1,635 research outputs found
Knowledge Transfer of Data Analytics & Machine Learning Applications:applied to a dashboard for Remote Building Services
Knowledge Transfer of Data Analytics & Machine Learning Applications:applied to a dashboard for Remote Building Services
Benefits and Challenges of Integrating IoT, VR & AR in the BIM-based Facility Management Process: Literature and Case-based Analysis
With the emerging technologies of the fourth industrial revolution (4th IR), there are more possibilities to enhance the facility management (FM). Despite the increasing tendencies to integrate new technologies in the process of FM, its potentials in enhancing the BIM-based FM decision making process is not yet totally explored and its application is facing many challenges that should be considered. This paper aims to explore the benefits and challenges of integrating the Internet of Things (IoT), Virtual Reality (VR) and Augmented Reality (AR) in the Facility Management (FM) process to enhance the decision making; and to conclude a framework for integrating of such technologies in the BIM-based FM Process. The paper adopted a descriptive methodology through a comprehensive literature and case-based review to achieve its objectives. The conclusion shows that integrating the IoT, VR & AR in the FM process and handling its related challenges from the early stages could greatly enhance and support the FM team and the FM related parties in making quick, accurate and effective decisions, saving energy & cost and optimizing the use of resources
Benefits and Challenges of Integrating IoT, VR & AR in the BIM-based Facility Management Process: Literature and Case-based Analysis
With the emerging technologies of the fourth industrial revolution (4th IR), there are more possibilities to enhance the facility management (FM). Despite the increasing tendencies to integrate new technologies in the process of FM, its potentials in enhancing the BIM-based FM decision making process is not yet totally explored and its application is facing many challenges that should be considered. This paper aims to explore the benefits and challenges of integrating the Internet of Things (IoT), Virtual Reality (VR) and Augmented Reality (AR) in the Facility Management (FM) process to enhance the decision making; and to conclude a framework for integrating of such technologies in the BIM-based FM Process. The paper adopted a descriptive methodology through a comprehensive literature and case-based review to achieve its objectives. The conclusion shows that integrating the IoT, VR & AR in the FM process and handling its related challenges from the early stages could greatly enhance and support the FM team and the FM related parties in making quick, accurate and effective decisions, saving energy & cost and optimizing the use of resources
BIM & BEM for a Net Zero Energy house model Case Study: A Housing Unit in Riyadh, SA
Net Zero Energy Buildings (NZEB) are becoming more and more important with the global sustainability movements and energy crisis which increase the need to reduce carbon emissions and energy consumption. The development of Building Information Modelling (BIM) and Building Energy Modelling (BEM) techniques and applications increase its capabilities to support designers in their trials to cope with such movements during the design process and proved its benefits in the Architecture, Engineering and Construction (AEC) industry and used in multiple purposes efficiently. However, the status of the documented trials to achieve a NZE is in its modest situation. This represents a research gap and the intensive for this study that aim to invest the capabilities of BIM and BEM applications to reach a NZE house model in Riyadh, Saudi Arabia. The study adopted a descriptive and experimental approach to apply the NZE concepts on a house model using Revit, Green Building Studio and Insight applications. The reached model could reduce the normal yearly energy combined consumption by about 40% and proved that the building could produce more energy than it consumes
BIM & BEM for a Net Zero Energy house model Case Study: A Housing Unit in Riyadh, SA
Net Zero Energy Buildings (NZEB) are becoming more and more important with the global sustainability movements and energy crisis which increase the need to reduce carbon emissions and energy consumption. The development of Building Information Modelling (BIM) and Building Energy Modelling (BEM) techniques and applications increase its capabilities to support designers in their trials to cope with such movements during the design process and proved its benefits in the Architecture, Engineering and Construction (AEC) industry and used in multiple purposes efficiently. However, the status of the documented trials to achieve a NZE is in its modest situation. This represents a research gap and the intensive for this study that aim to invest the capabilities of BIM and BEM applications to reach a NZE house model in Riyadh, Saudi Arabia. The study adopted a descriptive and experimental approach to apply the NZE concepts on a house model using Revit, Green Building Studio and Insight applications. The reached model could reduce the normal yearly energy combined consumption by about 40% and proved that the building could produce more energy than it consumes
Seaweeds and its Applications: A Review
Kelp is one of the main living assets of the sea Despite their wide applications in food and feed businesses they have acquired significance as restorative sources due to their high mending antimicrobial and antioxidative properties As a rich wellspring of important compound parts ocean growth is utilized in different businesses like beauty care products Fuel water treatment and so on Being a plant of remarkable construction and biochemical arrangement ocean growth could be utilized profoundly for its multi-useful properties as food energy medication and beauty care products The dispersion properties and wide use of kelp are examined exhaustively in this pape
Comparison of pitch rate history effects on dynamic stall
Presented at the NASA/AFOSR/ARO Workshop on Physics of Forced Unsteady Separation April 17-19, 1990 NASA Ames Research Center, Moffett Field, CA 9403
Friedel’s Salt and Hydrotalcite – Layered Double Hydroxides and the Protection against Chloride Induced Corrosion
This paper discusses some aspects of corrosion protection that fly ash and GGBFS offer to steel reinforcement in concrete. It focuses on the formation of two types of Layered Double Hydroxides (LDH’s). These are Friedel’s salt and Hydrotalcite. While Friedel’s salt is known to form in fly ash blends, the authors support the evidence of hydrotalcite formation in GGBFS blends as a result of the magnesium content in the slag. The paper discusses the corrosion protection performance of GGBFS concrete and compares it to that of fly ash concrete. The paper shows the superior advantage of including GGBFS for corrosion protection. The authors explored the probable reasons for this significant advantage and relate it to the formation of hydrotalcite in GGBFS concretes
Detection of helicopters using neural nets
Artificial neural networks (ANNs), in combination with parametric spectral representation techniques, are applied for the detection of helicopter sound. Training of the ANN detectors was based on simulated helicopter sound from four helicopters and a variety of nonhelicopter sounds. Coding techniques based on linear prediction coefficients (LPCs) have been applied to obtain spectral estimates of the acoustic signals. Other forms of the LPC parameters such as reflection coefficients, cepstrum coefficients, and line spectral pairs (LSPs) have also been used as feature vectors for the training and testing of the ANN detectors. We have also investigated the use of wavelet transform for signal de-noising prior to feature extraction. The performance of various feature extraction techniques is evaluated in terms of their detection accurac
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