scholarly journals IoT in the wild: what negotiating public deployments can tell us about the state of the Internet of Things

2018 ◽  
Author(s):  
D. Hay ◽  
B. Buyuklieva ◽  
J. Daothong ◽  
B. Edmonds ◽  
A. Hudson-Smith ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The State ◽  
The Internet ◽  
In The Wild ◽  
The Internet Of Things

scholarly journals A Runway Surface Monitor using Internet of Things

2014 ◽  
Vol 65 (3) ◽  
pp. 169-173 ◽  
Author(s):  
Amedeo Troiano ◽  
Eros Pasero
Keyword(s):  
Internet Of Things ◽  
Traffic Safety ◽  
The State ◽  
Ice Formation ◽  
The Internet ◽  
Entire System ◽  
Maintenance Costs ◽  
North West ◽  
The North ◽  
The Internet Of Things

Abstract The monitoring of runway surfaces, for the detection of ice formation or presence of water, is an important issue for reducing maintenance costs and improving traffic safety. An innovative sensor was developed to detect the presence of ice or water on its surface, and its repeatability, stability and reliability were assessed in different simulations and experiments, performed both in laboratory and in the field. Three sensors were embedded in the runway of the Turin-Caselle airport, in the north-west of Italy, to check the state of its surface. Each sensor was connected to a GPRS modem to send the collected data to a common database. The entire system was installed about three years ago, and up to now it shows correct work and automatic reactivation after malfunctions without any external help. The state of the runway surface is virtual represented in an internet website, using the Internet of Things features and opening new scenarios.

scholarly journals Design of an Intelligent Garbage Container that Allows to Monitor the Waste for its Proper Collection

2022 ◽  
Vol 12 (1) ◽  
pp. 31-39
Author(s):  
Robert Cerna Duran ◽  
◽  
Brian Meneses Claudio ◽  
Alexi Delgado
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Environmental Problem ◽  
Intelligent System ◽  
Research Work ◽  
The State ◽  
The Internet ◽  
Keywords Internet ◽  
The World ◽  
The Internet Of Things

The increase in garbage production today is due to the exponential growth of the population worldwide, due to the fact that thousands of tons of garbage are generated daily around the world, but the mismanagement that gives them has become an environmental problem since 33% of all the garbage generated is not recycled, for that reason it is estimated that within the next three decades the amount of waste worldwide will increase to 70%. That is why in the present research work it is proposed to make an intelligent system based on the Internet of Things (IoT) that allows monitoring the garbage containers in real time representing with percentages the state of these containers and these can be collected in time by garbage trucks, and thus avoid the increase of garbage in the streets and the various types of problems that these would cause. As a result, it was obtained that the System does comply with the established conditions because it allows to monitor in real time representing by percentages the state of the garbage container, which indicates 40% as almost full and 80% indicates that it is already available for collection. Finally, it is concluded that using the Garbage Container Monitoring System will allow to better optimize the collection process and, in addition, the problems that are usually perceived today due to the amount of garbage that are registered in the streets will decrease. Keywords-- Internet of Things; Intelligent system; Real time; Environmental Problem; Monitoror; Percentage.

The principles of unique identification of library documents in automatic proximity identification systems

2021 ◽  
Vol 1 (2) ◽  
pp. 65-80
Author(s):  
I. V. Timoshenko
Keyword(s):  
Information Systems ◽  
Internet Of Things ◽  
Full Range ◽  
The State ◽  
The Internet ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Library Automation ◽  
Communication Environment ◽  
The Internet Of Things

The author examines prospects for applying the full-range standard functionalities of automatic proximity identification systems. He discusses their performance capabilities for unique identification of library documents in the library information systems of different scaling plateau; using standards library standard identifiers in non-library information systems; the functionality of automatic proximity identification systems for library automation. The RFID technology plays the key role in developing automatic proximity identification. The library application features are examined from the viewpoint of harmonization with international and RF standards of automatic proximity identification systems. Developing the Internet of things concept gives into a new communication environment emerging based on the automatic proximity identification. This technology's standard capabilities may significantly expand the functionality of library automation. Integration of library information systems with global automatic identification systems is on agenda which is evidenced by the logic of development of information systems and library RFID.The article is written within the framework of the State Order № 730000F.99.1.BV09АА00006.

Parking Guidance System Based on RFID

2013 ◽  
Vol 860-863 ◽  
pp. 2787-2790
Author(s):  
Rong Chun Sun ◽  
Yan Piao
Keyword(s):  
Internet Of Things ◽  
The State ◽  
Guidance System ◽  
The Internet ◽  
Parking Space ◽  
State Information ◽  
Control Center ◽  
Ultrasound Sensor ◽  
The Internet Of Things ◽  
Parking Place

With the rapid increase of vehicles, the problem of parking has become very serious. So to guidance drivers to park is significant. A parking guidance system was proposed. Firstly, parking place is divided into different regions. Then the state of the parking space in a parking region is detected by ultrasound sensor, and the state of the parking region in a parking is detected by RFID reader. Through the internet of things, the state information is transmitted to the control center in real time that mainly is an industrial computer and is responsible for dealing with the state information and sending guidance commands to displaying signs, which are at crossroad and guidance passing cars. The experiment results show that the parking guidance system works well, and has the value of application and promotion to some extent.

The Internet of Things and Information Fusion: Who Talks to Who?

2021 ◽  
Author(s):  
Soroush Saghafian ◽  
Brian Tomlin ◽  
Stephan Biller
Keyword(s):  
Internet Of Things ◽  
Performance Metrics ◽  
The State ◽  
Operating Conditions ◽  
Problem Definition ◽  
The Internet ◽  
Inference Models ◽  
Long Run ◽  
Target Set ◽  
The Internet Of Things

Problem definition: Autonomous sensors connected through the internet of things (IoT) are deployed by different firms in the same environment. The sensors measure an important operating-condition state variable, but their measurements are noisy, so estimates are imperfect. Sensors can improve their own estimates by soliciting estimates from other sensors. The choice of which sensors to communicate with (target) is challenging because sensors (1) are constrained in the number of sensors they can target and (2) only have partial knowledge of how other sensors operate—that is, they do not know others’ underlying inference algorithms/models. We study the targeting problem, examine the evolution of interfirm sensor communication patterns, and explore what drives the patterns. Academic/practical relevance: Many industries are increasingly using sensors to drive improvements in key performance metrics (e.g., asset uptime) through better information on operating conditions. Sensors will communicate among themselves to improve estimation. This IoT vision will have a major impact on operations management (OM), and OM scholars need to develop and examine models and frameworks to better understand sensor interactions. Methodology: Analytic modeling combining decision-making, estimation, optimization, and learning is used. Results: We show that when selecting its target(s), each sensor needs to consider both the measurement quality of the other sensors and its level of familiarity with their inference models. We establish that the state of the environment plays a key role in mediating quality and familiarity. When sensor qualities are public, we show that each sensor eventually settles on a constant target set, but this long-run target set is sample-path dependent (i.e., dependent on past states) and varies by sensor. The long-run network, however, can be fully defined at time zero as a random directed graph, and hence, one can probabilistically predict it. This prediction can be made perfect (i.e., the network can be identified in a deterministic way) after observing the state values for a limited number of periods. When sensor qualities are private, our results reveal that sensors may not settle on a constant target set but the subset among which it cycles can still be stochastically predicted. Managerial implications: Our work allows managers to predict (and influence) the set of other firms with which their sensors will form information links. Analogous to a manufacturer mapping its supplier base to help manage supply continuity, our work enables a firm to map its sensor-based-information suppliers to help manage information continuity.

scholarly journals Review of the Complexity of Managing Big Data of the Internet of Things

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
David Gil ◽  
Magnus Johnsson ◽  
Higinio Mora ◽  
Julian Szymański
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Internet Of Things ◽  
State Of The Art ◽  
The State ◽  
The Internet ◽  
Novel Technologies ◽  
Extensible Markup ◽  
Description Framework ◽  
The Internet Of Things

There is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing field of the Internet of Things (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description Framework (RDF), and the application of machine learning methods to carry out classifications, predictions, and visualizations. In this review, the state of the art of all the aforementioned aspects of Big Data in the context of the Internet of Things is exposed. The most novel technologies in machine learning, deep learning, and data mining on Big Data are discussed as well. Finally, we also point the reader to the state-of-the-art literature for further in-depth studies, and we present the major trends for the future.

scholarly journals ANALYSIS OF THE STATE OF THE EUROPEAN PUBLIC INTERNET OF THINGS MARKET AND THE INTRODUCTION OF TECHNOLOGY IN ENTERPRISES

2021 ◽  
Vol 2021 (2) ◽  
Author(s):  
L. Zakharkina ◽  
Y. Okhrimchuk
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
The State ◽  
The Internet ◽  
Information And Communication ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Large Enterprises

The article analyzes the degree of implementation of information and communication technologies, in particular the Internet of Things in Europe at all levels, from individuals and households to large enterprises. An assessment of the regional distribution of internet use across European countries was performed to identify dependence between the pace of development and level of utilization of Internet of Things technology. The purpose of this study is to analyze the level of mastering of information and communication technologies by European citizens and enterprises, in particular the state of development and the level of application of the Internet of Things. In the course of the research, the methods of systematic and comparative analysis, statistical research and logical generalization were used. Based on the processing of European statistical reports, discrepancies were found between the degree of development of Internet of Things technologies, since the northern and western regions have a more developed technological base than the southern or eastern regions. Among private users of IoT technologies, technological solutions for managing the power consumption of a smart home are most popular, and among smart devices for connecting to the network, they most often choose to use the internet on a TV. The analysis of internet userbase indicates the existence of a divide in digital area, and its likely increase in the next few years, due to the gradual introduction of 5G Internet services. Based on the results of the analysis of the IT infrastructure of European enterprises, the most popular tools for applying Internet of things technology were identified. The analysis showed that European enterprises most frequently choose smart meters, smart lamps, and smart thermostats to optimize energy consumption in the premises of the enterprise among other devices and systems that can be monitored or remotely controlled via the Internet. It was found that large enterprises mostly used devices or systems to optimize energy consumption in the premises of the enterprise, and among medium and small enterprises, tools for optimizing logistics were most often used.

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