Indoor positioning based on a radiating cable system: a theoretical and experimental evaluation

2018 ◽  
Vol 73 (11-12) ◽  
pp. 777-786
Author(s):  
Jorge A. Seseña-Osorio ◽  
Alejandro Aragón-Zavala ◽  
Gerardo A. Castañon-Ávila
Author(s):  
Samih Ahmed ◽  
Guayente Minchot ◽  
Anders Eriksson ◽  
Fritz King ◽  
Mikael Hällgren

<p>Cable systems have numerous advantages, such as: large column-free areas, and reduced materials consumption, which reduces the load and the cost. Nevertheless, they are rarely used in long span roofs due to large deflections, and the insufficient space for end supports, or/and back-stayed cables. This work suggests the use of post-tension stress ribbon system in long span roofs in order to reduce the pull-out forces, deflections and concrete stresses compared to a conventional cable system. A comparison is carried out through meticulous and accurate finite element simulations, using SAP2000, implemented for the new +200m roof of Västerås Travel Center (Sweden), which will become one of the longest cable suspended roofs in the world, if not the longest. Results confirm the suitability and superiority of stress ribbon systems as it reduces concrete stresses, deflections, pull-out forces and vertical reactions. These reductions are found highly correlated to the applied prestressing forces.</p>


Author(s):  
Jorge A Seseña-Osorio ◽  
Ignacio E Zaldívar-Huerta ◽  
Alejandro Aragón-Zavala ◽  
Gerardo A Castañón-Ávila

2019 ◽  
Vol 8 (11) ◽  
pp. 468
Author(s):  
Yu ◽  
Hu ◽  
Wang

The uncertainty of indoor Wi-Fi positioning is susceptible to many factors, such as sensor distribution, the internal environment (e.g., of a shopping mall), differences between receivers, and the flow of people. In this paper, an indoor pedestrian trajectory pattern mining approach for the assessment of the error and accuracy of indoor Wi-Fi positioning is proposed. First, the stay points of the customer were extracted from the pedestrian trajectories based on the spatiotemporal staying patterns of the customers in a shopping mall. Second, the drift points were distinguished from the stay points through analysis of noncustomer behavior patterns. Finally, the drift points were presented to calculate the errors in the pedestrian trajectories for the accuracy assessment of the indoor Wi-Fi positioning system. A one-month indoor pedestrian trajectories dataset from the Xinxiang Baolong shopping mall in Henan Province, China, was used for the assessment of the error and accuracy values with the proposed approach. The experimental results were verified by incorporating the distribution of the AP sensors. The proposed approach using big data pattern mining can explore the error distribution of indoor positioning systems, which can provide strong support for improving indoor positioning accuracy in the future.


2019 ◽  
Vol 110 (4) ◽  
pp. 2131-2147
Author(s):  
Alejandro Aragón-Zavala ◽  
Jorge Alberto Seseña-Osorio ◽  
Gerardo Castañón

2011 ◽  
Vol 243-249 ◽  
pp. 1186-1189
Author(s):  
Xiang Hai Huang ◽  
Hong Gao ◽  
Xiao Jun Zhu ◽  
Shu Ting Liang ◽  
Shi Lin Jiang

The design of the glass skylight of the courtyard in an office building is introduced in the paper. One-way stability of the cross bar in the cable system is analyzed. The support system designed by the new style, reasonable force, to meet the requirements of normal use, the surrounding concrete support structures of smaller, saving construction costs, so that the top economic and practical lighting. By Midas-based stress analysis software, the cross-bar system, a number of capacity factor and to strengthen measures were discussed, which can be a useful reference for similar projects.


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