Architectural Science Review最新文献_第4页

Comparison of different thermal comfort models: mosque and church cases 不同热舒适度模型的比较：清真寺和教堂案例

IF 2.3 3区艺术学

Architectural Science Review Pub Date : 2023-12-28 DOI: 10.1080/00038628.2023.2296489

Ahmet Bircan Atmaca, Gülay Zorer Gedik, Andreas Wagner, Marcel Schweiker

引用次数: 0

Influence of selection of rural reference area for quantifying the surface urban heat islands intensity in major South Korean cities 选择农村参照区对量化韩国主要城市地表热岛强度的影响

IF 2.3 3区艺术学

Architectural Science Review Pub Date : 2023-12-08 DOI: 10.1080/00038628.2023.2290740

Sarath Raj, Geun Young Yun

引用次数: 0

Teaching earthquake-resistant structural systems in architecture department: a hands-on learning experience 建筑系抗震结构体系教学:实践学习经验

IF 2.3 3区艺术学

Architectural Science Review Pub Date : 2023-12-01 DOI: 10.1080/00038628.2023.2288967

Omer Karadag, Nevset Gul Canakcioglu

引用次数: 0

Characterization and modeling of bistable laminates for kinetic shading screens 动态遮阳屏用双稳态层压板的表征和建模

IF 2.3 3区艺术学

Architectural Science Review Pub Date : 2023-11-23 DOI: 10.1080/00038628.2023.2281401

Elena Vazquez, Christopher Willett

引用次数: 0

Assessment of different types of bricks in varying wall configurations in an indoor thermal environment for a semi-arid region 半干旱区室内热环境中不同类型砖在不同墙体结构下的评估

IF 2.3 3区艺术学

Architectural Science Review Pub Date : 2023-11-16 DOI: 10.1080/00038628.2023.2281411

Hardik H. Gajjar, Jai Devi Jeyaraman

引用次数: 0

Comparative aesthetic assessment of machine learning and human judgment for building wall designs 建筑墙体设计中机器学习与人类判断的比较美学评价

3区艺术学

Architectural Science Review Pub Date : 2023-11-03 DOI: 10.1080/00038628.2023.2278500

Seoung Beom Park, Jin-Ho Park, Sejung Jung

{"title":"Comparative aesthetic assessment of machine learning and human judgment for building wall designs","authors":"Seoung Beom Park, Jin-Ho Park, Sejung Jung","doi":"10.1080/00038628.2023.2278500","DOIUrl":"https://doi.org/10.1080/00038628.2023.2278500","url":null,"abstract":"AbstractMachine learning models can potentially provide alternative options in the field of architecture as aesthetic judgment tools, owing to their high capacity and data-driven environments. If a machine learning model can produce aesthetic evaluation results similar to those of humans, the process may be highly promising for further applications in architectural decision-making. In this study, we propose a series of interconnected workflows for a rigorous comparison, including data collection, machine learning, parametric designs, robotic fabrication, and human surveys, to test the compatibility between human judgment and machine learning models in the aesthetic assessment of architectural objects on the same design objects. We observed a wide gap between the aesthetic judgments of the two groups. We discuss certain drawbacks and current limitations to improve the vulnerability of the study process and conclude by providing an outlook for the subsequent direction of a similar study.KEYWORDS: Deep learningTeachable Machineparametric designrobotic fabricationhuman judgement surveyaesthetic assessment Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe data that support the findings of this study are available from the corresponding author, upon reasonable request.Additional informationFundingThis study was supported by the Basic Science Research Program of the National Research Foundation of Korea (NRF), funded by the Ministry of Education (NRF-2021R1A2C1093869).","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135818783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A study to depict challenges and opportunities building industry professionals face when designing inclusive and accessible buildings 一项研究，描述建筑行业专业人士在设计包容性和无障碍建筑时面临的挑战和机遇

3区艺术学

Architectural Science Review Pub Date : 2023-11-01 DOI: 10.1080/00038628.2023.2270983

Matteo Zallio, P. John Clarkson

引用次数: 0

Development and performance testing of a polyvalent heat pump for hot and cold water production 冷热水用多价热泵的研制与性能试验

3区艺术学

Architectural Science Review Pub Date : 2023-10-31 DOI: 10.1080/00038628.2023.2273836

Zheng Wang, Mark B. Luther, Antonis Siamas, Jane Matthews, Chunlu Liu

引用次数: 0

Modelling the perception of visual design principles on façades through fuzzy sets: towards building an automated architectural data generation and labelling tool 通过模糊集对视觉设计原则的感知进行建模:建立一个自动化的建筑数据生成和标签工具

3区艺术学

Architectural Science Review Pub Date : 2023-10-17 DOI: 10.1080/00038628.2023.2269549

Asli Cekmis

{"title":"Modelling the perception of visual design principles on façades through fuzzy sets: towards building an automated architectural data generation and labelling tool","authors":"Asli Cekmis","doi":"10.1080/00038628.2023.2269549","DOIUrl":"https://doi.org/10.1080/00038628.2023.2269549","url":null,"abstract":"AbstractRecent studies showed that deep learning techniques and image processing can identify the distinguishing design principles in architectural façades. However, predicting the strength of a principle is still a challenging task, as it requires a huge amount of annotated design variations. The difficulties in both searching such big numbers of data – and its labelling by experts – slow down the research. This paper proposes a computation approach for obtaining this type of data faster. With the help of parametric modelling and evolutionary algorithms, we could manipulate the design elements, and thereby generate different solutions. An integrated fuzzy logic decision mechanism could enable to carry human knowledge in the judging and labelling of alternatives automatically. The final synthetic data developed from real building images could be used for machine learning applications to enhance our understanding of artistic expression.KEYWORDS: Façade designVisual design principlesFuzzy LogicParametric modellingData generationAutomated labelling AcknowledgementThe author wishes to thank Sinem Kırkan and Tuğrul Agrikli for their valuable support in modelling and visualization parts. Thanks are due to the esteemed raters, whose profound expertise greatly enriched the verification phase. Lastly, the author would like to thank the anonymous reviewers for their constructive comments. The author received no financial support for the research, authorship and/or publication of this article.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availabilityThe data that support the findings of this study are available from the corresponding author, Cekmis, A., upon reasonable request.","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136032888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A neurological examination of gender differences in architectural perception 建筑感知中性别差异的神经学研究

3区艺术学

Architectural Science Review Pub Date : 2023-10-03 DOI: 10.1080/00038628.2023.2264822

Navid Khaleghimoghaddam

{"title":"A neurological examination of gender differences in architectural perception","authors":"Navid Khaleghimoghaddam","doi":"10.1080/00038628.2023.2264822","DOIUrl":"https://doi.org/10.1080/00038628.2023.2264822","url":null,"abstract":"AbstractAs a significant variable related to individual differences, gender affects people’s attitudes and perceptions. The main concern of this study is to investigate the importance of gender in the architectural design process. To this end, it measures architectural perception using neuroscientific measurement tools such as fMRI and objectively examines how the brains of men and women respond to the built environment. A survey experiment was conducted to determine differences between the measurement of spatial features in men and women. The fMRI results showed a significant gender difference between the neural activation of the brain areas involved in architectural perception. In support of the brain imaging results, the survey experiment indicated that women perceive an architectural setting and its visual elements in greater detail than men. In contrast, men rate three-dimensional perception and mental visualization significantly better and pay more attention to it than women.KEYWORDS: Neurosciencearchitectural stimulibrain areasbrain activationgenderperceptionfMRI AcknowledgmentI would like to express my undying gratitude to all the volunteer participants who assisted me in this study.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":47295,"journal":{"name":"Architectural Science Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135689809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0