This study evaluates the performance of various optimization algorithms GA(Genetic Algorithm), GHA(Greedy Heuristic Algorithm), and RS(Random Search), to address this issue. Based on our validation, GA was chosen for its effectiveness and employed to solve this intricate planning problem. Our findings confirm that neighboring wind farms significantly influence each other’s performance and reveal that wind speed significantly affects this influence. We prove that smaller turbines with shorter rotor lengths can mitigate this impact.
This project needs combines 3 models: a face detector, a face classifier, and a conversational model. Face detectors do the task that detecting the human face in a picture and outputting the face image. And face classifier is identifying the ques of facial expression. Lastly, the conversation model could be regarded as a regular chatbot.
In this project, we've developed a parallel solver for the Navier-Stokes equations using MPI for improved efficiency. Our focus was on fluid dynamics, breaking down the complex calculations across multiple processors. This not only speeds up the process but also scales up for more intricate simulations. We've concentrated on ensuring the accuracy of our simulations while optimizing performance. This is crucial for applications in fields like engineering and physics. All the cases were test in the high performance computer (HPC) in Imperial College London. Our work showcases how parallel computing can be effectively used to handle complex fluid dynamics problems, demonstrating a significant stride in the realm of scientific computation.
Apply different filters and transformations to 2D images or 3D volumes by C++
Training and fintuning yolo5 to detect the impact crater on the moon
This Project is to simulate that an asteroid may strike the earth in the UK.