Representation of chronotope in drama of aging (a case study of "Chasing Manet")

Inspired by Chekhov’s Swan Song the essay studies the topos of the nursing home in the context of literary gerontology. Tina Howe’s depiction of the institutional care in Chasing Manet reflects ambivalent sides of the stereotypical perception of the space: the one of the suffocating hopeless prison and unexpectedly another one of encouraging home. On the basis of works by S. de Beauvoir, M. Hepworth, J. King and U. Kriebernegg, the present study of nursing home in Chasing Manet identifies the fictional institution as the utopian model. The dramatic depiction of nursing home presupposes surreality. The archetypal literary criticism is used for interpretation of culmination and denouement of the comedy

Visual Privacy Protection Methods: A Survey

Recent advances in computer vision technologies have made possible the development of intelligent monitoring systems for video surveillance and ambient-assisted living. By using this technology, these systems are able to automatically interpret visual data from the environment and perform tasks that would have been unthinkable years ago. These achievements represent a radical improvement but they also suppose a new threat to individual’s privacy. The new capabilities of such systems give them the ability to collect and index a huge amount of private information about each individual. Next-generation systems have to solve this issue in order to obtain the users’ acceptance. Therefore, there is a need for mechanisms or tools to protect and preserve people’s privacy. This paper seeks to clarify how privacy can be protected in imagery data, so as a main contribution a comprehensive classification of the protection methods for visual privacy as well as an up-to-date review of them are provided. A survey of the existing privacy-aware intelligent monitoring systems and a valuable discussion of important aspects of visual privacy are also provided.This work has been partially supported by the Spanish Ministry of Science and Innovation under project “Sistema de visión para la monitorización de la actividad de la vida diaria en el hogar” (TIN2010-20510-C04-02) and by the European Commission under project “caring4U - A study on people activity in private spaces: towards a multisensor network that meets privacy requirements” (PIEF-GA-2010-274649). José Ramón Padilla López and Alexandros Andre Chaaraoui acknowledge financial support by the Conselleria d'Educació, Formació i Ocupació of the Generalitat Valenciana (fellowship ACIF/2012/064 and ACIF/2011/160 respectively)

The Citizen Observatory: Enabling Next Generation Citizen Science

Background: Citizen science offers an attractive paradigm for addressing some of the complex problems facing society. However, translating the paradigm\u27s potential into meaningful action and sustainable impact remains a formidable challenge. Historically, the citizen science landscape was fractured into silos of activities; nonetheless, it has demonstrably delivered credible results. An innovative concept of the Citizen Observatory offers a tractable means of mitigating many of the recurring issues that historically afflicted citizen science initiatives, thus empowering a new generation of citizen scientists. Citizen Observatories may be regarded as open, standardised software platforms for community-based monitoring of any phenomenon of interest. Objectives: This paper seeks to validate a Citizen Observatory in a traditional citizen science context, that of butterfly recording. Methods/Approach: A case study was undertaken in a UNESCO-designated Biosphere Reserve. Results: A community of citizen scientists successfully recorded various observations concerning butterflies, their feeding behaviours, and their habitat. The resultant dataset was made available to the local government environmental agency. Conclusions: The Citizen Observatory model offers a realistic basis for enabling more sustainable participatory science activities. Such developments have implications for non-government organisations, businesses, and local governments

"Small technology - big consequences" : building up the Dutch debate on nanotechnology from the bottom

The debate on nanotechnology within the Dutch community is of recent time, the last two years seeing it take off slowly but steadily. In this complex arena the Rathenau Institute has played a central role, collecting data, collating thinking, building up arguments, and organising interactive activities such as workshops, focus groups, meetings and newsletters. These all led to the first major public meeting on nanotechnology entitled "Small technology - Big consequences" held on 13 October 2004, and organised in collaboration with the parliamentary Theme Commission on Technology Policy. Nanotechnology in the Netherlands is receiving political attention. This article reviews various activities of the Rathenau Institute in the field of nanotechnology and highlights their results. It also seeks to give the reader insight into the (inter)national context in which the question of nanotechnology is being debated and the factors influencing current views on the subject

Learning from small and imbalanced dataset of images using generative adversarial neural networks.

The performance of deep learning models is unmatched by any other approach in supervised computer vision tasks such as image classification. However, training these models requires a lot of labeled data, which are not always available. Labelling a massive dataset is largely a manual and very demanding process. Thus, this problem has led to the development of techniques that bypass the need for labelling at scale. Despite this, existing techniques such as transfer learning, data augmentation and semi-supervised learning have not lived up to expectations. Some of these techniques do not account for other classification challenges, such as a class-imbalance problem. Thus, these techniques mostly underperform when compared with fully supervised approaches. In this thesis, we propose new methods to train a deep model on image classification with a limited number of labeled examples. This was achieved by extending state-of-the-art generative adversarial networks with multiple fake classes and network switchers. These new features enabled us to train a classifier using large unlabeled data, while generating class specific samples. The proposed model is label agnostic and is suitable for different classification scenarios, ranging from weakly supervised to fully supervised settings. This was used to address classification challenges with limited labeled data and a class-imbalance problem. Extensive experiments were carried out on different benchmark datasets. Firstly, the proposed approach was used to train a classification model and our findings indicated that the proposed approach achieved better classification accuracies, especially when the number of labeled samples is small. Secondly, the proposed approach was able to generate high-quality samples from class-imbalance datasets. The samples' quality is evident in improved classification performances when generated samples were used in neutralising class-imbalance. The results are thoroughly analyzed and, overall, our method showed superior performances over popular resampling technique and the AC-GAN model. Finally, we successfully applied the proposed approach as a new augmentation technique to two challenging real-world problems: face with attributes and legacy engineering drawings. The results obtained demonstrate that the proposed approach is effective even in extreme cases

Appearance Modelling and Reconstruction for Navigation in Minimally Invasive Surgery

Minimally invasive surgery is playing an increasingly important role for patient care. Whilst its direct patient benefit in terms of reduced trauma, improved recovery and shortened hospitalisation has been well established, there is a sustained need for improved training of the existing procedures and the development of new smart instruments to tackle the issue of visualisation, ergonomic control, haptic and tactile feedback. For endoscopic intervention, the small field of view in the presence of a complex anatomy can easily introduce disorientation to the operator as the tortuous access pathway is not always easy to predict and control with standard endoscopes. Effective training through simulation devices, based on either virtual reality or mixed-reality simulators, can help to improve the spatial awareness, consistency and safety of these procedures. This thesis examines the use of endoscopic videos for both simulation and navigation purposes. More specifically, it addresses the challenging problem of how to build high-fidelity subject-specific simulation environments for improved training and skills assessment. Issues related to mesh parameterisation and texture blending are investigated. With the maturity of computer vision in terms of both 3D shape reconstruction and localisation and mapping, vision-based techniques have enjoyed significant interest in recent years for surgical navigation. The thesis also tackles the problem of how to use vision-based techniques for providing a detailed 3D map and dynamically expanded field of view to improve spatial awareness and avoid operator disorientation. The key advantage of this approach is that it does not require additional hardware, and thus introduces minimal interference to the existing surgical workflow. The derived 3D map can be effectively integrated with pre-operative data, allowing both global and local 3D navigation by taking into account tissue structural and appearance changes. Both simulation and laboratory-based experiments are conducted throughout this research to assess the practical value of the method proposed

Mediated Windows: The Use of Framing and Transparency in Designing for Presence

This paper explores the fusion of architecture and media technology that facilitates collaborative practices across spatial extensions: video-mediated spaces. The example presented is a mediated extension of the Museum of National Antiquities in Stockholm to a neighbouring park area and archaeological excavation site in 2008, referred to as a mediated window, or a glass-door. The concepts framing and transparency are used to outline the significance of windows and glazing in architecture and art. The author then considers the potential contribution of architecture in representing the passage from indoors to outdoors and designing for presence. Presence design assumes a contribution from architects to presence research, a currently diversified field, spanning media-space research, cognitive science, interaction design, ubiquitous computing, second-order cybernetics, and computer-supported collaborative work, but in which architecture and artistic practices are less represented. The paper thereby addresses the potential of an extended architectural practice, which incorporates the design of mediated spaces, and outlines presence design as a transdisciplinary practice in which presence research meets architectural design, and spatial and aesthetic conceptual tools, derived from related visual practices, may be productively applied