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Weak Power Grid Analysis for Renewable Energy Sources Integration
(North Dakota State University, 2019)
Weakness analysis based on grid strength assessment is useful for identifying potential weak grid issues. However, when taking into account the impact of the interactions among Renewable Energy Sources (RESs), the weakness ...
Embracing Visual Experience and Data Knowledge: Efficient Embedded Memory Design for Big Videos and Deep Learning
(North Dakota State University, 2019)
Energy efficient memory designs are becoming increasingly important, especially for applications related to mobile video technology and machine learning. The growing popularity of smart phones, tablets and other mobile ...
Implementation of Low Cost, High-Throughput and High Sensitive Biomarker Detection Technique in Serum/Plasma Samples by Integrating Dielectrophoresis and Fluorescence Based Platform
(North Dakota State University, 2019)
Low-cost, highly-sensitivity, and minimally invasive tests for the detection and monitoring of life-threatening cancers can reduce the worldwide disease burden. The disease diagnosis community is constantly working to ...
High Power Density and High Efficiency DC-DC Converters Based on Wide Bandgap Semiconductors
(North Dakota State University, 2019)
As the rapid development of semiconductor technologies, more and more power electronic devices are used in our daily life. The power converters are widely used in many emerging areas, such as renewable energy and clean ...
Formal Modeling and Verification Methodologies for Quasi-Delay Insensitive Asynchronous Circuits
(North Dakota State University, 2019)
Pre-Charge Half Buffers (PCHB) and NULL convention Logic (NCL) are two major commercially successful Quasi-Delay Insensitive (QDI) asynchronous paradigms, which are known for their low-power performance and inherent ...