MUCKE aims to mine a large volume of images, to structure them conceptually and to use this conceptual structuring in order to improve large-scale image retrieval. The last decade witnessed important progress concerning low-level image representations. However, there are a number problems which need to be solved in order to unleash the full potential of image mining in applications. The central problem with low-level representations is the mismatch between them and the human interpretation of image content. This problem can be instantiated, for instance, by the incapability of existing descriptors to capture spatial relationships between the concepts represented or by their incapability to convey an explanation of why two images are similar in a content-based image retrieval framework. We start by assessing existing local descriptors for image classification and by proposing to use co-occurrence matrices to better capture spatial relationships in images. The main focus in MUCKE is on cleaning large scale Web image corpora and on proposing image representations which are closer to the human interpretation of images. Consequently, we introduce methods which tackle these two problems and compare results to state of the art methods. Note: some aspects of this deliverable are withheld at this time as they are pending review. Please contact the authors for a preview.

http://ieeexplore.ieee.org/iel2/4524/12820/00592460.pdf

Image Processing

This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

Solar radiation on inclined surfaces: Corrections and benchmarks

The 7 habits of highly effective people : signature series

Hydropower is a major energy source among the renewable energy sources. According to “BP Statistical Review of World Energy, June 2013”, 16.34 percentage of global power generation acquire from hydropower. To attain efficient generation in hydro plant, extensive design with the up to date technology is mandatory. To make the generation more effective various technologies are adopted, among these the very effective one is power electronics (PE) technology. The paper has reviewed the challenges in how PE technology fits in as the solution for various hydroelectric energy systems (HEES). The PE technology is adapted efficiently in various parts of HEES like, grid integration, machine control, switching (pumping mode to generating mode and vice versa), power control, voltage and frequency control, power factor correction, etc., The advancement of PE technology diminishes the cost and space of the plant and enhances the power handling capability. The paper emergence the outstanding features of power electronics in various aspects that will extensively contribute to the development of HEES around the world. In addition, PE contribution satisfies the need of reliability, dynamic response, efficiency, protection, etc., in HEES.

Power electronics in hydro electric energy systems – A review

Assessing Risk Factors in Collaborative Supply Chain with the Analytic Hierarchy Process (AHP)

Adaptive control system for continuous steel casting based on neural networks and fuzzy logic

/pdf/risk-variables-in-wind-power-supply-chain-375ka1miao.pdf

Risk Variables in Wind Power Supply Chain

In the classification of fruits and vegetables, colour is one of the most important parameter that allows for the evaluation of their degree of maturity and freshness, and existence of faults. Also, colour along with its level of homogeneity influences the degree of acceptance of consumers, as well as the pricing. Qualitative sorting is usually performed by trained inspectors. This type of evaluation is rather expensive and is determined by operators' inconsistency and subjectivity. Machine vision technology offers objective solutions for all these problems and it is considered to be a promise for replacing the traditional human inspection methods. This paper introduces and discusses several techniques of analysing the colour of produces, based on image processing. An automatic video-inspection system was conceived, designed and realised, and it was employed for testing these techniques. The details regarding its design and the conclusions resulted from these experiments are presented here, as well.

Techniques of Analysing the Colour of Produces for Automatic Classification

In this paper, the performance of variable speed wind turbine concept with cage rotor induction generator connected to the grid is investigated Variable-speed wind turbine generator system has been modeled and simulated to study their steady state and dynamic behavior A cage rotor induction machine of 11 kW rating with a vector controlled back-to-back PWM-VSI inverter on the stator side have been tested and the results compared with digital simulations The cage rotor induction machine allows good speed range and it should be used in low-power variable-speed systems, replacing the classical direct grid connected fixed speed wind generator systems Its capacity to deliver reactive power is remarkable

Gabriela Prostean

Papers

Assessing Risk Factors in Collaborative Supply Chain with the Analytic Hierarchy Process (AHP)

Adaptive control system for continuous steel casting based on neural networks and fuzzy logic

Risk Variables in Wind Power Supply Chain

Techniques of Analysing the Colour of Produces for Automatic Classification

Variable Speed Wind Turbines Using Cage Rotor Induction Generators Connected to the Grid