A Bibliometric Analysis of Health Cloud Scientific\u27s Productions

Introduction: Cloud computing is an innovative paradigm meeting the user\u27s demand for accessing a shared source comprising adjustable computational sources, such as servers and applied programs. An increase in the costs of information technology, emerging problems with updating software and hardware, and expanded storage volume, make it possible to utilize cloud-based health information cases. Organizations have focused on cloud platform-based services as a new opportunity to develop the software industry for healthcare. The aim of the research is to conduct a bibliometric study of the scientific productions on health cloud . Methodology: The present study, applied in nature, was conducted using a bibliometric and scientometric method. It was conducted in 2018 using PubMed and key portmanteaus over the period 2009-2018. Subjected to the application of input and output standards, 491 research papers were selected for analysis. Findings: The findings revealed that the production of health cloud-focused papers over a decade, excluding those in 2017, had an upward trend. The US, India, and China were the most productive in this respect. Having presented 5 papers on cloud computing, Costa, Lee, Malamateniou, Stoicu-Tivadar, Vassilacopoulos, writers, were most productive. The greatest co-occurrence was that of the words Internet, electronic health records, computer security, information storage and retrieval, algorithms, confidentiality, female, male, delivery of health care, computer communication networks, medical informatics, mobile applications, data mining, and health information exchang. Conclusion: The results of the present study indicate the leading status of the USA in health cloud publications. In view of the recognition received for using cloud computing, the trend of the papers in the base was upward in nature. On analysis of the co-occurrence of words, the largest cluster was that of cloud computing with 6 items focused on: The Internet of Things (IoT), Electronic health record, healthcare, and e-health in one cluster, indicating the continuity of the issues

INDIAN RESEARCH CONTRIBUTION IN CLOUD COMPUTING: A BIBLIOMETRIC ANALYSIS AND VISUALIZATION OF JOURNAL ARTICLES FROM SCOPUS DATABASE

The present bibliometric study aims to analyze the Indian research contribution in cloud computing from 2011 to 2020. The data was collected from Scopus database using “cloud Computing” keyword and limited to articles final publications. The study analysis many bibliometric parameters like; year-wise distribution of publications; most productive authors, titles, sources and citation counts. Co-occurrence of keywords from articles and authors keywords mapping through VOSviewer. The study found a total 1482 articles, highest 439 articles were published in 2019. The article entitled Honey bee behavior inspired load balancing of tasks in cloud computing environments published in 2013 received highest citation i.e 386. Chana, I., Kumar N, Iyengar are the prolific authors. Vellore Institute of Technology, Vellore is the top contributing Institute

Secure Access control Technology towards Data Sharing and Storage in Cloud Computing

Cloud computing is a type of appropriated computing wherein assets and application stages are disseminated over the Internet through on request and pay on use premise. Many cloud storage encryption schemes have been acquainted with shield data from the individuals who don't approach. We make utilization of many schemes which accepted that cloud storage providers are protected and secure. Be that as it may, by and by, a few specialists (i.e., coercers) may attempt to uncover data from the cloud without the authorization of the data proprietor. In this paper, we exhibit that the location of obscurity clients with the utilization of our productive deniable encryption conspire, while the phony clients tries to get data from the cloud they will be furnished with some phony files. With the goal that programmers can't hack the files from the cloud. Also, they are happy with their copy record by that way we can secure the proprietor mystery files or confidential files

Research Impact on Drone by means of Scientometric Analysis

The Scientometric analysis done on “Drone” is based on the literatures indexed in SCOPUS from 1999 to 2018. The data reveals that 2902 records were published with a total of 2746 Local Citation Score and 16494 Global Citation Score. The Regression test has been conducted to test the hypothesis in an intention to check the deviation among the research publications. The year wise, language wise growth of literature and the type of documents involved in process of publications were assessed. The Bradford’s Bibliometric law was applied to identify the core journals. Top ten countries, ten journals and top five authors were retrieved along with the h-indices. Through the research, it is suggested that the Ministry of Human Resource Development to allocate more funds to enhance the research on “Drone”, as this un-manned vehicle can reach the place where human being hesitate to enter, to unhide many more facts for the smooth and safe life of the living beings in this world

The Intrinsic Structure of Nuclear Chemistry: A Scientometric Study

: In the last two decades, the research in nuclear chemistry has experienced a regular as well as voluminous structural changes and has grown notably with interaction from other fields in terms of theory building, methodology, and applications. This study focus a quantitative assessment of the scientific literature for mapping the intellectual structure of nuclear chemistry research and its scientific development over a 11-year period from 2008 till 2018. A total of 109281 publications were subjected to examination in order to draw statistics and depict dynamic changes to shed new light upon the growth, dispersion and structure of the studied domain. In general this work characterizes the papers, in terms of growth, institution, document type, prominent authors and institutions, and geographical distributio

Towards service protection in Fog-to-Cloud (F2C) computing systems

Internet of Things (IoT) services are unstoppably demanding more computing and storage resources. Aligned to this trend, cloud and fog computing came up as the proper paradigms meeting such IoT services demands. More recently, a new paradigm, so-called fog to cloud (F2C) computing, promises to make the most out of both Fog and Cloud, paving the way to new IoT services development. Nevertheless, the benefits of F2C architectures may be diminished by failures affecting the computing commodities. In order to withstand possible failures, the design of novel protection strategies, specifically designed for distributed computing scenarios is required. In this paper, we study the impact of distinct protection strategies on several key performance aspects, including service response time, and usage of computing resources. Numerical results indicate that under distinct failure scenarios, F2C significantly outperforms the conventional cloud.Peer ReviewedPostprint (published version

A Scientometric Analysis Of Drone Technology Publications

This study focus on the growth and development of drone technology research in forms of publications reflected in Web of Science database, during the span of 1998-2017. A total 3433 publications were found and the highest 1040 (30.29%) publications published in 2017. The average number of 343.3 publications were published per year in the study field and there was a variation in Annual Growth, because there is no constant growth of publications every year in the area of study. Out of total publications, 3123 (90.97%) contributed by collaboration of multiple authors and 310 (9.03%) by single authors. Authors from United States of America (USA) published the highest number of publications with a total of 774 (22.55%), followed by China and South Korea with 618 (18.00%) and 238 (6.93%) publications were produced respectively. It exposed that the most prolific author is Kim Y secured first place by contributing 31 (0.90%) publications, followed by Zarco 21(0.61%), and Zhang 17 (0.50%) publications were published in drone technology. The collaborative index range from 3.43 (2008) to 4.19 (2012) with an average of 3.88 and 3.79 (2013) to 4.45 (2017) with an average of 4.16 per joint authored paper. For a total of 3123 multiple authored publications has 4.13 of an average per joint authors. It implies the research team falls between 3 and 4 authorship pattern in field of drone technology. It is identified the domination of Chinese institutions by contributing 23.77% (816) of a total research output in drone technology. In respect to, 7.31% (251) form Chines Academy of Science, 6.26% (215) from Beihang University, 5.33% (183) from Nanjing University of Aeronautics and Astronautics

A Scientometric Analysis of Drone Technology Publications

This study focus on the growth and development of drone technology research in forms of publications reflected in Web of Science database, during the span of 1998-2017. A total 3433 publications were found and the highest 1040 (30.29%) publications published in 2017. The average number of 343.3 publications were published per year in the study field and there was a variation in Annual Growth, because there is no constant growth of publications every year in the area of study. Out of total publications, 3123 (90.97%) contributed by collaboration of multiple authors and 310 (9.03%) by single authors. Authors from United States of America (USA) published the highest number of publications with a total of 774 (22.55%), followed by China and South Korea with 618 (18.00%) and 238 (6.93%) publications were produced respectively. It exposed that the most prolific author is Kim Y secured first place by contributing 31 (0.90%) publications, followed by Zarco 21(0.61%), and Zhang 17 (0.50%) publications were published in drone technology. The collaborative index range from 3.43 (2008) to 4.19 (2012) with an average of 3.88 and 3.79 (2013) to 4.45 (2017) with an average of 4.16 per joint authored paper. For a total of 3123 multiple authored publications has 4.13 of an average per joint authors. It implies the research team falls between 3 and 4 authorship pattern in field of drone technology. It is identified the domination of Chinese institutions by contributing 23.77% (816) of a total research output in drone technology. In respect to, 7.31% (251) form Chines Academy of Science, 6.26% (215) from Beihang University, 5.33% (183) from Nanjing University of Aeronautics and Astronautics

DATA-DRIVEN PRODUCT RETURNS PREDICTION: A CLOUD-BASED ENSEMBLE SELECTION APPROACH

The number of product returns represents a considerable cost factor in e-commerce, especially in the apparel sector. The application of advanced information technologies and predictive analytics, enabling to capture and analyze massive amounts of user data, pave the way for a more efficient management of product returns and reverse logistics. However, we identify a lack of data-driven approaches in this area, especially regarding product returns prediction. In this paper, we present an ensemble selection approach for predicting product returns in the apparel sector. Computational experiments indicate that our approach produces satisfying results in terms of prediction quality. We further explore the correlation between sample sizes and computational times. Thereby, we demonstrate that the run-time increases exponentially when using more data records. To address heavy run-time overheads resulting from high processing and memory requirements of classifiers, we present a framework to embed ensemble selection processes into a highly scalable cloud environment. The framework explains the provisioning of cloud resources and parallelization of tasks according to ensemble selection processes. It further builds a basis for considering data streams, data splitting, and a dynamic adoption of changing customer behavior over time, which has not been considered in related work so far. The envisioned forecasting support system aids retailers in reducing product returns and increasing profit margins