Large companies are increasingly providing their services over interdomain data centers. Such large-scale wireless communication networks carry various applications, including both online time-sensitive and offline bandwidth-sensitive services. These applications share the same physical links but have different bandwidth requirements at time, making coscheduling problem a key challenge in impro...

This article discusses different statistical methods to compare the predictions (in form of time series) urban-scale building energy models. It focuses on intermodel comparison without empirical measurements as a reference case. is thus suggested build series point-to-point mean average all models be compared (ensemble methods). Different metrics found in literature are then reviewed and tested...

Globalization can have substantial impact on local commons by reducing sustainability of ecosystems and their vital services. Without effective local institutions, these resources are at high risk of exploitation, especially to feed global markets. This study proposes a multiscale ecosystem framework (MEF) that incorporates information on ecosystem components, socioeconomic processes, and their...

In this paper, a distributed approach is developed for achieving large-scale classifier training and image classification. First, a visual concept network is constructed for determining the inter-related learning tasks automatically, e.g., the inter-related classifiers for the visually similar object classes in the same group should be trained in parallel by using multiple machines to enhance t...

In this paper, a novel embedded wavelet image compression algorithm, NEFZW (Novel Embedded Full Zerotree Wavelet) algorithm is proposed. The relationship of the intra scale subbands is exposed by the statistical experiments on various test images. Since “zerotree” indicates specially the inter scale relationship in EZW, the concept of full zerotree is proposed which includes both the relationsh...