Our project aims to test flow velocities through eDNA membrane holders under oceanic conditions. By varying initial conditions, we simulate a range of initial oceanic flow rates for both experimental and numerical trials. To obtain experimental data, we use the particle image velocimetry (PIV) method to quantify fluid velocities entering and exiting the membrane holder. To compare experimental results to an analogous numerical model, we use ANSYS (fluent) to model the experimental flow conditions and calculate entering and exiting velocities. We compare results of both trials to cross-verify our results and to further understand how the membrane holder affects ambient flow. Initial results show good agreement between numerical and experimental results, and that flow is relatively unaffected by the holder, i.e. sufficient flow passes around and through the holder. In addition, trials test multiple shaped membrane holders to improve design ideas. Data taken in each trial will be used as supporting evidence for both patent and publication purposes.

By examining the J integrals of the Grad approximation from the Boltzmann equation, we discover the nth moment formula of these integrals. We look to the physical definitions in an attempt to understand the Grad 13th moment approximation. We utilize the conservation equations in some of our derivations. We hope to apply this scheme to the Edgeworth approximation.

Digital society plays a significant role in data communication. The aim of this research is to develop and program a solution for encrypting and decrypting digital medical images. The primary objective is to enhance the security of these images, preventing unauthorized manipulation and tampering during storage or transmission. Digital medical imaging involves electronically capturing images such as CT scans, X-rays, and MRIs, which represent the objects being examined. These images utilize RGB values and other object attributes. The research plan focuses on implementing Linear Feedback Shift Registers (LFSRs) to generate random keystreams that will be utilized for encryption and decryption processes. Additionally, the research aims to investigate potential security vulnerabilities associated with LFSR-based encryption methods. By exploring these vulnerabilities, the research will contribute to the development of a comprehensive encryption software solution.