Academic Year 2022/2023
Multiple Access for 5G Wireless Networks Challenges and Solutions Analysis
Supervised By: Dr. Sameh Fathy
Presented By: Abdelrahman Mohamed, Asser Abdelkarim, Taha Hosny, Youssef Mohamed
Department of Electronics and Communication,
Arab Academy for Science, Technology and Maritime Transport, Giza, Smart Village Campus
Abstract
Universal-filtered multicarrier (UFMC) is one of the new waveform generation techniques proposed for the future generation of wireless communications technologies. UFMC is expected to have low latency, be resistant to frequency offset, and reduce out-of-band emission (OoBE), resulting in higher spectral efficiency. UFMC can be thought of as an extension of orthogonal frequency-division multiplexing (OFDM), hence one major advantage of using UFMC is the ability to adapt and apply the vast amount of OFDM literature and research results in UFMC. Despite, the numerous advantages of the UFMC system, it still suffers from a high peak-to-average power ratio (PAPR) because it is essentially a multicarrier transmission technology. Consequently, in this project, some PAPR reduction algorithms based on Signal distortion and probabilistic approaches will be simulated and compared in terms of bit error rate (BER) performance and PAPR reduction ability.
NUROB: A Nurse Robot for improved medical service
Supervised By: Dr. Hesham Hamdy and Dr. Noha Ghatwary
Presented By: Mohamed Osama, Mohamed Khaled, Omar Osama, Youssef Said
Department of Electronics and Communication,
Arab Academy for Science, Technology and Maritime Transport, Giza, Smart Village Campus
Abstract
This project studies proposing an open-source 3D-printable humanoid nurse robotic. The project aims to make a robot deliver medicine for the patients in the hospital from the medicine store found at the hospital. Hence, this project will study several techniques in computer vision, sensor fusion, and autonomous systems based on artificial intelligence combined with electronics, communication, and robotic fields. The project is considered one of the future smart medical system applications that support countries by improving their medical services, for example, protecting medical teams and patients from infections, especially during pandemic times.
Vehicle to everything (V2X) based on Internet of Vehicle (IoV) concept
Supervised By: Dr. Mohamed Abaza and Dr. Hesham Hamdy
Presented By: Ahmed Hazem, Ahmed Khaled, Ahmed Tarek, and Mohamed Ashraf
Department of Electronics and Communication,
Arab Academy for Science, Technology and Maritime Transport, Giza, Smart Village Campus
Abstract
Vehicle-to-everything (V2X) communication has attracted significant research interest in academia and industry. As a key enabler for intelligent transportation systems (ITS), V2X can be divided into vehicle-to-vehicle (V2V) communications, vehicle-to-infrastructure (V2I) communications, and vehicle-to-pedestrian (V2P) communications), as well as communications with vulnerable road users (VRUs), and with cloud networks (V2N). Combining V2X and the Internet of Things (IoT) become more demanding for several organizations and governments and become what is called the Internet of Vehicle (IoV)
In this Project, the V2X based On IoV framework will be studied to develop the self-driving vehicle or autonomous vehicle concept. Project team, will focus on enhancing the localization and controlling the autonomous vehicle to develop safety from the V2V and V2I communication systems. AI and cellular communication network will be the main target of this study. The hardware and software requirements will be assigned by the project team.
Autonomous vehicle for IoT system design from car safety prospective
Supervised By: Dr. Mohamed Abaza and Dr. Hesham Hamdy
Presented By: Ahmed Nahmdo, Omar Hany, Omar Walid, Seif Mohamed
Department of Electronics and Communication,
Arab Academy for Science, Technology and Maritime Transport, Giza Branch
Abstract
Self-driving vehicle or Autonomous Vehicle (AV) starts to boom in every field not just for transportation but also in Logistics, Health, Military… and more. On the other side, Artificial intelligence become the heart of these types of research. This project aims to build a prototype of an autonomous vehicle targeting one of the IoT applications.
In this Project the perception system based on combining AI and sensor fusion algorithm with hardware and software implementation will be studied to avoid the autonomous car from crashing. As this project will be the foundation for Electronics and Communication Engineering department in AASTM – Smart Village Campus for Autonomous systems for IoT applications, safety of the vehicle will be the main aspect taking into consideration for the system design.
