Ning Zhuo

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UNLABELLED We demonstrated an unambiguous quantum dot cascade laser based on InGaAs/GaAs/InAs/InAlAs heterostructure by making use of self-assembled quantum dots in the Stranski-Krastanow growth mode and two-step strain compensation active region design. The prototype generates stimulated emission at λ ~ 6.15 μm and a broad electroluminescence band with(More)
OBJECTIVE The objective of the Strategic Health IT Advanced Research Project area four (SHARPn) was to develop open-source tools that could be used for the normalization of electronic health record (EHR) data for secondary use--specifically, for high throughput phenotyping. We describe the role of Intermountain Healthcare's Clinical Element Models ([CEMs](More)
We demonstrate a quantum dash quantum cascade photodetector (QDash-QCD) by incorporating self-assembled InAs quantum dashes into the active region of a long wave infrared QCD. Sensitive photoresponse to normal incident light at 10 μm was observed, which is attributed to the intersubband (ISB) transitions in the quantum well/quantum dash (QW/QDash) hybrid(More)
The design, fabrication, and characterization of a polarization-dependent normal incident quantum cascade detector coupled via complementary split-ring metamaterial resonators in the infrared regime are presented. The metamaterial structure is designed through three-dimensional finite-difference time-domain method and fabricated on the top metal contact,(More)
A sample grating distributed feedback quantum cascade laser array aim at broad tunability and enhanced side mode suppression ratios is presented. Utilizing a sample grating dependence on emission wavelength and epitaxial side down bonding technique, the array of laser ridges exhibited three separated single mode emissions centered at 4.760, 4.721, and 4.711(More)
(Mar. 2015). " A survey on the application of recurrent neural networks to statistical language modeling ". In: Computer Speech & Language 30.1, pp. 61–98.
Machine learning, natural language processing and information retrieval theory and applications, including constructing timelines from unstructured text, characterizing quality in educational webpages, identifying science misconceptions in student essays, learning feature-based models for literature search, and building information extraction models for(More)
Traditional packet classification algorithms in Giga bit Intrusion Detection System (GIDS) always focus on static characteristic of the signature and ignore the traffic characteristic totally. In this paper we argue that efficiency of the classification algorithm is up to how current traffic visits the tree, the more well-proportioned the classification(More)
It is well recognized that controlled medical terminologies play a critical role in Health Information Systems and Clinical Patient Record systems, but the creation and management of customized lists of terms ("picklists") remains a potential obstacle. We have been developing a sophisticated authoring tool that is fully integrated with our terminology(More)
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