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实时操作系统RT-Thread Smart在STM32MP1上的移植 认领 引用 被引量：8
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作者 马后权 施华君 《单片机与嵌入式系统应用》 2021年第8期14-18,共5页
RT-Thread Smart是基于RT-Thread操作系统衍生的新分支,面向带MMU的中高端应用芯片。RT-Thread Smart在RT-Thread操作系统的基础上启用独立、完整的进程方式,同时以混合微内核模式执行。RT-Thread Smart的开发与一般的单片机开发不同,... RT-Thread Smart是基于RT-Thread操作系统衍生的新分支,面向带MMU的中高端应用芯片。RT-Thread Smart在RT-Thread操作系统的基础上启用独立、完整的进程方式,同时以混合微内核模式执行。RT-Thread Smart的开发与一般的单片机开发不同,一般在单片机程序里不使用操作系统或者操作系统和应用程序链接在一起。RT-Thread Smart和Windows、Linux等国外知名操作系统有着类似的功能,而RT-Thread Smart作为最新推出的RTOS,它支持的芯片还不够多。RT-Thread Smart非常优秀,为STM32MP157芯片移植RT-Thread Smart可以完善该操作系统的应用环境,为国产RTOS的发展贡献一份力量。 展开更多
关键词 RT-Thread Smart 驱动 串口 移植 时钟 STM32MP157
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RT-Thread Smart 微内核操作系统概述 认领 引用 被引量：4
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作者 熊谱翔 全召 《单片机与嵌入式系统应用》 2021年第3期9-12,17,共4页
RT-Thread Smart采用微内核的设计思想,将操作系统自身的服务组件从内核中剥离出来,在用户态以进程的形式运行,避免服务组件的错误造成内核崩溃,提高系统整体的稳定性和可靠性。另一方面,依据用户配置选项,RT-Thread Smart继续支持将组... RT-Thread Smart采用微内核的设计思想,将操作系统自身的服务组件从内核中剥离出来,在用户态以进程的形式运行,避免服务组件的错误造成内核崩溃,提高系统整体的稳定性和可靠性。另一方面,依据用户配置选项,RT-Thread Smart继续支持将组件编译进内核中,以获得更佳的性能和向下兼容性。为了支持这些特性,RT-Thread Smart实现了对MMU和进程管理的支持,并通过通道机制来完成内核和用户态进程间的数据交换。 展开更多
关键词 微内核 RT-Thread RT-Thread Smart MMU 进程管理 共享页面
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Nanostructure-dependent colouration efficiency of electrochromic coatings using 0D,1D,and 2D WO3 for smart windows 认领 引用 被引量：3
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作者 Mahnaz Dadkhah Md Julker Nine +2 位作者 Kosala Purasinhala Gurleen Singh Sandhu Dusan Losic 《Nano Materials Science》 EI CAS CSCD 2026年第2期255-263,共9页
Towards the development of highly efficient electrochromic coatings,the crystallinity,morphology(e.g.size and shape)of electrochromic nanomaterials,and their charge insertion capacities play a significant role.Herein,... Towards the development of highly efficient electrochromic coatings,the crystallinity,morphology(e.g.size and shape)of electrochromic nanomaterials,and their charge insertion capacities play a significant role.Herein,we report the structure-dependent colouration effciency in electrochromic coatings based on the use of 0D,1D and 2D tungsten trioxide(WO3)nanostructures.A series of WO3with different nanostructures were prepared and used as working electrodes to fabricate electrochromic devices for smart windows applications.Facile spray coating was applied on fluorine-doped tin oxide(FTO)substrate to make~70%transparent working electrodes to investigate their charge insertion capacities,electrochromic active surface area,and colouration efficiency.Results showed that the 2D WO3nanoflakes displayed the highest diffusion coefficient for the intercalation of 1.52×10-10cm2/s with an increased electrochemical active surface area of 25.10 mF/cm2,a large modulation of optical reflectance(42.63%)with 3.79 s shorter response time for bleaching and a greater colouration efficiency(CE)value(89.29 cm2/C)at 700 nm compared to the CE value for 1D WO3(of 22 cm2/C)and 0D WO3(8 cm2/C).The outcome of this study provides a new insight and valuable contribution to design an efficient electrochromic coating by controlling and optimising the nanostructures of selective electrochromic materials. 展开更多
关键词 Electrochromic devices Smart window WO3 nanostructures Colouration efficiency Spray coating
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AI-driven design of powder-based nanomaterials for smart textiles: from data intelligence to system integration 认领 引用 被引量：3
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作者 Zihui Liang Yun Deng +12 位作者 Zhicheng Shi Xiaohong Liao Huiyi Zong Lizhi Ren Xiangzhe Li Xinyao Zeng Peiying Hu Wei Ke Bing Wu Kai Wang Jin Qian Weilin Xu Fengxiang Chen 《Advanced Powder Materials》 EI CAS CSCD 2026年第1期39-63,共25页
Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in... Artificial intelligence(AI)is emerging as a transformative enabler in the development of smart textile systems,particularly those integrating powder-based functional materials.This review highlights recent progress in AIguided design of carbon nanomaterials,metallic nanoparticles,and framework-based powders for applications in energy harvesting,intelligent sensing,and robotic actuation.Machine learning techniques,including supervised learning,transfer learning,and Bayesian optimization are discussed for accelerating materials discovery,enhancing integration strategies,and enabling real-time adaptive control.Emphasis is placed on how AI enables multifunctional,wearable platforms that sense,process,and respond to environmental and physiological cues with high accuracy and autonomy.Representative breakthroughs in soft robotics,haptic interfaces,and assistive devices are presented,demonstrating the synergy of AI and responsive textiles.Finally,the review outlines key challenges related to data scarcity,model generalizability,manufacturing scalability,and sustainability,while proposing future directions involving multimodal learning,autonomous experimentation,and ethics-aware design.This work offers a comprehensive outlook on next-generation AI-driven textile systems that seamlessly integrate intelligence,functionality,and wearability. 展开更多
关键词 Smart textiles Artificial intelligence Powder-based functional materials Machine learning AI-driven textile system
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New opportunities of stimulus-responsive smart nanocarriers in cancer therapy 认领 引用 被引量：1
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作者 Xiaohui Liu Fang He Min Liu 《Nano Materials Science》 EI CAS CSCD 2026年第3期710-726,共17页
Achieving precise delivery has always been a key challenge in the development of nanomedicine to treat cancer.Intelligent stimulus-responsive nanocarriers imbued with fascinating features such as excellent targeting a... Achieving precise delivery has always been a key challenge in the development of nanomedicine to treat cancer.Intelligent stimulus-responsive nanocarriers imbued with fascinating features such as excellent targeting ability,high drug loading capacity,and targeted on-demand release emerging as an attractive tool in cancer therapy.Given the intricacy of the dynamic intracellular and extracellular environment of tumor,different strategies can be employed to design responsive nanomaterials to make them activable upon internal bio-stimuli(pH,redox,and enzymes)or external stimuli(ultrasound,light,temperature,and magnetic),respectively.Simultaneously,by virtue of precisely release at tumor-specific sites,smart nanocarriers have enabled remarkable progress in therapeutics delivery for cancer treatment.In this review,we outline emerging design concepts for elaborately creating novel nanocarriers that respond to internal or external stimuli.And we define critical steps along with the road of preclinical development and propose suggestions to circumvent the obstacle in technology and fabrication for clinical translation.Furthermore,future opportunities across cancer therapy are explored. 展开更多
关键词 Endogenous stimulus Exogenous stimulus Smart nanocarriers Cancer therapy
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Smart Biomaterials and Dressings for the Treatment of Chronic Inflammatory Skin Diseases 认领 引用
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作者 Zehao Lan Shengjie Xue +3 位作者 Junyi Yin Shaolei Wang Yunlei Zhou Jieyue Liao 《Rare Metals》 SCIE EI CAS CSCD 2026年第2期82-108,共27页
Chronic inflammatory skin diseases,encompassing immune-inflammatory conditions and infection-associated dermatoses,pose significant clinical challenges due to high prevalence,recurrence,and therapeutic resistance,affe... Chronic inflammatory skin diseases,encompassing immune-inflammatory conditions and infection-associated dermatoses,pose significant clinical challenges due to high prevalence,recurrence,and therapeutic resistance,affect over 30%of the global population.While topical medications are fundamental,their efficacy is often limited by variable drug absorption,patientspecific dosing needs,and the dynamic complexity of inflammatory microenvironments.This underscores the urgent need for advanced localized treatments that adapt to disease fluctuations while minimizing adverse effects.Smart dressings,engineered using stimuli-responsive materials and microdevice integration,offer a transformative solution.Evolving beyond singlestimulus responsiveness,modern smart dressings can simultaneously respond to diverse stimuli with prolonged effectiveness,enhancing compatibility with chronic disease management.This review systematically categorizes and evaluates smart dressing technologies based on their activation mechanisms:exogenous stimuli-activated(electric/magnetic fields,light,ultrasound,and water),endogenous biochemical signals-responsive,and pathogen-specific targeted.Cutting-edge developments in multimodal responsive interfaces and self-powered devices are critically examined for their potential to synchronize therapy with evolving pathology.The review analyzes the strengths and limitations of current technologies and proposes future directions,including single materials with multi-stimuli responsiveness and therapeutic dressings integrated with closed-loop biomarker monitoring and AI-driven drug adjustment algorithms. 展开更多
关键词 chronic inflammatory skin diseases multiple stimuli responsiveness self-powered dressings smart biomaterials smart dressings
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Amphiphilic Block Copolymer-Functionalized VO2Nanocomposites for Smart Waterborne Polyurethane Coatings 认领 引用
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作者 Xiuxian Zhao Junhua Sun +7 位作者 Shudi Ying Rongchuang Geng Jiajia Feng Jiachen Ma Riming Hu Panpan Zhao Xuchuan Jiang Zheng Liu 《Rare Metals》 SCIE EI CAS CSCD 2026年第3期810-824,共15页
Aqueous vanadium dioxide(VO2)-based smart thermal insulation coatings represent a viable strategy to decrease building energy consumption and advance sustainable development goals.However,the inherent instability a... Aqueous vanadium dioxide(VO2)-based smart thermal insulation coatings represent a viable strategy to decrease building energy consumption and advance sustainable development goals.However,the inherent instability and limited compatibility with polymer matrices of VO2hinder its widespread application.Herein,a core-shell structured nanocomposite,VO2@poly(hexafluorobutyl methacrylate-block-N,N-dimethylacrylamide)(VO2@PHFBMA-b-PDMA),is developed and applied to waterbased intelligent coatings.The experimental results show that the designed block copolymer shell PHFBMA-b-PDMA not only has excellent acid and oxidation resistance but also improves the water dispersion stability of VO2,ensuring the compatibility between VO2and the organic polymer matrix.Moreover,the shell can effectively increase the carrier concentration in VO2,thereby significantly enhancing the local surface plasmon resonance effect and giving it excellent optical performance.By optimizing the formula and incorporating the VO2@PHFBMA-b-PDMA nanocomposites into water-based polyurethane resins,the resulting coating exhibits excellent adhesion,high hardness,and strong resistance to thermal cycling and ultraviolet aging.In addition,the coating has significant thermochromic properties,which can transmit nearinfrared radiation at low temperatures and effectively shield near-infrared radiation at high temperatures.Compared with uncoated glass,the designed coated glass can reduce indoor temperature by approximately 5℃. 展开更多
关键词 aqueous smart coatings core-shell structure energy-saving thermochromic vanadium dioxide
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A certificateless and KGA-secure searchable encryption scheme with constant trapdoors in smart city 认领 引用
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作者 Hongjun Li Debiao He +2 位作者 P.Vijayakumar Fayez Alqahtani Amr Tolba 《Digital Communications and Networks》 SCIE EI CSCD 2026年第1期198-209,共12页
Smart cities,as a typical application in the field of the Internet of Things,can combine cloud computing to realize the intelligent control of objects and process massive data.While cloud computing brings convenience ... Smart cities,as a typical application in the field of the Internet of Things,can combine cloud computing to realize the intelligent control of objects and process massive data.While cloud computing brings convenience to smart city services,a serious problem is ensuring that confidential data cannot be leaked to malicious adversaries.Considering the security and privacy of data,data owners transmit sensitive data in its encrypted form to cloud server,which seriously hinders the improvements of potential utilization and efficient sharing.Public key searchable encryption ensures that users can securely retrieve the encrypted data without decryption.However,most existing schemes cannot resist keyword guessing attacks or the size of trapdoors linearly increases with the number of data owners.In this work,by utilizing certificateless encryption and proxy re-encryption,we design an authenticated searchable encryption scheme with constant trapdoors.The designed scheme preserves the privacy of index ciphertexts and keyword trapdoors,and can resist keyword guessing attacks.In addition,data users can generate and upload trapdoors with lower computation and communication overheads.We show that the proposed scheme is suitable for smart city implementations and applications by experimentally evaluating its performance. 展开更多
关键词 Smart city Data retrieval Privacy protection Certificateless cryptography
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基于SMART原则的“4+X”护士长综合目标考核方案的构建及应用 认领 引用
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作者 陈琴芬 陈敏华 +2 位作者 陈圆圆 金丽红 李晓芬 《护理实践与研究》 2026年第2期192-200,共9页
目的探讨基于SMART原则的“4+X”护士长综合目标考核方案的建立及应用效果。方法成立护士长综合目标考核领导小组,以医院发展规划、关键业绩指标法(KPI)理论为指导,遵循SMART原则制定“4+X”护士长综合目标考核标准。按照考核标准对全... 目的探讨基于SMART原则的“4+X”护士长综合目标考核方案的建立及应用效果。方法成立护士长综合目标考核领导小组,以医院发展规划、关键业绩指标法(KPI)理论为指导,遵循SMART原则制定“4+X”护士长综合目标考核标准。按照考核标准对全院49名护士长进行核心能力考核,比较实施前后护士长护理管理各维度及满意度评分。结果“4+X”护士长综合目标考核实施1年后(2023年)护理安全、护理教学科研、团队建设、岗位胜任能力、护理服务质量关键指标得分高于实施前1年(2022年),差异有统计学意义(P<0.05);“4+X”护士长综合目标考核实施1年后(2023年)医生对护士满意度、护士对工作满意度、护士对护士长满意度、上级对护士长满意度、患者对护理工作满意度得分均高于实施前,差异具有统计学意义(P<0.05)。结论由护理安全、护理教学科研、团队建设、岗位胜任力维度考核指标和护理单元护理服务质量关键指标组成的“4+X”的护士长综合考核模式更具客观性、公平性、指向性,有利于提高护士长管理水平、护理质量和护理科研能力,以防止不良事件的发生,提升患者满意度。 展开更多
关键词 SMART原则 “4+X”护士长综合目标考核方案 护理服务质量 业绩指标 岗位胜任力 护理安全
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FedGNN:Federated Graph Neural Networks for Privacy-Preserving Cyber-Resilient Energy Optimization in IoT-Based Smart Grids 认领 引用
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作者 Alanoud Al Mazroa Fahad Masood +3 位作者 Bakri Hussain Awaji Mohammad Alhefdi Abeer Aljohani Jawad Ahmad 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期1462-1483,共22页
The rapid integration of Internet of Things(IoT)devices and distributed energy resources into smart grids has improved monitoring,control,and energy efficiency.However,it also exposes the grid to cyberattacks and priv... The rapid integration of Internet of Things(IoT)devices and distributed energy resources into smart grids has improved monitoring,control,and energy efficiency.However,it also exposes the grid to cyberattacks and privacy risks,as increased connectivity and data exchange can significantly disrupt energy management and system stability.Studies focused on centralized cybersecurity mechanisms that lacked scalability and did not emphasize the inherent graph structure of power networks.This study proposes a privacy-preserving and cyber-resilient energy-optimization framework,FedGNN,for IoT-enabled smart grids that jointly integrates federated learning,graph neural network-based trust inference,and trust-aware energy dispatch.The framework dynamically learns node-level trust scores from multifeature measurements,including load,voltage,frequency,renewable generation,and battery storage,and incorporates them into real-time energy optimization.Results demonstrate that the proposed approach improves system resilience up to 12%,mitigates the impact of compromised nodes,and maintains operational reliability,while preserving the privacy of distributed data.A comparative analysis with baseline methods shows the proposed framework's superior performance in energy deviation,resilience,and trust-aware decision-making.The results highlight the potential of integrating AI-driven trust mechanisms with federated learning for secure and efficient energy management in future IoT-enabled smart grids. 展开更多
关键词 Cyber security energy optimization graph neural networks IoT smart grids
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Vision-Language Model-Based Human-Guided Mobile Robot Navigation in an Unstructured Environment for Human-Centric Smart Manufacturing 认领 引用
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作者 Tian Wang Junming Fan +2 位作者 Pai Zheng Ruqiang Yan Lihui Wang 《Engineering》 SCIE EI CSCD 2026年第7期229-239,共11页
In smart manufacturing, autonomous mobile robots play an indispensable role in conducting inspection and material handling operations, yet they face significant limitations regarding adaptability and resilience within... In smart manufacturing, autonomous mobile robots play an indispensable role in conducting inspection and material handling operations, yet they face significant limitations regarding adaptability and resilience within unstructured environments. Vision and language navigation (VLN), a human-guided navigation paradigm, emerges as a compelling solution to these challenges. Nevertheless, VLN’s practical implementation is constrained by limited task generalization capabilities, inadequate response to diverse linguistic commands, and insufficient consideration of sensor-induced noise in environmental perception. This research addresses these limitations by introducing an innovative vision-language model (VLM)-based human-guided mobile robot navigation approach in an unstructured environment for human-centric smart manufacturing (HSM). This approach encompasses three-dimensional (3D) robust scene reconstruction through advanced point cloud techniques, zero-shot semantic segmentation via a VLM, and natural language processing through a large language model (LLM) to interpret instructions and generate control code for navigation. The system’s efficacy is validated through extensive experiments in an unstructured manufacturing setup. 展开更多
关键词 Vision-language model Large language model Human-robot interaction Mobile robot navigation Human-centric smart manufacturing
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An ethical assessment framework for AI security and ethics in smart grid 认领 引用
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作者 Yiying Zhang Congcong Zhao +2 位作者 Ziang Meng Chun Sing Lai Xi Chen 《Global Energy Interconnection》 EI CSCD 2026年第2期298-314,共17页
The advancement of smart grid,facilitated by the extensive integration of information communication,automated control,and artificial intelligence(AI)technologies,signifies a significant transformation of the power sys... The advancement of smart grid,facilitated by the extensive integration of information communication,automated control,and artificial intelligence(AI)technologies,signifies a significant transformation of the power system towards holistic perception,intelligent management,and secure operation.This article focuses on the security and ethical compliance of smart grid,intending to offer guiding insights for this new technological domain.This study initially delineates the potential applications,technical attributes,and design of smart grid,followed by a thorough examination of the security threats and ethical dilemmas arising from technological advancements.This study examines the pivotal role of AI in smart grid and its intricate interplay with security and ethical concerns.It performs a comprehensive analysis of the possible technical deficiencies and ethical challenges of AI systems in smart grid and assesses the extensive repercussions that these difficulties may entail.This study presents a security ethics evaluation methodology for smart grid,which thoroughly examines the ethical implications of AI technology in power grid applications and identifies existing obstacles and threats.This paper conducts a thorough policy analysis to evaluate the present security and ethical conditions of smart grid,with the objective of offering substantive theoretical support to enhance their security and ethical advancement,thereby fostering their healthy and sustainable development. 展开更多
关键词 Smart grid Artificial intelligence technology Ethics of science and technology Assessment framework
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Intrusion Detection and Security Attacks Mitigation in Smart Cities with Integration of Human-Computer Interaction 认领 引用 被引量：1
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作者 Abeer Alnuaim 《Computers, Materials & Continua》 SCIE EI 2026年第1期711-743,共33页
The rapid digitalization of urban infrastructure has made smart cities increasingly vulnerable to sophisticated cyber threats.In the evolving landscape of cybersecurity,the efficacy of Intrusion Detection Systems(IDS)... The rapid digitalization of urban infrastructure has made smart cities increasingly vulnerable to sophisticated cyber threats.In the evolving landscape of cybersecurity,the efficacy of Intrusion Detection Systems(IDS)is increasingly measured by technical performance,operational usability,and adaptability.This study introduces and rigorously evaluates a Human-Computer Interaction(HCI)-Integrated IDS with the utilization of Convolutional Neural Network(CNN),CNN-Long Short Term Memory(LSTM),and Random Forest(RF)against both a Baseline Machine Learning(ML)and a Traditional IDS model,through an extensive experimental framework encompassing many performance metrics,including detection latency,accuracy,alert prioritization,classification errors,system throughput,usability,ROC-AUC,precision-recall,confusion matrix analysis,and statistical accuracy measures.Our findings consistently demonstrate the superiority of the HCI-Integrated approach utilizing three major datasets(CICIDS 2017,KDD Cup 1999,and UNSW-NB15).Experimental results indicate that the HCI-Integrated model outperforms its counterparts,achieving an AUC-ROC of 0.99,a precision of 0.93,and a recall of 0.96,while maintaining the lowest false positive rate(0.03)and the fastest detection time(~1.5 s).These findings validate the efficacy of incorporating HCI to enhance anomaly detection capabilities,improve responsiveness,and reduce alert fatigue in critical smart city applications.It achieves markedly lower detection times,higher accuracy across all threat categories,reduced false positive and false negative rates,and enhanced system throughput under concurrent load conditions.The HCIIntegrated IDS excels in alert contextualization and prioritization,offering more actionable insights while minimizing analyst fatigue.Usability feedback underscores increased analyst confidence and operational clarity,reinforcing the importance of user-centered design.These results collectively position the HCI-Integrated IDS as a highly effective,scalable,and human-aligned solution for modern threat detection environments. 展开更多
关键词 Anomaly detection smart cities Internet of Things(IoT) HCI CNN LSTM random forest intelligent secure solutions
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Hybrid body area network with integrated sensing and communication for AIoT smart healthcare 认领 引用
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作者 Chao Ren Ziyun Peng +5 位作者 Chao Gong Haojin Li Chen Sun Jiahao Huo Lei Sun Xianmei Wang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第5期776-788,共13页
For more accessible and advanced health monitoring,the Body Area Network(BAN)design with semantic technologies offers efficient information sensing and communication in smart healthcare Artificial Intelligence of Thin... For more accessible and advanced health monitoring,the Body Area Network(BAN)design with semantic technologies offers efficient information sensing and communication in smart healthcare Artificial Intelligence of Things(AIoT).To address the critical challenges of effective communication and reduction of data transmission pressure in AIoT-BAN,a hybrid BAN system is proposed which enhances information processing and communication capabilities by leveraging semantic understanding and multimodal processing.It incorporates a semantic communication and sensing fusion framework,offloading based on the human Body Coupled Communication(BCC)channel,and multimodal semantic information integration to reduce data transmission pressure.The proposed method offers effective inclusive smart healthcare and daily health maintenance for the general public. 展开更多
关键词 Artificial Intelligence of Things Smart healthcare Integrated sensing and communication Body area network
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A Computational Modeling Framework for Verifiable Computation Offloading in Resource-Constrained IoT Smart Contract Systems Using Zero-Knowledge and Fuzzy Logic 认领 引用
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作者 Hong Min Yousef Ibrahim Daradkeh +2 位作者 Jung Taek Seo Mohd Anjum Sana Shahab 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期1488-1520,共33页
This study presents a computational modeling framework for efficient and secure computation offloading in Internet of Things(IoT)-enabled smart contract systems.The integration of IoT,edge computing,and blockchain int... This study presents a computational modeling framework for efficient and secure computation offloading in Internet of Things(IoT)-enabled smart contract systems.The integration of IoT,edge computing,and blockchain introduces significant challenges,including limited device capacity,high verification cost,and scalability constraints.Existing blockchain verification approaches depend on computationally intensive cryptographic operations that are inefficient for resource-constrained IoT devices,resulting in increased latency,energy consumption,and transaction costs.To address these issues,this study proposes the Zero-Knowledge Fuzzy Logic Offloading and Rollup(Z-FLOR)framework,an adaptive and energy-efficient model designed to enable secure and verifiable computation in IoT-based smart contract systems.The proposed framework integrates three key components.First,a zero-knowledge proof-based verification model using the Grothl6 zkSNARK module generates compact and privacy-preserving proofs that enable fast and reliable verification.Second,a Fuzzy Logic-Driven Energy-Aware Offloading module dynamically allocates computational tasks between IoT devices,edge servers,and cloud platforms based on energy availability,network delay,and device reliability.Third,an Optimistic Rollup Verification module aggregates proofs off-chain and submits them in batches to reduce gas costs and enhance scalability.Extensive simulation and experimental evaluation across diverse IoT scenarios demonstrate the effectiveness of the proposed computational framework.Results indicate that Z-FLOR achieves 99.7%verification accuracy and 98.9%proof compression efficiency,while gas cost analysis indicates gas cost reductions in the range of 80%-98%.Z-FLOR additionally achieves a 44.0%reduction in latency,5l.0%savings in gas costs,and 38.0%energy consumption compared to baseline approaches.These findings highlight the capability of the proposed approach to serve as a scalable and energy-efficient modeling solution for secure IoT smart contract execution in decentralized environments. 展开更多
关键词 Zero-knowledge proofs zkSNARK IoT smart contracts verifiable computation blockchain scalability edge computing rollup architecture
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Erratum to“False Data Injection Attacks on Data-Driven Algorithms in Smart Grids Utilizing Distributed Power Supplies”[Engineering 51(2025)62-74] 认领 引用
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作者 Zengji Liu Mengge Liu +1 位作者 Qi Wang Yi Tang 《Engineering》 SCIE EI CSCD 2026年第5期362-362,共1页
The publisher regrets the CRediT authorship contribution statement was inserted incorrectly and the correct statement should be updated as below:Zengji Liu:Writing-review&editing,Writing-original draft,Visualizati... The publisher regrets the CRediT authorship contribution statement was inserted incorrectly and the correct statement should be updated as below:Zengji Liu:Writing-review&editing,Writing-original draft,Visualization,Validation,Supervision,Software,Resources,Project administration,Methodology,Investigation,Funding acquisition,Formal analysis,Data curation,Conceptualization.Mengge Liu:Writing-review&editing,Writing-original draft,Investigation.Qi Wang:Writing-review&editing,Writing-original draft.Yi Tang:Writing-review&editing,Writing-original draft. 展开更多
关键词 data driven algorithms credit authorship contribution statement false data injection attacks smart grids distributed power supplies
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基于Smart组件的激光切割站的设计与仿真 认领 引用
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作者 刘华锋 曾宝君 《锻压装备与制造技术》 2026年第2期98-101,共4页
基于RobotStudio软件和Smart组件,设计并仿真了激光切割工作站。采用LightControl组件模拟激光切割光线,利用LineSensor和LinearMover2组件实现落料动作仿真。通过连接机器人输出信号与Smart组件输入,完成工作站的编程与调试。仿真效果... 基于RobotStudio软件和Smart组件,设计并仿真了激光切割工作站。采用LightControl组件模拟激光切割光线,利用LineSensor和LinearMover2组件实现落料动作仿真。通过连接机器人输出信号与Smart组件输入,完成工作站的编程与调试。仿真效果与控制方式接近实体机器人工作站,有效缓解了实训设备不足的问题,为“虚实结合”教学模式提供了可行方案。 展开更多
关键词 Smart组件 虚实结合 激光切割 RobotStudio 仿真
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Practical Patterns and Optimization Pathways for Classroom Application of the Smart Education of China Platform for Primary and Secondary Education 认领 引用
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作者 KE Qingchao WANG Pengli +1 位作者 MA Xiufang MAI Jingyi 《Frontiers of Education in China》 2026年第2期226-248,共23页
The Smart Education of China platform for primary and secondary education(SECPSE)serves as a crucial support for achieving the digital transformation of classroom teaching.Focusing on the practical efficacy of this pl... The Smart Education of China platform for primary and secondary education(SECPSE)serves as a crucial support for achieving the digital transformation of classroom teaching.Focusing on the practical efficacy of this platform in empowering classroom teaching,this study employs a mixed-methods approach.It conducts a questionnaire survey involving 69,304 primary and secondary school teachers nationwide,supplemented by an in-depth analysis of teaching behaviors and epistemic networks of 20 typical cases,as well as a grounded theory analysis of 845 demand texts.This comprehensive investigation systematically explores the platform's application status,typical models,and optimization pathways.The findings reveal that,firstly,teachers exhibit relatively high overall satisfaction with the platform,and its application has preliminarily formed a pattern covering the entire teaching process.Secondly,the application of the SECPSE in classroom teaching primarily manifests in three typical models.The tool-enabled model deeply embeds technology into the teaching process through on-demand utilization of platform resources and tools.The dual-teacher model leverages expert teacher video lectures from the platform to implement collaborative teaching between online experts and offline teachers,effectively expanding the coverage of high-quality resources.The self-directed inquiry model relies on the platform's learning resources,task-pushing capabilities,and learning analytics to promote students'autonomous knowledge construction.Thirdly,based on the grounded theory,a model encompassing content,tool,service,and mechanism needs is constructed.Accordingly,targeted optimization strategies are proposed.These include optimizing content supply to build a precise resource ecosystem,upgrading tool functionalities to enhance teaching adaptability,improving service support to establish a full-coverage guarantee system,and innovating mechanism development to stimulate momentum for sustained application.The theoretical model and methodological strategies constructed in this study may provide theoretical support and practical references for the promotion and application of the SECPSE. 展开更多
关键词 Smart Education of China platform for primary and secondary education(SECPSE) classroom teaching application grounded theory optimization framework
A digital-simulation-design paradigm for stomatal engineering:From predictive modeling to smart breeding 认领 引用
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作者 Yizhou Wang 《Molecular Plant》 SCIE CAS CSCD 2026年第7期1334-1337,共4页
Global agriculture confronts an escalating paradox:securing more food for a growing population amid increasingly scarce and erratic water resources.At the physiological core of this challenge lie stomata—microscopic ... Global agriculture confronts an escalating paradox:securing more food for a growing population amid increasingly scarce and erratic water resources.At the physiological core of this challenge lie stomata—microscopic pores that control CO uptake for photosynthesis while mitigating water loss through transpiration.Improving crop water-use efficiency(WuE),the ratio of carbon fixed per unit water transpired,has been a long-sought goal,yet progress remains stubbornly incremental. 展开更多
关键词 smart breeding crop water use efficiency water resources stomatal engineering digital simulation stomata stomata microscopic pores predictive modeling
An Improved Reinforcement Learning-Based 6G UAV Communication for Smart Cities 认领 引用 被引量：2
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作者 Vi Hoai Nam Chu Thi Minh Hue Dang Van Anh 《Computers, Materials & Continua》 SCIE EI 2026年第1期2030-2044,共15页
Unmanned Aerial Vehicles(UAVs)have become integral components in smart city infrastructures,supporting applications such as emergency response,surveillance,and data collection.However,the high mobility and dynamic top... Unmanned Aerial Vehicles(UAVs)have become integral components in smart city infrastructures,supporting applications such as emergency response,surveillance,and data collection.However,the high mobility and dynamic topology of Flying Ad Hoc Networks(FANETs)present significant challenges for maintaining reliable,low-latency communication.Conventional geographic routing protocols often struggle in situations where link quality varies and mobility patterns are unpredictable.To overcome these limitations,this paper proposes an improved routing protocol based on reinforcement learning.This new approach integrates Q-learning with mechanisms that are both link-aware and mobility-aware.The proposed method optimizes the selection of relay nodes by using an adaptive reward function that takes into account energy consumption,delay,and link quality.Additionally,a Kalman filter is integrated to predict UAV mobility,improving the stability of communication links under dynamic network conditions.Simulation experiments were conducted using realistic scenarios,varying the number of UAVs to assess scalability.An analysis was conducted on key performance metrics,including the packet delivery ratio,end-to-end delay,and total energy consumption.The results demonstrate that the proposed approach significantly improves the packet delivery ratio by 12%–15%and reduces delay by up to 25.5%when compared to conventional GEO and QGEO protocols.However,this improvement comes at the cost of higher energy consumption due to additional computations and control overhead.Despite this trade-off,the proposed solution ensures reliable and efficient communication,making it well-suited for large-scale UAV networks operating in complex urban environments. 展开更多
关键词 UAV FANET smart cities reinforcement learning Q-learning
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