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Energy consumption of high-rise double skin façade buildings, a machine learning analysis

Journal of Building Engineering 2024年 89卷

作者： Rezaie, Maedeh Kariminia, Shahab Band, Shahab S. Ameri, Rasoul Farokhi, Maryam Pai, Hao-Ting Gocer, Ozgur Rismanchi, Behzad Shooshtarian, Salman Department of Architecture Advancement in Architecture and Urban Planning Research Center Najafabad Branch Islamic Azad University Najafabad Iran Future Technology Research Center National Yunlin University of Science and Technology Douliu Taiwan Department of Information Management International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Information Management National Yunlin University of Science and Technology Taiwan Bachelor Program of Big Data Applications in Business National Pingtung University Pingtung Taiwan School of Architecture Design and Planning The University of Sydney SydneyNSW Australia Renewable Energy and Energy Efficiency Group Department of Infrastructure Engineering Faculty of Engineering and Information Technology The University of Melbourne Australia School of Property Construction and Project Management RMIT University Melbourne Australia

Most energy exchanges take place through the building skin. The skin characteristics play a decisive role in the extent of these exchanges, but they are somewhat more varied in the double skin façade (DSF). Among these characteristics, cavity segmentation has a noticeable effect on the implementation of the DSF in different directions during the hot and cold seasons. The aim of this study was to investigate the role of DSF segmentation in energy consumption and natural ventilation of high-rise buildings in hot and dry climates. This study used designBuilder software to study sixty-four segmentation component scenarios in an eight-story residential building in Isfahan, Iran. Moreover, a proposed hybrid model utilizing the hybridization of the Hunger Game Search and Gradient Boosting (HGS-GB) algorithm was employed to estimate energy consumption in various scenarios involving lighting, heating, cooling, and total scenarios. The available outcomes revealed that the HGS-GB model had a better performance in comparison with other individual models, such as Gradient Boosting (GB), Random Forest (RF), and K-nearest neighbors (KNN). The R2 values for lighting, heating, cooling, and total energy estimation were 0.9993, 0.9958, 0.9991, and 0.9922, respectively. The findings of this study suggest the significance of DSF segmentation in energy consumption and natural ventilation in high-rise buildings in hot and dry climates. © 2024 Elsevier Ltd

关键词： Forestry

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A race for a better understanding of COVID-19 vaccine non-adopters

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Brain, Behavior, and Immunity - Health 2020年 9卷 100159-100159页

作者： Su, Zhaohui Wen, Jun Abbas, Jaffar McDonnell, Dean Cheshmehzangi, Ali Li, Xiaoshan Ahmad, Junaid Šegalo, Sabina Maestro, Daniel Cai, Yuyang Incoming Postdoctoral Fellow Center on Smart and Connected Health Technologies Mays Cancer Center School of Nursing UT Health San Antonio San Antonio 78229 TX United States School of Business and Law Edith Cowan University Perth 6027 WA Australia Antai College of Economics and Management and School of Media and Communication Shanghai Jiao Tong University Shanghai 200240 China Department of Humanities Institute of Technology Carlow Carlow R93 V960 Ireland Head of Department of Architecture and Built Environment Professor of Architecture and Urban Design Faculty of Science and Engineering University of Nottingham Ningbo China Ningbo 315100 Zhejiang China Program of Public Relations and Advertising Beijing Normal University-Hong Kong Baptist University United International College China Prime Institute of Public Health Peshawar Medical College Peshawar Warsak Road Peshawar 25160 Pakistan Department of Microbiology Faculty of Medicine University of Sarajevo Sarajevo 71000 Bosnia and Herzegovina Department of Environmental Health Institute for Public Health of Federation Bosnia and Herzegovina Sarajevo 71000 Bosnia and Herzegovina School of Public Health China Institute for Urban Governance Shanghai Jiao Tong University School of Medicine Shanghai 200025 China

In this paper, we aim to underscore the need for a more nuanced understanding of vaccine non-adopters. As the availability of vaccines does not translate into their de facto adoption—a phenomenon that may be more pronounced amid “Operation Warp Speed”—it is important for public health professionals to thoroughly understand their “customers” (i.e., end users of COVID-19 vaccines) to ensure satisfactory vaccination rates and to safeguard society at large. © 2020

关键词： Coronavirus COVID-19 Vaccination Vaccine hesitancy Vaccine non-adopters Vaccines

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Interactive land-use optimization using laguerre voronoi diagram with dynamic generating point allocation

Interactive land-use optimization using laguerre voronoi dia...

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ISPRS Geospatial Week 2017

作者： Chaidee, S. Pakawanwong, P. Suppakitpaisarn, V. Teerasawat, P. Graduate School of Advanced Mathematical Sciences Meiji University Nakano Tokyo164-8525 Japan Graduate School of Information Science and Technology University of Tokyo Bunkyo Tokyo113-0033 Japan JST ERATO Kawarabayashi Large Graph Project Japan International Program in Architecture and Urban Design Graduate School of Science and Technology Meiji University Nakano Tokyo164-8525 Japan

In this work, we devise an efficient method for the land-use optimization problem based on Laguerre Voronoi diagram. Previous Voronoi diagram-based methods are more efficient and more suitable for interactive design than discrete optimization-based method, but, in many cases, their outputs do not satisfy area constraints. To cope with the problem, we propose a force-directed graph drawing algorithm, which automatically allocates generating points of Voronoi diagram to appropriate positions. Then, we construct a Laguerre Voronoi diagram based on these generating points, use linear programs to adjust each cell, and reconstruct the diagram based on the adjustment. We adopt the proposed method to the practical case study of Chiang Mai University's allocated land for a mixed-use complex. For this case study, compared to other Voronoi diagram-based method, we decrease the land allocation error by 62.557%. Although our computation time is larger than the previous Voronoi-diagram-based method, it is still suitable for interactive design. © Authors 2017. CC BY 4.0 License.

关键词： Linear programming

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BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

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Global Ecology and Biogeography 2025年第5期34卷

作者： Maria Dornelas Laura H. Antão Amanda E. Bates Viviana Brambilla Jonathan M. Chase Cher F. Y. Chow Ada Fontrodona-Eslava Anne E. Magurran Inês S. Martins Faye Moyes Alban Sagouis Samuel Adu-Acheampong Daniel Acquah-Lamptey Dušan Adam Penelope A. Ajani Aitor Albaina Pablo Almaraz Jeongseop An Roger Sigismund Anderson Madelaine Jean Robertson Anderson Alexsander Z. Antunes Ivan Arismendi Linda Armbrecht Pedro Aros-Mardones Sreejith Kalpuzha Ashtamoorthy Narayanan Ayyappan Gal Badihi Joseph J. Bailey Andrew H. Baird Mark Edward Baird Sreekumar Vadakkethil Balakrishnan José António L. Barão-Nóbrega Adi Barash Miguel Barbosa Jos Barlow Claus Bässler Matthieu Beaumont Natalie Beenaerts Tiago Octavio Begot Wallace Beiroz Ricardo Beldade David M. Bell Alecia Bellgrove Jonathan Belmaker Lisandro Benedetti-Cecchi Cassandra E. Benkwitt Pamela Medina-van Berkum Brandon T. Bestelmeyer Matthew G. Betts Maxwell Kelvin Billah Anne D. Bjorkman Magdalena Błażewicz Christopher P. Bloch Shane A. Blowes Antonio Bode Juliano A. Bogoni Thomas Bolger Timothy C. Bonebrake Erik Bonsdorff Roberta Bottarin Luke N. Brokensha Rob W. Brooker Andrew J. Brooks Helge Bruelheide Thiago Almeida Bueno Claire Laguionie Mariana Lopes Campagnoli James Cant Erica Pellegrini Caramaschi Alexandre Caron Tadhg Carroll Tancredi Caruso Juan Carvajal-Quintero Giuseppe Castaldelli Edward Castañeda-Moya Pedro V. Castilho Sonia Zanini Cechin Shahar Chaikin Uchangi Manjunatha Chandrashekara Tory J. Chase Chaolun Allen Chen Jorge José Cherem Sei-Woong Choi Erica M. Christensen Alexander V. Christianini Jackson Wing Four Chu Peter Coad Carl Van Colen Lise Comte Elisabeth J. Cooper J. Hans C. Cornelissen Eddy Cosson Unai Cotano Luc Crevecoeur Shannan Kyle Crow Graeme S. Cumming Vanessa S. Daga Gabriella Damasceno Gergana N. Daskalova Claire H. Davies Robert A. Davis Frank P. Day Sussy De-La-Zerda Amy Elizabeth Deacon Indradatta de Castro-Arrazola Steven Degraer Kharran Deonarinesingh Juan C. Diaz-Ricaurte Christopher R. Dickman Tara Dirilgen Ciaran John Dolan J. Emmet Centre for Biological Diversity School of Biology University of St Andrews Fife UK MARE—Centro de Ciências do Mar e do Ambiente Faculdade de Ciências Universidade de Lisboa Lisboa Portugal Research Centre for Ecological Change Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland Department of Biology University of Victoria Victoria British Columbia Canada German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany Department of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany Leverhulme Centre for Anthropocene Biodiversity Department of Biology University of York York UK Department of Animal Biology and Conservation Science University of Ghana Accra Ghana Philipps Universität Marburg Marburg Germany Department of Forest Ecology Silva Tarouca Research Institute Brno Czech Republic School of Life Sciences University of Technology Sydney Sydney New South Wales Australia Zoology and Animal Cell Biology Department University of the Basque Country (UPV/EHU) Leioa Spain Grupo de Oceanografía de Ecosistemas Instituto de Ciencias Marinas de Andalucía CSIC Campus Universitario de Puerto Real Puerto Real Spain National Institute of Ecology Seocheon Republic of Korea African Regional Postgraduate Programme in Insect Science University of Ghana Accra Ghana Département de Biologie Université de Sherbrooke Sherbrooke Quebec Canada Núcleo de Conservação da Biodiversidade Instituto de Pesquisas Ambientais Secretaria de Meio Ambiente Infraestrutura e Logística do Estado de São Paulo São Paulo Brazil Department of Fisheries Wildlife and Conservation Sciences Oregon State University Corvallis Oregon USA Institute for Marine and Antarctic Studies Ecology & Biodiversity Centre University of Tasmania Hobart Tasmania Australia Graduate Program in Oceanography Department of Oceanography Faculty of Natural Scienc

Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.

关键词： assemblage biodiversity community database ecoinformatics species taxa time

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Q&A

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design Management Review 2014年第2期25卷

作者： Cheryl Heller Mariana Amatullo Jeff Barnum Liz Ogbu Cameron Tonkinwise Founded two companies and taught creativity to leaders and organizations around the world. In addition to her work with corporations foundations and nonprofits she is the founding chair of the first MFA program in Design for Social Innovation at New York City's School for Visual Arts (SVA). She is an advisor to PopTech and a senior fellow at Babson College's Social Innovation Lab as well as at its Lewis Institute. Heller also serves on the Innovation Advisory Board for the Lumina Foundation and as an advisor to DataKind an organization dedicated to putting big data to use in service to humanity. Co‐founded Designmatters Art Center College of Design's award‐winning social innovation department in 2001. She is responsible for the strategic leadership of a dynamic portfolio of global and national educational projects research collaborations and publications at the intersection of art and design education and social innovation. Amatullo lectures internationally and serves on a variety of advisory and executive boards of organizations engaged in the arts design education and social impact including *** and Cumulus: the International Association of Universities and Colleges of Art Design and Media. She is the recipient of the inaugural 2012 DELL Social Innovation Education award for outstanding leadership in teaching and supporting student social innovators she has been recognized as one of Fast Company's Co.Design 50 Designers Shaping the Future and was also recognized as one of Public Interest Design's Design 100. Amatullo is a doctoral fellow in design and innovation/non-profit management at the Weatherhead School of Management Case Western Reserve University where her research focuses on design and social innovation. She holds an MA in art history and museum studies from the University of Southern California and a Licence en Lettres degree from the Sorbonne University Paris. Co‐founder of two companies Reos and Magenta. As a social innovation strategist who grew up in the arts Barnum focuses on h

As the founding chair of the first MFA program in design for social innovation, this educator hopes to encourage the many people who want to work at a strategic level using design to solve humanity's major challenges. Amatullo has built a career by encouraging designers and social innovators to use empathy, connect multiple perspectives, and tolerate ambiguity as a secret weapon in solving humanity's most complex problems. Having grown up in the arts, this social innovation strategist wants to apply the creative process to systemic social change. This strategist for social change has done everything from designing shelters for immigrant day laborers in the US to providing sanitation for low‐income Kenyans. Now teaching at Carnegie Mellon University's School of design, this champion of sustainability in design and design strategy has plenty to say about social transformation and its role in disruptive innovation.

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Coupled Human and Natural Systems

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AMBIO: A Journal of the Human Environment 2007年第8期36卷 639-649页

作者： Jianguo Liu Thomas Dietz Stephen R. Carpenter Carl Folke Marina Alberti Charles L. Redman Stephen H. Schneider Elinor Ostrom Alice N. Pell Jane Lubchenco William W. Taylor Zhiyun Ouyang Peter Deadman Timothy Kratz William Provencher Rachel Carson Chair in Ecological Sustainability University Distinguished Professor and Director Center for Systems Integration and Sustainability Michigan State University Professor of Sociology and Crop and Social Science Director of the Environmental Science and Policy Program and Assistant Vice President for Environmental Research Michigan State University Stephen Alfred Forbes Professor of Zoology University of Wisconsin Professor and Director Beijer Institute Royal Swedish Academy of Sciences Science Director Stockholm Resilience Centre Department of Systems Ecology Stockholm University Associate Professor of Urban Design and Planning and Adjunct Associate Professor of Landscape Architecture University of Washington Director School of Sustainability and Virginia M. Ullman Professor of Natural History and Environment Arizona State University Melvin and Joan Lane Professor for Interdisciplinary Environmental Studies Professor of Biological Sciences Professor of Civil and Environmental Engineering and Senior Fellow Woods Institute for the Environment Stanford University Co-Director Workshop in Political Theory and Policy Analysis Indiana University Founding Director Center for the Study of Institutional Diversity Arizona State University Professor of Animal Sciences and Director Cornell International Institute for Food Agriculture and Development Cornell University Wayne and Gladys Valley Professor of Marine Biology Distinguished Professor of Zoology Oregon State University University Distinguished Professor and Chair Department of Fisheries and Wildlife Michigan State University Professor and Director State Key Lab of Urban and Regional Ecology Research Center for Eco-environmental Sciences Chinese Academy of Sciences Associate Professor Department of Geography University of Waterloo Senior Scientist and Director University of Wisconsin Trout Lake Station University of Wisconsin Professor University of Wisconsin

Humans have continuously interacted with natural systems, resulting in the formation and development of coupled human and natural systems (CHANS). Recent studies reveal the complexity of organizational, spatial, and temporal couplings of CHANS. These couplings have evolved from direct to more indirect interactions, from adjacent to more distant linkages, from local to global scales, and from simple to complex patterns and processes. Untangling complexities, such as reciprocal effects and emergent properties, can lead to novel scientific discoveries and is essential to developing effective policies for ecological and socioeconomic sustainability. Opportunities for truly integrating various disciplines are emerging to address fundamental questions about CHANS and meet society's unprecedented challenges.

关键词： ANTHROPOGENIC effects on nature COUPLED mode theory (Wave-motion) BIOCOMPLEXITY SPATIO-temporal variation GLOBAL environmental change DISCOVERIES in science SUSTAINABLE development

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