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Due to the large inventory and high energy consumption of existing buildings, in order to explore the method of transforming existing buildings into zero carbon buildings to achieve low energy efficiency operation, a university building from the 1980s was ...

Vegetated terraces are becoming increasingly widespread, given their benefits in terms of regulating the building's climate and the speed of rainwater run-off. The first step in this research was to select plantations that can withstand the ...

Energy is one of the most important topics in the modern world, as it affects various aspects of human life and the environment. The current transition era and the growing demand for energy require innovative solutions to optimize energy use and reduce ...

Data driven deep learning methods have become the mainstream method of building extraction from remote sensing images. In this paper, deep learning algorithm is used to classify and extract buildings from remote sensing images of rural areas around the ...

Entity matching is one of the key technologies for geospatial data update and fusion. In response to the shortcomings of most spatial entity matching methods that use local optimisation strategies, a global optimisation matching method for multi-...

Internet of Things (IoT) represents an important area that is evolving rapidly in the context of digitalization efforts related to the Construction 4.0 era. This paper deals with the Internet of Things applications within the construction industry ...

Indoor user thermal comfort mainly depends upon air temperature, humidity, and wall temperature. Commonly used proportional-integral-derivative (PID) controllers use air temperature alone as feedback to control building Heating, Ventilation, and Air-...

In the building context, there is a growing requirement for numerous data models and ontologies to coexist as a means to cover different perspectives and communities. While there are some well-known efforts, such as the Brick schema, to create an overall ...

In the intelligent construction environment, PC project improves the work efficiency, but the cost control is difficult. This paper will analyze the cost of PC engineering, trying to find out the key points and difficulties of cost control based ...

This paper takes a first look at the potential consequences of cyberattacks against structural control systems. We design algorithms and implement them in a testbed and on well-known benchmark models for buildings and bridges. Our results show that ...

Urban Mobility Models (UMMs) are fundamental tools for estimating the population in urban sites and their spatial movements over time. Most existing UMMs were developed primarily in 2D. However, we argue that people’s movements and living patterns ...

In order to reduce engineering cost and improve engineering quality and to realise risk cost forecast for intelligent building engineering cost. A novel risk assessment model for intelligent building engineering cost based on Markov model and adaptive ...

Occupancy sensors are an integral part of many smart building applications, including energy and space optimizations. However, as more occupancy data is collected at an increasingly fine-grained level, possibilities of potential privacy breaches also ...

Low-cost sensors are being installed in smart buildings to gather large amounts of sensor data on building operation and occupant comfort. These sensor data enables the development of data-driven applications and the analysis of building use. Many of ...

In order to solve the problem of unsatisfactory monitoring information transmission and large time overhead during conventional building fire monitoring, an optimisation method of building fire information monitoring based on adaptive clustering ...

Urban Mobility Models (UMMs) are fundamental tools for estimating the population in urban sites and their spatial movements over time. They have great value for such applications as managing the resources of cellular networks, predicting traffic ...

We propose a framework for global registration of building scans. The first contribution of our work is to detect and use portals (e.g., doors and windows) to improve the local registration between two scans. Our second contribution is an optimization ...

Due to limitations in geometric representation and semantic description, the current pedestrian route analysis models are inadequate. To express the geometry of geographic entities in a micro-spatial environment accurately, the concept of a grid is ...

Building analytics can produce substantial energy savings in commercial buildings by automatically detecting wasteful or incorrect operations. However, a new building's sensing and control points need to be mapped to the inputs of an analytics engine ...

Buildings are responsible for more than 40% of US primary energy consumption. Of that, nearly 50% goes to heating, ventilation and air-conditioning (HVAC) systems. Savings made in HVAC systems therefore have a major impact in energy consumption and are ...