scholarly journals Application of a Big Data Framework for Data Monitoring on a Smart Campus

2019 ◽  
Vol 11 (20) ◽  
pp. 5552 ◽  
Author(s):  
William Villegas-Ch ◽  
Jhoann Molina-Enriquez ◽  
Carlos Chicaiza-Tamayo ◽  
Iván Ortiz-Garcés ◽  
Sergio Luján-Mora
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Intelligent Environment ◽  
University Campuses ◽  
Sustainable Environment ◽  
Data Framework ◽  
Smart Campus ◽  
Management Processes ◽  
The Internet Of Things

At present, university campuses integrate technologies such as the internet of things, cloud computing, and big data, among others, which provide support to the campus to improve their resource management processes and learning models. Integrating these technologies into a centralized environment allows for the creation of a controlled environment and, subsequently, an intelligent environment. These environments are ideal for generating new management methods that can solve problems of global interest, such as resource consumption. The integration of new technologies also allows for the focusing of its efforts on improving the quality of life of its inhabitants. However, the comfort and benefits of technology must be developed in a sustainable environment where there is harmony between people and nature. For this, it is necessary to improve the energy consumption of the smart campus, which is possible by constantly monitoring and analyzing the data to detect any anomaly in the system. This work integrates a big data framework capable of analyzing the data, regardless of its format, providing effective and efficient responses to each process. The method developed is generic, which allows for its application to be adequate in addressing the needs of any smart campus.

scholarly journals Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management

2021 ◽  
Vol 13 (11) ◽  
pp. 6372
Author(s):  
Vincenzo Varriale ◽  
Antonello Cammarano ◽  
Francesca Michelino ◽  
Mauro Caputo
Keyword(s):  
Supply Chains ◽  
New Technologies ◽  
Emerging Technologies ◽  
Sustainable Supply Chains ◽  
Time Performance ◽  
Order Management ◽  
Management Processes ◽  
Managerial Implications ◽  
The Impact ◽  
The Internet Of Things

The digital transformation of supply chains should revolutionize entire management processes and improve various aspects of sustainability. In particular, the plans of Industry 4.0 aim towards a digitization of several procedures by exploiting emerging technologies such as the Internet of Things, RFID and blockchain. The purpose of this study is to highlight how order and disruption events processes can be improved with the adoption of emerging technologies and how this reflects on the improvement of sustainability aspects. The study is based on the comparison of two simulation scenarios between three actors in the cheese supply chain. In particular, a first traditional scenario “as is” is simulated without the use of new technologies and is compared to a second scenario “to be” that adopts IoT, RFID and blockchain. The results show an improvement in time performance for managing both perfect and non-compliant orders. The developed framework highlights the impact of new technologies on sustainability aspects, showing further managerial implications.

scholarly journals The Construction and Thinking of Cloud Computing and Big Data Technology in Smart Campus

2019 ◽  
Vol 3 (2) ◽  
pp. 152
Author(s):  
Xianglan Wu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Information Technologies ◽  
Rapid Development ◽  
Smart Campus ◽  
Huge Data ◽  
New Information ◽  
Big Data Technology

<p>In today's society, the rise of the Internet and rapid development make every day produce a huge amount of data. Therefore, the traditional data processing mode and data storage can not be fully analyzed and mined these data. More and more new information technologies (such as cloud computing, virtualization and big data, etc.) have emerged and been applied, the network has turned from informationization to intelligence, and campus construction has ushered in the stage of smart campus construction.The construction of intelligent campus refers to big data and cloud computing technology, which improves the informatization service quality of colleges and universities by integrating, storing and mining huge data.</p>

Why privacy is not enough privacy in the context of “ubiquitous computing” and “big data”

2014 ◽  
Vol 12 (2) ◽  
pp. 93-106 ◽  
Author(s):  
Tobias Matzner
Keyword(s):  
Big Data ◽  
Ubiquitous Computing ◽  
New Technologies ◽  
Personal Data ◽  
Quality Of Data ◽  
Content Type ◽  
Privacy Threats ◽  
New Concepts ◽  
New Perspective

Purpose – Ubiquitous computing and “big data” have been widely recognized as requiring new concepts of privacy and new mechanisms to protect it. While improved concepts of privacy have been suggested, the paper aims to argue that people acting in full conformity to those privacy norms still can infringe the privacy of others in the context of ubiquitous computing and “big data”. Design/methodology/approach – New threats to privacy are described. Helen Nissenbaum's concept of “privacy as contextual integrity” is reviewed concerning its capability to grasp these problems. The argument is based on the assumption that the technologies work, persons are fully informed and capable of deciding according to advanced privacy considerations. Findings – Big data and ubiquitous computing enable privacy threats for persons whose data are only indirectly involved and even for persons about whom no data have been collected and processed. Those new problems are intrinsic to the functionality of these new technologies and need to be addressed on a social and political level. Furthermore, a concept of data minimization in terms of the quality of the data is proposed. Originality/value – The use of personal data as a threat to the privacy of others is established. This new perspective is used to reassess and recontextualize Helen Nissenbaum's concept of privacy. Data minimization in terms of quality of data is proposed as a new concept.

Green Internet of Things (G-IoT)

2019 ◽  
pp. 379-405 ◽  
Author(s):  
Arun Solanki ◽  
Anand Nayyar
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
New Technologies ◽  
Negative Impact ◽  
Human Life ◽  
Green Technology ◽  
Sustainable Environment ◽  
Depth Analysis ◽  
Greenhouse Effects

Smart world is envisioned via the fusion of diverse technologies like sensor communications, cloud computing, internet of things, AI, machine and deep learning. No doubt, new technologies bring revolution and innovation in every aspect of human life, but they are accompanied by lots of limitations in terms of energy wastage, environmental hazards like carbon or other chemical emissions, extreme consumption of natural or renewable sources and greenhouse effects. In order to minimize the negative impact of these technologies on the environment, it is utmost important to move towards green technology. That is the reason researchers are working hard and moving towards green computing, ICT, and IoT. This chapter explores an in-depth analysis of principles of G-IoT, making significant progress towards improvising the quality of life and sustainable environment. In addition to this, the chapter outlines various Green ICT technologies explores potential towards diverse real-time areas and also highlights various challenges acting as a barrier towards G-IoT implementation in the real world.

scholarly journals Interpreting, analyzing and distributing information: A big data framework for competitive intelligence

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Eduardo Luis Casarotto ◽  
Guilherme Cunha Malafaia ◽  
Marta Pagán Martínez ◽  
Erlaine Binotto
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Technological Innovation ◽  
New Technologies ◽  
Decision Makers ◽  
Strategic Decision ◽  
Competitive Intelligence ◽  
Technological Innovations ◽  
Data Sets ◽  
Data Framework

This paper aimed to develop a data-based technological innovation frameworkfocused on the competitive intelligence process. Technological innovations increasinglytransform the behavior of societies, affecting all sectors. Solutions such as cloud computing, theInternet of Things, and artificial intelligence provide and benefit from a vast generation of data:large data sets called Big Data. The use of new technologies in all sectors increases in the faceof such innovation and technological mechanisms of management. We advocated that the use ofBig Data and the competitive intelligence process could help generate or maintain a competitiveadvantage for organizations. We based the proposition of our framework on the concepts of BigData and competitive intelligence. Our proposal is a theoretical framework for use in thecollection, treatment, and distribution of information directed to strategic decision-makers. Itssystematized architecture allows the integration of processes that generate information fordecision making.

Is there a classical role for the clinical laboratory in digital health?

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Ferruccio Ceriotti
Keyword(s):  
Big Data ◽  
New Technologies ◽  
Clinical Laboratory ◽  
Point Of Care ◽  
Digital Health ◽  
Laboratory Data ◽  
Research Education ◽  
Chip Technology

Abstract The classical role of the clinical laboratory, seen as the central place where the samples converge and from where the results are distributed, will be challenged by the development of digital health, the application of information technology (big data) and genomics to health care. When the development of disruptive new technologies will allow the production of accurate results outside the laboratory, its role will dramatically change. However, several factors are slowing down these evolutions. The quality of the existing data is relatively poor: lack of standardization of results, different units, different reference intervals, etc. The lab-on-a-chip technology is still relatively far from broad range application and the costs are higher than the traditional methods. There is the need for regulations of direct to consumer approaches that are posing big ethical problems. In the future, the clinical laboratory will maintain part of the “classical” role in the areas of research education and services. The large production will continue, favored by consolidation and reduction of the number of laboratories. The specialists of laboratory medicine have the task of collaborating with the national scientific societies and with the industry for improving harmonization of all the production phases, thus allowing the production of meaningful big data. Clinical laboratories have the role of implementing translational medicine. The new point-of-care (POC) technologies still need validation, the clinical laboratory is the place to do it. The advisory role toward clinicians and patients has to be improved, and a role in validating laboratory data interpretation apps and in controlling and supervising the functionality and the quality of the POC devices has to be developed.

Closing reflections: the future is cooperation

2019 ◽  
pp. 553-560
Author(s):  
John Child ◽  
David Faulkner ◽  
Stephen Tallman ◽  
Linda Hsieh
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
New Technologies ◽  
Business Environment ◽  
The Internet ◽  
Cooperative Strategy ◽  
Viable Solution ◽  
The Internet Of Things

In concluding the book, Chapter 25 argues that cooperation is becoming the preferred strategy for business and public organizations to adopt in the new economy. It is taking on new forms that are adapted to changing market expectations and new technological possibilities in the rapidly evolving business environment. New technologies such as ICT and blockchain are reducing the potential for and value of partner opportunism, making cooperation more efficient and less costly while enabling managers to pinpoint potential partners for ever more focused purposes. Cooperative strategy offers a viable solution for pooling together the required resources to seize the opportunities offered by Industry 4.0, which is driven by AI, the Internet of Things, and Big Data. Looking ahead, the personalization of technologies envisaged in Industry 5.0 will require an increasing number of collaborations between organizations from different sectors, both firms and social/public bodies.

scholarly journals Smart Campus: Trends in cybersecurity and future development

2018 ◽  
Vol 27 (47) ◽  
Author(s):  
Brayan Sánchez-Torres ◽  
Jesús Alberto Rodríguez-Rodríguez ◽  
Dewar Willmer Rico-Bautista ◽  
César D. Guerrero
Keyword(s):  
Decision Making ◽  
Internet Of Things ◽  
Future Development ◽  
Technological Development ◽  
Wireless Sensor ◽  
Academic Learning ◽  
The Internet ◽  
Smart Campus ◽  
The Internet Of Things

Smart Campus is an entity of any kind that uses technology and infrastructure to support and improve its processes, so people can use them better. This paper reviews the literature to contextualize the Internet of Things and its vital importance for the Smart Campus, as well as its relationship with the concepts of cybersecurity and wireless sensor network. We describe the various interrelationships, tendencies, and future development of a Smart Campus, as well as the differences and similarities with the emerging concept of Smart University. This review revealed that the Internet of Things is involved in all fields and can influence and improve the university’s processes to contribute to decision-making, technological development, and academic learning. To conclude, Smart University focuses on improving the infrastructure of universities through technology, with the main purpose of enhancing the quality of the education provided by institutions.

scholarly journals Novosibirsk as a “Smart City”

2020 ◽  
Vol 20 (4) ◽  
pp. 46-60
Author(s):  
Elena A. Kostina
Keyword(s):  
Big Data ◽  
Smart City ◽  
Urban Population ◽  
The Internet ◽  
The Third ◽  
Skilled Workforce ◽  
The Creation ◽  
The Internet Of Things ◽  
Modern Technologies

In recent years, we have witnessed a rapid and profound growth of urban population. The challenge to improve the quality of the urban environment is becoming increasingly important. Competition among the cities for highly skilled workforce, companies, investors, and even international events is also growing. With the advancement in modern technologies, especially IT, the Internet of things and big data, the creation of a “smart city” seems to be an excellent opportunity for the urban development. More and more cities are striving to follow this path, and Novosibirsk – the third largest city in Russia – is not an exception. This article analyzes the concept of a smart city, the advantages and barriers that impede the creation of a “smart city”, and considers the prospects of Novosibirsk as a “smart city”. The article suggests possible ways for Novosibirsk development as a “smart city”.

scholarly journals Smart Architectural Framework for Symmetrical Data Offloading in IoT

Symmetry ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1889
Author(s):  
Malvinder Bali ◽  
Kamali Gupta ◽  
Deepika Koundal ◽  
Atef Zaguia ◽  
Shubham Mahajan ◽  
...  
Keyword(s):  
New Technologies ◽  
Performance Metrics ◽  
Smart Devices ◽  
Data Traffic ◽  
Data Offloading ◽  
Advantages And Disadvantages ◽  
Huge Data ◽  
Architectural Framework ◽  
The Internet Of Things

With new technologies coming to the market, the Internet of Things (IoT) is one of the technologies that has gained exponential rise by facilitating Machine to Machine (M2M) communication and bringing smart devices closer to end users. By 2025, it is expected that IoT will bring together 78.4 billion of devices, thus improving the quality of life beyond our imagination; however, there are multiple potential challenges, such as the exploitation of energy consumption and the huge data traffic being generated by smart devices causing congestion and utilizing more bandwidth. Various researchers have provided an alternative to this problem by performing offloading of data, the task and computational requirements of an application at edge and fog nodes of IoT, thus helping to overcome latency issues for critical applications. Despite the importance of an offloading approach in IoT, there is need for a systematic, symmetric, comprehensive, and detailed survey in this field. This paper provides a systematic literature review (SLR) on data offloading approaches in IoT network at edge and fog nodes in the form of a classical taxonomy in order to recognize the state-of-the art mechanism(s) associated with this important topic and provide open consideration of issues as well. All of the research on classified offloading approaches done by researchers is compared with each other according to important factors such as performance metrics, utilized techniques, and evaluation tools, and their advantages and disadvantages are discussed. Finally, an efficient smart architecture-based framework is proposed to handle the symmetric data offloading issues.

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