Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Roja Eini"'
Publikováno v:
2022 IEEE International Smart Cities Conference (ISC2).
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Publikováno v:
2021 IEEE Green Energy and Smart Systems Conference (IGESSC).
Autor:
Sherif Abdelwahed, Basil Gooden, Sarin Adhikari, Brittany Keegan, Roja Eini, Nasibeh Zohrabi, John C. Jones, Lauren Linkous, Brian C. Verrelli
Publikováno v:
2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI).
As urbanization moves towards globalization in the next century, the evolution of smart city technologies has also brought new approaches to traditional public wellbeing problems such as food accessibility at both global and local scales. Technology
Autor:
Nasibeh Zohrabi, Patrick Martin, Sherif Abdelwahed, Nathan Puryear, Murat Kuzlu, Lauren Linkous, Erwin Karincic, Halil Kalkavan, Adam Morrissett, Roja Eini, Jonathan Lundquist, Ashraf Tantawy, Oezguer Gueler, Maher Al Islam, Mostafa Zaman
Publikováno v:
ISC2
This paper presents an open architecture testbed for smart cities, called OpenCity, which is hosted at Virginia Commonwealth University (VCU). The OpenCity platform consists of data collection and processing units, database management, distributed pe
Autor:
Sherif Abdelwahed, Roja Eini
Publikováno v:
ISC2
This paper proposes a model predictive control (MPC) approach incorporated with machine learning to control the energy consumption and occupants’ comfort (thermal and visual comfort) in a smart building. Neural networks (NN)s are developed to learn
Autor:
Sherif Abdelwahed, Roja Eini
Publikováno v:
iThings/GreenCom/CPSCom/SmartData
This paper proposes a distributed model predictive control (DMPC) approach for an urban traffic network (UTN) system. The control objective is to minimize the traffic congestion and the total travel time spent (TTS) in each link. The proposed DMPC al
Publikováno v:
HSI
Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly advancing in capability and complexity. While simulation environments continue to improve, their fidelity and ease of use can quickly degrade as newer system
Autor:
Roja Eini, Sherif Abdelwahed
Publikováno v:
FUZZ-IEEE
This paper introduces an indirect adaptive fuzzy model predictive control strategy for a nonlinear rotational inverted pendulum with model uncertainties. In the first stage, a nonlinear prediction model is provided based on the fuzzy sets, and the mo
Autor:
Roja Eini, Sherif Abdelwahed
Publikováno v:
2019 IEEE Green Technologies Conference(GreenTech).
In this paper, a distributed Model Predictive Control (DMPC) strategy is developed for a multi-zone building plant with disturbances. The control objective is to maintain each zone's temperature at a specified level with the minimum cost of the under