304 research outputs found
sj-pdf-1-pie-10.1177_09544089221128768 - Supplemental material for Analysis of Arrhenius activation energy on magnetohydrodynamic gyrotactic microorganism flow through porous medium over an inclined stretching sheet with thermophoresis and Brownian motion
No full textSupplemental material, sj-pdf-1-pie-10.1177_09544089221128768 for Analysis of Arrhenius activation energy
on magnetohydrodynamic gyrotactic microorganism flow through porous medium over an inclined stretching sheet with thermophoresis and Brownian motion by Bhupendra Kumar Sharma, Umesh Khanduri, Nidhish K Mishra and Ali J Chamkha in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
Fabrication of single or multiple gate field plates
No full textA process for fabricating single or multiple gate field plates using consecutive steps of dielectric material deposition/growth, dielectric material etch and metal evaporation on the surface of a field effect transistors. This fabrication process permits a tight control on the field plate operation since dielectric material deposition/growth is typically a well controllable process. Moreover, the dielectric material deposited on the device surface does not need to be removed from the device intrinsic regions: this essentially enables the realization of field-plated devices without the need of low-damage dielectric material dry/wet etches. Using multiple gate field plates also reduces gate resistance by multiple connections, thus improving performances of large periphery and/or sub-micron gate devices
Article and Author Level Measurements
No full textArticle and author level measurements have been discussed in this Unit. Author and researcher identifiers are absolutely essential for searching databases in the WWW because a name like D Singh can harbour a number of names such as Dan Singh, Dhan Singh, Dhyan Singh, Darbara Singh, Daulat Singh, Durlabh Singh and more. The ResearcherID.com, launched by Thomson Reuters, is a web-based global registry of authors and researchers that individualises each and every name. Open Researcher and Contributor ID (ORCID) is also a registry that uniquely identifies an author or researcher. Both have been discussed in this Unit. Article Level Metrics (Altmetrics) has been treated in this Unit with the discussion as to how altmetrics can be measured with Altmetric.com and ImpactStory.org. Altmetrics for Online Journals has also been touched. There are a number of academic social networks of which ResearchGate.net, Academia.edu, GetCited.org, etc. have been discussed. Regional journal networks with bibliometric indicators are also in existence. Two networks of this type such as SciELO – Scientific Electronic Library Online, and Redalyc have been dealt with. This Unit discusses in details aspects such as Unique Identifiers for Authors and Researchers; Article Level Metrics (Altmetrics); Academic Social Networks; and Regional Journal Networks with Bibliometric Indicators
Internet of Things and machine learning in agriculture: technological impacts and challenges De Gruyter frontiers in computational intelligence ;, v. 8./ edited by Vishal Jain, Jyotir Moy Chatterjee, Abhishek Kumar, Pramod Singh Rathore.
No full textIncludes bibliographical references and index.Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. 'Machine Learning and the Internet of Things' can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.Part I. 1. 2. 3. 4. 5. Part II. 6. 7. 8. 9. Part III. 10. 11. 12. 13. 14. 15. 16. 17. 18. Index. Parul Verma and Umesh Kumar -- Ashish Tripathi, Arun Kumar Singh, Khararee Narayan Singh, Krishna Kant Singh, Pushpa Choudhary, and Prem Chand Vashist -- Jyoti Batra Arora -- Nilesh Uke, Trupti Thite, and Supriya Saste -- Sivakumar Rajagopal, Sonai Rajan Thangaraj, J. Paul Mansingh, and B. Prabadevi -- Aarti and Amit Kumar -- K. Krishnaveni, E. Radhamani, and K. Preethi -- Jibin Varghese, J. Jeba Praba, and John J. George -- Nikunj Rajyaguru, Shubhendu Vyas, and Kunjan Vyas -- Suvarna Pawar and Pravin Futane -- J. H. Kamdar, M. D. Jasani, J. D. Jasani, J. Jeba Praba, and John J. George -- Sapna Nigam, Rajni Jain, Sudeep Marwaha, and Alka Arora -- Sandip Kumar Roy and Preeta Sharan -- Mahua Bose and Kalyani Mali -- Tan Pham Nhat and Son Vu Truong Dao -- Shubhendu Vyas, Nikunj Rajyaguru, and Kunjan Vyas -- Yash Joshi, Sachit Mishra, and R. S. Ponmagal -- Punam Bedi, Pushkar Gole, and Sumit Kumar Agarwal -- Frontmatter -- Preface -- Acknowledgments -- Contents -- List of contributors -- Machine Learning and Internet of Things in Agriculture -- Smart farming : Using IoT and machine learning techniques / Food security and farming through IoT and machine learning / An innovative combination for new agritechnological era / Recent advancements and challenges of artificial intelligence and IoT in agriculture / Technological impacts and challenges of advanced technologies in agriculture / Applications of Internet of Things in Agriculture -- IoT-based platform for smart farming - Kaa / Internet of things platform for smart farming / Internet of things platform for smart farming / Internet of things platform for smart farming / Applications of Machine Learning in Agriculture -- Kisan-e-Mitra : A tool for soil quality analyzer and recommender system / Artificial intelligence for plant disease detection : Past, present, and future / Wheat rust disease identification using deep learning / Image-based hibiscus plant disease detection using deep learning / Rainfall prediction by applying machine learning technique / Plant leaf disease classification based on feature selection and deep neural network / Using deep learning for image-based plant disease detection / Using deep learning for image-based plant disease detection / Using deep learning for image-based plant disease detection /1 online resource (xvi, 410 pages)
Adaptable Techniques for Making IT-Related Investment Decisions
No full textThe author investigated the main methods used for making IT-related investment decisions. In the view of these methods it can be said that no method was found that would help to make investment decisions 'routinelike'. The use of traditional financial indicators – which would be suitable for so-called regular investments - has a lot of obstructions and it would be dangerous to base decisions only on them. Return on Investment (ROI) methods are used in the case of classical investments (buildings, machineries) to analyze capital investments. Their simplest explanation is that net profit is expressed in percentage of invested capital. If it is a planned investment, a quotient is used for comparing variations. Cost-Benefit Analysis (CBA) has gained upon from the 60’s (in case of several IT-related investments as well), as it made possible to consider certain not quantifiable factors and uncertain elements too, so it meant a great help for choosing between different alternatives. Total Cost of Ownership (TCO)-model was created by GartnerGroup in the beginning of the 90’s, which is an excellent method for monitoring IT infrastructure and for analysing direct and indirect costs of possessed and used softwares and hardwares. An another method for making investment decisions, Rapid Economic Justification (REJ) is an attempt made by Microsoft and Intellectual Arbitrage to develop a better-balanced approach for examining and developing IT projects as it had been before. REJ offers the possibility of assessment balance against the cost-models dealing with only the cost side of a project
Introduction to Research Evaluation Metrics and Related Indicators
No full textThis Unit encompasses and discusses citation analysis, use of citation-based indicators for research evaluation, common bibliometric indicators, classical bibliometric laws, author level indicators using authors’ public profiles, article level metrics using altmetric tools. It is to be noted that author level indicators and article level metrics are new tools for research evaluation. Author level indicators encompasses h index, citations count, i10 index, g index, articles with citation, average citations per article, Eigenfactor® score, impact points, and RG score. Article level metrics or altmetrics are based on Twitter, Facebook, Mendeley, CiteULike, and Delicious which have been discussed. All technical terms used in the Unit have been defined. This Unit discusses in details aspects such as Use of Citation-based Indicators for Research Evaluation; Transition from Citation-based Indicators to Author Level and Article Level Metrics for Research Evaluation
Nanoparticles mediated folic acid enrichment
No full textFolate is an essential component of many metabolic processes, and folate deficiency is known to cause various disorders. Folate and folic acid, a synthetic and chemically stable form of folate, enriched diet are typically used to overcome this deficiency. Folic acid and folate however, are susceptible to harsh environment and folates enrichment using nanoparticles is an intensively studied strategy in food industry. This review highlights the current methods and types of matrices utilized to develop folic acid/folate carrying nanoparticles. The folic acid/folate loaded nanoparticles prevent cargo degradation during gut absorption and under harsh food processing conditions including, high temperatures, UV light, and autoclaving. The data demonstrates that nanofortifcation of folates using proteins and biopolymers effectively enhances the bioavailability of the cargo. The encapsulation of folic acid in biopolymers by emulsion, spray drying and ionic gelation represent simplistic methods that can be easily scaled up with applications in food industry
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