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Innovative Geo-Information Tools for Governance

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ISBN: 9783039213375 9783039213382 Year: Pages: 186 DOI: 10.3390/books978-3-03921-338-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-12-09 11:49:15
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In current times, highly complex and urgent policy problems—e.g., climate change, rapid urbanization, equitable access to key services, land rights, and massive human resettlement—challenge citizens, NGOs, private corporations, and governments at all levels. These policy problems, often called ‘wicked’, involve multiple causal factors, anticipated and unanticipated effects, as well as high levels of disagreement among stakeholders about the nature of the problem and the appropriateness of solutions. Given the wickedness of such policy problems, interdisciplinary and longitudinal research is required, integrating and harnessing the diverse skills and knowledge of urban planners, anthropologists, geographers, geo-information scientists, economists, and others. This Special Issue promotes innovative concepts, methods, and tools, as well as the role of geo-information, to help (1) analyze alternative policy solutions, (2) facilitate stakeholder dialogue, and (3) explore possibilities for tackling wicked problems related to climate change, rapid urbanization, equitable access to key services (such as water and health), land rights, and human resettlements in high-, middle-, and low-income countries in the North and South. Such integrative approaches can deepen our understanding of how different levels of government and governance reach consensus, despite diverging beliefs and preferences. Due to the particularly complex spatiotemporal characteristics of wicked policy problems, innovative concepts, alternative methods, and new geo-information tools play a significant role.

PV System Design and Performance

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ISBN: 9783039216222 9783039216239 Year: Pages: 360 DOI: 10.3390/books978-3-03921-623-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:16
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Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance.

Keywords

floating PV generation structure --- fiber reinforced polymeric plastic (FRP) --- pultruded FRP --- sheet molding compound FRP --- structural design --- mooring system --- photovoltaic plants --- software development --- performance analysis --- loss analysis --- graphical malfunction detection --- fuzzy logic controller --- maximum power point tracking (MPPT) --- dc-dc converter --- photovoltaic system --- photovoltaic system --- modeling --- stability analysis --- grid-connected --- photovoltaics --- modules --- shade resilience --- buck converter --- module architecture --- PV array --- FCM algorithm --- cluster analysis --- fault diagnosis --- membership algorithm --- solar energy --- photovoltaic module performance --- organic soiling --- Scanning Electron Microscopy (SEM) --- floating PV systems (FPV) --- floating PV module (FPVM) --- ANOVA --- Bartlett’s test --- Hartigan’s dip test --- Jarque-Bera’s test --- Kruskal-Wallis’ test --- Mood’s Median test --- residential buildings --- Tukey’s test --- urban context --- solar cells --- AC parameters --- underdamped oscillation --- impedance spectroscopy --- partial shading --- photo-generated current --- photovoltaic performance --- maximum power point --- image processing --- photovoltaic (PV) systems monitoring --- malfunction detection --- data analysis --- PV systems --- cluster analysis --- failure detection --- ageing and degradation of PV-modules --- performance analysis --- UV-fluorescence imaging --- photovoltaic modeling --- parameter estimation --- optimization problem --- metaheuristic --- opposition-based learning --- quasi-opposition based learning --- improved cuckoo search algorithm --- PV energy performance --- PV thermal performance --- thermal interaction --- conventional roof membrane --- vegetated/green roof --- Renewable Energy --- PV systems --- forecast --- energy --- simulation --- silicon --- photovoltaics --- modules --- electroluminescence --- defects --- cracks --- performance ratio --- annual yield --- GIS --- PV system --- spatial analyses --- performance ratio --- GIS --- PV module --- system --- population density --- urban compactness --- solar farm --- photovoltaics --- reactive power support --- STATCOM --- technical costs --- photovoltaic systems --- reliability --- real data --- energy yield --- fault tree analysis --- failure mode and effect analysis --- availability --- failure rates

New Industry 4.0 Advances in Industrial IoT and Visual Computing for Manufacturing Processes

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ISBN: 9783039282906 9783039282913 Year: Pages: 428 DOI: 10.3390/books978-3-03928-291-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Industrial Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Modern factories are experiencing rapid digital transformation supported by emerging technologies, such as the Industrial Internet of things (IIOT), industrial big data and cloud technologies, deep learning and deep analytics, AI, intelligent robotics, cyber-physical systems and digital twins, complemented by visual computing (including new forms of artificial vision with machine learning, novel HMI, simulation, and visualization). This is evident in the global trend of Industry 4.0. The impact of these technologies is clear in the context of high-performance manufacturing. Important improvements can be achieved in productivity, systems reliability, quality verification, etc. Manufacturing processes, based on advanced mechanical principles, are enhanced by big data analytics on industrial sensor data. In current machine tools and systems, complex sensors gather useful data, which is captured, stored, and processed with edge, fog, or cloud computing. These processes improve with digital monitoring, visual data analytics, AI, and computer vision to achieve a more productive and reliable smart factory. New value chains are also emerging from these technological changes. This book addresses these topics, including contributions deployed in production, as well as general aspects of Industry 4.0.

Keywords

cutting insert selection --- cutting parameter optimization --- artificial neural networks --- genetic algorithm --- connected enterprise --- smart manufacturing --- big data --- machine learning --- data reduction --- predictive analytics --- in-line dimensional inspection --- warm forming --- 3D mesh reconstruction --- optical system --- revolution workpiece --- defect detection --- polymer lithium-ion battery --- convolutional neural network --- deep learning --- blister defect --- flower pollination algorithm --- Industry 4.0 --- anomaly detection --- scheduling --- neural network --- skyline queries --- Cyber-Physical Systems (CPS) --- scalability test --- Internet of Things (IoT) --- INDUSTRY 4.0 --- economic recession --- research and development indicators --- maintenance expert --- competence --- decision support --- micro-armature --- defect detection --- convolutional neural networks --- computer vision --- capacity control --- job shop systems --- RMTs --- operator theory --- 4th industrial revolution --- industry 4.0 --- AHP --- QFD --- matching --- fibre of preserved Szechuan pickle --- contour detection --- dilated convolutions --- HED --- social network --- industry 4.0 --- industrial knowledge graph --- deep learning --- industrial big data --- intellectualization of industrial information --- digital manufacturing --- smart factory --- Industry 4.0 --- digital platforms --- automated surface inspection --- D-VGG16 --- bilinear model --- Grad-CAM --- classification --- localization --- elliptical paraboloid array --- self-calibration method --- vertex distance --- optical slope sensor --- geometric relationship --- relative angle --- fabric defect detection --- LGM --- FCM --- image smoothing --- Industry 4.0 --- marketing innovations --- innovative marketing tools --- impacts marketing innovations --- Industry 4.0 --- configure-to-order --- BIM --- construction equipment --- digital information flow --- lean assembly --- digital twins --- cyber-physical production systems --- depthwise separable convolution --- YOLOv3 --- feature pyramid --- aircraft structure crack detection --- industrial load management --- demand-side management --- demand-side response --- energy flexibility --- IT concept --- platform-based ecosystem --- control service --- smart service --- control as a service --- cloud-based control system --- automation system --- chatter --- train wheel --- smart system --- turning --- edge computing --- n/a

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