– In the paper, the problem of e-resource quality estimation is considered, from a didactic point of view. The first analysis was done on the basis of one of the teaching models known in traditional learning, the model of effective learning. As a result, the two subsets of measures sufficient for introductory e-resource quality estimation were determined: non-differentiating and differentiating...

An approach to constrained resource allocation for real time software components executing on nondeterministic hardware is considered. A model for resource consumption based on execution rate is investigated together with an eventbased measurement and parameter estimation scheme. Finally, an algorithm for real time constrained optimization of resources is presented together with results from a ...

A number of interrelated factors can affect the precision and accuracy of lung nodule size estimation. To quantify the effect of these factors, we have been conducting phantom CT studies using an anthropomorphic thoracic phantom containing a vasculature insert to which synthetic nodules were inserted or attached. Ten repeat scans were acquired on different multi-detector scanners, using several...

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

Massive multi-input multi-output (m-MIMO) and coordinated multipoint transmission (CoMP) are quite feasible techniques to improve the spectral efficiency in next generation wireless communication systems. It is of great concern to accurately estimate channel state information (CSI) of all base stations (BSs) involved in CoMP. Muting may be applied to improve the CSI estimation, which can reduce...

Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...

In this paper, we propose a method to estimate the most resource-consuming disease from electronic claim data based on Labeled Latent Dirichlet Allocation (Labeled LDA). The proposed method models each electronic claim from its medical procedures as a mixture of resourceconsuming diseases. Thus, the most resource-consuming disease can be automatically estimated by applying Labeled LDA to the el...

Real-time computation of data streams over affordable virtualized infrastructure resources is an important form of data in motion processing architecture. However, processing such data streams while ensuring strict guarantees on quality of services is problematic due to: (i) uncertain stream arrival pattern; (ii) need of processing different types of continuous queries; and (iii) variable resou...

An important means to guarantee an acceptable quality of service in networks with real-time communication requirements is the reservation of resources at connection setup time. However, such reserved resources, e.g. transmission bandwidth, may be unused as a consequence of the variations in the actual resource demands. Therefore, a more efficient resource utilization is possible if communicatin...