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A Study on Faults Diagnosis and Early-Warning Method of Tailings Reservoir Monitoring Points based on Intelligent Discovery

Tianyong Wu
2017 International Journal of Performability Engineering  
It can be proved by the experimental results and two years stable operation of the system that BP neural network algorithm can accurately predict the value of safety monitoring data.  ...  BP neural network algorithm is used to discuss the intelligent discovery and early warning of the faults on-line monitoring system of tailings.  ...  Acknowledgements The authors are grateful to the area editor and the anonymous reviewers for their valuable comments and suggestions on this paper.  ... 
doi:10.23940/ijpe.17.05.p13.697710 fatcat:v47znbb7dvan3phe4vx6gvjirm


2006 International Journal of Computational Intelligence and Applications  
This paper presents an investigation into the detection and quantification of persons in real-world beach scenes for the automated monitoring of public recreation areas.  ...  Aside from the obvious use of video and digital imagery for surveillance applications, this research focuses on the analysis of images for the purpose of predicting trends in the intensity of public usage  ...  If a system could be developed to monitor and detect erratic or uncharacteristic swimmer behaviour and notify the lifeguard, this would provide extra safety measures for swimmers.  ... 
doi:10.1142/s1469026806001927 fatcat:u7dpdetu4jfwrgqi34lnxpkdmi

A Study on the Design of Children Intelligent Guardianship Product Based on Artificial Intelligence Technology

Yan-Xia Qu, Ming-Feng Wang, A. Ghadouani, F. Wu
2020 E3S Web of Conferences  
The rapid development of AI has affected the design process. The ability to analyze big data and AI's efficiency, rapidity will bring great changes to the monitoring products especially for children.  ...  At present, the vast majority of intelligent child care products are based on the parental experience, designed in the aspect of parental supervision, and the children who use the product are often neglected  ...  Acknowledgments Special thanks to Shanghai University of Engineering Science and Shanghai Summit Discipline in Design for supporting this research in China.  ... 
doi:10.1051/e3sconf/202017902050 fatcat:7zuopyte3jgu3j22isauqedrxq

The Drone Revolution of Shark Science: A Review

Paul A. Butcher, Andrew P. Colefax, Robert A. Gorkin, Stephen M. Kajiura, Naima A. López, Johann Mourier, Cormac R. Purcell, Gregory B. Skomal, James P. Tucker, Andrew J. Walsh, Jane E. Williamson, Vincent Raoult
2021 Drones  
beach safety.  ...  To provide some guidance for their future use in relation to sharks, this review provides an overview of how drones are currently used with critical context for shark monitoring.  ...  Artificial Intelligence for Shark Monitoring, Detection, and Alerting Artificial intelligence (AI), encompassing systems using machine learning (ML), deep learning and computer vision, is revolutionising  ... 
doi:10.3390/drones5010008 fatcat:ar3vy3apz5g33cg63zhzn4hhc4

The potential of unmanned aerial systems for sea turtle research and conservation: a review and future directions

AF Rees, L Avens, K Ballorain, E Bevan, AC Broderick, RR Carthy, MJA Christianen, G Duclos, MR Heithaus, DW Johnston, JC Mangel, F Paladino (+11 others)
2018 Endangered Species Research  
Addresses for other authors are given in Supplement 1 at ABSTRACT: The use of satellite systems and manned aircraft surveys for remote data collection has  ...  We discuss the potential constraints of these systems within the ethical and legal frameworks which researchers must operate and the difficulties that can result with regard to storage and analysis of  ...  Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government.  ... 
doi:10.3354/esr00877 fatcat:ch7yba3jergnhkqkjo6bb45qfu

Unmanned Aerial Vehicle and Artificial Intelligence for Thermal Target Detection in Search and Rescue Applications

Joseph McGee, Sajith J Mathew, Felipe Gonzalez
2020 2020 International Conference on Unmanned Aircraft Systems (ICUAS)  
The use of Remotely Piloted Aircraft Systems (RPAS) for SAR purposes still remains in its infancy and the platforms represented are remotely piloted, with no mention of autonomous systems throughout the  ...  MATERIALS AND METHODS Our approach to generate a predictive detection monitoring system employs multiple stages [12] (Figure 1 ).  ... 
doi:10.1109/icuas48674.2020.9213849 fatcat:ml4yfmf5dzeaxgbajtyhv4ikfy

Real-Time Detection of Ground Objects Based on Unmanned Aerial Vehicle Remote Sensing with Deep Learning: Application in Excavator Detection for Pipeline Safety

Meng, Peng, Zhou, Zhang, Lu, Baumann, Du
2020 Remote Sensing  
Thus, the UAV-ED system has good performance and would benefit the management of pipeline safety.  ...  Then, the UAV for an excavator detection system (UAV-ED) is further constructed for operational application. UAV-ED is composed of a UAV Control Module, a UAV Module, and a Warning Module.  ...  Conflicts of Interest: The authors declare no conflict of interest. Remote Sens. 2020, 12, 182  ... 
doi:10.3390/rs12010182 fatcat:vh7ohdsntrbibivep3qvmgnlle

Preventing Future Oil Spills with Software-Based Event Detection

S.S. Iyengar, Supratik Mukhopadhyay, Christopher Steinmuller, Xin Li
2010 Computer  
An interactive/intelligent sensing, inspection, and visualization system provides real-time monitoring and analysis.  ...  is there to operate them. • A security system could order an Remote center Analysis + Prediction Relevant parameters need to be captured/measured: • Interior pressure • Water temperature • Water/coil  ... 
doi:10.1109/mc.2010.235 fatcat:xqxy6zkgkneezb4wri6w5cejle

StormSense: A Blueprint for Coastal Flood Forecast Information & Automated Alert Messaging Systems

Jon Derek Loftis, Sridhar Katragadda, Sokwoo Rhee, Cuong Nguyen
2018 2018 IEEE International Science of Smart City Operations and Platforms Engineering in Partnership with Global City Teams Challenge (SCOPE-GCTC)  
StormSense's network employs a mix of ultrasonic sonar and radar remote sensing technologies to record water levels and develop autonomous alert messaging systems through the use of three separate cloud  ...  In furtherance of this effort, the Virginia Commonwealth Center for Recurrent Flooding Resiliency's Tidewatch tidal forecast system is being used as a starting point to integrate the extant (NOAA) and  ...  Figure 3 . 3 GCTC Blueprint Solution for StormSense flood monitoring, model predictions, and automated alert system protocols.  ... 
doi:10.1109/scope-gctc.2018.00009 fatcat:6xgaa4zy5rfmln6b5gxaaejmei

Measuring Australian Children's Water Safety Knowledge: The National Water Safety Quiz

Amy E. Peden, Richard Charles Franklin, Justin Scarr
2017 International Journal of Aquatic Research and Education  
This research is the first of its kind to measure water safety knowledge at a population level for primary school children, using an online web-based tool.  ...  The NWSQ identified areas of water safety where knowledge was poor including the topics of cardio pulmonary resuscitation (CPR), swimming, and river safety.  ...  Acknowledgements: The development of the National Water Safety Quiz and this research were supported by the Royal Life Saving Society -Australia to aid in the reduction of drowning.  ... 
doi:10.25035/ijare.10.02.04 fatcat:mcb2j6jjr5guhb7dq2jlonoksq

Guidelines and Challenges Towards the Implementation of Intelligent Sensing Techniques in a Water Quality Prediction Application

Marcos X. Álvarez, Moisés Sánchez, Olga Zlydareva, Gregory M. P. O'Hare, Michael J. O'Grady
2014 Proceedings of the 3rd International Conference on Sensor Networks  
SmartCoasts is an INTERREG 4A project aimed at providing novel solutions for real-time monitoring and forecasting of coastal water quality.  ...  The intended predictive system relies on freely available online weather forecasts and a suite of real-time meteorological data measured across a river catchment.  ...  This paper is a case study on the deployment of an EWSN aimed at feeding a marine water quality forecasting system for short and mid-term predictions.  ... 
doi:10.5220/0004902104280431 dblp:conf/sensornets/AlvarezSZOO14 fatcat:4nxo7xidhbaqdgtaiwsylc67zi

Scaling Up From Regional Case Studies to a Global Harmful Algal Bloom Observing System

Clarissa R. Anderson, Elisa Berdalet, Raphael M. Kudela, Caroline K. Cusack, Joe Silke, Eleanor O'Rourke, Darcy Dugan, Molly McCammon, Jan A. Newton, Stephanie K. Moore, Kelli Paige, Steve Ruberg (+4 others)
2019 Frontiers in Marine Science  
to plan, adapt to a changing marine environment, and ensure coastal industries are supported and sustained in the years ahead; and (6) support implementation of the recent calls for action by the United  ...  Nations Decade 2010 Sustainable Development Goals (SDGs) to develop indicators that are relevant to an effective and global HAB early warning system.  ...  CARICOOS through satellite observing and dissemination tools is proving suitable as an early warning system for the detection of massive Sargassum beachings along Caribbean coasts.  ... 
doi:10.3389/fmars.2019.00250 fatcat:sk5txlk2kfbjjayzukm3ticely

Understanding Intelligent Systems

Alex Rosenblat, Tamara Kneese, danah boyd
2014 Social Science Research Network  
Safety is considered an intuitively good reason for taking some action to support or prohibit the development of intelligent systems, but how that risk-averse concern is co-opted to normalize technology  ...  aspects of a single intelligent system, and grouping each aspect with characteristics of other intelligent systems that implicate analogous policy concerns.  ... 
doi:10.2139/ssrn.2537535 fatcat:nois4dcbajcvrcq3vd2azxlsye

Instance Segmentation for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery

Osmar Luiz Ferreira de Carvalho, Rebeca dos Santos de Moura, Anesmar Olino de Albuquerque, Pablo Pozzobon de Bem, Rubens de Castro Pereira, Li Weigang, Dibio Leandro Borges, Renato Fontes Guimarães, Roberto Arnaldo Trancoso Gomes, Osmar Abílio de Carvalho Júnior
2021 ISPRS International Journal of Geo-Information  
Misappropriation of public lands is an ongoing government concern.  ...  This remote sensing application impacts the inspection cost, tribute, and environmental conditions.  ...  Acknowledgments: The authors thank the following institutions: National Council for Scientific and Technological Development (CNPq) for the fellowship granted to professors Osmar Abílio de Conflicts  ... 
doi:10.3390/ijgi10120813 fatcat:nxdc4v4igjegve4lxqhaeleqqe

WaterHCI: Exploring the intersection between water, humans, and technology

Steve Mann, Mark Mattson, Steve Hulford, Seung-min Park, Fadel Adib, Chris Houser, Stephen Diamond, Pierre Lafontaine, Florian Mueller, Christal Clashing, Jason Baerg, Ana Klasnja (+13 others)
2022 Zenodo  
WaterHCI (Water-Human-Computer Interaction) is a field of study and practice focusing on the design and creation of interactive devices, systems, and experiences at the intersection of water, humans, and  ...  This year, at our 24th annual WaterHCI (de)conference, we focus our attention on ideas for creating spaces and places (e.g.  ...  with first responders and beach managers based on predicted and measured surf conditions and real-time monitoring of beach user activity.  ... 
doi:10.5281/zenodo.6403879 fatcat:osw6sm7v6zf5lfzctdzvymd63y
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