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A Tibaut, S Pečnik, M Roženičnik Korošec, K Mihalič, I Zabreznik,

BIM-based parametric modeling of roads and infrastructure objects

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Full text: content.pdf (486,918 bytes) (available to registered users only)

Series: convr:2000 (browse)
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Carol Menassa and Feniosky Peña-Mora

An Option Based Model To Evaluate ADR Investments In Design And Construction Projects

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Full text: content.pdf (527,021 bytes) (available to registered users only)

Series: w78:2006 (browse)
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Gokce Ozcelik, Burcin Becerik-Gerber, Ali Ghahramani and Yuchao Wang

Can Immersive Virtual Environments Be Used for Understanding Occupant-System Interactions Under Thermal Stimuli?

Abstract: OccupantsÕ interactions with building systems, as well as occupant-related factors considerably influence a buildingÕs energy consumption. However, understanding occupant-system interactions related to thermal changes in built environments could be cumbersome due to the resources needed to create these environments or the resources needed for conducting controlled experiments in existing Physical Environments (PEs). One avenue is to use Immersive Virtual Environments (IVEs) where occupantsÕ interactions with the built environment are measured in the context of thermal stimuli. However, for validating the adequacy of using IVEs for understanding occupant interactions with building systems and/or elements, it is imperative to first investigate if IVEs are proper representations of PEs. In this study, we benchmark IVEs to the PEs with regards to user perceptions relating to thermal stimuli. In a human subject experiment, we use surveys and subjective thermal votes both in the IVE and PE, where participants experience both hot and cold indoor thermal conditions. Perceived thermal comfort and satisfaction votes are analysed by using paired t-tests and ANOVA. The change parameters are defined for identifying the direction of perceived thermal comfort and satisfaction. Statistical inferences show that change in occupantsÕ perceived thermal comfort and satisfaction in IVE and PE are not significantly different, and direction of the change is positive in majority of the cases (i.e., 100% of the participants were comfortable in PE, almost 95% of the participants were comfortable in IVE, 79 % were satisfied in PE, 74% were satisfied in IVE at the end of the experiment).

Keywords: Immersive Virtual Environment; Virtual Reality; Physical Environment; Thermal Perception; Building Systems; Occupant-Building Systems Interactions

DOI: https://doi.org/10.24928/JC3-2017/0022

Full text: content.pdf (1,200,926 bytes) (available to registered users only)

Series: jc3:2017 (browse)
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JeongWook Son and Feniosky Peña-Mora

Improvement Of Collaboration Among Civil Engineers And First Responders During Disaster In Urban Areas

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Full text: content.pdf (639,687 bytes) (available to registered users only)

Series: w78:2006 (browse)
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Pe?a-Mora F, Craig M

AVSAR: a collaboration system for disaster search and rescue operations using autonomous vehicles

Abstract: The disaster relief community is increasingly focused on issues of critical physical infrastructure in search and rescue operations. As the disaster relief and civil engineering community attempts to expand its abilities in this arena, it is being confronted with constraints related to manpower, risks to human personnel, and system stability. The community can address these barriers by integrating autonomous vehicles and intelligent software agents into its traditionally human elements. The military has been actively pursuing this goal in order to minimize human casualties and expand its functionality, and a technology transfer to the disaster arena would be greatly beneficial. The transition from the military to the disaster relief community is a logical step because of the great number of similarities between the two areas. Both are concerned with operations carried out in hostile, chaotic environments, where many participants from different areas of expertise collaborate to reach an objective, and both are constrained by the quality of intercommunication and the effectiveness of their equipment. Experience gained by the military in the field of autonomous vehicles has shown that while the ratio of autonomous vehicles to humans remains low, there is little trouble in directly controlling these vehicles as personnel can be dedicated to this task alone. However, as the number of autonomous vehicles increases to include personal human assistants and entire teams of vehicles, the task of control and collaboration becomes increasingly difficult. To date, most autonomous vehicle control work has been done with a one-to-one structure where one human controls one vehicle. While this works well when the vehicles are relatively simple and the number of vehicles is small, it does not translate well into the ideal situation of large populations of complex autonomous vehicles. Under these circumstances, intelligent software agents, residing both on the autonomous vehicles and on the communication devices, are needed to handle the task of distributed decision-making. This autonomous decision making ability is particularly critical for the cases where the autonomous vehicles fall out of contact with their human commanders or remote experts such as geotechnical, structural, and earthquake engineers. This paper examines past work done for and by the military in the area of autonomous vehicle systems and examines its application to the field of disaster relief involving critical physical infrastructures. It then presents a system that meets the needs of a combined human - intelligent software agent - autonomous vehicle SR (Search and Rescue) team, operating on critical physical infrastructure in an unstable and hostile environment. The collaboration infrastructure includes an information policy layer and a client application layer that address the need for inter-user communication and flexible command structures, which can be dynamically arranged to meet the situational need.

Keywords: collaborative environments, disaster relief, search and rescue, autonomous vehicles, intelligent software agents, self-organization, control structures, information policy

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Full text: content.pdf (1,079,294 bytes) (available to registered users only)

Series: itaec:2004 (browse)
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SangHyun Lee and Feniosky Peña-Mora

Visualization Of Construction Progress Monitoring

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SangHyun Lee and Feniosky Peña-Mora

Latency In Error And Change Management

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Sangwon Han, Feniosky Peña-Mora, SangHyun Lee, and Moonseo Park

A Hybrid Simulation Model For Integrated Strategic-Operational Management

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