scholarly journals Semantic-Linked Data Ontologies for Indoor Navigation System in Response to COVID-19

2021 ◽  
Vol 10 (9) ◽  
pp. 607
Author(s):  
Abdullah Alamri
Keyword(s):  
Linked Data ◽  
Global Scale ◽  
Indoor Navigation ◽  
Accurate Information ◽  
Humanitarian Crisis ◽  
Social Distancing ◽  
Indoor Space ◽  
Crowd Density ◽  
Indoor Navigation System ◽  
Human Density

Indoor navigation has become more important these days due to the current situation worldwide in the aftermath of the outbreak of the COVID-19 pandemic, posing an unparalleled threat amounting to a humanitarian crisis on a global scale. Indoor navigation employs a variety of technologies, including Wi-Fi, Bluetooth, and RFID. Support for these technologies requires accurate information and appropriate processing and modeling to help and direct users of the optimal route to desired destinations and to monitor crowd density in order to maintain social distancing. This research will present a semantic indoor ontology model for indoor navigation and the reduction of human density in indoor space to ensure social distancing and prevent transmission. The proposed system is based on semantic representations of the components of navigation paths which, in turn, enable reasoning functionality. Despite the system’s complexity, the evaluation revealed that it functions well.

scholarly journals Risk of COVID-19 Infection in Public Transportation: The Development of a Model

2021 ◽  
Vol 18 (23) ◽  
pp. 12790
Author(s):  
Junsik Park ◽  
Gurjoong Kim
Keyword(s):  
Public Transportation ◽  
Ventilation System ◽  
Ventilation Rate ◽  
Accurate Information ◽  
Risk Of Infection ◽  
Social Distancing ◽  
Indoor Space ◽  
The Government ◽  
Major Factors ◽  
Indoor Spaces

South Korea’s social distancing policies on public transportation only involve mandatory wearing of masks and prohibition of food intake, similar to policies on other indoor spaces. This is not because public transportation is safe from coronavirus disease 2019 (COVID-19), but because no suitable policies based on accurate data have been implemented. To relieve fears regarding contracting COVID-19 infection through public transportation, the government should provide accurate information and take appropriate measures to lower the risk of COVID-19. This study aimed to develop a model for determining the risk of COVID-19 infection on public transportation considering exposure time, mask efficiency, ventilation rate, and distance. The risk of COVID-19 infection on public transportation was estimated, and the effectiveness of measures to reduce the risk was assessed. The correlation between the risk of infection and various factors was identified through sensitivity analysis of major factors. The analysis shows that, in addition to the general indoor space social distancing policy, ventilation system installation, passenger number reduction in a vehicle, and seat distribution strategies were effective. Based on these results, the government should provide accurate guidelines and implement appropriate policies.

scholarly journals Smart Indoor Navigation System: INCREDISCOPE

2021 ◽  
Vol 25 (1) ◽  
pp. 61-66
Author(s):  
Paweł Dominik ◽  
Jacek Marcinkowski
Keyword(s):  
Navigation System ◽  
Technical Information ◽  
Global Scale ◽  
Indoor Navigation ◽  
Basic Assumptions ◽  
Innovative Idea ◽  
Indoor Navigation System ◽  
Core Idea ◽  
In The Beginning ◽  
Further Development

The paper presents a newly developed, innovative idea on a global scale system for indoor navigation INCREDISCOPE. The system is fully autonomic, and it is based on e-paper displays technology. The original positioning and navigation system for people inside buildings gives the possibility to intuitively and naturally lead a person to the desired destination. The paper consists of four parts. In the beginning, the short introduction and basic assumptions about indoor navigation and positioning are given. Then the core idea of the system and basic assumptions are introduced. In the third section, some technical information of prepared software is presented. Three different applications were prepared – intended for the system administrator; designated for e-paper displays and a mobile application for users who move inside buildings with their smartphones. The recognition of the users is based on Bluetooth technology. In the paper, two versions of the administrator interface were presented (Admin 1.0 and Admin 2.0). The operation logic of each version is completely different. The first one was too time-consuming during relations table creation. The second one is more intuitive. The last part of the article includes conclusions and prospects for further development of the system.

Indoor Navigation System of Omni-Directional Mobile Robot Based on Static Obstacles Avoidance

2020 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Shaaban Ali Salman ◽  
Qais A. Khasawneh ◽  
Mohammad A. Jaradat ◽  
Mansour Y. Alramlawi
Keyword(s):  
Mobile Robot ◽  
Navigation System ◽  
Indoor Navigation ◽  
Indoor Navigation System

Experimental research of indoor navigation system based on broadcast signals

2020 ◽  
Vol 49 (5) ◽  
pp. 49-57
Author(s):  
A. V. Ksendzuk ◽  
E. A. Surmin ◽  
V. V. Kachesov ◽  
S. O. Zhdanov ◽  
K. S. Shakhalov
Keyword(s):  
Navigation System ◽  
Open Space ◽  
Position Estimation ◽  
Indoor Navigation ◽  
Estimation Accuracy ◽  
Satellite Systems ◽  
Indoor Navigation System ◽  
Point To Point ◽  
Navigation Signals ◽  
Navigation Equipment

Results of an experimental study of a local navigation system based on the processing signals from broadcast sources presented. The results of the development of processing algorithms for point-to-point coordinates estimation of the object are presented. The results of the development of algorithms for trajectories estimation are presented. In performed simulation the possibility of obtaining submeter position estimation accuracy in the proposed system is shown. Development results of the navigation module demonstrator are presented. The results of experimental work in difficult navigation conditions, in the presence of shading, reflections and other factors, are presented. It is shown that the developed navigation module allows in the open space near buildings which partially obscuring the satellite systems signals to obtain accuracy higher than the GNSS navigation equipment. In indoor environment in the absence of satellite navigation signals, the developed module shows positioning accuracy not worse than 1.5 meters and provides a measurement rate 1 Hz and better.

CamNav: a computer-vision indoor navigation system

2021 ◽  
Author(s):  
Abdel Ghani Karkar ◽  
Somaya Al-Maadeed ◽  
Jayakanth Kunhoth ◽  
Ahmed Bouridane
Keyword(s):  
Computer Vision ◽  
Navigation System ◽  
Indoor Navigation ◽  
Indoor Navigation System
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