A question central to modeling and, ultimately, managing food webs concerns the dimensionality of trophic niche space, that is, the number of independent traits relevant for determining consumer-resource links. Food-web topologies can often be interpreted by assuming resource traits to be specified by points along a line and each consumer’s diet to be given by resources contained in an interval...

Due to substantial effect of classification of resource models on future mine planning, one should come with an accurate method of estimation to guarantee that the minimum error is acquired in the estimation process. The known world class Cu-Mo deposit, Sarcheshmeh Porphyry deposit (central Iran) selected as the study area. The Hypogene zone of the deposit was chosen as the space in which estim...

Resource-constrained ubiquitous sensing devices suffer from the fundamental conflict between their limited hardware resources and the desire to continuously process all incoming sensory data. The data’s representation quality has an immediate impact on both aspects. This paper strives to enable resource-aware and resource-tunable inference systems, which are capable of operating in various trad...

We consider the problem of optimal planning in stochastic domains with resource constraints, where resources are continuous and the choice of action at each step may depend on the current resource level. Our principal contribution is the HAO* algorithm, a generalization of the AO* algorithm that performs search in a hybrid state space that is modeled using both discrete and continuous state var...

Workstation clusters are often not only used for high-throughput computing in time-sharing mode but also for running complex parallel jobs in space-sharing mode. This poses several difficulties to the resource management system, which must be able to reserve computing resources for exclusive use and also to determine an optimal process mapping for a given system topology. On the basis of our CC...

In recent decades, the demands of using computer to solve grand and challenging problems grow both in size and in complexity. Distributed and parallel computing is thus important. Enabling technologies in highspeed communication today have made PC-based clusters become a mainstream of parallel and distributed platforms for high-performance, high-throughput and high-availability computing. To en...

introduction of modern architecture in iran and its popularization in 1950s and after, brought some new concepts in everyday life of iranian women, among which was “kitchen as heart of home-life”. younger members of current generation are grown in these modernized spaces while a bit older ones have experienced houses of traditional style. this study is designed to explore what previous concept ...

In this paper, we proposed VeSC-CoL (Version Space Cardinality based Concept Learning) to deal with concept learning on extremely imbalanced datasets, especially when crossvalidation is not a viable option. VeSC-CoL uses version space cardinality as a measure for model quality to replace cross-validation. Instead of naive enumeration of the version space, Ordered Binary Decision Diagram and Boo...