@conference { ISI:000389590600130, title = {Towards a Context-aware Platform for Complex and. Stream Event Processing}, booktitle = {2016 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING \& SIMULATION (HPCS 2016)}, year = {2016}, note = {14th International Conference on High Performance Computing \& Simulation (HPCS), Innsbruck, AUSTRIA, JUL 18-22, 2016}, pages = {961-966}, publisher = {Assoc Comp Machinery; IEEE; Int Federation Informat Proc; ACM SIGACT; ACM SIGAPP; ACM SIGARCH; ACM SIGMICRO; ACM SIGMOD; ACM SIGSIM; IEEE Austria Sect; IEEE Dayton Sect; Altair PBS Works; E4 Comp Engn; European Grid Infrastructure; HUAWEI Technologies Co }, organization = {Assoc Comp Machinery; IEEE; Int Federation Informat Proc; ACM SIGACT; ACM SIGAPP; ACM SIGARCH; ACM SIGMICRO; ACM SIGMOD; ACM SIGSIM; IEEE Austria Sect; IEEE Dayton Sect; Altair PBS Works; E4 Comp Engn; European Grid Infrastructure; HUAWEI Technologies Co }, abstract = {With rapid expansion of wireless ad hoc networks and their interactions with wired networks together with the use of location-based services and the deployment of mobile and wearable sensor devices, it is now possible to develop context aware applications such as those in healthcare and transportation. These applications could react to the environment changes and users{\textquoteright} preference with the main aim is to make their life more comfortable according to their locations, current time and situations. However, handling context changes according to current data and events is a difficult task without supporting tools. Therefore, a platform that includes real-time event/data acquisition and processing is required. In this paper, we first survey existing work related to event processing and big data technologies by highlighting current challenges related to real-time data processing. We then introduce a context-aware platform that merges different technologies such as service oriented architecture, complex-event processing (CEP) tools, and big data technologies. A sample context-aware application for energy efficient buildings control is presented to highlight the different components of the platform and their interactions.}, isbn = {978-1-5090-2088-1}, author = {Lachhab, Fadwa and Essaaidi, Mohammed and Bakhouya, Mohamed and Ouladsine, Radouane}, editor = {Smari, WW} } @conference { ISI:000382162300064, title = {A State-Feedback Approach for Controlling Ventilation Systems in Energy Efficient Buildings}, booktitle = {PROCEEDINGS OF 2015 3RD IEEE INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC{\textquoteright}15)}, year = {2015}, note = {3rd IEEE International Renewable and Sustainable Energy Conference (IRSEC), Marrakech, MOROCCO, DEC 10-13, 2015}, pages = {665-670}, publisher = {IEEE}, organization = {IEEE}, abstract = {On the fast actual demographic trend and increasing comfort level, consumers are becoming more and more demanding in the areas of heating, cooling, ventilation, air conditioning, and lighting. Heating, Ventilating and Air Conditioning (HVAC) is one of most studied systems in energy efficient buildings within the aim to keep occupants{\textquoteright} comfort with desired temperature ranges, a suitable level of humidity, and good air quality. Recent studies showed that using information and communication technologies will have a significant impact on improving energy efficiency in real buildings. The main aim of these studies is to develop energy control approaches to improve energy performance and occupant comfort in buildings. In this paper, a CO2-based strategy using a state feedback technique for controlling mechanical ventilation systems in energy-efficient building is proposed. The principal objective of the developed controller is to improve optimal balance between energy efficiency and indoor air quality by maintaining the indoor CO2 concentration at the comfort set point with an efficient ventilation rate while reducing energy consumption. The ventilation system is analysed, modeled, and simulated. The simulation results are reported to show the efficiency of the proposed control approach compared to the traditional On/Off and the PI ventilation control.}, isbn = {978-1-4673-7894-9}, author = {Lachhab, Fadwa and Essaaidi, Mohammed and Bakhouya, Mohamed and Ouladsine, Radouane}, editor = {Essaaidi, M and Zaz, Y} }