Collaborative building control: a conceptual mixed-initiative framework

In the last two decades, automation systems have shown advanced developments and are widely adopted for various purposes in many fields. However, automation in buildings has not gained popularity and has a low acceptance level amongst the occupants. Decreased perceived control, ever-changing dynamic human needs, and standardized, one-size-fits-all approach in current automation systems lead to disharmony in human-machine coexistence. Although well-established continuous interaction between building control systems and occupants is acknowledged as one of the core elements of intelligent buildings, defined borderlines of the prevailing automation modalities fail to satisfy this primary feature. This research proposes a conceptual mixed-initiative building control framework enhancing collaboration and communication between building occupants and the automation. Through benefiting from both the control capacity of computer-powered methods and flexibility granted by incorporating occupants in the loop, demonstrated framework components may enact concurrent assessment of occupant comfort and energy efficiency while making automated applications more favorable for building inhabitants.
Intelligent Buildings International


Biological data integration and relation prediction by matrix factorization
Abay, Gökçe; Acar, Aybar Can; Department of Bioinformatics (2020)
The available molecular sequence data has increased greatly in the last decades, thanks to the new technological developments in the field of life-sciences. In order for this data to be useful to the scientific community, it should be characterized. Traditionally, this characterization is done manually, where the experimentally produced molecular data is curated and stored in the biological databases. The huge volume of the currently available data summons the need for the automatic and systematic analysis....
Incremental transformation of spatial intelligence from smart systems to sensorial infrastructures
Erişen, Serdar (Informa UK Limited, 2020-01-01)
In addition to the scalability of new computation technologies considering their potentials and limitations, recent applications of embedded computation ensure its possible uses in the scope of urban computing and policymaking strategies. This study examines methods of crowdsourcing with the aim of incremental transformation of the built environment through the experimental exploration of the traditional infrastructure of the Spice Bazaar in Istanbul using a bottom-up research approach. Thus, this study can...
Wireless networking in tunnelling projects
Nielsen, Yasemin; Koseoglu, Ozan (Elsevier BV, 2007-05-01)
Emerging collaborative technologies and working methods often require tremendous engineering and organisational efforts for successful implementation of information and communication technologies (ICTs). According to a research conducted in Turkish construction industry, most of the problems that occur during the construction phase are due to lack of co-operation and communication between designers and contractors and lack of prompt expert decisions during on-site engineering. Similar to any major construct...
Optimum design of multistep spur gearbox
Öztürk, Fatih Mehmet; Department of Mechanical Engineering (2005)
Optimum design of multistep gearbox, since many high-performance power transmission applications (e.g., automotive, space industry) require compact volume, has become an important interest area. This design application includes more complicated problems that are not taken into account while designing single stage gear drives. Design applications are generally made by trial and error methods depending on the experience and the intuition of the designer. In this study, using Visual Basic 6.0, an interactive p...
Learning with infinitely many kernels via semi-infinite programming
Oezoeguer-Akyuez, Suereyya; Weber, Gerhard Wilhelm (2008-05-23)
In recent years, learning methods are desirable because of their reliability and efficiency in real-world problems. We propose a novel method to find infinitely many kernel combinations for learning problems with the help of infinite and semi-infinite optimization regarding all elements in kernel space. This will provide to study variations of combinations of kernels when considering heterogeneous data in real-world applications. Looking at all infinitesimally fine convex combinations of the kernels from th...
Citation Formats
F. Topak and M. K. Pekeriçli, “Collaborative building control: a conceptual mixed-initiative framework,” Intelligent Buildings International, pp. 1–12, 2021, Accessed: 00, 2021. [Online]. Available: