RAM Air and Wind Energy harvesting survey for Electrical Vehicles and transportation
This paper presents a survey on how the implementation of RAM Air/Wind Energy has the potential to become a feasible energy source by extending the range traveled for electric cars, Unmanned Aerial Vehicles (UAVs), trucks, and rail transports. Through the concepts of the Venturi Effect, the Bernoulli Principle, and the application of RAT in the aviation system, the main goal will be achieved. In due course, RAM Air/Wind Energy will bring about the future of electrical transportation.
Joint Resource Allocation for Wireless Energy Harvesting Enabled Cognitive Sensor Networks
In this paper, we consider a cognitive relaying network, where the cognitive sensor transmitter (CST) is capable of harvesting energy from the radio frequency signals with a power splitting scheme. Specifically, the primary transmitter (PT) broadcasts its signal to primary receiver (PR) and CST in the first transmission slot. After receiving PT’s signal, CST splits the received signal into two parts, one for information decoding and the other for energy harvesting. In the second transmission slot, CST allocates a part of the accessed bandwidth to forward PT’s signal to PR with amplify-and-forward or decode-and-forward relaying protocols by using the harvested energy in the first transmission slot. As a reward, CST can utilize the remained bandwidth to transmit its own signal to the cognitive sensor receiver. The main object is to maximize cognitive network transmission rate by jointly optimizing the power splitting ratio and bandwidth subject to the primary transmission rate constraint. Simulation results are presented to illustrate the performance improvement of both primary and cognitive systems.
Air entrainment and oxygen transfer in a venturi
The dissolved oxygen content is a prime indicator of the quality of water. Water jets can increase dissolved oxygen levels when the jet impact velocity exceeds a critical velocity. In this paper, a...