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TENCON 2008 - 2008 IEEE Region 10 Conference
In this paper, an energy-efficient data acquisition method has investigated for WSN applications using modern machine learning techniques. ... Wireless sensor networking (WSN) and modern machine learning techniques have encouraged interest in the development of vehicle monitoring systems that ensure safe and secure operations ofthe rail vehicle ... CONCLUSION Intelligent machine learning techniques play a key role in developing monitoring systems for both freight and passenger railway systems. ...doi:10.1109/tencon.2008.4766574 fatcat:uwjtubjxsjhjdedejs5xtj3yru
incident assessment, incident prognostics, decision support, and visualization. ... This research incorporates an OSA (open system architecture) for railways with the railway cybersecurity OSA-CBM (open system architecture for condition-based maintenance) architecture. ... Acknowledgments The authors would like to thanks Luleå Railway Research Center (JVTC) for sponsoring research work. The authors would also like to acknowledge the contributions of Dr. ...doi:10.13052/jcsm2245-1439.912 fatcat:ew4twrtxafcghjrq7n4zuusmzu
In combination with the closed information available at network managers this information management system can then be used as input for probabilistic risk assessment and the risk based ranking of assets ... paper will provide a taxonomy of freely available European open data types and sources that are potentially related to support asset management activities which aim at improving the global safety of railway ... These matchings can then be used to apply machine learning algorithms that might allow the automated detection of specific risky sections within a railway network, but can also be used as early warning ...doi:10.5281/zenodo.1483183 fatcat:zjnytzpnsbd4zgvf65cs5eagaq
Urban Rail Transit
studies, we decided to use AI techniques and in particular machine learning to systematize, streamline, and strengthen conventional approaches used for safety analysis and certification. ... This database of learning examples is not completely representative of the field of railway safety and is tainted with ''noisy'' data. ... system (KBS) with learning. ...doi:10.1007/s40864-019-0102-3 fatcat:hpswfydfo5hodj5r4xwfyceh7q
The supervised machine learning algorithms considered for the empirical analysis includes the K-Nearest Neighbour (KNN), Support Vector Machine (SVM) and Random Forest (RF). ... A massive death toll caused annually due to road crash incidents, and among them, vulnerable road users (VRU) are endangered with high crash severity. ... With the black box tactics, machine learning models do not need any presumption mathematical function. These models have complex structures with robust learning ability [39, 40] . ...doi:10.1371/journal.pone.0255828 pmid:34352026 pmcid:PMC8341492 fatcat:cpgysd5pejarhn25ufa24mjueu
Performance analysis shows that decision tree learning model has better generalization ability. The accuracy of 0.9761 is significantly greater than the other machine learning models. ... An automatic train protection (ATP) system is the core to ensure operation safety of high-speed railway. ... It can be seen that machine learning methods have achieved remarkable results compared with the traditional methods. ...doi:10.1109/access.2021.3113381 fatcat:dgekt4whsrhsnmkt5kb7vdxwf4
From the study, we can establish that machine learning techniques can effectively map and predict flood-prone areas and serve as a tool for developing flood mitigation policies and plans. ... However, due to the increased frequency of flooding and related disasters, coupled with the continuous changes in natural and social-economic conditions, it has become vital to predict areas with the highest ... Similarly, machine learning models can be adopted and replicated in multiple locations with limited data availability. ...doi:10.3390/su14095039 fatcat:jzcwqvvyerhkjms36ybnnzokli
To overcome this problem, this study proposes the data preprocessing method (DPM) to calculate the correlation coefficient value using the subjective and objective ranking incidence matrixes; according ... Accordingly, combining the AHP with the artificial neural network (ANN) methodologies would theoretically be a proper solution to bring a ranking predication model by creating the obscure relations between ... Meanwhile, artificial neural networks (ANN) are promising tools of machine learning which can be applied to multi-objective decision problems and utilized to automate and forecast the decision-making results ...doi:10.3846/13923730.2012.699914 fatcat:5grgovzhcjf3xca6k2dsy3mppy
The applications of text analysis are far and wide, from simple automation to advanced interactions between the person inputting the data and the system they interact with. ... Handling text data with machine learning methods brought interesting challenges to the area that got further extended by incorporation of some natural language specifics. ... David Seuss  In the GB Railways, two systems are in operation today to exploit these benefits: in the Close Call System and the Confidential Incident Reporting and Analysis System. ...doi:10.22214/ijraset.2019.6251 fatcat:g2d3rot64zasvgmka5kfpinyua
On the same day Berlin said that the Teutons had captured 6700 prisoners, with many cannon and machine guns, in that region. ... THE FIRST HUNDRED THOUSAND By Ian Hay A war book straight from the trenches, and such a one as only a trained nov- elist could have written; graphic, absorbing, full of humorous incidents, and with bits ...
It would really be much more interesting to learn, were that possible, Dr. Johnson's opinion of Mr. Birrell. ... Our Cabinets refuse to be killed by an adverse vote in the Luxembourg-—one lethal Chamber is sufficient—but the incident is none the less a blow to the Ministry. ...
Every Saturday: A Journal of Choice Reading
Ihedalus and Icarus, their wings of feathers glued with wax, and their flight over the sea, and what befell Icarus for soaring too high, are mythoIo<ncal personages and incidents of which they made "sure ... The Duke of Aiwll has given the sanction of his rank and his inteUigence to a new society, which has been set up to conquer the difSculties of sailing in the air. ...
Based on the set-pair analysis (SPA) theory and cosine similarity measure (CSM), the comprehensive evaluation values and rankings of the safety situation are first calculated from the distance and trend ... The evaluation of the railway operation safety situation is important for managers to ensure transportation safety and make control decisions. ... similarity, and it has been widely used in the fields of machine learning, pattern recognition, and fuzzy strategic decision-making  . ...doi:10.1155/2020/1796132 fatcat:32jb4x4frnafxlm45v552gxs7y
LITERARY AND LEARNED. ... complied. ving, therefore, witnessed the extraordinary dis- charge of water by this machine, the rapidity with which it was got ready, the simplicity of its means, and the facility and certainty with ...
This paper is concerned with the current tunnel practices in Ethiopia, the main challenges and risks which were associated with tunneling, risk assessment and controlling measures. ... The qualitative analysis incorporates risk identification, risk classification, risk ranking, risk responding and risk monitoring mechanism. ... The AKH railway tunnels are constructed by Conventional Excavation Method  as shown in Figure 2 and Hydro Power Tunnels by Tunnel boring Machine (TBM)  and using mechanical excavation. ...doi:10.4236/ojsst.2021.114012 fatcat:5zgpm7mwqbd4xocliviynfbcki
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