Follow this and additional works at: http://digitalcommons.unl.edu/usdoepub Part of the Bioresource and Agricultural Engineering Commons, Climate Commons, Environmental Engineering Commons, Environmental Indicators and Impact Assessment Commons, Environmental Monitoring Commons, Natural Resource Economics Commons, Natural Resources and Conservation Commons, Oil, Gas, and Energy Commons, Other C...

We call a local vector lattice any vector lattice with a distinguished positive strong unit and having exactly one maximal ideal (its radical). We provide a short study of local vector lattices. In this regards, some characterizations of local vector lattices are given. For instance, we prove that a vector lattice with a distinguished strong unit is local if and only if it is clean with non no-...

This thesis is concerned with reconstructing an intelligible time-domain speech signal from speech recognition features, such as Mel-frequency cepstral coefficients (MFCCs), in a distributed speech recognition(DSR) environment. The initial reconstruction methods in this thesis require, in addition to MFCC vectors, fundamental frequency and voicing information. In the later parts of the thesis t...

Clean distributable energy source is expected to develop for the sustainable societies in the 21 century. Recent research development of condensed matter nuclear science (CMNS), which is the descendant new research filed of past controversial “cold fusion” saga, is now revealing the new possibility of potential clean nuclear energy in portable size devices, although the stage of research is sti...

Alternative energy technologies are greatly hindered by significant limitations in materials science. From low activity to poor stability, and from mineral scarcity to high cost, the current materials are not able to cope with the significant challenges of clean energy technologies. However, recent advances in the preparation of nanomaterials, porous solids, and nanostructured solids are provid...

This paper summarizes the results of a studyFScenarios for a Clean Energy FutureFthat assess how energy-efficient and clean energy technologies can address key energy and environmental challenges facing the US. A particular focus of this study is the energy, environmental, and economic impacts of different public policies and programs. Hundreds of technologies and approximately 50 policies are ...

— Modern engineered materials, components and systems depend on raw materials whose properties provide essential functionality to these technologies. Some of these raw materials are subject to supply-chain risks, and such materials are known as critical materials. This paper reviews corporate, national and world perspectives on material criticality. It then narrows its focus to studies that ass...

This paper considers policies for promoting productive investments in the USA, especially as regards the project of building a clean energy economy. The four main policies examined are (i) expanding public investments throughout the economy and gaining the crowding-in benefits that will accrue from such investments, (ii) refocusing the successful but ad hoc, US model of industrial policies, (ii...

Basic approaches typically include spreadsheet-based analyses that use emissions factor relationships or other assumptions to estimate reductions. Sophisticated approaches are usually more complex and involve dynamic electricity or energy system representations that predict energy generation responses to policies and calculate the effects on emissions.* 4.2.2 QUANTIFY AIR AND GHG EMISSION REDUC...

Robust speech recognition via hidden Markov modeling of spectral vectors is studied in this paper. The hidden Markov model (HMM) mixture components are assumed complex Gaussian with zero mean, diagonal covariance, and with incorporating an unknown scalar gain term. The gain term is associated with each spectral vector and it models the varying energy of speech signals. It is estimated by applyi...