Green Construction of National Speed Skating Oval

2021 ◽  
Author(s):  
Jiulin Li ◽  
Limin Chen ◽  
Hao Xu ◽  
Jianlin Wang
Keyword(s):  
Green Construction ◽  
Speed Skating

Barriers to the implementation of green construction: a case study in Bandung, Indonesia

2018 ◽  
Vol 10 (8) ◽  
Author(s):  
Adrian Firdaus ◽  
◽  
Theresita Herni Setiawan ◽  
Joshua Ivan Reynaldy ◽  
◽  
...  
Keyword(s):  
Green Construction

Understanding Green Construction Drivers for Incentive Structuring in the Developing Country

2018 ◽  
Author(s):  
Van Basten ◽  
Igor Crévits ◽  
Yusuf Latief ◽  
Mohammed Ali Berawi
Keyword(s):  
Developing Country ◽  
Green Construction

Zero Energy Building – A New Era of Green Construction

2020 ◽  
Author(s):  
Kaustav Das ◽  
Subhojit Chattaraj ◽  
Akash Roy ◽  
Moutoshi Das ◽  
Remon Roy ◽  
...  
Keyword(s):  
Zero Energy ◽  
New Era ◽  
Green Construction ◽  
Zero Energy Building

Identifying the critical factors for green construction – An empirical study in China

2013 ◽  
Vol 40 ◽  
pp. 1-8 ◽  
Author(s):  
Qian Shi ◽  
Jian Zuo ◽  
Rui Huang ◽  
Jing Huang ◽  
Stephen Pullen
Keyword(s):  
Empirical Study ◽  
Critical Factors ◽  
Green Construction

scholarly journals Detection of Movement Events of Long-Track Speed Skating Using Wearable Inertial Sensors

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3649
Author(s):  
Yosuke Tomita ◽  
Tomoki Iizuka ◽  
Koichi Irisawa ◽  
Shigeyuki Imura
Keyword(s):  
Gold Standard ◽  
Detection Method ◽  
Standard Measure ◽  
Detection Methods ◽  
Phase Identification ◽  
Foot Pressure ◽  
Pressure System ◽  
Speed Skating ◽  
Stance Time ◽  
Integrated Detection

Inertial measurement units (IMUs) have been used increasingly to characterize long-track speed skating. We aimed to estimate the accuracy of IMUs for use in phase identification of long-track speed skating. Twelve healthy competitive athletes on a university long-track speed skating team participated in this study. Foot pressure, acceleration and knee joint angle were recorded during a 1000-m speed skating trial using the foot pressure system and IMUs. The foot contact and foot-off timing were identified using three methods (kinetic, acceleration and integrated detection) and the stance time was also calculated. Kinetic detection was used as the gold standard measure. Repeated analysis of variance, intra-class coefficients (ICCs) and Bland-Altman plots were used to estimate the extent of agreement between the detection methods. The stance time computed using the acceleration and integrated detection methods did not differ by more than 3.6% from the gold standard measure. The ICCs ranged between 0.657 and 0.927 for the acceleration detection method and 0.700 and 0.948 for the integrated detection method. The limits of agreement were between 90.1% and 96.1% for the average stance time. Phase identification using acceleration and integrated detection methods is valid for evaluating the kinematic characteristics during long-track speed skating.

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