Fluorescent nanoparticle-based Internet of things

Fichera, Luca; Destri, Giovanni Li; Tuccitto, Nunzio

doi:10.1039/d0nr01365j

Cited by 19 publications

(12 citation statements)

References 23 publications

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“…The structural design analysis of the Internet of Things is the core of the IOT product design model. On the one hand, the process of structural design is the process of clarification and optimization of the product business process, so as to save product development and production costs and provide consumers with a better user experience [25]. The overall task of the research is to establish a high-precision model to retrieve the suspended sediment concentration from GOCI satellite images, and then perform simple spatial dynamics and day-night cycle analysis of the sediment.…”

Section: A Iot Structure Designmentioning

confidence: 99%

Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

et al. 2021

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The measurement of the concentration of suspended sediment in a water body is a very important content in the observation of hydrological elements, and it is also one of the important parameters for calculating the sediment resuspension flux. In order to accurately predict the distribution of lake sediment, this paper uses satellite remote sensing data to invert the suspended sediment concentration. The key to the quantitative inversion is the atmospheric correction and the suspended sediment concentration inversion algorithm. In this paper, satellite remote sensing technology and Internet of Things technology are combined to establish a new type of lake suspended sediment concentration distribution model. First of all, this paper combines the results of satellite remote sensing inversion and the results of on-site water sample inspections of the Internet of Things to obtain the original hydrological data of suspended sediment in the lake. Secondly, this paper combines ADAM with deep learning technology to simulate the lake flow field and predict the dynamic process of suspended sediment pollution under different conditions. Finally, through experimental simulation and field sampling experiments, the validity of the lake suspended sediment concentration model established in this paper is verified. This model can provide assistance for relevant agencies to grasp the temporal and spatial distribution of suspended sediment concentration in regional lakes in a comprehensive and timely manner, and can obtain the overall characteristics of the study area and the impact of humanistic engineering construction.INDEX TERMS Lake sediment concentration, Internet of Things, temporal and spatial distribution, satellite remote sensing, ADAM

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Section: A Iot Structure Designmentioning

confidence: 99%

Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

et al. 2021

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“…When a beam of X-rays passes through the human body, it will be attenuated due to absorption and scattering [18,19]. However, due to the different density and atomic composition of various tissues of the human body, the degree of absorption and scattering is also different, that is, different tissues of the human body have different attenuation coefficients for X-rays [20,21]. In general, when X-rays with the same energy are used for incidence, the higher the density of human tissues, the greater the attenuation of X-rays, and the lower the density of human tissues, the lower the attenuation of Xrays.…”

Section: Ct Tomography Technologymentioning

confidence: 99%

Research on Data Optimization of CT System for Patients with Severe Pneumonia Based on Filtered Back Projection and Internet of Things

Qin

Wang

2021

Wireless Communications and Mobile Computing

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CT technology can clearly and intuitively display the internal structure, composition, material, and defect status of the detected object under the condition of no damage to the detected object. This paper is based on the filtering back projection and the Internet of Things technology to carry out the data optimization of the CT system of patients with severe pneumonia. First of all, the Internet of Things technology is used in the structural design and operation process of the CT system for patients with severe pneumonia, which improves the advancement and convenience of the original system. Secondly, the system data is optimized through the filtering back projection algorithm, which improves the data accuracy and transmission efficiency. Finally, simulation tests have verified the effectiveness of the established CT system data optimization method for patients with severe pneumonia, which is helpful for medical comparison, analysis, and diagnosis.

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“…With the advent of the era of big data and artificial intelligence, the learning methods, teaching methods, and cognitive methods of English distance education have undergone major changes. e characteristics of the era require new connotations to be injected into learning support services; from the traditional unified, the fixed learning support services have shifted to the development of personalized English teaching design, curriculum management, and learning evaluation services [24]. e conceptual diagram of English education cloud classroom is shown in Figure 1.…”

Section: English Education Cloud Classmentioning

confidence: 99%

Cloud Classroom Design for English Education Based on Internet of Things and Data Mining

Luo

2021

Mobile Information Systems

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The Informa ionization of social life and the globalization of economy have made the importance of English increasingly prominent. Building an information-based teaching platform for supplementary teaching under the network environment has become a mainstream teaching method in various basic schools. How to integrate various types of multimedia teaching resources into English classroom teaching has become the main goal of the current college teaching reform. Aiming at the shortcomings of the current English education classroom, this paper designs and develops an English education cloud classroom based on the Internet of Things and data mining methods. First of all, the system adopts a three-tier B/S model, the development platform chooses, NET, the development language, uses ASP.NET, and the database chooses SQL server. Secondly, the data mining method is used to clean and organize the data in the cloud classroom background to explore the course education status behind the data. Finally, the simulation test analysis verifies the efficiency of the English education cloud classroom established in this article.

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Fluorescent nanoparticle-based Internet of things

Abstract: The first working molecular-IoT prototype, based on a chemical communication network, was developed by employing three different carbon nanoparticles.

Cited by 19 publications

References 23 publications

Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

Temporal and Spatial Distribution of Suspended Sediment Concentration in Lakes Based on Satellite Remote Sensing and Internet of Things

Research on Data Optimization of CT System for Patients with Severe Pneumonia Based on Filtered Back Projection and Internet of Things

Cloud Classroom Design for English Education Based on Internet of Things and Data Mining

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