energy consumption in the residential sector is a complex socio-technical problem that can be explained using acombination of physical, demographic and behavioural characteristics of a house and its occupants. in this paper, byusing the energy consumption data for the residential sector of shiraz in iran, the effect of built area (ba) andoccupant number (occ) on annual energy consumption (ec) w...

Energy consumption in the residential sector is a complex socio-technical problem that can be explained using acombination of physical, demographic and behavioural characteristics of a house and its occupants. In this paper, byusing the energy consumption data for the residential sector of Shiraz in Iran, the effect of built area (BA) andoccupant number (Occ) on annual energy consumption (Ec) w...

Traditional ventilation and air conditioning systems typically operate on a predetermined schedule with fixed operating parameters. Occupant-centric control (OCC) strategies have been proposed to reduce system operation energy consumption without sacrificing thermal comfort. Indoor occupancy detection in real time is critical step successfully implementing the OCC strategy. Thus, deep learning-...

Occupant-centric control (OCC) strategies represent a novel approach for indoor climate in which occupancy patterns and occupant preferences are embedded within sequences. They aim to improve comfort energy efficiency by learning predicting behaviour (OB), then optimizing building operations accordingly. Previous studies estimate that OCC can increase savings up 60% while improving comfort. How...

As technological advances are made in software and hardware, the feasibility of accessing information "any time, anywhere" is becoming a reality. In a mobile computing environment, a potentially large number of mobile and fixed users may simultaneously access shared data; . In this paper, we have addressed the problem and devised an effective OCC protocol with deferred adjustment of serializati...

the purpose of this research is to found the impact of built area and occupant number on winter gas consumption in the residential building sector of iran, shiraz.sothe annually and monthly gas consumption data through 19 houses were analyzed to achieve the heating energy consumption and operation month.the average operation months of gas heating consumption were from first of november up to en...

The OCC (Ortony, Clore, & Collins, 1988) model has established itself as the standard model for emotion synthesis. A large number of studies employed the OCC model to generate emotions for their embodied characters. Many developers of such characters believe that the OCC model will be all they ever need to equip their character with emotions. This paper points out what the OCC model is able to ...

Emotions play a central role in most forms of natural human interaction so we may expect that computational methods for the processing and expression of emotions will play a growing role in human-computer interaction. The OCC model has established itself as the standard model for emotion synthesis. A large number of studies employed the OCC model to generate emotions for their embodied characte...

The purpose of this research is to found the impact of built area and occupant number on winter gas consumption in the residential building sector of Iran, Shiraz.Sothe annually and monthly gas consumption data through 19 houses were analyzed to achieve the heating energy consumption and operation month.The average operation months of gas heating consumption were from first of November up to en...

In this paper we describe compressed indexes that support pattern matching queries for strings with wildcards. For a constant size alphabet our data structure uses O(n log n) bits for any ε > 0 and reports all occ occurrences of a wildcard string in O(m + σ · μ(n) + occ) time, where μ(n) = o(log log logn), σ is the alphabet size, m is the number of alphabet symbols and g is the number of wildca...