FernLabs Research

Always imagining tomorrow's future...

**[+] Analysis of Superfluidic Helium 4 using Particle Dynamics**** (Current)**

**[+] Analysis of Maxwell Equations in Fourier Space (Complete)**

Fourier methods are commonly used in analysis of partial differential equations (PDEs) of different nature. Maxwell equations are some of those PDEs that are fundamental in nature, which eventually gave birth to the whole field of electrical engineering. If one were to describe these equations in a sentence, it would say, “Four dimensional divergence of an antisymmetric second rank tensor equals zero.” In this project, it is intended to investigate the isotropic form of the Maxwell equations by expanding it to its spectral components using the Generalized Complex Fourier Series in three dimensions to understand its time evolution. As a result of this theoretical encounter, the equations are projected as expansions in Fourier space.

**[+] Physical Nature of the Semiconducting Photovoltaic Cell (Complete)**

This research project presents the investigation of the energy production of the photovoltaic cell. In addition, this project will compare and contrast different types of photovoltaic technologies in the market for the purpose of updating the knowledge of the subject matter. To gain a deeper understanding of how these cells operate, this project will establish a mathematical framework in which all theoretical descriptions will be introduced. The main purpose of this project is to understand how these photovoltaic cells convert solar energy into electrical energy. Some applications of the photovoltaics will be discussed to outline the importance of this technology.

**[+] Adaptive Temperature Control of a Supercomputing System (Complete)**

Nowadays, in order to provide a reliable temperature control system, there are many characteristics that must be taken into consideration. Temperature control is an integral part of a system that relies on feedback. To accelerate the control, the demand range of temperature for the process must be known. The goal is to integrate a temperature detection system, Proportional Integral Derivative (PID) Controller and High Heating, Ventilation and Air Conditioning (HVAC) system together so the system functions smoothly. This project intends to investigate the temperature control (heating and cooling) problem of supercomputing systems. These goals are achieved by scheduling an accurate work plan and designing the control system to optimize the integration of these systems. In addition, these systems will be simulated and tested to assure optimum quality.

**[+] Deep Leaning Artificial Neural Networks (Complete)**

Neural networks and deep learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. Our goal was to setup ANN&Deep-Learning machine to train New-Networks in future. This task involved the installation of LINUX OS environment targeting numerical computation using Tensorflow'. Furthermore, the installation of Compute Unified Device Architecture 'CUDA 7.5 for parallel computing platform and application programming interface (API) model created by NVIDIA. Graphics processing unit (GPU) for general purpose processing – an approach known as GPGPU along with Python 2.7 and 3.6 for Libraries inclusion in Tensorflow.

**[+] Telescope Control System (Complete)**

Researched methods to efficiently complete the task while constructing software models to interface with commercial hardware using curl. Finally developed the embedded software that currently controls the main telescope at Edinboro University which is used for departmental astrophysical research.

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