Switched reluctance motors (SRM) are attracting much attention because of their special advantages. Generated heat, due to losses, can reduce the life time of SRMs. Therefore, taking into account thermal modeling helps to improve their performance and increase their life time. In this paper, a lumped thermal model of SRM based on the analogue circuit of conductive and convective thermal resista...

Solar Radiation Management (SRM) has two characteristics that make it an attractive means for managing climate risk: it is quick and it is cheap. SRM cannot, however, exactly offset CO2-driven climate change, and its use introduces novel climate and environmental risks. We introduce SRM in a simple economic model of climate change that is designed to explore the interaction between uncertainty ...

In the presented paper, a sensorless driver circuit is designed, constructed and tested to control two types of three-phase Switched Reluctance Motor (SRM). The presented control algorithm has three steps. In the first step, the SRM is controlled by an open-loop method. In the second step, mathematical model of the SRM phase, motor parameters and flux-current-rotor position relation are used in...

The problem of distinguishing density-independent (DI) from density-dependent (DD) demographic time series is important for understanding the mechanisms that regulate populations of animals and plants. We address this problem in a novel way by means of Statistical Learning Theory (SLT); SLT is built around the idea of VC-dimension, a complexity index for classes of parameterized functions. Thou...

Article history: Received: 5.1.2016. Received in revised form: 15.3.2016. Accepted: 15.3.2016. With finite element method (FEM) using ANSYS finite element (FE) package, an electromagneticstructural simulation model is introduced for the switched reluctance motor (SRM). Since the main reason of noise and vibration in the SRM is a radial force applied to stator poles, the 2D FE transient analysis...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

Structural changes and increasing market dynamics in the healthcare sector intensify the hospitals’ need for cost-savings and process optimisation. One source to generate not only short-term savings, but also sustainable benefits is the active and sophisticated management of relationships with suppliers, commonly referred to as supplier relationship management (SRM). As material cost continuous...

A catalogue record of this book is available from the British Library ISBN 0 521 81384 0 hardback ISBN 0 521 89079 9 paperback Contents Preface page xi Acknowledgments xiv 1 Introduction 1 1.1 Elements of neuronal systems 1 1.1.1 The ideal spiking neuron 2 1.1.2 Spike trains 3 1.1.3 Synapses 4 1.2 Elements of neuronal dynamics 4 1.2.1 Postsynaptic potentials 6 1.2.2 Firing threshold and action ...

BACKGROUND Discovery and validation of protein biomarkers with high specificity is the main challenge of current proteomics studies. Different mass spectrometry models are used as shotgun tools for the discovery of biomarkers. Validation of a set of selected biomarkers from a list of candidates is an important stage in the biomarker identification pipeline. Validation is typically done by tripl...

As opposed to trees that use a single type of decision node, an omnivariate decision tree contains nodes of different types. We propose to use Structural Risk Minimization (SRM) to choose between node types in omnivariate decision tree construction to match the complexity of a node to the complexity of the data reaching that node. In order to apply SRM for model selection, one needs the VC-dime...