In artificial intelligence (AI), computer vision consists of intelligent models to interpret and recognize the visual world, similar to human vision. This technology relies on a synergy of extensive data and human expertise, meticulously structured to yield accurate results. Tackling the intricate task of locating and resolving blockages within sewer systems is a significant challenge due to their ...

The authors compare the energy consumption and CO₂ emissions from vehicles using internal combustion engines (ICE), battery electric vehicles (BEV), fuel cell electric vehicles (FCEV), and two types of hybrid vehicles, BEV‐ICE hybrid and BEV‐FCEV hybrid. This paper considers several scenarios for four countries’ electricity production from primary energy sources to estimate total ...

This paper presents a distributed algorithm for identifying the ownership of new-born reindeer calves using wireless sensor networks (WSNs). Reindeer are semi wild animals giving birth while in the wild. Although reindeer cows usually carry identification tags or signs of their owners, it is difficult to identify the ownership of the calves within a mixed herd. Currently, identification is performed ...

This research investigates a solar thermal system and a solar photovoltaic system which produces local energy, by incoming solar radiation, to meet the energy consumption demand of a residential building in the arctic region. The study on the use of the solar systems in the arctic areas is rare and often doubted. So, to analyze the potential of solar energy, a study case of an existing building block ...

Heat engines, such as internal combustion engines, have significant adverse effects on the environment due to their heat and harmful emissions. In addition, they are dependent on energy from fossil resources, which are depleting rapidly and they are not being properly utilized due to the relatively low efficiency of heat engines usually expressed by Carnot's efficiency. The low temperature direct ...

Renewable energy technologies are becoming widely integrated into energy generation systems around the world. While the majority of such technologies are integrated at a large scale in the form of wind and solar farms, there is a need for their incorporation into the built environment. A university campus is an ideal place for testing and understanding how renewable energy technologies can be ...

Physical experiments have difficulties to thoroughly investigate the full structure of air flow behind a porous fence. Physical measurement sensors have their limitations of data acquisitions in turbulent air flow. Computational Fluid Dynamics (CFD) technique provides an infinite number of virtual sensors that allows producing quantitative CFD based virtual sensors data for users. In this paper, ...

A design study of an atmospheric icing sensor is presented in this article. The proposed design of the sensor is aimed to detect an atmospheric icing event, to determine ice type as well as to measure icing load, icing rate and melting rate. This sensor is constantly slowly rotating cylinder with four fins which measure atmospheric icing load and icing rate using rotational load measurement technique. ...

This paper presents a numerical prediction on the assessment of natural ventilation on a livestock house built in porous panels, aided by Computational Fluid Dynamics techniques. A typical climatic environment in Cold Regions was taken into consideration. The ventilation performances have been assessed by the distribution of indoor air velocity, turbulence intensity and local mean age of air through ...

This paper presents a technique for identifying the ownership of new-born reindeer claves using wireless sensor networks (WSNs), which is an important tool that can be used to acquire useful information about animals’ activities and movements. Reindeer are semi wild and they give birth while in the wild. Although reindeer cows usually carry identification tags or signs of their owners, it is ...