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Optimal Tank Sizing, Reliability, and Financial Feasibility Analysis of Domestic Rainwater Harvesting systems for Semi-Arid Climate: A Daily Linear programming Model

SSRN

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SSRN 2022年

作者： Ruso, Mustafa Akıntuğ, Bertuğ Kentel, Elcin Sustainable Environment and Energy Systems Graduate Program Middle East Technical University Northern Cyprus Campus Kalkanli Guzelyurt Mersin Turkey Civil Engineering Program Middle East Technical University Northern Cyprus Campus Kalkanli Guzelyurt Mersin Turkey Department of Civil Engineering Middle East Technical University Ankara Turkey

Rainwater harvesting (RWH) has proven to be an alternative water supply scheme for sustainable water management of regions with limited water resources. In this paper, a linear programming (LP) model with daily time steps, which minimizes the cost of the rooftop rainwater harvesting system (RWHS), is developed and used to calculate the optimum RWH tank size. The semi-arid island of Cyprus in the Eastern Mediterranean is selected as the case study area. The analysis is carried out at 33 sites with average annual rainfalls ranging between 292 mm and 548 mm to evaluate the effect of rainfall characteristic on the financial feasibility, reliability, resilience, vulnerability, and water savings of the RWHS. The optimum tank size obtained using the LP model for one of the sites is validated using the widely-used water balance simulation model. At 29 of the sites, RWHS investments are found to be financially feasible with a discounted payback period range between 12 and 28 years. The optimum RWH tank sizes determined to be between 2 m 3 and 6 m 3 result in up to 20% reliability with more than 50 m 3 of average annual water saving per single house. It is observed that in addition to rainfall characteristic, the water cost is another critical factor that affects the financial feasibility and water savings of a RWHS especially at regions with low rainfall. The developed LP model is also run using monthly time steps and it is demonstrated that financial feasibility and optimum tank sizes can only be assessed realistically when daily time steps are used. Finally, sensitivity analysis is carried out for the collector area and the average daily water consumption per capita. It is found that the discounted payback period of the RWHS is highly sensitive to the collector area. © 2022, The Authors. All rights reserved.

关键词： Rain

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An Analysis of Flexible Manufacturing on the Support of the Development of Smart Product-Service systems 17th

An Analysis of Flexible Manufacturing on the Support of the ...

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17th IFIP WG 5.1 International Conference on Product Lifecycle Management, PLM 2020

作者： de M. Leite, Athon F. C. S. Canciglieri, Matheus B. Szejka, Anderson L. Goh, Yee Mey Monfared, Radmehr P. de F. R. Loures, Eduardo Junior, Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná CuritibaParaná Brazil School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough Leicestershire United Kingdom

ISBN: (纸本)9783030628062

Currently, changes in the customer’s mindset and increased flexibility in manufacturing shifted competition between companies to focus on the product’s value rather than its cost. In this context, Product-Service systems (PSSs) are an alternative to traditional value propositions (i.e. pure products, pure services) by combining services with products and providing an experience to customers. In recent decades, PSSs were expanded from solely business aspects to engineering aspects and technical considerations in their scope, such as the paradigms of Technical PSS, Industrial PSS, Digitalized PSS and Cyber-Physical PSS. More recently, due to the application of Industry 4.0 concepts, there is a significant increase of "smart technologies", i.e. sensors;connectivity;mobile application, in PSSs, naming it a new paradigm on the field, known as Smart PSSs. In this context, this research aims to explore and discuss current issues related to the integration of flexible manufacturing processes and Smart PSSs through a literature review and analysis, regarding information sharing, traceability and system reconfiguration based on customer’s requirements. Found literature points to gaps in the theme related to semantic issues and design issues regarding the dynamic reconfiguration of the manufacturing process and the Smart PSS. The modern approaches to the theme, as found in literature, are still not able to cope with the semantic barriers and high volume of heterogeneous information in a holistic manner. Conclusions point that further investigation of the cited issues is required in a systematic manner, as well as the development of models that can cope with the presented issues. © 2020, IFIP International Federation for Information Processing.

关键词： Semantics

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Drivetrain simulation using variational autoencoders

arXiv

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arXiv 2025年

作者： Sharma, Pallavi Urrea-Quintero, Jorge-Humberto Bogdan, Bogdan Ciotec, Adrian-Dumitru Vasilie, Laura Wessels, Henning Skull, Matteo Porsche Engineering Etzelstraße 1 Bietigheim-Bissingen74321 Germany Graduate Program Computational Sciences in Engineering Technische Universität Braunschweig Braunschweig Germany Fraunhofer Institute for Energy Economics and Energy System Technology Joseph-Beuys-Straße 8 Kassel34117 Germany Institute of Applied Mechanics Division Data-Driven Modeling of Mechanical Systems Technische Universität Braunschweig Pockelsstraße 3 Braunschweig38106 Germany

This work proposes variational autoencoders (VAEs) to predict a vehicle’s jerk from a given torque demand, addressing the limitations of sparse real-world datasets. Specifically, we implement unconditional and conditional VAEs to generate jerk signals that integrate features from different drivetrain scenarios. The VAEs are trained on experimental data collected from two variants of a fully electric SUV, which differ in maximum torque delivery and drivetrain configuration. New meaningful jerk signals are generated within an engineering context through the interpretation of the VAE’s latent space. A performance comparison with baseline physics-based and hybrid models confirms the effectiveness of the VAEs. We show that VAEs bypass the need for exhaustive manual system parametrization while maintaining physical plausibility by conditioning data generation on specific inputs. © 2025, CC BY.

关键词： Signal encoding

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Occurrence of antibiotics, hormones and PFAs in surface water from a Nile tilapia aquaculture facility in a Brazilian hydroelectric reservoir

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Chemosphere 2024年 352卷 141444页

作者： Rodrigues, Daniel Aparecido da S. Starling, Maria Clara V.M. Barros, André Luiz C. de Santos, Mônica C. da Silva, Eloísa Stéphanie Viana, Guenther Carlos C. Ribeiro, Lara Fabian da S. Simcik, Matt F. Amorim, Camila C. GruPOA - Research Group on Environmental Applications of Advanced Oxidation Processes Department of Sanitary and Environmental Engineering Universidade Federal de Minas Gerais MG Belo Horizonte Brazil SIMOA - Intelligent Systems for Environmental Monitoring Department of Sanitary and Environmental Engineering Universidade Federal de Minas Gerais MG Belo Horizonte Brazil ProAmb - Graduate Program in Environmental Engineering Department of Environmental Engineering Universidade Federal de Ouro Preto in Memoriam MG Ouro Preto Brazil University of Minnesota School of Public Health 420 Delaware St SE MMC 807 MinneapolisMN55455 United States

This study assessed the occurrence of five antibiotics, three hormones, caffeine, and long and short-chain perfluoroalkyl and polyfluoroalkyl substances (PFASs) in surface water and feedstuff samples obtained from aquaculture cages in Três Marias reservoir in Brazil. This is the first work to evaluate the presence of PFAS in surface water used for aquaculture in Brazil. Solid-phase extraction and low temperature partitioning extraction followed by liquid chromatography coupled to mass spectrometry (LC-MS) were performed to process and analyze surface water samples and feedstuff, respectively. The ecotoxicological risk quotient was calculated for target compounds detected in water. Ciprofloxacin and caffeine were detected in all surface water samples. Pharmaceutical drugs ranged from 0.7 ng L−1 (trimethoprim) to 389.2 ng L −1 (β-estradiol). Estrone (10.24 ng g−1) and β-estradiol (66.20 ng g−1) were also found in feedstuff. Four PFASs (PFOA, PFDoA, PFTeDA, and PFBS) were detected (9.40–15.2 μg L−1) at levels higher than reported in studies conducted worldwide. Ecotoxicological risk assessment indicated high risks for caffeine and PFOA, PFDoA, and PFTeDA with RQ values from 10 to 103. These findings reveal risks to biodiversity, ecosystem integrity and human health considering possible intake of these contaminants by fish consumption due to potential bioaccumulation of these substances. Hence, it is critical to conduct more studies in this direction in Brazil and other low and middle-low-income countries. © 2024

关键词： Water quality

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Preprocessing Techniques for Enhancing Vision-Based Detection System for Tire Sidewall Extraction

Preprocessing Techniques for Enhancing Vision-Based Detectio...

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International Seminar on Research of Information Technology and Intelligent systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US Department of Transportation Cameras Tires Internet Data mining

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SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

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Genomics, Proteomics & Bioinformatics 2022年第5期20卷 912-927页

作者： Alexandra J.Lee Dallas L.Mould Jake Crawford Dongbo Hu Rani K.Powers Georgia Doing James C.Costello Deborah A.Hogan Casey S.Greene Genomics and Computational Biology Graduate Program University of PennsylvaniaPhiladelphiaPA 19104USA Department of Microbiology and Immunology Geisel School of Medicine at DartmouthHanoverNH 03755USA Department of Systems Pharmacology and Translational Therapeutics University of PennsylvaniaPhiladelphiaPA 19104USA Wyss Institute for Biologically Inspired Engineering Harvard UniversityBostonMA 02115USA Department of Pharmacology University of Colorado School of MedicineDenverCO 80045USA Center for Health AI University of Colorado School of MedicineDenverCO 80045USA Department of Biochemistry and Molecular Genetics University of Colorado School of MedicineDenverCO 80045USA

Genome-wide transcriptome profiling identifies genes that are prone to differential expression(DE)across contexts,as well as genes with changes specific to the experimental *** genes that are specifically changed in a context of interest from common differentially expressed genes(DEGs)allows more efficient prediction of which genes are specific to a given biological process under ***,common DEGs or pathways can only be identified through the laborious manual curation of experiments,an inordinately time-consuming *** we pioneer an approach,Specific cOntext Pattern Highlighting In Expression data(SOPHIE),for distinguishing between common and specific transcriptional patterns using a generative neural network to create a background set of experiments from which a null distribution of gene and pathway changes can be *** apply SOPHIE to diverse datasets including those from human,human cancer,and bacterial pathogen Pseudomonas *** identifies common DEGs in concordance with previously described,manually and systematically determined common *** molecular validation indicates that SOPHIE detects highly specific but low-magnitude biologically relevant transcriptional ***’s measure of specificity can complement log2 fold change values generated from traditional DE *** example,by filtering the set of DEGs,one can identify genes that are specifically relevant to the experimental condition of ***,these results can inform future research *** scripts used in these analyses are available at https://***/greenelab/*** can access https://***/greenelab/sophie to run SOPHIE on their own data.

关键词： Neural network Transcriptomics Software Differential expression analysis Machine learning

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Modeling Supports the Implementation of Urban Greening as a Response to the Challenges of Sustainable Spatial Planning

SSRN

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SSRN 2024年

作者： Kim, Eun Sub Lee, Dong Kun Hyun, Jung Hee Kim, Na Yeon Heo, Su Jeong Kim, Da Sle Interdisciplinary Program in Landscape Architecture Seoul National University Seoul08826 Korea Republic of Integrated Major in Smart City Global Convergence Program Seoul National University Seoul08826 Korea Republic of Specialized Graduate School of Intelligent Eco-Science 4 Dept. of Landscape Architecture Seoul National University Seoul08826 Korea Republic of Systemic Risk and Resilience Research Group Advancing Systems Analysis International Institute for Applied Systems Analysis Austria Department of Landscape Architecture and Rural System Engineering Seoul National University Seoul08826 Korea Republic of

Urban greening is a critical strategy for sustainable urban development, climate change mitigation, and biodiversity conservation. However, the effectiveness of urban greening varies depending on the specific goals (e.g., enhancing biodiversity, reducing urban heat, or both) and their spatial implementation. To address the spatial variability in the effectiveness of greening, we propose a spatial decision support model based on the non-dominated sorting genetic algorithm-II (NSGA-II). This model aims to optimize urban greening locations to maximize biomass density, mitigate urban heat stress, and simultaneously improve landscape connectivity. Applied to Suwon City, South Korea, the model's effectiveness was evaluated against a Business-As-Usual (BAU) scenario across four scenarios: Connectivity-based, Biomass density-based, Heat stress-based, and an Integrated-based scenario. The integrated approach, balancing trade-offs between ecological benefits and implementation costs, outperformed the BAU scenario by 8.84%. This outcome indicated of significant improvements in biomass density and landscape connectivity, despite highlighting a weaker correlation with heat stress mitigation. Our findings underscore the necessity of an integrated planning approach to urban greening, as it can contribute toward the attainment of urban development goals. Additionally, by proposing an app-based model for policymakers to utilize, our outputs should enable the reconciliation of multiple environmental objectives in urban landscapes. © 2024, The Authors. All rights reserved.

关键词： Climate change

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Near-Optimal Pilot Assignment in Cell-Free Massive MIMO

arXiv

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arXiv 2023年

作者： Guedes, Raphael M. de Rezende, José F. Barbosa, Valmir C. Informatics and Computer Science Department State University of Rio de Janeiro RJ Rio de Janeiro20550-900 Brazil Systems Engineering and Computer Science Program Federal University of Rio de Janeiro RJ Rio de Janeiro21941-914 Brazil Graduate Program in Computational Sciences State University of Rio de Janeiro RJ Rio de Janeiro20550-900 Brazil

Cell-free massive MIMO systems are currently being considered as potential enablers of future (6G) technologies for wireless communications. By combining distributed processing and massive MIMO, they are expected to deliver improved user coverage and efficiency. A possible source of performance degradation in such systems is pilot contamination, which contributes to causing interference during uplink training and affects channel estimation negatively. Contamination occurs when the same pilot sequence is assigned to more than one user. This is in general inevitable, as the number of mutually orthogonal pilot sequences corresponds to only a fraction of the coherence interval. We introduce a new algorithm for pilot assignment and analyze its performance both from a theoretical perspective and in computational experiments. We show that it has an approximation ratio close to 1 for a plausibly large number of orthogonal pilot sequences, as well as low computational complexity under massive parallelism. We also show that, on average, it outperforms other methods in terms of per-user SINR and throughput on the uplink. Copyright © 2023, The Authors. All rights reserved.

关键词： Channel estimation

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A Consideration on Neutral-Point Potential Balancing of 3-Level PWM Rectifier Applying Space Vector Modulation of Matrix Converter

A Consideration on Neutral-Point Potential Balancing of 3-Le...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Junnosuke Haruna Masato Wakabayashi Masaki Yoshihara Hirohito Funato Information Electronics and Optics Course School of Engineering Utsunomiya University Utsunomiya Japan Division of Engineering and Agriculture Graduate Program in Information Electrical & Electronic Systems Engineering Graduate School of Regional Development and Creativity Utsunomiya University Utsunomiya Japan

This paper proposes voltage balance control for 3-level PWM rectifier using a space vector modulation of a matrix converter. When space vector modulation of matrix converter is applied to 3-level PWM rectifier, it can keep balanced DC-link voltage of 3-level PWM rectifier. However, when the DC-link voltage unbalance occurs, SVM of matrix converter cannot balance the DC-link voltage. In this paper, phase angle of input current reference is generated by PI controller in order to keep the phase angle of DC-link voltage to $\pi /6$ rad. The proposed control can adapt not only voltage unbalance, but also a load unbalance. The validity of the proposed control is demonstrated by the simulation results.

关键词： Support vector machines Electric potential PI control Simulation Capacitors Rectifiers Pulse width modulation

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Portfolio Selection and Comparative Portfolio Analysis of Transportation Services, Hotel and Leisure, and Education Subsectors Against Service Sector in the Philippine Market Using Mean-variance Model

Portfolio Selection and Comparative Portfolio Analysis of Tr...

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IEEE International Conference on Industrial engineering and engineering Management

作者： E. L. Cruz M. N. Young T. N. Chuahay Y. Prasetyo S. Persada R. Nadilfatin M. Contreras School of Industrial Engineering and Engineering Management Mapua University Manila Philippines School of Graduate Studies Mapua University Manila Philippines Department of Finance Chung Yuan Christian University Taoyuan City Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan City Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan City Taiwan Entrepreneurship Business Creation Business School Binus University West Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350386097

ISBN: (纸本)9798350386103

This paper presents a framework for portfolio selection in the transportation services, hotel and leisure, and education subsectors of the Philippine market using the mean-variance model. Using the service sector and the broader market as benchmarks, this study spans 7,670 test days from January 1, 1993, to December 31, 2022, identifying optimal risk-return factors (RRFs) of $\mathbf{0. 4}$ for transportation, 0.2 for hotel and leisure, and 0.3 for education. Furthermore, the higher percentage allocations the investors are recommended to invest in are International Container Terminal Services, Inc., Waterfront Philippines, Incorporated, and Far Eastern University, Incorporated. Paired t-test results, with p-values below 0.01 and 0.05, indicate these subsectors can outperform the service sector. The study also conducted a comparative analysis with 30-year historical data to crisis periods like the Global Financial Crisis (GFC) and the COVID-19 pandemic, exhibiting distinct performance trends and emphasizing the need for tailored strategies during economic disruptions. The findings of this research may provide an alternative portfolio selection model for investors seeking to optimize their investment portfolios.

关键词： COVID-19 Analytical models Pandemics Education Transportation Stability analysis Resource management Stock markets Portfolios Resilience

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