On-line diagnostics of transformer winding insulation failures, by Park`s vector approach

This paper presents a non-invasive approach for diagnosing winding insulation failures in three-phase transformers, which is based on the on-line monitoring of the primary and secondary current Park's Vector. Experimental and simulated results demonstrate the effectiveness of the proposed technique, for detecting winding inter-turn insulation faults in operating three-phase transformers.

Object categorisations using templates constructed from multi-scale line and edge representations

Object categorisation is linked to detection, segregation and recognition. In the visual system, these processes are achieved in the ventral \what"and dorsal \where"pathways [3], with bottom-up feature extractions in areas V1, V2, V4 and IT (what) in parallel with top-down attention from PP via MT to V2 and V1 (where). The latter is steered by object templates in memory, i.e. in prefrontal cortex with a what component in PF46v and a where component in PF46d.

Face segregation and recognition by cortical multi-scale line and edge coding

Models of visual perception are based on image representations in cortical area V1 and higher areas which contain many cell layers for feature extraction. Basic simple, complex and end-stopped cells provide input for line, edge and keypoint detection. In this paper we present an improved method for multi-scale line/edge detection based on simple and complex cells. We illustrate the line/edge representation for object reconstruction, and we present models for multi-scale face (object) segregation and recognition that can be embedded into feedforward dorsal and ventral data streams (the “what” and “where” subsystems) with feedback streams from higher areas for obtaining translation, rotation and scale invariance.

Face recognition by cortical multi-scale line and edge representations

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extraction. Simple, complex and end-stopped cells provide input for line, edge and keypoint detection. Detected events provide a rich, multi-scale object representation, and this representation can be stored in memory in order to identify objects. In this paper, the above context is applied to face recognition. The multi-scale line/edge representation is explored in conjunction with keypoint-based saliency maps for Focus-of-Attention. Recognition rates of up to 96% were achieved by combining frontal and 3/4 views, and recognition was quite robust against partial occlusions.

Improved line/edge detection and visual reconstruction

Lines and edges provide important information for object categorization and recognition. In addition, one brightness model is based on a symbolic interpretation of the cortical multi-scale line/edge representation. In this paper we present an improved scheme for line/edge extraction from simple and complex cells and we illustrate the multi-scale representation. This representation can be used for visual reconstruction, but also for nonphotorealistic rendering. Together with keypoints and a new model of disparity estimation, a 3D wireframe representation of e.g. faces can be obtained in the future.

Cortical object segregation and categorization by multi-scale line and edge coding

In this paper we present an improved scheme for line and edge detection in cortical area V1, based on responses of simple and complex cells, truly multi-scale with no free parameters. We illustrate the multi-scale representation for visual reconstruction, and show how object segregation can be achieved with coarse-to-finescale groupings. A two-level object categorization scenario is tested in which pre-categorization is based on coarse scales only, and final categorization on coarse plus fine scales. Processing schemes are discussed in the framework of a complete cortical architecture.

Recognition of facial expressions by cortical multi-scale line and edge coding

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extraction. Simple, complex and end-stopped cells provide input for line, edge and keypoint detection. Detected events provide a rich, multi-scale object representation, and this representation can be stored in memory in order to identify objects. In this paper, the above context is applied to face recognition. The multi-scale line/edge representation is explored in conjunction with keypoint-based saliency maps for Focus-of-Attention. Recognition rates of up to 96% were achieved by combining frontal and 3/4 views, and recognition was quite robust against partial occlusions.

A disparity energy model improved by line, edge and keypoint correspondences

Disparity energy models (DEMs) estimate local depth information on the basis ofVl complex cells. Our recent DEM (Martins et al, 2011 ISSPlT261-266) employs a population code. Once the population's cells have been trained with randorn-dot stereograms, it is applied at all retinotopic positions in the visual field. Despite producing good results in textured regions, the model needs to be made more precise, especially at depth transitions.

Fast line, arc/circle and leg detection from laser scan data in a player driver

A feature detection system has been developed for real-time identification of lines, circles and people legs from laser range data. A new method sutable for arc/circle detection is proposed: the Inscribed Angle Variance (IAV). Lines are detected using a recursive line fitting method.

Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems

The problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.

On-line adaptation of neural network

The Proportional Integral and Devirative (PID) controller autotuning is an important problem, both in practical and theoretical terms. The autotuning procedure must take place in real-time, and therefore the corresponding optimisation procedure must also be executed in real-time and without disturbing on-line control.

Reinventing America on the battlefields of Spain or following the party line: conflicting perceptions of the Spanish Civil War in the present and in the past

Isolationism and neutrality are two of the recurrent themes in the study of the history of the U.S. foreign policy in the interwar years. The trauma of the Great War, which had swept away 130.000 U.S. lives and had cost $30 billion, had led public opinion to strongly oppose any involvement with European affairs. Besides, the urgent need for economic recovery during the dismal years of the Great Depression did not leave Roosevelt much room for manoeuvre to influence international events. His positions regarding the intentions of the Fascist states remained, at best, ambivalent. These facts notwithstanding, about 2800 U.S. citizens crossed the Atlantic and rushed in to help democratic Spain, which was on the verge of becoming one more hostage in the hands of the Fascism. They joined the other British, Irish and Canadian volunteers and formed the XV International Brigade. 900 Americans never returned home. This alone should challenge the commonly held assumption that the American people were indifferent to the rise of the Fascist threat in Europe. But it also begs other questions. Considering the prevailing isolationist mood, what really motivated them? With what discursive elements did these men construct their anti Fascist representations? How far did their understanding of the Spanish democracy correspond to their own American democratic ideal? In what way did their war experience across the Atlantic mould their perception of U.S. politics (both domestic and foreign)? How far did the Spanish Civil War constitute one first step towards the realization that the U.S. might actually be drawn into another international conflict of unpredictable consequences? Last but not the least, what ideological, political and cultural complicity existed between the men from the English-speaking battalions? In order to unearth some of the answers, I intend to examine their letters and see how these men recorded the historical events in which they took part. Their correspondence emerged from the desire to prove their commitment to a common cause and spoke of a common war experience, but each letter, in its uniqueness, ends up mirroring not only the social and political background of each individual fighter, but also his own particular perspective of the war, of world politics and of the Spanish people. We shall see how these letters differ and converge and how these particular accounts weave, as in an epistolary novel, a larger-than-life narrative of outrage and solidarity, despair and hope.

On-line operation of an intelligent seismic detector

This study describes the on-line operation of a seismic detection system to act at the level of a seismic station providing similar role to that of a STA /LTA ratio-based detection algorithms. The intelligent detector is a Support Vector Machine (SVM), trained with data consisting of 2903 patterns extracted from records of the PVAQ station, one of the seismographic network's stations of the Institute of Meteorology of Portugal (IM). Records' spectral variations in time and characteristics were reflected in the SVM input patterns, as a set of values of power spectral density at selected frequencies. To ensure that all patterns of the sample data were within the range of variation of the training set, we used an algorithm to separate the universe of data by hyper-convex polyhedrons, determining in this manner a set of patterns that have a mandatory part of the training set. Additionally, an active learning strategy was conducted, by iteratively incorporating poorly classified cases in the training set. After having been trained, the proposed system was experimented in continuous operation for unseen (out of sample) data, and the SVM detector obtained 97.7% and 98.7% of sensitivity and selectivity, respectively. The same type of ANN presented 88.4 % and 99.4% of sensitivity and selectivity when applied to data of a different seismic station of IM. © 2013 Springer-Verlag Berlin Heidelberg.

Development of a Piggybac based direct reprogramming system for derivation of integration free induced pluripotent stem cells

Induced pluripotent stem cells (iPSc) have great potential for applications in regenerative medicine, disease modeling and basic research. Several methods have been developed for their derivation. The original method of Takahashi and Yamanaka involved the use of retroviral vectors which result in insertional mutagenesis, presence in the genome of potential oncogenes and effects of residual transgene expression on differentiation bias of each particular iPSc line. Other methods have been developed, using different viral vectors (adenovirus and Sendai virus), transient plasmid transfection, mRNA transduction, protein transduction and use of small molecules. However, these methods suffer from low efficiencies; can be extremely labor intensive, or both. An additional method makes use of the piggybac transposon, which has the advantage of inserting its payload into the host genome and being perfectly excised upon re-expression of the transposon transposase. Briefly, a policistronic cassette expressing Oct4, Sox2, Klf4 and C-Myc flanked by piggybac terminal repeats is delivered to the cells along with a plasmid transiently expressing piggybac transposase. Once reprogramming occurs, the cells are re-transfected with transposase and subclones free of tranposon integrations screened for. The procedure is therefore very labor intensive, requiring multiple manipulations and successive rounds of cloning and screening. The original method for reprogramming with the the PiggyBac transposon was created by Woltjen et al in 2009 (schematized here) and describes a process with which it is possible to obtain insert-free iPSc. Insert-free iPSc enables the establishment of better cellular models of iPS and adds a new level of security to the use of these cells in regenerative medicine. Due to the fact that it was based on several low efficiency steps, the overall efficiency of the method is very low (<1%). Moreover, the stochastic transfection, integration, excision and the inexistence of an active way of selection leaves this method in need of extensive characterization and screening of the final clones. In this work we aime to develop a non-integrative iPSc derivation system in which integration and excision of the transgenes can be controlled by simple media manipulations, avoiding labor intensive and potentially mutagenic procedures. To reach our goal we developed a two vector system which is simultaneously delivered to original population of fibroblasts. The first vector, Remo I, carries the reprogramming cassette and GFP under the regulation of a constitutive promoter (CAG). The second vector, Eneas, carries the piggybac transposase associated with an estrogen receptor fragment (ERT2), regulated in a TET-OFF fashion, and its equivalent reverse trans-activator associated with a positive-negative selection cassette under a constitutive promoter. We tested its functionality in HEK 293T cells. The protocol is divided in two the following steps: 1) Obtaining acceptable transfection efficiency into human fibroblasts. 2) Testing the functionality of the construct 3) Determining the ideal concentration of DOX for repressing mPB-ERT2 expression 4) Determining the ideal concentration of TM for transposition into the genome 5) Determining the ideal Windows of no DOX/TM pulse for transposition into the genome 6) 3, 4 and 5) for transposition out of the genome 7) Determination of the ideal concentration of GCV for negative selection We successfully demonstrated that ENEAS behaved as expected in terms of DOX regulation of the expression of mPB-ERT2. We also demonstrated that by delivering the plasmid into 293T HEK cells and manipulating the levels of DOX and TM in the medium, we could obtain puromycin resistant lines. The number of puromycin resistant colonies obtained was significantly higher when DOX as absent, suggesting that the colonies resulted from transposition events. Presence of TM added an extra layer of regulation, albeit weaker. Our PCR analysis, while not a clean as would be desired, suggested that transposition was indeed occurring, although a background level of random integration could not be ruled out. Finally, our attempt to determine whether we could use GVC to select clones that had successfully mobilized PB out of the genome was unsuccessful. Unexpectedly, 293T HEK cells that had been transfected with ENEAS and selected for puromycin resistance were insensitive to GCV.