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2021 International Conference on Unmanned Aircraft systems, ICUAS 2021

作者： Santos, Marcelo A. Ferramosca, Antonio Raffo, Guilherme V. Federal University of Minas Gerais Graduate Program in Electrical Engineering Belo Horizonte Brazil University of Bergamo Department of Management Information and Production Engineering Dalmine24044 Italy Federal University of Minas Gerais Department of Electronics Engineering Belo Horizonte Brazil

ISBN: (纸本)9780738131153

This work proposes a single-layer finite-horizon optimal control strategy to solve the autonomous navigation problem while accounting for energy efficiency and providing obstacle avoidance feature in cluttered environments with unknown obstacles. Considering the rate capacity effect of electric batteries, the nonlinear state-of-charge behavior is described and included in the optimal control problem to achieve energy-awareness. Besides, artificial potential fields are considered to obtain obstacle avoidance capabilities. The control problem is formulated inspired by the tracking model predictive control framework, and it considers the central idea of including artificial variables into the control problem to obtain a closed-loop system with an enlarged domain of attraction and with feasibility insurance. Finally, numerical results in a case study considering a quadrotor UAV are provided to corroborate the proposed strategy. © 2021 IEEE.

关键词： Energy efficiency

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Elevating urban sustainability: An intelligent framework for optimizing water-energy-food nexus synergies in metabolic landscapes

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Applied Energy 2024年 360卷

作者： Zhou, Yanlai Chang, Fi-John Chang, Li-Chiu Herricks, Edwin State Key Laboratory of Water Resources Engineering and Management Wuhan University Wuhan430072 China Department of Bioenvironmental Systems Engineering National Taiwan University Taipei10617 Taiwan Department of Water Resources and Environmental Engineering Tamkang University New Taipei City25137 Taiwan University of Illinois Urbana-Champaign 205 North Mathews Ave. UrbanaIL61801-2352 United States

As global urbanization accelerates, harmonizing water, energy, and food (WEF) resources within urban contexts is pivotal for sustainable development. This study introduces the Intelligent Urban Metabolism Framework (IUMF) for synergizing WEF dynamics, with a focus on socio-technological linkages and environmental concerns arising from climate change. Through a pioneering fusion of system dynamics simulation, machine learning surrogate, metaheuristic optimization, and multi-criteria decision making techniques, IUMF offers a transformative approach to resource management under climate uncertainty. Leveraging comprehensive data sourced from Taipei, Taiwan, this study demonstrates noteworthy enhancements in WEF nexus synergies, including a 9% boost in water supply, an 8% rise in energy benefits, and a significant 13.8% increase in food production. The cases corresponding to the best solutions under the scenario depicting a wet year and high solar radiation intensity would attain the largest benefits: 873 million m3 of water supply (water sector), 90.3 million USD of power benefits (energy sector), and 79 million kg of food production (food sector). These advancements are achieved while reducing computational runtime from 20 h to 30 min. By fostering a user-friendly interface and embracing an intelligent framework, IUMF catalyzes urban sustainability efforts. Our study highlights the potential of intelligent frameworks in addressing complex urban challenges and guiding the evolution of resource-efficient systems and offers a blueprint for a more resilient and sustainable urban future. © 2024 Elsevier Ltd

关键词： Water supply

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Towards Circular Economy in the Built Environment: Overcoming Obsolescence Via Building Adaptation

SSRN

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SSRN 2023年

作者： Eliote, Guilherme Monteiro Leite, Fernanda Construction Engineering and Project Management Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States John A. Focht Centennial Teaching Fellow in Civil Engineering Construction Engineering and Project Management Program Sustainable Systems Program Department of Civil Architectural and Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St. Stop C1752 AustinTX78712-1094 United States

Every year, buildings undergo services of adaptation to account for changes in users’ needs, deterioration, code updates, among others. This process, also called building obsolescence, is inevitable and most of these buildings lack a proactive adaptation plan. New buildings, however, can be designed to be more resilient when dealing with obsolescence by leveraging circular economy principles. The understanding of building obsolescence is crucial since they are the triggers of a process of adaptation. Studies have investigated different types of building obsolescence but have not focused on specific causes. Through qualitative analysis of interviews, we identified challenges faced by Architecture, engineering, and Construction professionals in the building adaptation process. Recommendations to tackle these challenges were given, including the selection of durable materials, overdesign of key elements, design for disassembly, and use of modular systems. The research findings can help planners avoid common issues that harm the building adaptation process. © 2023, The Authors. All rights reserved.

关键词： Obsolescence

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Implementation and Experiment of Join Optimization Algorithm for Inverted Index in an RDBMS 1

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11th International Conference on Computer Science and its Applications, CSA 2019 and 14th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2019

作者： Shin, Yoonmi Temuujin, Odsuren Jeon, Minhyuk Ahn, Jinhyun Im, Dong-Hyuk Department of Computer Engineering Hoseo University Asan Korea Republic of Department of Management Information Systems Jeju National University Jeju Korea Republic of

ISBN: (数字)9789811593437

ISBN: (纸本)9789811593420

In a relational database management system (RDBMS), when a user searches for a keyword included in a document, a keyword search is attempted using various join methods. When a keyword search is performed using a merge join in an RDBMS that stores a large number of documents, the retrieval time for the query is increased due to unnecessary comparison operations. In this study, we propose a keyword search using a Skip Merge Join that minimizes unnecessary comparison operations when a keyword search is performed using a row direction relational inverse index table. We confirmed the results of improving the keyword search performance by implementing the Skip Merge Join algorithm using the relational database PostgreSQL and verifying it through experiments. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Search engines

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Promoting Open Data Utilization in Infrastructure management Through an Integrated System of Data Processing, Cloud Storage, and Visualization

Promoting Open Data Utilization in Infrastructure Management...

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International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Zhenlong Zhang Kei Kawamura Yiming Su Hisao Emoto Shuji Sawamura C. K. Nguyen Graduate School of Sciences and Technology for Innovation Yamaguchi University Ube Japan Social Systems and Civil Engineering Faculty of Engineering Tottori University Tottori Japan Department of construction Yamaguchi Prefecture Government Yamaguchi Japan MienTrung University of Civil Engineering 195 Ha Huy Tap Tuy Hoa Phu Yen Vietnam

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

During the rapid economic growth of Japan in the 1960s, the country's infrastructure development progressed swiftly. Since 2014, the Japanese government has mandated regular inspections of major urban infrastructure. This policy has resulted in the annual accumulation of substantial amounts of infrastructure inspection data. Two years prior to implementing this policy, the Japanese government also launched an open data initiative to encourage industry developers to utilize open data. However, this study observes that inconsistencies in data formatting and standards across different regions pose significant challenges to the utilization of this data. To address the obstacles hindering the use of open data, this study proposes an integrated system(Service Link Platform) for effectively managing and utilizing periodic transportation infrastructure inspection data which encompasses data collection, data format processing, cloud storage and transmission, and data utilization. This article will layout the manner in which the system employs a method for distributing data in JSON (JavaScript Object Notation) format to publicly manage bridge inspection data and ensure compatibility of data formats.

关键词： Cloud computing Roads Government Standards organizations Data visualization Transportation Inspection Personnel Open data Software development management

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Development of element assignment program based on feature quantity extraction method from emission spectra of glow-discharged atomic vapor source obtained with czerny-turner spectrometer

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Transactions of the Atomic Energy Society of Japan 2021年第3期20卷 100-105页

作者： Ishikawa, Daisuke Oku, Naoya Hasegawa, Shuichi Department of Nuclear Engineering and Management School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Department of Systems Innovation Faculty of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan Nuclear Professional School School of Engineering The University of Tokyo 2-22 Shirane Shirakata Tokai-mura Naka-gun Ibaraki319-1188 Japan

To analyze the radioactive wastes produced by the accident at the Fukushima Daiichi Nuclear Power Plant, we have been developing a laser absorption and emission spectroscopic system for sample screening. By the sputtering technique, neutral atomic vapor can be produced from a solid sample even if the chemical forms of the samples are complex. This system utilizes a DC glow-discharged hollow cathode atomic source that does not require an extensive chemical pretreatment. Although it is possible to perform emission spectroscopy for multi-element simultaneous analysis to clarify the elements of samples with this system, it takes much time to assign complex peaks of the samples. A program was developed for the rapid assignment of the emission spectra. We utilized a Czerny-Turner spectrometer, which has a low resolution power. The program written in Python could assign the large emission peaks because of the ease of signal discrimination. © 2021 Atomic Energy Society of Japan, All Rights Reserved.

关键词： Python

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Online Resource Allocation in Episodic Markov Decision Processes

arXiv

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arXiv 2023年

作者： Lee, Duksang Overman, William Lee, Dabeen Department of Industrial and Systems Engineering KAIST Daejeon34141 Korea Republic of Graduate School of Business Stanford University StanfordCA94305 United States

This paper studies a long-term resource allocation problem over multiple periods where each period requires a multi-stage decision-making process. We formulate the problem as an online allocation problem in an episodic finite-horizon constrained Markov decision process with an unknown non-stationary transition function and stochastic non-stationary reward and resource consumption functions. We propose the observe-then-decide regime and improve the existing decide-then-observe regime, while the two settings differ in how the observations and feedback about the reward and resource consumption functions are given to the decision-maker. We develop an online dual mirror descent algorithm that achieves near-optimal regret bounds for both settings. For the observe-then-decide regime, we prove that the expected regret against the dynamic clairvoyant optimal policy is bounded by (Equation presented) where ρ ∈ (0, 1) is the budget parameter, H is the length of the horizon, S and A are the numbers of states and actions, and T is the number of episodes. For the decide-then-observe regime, we show that the regret against the static optimal policy that has access to the mean reward and mean resource consumption functions is bounded by (Equation presented) with high probability. We test the numerical efficiency of our method for a variant of the resource-constrained inventory management problem. Copyright © 2023, The Authors. All rights reserved.

关键词： Markov processes

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Advancing Precision Aquaculture Through Big Data Analytics and Machine Learning in Canadian Fish Farming

Advancing Precision Aquaculture Through Big Data Analytics a...

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OCEANS 2024 - Halifax, OCEANS 2024

作者： Bravo, Francisco Amorim, Joana Amirkandeh, Melika Besharati Bodorik, Peter Cerqueira, Vitor Gomes, Nuno R.C. Korus, Jennie Oliveira, Mariana Parent, Marianne Pimentel, João Reilly, Derek Sclodnick, Tyler Grant, Jon Filgueira, Ramón Whidden, Christopher Universidad Adolfo Ibañez Facultad de Ingenieria y Ciencias Santiago Chile Dalhousie University Faculty of Computer Science Halifax Canada University of Porto Faculty of Engineering Portugal Barcelona Spain Innovasea Marine Systems Bedford Canada Charlottetown Canada Dalhousie University Department of Oceanography Halifax Canada Marine Affairs Program Dalhousie University Halifax Canada

ISBN: (纸本)9798331540081

The aquaculture industry faces significant challenges related to sustainability, productivity, and fish welfare. Key issues include managing environmental conditions, disease, pests, and data integration from various sensors and monitoring systems. The BigFish project aims to address these challenges through advanced analytics and machine learning, focusing on three case studies in Atlantic salmon farms: predicting oxygen levels, reducing sea lice infestations, and improving data interaction and visualization. Predictive models for oxygen levels and sea lice infestation, as well as natural language interfaces for data visualization, demonstrate the potential for improved decision-making and management practices in aquaculture. Early results indicate the effectiveness of these approaches, highlighting the importance of data-driven solutions in enhancing industry sustainability and productivity. © 2024 IEEE.

关键词： Aquaculture

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Gaussian Process Port-Hamiltonian systems: Bayesian Learning with Physics Prior

arXiv

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arXiv 2023年

作者： Beckers, Thomas Seidman, Jacob Perdikaris, Paris Pappas, George J. Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States graduate program in Applied Mathematics and Computational Science University of Pennsylvania PhiladelphiaPA19104 United States Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania PhiladelphiaPA19104 United States

Data-driven approaches achieve remarkable results for the modeling of complex dynamics based on collected data. However, these models often neglect basic physical principles which determine the behavior of any real-world system. This omission is unfavorable in two ways: The models are not as data-efficient as they could be by incorporating physical prior knowledge, and the model itself might not be physically correct. We propose Gaussian Process Port-Hamiltonian systems (GP-PHS) as a physics-informed Bayesian learning approach with uncertainty quantification. The Bayesian nature of GP-PHS uses collected data to form a distribution over all possible Hamiltonians instead of a single point estimate. Due to the underlying physics model, a GP-PHS generates passive systems with respect to designated inputs and outputs. Further, the proposed approach preserves the compositional nature of Port-Hamiltonian systems. © 2023, CC BY-NC-ND.

关键词： Hamiltonians

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An overview on GNSS carrier-phase time transfer research

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Science China(Technological Sciences) 2020年第4期63卷 589-596页

作者： ZHANG Ming Lü JinHu BAI ZhengDong JIANG ZhiQi CHEN BoBo The Key Laboratory of Systems and Control Institute o f Systems ScienceAcademy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China Institute of Geomatics of Tsinghua University Beijing 100084China Management and Department of Energy and Resources Engineering College of EngineeringPeking UniversityBeijing 100871China

Global navigation satellite system(GNSS)carrier phase observations are two orders of higher accuracy than pseudo-range observations,and they are less affected by multipath *** a result,the time transfer accuracy can reach 0.1 ns,and the frequency transfer stability can reach 1×10^-15 with carrier phase(CP)method,therefore CP method is considered the most accurate and promising time transfer *** focus of this paper is to present a comprehensive summary of CP method,with specific attention directed toward day-boundary clock jump,ambiguity resolution(AR),multi-system time transfer and real-time time ***-boundary clock jump is essentially caused by pseudo-range *** approaches were proposed to solve the problem,such as continuously processing strategy,sliding batch and bidirectional filtering methods which were compared in this ***,researches on AR in CP method were *** scholars attempted to fix the single-difference ambiguities to improve the time transfer result,however,owing to the uncalibrated phase delay(UPD)was not considered,the current studies on AR in CP method were still ***,because four GNSS systems could be used for time-transfer currently,which was helpful to increase the accuracy and reliability,the researches on multi-system time transfer were ***’s more,real-time time transfer attracted more attention nowadays,the preliminary research results were presented.

关键词： carrier phase(CP) time transfer day-boundary clock jump ambiguity resolution(AR) multi-system time transfer real-time time transfer

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