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Heating Ventilation and Air Conditioning (HVAC) systems are designed to provide a comfortable indoor thermal environment for the occupants. Conventionally, Predicted Mean Vote (PMV) model is used to represent thermal comfort which is only an average model and it cannot reflect the individual differences in thermal sensation. This paper proposes a personalized thermal comfort model based on a machine...
With the development of Android system and intelligent mobile technology, Android applications have been widely used in recent years. However, the trust on these applications may be used by attackers who design malware to achieve illegal income. Therefore, to evaluate the security risk of applications is necessary. In this paper, an evaluation approach based on association statistics of application...
In this paper we apply Machine Learning (ML) techniques on static features that are extracted from Android's application files for the classification of the files. Features are extracted from Android's Java byte-code (i.e.,.dex files) and other file types such as XML-files. Our evaluation focused on classifying two types of Android applications: tools and games. Successful differentiation between...
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