Preparation and Analytic of Intelligence Big Data for Smart Systems

It is already true that smart system involving big data has drawn massive attention from researchers in analytic, decision makers, intelligence in smart city or system. As the speed of Information Technology (IT) and internet developing, become necessary to come up smart system meets all requirements of modern life. Smart system make the life of human beings more comfortable and easy. However people can get so much interest and highly useful benefits from using big data in smart system. A proposed new scientific paradigm is born in this study to get the advantage and avoid the disadvantage of existing smart systems. Some Important structure illustrated in this study including triad main issues that control any smart system such as big data that responsible to make avenues to success smart system. Valuable insight comes from big data should analytic and control under process before manipulate in intelligence phase to get right decision in regimes. There is no doubt that competition in the future in field of big data will open the horizon to evolve the smart system. This paper is aimed to illustrate a close up view about using the modern technologies that currently evolve with amazing acceleration like intelligence and big data utilities. Challenging of these three issues big data, intelligence and analytic are adopted to find the opportunities of integrate smart system that dealing with hazardous government data clouding in such system. State-of-the-art discussed in this paper and useful recommendation been put up within conclusion to overcome the problems regarding designing smart system.

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Big Data information governance by accountants

International Journal of Accounting and Information Management ◽

10.1108/ijaim-01-2017-0006 ◽

2018 ◽

Vol 26 (1) ◽

pp. 153-170 ◽

Cited By ~ 7

Author(s):

Emily M. Coyne ◽

Joshua G. Coyne ◽

Kenton B. Walker

Keyword(s):

Big Data ◽

Life Cycle ◽

Design Methodology ◽

Decision Makers ◽

Accounting Profession ◽

Content Type ◽

Data Life Cycle ◽

Information Governance ◽

And Control ◽

Strong Ability

Purpose Big Data has become increasingly important to multiple facets of the accounting profession, but accountants have little understanding of the steps necessary to convert Big Data into useful information. This limited understanding creates a gap between what accountants can do and what accountants should do to assist in Big Data information governance. The study aims to bridge this gap in two ways. Design/methodology/approach First, the study introduces a model of the Big Data life cycle to explain the process of converting Big Data into information. Knowledge of this life cycle is a first step toward enabling accountants to engage in Big Data information governance. Second, it highlights informational and control risks inherent to this life cycle, and identifies information governance activities and agents that can minimize these risks. Findings Because accountants have a strong ability to identify the informational and control needs of internal and external decision-makers, they should play a significant role in Big Data information governance. Originality/value This model of the Big Data life cycle and information governance provides a first attempt to formalize knowledge that accountants need in a new field of the accounting profession.

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Discovering Knowledge Hidden in Big Data from Machine-Learning Techniques

Advances in Data Mining and Database Management - Web Data Mining and the Development of Knowledge-Based Decision Support Systems ◽

10.4018/978-1-5225-1877-8.ch010 ◽

2017 ◽

pp. 167-183 ◽

Cited By ~ 1

Author(s):

Adiraju Prashantha Rao

Keyword(s):

Machine Learning ◽

Big Data ◽

Data Analytics ◽

Decision Makers ◽

Machine Learning Techniques ◽

Human Beings ◽

Raw Data ◽

Learning Techniques ◽

Data Analytic ◽

Information Growth

As the speed of information growth exceeds in this new century, excessive data is making great troubles to human beings. However, there are so much potential and highly useful values hidden in the huge volume of data. Big Data has drawn huge attention from researchers in information sciences, policy and decision makers in governments and enterprises. Data analytic is the science of examining raw data with the purpose of drawing conclusions about that information. Data analytics is about discovering knowledge from large volumes data and applying it to the business. Machine learning is ideal for exploiting the opportunities hidden in big data. This chapter able to discover and display the patterns buried in the data using machine learning.

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Planning and Managing the Integrated Water System: A Spatial Decision Support System to Analyze the Infrastructure Performances

Sustainability ◽

10.3390/su12166432 ◽

2020 ◽

Vol 12 (16) ◽

pp. 6432

Author(s):

Michele Grimaldi ◽

Monica Sebillo ◽

Giuliana Vitiello ◽

Vincenzo Pellecchia

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Water System ◽

Decision Makers ◽

Spatial Decision Support System ◽

Human Beings ◽

Spatial Decision Support ◽

System A ◽

The Individual

The demand for water is constantly increasing, while there are factors related to climate change and pollution that make it less and less available. Addressing this problem means being able to face it with a global approach, which takes into account that human beings need water to survive, as well as all the systems on which they rely, namely sanitation, health, education, business, and industry. While human behavior is influenced by the growing awareness on this topic promoted by organizations specifically targeting this mission, the need to protect water resources in operational terms has led mainly to the need for smart urban infrastructure planning, consistent with the objective of promoting sustainable development. To this aim, the authorities in charge of monitoring the implementation of the investment plans by operators need to perform accurate evaluations of the technical quality of the services provided. The present paper introduces a framework to design a Multi-criteria Spatial Decision Support System, conceived to help decision-makers define and analyze the investment priorities of the individual service operators. By building a knowledge model of the network under investigation, decision-makers are aware of physical components of the whole system and are provided with an intervention priority index related to the network objects that could be affected by the planning action to be implemented.

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Discovering Knowledge Hidden in Big Data From Machine-Learning Techniques

Web Services ◽

10.4018/978-1-5225-7501-6.ch037 ◽

2019 ◽

pp. 684-700

Author(s):

Adiraju Prashantha Rao

Keyword(s):

Machine Learning ◽

Big Data ◽

Data Analytics ◽

Decision Makers ◽

Machine Learning Techniques ◽

Human Beings ◽

Raw Data ◽

Learning Techniques ◽

Data Analytic ◽

Information Growth

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Why data is not enough: Digital traces as control of self and self-control

Surveillance & Society ◽

10.24908/ss.v12i2.4741 ◽

2014 ◽

Vol 12 (2) ◽

pp. 243-254 ◽

Cited By ~ 33

Author(s):

Tyler Butler Reigeluth

Keyword(s):

Big Data ◽

Digital Technology ◽

Francophone Literature ◽

The Self ◽

Self Control ◽

Quantified Self ◽

To Come ◽

New Perspective ◽

And Control ◽

Gilbert Simondon

As an alternative to the seemingly natural objectivity and self-evidence of “data,” this paper builds on recent francophone literature by developing a critical conceptualization of “digital traces.” Underlining the materiality and discursiveness of traces allows us to understand and articulate both the technical and sociopolitical implications of digital technology. The philosophies of Gilbert Simondon and Michel Foucault give strong ontological and epistemological groundings for interpreting the relationships between technology and processes of subjectification. In this light, digital traces are framed as objects and products of heteronomous interventions, the logics of which can be traced through the programs and algorithms deployed. Through the empirical examples of “Predictive Policing” and “Quantified Self” digital traces are contrasted with the premises and dreams of Big Data. While the later claims to algorithmically correlative, predict and preempt the future by reducing it to a “what-is-to-come,” the digital trace paradigm offers a new perspective on how forms of self-control and control of the self are interdependent facets of “algorithmic governmentality.”

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Research on the Protection and Inheritance of Opera Art in Linchuan Area Based on the Effectiveness Analysis of Witch Elements in Big Data Era

E3S Web of Conferences ◽

10.1051/e3sconf/202021804031 ◽

2020 ◽

Vol 218 ◽

pp. 04031

Author(s):

Ying Chen

Keyword(s):

Big Data ◽

Social Identity ◽

Daily Life ◽

Human Beings ◽

Folk Culture ◽

Cultural Root ◽

Cultural Symbol ◽

Chinese Nation ◽

Effectiveness Analysis ◽

And Control

Opera art, which is a cultural symbol and life memory of a nation and a region, is the cultural root of people’s homesickness, which combines various artistic elements such as excellent music, dance and poetry of the Chinese nation. Witchcraft custom, which has appeared since the primitive human period, is a series of activities made by human beings to try to explain some phenomena in daily life, and to predict, influence and control the development of implementation objects with the help of illusory supernatural forces. Witches and artists have the same line of thinking-similar social identity, state in action and functions. Get the wizard thinking characteristics of the artist, and how the artist, a stealth wizard, makes the works show the same effect as witchcraft ceremony. From the perspective of big data, this paper analyzes the protection and inheritance of opera art in Linchuan area based on the effectiveness of witchcraft elements, and examines the limitations of traditional means to protect and develop opera art, aiming at protecting and inheriting the inherent folk culture of the Chinese nation.

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Psychological immune system: A model for human beings' psychic apparatus of stress managing

PsycEXTRA Dataset ◽

10.1037/e538952013-010 ◽

2009 ◽

Author(s):

Attila Olah

Keyword(s):

Immune System ◽

Human Beings ◽

System A

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Analytical Study on Big Data

International Journal of Advanced Research in Computer Science and Software Engineering ◽

10.23956/ijarcsse.v8i5.668 ◽

2018 ◽

Vol 8 (5) ◽

pp. 75

Author(s):

Vivek Raich ◽

Pankaj Maurya

Keyword(s):

Information Technology ◽

Big Data ◽

Decision Maker ◽

Analytical Study ◽

Large Data ◽

Decision Makers ◽

Continuous Increase ◽

Analytic Methods ◽

Data Store ◽

Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

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An ayurvedic tablet formulation for ulcer protection

International Research Journal of Pharmaceutical and Applied Sciences ◽

10.26452/irjpas.v10i4.1374 ◽

2020 ◽

Vol 10 (4) ◽

pp. 35-38

Author(s):

Shiva Kumar K ◽

Purushothaman M ◽

Soujanya H ◽

Jagadeeshwari S

Keyword(s):

Pharmacological Activity ◽

The Body ◽

Gastric Ulcers ◽

Antiulcer Activity ◽

Herbal Drugs ◽

Human Beings ◽

Synthetic Drugs ◽

Scientific Investigations ◽

System A ◽

The World

Gastric ulcers or the peptic ulcer is the primary disease that affects the gastrointestinal system. A large extent of the population in the world are suffering from the disease, and the age group of people those who suffer from ulcers are 20-55years. Herbs are known to the human beings that are useful in the treatment of diseases, and there are a lot of scientific investigations that prove the pharmacological activity of herbal drugs. Practitioners have been using the herbal material to treat the ulcers successfully, and the same had been reported scientifically. Numerous publications have been made that proves the antiulcer activity of the plants around the world. The tablets were investigated for the antiulcer activity in two doses 200 and 400mg/kg in albino Wistar rats in the artificial ulcer those are induced by the ethanol. The prepared tablets showed a better activity compared to the standard synthetic drug and the marketed ayurvedic formulation. The tablets showed a dose-dependent activity in ulcer prevention and treatment. Many synthetic drugs are available for the ulcer treatment, and the drugs pose the other problems in the body by showing the side effects and some other reactions. This limits the use of synthetic drugs to treat ulcers effectively. Herbs are known to the human beings that are useful in the treatment of diseases, and there are a lot of scientific investigations that prove the pharmacological activity of herbal drugs.

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