scholarly journals Long-Term Monitoring of Crack Patterns in Historic Structures Using UAVs and Planar Markers: A Preliminary Study

2018 ◽  
Vol 4 (8) ◽  
pp. 99 ◽  
Author(s):  
Danila Germanese ◽  
Giuseppe Leone ◽  
Davide Moroni ◽  
Maria Pascali ◽  
Marco Tampucci

This paper describes how Unmanned Aerial Vehicles (UAVs) may support the long-term monitoring of crack patterns in the context of architectural heritage preservation. In detail, this work includes: (i) a state of the art about the most used techniques in ancient structural monitoring; (ii) the description of the implemented methods, taking into account the requirements and constraints of the case study; (iii) the results of the experimentation carried out in the lab; and (iv) conclusions and future works.

Author(s):  
Gabor von Bethlenfalvy ◽  
Julia Hindersin ◽  
Egbert Strauß

The case study used spotlight strip census routes to estimate Brown Hare numbers in a 793 ha hunting district. The habitats, dominated by intensively farmed arable land were also mapped. This is part of a Germany-wide long-term monitoring program of game populations which is carried out by hunters and was initiated by the German Hunters’ Association and the Hunters’ Association of Lower Saxony in 2001.


2012 ◽  
Author(s):  
Sylvia Stegmann ◽  
Nabil Sultan ◽  
Sebastien Garziglia ◽  
Pascal Pelleau ◽  
Ronan Apprioual ◽  
...  

2018 ◽  
Vol 4 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Rupendra Singh ◽  
Ram Chandra ◽  
Anjani K. Tangri ◽  
Rajesh Kumar ◽  
I.M. Bahuguna ◽  
...  

Author(s):  
Hyunjun Yun ◽  
Jinho Yang ◽  
Byong Hyoek Lee ◽  
Jongcheol Kim ◽  
Jong-Ryeul Sohn

IoT-based monitoring devices can transmit real-time and long-term thermal environment data, enabling innovative conversion for the evaluation and management of the indoor thermal environment. However, long-term indoor thermal measurements using IoT-based devices to investigate health effects have rarely been conducted. Using apartments in Seoul as a case study, we conducted long-term monitoring of thermal environmental using IoT-based real-time wireless sensors. We measured the temperature, relative humidity (RH), and CO2 in the kitchen, living room, and bedrooms of each household over one year. In addition, in one of the houses, velocity and globe temperatures were measured for multiple summer and autumn seasons. Results of our present study indicated that outdoor temperature is an important influencing factor of indoor thermal environment and indoor RH is a good indicator of residents’ lifestyle. Our findings highlighted the need for temperature management in summer, RH management in winter, and kitchen thermal environment management during summer and tropical nights. This study suggested that IoT devices are a potential approach for evaluating personal exposure to indoor thermal environmental risks. In addition, long-term monitoring and analysis is an efficient approach for analyzing complex indoor thermal environments and is a viable method for application in healthcare.


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