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Skip to Search Results- 21Department of Civil and Environmental Engineering
- 13Department of Computing Science
- 12Department of Electrical and Computer Engineering
- 11Department of Chemical and Materials Engineering
- 5Department of Agricultural, Food, and Nutritional Science
- 5Department of Mechanical Engineering
- 3Huang, Biao (Chemical and Materials Engineering)
- 2AbouRizk, Simaan (Department of Civil and Environmental Engineering)
- 2Bouferguene, Ahmed (Campus Saint-Jean)
- 2Dinavahi, Venkata (Electrical and Computer Engineering)
- 2Liang, Hao (Electrical and Computer Engineering)
- 1Adamowicz, Wiktor (Resource Economics and Environmental Sociology)
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Optimizing Electric Vehicle Charging Networks: Adaptive Placement and Energy Management in Uncertain Environments
DownloadSpring 2024
With the emerging proliferation of electric vehicles (EVs) in traffic, the optimal deployment of EV charging stations has become a critical issue due to the foreseeable significant impact on conventional power distribution systems and traffic networks. With the complex coupling between...
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Spring 2024
With the growing demand for online applications such as high-resolution video streaming and cloud gaming, there is an urgent need for high-throughput and low-latency technologies. The Remote Direct Memory Access (RDMA) over Converged Ethernet Version 2 (RoCEv2) network protocol is increasingly...
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Spring 2024
Retrofitting buildings and optimizing their operation have been at the forefront of global efforts to reduce carbon emissions over the past few decades. Intelligent control of building systems, such as Heating, Ventilation, and Air Conditioning (HVAC), presents two clear benefits: it improves...
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Synthesis and degradation of polyhydroxybutyrate (PHB) under different nutrient combinations in the alphaproteobacterial methanotroph, Methylocystis sp. Rockwell
DownloadFall 2023
Methane emissions and plastic pollution are two distinct environmental issues that arise from human activities. The ongoing increases in methane emissions and its atmospheric concentration pose a major environmental threat as methane is a potent greenhouse gas, with a warming effect 28 times...
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Fall 2023
A new microprocessor within a given processor architecture may introduce performance-improving features that either can only be accessed through novel instructions or require new code-generation techniques to be beneficial. In response, compilers must be extended/improved to make use of these new...
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Fall 2023
The downturn of the world economy and the increasingly severe competition among mining giants puts forward higher requirements for open-pit mining, which is the dominant method for humans to obtain minerals from the earth. Among these so-called higher requirements, reducing mining costs as much...
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Profiling true microbial community of newborn beef calves using low microbial biomass samples
DownloadFall 2023
Amplicon sequencing (16S rRNA gene sequencing) is widely used to profile host-associated microbial communities. Rapid advancements in sequencing and user-friendly bioinformatics platforms have improved the knowledge of microbial community composition. However, profiling samples containing low...
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Spring 2023
Body posture predicting methods have many applications, including product design, ergonomic workplace design, human body simulation, virtual reality and animation industry. Initiated in robotics, Inverse Kinematic (IK) method has been widely applied to proactive human body posture estimation. The...
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New Fast and Accurate Steady-State Analysis Approach for Design, Optimization, and Simulation of General Power Converter Systems
DownloadSpring 2023
Accurate steady-state analysis of power converters are essential for converter design and optimization. Steady-state responses are also useful for component selection, loss calculation, identification of soft switching operation, and small signal modeling of power converters. Normally, a...
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Fall 2023
Oftentimes, machine learning applications using neural networks involve solving discrete optimization problems, such as in pruning, parameter-isolation-based continual learning and training of binary networks. Still, these discrete problems are combinatorial in nature and are also not amenable to...