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We present a new tighter security proof for unbounded hash tree keyless signature (timestamping) schemes that use Merkle-Damgⅹard (MD) hash functions with Preimage Aware (PrA) compression functions....
Although newly proposed, tree-based Oblivious RAM schemes are drastically more efficient than older techniques, they come with a significant drawback: an inherent dependence on a fixed-size database...
Cryptographic primitives based on infinite families of progressively weaker assumptions have been proposed by Hofheinz–Kiltz and by Shacham (the n-Linear assumptions) and by Escala et al. (the Matri...
A new feature-level fusion is presented for modelling individual trees by applying watershed segmentation and subsequent classification, using tree heights and tree crown signatures derived from light...
It is important to explore the ability of Bidirectional Reflectance Distribution Function (BRDF) to improve classification accuracy using MODerate Resolution Imaging Spectroradiometer (MODIS) BRDF and...
A lot of wetlands exist in the Yellow River Delta area, Shandong China and exhibit significance for the delta ecological environmental evolution and animal habitat protection. It is important for wetl...
Cloud brokers have been recently introduced as an additional computational layer to facilitate cloud selection and service management tasks for cloud consumers. However, existing brokerage schemes on...
Forest type maps play a significant role in sustainable forest management. For many years aerial photos and satellite data were a primary data source supporting forest type mapping. Recent development...
This study was conducted to investigate variations of leaf chlorophyll content and surface spectral reflectance of different tree species (Daphniphyllum glaucescens、Michelia formosana、Illicium dunnian...
The influence of storage time on a range of quality parameters, in vitro antioxidant activity, and the sensory acceptability of fully ripe strawberry tree fruits packaged into polypropylene trays un...
Light Detection And Ranging (LiDAR), is a system of laser detection and distance measurement installed on aircraft or satellites. Because of its high angular resolution, high range resolution and anti...
This study presents a methodology for derivation of fractional canopy cover, detection of main tree species, and extraction of forest stands using logistic regression, airborne remote sensing data and...
The aim of this study was to compare percent tree cover products of Envisat MERIS and MODIS data of Seyhan River Basin at the Eastern Mediterranean Region of Turkey. In this study, Regression Tree (RT...
This paper examines the applicability of binary decision tree (DT) classifier and ASTER data for the monitoring of wetland vegetation at plant family level (eight dominant plant families in the study ...
The purpose of this project is the flood disaster prevention. Recently it has been happened frequent floods in the small and middle size rivers caused of the local heavy rainfalls in Japan. The Japane...

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