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Amit Singh

Bio: Amit Singh is an academic researcher from National Institute of Technology, Patna. The author has contributed to research in topics: Digital watermarking & Watermark. The author has an hindex of 57, co-authored 640 publications receiving 13795 citations. Previous affiliations of Amit Singh include Ithaca College & Center for Infectious Disease Research and Policy.


Papers
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Journal ArticleDOI
TL;DR: A comprehensive survey on data hiding techniques for smart healthcare applications is presented in this article, where the authors introduce various aspects of data hiding along with major properties, generic embedding and extraction process, and recent applications.
Abstract: Due to smart healthcare systems highly connected information and communications technologies, sensitive medical information and records are easily transmitted over the networks. However, stealing of healthcare data is increasing crime every day to greatly impact on financial loss. In order to this, researchers are developing various cost-effective bio-signal based data hiding techniques for smart healthcare applications. In this paper, we first introduce various aspects of data hiding along with major properties, generic embedding and extraction process, and recent applications. This survey provides a comprehensive survey on data hiding techniques, and their new trends for solving new challenges in real-world applications. Then, we survey the various notable bio-signal based data hiding techniques. The summary of some notable techniques in terms of their objective, type of data hiding, methodology and database used, performance metrics, important features, and limitations are also presented in tabular form. At the end, we discuss the major issues and research directions to explore the promising areas for future research.

7 citations

Journal ArticleDOI
TL;DR: The application of optimum dose of nitrogenous, phosphatic and potassic fertilizers along with some micro-nutrient viz, International Journal of Current Microbiology and Applied Sciences Volume 6 Number 10 (2017) pp. 3408-3414 is recommended for maximization of crop yield through their proper utilization.
Abstract: Cauliflower (Brassica oleracea L. var. botrytis) is a biannual and the herbaceous vegetable crop belongs to the family Cruciferae. It is one of the popular economically winter vegetables in India. Cauliflower thrives very well in a coolmoist climate and it does not withstand very low temperature or too much heat (Din et al., 2007). In India at present cauliflower is growing in almost all the states but mostly grown in Uttar Pradesh, Bihar and Karnataka. It is used as a cooked vegetable, as soups, pickles, drying and also curries etc. Cauliflower is a heavy feeder and it requires large amount of macronutrients as well as micronutrient for better development of curd and its quality. In addition to checking the various diseases and physiological disorders, the use of chemical fertilizers is one of the well-known constrain for maximization of crop yield through their proper utilization. The application of optimum dose of nitrogenous, phosphatic and potassic fertilizers along with some micro-nutrient viz, International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 10 (2017) pp. 3408-3414 Journal homepage: http://www.ijcmas.com

7 citations

Proceedings ArticleDOI
01 Dec 2012
TL;DR: A brief overview of digital image watermarking techniques in spatial and frequency domain, advantages of frequency domain over spatial domain techniques and proposed a water marking algorithm in frequency domain by using the discrete wavelet transform are presented.
Abstract: New opportunities have been explored in social, business, entertainment and scientific fields due to the development of high speed computer networks and that of, internet in particular. Ironically, the cause for the development is apprehensive because of the use of digital formatted data. Digital media has several advantages over analog media such as high fidelity copying easy editing and high quality. Software products which hide information within digital audio, images and video files have been introduced to address these growing concerns. One of the techniques of data hiding is digital watermarking. The watermarking is the process of embedding a signal in to other signal robustly and invisibly at the same time, the embedded signal is called watermark and the other signal is called cover or host signal. In this paper we are presents a brief overview of digital image watermarking techniques in spatial and frequency domain, advantages of frequency domain over spatial domain techniques and proposed a watermarking algorithm in frequency domain by using the discrete wavelet transform.

7 citations

Patent
04 Feb 2016
TL;DR: In this paper, the authors provided apharmaceutical premix of crystalline form-M 2 of vortioxetine hydrobromide and pharmaceutically acceptable excipients and a process for the preparation thereof.
Abstract: Crystalline forms of vortioxetine hydrobromide, designated as form-M 1 , form-M 2 , form-M 3 , and form-M 4 are disclosed herein.The present disclosure also provides apharmaceutical premix of crystalline form-M 2 of vortioxetine hydrobromide and pharmaceutically acceptable excipients and a process for the preparation thereof, as well as a pharmaceutical premix of amorphous vortioxetine hydrobromide and pharmaceutical acceptable excipients and a process for the preparation thereof. In some embodiments, the generation of a premix that includes amorphous vortioxetine hydrobromide and β-cyclodextrin was found to be particularly stable and advantageous.

7 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Christopher M. Bishop1
01 Jan 2006
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Abstract: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.

10,141 citations

Journal ArticleDOI
TL;DR: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors.
Abstract: The 11th edition of Harrison's Principles of Internal Medicine welcomes Anthony Fauci to its editorial staff, in addition to more than 85 new contributors. While the organization of the book is similar to previous editions, major emphasis has been placed on disorders that affect multiple organ systems. Important advances in genetics, immunology, and oncology are emphasized. Many chapters of the book have been rewritten and describe major advances in internal medicine. Subjects that received only a paragraph or two of attention in previous editions are now covered in entire chapters. Among the chapters that have been extensively revised are the chapters on infections in the compromised host, on skin rashes in infections, on many of the viral infections, including cytomegalovirus and Epstein-Barr virus, on sexually transmitted diseases, on diabetes mellitus, on disorders of bone and mineral metabolism, and on lymphadenopathy and splenomegaly. The major revisions in these chapters and many

6,968 citations

Journal ArticleDOI
TL;DR: A comprehensive review of current research activities that center on the shape-controlled synthesis of metal nanocrystals, including a brief introduction to nucleation and growth within the context of metal Nanocrystal synthesis, followed by a discussion of the possible shapes that aMetal nanocrystal might take under different conditions.
Abstract: Nanocrystals are fundamental to modern science and technology. Mastery over the shape of a nanocrystal enables control of its properties and enhancement of its usefulness for a given application. Our aim is to present a comprehensive review of current research activities that center on the shape-controlled synthesis of metal nanocrystals. We begin with a brief introduction to nucleation and growth within the context of metal nanocrystal synthesis, followed by a discussion of the possible shapes that a metal nanocrystal might take under different conditions. We then focus on a variety of experimental parameters that have been explored to manipulate the nucleation and growth of metal nanocrystals in solution-phase syntheses in an effort to generate specific shapes. We then elaborate on these approaches by selecting examples in which there is already reasonable understanding for the observed shape control or at least the protocols have proven to be reproducible and controllable. Finally, we highlight a number of applications that have been enabled and/or enhanced by the shape-controlled synthesis of metal nanocrystals. We conclude this article with personal perspectives on the directions toward which future research in this field might take.

4,927 citations