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Plenty of researches have been presented to combine satellite remote sensing observations with ground-level air quality monitoring sites measurements together to accomplish spatially continuous observation of air pollutant, such as using Aerosol Optical Depth (AOD) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) and ground observed fine particulate matter (PM2.5) to estimate the...
For distribution network with a large number of distributed generation, the output fluctuation of distributed power sources and load variation will cause voltage over-limit. Aiming at AC voltage control of AC/DC hybrid distribution network, this paper proposes the hierarchical voltage control framework. Based on bus voltage level, we construct typical scenes while the voltage is normal, mild over-limit...
This paper proposes a two-step spatio-temporal fusion model (TSTFM) for generating synthetic satellite remote sensing images with high-spatial and high-temporal resolution (HSaHTeR) based on one pair of prior images, which contain one low-spatial but high-temporal resolution (LSaHTeR) image and one high-spatial but low-temporal resolution (HSaLTeR) image. Considering both phenology and type surface...
Cryptocercus is a genus of sub-social wood-feeding cockroaches that represents the sister group to the eusocial termites. We generated mitochondrial (12S+16S rRNA, COII), nuclear (28S rRNA) and Blattbacterium endosymbiont (16S+23S rRNA) sequence data for 8 new Chinese species, and combined these with previously available data to undertake the most extensive analysis of phylogenetic relationships within...
The spatial consistency of low-resolution multi-source remote sensing data is of great importance for their combination in global change research. Currently, many methods are developed for the precise geometric correction of single kind of low-resolution data. However, the spatial consistency correction method is still need to be developed when many different kinds of low-resolution sensors' data...
Multistage optimization problems are common occurrence in the economic literature. Scenario aggregation method is a widely used in solving dynamic programming problems. It is adopted as an alternative to describe the decision making process of an optimizing agent in economic models. Decisions made by scenario aggregation provide more accuracy and less risk in multistage stochastic optimization than...
Based on 96 completed surveys from logistics customers, the author conducted a analysis between customer loyalty and logistics cost in evaluating the service quality attributes. It was found that the top gaps were all related to the functional quality (friendly interactions between customers, and logistics firms), not technical quality (e.g., the extra services provided, better price, or preferred...
The study on the development of guidelines to select appropriate strategies and to improve the performance when given a particular strategy became a critical question in supply chain management (SCM) focused by scholars. To achieve this objective, this research aims to found a simulation test bed in the SCM, which can enhance SCM capability to model diverse supply chain scenarios realistically. By...
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