RBIR Based on Signature Graph

This paper approaches the image retrieval system on the base of visual features local region RBIR (region-based image retrieval). First of all, the paper presents a method for extracting the interest points based on Harris-Laplace to create the feature region of the image. Next, in order to reduce the storage space and speed up query image, the paper builds the binary signature structure to describe the visual content of image. Based on the image's binary signature, the paper builds the SG (signature graph) to classify and store image's binary signatures. Since then, the paper builds the image retrieval algorithm on SG through the similar measure EMD (earth mover's distance) between the image's binary signatures. Last but not least, the paper gives an image retrieval model RBIR, experiments and assesses the image retrieval method on Corel image database over 10,000 images.Comment: 4 pages, 4 figure

Patent Externship at the U.S. Patent and Trademark Office

STEP Category: InternshipsWith the assistance of STEP, I will be working in an externship program for the U.S. Patent Trademark Office in the Office of the Commissioners for Patents in Alexandria, VA. I began working May 20, 2019 and ended August 9, 2019 for a total of 12 weeks. This externship allowed me to experience a professional governmental workplace and teach me about the patent decision-making processes. This opportunity was very beneficial in striving towards my personal and professional goals because it will give me a new and exciting experience in Alexandria and as an engineer, I will gain insight on how to develop and patent medical devices. With the help of STEP, I will be able to transform as a learner and as a professional because I will be able to work in such an innovative environment and witness the cutting-edge work of the nation’s technological progress and achievement.The Ohio State University Second-year Transformational Experience Program (STEP)Academic Major: Biomedical Engineerin

Service Learning

Helping the community through service.https://digitalscholarship.unlv.edu/educ_sys_202/1094/thumbnail.jp

Impact of Stratigraphic Heterogeneity on Hydrocarbon Recovery in Carbonate Reservoirs: Effect of Fluid Properties and Development Strategy

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