Tripathi Abhishek Kumar (189 results)

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Hardcover. Condition: New. 1st Edition. This book presents not only innovative food ideas for the management of proper nutrition, but also the processes and scientific research which lead to these inventive and modern treatment methods. This issue preserves the numerous ideas and contributions made in the field of food science and technology, and lays the foundation for a field of management that will undoubtedly logarithmically expand in the coming years, and change modern society's relationship with processed foods. This book serves as a collection of the most up-to-date ideas and contributions made by researchers in the field of food science, food processing and functional foods. Furthermore, this book demonstrates the current progress and evolution of food processing that will undoubtedly change the lives of millions of people worldwide. This book covers the basics on functional foods, food technologies and dairy technology. With more than 500 scientific references, this book provides students, researchers and professionals with a comprehensive and up-to-date examination of food, dairy, bakery, confectionary and function food. The book provides modern information on functional foods components, including antioxidants, dietary fibers, prebiotics, plant sterols, phytochemicals, bioactive peptides, and flavonoids, as well as the health benefits of bioactive foods. The book presents the latest developments in nutraceuticals, food molecular biology, dairy technology, as well as the marketing and distribution of processed and traditional foods. This book in aimed at undergraduates, postgraduates, researchers and professionals in the food processing sector to provide an overview of the innovative ideas, recent researches and new product development with raw materials which are creative, palatable and safe to eat.

Hardcover. Condition: New. 1st Edition. Contents: 1. Potential Role of Nostoc Muscorum in the Detoxification of Cr (VI) with Genetic variability/Ajit Pratap Singh Yadav, Raghvendra Raman Mishra and Anil Kumar. 2. Influence of Plant Growth promoting Rhizobacteria on Plant growth and Plant Disease Resistance: A case Study on Tomato Plant/Anshika Singh and Rajani Shrivastava. 3. Application of Nuclear Technology in Horticulture/Anupam Tiwari, Anil K. Singh, Vikas K. Jain, neeharika Kanth and Sumit Pal. 4. Concept of Nutraceutical in Special Reference to Rasayana Therapy of Ayurveda/Ashwini Kumar Kushwaha. 5. Medicinal Importance of certain Ayurvedic Herbs used as Nutaceuticals/Ashwini Kumar Kushwaha and Manoj Kumar Singh. 6. Concept of genetics in Ayurveda w.s.r. to Beej, Beejbhag and Beej Bhagavayava/B.M.N. Kumar. 7. Organic Rice Production/B. Rama Devi and D. Rakshith Roshan. 8. Marker Assisted Selection for Insect Resistance/Deepak Kumar Jaiswal, Vaibhav Singh and D.K. Singh. 9. Allele Mining selection for Insect Resistance/Girish Tantuway, Santosh Kumar, Ashish Kumar Maurya. 10. Containment of Pollen Mediated gene Flow in GM Plants Through Transplastomic Technology/Gobu R, Omprakash, Kailash Chandra, Megaladevi P. 11. Molecular Analysis of p21 gene in female Breast cancer Patients/Jyotsana tripathi, Smriti Pandey, Nasir jamal and Nidhi Shukla. 12. Bioprospecting of gene (s): an Important approach of Mining the Superior Alleles for crop Improvement of Targeted Trait/Kailash Chandra, Ravindra Prasad, Gobu R and Rohit Sharma. 13. Diversity of Insect Fauna in Forage crops/Mili. P, Devee A, Saikia D.K. Rahman A. 14. Diversity of Insect-Pests Fauna in banana Ecosystem of Horticultural orchard of Assam Agricultural University Jorhat/Mudoi A. Saikia, D.K. Rahman and Patgiri P. 15. Molecular Markers: trends and Application in Crop Improvement/Munnesh Kumar, Kuldeep Chandrawat, Sonali V. Habde, Kapil Nagar and Suresh Kr. Sah. 16. Genetically Engineered Rice: A Hope for the future/Omprakash, Gobu R. , Prashant Bisen and Girish Tantuway. 17. Significance of Nitrogen heterocyclic Nuclei in the Search of Pharamacological Active Compounds/Parjanya Kumar Shukla, Amita Verma and Pragya Mishra. 18. Biofortification of cereals: A Strategy to Combat Malnutrition/Patil Srihari Reddy, Girish Tantuway, Srinivasa Reddy Yerva, Manish Kumar and Gobu. 19. Biodiversity: Impact and Strategies to Conserve It/Prashant Bisen, Namrata, Omprakash, Vikas Kumar Jain, Bapsila Loitongbam and P.K. Singh. 20. Efficacy of Different Botanical Powders as Grain Protectants Against Pulse beetle, Callosobruchus Chinensis L. in Black Gram/R.S. Meena , M.A. Laichattiwar and Gautam Kumar. 21. A Great Presence of Staphylococcus Aureus bacteriophages in Ganga Water/Eaghvendra Raman Mishra and Gopal Nath. 22. Essentials by means of Green Pesticides: on behalf of Ecological Agriculture/Ramesh Babu S. Yugandhar Gokidi. 23. Women in Entrepreneurship/S. Kavita, Manju yadav and Bavaji Gudi Shobha Rathod. 24. Diversity of Dipteran Insects in Sivasagar District of Assam, India/Sarma S, Saikia D.K. and Mili P. 25. Diversity of Insect fauna in vegetable Ecosystem/Sarma D, Saikia D.K. and Rahman A. 26. Assessment of Adverse Effect of Tannery Waste Water on Aquatic Ecosystem: A Review/Shahida Parveen, Ram Bharose, Dharam Singh and Sandeep Rout. 27. Incretin Therapy/Shrivani Srivastava, Durgavati Yadav and Harsh Pandey. 28. Genome Wide analysis of WRKY gene Family in Chlamydomonas reinhardtii/Shruti Mishra, Ayushi Upadhyaya and Prashant Ankur Jain. 29. Gaur Gum: Properties, processing and Uses/Sunil Kumar, Vikram Kumar, Ritesh Kumar and Rajesh Kumar Singhal. 30. Semiochemicals and its Potential in Pest Management/Sunil Verma, Ritesh Kumar Parihar, Vikram Kumar and Rajesh Kumar Singhal. 31. Spot Blotch of Wheat and Its fungal Pathogen/Sunita Kumari and Neelam Geat. 32. Screening of various genotypes Against Major Insect pests of Cowpea/Swathi Yadav Kattula, H.V. Pandya and Srasvan Kumar G. 33. Present and Future of organic Farmi.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Every year lives and properties are lost in road accidents. About one-fourth of these accidents are due to low vision in foggy weather. At present, there is no algorithm that is specifically designed for the removal of fog from videos. Application of a single-image fog removal algorithm over each video frame is a time-consuming and costly affair. It is demonstrated that with the intelligent use of temporal redundancy, fog removal algorithms designed for a single image can be extended to the real-time video application. Results confirm that the presented framework used for the extension of the fog removal algorithms for images to videos can reduce the complexity to a great extent with no loss of perceptual quality. This paves the way for the real-life application of the video fog removal algorithm. In order to remove fog, an efficient fog removal algorithm using anisotropic diffusion is developed. The presented fog removal algorithm uses new dark channel assumption and anisotropic diffusion for the initialization and refinement of the airlight map, respectively. Use of anisotropic diffusion helps to estimate the better airlight map estimation. The said fog removal algorithm requires a single image captured by uncalibrated camera system. The anisotropic diffusion-based fog removal algorithm can be applied in both RGB and HSI color space. This book shows that the use of HSI color space reduces the complexity further. The said fog removal algorithm requires pre- and post-processing steps for the better restoration of the foggy image. These pre- and post-processing steps have either data-driven or constant parameters that avoid the user intervention. Presented fog removal algorithm is independent of the intensity of the fog, thus even in the case of the heavy fog presented algorithm performs well. Qualitative and quantitative results confirm that the presented fog removal algorithm outperformed previous algorithms in terms of perceptual quality, color fidelity and execution time. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics.

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Taschenbuch. Condition: Neu. Neuware -Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the random distribution and high velocities of the raindrops. Fog causes low contrast and whiteness in the image and leads to a shift in the color. This book has studied rain and fog from the perspective of vision. The book has two main goals: 1) removal of rain from videos captured by a moving and static camera, 2) removal of the fog from images and videos captured by a moving single uncalibrated camera system. The book begins with a literature survey. Pros and cons of the selected prior art algorithms are described, and a general framework for the development of an efficient rain removal algorithm is explored. Temporal and spatiotemporal properties of rain pixels are analyzed and using these properties, two rain removal algorithms for the videos captured by a static camera are developed. For the removal of rain, temporal and spatiotemporal algorithms require fewer numbers of consecutive frames which reduces buffer size and delay. These algorithms do not assume the shape, size and velocity of raindrops which make it robust to different rain conditions (i.e., heavy rain, light rain and moderate rain). In a practical situation, there is no ground truth available for rain video. Thus, no reference quality metric is very useful in measuring the efficacy of the rain removal algorithms. Temporal variance and spatiotemporal variance are presented in this book as no reference quality metrics. An efficient rain removal algorithm using meteorological properties of rain is developed. The relation among the orientation of the raindrops, wind velocity and terminal velocity is established. This relation is used in the estimation of shape-based features of the raindrop. Meteorological property-based features helped to discriminate the rain and non-rain pixels. Most of the prior art algorithms are designed for the videos captured by a static camera. The use of global motion compensation with all rain removal algorithms designed for videos captured by static camera results in better accuracy for videos captured by moving camera. Qualitative and quantitative results confirm that probabilistic temporal, spatiotemporal and meteorological algorithms outperformed other prior art algorithms in terms of the perceptual quality, buffer size, execution delay and system cost. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics. Table of Contents: Acknowledgments / Introduction / Analysis of Rain / Dataset and Performance Metrics / Important Rain Detection Algorithms / Probabilistic Approach for Detection and Removal of Rain / Impact of Camera Motion on Detection of Rain / Meteorological Approach for Detection and Removal of Rain from Videos / Conclusion and Scope of Future Work / Bibliography / Authors' BiographiesSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 96 pp. Englisch.

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