ORCID Profile
0000-0001-9704-7822
Current Organisations
RMIT University
,
Central Queensland University
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Publisher: IEEE
Date: 08-2015
Publisher: MDPI AG
Date: 07-11-2018
DOI: 10.3390/SYM10110603
Abstract: This paper presents a fuzzy multicriteria analysis model for evaluating the performance of Internet of Things (IoT)-based supply chains. The inherent uncertainty and imprecision of the performance evaluation process was handled by using intuitionistic fuzzy numbers. A new fuzzy multicriteria group decision making algorithm based on the technique ordered preference by similarity to the ideal solution (TOPSIS) approach, and the concept of similarity measures was developed for determining the overall performance of each alternative. The advantage of the proposed fuzzy multicriteria analysis model is that it can overcome the limitations of the existing approaches in an intuitionistic fuzzy environment. The fuzzy multicriteria group decision-making model provides organizations with the ability to evaluate the performance of their IoT-based supply chains for improving their competitiveness. An ex le is presented to highlight the usefulness of the proposed model for tackling a real world IoT performance evaluation problem.
Publisher: IBIMA Publishing
Date: 04-10-2016
DOI: 10.5171/2016.682007
Publisher: IEEE
Date: 06-2017
Publisher: Asia Pacific Institute of Advanced Research (APIAR)
Date: 2018
Publisher: Springer International Publishing
Date: 12-2018
Publisher: Inderscience Publishers
Date: 2018
Publisher: River Publishers
Date: 2017
Publisher: IEEE
Date: 04-2014
Publisher: Springer International Publishing
Date: 27-05-2017
Publisher: MDPI AG
Date: 19-06-2019
Abstract: Tanker water is used extensively for drinking as well as domestic purposes in the Kathmandu Valley of Nepal. This study aimed to investigate water quality in terms of microbial contamination and determine sources of fecal pollution within these waters. Thirty-one s les from 17 tanker filling stations (TFSs) and 30 water tanker (WT) s les were collected during the dry and wet seasons of 2016. Escherichia coli was detected in 52% of the 31 TFS s les and even more frequently in WT s les. Of the six pathogenic viruses tested, enteroviruses, noroviruses of genogroup II (NoVs-GII), human adenoviruses (HAdVs), and group A rotaviruses were detected using quantitative PCR (qPCR) at 10, five, four, and two TFSs, respectively, whereas Aichi virus 1 and NoVs-GI were not detected at any sites. Index viruses, such as pepper mild mottle virus and tobacco mosaic virus, were detected using qPCR in 77% and 95% out of 22 s les, respectively, all of which were positive for at least one of the tested pathogenic viruses. At least one of the four human-associated markers tested (i.e., BacHum, HAdVs, and JC and BK polyomaviruses) was detected using qPCR in 39% of TFS s les. Ruminant-associated markers were detected at three stations, and pig- and chicken-associated markers were found at one station each of the suburbs. These findings indicate that water supplied by TFSs is generally of poor quality and should be improved, and proper management of WTs should be implemented.
Publisher: IEEE
Date: 05-2016
Publisher: IEEE
Date: 07-2015
Publisher: IBIMA Publishing
Date: 08-02-2016
DOI: 10.5171/2016.732154
Publisher: IEEE
Date: 2010
Publisher: IEEE
Date: 07-2015
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 08-2016
Publisher: MDPI AG
Date: 07-03-2023
DOI: 10.3390/W15061018
Abstract: The emergence of new variants of SARS-CoV-2 associated with varying infectivity, pathogenicity, diagnosis, and effectiveness against treatments challenged the overall management of the COVID-19 pandemic. Wastewater surveillance (WWS), i.e., monitoring COVID-19 infections in communities through detecting viruses in wastewater, was applied to track the emergence and spread of SARS-CoV-2 variants globally. However, there is a lack of comprehensive understanding of the use and effectiveness of WWS for new SARS-CoV-2 variants. Here we systematically reviewed published articles reporting monitoring of different SARS-CoV-2 variants in wastewater by following the PRISMA guidelines and provided the current state of the art of this study area. A total of 80 WWS studies were found that reported different monitoring variants of SARS-CoV-2 until November 2022. Most of these studies (66 out of the total 80, 82.5%) were conducted in Europe and North America, i.e., resource-rich countries. There was a high variation in WWS s ling strategy around the world, with composite s ling (50/66 total studies, 76%) as the primary method in resource-rich countries. In contrast, grab s ling was more common (8/14 total studies, 57%) in resource-limited countries. Among detection methods, the reverse transcriptase polymerase chain reaction (RT-PCR)-based sequencing method and quantitative RT-PCR method were commonly used for monitoring SARS-CoV-2 variants in wastewater. Among different variants, the B1.1.7 (Alpha) variant that appeared earlier in the pandemic was the most reported (48/80 total studies), followed by B.1.617.2 (Delta), B.1.351 (Beta), P.1 (Gamma), and others in wastewater. All variants reported in WWS studies followed the same pattern as the clinical reporting within the same timeline, demonstrating that WWS tracked all variants in a timely way when the variants emerged. Thus, wastewater monitoring may be utilized to identify the presence or absence of SARS-CoV-2 and follow the development and transmission of existing and emerging variants. Routine wastewater monitoring is a powerful infectious disease surveillance tool when implemented globally.
Publisher: MDPI AG
Date: 11-09-2018
DOI: 10.3390/SU10093240
Abstract: This paper presented a multicriteria assessment model for evaluating the performance of combined heat and power systems. Interval-valued intuitionistic fuzzy numbers were used for representing the subjective and imprecise assessments of the decision maker in evaluating the relative importance of the criteria, and the performance of in idual combined heat and power systems. An effective algorithm was developed based on the concept of ideal solutions for calculating the overall performance index, for each combined heat and power system across all criteria. An ex le was presented to demonstrate the applicability of the multicriteria assessment model, for dealing with real world combined heat and power system performance evaluation problems.
Publisher: IEEE
Date: 08-2015
Publisher: IGI Global
Date: 2013
DOI: 10.4018/IJEEI
Publisher: IEEE
Date: 09-11-2020
Publisher: SAGE Publications
Date: 09-2016
Abstract: This study sought academic staff and students’ views of electronic exams (e-exams) system and the benefits and challenges of e-exams in general. The respondents provided useful feedback for future adoption of e-exams at an Australian university and elsewhere too. The key findings show that students and academic staff are optimistic about the future adoption of e-exams if the e-exams system is sufficiently improved. They are fully aware of the benefits the technology could offer in supporting learning and education in general and see e-exams as an innovation for learning and teaching in higher education.
Publisher: Springer International Publishing
Date: 04-09-2018
Publisher: Elsevier BV
Date: 09-2016
Publisher: IEEE
Date: 06-2016
Publisher: IEEE
Date: 05-2018
Publisher: IEEE
Date: 05-2018
Publisher: IGI Global
Date: 2015
DOI: 10.4018/978-1-4666-8358-7.CH098
Abstract: The adoption of e-government signifies a positive way to move ahead in the 21st century with enhanced quality, cost effective government services and a superior relationship between different stakeholders. E-government provides new opportunities to both government and its citizens. The wider acceptance of new communication technologies are helping governments and their agencies worldwide to serve citizens, businesses and other governments with greater efficiency. This chapter looks at e-government development statistics globally before narrowing down to Internet usage and e-government adoption in Australia. Opportunities and challenges of e-government adoption are presented. The chapter then focuses on the current state of e-government in Australian city councils and seeks to evaluate council websites to understand their usability characteristics. Seven Australian capital city council websites have been chosen and evaluated based on factors such as navigation, searchability, layout and visual clarity, information content, communication methods, and transactional services. The research indicates that e-government in Australia is in its early stages and there is scope for further improvement and growth. The high incidence of web presence indicates that government entities, such as city councils are pursuing cyber strategies. Although the majority of government entities utilise websites to disseminate information to the public, optimal use of ICT in the public sector is ad hoc and in infancy albeit growing rapidly. This chapter provides a concise and holistic understanding of issues that can be encountered when exploiting the Internet and ICT for providing e-government services.
Publisher: IEEE
Date: 05-2017
Publisher: IEEE
Date: 07-2015
Publisher: IGI Global
Date: 2013
DOI: 10.4018/978-1-4666-4173-0.CH011
Abstract: The research indicates that e-government in Australia is in its early stages and there is scope for further improvement and growth. The high incidence of web presence indicates that government entities, such as city councils are pursuing cyber strategies. Although the majority of government entities utilise websites to disseminate information to the public, optimal use of ICT in the public sector is ad hoc and in infancy albeit growing rapidly. This chapter provides a concise and holistic understanding of issues that can be encountered when exploiting the Internet and ICT for providing e-government services.
Publisher: IEEE
Date: 12-2014
Publisher: Springer Berlin Heidelberg
Date: 2012
Publisher: IEEE
Date: 06-2016
Publisher: Springer Science and Business Media LLC
Date: 2017
Publisher: Emerald
Date: 03-07-2017
Abstract: The purpose of this paper is to formulate the process of measuring and benchmarking the performance of knowledge management (KM) practices as a multicriteria group decision-making problem and present a new multicriteria group decision-making approach for effectively evaluating the performance of KM practices to meet the interests of various stakeholders in small and medium enterprises (SMEs). A new multicriteria group decision-making approach is developed for evaluating the performance of KM practices of in idual SMEs. Intuitionistic fuzzy numbers are used for representing the subjective assessments of decision makers in evaluating the relative importance of the evaluation criteria and the performance of in idual KM practices with respect to specific evaluation criteria. A fuzzy multicriteria group decision-making algorithm is developed for measuring and benchmarking the performance of alternative KM practices. The proposed multicriteria group decision-making approach is capable of effectively evaluating the performance of KM practices through adequately considering the presence of multiple decision makers, the multi-dimensional nature of the evaluation problem, and appropriately modeling the subjectiveness and imprecision of the evaluation process. The presentation of an ex le shows that the proposed fuzzy multicriteria group decision-making algorithm is simple to use and efficient in computation. The outcome of the multicriteria group decision-making approach is highly dependent on the inputs provided by the decision maker. The novelty from this research lies in the utilization of a multicriteria group decision-making approach for evaluating the performance of KM practices in an organization. The outcome from the performance evaluation process allows the enterprise to adopt appropriate KM practices for achieving competitive advantages. The proposed multicriteria group decision-making approach has a significant social implication as it can be used as a decision-making tool for providing various decision makers in SMEs with useful and strategic information concerning the performance of KM practices in a given situation. The originality of this paper lies in the development of the multicriteria group decision-making approach for effectively measuring and benchmarking the performance of KM practices of in idual SMEs.
Publisher: IEEE
Date: 06-2015
Publisher: MDPI AG
Date: 13-01-2019
DOI: 10.3390/HEALTHCARE7010009
Abstract: Enteric viruses are highly contagious and a major cause of waterborne gastroenteritis in children younger than five years of age in developing world. This study examined the prevalence of enteric virus infection in children with gastroenteritis to identify risk factors for co-infections. In total, 107 stool s les were collected from patients with acute gastroenteritis along with s les of their household drinking water and other possible contamination sources, such as food and hand. The presence of major gastroenteritis-causing enteric virus species (group A rotaviruses, enteroviruses, adenoviruses, and noroviruses of genogroup I) in stool and water s les was examined using quantitative polymerase chain reaction. Among the 107 stool s les tested, 103 (96%) s les contained at least one of the four tested enteric viruses, and the combination of group A rotaviruses and enteroviruses was the most common co-infection (52%, n = 54/103). At least one viral agent was detected in 16 (16%) of 103 drinking water s les. Identical enteric viruses were detected in both the stool and water s les taken from the same patients in 13% of cases (n = 13/103). Group A rotaviruses were most frequently found in children suffering from acute diarrhea. No socio-demographic and clinical factors were associated with the risk of co-infection compared with mono-infection. These less commonly diagnosed viral etiological agents in hospitals are highly prevalent in patients with acute gastroenteritis.
Publisher: IEEE
Date: 06-2015
Publisher: IEEE
Date: 06-2019
Publisher: IEEE
Date: 06-2019
Publisher: Springer International Publishing
Date: 07-11-2019
Publisher: IEEE
Date: 06-2018
Publisher: IEEE
Date: 08-2014
No related grants have been discovered for Srimannarayana Grandhi.