In recent years, the digital economy has become a key driver of deepening China-Thailand cooperation. As trade and industrial digitalization advance, artificial intelligence (AI), an essential force in the new wave of...In recent years, the digital economy has become a key driver of deepening China-Thailand cooperation. As trade and industrial digitalization advance, artificial intelligence (AI), an essential force in the new wave of technological revolution, is increasingly embedded in the bilateral agenda, steering collaboration beyond efficiencydriven “digital coordination” toward more structured and systemic“intelligent co-development.”Building on five decades of mutual trust since the establishment of diplomatic ties, this cooperation not only addresses the practical needs of industrial upgrading and governance transformation but offers a valuable reference for ASEAN countries exploring replicable pathways in the era of digital transformation.展开更多
Digital twin technology brings more opportunities and challenges to chemical engineering in both academic and industry.A complex process could have multiple digitalization needs,including simulation,monitoring,operato...Digital twin technology brings more opportunities and challenges to chemical engineering in both academic and industry.A complex process could have multiple digitalization needs,including simulation,monitoring,operator training,etc.;thus,a hierarchical digital twin would be a comprehensive solution to that.In this study,a novel and general framework of the digital twin is proposed for operations in process industry.With the hierarchical structure,the framework can handle various tasks driven by different roles in process industry,including managers,engineers,and operators.To complete these tasks,the framework consists of three modules:OAS(Operation Analysis System),OMS(Operation Monitoring System),and OTS(Operator Training System).Each module focuses on one unique type of demand from the staff,as well as interactions among them enabling efficient data sharing.Based on the hierarchical framework,a digital twin system is applied for one complex industrial nitration process,which successfully enhances the operation efficiency and safety in several industrial scenarios with different demands.展开更多
The presented study analyses the impact of hysteresis on the response of mechanical systems.The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to de...The presented study analyses the impact of hysteresis on the response of mechanical systems.The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to describe a damaged or a faulty system.The hysteretic models are able to describe various types of nonlinear behaviour that can reflect the wear or damage of the system components.The data obtained from these models can possibly serve as a basis for the advanced approaches,such as digital twin modelling and predictive maintenance.All the results presented in this study were obtained in the MATLAB environment.The first part of the study provides a concise review of hysteretic models and compares them under the condition of equal energy dissipation per loading cycle.The models considered include the linear,bilinear,Bouc-Wen,Wang-Wen,and generalised Bouc-Wen models.The second part focuses on the development of a mechanical model and the implementation of the mentioned hysteretic models.The stochastic modelling of the driving forces is carried out using the Kanai-Tajimi differential model.The results show that the hysteretic models noticeably influence the treated model.This is also reflected in the frequency domain.The behaviour of hysteretic systems suggests increased energy dissipation combined with the changes in stiffness of the suspension components.Among the presented models,the asymmetric models can be considered as the most suitable for further modelling of damaged systems.展开更多
Water resources health diagnosis is increasingly recognized as a critical tool.It should not only guide the preservation of water volume,quality,and ecological integrity but also assess the viability of carbon-neutral...Water resources health diagnosis is increasingly recognized as a critical tool.It should not only guide the preservation of water volume,quality,and ecological integrity but also assess the viability of carbon-neutral development pathways.But current research tends to consider water health assessment and carbon-neutrality planning as separate endeavors,which results in imprecise boundaries,disjointed metrics,and a weak linkage between diagnostic outcomes and testable management actions.This review brings together indicator systems,diagnostic systems,and environmental management systems architectures that make it possible to have integrated water-carbon governance.We define fundamental concepts and delimiting decisions followed by the examination of indicator designs across the hydrological regime,water quality,ecological integrity,service performance,resilience,and carbon-related measures,including intensity of energy/emissions,emissions caused by the watershed process of wastewater treatment,as well as the potential sink of the watershed.We compare diagnostic methods,such as composite indices and multi-criteria decision analysis,data-driven early-warning models,process-based and integrated simulations,as well as uncertainty-aware robustness models.Here,based on this synthesis,we suggest an environmental management systems(EMS)-based pathway,which connects the setting of the baseline,the diagnosis,the design of the intervention portfolio,and the measurement-reporting-verification into the closed-loop adaptive cycle.Digital enablement,comprising Internet of Things(IoT)monitoring,remote sensing,data fusion,optimization,and digital twins,is considered a viable way of scaling implementation,subject to interoperability,validation,and model governance.Among the major gaps,there are causal attribution to outcomes,cross-scale coupling of facility emissions and basin health,propagation of uncertainty in a coupled model,and credible Measurement,Reporting,and Verification(MRV)of non-CO_(2) gases and nature-based removals.The review gives a roadmap to normalize core metrics and fast-deployable systems to protect the health of the water resources and give verifiable progress towards carbon neutrality.展开更多
Power system protection has evolved significantly due to the ongoing energy transition and digitalization.The development and standardization of information and communication technologies(ICTs)used for power system pr...Power system protection has evolved significantly due to the ongoing energy transition and digitalization.The development and standardization of information and communication technologies(ICTs)used for power system protection,monitoring,and control have led to the digitalization of substations and the introduction of new protection and control schemes.These include virtualized centralized protection and control for in-tra-substation applications,as well as advanced wide-area monitoring,protection,and control(WAMPAC)for inter-substation applications.This paper reviews the development of virtualized centralized protection,with a focus on key practical advancements,emerging technolo-gies,and state-of-the-art studies in centralized protection and control(CPC)and WAMPAC systems.It also identifies directions for future research.展开更多
Zero-day attacks present a critical cybersecurity challenge for Internet of things(IoT)infrastructures,where the inability of signature-based intrusion detection systems(IDSs)to recognize novel threat behaviors compro...Zero-day attacks present a critical cybersecurity challenge for Internet of things(IoT)infrastructures,where the inability of signature-based intrusion detection systems(IDSs)to recognize novel threat behaviors compromises both system reliability and operational continuity.Existing hybrid IDS solutions often struggle to balance accurate classification of known attacks with reliable anomaly detection,particularly under the computational constraints of IoT environments.To address this gap,we introduce ZeroDefense,an adaptive fusion-based IDS designed for simultaneous detection of known intrusions and emerging zero-day threats.The framework employs a four-layer architecture consisting of i)feature standardization and class balancing,ii)anomaly detection using isolation forest,autoencoder,and local outlier factor,iii)fine-grained attack classification via random forest,extreme gradient boosting(XGBoost),light gradient boosting machine(LightGBM),and attentive interpretable tabular learning(TabNet),and iv)a confidence-aware fusion engine that adaptively selects the most reliable decision path.Suspicious or previously unseen traffic is isolated early through fused anomaly scoring,while benign and known-malicious flows are processed through supervised classification for precise attack labeling.With an anomaly cascaded decision pipeline,a dynamic confidence-driven fusion mechanism,and a deploymentconscious design,ZeroDefense enables real-time inference on IoT edge gateways.Evaluation on the CICIoT2023 benchmark demonstrates 99.94% overall accuracy and 95.64%macro-average F1-score for known attacks,while 5.76% of traffic is successfully flagged as potential zero-day activity,with inference latency maintained below 100 ms/flow.These results indicate that ZeroDefense offers a scalable,resilient,and practically deployable defense capability for modern IoT infrastructures.展开更多
With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenu...With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenues for digital transformation and intelligent upgrading.Industry 5.0,a further extension and development of Industry 4.0,has become an important development trend in industry with more emphasis on human-centered sustainability and flexibility.Accordingly,both the industrial metaverse and digital twins have attracted much attention in this new era.However,the relationship between them is not clear enough.In this paper,a comparison between digital twins and the metaverse in industry is made firstly.Then,we propose the concept and framework of Digital Twin Systems Engineering(DTSE)to demonstrate how digital twins support the industrial metaverse in the era of Industry 5.0 by integrating systems engineering principles.Furthermore,we discuss the key technologies and challenges of DTSE,in particular how artificial intelligence enhances the application of DTSE.Finally,a specific application scenario in the aviation field is presented to illustrate the application prospects of DTSE.展开更多
Objectives:Childhood and adolescent obesity are an increasing global health concern.This study aimed to evaluate the effectiveness of digital components and interaction types in counseling interventions for prevention...Objectives:Childhood and adolescent obesity are an increasing global health concern.This study aimed to evaluate the effectiveness of digital components and interaction types in counseling interventions for prevention and treatment.Methods:All studies were searched in online databases and grey literature,including PubMed(Medline),Web of Science,CINAHL,Scopus,IEEE Xplore Digital Library,Journal of Medical Internet Research(JMIR),MedNar,EBSco Open Dissertations.The search period is from inception to June 2023,and the languages are Finnish,English and Swedish.The research quality was evaluated using the web-based data management system Covidence for prevalence studies.The study protocol was registered with PROSPERO(registration number:CRD42021247595).Results:In this review,4,407 studies were screened,and 22 were included.These involved 3,433 participants and 264 child-parent pairs.The digital approaches included multicomponent elements like internet platforms,text messaging,video conferencing,online communities,wearable technology,and mobile apps,allowing one-way,two-way,and face-to-face interactions.Two studies showed statistically significant effects of treatment on BMI and waist-to-hip ratio.Most interventions reported positive outcomes,with no significant differences between groups,and none showed null effects during followup.Conclusions:Digital multicomponents like mobile apps and wearables can help obese children and adolescents adopt healthier lifestyles.While these interventions show promise for obesity management,further research is needed to assess their effectiveness,particularly regarding nurses'perspectives.展开更多
Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A sea...Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase,PubMed,Scopus,CINAHL,Web of Science,PsycINFO,Thai Journal Online(ThaiJO),the Faculty of Nursing Mahidol University(FON-MU)Nursing Research Database,and gray literature.After conducting the literature screening,the authors completed data extraction,and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.Results The study included 22 articles,comprising 30 to 4,118 patients with uncontrolled hypertension.This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes.It was found that the key elements of digital health interventions include health education,reminders,self-monitoring,feedback and consultation,and instrumental support.Moreover,approximately 81.81%(n=18)of the digital health interventions involved healthcare providers participating in feedback and consultation.Additionally,digital health interventions effectively improve hypertensive outcomes such as self-management behaviors,blood pressure control,and cardiovascular risk reduction,providing cost-effectiveness.Conclusion Based on the available literature,digital health interventions have been shown to effectively enhance behavioral,clinical,and economic outcomes for individuals with uncontrolled hypertension.Moreover,the combination of digital health interventions and healthcare providers’interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions.Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.展开更多
In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in...In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.展开更多
To the Editor:As a student actively involved in advocacy for heart disease prevention,I was particularly intrigued by the policymaking implications of digital interventions in the article "Digital components and ...To the Editor:As a student actively involved in advocacy for heart disease prevention,I was particularly intrigued by the policymaking implications of digital interventions in the article "Digital components and interaction types in counseling interventions for childhood and adolescent obesity:A systematic review" [1].Through my work as the Founder and President of the nonprofit Guardians of Heart,I have developed and promoted early educational programs,digital tools,and community outreach initiatives designed to instill heart-healthy habits in youth,intending to mitigate risk factors such as obesity that significantly contribute to cardiovascular disease later in life.展开更多
The rapid advancement of information technology has promoted the development of informatization in universities. The freshmen welcome information system of universities is the first important system to showcase the di...The rapid advancement of information technology has promoted the development of informatization in universities. The freshmen welcome information system of universities is the first important system to showcase the digital level of the university to new students. With the expansion of the enrollment scale of universities, improving the efficiency of welcoming work has become an urgent problem to be solved. This article analyzes the characteristics and existing problems of the welcoming work, combined with the main technical methods of information system construction, and based on the comprehensive situation of information systems in our university, proposes the construction goals and ideas of the welcoming information system, summarizes the construction process and operation results of the welcome system, and explores possible directions for future optimization.展开更多
Neoliberal economic policies implemented by the Justice and Development Party(AKP)in Turkey empowered the modernization process which is one of the main dynamics of transforming traditional societies.As a result of th...Neoliberal economic policies implemented by the Justice and Development Party(AKP)in Turkey empowered the modernization process which is one of the main dynamics of transforming traditional societies.As a result of this socio-economic transformation,new institutions and technical developments evolved,without any relation to religion or its institutions(Zubaida,2011).In fact,this course has accelerated the individualization process of the religiously educated Generation Z in Turkey,whereas the significance of collective religious identity shrank(Kara,2014).The expansion of social media platforms has influenced young people’s relationship with religion and faith.However,after the Gezi Parki protests in 2013,the government started using a more populist discourse with regard to religious and nationalist symbols.This type of political communication had a crucial impact on the political arena.This research sheds light on the result of a qualitative analysis,based on interviews conducted with Imam Hatip school students in Turkey.The results of these in-depth interviews show how digital media is creating a new ecosystem based on self-identity(Giddens,1991).展开更多
Waveform generation and digitization play essential roles in numerous physics experiments.In traditional distributed systems for large-scale experiments,each frontend node contains an FPGA for data preprocessing,which...Waveform generation and digitization play essential roles in numerous physics experiments.In traditional distributed systems for large-scale experiments,each frontend node contains an FPGA for data preprocessing,which interfaces with various data converters and exchanges data with a backend central processor.However,the streaming readout architecture has become a new paradigm for several experiments benefiting from advancements in data transmission and computing technologies.This paper proposes a scalable distributed waveform generation and digitization system that utilizes fiber optical connections for data transmission between frontend nodes and a central processor.By utilizing transparent transmission on top of the data link layer,the clock and data ports of the converters in the frontend nodes are directly mapped to the FPGA firmware at the backend.This streaming readout architecture reduces the complexity of frontend development and maintains the data conversion in proximity to the detector.Each frontend node uses a local clock for waveform digitization.To translate the timing information of events in each channel into the system clock domain within the backend central processing FPGA,a novel method is proposed and evaluated using a demonstrator system.展开更多
This study examines the digital transformation of traditional Chinese medicine(TCM)education within the context of global standardization,along with the challenges and opportunities of its cross-cultural dissemination...This study examines the digital transformation of traditional Chinese medicine(TCM)education within the context of global standardization,along with the challenges and opportunities of its cross-cultural dissemination.With the rapid advancement of technologies such as artificial intelligence,virtual reality,and blockchain,TCM education is experiencing a significant disruption and innovation of its traditional models.The research develops a“Standard-Technology-Culture”tri-spiral model to analyze how TCM education can achieve a seamless integration of standardization,technological innovation,and cultural preservation during its globalization process.The study finds that standardization provides the foundation for TCM education’s global expansion,while technological innovation drives the transformation of educational methodologies.Simultaneously,cultural preservation ensures the distinctiveness of TCM education.However,the tension between standardization and the unique characteristics of TCM,as well as the balance between technological empowerment and cultural transmission,remain critical challenges in the ongoing transformation.Based on these findings,the study proposes strategies such as the“digital apprenticeship”model and blockchain-based certification systems to advance the globalization and digital transformation of TCM education,providing theoretical support for the creation of a global health community.展开更多
Purpose–This study aims to implement condition monitoring for urban rail train permanent magnet synchronous motors and inverter systems.Through the construction of a digital twin model,it performs fault diagnosis of ...Purpose–This study aims to implement condition monitoring for urban rail train permanent magnet synchronous motors and inverter systems.Through the construction of a digital twin model,it performs fault diagnosis of potential system failures,enabling rapid fault localization and protection.Design/methodology/approach–This research begins with a brief introduction to the structure and classification of permanent magnet synchronous motors(PMSMs),followed by a detailed analysis of their mathematical model.Subsequently,it thoroughly investigates the working principle of three-phase two-level inverters and the distribution of space voltage vectors.Based on the analysis of the main circuit topology,a digital twin model matching the external characteristics of the physical circuit is established using the model predictive control method,achieving accurate system simulation.Furthermore,through theoretical analysis and simulation verification of phase current characteristics under inverter switch tube faults,general patterns of phase currents under fault conditions are summarized.The established digital twin model is then employed to validate these patterns,confirming the model’s effectiveness in fault diagnosis.Findings–This study proposes a fault diagnosis method based on digital twins.Experimental and simulation results demonstrate that the established digital twin model can accurately simulate the external characteristics of the actual physical circuit,validating its effectiveness in inverter fault diagnosis.This approach offers practical value for condition monitoring in actual urban rail train systems.Originality/value–The study innovatively starts from a mathematical model and simulates the actual physical model through a virtual model,requiring only external characteristics to achieve system fault diagnosis,thereby enhancing diagnostic efficiency.展开更多
Traditional calibration method for the digital inclinometer relies on manual inspection,and results in its disadvantages of complicated process,low-efficiency and human errors easy to be introduced.To improve both the...Traditional calibration method for the digital inclinometer relies on manual inspection,and results in its disadvantages of complicated process,low-efficiency and human errors easy to be introduced.To improve both the calibration accuracy and efficiency of digital inclinometer,an automatic digital inclinometer calibration system was developed in this study,and a new display tube recognition algorithm was proposed.First,a high-precision automatic turntable was taken as the reference to calculate the indication error of the inclinometer.Then,the automatic inclinometer calibration control process and the digital inclinometer zero-setting function were formulated.For display tube recognition,a new display tube recognition algorithm combining threading method and feature extraction method was proposed.Finally,the calibration system was calibrated by photoelectric autocollimator and regular polygon mirror,and the calibration system error and repeatability were calculated via a series of experiments.The experimental results showed that the indication error of the proposed calibration system was less than 4",and the repeatability was 3.9".A digital inclinometer with the resolution of 0.1°was taken as a testing example,within the calibration points'range of[-90°,90°],the repeatability of the testing was 0.085°,and the whole testing process was less than 90 s.The digital inclinometer indication error is mainly introduced by the digital inclinometer resolution according to the uncertainty evaluation.展开更多
In the contemporary era,characterized by the Internet and digitalization as fundamental features,the operation and application of digital currency have gradually developed into a comprehensive structural system.This s...In the contemporary era,characterized by the Internet and digitalization as fundamental features,the operation and application of digital currency have gradually developed into a comprehensive structural system.This system restores the essential characteristics of currency while providing auxiliary services related to the formation,circulation,storage,application,and promotion of digital currency.Compared to traditional currency management technologies,big data analysis technology,which is primarily embedded in digital currency systems,enables the rapid acquisition of information.This facilitates the identification of standard associations within currency data and provides technical support for the operational framework of digital currency.展开更多
Digital twin shows broad application prospects in the aerospace field.This paper introduces a generalized satellite digital twin system in detail.With the innovative design concepts of modularization,generalization an...Digital twin shows broad application prospects in the aerospace field.This paper introduces a generalized satellite digital twin system in detail.With the innovative design concepts of modularization,generalization and modeling,on the one hand,the system has successfully achieved the reuse of software modules among different satellite models;on the other hand,it has achieved the reuse of software modules between the digital twin and the testing system,significantly improving the development efficiency of the digital twin system.The paper elaborates on the technical architecture and application fields of this digital twin system,and further prospects its future development.At the same time,through a real inorbit case,the engineering value of the digital twin system is strongly demonstrated.展开更多
文摘In recent years, the digital economy has become a key driver of deepening China-Thailand cooperation. As trade and industrial digitalization advance, artificial intelligence (AI), an essential force in the new wave of technological revolution, is increasingly embedded in the bilateral agenda, steering collaboration beyond efficiencydriven “digital coordination” toward more structured and systemic“intelligent co-development.”Building on five decades of mutual trust since the establishment of diplomatic ties, this cooperation not only addresses the practical needs of industrial upgrading and governance transformation but offers a valuable reference for ASEAN countries exploring replicable pathways in the era of digital transformation.
基金support of the“Pioneer”and“Leading Goose”Research&Development Program of Zhejiang(2024C01028)the State Key Laboratory of Industrial Control Technology,China(ICT2024C04)are gratefully acknowledged.
文摘Digital twin technology brings more opportunities and challenges to chemical engineering in both academic and industry.A complex process could have multiple digitalization needs,including simulation,monitoring,operator training,etc.;thus,a hierarchical digital twin would be a comprehensive solution to that.In this study,a novel and general framework of the digital twin is proposed for operations in process industry.With the hierarchical structure,the framework can handle various tasks driven by different roles in process industry,including managers,engineers,and operators.To complete these tasks,the framework consists of three modules:OAS(Operation Analysis System),OMS(Operation Monitoring System),and OTS(Operator Training System).Each module focuses on one unique type of demand from the staff,as well as interactions among them enabling efficient data sharing.Based on the hierarchical framework,a digital twin system is applied for one complex industrial nitration process,which successfully enhances the operation efficiency and safety in several industrial scenarios with different demands.
基金supported by projects KEGA,Nos.002ŽU-4/2023,and 005ŽU-4/2024,and by the project VEGA,No.1/0423/23.
文摘The presented study analyses the impact of hysteresis on the response of mechanical systems.The main objective is to determine how the hysteretic models influence the system behaviour and if they can be utilised to describe a damaged or a faulty system.The hysteretic models are able to describe various types of nonlinear behaviour that can reflect the wear or damage of the system components.The data obtained from these models can possibly serve as a basis for the advanced approaches,such as digital twin modelling and predictive maintenance.All the results presented in this study were obtained in the MATLAB environment.The first part of the study provides a concise review of hysteretic models and compares them under the condition of equal energy dissipation per loading cycle.The models considered include the linear,bilinear,Bouc-Wen,Wang-Wen,and generalised Bouc-Wen models.The second part focuses on the development of a mechanical model and the implementation of the mentioned hysteretic models.The stochastic modelling of the driving forces is carried out using the Kanai-Tajimi differential model.The results show that the hysteretic models noticeably influence the treated model.This is also reflected in the frequency domain.The behaviour of hysteretic systems suggests increased energy dissipation combined with the changes in stiffness of the suspension components.Among the presented models,the asymmetric models can be considered as the most suitable for further modelling of damaged systems.
文摘Water resources health diagnosis is increasingly recognized as a critical tool.It should not only guide the preservation of water volume,quality,and ecological integrity but also assess the viability of carbon-neutral development pathways.But current research tends to consider water health assessment and carbon-neutrality planning as separate endeavors,which results in imprecise boundaries,disjointed metrics,and a weak linkage between diagnostic outcomes and testable management actions.This review brings together indicator systems,diagnostic systems,and environmental management systems architectures that make it possible to have integrated water-carbon governance.We define fundamental concepts and delimiting decisions followed by the examination of indicator designs across the hydrological regime,water quality,ecological integrity,service performance,resilience,and carbon-related measures,including intensity of energy/emissions,emissions caused by the watershed process of wastewater treatment,as well as the potential sink of the watershed.We compare diagnostic methods,such as composite indices and multi-criteria decision analysis,data-driven early-warning models,process-based and integrated simulations,as well as uncertainty-aware robustness models.Here,based on this synthesis,we suggest an environmental management systems(EMS)-based pathway,which connects the setting of the baseline,the diagnosis,the design of the intervention portfolio,and the measurement-reporting-verification into the closed-loop adaptive cycle.Digital enablement,comprising Internet of Things(IoT)monitoring,remote sensing,data fusion,optimization,and digital twins,is considered a viable way of scaling implementation,subject to interoperability,validation,and model governance.Among the major gaps,there are causal attribution to outcomes,cross-scale coupling of facility emissions and basin health,propagation of uncertainty in a coupled model,and credible Measurement,Reporting,and Verification(MRV)of non-CO_(2) gases and nature-based removals.The review gives a roadmap to normalize core metrics and fast-deployable systems to protect the health of the water resources and give verifiable progress towards carbon neutrality.
基金supported by the CIRP-5G Project(Business Finland)(No.6937/31/2021)the Otto A.Malm Foundation.
文摘Power system protection has evolved significantly due to the ongoing energy transition and digitalization.The development and standardization of information and communication technologies(ICTs)used for power system protection,monitoring,and control have led to the digitalization of substations and the introduction of new protection and control schemes.These include virtualized centralized protection and control for in-tra-substation applications,as well as advanced wide-area monitoring,protection,and control(WAMPAC)for inter-substation applications.This paper reviews the development of virtualized centralized protection,with a focus on key practical advancements,emerging technolo-gies,and state-of-the-art studies in centralized protection and control(CPC)and WAMPAC systems.It also identifies directions for future research.
文摘Zero-day attacks present a critical cybersecurity challenge for Internet of things(IoT)infrastructures,where the inability of signature-based intrusion detection systems(IDSs)to recognize novel threat behaviors compromises both system reliability and operational continuity.Existing hybrid IDS solutions often struggle to balance accurate classification of known attacks with reliable anomaly detection,particularly under the computational constraints of IoT environments.To address this gap,we introduce ZeroDefense,an adaptive fusion-based IDS designed for simultaneous detection of known intrusions and emerging zero-day threats.The framework employs a four-layer architecture consisting of i)feature standardization and class balancing,ii)anomaly detection using isolation forest,autoencoder,and local outlier factor,iii)fine-grained attack classification via random forest,extreme gradient boosting(XGBoost),light gradient boosting machine(LightGBM),and attentive interpretable tabular learning(TabNet),and iv)a confidence-aware fusion engine that adaptively selects the most reliable decision path.Suspicious or previously unseen traffic is isolated early through fused anomaly scoring,while benign and known-malicious flows are processed through supervised classification for precise attack labeling.With an anomaly cascaded decision pipeline,a dynamic confidence-driven fusion mechanism,and a deploymentconscious design,ZeroDefense enables real-time inference on IoT edge gateways.Evaluation on the CICIoT2023 benchmark demonstrates 99.94% overall accuracy and 95.64%macro-average F1-score for known attacks,while 5.76% of traffic is successfully flagged as potential zero-day activity,with inference latency maintained below 100 ms/flow.These results indicate that ZeroDefense offers a scalable,resilient,and practically deployable defense capability for modern IoT infrastructures.
基金Supported by Beijing Municipal Natural Science Foundation of China(Grant No.24JL002)China Postdoctoral Science Foundation(Grant No.2024M754054)+2 种基金National Natural Science Foundation of China(Grant No.52120105008)Beijing Municipal Outstanding Young Scientis Program of Chinathe New Cornerstone Science Foundation through the XPLORER PRIZE。
文摘With the continuous advancement and maturation of technologies such as big data,artificial intelligence,virtual reality,robotics,human-machine collaboration,and augmented reality,many enterprises are finding new avenues for digital transformation and intelligent upgrading.Industry 5.0,a further extension and development of Industry 4.0,has become an important development trend in industry with more emphasis on human-centered sustainability and flexibility.Accordingly,both the industrial metaverse and digital twins have attracted much attention in this new era.However,the relationship between them is not clear enough.In this paper,a comparison between digital twins and the metaverse in industry is made firstly.Then,we propose the concept and framework of Digital Twin Systems Engineering(DTSE)to demonstrate how digital twins support the industrial metaverse in the era of Industry 5.0 by integrating systems engineering principles.Furthermore,we discuss the key technologies and challenges of DTSE,in particular how artificial intelligence enhances the application of DTSE.Finally,a specific application scenario in the aviation field is presented to illustrate the application prospects of DTSE.
文摘Objectives:Childhood and adolescent obesity are an increasing global health concern.This study aimed to evaluate the effectiveness of digital components and interaction types in counseling interventions for prevention and treatment.Methods:All studies were searched in online databases and grey literature,including PubMed(Medline),Web of Science,CINAHL,Scopus,IEEE Xplore Digital Library,Journal of Medical Internet Research(JMIR),MedNar,EBSco Open Dissertations.The search period is from inception to June 2023,and the languages are Finnish,English and Swedish.The research quality was evaluated using the web-based data management system Covidence for prevalence studies.The study protocol was registered with PROSPERO(registration number:CRD42021247595).Results:In this review,4,407 studies were screened,and 22 were included.These involved 3,433 participants and 264 child-parent pairs.The digital approaches included multicomponent elements like internet platforms,text messaging,video conferencing,online communities,wearable technology,and mobile apps,allowing one-way,two-way,and face-to-face interactions.Two studies showed statistically significant effects of treatment on BMI and waist-to-hip ratio.Most interventions reported positive outcomes,with no significant differences between groups,and none showed null effects during followup.Conclusions:Digital multicomponents like mobile apps and wearables can help obese children and adolescents adopt healthier lifestyles.While these interventions show promise for obesity management,further research is needed to assess their effectiveness,particularly regarding nurses'perspectives.
基金the support provided by the 2D43 TW009883 D43 Post-Doctoral Program at the School of Nursing,University of Michigan,USA。
文摘Objectives This systematic review aimed to identify effective and cost-effective digital health interventions to improve self-management behaviors,blood pressure control,and cardiovascular risk reduction.Methods A search for randomized and non-randomized control trials of digital health interventions among patients with uncontrolled hypertension was conducted from the databases of Embase,PubMed,Scopus,CINAHL,Web of Science,PsycINFO,Thai Journal Online(ThaiJO),the Faculty of Nursing Mahidol University(FON-MU)Nursing Research Database,and gray literature.After conducting the literature screening,the authors completed data extraction,and the risk of bias was assessed using the Joanna Briggs Institute randomized controlled trial checklist and the Joanna Briggs Institute critical appraisal checklist for quasi-experimental studies.Results The study included 22 articles,comprising 30 to 4,118 patients with uncontrolled hypertension.This review classified and summarized the components of digital health interventions and their effects on hypertensive outcomes.It was found that the key elements of digital health interventions include health education,reminders,self-monitoring,feedback and consultation,and instrumental support.Moreover,approximately 81.81%(n=18)of the digital health interventions involved healthcare providers participating in feedback and consultation.Additionally,digital health interventions effectively improve hypertensive outcomes such as self-management behaviors,blood pressure control,and cardiovascular risk reduction,providing cost-effectiveness.Conclusion Based on the available literature,digital health interventions have been shown to effectively enhance behavioral,clinical,and economic outcomes for individuals with uncontrolled hypertension.Moreover,the combination of digital health interventions and healthcare providers’interventions can potentially help patients with uncontrolled hypertension improve adherence to self-management when compared to stand-alone digital health interventions.Digital health interventions to support self-management interventions should be developed for patients by healthcare providers.
文摘In the context of the digital transformation of vocational education,a quality evaluation index system has been constructed.Based on a questionnaire survey conducted among higher vocational colleges and enterprises in Hainan Province,it has been found that the quality of vocational education generally depends on the talent training program and professional construction at the macro level.At the meso level,the teacher level and teaching environment are critical,while at the micro level,the evaluation of talent training quality cannot be underestimated.Strategies for quality improvement in vocational education are proposed from the perspectives of talent training programs,major construction,teacher development,teaching environment,and talent training quality,all under the lens of digital transformation.
文摘To the Editor:As a student actively involved in advocacy for heart disease prevention,I was particularly intrigued by the policymaking implications of digital interventions in the article "Digital components and interaction types in counseling interventions for childhood and adolescent obesity:A systematic review" [1].Through my work as the Founder and President of the nonprofit Guardians of Heart,I have developed and promoted early educational programs,digital tools,and community outreach initiatives designed to instill heart-healthy habits in youth,intending to mitigate risk factors such as obesity that significantly contribute to cardiovascular disease later in life.
文摘The rapid advancement of information technology has promoted the development of informatization in universities. The freshmen welcome information system of universities is the first important system to showcase the digital level of the university to new students. With the expansion of the enrollment scale of universities, improving the efficiency of welcoming work has become an urgent problem to be solved. This article analyzes the characteristics and existing problems of the welcoming work, combined with the main technical methods of information system construction, and based on the comprehensive situation of information systems in our university, proposes the construction goals and ideas of the welcoming information system, summarizes the construction process and operation results of the welcome system, and explores possible directions for future optimization.
文摘Neoliberal economic policies implemented by the Justice and Development Party(AKP)in Turkey empowered the modernization process which is one of the main dynamics of transforming traditional societies.As a result of this socio-economic transformation,new institutions and technical developments evolved,without any relation to religion or its institutions(Zubaida,2011).In fact,this course has accelerated the individualization process of the religiously educated Generation Z in Turkey,whereas the significance of collective religious identity shrank(Kara,2014).The expansion of social media platforms has influenced young people’s relationship with religion and faith.However,after the Gezi Parki protests in 2013,the government started using a more populist discourse with regard to religious and nationalist symbols.This type of political communication had a crucial impact on the political arena.This research sheds light on the result of a qualitative analysis,based on interviews conducted with Imam Hatip school students in Turkey.The results of these in-depth interviews show how digital media is creating a new ecosystem based on self-identity(Giddens,1991).
基金supported by the National Key Research and Development Program of China(No.2022YFA1604703)the National Natural Science Foundation of China(No.12375189)the National Key Research and Development Program of China(No.2021YFA1601300)。
文摘Waveform generation and digitization play essential roles in numerous physics experiments.In traditional distributed systems for large-scale experiments,each frontend node contains an FPGA for data preprocessing,which interfaces with various data converters and exchanges data with a backend central processor.However,the streaming readout architecture has become a new paradigm for several experiments benefiting from advancements in data transmission and computing technologies.This paper proposes a scalable distributed waveform generation and digitization system that utilizes fiber optical connections for data transmission between frontend nodes and a central processor.By utilizing transparent transmission on top of the data link layer,the clock and data ports of the converters in the frontend nodes are directly mapped to the FPGA firmware at the backend.This streaming readout architecture reduces the complexity of frontend development and maintains the data conversion in proximity to the detector.Each frontend node uses a local clock for waveform digitization.To translate the timing information of events in each channel into the system clock domain within the backend central processing FPGA,a novel method is proposed and evaluated using a demonstrator system.
文摘This study examines the digital transformation of traditional Chinese medicine(TCM)education within the context of global standardization,along with the challenges and opportunities of its cross-cultural dissemination.With the rapid advancement of technologies such as artificial intelligence,virtual reality,and blockchain,TCM education is experiencing a significant disruption and innovation of its traditional models.The research develops a“Standard-Technology-Culture”tri-spiral model to analyze how TCM education can achieve a seamless integration of standardization,technological innovation,and cultural preservation during its globalization process.The study finds that standardization provides the foundation for TCM education’s global expansion,while technological innovation drives the transformation of educational methodologies.Simultaneously,cultural preservation ensures the distinctiveness of TCM education.However,the tension between standardization and the unique characteristics of TCM,as well as the balance between technological empowerment and cultural transmission,remain critical challenges in the ongoing transformation.Based on these findings,the study proposes strategies such as the“digital apprenticeship”model and blockchain-based certification systems to advance the globalization and digital transformation of TCM education,providing theoretical support for the creation of a global health community.
基金supported by the Fund of China State Railway Group Corporation Limited(L2023J001)the Fund of China Academy of Railway Sciences Corporation Limited(2023YJ247).
文摘Purpose–This study aims to implement condition monitoring for urban rail train permanent magnet synchronous motors and inverter systems.Through the construction of a digital twin model,it performs fault diagnosis of potential system failures,enabling rapid fault localization and protection.Design/methodology/approach–This research begins with a brief introduction to the structure and classification of permanent magnet synchronous motors(PMSMs),followed by a detailed analysis of their mathematical model.Subsequently,it thoroughly investigates the working principle of three-phase two-level inverters and the distribution of space voltage vectors.Based on the analysis of the main circuit topology,a digital twin model matching the external characteristics of the physical circuit is established using the model predictive control method,achieving accurate system simulation.Furthermore,through theoretical analysis and simulation verification of phase current characteristics under inverter switch tube faults,general patterns of phase currents under fault conditions are summarized.The established digital twin model is then employed to validate these patterns,confirming the model’s effectiveness in fault diagnosis.Findings–This study proposes a fault diagnosis method based on digital twins.Experimental and simulation results demonstrate that the established digital twin model can accurately simulate the external characteristics of the actual physical circuit,validating its effectiveness in inverter fault diagnosis.This approach offers practical value for condition monitoring in actual urban rail train systems.Originality/value–The study innovatively starts from a mathematical model and simulates the actual physical model through a virtual model,requiring only external characteristics to achieve system fault diagnosis,thereby enhancing diagnostic efficiency.
基金the National Natural Science Foundation of China(No.61927822)。
文摘Traditional calibration method for the digital inclinometer relies on manual inspection,and results in its disadvantages of complicated process,low-efficiency and human errors easy to be introduced.To improve both the calibration accuracy and efficiency of digital inclinometer,an automatic digital inclinometer calibration system was developed in this study,and a new display tube recognition algorithm was proposed.First,a high-precision automatic turntable was taken as the reference to calculate the indication error of the inclinometer.Then,the automatic inclinometer calibration control process and the digital inclinometer zero-setting function were formulated.For display tube recognition,a new display tube recognition algorithm combining threading method and feature extraction method was proposed.Finally,the calibration system was calibrated by photoelectric autocollimator and regular polygon mirror,and the calibration system error and repeatability were calculated via a series of experiments.The experimental results showed that the indication error of the proposed calibration system was less than 4",and the repeatability was 3.9".A digital inclinometer with the resolution of 0.1°was taken as a testing example,within the calibration points'range of[-90°,90°],the repeatability of the testing was 0.085°,and the whole testing process was less than 90 s.The digital inclinometer indication error is mainly introduced by the digital inclinometer resolution according to the uncertainty evaluation.
文摘In the contemporary era,characterized by the Internet and digitalization as fundamental features,the operation and application of digital currency have gradually developed into a comprehensive structural system.This system restores the essential characteristics of currency while providing auxiliary services related to the formation,circulation,storage,application,and promotion of digital currency.Compared to traditional currency management technologies,big data analysis technology,which is primarily embedded in digital currency systems,enables the rapid acquisition of information.This facilitates the identification of standard associations within currency data and provides technical support for the operational framework of digital currency.
文摘Digital twin shows broad application prospects in the aerospace field.This paper introduces a generalized satellite digital twin system in detail.With the innovative design concepts of modularization,generalization and modeling,on the one hand,the system has successfully achieved the reuse of software modules among different satellite models;on the other hand,it has achieved the reuse of software modules between the digital twin and the testing system,significantly improving the development efficiency of the digital twin system.The paper elaborates on the technical architecture and application fields of this digital twin system,and further prospects its future development.At the same time,through a real inorbit case,the engineering value of the digital twin system is strongly demonstrated.
