Charting Cartographies of Resistance: Line of Flight in Women Artists’ Narratives

In this paper I chart lines of flight in women artist’s narratives. In focusing on the complex interrelations between the social milieus of education and art, what I suggest is that they should be analysed as an assemblage where power relations and forces of desire are constantly at play in creating conditions of possibility for women to resist, imagine themselves becoming other and for new possibilities in their lives to be actualised. As a novel approach to social ontology the theory of assemblages offers an analytics of social complexity that accounts for open configurations, continuous connections and unstable hierarchies, structures and axes of difference. In reconsidering resistance as immanent in dispositifs of power and assemblages of desire, what I finally argue is that women artists’ narratives contribute to the constitution of minor knowledges and create archives of radical futurity.

The Trembling Line

The Trembling Line is a film and multi-channel sound installation exploring the visual and acoustic echoes between decipherable musical gestures and abstract patterning, orchestral swells and extreme high-speed slow-motion close-ups of strings and percussion. It features a score by Leo Grant and a newly devised multichannel audio system by the Institute of Sound and Vibration Research, University of Southampton. The multi-channel speaker array is devised as an intimate sound spatialisation system in which each element of sound can be pried apart and reconfigured, to create a dynamically disorienting sonic experience. It becomes the inside of a musical instrument, an acoustic envelope or cage of sorts, through which viewers are invited to experience the film and generate cross-sensory connections and counterpoints between the sound and the visuals. Funded by a Leverhulme Artist-in-Residence Award and John Hansard Gallery, with support from ISVR and the Music Department, University of Southampton. The project provided a rare opportunity to work creatively with new cutting edge developments in sound distribution devised by ISVR, devising a new speaker array, a multi- channel surround listening sphere which spatialises the auditory experience. The sphere is currently used by ISVR for outreach and teaching purposes, and has enables future collaborations between music staff and students at Southampton University and staff and ISVR. Exhibitions: Solo exhibition at John Hansard Gallery, Southampton (Dec 2015-Jan 2016), across 5 rooms, including a retrospective of five previous film-works and a new series of photographic stills. Public lectures: two within the gallery. Reviews and interviews: Art Monthly, Studio International, The Quietus, The Wire Magazine.

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.