scholarly journals The Internet of Things Is Digitizing and Transforming Science

2018 ◽  
Vol 23 (5) ◽  
pp. 407-411 ◽  
Author(s):  
Alok Tayi

Over the past decade, cloud software has transformed numerous industries—from finance to logistics, marketing to manufacturing. The simplified aggregation of data, enabled by cloud computing, empowers individuals to glean insights and make data-driven decisions rapidly. In science, however, such a transformation has yet to emerge. The domain lacks centralized, machine-readable repositories of scientific data; this absence inhibits analytics and expedient decision-making. Recently, the Internet of Things (IoT) has served as a catalyst for digitizing and automating science. IoT enables the centralized collection and analysis of scientific data (e.g., instruments, sensors, and environments). Here, we discuss this new technology trend, its applications in laboratories and promise as a platform for improved efficiency, more innovative capabilities, and machine learning/artificial intelligence.

2021 ◽  
Vol 155 ◽  
pp. 107174 ◽  
Author(s):  
Jianxin Wang ◽  
Ming K. Lim ◽  
Chao Wang ◽  
Ming-Lang Tseng

2015 ◽  
Vol 11 (6) ◽  
pp. 28 ◽  
Author(s):  
Ken Cai ◽  
Fenglian Tie ◽  
Haoran Huang ◽  
Hanhui Lin ◽  
Huazhou Chen

By analyzing the current situation of experimental platforms which is based on the Internet of Things (IOT) and the cultivation of talents, we established the talents' cultivating orientation and experiment platform for innovation. In accordance with the requirements of a students' practical and creative ability curriculum, the method of modularization was adopted to design this platform. With this, the platform can basically satisfy the needs of the varying teaching experiments, which can increase opportunities for the students on their comprehensive application. The platform was widely used in experimental and practice teaching in the past three years, such as synthetic experiment, graduate programs, and practice project in Zhongkai University of Agriculture and Engineering, Guilin University of Technology etc. Result shows that the innovation experimental platform has broad application prospects, and effectiveness to meet the requirements of students' in-depth learning and research of IOT technologies. Meanwhile, the platform expanded the students' basic understanding of IOT and improved their innovation.


2012 ◽  
Vol 6-7 ◽  
pp. 957-963 ◽  
Author(s):  
Shun Bing Zhu ◽  
Chun Quan Du ◽  
Miao Miao Niu

The wisdom community is the basic unit of the smart city, is a set of urban management, public services, social services, residents’ autonomy and mutual aid services in one of the new technology applications. This article analyzes the current situation and existing problems of the wisdom community, then described the Internet of Things architecture, equipment features, community cloud computing platform and structure, the last detailed analysis of the wisdom community features and community network video intercom, home security, appliance control, non-contact card access control, card consumption management, community security, community e-service technology and other technical content and features.


History has always been a great indicator of past behaviour as well as of future trends. However, when you think of what future jobs may look like, you do not certainly expect to find a plausible response in the past. Technologies and scientific advancements in general make it almost impossible to predict what you will be required to know in order to get—or maintain—your job in the next six months, let alone in the next couple of years. Whilst disruption seems such a new concept nowadays, we will learn that disruptive innovations have always been part of our story. The authors look at the major industrial revolutions known to humans and discuss patterns to help us prepare for the forthcoming future.


2021 ◽  
Vol 9 (1) ◽  
pp. 17-25
Author(s):  
Shafagat Mahmudova

This article outlines the Internet of Things (IoT). The Internet of Things describes a network of physical objects, i.e., the “thing” including sensors, software, and other technologies for connection and data sharing with other devices and systems over the Internet. In other words, IoT is a relatively new technology enabling many “smart” devices to get connected, to analyze, process, and transfer data to each other and connect to a network. The article clarifies the essence of intelligent systems for the Internet of Things, and analyzes the most popular software for the IoT platform. It studies high-level systems for IoT and analyzes available literature in this field. It highlights most advanced IoT software of 2021. The article also identifies the prospects and challenges of intelligent systems for the Internet of Things. The creation of new intelligent systems for IoT and the development of technology will greatly contribute to the development of economy.


2018 ◽  
Vol 7 (4.37) ◽  
pp. 86
Author(s):  
Marwah Nihad ◽  
Alaa Hassan ◽  
Nadia Ibrahim

The field internet of things and Big Data has become a necessity in our everyday lives due to the broadening of its technology and the exponential increase in devices, services, and applications that drive different types of data. This survey shows the study of Internet of Things (IoT), Big Data, data management, and intermediate data. The survey discusses intermediate data on Big Data and Internet of Things (IoT) and how it is managed. Internet of Things (IoT) is an essential concept of a new technology generation. It is a vision that allows the embedded devices or sensors to be interconnected over the Internet. The future Internet of Things (IoT) will be greatly presented by the massive quantity of heterogeneous networked embedded devices that generate intensively "Big data". Referring to the term intermediate data as the information that is provoked as output data along the process. However, this data is temporary and is erased as soon as you run a model or a sample tool. Also, the existence of intermediate data in both of the Internet of Things (IoT) and Big Data are explained. Here, various aspects of the internet of things, Big Data, intermediate data and data management will be reviewed. Moreover, the schemes for managing this data and its framework are discussed.  


2020 ◽  
pp. 1286-1297
Author(s):  
Arthur Tatnall ◽  
Bill Davey

In the past, it was rare for non-humans to interact with each other without any involvement by humans, but this is changing. The Internet of Things (IoT) involves connections of physical things to the Internet. It is largely about the relationships between things, or non-humans actors. In other cases the ‘Things' seem to have inordinate power. The authors will ask: where does this leave humans? Are the things taking over? As a consideration of interactions like this must be a socio-technical one, in this article the authors will make use of Actor-Network Theory to frame the discussion. While the original applications for IoT technology were in areas such as supply chain management and logistics, now many more examples can be found ranging from control of home appliances to healthcare. It is expected that the ‘Things' will become active participants in business, information and social processes and that they will communicate among themselves by exchanging data sensed from the environment, while reacting autonomously. The Things will continue to develop identities and virtual personalities. In the past non-human actors have needed humans to interact with each other, but this is not the case anymore. In this perhaps provocative and rather speculative article we will look not just at the Internet of Things, but other related concepts such as artificial intelligence and robotics and make use of scenarios from science fiction to investigate the Rise of the Non-Human Actors and where this may lead in the future.


2017 ◽  
Vol 13 (05) ◽  
pp. 134
Author(s):  
Meiyan Du

<p class="0abstract">The purpose is to construct smart park platform by using the Internet of Things technology, to realize the access of intelligent systems and equipment within park, and to effectively coordinate the various systems in the park. Taking advantage of the key technologies of Internet of Things and cloud computing, smart park information hardware architecture and technical solutions are put forward, the sensor and wireless Internet of Things are applied to realize the system. The experimental results showed that the system realizes the information sharing, exchange and fusion between the various sensing subsystems, and solves the information islands phenomenon that existed in the past. In conclusion, this system can meet the actual needs of smart park, and provides a certain reference for similar park construction.</p>


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