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A Multifunctional Hydrogel with Multimodal Self-Powered Sensing Capability and Stable Direct Current Output for Outdoor Plant Monitoring Systems

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Nano-Micro Letters 2025年第4期17卷 1-24页

作者： Xinge Guo Luwei Wang Zhenyang Jin Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Center for Intelligent Sensors and MEMS(CISM) National University of Singapore5 Engineering Drive 1Singapore 117608Singapore NUS Graduate School-Integrative Sciences and Engineering Program(ISEP) National University of SingaporeSingapore 119077Singapore Research Center for Sustainable Urban Farming(SUrF) National University of SingaporeSingapore 117558Singapore

Smart farming with outdoor monitoring systems is critical to address food shortages and sustainability *** systems facilitate informed decisions that enhance efficiency in broader environmental *** outdoor systems equipped with energy harvesters and self-powered sensors often struggle with fluctuating energy sources,low durability under harsh conditions,non-transparent or non-biocompatible materials,and complex ***,a multifunctional hydrogel is developed,which can fulfill all the above requirements and build selfsustainable outdoor monitoring systems solely by *** can serve as a stable energy harvester that continuously generates direct current output with an average power density of 1.9 W m^(-3)for nearly 60 days of operation in normal environments(24℃,60%RH),with an energy density of around 1.36×10^(7)J m^(-3).It also shows good self-recoverability in severe environments(45℃,30%RH)in nearly 40 days of continuous ***,this hydrogel enables noninvasive and self-powered monitoring of leaf relative water content,providing critical data on evaluating plant health,previously obtainable only through invasive or high-power consumption *** potential extends to acting as other self-powered environmental *** multifunctional hydrogel enables self-sustainable outdoor systems with scalable and low-cost production,paving the way for future agriculture.

关键词： Self-powered sensor Hydrogel Energy harvester Outdoor farming Self-sustainable IoT

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Optimizing waste pre-collection model in Indonesian communities: comparing drop-off and door-to-door models through social cost–benefit analysis

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Journal of Material Cycles and Waste Management 2025年 1-17页

作者： Miftahadi, Machmuddin Fitra Hibino, Kohei Rachman, Indriyani Matsumoto, Toru Graduate Program in Environmental System Graduate School of Environmental Engineering The University of Kitakyushu Kitakyushu808-0135 Japan Kitakyushu Urban Centre Institute for Global Environmental Strategies Kitakyushu805-0062 Japan Department of Natural Science Education School of Postgraduate Studies Universitas Pakuan Kota Bogor16143 Indonesia Research Center for Urban Energy Management Institute of Environmental Science and Technology The University of Kitakyushu Kitakyushu808-0135 Japan

Indonesia lacks an established waste pre-collection system resulting 90% waste ending up in open-dumping site. This study identifies a 35-m radius per drop-off points as the most optimal model. The City of South Tangerang, on 21 residential areas with a population of 63,157, being examine. Utilizing ArcGIS Pro and Python scripting, 12 scenarios were developed, model drop-off radii of 15–45 m and household limits of 4–32 per drop-off point, including combined models. Spatial clustering KD-Tree algorithm and Proximity-based Routing were employed to determine collection placements and walking distances. Heatmap and ANOVA tests evaluated conformity with residential characteristics. Model then organized into eight frequency schemes, utilizing motorcart and handcart systems with 4-day and 2-day pickup schedules for waste bank and in-house compost programs. This optimized model reduces collection time by up to 81% and costs by 50% compared to traditional door-to-door systems, achieving cost reductions of $30–$38 USD per ton and lowering CO₂ emissions. The discussion covers opportunity costs and occupational risk. This approach supports Indonesia’s waste reduction targets and offers policy alignment for urban waste management. © The Author(s), under exclusive licence to Springer Nature Japan KK, part of Springer Nature 2025.

关键词： Python

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Data-Driven Incentive Mechanisms for Federated Learning in Vehicular Networks

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IEEE Transactions on Vehicular Technology 2025年

作者： Fathi, Faeze Montazeri, Mina N.araabi, Babak Du, Hongyang Niyato, Dusit Kebriaei, Hamed University of Tehran School of Ece College of Engineering Tehran Iran Urban Energy Systems Laboratory Dübendorf8600 Switzerland Nanyang Technological University School of Computer Science and Engineering The Energy Research Institute @ Ntu Interdisciplinary Graduate Program Singapore Nanyang Technological University School of Computer Science and Engineering Singapore School of Computer Science Tehran Iran

Centralized machine learning algorithms in vehicular networks face privacy and resource constraints. Federated Learning (FL) addresses these by enabling collaborative model training without sharing raw data. To incentivize vehicle participation despite resource constraints, we propose a contract between Roadside Units (RSUs) and vehicles, specifying required computation resources and rewards based on local data quality. The contract is designed to maximize the utility of the RSU, subject to constraints that ensure the participation of the vehicles in the task and truthful reporting of their data quality parameter. However, designing an optimal contract with classical methods is limited to specific utility functions. To extend the design methodology of optimal contracts to a broader range of utility functions, our study proposes a deep learning-based solution. Specifically, we present a novel application of Deep Neural Networks (DNNs), marking the first instance of applying DNNs in contract theory-based incentive mechanisms to achieve nearoptimal contracts. We design the DNN's structure to inherently satisfy specific constraints of the optimization problem, enhancing its efficiency and accuracy in determining the optimal contract. We utilize an augmented Lagrangian method to approximate the optimal contract in federated learning tasks. A case study on traffic sign recognition demonstrates the applicability and effectiveness of our method. Comparing our approach with the well-known generative diffusion model shows that in the FL scenarios, the DNN results are closer to the optimal contract compared to those of the generative diffusion model. © 1967-2012 IEEE.

关键词： Traffic signs

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OPTIMAL LIST PRICE AND DURATION OF VACANCY IN THE HOUSING MARKET IN TOKYO

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Review of urban and Regional Development Studies 2016年第3期28卷 182-201页

作者： Gu, Jianping Asami, Yasushi Graduate Program in Sustainability Science (GPSS-GLI) The University of Tokyo Chiba Japan Department of Urban Engineering The University of Tokyo Tokyo Japan

In the housing market, the advertised list price significantly influences the final sale price and the duration a property spends on the market. With the uncertainties and complexities of the housing market, the list price can be a difficult and critical decision for home sellers. This paper develops a theoretical model for an optimal list price strategy with an information learning process to ensure a maximum expected return and a discussion of the ideal vacancy rate. The optimal list price strategy is composed of factors such as the frequency of list price revisions, the best timing to revise the price, and the value of a sequence of list prices and varies according to the market situation, and patience and prior knowledge of the seller. The results of the application in Tokyo 23 wards imply that there is an excess of houses in the sale market and potential for home sellers to improve their list price strategy and the learning process in order to shorten the time a property spends on the market without losing any return. © 2016 The Applied Regional Science Conference (ARSC) and John Wiley & Sons Australia, Ltd

关键词： HOUSING market HOME prices SALES MARKETING strategy

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ANALYSIS OF CAPILLARY ABSORPTION PHENOMENA OF CEMENT PASTE AND MORTAR BY USING TWO LIQUIDS IMMERSION METHOD

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Journal of Structural and Construction engineering 2022年第792期87卷 171-181页

作者： Kawasaki, Taihei Yifter, Simon Seifu Fujimoto, Satoshi Graduate Program in Architecture and Building Engineering Utsunomiya University Japan Dept. of Engineering Utsunomiya University Japan Ethiopian Institute of Technology in Mekelle Mekelle University Ethiopia Dept. of Architecture and Urban Design Utsunomiya University Japan

Durability of reinforced concrete is correlated to the water content. Since the main cause of water content increase is rainwater supply from the surface, it is important to understand the mechanism of absorption. This paper analyzes the initial absorption of cement mortar caused by the capillary phenomena. Absorption test for two liquids were conducted for various mix proportions under several relative humidity and surface treatments. By using Lucas-Washburn equation, parameters corresponding to pore structure and wettability of pore internal wall were evaluated. It was found that almost any mix proportions of cement mortar have approximately the same internal pore wettability. © 2022 Architectural Institute of Japan. All rights reserved.

关键词： Wetting

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The Population Growth and Carrying Capacity in Semarang City 2

The Population Growth and Carrying Capacity in Semarang City

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2nd International Conference on Energy, Environmental and Information System, ICENIS 2017

作者： Hariyanto Hadi, Sudharto P. Buchori, Imam Doctoral Program at Environment Science Post Graduate School Diponegoro University Indonesia Department of Urban Plannung Engineering Faculty Diponegoro University Indonesia

Population growth and development of city activities take some lands to carry them. As a result, land use competition happens among persons, society or sector. Land necessity for settlement, industry, or sector has taken over farm land, therefore farm land has been converted intensively and massively. Chronologically, population growth will cause land necessity increase. Unproductive land, especially farm land will be converted. Furthermore, farm land conversion will cause carrying capacity change. Carrying capacity has certain bio capacity. With the population growth, it will increase resource consumption;on the other side, farm land conversion will decrease carrying capacity. The objective of the study is to know about the influence of population growth towards carrying capacity (bio capacity) in Semarang city. Land consumption per capita is indeed influenced by city population, the higher the population is, the lower the land consumption per capita. With the population growth, it will influence carrying capacity. Carrying capacity here is the ratio of area to population. Analytical descriptive method is applied in the study with all sub-districts in Semarang city as the analysis unit. Population here is sub-district area and population per sub-district in Semarang city. Population growth data period is from 2000 until 2015. Main variables of the study are area per sub-district, population, population growth, carrying capacity. Result of the study shows significant influence of carrying capacity decrease, especially some outskirts in Semarang city. This condition happens because the outskirts in Semarang city tend to have dense population growth. Range of carrying capacity in Semarang city is from 0,007 to 0,117 of 0 to 1. Almost all sub-districts in Semarang city show miserable condition, except Mijen and Tugu. The conclusion of the study is that population will decrease carrying capacity. Therefore, the government should control population growth by paying atten

关键词： Population statistics

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Auralization as a tool to study threshold perception of spatial Impression 44

Auralization as a tool to study threshold perception of spat...

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44th International Congress and Exposition on Noise Control engineering, INTER-NOISE 2015

作者： Maiorino, Alexandre Virginelli Bertoli, Stelamaris Rolla Graduate Program of Architecture Technology and City School of Civil Engineering Architecture and Urban Design University of Campinas - UNICAMP Brazil Department of Architecture and Construction School of Civil Engineering Architecture and Urban Design University of Campinas - UNICAMP Brazil

Technology advances in computer simulation such as auralization has brought a new perspective in acoustic research. The possibility to simulate a space, play a sound source and listen to the result made possible to open new frontiers on subjective evaluation of acoustics environments. As part of a PhD in Architecture, focused in acoustics, this paper intends to investigate the feasibility of using auralization to study the threshold of perception of spatialization, specifically regarding early reflections. A research on the subject made by Barron and Marshall in the 80's was virtually reproduced with the addition of different sound sources such as solo voice, solo cello and two orchestra samples in order to investigate if sound source would have an influence on threshold perception. An anechoic chamber with speakers reproducing direct sound and early reflections at different delays was simulated on software EASE 4.3 from AFMG. A jury analyzed auralized sounds of the different sound sources. Results showed a good correlation with Barron and Marshall's research and that the type of sound source did not make a difference on the threshold perception. It also showed that auralization is a valuable tool for the research of threshold perception and possibly for just noticeable difference perception. © 2015 by ASME.

关键词： Acoustic generators

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GIS-Based Methodology for Crash Prediction on Single-Lane Rural Highways

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Journal of Geographic Information System 2021年第2期13卷 98-121页

作者： Márcia Macedo Emilia Kohlman Rabbani Maria Maia Marlos Macedo Bianca Ferreira Post-Graduate Program in Civil Engineering UPE Recife Brazil Post-Graduate Program in Systems Engineering UPE Recife Brazil Graduate Program in Architecture and Urban Planning UNICAP Recife Brazil

Due to the need to update the current guidelines for highway design to focus on safety, this study sought to build an accident prediction model using a Geographic Information System (GIS) for single-lane rural highways, with a minimum of statistically significant variables, adequate to the Brazilian reality, and improve accident prediction for places with similar characteristics. A database was created to associate the accident records with the geometric parameters of the highway and to fill in the gaps left by the absence of geometric highway plans through geometric reconstitution or semi-automatic extraction of highways using satellite images. The Generalized Estimating Equation (GEE) method was applied to estimate the coefficients of the model, assuming negative distribution of the binomial error for the count of observed accidents. The accident frequency and annual average daily traffic (AADT) were analyzed, along with the spatial and geometric characteristics of 215 km of federal single-lane rural highways between 2007 and 2016. The GEE procedure was applied to two models having three variations of distinct homogeneous segmentation, two based on segments and one based on the kernel density estimator. To assess the effect of constant traffic, two more variations of the models using AADT as an offset variable were considered. The predominant correlation structure in the models was the exchangeable. The principal contributing factors for the occurrence of collisions were the radius of the horizontal curve, the grade, segment length, and the AADT. The study produced clear indicators for the design parameters of roadways that influence the safety performance of rural highways.

关键词： Roads GEE Single-Lane Rural Highways GIS Crash Prediction

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Building information modeling integrated to multi-performance based generation design

Building information modeling integrated to multi-performanc...

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12th International Conference on Civil, Structural and Environmental engineering Computing, CC 2009

作者： Andrade, M.L.V.X. Ruschel, R.C. Graduate Program of Civil Engineering University of Campinas São Paulo Brazil School of Civil Engineering Architecture and Urban Design University of Campinas São Paulo Brazil

ISBN: (纸本)9781905088300

This paper will discuss conceptual fundamentals that will support a thesis research. This thesis discusses the incorporation of BIM into the digital architecture design process and proposes to analyze an alternative use of performative architectural design for conceptual design. It proposes a multi-performance-based generation design model as integrated practice encouraging intelligent modeling and developing new architect skills, in BIM era, compared to traditional digital design models. The chosen object of study are preliminary studies for public school projects for the state of São Paulo, in Brazil considering the FDE Education Agency regulations and rules. © Civil-Comp Press, 2009.

关键词： Architectural design

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A novel open-source framework for automatic flocculation kinetics and retention time modelling using image analysis and swarm intelligence

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Journal of Water Process engineering 2025年 74卷

作者： Bankole, Abayomi O. Moruzzi, Rodrigo Negri, Rogério G. Campos, Luiza C. Department of Civil and Environmental Engineering São Paulo State University (UNESP) Bauru Campus São Paulo Brazil Institute of Science and Technology São Paulo State University (UNESP) São Paulo São José dos Campos Brazil Department of Water Resources Management and Agrometeorology COLERM Federal University of Agriculture Abeokuta Nigeria Graduate Program in Natural Disasters (UNESP/CEMADEN) São Paulo São José dos Campos Brazil Centre for Urban Sustainability and Resilience Department of Civil Environmental and Geomatic Engineering University College London Gower Street London WC1E 6BT United Kingdom

Automatic detection of flocculation kinetic mechanisms and total hydraulic retention time (THRT) in multi-chamber systems in series is essential for seamless water treatment modelling. This study presents the first open-source tool for modelling flocculation kinetics and THRT in multi-chambers systems, with their sensitivity to image analysis. This study introduces three key novelties: (1) a non-derivative Secant method for simulating THRT, (2) use of Particle Swarm Optimization (PSO) algorithm to facilitate curve fitting technique for modelling flocculation kinetic coefficients, and (3) automatic retention time modelling directly from floc images, including sensitivity to threshold-based image segmentation. The proposed Secant method demonstrated greater robustness compared to the existing Newton-Raphson method (N-R), as it avoided convergence in cases where the N-R produced negative retention times. The PSO algorithm produced results comparable to the Bayesian approach, with aggregation coefficients of 2.773 × 10⁻⁴ and 1.905 × 10⁻⁴, and breakage coefficients of 1.186 × 10⁻⁶ and 2.656 × 10⁻⁶, at low and high velocity gradients (G), respectively. Flocculation kinetics at low G has steady aggregation followed by a dynamic equilibrium, while high G exhibited rapid formation of fragile flocs, followed by dominant breakage mechanism, and a later lower equilibrium. Scaled G for multi-chamber systems showed that reactor configurations with an immediate low G in the second chamber resulted in an average 50 % decrease in THRT. Finally, aggregation and breakage coefficients were sensitive to image segmentation thresholds, but THRT sensitivity is limited. The deployed model is accessible to improve flocculation modelling for multi-chambers in series (https://***). © 2025 Elsevier Ltd

关键词： Aggregation and breakage coefficients Completely stirred tank reactor Flocculation kinetics Intelligent water treatment monitoring System automation

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