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A field experiment has been carried out to find optimum thermal comfort zone with elementary school children aged 12 yr for seven days during the summer and winter of 1984-1985 in Seoul. Total of 76 children were asked to record their feelings-thermal sensation, humidity sensation and freshness-3 times a day. Thermal Comfort Meters were also used to measure Comfort Temperature and Predicted Percentage of Dissatisfied.
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Emerging evidence indorse shifts in food production, reduction in yield due to climate variability and change. An increase in food production is a requirement to respond to the demands of the growing population worldwide. As many studies focus on underutilised and/or neglected crops. The questions are, underutilised by who? Or neglected by who? These are the indigenous ancient crop species utilised from generations to generations, which are used by most in rural areas mostly across all...
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Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to minimize the energy consumption of equipment while maintaining the thermal comfort of occupants. Traditional rule-based control methods are not optimized for HVAC systems with continuous sensor readings and actuator controls. Recent developments in deep reinforcement learning (DRL) enabled control of HVACs with continuous sensor inputs and actions, while eliminating the need of building complex thermodynamic...
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Optimal control of heating, ventilation and air conditioning systems (HVACs) aims to minimize the energy consumption of equipment while maintaining the thermal comfort of occupants. Traditional rule-based control methods are not optimized for HVAC systems with continuous sensor readings and actuator controls. Recent developments in deep reinforcement learning (DRL) enabled control of HVACs with continuous sensor inputs and actions, while eliminating the need of building complex thermodynamic...
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This study aimed to enhance the in-depth understanding of the contextual dimensions that shape the relationships between climate change communication approach and youth well-being. The study focused on university students who constitute the key stakeholders and future decision-makers and leaders for managing the long-term climate risks.A total of 10 focus group interviews were conducted with 117 undergraduate and graduate South African university students from over 12 universities located in...
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This doctoral study investigates the different forms, levels, and pathways of youth engagement with climate change and the implications for the well-being of youth in different contexts of vulnerability and adaptability. It aims to understand such engagement through the accounts and interactions of youth themselves and within their own environmental, socio-cultural, and political context, thereby contributing a holistic understanding of youth engagement in specific countries, an area...
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This study assessed the provision of informal training offered by the Limpopo Department of Agriculture, South Africa, to agricultural extension officers (AEOs). The study used surveyed 90 public extension officers purposively sampled. There were statistically significant differences in extension officers’ exposure to climate change between their education levels and in the provision of climate change training between extension officers’ work experience ( P⩽0.05). The study concluded that...
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Computational intelligence algorithm (CIA) has been widely applied in HVAC fields and several papers have reviewed about those researches and applications. However, their application study in GSHP system are still required to be further enriched. Since the structure of GSHP system is more complex than that of conventional HVAC system, whose operation has obvious nonlinear and dynamic characteristics. CIAs such as artificial neural network (ANN), adaptive network-based fuzzy inference system...
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To meet the thermal comfort requirements of room occupants, a fast and accurate method for predicting indoor high-resolution 3D airflow distribution is necessary, which can be combined with heating, ventilation, and air conditioning (HVAC) systems to adjust the indoor environment. Artificial neural networks (ANN) can establish complex mappings between variables with nonlinear relationships. The aim of this study was to verify the feasibility of an ANN for the fast and accurate prediction of...
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With increasing energy consumption, how to achieve the energy-saving operation of air-conditioning systems is crucial for improving the energy efficiency of buildings. The accurate and reliable energy consumption prediction of air-conditioning systems can be useful for optimizing the energy supply and equipment operation strategies. However, most existing studies focus on the prediction of the long-term energy consumption of air-conditioning systems, which usually exceeds the individual...
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Collaborative knowledge building has been widely used in virtual learning communities as a result of it's emerging,but lacking of specific framework.This paper based on the basic process of collaborative building,which is combined with the example of theGlobal Climate Changebetween China and Canada,attempts to explore the basic framework for the design of collaborative knowledge building activity in virtual learning.
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Collaborative knowledge building has been widely used in virtual learning communities as a result of it's emerging,but lacking of specific framework.This paper based on the basic process of collaborative building,which is combined with the example of theGlobal Climate Changebetween China and Canada,attempts to explore the basic framework for the design of collaborative knowledge building activity in virtual learning.
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