The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the d...The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree a and weight wl. Accurate information of a certain emergency activity should be collected before making the decision.展开更多
The earthqnake emergency material preparation demand analysis can provide the scientific basis for all levels of governments to conduct reasonable and unified configuration of the emergency preparation resources, in o...The earthqnake emergency material preparation demand analysis can provide the scientific basis for all levels of governments to conduct reasonable and unified configuration of the emergency preparation resources, in order to further optimize the earthquake emergency ability construction to provide reference. This paper takes Datong City of Shanxi Province as an example, using the earthquake risk evaluation method, adopting the deterministic method and probabilistic method to conduct earthquake danger analysis, combined with the earthquake emergency rescue case and the previous scholars＇ research achievements, in order to study and analyze the earthquake emergency material preparation demand in different earthquake dangers.展开更多
Determining the optimal vehicle routing of emergency material distribution(VREMD)is one of the core issues of emergency management,which is strategically important to improve the effectiveness of emergency response an...Determining the optimal vehicle routing of emergency material distribution(VREMD)is one of the core issues of emergency management,which is strategically important to improve the effectiveness of emergency response and thus reduce the negative impact of large-scale emergency events.To summarize the latest research progress,we collected 511VREMD-related articles published from 2010 to the present from the Scopus database and conducted a bibliometric analysis using VOSviewer software.Subsequently,we cautiously selected 49 articles from these publications for system review;sorted out the latest research progress in model construction and solution algorithms;and summarized the evolution trend of keywords,research gaps,and future works.The results show that domestic scholars and research organizations held an unqualified advantage regarding the number of published papers.However,these organizations with the most publications performed poorly regarding the number of literature citations.China and the US have contributed the vast majority of the literature,and there are close collaborations between researchers from both countries.The optimization model of VREMD can be divided into single-,multi-,and joint-objective models.The shortest travel time is the most common optimization objective in the single-objective optimization model.Several scholars focus on multiobjective optimization models to consider conflicting objectives simultaneously.In recent literature,scholars have focused on the impact of uncertainty and special events(e.g.,COVID-19)on VREMD.Moreover,some scholars focus on joint optimization models to optimize vehicle routes and central locations(or material allocation)simultaneously.Solution algorithms can be divided into two primary categories,i.e.,mathematical planning methods and intelligent evolutionary algorithms.The branch and bound algorithm is the most dominant mathematical planning algorithm,while genetic algorithms and their enhancements are the most commonly used intelligent evolutionary algorithms.It is shown that the nondominated sorting genetic algorithmⅡ(NSGA-Ⅱ)can effectively solve the multiobjective model of VREMD.To further improve the algorithm’s performance,researchers have proposed improved hybrid intelligent algorithms that combine the advantages of NSGA-Ⅱand certain other algorithms.Scholars have also proposed a series of optimization algorithms for specific scenarios.With the development of new technologies and computation methods,it will be exciting to construct optimization models that consider uncertainty,heterogeneity,and temporality for large-scale real-world issues and develop generalized solution approaches rather than those applicable to specific scenarios.展开更多
Developing a reasonable and efficient emergency material scheduling plan is of great significance to decreasing casualties and property losses.Real-world emergency material scheduling(EMS)problems are typically large-...Developing a reasonable and efficient emergency material scheduling plan is of great significance to decreasing casualties and property losses.Real-world emergency material scheduling(EMS)problems are typically large-scale and possess complex constraints.An evolutionary algorithm(EA)is one of the effective methods for solving EMS problems.However,the existing EAs still face great challenges when dealing with large-scale EMS problems or EMS problems with equality constraints.To handle the above challenges,we apply the idea of a variable reduction strategy(VRS)to an EMS problem,which can accelerate the optimization process of the used EAs and obtain better solutions by simplifying the corresponding EMS problems.Firstly,we define an emergency material allocation and route scheduling model,and a variable neighborhood search and NSGA-II hybrid algorithm(VNS-NSGAII)is designed to solve the model.Secondly,we utilize VRS to simplify the proposed EMS model to enable a lower dimension and fewer equality constraints.Furthermore,we integrate VRS with VNS-NSGAII to solve the reduced EMS model.To prove the effectiveness of VRS on VNS-NSAGII,we construct two test cases,where one case is based on a multi-depot vehicle routing problem and the other case is combined with the initial 5∙12 Wenchuan earthquake emergency material support situation.Experimental results show that VRS can improve the performance of the standard VNS-NSGAII,enabling better optimization efficiency and a higher-quality solution.展开更多
With the development of new synthesis methods and chemistries,a number of new superhard materials have been reported to be harder than diamond.While such materials are highly desirable due to their wide-ranging applic...With the development of new synthesis methods and chemistries,a number of new superhard materials have been reported to be harder than diamond.While such materials are highly desirable due to their wide-ranging applications,there are some inherent uncertainties in the methods utilized to determine and define the hardness of such materials.In this paper,we employed the standard Vickers diamond indenter and substitute indenters with the same shape to measure the hardness of nine ceramics and superhard materials within well-defined criteria and methodology,for the assessment of consistency in the hardness testing.The findings and the developed testing method in the current study have broad implications in characterizing new and emerging superhard materials,leading to new discoveries.展开更多
AS a consequence of China’s past decades as a planned economy, with its over emphasis on production and neglect of circulation, the country’s material flow has long remained at an undeveloped level, with small-scale...AS a consequence of China’s past decades as a planned economy, with its over emphasis on production and neglect of circulation, the country’s material flow has long remained at an undeveloped level, with small-scale operation, poor organization, and a lack of equipment. For too long, production and circulation have been unrelated processes.展开更多
Electrical energy is essential for modern society to sustain economic growths.The soaring demand for the electrical energy,together with an awareness of the environmental impact of fossil fuels,has been driving a shif...Electrical energy is essential for modern society to sustain economic growths.The soaring demand for the electrical energy,together with an awareness of the environmental impact of fossil fuels,has been driving a shift towards the utilization of solar energy.However,traditional solar energy solutions often require extensive spaces for a panel installation,limiting their practicality in a dense urban environment.To overcome the spatial constraint,researchers have developed transparent photovoltaics(TPV),enabling windows and facades in vehicles and buildings to generate electric energy.Current TPV advancements are focused on improving both transparency and power output to rival commercially available silicon solar panels.In this review,we first briefly introduce wavelength-and non-wavelengthselective strategies to achieve transparency.Figures of merit and theoretical limits of TPVs are discussed to comprehensively understand the status of current TPV technology.Then we highlight recent progress in different types of TPVs,with a particular focus on solution-processed thin-film photovoltaics(PVs),including colloidal quantum dot PVs,metal halide perovskite PVs and organic PVs.The applications of TPVs are also reviewed,with emphasis on agrivoltaics,smart windows and facades.Finally,current challenges and future opportunities in TPV research are pointed out.展开更多
CONSPECTUS:The increasing demands of sustainable energy,electronics,and biomedical applications call for next-generation functional materials with unprecedented properties.Of particular interest are emerging materials...CONSPECTUS:The increasing demands of sustainable energy,electronics,and biomedical applications call for next-generation functional materials with unprecedented properties.Of particular interest are emerging materials that display exceptional physical properties,making them promising candidates for energy-efficient microelectronic devices.As the conventional Edisonian approach becomes significantly outpaced by growing societal needs,emerging computational modeling and machine learning methods have been employed for the rational design of materials.展开更多
Bioelectronics are powerful tools for monitoring and stimulating biological and biochemical processes,with applications ranging from neural interface simulation to biosensing.The increasing demand for bioelectronics h...Bioelectronics are powerful tools for monitoring and stimulating biological and biochemical processes,with applications ranging from neural interface simulation to biosensing.The increasing demand for bioelectronics has greatly promoted the development of new nanomaterials as detection platforms.Recently,owing to their ultrathin structures and excellent physicochemical properties,emerging two-dimensional(2D)materials have become one of the most researched areas in the fields of bioelectronics and biosensors.In this timely review,the physicochemical structures of the most representative emerging 2D materials and the design of their nanostructures for engineering highperformance bioelectronic and biosensing devices are presented.We focus on the structural optimization of emerging 2D material-based composites to achieve better regulation for enhancing the performance of bioelectronics.Subsequently,the recent developments of emerging 2D materials in bioelectronics,such as neural interface simulation,biomolecular/biomarker detection,and skin sensors are discussed thoroughly.Finally,we provide conclusive views on the current challenges and future perspectives on utilizing emerging 2D materials and their composites for bioelectronics and biosensors.This review will offer important guidance in designing and applying emerging 2D materials in bioelectronics,thus further promoting their prospects in a wide biomedical field.展开更多
The fact that InN has a direct bandgap of 0.75eV enables InN-based nitrides devices to cover the wavelength range from UV region to 1.8μm, therefore, emerging as a new material system for optical communication applic...The fact that InN has a direct bandgap of 0.75eV enables InN-based nitrides devices to cover the wavelength range from UV region to 1.8μm, therefore, emerging as a new material system for optical communication applications.展开更多
The State Council recently printed and distributed the Notice on the‘Development Plan of National Strategic Emerging Industries for the'Thirteenth Five Year Plan'’(The Plan),which made overall deployment and...The State Council recently printed and distributed the Notice on the‘Development Plan of National Strategic Emerging Industries for the'Thirteenth Five Year Plan'’(The Plan),which made overall deployment and arrangement for development target,key tasks,展开更多
In the context of the COVID-19 epidemic,a"double-hazard scenario"consisting of a natural disaster and a public health event simultaneously accurring is more likely to arise.However,compared with single-hazar...In the context of the COVID-19 epidemic,a"double-hazard scenario"consisting of a natural disaster and a public health event simultaneously accurring is more likely to arise.However,compared with single-hazard,multiple disasters confront the challenges of complexity,diversity,and demand urgency.To improve the efficiency of emergency material distribution under multiple disasters,this study first divided multiple disasters into three categoriles:independent scenario,sequential scenario,and coupling scenario.A set of evaluation index systems for multiple disasters was established to quantify the urgency of demand.The routing optimization model of emergency vehicles for multiple disasters was proposed by combining demand urgency and road damage,and the non-dominated sorting genetic algorithm II(NSGA-I)was used to simulate and validate the model.A coupling scenario considering two typical disasters of hurricanes and epidemics was selected as a validation example,and sensitivity analysis was also performed for different algorithms,scenarios,and constraints.The results demonstrated that the proposed model could effectively address the vehicle routing problem of emer-gency materials in the context of multiple disasters.Compared to the NSGA,the NSGA-II was used to reduce the total delivery time,cost,and penalty cost by 15.98%6,13.60%,and 16.14%,respectively.Compared with the independent scenario,the coupling scenario increased the total delivery time and cost by 186.28%and 132.48%during the epidemic.However,it reduced the total delivery time by 4.00%and increased the delivery cost by 23.55%compared with the hurricane.Compared with the model without consideration,the model considering demand urgency and road damage reduced the total delivery time and cost by 17.88%and 8.73%,respectively.The model constructed in this study addressed the vehicle routing problem considering the demand urgency and road damage in the optimization process,particularly in the context of multiple disasters.展开更多
The era of the Artificial Intelligence of Things(AIo T)is defined by the rapid development of electronic devices and systems that seamlessly integrate machine learning algorithms with Internet of Things(Io T)applicati...The era of the Artificial Intelligence of Things(AIo T)is defined by the rapid development of electronic devices and systems that seamlessly integrate machine learning algorithms with Internet of Things(Io T)applications.Despite progress in silicon electronics and emerging new materials along the“More Moore”path,the rigid and brittle nature of conventional components struggles to meet the growing and urgent demands of diverse AIo T scenarios,such as embodied intelligence and healthcare.By introducing a new mechanical dimension,flexible electronics offer an attractive“More than Moore”pathway to overcome these limitations.展开更多
基金Project(71071162)supported by the National Natural Science Foundation of China
文摘The objective of this work was to determine the location of emergency material warehouses. For the site selection problem of emergency material warehouses, the triangular fuzzy numbers are respectively demand of the demand node, the distance between the warehouse and demand node and the cost of the warehouse, a bi-objective programming model was established with minimum total cost of the system and minimum distance between the selected emergency material warehouses and the demand node. Using the theories of fuzzy numbers, the fuzzy programming model was transformed into a determinate bi-objective mixed integer programming model and a heuristic algorithm for this model was designed. Then, the algorithm was proven to be feasible and effective through a numerical example. Analysis results show that the location of emergency material warehouse depends heavily on the values of degree a and weight wl. Accurate information of a certain emergency activity should be collected before making the decision.
文摘The earthqnake emergency material preparation demand analysis can provide the scientific basis for all levels of governments to conduct reasonable and unified configuration of the emergency preparation resources, in order to further optimize the earthquake emergency ability construction to provide reference. This paper takes Datong City of Shanxi Province as an example, using the earthquake risk evaluation method, adopting the deterministic method and probabilistic method to conduct earthquake danger analysis, combined with the earthquake emergency rescue case and the previous scholars＇ research achievements, in order to study and analyze the earthquake emergency material preparation demand in different earthquake dangers.
基金the National Natural Science Foundation of China(51808187,52062027)the Fundamental Research Funds for the Central Universities(B210202035)+2 种基金the"Double-First Class"Major Research Programs,Educational Department of Gansu Province(GSSYLXM-04)the Soft Science Special Project of Gansu Basic Research PIan(22JR4ZA035)the Gansu Provincial Science and Technology Major Special Project-Enterprise Innovation Consortium Project(22ZD6GA010)。
文摘Determining the optimal vehicle routing of emergency material distribution(VREMD)is one of the core issues of emergency management,which is strategically important to improve the effectiveness of emergency response and thus reduce the negative impact of large-scale emergency events.To summarize the latest research progress,we collected 511VREMD-related articles published from 2010 to the present from the Scopus database and conducted a bibliometric analysis using VOSviewer software.Subsequently,we cautiously selected 49 articles from these publications for system review;sorted out the latest research progress in model construction and solution algorithms;and summarized the evolution trend of keywords,research gaps,and future works.The results show that domestic scholars and research organizations held an unqualified advantage regarding the number of published papers.However,these organizations with the most publications performed poorly regarding the number of literature citations.China and the US have contributed the vast majority of the literature,and there are close collaborations between researchers from both countries.The optimization model of VREMD can be divided into single-,multi-,and joint-objective models.The shortest travel time is the most common optimization objective in the single-objective optimization model.Several scholars focus on multiobjective optimization models to consider conflicting objectives simultaneously.In recent literature,scholars have focused on the impact of uncertainty and special events(e.g.,COVID-19)on VREMD.Moreover,some scholars focus on joint optimization models to optimize vehicle routes and central locations(or material allocation)simultaneously.Solution algorithms can be divided into two primary categories,i.e.,mathematical planning methods and intelligent evolutionary algorithms.The branch and bound algorithm is the most dominant mathematical planning algorithm,while genetic algorithms and their enhancements are the most commonly used intelligent evolutionary algorithms.It is shown that the nondominated sorting genetic algorithmⅡ(NSGA-Ⅱ)can effectively solve the multiobjective model of VREMD.To further improve the algorithm’s performance,researchers have proposed improved hybrid intelligent algorithms that combine the advantages of NSGA-Ⅱand certain other algorithms.Scholars have also proposed a series of optimization algorithms for specific scenarios.With the development of new technologies and computation methods,it will be exciting to construct optimization models that consider uncertainty,heterogeneity,and temporality for large-scale real-world issues and develop generalized solution approaches rather than those applicable to specific scenarios.
文摘Developing a reasonable and efficient emergency material scheduling plan is of great significance to decreasing casualties and property losses.Real-world emergency material scheduling(EMS)problems are typically large-scale and possess complex constraints.An evolutionary algorithm(EA)is one of the effective methods for solving EMS problems.However,the existing EAs still face great challenges when dealing with large-scale EMS problems or EMS problems with equality constraints.To handle the above challenges,we apply the idea of a variable reduction strategy(VRS)to an EMS problem,which can accelerate the optimization process of the used EAs and obtain better solutions by simplifying the corresponding EMS problems.Firstly,we define an emergency material allocation and route scheduling model,and a variable neighborhood search and NSGA-II hybrid algorithm(VNS-NSGAII)is designed to solve the model.Secondly,we utilize VRS to simplify the proposed EMS model to enable a lower dimension and fewer equality constraints.Furthermore,we integrate VRS with VNS-NSGAII to solve the reduced EMS model.To prove the effectiveness of VRS on VNS-NSAGII,we construct two test cases,where one case is based on a multi-depot vehicle routing problem and the other case is combined with the initial 5∙12 Wenchuan earthquake emergency material support situation.Experimental results show that VRS can improve the performance of the standard VNS-NSGAII,enabling better optimization efficiency and a higher-quality solution.
基金supported by the National Key R&D Pro-gram of China (No.2018YFA0305900)the National Natural Science Foundation of China (Nos.11872198,U2030110,51472171,11427810 and 11704014)+8 种基金the Science and Technology Innovation Team of Sichuan Province (No.15CXTD0025)the Key Research Projects of Jingchu University of Technology (Nos.HX202160 and HX2022001)the collaborative project fund between Saudi Aramco and Chengdu Dongwei Technology Co.Ltd (No.4600000955)partially supported by the Shenzhen Science and Technology Program (Nos.JCYJ20190813103201662 and JCYJ20210324121405014)the Key Research Platforms and Research Projects of Universities in Guangdong Province (No.2020ZDZX2035)the Natural Science Foundation of Top Talent of Shenzhen Technology University (SZTU) (No.2019202)the Shenzhen Peacock Plan (No.KQTD2016053019134356)the Guangdong Innovative&Entrepreneurial Research Team Program (No.2016ZT06C279)the Major Science and Technology Infrastructure Project of Material Genome Big-science Facilities Platform supported by Municipal Development and Reform Commission of Shenzhen.
文摘With the development of new synthesis methods and chemistries,a number of new superhard materials have been reported to be harder than diamond.While such materials are highly desirable due to their wide-ranging applications,there are some inherent uncertainties in the methods utilized to determine and define the hardness of such materials.In this paper,we employed the standard Vickers diamond indenter and substitute indenters with the same shape to measure the hardness of nine ceramics and superhard materials within well-defined criteria and methodology,for the assessment of consistency in the hardness testing.The findings and the developed testing method in the current study have broad implications in characterizing new and emerging superhard materials,leading to new discoveries.
文摘AS a consequence of China’s past decades as a planned economy, with its over emphasis on production and neglect of circulation, the country’s material flow has long remained at an undeveloped level, with small-scale operation, poor organization, and a lack of equipment. For too long, production and circulation have been unrelated processes.
基金supported by the National Natural Science Foundation of China(Grant number W2432035)financial support from the EPSRC SWIMS(EP/V039717/1)+3 种基金Royal Society(RGS\R1\221009 and IEC\NSFC\211201)Leverhulme Trust(RPG-2022-263)Ser Cymru programme–Enhancing Competitiveness Equipment Awards 2022-23(MA/VG/2715/22-PN66)the financial support from Kingdom of Saudi Arabia Ministry of Higher Education.
文摘Electrical energy is essential for modern society to sustain economic growths.The soaring demand for the electrical energy,together with an awareness of the environmental impact of fossil fuels,has been driving a shift towards the utilization of solar energy.However,traditional solar energy solutions often require extensive spaces for a panel installation,limiting their practicality in a dense urban environment.To overcome the spatial constraint,researchers have developed transparent photovoltaics(TPV),enabling windows and facades in vehicles and buildings to generate electric energy.Current TPV advancements are focused on improving both transparency and power output to rival commercially available silicon solar panels.In this review,we first briefly introduce wavelength-and non-wavelengthselective strategies to achieve transparency.Figures of merit and theoretical limits of TPVs are discussed to comprehensively understand the status of current TPV technology.Then we highlight recent progress in different types of TPVs,with a particular focus on solution-processed thin-film photovoltaics(PVs),including colloidal quantum dot PVs,metal halide perovskite PVs and organic PVs.The applications of TPVs are also reviewed,with emphasis on agrivoltaics,smart windows and facades.Finally,current challenges and future opportunities in TPV research are pointed out.
基金the Advanced Research Projects Agency-Energy(ARPA-E),U.S.Department of Energy,under award number DE-AR0001209the National Science Foundation(NSF)Division of Materials Research,under award number DMR-2324173(H.Z.,J.M.R.,and W.C.)+1 种基金the Air Force Office of Scientific Research(AFOSR),under award number FA9550-24-1-0301(W.C.)the Ryan Graduate Fellowship(H.Z.).
文摘CONSPECTUS:The increasing demands of sustainable energy,electronics,and biomedical applications call for next-generation functional materials with unprecedented properties.Of particular interest are emerging materials that display exceptional physical properties,making them promising candidates for energy-efficient microelectronic devices.As the conventional Edisonian approach becomes significantly outpaced by growing societal needs,emerging computational modeling and machine learning methods have been employed for the rational design of materials.
基金1.3.5 Project for Disciplines of Excellence,West China Hospital,Sichuan University,Grant/Award Number:ZYJC21047China Postdoctoral Science Foundation,Grant/Award Numbers:2021M692291,2021M692288,2021M702334+8 种基金Fundamental Research Funds for the Central Universities,Grant/Award Numbers:2021SCU12034,2021SCU12013Med-X Center for Materials,Sichuan University,Grant/Award Number:MCM202102National Natural Science Foundation of China,Grant/Award Numbers:82001824,82001829,51903178,81971622,52173133,82102064,82102065,82071938Post-Doctor Research Project,West China Hospital,Sichuan University,Grant/Award Numbers:2020HXBH071,2020HXBH126the National Key R D Program of China,Grant/Award Numbers:2021YFE0205000,2019YFA0110600,2019YFA0110601the Science and Technology Project of Sichuan Province,Grant/Award Numbers:2021YFH0087,2021YFH0135,2021YFS0050,2021YFH0180,2021YJ0434,2021YJ0554,21YYJC2714,21ZDYF376the Science and Technology Project of the Health Planning Committee of Sichuan,Grant/Award Number:20PJ049the State Key Laboratory of Polymer Materials Engineering,Grant/Award Number:sklpme2021-4-02Thousand Youth Talents Plan。
文摘Bioelectronics are powerful tools for monitoring and stimulating biological and biochemical processes,with applications ranging from neural interface simulation to biosensing.The increasing demand for bioelectronics has greatly promoted the development of new nanomaterials as detection platforms.Recently,owing to their ultrathin structures and excellent physicochemical properties,emerging two-dimensional(2D)materials have become one of the most researched areas in the fields of bioelectronics and biosensors.In this timely review,the physicochemical structures of the most representative emerging 2D materials and the design of their nanostructures for engineering highperformance bioelectronic and biosensing devices are presented.We focus on the structural optimization of emerging 2D material-based composites to achieve better regulation for enhancing the performance of bioelectronics.Subsequently,the recent developments of emerging 2D materials in bioelectronics,such as neural interface simulation,biomolecular/biomarker detection,and skin sensors are discussed thoroughly.Finally,we provide conclusive views on the current challenges and future perspectives on utilizing emerging 2D materials and their composites for bioelectronics and biosensors.This review will offer important guidance in designing and applying emerging 2D materials in bioelectronics,thus further promoting their prospects in a wide biomedical field.
文摘The fact that InN has a direct bandgap of 0.75eV enables InN-based nitrides devices to cover the wavelength range from UV region to 1.8μm, therefore, emerging as a new material system for optical communication applications.
文摘The State Council recently printed and distributed the Notice on the‘Development Plan of National Strategic Emerging Industries for the'Thirteenth Five Year Plan'’(The Plan),which made overall deployment and arrangement for development target,key tasks,
基金funded by the Natural Science Foundation of Zhejiang Province,China(No.MS25E080023)the Natural Science Foundation of Ningbo City,China(No.2024J130)+6 种基金the Fundamental Research Funds for the Provincial Universities of Zhejiang(No.SJLY2023009)the National"111"Center on Safety and Intelligent Operation of Sea Bridge(D21013)National Natural Science Foundation of China(Nos.71971059,52262047,52302388,52272334,and 61963011)the Natural Science Foundation of Jiangsu Province,China(No.BK20230853)the Specific Research Project of Guangxi for Research Bases and Talents(No.AD20159035)the Guilin Key R&D Program[No.20210214-1]the Liuzhou Key R&D Program(No.2022AAA0103).
文摘In the context of the COVID-19 epidemic,a"double-hazard scenario"consisting of a natural disaster and a public health event simultaneously accurring is more likely to arise.However,compared with single-hazard,multiple disasters confront the challenges of complexity,diversity,and demand urgency.To improve the efficiency of emergency material distribution under multiple disasters,this study first divided multiple disasters into three categoriles:independent scenario,sequential scenario,and coupling scenario.A set of evaluation index systems for multiple disasters was established to quantify the urgency of demand.The routing optimization model of emergency vehicles for multiple disasters was proposed by combining demand urgency and road damage,and the non-dominated sorting genetic algorithm II(NSGA-I)was used to simulate and validate the model.A coupling scenario considering two typical disasters of hurricanes and epidemics was selected as a validation example,and sensitivity analysis was also performed for different algorithms,scenarios,and constraints.The results demonstrated that the proposed model could effectively address the vehicle routing problem of emer-gency materials in the context of multiple disasters.Compared to the NSGA,the NSGA-II was used to reduce the total delivery time,cost,and penalty cost by 15.98%6,13.60%,and 16.14%,respectively.Compared with the independent scenario,the coupling scenario increased the total delivery time and cost by 186.28%and 132.48%during the epidemic.However,it reduced the total delivery time by 4.00%and increased the delivery cost by 23.55%compared with the hurricane.Compared with the model without consideration,the model considering demand urgency and road damage reduced the total delivery time and cost by 17.88%and 8.73%,respectively.The model constructed in this study addressed the vehicle routing problem considering the demand urgency and road damage in the optimization process,particularly in the context of multiple disasters.
文摘The era of the Artificial Intelligence of Things(AIo T)is defined by the rapid development of electronic devices and systems that seamlessly integrate machine learning algorithms with Internet of Things(Io T)applications.Despite progress in silicon electronics and emerging new materials along the“More Moore”path,the rigid and brittle nature of conventional components struggles to meet the growing and urgent demands of diverse AIo T scenarios,such as embodied intelligence and healthcare.By introducing a new mechanical dimension,flexible electronics offer an attractive“More than Moore”pathway to overcome these limitations.
