Simulation of input structure for confocal quasi- cylindrical gyrotron amplifier

2013 ◽  
Author(s):  
Chao Zhao ◽  
Wenxin Liu ◽  
Yong Wang
Keyword(s):  
Gyrotron Amplifier ◽  
Input Structure

Hybrid Lighting Complex for Combined Lighting Systems Research Into Optical Path Optimization Using the Complex "Solar Led-S" New Modification

2018 ◽  
pp. 122-129
Author(s):  
Alexander T. Ovcharov ◽  
Yuri N. Selyanin ◽  
Yaroslav V. Antsupov
Keyword(s):  
Light Transmission ◽  
Optical Path ◽  
Artificial Light ◽  
Solar Panels ◽  
Shopping Centre ◽  
Systems Research ◽  
Lower Stage ◽  
Input Structure ◽  
Lighting Systems ◽  
Two Stages

A new concept of the architecture of hybrid lighting systems for installations of combined lighting is considered. The cascade principle of constructing the optical path of such complexes is described, in which the design contains two stages of the cascade: the upper and lower stages. The upper (input) structure is made on the basis of the corresponding modification of the hollow tube “Solatube®” (daylight), and the lower one, based on the “Solatube®” fibre of a larger diameter, is combined with LED artificial light block and is designed to transmit mixed light (daylight and artificial light). The results of studies on the efficiency of light transmission made it possible to optimize the solution of the new modification of the hybrid lighting complex “Solar LED”, lower stage of the cascade, and to develop the nomenclature of the production line “S”. The description of the first experience of using this complex in the pilot combined illumination system of the “meeting room” in the shopping centre “IKEA Belaya Dacha” headquarters is given. A completely autonomous power supply system for a lighting installation based on solar panels has been implemented.

An Electrodynamic Method for Suppression of Self-Excitation in a Gyrotron Amplifier

2001 ◽  
Vol 56 (8-9) ◽  
pp. 12
Author(s):  
Anatolii Fedorovich Korolev ◽  
Valerii Anatol'evich Polezhaev ◽  
Anatolii Petrovich Sukhorukov ◽  
Andrei Viktorovich Sheludchenkov
Keyword(s):  
Gyrotron Amplifier

scholarly journals How Does Environmental Regulation Affect Industrial Transformation? A Study Based on the Methodology of Policy Simulation

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Wei Liu ◽  
Jian Tong ◽  
Xiaohang Yue
Keyword(s):  
Resource Allocation ◽  
Environmental Regulation ◽  
Spillover Effect ◽  
Policy Simulation ◽  
Industrial Transformation ◽  
Input Structure ◽  
Distortion Effect ◽  
The Difference ◽  
The Impact ◽  
Factor Input

The difference of factor input structure determines different response to environmental regulation. This paper constructs a theoretical model including environmental regulation, factor input structure, and industrial transformation and conducts a policy simulation based on the difference of influencing mechanism of environmental regulation considering industrial heterogeneity. The findings show that the impact of environmental regulation on industrial transformation presents comparison of distortion effect of resource allocation and technology effect. Environmental regulation will promote industrial transformation when technology effect of environmental regulation is stronger than distortion effect of resource allocation. Particularly, command-control environmental regulation has a significant incentive effect and spillover effect of technological innovation on cleaning industries, but these effects do not exist in pollution-intensive industries. Command-control environmental regulation promotes industrial transformation. The result of simulation showed that environmental regulation of market incentives is similar to that of command-control.

The Decomposition Analysis of Tourism Water Footprint in Taiwan: Revealing Decision-Relevant Information

2018 ◽  
Vol 58 (4) ◽  
pp. 695-708 ◽  
Author(s):  
Ya-Yen Sun ◽  
Ching-Mai Hsu
Keyword(s):  
Water Use ◽  
Water Consumption ◽  
Water Footprint ◽  
Decomposition Analysis ◽  
Economic Structure ◽  
Relevant Information ◽  
Structural Decomposition Analysis ◽  
Total Consumption ◽  
Economic Output ◽  
Input Structure

Tourism water consumption reflects the dynamics between the visitation volume, economic structure, and water use technology of a destination. This paper presents a structural decomposition analysis that attributes changes of Taiwan’s tourism water footprint into the demand factors of total consumption and purchasing patterns, and production factors of the industry input structure and water use technology. From 2006 to 2011, Taiwan experienced a 48% growth in visitor expenditures and a 74% surge in its water footprint. Diseconomies of scale were observed, with a 1% increase in consumption leading to a 1.5% increase in the tourism water footprint. A strong preference by visitors for water-intensive goods and services and a changing economic structure requiring more water input for tourism establishments and supply chain members contributed to this worrisome pattern. The water requirements received only a minimal offset effect with technological improvements. Decoupling tourism water consumption from economic output is currently unattainable.

scholarly journals GIS-Based Energy Consumption and Spatial Variation of Protected Grape Cultivation in China

2018 ◽  
Vol 10 (9) ◽  
pp. 3248 ◽  
Author(s):  
Dong Tian ◽  
Min Zhang ◽  
Xuejian Wei ◽  
Jing Wang ◽  
Weisong Mu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Consumption ◽  
Total Energy ◽  
Energy Input ◽  
Production Systems ◽  
Organic Fertilizer ◽  
Total Energy Consumption ◽  
Renewable Energy Consumption ◽  
Input Structure ◽  
The Difference

This paper compares the difference in energy consumption in different sub-patterns and features of energy consumption structures used in protected grape production systems using statistical data. Then, spatial characteristics between different production modes based on geographic information systems are also analyzed. The results reveal that the types of energy consumption include steel, iron wire, water, chemical fertilizer, pesticides, electric power, organic fertilizer, plastic films, and labor. The total energy consumption for protected grape production was 210,534.3 MJ ha−1 in 2011, 211,504.6 MJ ha−1 in 2012, and 222,571.8 MJ ha−1 in 2013. From the perspective of cultivation modes, early ripening production and late ripening production consumed more energy than rain-shelter production; in terms of facility types, the total energy input of both vinyl tunnels and solar greenhouses were always higher than rain-shelter greenhouses. Indirect and non-renewable energy consumption were higher than that of direct and renewable energy, which accounted for 90% of energy consumption. Spatial analysis showed that the values of Moran’s I were all positive for the three years, which means protected grape input had a positive spatial autocorrelation. Therefore, we should adjust the energy input structure and choose more sustainable production modes to improve the sustainability of the production of protected grapes.

scholarly journals ChemSpaX: Exploration of Chemical Space by Automated Functionalization of Molecular Scaffold

2021 ◽  
Author(s):  
Adarsh Kalikadien ◽  
Evgeny A. Pidko ◽  
Vivek Sinha
Keyword(s):  
Force Field ◽  
High Throughput ◽  
High Throughput Screening ◽  
Chemical Space ◽  
Space Exploration ◽  
Molecular Structures ◽  
Data Driven ◽  
Pincer Complexes ◽  
Cobalt Porphyrin ◽  
Input Structure

<div>Local chemical space exploration of an experimentally synthesized material can be done by making slight structural</div><div>variations of the synthesized material. This generation of many molecular structures with reasonable quality,</div><div>that resemble an existing (chemical) purposeful material, is needed for high-throughput screening purposes in</div><div>material design. Large databases of geometry and chemical properties of transition metal complexes are not</div><div>readily available, although these complexes are widely used in homogeneous catalysis. A Python-based workflow,</div><div>ChemSpaX, that is aimed at automating local chemical space exploration for any type of molecule, is introduced.</div><div>The overall computational workflow of ChemSpaX is explained in more detail. ChemSpaX uses 3D information,</div><div>to place functional groups on an input structure. For example, the input structure can be a catalyst for which one</div><div>wants to use high-throughput screening to investigate if the catalytic activity can be improved. The newly placed</div><div>substituents are optimized using a computationally cheap force-field optimization method. After placement of</div><div>new substituents, higher level optimizations using xTB or DFT instead of force-field optimization are also possible</div><div>in the current workflow. In representative applications of ChemSpaX, it is shown that the structures generated by</div><div>ChemSpaX have a reasonable quality for usage in high-throughput screening applications. Representative applications</div><div>of ChemSpaX are shown by investigating various adducts on functionalized Mn-based pincer complexes,</div><div>hydrogenation of Ru-based pincer complexes, functionalization of cobalt porphyrin complexes and functionalization</div><div>of a bipyridyl functionalized cobalt-porphyrin trapped in a M2L4 type cage complex. Descriptors such as</div><div>the Gibbs free energy of reaction and HOMO-LUMO gap, that can be used in data-driven design and discovery</div><div>of catalysts, were selected and studied in more detail for the selected use cases. The relatively fast GFN2-xTB</div><div>method was used to calculate these descriptors and a comparison was done against DFT calculated descriptors.</div><div>ChemSpaX is open-source and aims to bolster the efforts of the scientific community towards data-driven material</div><div>discovery.</div>

scholarly journals A Probabilistic Approach to Error Detection&Correction for Tree-Mapping Grammars

2018 ◽  
Vol 111 (1) ◽  
pp. 97-112
Author(s):  
Tim vor der Brück
Keyword(s):  
Error Detection ◽  
Basic Assumption ◽  
Probabilistic Approach ◽  
Large Set ◽  
Generation Process ◽  
Input Structure ◽  
Error Detection And Correction ◽  
Complete Failure ◽  
Automatic Error

Abstract Rule-based natural language generation denotes the process of converting a semantic input structure into a surface representation by means of a grammar. In the following, we assume that this grammar is handcrafted and not automatically created for instance by a deep neural network. Such a grammar might comprise of a large set of rules. A single error in these rules can already have a large impact on the quality of the generated sentences, potentially causing even a complete failure of the entire generation process. Searching for errors in these rules can be quite tedious and time-consuming due to potentially complex and recursive dependencies. This work proposes a statistical approach to recognizing errors and providing suggestions for correcting certain kinds of errors by cross-checking the grammar with the semantic input structure. The basic assumption is the correctness of the latter, which is usually a valid hypothesis due to the fact that these input structures are often automatically created. Our evaluation reveals that in many cases an automatic error detection and correction is indeed possible.

Sign in / Sign up

Export Citation Format

Share Document