In the context of airborne infection control, it is critical that ventilation system able to extract contaminated exhaled air within shortest possible time. To minimize spread by occupants efficiently, a novel personalized (PV)–personalized exhaust (PE) has been developed, which aims as much from around infected person (IP). The PV–PE was studied experimentally for particular healthcare setting based on typical consultation room geometry and four different medical positions an IP healthy...

Flexibility has been touted as an important requirement for firms to survive and prosper in turbulent volatile economic environments. The aim of this research is investigate the relevance organizational flexibility management construction firms, because that are more flexible likely than less firms. More specifically, objectives define a model will allow contractors understand complex factors contribute flexibility; ascertain whether should be treated uni- or multidimensional construct;...

Abstract: Measurements are increasingly used to augment traditional assessments of structural state. deflections, rotations, and strain provide indications damages as well changes in the values parameters such Young's modulus. Finite‐element model‐updating methods have been developed 1990s for identifying state from measurements. Currently most aim determine stiffness coefficients that result measured responses. In present work, a model calibration method identifies causes behavior support...

System identification methodologies are useful for identifying characteristics of structural systems using measurement data. However, incorrect might be identified when many combinations system result in the same predicted responses at measured locations. The reliability is affected by a number factors that most previous work has overlooked. This paper presents methodology explicitly treats affect success identification. Rather than simply determining parametric values, this also involves...

Good prediction of the behavior wind around buildings improves designs for natural ventilation in warm climates. However modeling is complex, predictions are often inaccurate due to large uncertainties parameter values. The goal this work enhance using measurements through implementing a multiple-model system-identification approach. success approaches depends directly upon location and number sensors. Therefore, research proposes methodology optimal sensor configuration based on...

Warm climates pose challenges to building energy consumption and pedestrian comfort. Knowledge of the wind flow around buildings can help address these issues through improving natural ventilation, use, outdoor thermal Computational fluid dynamics (CFD) simulations are widely used predict buildings, despite large discrepancies that often occur between model predictions actual measurements. Wind speed direction exhibit a high degree variability adds uncertainties in modeling Although some...

Purpose The purpose of this paper is to develop a framework optimize time, cost and quality in multi-mode resource-constrained project scheduling environment. Design/methodology/approach A case study approach identified the activity execution modes building construction projects India support scheduling. data required compute each are compiled from real projects. binary integer-programming model has been developed perform multi-objective optimization identify Pareto optimal solutions....

Concrete 3D printing has the potential to reduce material and process waste in construction. Thus, it contributes making construction industry more sustainable through use of digital-fabrication technologies. While concrete is attractive due its realize complex designs, practical challenges include an increased chance defects deformities. Quality assessment 3D-printed elements essential for large-scale implementation. Workability known decrease with time impacts extrudability. It usually...

Cluster validity indices are used for both estimating the quality of a clustering algorithm and determining correct number clusters in data. Even though several exist literature, most them only relevant data sets

In healthcare centers, workers would not know if patients are infected or until the person is diagnosed and moved to an isolation room; therefore, effectiveness of ventilation systems in removing exhaled infectious air consultation room becomes important. To prevent transmission air, two types personalized exhaust devices were explored: top-personalized shoulder-personalized exhaust. Three different arrangements with 30 cases between 2 manikins studied experimentally using tracer gas. The...

System identification involves of a behavioral model that best explains the measured behavior structure. This research uses strategy generation and iterative filtering multiple candidate models for system identification. The task is supported by measurement-interpretation cycles. During each cycle, location subsequent measurement chosen using predictions current models. In this paper, data mining techniques are proposed to support such Candidate models, representing possible states...

This article investigates the performance of three different types personalized exhaust devices. A top-personalized exhaust, which is a round device just above human head; shoulder-personalized consists two local devices installed at chair shoulder level; and chair-personalized upper part behind head, were simulated, evaluated, compared numerically using computational fluid dynamics method. Two seated occupants representing healthy infected manikins equipped with ventilation in simulated...