With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration wi...With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration within urban spaces and serve as testbeds for exploring smart city planning and governance models.Information models facilitate the effective integration of technology into space.Building Information Modeling(BIM)and City Information Modeling(CIM)have been widely used in urban construction.However,the existing information models have limitations in the application of the park,so it is necessary to develop an information model suitable for the park.This paper first traces the evolution of park smart transformation,reviews the global landscape of smart park development,and identifies key trends and persistent challenges.Addressing the particularities of parks,the concept of Park Information Modeling(PIM)is proposed.PIM leverages smart technologies such as artificial intelligence,digital twins,and collaborative sensing to help form a‘space-technology-system’smart structure,enabling systematic management of diverse park spaces,addressing the deficiency in park-level information models,and aiming to achieve scale articulation between BIM and CIM.Finally,through a detailed top-level design application case study of the Nanjing Smart Education Park in China,this paper illustrates the translation process of the PIM concept into practice,showcasing its potential to provide smart management tools for park managers and enhance services for park stakeholders,although further empirical validation is required.展开更多
The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an over...The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an overwhelming tendency,providing powerful tools for remote health monitoring and personal health management.Among many candidates,two-dimensional(2D)materials stand out due to several exotic mechanical,electrical,optical,and chemical properties that can be efficiently integrated into atomic-thin films.While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene,the rapid development of new 2D materials with exotic properties has opened up novel applications,particularly in smart interaction and integrated functionalities.This review aims to consolidate recent progress,highlight the unique advantages of 2D materials,and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices.We begin with an in-depth analysis of the advantages,sensing mechanisms,and potential applications of 2D materials in wearable biodevice fabrication.Following this,we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body.Special attention is given to showcasing the integration of multi-functionality in 2D smart devices,mainly including self-power supply,integrated diagnosis/treatment,and human–machine interaction.Finally,the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of2D materials for advanced biodevices.展开更多
The accelerating global energy transition,driven by climate imperatives and technological advancements,demands fundamen-tal transformations in power systems.Smart grids,characterized by cyber-physical integration,dist...The accelerating global energy transition,driven by climate imperatives and technological advancements,demands fundamen-tal transformations in power systems.Smart grids,characterized by cyber-physical integration,distributed renewable resources,and data-driven intelligence,have emerged as the backbone of this evolution.This convergence,however,introduces unprecedented complexities in resilience,security,stability,and market operation.This special issue presents five pivotal studies addressing these interconnected challenges,offering novel methodologies and insights to advance the efficiency,resilience,and sustainability of modern power systems.展开更多
Internet of Things(IoT)technology has brought about significant new changes to residents’lives,prompting changes in management models across various industries and promoting the overall intelligence of urban construc...Internet of Things(IoT)technology has brought about significant new changes to residents’lives,prompting changes in management models across various industries and promoting the overall intelligence of urban construction.Especially in the context of continuous technological development,information sensor devices can be effectively utilized to connect multiple dimensions in urban construction,enhancing the intelligence level of cities in China.This paper mainly elaborates on the application significance of IoT technology in smart cities and proposes corresponding measures from aspects such as smart transportation systems,intelligent public utility management,urban safety and monitoring,environmental monitoring,and sustainability,providing references for relevant personnel.展开更多
Currently,most conventional street lighting systems use a constant light mode throughout the entire night,fromsunset to sunrise,which results in high energy consumption and maintenance costs.Furthermore,scientific res...Currently,most conventional street lighting systems use a constant light mode throughout the entire night,fromsunset to sunrise,which results in high energy consumption and maintenance costs.Furthermore,scientific research predicts that energy consumption for street lighting will increase in the coming years due to growing demand and rising electricity prices.The dimming strategy is a current trend and a key concept in smart street lighting systems.It involves turning on the road lights only when a vehicle or pedestrian is detected;otherwise,the control system reduces the light intensity of the lamps.Power control is generally implemented using artificial intelligence algorithms such as fuzzy logic,artificial neural networks,or swarm intelligence to manage different events.In our project,the dimming strategy was utilized to reduce costs and energy consumption by at least 48%.This research proposes a standalone photovoltaic plant(SPP)to power a smart street lighting system,which can replace individual solar street lights in a small neighborhood in southwestern Algeria.This design offers advantages such as lower costs and the option to add additional loads a DC pump,a domestic power supply,or technical services to operate the photovoltaic system during the day after charging the storage batteries,especially when there is monthly energy surplus.The energy surplus analyzed in our project ranges from 804 W in January to 4 kW in June,generated by the entire PV installation.To demonstrate the feasibility and reliability of this system,we studied the implementation of the standalone photovoltaic plant,energymanagement,and economic analysis using the Particle SwarmOptimization technique under MATLAB software.展开更多
In the context of the diversity of smart terminals,the unity of the root of trust becomes complicated,which not only affects the efficiency of trust propagation,but also poses a challenge to the security of the whole ...In the context of the diversity of smart terminals,the unity of the root of trust becomes complicated,which not only affects the efficiency of trust propagation,but also poses a challenge to the security of the whole system.In particular,the solidification of the root of trust in non-volatile memory(NVM)restricts the system’s dynamic updating capability,which is an obvious disadvantage in a rapidly changing security environment.To address this issue,this study proposes a novel approach to generate root security parameters using static random access memory(SRAM)physical unclonable functions(PUFs).SRAM PUFs,as a security primitive,show great potential in lightweight security solutions due to their inherent physical properties,low cost and scalability.However,the stability of SRAM PUFs in harsh environments is a key issue.These environmental conditions include extreme temperatures,high humidity,and strong electromagnetic radiation,all of which can affect the performance of SRAM PUFs.In order to ensure the stability of root safety parameters under these conditions,this study proposes an integrated approach that covers not only the acquisition of entropy sources,but also the implementation of algorithms and configuration management.In addition,this study develops a series of reliability-enhancing algorithms,including adaptive parameter selection,data preprocessing,auxiliary data generation,and error correction,which are essential for improving the performance of SRAM PUFs in harsh environments.Based on these techniques,this study establishes six types of secure parameter generation mechanisms,which not only improve the security of the system,but also enhance its adaptability in variable environments.Through a series of experiments,we verify the effectiveness of the proposed method.Under 10 different environmental conditions,our method is able to achieve full recovery of security data with an error rate of less than 25%,which proves the robustness and reliability of our method.These results not only provide strong evidence for the stability of SRAM PUFs in practical applications,but also provide a new direction for future research in the field of smart terminal security.展开更多
As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)through cyber-physical-social syste...As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)through cyber-physical-social systems(CPSSs)with a human-centric focus.These technologies are organized by the system-wide approach of Industry 5.0,in order to empower the manufacturing industry to achieve broader societal goals of job creation,economic growth,and green production.This survey first provides a general framework of smart manufacturing in the context of Industry 5.0.Wherein,the embodied agents,like robots,sensors,and actuators,are the carriers for Ind AI,facilitating the development of the self-learning intelligence in individual entities,the collaborative intelligence in production lines and factories(smart systems),and the swarm intelligence within industrial clusters(systems of smart systems).Through the framework of CPSSs,the key technologies and their possible applications for supporting the single-agent,multi-agent and swarm-agent embodied Ind AI have been reviewed,such as the embodied perception,interaction,scheduling,multi-mode large language models,and collaborative training.Finally,to stimulate future research in this area,the open challenges and opportunities of applying Industry 5.0 to smart manufacturing are identified and discussed.The perspective of Industry 5.0-driven manufacturing industry aims to enhance operational productivity and efficiency by seamlessly integrating the virtual and physical worlds in a human-centered manner,thereby fostering an intelligent,sustainable,and resilient industrial landscape.展开更多
Construction engineering and management(CEM)has become increasingly complicated with the increasing size of engineering projects under different construction environments,motivating the digital transformation of CEM.T...Construction engineering and management(CEM)has become increasingly complicated with the increasing size of engineering projects under different construction environments,motivating the digital transformation of CEM.To contribute to a better understanding of the state of the art of smart techniques for engineering projects,this paper provides a comprehensive review of multi-criteria decision-making(MCDM)techniques,intelligent techniques,and their applications in CEM.First,a comprehensive framework detailing smart technologies for construction projects is developed.Next,the characteristics of CEM are summarized.A bibliometric review is then conducted to investigate the keywords,journals,and clusters related to the application of smart techniques in CEM during 2000-2022.Recent advancements in intelligent techniques are also discussed under the following six topics:①big data technology;②computer vision;③speech recognition;④natural language processing;⑤machine learning;and⑥knowledge representation,understanding,and reasoning.The applications of smart techniques are then illustrated via underground space exploitation.Finally,future research directions for the sustainable development of smart construction are highlighted.展开更多
Recently,one of the main challenges facing the smart grid is insufficient computing resources and intermittent energy supply for various distributed components(such as monitoring systems for renewable energy power sta...Recently,one of the main challenges facing the smart grid is insufficient computing resources and intermittent energy supply for various distributed components(such as monitoring systems for renewable energy power stations).To solve the problem,we propose an energy harvesting based task scheduling and resource management framework to provide robust and low-cost edge computing services for smart grid.First,we formulate an energy consumption minimization problem with regard to task offloading,time switching,and resource allocation for mobile devices,which can be decoupled and transformed into a typical knapsack problem.Then,solutions are derived by two different algorithms.Furthermore,we deploy renewable energy and energy storage units at edge servers to tackle intermittency and instability problems.Finally,we design an energy management algorithm based on sampling average approximation for edge computing servers to derive the optimal charging/discharging strategies,number of energy storage units,and renewable energy utilization.The simulation results show the efficiency and superiority of our proposed framework.展开更多
During the daytime,conventional radiative coolers disregard the directionality of thermal radiation,thereby overlooking the upward radiation from the ground.This upward radiation enhances the outward thermal radiation...During the daytime,conventional radiative coolers disregard the directionality of thermal radiation,thereby overlooking the upward radiation from the ground.This upward radiation enhances the outward thermal radiation,leading to a substantial reduction in the subambient daytime radiative cooling performance.Conversely,radiative coolers featuring angular asymmetry and spectral selectivity effectively resolve the problem of thermal radiation directionality,successfully evading the interference caused by the ground-generated thermal radiation.This cooler overcomes the limitations posed by the angle of incident light,making it suitable for subambient daytime radiative cooling of vertical surfaces.Furthermore,by adjusting the structure of the cooler,the angular range of thermal radiation can be modulated,enabling the application of radiative cooling technology for intelligent temperature regulation of various inclined surfaces encountered in daily life.This innovative work makes a significant contribution to the development of subambient smart thermal interaction systems and opens up new possibilities for the practical application of radiative cooling.展开更多
Fibers with deformation-triggered responses are essential for smart textiles and wearable electronics.Here,smart core-shell elastomer fibers with a conductive core and a liquid crystal elastomer shell showing simultan...Fibers with deformation-triggered responses are essential for smart textiles and wearable electronics.Here,smart core-shell elastomer fibers with a conductive core and a liquid crystal elastomer shell showing simultaneous resistance and color responses are designed and prepared.The conductive core is consisted of interconnected liquid metal nanodroplets dispersed in a polymer matrix and the elastomer shell is made of cholesteric liquid crystals.When stretched,the fiber resistance increases as the interconnected pathways of liquid metal nanodroplets along the fiber axis become narrower,and the selective reflection color from the fiber surface blueshifts since the cholesteric pitch decreases.The smart elastomer fibers could be woven into smart textiles and respond to various mechanical deformations,including stretching,bending,compression and twisting.The average resistance change is 51%under 100%strain and its variation is smaller than 4%over 500 cycles,showing remarkable fatigue resistance.The simultaneous resistance and color responses to mechanical deformations make the fibers attractive for broad applications,such as flexible electronics.展开更多
Rice has a huge impact on socio-economic growth,and ensuring its sustainability and optimal utilization is vital.This review provides an insight into the role of smart farming in enhancing rice productivity.The applic...Rice has a huge impact on socio-economic growth,and ensuring its sustainability and optimal utilization is vital.This review provides an insight into the role of smart farming in enhancing rice productivity.The applications of smart farming in rice production including yield estimation,smart irrigation systems,monitoring disease and growth,and predicting rice quality and classifications are highlighted.The challenges of smart farming in sustainable rice production to enhance the understanding of researchers,policymakers,and stakeholders are discussed.Numerous efforts have been exerted to combat the issues in rice production in order to promote rice sector development.The effective implementation of smart farming in rice production has been facilitated by various technical advancements,particularly the integration of the Internet of Things and artificial intelligence.The future prospects of smart farming in transforming existing rice production practices are also elucidated.Through the utilization of smart farming,the rice industry can attain sustainable and resilient production systems that could mitigate environmental impact and safeguard food security.Thus,the rice industry holds a bright future in transforming current rice production practices into a new outlook in rice smart farming development.展开更多
By analyzing the complementarity between smart agriculture and farming-reading education,and the advantages of organic combination of the two:addressing the challenges of agricultural modernization and cultivating new...By analyzing the complementarity between smart agriculture and farming-reading education,and the advantages of organic combination of the two:addressing the challenges of agricultural modernization and cultivating new talents;enhancing students interest in learning and improving their sense of responsibility and mission;promoting the inheritance of traditional agricultural culture and modern agricultural technology innovation,the organic combination mode of smart agriculture and farming-reading education in the cultivation of new agricultural talents is explored.The analysis shows that it has the following applications in the cultivation of new agricultural talents:in terms of the integration of educational concepts,it combines the modern concept of smart agriculture with the traditional value of farming-reading education;in terms of constructing a curriculum system and adding courses related to smart agriculture,it retains basic courses in farming-reading education,and promotes interdisciplinary integration;in terms of practical teaching platforms,it establishes smart agriculture training bases and farming-reading education bases,and adopts a combination of virtual and real teaching methods;in terms of guiding innovation and entrepreneurship,it encourages students to participate in innovation and entrepreneurship projects,and strengthens industry-university-research cooperation;in terms of teacher team construction,it improves the quality of the teacher team and integrates educational resources both inside and outside the school.Moreover,its evaluation system and incentive mechanism are proposed:constructing a multi-dimensional evaluation system,combining quantitative and qualitative,process and result evaluation,and introducing the third-party evaluation;establishing scholarships and grants,providing support for innovation and entrepreneurship,conducting honor recognition and publicity,and offering career development support.展开更多
Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical a...Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.展开更多
This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout counters.This is achieved by integ...This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout counters.This is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID system.The enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout process.The potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL algorithm.Subsequently,it was deployed in a small-scale environment to validate its real-world performance.Results show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.展开更多
The multifaceted switches are part of our everyday life from the macroscopic to the molecular world.A molecular switch operating in the solution and in the crystalline state is very different.In this review,we summari...The multifaceted switches are part of our everyday life from the macroscopic to the molecular world.A molecular switch operating in the solution and in the crystalline state is very different.In this review,we summarize the state-of-the-art of smart molecular crystal switches based on molecular martensites.These crystal switches respond to external stimuli and reversibly change between states,retaining their macroscopic integrity.The operation of the switches predominantly relies on temperature alterations or mechanical stress,with emerging methods based on photothermal effects,photoisomerization,and host-vip chemistry.The capability of changing the molecular orientation and interaction in smart molecular crystal switches offers opportunities in several applications,including actuators,reversibly shaping structural materials,optoelectronic and magnetic materials,as well as switchable porous materials.Smart molecular crystal switches have vast potential in modern scientific and technological progress.The ongoing research shapes a rich landscape for innovation and future scientific exploration across diverse disciplines.展开更多
China is in a process of urbanization and is aiming at a type of people-centered urbanization. The main purpose of developing a ＂smart city＂ is to help this type urbanization and to serve the people of the city. Fro...China is in a process of urbanization and is aiming at a type of people-centered urbanization. The main purpose of developing a ＂smart city＂ is to help this type urbanization and to serve the people of the city. From 2012 to 2015, China has chosen more than 300 cities or towns to be national pilot ＂smart cities.＂ These pilot smart cities are located in more than 30 provinces around China, which differ greatly in thousands ways. So we advocated ＂One City One Policy＂. In 2012, MOHURD announced 90 cities as first batch of pilot smart cities. After three years, some pilot cities achieved great progress. This paper introduces five example cities （including town, district） as five different models of China＇ s smart city development. They are- Guilin city; Yunlong demonstration zone; Panyu District; Yangling Agricultural Hi-tech Industries Demonstration Zone; Lecong town. This paper also introduces our standardization work on smart city field at present.展开更多
As an essential part of the industrial Internet of Things(IoT)in power systems,the development of advanced metering infrastructure(AMI)facilitates services such as energy monitoring,load forecasting,and demand respons...As an essential part of the industrial Internet of Things(IoT)in power systems,the development of advanced metering infrastructure(AMI)facilitates services such as energy monitoring,load forecasting,and demand response.However,there is a growing risk of privacy disclosure with the wide installation of smart meters,for they transmit readings and sensitive data simultaneously.To guarantee the confidentiality of the sensitive information and authenticity of smart meter readings,we proposed a privacy-preserving scheme based on digital watermarking and elliptic-curve cryptography(ECC)asymmetric encryption.The sensitive data are encrypted using the public key and are hidden in the collected readings using digital watermark.Only the authorized user can extract watermark and can decrypt the confidential data using its private key.The proposed method realizes secure end-to-end confidentiality of the sensitive information.It has faster computing speed and can verify the data source and ensure the authenticity of readings.The example results show that the proposed method has little influence on the original data and unauthorized access cannot be completed within a reasonable time.On embedded hardware,the processing speed of the proposed method is better than the existing methods.展开更多
Azobenzene and its derivatives are the most extensively investigated and applied molecular photoswitches,which can undergo reversible transformation between trans and cis isomers upon irradiation with light at specifi...Azobenzene and its derivatives are the most extensively investigated and applied molecular photoswitches,which can undergo reversible transformation between trans and cis isomers upon irradiation with light at specific wavelengths.Through structural geometry transformation,the property alterations can be integrated into smart materials to meet diverse application requirements.Most azo-based photo-switches require UV light for activation.However,complete activation within the visible or even near-infrared light range could offer several benefits for photo-switch applications,including improved biocompatibility,better light penetration,and enhanced solar light utilization efficiency.This review presents an overview of the development of visible-light responsive azo-based materials,covering molec-ular design strategies and their applications in energy storage.Recent efforts aimed at enhancing the performance of azo-based energy storage materials are high-lighted.According to the different strategies for improving energy storage prop-erties,these materials are categorized as those that directly increase isomerization energy and those that introduce phase transition energy.Furthermore,we discuss the challenges and opportunities in this field with a view to inspire further exploration.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.42330510)。
文摘With the development of smart cities and smart technologies,parks,as functional units of the city,are facing smart transformation.The development of smart parks can help address challenges of technology integration within urban spaces and serve as testbeds for exploring smart city planning and governance models.Information models facilitate the effective integration of technology into space.Building Information Modeling(BIM)and City Information Modeling(CIM)have been widely used in urban construction.However,the existing information models have limitations in the application of the park,so it is necessary to develop an information model suitable for the park.This paper first traces the evolution of park smart transformation,reviews the global landscape of smart park development,and identifies key trends and persistent challenges.Addressing the particularities of parks,the concept of Park Information Modeling(PIM)is proposed.PIM leverages smart technologies such as artificial intelligence,digital twins,and collaborative sensing to help form a‘space-technology-system’smart structure,enabling systematic management of diverse park spaces,addressing the deficiency in park-level information models,and aiming to achieve scale articulation between BIM and CIM.Finally,through a detailed top-level design application case study of the Nanjing Smart Education Park in China,this paper illustrates the translation process of the PIM concept into practice,showcasing its potential to provide smart management tools for park managers and enhance services for park stakeholders,although further empirical validation is required.
基金the support from the National Natural Science Foundation of China(22272004,62272041)the Fundamental Research Funds for the Central Universities(YWF-22-L-1256)+1 种基金the National Key R&D Program of China(2023YFC3402600)the Beijing Institute of Technology Research Fund Program for Young Scholars(No.1870011182126)。
文摘The proliferation of wearable biodevices has boosted the development of soft,innovative,and multifunctional materials for human health monitoring.The integration of wearable sensors with intelligent systems is an overwhelming tendency,providing powerful tools for remote health monitoring and personal health management.Among many candidates,two-dimensional(2D)materials stand out due to several exotic mechanical,electrical,optical,and chemical properties that can be efficiently integrated into atomic-thin films.While previous reviews on 2D materials for biodevices primarily focus on conventional configurations and materials like graphene,the rapid development of new 2D materials with exotic properties has opened up novel applications,particularly in smart interaction and integrated functionalities.This review aims to consolidate recent progress,highlight the unique advantages of 2D materials,and guide future research by discussing existing challenges and opportunities in applying 2D materials for smart wearable biodevices.We begin with an in-depth analysis of the advantages,sensing mechanisms,and potential applications of 2D materials in wearable biodevice fabrication.Following this,we systematically discuss state-of-the-art biodevices based on 2D materials for monitoring various physiological signals within the human body.Special attention is given to showcasing the integration of multi-functionality in 2D smart devices,mainly including self-power supply,integrated diagnosis/treatment,and human–machine interaction.Finally,the review concludes with a concise summary of existing challenges and prospective solutions concerning the utilization of2D materials for advanced biodevices.
文摘The accelerating global energy transition,driven by climate imperatives and technological advancements,demands fundamen-tal transformations in power systems.Smart grids,characterized by cyber-physical integration,distributed renewable resources,and data-driven intelligence,have emerged as the backbone of this evolution.This convergence,however,introduces unprecedented complexities in resilience,security,stability,and market operation.This special issue presents five pivotal studies addressing these interconnected challenges,offering novel methodologies and insights to advance the efficiency,resilience,and sustainability of modern power systems.
文摘Internet of Things(IoT)technology has brought about significant new changes to residents’lives,prompting changes in management models across various industries and promoting the overall intelligence of urban construction.Especially in the context of continuous technological development,information sensor devices can be effectively utilized to connect multiple dimensions in urban construction,enhancing the intelligence level of cities in China.This paper mainly elaborates on the application significance of IoT technology in smart cities and proposes corresponding measures from aspects such as smart transportation systems,intelligent public utility management,urban safety and monitoring,environmental monitoring,and sustainability,providing references for relevant personnel.
文摘Currently,most conventional street lighting systems use a constant light mode throughout the entire night,fromsunset to sunrise,which results in high energy consumption and maintenance costs.Furthermore,scientific research predicts that energy consumption for street lighting will increase in the coming years due to growing demand and rising electricity prices.The dimming strategy is a current trend and a key concept in smart street lighting systems.It involves turning on the road lights only when a vehicle or pedestrian is detected;otherwise,the control system reduces the light intensity of the lamps.Power control is generally implemented using artificial intelligence algorithms such as fuzzy logic,artificial neural networks,or swarm intelligence to manage different events.In our project,the dimming strategy was utilized to reduce costs and energy consumption by at least 48%.This research proposes a standalone photovoltaic plant(SPP)to power a smart street lighting system,which can replace individual solar street lights in a small neighborhood in southwestern Algeria.This design offers advantages such as lower costs and the option to add additional loads a DC pump,a domestic power supply,or technical services to operate the photovoltaic system during the day after charging the storage batteries,especially when there is monthly energy surplus.The energy surplus analyzed in our project ranges from 804 W in January to 4 kW in June,generated by the entire PV installation.To demonstrate the feasibility and reliability of this system,we studied the implementation of the standalone photovoltaic plant,energymanagement,and economic analysis using the Particle SwarmOptimization technique under MATLAB software.
基金supported by National key Research and Development Program“Security Protection Technology for Critical Information Infrastructure of Distribution Network”(2022YFB3105100).
文摘In the context of the diversity of smart terminals,the unity of the root of trust becomes complicated,which not only affects the efficiency of trust propagation,but also poses a challenge to the security of the whole system.In particular,the solidification of the root of trust in non-volatile memory(NVM)restricts the system’s dynamic updating capability,which is an obvious disadvantage in a rapidly changing security environment.To address this issue,this study proposes a novel approach to generate root security parameters using static random access memory(SRAM)physical unclonable functions(PUFs).SRAM PUFs,as a security primitive,show great potential in lightweight security solutions due to their inherent physical properties,low cost and scalability.However,the stability of SRAM PUFs in harsh environments is a key issue.These environmental conditions include extreme temperatures,high humidity,and strong electromagnetic radiation,all of which can affect the performance of SRAM PUFs.In order to ensure the stability of root safety parameters under these conditions,this study proposes an integrated approach that covers not only the acquisition of entropy sources,but also the implementation of algorithms and configuration management.In addition,this study develops a series of reliability-enhancing algorithms,including adaptive parameter selection,data preprocessing,auxiliary data generation,and error correction,which are essential for improving the performance of SRAM PUFs in harsh environments.Based on these techniques,this study establishes six types of secure parameter generation mechanisms,which not only improve the security of the system,but also enhance its adaptability in variable environments.Through a series of experiments,we verify the effectiveness of the proposed method.Under 10 different environmental conditions,our method is able to achieve full recovery of security data with an error rate of less than 25%,which proves the robustness and reliability of our method.These results not only provide strong evidence for the stability of SRAM PUFs in practical applications,but also provide a new direction for future research in the field of smart terminal security.
基金supported by the National Key Research and Development Program of China(2021YFB1714300)the National Natural Science Foundation of China(62233005,U2441245,62173141)+3 种基金CNPC Innovation Found(2024DQ02-0507)Shanghai Natural Science(24ZR1416400)Shanghai Baiyu Lan Talent Program Pujiang Project(24PJD020)the Programme of Introducing Talents of Discipline to Universities(the 111 Project)(B17017)
文摘As embodied intelligence(EI),large language models(LLMs),and cloud computing continue to advance,Industry5.0 facilitates the development of industrial artificial intelligence(Ind AI)through cyber-physical-social systems(CPSSs)with a human-centric focus.These technologies are organized by the system-wide approach of Industry 5.0,in order to empower the manufacturing industry to achieve broader societal goals of job creation,economic growth,and green production.This survey first provides a general framework of smart manufacturing in the context of Industry 5.0.Wherein,the embodied agents,like robots,sensors,and actuators,are the carriers for Ind AI,facilitating the development of the self-learning intelligence in individual entities,the collaborative intelligence in production lines and factories(smart systems),and the swarm intelligence within industrial clusters(systems of smart systems).Through the framework of CPSSs,the key technologies and their possible applications for supporting the single-agent,multi-agent and swarm-agent embodied Ind AI have been reviewed,such as the embodied perception,interaction,scheduling,multi-mode large language models,and collaborative training.Finally,to stimulate future research in this area,the open challenges and opportunities of applying Industry 5.0 to smart manufacturing are identified and discussed.The perspective of Industry 5.0-driven manufacturing industry aims to enhance operational productivity and efficiency by seamlessly integrating the virtual and physical worlds in a human-centered manner,thereby fostering an intelligent,sustainable,and resilient industrial landscape.
基金funded by the project of Guangdong Provincial Basic and Applied Basic Research Fund Committee(2022A1515240073)the Pearl River Talent Recruitment Program(2019CX01G338),Guangdong Province.
文摘Construction engineering and management(CEM)has become increasingly complicated with the increasing size of engineering projects under different construction environments,motivating the digital transformation of CEM.To contribute to a better understanding of the state of the art of smart techniques for engineering projects,this paper provides a comprehensive review of multi-criteria decision-making(MCDM)techniques,intelligent techniques,and their applications in CEM.First,a comprehensive framework detailing smart technologies for construction projects is developed.Next,the characteristics of CEM are summarized.A bibliometric review is then conducted to investigate the keywords,journals,and clusters related to the application of smart techniques in CEM during 2000-2022.Recent advancements in intelligent techniques are also discussed under the following six topics:①big data technology;②computer vision;③speech recognition;④natural language processing;⑤machine learning;and⑥knowledge representation,understanding,and reasoning.The applications of smart techniques are then illustrated via underground space exploitation.Finally,future research directions for the sustainable development of smart construction are highlighted.
基金supported in part by the National Natural Science Foundation of China under Grant No.61473066in part by the Natural Science Foundation of Hebei Province under Grant No.F2021501020+2 种基金in part by the S&T Program of Qinhuangdao under Grant No.202401A195in part by the Science Research Project of Hebei Education Department under Grant No.QN2025008in part by the Innovation Capability Improvement Plan Project of Hebei Province under Grant No.22567637H
文摘Recently,one of the main challenges facing the smart grid is insufficient computing resources and intermittent energy supply for various distributed components(such as monitoring systems for renewable energy power stations).To solve the problem,we propose an energy harvesting based task scheduling and resource management framework to provide robust and low-cost edge computing services for smart grid.First,we formulate an energy consumption minimization problem with regard to task offloading,time switching,and resource allocation for mobile devices,which can be decoupled and transformed into a typical knapsack problem.Then,solutions are derived by two different algorithms.Furthermore,we deploy renewable energy and energy storage units at edge servers to tackle intermittency and instability problems.Finally,we design an energy management algorithm based on sampling average approximation for edge computing servers to derive the optimal charging/discharging strategies,number of energy storage units,and renewable energy utilization.The simulation results show the efficiency and superiority of our proposed framework.
基金supported by the National Natural Science Foundation of China(52473270 and T2422028)the China Postdoctoral Science Foundation(2024M763485)+1 种基金the National Key R&D Program of China(2022YFA1203304)the Suzhou Institute of Nano-Tech and Nano-Bionics,Chinese Academy of Sciences(start-up grant E1552102).
文摘During the daytime,conventional radiative coolers disregard the directionality of thermal radiation,thereby overlooking the upward radiation from the ground.This upward radiation enhances the outward thermal radiation,leading to a substantial reduction in the subambient daytime radiative cooling performance.Conversely,radiative coolers featuring angular asymmetry and spectral selectivity effectively resolve the problem of thermal radiation directionality,successfully evading the interference caused by the ground-generated thermal radiation.This cooler overcomes the limitations posed by the angle of incident light,making it suitable for subambient daytime radiative cooling of vertical surfaces.Furthermore,by adjusting the structure of the cooler,the angular range of thermal radiation can be modulated,enabling the application of radiative cooling technology for intelligent temperature regulation of various inclined surfaces encountered in daily life.This innovative work makes a significant contribution to the development of subambient smart thermal interaction systems and opens up new possibilities for the practical application of radiative cooling.
基金supported by the National Natural Science Foundation of China(No.22278352)National Key Research and Development Program of China(No.2021YFC3001100)。
文摘Fibers with deformation-triggered responses are essential for smart textiles and wearable electronics.Here,smart core-shell elastomer fibers with a conductive core and a liquid crystal elastomer shell showing simultaneous resistance and color responses are designed and prepared.The conductive core is consisted of interconnected liquid metal nanodroplets dispersed in a polymer matrix and the elastomer shell is made of cholesteric liquid crystals.When stretched,the fiber resistance increases as the interconnected pathways of liquid metal nanodroplets along the fiber axis become narrower,and the selective reflection color from the fiber surface blueshifts since the cholesteric pitch decreases.The smart elastomer fibers could be woven into smart textiles and respond to various mechanical deformations,including stretching,bending,compression and twisting.The average resistance change is 51%under 100%strain and its variation is smaller than 4%over 500 cycles,showing remarkable fatigue resistance.The simultaneous resistance and color responses to mechanical deformations make the fibers attractive for broad applications,such as flexible electronics.
基金The authors wish to acknowledge the Ministry of Higher Education,Malaysia for financial support via the Transdisciplinary Research Grant Scheme Project(Grant No.TRGS/1/2020/UPM/02/7).
文摘Rice has a huge impact on socio-economic growth,and ensuring its sustainability and optimal utilization is vital.This review provides an insight into the role of smart farming in enhancing rice productivity.The applications of smart farming in rice production including yield estimation,smart irrigation systems,monitoring disease and growth,and predicting rice quality and classifications are highlighted.The challenges of smart farming in sustainable rice production to enhance the understanding of researchers,policymakers,and stakeholders are discussed.Numerous efforts have been exerted to combat the issues in rice production in order to promote rice sector development.The effective implementation of smart farming in rice production has been facilitated by various technical advancements,particularly the integration of the Internet of Things and artificial intelligence.The future prospects of smart farming in transforming existing rice production practices are also elucidated.Through the utilization of smart farming,the rice industry can attain sustainable and resilient production systems that could mitigate environmental impact and safeguard food security.Thus,the rice industry holds a bright future in transforming current rice production practices into a new outlook in rice smart farming development.
文摘By analyzing the complementarity between smart agriculture and farming-reading education,and the advantages of organic combination of the two:addressing the challenges of agricultural modernization and cultivating new talents;enhancing students interest in learning and improving their sense of responsibility and mission;promoting the inheritance of traditional agricultural culture and modern agricultural technology innovation,the organic combination mode of smart agriculture and farming-reading education in the cultivation of new agricultural talents is explored.The analysis shows that it has the following applications in the cultivation of new agricultural talents:in terms of the integration of educational concepts,it combines the modern concept of smart agriculture with the traditional value of farming-reading education;in terms of constructing a curriculum system and adding courses related to smart agriculture,it retains basic courses in farming-reading education,and promotes interdisciplinary integration;in terms of practical teaching platforms,it establishes smart agriculture training bases and farming-reading education bases,and adopts a combination of virtual and real teaching methods;in terms of guiding innovation and entrepreneurship,it encourages students to participate in innovation and entrepreneurship projects,and strengthens industry-university-research cooperation;in terms of teacher team construction,it improves the quality of the teacher team and integrates educational resources both inside and outside the school.Moreover,its evaluation system and incentive mechanism are proposed:constructing a multi-dimensional evaluation system,combining quantitative and qualitative,process and result evaluation,and introducing the third-party evaluation;establishing scholarships and grants,providing support for innovation and entrepreneurship,conducting honor recognition and publicity,and offering career development support.
基金supported by the National Nature Science Foundation of China under 62203376the Science and Technology Plan of Hebei Education Department under QN2021139+1 种基金the Nature Science Foundation of Hebei Province under F2021203043the Open Research Fund of Jiangsu Collaborative Innovation Center for Smart Distribution Network,Nanjing Institute of Technology under No.XTCX202203.
文摘Owing to the integration of energy digitization and artificial intelligence technology,smart energy grids can realize the stable,efficient and clean operation of power systems.However,the emergence of cyber-physical attacks,such as dynamic load-altering attacks(DLAAs)has introduced great challenges to the security of smart energy grids.Thus,this study developed a novel cyber-physical collaborative security framework for DLAAs in smart energy grids.The proposed framework integrates attack prediction in the cyber layer with the detection and localization of attacks in the physical layer.First,a data-driven method was proposed to predict the DLAA sequence in the cyber layer.By designing a double radial basis function network,the influence of disturbances on attack prediction can be eliminated.Based on the prediction results,an unknown input observer-based detection and localization method was further developed for the physical layer.In addition,an adaptive threshold was designed to replace the traditional precomputed threshold and improve the detection performance of the DLAAs.Consequently,through the collaborative work of the cyber-physics layer,injected DLAAs were effectively detected and located.Compared with existing methodologies,the simulation results on IEEE 14-bus and 118-bus power systems verified the superiority of the proposed cyber-physical collaborative detection and localization against DLAAs.
基金funding from Universiti Malaya and Ministry of High Education-Malaysia under Research Grant FRGS/1/2023/TK10/UM/02/3 and GPF 020A-2023supported by Researchers Supporting Project Number(RSPD2024 R803).
文摘This paper presents a smart checkout system designed to mitigate the issues of noise and errors present in the existing barcode and RFID-based systems used at retail stores’checkout counters.This is achieved by integrating a novel AI algorithm,called Improved Laser Simulator Logic(ILSL)into the RFID system.The enhanced RFID system was able to improve the accuracy of item identification,reduce noise interference,and streamline the overall checkout process.The potential of the systemfor noise detection and elimination was initially investigated through a simulation study usingMATLAB and ILSL algorithm.Subsequently,it was deployed in a small-scale environment to validate its real-world performance.Results show that RFID with the proposed new algorithm ILSL and AI basket is capable of accurately detecting the related itemswhile eliminating noise originating fromunrelated objects,achieving an accuracy rate of 88%.
基金supported by the National Natural Science Foundation of China(51773077 and 52173164 H.Z)the Natural Science Foundation of Jilin Province(20230101038JC,H.Z)+1 种基金a fund from New York University Abu Dhabi(P.N)This material is based upon works supported by Tamkeen under NYUAD RRC Grant No.CG011.
文摘The multifaceted switches are part of our everyday life from the macroscopic to the molecular world.A molecular switch operating in the solution and in the crystalline state is very different.In this review,we summarize the state-of-the-art of smart molecular crystal switches based on molecular martensites.These crystal switches respond to external stimuli and reversibly change between states,retaining their macroscopic integrity.The operation of the switches predominantly relies on temperature alterations or mechanical stress,with emerging methods based on photothermal effects,photoisomerization,and host-vip chemistry.The capability of changing the molecular orientation and interaction in smart molecular crystal switches offers opportunities in several applications,including actuators,reversibly shaping structural materials,optoelectronic and magnetic materials,as well as switchable porous materials.Smart molecular crystal switches have vast potential in modern scientific and technological progress.The ongoing research shapes a rich landscape for innovation and future scientific exploration across diverse disciplines.
文摘China is in a process of urbanization and is aiming at a type of people-centered urbanization. The main purpose of developing a ＂smart city＂ is to help this type urbanization and to serve the people of the city. From 2012 to 2015, China has chosen more than 300 cities or towns to be national pilot ＂smart cities.＂ These pilot smart cities are located in more than 30 provinces around China, which differ greatly in thousands ways. So we advocated ＂One City One Policy＂. In 2012, MOHURD announced 90 cities as first batch of pilot smart cities. After three years, some pilot cities achieved great progress. This paper introduces five example cities （including town, district） as five different models of China＇ s smart city development. They are- Guilin city; Yunlong demonstration zone; Panyu District; Yangling Agricultural Hi-tech Industries Demonstration Zone; Lecong town. This paper also introduces our standardization work on smart city field at present.
基金Project(SGZJHZ00HLJS2000871)supported by the State Grid Science and Technology Project,China。
文摘As an essential part of the industrial Internet of Things(IoT)in power systems,the development of advanced metering infrastructure(AMI)facilitates services such as energy monitoring,load forecasting,and demand response.However,there is a growing risk of privacy disclosure with the wide installation of smart meters,for they transmit readings and sensitive data simultaneously.To guarantee the confidentiality of the sensitive information and authenticity of smart meter readings,we proposed a privacy-preserving scheme based on digital watermarking and elliptic-curve cryptography(ECC)asymmetric encryption.The sensitive data are encrypted using the public key and are hidden in the collected readings using digital watermark.Only the authorized user can extract watermark and can decrypt the confidential data using its private key.The proposed method realizes secure end-to-end confidentiality of the sensitive information.It has faster computing speed and can verify the data source and ensure the authenticity of readings.The example results show that the proposed method has little influence on the original data and unauthorized access cannot be completed within a reasonable time.On embedded hardware,the processing speed of the proposed method is better than the existing methods.
基金National Natural Science Foundation of China(22108026,22178050)the Young Elite Scientists Sponsorship Program by CAST(2021QNRC001)+2 种基金the Natural Science Foundation of Liaoning Province(2022-BS-091)the Dalian Science and Technology Innovation Fund Young Tech Star(2022RQ008)the Fundamental Research Funds for the Central Universities(DUT22LAB610).
文摘Azobenzene and its derivatives are the most extensively investigated and applied molecular photoswitches,which can undergo reversible transformation between trans and cis isomers upon irradiation with light at specific wavelengths.Through structural geometry transformation,the property alterations can be integrated into smart materials to meet diverse application requirements.Most azo-based photo-switches require UV light for activation.However,complete activation within the visible or even near-infrared light range could offer several benefits for photo-switch applications,including improved biocompatibility,better light penetration,and enhanced solar light utilization efficiency.This review presents an overview of the development of visible-light responsive azo-based materials,covering molec-ular design strategies and their applications in energy storage.Recent efforts aimed at enhancing the performance of azo-based energy storage materials are high-lighted.According to the different strategies for improving energy storage prop-erties,these materials are categorized as those that directly increase isomerization energy and those that introduce phase transition energy.Furthermore,we discuss the challenges and opportunities in this field with a view to inspire further exploration.
