100 research outputs found

    Dynamical Representation of Frames in Tensor Product of Hardy Spaces

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    Dynamical Sampling of frames and tensor products are important topics in harmonic analysis. This paper combines the concepts of dynamical sampling of frames and the Carleson condition in the tensor product of Hardy spaces. Initially we discuss the preservation of the frame property under the tensor product on the Hilbert spaces. Then we discuss the iterative representation of frames in tensor product of Hardy spaces. The key ingredient of this paper is the so-called Carleson condition on the sequence {λk}k=1{γl}l=1\{ \lambda_k \}_{k=1}^{\infty} \otimes\{ \gamma_l \}_{l=1}^{\infty} in the open unit disc D1D2\mathbb{D}_1 \otimes \mathbb{D}_2. Our proof is motivated by the result of Shapiro and Shields

    Selection Methods in Poultry Breeding: From Genetics to Genomics

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    Scientific and technological advancements have led to great expansion of poultry sector in last few decades. The development of genetically superior stocks capable of higher production, even under adverse climatic conditions, has transformed poultry from rural farming to full-fledged industry within 30–35 years. Increase in production volume and productivity per bird may largely be attributed to the combined crossbred and purebred selection (CCPS). The superior purebred lines were evaluated for their nicking ability by specialized cross-breeding program, and the best nicking male and female lines were used for developing four-way commercial crosses. With advancement in molecular techniques, the DNA marker technology emerged as a finer tool for assessing the genetic variability. Genome-wide scan using microsatellites led to identification of quantitative trait loci (QTL) for their use in marker-assisted selection (MAS). Subsequently, the single nucleotide polymorphisms (SNPs) were discovered as third generation of genetic markers. Recent “next-generation sequencing” technique led to the development of high-density SNP arrays as powerful tool for genetic analysis. Predicting genomic estimate of breeding value (GEBV) of individual using SNPs across the whole genome paved way to conceptualization of “genomic selection” which emerged as the most advanced technology to revolutionize the animal production

    The poetry of Swami Vivekananda: An Exploration into the Romanticism

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    The present research paper focuses on the Romantic traits and tendencies in the poetry of Swami Vivekananda. Swami Vivekananda is the initial signature of poetry on the manuscript of Indian English literature. Generally applauded as the fiery orator in the world, his poetic introduction has almost been unnoticed by the critical pens. He is not a poet who compiles volume after volume but writes when he is overwhelmed by ‘the spontaneous overflow of powerful feelings’. His poetry is remarkable for various romantic traits. The portrayal of child, love to humanity, love for love’s sake, freedom, imagery and imagination are the echoes of Romanticism in his poetry.  He reminds us of Wordsworth, Coleridge, Shelley and Keats in his instincts and poetic tendencies. His poems, though countable on the finger-tips, are the sublime poetic pieces of artistic culmination. This paper also focuses on the similarities and dissimarities of his poetry with the great poets of the Romantic era

    AI Audit: A Card Game to Reflect on Everyday AI Systems

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    An essential element of K-12 AI literacy is educating learners about the ethical and societal implications of AI systems. Previous work in AI ethics literacy have developed curriculum and classroom activities that engage learners in reflecting on the ethical implications of AI systems and developing responsible AI. There is little work in using game-based learning methods in AI literacy. Games are known to be compelling media to teach children about complex STEM concepts. In this work, we developed a competitive card game for middle and high school students called "AI Audit" where they play as AI start-up founders building novel AI-powered technology. Players can challenge other players with potential harms of their technology or defend their own businesses by features that mitigate these harms. The game mechanics reward systems that are ethically developed or that take steps to mitigate potential harms. In this paper, we present the game design, teacher resources for classroom deployment and early playtesting results. We discuss our reflections about using games as teaching tools for AI literacy in K-12 classrooms

    Characterization of color cross-talk of CCD detectors and its influence in multispectral quantitative phase imaging

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    Multi-spectral quantitative phase imaging (QPI) is an emerging imaging modality for wavelength dependent studies of several biological and industrial specimens. Simultaneous multi-spectral QPI is generally performed with color CCD cameras. However, color CCD cameras are suffered from the color crosstalk issue, which needed to be explored. Here, we present a new approach for accurately measuring the color crosstalk of 2D area detectors, without needing prior information about camera specifications. Color crosstalk of two different cameras commonly used in QPI, single chip CCD (1-CCD) and three chip CCD (3-CCD), is systematically studied and compared using compact interference microscopy. The influence of color crosstalk on the fringe width and the visibility of the monochromatic constituents corresponding to three color channels of white light interferogram are studied both through simulations and experiments. It is observed that presence of color crosstalk changes the fringe width and visibility over the imaging field of view. This leads to an unwanted non-uniform background error in the multi-spectral phase imaging of the specimens. It is demonstrated that the color crosstalk of the detector is the key limiting factor for phase measurement accuracy of simultaneous multi-spectral QPI systems.Comment: 16 pages, 8 figure

    PHARMACOLOGICAL POTENTIAL OF POLYHERBAL AYURVEDIC FORMULATIONS – A REVIEW

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    Ayurveda is an ancient traditional medical care system. The major aim of Ayurveda is to prevent unnecessary suffering and aiding healthy long life. Ayurveda incorporates natural constituents to make potential medicines that are believed to eliminate the root cause of the diseases. Forty-five thousand plant species are found in the subcontinent of India making it one of the largest biodiversity centers. In India alone, 15,000 medicinal plant species have been reported out of which 7500 species are used by the communities to cure different diseases. Ayurveda uses single or polyherbal for treatment. In these traditional medicine systems, various formulations are prepared one of which is fermented formulations, namely, arishtas and asavas. These formulations are prepared using a decoction of herbal drugs and contain self-generated alcohol. Fermented formulations are known for their stability and efficacy. Indian traditional literature states the usage of these formulations regularly with scientific validation strengthens one immunity and well-being. The current review focuses on Vidangarishta. Punarnavasava, Chandanasava, their preparations, therapeutics uses, and their toxic effects. A thorough understating of these formulations aids in standardizing Ayurveda as a marginalized medicine

    Charcot’s Neuroarthropathy: A Case Report and Review of Literature

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    Charcot’s neuroarthropathy (CN) is a progressive disabling complication of diabetes mellitus, usually seen 10 years after diagnosis of diabetes. There is widespread destruction of affected joint and bones around it leading to severe deformity and loss of function. Its treatment may require multiple corrective surgeries or even amputation apart from application of cast, glycemic control and bisphosphonates. Here, we report such a case of CN, which was treated with multiple strategies aggressively to a good outcome

    Preserving Privacy In Image Database Through Bit-planes Obfuscation

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    The recent surge in computer vision applications has caused visual privacy concerns to people who are either users or exposed to an underlying surveillance system. To preserve their privacy, image obfuscation lays out a strong road through which the usability of images can also be maintained without revealing any visual private information. However, prior solutions are susceptible to reconstruction attacks or produce non-trainable images even by leveraging the obfuscation ways. This paper proposes a novel bit-planes-based image obfuscation scheme, called Bimof, to protect the visual privacy of the user in the images that are input into a recognition-based system. By incorporating the chaotic system for non-invertible noise with matrix decomposition, Bimof offers strong security and usability for creating a secure image database. In Bimof, it is hard for an adversary to recover the original image, withstanding a malicious server. We conduct experiments on two standard activity recognition datasets, UCF101 and HMDB51, to validate the effectiveness and usability of our scheme. We provide a rigorous quantitative security analysis through pixel frequency attacks and differential analysis to support our findings

    IMECE2005-81358 ELECTRICAL AND ELECTRONIC EQUIPMENT RECOVERY AND RECYCLING IN TURKEY

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    ABSTRACT Discarded electrical and electronic equipment contains valuable materials, low value parts, and hazardous substances
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