Epidermal systems and virtual reality: Emerging disruptive technology for military applications

This review study, presented at the 2nd World Conference on Advanced Materials for Defense (AuxDefense 2020), focuses on skin as sensory interface and explores the latest discoveries in bioelectronic science. The work analyzes at what extent invisibility is possible by emulating nature, and if military applications can really benefit from technology that combines epidermal systems and virtual reality — and from next generation of wearable textile computing technologies.info:eu-repo/semantics/acceptedVersio

Epidermal systems and virtual reality: Emerging disruptive technology for military applications

This review study, presented at the 2nd World Conference on Advanced Materials for Defense (AuxDefense 2020), focuses on skin as sensory interface and explores the latest discoveries in bioelectronic science. The work analyzes at what extent invisibility is possible by emulating nature, and if military applications can really benefit from technology that combines epidermal systems and virtual reality — and from next generation of wearable textile computing technologies.info:eu-repo/semantics/acceptedVersio

Quantification of cuttlefish (Sepia officinalis) camouflage : a study of color and luminance using in situ spectrometry

Author Posting. © The Author(s), 2012. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Journal of Comparative Physiology A 199 (2013): 211-225, doi:10.1007/s00359-012-0785-3.Cephalopods are renowned for their ability to adaptively camouflage on diverse backgrounds. Sepia officinalis camouflage body patterns have been characterized spectrally in the laboratory but not in the field due to the challenges of dynamic natural light fields and the difficulty of using spectrophotometric instruments underwater. To assess cuttlefish color match in their natural habitats, we studied the spectral properties of S. officinalis and their backgrounds on the Aegean coast of Turkey using point-by-point in situ spectrometry. Fifteen spectrometry datasets were collected from seven cuttlefish; radiance spectra from animal body components and surrounding substrates were measured at depths shallower than 5m. We quantified luminance and color contrast of cuttlefish components and background substrates in the eyes of hypothetical di- and trichromatic fish predators. Additionally, we converted radiance spectra to sRGB color space to simulate their in situ appearance to a human observer. Within the range of natural colors at our study site, cuttlefish closely matched the substrate spectra in a variety of body patterns. Theoretical calculations showed that this effect might be more pronounced at greater depths. We also showed that a non-biological method (“Spectral Angle Mapper”), commonly used for spectral shape similarity assessment in the field of remote sensing, shows moderate correlation to biological measures of color contrast. This performance is comparable to that of a traditional measure of spectral shape similarity, hue and chroma. This study is among the first to quantify color matching of camouflaged cuttlefish in the wild.This study was funded by ONR grant N000140610202 to RTH.2013-12-2

Understanding Visitor Experiences at the Pauline Gandel Children\u27s Gallery

The Pauline Gandel Children’s Gallery is a new exhibition at Melbourne Museum designed for the uniquely young age range of 0-5 year olds. The goal of this project was to help the museum understand the gallery’s current use and educational value. The team conducted a tracking and timing study, interviews, and observational studies to evaluate the popularity, holding power, and educational value of exhibits. Results showed that designers were successful in providing the unique age range with engaging learning experiences

Evolutionary Ecology: Insect Mothers Control Their Egg Colours

SummaryAnimal egg coloration has long provided a valuable testing ground for evolutionary ideas. A new study shows that female stink bugs can flexibly control the colour of their eggs depending on the prevailing conditions, including for protection from ultraviolet light

But also full of seeds for a future that could have turned out differently.

This thesis examines the relationship between illusion, allusion, and their relationship to contemporary images which announce, shield, or reference information. Beginning by discussing Casualist and Post-Digital Painting discourse, two styles I work within, we see connecting tissue in announcing and shielding of meaning. We look at the meaning of marks, and in the parallel exhibition, marks that utilize camouflage strategies appear as a metaphor for illuding to information which appears as conveying depth when there is none, and using paintings\u27 symbols in objects that are not paintings. The work \u27alludes\u27 to what the viewer has seen before and relies on semiotics to reference contemporary events and painting. Discovering the oscillating development of camouflage (that utilized paint, assemblage, and textiles), surveillance photography, and the screen, we see that the materials that make up this exhibition have an eerie tie to warfare, and thus we begin to look at the holographic textile, also appear- ing here, as a utopian object that did not evolve within military technology. The use of holographic textiles, then, becomes the ethical solution to critiquing illusion and allusion in contemporary images due to their lack of incorporating images of oppressed or victimized communities to profitize news organizations, as one example. This thesis uses the writing styles of philosophy, critical theory, and social sciences to discuss these findings above. Meaning, we will take a lengthy amount of time introducing the various literature that this thesis contributes to and so it may at times feel like three different areas of research. This is by design, as this document serves to conclude my Master of Fine Arts studies whilst benefiting my future studies in the Digital Humanities

MapReduce-iterative support vector machine classifier: novel fraud detection systems in healthcare insurance industry

Fraud in healthcare insurance claims is one of the significant research challenges that affect the growth of the healthcare services. The healthcare frauds are happening through subscribers, companies and the providers. The development of a decision support is to automate the claim data from service provider and to offset the patient’s challenges. In this paper, a novel hybridized big data and statistical machine learning technique, named MapReduce based iterative support vector machine (MR-ISVM) that provide a set of sophisticated steps for the automatic detection of fraudulent claims in the health insurance databases. The experimental results have proven that the MR-ISVM classifier outperforms better in classification and detection than other support vector machine (SVM) kernel classifiers. From the results, a positive impact seen in declining the computational time on processing the healthcare insurance claims without compromising the classification accuracy is achieved. The proposed MR-ISVM classifier achieves 87.73% accuracy than the linear (75.3%) and radial basis function (79.98%)