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  • 1
    Online Resource
    Online Resource
    Dynamic and Precise Engineering Surveying (2023)
    Singapore :Springer Nature Singapore :
    Details
    Keywords: Geographic information systems. ; Surveying. ; Cartography. ; Geotechnical engineering. ; Geographical Information System. ; Surveying. ; Cartography. ; Geotechnical Engineering and Applied Earth Sciences.
    Description / Table of Contents: Introduction -- Structural state surveying for transportation infrastructure -- Dynamic surveying in autonomous driving -- Indoor and underground space measurement -- UAV 3D measurement -- Coastal zone survey -- Outlook. .
    Abstract: Driven by the increasingly expanding needs of infrastructure construction, operation and maintenance, as well as the rapid developments of intelligent sensing and information technology, precise engineering surveying has been transformed from static, discrete, and manual into dynamic, continuous, and intelligent ways. This transformation leads to an advanced multidisciplinary field, dynamic and precise engineering surveying, on which the author has worked for over two decades. This book systematically summarizes the fundamentals, methods, and applications in dynamic and precise engineering surveying. The contents mainly include two parts: the first part introduces principles and methods of dynamic and precise engineering surveying; the second part presents representative applications in which innovative methods and advanced equipment are applied in the construction, operation and maintenance of mega and complex infrastructures. Readers engaged in surveying and mapping, civil engineering, water conservancy engineering, railway engineering, electronic information, and computer science, including undergraduates, graduates, researchers and engineers, will find it an informative reference.
    Type of Medium: Online Resource
    Pages: XXVIII, 498 p. 394 illus., 352 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819959426
    URL: https://doi.org/10.1007/978-981-99-5942-6
    DOI: 10.1007/978-981-99-5942-6
    DDC: 910.285
    Language: English
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  • 2
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    Greater flood risks in response to slowdown of tropical cyclones over the coast of China (2020)
    National Academy of Sciences
    Details
    Publication Date: 2020-06-15
    Description: The total amount of rainfall associated with tropical cyclones (TCs) over a given region is proportional to rainfall intensity and the inverse of TC translation speed. Although the contributions of increase in rainfall intensity to larger total rainfall amounts have been extensively examined, observational evidence on impacts of the recently reported but still debated long-term slowdown of TCs on local total rainfall amounts is limited. Here, we find that both observations and the multimodel ensemble of Global Climate Model simulations show a significant slowdown of TCs (11% in observations and 10% in simulations, respectively) from 1961 to 2017 over the coast of China. Our analyses of long-term observations find a significant increase in the 90th percentile of TC-induced local rainfall totals and significant inverse relationships between TC translation speeds and local rainfall totals over the study period. The study also shows that TCs with lower translation speed and higher rainfall totals occurred more frequently after 1990 in the Pearl River Delta in southern China. Our probability analysis indicates that slow-moving TCs are more likely to generate heavy rainfall of higher total amounts than fast-moving TCs. Our findings suggest that slowdown of TCs tends to elevate local rainfall totals and thus impose greater flood risks at the regional scale.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 3
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    Sustainability, Vol. 11, Pages 4513: Support or Risk? Software Project Risk Assessment Model Based on Rough Set Theory and Backpropagation Neural Network (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: Software supports continuous economic growth but has risks of uncertainty. In order to improve the risk-assessing accuracy of software project development, this paper proposes an assessment model based on the combination of backpropagation neural network (BPNN) and rough set theory (RST). First, a risk list with 35 risk factors were grouped into six risk categories via the brainstorming method and the original sample data set was constructed according to the initial risk list. Subsequently, an attribute reduction algorithm of the rough set was used to eliminate the redundancy attributes from the original sample dataset. The input factors of the software project risk assessment model could be reduced from thirty-five to twelve by the attribute reduction. Finally, the refined sample data subset was used to train the BPNN and the test sample data subset was used to verify the trained BPNN. The test results showed that the proposed joint model could achieve a better assessment than the model based only on the BPNN.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI
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  • 4
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    Atmosphere, Vol. 10, Pages 140: Changes in Means and Extreme Events of Sea Surface Temperature in the East China Seas Based on Satellite Data from 1982 to 2017 (2019)
    MDPI
    Details
    Publication Date: 2019
    Description: Marginal seas are fundamental to humans for their importance in mariculture resources and commerce. Based on the NOAA 0.25 degree daily Optimum Interpolation (OI) sea surface temperature (SST) data set, spatiotemporal changes in mean and extreme SST in the East China Seas (ECSs) were examined for from 1982 to 2017. As a regional average, the annual mean SST has notably increased at a rate of 0.21 ± 0.08 °C per decade. The warming SST during 1982–2017 is probably related to the influence from a recent strengthening and westward extension of the WPSH. There are also notable warming trends in annual minimum and maximum SST. Spatially, the rapid warming of annual mean SSTs are located in the vicinity of the Yangtze Estuary, exceeding 0.2 °C per decade and part of the ECS-Kuroshio. This pattern may be largely affected by the spatial changes of minimum SST. Rapid warming of maximum SST can be found across the region, from the northern East China Sea (ECS) to the Bohai Sea. Since 1982, extreme hot days (EHDs) have undergone an obvious increasing trend, at a rate of 15.2 days per decade. Conversely, extreme cold days (ECDs) have been decreasing. Notably, the largest increase of EHDs appears in the western ECS and the Bohai Sea, which both have rich marine ecosystems. The trend of EHDs has a significant relationship to mean SST, suggesting that there will be a further increase in EHDs under continued warming in the ECSs. These findings emphasize the importance and urgency of strategies which should be planned for the adaptation and mitigation of specific types of extreme hot events in this region.
    Electronic ISSN: 2073-4433
    Topics: Geosciences
    Published by MDPI
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  • 5
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    Entropy, Vol. 21, Pages 709: A Peak Traffic Congestion Prediction Method Based on Bus Driving Time (2019)
    MDPI
    In: Entropy
    Details
    Publication Date: 2019
    Description: Road traffic congestion has a large impact on travel. The accurate prediction of traffic congestion has become a hot topic in intelligent transportation systems (ITS). Recently, a variety of traffic congestion prediction methods have been proposed. However, most approaches focus on floating car data, and the prediction accuracy is often unstable due to large fluctuations in floating speed. Targeting these challenges, we propose a method of traffic congestion prediction based on bus driving time (TCP-DT) using long short-term memory (LSTM) technology. Firstly, we collected a total of 66,228 bus driving records from 50 buses for 66 working days in Guangzhou, China. Secondly, the actual and standard bus driving times were calculated by processing the buses’ GPS trajectories and bus station data. Congestion time is defined as the interval between actual and standard driving time. Thirdly, congestion time prediction based on LSTM (T-LSTM) was adopted to predict future bus congestion times. Finally, the congestion index and classification (CI-C) model was used to calculate the congestion indices and classify the level of congestion into five categories according to three classification methods. Our experimental results show that the T-LSTM model can effectively predict the congestion time of six road sections at different time periods, and the average mean absolute percentage error ( M A P E ¯ ) and root mean square error ( R M S E ¯ ) of prediction are 11.25% and 14.91 in the morning peak, and 12.3% and 14.57 in the evening peak, respectively. The TCP-DT method can effectively predict traffic congestion status and provide a driving route with the least congestion time for vehicles.
    Electronic ISSN: 1099-4300
    Topics: Chemistry and Pharmacology , Physics
    Published by MDPI
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  • 6
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    A robust and rapid algorithm for generating and transmitting multi-resolution three-dimensional models (2006)
    Springer
    Details
    Publication Date: 2006-04-01
    Print ISSN: 1001-6538
    Electronic ISSN: 1861-9541
    Topics: Natural Sciences in General
    Published by Springer
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  • 7
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    Chronological classification of ancient paintings using appearance and shape features (2014)
    Elsevier
    Details
    Publication Date: 2014-11-01
    Print ISSN: 0167-8655
    Electronic ISSN: 1872-7344
    Topics: Computer Science
    Published by Elsevier
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  • 8
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    Efficacy and safety of muscarinic antagonists as add-on therapy for male lower urinary tract symptoms (2014)
    Springer Nature
    Details
    Publication Date: 2014-02-05
    Description: Alpha-adrenoceptor antagonists (alpha-blockers) are widely prescribed to treat lower urinary tract symptoms (LUTS) in men but fail to ameliorate LUTS sufficiently, especially the storage symptoms related to frequency, urgency and nocturia. We performed a meta-analysis of randomised controlled trials (RCTs) comparing an alpha-blocker plus muscarinic antagonist with an alpha-blocker alone in male LUTS patients who were treated with alpha-blocker prior to randomisation. The review contained six randomised controlled trials (RCTs) that included a total of 2,208 male patients who were randomised to receive alpha-blocker plus muscarinic antagonist or alpha-blocker alone. The add-on group experienced significantly greater improvement in both total IPSS (International Prostate Symptom Score) and storage IPSS. Adverse events (AEs) were commonly experienced by both groups (41.6 vs. 33.3%) though they were not severe. Our meta-analysis indicated that muscarinic antagonists as add-on therapy alleviate LUTS, especially storage symptoms. The add-on therapy demonstrated safety and tolerability comparable with alpha-blocker monotherapy in male with LUTS. Scientific Reports 4 doi: 10.1038/srep03948
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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  • 9
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    Interfacial Chemistry Regulation via a Skin-Grafting Strategy Enables High-Performance Lithium-Metal Batteries (2017)
    American Chemical Society (ACS)
    Details
    Publication Date: 2017-10-12
    Description: Journal of the American Chemical Society DOI: 10.1021/jacs.7b06437
    Print ISSN: 0002-7863
    Electronic ISSN: 1520-5126
    Topics: Chemistry and Pharmacology
    Published by American Chemical Society (ACS)
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  • 10
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    Phosphodiesterase type 5 inhibitors for the treatment of post-nerve sparing radical prostatectomy erectile dysfunction in men (2014)
    Springer Nature
    Details
    Publication Date: 2014-07-24
    Description: Prostate cancer (PCa) is the most common solid neoplasm diagnosed in developed countries. Nerve-sparing radical prostatectomy (NS-RP) has been widely accepted as the best choice treatment for localised PCa. However, erectile dysfunction (ED) and urinary incontinence are commonly observed after NS-RP. Using meta-analysis, we examined if phosphodiesterase type 5 inhibitors (PDE5-Is) could improve the symptoms of ED in patients undergoing NS-RP. This review contained seven randomised placebo-controlled trials with a total of 2,655 male patients. Patients in PDE5-Is group showed significant improvement in the International Index of Erectile Function-Erectile Function domain score (IIEF-EF), Global Assessment Questionnaire (GAQ), Sexual Encounter Profile question 2 (SEP-2) and SEP-3. Although the incidence of treatment-emergent adverse events (TEAEs) were high in both groups (56.44% vs. 40.63%), the safety profile were acceptable, with low incidence of discontinuation rate due to adverse events. Therefore, PDE5-Is are recommended for the treatment of post-NS-RP ED. Patients should be informed of possible adverse events. Scientific Reports 4 doi: 10.1038/srep05801
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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