Engineering Commons^™

Boron-Implanted Silicon Substrates For Physical Adsorption Of Dna Origami, Sadao Takabayashi, Shohei Kotani, Juan Flores-Estrada, Elijah Spears, Jennifer E. Padilla, Lizandra C. Godwin, Elton Graugnard, Wan Kuang, William L. Hughes

Materials Science and Engineering Faculty Publications and Presentations

DNA nanostructures routinely self-assemble with sub-10 nm feature sizes. This capability has created industry interest in using DNA as a lithographic mask, yet with few exceptions, solution-based deposition of DNA nanostructures has remained primarily academic to date. En route to controlled adsorption of DNA patterns onto manufactured substrates, deposition and placement of DNA origami has been demonstrated on chemically functionalized silicon substrates. While compelling, chemical functionalization adds fabrication complexity that limits mask efficiency and hence industry adoption. As an alternative, we developed an ion implantation process that tailors the surface potential of silicon substrates to facilitate adsorption of DNA nanostructures …

Introducing The Boise State Bangla Handwriting Dataset And An Efficient Offline Recognizer Of Isolated Bangla Characters, Nishatul Majid, Elisa H. Barney Smith

Electrical and Computer Engineering Faculty Publications and Presentations

This introduces the Boise State Bangla Handwriting Dataset, a publicly accessible offline handwriting dataset of Bangla script. This can be found at https://scholarworks.boisestate.edu/saipl/1/

A basic character recognition method is presented where the features are extracted based on zonal pixel counts, structural strokes and grid points with U-SURF descriptors modeled with bag of features.

Benchmarking with this approach on 3 other publicly available Bangla datasets is reported. The highest classification accuracy obtained with an SVM classifier based on a cubic kernel is 96.8%.

De-Risking Transdisciplinary Research By Creating Shared Values, Donna C. Llewellyn, William L. Hughes

Materials Science and Engineering Faculty Publications and Presentations

This Lessons Learned Paper describes a yearlong faculty development pilot program that was designed to help a team of faculty de-risk their pursuit of wicked research problems. Wicked problems are extraordinarily difficult to solve due to their incomplete, contradictory, and at times changing requirements. They often include multiple stakeholders with competing interests and worldviews. As a result, they are risky by definition because they are difficult to fund, publish, and collaborate on. Presented here, a team of eleven faculty, from six different academic units, explored their personal and professional values during an initial off-site two and a half day retreat. …

Introducing The Xxx Bangla Handwriting Dataset And An Efficient Offline Recognizer Of Isolated Bangla Characters, Nishatul Majid, Elisa H. Barney Smith

Electrical and Computer Engineering Faculty Publications and Presentations

This paper presents a publicly accessible Bangla offline handwriting dataset, as well as benchmarking with a simple and robust isolated handwritten character recognition scheme. The dataset is named XXX Bangla Handwriting Dataset. The dataset contains 2 pages. The first has a 104 word/364 character essay. The essay uses 49 basic characters, all 11 vowel diacritics and 32 high frequency consonant conjuncts. The second page contains 84 isolated units containing all basic characters, numbers, vowel diacritics and several high frequency conjuncts. The initial release is based on the voluntary contribution of 100 different writers. One of the highlights and unique features …

Improving The Relative Calculations Of Volta Potential Differences Acquired From Scanning Kelvin Probe Force Microscopy (Skpfm) From Comparing An Inert Material To First-Principle Calculations, C. M. Efaw, T. Da Silva, P. H. Davis, L. Li, E. Graugnard, M. Hurley

Materials Science and Engineering Faculty Publications and Presentations

An improved relative scaling of Volta potential differences (VPD) acquired from scanning Kelvin probe force microscopy (SKPFM) was developed by quantifying the probe work function. In corrosion studies, SKPFM has been used to identify local nobility of complex metallic systems and provide theoretical corrosion initiation sites. However, large variability in measured VPD values for metallic phases has led to controversy in their interpretation. Tracking changes of the probe work function has been shown to decrease the variability seen in SKPFM results. To quantify the work function of SKPFM probes, the measured VPD of an inert gold standard was compared to …