Elastic properties of plywood panels are essential for predicting
structural behavior of wood systems. The ASTM Standard D 3043-76
which evaluates the moduli of elasticity (MOE) of plywood, treats
these panels as one dimensional beams instead of two-dimensional
plates, which results in an overestimate of the MOE. Improved procedures
for...
Idaho National Laboratories recently conducted micromechanical testing of nano-recrystallized UO₂ as a part of an ongoing investigation of High Burnup Structure (HBS). The goals of the test were to determine the fracture stress, and the elastic modulus of subdivided grains within UO₂ using ion irradiation rather than neutron irradiation to...
As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
Data centers have seen a rapid growth in recent years as the technology industry is relying more on cloud services. In effect, data centers are paying millions of US $ in energy costs. Several strategies have been proposed to lower the total energy cost at data centers- task migration, server...
Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
Clothing is the primary means that wilderness backpackers have to protect themselves from injuries and illnesses that can occur while hiking in the cold. The current method of layering clothing may not meet backpackers' needs for both thermal insulation and heat dissipation, particularly in areas of the body that produce...
This study sought to explore the relationship between spatial scale and canopy
chemistry through the use of remotely sensed videography data and total nitrogen content
of potato petioles. A range of broad band spectral indices were employed along with
standard red and green wavelengths to define an optimum scale or...
In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
