Application of intelligence in solving architectural problems in the field of housing

Alireza Keyanfar, Liyana Meh, Reihaneh Rabbani
{"title":"Application of intelligence in solving architectural problems in the field of housing","authors":"Alireza Keyanfar, Liyana Meh, Reihaneh Rabbani","doi":"10.1109/CONECCT55679.2022.9865713","DOIUrl":null,"url":null,"abstract":"Housing is not a static artifact and contributes to the physical and psychological state of the residents. The impact of the housing effect depends on the residents' quality of life and satisfaction. A review of housing journals indicates that optimal housing is not accessible for most low-income households due to the lack of financial support for tenants due to the landlords' absolute power, dwellers with physical or mental disabilities, and elderlies. Therefore, preferably, they look for a home that is as satisfying as possible. If unavoidable, a housing relocation might bring the housing situation more in line with their preferences. This paper proposes ways to obtain adaptive housing responsive to users' preferences using intelligent technologies to optimize the residents' quality of life. The work shows that implementing sensors for managing a healthy environment, smart carpet as an interface between the environment and the ventilation system, facial emotion recognition, intelligent weather detection, smart curtains, mobile apps, and adjusting interior lighting and color-changing may be valuable to offer a comfortable, user-friendly home environment and facilitates the house choosing for the user by considering their personalities and behavior patterns.","PeriodicalId":380005,"journal":{"name":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONECCT55679.2022.9865713","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Housing is not a static artifact and contributes to the physical and psychological state of the residents. The impact of the housing effect depends on the residents' quality of life and satisfaction. A review of housing journals indicates that optimal housing is not accessible for most low-income households due to the lack of financial support for tenants due to the landlords' absolute power, dwellers with physical or mental disabilities, and elderlies. Therefore, preferably, they look for a home that is as satisfying as possible. If unavoidable, a housing relocation might bring the housing situation more in line with their preferences. This paper proposes ways to obtain adaptive housing responsive to users' preferences using intelligent technologies to optimize the residents' quality of life. The work shows that implementing sensors for managing a healthy environment, smart carpet as an interface between the environment and the ventilation system, facial emotion recognition, intelligent weather detection, smart curtains, mobile apps, and adjusting interior lighting and color-changing may be valuable to offer a comfortable, user-friendly home environment and facilitates the house choosing for the user by considering their personalities and behavior patterns.
智能在解决住宅领域建筑问题中的应用
住房不是一个静态的人工制品,它有助于居民的身体和心理状态。住房效应的影响取决于居民的生活质量和满意度。对住房期刊的回顾表明,由于房东的绝对权力、身体或精神残疾的居民以及老年人对租户缺乏经济支持,大多数低收入家庭无法获得最佳住房。因此,他们最好是寻找一个尽可能令人满意的家。如果无法避免,住房搬迁可能会使住房情况更符合他们的偏好。本文提出了利用智能技术获得响应用户偏好的适应性住房的方法,以优化居民的生活质量。这项工作表明,实施传感器来管理健康的环境,智能地毯作为环境和通风系统之间的接口,面部情绪识别,智能天气检测,智能窗帘,移动应用程序,以及调节室内照明和颜色变化可能有价值,可以提供一个舒适,用户友好的家庭环境,并通过考虑用户的个性和行为模式来促进房屋选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信