Research on Educational Resources Sharing Based on Internet of Things

2012 ◽  
Vol 468-471 ◽  
pp. 3038-3041
Author(s):  
Xiang Zheng Wang ◽  
Yan Qiang Ge

Internet of Things is a special concept of realizing intelligent sense, location, tracking, monitoring and management. It has been formally listed as one of five new large strategic industries. But because the construction of Internet of Things is still stay initial stage of research and exploration. Compared with the current internet, the Internet of Things has not only specific framework system, but also its concept, scope, technology system and standard are not clear. From above, based on grasping the definition, characteristics of the times and current situation of the Internet of Things and combining the connotation of educational resource sharing, this paper just talk over the application of the Internet of Things in education and study how to realize educational resource sharing better with the environment of the Internet of Things.

2021 ◽  
Vol 11 (4) ◽  
pp. 14-41
Author(s):  
Ishtiaq Ahammad ◽  
Ashikur Rahman Khan ◽  
Zayed Us Salehin

The internet of things (IoT) offers a range of benefits for its users, ranging from quicker and more precise perception of our ecosystem to more cost-effective monitoring of manufacturing applications, by taking internet access to the things. Due to the ubiquitous existence of the internet, there's been an increasing pace in the IoT. Such a growing pace has brought about the term of IoT ecosystem. This exponential growing IoT ecosystem will encounter several challenges in its path. Computing domains were used from very initial stage to assist the IoT ecosystem and mitigate those challenges. To understand the impact of computing domains in IoT ecosystem, this paper performs the elaborative study on cloud, fog, roof, and dew computing including their interaction, benefits, and limitations in IoT ecosystem. The brief comparative analysis on these four computing domains are then performed. The impact of internet and offline computing on these computing domains are then analyzed in depth. Finally, this paper presents the suggestions of potential appropriate computing domain strategies for IoT ecosystems.


2013 ◽  
Vol 850-851 ◽  
pp. 541-544
Author(s):  
Li Du

This paper analyzes the development process of the Internet of things and its four key technology, and embedded that system was put forward in the application of Internet of things; The development of the Internet of things is the inevitable outcome of the times development, are bound to change the traditional experience and cognition of the existing, make our perception of the world into the future.


2020 ◽  
pp. 5-12
Author(s):  
Valeria Yurievna Anisimova ◽  
Elena Evgenievna Gredasova

The article analyzes problems in the market of defense and investment engineering products by Russian enterprises. Factors that influence the optimal structure of the production process as a single chain of interaction were studied. Economic business effects of digitalization, advantages and disadvantages were considered. The main expected benefit of digitalization and introduction of the Internet of Things is that the leading global manufacturers of engineering products are still in the initial stage of transition to the creation of Industrie 4.0 products, which will allow them to take the lead in the emerging market of the engineering generation.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jianpeng Zhang

Short information sharing time is one of the problems to be solved in the traditional Internet. Therefore, this paper proposes a hierarchical simulation of the Internet of Things sharing structure framework that trusts the cloud to drive Internet information resource sharing. By setting thresholds and iterative adjustment parameters, a complementary judgment matrix is constructed to obtain the minimum nonnegative deviation value and the optimal weight vector. This paper sorts according to the value of the Internet information security model, obtains the optimal model to avoid human tampering, and designs the information resource acquisition process to ensure the reliability of the source data. We use radio frequency identification (RFID) equipment in the preprocessing of massive heterogeneous data in the Internet of Things. In a network environment where resources are limited and heterogeneous are fully considered, the trust-based adaptive detection algorithm is used to evaluate the credibility of the trust-driven algorithm for hierarchical information resource sharing services in the cloud environment of the Internet of Things. We propose a cloud trust-driven hierarchical information resource sharing Internet information resource model. Firstly, the key characteristics of hierarchical information resource sharing are analyzed. Then, a hierarchical information resource sharing model was established by using specific constraints, trust steepness function, cloud trust evaluation criteria, and trust constraint coefficient. Finally, an example of IoT system is designed to verify the effectiveness of the model. Experimental results show that, compared with the traditional model or algorithm, this model has a good hierarchical sharing effect of the underlying resource information.


2021 ◽  
Vol 11 (2) ◽  
pp. 59-66
Author(s):  
Apoorva Ganapathy

An edge computing system is a shared IT (Information Technology) system where customer data can be processed at the edge of the network to as close as possible to the originating source. The Internet of Things connects the various things on the internet, making it easier to live and allow jobs to be done more smartly. It also gives total control to the users. The combination of Edge computing and the Internet of Things can potentially result in huge possibilities for users. This work accessed edge computing and the benefits of using edge computing. It also looked into how to edge the many possibilities that can result in the use of edge computing. Various similar concepts like fog and cloud computing were also considered as closely related terms. This article provides insights into the use of edge computing in several industries.


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