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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Samuel-Soma M. Ajibade Kehinde Ehineni Angela Lee Siew Hoong Muhammed Basheer Jasser Oluwadare Joshua Oyebode Department of Data Science and Artificial Intelligence School of Engineering and Technology Sunway University Selangor Malaysia Research Centre for Nanomaterials and Energy Technology (RCNMET) Sunway University Selangor Malaysia Industrial Business Unit Littelfuse The Galleria Saskatoon Canada Department of Computing and Information Systems School of Engineering and Technology Sunway University Selangor Malaysia Civil and Environmental Engineering Department Afe Babalola University Ado Ekiti Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

The escalating dependence on artificial intelligence (AI) in energy and electrical power dependability systems has garnered significant interest in both academic and industrial circles. This study provides a bibliometric examination of artificial intelligence (AI) applications in the field of electrical dependability, covering the time frame from 2002 to 2023. The main aim of this study is to examine the patterns of publication, notable authors, institutions, and funding organizations that contribute to research in artificial intelligence for electrical dependability. A further objective of the endeavor is to chart the co-authorship networks, keyword frequencies, and citation trends in the field. Extraction of data from the Scopus database was carried out using an extensive search approach, and subsequently, network visualization was performed using VOSviewer. The findings indicated a substantial rise in research productivity throughout the last ten years, accompanied with a distinguishable expansion in joint research endeavors. China has established itself as the foremost nation in research on electrical reliability powered by artificial intelligence, with the United States and India following closely after. In addition, the National Natural Science Foundation of China was recognized as the most productive and influential funding institution. The thematic analysis revealed many prominent subjects in the sector, such as predictive maintenance, problem detection, and energy consumption optimization via artificial intelligence. The paper offers invaluable insights into the present research landscape and emphasizes developing trends, providing a clear plan for future research objectives in the fields of artificial intelligence and electrical dependability.

关键词： Productivity Technological innovation Bibliometrics Organizations Reinforcement learning Market research Robustness Visual databases Artificial intelligence Predictive maintenance

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CFPD method for consumption pattern changes identification in a district metering area with digital water meters

CFPD method for consumption pattern changes identification i...

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World environmental and Water Resources Congress 2021: Planning a Resilient Future along America's Freshwaters

作者： Fidelis Costa, Diogo Kepler Soares, Alexandre Analyst of Sanitation Systems Environmental Sanitation Company of Brasília-CAESB SAPS Federal District Brasília Brazil Dept. of Civil and Environmental Engineering Univ. of Brasília Asa Norte Federal District Brasília Brazil

ISBN: (数字)9780784483466

ISBN: (纸本)9780784483466

Residential water consumption patterns are important data, and if well compiled, they can be important to establish a leak alerting and to establish detailed water balancing of district metering areas (DMAs). Thus, smart metering (SM) technologies using digital water meters can offer new and efficient processes to water utilities. One of them relates with the possible application of discriminative flow pattern analysis with the comparison of flow pattern distributions (CFPD) method. The CFPD method is a relatively simple procedure that consists in the comparison of the measurements for two different time periods and produces results that can be used to interpret two different types of change in the water consumption pattern: (1) consistent changes which could be related to variations in the population size and weather and (2) inconsistent changes which can be related to increased leakage. This study intended to use the CFPD method to evaluate and interpret the water consumption pattern changes in a smart metering scheme that was conceived in a residential block set located in the city of Brasília, Brazil. The DMA features 420 residential units, and the objective of the SM system was to provide an hour-based monitoring system for individual user-level water consumption. To register unit's consumption, the water utility installed the infrastructure for radio transmission, data acquisition, and 424 telemetry-equipped water meters: one for each unit, three for the common areas, and one to register the total water inflow into the DMA. With the CFPD application, it was possible to understand changes in the water consumption patterns, relating then with the real losses level and other factors. © ASCE.

关键词： Flow patterns

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Deformation of the Zhangjiazhuang high-speed railway tunnel: an analysis of causal mechanisms using geomorphological surveys and D-InSAR monitoring

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Journal of Mountain Science 2021年第7期18卷 1920-1936页

作者： MENG Xing-min QI Tian-jun ZHAO Yan DIJKSTRA Tom SHI Wei LUO Yin-fei WU Yuan-zhao SU Xiao-jun ZHAO Fu-meng MA Jin-hui ZHANG Yi CHEN Guan YUE Dong-xia ZHANG Mao-sheng School of Earth Sciences Lanzhou UniversityLanzhou 730000China College of Earth and Environmental Sciences MOE Key Laboratory of Western China's Environmental SystemsLanzhou UniversityLanzhou 730000China Gansu Tech Innovation Centre for Environmental Geology and Geohazard Prevention Lanzhou 730000China School of Architecture Building and Civil EngineeringLoughborough UniversityLoughboroughLE113TUUK Key Laboratory of Qinghai Environmental Geological Survey Xining 810007China Xi’an Centre of China Geological Survey Xi’an 710054China

On 18 January 2016,the Zhangjiazhuang high-speed railway tunnel in Ledu,Qinghai Province,China,underwent serious deformation and structural damage.A crack formed at the top of the tunnel and the concrete on the crown peeled *** a result,the tunnel could not be operated for three *** order to determine the types and spatial distribution of the landslides in the region and the surface deformation characteristics associated with the tunnel deformation,we used field geological and geomorphological surveys,unmanned aerial vehicle image interpretation and differential interferometric synthetic aperture radar(D-In SAR) surface deformation *** ancient and old landslides were identified and analysed in the study *** deformation monitoring and investigation of buildings in several villages on the slope front showed that the tunnel deformation was not related to deep-seated gravitational slope ***,surface deformation monitoring revealed an active NEE–SWW fault in the area intersecting the tunnel at the location of the tunnel *** constitutes a plausible mechanism for the deformation of the *** study highlights the need for detailed engineering geomorphological investigations to better predict the occurrence of tunnel deformation events in the future.

关键词： Gaojiawan Landslide group Zhangjiazhuang tunnel Deformation Fault activity Irrigation infiltration

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Undisturbed fluid flow for improved macroscopic estimation of drag forces acting on circular cylinders 22

Undisturbed fluid flow for improved macroscopic estimation o...

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22nd Congress of the International Association for Hydro-Environment engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020

作者： Yokojima, Satoshi Uchida, Tatsuhiko Kazehaya, Yusuke Kawahara, Yoshihisa Department of Mathematical and Systems Engineering Shizuoka University Hamamatsu Japan Department of Mathematical and Systems Engineering Shizuoka University Hamamatsu Japan Department of Civil and Environmental Engineering Hiroshima University Hiroshima Japan

A drag-force model is essential in practical predictions of flows around vegetation/forest/urban canopies, since it is too prohibitive to resolve details of the canopy elements and associated fluid motions, especially in environmental and geophysical applications. The model, however, has a serious difficulty inherent in its formulation: how one can specify the representative velocity? In ideal situations such as flows past an isolated obstacle, it is the velocity of the inflow and is easily available. In flows past multiple obstacles, on the other hand, a straightforward extension of the idea behind the ideal situations abovementioned leads to introduce undisturbed flow, which is the flow that would exist at an obstacle location in the absence of that obstacle but with all other obstacles present. Clearly, this undisturbed flow is unavailable unless a new system where the target obstacle is removed in actual is introduced. Therefore, most of the past studies used information of the fluid flow disturbed by the obstacle as the representative velocity. To improve the accuracy of this approach, one requires a methodology for estimating the undisturbed flow from the disturbed flow field. Here the undisturbed flow has been evaluated directly in fully resolved computations of a two-dimensional flow past circular cylinders and the fundamental properties of the flow are discussed. © 2020 22nd Congress of the International Association for Hydro-Environment engineering and Research-Asia Pacific Division, IAHR-APD 2020: "Creating Resilience to Water-Related Challenges". All rights reserved.

关键词： Circular cylinders

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FEDERATED LEARNING WITH UNCERTAINTY-BASED CLIENT CLUSTERING FOR FLEET-WIDE FAULT DIAGNOSIS

arXiv

引用

arXiv 2023年

作者： Lu, Hao Thelen, Adam Fink, Olga Hu, Chao Laflamme, Simon Department of Electrical Engineering Iowa State University AmesIA50011 United States Intelligent Maintenance and Operations Systems EPFL Lausanne12309 Switzerland Department of Mechanical Engineering University of Connecticut StorrsCT01776 United States Department of Civil Environmental and Construction Engineering Iowa State University AmesIA50011 United States

Operators from various industries have been pushing the adoption of wireless sensing nodes for industrial monitoring, and such efforts have produced sizeable condition monitoring datasets that can be used to build diagnosis algorithms capable of warning maintenance engineers of impending failure or identifying current system health conditions. However, single operators may not have sufficiently large fleets of systems or component units to collect sufficient data to develop data-driven algorithms. Collecting a satisfactory quantity of fault patterns for safety-critical systems is particularly difficult due to the rarity of faults. One potential solution to overcome the challenge of having limited or not sufficiently representative datasets is to merge datasets from multiple operators with the same type of assets. This could provide a feasible approach to ensure datasets are large enough and representative enough. However, directly sharing data across the company’s borders yields privacy concerns. Federated learning (FL) has emerged as a promising solution to leverage datasets from multiple operators to train a decentralized asset fault diagnosis model while maintaining data confidentiality. However, there are still considerable obstacles to overcome when it comes to optimizing the federation strategy without leaking sensitive data and addressing the issue of client dataset heterogeneity. This is particularly prevalent in fault diagnosis applications due to the high diversity of operating conditions and system configurations. To address these two challenges, we propose a novel clustering-based FL algorithm where clients are clustered for federating based on dataset similarity. To quantify dataset similarity between clients without explicitly sharing data, each client sets aside a local test dataset and evaluates the other clients’ model prediction accuracy and uncertainty on this test dataset. Clients are then clustered for FL based on relative prediction accuracy an

关键词： Failure analysis

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Study of Matrix Effects in Laser-Induced Breakdown Spectroscopy by Different Sample Preparation

Study of Matrix Effects in Laser-Induced Breakdown Spectrosc...

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IEEE International Conference on Plasma Science (ICOPS)

作者： Y. Huang F. Keserwan L. Droog S. Mohajan J. Achtymichuk M. Dyck A. Bais A. Hussein Electronic Systems Engineering University of Regina Regina Canada Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Department of Civil and Environmental Engineering University of Alberta Edmonton Canada Department of Renewable Resources University of Alberta Edmonton Canada

ISBN: (纸本)9781665479264

Laser-induced breakdown spectroscopy (LIBS) has become a promising technology for real-time characterization of soil properties. However, due to the inherent microscale heterogeneity of granular materials like soil, spectral emission lines can be highly variable. To investigate the effects of moisture and heterogeneity, we performed qualitative and quantitative analysis on several field moist, air-dried, and ground, air-dried soil samples with differing elemental concentrations. Principal component analysis was carried out to extract features from raw spectra. Matrix effects on Al, Ca, Fe, Mg, Na and K, were investigated. We found that even if the elemental concentration is different, samples prepared in the same way, have spectra with similar features. We were able to discriminate spectra from moist and dried, ground samples with 100% accuracy using a support vector machine, while the unground dry samples, which did not have outstanding features, were differentiated with 50% accuracy. When samples are ground, elemental prediction was improved for all elements except for Fe, indicating that microscale heterogeneity can be reduced by grinding samples. Unlike the other elements, Fe estimation was better on moist samples, which may be due to the interaction of iron minerals with soil moisture.

关键词： Support vector machines Spectroscopy Electric breakdown Soil properties Soil moisture Feature extraction Iron

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Modeling and Analysis the Impact of Wastewater Sludge Co-Digestion with Thermo-Alkaline Pretreated Wheat Straw on Biogas Production and Digestate Characteristics at Al-Jouf Region, Saudi Arabia

SSRN

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SSRN 2023年

作者： Alrowais, Raid Said, Noha Mahmoud-Aly, Mohamed Helmi, Ahmed M. Nasef, Basheer M. Mohareb, Mohamed Abdel daiem, Mahmoud M. Department of Civil Engineering College of Engineering Jouf University Sakakah72388 Saudi Arabia Environmental Engineering Department Faculty of Engineering Zagazig University Zagazig44519 Egypt Plant Physiology Division Department of Agricultural Botany Faculty of Agriculture Cairo University Giza12613 Egypt Computer Engineering Dept. Engineering and Information Technology College Buraydah Private Colleges Buraydah51418 Saudi Arabia Computer and Systems Engineering Dept. Faculty of Engineering Zagazig University Zagazig44519 Egypt Civil Engineering Department College of Engineering Shaqra University Al-Duwadmi Ar Riyadh11911 Saudi Arabia Alwatania Contracting Company Operation and Maintenance of Sewage Stations and Networks Sakakah Saudi Arabia

Anaerobic digestion is one of the best options for producing valuable end products (biogas and bio-fertilizer). In this study, the impact of co-digestion of waste activated sludge with pretreated wheat straw on biogas production and digestate characteristics was investigated. Thermo-alkaline pretreatment of straw has been conducted using NaOH, KOH, and Na2CO3 at different durations (1, 3, and 5h). A feedforward neural network (FFNN) and Logistic models, and SPSS analysis were applied on the experimental data to predict biogas and investigate the significance and the relationship among the variables. NaOH pretreatment for 5h showed the best treatment conditions;the biogas yield reached to 6.59 folds compared to without treatment, and removal ratio of total solids, total volatile solids, chemical oxygen demand, and microbial count reached 63.52 %, 74.60 %, 78.15 %, and 82.22 %, respectively. Methane content reached 67.50 %, indicating a high quality of the biogas. The thermo-alkaline pretreatment induced significant effects on biogas production and digestate characteristics that can be used as bio-fertilizers. Experimental data were successfully modeled for predicting biogas production using the applied models;R2 reached 0.9846 and 0.999 for Logistic and FFNN models, respectively. © 2023, The Authors. All rights reserved.

关键词： Biogas

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Design of Nonlinear Coupling for Efficient Synchronization in Networks of Nonlinear systems

Design of Nonlinear Coupling for Efficient Synchronization i...

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IEEE Conference on Decision and Control

作者： Erik Steur Alexey Pavlov Nathan van de Wouw Department of Mechanical Engineering Dynamics and Control Group Institute for Complex Molecular Systems (ICMS) and Eindhoven Artificial Intelligence Systems Institute (EAISI) Eindhoven University of Technology Eindhoven The Netherlands Department of Geoscience and Petroleum Nor-wegian University of Science and Technology Trondheim Norway Department of Mechanical Engineering Dynamics and Control group and Eindhoven Artificial Intelligence Systems Institute (EAISI) Eindhoven University of Technology Eindhoven The Netherlands Department of Civil Environmental and Geo-Engineering University of Minnesota Minneapolis USA

This paper proposes a design methodology of nonlinear coupling functions for guaranteed network synchronization. Compared to commonly used linear coupling, the proposed nonlinear coupling allows for a significant reduction of coupling energy cost and output noise sensitivity. This is achieved by activating the coupling only where necessary. Using the novel concept of strict incremental feedback passivity with a nonlinear gain, we estimate the magnitude and state-space location of potential incremental instabilities present in the systems' intrinsic dynamics, which could drive systems apart in the absence of coupling. Then we introduce a nonlinear coupling design that provides a gain only in the part of the coupled systems' state-space where the estimated incremental instabilities need to be suppressed. We provide constructive methods to design the nonlinear couplings for guaranteed syn-chronization over any connected, undirected, weighted network. By means of a numerical example, we demonstrate that our nonlinear coupling design, compared to linear couplings, results in significant performance improvements in terms of noise sensitivity and required coupling energy.

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Infrastructure and city ontologies

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Proceedings of the Institution of civil Engineers: Smart Infrastructure and Construction 2022年第2期176卷 43-52页

作者： Varga, Liz McMillan, Lauren Hallett, Stephen Russell, Tom Smith, Luke Truckell, Ian Postnikov, Andrey Rodger, Sunil Vizcaino, Noel Perkins, Bethan Matthews, Brian Lomax, Nik Department of Civil Environmental and Geomatic Engineering Infrastructure Systems Institute University College London London United Kingdom School of Water Energy and Environment Cranfield University Cranfield United Kingdom Environmental Change Institute Oxford University Oxford United Kingdom Software Engineering Department De la Rue Team Valley Trading Estate Gateshead United Kingdom Lincoln Agri-Robotics University of Lincoln Lincoln United Kingdom Zentrum Klinische Studien Universitätsklinikum Freiburg Freiburg Germany Scientific Computing Department Science and Technology Facilities Council Uk Research and Innovation Rutherford Appleton Laboratory Harwell Campus Didcot United Kingdom School of Geography University of Leeds Leeds United Kingdom

The creation and use of ontologies has become increasingly relevant for complex systems in recent years. This is because of the growing number of use of cases that rely on real-world integration of disparate systems, the need for semantic congruence across boundaries and the expectations of users for conceptual clarity within evolving domains or systems of interest. These needs are evident in most spheres of research involving complex systems, but they are particularly apparent in infrastructure and cities where traditionally siloed and sectoral approaches have dominated, undermining the potential for integration to solve societal challenges such as net zero, resilience to climate change, equity and affordability. This paper reports on findings of a literature review on infrastructure and city ontologies and puts forward some hypotheses inferred from the literature findings. The hypotheses are discussed with reference to the literature and provide avenues for further research on (a) belief systems that underpin non-top-level ontologies and the potential for interference from them, (b) the need for a small number of top-level ontologies and translation mechanisms between them and (c) clarity on the role of standards and information systems in the adaptability and quality of data sets using ontologies. A gap is also identified in the extent that ontologies can support more complex automated coupling and data transformation when dealing with different scales. © 2023 ICE Publishing: All rights reserved.

关键词： Ontology

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Rainwater Quality in Special Economic Zone (Sez) in Poland

SSRN

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SSRN 2024年

作者： Grzegorzek, Martyna Wartalska, Katarzyna Szymczewski, Szymon Żywiec, Jakub Szpak, Dawid Kaźmierczak, Bartosz Wroclaw University of Science and Technology Faculty of Environmental Engineering Pl. Grunwaldzki 9 Wroclaw50-370 Poland Industrial Development Agency JSC Nowy Świat 6/12 Warsaw00-400 Poland Rzeszow University of Technology Faculty of Civil Environmental Engineering and Architecture Department of Water Supply and Sewerage Systems Al. Powstańców Warszawy 6 Rzeszów35-959 Poland

Among that about 97% of Earth is covered by water, only about 2.5% may state the source of potable water. Facing rainwater scarcity led to a necessity for looking for a new alternative water sources. One of the possible way to mitigate the water shortage is rainwater usage. The rainwater quality is parameter determining its further usage. Within the article scope, the rainwater analysis from Special Economic Zone (SEZ) in Lower Silesia (Poland) was presented. The research included analysis of elements like COD, BOD, TDS, TSS, pH, EC, F-, nitrate, ammonium, sulfate Cr, Cu, Cd Ca, and Ni. The samples were analysed in the certified laboratory. The measurements were made between April 2022–June 2023. The samples were taken from 5 sampling points located in the SEZ area – P1–P3 were drains into the ditch and P4–P5 were storage tanks. From analysed anions and cations Cl- (205 mg/L) and Ca2+ (69.6 mg/L) showed the highest concentration, respectively. From heavy metals Cu was the most abundant (up to 0.049 mg/L), whereas Cd and Cr were not detected at all. After comparison it has been shown that most of the parameters complied with WHO guidelines. It has been shown that the detected contaminants mainly come from industrial activity (like incineration or electronic manufacturing) also the materials coating buildings and pavements are prone to release undesired components. © 2024, The Authors. All rights reserved.

关键词： Water quality

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