scholarly journals EXPERIENTIAL VIRTUAL URBAN ENVIRONMENTS: A PRELIMINARY INVESTIGATION

2018 ◽  
Vol 16 (5) ◽  
Author(s):  
Izham Ghani ◽  
Norhafizah Abdul Rahman ◽  
Nadiyanti Mat Nayan ◽  
Azrul Bahaluddin
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Preliminary Investigation ◽  
Urban Environments ◽  
Place Experience ◽  
Level Of Details ◽  
Preliminary Study ◽  
Virtual City ◽  
Being There ◽  
Contextual Setting

Virtual reality (VR) technologies enable users to be virtually immersed in reconstructed cities and streets from around the globe. Immersive technologies could provide users a suggestive sensation of “being there” in a reconstructed virtual urban environments (VUE). This research argues that experiential VUE could promote better understanding of a place while offering unique interactions within its surrounding elements. The aim of this research is to present a preliminary study of the factors determining place experience in a VUE. This research examines two related VUE case studies that offer real-time navigation via a 3D virtual environment (VE) platform to analyse the functionality of the offered interactions and user experience via its contents. Although preliminary investigations have shown some promising results in real-time virtual city walkthroughs, there are still some issues that still need to be addressed in order to provide experiential contents. Based on the findings, this research suggests future VUE improvements focusing on contextual setting, interactivity, navigation, level of details, viewpoints and auditory elements to provide an experiential walkthrough within a VUE. Findings from the case studies would assist and identify specific elements suitable for future development of more meaningful and experiential VUE in the Malaysian context.

scholarly journals EXPERIENTIAL VIRTUAL URBAN ENVIRONMENTS: A PRELIMINARY INVESTIGATION

2018 ◽  
Vol 16 ◽  
Author(s):  
Izham Ghani ◽  
Norhafizah Abdul Rahman ◽  
Nadiyanti Mat Nayan ◽  
Azrul Bahaluddin
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Preliminary Investigation ◽  
Urban Environments ◽  
Place Experience ◽  
Level Of Details ◽  
Preliminary Study ◽  
Virtual City ◽  
Being There ◽  
Contextual Setting

Virtual reality (VR) technologies enable users to be virtually immersed in reconstructed cities and streets from around the globe. Immersive technologies could provide users a suggestive sensation of “being there” in a reconstructed virtual urban environments (VUE). This research argues that experiential VUE could promote better understanding of a place while offering unique interactions within its surrounding elements. The aim of this research is to present a preliminary study of the factors determining place experience in a VUE. This research examines two related VUE case studies that offer real-time navigation via a 3D virtual environment (VE) platform to analyse the functionality of the offered interactions and user experience via its contents. Although preliminary investigations have shown some promising results in real-time virtual city walkthroughs, there are still some issues that still need to be addressed in order to provide experiential contents. Based on the findings, this research suggests future VUE improvements focusing on contextual setting, interactivity, navigation, level of details, viewpoints and auditory elements to provide an experiential walkthrough within a VUE. Findings from the case studies would assist and identify specific elements suitable for future development of more meaningful and experiential VUE in the Malaysian context.

A Pandemic of Violence? The Impact of COVID-19 on Conflict

2020 ◽  
Vol 26 (3) ◽  
Author(s):  
Sara M.T. Polo
Keyword(s):  
Spatial Distribution ◽  
Real Time ◽  
Case Studies ◽  
Armed Conflict ◽  
Event Data ◽  
Social Unrest ◽  
Johns Hopkins University ◽  
The World ◽  
Political Advantage ◽  
The Impact

AbstractThis article examines the impact and repercussions of the COVID-19 pandemic on patterns of armed conflict around the world. It argues that there are two main ways in which the pandemic is likely to fuel, rather than mitigate, conflict and engender further violence in conflict-prone countries: (1) the exacerbating effect of COVID-19 on the underlying root causes of conflict and (2) the exploitation of the crisis by governments and non-state actors who have used the coronavirus to gain political advantage and territorial control. The article uses data collected in real-time by the Armed Conflict Location & Event Data Project (ACLED) and the Johns Hopkins University to illustrate the unfolding and spatial distribution of conflict events before and during the pandemic and combine this with three brief case studies of Afghanistan, Nigeria, and Libya. Descriptive evidence shows how levels of violence have remained unabated or even escalated during the first five months of the pandemic and how COVID-19-related social unrest has spread beyond conflict-affected countries.

Real-time Hevea Leaves Diseases Identification using Sobel Edge Algorithm on FPGA: A Preliminary Study

2018 ◽  
Author(s):  
Norfarahin Mohd Yusoff ◽  
Ili Shairah Abdul Halim ◽  
Noor Ezan Abdullah ◽  
A'zraa Afhzan Ab. Rahim
Keyword(s):  
Real Time ◽  
Preliminary Study

IIOT and Real Time Data Analytics - Maximizing the Impact on Safety and Productivity

2021 ◽  
Author(s):  
Ryan Daher ◽  
Nesma Aldash
Keyword(s):  
Real Time ◽  
Case Studies ◽  
Data Analytics ◽  
Contact Tracing ◽  
Time Data ◽  
Seamless Integration ◽  
Location Services ◽  
Industrial Internet ◽  
Potential Applications ◽  
The Impact

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.

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