Raj Prasanna

Prof. Raj Prasanna

School of Psychology, Massey University Wellington, Palmerston North 4442, New Zealand
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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 November 2021 in SN Computer Science
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NANilani Algiriyage
Nilani Algiriyage
Raj PrasannaRaj Prasanna
Raj Prasanna
KSKristin Stock
Kristin Stock
EHEmma Hudson-Doyle
Emma Hudson-Doyle
DDavid Johnston
David Johnston

1 April 2016 in Computers in Human Behavior
Verified
Journal Article
Closed access
Raj PrasannaRaj Prasanna
Raj Prasanna
THThomas J. Huggins
Thomas J. Huggins

8 March 2022 in Informatics
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Journal Article
Open access
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Raj PrasannaRaj Prasanna
Raj Prasanna
CCChanthujan Chandrakumar
Chanthujan Chandrakumar
Rasika NandanaRasika Nandana
Rasika Nandana
CFcaroline francois-holden
caroline francois-holden
APAmal Punchihewa
Amal Punchihewa
MTMarion Lara Tan
Marion Lara Tan
This paper presents findings from ongoing research that explores the ability to use Micro-Electromechanical Systems (MEMS)-based technologies and various digital communication protocols for earthquake early warning (EEW). The paper proposes a step-by-step guide to developing a unique EEW network architecture driven by a Software-Defined Wide Area Network (SD-WAN)-based hole-punching technology consisting of MEMS-based, low-cost accelerometers hosted by the general public. In contrast with most centralised cloud-based approaches, a node-level decentralised data-processing is used to generate warnings with the support of a modified Propagation of Local Undamped Motion (PLUM)-based EEW algorithm. With several hypothetical earthquake scenarios, experiments were conducted to evaluate the system latencies of the proposed decentralised EEW architecture and its performance was compared with traditional centralised EEW architecture. The results from sixty simulations show that the SD-WAN-based hole-punching architecture supported by the Transmission Control Protocol (TCP) creates the optimum alerting conditions. Furthermore, the results provide clear evidence to show that the decentralised EEW system architecture can outperform the centralised EEW architecture and can save valuable seconds when generating EEW, leading to a longer warning time for the end-user. This paper contributes to the EEW literature by proposing a novel EEW network architecture.

22 February 2018 in Procedia Engineering
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MAMina Adhikari
Mina Adhikari
Douglas PatonDouglas Paton
Douglas Paton
DDavid Johnston
David Johnston
Raj PrasannaRaj Prasanna
Raj Prasanna
SMSamuel T. McColl
Samuel T. McColl
In countries exposed to natural hazards, population preparedness is an important component of a comprehensive disaster risk reduction strategy. Recognition of poor preparedness, despite risk acknowledgement, prompted the development of theories for identifying motivators and barriers to hazard preparedness. While the majority of preparedness theorising and research has been in culturally individualistic countries, recent years have witnessed growing interest in applying the theories to more collectivistic settings. However, limited empirical evidence exists concerning the application of these theories in developing countries where disaster impacts are substantial. This paper assesses population preparedness in the aftermath of a major disaster in a developing country. Two theories of preparedness Protection Motivation Theory (PMT) and Community Engagement Theory (CET), which have been previously applied in natural hazard contexts, were integrated to develop a new model of earthquake hazard preparedness. The validity of the proposed model was explored using 306 household surveys collected from Chainpur and Jeewanpur Village Development Committees, Dhading, Central Nepal during a field visit in April-May 2016. Structural Equation Modelling (SEM) in SmartPLS version 3.2.4 revealed that individual risk beliefs (risk appraisal and coping appraisal) and community and institutional factors could predict hazard preparedness in Nepal. The model was moderately successful (R2 41.6%) in predicting that earthquake hazard preparedness occurs at the individual cognition phase and is also influenced by community and institutional phases.

10 July 2017 in Journal of Enterprise Information Management
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Journal Article
Open access
Raj PrasannaRaj Prasanna
Raj Prasanna
LYLili Yang
Lili Yang
MKMalcolm King
Malcolm King
THThomas J. Huggins
Thomas J. Huggins
Purpose: There has been a lack of meaningful information systems architecture, which comprehensively conceptualise the essential components and functionality of an information system for fire emergency response addressing needs of different job roles. The purpose of this paper is to propose a comprehensive information systems architecture which would best support four of the key firefighter job roles. Design/methodology/approach: The study has built on the outcomes of two previous preliminary studies on information and human-computer interaction needs of core firefighter job roles. Scenario-based action research was conducted with firefighters in a range of roles, to evaluate human-computer interaction needs while using various technology platforms. Findings: Several key themes were identified and led us to propose several layers of an integrated architecture, their composition and interactions. Research limitations/implications: The selected fire scenarios may not represent every type of fire expected in high-risk built environments. Practical implications: The current paper represents a shared discussion between end users, system architects and designers, to understand and improve essential components. It therefore provides a reference point for the development of information system architecture for fire emergency response. Originality/value: The proposed information system architecture is novel because it outlines specific architectural elements required to meet the specific situation awareness needs of different firefighters job roles.

3 November 2021 in Animals
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HSHayley Squance
Hayley Squance
Carol MacDonaldCarol MacDonald
Carol MacDonald
CSCarol Stewart
Carol Stewart
Raj PrasannaRaj Prasanna
Raj Prasanna
DDavid Johnston
David Johnston
Responding to emergencies requires many different individuals and organisations to work well together under extraordinary circumstances. Unfortunately, the management of animal welfare in emergencies remains largely disconnected from emergency management overall. This is due predominately to professional silos and a failure to understand the importance of human–animal-environment (h-a-e) interdependencies. One Welfare (OW) is a concept with these interrelationships at its core. This paper argues that by adopting an OW framework it will be possible to achieve a transdisciplinary approach to emergency management in which all stakeholders acknowledge the importance of the h-a-e interdependencies and work to implement a framework to support this. Acknowledging that such a transformational change will not be easy, this paper proposes several strategies to overcome the challenges and optimise the outcomes for animal welfare emergency management (AWEM). These include legislation and policy changes including h-a-e interface interactions as business as usual, improving knowledge through interprofessional education and training, incorporating One Welfare champions, and recognising the role of animals as vital conduits into communities.