scholarly journals A Conceptual Model of Measurement Uncertainty in IoT Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1827
Author(s):  
Piotr Cofta ◽  
Kostas Karatzas ◽  
Cezary Orłowski

The growing popularity of inexpensive IoT (Internet of Things) sensor networks makes their uncertainty an important aspect of their adoption. The uncertainty determines their fitness for purpose, their perceived quality and the usefulness of information they provide. Nevertheless, neither the theory nor the industrial practice of uncertainty offer a coherent answer on how to address uncertainty of networks of this type and their components. The primary objective of this paper is to facilitate the discussion of what progress should be made regarding the theory and the practice of uncertainty of IoT sensor networks to satisfy current needs. This paper provides a structured overview of uncertainty, specifically focusing on IoT sensor networks. It positions IoT sensor networks as contrasted with professional measurement and control networks and presents their conceptual sociotechnical reference model. The reference model advises on the taxonomy of uncertainty proposed in this paper that demonstrates semantic differences between various views on uncertainty. This model also allows for identifying key challenges that should be addressed to improve the theory and practice of uncertainty in IoT sensor networks.

2004 ◽  
Vol 23 (4) ◽  
pp. 104-113
Author(s):  
R. W. Pretorius

In view of the controversy which characterises systems for quality assurance in higher education worldwide, this article provides a critical review of the theory and practice of quality in the higher education sector.  The state of affairs in South Africa is also reviewed, with the focus on the new system for quality assurance which is currently being implemented.  Despite good intentions, however, the new system in South Africa tends to be over-burocratic, with limited potential for deepseated change and quality improvement as a result of the focus on accountability rather than on continuous improvement. Real improvement is an internally driven process, which cannot be achieved through burocratic measurement and control.  In line with what has been experienced internationally, this article argues that a more flexible approach to the meaning of quality in the context of higher educaction is required in South Africa.  Apart from defining and assuring quality, this approach should also be directed at its improvement.  However, the point of departure has to be quality improvement, and not quality assurance and control.


2012 ◽  
Vol 263-266 ◽  
pp. 2824-2828
Author(s):  
He Gong ◽  
He Long Yu ◽  
Gui Fen Chen ◽  
Zhu Wen

According to the construction situation of intelligent greenhouse in Agriculture Internet of Things in China, designed a measurement and control system of facilities vegetables based on Internet of Things. This design used JN5148 module as the core and applied JenNet stack to set up a wireless network. The environment factors, including temperature and humidity, light intensity, CO2 concentration and so on can be monitored in real-time, at the same time, shutter and water pump were also remote controlled through the GPRS gateway. The test result shows that this system operates stable, measures and controls precisionly, cost low electric quantity and better meet greenhouse environment monitoring and control system applications demand. Introduction


2018 ◽  
Vol 28 (2) ◽  
pp. 186-195
Author(s):  
Maria Mrówczyńska ◽  
Jacek Sztubecki

Abstract ART (Adaptive Resonance Theory) networks were invented in the 1990s as a new approach to the problem of image classification and recognition. ART networks belong to the group of resonance networks, which are trained without supervision. The paper presents the basic principles for creating and training ART networks, including the possibility of using this type of network for solving problems of predicting and processing measurement data, especially data obtained from geodesic monitoring. In the first stage of the process of creating a prediction model, a preliminary analysis of measurement data was carried out. It was aimed at detecting outliers because of their strong impact on the quality of the final model. Next, an ART network was used to predict the values of the vertical displacements of points of measurement and control networks stabilized on the inner and outer walls of an engineering object.


In India 60 percent of total cultivated land is fully dependent on rain and if there is less than average rain fall than it results into significant reduction in the overall agricultural production and it leads heavy losses to farmers and ultimately it affects the overall gross domestic production of India. Banana is an important fruit and it is one of good cash crop in India. In this research work, our aim is to design and implement Banana Crop System (Banntex) to sense crucial parameters and early detection of diseases and control using Wireless Sensor Networks (WSN) and Internet of Things (IoT). To implement Banntex we uses advancement of new technology like Internet of Things (IoT), Sensors development and Improved Wireless Sensor Networks, we can design and developed Precision Agriculture systems in which various sensors are used to measure the different parameters like temperature of air and soil, relative humidity, water potential of banana field, pH value of soil, Electric conductivity of soil, salinity of banana field soil, Moisture changes in soil, soil quality, fertility of soil, ground water quality and crop growth. Based on the measured parameters this system can be used to control and automate the farming processes. This precision system empowers farmers to keep updated, early detection of soil parameters and take necessary steps to improve it further. It results to improve the biomass, roots and overall growth of banana crops and finally it increases productivity and improved quality of farming with minimum manual tasks. Experimental results will show the significant improvement in the Banana crop production and Quality of Banana Fruit using our proposed Banntex System.


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