Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Dongyoun Shin"'
Publikováno v:
Journal of Civil Engineering and Management, Vol 29, Iss 5 (2023)
The precast concrete (PC) method involves manufacturing reinforced concrete building components in a factory that are then transported to and assembled on a construction site. Compared to conventional methods, PC is widely employed as an advantageous
Externí odkaz:
https://doaj.org/article/3589ae78e2464b34b2d1baac3dd49af9
Autor:
Sol-Beem Kim, DongYoun Shin
Publikováno v:
Journal of the Korean Housing Association. 30:43-51
Autor:
Dongyoun Shin, Yu-Mi Song
Publikováno v:
Journal of KIBIM. 7:28-35
Autor:
Dongyoun Shin
Publikováno v:
International Journal of Urban and Regional Research. 40:1044-1060
The research on which this essay is based sought to provide a deeper understanding of live urban activities. The main idea was to obtain in-depth trip information by integrating sensing technology with crowdsourcing-based methods. Location and accele
Publikováno v:
Journal of KIBIM. 6:19-28
The Intelligent transportation system is essential to build smarter cities. Machine learning based transportation prediction could be highly promising approach by delivering invisible aspect visible. In this context, this research aims to make a prot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32c89e2f40937d30184c460080b7fca0
Autor:
Daniel G. Aliaga, Dongyoun Shin, Bige Tunçer, Gerhard Schmitt, Stefan Müller Arisona, Sung Ah Kim, Dani Zünd
Publikováno v:
Computers, Environment and Urban Systems. 53:76-86
We present a prototype mobile phone application that implements a novel transportation mode detection algorithm. The application is designed to run in the background, and continuously collects data from built-in acceleration and network location sens
Autor:
Dongyoun Shin
Publikováno v:
China Studies. 63:337-351
Cities are complex systems of diverse and inter-tangled activities. These activities and their complex interrelationships create diverse urban phenomena. And such urban phenomena have considerable influences on the lives of citizens. This research ai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::344375e125cacbd01b2b3edd4b33ccb3
Current real-estate value estimation, difficult for laymen, usually is performed by specialists. This paper presents an automated estimation process based on big data and machine-learning technology that calculates influences of building conditions o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc74310172d83c99caf347848d5b27b8