Augmented Reality Web Applications with Mobile Agents in the Internet of Things

Author(s):  
Teemu Leppanen ◽  
Arto Heikkinen ◽  
Antti Karhu ◽  
Erkki Harjula ◽  
Jukka Riekki ◽  
...  
Author(s):  
Laura Jarvenpaa ◽  
Markku Lintinen ◽  
Anna-Liisa Mattila ◽  
Tommi Mikkonen ◽  
Kari Systa ◽  
...  

2021 ◽  
Author(s):  
Sergey V. Byvaltsev ◽  
Alexander I. Iskritskiy

Author(s):  
WASIN ALKISHRI ◽  
Mahmood Al-Bahri

Biometrics In conjunction with the new development of the Internet of Things (IoT), augmented reality (AR) systems are evolving to visualize 3D virtual models of the real world into an intelligent and interactive virtual reality environment that facilitates physical identification of objects and defines their specifications efficiently. The integration between AR and IoT in a complementary way helps identify network-related items' specifications and interact with the Internet of Things more efficiently. An identity is a dedicated, publicly known attribute or set of names for an individual device. Typically, identifiers operate within a specific area or network, making it difficult to identify things globally. This paper explores the use of Augmented Reality (AR) Technology for identifying devices and displaying relevant information about the device to the user. Based on the developed model network, the developed system of identification of IoT devices was tested. Also, the traffic generated by the AR device when generating requests to the organization server was investigated. According to the test results, the system is undemanding to the main network indicators. The system-generated traffic is self-similar. The test results show that the server software can solve the problems of identifying IoT devices through interaction with augmented reality devices.


Author(s):  
Teemu Leppänen ◽  
Jukka Riekki ◽  
Meirong Liu ◽  
Erkki Harjula ◽  
Timo Ojala

Computing ◽  
2020 ◽  
Vol 102 (6) ◽  
pp. 1345-1363 ◽  
Author(s):  
Tariq Alsboui ◽  
Yongrui Qin ◽  
Richard Hill ◽  
Hussain Al-Aqrabi

2021 ◽  
Vol 5 (2) ◽  
pp. 50-55
Author(s):  
Dadan Rosana

The blended laboratory model in this study refers to an integrated laboratory concept combining synchronous (real laboratory activities) using the Internet of things (IoT) and asynchronous learning with augmented reality (AR). The application of blended laboratory model in science learning teachers is still low in Indonesia due to the lack of ICT support for online learning. This preliminary study was conducted to analyze the need for the development of the blended laboratory model with IoT and AR involving 45 science teachers and 42 junior high school students as the respondents with stratified random sampling technique. The research method employed survey and focus group discussion. The results of the study showed that (1) 67% of teachers and 92% of students have never used AR, (2) 72% of teachers and 89% of students have never utilized IoT, (3) 65% of science laboratories in the junior high school do not have proper devices for AR application, (5) 76% of science laboratories in the junior high schools are not facilitated with proper equipment for the IoT application, (6) the respondents stated that the development of blended laboratory is very important (72%) and important (18%) to support IT-based learning, especially to deal with the conditions after the Covid-19 outbreak.  ©2021  JSER. Universitas Negeri Yogyakarta


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