2,127 research outputs found

    Detection of human face from sketches using deep learning networks

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    In the law and enforcement, sketching is a common technique to record witnesses’ version of perceived suspects. Then these sketches are employed to identify the correct persons from a photo database, which will be a time consuming task if not impossible for a human being. This work investigates the application of artificial techniques (AI), specifically, the recent state of the art deep learning techniques to identify people based on their sketches for law and enforcement. The dataset is collected from Chinese database (CUHK student dataset) that includes both photos and their corresponding sketches. The sketches are drawn by artists. The deep learning network is Siamese network, which uses Python programming language. Since the data base contains only less than 200 photos, data enlargement is also conducted to generate sketch images from face images, which generates another 500 pairs of images. As a result, the Siamese network achieved 96% accuracy when retrieving photos from sketch images. Future work include further enlarging the database and evaluating other deep learning architectures

    Pore size engineering applied to starved electrochemical cells and batteries

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    To maximize performance in starved, multiplate cells, the cell design should rely on techniques which widen the volume tolerance characteristics. These involve engineering capillary pressure differences between the components of an electrochemical cell and using these forces to promote redistribution of electrolyte to the desired optimum values. This can be implemented in practice by prescribing pore size distributions for porous back-up plates, reservoirs, and electrodes. In addition, electrolyte volume management can be controlled by incorporating different pore size distributions into the separator. In a nickel/hydrogen cell, the separator must contain pores similar in size to the small pores of both the nickel and hydrogen electrodes in order to maintain an optimum conductive path for the electrolyte. The pore size distributions of all components should overlap in such a way as to prevent drying of the separator and/or flooding of the hydrogen electrode

    Electrolyte management in porous battery components. Static measurements

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    The interaction between the porous hydrogen and nickel electrodes and microporous separator with respect to electrolyte management in nickel/hydrogen cells has been investigated. The distribution of electrolyte among the components has been measured and correlated with the pore size distributions, total void volume, and resistance of a variety of electrodes and separators. Calculations are used to show the effects of systematically varying these properties

    Pore size engineering applied to the design of separators for nickel-hydrogen cells and batteries

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    Pore size engineering in starved alkaline multiplate cells involves adopting techniques to widen the volume tolerance of individual cells. Separators with appropriate pore size distributions and wettability characteristics (capillary pressure considerations) to have wider volume tolerances and an ability to resist dimensional changes in the electrodes were designed. The separators studied for potential use in nickel-hydrogen cells consist of polymeric membranes as well as inorganic microporous mats. In addition to standard measurements, the resistance and distribution of electrolyte as a function of total cell electrolyte content were determined. New composite separators consisting of fibers, particles and/or binders deposited on Zircar cloth were developed in order to engineer the proper capillary pressure characteristics in the separator. These asymmetric separators were prepared from a variety of fibers, particles and binders

    Waive FMLA Claims and Wave Goodbye to Statutory Protection: Allowing Employees to Waive the Right to Sue Takes the Teeth Out of the Family and Medical Leave Act

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    This Comment argues that in order to fulfill the purposes of the Family and Medical Leave Act, courts should adopt a per se rule barring employer-employee agreements in which employees waive their right to pursue a claim alleging an FMLA violation

    Mind[set]fulness: How Can I Control My Brain?

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    This unit aims to support students and teachers in developing a better understanding of growth mindset. While previous understandings of the brain posited that it was a static device with a fixed capacity for learning, growth, and talent, newer findings suggest that this is not the case. When faced with new challenges, learning opportunities, and even failures, the brain will forge new neural pathways. This unit explores the concept of neuroplasticity, the malleability of the brain, and explicit instruction on what power we have to rewire our thinking and behavior patterns. This unit also explores mindfulness as one such practice that can help students analyze and regulate their emotions and their response to stress
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