ORCID Profile
0000-0001-8932-0526
Current Organisation
SA Water
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Water Resources Engineering | Civil Engineering | Infrastructure Engineering and Asset Management
Publisher: SAGE Publications
Date: 15-04-2022
DOI: 10.1177/14759217221080198
Abstract: The implementation of a smart water network (SWN) is viewed as a strategic approach to address many challenges faced by water utilities, such as pipe leak detection and main break prevention. This paper develops a convolutional neural network (CNN)–based model to classify acoustic wave files collected by the South Australian Water Corporation’s (SA Water’s) SWN over the city of Adelaide. The VGGish model (VGG refers to the team who developed the model—Visual Geometry Group) is selected as a suitable transfer learning model to extract features from wave files. The CNN model classifies an acoustic wave file as an anomaly or other background or environmental noise. Identification of a wave file as an anomaly triggers a Siamese CNN model to determine whether it is related to a regular/irregular scheduled event (for ex le, irrigation system near public parks or water consumption by large buildings). A field investigation is initiated if a wave file is classified as an anomaly and it is not related to a scheduled event. The developed models have been validated using data that is recorded by SWN in Adelaide. This validation data set comprises 1098 wave files, which are recorded by 34 accelerometers and are associated with 32 known leaks. The validation results shown that accuracy of alarms generated by the developed models is 92.44%. The validations confirm the developed models as an effective tool for water pipeline leak and crack detection, which, in turn, enables proactive management of the pipeline assets.
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2022
Publisher: Springer Science and Business Media LLC
Date: 31-05-2020
Publisher: Springer Science and Business Media LLC
Date: 04-01-2021
Publisher: Informa UK Limited
Date: 11-02-2021
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2020
Publisher: Wiley
Date: 31-05-2021
DOI: 10.1111/ANS.16973
Abstract: Diverting ileostomy (DI) is utilised in rectal cancer surgery to mitigate the effects of anastomotic leak. The aim of this study was to assess the clinical risk factors associated with post‐operative complications of DI reversal. A single‐centre retrospective analysis of patients who underwent surgical resection for rectal cancer and subsequent DI reversal between January 2012 and December 2020 was undertaken. Medical records were reviewed to extract clinical, operative and pathologic details and post‐operative complications according to the Clavien‐Dindo classification. Univariate and multivariable analyses were undertaken to assess risk factors associated with post‐operative complications of DI reversal. One hundred and twenty‐six adult patients who underwent DI reversal were included of which 49 had a post‐operative complication (39%). The most common complication was prolonged post‐operative ileus, which occurred in 24 patients (19%). On multivariable analysis smoking was significantly associated with overall complications (odds ratio [OR] = 5.60, 95% confidence interval [CI] 1.90–16.52, p = 0.0018), and high Clavien‐Dindo (2–5) category complications (OR = 4.60, 95% CI 1.81–11.68, p = 0.0013). In addition, patients who received adjuvant chemotherapy were less likely to have a reversal of DI complication (OR = 0.43, 95% CI 0.19–0.94, p = 0.0342) and less likely to have a high Clavien‐Dindo (2–5) category complication (OR = 0.44, 95% CI 0.20–0.93, p = 0.0311). Smokers who have undergone surgical resection of rectal cancer have a significantly increased risk of post‐operative complications after DI reversal. In these patients, the importance of smoking cessation must be emphasised. The decreased complication rate observed in patients who received adjuvant chemotherapy was an unexpected finding.
Publisher: Walter de Gruyter GmbH
Date: 17-09-2021
DOI: 10.1515/PP-2021-0132
Abstract: Gastric cancer remains one of the most fatal cancers, despite an intensive treatment regime of chemotherapy–surgery–chemotherapy. Peritoneal metastatic disease is commonly diagnosed post treatment regime and once established, patients are likely to die in 3–9 months. Systemic chemotherapy does not increase survival for these patients due to the poor vascularisation of this area. We are proposing the addition of pressurised intraperitoneal aerosol chemotherapy (PIPAC) to the treatment regime for curative patients as a preventive measure to reduce the risk of peritoneal metastases occurring. This is a prospective, single centre, non-randomised, open-label pilot trial evaluating the addition of PIPAC to the standard multimodal treatment pathway. Patients will undergo standard neoadjuvant chemotherapy with four cycles of fluorouracil, leucovorin, oxaliplatin and docetaxel (FLOT), then PIPAC, followed by gastrectomy. Four cycles of FLOT will be administered post-surgery. Primary outcome is safety and feasibility, assessed by perioperative morbidity and possible interruptions of the standard multimodal treatment pathway.
Publisher: BMJ
Date: 10-2021
DOI: 10.1136/BMJOPEN-2021-054704
Abstract: Gastrointestinal recovery after surgery is of worldwide significance. Postoperative gastrointestinal dysfunction is multifaceted and known to represent a major source of postoperative morbidity, however, its significance to postoperative care across all surgical procedures is unknown. The complexity of postoperative gastrointestinal recovery is poorly defined within gastrointestinal surgery, and even less so outside this field. To inform the clinical care of surgical patients worldwide, this systematic review and meta-analysis will aim to characterise the duration of postoperative gastrointestinal recovery that can be expected across all surgical procedures and determine the associations between factors that may affect this. MEDLINE, Embase, Cochrane Library and CINAHL will be searched for studies reporting the time to first postoperative passage of stool after any surgical procedure. We will screen records, extract data and assess risk of bias in duplicate. Forest plots will be constructed for time to postoperative gastrointestinal recovery, as assessed by various outcome measures. Because of potential heterogeneity, a random-effects model will be used throughout the meta-analysis. Funnel plots will be used to test for publication bias. Meta-regressions will be undertaken where the outcome is the mean time to first postoperative passage of stool, with potential predictors and confounders being patient characteristics, postoperative outcomes and surgical factors. This study will not involve human or animal subjects and, thus, does not require ethics approval. The outcomes will be disseminated via publication in peer-reviewed scientific journal(s) and presentations at scientific conferences. CRD42021256210.
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2022
Publisher: Springer Science and Business Media LLC
Date: 17-05-2019
Publisher: Springer Science and Business Media LLC
Date: 10-06-2020
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2019
Publisher: IWA Publishing
Date: 02-2018
Abstract: Fault detection in water distribution systems is of critical importance for water authorities to maintain pipeline assets effectively. This paper develops an improved inverse transient analysis (ITA) method for the condition assessment of water transmission pipelines. For long transmission pipelines ITA approaches involve models using hundreds of discretized pipe reaches (therefore hundreds of model parameters). As such, these methods struggle to accurately and uniquely determine the many parameter values, despite achieving a very good fit between the model predictions and measured pressure responses. In order to improve the parameter estimation accuracy of ITA applied to these high dimensional problems, a multi-stage parameter-constraining ITA approach for pipeline condition assessment is proposed. The proposed algorithm involves the staged constraining of the parameter search-space to focus the inverse analysis on pipeline sections that have a higher likelihood of being in an anomalous state. The proposed method is verified by numerical simulations, where the results confirm that the parameters estimated by the proposed method are more accurate than the conventional ITA. The proposed method is also verified by a field case study. Results show that anomalies detected by the proposed methods are generally consistent with anomalies detected by ultrasonic measurement of pipe wall thickness.
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 03-07-2021
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2018
Publisher: Informa UK Limited
Date: 20-10-2020
Publisher: Informa UK Limited
Date: 04-11-2020
Start Date: 04-2021
End Date: 04-2024
Amount: $447,000.00
Funder: Australian Research Council
View Funded Activity