Real-Time Intelligent Thermal Comfort Prediction Model
نویسندگان
چکیده
منابع مشابه
Model-adaptive Analysis of Indoor Thermal Comfort
We address the model-adaptive coupling between computational codes for indoor thermal comfort analysis considering different levels of detail in space and time. Starting with a whole-year simulation, significant periods are interactively identified in terms of a coarse thermal comfort analysis. After refining these critical intervals with respect to the spatial resolution, a multi-segment manik...
متن کاملintelligent real time prediction of moisture content using artificial neural network in pistachio thin layer drying
0
متن کاملIntelligent Real-Time Monitoring
This paper describes a multi-tasking architecture for performing real-time monitoring and analysis using knowledge-based problem solving techniques. To handle asynchronous inputs and perform in real-time, the system consists of three or more distributed processes which run concurrently and communicate via a message passing scheme. The Data Management Process acquires, compresses, and routes the...
متن کاملThermal comfort assessment in comfort-prone workplaces.
This paper's main issue is a strong advocacy in favour of an a priori classification of thermal environments that can be really functional to comfort assessment: Class 1, environments where comfort conditions can be established (comfort-prone environments), and Class 2, environments where this is not practically feasible. The former, which are also identified here as 'thermally unconstrained' e...
متن کاملThermal comfort: multisensory interactions?
Experimentally, the effects of environmental conditions upon human capabilities have been studied most often through the imposition of a single stressor in isolation. Although it seems to be a common belief that thermal comfort can be influenced by concomitant stimulation of non-tactile sensorial modalities, few studies have succeeded in delineating non-tactile stimulations, which interact with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2021
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2021.0120331