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Energy and Built Environment 2024年第6期5卷 957-969页

作者： Arunim Anand chirag Deb Centre for Urban Science and Engineering Indian Institute of Technology BombayMumbai 400076MaharashtraIndia School of Architecture Design and PlanningThe University of SydneyNSW 2006Australia

As the world continues to urbanize at an unprecedented rate,the energy demand in cities is *** account for over 75%of all the energy consumed in cities and are responsible for over two-thirds of the *** of energy demand in buildings is a highly integrative endeavour,bringing together the interdisciplinary fields of energy and urban studies,along with a host of technical domains namely,geography,engineering,economics,sociology,and *** the last decade,several urban building energy modelling tools(UBEMs)have been developed for estimation as well as prediction of energy demand in *** models are useful in policymaking as they can evaluate future urban energy ***,data acquisition for generating the input database for UBEM has been a major *** this review,a comprehensive assessment of the potential of remote sensing and GIS techniques for UBEM has been ***,the most common input variables of UBEM have been identified by reviewing recent publications on UBEM and then studies related to the acquisition of data corresponding to these variables have been *** than 140 research papers and review articles relevant to remote sensing and GIS applications for building level data extraction in urban areas and UBEM applications have been investigated for this *** going through level of details required for each of the input components of UBEM and studying the possibility of acquiring some of those data using remote sensing,it has been inferred that satellite remote sensing and Unmanned Aerial Vehicles(UAVs)have a strong potential in enhancing the input data space for UBEM but their applicability has been ***,the challenges of the usage of these technologies and the possible solutions have also been presented in this *** is recommended to utilise the existing methodologies of extracting information from remote sensing and GIS for UBEM,along with newer techniques such

关键词： Remote sensing GIS Urban Building Energy Modelling(UBEM) UAV Building energy demand

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MCWOA Scheduler:Modified Chimp-Whale Optimization Algorithm for Task Scheduling in Cloud Computing

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Computers, Materials & Continua 2024年第2期78卷 2593-2616页

作者： chirag Chandrashekar Pradeep Krishnadoss Vijayakumar Kedalu Poornachary Balasundaram Ananthakrishnan School of Computer Science and Engineering Vellore Institute of TechnologyChennai600127India Center for Cyber Physical Systems School of Computer Science and EngineeringVellore Institute of TechnologyChennai600127India

Cloud computing provides a diverse and adaptable resource pool over the internet,allowing users to tap into various resources as *** has been seen as a robust solution to relevant challenges.A significant delay can hamper the performance of IoT-enabled cloud ***,efficient task scheduling can lower the cloud infrastructure’s energy consumption,thus maximizing the service provider’s revenue by decreasing user job processing *** proposed Modified Chimp-Whale Optimization Algorithm called Modified Chimp-Whale Optimization Algorithm(MCWOA),combines elements of the Chimp Optimization Algorithm(COA)and the Whale Optimization Algorithm(WOA).To enhance MCWOA’s identification precision,the Sobol sequence is used in the population initialization phase,ensuring an even distribution of the population across the solution ***,the traditional MCWOA’s local search capabilities are augmented by incorporating the whale optimization algorithm’s bubble-net hunting and random search mechanisms into MCWOA’s position-updating *** study demonstrates the effectiveness of the proposed approach using a two-story rigid frame and a simply supported beam *** outcomes reveal that the new method outperforms the original MCWOA,especially in multi-damage detection *** excels in avoiding false positives and enhancing computational speed,making it an optimal choice for structural damage *** efficiency of the proposed MCWOA is assessed against metrics such as energy usage,computational expense,task duration,and *** simulated data indicates that the new MCWOA outpaces other methods across all *** study also references the Whale Optimization Algorithm(WOA),Chimp Algorithm(CA),Ant Lion Optimizer(ALO),Genetic Algorithm(GA)and Grey Wolf Optimizer(GWO).

关键词： Cloud computing scheduling chimp optimization algorithm whale optimization algorithm

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MDCN:Modified Dense Convolution Network Based Disease Classification in Mango Leaves

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Computers, Materials & Continua 2024年第2期78卷 2511-2533页

作者： chirag Chandrashekar K.P.Vijayakumar K.Pradeep A.Balasundaram School of Computer Science and Engineering Vellore Institute of Technology(VIT)ChennaiIndia Center for Cyber Physical Systems School of Computer Science and EngineeringVellore Institute of Technology(VIT)ChennaiIndia

The most widely farmed fruit in the world is *** the production and quality of the mangoes are hampered by many *** diseases need to be effectively controlled and ***,a quick and accurate diagnosis of the disorders is *** convolutional neural networks,renowned for their independence in feature extraction,have established their value in numerous detection and classification ***,it requires large training datasets and several parameters that need careful *** proposed Modified Dense Convolutional Network(MDCN)provides a successful classification scheme for plant diseases affecting mango *** model employs the strength of pre-trained networks and modifies them for the particular context of mango leaf diseases by incorporating transfer learning *** data loader also builds mini-batches for training the models to reduce training ***,optimization approaches help increase the overall model’s efficiency and lower computing *** employed on the MangoLeafBD Dataset consists of a total of 4,000 *** the experimental results,the proposed system is compared with existing techniques and it is clear that the proposed algorithm surpasses the existing algorithms by achieving high performance and overall throughput.

关键词： Leaf disease detection deep convolutional neural networks transfer learning optimization MangoLeafBD Dataset

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Ameliorative Effects of Paclobutrazol via Physio-Biochemical and Molecular Manifestation in Rice under Water Deficit Stress

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Rice science 2024年第5期31卷 603-616,I0065页

作者： chirag MAHESHWARI Nitin Kumar GARG Archana SINGH Aruna TYAGI Indian Council of Agricultural Research-Indian Agricultural Research Institute New Delhi 110012India Sri Karan Narendra Agricultural University JobnerRajasthan 303329India

To comprehensively explore the physio-biochemical and molecular changes of paclobutrazol(PBZ) at the ideal dose under water deficit stress(WDS) conditions, we investigated the effects of 100 mg/kg PBZ applied via drenching on various physio-biochemical and molecular parameters in three rice varieties(N22, IR64, and IR64 DTY1.1) under both mild [75%-80% relative water content(RWC)] and severe(60%-65% RWC) WDS conditions. The results showed that PBZ treatment positively influenced the physio-biochemical parameters, significantly increasing dry matter(16.27%-61.91%), RWC(6.48%-16.34%), membrane stability index(4.37%-10.35%), and total chlorophyll content(8.97%-29.09%) in the rice varieties under both mild and severe WDS. Moreover, PBZ treatment reduced drought susceptibility(0.83-0.95) and enhanced drought tolerance efficiency(60.92%-86.78%), indicating its potential as a stress-mitigating agent. Global methylation analysis revealed changes in DNA methylation patterns, indicating the regulatory influence of PBZ on gene expression. The expression analysis of genes involved in the diversification of geranylgeranyl pyrophosphate towards the biosynthesis of abscisic acid, gibberellin acid, and chlorophyll showed alterations in their expression levels, suggesting the involvement of PBZ in the isoprenoid pathway. Overall, this study provides valuable insights into the potential mechanisms by which PBZ modulates physiological and molecular responses in rice plants under WDS. The findings highlight the importance of PBZ as a promising agent for enhancing drought tolerance in rice and offer valuable information for future research in crop stress management.

关键词： rice paclobutrazol drought stress abscisic acid gibberellic acid

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Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities:Current trends and future outlook

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Building Simulation 2024年第5期17卷 695-722页

作者： Nilabhra Mondal Prashant Anand Ansar Khan chirag Deb David Cheong Chandra Sekhar Dev Niyogi Mattheos Santamouris Department of Architecture and Regional Planning Indian Institute of Technology KharagpurKharagpurIndia Department of Geography Lalbaba CollegeUniversity of CalcuttaKolkataIndia School of Architecture Design and PlanningThe University of SydneyAustralia Department of the Built Environment National University of SingaporeSingapore Department of Geological Sciences Jackson School of GeosciencesThe University of Texas at AustinAustinUSA DepartmentofCivil Architecturaland Environmental EngineeringThe Universityof Texas at AustinAustinUSA Faculty of Built Environment University of New South WalesAustralia

Energy demand fluctuations due to low probability high impact(LPHI)micro-climatic events such as urban heat island effect(UHI)and heatwaves,pose significant challenges for urban infrastructure,particularly within urban *** short term load forecasting(STLF)of buildings in urban micro-climatic setting(UMS)is obscured by the complex interplay of surrounding morphology,micro-climate and inter-building energy *** urban building energy modelling(UBEM)approaches to provide quantitative insights about building energy consumption often neglect the synergistic impacts of micro-climate and urban morphology in short temporal *** order modelling,unavailability of rich urban datasets such as building key performance indicators for building archetypes-characterization,limit the inter-building energy dynamics consideration into *** addition,mismatch of resolutions of spatio-temporal datasets(meso to micro scale transition),LPHI events extent prediction around UMS as well as its accurate quantitative inclusion in UBEM input organization step pose another degree of *** review aims to direct attention towards an integrated-UBEM(i-UBEM)framework to capture the building load fluctuation over multi-scale spatio–temporal *** highlights usage of emerging data-driven hybrid approaches,after systematically analysing developments and limitations of recent physical,data-driven artificial intelligence and machine learning(AI-ML)based modelling *** also discusses the potential integration of google earth engine(GEE)-cloud computing platform in UBEM input organization step to(i)map the land surface temperature(LST)data(quantitative attribute implying LPHI event occurrence),(ii)manage and pre-process high-resolution spatio-temporal UBEM *** the potential of digital twin,central structed data models to integrate along UBEM workflow to reduce uncertainties related to building archetype characterizat

关键词： urban heat island(UHI) urbanmicro-climate urban morphology urban building energy modelling(UBEM) digitaltwin shorttermload forecasting(STLF) googleearthengine(GEE)

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VISION-iT:A Framework for Digitizing Bubbles and Droplets

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Energy and AI 2024年第1期15卷 26-35页

作者： Youngjoon Suh Sanghyeon Chang Peter Simadiris Tiffany B.Inouye Muhammad Jahidul Hoque Siavash Khodakarami chirag Kharangate Nenad Miljkovic Yoonjin Won Department of Mechanical and Aerospace Engineering University of CaliforniaIrvine4200 Engineering GatewayCA 92617-2700USA Department of Electrical Engineering and Computer Science University of CaliforniaIrvine5200 Engineering HallCA 92617-2700USA Department of Mechanical Science and Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA Mechanical and Aerospace Engineering Department Case Western Reserve UniversityClevelandOH44106USA Department of Electrical and Computer Engineering University of Illinois at Urbana-ChampaignUrbanaIL61801USA Materials Research Laboratory University of Illinois at Urbana-ChampaignUrbanaIL61801USA International Institute for Carbon Neutral Energy Research(WPI-12CNER) Kyushu University744 Moto-okaNishi-kuFukuoka 819-0395Japan

Quantifying the nucleation processes involved in liquid-vapor phase-change phenomena,while dauntingly challenging,is central in designing energy conversion and thermal management *** technological advances in the deep learning and computer vision field offer the potential for quantifying such complex two-phase nucleation processes at unprecedented *** leveraging these new technologies,a multiple object tracking framework called“vision inspired online nuclei tracker(VISION-iT)”has been proposed to extract large-scale,physical features residing within boiling and condensation ***,extracting high-quality features that can be integrated with domain knowledge requires detailed discussions that may be field-or case-specific *** this regard,we present a demonstration and discussion of the detailed construction,algorithms,and optimization of individual modules to enable adaptation of the framework to custom *** concepts and procedures outlined in this study are transferable and can benefit broader audiences dealing with similar problems.

关键词： Deep learning Computer vision Nucleation Heat transfer Phase-change phenomena

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40-meter-long REBCO tapes with critical current over 4,000 A/12 mm at 4.2 K and 13 T by advanced MOCVD

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Superconductivity 2024年第1期9卷 29-34页

作者： Mahesh Paidpilli chirag Goel Bhabesh Sarangi Siwei Chen Eduard Galstyan Jan Jaroszynski Griffin Bradford Dmytro Abraimov Venkat Selvamanickam Department of Mechanical Engineering Advanced Manufacturing InstituteTexas Center for SuperconductivityUniversity of HoustonHoustonTexasUSA AMPeers LLC HoustonTexasUSA National High Magnetic Field Laboratory TallahasseeFloridaUSA

REBa_(2)Cu_(3)O_(7−δ)(REBCO,RE=rare earth)tapes doped with 5%and 15%Zr have been scaled up to lengths more than 40 m in a pilot‐scale advanced metal organic chemical vapor deposition(A‐MOCVD)*** precursor compositions used for the long tapes were guided by a study of the influence of(Ba+dopant)/Cu content on the critical current density(Jc)of 5 and 15 mol.%Hf‐and Zr‐added tapes at 4.2 K and 13 *** 40‐mlong tapes exhibited a critical current(Ic)over 4,000 A/12 mm at 4.2 K and 13 T as well as over 1,400 A/12 mm at 20 K and 20 *** critical current densities of a 40‐m‐long tape doped with 5%Zr at 4.2 K measured at the National High Magnetic Field Laboratory(NHMFL)were>10 MAcm^(−2)and>5 MAcm^(−2)at 14 T and 30 T,respectively,which are over three times those of commercial REBCO *** infield Jc of 5%Zradded 40‐m‐long tapes was similar to those of previously‐reported high‐performance short samples made with 15%Zr or *** results demonstrate the excellent potential of A‐MOCVD for manufacturing high Ic REBCO tapes for use in ultrahigh‐field magnet applications.

关键词： High‐temperature superconductors MOCVD REBCO Critical current

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Adaptive Network Sustainability and Defense Based on Artificial Bees Colony Optimization Algorithm for Nature Inspired Cyber Security

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Computer Systems Science & Engineering 2024年第3期48卷 739-758页

作者： chirag Ganguli Shishir Kumar Shandilya Michal Gregus Oleh Basystiuk Institute of Technology VIT Bhopal UniversityBhopalIndia School of Data Science and Forecasting Devi Ahilya UniversityIndore452001India Department of Information Systems Comenius University in BratislavaBratislava82005Slovak Republic Department of Artificial Intelligence Lviv Polytechnic National UniversityLviv79013Ukraine

Cyber Defense is becoming a major issue for every organization to keep business continuity *** presented paper explores the effectiveness of a meta-heuristic optimization algorithm-Artificial Bees Colony Algorithm(ABC)as an Nature Inspired Cyber Security mechanism to achieve adaptive *** experiments on the Denial-Of-Service attack scenarios which involves limiting the traffic flow for each *** today have adapted their service distribution models to include the use of the Internet,allowing them to effectively manage and interact with their customer *** shift has created an increased reliance on online services to store vast amounts of confidential customer data,meaning any disruption or outage of these services could be disastrous for the business,leaving them without the knowledge to serve their *** can exploit such an event to gain unauthorized access to the confidential data of the *** proposed algorithm utilizes an Adaptive Defense approach to continuously select nodes that could present characteristics of a probable malicious *** any changes in network parameters,the cluster of nodes is selected in the prepared solution set as a probable malicious node and the traffic rate with the ratio of packet delivery is managed with respect to the properties of normal nodes to deliver a disaster recovery plan for potential businesses.

关键词： Artificial bee colonization adaptive defense cyber attack nature inspired cyber security cyber security cyber physical infrastructure

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Chemically robust superhydrophobic surfaces with a self‐replenishing nanoscale liquid coating

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Droplet 2024年第1期3卷 136-148页

作者： Xiaoteng Zhou Pranav Sudersan Diego Diaz Benjamin Leibauer chirag.hinduj. Fahimeh Darvish Pravash Bista Lukas Hauer Manfred Wagner Werner Steffen Jie Liu Michael Kappl Hans‐Jürgen Butt Max Planck Institute for Polymer Research MainzGermany Key Laboratory of Green Printing Institute of ChemistryChinese Academy of SciencesBeijingChina School of Chemical Sciences University of Chinese Academy of SciencesBeijingChina

Due to poor chemical robustness,superhydrophobic surfaces become susceptible to failure,especially in a highly oxidative *** ensure the longterm efficacy of these surfaces,a more stable and environmentally friendly coating is required to replace the conventional salinization ***,soottemplated surfaces with re‐entrant nanostructures are precoated with polydimethylsiloxane(PDMS)*** additional nanometer‐thick lubricant layer of PDMS was then applied to increase chemical *** surface is superhydrophobic with a nanoscale liquid *** the lubricant layer is thin,ridge formation is suppressed,which leads to low drop sliding friction and fast drop *** introducing a bottom“reservoir”of a free lubricant as an oil source for self‐replenishing to the upper layer,the superhydrophobic surface becomes more stable and heals spontaneously in response to alkali erosion and O2 plasma *** design also leads to a higher icing delay time and faster removal of impacting cooled water drops than for uncoated surfaces,preventing icing at low temperatures.

关键词： coating friction liquid

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竞争激烈的防护涂料市场

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中国涂料 2024年第6期39卷 75-76页

作者： chirag Tripathi Atul Yadav Surabhi Patankar Markets and Markets公司

在预测期内,防护涂料市场预计将从2023年的134亿欧元增长至2028年的159亿欧元,复合年增长率为3.5%。亚太地区包括了经济发展水平不同的各种经济体。按产值计算,2022年该地区防护涂料的份额占总收入的53%。该地区的增长主要归功于民用建... 详细信息

在预测期内,防护涂料市场预计将从2023年的134亿欧元增长至2028年的159亿欧元,复合年增长率为3.5%。亚太地区包括了经济发展水平不同的各种经济体。按产值计算,2022年该地区防护涂料的份额占总收入的53%。该地区的增长主要归功于民用建筑和基础设施、海洋和发电行业的发展,以及消费品和家电、建筑业和家具等各行各业的进步。将生产设施转移至亚太地区的主要好处在于生产成本低、可获得熟练且廉价的劳动力,并能够更好地服务于当地的新兴市场。

关键词：防护涂料复合年增长率基础设施新兴市场发电行业消费品经济发展水平竞争激烈

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