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ORCIDRichard O. Sinnott
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- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
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2020 – today
- 2023
[j40]Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke:
A survey of automated data augmentation algorithms for deep learning-based image classification tasks. Knowl. Inf. Syst. 65(7): 2805-2861 (2023)- [j39]Zhen Yang
, Ming Zhou, Haiyang Yu, Richard O. Sinnott, Huan Liu:
Efficient and Secure Federated Learning With Verifiable Weighted Average Aggregation. IEEE Trans. Netw. Sci. Eng. 10(1): 205-222 (2023) - [c181]Yuhan Gu, Richard O. Sinnott:
Real-Time Vehicle Passenger Detection Through Deep Learning. e-Science 2023: 1-10 - [c180]Zuo Huang, Richard O. Sinnott, Krista A. Ehinger:
Truck Speed Detection Through Video Streams. e-Science 2023: 1-10 - [c179]Zuo Huang, Richard O. Sinnott:
Improved Knowledge Distillation for Crowd Counting on IoT Devices. EDGE 2023: 207-214 - [c178]Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris:
Fake News Detection Through Temporally Evolving User Interactions. PAKDD (4) 2023: 137-148 - [i8]Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Cécile Paris:
Fake News Detection Through Graph-based Neural Networks: A Survey. CoRR abs/2307.12639 (2023) - 2022
- [c177]Zhe Wang, Anthony Stell, Richard O. Sinnott, Addn Study Group:
The Impact of General Data Protection Regulation on the Australasian Type-1 Diabetes Platform. CBMS 2022: 205-210 - [c176]Richard O. Sinnott, William Hu:
Experiences in Development and Support of a Multi-technology Skin Conditions Clinical Trial Platform. CBMS 2022: 453-458 - [c175]Yang Yang, Richard O. Sinnott:
Automated Recognition and Classification of Cat Pain Through Deep Learning. DataCom 2022: 230-240 - [c174]Richard O. Sinnott, Qi Li, Abdul Mohammad, Luca Morandini:
The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale. DataCom 2022: 316-327 - [c173]Yinluo Jing, Zhiyi Qiao, Richard O. Sinnott:
Benchmarking Container Technologies For IoT Environments. FMEC 2022: 1-8 - [c172]Stephen Kong Luan, Hongwei Yin, Richard O. Sinnott:
Action Recognition in Australian Rules Football Through Deep Learning. ICCS (3) 2022: 563-576 - [c171]Mona Alshardan, Antonette Mendoza, Shanton Chang, Richard O. Sinnott:
Formal and Informal Technology Appropriation in New Learning Environments: The Case of Saudi Students in Australia. PACIS 2022: 128 - [i7]Zihan Yang, Richard O. Sinnott, James Bailey, Qiuhong Ke:
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classication Tasks. CoRR abs/2206.06544 (2022) - [i6]Yueying Chang, Richard O. Sinnott:
Machine Learning-based Classification of Birds through Birdsong. CoRR abs/2212.04684 (2022) - [i5]Chenhao Tong, Aaron Harwood, Maria A. Rodriguez, Richard O. Sinnott:
Multi-Agent Patrolling with Battery Constraints through Deep Reinforcement Learning. CoRR abs/2212.08230 (2022) - 2021
- [j38]Huiling Jiang, Qing Li, Yong Jiang, Gengbiao Shen, Richard O. Sinnott, Chen Tian, Mingwei Xu:
When machine learning meets congestion control: A survey and comparison. Comput. Networks 192: 108033 (2021) - [j37]Yasser Aldwyan, Richard O. Sinnott, Glenn T. Jayaputera:
Elastic deployment of container clusters across geographically distributed cloud data centers for web applications. Concurr. Comput. Pract. Exp. 33(21) (2021) - [j36]Haiyang Yu, Zhen Yang, Muhammad Waqas, Shanshan Tu, Zhu Han, Zahid Halim, Richard O. Sinnott, Udaya Parampalli:
Efficient dynamic multi-replica auditing for the cloud with geographic location. Future Gener. Comput. Syst. 125: 285-298 (2021) - [j35]Yali Zhao, Rodrigo N. Calheiros, Graeme Gange, James Bailey, Richard O. Sinnott:
SLA-Based Profit Optimization Resource Scheduling for Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. IEEE Trans. Cloud Comput. 9(3): 1236-1253 (2021) - [c170]Richard O. Sinnott, Zijian Wang:
Linking User Accounts across Social Media Platforms. BDCAT 2021: 18-27 - [c169]Zuo Huang, Richard O. Sinnott, Qiuhong Ke:
Crowd Counting Using Deep Learning in Edge Devices. BDCAT 2021: 28-37 - [c168]Zihan Yang, Richard O. Sinnott, Qiuhong Ke, James Bailey:
Individual Feral Cat Identification through Deep Learning. BDCAT 2021: 101-110 - [c167]Maxim Priymak, Richard O. Sinnott:
Real-Time Traffic Classification through Deep Learning. BDCAT 2021: 128-133 - [c166]Yi Tian, Jialing Gu, Yiiun Jia, Richard O. Sinnott:
An Exploration of Machine and Deep Learning Models for Fake News Detection in Social Media. BESC 2021: 1-6 - [c165]Richard O. Sinnott, Phillip Law, Jane Pirkis, Lay San Too, Sadia Waleem, Allan Wu:
Historic Twitter Mining: A Case Study Aiming to Identify and Capture the Social Media Network Activities of People who Died by Suicide. e-Science 2021: 169-176 - [c164]Ross Pearson, Hannah Fraser, Martin Bush, Fallon Mody, Ivo Widjaja, Andy Head, David Peter Wilkinson, Richard O. Sinnott, Bonnie Wintle, Mark Burgman, Fiona Fidler, Peter Vesk:
Eliciting group judgements about replicability: a technical implementation of the IDEA Protocol. HICSS 2021: 1-10 - [c163]Zihan Yang, Richard O. Sinnott:
Snake Detection and Classification using Deep Learning. HICSS 2021: 1-10 - [c162]Yutao Dong, Qing Li, Richard O. Sinnott, Yong Jiang, Shutao Xia:
ISP Self-Operated BGP Anomaly Detection Based on Weakly Supervised Learning. ICNP 2021: 1-11 - [c161]Yiqi Wang, Jiawen Li, Yabing Zhang, Richard O. Sinnott:
Identifying lameness in horses through deep learning. SAC 2021: 976-985 - [c160]Richard O. Sinnott, Yuan Wang, Yiqun Wang:
Real-time Route Planning using Mobile Air Pollution Detectors and Citizen Scientists. WiMob 2021: 139-144 - 2020
- [j34]Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott:
Comparison of Optimization-Modelling Methods for Metabolites Production in Escherichia coli. J. Integr. Bioinform. 17(1) (2020) - [c159]Richard O. Sinnott, Donghan Yang, Xueyang Ding, Zhenyuan Ye:
Poisonous Spider Recognition through Deep Learning. ACSW 2020: 14:1-14:7 - [c158]Fanyin Zhuang, Lei Ren, Qianying Dong, Richard O. Sinnott:
A Mobile Application Using Deep Learning to Automatically Classify Adult-Only Images. AIMS 2020: 140-155 - [c157]Deng Pan, Lixian Sun, Rui Wang, Xingjian Zhang, Richard O. Sinnott:
Deepfake Detection through Deep Learning. BDCAT 2020: 134-143 - [c156]Lixuan Ding, Lanting Ding, Richard O. Sinnott:
Fake News Classification of Social Media Through Sentiment Analysis. BigData 2020: 52-67 - [c155]Jingling Zhou, Shiyu Wang, Yunxue Chen, Richard O. Sinnott:
A Web Application for Feral Cat Recognition Through Deep Learning. BigData 2020: 85-100 - [c154]Pei-Yun Sun, Wan-Yun Sun, Yicheng Jin, Richard O. Sinnott:
Heavy Vehicle Classification Through Deep Learning. BigData 2020: 220-236 - [c153]Anthony Stell, Vedant Chauhan, Richard O. Sinnott:
Secure Audit in Support of an Adrenal Cancer Registry. HEALTHINF 2020: 237-248 - [c152]Lu Chen, Yiru Pan, Richard O. Sinnott:
Auto-scaling Walkability Analytics through Kubernetes and Docker SWARM on the Cloud. CLOSER 2020: 261-272 - [c151]Qing Li, Nanyang Huang, Yong Jiang, Richard O. Sinnott, Mingwei Xu:
Scale the Data Plane of Software-Defined Networks: a Lazy Rule Placement Approach. ICDCS 2020: 366-376 - [c150]Guorui Xie, Qing Li, Yong Jiang, Tao Dai, Gengbiao Shen, Rui Li, Richard O. Sinnott, Shutao Xia:
SAM: Self-Attention based Deep Learning Method for Online Traffic Classification. NetAI@SIGCOMM 2020: 14-20 - [c149]Geoff Cunliffe, Chao Liang, Richard O. Sinnott:
Using Social Media to Understand City-wide Movement Patterns and Behaviours. SNAMS 2020: 1-8 - [c148]Tiange Wang, Fengkai Wu, Richard O. Sinnott:
A Case Study in Twitter Bot Identification: Are They Still a Problem? SNAMS 2020: 1-8 - [i4]Huiling Jiang, Qing Li, Yong Jiang, Gengbiao Shen, Richard O. Sinnott, Chen Tian, Mingwei Xu:
When Machine Learning Meets Congestion Control: A Survey and Comparison. CoRR abs/2010.11397 (2020)
2010 – 2019
- 2019
- [j33]Haiyang Yu, Zhen Yang, Richard O. Sinnott:
Decentralized Big Data Auditing for Smart City Environments Leveraging Blockchain Technology. IEEE Access 7: 6288-6296 (2019) - [j32]Kauthar Mohd Daud, Mohd Saberi Mohamad, Zalmiyah Zakaria, Rohayanti Hassan, Zuraini Ali Shah, Safaai Deris, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott:
A non-dominated sorting Differential Search Algorithm Flux Balance Analysis (ndsDSAFBA) for in silico multiobjective optimization in identifying reactions knockout. Comput. Biol. Medicine 113 (2019) - [j31]Haiyang Yu, Yongquan Cai, Richard O. Sinnott, Zhen Yang:
ID-based dynamic replicated data auditing for the cloud. Concurr. Comput. Pract. Exp. 31(11) (2019) - [j30]Karin Clark, Matt Duckham, Marilys Guillemin, Assunta Hunter, Jodie McVernon, Christine M. O'Keefe, Cathy Pitkin, Steven Prawer, Richard O. Sinnott, Deborah Warr, Jenny Waycott:
Advancing the ethical use of digital data in human research: challenges and strategies to promote ethical practice. Ethics Inf. Technol. 21(1): 59-73 (2019) - [j29]Yasser Aldwyan, Richard O. Sinnott:
Latency-aware failover strategies for containerized web applications in distributed clouds. Future Gener. Comput. Syst. 101: 1081-1095 (2019) - [c147]Yali Zhao, Rodrigo N. Calheiros, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott:
SLA-Aware and Deadline Constrained Profit Optimization for Cloud Resource Management in Big Data Analytics-as-a-Service Platforms. CLOUD 2019: 146-155 - [c146]Minh Tri Truong, Aaron Harwood, Richard O. Sinnott, Shiping Chen:
Cost-Efficient Stream Processing on the Cloud. CLOUD 2019: 209-213 - [c145]Mona Mesfer Alshardan, Antonette Mendoza, Shanton Chang, Richard O. Sinnott:
Students' Use of Internet Technologies for Interactions in Learning Practices: A Study from Saudi Arabia's Higher Education. ACIS 2019: 85 - [c144]Anirudh Joshi, Timothy Baldwin, Richard O. Sinnott, Cécile Paris:
Reevaluating Argument Component Extraction in Low Resource Settings. DeepLo@EMNLP-IJCNLP 2019: 219-224 - [c143]Mihira Wanninayake, Richard O. Sinnott:
An Exploration of Commuter Travel Time Through Social Media Analytics on the Cloud. BDCAT 2019: 43-51 - [c142]Peng Zhao, Xinrui Lyu, Richard O. Sinnott, Shimin Wei:
Crowd-Counting through a Cascaded, Multi-Task Convolutional Neural Network. BDCAT 2019: 63-66 - [c141]Lu Chen, Yunjie Jia, Pei-Yun Sun, Richard O. Sinnott:
Identification and Classification of Trucks and Trailers on the Road Network through Deep Learning. BDCAT 2019: 117-126 - [c140]Huaqing Yu, Shining Song, Shaoxi Ma, Richard O. Sinnott:
Estimating Fruit Crop Yield through Deep Learning. BDCAT 2019: 145-148 - [c139]Ying Hu, Richard O. Sinnott:
Big Data Analytics Exploration of Green Space and Mental Health in Melbourne. CCGRID 2019: 648-657 - [c138]Arnaldo Pereira Ferreira, Richard O. Sinnott:
A Performance Evaluation of Containers Running on Managed Kubernetes Services. CloudCom 2019: 199-208 - [c137]Shangyu Chen, Shuo Wang, Richard O. Sinnott:
Parametric Canonical Correlation Analysis. CloudCom 2019: 347-353 - [c136]Richard O. Sinnott:
Migrating a National Cloud Platform for Urban Analytics: A Performance Assessment Framework. CloudCom 2019: 354-361 - [c135]Yali Zhao, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott:
Profit Optimization for Splitting and Sampling Based Resource Management in Big Data Analytics-as-a-Service Platforms in Cloud Computing Environments. eScience 2019: 156-167 - [c134]Richard O. Sinnott:
The Design and Development of a Cloud-based Platform Supporting Team-oriented Evidence-based Reasoning: SWARM Systems Paper. HICSS 2019: 1-10 - [c133]Yao Pan, Ian Chen, Francisco V. Brasileiro, Glenn T. Jayaputera, Richard O. Sinnott:
A Performance Comparison of Cloud-Based Container Orchestration Tools. ICBK 2019: 191-198 - [c132]Shuo Wang, Surya Nepal, Richard O. Sinnott, Carsten Rudolph:
P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories. ICWS 2019: 1-10 - [c131]Yali Zhao, Rodrigo N. Calheiros, Athanasios V. Vasilakos, James Bailey, Richard O. Sinnott:
Profit Maximization and Time Minimization Admission Control and Resource Scheduling for Cloud-Based Big Data Analytics-as-a-Service Platforms. ICWS 2019: 26-47 - [c130]Gengbiao Shen, Qing Li, Yong Jiang, Richard O. Sinnott, Dong Lin, Zehua Guo, Yi Wang:
Chunk-level request-grant-transfer mode for QoE-sensitive video delivery in CDN. IWQoS 2019: 12:1-12:10 - [c129]Mee K. Lee, Mohd Saberi Mohamad, Yee Wen Choon, Kauthar Mohd Daud, Nurul Athirah Nasarudin, Mohd Arfian Ismail, Zuwairie Ibrahim, Suhaimi Napis, Richard O. Sinnott:
A Hybrid of Particle Swarm Optimization and Minimization of Metabolic Adjustment for Ethanol Production of Escherichia Coli. PACBB 2019: 36-44 - 2018
- [j28]Lei Wang, Qing Li, Richard O. Sinnott, Yong Jiang, Jianping Wu:
An intelligent rule management scheme for Software Defined Networking. Comput. Networks 144: 77-88 (2018) - [j27]Timothy van Gelder, Richard de Rozario, Richard O. Sinnott:
SWARM: Cultivating Evidence-Based Reasoning. Comput. Sci. Eng. 20(6): 22-34 (2018) - [j26]Adel Nadjaran Toosi, Richard O. Sinnott, Rajkumar Buyya:
Resource provisioning for data-intensive applications with deadline constraints on hybrid clouds using Aneka. Future Gener. Comput. Syst. 79: 765-775 (2018) - [j25]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Privacy-protected statistics publication over social media user trajectory streams. Future Gener. Comput. Syst. 87: 792-802 (2018) - [j24]Yang Lu, Richard O. Sinnott:
Semantic privacy-preserving framework for electronic health record linkage. Telematics Informatics 35(4): 737-752 (2018) - [c128]Minh Tri Truong, Aaron Harwood, Richard O. Sinnott, Shiping Chen:
Performance Analysis of Large-Scale Distributed Stream Processing Systems on the Cloud. IEEE CLOUD 2018: 754-761 - [c127]Shanshan Chen, Xudong Zhou, Guiping Zhou, Richard O. Sinnott:
Distributed Data Load Balancing for Scalable Key-Value Cache Systems. ACA 2018: 181-194 - [c126]Richard O. Sinnott, Ziyue Guan:
Prediction of Air Pollution through Machine Learning Approaches on the Cloud. BDCAT 2018: 51-60 - [c125]Richard O. Sinnott, Fang Wu, Wenbin Chen:
A Mobile Application for Dog Breed Detection and Recognition Based on Deep Learning. BDCAT 2018: 87-96 - [c124]Anirudh Joshi, Richard O. Sinnott:
Modelling Implicit Content Networks to Track Information Propagation Across Media Sources to Analyze News Events. eScience 2018: 475-485 - [c123]Yikai Gong, Richard O. Sinnott, Paul Rimba:
RT-DBSCAN: Real-Time Parallel Clustering of Spatio-Temporal Data Using Spark-Streaming. ICCS (1) 2018: 524-539 - [c122]Chang Liu, Richard O. Sinnott:
A Platform for Exploring Social Media Analytics of Fast Food Restaurants in Australia. ICCSA (1) 2018: 231-244 - [c121]Ke Kang, Richard O. Sinnott:
Improving Online Argumentation Through Deep Learning. ICCSA (1) 2018: 376-391 - [c120]Yang Hong, Richard O. Sinnott:
A Social Media Platform for Infectious Disease Analytics. ICCSA (1) 2018: 526-540 - [c119]Shuo Wang, Richard O. Sinnott, Surya Nepal:
A Privacy-Preserving Semantic Annotation Framework Using Online Social Media. ICWS 2018: 353-372 - [c118]Anirudh Joshi, Tim Baldwin, Richard O. Sinnott, Cécile Paris:
UniMelb at SemEval-2018 Task 12: Generative Implication using LSTMs, Siamese Networks and Semantic Representations with Synonym Fuzzing. SemEval@NAACL-HLT 2018: 1124-1128 - [c117]Yang Lu, Richard O. Sinnott, Karin Verspoor:
Semantic-Based Policy Composition for Privacy-Demanding Data Linkage. TrustCom/BigDataSE 2018: 348-359 - [c116]Shuo Wang, Richard O. Sinnott, Surya Nepal:
PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. TrustCom/BigDataSE 2018: 920-931 - [c115]Shuo Wang, Richard O. Sinnott, Surya Nepal:
P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. TrustCom/BigDataSE 2018: 972-983 - [c114]Yang Lu, Richard O. Sinnott, Karin Verspoor, Udaya Parampalli:
Privacy-Preserving Access Control in Electronic Health Record Linkage. TrustCom/BigDataSE 2018: 1079-1090 - [c113]Richard O. Sinnott, Yikai Gong, Shiping Chen, Paul Rimba:
Urban Traffic Analysis Using Social Media Data on the Cloud. UCC Companion 2018: 134-141 - [c112]San Kho Lin, Umer Altaf, Glenn T. Jayaputera, Jiajie Li, Davis Marques, David Meggyesy, Sulman Sarwar, Shivank Sharma, William Voorsluys, Richard O. Sinnott, Ana Novak, Vivian Nguyen, Kristan Pash:
Auto-Scaling a Defence Application across the Cloud Using Docker and Kubernetes. UCC Companion 2018: 327-334 - [i3]Stian Soiland-Reyes, Farah Zaib Khan, Richard O. Sinnott, Andrew Lonie, Michael R. Crusoe, Carole A. Goble:
Capturing interoperable reproducible workflows with Common Workflow Language. RO 2018 - 2017
- [j23]Sehrish Kanwal, Farah Zaib Khan, Andrew Lonie, Richard O. Sinnott:
Investigating reproducibility and tracking provenance - A genomic workflow case study. BMC Bioinform. 18(1): 337 (2017) - [j22]Shuo Wang, Richard O. Sinnott:
Protecting personal trajectories of social media users through differential privacy. Comput. Secur. 67: 142-163 (2017) - [j21]Zhanibek Kozhirbayev, Richard O. Sinnott:
A performance comparison of container-based technologies for the Cloud. Future Gener. Comput. Syst. 68: 175-182 (2017) - [j20]Richard O. Sinnott, Wei Wang:
Estimating micro-populations through social media analytics. Soc. Netw. Anal. Min. 7(1): 13:1-13:19 (2017) - [j19]Surya Nepal, Richard O. Sinnott, Carsten Friedrich, Catherine Wise, Shiping Chen, Sehrish Kanwal, Jinhui Yao, Andrew Lonie:
TruXy: Trusted Storage Cloud for Scientific Workflows. IEEE Trans. Cloud Comput. 5(3): 428-442 (2017) - [c111]Mona Mesfer Alshardan, Antonette Mendoza, Richard O. Sinnott:
Exploring Micro and Macro Level Appropriation of an E-learning Platform: A Study in a Middle Eastern and a Western Educational Contexts. ACIS 2017: 33 - [c110]Sehrish Kanwal, Andrew Lonie, Richard O. Sinnott:
Digital reproducibility requirements of computational genomic workflows. BIBM 2017: 1522-1529 - [c109]Yikai Gong, Luca Morandini, Richard O. Sinnott:
The design and benchmarking of a Cloud-based platform for processing and visualization of traffic data. BigComp 2017: 13-20 - [c108]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Privacy-protected place of activity mining on big location data. IEEE BigData 2017: 1101-1108 - [c107]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Sensitive gazetteer discovery and protection for mobile social media users. IEEE BigData 2017: 1109-1116 - [c106]Yasser Aldwyan, Richard O. Sinnott:
Recovery-Oriented Resource Management in Hybrid Cloud Environments. CLOSER 2017: 225-237 - [c105]Minh Tri Truong, Aaron Harwood, Richard O. Sinnott:
Predicting the Stability of Large-scale Distributed Stream Processing Systems on the Cloud. CLOSER 2017: 575-582 - [c104]Min Gao, Yang Lin, Richard O. Sinnott:
A Mobile Application for Plant Recognition through Deep Learning. eScience 2017: 29-38 - [c103]Farzad Khodadadi, Richard O. Sinnott:
A Semantic-aware Framework for Service Definition and Discovery in the Internet of Things Using CoAP. EUSPN/ICTH 2017: 146-153 - [c102]Stephan Gloeckner, Salla E. Toikkanen, Jiankun Rui, William Hu, Richard O. Sinnott:
A Case Study of the International Niemann-Pick Disease Registry (INPDR). Healthcom 2017: 1-6 - [c101]Yang Lu, Richard O. Sinnott, Karin Verspoor:
A Semantic-Based K-Anonymity Scheme for Health Record Linkage. HIC 2017: 84-90 - [c100]Jinrong Wu, Richard O. Sinnott, Jemie Effendy, Stephan Glöckner, William Hu, Jiajie Li:
Usage Patterns and Data Quality: A Case Study of a National Type-1 Diabetes Study. ICMHI 2017: 18-27 - [c99]Zhi Zheng, Loren Bruns, Jiajie Li, Richard O. Sinnott:
A Mobile Application and Cloud Platform Supporting Research into Alcohol Consumption. ICMHI 2017: 48-55 - [c98]Dingmin Wang, Qing Li, Lei Wang, Richard O. Sinnott, Yong Jiang:
A hybrid-timeout mechanism to handle rule dependencies in software defined networks. INFOCOM Workshops 2017: 241-246 - [c97]