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While taking a fashion technology course under the instruction of Galina Mihaleva, I developed a tracksuit incorporating concealed LED displays that are capable of scrolling customizable text on the sides of the garment. I expanded on this futuristic execution of politically charged clothes by utilizing a more realistic application of the LED technology in the Bouis Vuitton project. This project is a collection of six white vinyl bags with semi-flexible LED displays projecting revolutionary slogans through the vinyl textile.
The bags act as an appropriate housing for technology that is intended for significantly longer use, as bags have a longer lifespan in wardrobes than clothes and return to trend more frequently. The production investment in the technology is more equitable to the investment in the production of a bag and facilitates the wearer’s broadcasting of concise messages. The result is a collection of functional, utilitarian pieces with a clean, futuristic look and a mixed modern and vintage silhouette scrolling pro-revolutionary messages.
Broadcasting the knock-off name ‘BOUIS VUITTON’, I’ve inserted only my first initial into the reputable luxury company and paired it with slogans: ‘EAT THE RICH’ and ‘HEADS WILL ROLL’. The collection articulates a sense of nihilism felt by the youngest generations growing up on the outside of a very exclusive economic and political sphere. Three upcycled vintage luggage pieces evoke associations with the white American upper-class society of the 1960s. The luggage pieces were retrofitted in white vinyl and white-enameled metal fixtures. Three additional soft bags made of the same material reflect a utilitarian style of functional bags on trend with Spring/Summer 2019 streetwear. For the runway presentation of the bags, the models are dressed in navy-colored Dickies boiler suits, white retro-style Fila sneakers, and white ascots reminiscent of the historical male ruffled cravat. The contradictions of iconic silhouettes from both upper and lower-class American fashion history further the juxtaposition of anti-capitalist slogans posted on luxury goods.
Bouis Vuitton: Bags for the Revolution is intended to embody an unapologetic disregard for established wealth and political power in the most public of venues: the sidewalk, the mall, the high and the low-income neighborhoods – wherever people are wearing clothes. Fashion is the modern protest that requires no permit, and the new poster is a luxury bag.
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Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval
Fruit fly embryogenesis is one of the best understood animal development systems, and the spatiotemporal gene expression dynamics in this process are captured by digital images. Analysis of these high-throughput images will provide novel insights into the functions, interactions, and networks of animal genes governing development. To facilitate comparative analysis, web-based interfaces have been developed to conduct image retrieval based on body part keywords and images. Currently, the keyword annotation of spatiotemporal gene expression patterns is conducted manually. However, this manual practice does not scale with the continuously expanding collection of images. In addition, existing image retrieval systems based on the expression patterns may be made more accurate using keywords.
Results
In this article, we adapt advanced data mining and computer vision techniques to address the key challenges in annotating and retrieving fruit fly gene expression pattern images. To boost the performance of image annotation and retrieval, we propose representations integrating spatial information and sparse features, overcoming the limitations of prior schemes.
Conclusions
We perform systematic experimental studies to evaluate the proposed schemes in comparison with current methods. Experimental results indicate that the integration of spatial information and sparse features lead to consistent performance improvement in image annotation, while for the task of retrieval, sparse features alone yields better results.
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In this paper, we present a Bayesian analysis for the Weibull proportional hazard (PH) model used in step-stress accelerated life testings. The key mathematical and graphical difference between the Weibull cumulative exposure (CE) model and the PH model is illustrated. Compared with the CE model, the PH model provides more flexibility in fitting step-stress testing data and has the attractive mathematical properties of being desirable in the Bayesian framework. A Markov chain Monte Carlo algorithm with adaptive rejection sampling technique is used for posterior inference. We demonstrate the performance of this method on both simulated and real datasets.
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We describe mechanical metamaterials created by folding flat sheets in the tradition of origami, the art of paper folding, and study them in terms of their basic geometric and stiffness properties, as well as load bearing capability. A periodic Miura-ori pattern and a non-periodic Ron Resch pattern were studied. Unexceptional coexistence of positive and negative Poisson's ratio was reported for Miura-ori pattern, which are consistent with the interesting shear behavior and infinity bulk modulus of the same pattern. Unusually strong load bearing capability of the Ron Resch pattern was found and attributed to the unique way of folding. This work paves the way to the study of intriguing properties of origami structures as mechanical metamaterials.
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Extreme events, a type of collective behavior in complex networked dynamical systems, often can have catastrophic consequences. To develop effective strategies to control extreme events is of fundamental importance and practical interest. Utilizing transportation dynamics on complex networks as a prototypical setting, we find that making the network “mobile” can effectively suppress extreme events. A striking, resonance-like phenomenon is uncovered, where an optimal degree of mobility exists for which the probability of extreme events is minimized. We derive an analytic theory to understand the mechanism of control at a detailed and quantitative level, and validate the theory numerically. Implications of our finding to current areas such as cybersecurity are discussed.