Relevant bibliographies by topics / Smart housing

Academic literature on the topic 'Smart housing'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Smart housing"

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Djuric, Stanka, and Marija Mihajlovic. "Economy 'smart buildings' housing." Journal of Process Management. New Technologies 5, no. 1 (2017): 1–6. http://dx.doi.org/10.5937/jouproman5-12730.

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Korniyenko, S. V., T. N. Astafurova, and O. P. Kozlova. "Housing in a Smart City." IOP Conference Series: Materials Science and Engineering 1079, no. 2 (March 1, 2021): 022050. http://dx.doi.org/10.1088/1757-899x/1079/2/022050.

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Sangle, Rohan S. "Affordable Housing Using Smart Solutions." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 3644–47. http://dx.doi.org/10.22214/ijraset.2021.37161.

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The grоwth оf Indiаn соnstruсtiоn is gоing tо ассelerаte tо fulfill (meet) the need оf future generаtiоn, time effeсtive аnd асhieving аdvаnсe teсhnique. The рарer bаsed оn use оf different smаrt sоlutiоns fоr рrоviding better living соnditiоns tо рeорle in аffоrdаble рriсe. Use оf Sоlаr Energy grid system tо reduсe the energy bills аs well аs use оf рreсаst teсhnоlоgy tо reduсe the соst оf соnstruсtiоn. Рreсаst соnstruсtiоn teсhnique enhаnсed the quаlity оf wоrk, sаve time, reduсed the соst оf соnstruсtiоn required fоr mаintenаnсe оf wоrk. The Sоlаr Grid Systems will helр рeорle tо generаte energy аnd suррly it tо mаin grid, reduсing their bill аs well аs in роssible future nullifying them. This рарer reviews аnd summаrizes the benefits аnd аdvаntаges оf smаrt оr eсо-friendly sоlutiоns in mаking аffоrdаble hоusings mоre eсоnоmiс.
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Addison, Carey, Sumei Zhang, and Bradley Coomes. "Smart Growth and Housing Affordability." Journal of Planning Literature 28, no. 3 (January 23, 2013): 215–57. http://dx.doi.org/10.1177/0885412212471563.

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Tomal, Mateusz. "Moving towards a Smarter Housing Market: The Example of Poland." Sustainability 12, no. 2 (January 17, 2020): 683. http://dx.doi.org/10.3390/su12020683.

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Cities are currently undergoing vast changes, which have very significant implications for the functioning of the housing market. In particular, it should be stated that the traditional residential market, in imitation of the smart city concept, is becoming increasingly smarter. This smartness can be expressed in four dimensions: the “automatic” rental housing market; innovative digital platforms in the traditional housing market; innovative policies and housing models; and the ability to forecast demand on the housing market, which together form the so-called smart housing concept. On this basis, this study attempted to assess empirically the smartness of the residential markets in Polish provincial capitals. Firstly, after a thorough analysis of digital housing portals, official websites of Polish provincial capitals and public statistics data, the smart housing concept was operationalised in all its dimensions by defining appropriate indicators measuring its level in a given city. Then, using the zero unitarization and entropy weight methods, followed by a no-pattern synthetic measure, a comprehensive smart housing index was obtained for each city investigated. Research results showed that there is a large degree of variation in the level of smartness of the housing markets in the examined cities. Furthermore, the analysis also indicates that the economic dimension of the smart city concept and the co-working concept are the main driving forces behind the development of smart residential markets. In addition, the study reveals that the implementation of the smart housing concept has a positive impact on the quality of life of city inhabitants.
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Misra, Medha, Pawan Singh, and Anil Kumar. "Energy Optimization for Smart Housing Systems." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 1, no. 1 (April 25, 2020): 1–6. http://dx.doi.org/10.54060/jieee/001.01.005.

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Smart home is an emerging technology which is growing continuously now. It integrates many of the new technologies with the help of home networking for improving human’s quality and standard of living, so there are many projects which are researching in diverse technologies in order to apply them to the smart home system. As the technology evolves it comforts mankind with some additional ease and advancement. At the time the evolution calls upon all the daily routine devices to operate over internet and this project is based on the idea to make these devices accessible to the owner anytime anywhere. Particularly for now we intend to connect electrical appliances in any house to a kind of a local area network so that it can be operated by the respective authorities so as to minimize the electricity wastage. Further these devices along with sensors can be made to operate on their own, intelligently and accurately. The excellency of the project can be utilized in hostels and classrooms as well where most of the times we find electrical appliances operational even when not necessary. The idea is to turn a house into a smart house. The project utilizes the current technology such as wifi and low cost electronic modules to meet the requirements of IOT and gives it a web as well as an app interface for an ease of access. The technologies which we are using include - Wifi module, Relay module, Raspberry pi, Sensors for automatic support and feedback to user. The project can be extended to cloud also for data storage and providing access to authorized user.
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Colistra, Joe. "Innovations in Housing for Smart Cities." Journal of Architectural Engineering 25, no. 4 (December 2019): 06019001. http://dx.doi.org/10.1061/(asce)ae.1943-5568.0000370.

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Elariane and Dubé. "Is Smart Housing a Good Deal? An Answer Based on Monte Carlo Net Present Value Analysis." Sustainability 11, no. 15 (August 2, 2019): 4193. http://dx.doi.org/10.3390/su11154193.

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The smart cities are considered to be an engine of economic and social growth. Most countries started to convert their existing cities into smart cities or construct new smart cities in order to improve the quality of life of their inhabitants. However, the problem that facing those countries while applying the concept of smart cities is the costs, especially for the residential sector. Despite the high initial and even operation costs for adopting different technologies in smart housing; the benefits could exceed those costs within the lifespan of the project. This article is shedding the light on the economics of smart housing. This study aims to evaluate the net present value (NPV) of a smart economic housing model to check the viability and feasibility of such projects. The calculation of the NPV based on Monte Carlo simulation provides an interesting methodological framework to evaluate the robustness of the results as well as providing a simple way to test for statistical significance of the results. This analysis helps to evaluate the potential profitability of smart housing solutions. The research ends up by proving the feasibility of this type of project.
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Odefadehan, Christian. "SMART CITY DEVELOPMENT, URBAN GOVERNANCE AND AFFORDABLE HOUSING IN LAGOS NIGERIA." Caleb Journal of Social and Management Sciences 06, no. 01 (August 31, 2021): 51–69. http://dx.doi.org/10.26772/cjsms2021060103.

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Smart city is a major discussion in metropolitan planning and governance as it involves using technology to create livable spaces for the present and the future; it also considers issues of mobility, governance, economy and energy production. The innovation of smart city initiative can be beneficial to urban planning and policies for house provision. The housing challenge is a prominent issue in Lagos, the economic capital of Nigeria with more than 20 million inhabitants. Despite the attempts by the Lagos state government to create low-cost housing for citizens living and working in the city, there are still enormously high housing deficits because of the city’s overpopulation and limited resources. The city still lacks adequate infrastructures for mobility, networking and affordable housing as some people come from other states to work in the state; this has increased the urban carbon emissions. Yet, emerging discourses on housing infrastructure have rarely engaged the smart city question in urban governance of Lagos. Although there is a plethora of literature interrogating urbanization processes and housing, there are feeble attempts at explaining the notion of the smart city as the panacea for infrastructural inadequacies and urban development. This research examines the concept of smart city and its implication for urban governance structures and affordable housing in Lagos, drawing information and data from interviews and relevant secondary sources. The relevance of this study is to the government, private sector and architectural community is formulating policies through the application of the smart city concept in a megacity in a developing country like Lagos.
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Pearson-Merkowitz, Shanna, and Corey Lang. "Smart Growth at the Ballot Box: Understanding Voting on Affordable Housing and Land Management Referendums." Urban Affairs Review 56, no. 6 (July 17, 2019): 1848–75. http://dx.doi.org/10.1177/1078087419861430.

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This study investigates voter decision-making on two smart-growth components: land preservation and affordable housing. We seek to understand how voters make concurrent decisions about unpaired smart-growth components at the ballot box. Previous studies of smart growth, affordable housing, and environmental preservation have focused primarily on describing the attitudes and traits of voters on these policies, utilize aggregate voting outcomes, or are case studies of single towns in which there is a fairly homogenous group of residents either supporting or opposing the policy. We draw on a unique data set to investigate the different covariates of attitudes for environmental preservation and affordable housing: an exit poll of voters in the 2016 Rhode Island General Election on bond referendums for environmental preservation and affordable housing. We find that the coalition for smart growth that includes both land preservation and affordable housing is undermined by views of minorities and the poor as undeserving.
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Dissertations / Theses on the topic "Smart housing"

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Liu, Luyan. "Wireless Communication in Smart Housing." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-37631.

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With the development of computer and information technology, information and network will be the inevitable trend of smart home which aims to offer a comfortable, efficient, and convenient home. In this thesis, the background, developments and limitations of smart home systems will be described. Wired and wireless technologies applied on the smart home network will be analyzed and a comparison of them will be made. Finally, the ZigBee technology is selected to design the wireless communication network. For the system design, the thesis describes an idea where cluster topology is chosen to design the smart home system and demonstrates the process of networking as well. Based on the Labview platform, a smart home system will be simulated to achieve the functions included in data acquisition, analysis, display and storage. More specially, I will focus on temperature monitoring and control of heating and cooling systems. Finally, an analysis of the advantages and disadvantages of the smart home system is given.
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CARFAGNA, GIUSEPPE. "Integrated energy interchange platform between green system of smart housing and smart mobility." Doctoral thesis, Università degli Studi di Camerino, 2018. http://hdl.handle.net/11581/408083.

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In recent years, the need for personal urban mobility has increased a lot especially in emerging and developing countries. It becomes increasingly important to explore propulsion systems that use alternative energy sources and are related to the chain of production, storage and use of renewable energy. Several studies have been conducted in this area, but very few have achieved solutions for the interaction of the vehicle with the building by which it is parked in terms of a multi-energy exchange. Technological innovation of house plant parts, of large residences / hotels, of shelter stations for vehicles, it is now crucial to implement the integration of more renewable energy sources within the same building structure: this is one of the aspects covered by the most general definition of "Smart Housing". Sustainable mobility is perceived as a strong need to match individual urban and sub-urban mobility, to the least environmental and social impact of such personal need. This research project proposes a possible scenario for energy integration between smart housing and smart mobility using a common energy platform that allows self-generation, storage and energy exchange between residential district buildings and smart vehicles. The project integrates multidisciplinary approaches with the aim of designing, evaluating technical and industrial feasibility for the development of: 1) Modular and scalable energy storage devices dedicated to a smart house. 2) a modular city vehicle, with high flexibility of use, with energy storage system and energy-efficient switching capabilities with smart building.
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Satpathy, Lalatendu. "SMART HOUSING: TECHNOLOGY TO AID AGING IN PLACE - NEW OPPORTUNITIES AND CHALLENGES." MSSTATE, 2006. http://sun.library.msstate.edu/ETD-db/theses/available/etd-06082006-012243/.

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We are at the threshold of a great change in architectural design. With cheaper and more ubiquitous computing, ?smart? spaces and responsive environments are increasingly becoming plausible and affordable. Are we as architects prepared? Can the profession of architecture respond to current computing technologies? Most critics agree that one of the first (most important) problems that ?smart? homes will help to address is that of spiraling costs of elderly healthcare and care giving. But what is the problem with healthcare? Even if there is a problem, the rural home is different from an urban home. Will the technologies that are designed for the urban home work in a rural setting? What are the differences between urban and rural healthcare models? In this thesis, we address the above questions through research of current problems and models of rural healthcare and through a documentation of studies and reports published over the last decade. This research helps us to understand if architecture can really augment healthy aging in rural home settings. In conclusion, we will examine the role of architecture (and architects) in the context of ubiquitous computing and ?smart? spaces in rural areas and propose a possible solution for this problem.
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Schlossberg, Jeffrey S. "A model for smart growth housing development along Boston's commuter rail system." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118202.

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Thesis: M.C.P., Massachusetts Institute of Technology, Department of Urban Studies and Planning, 2018.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 87-89).
Massachusetts and the Boston metro area benefit from a diverse and thriving economy. However, the metro area's cost of living, and housing prices in particular, are among the highest in the nation. Housing supply will not keep pace with forecasted demand over the next several decades, which will substantially reduce expected population and economic growth. In addition, the region is expected to see a shift in demand from single-family homes to multifamily apartments as younger people enter the workforce and look for housing in urban areas. If the region's housing stock does not adapt and provide the types of housing as well as the needed quantity, companies and individuals are likely to leave the area for regions with lower costs of living and easier access to housing. Fortunately, the Boston metro area has one of the most expansive commuter rail systems in the country. Many of the system's station areas are underutilized and have the potential to accommodate more units of housing if smart growth policies are implemented and development occurs. These station areas represent a future source of land area for transit-oriented development that few other regions can match. This thesis estimates the current supply of housing along the commuter rail system and estimates how much additional supply could be accommodated if municipalities pursued smart growth policies, like Chapter 40R, that encourage transit-oriented development near commuter rail stations. Recognizing that zoning changes and development are slow processes, this thesis also proposes a model for prioritizing what specific stations are most suitable for new housing development and most appropriate for smart growth advocates and housing developers to focus their zoning and development efforts.
by Jeffrey S. Schlossberg.
M.C.P.
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Dong, Hongwei. "Assessing Portland's Smart Growth: A Comprehensive Housing Supply and Location Choice Modeling Approach." PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/183.

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There are extensive empirical studies on the impacts and effectiveness of Smart Growth policies; however, very few of them consider the perspective of individual decision makers and, to this author's knowledge, none have studied developers as location-aware decision-making agents. This study tries to fill this gap partially by assessing the impacts of Portland's smart growth policies on developers' location choice behavior with developer-based location choice models. The dissertation has two purposes. By assessing the impacts of Smart Growth policies on individual home developer's location choice, it provides a micro- and behavioral foundation for the understanding of Smart Growth policies. As a bi-state metropolitan area located on the border between Oregon and Washington, the Portland region provides a unique environment that allows my research to examine whether home developers react to Smart Growth policies differently in the two states with different land use policy systems. The dissertation also aims to create a developer-based land development forecast model, which can be used as a scenario analysis tool for the Portland region's long-term land use and transportation planning. Besides the developer location choice model mentioned above, the components of this comprehensive developer-based land development model also include a time series regression model that predicts annual new housing supply in the region and a model that synthesizes housing projects in a forecast year. The study shows that home developers in the Portland metropolitan area are sensitive to most Smart Growth policies that have been implemented in the region, but they react to them differently across the border between Oregon and Washington. Single-family home (SFH) and multi-family home (MFH) developers show different preferences for location attributes. The most significant predictors of where a developer will choose to locate a project are the locations of previous projects. After controlling for all of the other factors discussed above, there remains a strong preference for developing SFH units outside of the UGB in both Oregon and Washington sides of the Portland metropolitan area. Latent class models have been developed to detect taste variations among home developers in the SFH and MFH markets separately. Estimation results show clear taste variations across developers and housing projects with respect to site attributes in their location choice. With other variables in the segmentation model being the same, project size provides a better fit to the data than developer size, indicating that developers have taste variations among their different projects. Large size SFH projects developed by contractor-owners are more likely to be within the UGB and their locations tend to have higher residential density, housing diversity, transportation accessibility, road density, and land price. With most MFH projects within the UGB, estimation results show that large size MFH projects prefer the locations with higher residential density, housing diversity, mixed use, road density, land price, average household income, and proportion of young and middle age households. The three-step new housing supply and location choice forecast model seem to be able to capture the basic trend of housing market and land development in the Portland region. Three different aggregate housing supply forecast models, an conditional time series regressive model, a unconditional time series regression model, and an auto-regression integrated moving average (ARIMA) model were tested and their advantages and disadvantages were discussed. Both the SFH and MFH project synthesis models can simulate housing projects well for a forecast year. Three location choice models were developed to allocate synthesized housing projects into space. The three models are characterized separately as: (1) assumed market homogeneity and atomization of development projects; (2) deterministic market segmentation and synthesis of projects by size; and (3) probabilistic market segmentation and synthesis of projects by size, using a latent class approach. Examination of forecast results shows that all three models can successfully capture the basic spatial pattern of housing development in the region; however, the spatial distribution of MFH development is lumpier and more unpredictable. While Models 2 and 3 are more sophisticated and make more sense from a theoretical perspective, they do not return better forecast results than Model 1 due to some practical issues. Models 2 and 3 would be expected to perform better when those practical issues are solved, at least partially, in future research.
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MCGOOGIN, LARRY RASHIED. "SMART STEP SAVINGS - WHY IT WAS DIFFICULT TO MEET ITS OBJECTIVES." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin992285026.

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Ruddiman, Elizabeth P. "Is Smart Growth Fair Growth: Do Urban Growth Boundaries Keep out Racial Minorities?" unrestricted, 2007. http://etd.gsu.edu/theses/available/etd-08062007-090141/.

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Thesis (Ph. D.)--Georgia State University, 2007.
Title from file title page. Charles Jaret , committee chair; Robert Adelman, Donald Reitzes, committee members. Electronic text (96 p. : ill.) : digital, PDF file. Description based on contents viewed Nov. 1, 2007. Includes bibliographical references (p. 88-94).
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Abernathy, Laura Michelle. "The suitability of affordable housing, 'smart urbanism,' and informality a case study of Rocinha, a favela in Rio de Janeiro, Brazil /." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024488.

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Sandström, Greger. "Smart Homes and User Values : Long-term evaluation of IT-services in Residential and Single Family Dwellings." Doctoral thesis, KTH, Arkitektur, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11782.

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Do residents find value in smart home functions? How should these functions be designed to offer user benefit? These were the governing questions of this study that involved nearly 200 families in three different housing projects during five years of occupancy. The housing units were equipped with advanced smart homes solutions, electronic and digital devices to control them, and a set of functions to increase comfort, safety and security in the homes. The evaluations of the residents' use and benefits were accomplished in two different phases, i) evaluation of the user expectations' before and direct after occupancy and ii) long-term experiences after 3-5 years. A third phase of the study represents a radical shift in view. Issues related to innovation and organisation of service delivery were brought into the fore. The research is founded on the multiple case-based methodology. Literature studies were effected. Data acquisition was based on interviews and questionnaires. Theoretical models from different research areas were used in order to analyse observations and to arrive to grounded conclusions. Important conclusions include the fact that smart home functionalities must be developed as close as possible out of the users' genuine needs as experienced in their daily lives. Failure to attain accessibility to a certain function will cause disappointment and will be forsaken. To gain and over time preserve the user's trust in smart home functions or in a system as a whole is conclusive for the their use. Another conclusion is that a viable business model for smart homes must include the occupancy phase. Surveillance and maintenance of smart home systems must be secured over time. It is argued that the failure of establishing a viable long-term service to homes to the benefit to the user depends highly on the market’s ability to supply the homes with appropriate services over time. Possible ways to mediate revealed shortcomings are outlined and what role and responsibility the housing construction industry has to consider with the further development of smart homes.
QC 20100809
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Juchelka, Tomáš. "Centrum chytré čtvrti Špitálka." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2021. http://www.nusl.cz/ntk/nusl-443687.

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This thesis deals with an architectural case study of the city block in the Svitava industrial zone bordered by the Svitava river in the east, Ring road in the west, Milady Horákové street in the north and Zvonařka street in the south. Špitálka Smart City is located right in the centre of this area. The thesis is modeled on the Špitálka Smart City urban study, that was the outcome of the pre-thesis seminar in the winter term 2020/21. The urban study objective was the urban renewal of the Brno teplárny (heating plant) area and its surroundings as well as a design of a new urban boulevard. To effectively use the place a residential building with commercial spaces on the groundfloor has been designed. The building consists of four sections, which share two underground storeys providing parking space and space for building services. The case study further develops only the section that is labeled A in the study. Section A offers 23 housing units and a café. The design aims at high quality housing with a view of the city replacing the former industrial zone.
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Books on the topic "Smart housing"

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Doloi, Hemanta, and Sally Donovan. Affordable Housing for Smart Villages. k, Abingdon, Oxon ; New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.1201/9780429200250.

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Doloi, Hemanta, Ray Green, and Sally Donovan. Planning, Housing and Infrastructure for Smart Villages. Abingdon, Oxon ; New York, NY : Routledge is an imprint of the Taylor & Francis Group, an Informa Business, 2019.: Routledge, 2018. http://dx.doi.org/10.1201/9781351261081.

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Smith, Ralph Lee. Smart house: The coming revolution in housing. Columbia, Md: GP Pub., 1988.

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Buang, Salleh. Smart growth. Petaling Jaya, Selangor, Malaysia: Pacifica Pub., 2008.

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Maerki, Daniel O. Wohnen 2018 - Smart Living: Innovationen für Bewohner und Wohnungswirtschaft. Wien: IMV Medien AG, 2008.

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Silverstein, Alan Michael. Hidden profits in your mortgage: The smart-money guide to home ownership. Don Mills, Ont: Stoddart, 1985.

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Regional Plan Association (New York, N.Y.), ed. Balanced housing for a smart region: Policies for addressing the housing problems of the New York metropolitan region. New York, N.Y: Citizens Housing and Planning Council, 2006.

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Bestick, Betty J. Get real estate smart: A how to book. Fort Dodge, IA: Wrenhouse Press, 1994.

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Innovative Housing Grants Program (Alta.). The smart subdivision: Residential applications of IVDM technology. Edmonton: Innovative Housing Grants Program, Alberta Municipal Affairs, 1987.

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Nadia, Jensen, and Copans Stuart, eds. Smart moves: Your guide through the emotional maze of relocation. [Lyme, N.H.]: Smith and Kraus, 1996.

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Book chapters on the topic "Smart housing"

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Doloi, Hemanta, Ray Green, and Sally Donovan. "Housing." In Planning, Housing and Infrastructure for Smart Villages, 71–88. Abingdon, Oxon ; New York, NY : Routledge is an imprint of the Taylor & Francis Group, an Informa Business, 2019.: Routledge, 2018. http://dx.doi.org/10.1201/9781351261081-5.

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Doloi, Hemanta, and Sally Donovan. "Housing affordability." In Affordable Housing for Smart Villages, 68–86. k, Abingdon, Oxon ; New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.1201/9780429200250-5.

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Pant, Yogesh, Atul Rawat, Abhishek Gupta, and Ashwini Kumar Saini. "Energy-efficient and secured housing." In Smart Computing, 802–7. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003167488-99.

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Larsson, Anthony, and Andreas Hatzigeorgiou. "Housing." In Designing Smart and Resilient Cities for a Post-Pandemic World, 96–128. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003222583-6.

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Phang, Sock-Yong. "Smart Practices for Housing Finance Systems." In Housing Finance Systems, 175–84. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137014030_13.

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Marsh, Phillipa. "Intelligent Housing for People and Technology: Examining Sustainable Housing Beyond the Technical and the Opportunities for Design." In Smart Design, 57–63. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2975-2_7.

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Doloi, Hemanta, and Sally Donovan. "Housing in rural settings." In Affordable Housing for Smart Villages, 6–23. k, Abingdon, Oxon ; New York : Routledge, 2020.: Routledge, 2019. http://dx.doi.org/10.1201/9780429200250-2.

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Costantino, Andrea, Salvador Calvet, and Enrico Fabrizio. "Energy Efficient Livestock Housing." In Encyclopedia of Smart Agriculture Technologies, 1–16. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89123-7_167-1.

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Spirkova, Daniela, and Dagmar Cagáňová. "Smart Housing in Sustainable Development." In Internet of Things. IoT Infrastructures, 52–59. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19743-2_8.

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Bruin, Marilyn, Sauman Chu, Jodene Riha, Amanda Smoot, and G. Mauricio Mejia. "Smart Housing: An Intelligent Environment for Aging Independently." In Smart Design, 31–39. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2975-2_4.

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Conference papers on the topic "Smart housing"

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Ruiz, Pedro Soza, Bruno Perelli Soto, and Ricardo Tapia Zarricueta. "Smart cities, smart housing, smart habitat: are we there yet?" In XXV International Conference of the Iberoamerican Society of Digital Graphics. São Paulo: Editora Blucher, 2021. http://dx.doi.org/10.5151/sigradi2021-373.

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Aljer, Ammar, Marine Loriot, Isam Shahrour, and Afif Benyahya. "Smart system for social housing monitoring." In 2017 Sensors Networks Smart and Emerging Technologies (SENSET). IEEE, 2017. http://dx.doi.org/10.1109/senset.2017.8125057.

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Erfaneh, Allameh, and Mohammadali Heidari. "Smart technologies in the future housing constructions." In Creative Construction Conference 2018. Budapest University of Technology and Economics, 2018. http://dx.doi.org/10.3311/ccc2018-014.

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Sergeeva, Irina G., Olga E. Medvedeva, and Victor L. Vasilenok. "Smart Technologies in Housing and Communal Services." In III International Scientific and Practical Conference "Digital Economy and Finances" (ISPC-DEF 2020). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/aebmr.k.200423.002.

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Murawiowa, Nelly, Elena Mudrova, and Viktoria Degtereva. "Smart Housing and Utilities: A Causal Diagram." In SPBPU IDE-2021: 3rd International Scientific Conference on Innovations in Digital Economy. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3527049.3527134.

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Volarik, Tomas. "SMART HOUSING ESTATE: MULTIDISCIPLINARY DATA FOR ENVIRONMENTAL MODELLING." In 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING. Stef92 Technology, 2014. http://dx.doi.org/10.5593/sgem2014/b21/s8.100.

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Skeledzija, Niksa, Josip Cesic, Edin Koco, Vladimir Bachler, Hrvoje Nikola Vucemilo, and Hrvoje Dzapo. "Smart home automation system for energy efficient housing." In 2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2014. http://dx.doi.org/10.1109/mipro.2014.6859554.

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Gupta, Kaushik, Mandar Kulkarni, Manas Magdum, Yash Baldawa, and Shivprasad Patil. "Smart Water Management in Housing Societies using IoT." In 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2018. http://dx.doi.org/10.1109/icicct.2018.8473262.

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Shirnova, S. A. "THE MAIN TRENDS OF "SMART HOUSING AND UTILITIES" AND THE PERSONNEL COMPONENT OF THE DIGITAL DEVELOPMENT OF THE INDUSTRY." In Regional economy and territorial development. INSTITUTE OF PROBLEMS OF REGIONAL ECONOMICS OF THE RUSSIAN ACADEMY OF SCIENCES, 2021. http://dx.doi.org/10.52897/978-5-8088-1636-7-2021-15-1-182-197.

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The article discusses the main trends in the transformation of the housing and communal services sector in the conditions of digital development of the economy and society. The state of the housing and communal services sector is determined taking into account the modern system of indicative analysis. The processes of building the digital infrastructure of housing and communal services within the framework of the concepts of "Smart housing and communal services" and "Smart home" are investigated. The problems of staffing of housing and communal services by specialized workers and IT specialists are considered.
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Zahrah, Aghnia, and Ahmad Gamal. "Balanced Housing as the Implementation of the Principle of Inclusivity." In 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC). IEEE, 2018. http://dx.doi.org/10.1109/icsgsc.2018.8541283.

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Reports on the topic "Smart housing"

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Eckman, Bill, and Michael Lubliner. Smart, Connected Manufactured Housing Solutions through High-Performance Design. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1897844.

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Dong, Hongwei. Assessing Portland's Smart Growth: A Comprehensive Housing Supply and Location Choice Modeling Approach. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.183.

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Susantono, Bambang, and Robert Guild, eds. Creating Livable Asian Cities. Asian Development Bank, April 2021. http://dx.doi.org/10.22617/sgp210110.

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This book explores how Asia’s fast-growing cities can fulfil their potential as engines of economic prosperity and provide a livable environment for all citizens. But for this to happen, major challenges that reduce urban communities’ quality of life and economic opportunities must be addressed. These include poor planning, a lack of affordable housing, inequalities, pollution, climate vulnerabilities, and urban infrastructure deficits. The book’s 19 articles unwrap these challenges and present solutions focused on smart and inclusive planning, sustainable transport and energy, innovative financing, and resilience and rejuvenation.
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Exploring the Prospects of Using 3D Printing Technology in the South African Human Settlements. Academy of Science of South Africa (ASSAf), 2021. http://dx.doi.org/10.17159/assaf.2021/0074.

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South Africa is a country with significant socio-economic development challenges, with the majority of South Africans having limited or non-existent access to basic infrastructure, services, housing and socio-economic opportunities etc. The urban housing backlog currently exceeds 2.4 million houses, with many families living in informal settlements. The Breaking New Grounds Policy, 2014 for the creation of sustainable human settlements, acknowledges the challenges facing human settlements, such as, decreasing human settlements grants allocation, increasing housing backlog, mushrooming of informal settlements and urbanisation. The White Paper on Science, Technology and Innovation (STI), 2019 notes that South Africa has not yet fully benefited from the potential of STI in addressing the socio-economic challenges and seeks to support the circular economy principles which entail a systematic change of moving to a zero or low waste resource-efficient society. Further to this, the Science and Technology Roadmap’s intention is to unlock the potential of South Africa’s human settlements for a decent standard of living through the smart uptake of science, technology and innovation. One such novel technology is the Three-Dimensional (3D) printing technology, which has produced numerous incredible structures around the world. 3D printing is a computer-controlled industrial manufacturing process which encompasses additive means of production to create 3D shapes. The effects of such a technology have a potential to change the world we live in and could subsequently pave the roadmap to improve on housing delivery and reduce the negative effects of conventional construction methods on the environment. To this end, the Academy of Science of South Africa (ASSAf), in partnership with the Department of Science and Innovation (DSI) and the University of Johannesburg (UJ) hosted the second virtual IID seminar titled: Exploring the Prospects of Using 3D Printing Technology in the South African Human Settlements, on 01 March 2021 to explore the potential use of 3D printing technology in human settlements. The webinar presented preliminary findings from a study conducted by UJ, addressing the following topics: 1. The viability of 3D printing technology 2. Cost comparison of 3D printed house to conventional construction 3. Preliminary perceptions on 3D printing of houses Speakers included: Dr Jennifer Mirembe (NDoHS), Dr Jeffrey Mahachi, Mr Refilwe Lediga, Mr Khululekani Ntakana and Dr Luxien Ariyan, all from UJ. There was a unanimous consensus that collaborative efforts from all stakeholders are key to take advantage of this niche technology. @ASSAf_Official; @dsigovza; @go2uj; @The_DHS; #SA 3D_Printing; #3D Print_Housing; #IID
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