INTERACTION OF SCIENCE PARADIGM, MANAGEMENT AND RESEARCH METHODS

2021 ◽  
Vol 6 (11) ◽  
pp. 138-147
Author(s):  
Okan YAŞAR
Keyword(s):  
Research Methods ◽  
Data Analytics ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Scientific Research ◽  
New Science ◽  
Scientific Paradigms ◽  
Science Show ◽  
Revolutionary Science ◽  
The Way

Science paradigms determine the way scientists view concepts, phenomena and events and the way they solve problems. Scientific research methods are naturally the result of scientific paradigms. It is inevitable that developments in science will affect scientific research methods and tools. In this study, fundamental paradigm changes in science and their reflections on management sciences and research methods are discussed. The developments in disciplines such as complexity, big data analytics and neuroscience, and the developments in management fields and the reflections of the emerging theories on research methods form the framework of the research. The areas subject to these developments can be characterized by "revolutionary science" within the framework defined by Kuhn. In the framework of new science, complexity, unpredictability, nonlinear systems, uncertain cause and effect relationships have been identified as prominent concepts from analytics to theory. As a result, it has been observed that control and planning functions in the management and organizational field lost their importance and autonomous organizations with uncertain vision were born. As a result of the research, it has been observed that in this age where information is instantly produced and consumed, research methods must also keep up with changes. The new dynamics require an explanation of the process rather than the estimation of outputs. The new science is in a holistic structure formed by the information produced by different disciplines such as physics and biology. The application areas of the new science show rapid development in the field of management as in every field. It is considered that the study will contribute to the researchers on subjects that do not have sufficient knowledge in the national literature.

scholarly journals Light-Weight, Self-Powered Sensor Based on Triboelectric Nanogenerator for Big Data Analytics in Sports

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2322
Author(s):  
Xiaofei Ma ◽  
Xuan Liu ◽  
Xinxing Li ◽  
Yunfei Ma
Keyword(s):  
Big Data ◽  
Real Time ◽  
Data Analytics ◽  
Mechanical Energy ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Triboelectric Nanogenerator ◽  
Light Weight ◽  
Table Tennis ◽  
Self Powered

With the rapid development of the Internet of Things (IoTs), big data analytics has been widely used in the sport field. In this paper, a light-weight, self-powered sensor based on a triboelectric nanogenerator for big data analytics in sports has been demonstrated. The weight of each sensing unit is ~0.4 g. The friction material consists of polyaniline (PANI) and polytetrafluoroethylene (PTFE). Based on the triboelectric nanogenerator (TENG), the device can convert small amounts of mechanical energy into the electrical signal, which contains information about the hitting position and hitting velocity of table tennis balls. By collecting data from daily table tennis training in real time, the personalized training program can be adjusted. A practical application has been exhibited for collecting table tennis information in real time and, according to these data, coaches can develop personalized training for an amateur to enhance the ability of hand control, which can improve their table tennis skills. This work opens up a new direction in intelligent athletic facilities and big data analytics.

Big Data Analytics in the Healthcare Industry

2020 ◽  
pp. 160-178
Author(s):  
Arulkumar Varatharajan ◽  
Selvan C. ◽  
Vimalkumar Varatharajan
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Human Services ◽  
Big Data Analytics ◽  
Healthcare Industry ◽  
Multimodal Data ◽  
Design Structure ◽  
Costs Of Treatment ◽  
The Way

Big Data has changed the way we manage, analyze and impact the data information in any industry. A champion among the most promising zones where it will, in general, be associated with takeoff progress is therapeutic medicinal administrations. Administration examinations can diminish costs of treatment, foresee flare-ups of pestilences, keep up a key separation from preventable diseases and improve individual fulfillment overall. The chapter depicts the beginning field of a huge information investigation in human services, talks about the advantages, diagrams a design structure and approach, portrays models revealed in the writing, quickly examines the difficulties, and offers ends. A continuous examination which targets the utilization of tremendous volumes of remedial data information while combining multimodal data information from various sources is discussed. Potential locales of research inside this field which can give noteworthy impact on medicinal administrations movement are in like manner dissected.

scholarly journals Big Data on Machine Learning – A Review

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Balasree K ◽  
Dharmarajan K
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Storage ◽  
Data Analytics ◽  
Rapid Development ◽  
Learning Algorithms ◽  
Big Data Analytics ◽  
Machine Learning Algorithms ◽  
Data Sets ◽  
Big Data Technology

In rapid development of Big Data technology over the recent years, this paper discussing about the Machine Learning (ML) playing role that is based on methods and algorithms to Big Data Processing and Big Data Analytics. In evolutionary fields and computing fields of developments that both are complementing each other. Big Data: The rapid growth of such data solutions needed to be studied and provided to handle then to gain the knowledge from datasets and extracting values due to the data sets are very high in velocity and variety. The Big data analytics are involving and indicating the appropriate data storage and computational outline that enhanced by using Scalable Machine Learning Algorithms and Big Data Analytics then the analytics to reveal the massive amounts of hidden data’s and secret correlations. This type of Analytic information useful for organizations and companies to gain deeper knowledge, development and getting advantages over the competition. When using this Analytics we can predict the accurate implementation over the data. This paper presented about the detailed review of state-of-the-art developments and overview of advantages and challenges in Machine Learning Algorithms over big data analytics.

WITSML v2.0: Paving the Way for Big Data Analytics Through Improved Data Assurance and Data Organization

2016 ◽  
Author(s):  
Yash Gidh ◽  
Nigel Deeks ◽  
Lars Olav Grovik ◽  
David Johnson ◽  
Sethupathi Arumugam ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Data Organization ◽  
The Way

scholarly journals Advances in Memristor-Based Neural Networks

2021 ◽  
Vol 3 ◽  
Author(s):  
Weilin Xu ◽  
Jingjuan Wang ◽  
Xiaobing Yan
Keyword(s):  
Neural Networks ◽  
Data Analytics ◽  
Rapid Development ◽  
Big Data Analytics ◽  
Low Power Consumption ◽  
Massive Data ◽  
Chip Area ◽  
Network Applications ◽  
Neural Network Applications ◽  
Future Work

The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve massive data calculation with low power consumption and small chip area. This paper provides an overview of memristor device characteristics, models, synapse circuits, and neural network applications, especially for artificial neural networks and spiking neural networks. It also provides research summaries, comparisons, limitations, challenges, and future work opportunities.

A Framework for Effective Data Analytics for Tourism Sector

2022 ◽  
pp. 483-496
Author(s):  
Sapna Sinha ◽  
Vishal Bhatnagar ◽  
Abhay Bansal
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
It Infrastructure ◽  
Technological Revolution ◽  
Competitive Edge ◽  
Tourism Sector ◽  
Tools And Techniques ◽  
The Way

From BRICS nations, India is the second largest tourism market after China in Asia. Technological revolution has added new dimensions to the way technologies being used in all the sectors. Also, the use of electronic gadgets leaves trail of data, which is very huge in size, this data (Big Data) is exploited by every sector for providing better services and gaining competitive edge. This trend grabbed the attention of researchers and industry for development of more optimized tools and techniques. There are many general frameworks proposed by industry and researchers for implementation of Big Data in industry but, there is no framework proposed for tourism sector. In this paper, the authors propose unified IT infrastructure framework named as tAdvisor for effective data analytics using Big Data Analytics approach for increasing productivity in tourism sector. Various challenges and issues related with the implementation of Big Data Analytics is also discussed in the paper.

scholarly journals A review on Data Mining & Big Data Analytics

2018 ◽  
Vol 7 (4.24) ◽  
pp. 92
Author(s):  
Yashasree Tummala ◽  
Dr. Hemantha Kumar Kalluri
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Way

The time of enormous information is presently progressing. Be that as it may, the customary information investigation will most likely be unable to wrench such huge amounts of information. The inquiry that emerges now is, the way to build up an elite stage to effectively examine huge information and how to plan a suitable mining calculation to locate the helpful things from enormous information. To profoundly talk about this issue, this paper starts with a concise prologue to information investigation, trailed by the exchanges of enormous information examination.

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