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2nd International Conference on Sciences and Technology Applications, ICOSTA 2020

作者： Retno Susilorini, Rr M. I. Pamudji, Andre Kurniawan Sanjaya, Ridwan Ismail, Amrizarois Amasto, Ardhito Hayyu Department of Infrastructure and Environmental Engineering Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Indonesia Master Program of Environmental and Urban Studies Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Indonesia Department of Information System Faculty of Computer Science Soegijapranata Catholic University Semarang Indonesia

Indonesia had been suffered by earthquake and tsunami for many centuries. Since many lives have taken by tsunami strikes, alert and response system are very important as important part of Disaster Risk Reduction, especially in area with high population density. This research conducted in Kangkung fishing village in Bandar Lampung coastal area which is an earthquake and tsunami prone area. The aim of the research is to study alert and response of Community Based Disaster Risk Reduction. The research conducted by qualitative method and purposive-descriptive approach. There were 53 respondents which participated in the survey and interview. It is reported that "Smart Resilient City"model suitable for community needs of alert and response of earthquake and tsunami disaster. This research meets conclusion that "Smart Resilient City"model may become a great solution in Community Based Disaster Risk Reduction to cope with the hazard of earthquake and tsunami comprehensively and sustainably. © Published under licence by IOP Publishing Ltd.

关键词： Surveys

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Hybrid Particle Swarm and Conjugate Gradient Optimization in Neural Network for Prediction of Suspended Particulate Matter 4

Hybrid Particle Swarm and Conjugate Gradient Optimization in...

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4th International Conference on Energy, Environment, Epidemiology and Information system, ICENIS 2019

作者： Warsito, Budi Prahutama, Alan Yasin, Hasbi Sumiyati, Sri Department of Statistics Faculty of Sciences and Mathematics Diponegoro University Semarang Indonesia Master Program of Information System School of Postgraduate Studies Diponegoro University Semarang Indonesia Department of Environmental Engineering Faculty of Engineering Diponegoro University Semarang Indonesia

The scope of this research is the use of artificial neural network models and meta-heuristic optimization of Particle Swarm Optimization (PSO) for the prediction of ambient air pollution parameter data at air quality monitoring stations in the city of Semarang, Central Java. The observed parameter is an indicator of ambient air quality, Suspended Particulate Matter (SPM). Based on air quality parameter data in previous times which is a time series data, modeling is done using Neural Networks (NN). Estimation of weights from NN is done using a hybrid method between meta-heuristic and gradient optimization. The meta-heuristic optimization method used is Particle Swarm Optimization (PSO) while the gradient based method is the Conjugate Gradient. Optimization with PSO is done first, then proceed with optimization using the Conjugate Gradient. Four scenarios of iteration selection at the PSO stage are 10, 25, 50 and 100. At the Conjugate Gradient, stage iteration is carried out up to 1000 epohs. The predicted results were compared with the PSOs and Conjugate Gradient respectively. The results show that the hybrid method provides better predictions. The number of iterations needed at the PSO stage is not too much so it is efficient in combining the two methods. © The Authors, published by EDP Sciences, 2019.

关键词： Forecasting

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A Chatbot-Based Information Service for Housing Consultants 22

A Chatbot-Based Information Service for Housing Consultants

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22nd IEEE Student Conference on Research and Development, SCOReD 2024

作者： Chandrawati, T. Brenda Wahyuni, Maria Rejeki, Vgs Anggita, Lintang Jata Matitaputty, Shandy Nugraha, Johanes Arya Pramesta Riyadi, Oktavius Theo Andreas Sugihartono, Matthew Amadeus Kristiawan, Reynald Dian Soegijapranata Catholic University Engineering Profession Program Information System Department Semarang Indonesia Soegijapranata Catholic University Engineering Profession Program Semarang Indonesia Soegijapranata Catholic University Architecture Department Semarang Indonesia Soegijapranata Catholic University Infrastructure and Environmental Engineering Department Semarang Indonesia Soegijapranata Catholic University Accountancy Department Semarang Indonesia Soegijapranata Catholic University Information System Department Semarang Indonesia

ISBN: (纸本)9798331510077

The development of artificial intelligence technology has driven the emergence of various innovations in human-machine interaction, one of which is the chatbot. A chatbot is software that can interact with humans through text or voice, creating the impression that they are communicating with real people. Currently, chatbots are very popular. This chatbot was developed as a collaboration between the team from Soegijapranata Catholic University as part of the Higher Education Community and KRS BP2P Java III within the Kedaireka Matching Fund platform. The chatbot that has been developed aims to provide information services related to the process of building self-built housing. The KRS BP2P Java III chatbot makes it easier for the community to enhance their understanding of self-reliance in fulfilling the need for decent housing. © 2024 IEEE.

关键词： Information services

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Design and prototype development of advanced oxidation black and gray water treatment systems

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NAVAL ENGINEERS JOURNAL 2006年第3期118卷 51-64页

作者： Markle, Stephen P. CDR. STEPHEN P. MARKLE USN (REt.)P.E.a retired US Navy Engineering Duty Officer and is the Engineering Director for Navalis Environmental Systems. His active duty assignments included the staff of the Chief of Naval Operations Director of Surface Warfare as Section Head for Surface Combatant Maintenance and Modernization Program Executive Office Expeditionary Warfare as Assistant Project Manager for the (TAKE 1)Class Program and as Deputy Director Environmental Programs Division at Naval Sea Systems Command. He is a 1993 graduate of the Naval Construction and Engineering Program at the Massachusetts Institute of Technology where he received a Naval Engineers Degree and Master of Science in Mechanical Engineering. Since 1995 he has authored thirteen published technical papers dealing with environmental issues. CDR Markle is the recipient of Fiscal Year 2001 Individual Environmental Quality Awards and Environmental Excellence in Weapon System Acquisition Team Awards from Naval Sea Systems Command Chief of Naval Operations Secretary of the Navy and Secretary of Defense and the 2001 ASNE “Jimmie Hamilton” award. He is a Professional Engineer registered in the State of New York and Commonwealth of Virginia. He serves as the Chair of the Joint ASNE/SNAME Committee on Environmental Engineering and also as Chair of ASTM Ships and Marine Technology Marine Environmental Protection Subcommittee (F25.06).

Regulations governing the discharge of sewage from ships have been in force since the early 1970's. In response, the marine industry has developed ever more complex systems and processes for managing these wastes. The first compliance method involved holding wastes until they could be legally discharged;as technology advanced, treatment systems were developed and installed to enable discharge within regulated waters. As the size and number of ships as increased with maturation of the ocean tourism business, more restrictive regulations have been enacted to minimize the impact on sensitive waters. The trend is toward increasing regulation of both sewage and graywater. The most recent action occurred on 12 October 2005 when the Governor of California signed into law Senate Bill 771 regulating most ship liquid discharges within state waters. This paper describes the development of an innovative advanced wastewater treatment technology, based on advanced oxidation, bearing in mind the lessons learned from systems developed by industry over the past thirty years.

关键词： Wastewater treatment

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Integrating artificial neural networks and cluster analysis to assess energy efficiency of buildings

Integrating artificial neural networks and cluster analysis ...

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IIE Annual Conference and Expo 2014

作者： Aqlan, Faisal Ahmed, Abdulaziz Srihari, Krishnaswami Khasawneh, Mohammad T. Industrial and System Engineering Program Department of Mechanical Civil and Environmental Engineering University of New Haven West HavenCT06516 United States Department of Systems Science and Industrial Engineering State University of New York at Binghamton BinghamtonNY13902 United States

ISBN: (纸本)9780983762430

Energy consumption of buildings worldwide has steadily increased over the past couple of decades. Furthermore, energy performance of buildings is one of the factors that contribute to energy waste and its perennial adverse impact on the environment. This paper presents a data mining approach for assessing the heating and cooling requirements of residential buildings. The proposed approach combines Artificial Neural Networks (ANNs) and cluster analysis to assess and predict the heating and cooling energy efficiency of residential buildings. The ANN-based model uses eight input variables (i.e., relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and glazing area distribution) to predict both the heating and cooling loads of residential buildings. Buildings are then clustered based on the output variables using the K-means clustering method. The proposed approach is used to assess and evaluate 768 diverse residential buildings based on simulated literature data. The research results showed that the proposed approach can effectively predict the heating and cooling requirements of residential buildings based on the input variables considered with a very high level of accuracy.

关键词： Energy efficiency

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Radiocarbon analysis as a tool to understand the fate of fossil carbon in water recovery processes

Radiocarbon analysis as a tool to understand the fate of fos...

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Water Environment Federation Technical Exhibition and Conference 2017, WEFTEC 2017

作者： Tseng, L.Y. Robinson, A.K. Xu, X. Southon, J. Rosso, D. Environmental Studies Program Dept. of Physics and Astronomy Colgate University HamiltonNY United States Dept. of Civil and Environmental Engineering University of California Irvine United States Dept. of Earth System Science University of California Irvine United States Dept. of Earth System Science University of California Irvine United States Dept. of Civil and Environmental Engineering University of California Irvine United States Water-Energy Nexus Center University of California Irvine United States

ISBN: (纸本)9781510863682

The greenhouse gas (GHG) emission accounting procedures published by the Intergovernmental Panel on Climate Change (IPCC) assume that carbon dioxide (CO2) generated by water resource recovery facilities (WRRFs) in the treatment process is modern (or biogenic) thus is omitted. This assumption is applied to all types of industrial and municipal WRRFs. Using radiocarbon dating we confirmed that a combination of biogenic and fossil carbon enter municipal WRRFs. In addition, we found that the fossil carbon content varies with the type of industrial wastewater. The fossil content from the petrochemical refinery and the pulp/paper mill wastewater treatment plants set the boundary for the fossil carbon, with one containing almost exclusively fossil carbon and the other almost no fossil carbon, respectively. We also compared the fossil carbon content at different points of the WRRF with their GHG potential, calculated as CO2 equivalent from ideal combustion. The results showed that secondary sludge had the highest CO2 equivalent emission potential of up to 0.294 kg fossil CO2 equivalent m-3 wastewater treated. Our calculations showed that sludge-generated biogas and biosolids had little potential to produce direct GHG emission, thus digesting secondary sludge instead of disposal may reduce the overall fossil GHG emission. Our study showed that a municipal WRRF can contribute a fractional fossil emission which may increase the current IPCC WRRF GHG inventory up to 23%.

关键词： Greenhouse gases

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Dynamics of one-dimensional spin models via complex-time evolution of tensor networks

arXiv

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arXiv 2025年

作者： Cha, Jeong Hyeok Lee, Hyun-Yong Kim, Heung-Sik Department of Semiconductor Physics Kangwon National University Chuncheon24341 Korea Republic of Interdisciplinary Program in Earth Environmental System Science and Engineering Kangwon National University Chuncheon24341 Korea Republic of Division of Semiconductor Physics Korea University Sejong30019 Korea Republic of Department of Applied Physics Graduate School Korea University Sejong30019 Korea Republic of Institute of Quantum Convergence Technology Kangwon National University Chuncheon24341 Korea Republic of

Studying the real-time dynamics of strongly correlated systems poses significant challenges, which have recently become more manageable thanks to advances in density matrix renormalization group (DMRG) and tensor network methods. A notable development in this area is the introduction of a complex-time evolution scheme for tensor network states, originally suggested for solving Anderson impurity model and designed to suppress the growth of entanglement under time evolution. In this study, we employ the complex-time evolution scheme to investigate the dynamics of one-dimensional spin systems, specifically the transverse-field Ising model (TFIM) and the XXZ model. Our analysis revisits the dynamic critical exponent z of the TFIM and explores the dynamical structure factor in both gapped and gapless states of the XXZ model. Importantly, the complex-time evolution reproduces the results of real-time evolution while mitigating the rapid growth of quantum entanglement typically associated with the latter. These results demonstrate that the combination of complex-time evolution and extrapolation provides a robust and efficient framework for studying the dynamics of complex quantum systems, enabling more comprehensive insights into their behavior. © 2025, CC BY.

关键词： Quantum entanglement

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Geophysical Constraints on Decarbonized systems—Building Spatio-Temporal Uncertainties into Future Electricity Grid Planning

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Current Sustainable/Renewable Energy Reports 2023年第4期10卷 218-233页

作者： Chowdhury, Afm Kamal Wild, Thomas Deshmukh, Ranjit Iyer, Gokul Galelli, Stefano Earth System Science Interdisciplinary Center University of Maryland College ParkMD20740 United States College ParkMD20740 United States Environmental Studies Program University of California Santa Barbara Santa BarbaraCA93106 United States Bren School of Environmental Science and Management University of California Santa Barbara Santa BarbaraCA93106 United States School of Civil and Environemntal Engineering Cornell University IthacaNY14853 United States

Purpose of Review: Future electricity grids will be characterized by the high penetration of renewables to support the decarbonization process. Yet, this transition will further expose grids to a broad spectrum of geophysical forces, such as weather and climate or the availability of land and minerals. Here, we synthesize the current body of knowledge on the relationship between geophysical constraints and electricity grid planning. Recent Findings: We show that there have been promising advances in the data, methods, and modelling tools needed to incorporate the effect of geophysical constraints on demand, resource availability, and grid operations. However, current research efforts are typically focused on the effect of a single constraint, thereby lacking a broader view of the problem. Summary: More system-specific and finer-scale analyses are necessary to better understand how spatio-temporal variability in geophysical forces affects grid planning. Moreover, we need a broader focus on the multi-sectoral implications of decarbonization efforts, including the societal consequences of grid management decisions. Importantly, all these efforts are challenged by the computational requirements of existing power system models, which often limit our ability to characterize uncertainty and scale analyses across larger domains. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Uncertainty analysis

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Analytical Control Parameters of the Swing Leg Retraction Method using an Instantaneous SLIP Model

Analytical Control Parameters of the Swing Leg Retraction Me...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Natan Shemer Amir Degani Autonomous System Program Technion Haifa 32000 Israel Faculty of Civil and Environmental Engineering Technion Haifa 32000 Israel

ISBN: (纸本)9781479969357

The Spring-Loaded Inverted Pendulum (SLIP) is a widely used model for the description of humans and animals running motion. The SLIP model is, however, sensitive to impact angle for various terrain heights. One known method for increasing the model's robustness to terrain changes is the Swing Leg Retraction (SLR) method. Despite its popularity, an analytic formulation of this method has yet been provided. In this work, using an instantaneous stance phase assumption, we present the increase in robustness of the swing method. This analysis provides a way to isolate the optimal parameters of the SLR. We validate these optimal parameters in simulations and proof-of-concept experiments in a planar environment.

关键词： optimal parameter control parameter wobbling model description analytical control Impact angle Leg

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Reutilization and upcycling of spent graphite for sustainable lithium-ion batteries: progress and perspectives

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eScience 2025年

作者： Xueqian Li Chenglong Deng Mengyao Liu Jiawei Xiong Xiaodong Zhang Qiaoyi Yan Jiao Lin Cen Chen Feng Wu Yi Zhao Renjie Chen Li Li Beijing Key Laboratory of Environmental Science and Engineering School of Materials Science and Engineering Beijing Institute of Technology Beijing 100081 China Innovative Research Team in High-Safety Energy Storage System and Smart Microgrids of Guangdong Province Beijing Institute of Technology (Zhuhai) Zhuhai 519088 China Shandong Key Laboratory of Advanced Chemical Energy Storage and Intelligent Safety Advanced Technology Research Institute Beijing Institute of Technology Jinan 250300 China State Key Laboratory of Chemical Engineering College of Chemistry Beijing University of Chemical Technology Beijing 100029 China Quantitative Methodology Program The University of Georgia Athens GA 30605 United States

In the development of sustainable lithium-ion batteries, achieving the efficient and cost-effective recycling of all components, particularly spent graphite (SG) anodes, has become a critical requirement. While considerable efforts have been devoted to recovering and reusing SG materials under conventional conditions, limited attention has been given to recycling under extreme conditions. This review systematically elucidates the main failure mechanisms of graphite anodes, including lithium plating and dendrite formation, solid electrolyte interface film failure, structural degradation, and current collector corrosion, with a particular focus on low-temperature and fast-charging conditions. As a contribution toward optimizing resource utilization, this review comprehensively summarizes the industrial perspective on strategies for recycling SG anodes, which aim to produce high-purity regenerated graphite (RG) powders. We also analyze current methods for modifying RG, such as structural reconstruction and surface reconditioning, to bring added value to modified RG materials. A detailed examination of the technical challenges in SG recycling and RG upgrading is presented, offering guidance for the future development of graphite upcycling technologies. This review also provides valuable insights into achieving high efficiency, intelligence, and sustainability in graphite utilization.

关键词： Spent lithium-ion batteries Graphite anode Degradation mechanism Recycling Regeneration

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