This study aims to promote the optimization and upgrading of the economic structure in rural areas of China by focusing on the coupling coordination mechanism between digital economy–agriculture integration and rural...This study aims to promote the optimization and upgrading of the economic structure in rural areas of China by focusing on the coupling coordination mechanism between digital economy–agriculture integration and rural revitalization.By examining panel data from 30 Chinese provinces,autonomous regions,and municipalities between 2011 and 2022,the research constructs a weight-based evaluation system that integrates subjective and objective methods and a coupling coordination model to reveal its dynamic evolution patterns.Key findings indicate that digital economy–agriculture integration and rural revitalization achieve cross-coupling through critical activities.The impact of digital-agriculture integration on advancing rural revitalization lags by 2–3 years.Although the coupling development degree between the two systems continues to improve,it remains at the stage of primary coordination.Regional disparities are significant,showing a gradient pattern of“high degree of coupling development in the east and low degree of coupling development in the west.”展开更多
In the era of the digital economy,traditional supply chain finance models face challenges such as information fragmentation,inefficient processes,and insufficient credit transmission,necessitating digital transformati...In the era of the digital economy,traditional supply chain finance models face challenges such as information fragmentation,inefficient processes,and insufficient credit transmission,necessitating digital transformation.This study focuses on Kweichow Moutai Group,systematically analyzing its innovative practices in supply chain finance and examining the mechanisms through which digital technologies enhance core enterprise credit empowerment,improve supply chain collaboration efficiency,and optimize risk management.The research reveals that Moutai Group has transformed supply chain finance from unilateral credit granting to ecosystem-based credit sharing by establishing an IoT-enabled asset verification platform,developing smart contract-driven bill financing systems,and building a blockchain-based multi-party credit alliance.This model significantly lowers financing barriers for small and medium-sized suppliers while creating new value chain growth points through data assetization strategies.Finally,the study proposes further improvements from the perspectives of technical standardization and adaptive regulatory frameworks.展开更多
China and ASEAN have emerged as close partners in the digital economy,with extensive cooperation in key areas such as digital infrastructure,5G technology,artificial intelligence,and big data.The comprehensive impleme...China and ASEAN have emerged as close partners in the digital economy,with extensive cooperation in key areas such as digital infrastructure,5G technology,artificial intelligence,and big data.The comprehensive implementation of the Regional Comprehensive Economic Partnership(RCEP)has provided institutional guarantees and regulatory benefits for China-ASEAN digital economic collaboration.This framework has enhanced the marginal effects of their digital economies,unlocked the potential of the digital market,and facilitated digital transformation and regional socio-economic development.Nevertheless,challenges remain,including the incomplete harmonization of trade rules and standards among ASEAN member states,uneven development of digital infrastructure,and the increasingly complex landscape of digital economic cooperation.To address these issues,future efforts should focus on creating a more conducive digital environment,accelerating the construction of digital infrastructure,fostering industrial innovation and complementary development,and promoting cross-sectoral collaboration in digital services.展开更多
This study utilizes panel data from 293 Chinese cities at the prefecture level or above,spanning from 2013 to 2022,to empirically examine the net effects and underlying mechanisms of establishing pilot free trade zone...This study utilizes panel data from 293 Chinese cities at the prefecture level or above,spanning from 2013 to 2022,to empirically examine the net effects and underlying mechanisms of establishing pilot free trade zones(FTZs)on integration into the digital global value chain(DGVC).The results demonstrate that the establishment of pilot FTZs positively promotes integration into the DGVC and generates a spatial spillover effect.Compared to coastal areas and small-and medium-sized cities,pilot FTZs have a more significant impact on the integration of inland regions and large cities into the DGVC.Mechanism tests reveal that pilot FTZs drive integration into the DGVC primarily by promoting digital industry agglomeration and enhancing the technological content of exports.Furthermore,bilateral foreign direct investment and digital trade rules positively amplify the impact of pilot FTZs on integration into the DGVC.Therefore,this study recommends comprehensively deepening the development of pilot FTZs,consistently enhancing the technological content of exports,and proactively establishing a sound digital trade regulatory framework.These recommendations offer valuable insights for DGVC integration and the construction of a high-standard free trade network.展开更多
Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks(GANs).Deepfake technology has many useful uses in education and entertainment,but it also raises a lot of ethical,socia...Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks(GANs).Deepfake technology has many useful uses in education and entertainment,but it also raises a lot of ethical,social,and security issues,such as identity theft,the dissemination of false information,and privacy violations.This study seeks to provide a comprehensive analysis of several methods for identifying and circumventing Deepfakes,with a particular focus on image-based Deepfakes.There are three main types of detection methods:classical,machine learning(ML)and deep learning(DL)-based,and hybrid methods.There are three main types of preventative methods:technical,legal,and moral.The study investigates the effectiveness of several detection approaches,such as convolutional neural networks(CNNs),frequency domain analysis,and hybrid CNN-LSTM models,focusing on the respective advantages and disadvantages of each method.We also look at new technologies like Explainable Artificial Intelligence(XAI)and blockchain-based frameworks.The essay looks at the use of algorithmic protocols,watermarking,and blockchain-based content verification as possible ways to stop certain things from happening.Recent advancements,including adversarial training and anti-Deepfake data generation,are essential because of their potential to alleviate rising concerns.This reviewshows that there aremajor problems,such as the difficulty of improving the capabilities of existing systems,the high running expenses,and the risk of being attacked by enemies.It stresses the importance of working together across fields,including academia,business,and government,to create robust,scalable,and ethical solutions.Themain goals of futurework should be to create lightweight,real-timedetection systems,connect them to large language models(LLMs),and put in place worldwide regulatory frameworks.This essay argues for a complete and varied plan to keep digital information real and build confidence in a time when media is driven by artificial intelligence.It uses both technical and non-technical means.展开更多
Effective application of digital integrated management and maintenance systems is essential for successful operation and maintenance management of bridge projects.This article analyzes the application strategy of such...Effective application of digital integrated management and maintenance systems is essential for successful operation and maintenance management of bridge projects.This article analyzes the application strategy of such systems.It provides an overview of comprehensive digital management and maintenance of bridges,an analysis of the basic components of the integrated management and maintenance system,and its application strategies.This study aims to offer guidance for the application of the system and to improve the quality of modern bridge engineering management and maintenance work.展开更多
The idea of mineral exploration,which is called"exploration philosophy"in the Western countries,is the thoughts,the methodology,technology,goals and organization that guide mineral exploration.The three basi...The idea of mineral exploration,which is called"exploration philosophy"in the Western countries,is the thoughts,the methodology,technology,goals and organization that guide mineral exploration.The three basic elements of mineral exploration are"what to find","where to find"and"how to find".The concept of mineral exploration is gradually changing with the development of these three elements that provide a powerful driving force to change mineral exploration concepts,methods and technology.Innovation of mineral exploration concepts is the result of continuing exploration and development keeping pace with the times.The combination of"mathematical geology"and"information technology"can be called"digital geology".Digital geology is the data analysis component of geological science.Geological data science is a science that uses the general methodology of data to study geology based on the characteristics of geological data and the needs of geological field work.Digital mineral exploration is the application of digital geology in mineral exploration to reduce ore-finding uncertainty.展开更多
In all phases of forensic investigation, digital evidence is exposed to external influences and coming into contact with many factors. Legal admissibility of digital evidence is the ability of that evidence being acce...In all phases of forensic investigation, digital evidence is exposed to external influences and coming into contact with many factors. Legal admissibility of digital evidence is the ability of that evidence being accepted as evidence in a court of law. Life cycle of digital evidence is very complex. In each stage there is more impact that can violate a chain of custody and its integrity. Contact with different variables occurs through a life cycle of digital evidence and can disrupt its integrity. In order for the evidence to be accepted by the court as valid, chain of custody for digital evidence must be kept, or it must be known who exactly came into contact with evidence in each stage of the investigation. This paper presents a dynamics and life cycle of digital evidence. The Petri nets will be proposed and used for modeling and simulation of this process.展开更多
The inequality faced by the elderly in a digital society is the digital inequality caused by both public and private actions,as well as the societal inequality exacerbated by the digital inequality.The essence of this...The inequality faced by the elderly in a digital society is the digital inequality caused by both public and private actions,as well as the societal inequality exacerbated by the digital inequality.The essence of this issue lies in the unequal social participation due to the expansion of digital space under digital inequality.The characteristics of the elderly,combined with their inherent human dignity,determine that the ultimate goal of protecting their right to equality in a digital society is not limited to equal digital rights alone.Instead,it aims to ensure that the elderly have equal opportunities for social participation in both digital and non-digital spaces by eliminating digital inequality and curbing the expansion of digital space.This ensures the autonomy of the elderly in the digital society.Accordingly,the State should implement two policies based on both prohibitive obligations that prevent direct infringements and protective obligations that safeguard the equal rights of the elderly against encroachments from private entities.The first policy,“Digital Integration”,empowers the elderly with digital skills and helps them actively integrate into the digital society.The second policy,“Digital Coexistence,”ensures that the elderly can equally participate in society even when they choose to abstain from digital technology.展开更多
Purpose:The purpose of the research is to investigate public needs for digital information service in the Chinese libraries and museums and seek ways to help these public service institutions improve their service to ...Purpose:The purpose of the research is to investigate public needs for digital information service in the Chinese libraries and museums and seek ways to help these public service institutions improve their service to meet user needs.Design/methodology/approach:An online questionnaire survey was used to study the publicneeds for digital information service provided by libraries and museums.A total of 474 valid questionnaires were retrieved for analysis.Findings:The primary purpose of using the digital library and museum service was for knowledge acquisition,followed by work or class assignment and leisure and entertainment.Users need one-stop information service that provides information and service in a more integrated form and allows cross-database searching as well.Research limitations:A majority of the respondents were young and middle-aged people who often use the Internet.We would need to increase our sample size and include different groups of users such as children and retirees to make the sample more representative.Practical implications:Libraries and museums should collaborate to provide the users with one-stop digital information service.Meanwhile,the research can serve as a reference source for the future studies of digital library and museum service.Originality/value:Few studies were published on the public needs for digital library and museum service in China.This study bridges the gap and contributes to our understanding of the Chinese users’ needs for digital information service in libraries and museums.展开更多
Background With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtua...Background With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space.In this work,a digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement.Methods A finite element model(FEM)of the lumbar spine was firstly developed using computed tomography(CT)and constrained by the body movement which calculated by the inverse kinematics algorithm.The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time.Finally,a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement.Results The evaluation results presented an agreement(R^(2)>0.8)between the real-time prediction from digital twin and offline FEM prediction.Conclusions This approach provides an effective method of real-time planning and warning in spine rehabilitation.展开更多
The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relations...The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.展开更多
The IEEE Standard 1149.1 boundary scan (BS) implementation provides the internal access required for testing the digital printed circuit board (PCB). However, the integrity of the boundary scan test infrastructure sh...The IEEE Standard 1149.1 boundary scan (BS) implementation provides the internal access required for testing the digital printed circuit board (PCB). However, the integrity of the boundary scan test infrastructure should be tested first to guarantee the validation of the results of the rest functional test and diagnosis. This paper describes the fault models and test principles of the BS test access port (TAP) lines on PCBs. A test algorithm with high fault coverage and short time is then presented for the PCB on which all ICs are BS ones.展开更多
Driven by continuous scaling of nanoscale semiconductor technologies,the past years have witnessed the progressive advancement of machine learning techniques and applications.Recently,dedicated machine learning accele...Driven by continuous scaling of nanoscale semiconductor technologies,the past years have witnessed the progressive advancement of machine learning techniques and applications.Recently,dedicated machine learning accelerators,especially for neural networks,have attracted the research interests of computer architects and VLSI designers.State-of-the-art accelerators increase performance by deploying a huge amount of processing elements,however still face the issue of degraded resource utilization across hybrid and non-standard algorithmic kernels.In this work,we exploit the properties of important neural network kernels for both perception and control to propose a reconfigurable dataflow processor,which adjusts the patterns of data flowing,functionalities of processing elements and on-chip storages according to network kernels.In contrast to stateof-the-art fine-grained data flowing techniques,the proposed coarse-grained dataflow reconfiguration approach enables extensive sharing of computing and storage resources.Three hybrid networks for MobileNet,deep reinforcement learning and sequence classification are constructed and analyzed with customized instruction sets and toolchain.A test chip has been designed and fabricated under UMC 65 nm CMOS technology,with the measured power consumption of 7.51 mW under 100 MHz frequency on a die size of 1.8×1.8 mm^2.展开更多
Previous studies show that interconnects occupy a large portion of the timing budget and area in FPGAs.In this work,we propose a time-multiplexing technique on FPGA interconnects.In order to fully exploit this interco...Previous studies show that interconnects occupy a large portion of the timing budget and area in FPGAs.In this work,we propose a time-multiplexing technique on FPGA interconnects.In order to fully exploit this interconnect architecture,we propose a time-multiplexed routing algorithm that can actively identify qualified nets and schedule them to multiplexable wires.We validate the algorithm by using the router to implement 20 benchmark circuits to time-multiplexed FPGAs.We achieve a 38%smaller minimum channel width and 3.8%smaller circuit critical path delay compared with the state-of-the-art architecture router when a wire can be time-multiplexed six times in a cycle.展开更多
The paper proposes a low power non-volatile baseband processor with wake-up identification(WUI) receiver for LR-WPAN transceiver.It consists of WUI receiver,main receiver,transmitter,non-volatile memory(NVM) and power...The paper proposes a low power non-volatile baseband processor with wake-up identification(WUI) receiver for LR-WPAN transceiver.It consists of WUI receiver,main receiver,transmitter,non-volatile memory(NVM) and power management module.The main receiver adopts a unified simplified synchronization method and channel codec with proactive Reed-Solomon Bypass technique,which increases the robustness and energy efficiency of receiver.The WUI receiver specifies the communication node and wakes up the transceiver to reduce average power consumption of the transceiver.The embedded NVM can backup/restore the states information of processor that avoids the loss of the state information caused by power failure and reduces the unnecessary power of repetitive computation when the processor is waked up from power down mode.The baseband processor is designed and verified on a FPGA board.The simulated power consumption of processor is 5.1uW for transmitting and 28.2μW for receiving.The WUI receiver technique reduces the average power consumption of transceiver remarkably.If the transceiver operates 30 seconds in every 15 minutes,the average power consumption of the transceiver can be reduced by two orders of magnitude.The NVM avoids the loss of the state information caused by power failure and energy waste caused by repetitive computation.展开更多
As a virtual representation of a specific physical asset,the digital twin has great potential for realizing the life cycle maintenance management of a dynamic system.Nevertheless,the dynamic stress concentration is ge...As a virtual representation of a specific physical asset,the digital twin has great potential for realizing the life cycle maintenance management of a dynamic system.Nevertheless,the dynamic stress concentration is generated since the state of the dynamic system changes over time.This generation of dynamic stress concentration has hindered the exploitation of the digital twin to reflect the dynamic behaviors of systems in practical engineering applications.In this context,this paper is interested in achieving real-time performance prediction of dynamic systems by developing a new digital twin framework that includes simulation data,measuring data,multi-level fusion modeling(M-LFM),visualization techniques,and fatigue analysis.To leverage its capacity,the M-LFM method combines the advantages of different surrogate models and integrates simulation and measured data,which can improve the prediction accuracy of dynamic stress concentration.A telescopic boom crane is used as an example to verify the proposed framework for stress prediction and fatigue analysis of the complex dynamic system.The results show that the M-LFM method has better performance in the computational efficiency and calculation accuracy of the stress prediction compared with the polynomial response surface method and the kriging method.In other words,the proposed framework can leverage the advantages of digital twins in a dynamic system:damage monitoring,safety assessment,and other aspects and then promote the development of digital twins in industrial fields.展开更多
Background:With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtua...Background:With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space.In this work,a shape-performance integrated digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement.Methods:A finite element model(FEM)of the lumbar spine was firstly developed using computed tomography(CT)and constrained by the body movement which was calculated by the inverse kinematics algorithm.The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time.Finally,a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement.Results:The evaluation results presented an agreement(R-squared>0.8)between the real-time prediction from digital twin and offline FEM prediction.Conclusions:This approach provides an effective method of real-time planning and warning in spine rehabilitation.展开更多
A digital still camera image processing system on a chip, different from the video camera system, is pre- sented for mobile phone to reduce the power consumption and size. A new color interpolation algorithm is propos...A digital still camera image processing system on a chip, different from the video camera system, is pre- sented for mobile phone to reduce the power consumption and size. A new color interpolation algorithm is proposed to enhance the image quality. The system can also process fixed patten noise （FPN） reduction, color correction, gamma correction, RGB/YUV space transfer, etc. The chip is controlled by sensor regis- ters by inter-integrated circuit （I2C） interface. The voltage for both the front-end analog and the pad cir- cuits is 2.8 V, and the volatge for the image signal processing is 1.8 V. The chip running under the external 13.5-MHz clock has a video data rate of 30 frames/s and the measured power dissipation is about 75 roW.展开更多
On-skin digitalization,streamlining the concept of the“human to device to cyberspace”platform,has attracted great attention due to its vital function in remote medicine and human-cyber interfaces.Beyond traditional ...On-skin digitalization,streamlining the concept of the“human to device to cyberspace”platform,has attracted great attention due to its vital function in remote medicine and human-cyber interfaces.Beyond traditional rigid electrodes,soft electrodes with conformal and comfortable interfaces are essential for long-term and high-fidelity signal acquisition.In addition,the on-skin data processing systems will get rid of complex cables toward a vision of fascinating form,being lightweight,skin-friendly and even imperceptible.Although numerous soft materials and devices with mechanical tolerance have been developed,the study of conformal electrodes and on-skin digital integrated systems are still in infancy.Here,the requirements and designs of conformal electrodes,the emerging opportunities and challenges from multichannel/multifunctional sensors to a whole new on-skin sensing platform are highlighted.展开更多
基金Youth project under the National Social Science Foundation of China(15CJY054)key project in Philosophy and Social Sciences funded by the Chongqing Municipal Education Commission(22SKGH091)。
文摘This study aims to promote the optimization and upgrading of the economic structure in rural areas of China by focusing on the coupling coordination mechanism between digital economy–agriculture integration and rural revitalization.By examining panel data from 30 Chinese provinces,autonomous regions,and municipalities between 2011 and 2022,the research constructs a weight-based evaluation system that integrates subjective and objective methods and a coupling coordination model to reveal its dynamic evolution patterns.Key findings indicate that digital economy–agriculture integration and rural revitalization achieve cross-coupling through critical activities.The impact of digital-agriculture integration on advancing rural revitalization lags by 2–3 years.Although the coupling development degree between the two systems continues to improve,it remains at the stage of primary coordination.Regional disparities are significant,showing a gradient pattern of“high degree of coupling development in the east and low degree of coupling development in the west.”
文摘In the era of the digital economy,traditional supply chain finance models face challenges such as information fragmentation,inefficient processes,and insufficient credit transmission,necessitating digital transformation.This study focuses on Kweichow Moutai Group,systematically analyzing its innovative practices in supply chain finance and examining the mechanisms through which digital technologies enhance core enterprise credit empowerment,improve supply chain collaboration efficiency,and optimize risk management.The research reveals that Moutai Group has transformed supply chain finance from unilateral credit granting to ecosystem-based credit sharing by establishing an IoT-enabled asset verification platform,developing smart contract-driven bill financing systems,and building a blockchain-based multi-party credit alliance.This model significantly lowers financing barriers for small and medium-sized suppliers while creating new value chain growth points through data assetization strategies.Finally,the study proposes further improvements from the perspectives of technical standardization and adaptive regulatory frameworks.
文摘China and ASEAN have emerged as close partners in the digital economy,with extensive cooperation in key areas such as digital infrastructure,5G technology,artificial intelligence,and big data.The comprehensive implementation of the Regional Comprehensive Economic Partnership(RCEP)has provided institutional guarantees and regulatory benefits for China-ASEAN digital economic collaboration.This framework has enhanced the marginal effects of their digital economies,unlocked the potential of the digital market,and facilitated digital transformation and regional socio-economic development.Nevertheless,challenges remain,including the incomplete harmonization of trade rules and standards among ASEAN member states,uneven development of digital infrastructure,and the increasingly complex landscape of digital economic cooperation.To address these issues,future efforts should focus on creating a more conducive digital environment,accelerating the construction of digital infrastructure,fostering industrial innovation and complementary development,and promoting cross-sectoral collaboration in digital services.
基金supported by the Key Project of the Hainan Province Marxist Theory Research and Development Program,titled“Research on the Opportunities and Challenges of the Digital Economy Partnership Agreement(DEPA)for the Construction of the Hainan Free Trade Port”(Grant Number:2023HNMGC02).
文摘This study utilizes panel data from 293 Chinese cities at the prefecture level or above,spanning from 2013 to 2022,to empirically examine the net effects and underlying mechanisms of establishing pilot free trade zones(FTZs)on integration into the digital global value chain(DGVC).The results demonstrate that the establishment of pilot FTZs positively promotes integration into the DGVC and generates a spatial spillover effect.Compared to coastal areas and small-and medium-sized cities,pilot FTZs have a more significant impact on the integration of inland regions and large cities into the DGVC.Mechanism tests reveal that pilot FTZs drive integration into the DGVC primarily by promoting digital industry agglomeration and enhancing the technological content of exports.Furthermore,bilateral foreign direct investment and digital trade rules positively amplify the impact of pilot FTZs on integration into the DGVC.Therefore,this study recommends comprehensively deepening the development of pilot FTZs,consistently enhancing the technological content of exports,and proactively establishing a sound digital trade regulatory framework.These recommendations offer valuable insights for DGVC integration and the construction of a high-standard free trade network.
基金funded by the Arab Open University,Riyadh,Saudi Arabia.
文摘Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks(GANs).Deepfake technology has many useful uses in education and entertainment,but it also raises a lot of ethical,social,and security issues,such as identity theft,the dissemination of false information,and privacy violations.This study seeks to provide a comprehensive analysis of several methods for identifying and circumventing Deepfakes,with a particular focus on image-based Deepfakes.There are three main types of detection methods:classical,machine learning(ML)and deep learning(DL)-based,and hybrid methods.There are three main types of preventative methods:technical,legal,and moral.The study investigates the effectiveness of several detection approaches,such as convolutional neural networks(CNNs),frequency domain analysis,and hybrid CNN-LSTM models,focusing on the respective advantages and disadvantages of each method.We also look at new technologies like Explainable Artificial Intelligence(XAI)and blockchain-based frameworks.The essay looks at the use of algorithmic protocols,watermarking,and blockchain-based content verification as possible ways to stop certain things from happening.Recent advancements,including adversarial training and anti-Deepfake data generation,are essential because of their potential to alleviate rising concerns.This reviewshows that there aremajor problems,such as the difficulty of improving the capabilities of existing systems,the high running expenses,and the risk of being attacked by enemies.It stresses the importance of working together across fields,including academia,business,and government,to create robust,scalable,and ethical solutions.Themain goals of futurework should be to create lightweight,real-timedetection systems,connect them to large language models(LLMs),and put in place worldwide regulatory frameworks.This essay argues for a complete and varied plan to keep digital information real and build confidence in a time when media is driven by artificial intelligence.It uses both technical and non-technical means.
文摘Effective application of digital integrated management and maintenance systems is essential for successful operation and maintenance management of bridge projects.This article analyzes the application strategy of such systems.It provides an overview of comprehensive digital management and maintenance of bridges,an analysis of the basic components of the integrated management and maintenance system,and its application strategies.This study aims to offer guidance for the application of the system and to improve the quality of modern bridge engineering management and maintenance work.
基金funded by the National Key Research and Development Project of China(No.2016YFC0600509)the National Natural Science Foundation of China(Nos.41972312,41672329)the Project of China Geological Survey(No.1212011120341)。
文摘The idea of mineral exploration,which is called"exploration philosophy"in the Western countries,is the thoughts,the methodology,technology,goals and organization that guide mineral exploration.The three basic elements of mineral exploration are"what to find","where to find"and"how to find".The concept of mineral exploration is gradually changing with the development of these three elements that provide a powerful driving force to change mineral exploration concepts,methods and technology.Innovation of mineral exploration concepts is the result of continuing exploration and development keeping pace with the times.The combination of"mathematical geology"and"information technology"can be called"digital geology".Digital geology is the data analysis component of geological science.Geological data science is a science that uses the general methodology of data to study geology based on the characteristics of geological data and the needs of geological field work.Digital mineral exploration is the application of digital geology in mineral exploration to reduce ore-finding uncertainty.
文摘In all phases of forensic investigation, digital evidence is exposed to external influences and coming into contact with many factors. Legal admissibility of digital evidence is the ability of that evidence being accepted as evidence in a court of law. Life cycle of digital evidence is very complex. In each stage there is more impact that can violate a chain of custody and its integrity. Contact with different variables occurs through a life cycle of digital evidence and can disrupt its integrity. In order for the evidence to be accepted by the court as valid, chain of custody for digital evidence must be kept, or it must be known who exactly came into contact with evidence in each stage of the investigation. This paper presents a dynamics and life cycle of digital evidence. The Petri nets will be proposed and used for modeling and simulation of this process.
基金stage result of the youth project of the National Social Science Foundation of China——“Research on the Theoretical Development of Administrative Organisation Law in the Context of Institutional Reform”(Project No.19CFX020)。
文摘The inequality faced by the elderly in a digital society is the digital inequality caused by both public and private actions,as well as the societal inequality exacerbated by the digital inequality.The essence of this issue lies in the unequal social participation due to the expansion of digital space under digital inequality.The characteristics of the elderly,combined with their inherent human dignity,determine that the ultimate goal of protecting their right to equality in a digital society is not limited to equal digital rights alone.Instead,it aims to ensure that the elderly have equal opportunities for social participation in both digital and non-digital spaces by eliminating digital inequality and curbing the expansion of digital space.This ensures the autonomy of the elderly in the digital society.Accordingly,the State should implement two policies based on both prohibitive obligations that prevent direct infringements and protective obligations that safeguard the equal rights of the elderly against encroachments from private entities.The first policy,“Digital Integration”,empowers the elderly with digital skills and helps them actively integrate into the digital society.The second policy,“Digital Coexistence,”ensures that the elderly can equally participate in society even when they choose to abstain from digital technology.
基金supported by the National Social Science Foundation of China(Grant No.:13ATQ001)
文摘Purpose:The purpose of the research is to investigate public needs for digital information service in the Chinese libraries and museums and seek ways to help these public service institutions improve their service to meet user needs.Design/methodology/approach:An online questionnaire survey was used to study the publicneeds for digital information service provided by libraries and museums.A total of 474 valid questionnaires were retrieved for analysis.Findings:The primary purpose of using the digital library and museum service was for knowledge acquisition,followed by work or class assignment and leisure and entertainment.Users need one-stop information service that provides information and service in a more integrated form and allows cross-database searching as well.Research limitations:A majority of the respondents were young and middle-aged people who often use the Internet.We would need to increase our sample size and include different groups of users such as children and retirees to make the sample more representative.Practical implications:Libraries and museums should collaborate to provide the users with one-stop digital information service.Meanwhile,the research can serve as a reference source for the future studies of digital library and museum service.Originality/value:Few studies were published on the public needs for digital library and museum service in China.This study bridges the gap and contributes to our understanding of the Chinese users’ needs for digital information service in libraries and museums.
基金supported by the National Key R&D Program of China[2018YFC0808205]the National Natural Science Foundation of China[52075068].
文摘Background With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space.In this work,a digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement.Methods A finite element model(FEM)of the lumbar spine was firstly developed using computed tomography(CT)and constrained by the body movement which calculated by the inverse kinematics algorithm.The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time.Finally,a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement.Results The evaluation results presented an agreement(R^(2)>0.8)between the real-time prediction from digital twin and offline FEM prediction.Conclusions This approach provides an effective method of real-time planning and warning in spine rehabilitation.
文摘The integration of digital tools and effective knowledge management practices is critical for enhancing administrative efficiency and institutional continuity in higher education. This study investigates the relationships between knowledge modeling, institutional memory, leadership styles, technology, and administrative efficiency at the University of Cape Coast (UCC). The study sought to identify the challenges and opportunities in integrating digital tools into administrative processes and to provide actionable recommendations for improvement. A mixed-methods research design was employed, combining quantitative analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative thematic analysis of interviews. The findings revealed key challenges, including resistance to change, fragmented knowledge repositories, and inadequate funding, alongside opportunities such as centralized knowledge systems, cost-effective open-source tools, and capacity-building initiatives. The study highlights the importance of strategic leadership, robust policies, and investments in digital infrastructure to enhance administrative practices. Policy implications include the need for clear digital transformation guidelines and leadership training to foster innovation and collaboration. Recommendations include investing in scalable digital tools, implementing comprehensive capacity-building programs, and promoting stakeholder engagement to drive successful digital integration. These insights provide a roadmap for UCC and similar institutions seeking to optimize administrative efficiency through digital transformation.
文摘The IEEE Standard 1149.1 boundary scan (BS) implementation provides the internal access required for testing the digital printed circuit board (PCB). However, the integrity of the boundary scan test infrastructure should be tested first to guarantee the validation of the results of the rest functional test and diagnosis. This paper describes the fault models and test principles of the BS test access port (TAP) lines on PCBs. A test algorithm with high fault coverage and short time is then presented for the PCB on which all ICs are BS ones.
基金supported by NSFC with Grant No. 61702493, 51707191Science and Technology Planning Project of Guangdong Province with Grant No. 2018B030338001+2 种基金Shenzhen S&T Funding with Grant No. KQJSCX20170731163915914Basic Research Program No. JCYJ20170818164527303, JCYJ20180507182619669SIAT Innovation Program for Excellent Young Researchers with Grant No. 2017001
文摘Driven by continuous scaling of nanoscale semiconductor technologies,the past years have witnessed the progressive advancement of machine learning techniques and applications.Recently,dedicated machine learning accelerators,especially for neural networks,have attracted the research interests of computer architects and VLSI designers.State-of-the-art accelerators increase performance by deploying a huge amount of processing elements,however still face the issue of degraded resource utilization across hybrid and non-standard algorithmic kernels.In this work,we exploit the properties of important neural network kernels for both perception and control to propose a reconfigurable dataflow processor,which adjusts the patterns of data flowing,functionalities of processing elements and on-chip storages according to network kernels.In contrast to stateof-the-art fine-grained data flowing techniques,the proposed coarse-grained dataflow reconfiguration approach enables extensive sharing of computing and storage resources.Three hybrid networks for MobileNet,deep reinforcement learning and sequence classification are constructed and analyzed with customized instruction sets and toolchain.A test chip has been designed and fabricated under UMC 65 nm CMOS technology,with the measured power consumption of 7.51 mW under 100 MHz frequency on a die size of 1.8×1.8 mm^2.
文摘Previous studies show that interconnects occupy a large portion of the timing budget and area in FPGAs.In this work,we propose a time-multiplexing technique on FPGA interconnects.In order to fully exploit this interconnect architecture,we propose a time-multiplexed routing algorithm that can actively identify qualified nets and schedule them to multiplexable wires.We validate the algorithm by using the router to implement 20 benchmark circuits to time-multiplexed FPGAs.We achieve a 38%smaller minimum channel width and 3.8%smaller circuit critical path delay compared with the state-of-the-art architecture router when a wire can be time-multiplexed six times in a cycle.
基金supported in part by the National Natural Science Foundation of China(No.61306027)
文摘The paper proposes a low power non-volatile baseband processor with wake-up identification(WUI) receiver for LR-WPAN transceiver.It consists of WUI receiver,main receiver,transmitter,non-volatile memory(NVM) and power management module.The main receiver adopts a unified simplified synchronization method and channel codec with proactive Reed-Solomon Bypass technique,which increases the robustness and energy efficiency of receiver.The WUI receiver specifies the communication node and wakes up the transceiver to reduce average power consumption of the transceiver.The embedded NVM can backup/restore the states information of processor that avoids the loss of the state information caused by power failure and reduces the unnecessary power of repetitive computation when the processor is waked up from power down mode.The baseband processor is designed and verified on a FPGA board.The simulated power consumption of processor is 5.1uW for transmitting and 28.2μW for receiving.The WUI receiver technique reduces the average power consumption of transceiver remarkably.If the transceiver operates 30 seconds in every 15 minutes,the average power consumption of the transceiver can be reduced by two orders of magnitude.The NVM avoids the loss of the state information caused by power failure and energy waste caused by repetitive computation.
基金supported by the National Key R&D Program of China(Grant No.2018YFB1700704)the National Natural Science Foundation of China(Grant No.52075068).
文摘As a virtual representation of a specific physical asset,the digital twin has great potential for realizing the life cycle maintenance management of a dynamic system.Nevertheless,the dynamic stress concentration is generated since the state of the dynamic system changes over time.This generation of dynamic stress concentration has hindered the exploitation of the digital twin to reflect the dynamic behaviors of systems in practical engineering applications.In this context,this paper is interested in achieving real-time performance prediction of dynamic systems by developing a new digital twin framework that includes simulation data,measuring data,multi-level fusion modeling(M-LFM),visualization techniques,and fatigue analysis.To leverage its capacity,the M-LFM method combines the advantages of different surrogate models and integrates simulation and measured data,which can improve the prediction accuracy of dynamic stress concentration.A telescopic boom crane is used as an example to verify the proposed framework for stress prediction and fatigue analysis of the complex dynamic system.The results show that the M-LFM method has better performance in the computational efficiency and calculation accuracy of the stress prediction compared with the polynomial response surface method and the kriging method.In other words,the proposed framework can leverage the advantages of digital twins in a dynamic system:damage monitoring,safety assessment,and other aspects and then promote the development of digital twins in industrial fields.
基金This work was supported by the National Key R&D Program of China[2018YFC0808205]the National Natural Science Foundation of China[52075068].
文摘Background:With significant advancement and demand for digital transformation,the digital twin has been gaining increasing attention as it is capable of establishing real-time mapping between physical space and virtual space.In this work,a shape-performance integrated digital twin solution is presented to predict the real-time biomechanics of the lumbar spine during human movement.Methods:A finite element model(FEM)of the lumbar spine was firstly developed using computed tomography(CT)and constrained by the body movement which was calculated by the inverse kinematics algorithm.The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time.Finally,a three-dimensional virtual reality system was developed using Unity3D to display and record the real-time biomechanics performance of the lumbar spine during body movement.Results:The evaluation results presented an agreement(R-squared>0.8)between the real-time prediction from digital twin and offline FEM prediction.Conclusions:This approach provides an effective method of real-time planning and warning in spine rehabilitation.
基金supported by the National"863"Program of China under Grant No.2008AA01Z130
文摘A digital still camera image processing system on a chip, different from the video camera system, is pre- sented for mobile phone to reduce the power consumption and size. A new color interpolation algorithm is proposed to enhance the image quality. The system can also process fixed patten noise （FPN） reduction, color correction, gamma correction, RGB/YUV space transfer, etc. The chip is controlled by sensor regis- ters by inter-integrated circuit （I2C） interface. The voltage for both the front-end analog and the pad cir- cuits is 2.8 V, and the volatge for the image signal processing is 1.8 V. The chip running under the external 13.5-MHz clock has a video data rate of 30 frames/s and the measured power dissipation is about 75 roW.
基金funded by the National Research Foundation(NRF),Prime Minister's office,Singapore,under its NRF Investigatorship(NRF-NRFI2017-07).
文摘On-skin digitalization,streamlining the concept of the“human to device to cyberspace”platform,has attracted great attention due to its vital function in remote medicine and human-cyber interfaces.Beyond traditional rigid electrodes,soft electrodes with conformal and comfortable interfaces are essential for long-term and high-fidelity signal acquisition.In addition,the on-skin data processing systems will get rid of complex cables toward a vision of fascinating form,being lightweight,skin-friendly and even imperceptible.Although numerous soft materials and devices with mechanical tolerance have been developed,the study of conformal electrodes and on-skin digital integrated systems are still in infancy.Here,the requirements and designs of conformal electrodes,the emerging opportunities and challenges from multichannel/multifunctional sensors to a whole new on-skin sensing platform are highlighted.
