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  • 1
    Online Resource
    Online Resource
    Water-resisting Property and Key Technologies of Grouting Reconstruction of the Upper Ordovician Limestone in North China’s Coalfields (2020)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details Availability
    Keywords: Geology. ; Geotechnical engineering. ; Hydrogeology.
    Description / Table of Contents: Introduction -- Paleosedimentary Environments And Karst Characteristics Of Ordovician Limestone In North China Coalfields -- Water-Bearing And Water-Resisting Properties Of Top Of Ordovician Limestone In North China Coalfields -- Utilizability Of Weathered And Filled Zone Of Top Of Ordovician Limestone In North China Coalfields -- Criterion For Utilization And Grouting Reconstruction Of Top Of Ordovician Limestone -- Technical System Of Grouting Reconstruction Of Top Of Ordovician Limestone -- Case Study Of Utilization And Grouting Reconstruction Of Top Of Ordovician Limestone -- Conclusions And Innovation Points.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource(XVI, 183 p. 98 illus., 83 illus. in color.)
    Edition: 1st ed. 2020.
    ISBN: 9783030401160
    Series Statement: Springer Theses, Recognizing Outstanding Ph.D. Research
    URL: https://doi.org/10.1007/978-3-030-40116-0
    DOI: 10.1007/978-3-030-40116-0
    Language: English
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  • 2
    Online Resource
    Online Resource
    Methods and Techniques for Preventing and Mitigating Water Hazards in Mines (2021)
    Cham : Springer International Publishing | Cham : Imprint: Springer
    Details Availability
    Keywords: Hydrogeology. ; Water-supply. ; Geotechnical engineering. ; Water pollution.
    Description / Table of Contents: Water Hazards in Coal Mines and Their Classifications -- Mechanisms of Water Hazards in Coal Mines -- Techniques of Identifying Water Hazards in Coal Mines -- Evaluations and Prediction of Water Hazards in Coal Mines -- Monitoring and Early-Warning Techniques for Water Hazards in Coal Mines -- Proactive Mitigation of Water Inrush Risk on Regional Scales -- Emergency Responses to Water Hazards in Coal Mines -- Integration of Mine Water into Resource Planning -- Regulations on Water Hazard Control and Management -- Case Studies on Prevention and Mitigation of Water Hazards in Coal Mines.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource(XIV, 510 p. 223 illus., 121 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030670597
    Series Statement: Professional Practice in Earth Sciences
    URL: https://doi.org/10.1007/978-3-030-67059-7
    DOI: 10.1007/978-3-030-67059-7
    Language: English
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  • 3
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    Sensors, Vol. 14, Pages 18328-18336: Two-Photon Luminescence and Second Harmonic Generation from Gold Micro-Plates (2014)
    MDPI Publishing
    In: Sensors
    Details
    Publication Date: 2014-09-30
    Description: Micron-sized gold plates were prepared by reducing chloroauric acid with lemongrass extract. Their two-photon luminescence (TPL) and second harmonic generation (SHG) were investigated. The results show that the TPL and SHG intensity of gold plates is dependent on the wavelength and polarization of excitation laser. The TPL intensity of gold plates decreases with the increase of the excitation wavelength except for a small peak around 820–840 nm, while SHG intensity increases with the excitation wavelength redshift. In addition, it is found that the TPL intensity of the gold plate’s edge is related with the angle between the edge orientation and the polarization direction of the excitation light. The TPL intensity increases with the angle increase from 0° to 90°.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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  • 4
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    Atmosphere, Vol. 7, Pages 45: Soot Nanoparticles Could Partake in Nucleation of Biogenic Particles in the Atmosphere: Using Fullerene as a Model Compound (2016)
    MDPI Publishing
    Details
    Publication Date: 2016-03-15
    Description: The detection of existence of fullerenes (C60 and C70) makes it necessary to explore whether soot nanoparticles can participate in new nanometer-sized particle formation and growth in the atmosphere. This study describes a theoretical investigation at multiple levels on the role of the fullerenes (as model compounds to represent nanoparticles of soot) in the formation of complexes with a common atmospheric nucleating precursor (sulfuric acid, SA) and a biogenic organic acid (cis-pinonic acid, CPA), as well as initial growth of nano-sized biogenic aerosols. Quantum chemical density-functional theory calculations identify the formation of stable fullerene-[CPA-SA] ternary complexes, which likely leads to an enhanced nucleation of SA with CPA. Relevant thermochemical parameters including the changes of Gibbs free energy, enthalpy, and entropy for the complex formation also support that fullerene-[CPA-SA] is most likely to be a newly formed nuclei. The sizes of the critical nucleus of the fullerene-[CPA-SA-H2O] systems were found to be approximately 1.3 nm by large-scale molecular dynamics simulations. This study may provide a new insight into the mechanisms underlying the formation of new particle in the atmospheric environment.
    Electronic ISSN: 2073-4433
    Topics: Geosciences
    Published by MDPI Publishing
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  • 5
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    Sensors, Vol. 16, Pages 1666: Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking (2016)
    MDPI Publishing
    In: Sensors
    Details
    Publication Date: 2016-10-12
    Description: In this paper, an adaptive collaborative Gaussian Mixture Probability Hypothesis Density (ACo-GMPHD) filter is proposed for multi-target tracking with automatic track extraction. Based on the evolutionary difference between the persistent targets and the birth targets, the measurements are adaptively partitioned into two parts, persistent and birth measurement sets, for updating the persistent and birth target Probability Hypothesis Density, respectively. Furthermore, the collaboration mechanism of multiple probability hypothesis density (PHDs) is established, where tracks can be automatically extracted. Simulation results reveal that the proposed filter yields considerable computational savings in processing requirements and significant improvement in tracking accuracy.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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  • 6
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    Remote Sensing, Vol. 8, Pages 415: Three-Dimensional Reconstruction of Building Roofs from Airborne LiDAR Data Based on a Layer Connection and Smoothness Strategy (2016)
    MDPI Publishing
    Details
    Publication Date: 2016-05-17
    Description: A new approach for three-dimensional (3-D) reconstruction of building roofs from airborne light detection and ranging (LiDAR) data is proposed, and it includes four steps. Building roof points are first extracted from LiDAR data by using the reversed iterative mathematic morphological (RIMM) algorithm and the density-based method. The corresponding relations between points and rooftop patches are then established through a smoothness strategy involving “seed point selection, patch growth, and patch smoothing.” Layer-connection points are then generated to represent a layer in the horizontal direction and to connect different layers in the vertical direction. Finally, by connecting neighboring layer-connection points, building models are constructed with the second level of detailed data. The key contributions of this approach are the use of layer-connection points and the smoothness strategy for building model reconstruction. Experimental results are analyzed from several aspects, namely, the correctness and completeness, deviation analysis of the reconstructed building roofs, and the influence of elevation to 3-D roof reconstruction. In the two experimental regions used in this paper, the completeness and correctness of the reconstructed rooftop patches were about 90% and 95%, respectively. For the deviation accuracy, the average deviation distance and standard deviation in the best case were 0.05 m and 0.18 m, respectively; and those in the worst case were 0.12 m and 0.25 m. The experimental results demonstrated promising correctness, completeness, and deviation accuracy with satisfactory 3-D building roof models.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 7
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    Sustainability, Vol. 9, Pages 1853: Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China (2017)
    MDPI Publishing
    Details
    Publication Date: 2017-10-17
    Description: Sustainability, Vol. 9, Pages 1853: Analysis of the Driving Forces in Vegetation Variation in the Grain for Green Program Region, China Sustainability doi: 10.3390/su9101853 Authors: Wang Hao Liu Guohua Li Zongshan Ye Xin Fu Bojie Lü Yihe The Chinese government introduced six ecological restoration programs to improve its natural environment. Although these programs have proven successful in improving local environmental conditions, some studies have questioned their effectiveness when regions suffer from extreme weather conditions. Using the Grain for Green Program (GGP) region as a study area, we estimated vegetation activities in the GGP region from 2000 to 2010 to clarify the trends in vegetation growth and their driving forces. The results showed that: (1) vegetation activities improved in the GGP region during 2000-2010, with 58.94% of the area showing an increased trend in the NDVI (normalized difference vegetation index); (2) 26.33% of the increased vegetation was caused by human interference, and 11.61% by climate variation, human activity was the dominant cause, and resulted in 54.68% of the degradation compared to 4.74% from climate change; and, (3) the contribution of different land use types to the NDVI interannual variations showed that high contribution regions were focused in the arid and semiarid areas, where the vegetation growth is associated with variations in recipitation and temperature. However, conversions between farmland and grassland or forest had a significant effect on the change in the NDVI trend. Therefore, although climate conditions can affect vegetation growth, human activities are more important in vegetation changes, and appropriate human activities would contribute to its continual improvement. Hence, we recommend establishing an assessment and scientific management mechanism for eco-risks in the design and management of ecosystem restoration programs.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 8
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    Sensors, Vol. 18, Pages 2591: A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks (2018)
    MDPI Publishing
    In: Sensors
    Details
    Publication Date: 2018-08-08
    Description: Sensors, Vol. 18, Pages 2591: A Framework of Joint Energy Provisioning and Manufacturing Scheduling in Smart Industrial Wireless Rechargeable Sensor Networks Sensors doi: 10.3390/s18082591 Authors: Yixiong Feng Yong Wang Hao Zheng Shanghua Mi Jianrong Tan Energy provisioning is always a crucial problem restricting the further development and application of smart industrial wireless sensor networks in smart factories. In this paper, we present that it is necessary to develop smart industrial wireless rechargeable sensor networks (SIWRSNs) in a smart factory environment. Based on the complexity and time-effectiveness of factory operations, we establish a joint optimization framework named J-EPMS to effectively coordinate the charging strategies of wireless sensors and the scheduling plans of machines running. Then, we propose a novel double chains quantum genetic algorithm with Taboo search (DCQGA-TS) for J-EPMS to obtain a suboptimal solution. The simulation results demonstrate that the DCQGA-TS algorithm can maximally ensure the continuous manufacturing and markedly shorten the total completion time of all production tasks.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI Publishing
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  • 9
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    Sustainability, Vol. 10, Pages 2702: Using Traditional Chinese Medicine Ideas as a Mechanism to Engage People in Health Awareness (2018)
    MDPI Publishing
    Details
    Publication Date: 2018-08-02
    Description: Sustainability, Vol. 10, Pages 2702: Using Traditional Chinese Medicine Ideas as a Mechanism to Engage People in Health Awareness Sustainability doi: 10.3390/su10082702 Authors: Donglei Song Yu Xia Rusi Wang Hao Xu Improving health awareness is essential to health and healthcare sustainability. How to arouse attention to the health of people and encourage them to attend to healthcare progress so that we can reduce the costs of promoting healthcare by achieving more with less effort remains to be explored. In this paper, we provide a simplified health management app, called iTongue, with a basis in traditional Chinese medicine. People use iTongue to take pictures of their tongues to have a general idea of their health. We realize automated tongue image diagnosis using machine learning techniques to establish the relationship between the tongue image features and the cold or hot ZHENG (traditional Chinese medicine syndrome) in traditional Chinese medicine by learning through examples and assisting people to engage in health management. The results show that health management interaction based on traditional Chinese medicine has a positive influence on improving people’s attention to their health, encouraging them to participate in health management activities and develop the habit of caring about their health over the long term. In the future, we could consider using this kind of traditional Chinese medicine idea as a means of publicity to engage people in healthcare and to assist healthcare sustainability development.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 10
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    Sustainability, Vol. 10, Pages 800: Splitting and Combining as a Gamification Method in Engaging Structured Knowledge Learning (2018)
    MDPI Publishing
    Details
    Publication Date: 2018-03-14
    Description: Sustainability, Vol. 10, Pages 800: Splitting and Combining as a Gamification Method in Engaging Structured Knowledge Learning Sustainability doi: 10.3390/su10030800 Authors: Donglei Song Daqian Shi Rusi Wang Hao Xu The understanding of the structure of knowledge is an essential step of education. Although teachers offer the information foundation and relationship among knowledge points, there are still few methods to encourage students to explore the structure of knowledge by themselves outside of classes. This paper explores the gamification method and the knowledge structure of computer science. We assess the gamification method of “splitting and combining” (SC) to encourage students to finish the process of learning structured knowledge in the university. The results show that this method works well in promoting learning enjoyment and that splitting demonstrates better performance than combining. We can consider the SC method when recommending a gamification method to engage students in structural learning assistance in future smart university education.
    Electronic ISSN: 2071-1050
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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