Journal articles: 'Computer networks Victoria Melbourne'

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Kirkwood, Keith. "The SNAP Platform: social networking for academic purposes." Campus-Wide Information Systems 27, no. 3 (June 29, 2010): 118–26. http://dx.doi.org/10.1108/10650741011054429.

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PurposeThis paper aims to introduce an enterprise‐wide Web 2.0 learning support platform – SNAP, developed at Victoria University in Melbourne, Australia.Design/methodology/approachPointing to the evolution of the social web, the paper discusses the potential for the development of e‐learning platforms that employ constructivist, connectivist, and participatory pedagogies and actively engage the student population. Social networking behaviours and peer‐learning strategies, along with knowledge management through guided folksonomies, provide the back‐bone of a social systems approach to learning support.FindingsThe development of a cloud‐based read‐write enterprise platform can extend the responsiveness of the learning institution to its students and to future e‐learning innovations.Originality/valueThe full potential of e‐learning platforms for the development of learning communities of practice can now be increasingly realised. The SNAP Platform is a step in this direction.

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Richardson, James K. "Percy Rollo Brett OBE (1923–2022)." Journal of Telecommunications and the Digital Economy 10, no. 3 (September 26, 2022): 165–70. http://dx.doi.org/10.18080/jtde.v10n3.628.

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Percy Rollo Brett OBE (11 November 1923 to 8 August 2022) was a highly respected head of the PMG/APO (later Telecom Australia/Telstra) Research Laboratories between 1964 and 1975. He was promoted to Head of Planning for Telecom Australia in July 1975, and then State Manager, Victoria for that organization in 1980–1983. Rollo’s achievements as Director of the Research Laboratories included building links with Australian universities to strengthen the Laboratories’ expertise in longer term research, and masterminding the Laboratories’ move from six different sites in central Melbourne to a single site, in purpose-designed buildings in Clayton, opposite Monash University’s main campus. In the early 1970s, he used the expertise he gained as Chairman of the Telecommunications and Electronics Standards Committee of the Standards Association of Australia to lead the Australian Post Office’s conversion of all its standards to metric. Upon retirement in 1983 he was awarded the OBE.

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Boneh, Tal, Gary T. Weymouth, Peter Newham, Rodney Potts, John Bally, Ann E. Nicholson, and Kevin B. Korb. "Fog Forecasting for Melbourne Airport Using a Bayesian Decision Network." Weather and Forecasting 30, no. 5 (October 1, 2015): 1218–33. http://dx.doi.org/10.1175/waf-d-15-0005.1.

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Abstract Fog events occur at Melbourne Airport, Melbourne, Victoria, Australia, approximately 12 times each year. Unforecast events are costly to the aviation industry, cause disruption, and are a safety risk. Thus, there is a need to improve operational fog forecasting. However, fog events are difficult to forecast because of the complexity of the physical processes and the impact of local geography and weather elements. Bayesian networks (BNs) are a probabilistic reasoning tool widely used for prediction, diagnosis, and risk assessment in a range of application domains. Several BNs for probabilistic weather prediction have been previously reported, but to date none have included an explicit forecast decision component and none have been used for operational weather forecasting. A Bayesian decision network [Bayesian Objective Fog Forecast Information Network (BOFFIN)] has been developed for fog forecasting at Melbourne Airport based on 34 years’ worth of data (1972–2005). Parameters were calibrated to ensure that the network had equivalent or better performance to prior operational forecast methods, which led to its adoption as an operational decision support tool. The current study was undertaken to evaluate the operational use of the network by forecasters over an 8-yr period (2006–13). This evaluation shows significantly improved forecasting accuracy by the forecasters using the network, as compared with previous years. BOFFIN-Melbourne has been accepted by forecasters because of its skill, visualization, and explanation facilities, and because it offers forecasters control over inputs where a predictor is considered unreliable.

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Tanin, Egemen. "Teaching Wireless Sensor Networks at the University of Melbourne." IEEE Distributed Systems Online 8, no. 6 (June 2007): 3. http://dx.doi.org/10.1109/mdso.2007.39.

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Zhao, Henry, Lauren Pesavento, Edrich Rodrigues, Patrick Salvaris, Karen Smith, Stephen Bernard, Michael Stephenson, et al. "009 The ambulance clinical triage-for acute stroke treatment (ACT-FAST) algorithmic pre-hospital triage tool for endovascular thrombectomy: ongoing paramedic validation." Journal of Neurology, Neurosurgery & Psychiatry 89, no. 6 (May 24, 2018): A5.1—A5. http://dx.doi.org/10.1136/jnnp-2018-anzan.9.

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IntroductionThe ambulance clinical triage-for acute stroke treatment (ACT-FAST) algorithm is a severity based 3-step paramedic triage tool for pre-hospital recognition of large vessel occlusion (LVO), designed to improve specificity and paramedic assessment reliability compared to existing triage scales. ACT-FAST sequentially assesses 1. Unilateral arm fall to stretcher <10 s; 2a. Severe language disturbance (right arm weak), or 2b. Severe gaze deviation/hemi-neglect assessed by shoulder tap (left arm weak); 3. Clinical eligibility questions. We present the results of the ongoing Ambulance Victoria paramedic validation study.MethodsAmbulance Victoria paramedics assessed ACT-FAST in all suspected stroke patients pre-hospital in metropolitan Melbourne, Australia, and in the Royal Melbourne Hospital Emergency Department since July 2017. Algorithm results were validated against a comparator of ICA/M1 occlusion on CT-angiography with NIHSS ≥6 (Class 1 indications for endovascular thrombectomy).ResultsData were available from n=119 assessments (ED n=68, pre-hospital n=51). Patient diagnoses were LVO n=20 (15.6%), non-LVO infarcts n=45 (38.5%), ICH n=10 (8.3%) and no stroke on imaging n=44 (37.6%). ACT-FAST showed 85% sensitivity, 88.9% specificity, 60.7% (72% excluding ICH) positive predictive value and 96.7% negative predictive value for LVO. Of 10 false-positives, 4 received thrombectomy for non-Class 1 indications (basilar/M2 occlusions/cervical dissection), 3 were ICH, and 1 was tumour. Three false-negatives were LVO with milder syndromes.DiscussionThe ongoing ACT-FAST algorithm validation study shows high accuracy for clinical recognition of LVO. The streamlined algorithmic approach with just two examination items provides a more practical option for implementation in large emergency service networks. Accurate pre-hospital recognition of LVO will allow bypass to endovascular centres and early activation of neuro-intervention services to expedite endovascular thrombectomy.

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Carlberg, Ulf. "Review: Insects - a World of Diversity." Entomologica Fennica 6, no. 1 (January 1, 1995): 42. http://dx.doi.org/10.33338/ef.83838.

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Commonwealth Scientific Industrial Research Organization (Ed.) 1994: Insects- a World of Diversity. - C.S.I.R.O., Information Services, 314 Albert Street, East Melbourne, Victoria 3002, Australia. CDROM Version 1.0 and printed Teachers' Guide, 104 pp (A4 size, alternatively spiralbound 17.5 x 24.5 em). CD-ROM available for both Windows and Macintosh versions. System requirements: Windows: IBM-compatibel computer 386-33 or faster, super VGA video card and monitor; 4Mb of RAM, Microsoft Windows 3.1 or later, Microsoft Windows compatible digital audio card and CD-ROM drive. Macintosh: Apple Macintosh computer, 13 inch colour monitor (or larger), 4Mb of RAM, CD-ROM drive and Quicktime 1.6 or later(providedonCD).Price: CD-ROM: AUD 109.-,CD-ROMandTeachers' GuideAUD 129.-.

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Gull, C. D. "Development of resource sharing networks: Networks study no. 22. ABN Conference (1983: Melbourne, Victoria). First ABN Conference, July 12–14, 1983, Melbourne, Papers and Proceedings, Australian Bibliographic Network. Canberra: National Library of Australia; 1983: 214 pp." Journal of the American Society for Information Science 36, no. 2 (March 1985): 134–35. http://dx.doi.org/10.1002/asi.4630360208.

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Davey, Bill, and Arthur Tatnall. "Two Computer Systems in Victorian Schools and the Actors and Networks Involved in their Implementation and Use." International Journal of Actor-Network Theory and Technological Innovation 5, no. 3 (July 2013): 37–46. http://dx.doi.org/10.4018/jantti.2013070104.

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As in Australia school education is the responsibility of State Governments, this article will consider two computer systems in the Australian State of Victoria. The article takes a socio-technical stance to examine two computer systems currently in use in schools in Victoria: CASES21 and the Ultranet. After describing these systems, the article makes use of actor-network theory to explore the actors involved in their creation, development, implementation and use (or in one case non-use), and the networks they established in doing so. It looks at the associations involving both the human and non-human actors and how these contributed to successful adoption and use of these systems. A comparison of two systems within the same organisational environment allows a unique perspective on the formation of networks. The ANT approach permits an understanding of the difference in adoption where very few factors differ between the cases.

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Hudson, Paul, and Dennis Mills. "English Emigration, Kinship and the Recruitment Process: Migration from Melbourn in Cambridgeshire to Melbourne in Victoria in the Mid-Nineteenth Century." Rural History 10, no. 1 (April 1999): 55–74. http://dx.doi.org/10.1017/s0956793300001680.

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There are still comparatively few investigations which look, in detail, at who the rural English emigrants of the nineteenth century were, the villages and communities they came from, and the rural kinship and recruitment networks which supported their decision. Deficiencies in the published statistical returns, and the fact that good historical data about the English is mainly concerned with the first half of the nineteenth century, have not helped further emigration research. This has led to the situation whereby English emigration has been largely disregarded by some historians or, because British governments were initially preoccupied with emigration as a means of relieving distress, interpretations have tended to rest, precariously, on generalisations that English emigration was the product of economic dislocation. The dearth of historical studies is most striking if we note that, between 1853 and 1930, the English contributed over nine million emigrants to the European diaspora, that numerically they dominated Britain's non-Irish (English, Scottish and Welsh) emigration to most of the destinations available to them, and that the English have proved to be some of the most mobile and persistent of all international migrants.

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Wang, Derek, Tingmin Wu, Sheng Wen, Donghai Liu, Yang Xiang, Wanlei Zhou, Houcine Hassan, and Abdulhameed Alelaiwi. "Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks." Journal of Computational Science 26 (May 2018): 456–67. http://dx.doi.org/10.1016/j.jocs.2017.06.009.

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Cowley, Simon, and Andrew Oldaker. "A Collaborative Approach: Medical IT at The Royal Melbourne Hospital." Biomedical Instrumentation & Technology 45, s2 (September 1, 2011): 63–66. http://dx.doi.org/10.2345/0899-8205-45.s2.63.

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Maeder, Anthony. "Report on AUSGRAPH '90, the 1990 Australian Graphics Conference Melbourne, 10–14 September 1990." Computer Graphics Forum 9, no. 5 (December 1990): 389. http://dx.doi.org/10.1111/j.1467-8659.1990.tb00438.x.

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Hardy, Cheryl. "eGovernment in Victoria ‐ evolution of a resource centre." New Review of Information Networking 8, no. 1 (January 2002): 119–23. http://dx.doi.org/10.1080/13614570209516996.

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Hughes, Gordon. "Australian computer virus prosecution Lynn v Barylak (February 1991) county court victoria." Computer Law & Security Review 7, no. 2 (July 1991): 79–81. http://dx.doi.org/10.1016/0267-3649(91)90130-n.

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Whelan, Jillian, Joshua Hayward, Melanie Nichols, Andrew D. Brown, Liliana Orellana, Victoria Brown, Denise Becker, et al. "Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND): protocol and baseline outcomes for a stepped-wedge cluster-randomised prevention trial." BMJ Open 12, no. 9 (September 2022): e057187. http://dx.doi.org/10.1136/bmjopen-2021-057187.

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IntroductionSystems science methodologies have been used in attempts to address the complex and dynamic causes of childhood obesity with varied results. This paper presents a protocol for the Reflexive Evidence and Systems interventions to Prevention Obesity and Non-communicable Disease (RESPOND) trial. RESPOND represents a significant advance on previous approaches by identifying and operationalising a clear systems methodology and building skills and knowledge in the design and implementation of this approach among community stakeholders.Methods and analysisRESPOND is a 4-year cluster-randomised stepped-wedge trial in 10 local government areas in Victoria, Australia. The intervention comprises four stages: catalyse and set up, monitoring, community engagement and implementation. The trial will be evaluated for individuals, community settings and context, cost-effectiveness, and systems and implementation processes. Individual-level data including weight status, diet and activity behaviours will be collected every 2 years from school children in grades 2, 4 and 6 using an opt-out consent process. Community-level data will include knowledge and engagement, collaboration networks, economic costs and shifts in mental models aligned with systems training. Baseline prevalence data were collected between March and June 2019 among >3700 children from 91 primary schools.Ethics and disseminationEthics approval: Deakin University Human Research Ethics Committee (HREC 2018-381) or Deakin University’s Faculty of Health Ethics Advisory Committee (HEAG-H_2019-1; HEAG-H 37_2019; HEAG-H 173_2018; HEAG-H 12_2019); Victorian Government Department of Education and Training (2019_003943); Catholic Archdiocese of Melbourne (Catholic Education Melbourne, 2019-0872) and Diocese of Sandhurst (24 May 2019). The results of RESPOND, including primary and secondary outcomes, and emerging studies developed throughout the intervention, will be published in the academic literature, presented at national and international conferences, community newsletters, newspapers, infographics and relevant social media.Trial registration numberACTRN12618001986268p.

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Nourmohammadi, Fatemeh, Mohammadhadi Mansourianfar, Sajjad Shafiei, Ziyuan Gu, and Meead Saberi. "An Open GMNS Dataset of a Dynamic Multi-Modal Transportation Network Model of Melbourne, Australia." Data 6, no. 2 (February 19, 2021): 21. http://dx.doi.org/10.3390/data6020021.

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Simulation-based dynamic traffic assignment models are increasingly used in urban transportation systems analysis and planning. They replicate traffic dynamics across transportation networks by capturing the complex interactions between travel demand and supply. However, their applications particularly for large-scale networks have been hindered by the challenges associated with the collection, parsing, development, and sharing of data-intensive inputs. In this paper, we develop and share an open dataset for reproduction of a dynamic multi-modal transportation network model of Melbourne, Australia. The dataset is developed consistently with the General Modeling Network Specification (GMNS), enabling software-agnostic human and machine readability. GMNS is a standard readable format for sharing routable transportation network data that is designed to be used in multimodal static and dynamic transportation operations and planning models.

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Pettit, Christopher, Steve Williams, Ian Bishop, Jean-Philippe Aurambout, A. B. M. Russel, Anthony Michael, Subhash Sharma, et al. "Building an ecoinformatics platform to support climate change adaptation in Victoria." Future Generation Computer Systems 29, no. 2 (February 2013): 624–40. http://dx.doi.org/10.1016/j.future.2011.07.004.

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Kankanamge, Nayomi, Tan Yigitcanlar, and Ashantha Goonetilleke. "Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane." Telematics and Informatics 65 (December 2021): 101729. http://dx.doi.org/10.1016/j.tele.2021.101729.

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Kankanamge, Nayomi, Tan Yigitcanlar, and Ashantha Goonetilleke. "Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane." Telematics and Informatics 65 (December 2021): 101729. http://dx.doi.org/10.1016/j.tele.2021.101729.

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Phillips, Tiffany R., Christopher K. Fairley, Catriona S. Bradshaw, Marjan Tabesh, Kate Maddaford, Jane S. Hocking, and Eric PF Chow. "Associations between oral sex practices and frequent mouthwash use in heterosexuals: a cross-sectional survey in Melbourne, Australia." BMJ Open 11, no. 1 (January 2021): e041782. http://dx.doi.org/10.1136/bmjopen-2020-041782.

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ObjectiveThis study aimed to determine the frequency of mouthwash use and its association to oral sex practice in heterosexuals.DesignA cross-sectional study.SettingData obtained from a sexual health clinic in Victoria, Australia, between March 2019 and April 2019.ParticipantsHeterosexual men and women attending the sexual health clinic answered a survey using computer-assisted self-interview.Primary and secondary outcome measuresUnivariable and multivariable logistic regression were performed to examine the association between frequent mouthwash use (ie, daily or weekly mouthwash use) and oral sex practices (including tongue kissing, fellatio, cunnilingus and insertive rimming).ResultsThere were 681 heterosexuals included in the analysis: 315 (46.3%) men and 366 (53.7%) women. Of participants, 302 (44.3%) used mouthwash frequently, 173 (25.4%) used mouthwash infrequently and 206 (30.2%) never used mouthwash. There was no significant difference in the proportion of frequent mouthwash users between men and women (46.4% of men vs 42.6% of women; p=0.329). The proportion of frequent mouthwash users increased with increasing age groups (39.3% in ≤24 years, 45.2% in 25–34 years and 52.8% in ≥35 years or older; ptrend=0.039) with those aged ≥35 years having a 1.80 times (95% CI: 1.12 to 2.89) higher odds of being a frequent mouthwash user than those aged ≤24 years. There were no significant associations between frequent mouthwash users had sexually transmitted infection (STI) risk after adjusting for age and country of birth.ConclusionOlder heterosexuals are more likely to use mouthwash. Given the high proportion and associations of mouthwash use in heterosexuals, future investigations related to oral STIs in this group should include mouthwash use.

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Phillips, Tiffany R., Christopher K. Fairley, Catriona S. Bradshaw, Marjan Tabesh, Kate Maddaford, Jane S. Hocking, and Eric PF Chow. "Associations between oral sex practices and frequent mouthwash use in heterosexuals: a cross-sectional survey in Melbourne, Australia." BMJ Open 11, no. 1 (January 2021): e041782. http://dx.doi.org/10.1136/bmjopen-2020-041782.

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ObjectiveThis study aimed to determine the frequency of mouthwash use and its association to oral sex practice in heterosexuals.DesignA cross-sectional study.SettingData obtained from a sexual health clinic in Victoria, Australia, between March 2019 and April 2019.ParticipantsHeterosexual men and women attending the sexual health clinic answered a survey using computer-assisted self-interview.Primary and secondary outcome measuresUnivariable and multivariable logistic regression were performed to examine the association between frequent mouthwash use (ie, daily or weekly mouthwash use) and oral sex practices (including tongue kissing, fellatio, cunnilingus and insertive rimming).ResultsThere were 681 heterosexuals included in the analysis: 315 (46.3%) men and 366 (53.7%) women. Of participants, 302 (44.3%) used mouthwash frequently, 173 (25.4%) used mouthwash infrequently and 206 (30.2%) never used mouthwash. There was no significant difference in the proportion of frequent mouthwash users between men and women (46.4% of men vs 42.6% of women; p=0.329). The proportion of frequent mouthwash users increased with increasing age groups (39.3% in ≤24 years, 45.2% in 25–34 years and 52.8% in ≥35 years or older; ptrend=0.039) with those aged ≥35 years having a 1.80 times (95% CI: 1.12 to 2.89) higher odds of being a frequent mouthwash user than those aged ≤24 years. There were no significant associations between frequent mouthwash users had sexually transmitted infection (STI) risk after adjusting for age and country of birth.ConclusionOlder heterosexuals are more likely to use mouthwash. Given the high proportion and associations of mouthwash use in heterosexuals, future investigations related to oral STIs in this group should include mouthwash use.

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Gonzalez Viejo, Claudia, Damir D. Torrico, Frank R. Dunshea, and Sigfredo Fuentes. "Development of Artificial Neural Network Models to Assess Beer Acceptability Based on Sensory Properties Using a Robotic Pourer: A Comparative Model Approach to Achieve an Artificial Intelligence System." Beverages 5, no. 2 (May 1, 2019): 33. http://dx.doi.org/10.3390/beverages5020033.

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Artificial neural networks (ANN) have become popular for optimization and prediction of parameters in foods, beverages, agriculture and medicine. For brewing, they have been explored to develop rapid methods to assess product quality and acceptability. Different beers (N = 17) were analyzed in triplicates using a robotic pourer, RoboBEER (University of Melbourne, Melbourne, Australia), to assess 15 color and foam-related parameters using computer-vision. Those samples were tested using sensory analysis for acceptability of carbonation mouthfeel, bitterness, flavor and overall liking with 30 consumers using a 9-point hedonic scale. ANN models were developed using 17 different training algorithms with 15 color and foam-related parameters as inputs and liking of four descriptors obtained from consumers as targets. Each algorithm was tested using five, seven and ten neurons and compared to select the best model based on correlation coefficients, slope and performance (mean squared error (MSE). Bayesian Regularization algorithm with seven neurons presented the best correlation (R = 0.98) and highest performance (MSE = 0.03) with no overfitting. These models may be used as a cost-effective method for fast-screening of beers during processing to assess acceptability more efficiently. The use of RoboBEER, computer-vision algorithms and ANN will allow the implementation of an artificial intelligence system for the brewing industry to assess its effectiveness.

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Ruth, Denise, Rosalind Hurworth, and Nabil Sulaiman. "Moving towards meaningful local population health data: The service provider perspective." Australian Journal of Primary Health 11, no. 2 (2005): 113. http://dx.doi.org/10.1071/py05029.

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Increasingly, primary care services are required to use data to assess their local population's health needs and plan services. This paper reports focus group discussions of service providers' perceived current practice, issues and needs related to obtaining and using data for planning services in two local government areas of Melbourne. Six groups were conducted with nominees from two municipal councils, four divisions of general practice, three community health services, three hospital networks and eight community organizations. Two groups were conducted with planners and data providers from the Department of Human Services, Victoria. The 66 participants had a broad range of experience in using data to assess local population health needs. Participants reported that issues limiting the use of data related to: access to data (lack of awareness, contacting the right person, poor communication between data providers and users, resource constraints, lack of central access); gaps in data; quality of data (inconsistent definitions and collection, currency, ties to funding); applicability of data (unfriendly format, problems with aggregated versus small area data, non-matching data sets, lack of contextual information); and support for data use in local population health planning. If local population needs assessment is to lead to better health outcomes, service providers need access to high quality data presented in formats that are applicable to their communities. They also need practicable planning methods, skills training and support in using data for local population needs assessment and service planning.

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Xu, Fangyuan, and Feng Han. "Tourist Attraction Recommendation Method and Data Management Based on Big Data Analysis." Mobile Information Systems 2022 (September 19, 2022): 1–13. http://dx.doi.org/10.1155/2022/7161522.

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The proliferation of social networking data has opened up numerous avenues for providing additional perspectives to decision-makers. While big data analytics has the potential to aid in rational decision, so far there is little evidence to support this claim. More importantly, in the tourism industry specifically, a standardized approach to assessing social video big data for strategic planning has not yet been created. This project will use a research-based design science method to develop and estimate a “big data analytics” strategy for enhancing strategic decision-making in the control of tourist destinations. Using geotagged pictures provided by visitors to the picture social-media site Flickr as a matter of reality, with Melbourne, Australia as a case study, this method’s applicability is demonstrated in helping destination management organizations analyze and predict tourist behavioral patterns at specific destinations. Extra source, recipient, and stakeholder groups were used to verify relevance. The produced artifact exemplifies a technique for assessing massive amounts of unstructured data to aid strategic decision-making in an actual problem area. The scope of the suggested method is examined, and it is possible that it could be applied to other types of extremely large data sets.

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Mkunda, Josephine Joseph, Jesper Lassen, Bukaza Chachage, Lughano J. M. Kusiluka, and Liliane Pasape. "Analysis of marketing efficiency of processed sardine products of Lake Victoria: Case of Tanzania." African Journal of Science, Technology, Innovation and Development 12, no. 1 (May 27, 2019): 85–96. http://dx.doi.org/10.1080/20421338.2019.1609783.

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Richardson, James, Robert Ayre, and Peter Gerrand. "Gavan Edmund Rosman (1934–2022)." Journal of Telecommunications and the Digital Economy 10, no. 1 (March 30, 2022): 101–6. http://dx.doi.org/10.18080/jtde.v10n1.560.

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Gavan Rosman was valued at the Telecom (later Telstra) Research Laboratories, Australia, for his expertise as a research engineer in radio and coaxial cable technologies and, in particular, for his pioneering work on optical fibre technologies. He was also valued for his wide-ranging intellect and gentle, satirical sense of humour. His fluency in speaking Japanese was appreciated by visiting Japanese researchers. In retirement from TRL, he worked at Optiscan Imaging in Melbourne on developing an optical endoscope.

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Parker, Alexandra, Sarah Dash, Matthew Bourke, Rhiannon Patten, Melinda Craike, Peter Baldwin, Warwick Hosking, et al. "A Brief, Daily, Online Mental Health and Well-being Intervention for University Staff During the COVID-19 Pandemic: Program Description and Outcomes Using a Mixed Methods Design." JMIR Formative Research 6, no. 2 (February 25, 2022): e35776. http://dx.doi.org/10.2196/35776.

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Background The unprecedented changes and isolation measures to contain COVID-19 have had multiple psychological and social impacts, with implications for professional and personal functioning. Evidence-informed interventions that can be rapidly implemented under pandemic conditions to support mental health during such times are urgently needed. Objective The aim of this study was to determine the acceptability and preliminary outcomes of a daily online mental health promotion program for tertiary education staff during the COVID-19 pandemic. Methods The “Victoria University (VU) Elevenses” program was delivered as an uncontrolled intervention at Victoria University (VU) in the western metropolitan region of Melbourne, Australia. In April 2020, an email invitation was sent to all academic and professional staff inviting them to: (1) participate in the program and (2) opt-in to the research component. The “VU Elevenses” program provided 10-15–minute microinterventions comprising lifestyle and well-being strategies to promote mental health via an online meeting platform at 11 AM each weekday. A mixed methods approach was used to evaluate the program, combining structured questionnaires with semistructured interviews to investigate the experiences of staff who participated in the program. Results Between 16 and 90 participants provided weekly program feedback. A total of 106 university staff opted into the longitudinal research component and 10 staff participated in the interviews. Participants reported high levels of satisfaction with sessions and perceived benefits for mental health. Approximately one quarter of participants reported moderate to severe symptoms of depression, anxiety, and stress at baseline, with significant reductions in these symptoms in the first 7 weeks of the program, corresponding with easing in mandatory isolation (“lockdown”) restrictions. Symptoms of depression, anxiety, and stress all increased when lockdown measures were reintroduced, but not to the same levels as found during the initial lockdown period. Overall changes in depression and anxiety from baseline to the end of the program were explained by changes in COVID-19–related distress, whereas changes in self-compassion explained changes in stress. Conclusions We show that it is feasible and acceptable to develop and deliver a program of brief interventions in a timely manner, using a simple and accessible online platform. Although participation in the program was initially associated with reduced symptoms of depression, anxiety, and stress, participants’ mental health worsened with the reintroduction of a “lockdown” period. However, as symptoms of depression, anxiety, and stress did not return to levels observed at the start of the VU Elevenses program, participation in the uncontrolled intervention may have offered a protective benefit against the impact of the second significant lockdown period.

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Munawar, Hafiz Suliman, Fahim Ullah, Danish Shahzad, Amirhossein Heravi, Siddra Qayyum, and Junaid Akram. "Civil Infrastructure Damage and Corrosion Detection: An Application of Machine Learning." Buildings 12, no. 2 (February 1, 2022): 156. http://dx.doi.org/10.3390/buildings12020156.

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Automatic detection of corrosion and associated damages to civil infrastructures such as bridges, buildings, and roads, from aerial images captured by an Unmanned Aerial Vehicle (UAV), helps one to overcome the challenges and shortcomings (objectivity and reliability) associated with the manual inspection methods. Deep learning methods have been widely reported in the literature for civil infrastructure corrosion detection. Among them, convolutional neural networks (CNNs) display promising applicability for the automatic detection of image features less affected by image noises. Therefore, in the current study, we propose a modified version of deep hierarchical CNN architecture, based on 16 convolution layers and cycle generative adversarial network (CycleGAN), to predict pixel-wise segmentation in an end-to-end manner using the images of Bolte Bridge and sky rail areas in Victoria (Melbourne). The convolutedly designed model network proposed in the study is based on learning and aggregation of multi-scale and multilevel features while moving from the low convolutional layers to the high-level layers, thus reducing the consistency loss in images due to the inclusion of CycleGAN. The standard approaches only use the last convolutional layer, but our proposed architecture differs from these approaches and uses multiple layers. Moreover, we have used guided filtering and Conditional Random Fields (CRFs) methods to refine the prediction results. Additionally, the effectiveness of the proposed architecture was assessed using benchmarking data of 600 images of civil infrastructure. Overall, the results show that the deep hierarchical CNN architecture based on 16 convolution layers produced advanced performances when evaluated for different methods, including the baseline, PSPNet, DeepLab, and SegNet. Overall, the extended method displayed the Global Accuracy (GA); Class Average Accuracy (CAC); mean Intersection Of the Union (IOU); Precision (P); Recall (R); and F-score values of 0.989, 0.931, 0.878, 0.849, 0.818 and 0.833, respectively.

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McAuley, Elise, Chandana Unnithan, and Sofie Karamzalis. "Implementing Scanned Medical Record Systems in Australia." International Journal of E-Adoption 4, no. 4 (October 2012): 29–54. http://dx.doi.org/10.4018/jea.2012100103.

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In recent years, influenced by the pervasive power of technology, standards and mandates, Australian hospitals have begun exploring digital forms of keeping this record. The main rationale is the ease of accessing different data sources at the same time by varied staff members. The initial step in this transition was implementation of scanned medical record systems, which converts the paper based records to digitised form, which required process flow redesign and changes to existing modes of work. For maximising the benefits of scanning implementation and to better prepare for the changes, Austin Hospital in the State of Victoria commissioned this research focused on elective admissions area. This structured case study redesigned existing processes that constituted the flow of external patient forms and recommended a set of best practices at the same time highlighting the significance of user participation in maximising the potential benefits anticipated. In the absence of published academic studies focused on Victorian hospitals, this study has become a conduit for other departments in the hospital as well as other hospitals in the incursion.

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Huang, Huiqun, Xi Yang, and Suining He. "Multi-Head Spatio-Temporal Attention Mechanism for Urban Anomaly Event Prediction." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 3 (September 9, 2021): 1–21. http://dx.doi.org/10.1145/3478099.

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Timely forecasting the urban anomaly events in advance is of great importance to the city management and planning. However, anomaly event prediction is highly challenging due to the sparseness of data, geographic heterogeneity (e.g., complex spatial correlation, skewed spatial distribution of anomaly events and crowd flows), and the dynamic temporal dependencies. In this study, we propose M-STAP, a novel Multi-head Spatio-Temporal Attention Prediction approach to address the problem of multi-region urban anomaly event prediction. Specifically, M-STAP considers the problem from three main aspects: (1) extracting the spatial characteristics of the anomaly events in different regions, and the spatial correlations between anomaly events and crowd flows; (2) modeling the impacts of crowd flow dynamic of the most relevant regions in each time step on the anomaly events; and (3) employing attention mechanism to analyze the varying impacts of the historical anomaly events on the predicted data. We have conducted extensive experimental studies on the crowd flows and anomaly events data of New York City, Melbourne and Chicago. Our proposed model shows higher accuracy (41.91% improvement on average) in predicting multi-region anomaly events compared with the state-of-the-arts.

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Moorhead, Simon. "Marconi Wireless Telegraphy Trialled in Australia." Journal of Telecommunications and the Digital Economy 10, no. 4 (December 28, 2022): 103–11. http://dx.doi.org/10.18080/jtde.v10n4.652.

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A historic paper from 2010, republished here, describes a demonstration of wireless transmission between Victoria and Tasmania by the Marconi Wireless Telegraph Company in 1906. The subsequent debate and delays in adopting the new wireless communication system highlight the influence of imperial politics on Australian telecommunications, post Federation. The impasse with Marconi over his initial refusal to license his patent was eventually resolved by the creation of Amalgamated Wireless Holdings (AWA) in 1911.

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Grincheva, Natalia. "Mapping museum ‘Soft Power’: Adding geo-visualization to the methodological framework." Digital Scholarship in the Humanities 34, no. 4 (December 24, 2018): 730–51. http://dx.doi.org/10.1093/llc/fqy072.

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Abstract The article proposes, justifies, and tests a new methodological framework to measure museum ‘soft power’ by employing geo-visualization as a new method empowered by the rapid development of digital humanities. This research not only demystifies the buzz term of ‘soft power’ that is frequently applied in relation to contemporary museums and their international cultural engagements but also develops an evaluation framework to assess museum capacities to exert global impacts. Specifically, the article draws on the academic scholarship outlining a plethora of approaches for ‘soft power’ evaluation, including Resources, Outputs, Perceptions, and Networks evaluation models. It argues for a new integrative approach that can comprehensively combine different methods to construct a more advanced tool to measure museum ‘soft power’. The article draws on preliminary results of developing a digital mapping system to assess museum soft power. It shares findings from the pilot project, Australian Center of the Moving Image (ACMI) on the Global Map, designed in collaboration with the ACMI in Melbourne.

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Walker, Robert, and Colin Boylan. "Technology and distance education." Australian and International Journal of Rural Education 2, no. 1 (January 7, 2020): 63–66. http://dx.doi.org/10.47381/aijre.v2i1.271.

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Under the Distance Education Plan of the NSW Department of School Education, the provision of a full secondary education to rural students has been enhanced through the use of technology based communication networks. In the Riverina region of New South Wales, a pilot project linking three Central Schools into a cluster commenced in 1990. This pilot project is known as the Telematics Access Program and is similar to other projects in operation in Victoria and Queensland. Each school is linked to the other schools in the cluster by teleconference, fax and electronic blackboard computer facilities. Through the schools in the cluster sharing teacher expertise and using the technology to link students and teachers, a comprehensive Years 11 and 12 curriculum has been offered to these students. Students can select from 17 subjects currently available.

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Yang, Yi, Zhihao Shang, Yao Chen, and Yanhua Chen. "Multi-Objective Particle Swarm Optimization Algorithm for Multi-Step Electric Load Forecasting." Energies 13, no. 3 (January 21, 2020): 532. http://dx.doi.org/10.3390/en13030532.

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As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years. Because of the real-time characteristic of electricity and the uncertainty change of an electric load, realizing the accuracy and stability of electric load forecasting is a challenging task. Many predecessors have obtained the expected forecasting results by various methods. Considering the stability of time series prediction, a novel combined electric load forecasting, which based on extreme learning machine (ELM), recurrent neural network (RNN), and support vector machines (SVMs), was proposed. The combined model first uses three neural networks to forecast the electric load data separately considering that the single model has inevitable disadvantages, the combined model applies the multi-objective particle swarm optimization algorithm (MOPSO) to optimize the parameters. In order to verify the capacity of the proposed combined model, 1-step, 2-step, and 3-step are used to forecast the electric load data of three Australian states, including New South Wales, Queensland, and Victoria. The experimental results intuitively indicate that for these three datasets, the combined model outperforms all three individual models used for comparison, which demonstrates its superior capability in terms of accuracy and stability.

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Douglass, Caitlin H., Aidan Borthwick, Megan S. C. Lim, Bircan Erbas, Senem Eren, and Peter Higgs. "Social Media and Online Digital Technology Use Among Muslim Young People and Parents: Qualitative Focus Group Study." JMIR Pediatrics and Parenting 5, no. 2 (May 10, 2022): e36858. http://dx.doi.org/10.2196/36858.

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Background Digital technology and social media use are common among young people in Australia and worldwide. Research suggests that young people have both positive and negative experiences online, but we know little about the experiences of Muslim communities. Objective This study aims to explore the positive and negative experiences of digital technology and social media use among young people and parents from Muslim backgrounds in Melbourne, Victoria, Australia. Methods This study involved a partnership between researchers and a not-for-profit organization that work with culturally and linguistically diverse communities. We adopted a participatory and qualitative approach and designed the research in consultation with young people from Muslim backgrounds. Data were collected through in-person and online focus groups with 33 young people aged 16-22 years and 15 parents aged 40-57 years. Data were thematically analyzed. Results We generated 3 themes: (1) maintaining local and global connections, (2) a paradoxical space: identity, belonging and discrimination, and (3) the digital divide between young Muslims and parents. Results highlighted that social media was an important extension of social and cultural connections, particularly during COVID-19, when people were unable to connect through school or places of worship. Young participants perceived social media as a space where they could establish their identity and feel a sense of belonging. However, participants were also at risk of being exposed to discrimination and unrealistic standards of beauty and success. Although parents and young people shared some similar concerns, there was a large digital divide in online experiences. Both groups implemented strategies to reduce social media use, with young people believing that having short technology-free breaks during prayer and quality family time was beneficial for their mental well-being. Conclusions Programs that address technology-related harms must acknowledge the benefits of social media for young Muslims across identity, belonging, representation, and social connection. Further research is required to understand how parents and young people can create environments that foster technology-free breaks to support mental well-being.

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Eyceyurt, Engin, Yunus Egi, and Josko Zec. "Machine-Learning-Based Uplink Throughput Prediction from Physical Layer Measurements." Electronics 11, no. 8 (April 13, 2022): 1227. http://dx.doi.org/10.3390/electronics11081227.

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The uplink (UL) throughput prediction is indispensable for a sustainable and reliable cellular network due to the enormous amounts of mobile data used by interconnecting devices, cloud services, and social media. Therefore, network service providers implement highly complex mobile network systems with a large number of parameters and feature add-ons. In addition to the increased complexity, old-fashioned methods have become insufficient for network management, requiring an autonomous calibration to minimize utilization of the system parameter and the processing time. Many machine learning algorithms utilize the Long-Term Evolution (LTE) parameters for channel throughput prediction, mainly in favor of downlink (DL). However, these algorithms have not achieved the desired results because UL traffic prediction has become more critical due to the channel asymmetry in favor of DL throughput closing rapidly. The environment (urban, suburban, rural areas) affect should also be taken into account to improve the accuracy of the machine learning algorithm. Thus, in this research, we propose a machine learning-based UL data rate prediction solution by comparing several machine learning algorithms for three locations (Houston, Texas, Melbourne, Florida, and Batman, Turkey) and determine the best accuracy among all. We first performed an extensive LTE data collection in proposed locations and determined the LTE lower layer parameters correlated with UL throughput. The selected LTE parameters, which are highly correlated with UL throughput (RSRP, RSRQ, and SNR), are trained in five different learning algorithms for estimating UL data rates. The results show that decision tree and k-nearest neighbor algorithms outperform the other algorithms at throughput estimation. The prediction accuracy with the R2 determination coefficient of 92%, 85%, and 69% is obtained from Melbourne, Florida, Batman, Turkey, and Houston, Texas, respectively.

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Lepelaar, Marianna, Adam Wahby, Martha Rossouw, Linda Nikitin, Kanewa Tibble, Peter J. Ryan, and Richard B. Watson. "Sentiment Analysis of Social Survey Data for Local City Councils." Journal of Sensor and Actuator Networks 11, no. 1 (January 12, 2022): 7. http://dx.doi.org/10.3390/jsan11010007.

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Big data analytics can be used by smart cities to improve their citizens’ liveability, health, and wellbeing. Social surveys and also social media can be employed to engage with their communities, and these can require sophisticated analysis techniques. This research was focused on carrying out a sentiment analysis from social surveys. Data analysis techniques using RStudio and Python were applied to several open-source datasets, which included the 2018 Social Indicators Survey dataset published by the City of Melbourne (CoM) and the Casey Next short survey 2016 dataset published by the City of Casey (CoC). The qualitative nature of the CoC dataset responses could produce rich insights using sentiment analysis, unlike the quantitative CoM dataset. RStudio analysis created word cloud visualizations and bar charts for sentiment values. These were then used to inform social media analysis via the Twitter application programming interface. The R codes were all integrated within a Shiny application to create a set of user-friendly interactive web apps that generate sentiment analysis both from the historic survey data and more immediately from the Twitter feeds. The web apps were embedded within a website that provides a customisable solution to estimate sentiment for key issues. Global sentiment was also compared between the social media approach and the 2016 survey dataset analysis and showed some correlation, although there are caveats on the use of social media for sentiment analysis. Further refinement of the methodology is required to improve the social media app and to calibrate it against analysis of recent survey data.

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Safitri, Anggi Windu, and Rimi Gusliana Mais. "Analysis of Factors Affecting Murabahah Financing on Sharia Commercial Banks in Indonesia 2012–2018." Indonesian Journal of Business, Accounting and Management 2, no. 01 (June 10, 2019): 29–37. http://dx.doi.org/10.36406/ijbam.v2i2.583.

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Abstract—This study aims to determine the effect of Capital Adequacy Ratio (CAR), Third Party Funds (DPK), Financing to Deposit Ratio (FDR), Non Performing Financing (NPF), and Return On Ratio (ROA) to Financing Murabaha at Islamic Commercial Banks in Indonesia for the 2012-2018 Period. There are ten samples in this study that meet the research criteria, namely BCA Syariah Bank, BRI Syariah Bank, BNI Syariah Bank, Mandiri Syariah Bank, Syariah Bukopin Bank, Panin Indonesia Syariah Bank, Jabar Banten Syariah Bank, Mega Syariah Bank, Muamalat Bank, Victoria Bank Sharia. This research method is quantitative with data processing tools usingEviews 9 and the analysis tool used was panel data regression analysis. The selected model is the modelFixed Effect which was tested by F test and t test, with a significance of 5%. The results of the study show that the ratio of Third Party Funds has a positive and significant effect on financing Murabaha which means that no matter how big the deposited DPK will affect any amount of financing Murabaha. Capital Adequacy Ratio, Financing to Deposit Ratio, Net Performing Financing, and Return on Assets does not affect financing Murabaha, which means that no matter how big the CAR, FDR, NPF, and ROA will not affect the distribution of capital adequacy, distribution of total loans, nonperforming financing and investment profits to Financing Murabaha.

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Dey, Subhrasankha, Stephan Winter, and Martin Tomko. "Origin–Destination Flow Estimation from Link Count Data Only." Sensors 20, no. 18 (September 13, 2020): 5226. http://dx.doi.org/10.3390/s20185226.

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All established models in transportation engineering that estimate the numbers of trips between origins and destinations from vehicle counts use some form of a priori knowledge of the traffic. This paper, in contrast, presents a new origin–destination flow estimation model that uses only vehicle counts observed by traffic count sensors; it requires neither historical origin–destination trip data for the estimation nor any assumed distribution of flow. This approach utilises a method of statistical origin–destination flow estimation in computer networks, and transfers the principles to the domain of road traffic by applying transport-geographic constraints in order to keep traffic embedded in physical space. Being purely stochastic, our model overcomes the conceptual weaknesses of the existing models, and additionally estimates travel times of individual vehicles. The model has been implemented in a real-world road network in the city of Melbourne, Australia. The model was validated with simulated data and real-world observations from two different data sources. The validation results show that all the origin–destination flows were estimated with a good accuracy score using link count data only. Additionally, the estimated travel times by the model were close approximations to the observed travel times in the real world.

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Corn, Aaron. "Joe Gumbula, the Ancestral Chorus, and the Value of Indigenous Knowledges." Preservation, Digital Technology & Culture 47, no. 3-4 (December 19, 2018): 77–90. http://dx.doi.org/10.1515/pdtc-2018-0027.

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AbstractJoseph Neparrŋa Gumbula (1954–2015) had an atypical scholarly trajectory. Born into a long line of Yolŋu leaders in the remote town of Milingimbi in the Arnhem Land Aboriginal Reverse, he left school in his mid-teens for the neighbouring town of Galiwin’ku in 1971, where he joined the country and gospel band, Soft Sands, as a singer and guitarist. Through his passion for making music and admission to Yolŋu ritual leadership in 1997, Gumbula discovered a new calling in researching the documented legacy of his family history in ethnographic collections around the world. This pursuit set him on an unprecedented path towards leading national research grants supported by fellowships at various universities. His research would return to Arnhem Land rare and precious ethnographic materials dating back as far as the edge of living memory in 1920s, and exemplify how Indigenous heritage collections can be grown, managed and made accessible with broad benefits. Paralleling the emergence of affordable digital media technologies, his research interests progressed accordingly from isolated local databases to clouded mobile delivery platforms. The interdisciplinary networks that Gumbula built were far reaching and have left lasting impacts. In this article, I expand upon my Gumbula Memorial Lecture for the 2017 Information Technologies and Indigenous Communities (ITIC) Symposium in Melbourne to explore how Gumbula challenged his students and colleagues to think and work beyond the conventions of disciplinary and professional methodologies, thereby transforming our understandings of knowledge itself and encouraging us to act as proactive agents in the world.

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Dong, Yanchen, Peipei Dai, Sen Wang, Jianping Xing, Yulei Xue, Shijie Liu, Shuai Han, Zhi Yang, and Xinchao Bai. "A Study on the Detecting Cycle Slips and a Repair Algorithm for B1/B3." Electronics 10, no. 23 (November 25, 2021): 2925. http://dx.doi.org/10.3390/electronics10232925.

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For the current problem of cycle slips in the observation data of the BDS-2 and BDS-3 (Bei Dou Navigation Satellite System), in this paper, BDS B1I and B3I signals are used as research objects to study the detection of cycle slips, and their repair algorithm. The Geometry-free (GF) and Melbourne–Wübeena (MW) combination algorithm are used for the detection of cycle slips. A new method of arc partition is proposed in this work to detect cycle slips as the boundary to delimit two different observation arcs. In this way, the different values of cycle slips can be divided and marked. Moreover, the gross errors can be removed. Finally, the detection of cycle slips and the analysis of all epochs can be completed and repaired. This work also analyzes the dual-frequency data effect of cycle slips on code multipath observation. The results showed that this method greatly improved the speed of detection of cycle slips.

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Asre, Shashank, and Adnan Anwar. "Synthetic Energy Data Generation Using Time Variant Generative Adversarial Network." Electronics 11, no. 3 (January 24, 2022): 355. http://dx.doi.org/10.3390/electronics11030355.

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Energy consumption data is being used for improving the energy efficiency and minimizing the cost. However, obtaining energy consumption data has two major challenges: (i) data collection is very expensive, time-consuming, and (ii) security and privacy concern of the users which can be revealed from the actual data. In this research, we have addressed these challenges by using generative adversarial networks for generating energy consumption profile. We have successfully generated synthetic data which is similar to the real energy consumption data. On the basis of the recent research conducted on TimeGAN, we have implemented a framework for synthetic energy consumption data generation that could be useful in research, data analysis and create business solutions. The framework is implemented using the real-world energy dataset, consisting of energy consumption data of the year 2020 for the Australian states of Victoria, New South Wales, South Australia, Queensland and Tasmania. The results of implementation is evaluated using various performance measures and the results are showcased using visualizations along with Principal Component Analysis (PCA) and t-distributed stochastic neighbor embedding (TSNE) plots. Overall, experimental results show that Synthetic data generated using the proposed implementation possess very similar characteristics to the real dataset with high comparison accuracy.

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Riva, Carlo G., Lorenzo Luini, Alberto Panzeri, Filippo Morandi, Laura Resteghini, Danilo De Donno, Christian Mazzucco, and Renato Lombardi. "A Clutter Loss Model for Satellite Communication Systems." Electronics 12, no. 1 (December 30, 2022): 186. http://dx.doi.org/10.3390/electronics12010186.

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Buildings and vegetation in the proximity of a terrestrial base station induce a significant additional loss, typically referred to as “clutter loss”, which sums up to free space loss and atmospheric attenuation. Clutter loss is essentially due to the radiowave reflection and diffraction caused by buildings and vegetation, and tends to reduce the interference between terrestrial systems, such as upper 6 GHz (U6G), and satellite systems operating in the same frequency bands. In fact, for example, at low elevation angles, the clutter loss could reach some tens of dB in the U6G band. A novel clutter loss model in urban and suburban environments for frequencies up to 10 GHz is proposed. The model relies on the Monte Carlo simulation approach presented in Report ITU-R P.2402-0, but some limitations have been removed to extend its applicability to more complex scenarios and possibly increase its accuracy for U6G systems. An analytical approach is also proposed to model the clutter loss statistics obtained by properly fitting the obtained statistics for the cities of London and Melbourne. Finally, the proposed model is validated by comparing its results to those obtained by a commercial ray tracer.

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J. Woodley, Carolyn, Sean Fagan, and Sue Marshall. "Wadawurrung Dya Baap Ngobeeyt: teaching spatial mapping technologies." Campus-Wide Information Systems 31, no. 4 (July 29, 2014): 276–87. http://dx.doi.org/10.1108/cwis-10-2013-0059.

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Purpose – Aboriginal communities in Australia must have mapping information and technology to effectively and independently administer their land holdings and to define, evidence and thus protect their community and cultural identity. The purpose of this paper is to report on a pilot project that developed a customisable education programme to support Indigenous communities in the uptake of spatial mapping technologies to protect and manage cultural heritage in Victoria, Australia. Design/methodology/approach – A training programme to support Wadawurrung capabilities in spatial mapping technologies was developed, delivered and evaluated. Concurrently, the system's database was indigenised by Wadawurrung cultural heritage workers. Types and numbers of culturally significant sites mapped using the technologies were collated. The impact of the training and technologies for students and the Wadawurrung community was gauged through participation levels and evaluations. The approach to indigenous spatial mapping projects is informed by postcolonial theories interrogating neo-colonialist cartographic practices. Findings – Indigenous communities need to be resourced in the uptake of spatial mapping technologies and if universities are going to be involved in co-developing positive learning experiences that encourage the uptake of the technologies, they must have appropriate and respectful relationships with Aboriginal communities. Training programmes need to accommodate learners with diverse educational experiences and technological wherewithal. Research limitations/implications – Findings from the training evaluations are based on a small number of participants; however, they seem to be supported by literature. Practical implications – The education model developed is customisable for any Indigenous community in Australia. Social implications – The social and political importance of spatial mapping technologies for Indigenous Australians is evident as is the need for educational providers to have appropriate and respectful relationships with Aboriginal communities to co-develop positive learning experiences that encourage the uptake of the technologies. Originality/value – The Wadawurrung Dya Baap Ngobeeyt Cultural Heritage Mapping and Management Project developed practical strategies to build community capacity in Aboriginal Cultural Heritage Management and Protection. The educational programme developed supported learners to use technologies in cultural heritage management. Data were collected using community-developed fields for inclusion and culturally appropriate encryption of data.

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Garcia-Retuerta, David, Pablo Chamoso, Guillermo Hernández, Agustín San Román Guzmán, Tan Yigitcanlar, and Juan M. Corchado. "An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection." Electronics 10, no. 7 (March 24, 2021): 765. http://dx.doi.org/10.3390/electronics10070765.

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A smart city is an environment that uses innovative technologies to make networks and services more flexible, effective, and sustainable with the use of information, digital, and telecommunication technologies, improving the city’s operations for the benefit of its citizens. Most cities incorporate data acquisition elements from their own systems or those managed by subcontracted companies that can be used to optimise their resources: energy consumption, smart meters, lighting, irrigation water consumption, traffic data, camera images, waste collection, security systems, pollution meters, climate data, etc. The city-as-a-platform concept is becoming popular and it is increasingly evident that cities must have efficient management systems capable of deploying, for instance, IoT platforms, open data, etc., and of using artificial intelligence intensively. For many cities, data collection is not a problem, but managing and analysing data with the aim of optimising resources and improving the lives of citizens is. This article presents deepint.net, a platform for capturing, integrating, analysing, and creating dashboards, alert systems, optimisation models, etc. This article shows how deepint.net has been used to estimate pedestrian traffic on the streets of Melbourne (Australia) using the XGBoost algorithm. Given the current situation, it is advisable not to transit urban roads when overcrowded, thus, the model proposed in this paper (and implemented with deepint.net) facilitates the identification of areas with less pedestrian traffic. This use case is an example of an efficient crowd management system, implemented and operated via a platform that offers many possibilities for the management of the data collected in smart territories and cities.

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Limone, Pierpaolo, Giusi Antonia Toto, and Barbara Cafarelli. "The Decision-Making Process and the Construction of Online Sociality through the Digital Storytelling Methodology." Electronics 10, no. 20 (October 11, 2021): 2465. http://dx.doi.org/10.3390/electronics10202465.

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Digital storytelling (DST) is a teaching methodology (and tool) that is very widespread in different types of training: formal and informal, professional, and for adults. Presently, education is evolving and moving towards digital storytelling, starting from the models of Lambert and Olher. Today, although DST is usually used in the training that students receive for narrative learning, experimentation on the psychological and social consequences of this online teaching practice is still scarce. The literature acknowledges the widespread use of DST online, from psychology to communication and from marketing to training, providing Lambert’s and Olher’s models as references. Thus, the purpose of experimentation in this subject has been to try to mix these two models by selecting the phases of the model that focus most on creativity and narrative writing. The purpose of this study is to illustrate the experimentation conducted in the initial training of teachers to monitor the processes of negotiating content, making decisions and building a group atmosphere through the use of a narrative technique in an educational context. The sample was offered comprehension activities on narrative categories, creativity and autobiographical writing. The process in the group choice phase (negotiation) of the story was monitored through a questionnaire that includes three scales (the Melbourne Decision Making Questionnaire, Organisational Attitude, and Negotiations Self-Assessment Inventory). The study concluded that the standardised planning of activities that, to a greater degree of depth, promote participation and emotional involvement allows the creation of strong group thinking and affects the decision-making and negotiation processes of the activities being carried out by the participants.

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Meredyth, Denise, and Julian Thomas. "Social enterprise and aspiration: Atherton Gardens and the e-ACE network." First Monday, September 3, 2007. http://dx.doi.org/10.5210/fm.v12i9.2007.

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A wired community for low-income public housing tenants has been established on the Atherton Gardens estate in Melbourne, Australia. It was created by Infoxchange, a non-profit technology company with the slogan 'Technology for social justice'. This paper summarises the results of a four-year evaluation of the social impact of the e-ACE network.

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Li, Lingxiao, Muhammad Aamir Cheema, Hua Lu, Mohammed Eunus Ali, and Adel N. Toosi. "Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks." IEEE Transactions on Knowledge and Data Engineering, 2021, 1. http://dx.doi.org/10.1109/tkde.2021.3063717.

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Leurs, Koen, Myria Georgiou, Scott McQuire, Jani Vuolteenaho, and Johanna Sumiala. "The politics and praxis of media-city research: a duo interview with Myria Georgiou and Scott McQuire." Observatorio (OBS*), December 4, 2015. http://dx.doi.org/10.15847/obsobs002015978.

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This epilogue draws the various themes, issues and questions addressed in this OBS* special issue together. For this purpose, a duo-interview was conducted with Myria Georgiou and Scott McQuire. Georgiou and McQuire are unquestionable pioneers in the terrain of media city research. McQuire’s The media city. Media, architecture and urban space (Sage, 2008) and Georgiou’s Media and the city. Cosmopolitanism and difference (Polity, 2013) are essential textbooks that have achieved a wide readership across various fields including media and communication studies, architecture, cultural geography, sociology, design and urban studies. McQuire approaches contemporary digital media cities from a historically contextualizing angle, while Georgiou considers the contradictory and mediated challenges of living with cultural difference in the city. They are both working on timely and topical book-projects: McQuire’s next book is titled Geomedia: Networked cities and the future of public space (Polity, 2016), while Georgiou’s next monograph is titled Urban popular cultures (Polity, 2017). The way in which the exchange took place between the end of October and early November 2015 is illustrative for the politics and praxis of media-city research: at the time both scholars were battling jet-lags, travelling and working in a continent other than where there home institutions are based. Myria Georgiou was immersed in fieldwork on communicative infrastructures in a local Los Angeles community. She sent her responses from “a hotel with annoyingly unreliable internet connection which constantly gets cut off”. Scott gathered his thoughts during his flight from Melbourne to Belgium. He sent his responses while adjusting to a different time-zone in “gloomy” Antwerp that contrasted heavily with summery Melbourne. He was there to give a lecture on Digital media cities and the future of public space at the University of Antwerp.

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Compte Nunes, Guillem. "El ajuste ideológico al lopezobradorismo de la prensa de opinión mexicana." Observatorio (OBS*) 15, no. 3 (August 29, 2021). http://dx.doi.org/10.15847/obsobs15320211784.

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La victoria electoral de Andrés Manuel López Obrador en México en 2018 constituye el más reciente capítulo de la contienda en América Latina entre la hegemonía de la democracia liberal-capitalista y propuestas contrahegemónicas desde el populismo de izquierda. Examino la recepción del proyecto político de Obrador, la Cuarta Transformación, en columnas de opinión de dos periódicos mexicanos en dos periodos. Hallo una diferenciación ideológica por medio y una erosión temporal en el apoyo del periódico izquierdista; y encuentro formas de pensamiento en ambos medios que refuerzan la vigente hegemonía.

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Journal articles on the topic 'Computer networks Victoria Melbourne'

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