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Risk Chain and Key Hazard Management for Urban Rail Transit System Operation Based on Big Data Mining

Yongsheng Tang, Gengxin Sun
2021 Discrete Dynamics in Nature and Society  
First, it builds a data pool based on the operation status of several cities and then links them into a data lake to form an integrated data warehouse to find coupled and interactive rail transit operation  ...  utilization of rail transit operation data, but high operation failure rate, and providing a basis for evidence-based formulation and revision of relevant industry standards and specifications.  ...  of urban rail transit based on operation fault log,” Safety Science, vol. 94, no. 94c, pp. 10–16, 2017.  ... 
doi:10.1155/2021/3692151 fatcat:u4y7egjptzddhoz7umw4nxjlqm

A review of key planning and scheduling in the rail industry in Europe and UK

Christopher Turner, Ashutosh Tiwari, Andrew Starr, Kevin Blacktop
2015 Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit  
This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches.  ...  Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years.  ...  Hu et al. 5 propose a scheduling approach utilising a particle swarm algorithm to optimise the scheduling within an urban rail network, based on data hosted in a cloud repository.  ... 
doi:10.1177/0954409714565654 fatcat:4gg24wyturedfgzs6gibzz4b2m

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia, W., see Lian, J., 1343-1351 Jia, W., see  ...  Diagnosis in Photovoltaic Arrays Using GBSSL Method and Proposing a Fault Correction System; TII Aug. 2020 5300-5308  ...  ., +, TII Jan. 2020 193-201 Data-Driven Mode Identification and Unsupervised Fault Detection for Nonlinear Multimode Processes.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

ICIEA 2020 Breaker Page

2020 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA)  
Lv Gang Invited Session on Power Electronics Application Technologies in Rail Transit: Intelligent Interface Design, Advanced Control Strategies, Modelling and Reliability Organizers: Prof.  ...  on Data Mining Algorithm Chunlan Deng, Yao Xiao, Qianlong Zhu and Yi Guo Session: SS01 Invited Session on Autonomous vehicle state-of-the-art, challenges and future road map & Invited Session on Distributed  ... 
doi:10.1109/iciea48937.2020.9248094 fatcat:rpirunidu5cqtjseayuxjq5azm

Utilizing an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Overcrowding Level Risk Assessment in Railway Stations

Hamad Alawad, Min An, Sakdirat Kaewunruen
2020 Applied Sciences  
To ensure the safe and secure operation of stations and capture the real-time risk status, it is imperative to consider a dynamic and smart method for managing risk factors in stations.  ...  In this research, a framework to develop an intelligent system for managing risk is suggested.  ...  The authors are also wishes to thank to the European Commission for the financial sponsorship of the H2020-RISE Project No. 691135 "RISEN: Rail Infrastructure Systems Engineering Network", which enables  ... 
doi:10.3390/app10155156 fatcat:zllviurbqzgeppjcgixogztc5u

Toward virtual biopsy through an all fiber optic ultrasonic miniaturized transducer: a proposal

A. Acquafresca, E. Biagi, L. Masotti, D. Menichelli
2003 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
to rail operation ............Rail to rail amplifiers ............Rail to rail inputs ............Rail to rail outputs ........Rectifiers ........RLC circuits ........Sampled data circuits ........Sequential  ...  Page 16 ........Clustering methods ............Pattern clustering ........Data mining ............Association rules ............Data privacy ............Text analysis ............Text mining ..........  ... 
doi:10.1109/tuffc.2003.1244749 fatcat:l3jre4etsvcqzfyz2jqggji3gy

Tackling Climate Change with Machine Learning [article]

David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli (+6 others)
2019 arXiv   pre-print
We call on the machine learning community to join the global effort against climate change.  ...  Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help.  ...  Third, urban policy-making based on intelligent infrastructure faces major challenges with data management [341] .  ... 
arXiv:1906.05433v2 fatcat:ykmqsivkbfcazaz3wl5f7srula

Newbits - Market Research Analysis

Ivan Zaldivar
2017 Zenodo  
All case studies, which are based on actual pilot projects, are carefully selected and validated as representative for the current ITS market, covering several transport modes - road, rail and inland waterways  ...  container transport in the Netherlands, a predictive maintenance solution for railway operations in the United Kingdom are investigated.  ...  Operations KEEP SAFE solution operates in a secure server with the data provided using algorithms based on a metadata-driven, safety-focused model of railway operation and performance.  ... 
doi:10.5281/zenodo.1243130 fatcat:eb3jcggvuff7xk2hmwjvr76cxq

Program

2022 2022 International Conference on Decision Aid Sciences and Applications (DASA)  
Each EEG signal is decomposed using the empirical mode decomposition (EMD) algorithm into nine Intrinsic mode functions (IMFs). Ten different features are extracted from these IMFs.  ...  and diagnosis strategies-based artificial intelligence to boost the progress and the transition towards smart grids-based green energies. 14: 20 Vehicle Location Privacy Protection Mechanism Based on  ...  This report suggests that students' final grades can be predicted using data mining techniques based on past research.  ... 
doi:10.1109/dasa54658.2022.9765271 fatcat:ttqppf4j3navnaxe653mrzmezi

The future of employment: How susceptible are jobs to computerisation?

Carl Benedikt Frey, Michael A. Osborne
2017 Technological forecasting & social change  
Based on these estimates, we examine expected impacts of future computerisation on US labour market outcomes, with the primary objective of analysing the number of jobs at risk and the relationship between  ...  According to our estimates, about 47 percent of total US employment is at risk.  ...  Sensor data is often coupled with new ML fault-and anomaly-detection algorithms to render many tasks computerisable.  ... 
doi:10.1016/j.techfore.2016.08.019 fatcat:fhczx27jbbc3dka7apiqwlzccq

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
Consensus-Based Formation Control and Obstacle SuBT4 Room 4 Intelligent Transportation Systems (Regular Session) 13:30-13:50 SuBT4.1 Traffic Signal Transition Time Prediction Based on Aerial Captures  ...  Moreover, by comparing the logged behavior with the behavior defined in the available models, faults can be identified.  ...  In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

International logistics [chapter]

2004 Flight Catering  
and enabling making operations on the gathered data.  ...  (e.g. based on data warehouses using computerized systems);  examination of the acceptance level of risks in the supply chain among its members;  the type and scope of activities to prevent risks in  ...  The principle of operation is based on measuring the time of arrival of radio signals from the satellites to the receiver.  ... 
doi:10.1016/b978-0-7506-6216-1.50015-5 fatcat:fe76dq35i5fdhi3ew2hmpi5mta

The Global Quest for Sustainability. The Role of Green Infrastructure in a Post-Pandemic World [article]

Carlo Secchi, Alessandro Gili
2021 Zenodo  
However, infrastructure expenditure will not come without risk: after the pandemic, the world will be left with the highest levels of public and private debt since World War II, and the sustainability  ...  Coal power plants are generally large and operationally not flexible, and are hence preferred for providing base load; gas power plants are smaller and more modular, plus they can operate very flexibly  ...  transit operator in developing its 5-year business plan with strong focus on market assessment and identification of new growth opportunities, helping an airport management company in formulating its  ... 
doi:10.5281/zenodo.5555866 fatcat:6zpegtpbqjci3ewmzynamcaow4

Cross-Covariance Models [chapter]

2017 Encyclopedia of GIS  
Efficient tools for extracting information from geo-spatial data are crucial to organizations which make decisions based on large spatial datasets, including the National Aeronautics and Space Administration  ...  The complexity of spatial data and intrinsic spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns.  ...  Cloaking Algorithms for Location Privacy, Fig. 4 An example of peer-to-peer spatial cloaking Gas Station Base Station E D B A C Data Mining To perform data mining on spatial data, spatial cloaking  ... 
doi:10.1007/978-3-319-17885-1_100240 fatcat:2ojzb7es7rhofinw4abol6dgc4

List of Contributors [chapter]

Shibakali Gupta, Indradip Banerjee, Siddhartha Bhattacharyya
2019 Big Data Security  
"Spares Consumption Combination Forecasting Based on Genetic Algorithm and Exponential Smoothing Method, Fifth International Symposium on Computational Intelligence and Design 2012". [14] Akpinar, Mustafa  ...  Their business model is based on merging biometric identification methods and blockchain technology.  ...  The need for developing data-driven algorithms for creating applications on several other fields can open a new field of study.  ... 
doi:10.1515/9783110606058-202 fatcat:3jtqdtgsavas7n3vxrtbrkdbdy
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