for intelligent buildings development in Taiwan, and further obtained countermeasures for building developers and public sectors in implementation intelligent buildings. The study firstly proceeds to relevant literature review and analysis of intelligent buildings both domestic and foreign, and through statistic and analysis in case studies and content analysis method, acquires Taiwan intelligent building evaluation indicator items for normal and non-normal application of intelligent building system by building developers and public sectors. Through study found four evaluation indicator items of normal application, and one evaluation indicator items of non-normal application, as well as building developers selected quantity and items of evaluation indicator fewer than public sectors. It is expected that study result will providing assessment and references to building developers and public sectors for the direction and implement strategy of intelligent building development in future, and further promote the realization goal of sustainable intelligent green building in Taiwan.
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Dissertations / Theses on the topic "Intelligent building"

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Farzin, Moghaddam Maryam. "Evaluating Intelligence In Intelligent Buildings Case Studies In Turkey." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614438/index.pdf.

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Advances in technologies and the idea of incorporating technological solutions into buildings have made it possible to provide more comfortable and secure spaces for living or working. The term &ldquo
intelligent building&rdquo
is becoming very popular in terms of attaching prestige to a project and improving its desirability. However too many buildings are claimed to be intelligent and adaptive to change but, without an appropriate understanding of intelligent building concept and also capabilities of assessing an intelligent building, it is not possible to judge such claims. In view of the fact that truly intelligent buildings provide their occupants with efficient facilities and comfortable space, many experts and researchers have discussed the characteristics of intelligent buildings and come up with different definitions and assessment systems, but none agree with each other completely. The aim of this study was to evaluate intelligence in intelligent buildings and provide responsiveness clues in terms of system efficiency and user convenience to find out whether buildings claimed to be intelligent meet the intelligence requirements or not. v After conducting a literature survey to identify main intelligence characteristics, two buildings both claimed to be intelligent and able to provide occupants with healthy, secure and comfortable space, were selected as the case studies. The intelligent building principals and specific design considerations together with efficient system integration and system requirements were examined in the case studies. It was concluded that, even though case studies were admired in terms of holding commercial value and applying new technologies but there existed a lack in either employing or incorporating that technologies to meet desired responsiveness and dynamism which, are main attributes of intelligent buildings.
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Morgan, Jeffrey S. "Intelligent buildings." Thesis, Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/23141.

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Wren, Duncan E. "Computer simulation of intelligent building facades." Thesis, Loughborough University, 2000. https://dspace.lboro.ac.uk/2134/7351.

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The economic and environmental benefits secured through the increased integration of photovoltaic (PV) technology into the built environment are undeniable and provide the principal motivation for this research. Present delays in the technology transfer of building integrated photovoltaics (BIPV) can be attributed to the following; material cost, performance guarantee, increased installation complexity and unfamiliar technology. It is well understood that the temperature of a PV material receiving solar irradiation, will increase with solar intensity, while reducing in electrical efficiency. It therefore makes economic sense to minimise the increase in PV material temperature and maximise electrical energy yield. Through the addition of a convecting fluid, flowing over the surface of heated PV material, heat transfer will be induced. With the added benefit of warm air capture from an integrated photovoltaic/thermal (PVT) collector, the economic benefits are increased. But, to ensure maximum utilisation of both thermal and electrical energy production, a significantly more complex control system has to be employed than that for a PV system on its own. Modelling the energy flows within a multifunctional PVT building facade presents a problem of considerable complexity. Previous work in this area has centred on performing finite element analysis of the system in order to find solutions to complex algorithms. It requires considerable computational power to perform these calculations and often the results produced are much more detailed than required. Within this thesis, a fully operational PVT facade model is presented, giving the potential for improved multifunctional facade design. This new model has been developed into a software program for use within the TRNSYS environment. By using the TRNSYS software, a detailed building model has been created and integrated with the new PVT facade model. Simulations were then undertaken to evaluate the energy transfers between internal and external environments and the electrical and thermal energy capturing capabilities of the facade. Simulated results have been evaluated against experimental data taken from a fully operational PVT facade. The results conclude that the presented model simulates the energy flows around, through and within the facade (radiative, conductive, convective and electrical) very well. Performance enhancing development work is due to take place on the operational facade analysed in this work, very soon. This new facade model will be used as a tool to evaluate the proposed changes to the building prior to this development work being undertaken.
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Sivan, Jagadha. "Building intelligent market places with software agents." [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5970/newpdf.PDF.

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Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains viii, 81 p.; also contains graphics. Vita. Includes bibliographical references (p. 77-80).
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Bellman, Markus, and Gustav Göransson. "Intelligent Process Automation : Building the bridge between Robotic Process Automation and Artificial Intelligence." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263090.

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Process Automation has the potential to yield great benefits for companies and organizations, especially in the financial services industry where companies are information-intensive and experience rich data flows. This has mostly been done through Robotic Process Automation (RPA), but the increased maturity of Machine Learning algorithms has increased the viability of combining classic RPA with Artificial Intelligence, leading to Intelligent Process Automation (IPA). However, there is a set of challenges embedded in the transition from RPA to IPA. These challenges need to be dealt with in order to ensure that the benefits of the new technology can be harvested. The aim of this research was to identify this set of challenges that the companies will face, as well as provide guidance to what preparations that need to be made before IPA can be implemented in full scale. The research was conducted as a theory building case study at a large Swedish bank. An empirical study was conducted, consisting of interviews with researchers, as well as automation professionals and R&D at the case company. The findings of the empirical study and previous research on the area were combined and condensed into a guiding framework for organizations wanting to adopt IPA.
Processautomation har potentialen att ge stora fördelar för företag och organisationer, speciellt i finansbranschen där företag är informationsintensiva och har stora dataflöden. Detta har huvudsakligen gjorts med Robotic Process Automation (RPA) men den ökade mognadsgraden av maskininlärning har snabbt förbättrat möjligheten att kombinera RPA med Artificiell Intelligens (AI) för att därmed möjliggöra Intelligent Process Automation (IPA). I övergången från RPA till IPA uppkommer däremot en del utmaningar och problem som företag måste hanteras innan potentialen med dessa nya tekniker kan förverkligas. Den här forskningen ämnar att identifiera de utmaningar som företagen kommer ställas inför samt ge vägledning för vilka förberedelser som företagen måste genomföra innan IPA kan implementeras fullskaligt i organisationen. Forskningen genomfördes som en teoribyggande fallstudie på en stor svensk bank. Den teoretiska grunden samlades in genom en omfattande litteraturstudie och en empirisk studie bestående av intervjuer med forskare samt automationsutvecklare och FoU på banken. Resultaten från litteraturstudien och empirin kombinerades och kondenserades till ett vägvisande ramverk för organisationer som vill implementera IPA.
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Tsui, Ming-kei. "An evaluation of the application of the intelligent building (IB) technology in the development of Hong Kong's buildings industry." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B4255617X.

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Pollock, Alan James. "Intelligent interpretation of CAD drawings for building evaluations." Thesis, University of Ulster, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243626.

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Yang, Li. "Building an Intelligent Filtering System Using Idea Indexing." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4275/.

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The widely used vector model maintains its popularity because of its simplicity, fast speed, and the appeal of using spatial proximity for semantic proximity. However, this model faces a disadvantage that is associated with the vagueness from keywords overlapping. Efforts have been made to improve the vector model. The research on improving document representation has been focused on four areas, namely, statistical co-occurrence of related items, forming term phrases, grouping of related words, and representing the content of documents. In this thesis, we propose the idea-indexing model to improve document representation for the filtering task in IR. The idea-indexing model matches document terms with the ideas they express and indexes the document with these ideas. This indexing scheme represents the document with its semantics instead of sets of independent terms. We show in this thesis that indexing with ideas leads to better performance.
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Yang, Rui. "Development of Integrated Building Control Systems for Energy and Comfort Management in Intelligent Buildings." University of Toledo / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1384447299.

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Wong, Kwok Wai Johnny. "Development of selection evaluation and system intelligence analytic models for the intelligent building control systems." Thesis, The Hong Kong Polytechnic University, 2007. https://eprints.qut.edu.au/20343/1/c20343.pdf.

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With the availability of innumerable ‘intelligent’ building products and the dearth of inclusive evaluation tools, design teams are confronted with the quandary of choosing the apposite building control systems to suit the needs of a particular intelligent building project. The paucity of measures that represent the degree of system intelligence and indicate the desirable goal in intelligent building control systems design further inhibits the consumers from comparing numerous products from the viewpoint of intelligence. This thesis is organised respectively to develop models for facilitating the selection evaluation and the system intelligence analysis for the seven predominant building control systems in the intelligent building. To achieve these objectives, systematic research activities are conducted to first develop, test and refine the general conceptual models using consecutive surveys; then, to convert the developed conceptual frameworks to the practical models; and, finally, to evaluate the effectiveness of the practical models by means of expert validations.----- The findings of this study, on one hand, suggest that there are different sets of critical selection criteria (CSC) affecting the selection decision of the intelligent building control systems. Service life, and operating and maintenance costs are perceived as two common CSC. The survey results generally reflect that an ‘intelligent’ building control system does not necessarily need to be technologically advanced. Instead, it should be the one that can ensure efficiency and enhance user comfort and cost effectiveness. On the other hand, the findings of the research on system intelligence suggest that each building control system has a distinctive set of intelligence attributes and indicators. The research findings also indicate that operational benefits of the intelligent building exert a considerable degree of influence on the relative importance of intelligence indicators of the building control systems in the models. This research not only presents a systematic and structured approach to evaluate candidate building control systems against the CSC, but it also suggests a benchmark to measure the degree of intelligence of one control system candidate against another.
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Books on the topic "Intelligent building"

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Intelligent building and building automation. London: Spon Press, 2010.

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Himanen, Mervi. The intelligence of intelligent buildings: The feasibility of the intelligent building concept in office buildings. Espoo [Finland]: VTT, 2003.

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Himanen, Mervi. The intelligence of intelligent buildings: The feasibility of the intelligent building concept in office buildings. Espoo: Technical Research Centre of Finland, 2003.

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1965-, Chan Wai Lok, ed. Intelligent building systems. Boston: Kluwer Academic, 1999.

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Hulten, Geoff. Building Intelligent Systems. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7.

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Hulten, Geoff. Building Intelligent Systems. Berkeley, CA: Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-3933-9.

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So, Albert Ting-pat, and Wai Lok Chan. Intelligent Building Systems. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5019-8.

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So, Albert Ting-pat. Intelligent building systems. Boston, MA: Springer US, 1999.

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Wen, John T., and Sandipan Mishra, eds. Intelligent Building Control Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68462-8.

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York, Theodore R. Intelligent buildings: Access floor - don't plan your building without it ; Can you afford an intelligent building? Kingston upon Thames: Building Maintenance Information Ltd., 1994.

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Book chapters on the topic "Intelligent building"

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Hulten, Geoff. "Intelligent Telemetry." In Building Intelligent Systems, 171–82. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_15.

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Egges, Arjan. "Intelligent Enemies." In Building JavaScript Games, 355–64. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6539-9_27.

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Hulten, Geoff. "Introducing Intelligent Systems." In Building Intelligent Systems, 3–13. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_1.

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Hulten, Geoff. "Verifying Intelligent Experiences." In Building Intelligent Systems, 111–19. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_10.

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Hulten, Geoff. "Balancing Intelligent Experiences." In Building Intelligent Systems, 75–86. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_7.

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Hulten, Geoff. "Modes of Intelligent Interaction." In Building Intelligent Systems, 87–95. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_8.

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Hulten, Geoff. "Intelligence Management." In Building Intelligent Systems, 157–69. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_14.

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Hulten, Geoff. "Representing Intelligence." In Building Intelligent Systems, 197–207. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_17.

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Hulten, Geoff. "Evaluating Intelligence." In Building Intelligent Systems, 225–44. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_19.

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Hulten, Geoff. "Organizing Intelligence." In Building Intelligent Systems, 263–78. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3432-7_21.

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Conference papers on the topic "Intelligent building"

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Cesta, A. "Intelligent supervision for ambient intelligence: customizing scheduling technology." In IEE Seminar on Intelligent Building Environments. IEE, 2005. http://dx.doi.org/10.1049/ic:20050241.

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Williams, M. "Intelligent building environments." In IEE Seminar on Intelligent Building Environments. IEE, 2005. http://dx.doi.org/10.1049/ic:20050202.

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Bin, Zhu. "Building intelligent education system." In Proceedings of the 6th EAI International Conference on IoT in Urban Space, Urb-IoT 2021, 20-21 December 2021, Shenzhen, People’s Republic of China. EAI, 2022. http://dx.doi.org/10.4108/eai.20-12-2021.2315015.

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Bishara, Ayman, Helge Kramberger, Andreas Weder, and Marcus Pietzsch. "Wireless Sensor System for Intelligent Facades." In 7th International Building Physics Conference. Syracuse, New York: International Association of Building Physics (IABP), 2018. http://dx.doi.org/10.14305/ibpc.2018.im-1.06.

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Trivedi, M. "Mobilizing intelligent environments (Abstract only)." In IEE Seminar on Intelligent Building Environments. IEE, 2005. http://dx.doi.org/10.1049/ic:20050197.

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Bucko, Radoslav, Tibor Vince, Jan Molnar, Jozef Dziak, and Andrii Gladyr. "Safety system for intelligent building." In 2017 International Conference on Modern Electrical and Energy Systems (MEES). IEEE, 2017. http://dx.doi.org/10.1109/mees.2017.8248903.

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Sutedy, Vincent, Peng Wang, L. H. Koh, and Fook Hoong Choo. "Intelligent eco-building management system." In 2015 IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2015. http://dx.doi.org/10.1109/cyber.2015.7287940.

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Žáček, Martin. "Knowledge formalization of intelligent building." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2015 (ICNAAM 2015). Author(s), 2016. http://dx.doi.org/10.1063/1.4951888.

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Yan, Feng. "A Building Integrated Control Platform Oriented Towards Intelligent Building." In ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3469213.3470424.

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Scott, J. "Location-aware computing and intelligent environments." In IEE Seminar on Intelligent Building Environments. IEE, 2005. http://dx.doi.org/10.1049/ic:20050195.

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Reports on the topic "Intelligent building"

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Rubin, Arthur. Intelligent building technology in Japan. Gaithersburg, MD: National Institute of Standards and Technology, 1991. http://dx.doi.org/10.6028/nist.ir.4546.

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2

Pertzborn, Amanda J. Intelligent Building Agents Laboratory: Hydronic System Design. National Institute of Standards and Technology, September 2016. http://dx.doi.org/10.6028/nist.tn.1933.

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Pertzborn, Amanda J., and Daniel A. Veronica. Intelligent building agents laboratory: air system design. Gaithersburg, MD: National Institute of Standards and Technology, September 2018. http://dx.doi.org/10.6028/nist.tn.2025.

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4

Auslander, David, David Culler, Paul Wright, Yan Lu, and Mary Piette. A Distributed Intelligent Automated Demand Response Building Management System. Office of Scientific and Technical Information (OSTI), March 2013. http://dx.doi.org/10.2172/1172982.

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Pertzborn, Amanda J., and Daniel A. Veronica. Baseline Control Systems in the Intelligent Building Agents Laboratory. National Institute of Standards and Technology, September 2022. http://dx.doi.org/10.6028/nist.tn.2178.

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6

David Archer, Frederik Betz, Yun Gu, Rong Li, Flore Marion, Sophie Masson, Ming Qu, et al. Advanced Building Efficiency Testbed Initiative/Intelligent Workplace Energy Supply System; ABETI/IWESS. Office of Scientific and Technical Information (OSTI), May 2008. http://dx.doi.org/10.2172/964182.

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Pertzborn, Amanda J. Measurement uncertainty of the air system in the intelligent building agents laboratory. Gaithersburg, MD: National Institute of Standards and Technology, March 2019. http://dx.doi.org/10.6028/nist.tn.2037.

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8

Kelly, George E., and Steven T. Bushby. Detecting faults in building air handling units – a background study for developing intelligent agents for optimizing building HVAC systems. National Institute of Standards and Technology, April 2014. http://dx.doi.org/10.6028/nist.tn.1831.

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9

Chen, Xingyuan, Umakant Mishra, Jashua Fisher, Peishi Jiang, Maruti Mudunuru, Alexander Sun, Pin Shuai, Sagar Gautam, and David Moulton. Building Intelligent Cyberinfrastructure to Learn Iteratively from both Observations and Models for Understanding Watershed Dynamics. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769684.

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10

Kunwar, Niraj, Mahabir Bhandari, Kuldeep Kurte, Anthony Gehl, Bipin Shah, and Logesh Janarthanan. Intelligent Energy Optimizer for Residential Buildings. Office of Scientific and Technical Information (OSTI), October 2022. http://dx.doi.org/10.2172/1895221.

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