Fuel Conservation Technology Development and Use in Large Transport Category Aircraft

2020 ◽  
Author(s):  
Jack Edwin Troutt
Keyword(s):  
Technology Development ◽  
Conservation Technology

Development of Foreign Building Saving-Energy Technology

2013 ◽  
Vol 671-674 ◽  
pp. 2126-2128
Author(s):  
De Yu Huang
Keyword(s):  
Energy Conservation ◽  
Energy Saving ◽  
Technology Development ◽  
Building Energy ◽  
Research Field ◽  
Energy Technology ◽  
Conservation Technology ◽  
Building Energy Saving ◽  
Energy Saving Technology ◽  
Energy Efficiency Evaluation

Building energy saving is the world faced by the construction industry in key technology fields, but also to ease the global energy shortage and improve the environmental quality. Based on the effective ways to promote the Chinese urban construction energy conservation technology development as the background, from the design of building energy-saving technology, construction equipment energy saving technology, heat recovery and heat and the utilization of renewable energy technology, energy efficiency evaluation etc, systematically introduced the latest progress in the research field of building energy conservation.

scholarly journals Coproduce conservation technology with law and policy experts to increase its impact

2021 ◽  
Author(s):  
Jacob Malcom ◽  
Michael John Evans ◽  
Jessica Norriss ◽  
Victoria Foster ◽  
Matthew Moskwik
Keyword(s):  
Technology Development ◽  
Government Agencies ◽  
Detailed Knowledge ◽  
Biodiversity Crisis ◽  
Track Record ◽  
Law And Policy ◽  
Efficiency And Effectiveness ◽  
Conservation Technology ◽  
Policy Communities ◽  
The U.S

Addressing the biodiversity crisis will mean developing and adopting new resources and methods that effectively improve public conservation efforts. Technologies have a long track record of increasing the efficiency of carrying out time-consuming tasks or even making new feats possible, and if applied thoughtfully, can serve as a key means of strengthening conservation outcomes. Yet technology development sometimes proceeds without clear mechanisms for application and scaling, or key adopters like government agencies are not able to use the technologies. To overcome these discrepancies, we recommend the use of a coproduction model of conservation technology development that starts from detailed knowledge of conservation laws, regulations, and policies; identifies choke points in those processes amenable to technological solutions; and then develops those solutions while integrating existing users and needs. To illustrate the model, we describe three tools recently developed to help improve the efficiency and effectiveness of implementing the U.S. Endangered Species Act. We also highlight several outstanding questions and challenges that the broad conservation technology and policy communities may help address.

scholarly journals Coproduce Conservation Technology With Conservation Decision Makers and Practitioners to Increase Its Impact

2022 ◽  
Vol 2 ◽  
Author(s):  
Jacob W. Malcom ◽  
Michael Evans ◽  
Jessica Norriss ◽  
Victoria Foster ◽  
Matthew Moskwik
Keyword(s):  
Technology Development ◽  
Decision Makers ◽  
Government Agencies ◽  
Detailed Knowledge ◽  
Biodiversity Crisis ◽  
Track Record ◽  
Efficiency And Effectiveness ◽  
Conservation Technology ◽  
Policy Communities ◽  
The U.S

Addressing the biodiversity crisis will mean developing and adopting new resources and methods that effectively improve public conservation efforts. Technologies have a long track record of increasing the efficiency of carrying out time-consuming tasks or even making new feats possible, and if applied thoughtfully, can serve as a key means of strengthening conservation outcomes. Yet technology development sometimes proceeds without clear mechanisms for application and scaling, or key adopters like government agencies are not able to use the technologies. To overcome these discrepancies, we recommend the use of a coproduction model of conservation technology development that starts from detailed knowledge of conservation laws, regulations, policies, and their implementation; identifies choke points in those processes amenable to technological solutions; and then develops those solutions while integrating existing users and needs. To illustrate the model, we describe three tools recently developed to help improve the efficiency and effectiveness of implementing the U.S. Endangered Species Act. We also highlight several outstanding questions and challenges that the broad conservation technology and policy communities may help address.

Some applications of electron beam microanalysis techniques in VLSI process evaluation

1983 ◽  
Vol 41 ◽  
pp. 160-161
Author(s):  
Simon Thomas
Keyword(s):  
Integrated Circuits ◽  
Process Evaluation ◽  
Large Scale ◽  
Technology Development ◽  
Analytical Techniques ◽  
Successful Implementation ◽  
Analysis Of Failures ◽  
Characterization Of Materials ◽  
Circuits Vlsi

Trends in the technology development of very large scale integrated circuits (VLSI) have been in the direction of higher density of components with smaller dimensions. The scaling down of device dimensions has been not only laterally but also in depth. Such efforts in miniaturization bring with them new developments in materials and processing. Successful implementation of these efforts is, to a large extent, dependent on the proper understanding of the material properties, process technologies and reliability issues, through adequate analytical studies. The analytical instrumentation technology has, fortunately, kept pace with the basic requirements of devices with lateral dimensions in the micron/ submicron range and depths of the order of nonometers. Often, newer analytical techniques have emerged or the more conventional techniques have been adapted to meet the more stringent requirements. As such, a variety of analytical techniques are available today to aid an analyst in the efforts of VLSI process evaluation. Generally such analytical efforts are divided into the characterization of materials, evaluation of processing steps and the analysis of failures.

Models of Development Based on Technology Diffusion

2012 ◽  
pp. 117-131 ◽  
Author(s):  
O. Golichenko
Keyword(s):  
Knowledge Transfer ◽  
Technology Diffusion ◽  
Technology Development ◽  
International Competition ◽  
Global Knowledge ◽  
Technology Knowledge ◽  
Catching Up ◽  
Technological Potential ◽  
Models Of Development ◽  
Effective Use

The problems of multifold increase of technological potential of developing countries are considered in the article. To solve them, i.e. to organize effectively tapping into global knowledge and their absorption, the performance of two diffusion channels is considered: open knowledge transfer and commercial knowledge transfer. The models of technological catching-up are investigated. Two of them are found to give an opportunity of effective use of international competition and global technology knowledge as a driver of technology development.

Machine Learning Verdict of EEG Signals in Brain Computer Interface

2018 ◽  
pp. 429-441
Author(s):  
M. Jeyanthi ◽  
C. Velayutham
Keyword(s):  
Nearest Neighbor ◽  
Technology Development ◽  
Vital Role ◽  
Svm Classifier ◽  
K Nearest Neighbor ◽  
Data Mining Technique ◽  
Data Set ◽  
Eeg Data ◽  
Irrelevant Attributes

In Science and Technology Development BCI plays a vital role in the field of Research. Classification is a data mining technique used to predict group membership for data instances. Analyses of BCI data are challenging because feature extraction and classification of these data are more difficult as compared with those applied to raw data. In this paper, We extracted features using statistical Haralick features from the raw EEG data . Then the features are Normalized, Binning is used to improve the accuracy of the predictive models by reducing noise and eliminate some irrelevant attributes and then the classification is performed using different classification techniques such as Naïve Bayes, k-nearest neighbor classifier, SVM classifier using BCI dataset. Finally we propose the SVM classification algorithm for the BCI data set.

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