Interoperability Case Study: Internet of Things (IoT)

2012 ◽  
Author(s):  
Paul Kominers
Keyword(s):  
Internet Of Things

scholarly journals Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1615
Author(s):  
Zeeshan Ali Khan ◽  
Ubaid Abbasi ◽  
Sung Won Kim
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
K Nearest Neighbors ◽  
Iot Applications ◽  
Processing Resources ◽  
Multiple Services ◽  
Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

Upsurge of IoT (Internet of Things) in engineering education: A case study

2018 ◽  
Author(s):  
Meenaxi M. Raikar ◽  
Padmashree Desai ◽  
M. Vijayalakshmi ◽  
Prashant Narayankar
Keyword(s):  
Internet Of Things ◽  
Engineering Education

Standards for the Internet of Things: A Case Study in Disaster Response

Computer ◽  
2016 ◽  
Vol 49 (5) ◽  
pp. 87-90 ◽  
Author(s):  
Phillip A. Laplante ◽  
Jeffrey Voas ◽  
Nancy Laplante
Keyword(s):  
Internet Of Things ◽  
Disaster Response ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Internet of Things to Improve Agriculture in Sub Sahara Africa - A Case Study

2018 ◽  
Vol 4 (6) ◽  
pp. 8-11 ◽  
Author(s):  
Farian Ishengoma ◽  
Mgeni Athuman
Keyword(s):  
Internet Of Things

scholarly journals Edge Computing for the Internet of Things: A Case Study

2018 ◽  
Vol 5 (2) ◽  
pp. 1275-1284 ◽  
Author(s):  
Gopika Premsankar ◽  
Mario Di Francesco ◽  
Tarik Taleb
Keyword(s):  
Internet Of Things ◽  
Edge Computing ◽  
The Internet ◽  
The Internet Of Things

Internet of Things Infrastructures in Academic Libraries: A Case Study in Iran

2021 ◽  
Vol 20 (Supp01) ◽  
pp. 2140007
Author(s):  
Abbas Harati ◽  
Maryam Shekofteh ◽  
Saeideh Valizadeh-Haghi ◽  
Maryam Kazerani
Keyword(s):  
Internet Of Things ◽  
Academic Libraries ◽  
Reliability And Validity ◽  
State Universities ◽  
Average Score ◽  
Statistical Population ◽  
Depth Study ◽  
Moderate Condition ◽  
Descriptive Survey

Internet of Things (IoT) is going to create many changes in libraries. However, its application in libraries requires the use of various infrastructures. This paper aims to determine IoT infrastructures in academic libraries and examine them in Iranian academic libraries. This is a descriptive survey with two qualitative and quantitative approaches. The statistical population consists of 15 central libraries of state universities of Tehran in 2018. The infrastructures needed to apply this technology in libraries were extracted through an in-depth study method and based on which a researcher-made questionnaire was designed and its reliability and validity were confirmed. The questions were answered in three parts by managers, library staffs, and IT specialists Data analysis was done using descriptive statistics and SPSS software. A total of 4 infrastructures and 42 components were obtained for IoT in libraries. The results showed that the studied libraries, having 60.53% of the required infrastructures are in moderate condition. Technical, financial, legal and human resource infrastructures, respectively, with an average score of 64.85%, 63.7%, 71.23%, and 64.7% are also in moderate condition. The studied libraries are in moderate condition in terms of the required infrastructures for using IoT and are still far from ideal. It is suggested that the identified weaknesses and shortcomings will be addressed by managers and authorities in order to provide the basis for using this technology.

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