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Sheng Wang,Yanbing Lv,Ruili Wu,Lin Song Li,Huaibin Shen,Ming Xing,Xia Chen 대한화학회 2017 Bulletin of the Korean Chemical Society Vol.38 No.7
The high-quality green-emitting CdS0 . 5Se0 .5/8Zn1 − x Cd x S/2ZnS QDs with “8” and “2” monolayers (ML) of corresponding shell were first synthesized by “thermal-cycling coupled single precursor” (TC-SP) approach. The component-gradient Zn1− x Cd x S interlayer played a key role in the growth of thick shell by gradually buffering the large lattice mismatch (~9%) between the CdS0 . 5Se0 .5 core and ZnS shell. Moreover, the Zn1− x Cd x S gradient interlayer as well as ZnS outshell increased the potential barrier to prevent excitons from being trapped by surface defects. The photoluminescence quantum yields of the as-synthesized CdS0 . 5Se0 .5/8Zn1 − x Cd x S/2ZnS core/shell QDs can reach to 70% in organic media and still maintain 60% after aqueous phase transfer. The green-emitting CdS0 . 5Se0 .5/8Zn1 − x Cd x S/2ZnS core/shell QDs may be good candidates for applications of biomedical and photoelectric field.
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A New Parameter Estimation Method for a Zipf-like Distribution for Geospatial Data Access
Rui Li,Weifeng WU,Hao Wang,Huayi Wu 한국전자통신연구원 2014 ETRI Journal Vol.36 No.1
Many reports have shown that the access pattern forgeospatial tiles follows Zipf’s law and that its parameter αrepresents the access characteristics. However, visits togeospatial tiles have temporal and spatial popularities, andthe α-value changes as they change. We construct amathematical model to simulate the user’s access behaviorby studying the attributes of frequently visited tile objectsto determine parameter estimation algorithms. Becausethe least squares (LS) method in common use cannotobtain an exact α-value and does not provide a suitable fitto data for frequently visited tiles, we present a newapproach, which uses a moment method of estimation toobtain the value of α when α is close to 1. When α isfurther away from 1, the method uses the associated cachehit ratio for tile access and uses an LS method based on acritical cache size to estimate the value of α. The decreasein the estimation error is presented and discussed in thesection on experiment results. This new method, whichprovides a more accurate estimate of α than earliermethods, promises more effective prediction of requestsfor frequently accessed tiles for better caching and loadbalancing.
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