The rapid advancement of technology has paved the way for innovative approaches to education.Artificial intelligence(AI),the Internet of Things(IoT),and cloud computing are three transformative technologies reshaping ...The rapid advancement of technology has paved the way for innovative approaches to education.Artificial intelligence(AI),the Internet of Things(IoT),and cloud computing are three transformative technologies reshaping how education is delivered,accessed,and experienced.These technologies enable personalized learning,optimize teaching processes,and make educational resources more accessible to learners worldwide.This paper examines the integration of these technologies into smart education systems,highlighting their applications,benefits,and challenges,and exploring their potential to bridge gaps in educational equity and inclusivity.展开更多
The key determinants of cloud computing provide a convincing argument for HEIs and its stakeholders to adopt the innovation. These benefits reflect the essential quality characteristics of the cloud, such as Broad net...The key determinants of cloud computing provide a convincing argument for HEIs and its stakeholders to adopt the innovation. These benefits reflect the essential quality characteristics of the cloud, such as Broad network Access;Measured Service;On-demand Self-Service;Rapid Elasticity;and Resource Pooling. However, there are also risks associated with the cloud, leading to non-adoption, such as Confidence, Privacy, Security, Surety and Trust. Understanding the impact of these factors can support multiple stakeholders, such as students, lecturers, senior managers and admins in their adoptive decision of CC in their respected institutions. Using the Multiview 3 (MV3) methodology, a research model was proposed to explore the key qualities and risks that determine the adoption or non-adoption of CC by UK HEIs from multiple perspectives. An exploratory qualitative study was conducted on 32 University stakeholders across 2 UK Universities. The findings suggest that security, privacy and trust are the key determinants to non-adoption as participants felt that the cloud cannot fully guarantee the safeguarding of sensitive information. Determinants to cloud adoption include improving relationships between students and teachers via collaborative tools, in addition to proposing cloud apps for mobile devices for accessing virtual learning materials and email securely off-campus. In conclusion, University stakeholders are still at a cross-road when it comes to cloud adoption, but future advances of the cloud may help to steer their decision to adopt this innovative technology given its overwhelming potential.展开更多
The rapid development of MEC and 5G technology has aroused huge repercussions and aroused the attention of education and industry.The storage of educational resources,energy consumption and delays in use have become u...The rapid development of MEC and 5G technology has aroused huge repercussions and aroused the attention of education and industry.The storage of educational resources,energy consumption and delays in use have become urgent issues.In response to the above problems,this paper proposes a three-tier education network model and abstracts the network modeling.At the same time,the DQN method in reinforcement learning is used to solve the modeling method and simulation.Finally,the simulation results show that this method can effectively improve the cache hit rate and reduce the network load.展开更多
In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resour...In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resource-oriented architectural thinking and cultivating students’literacy in design thinking,design patterns,and development methods.This paper introduces the foundations of service thinking with a brief review of service sciences,the core features of service thinking,and how to train service thinking of students.It also introduces a case study in Shandong University in the construction of a service computing curriculum system,especially how to highlight the cultivation of service thinking in the design of service software system.展开更多
The integration of large-scale foundation models(e.g.,GPT series and AlphaFold)into oncology is fundamentally transforming both research methodologies and clinical practices,driven by unprecedented advancements in com...The integration of large-scale foundation models(e.g.,GPT series and AlphaFold)into oncology is fundamentally transforming both research methodologies and clinical practices,driven by unprecedented advancements in computational power.This review synthesizes recent progress in the application of large language models to core oncological tasks,including medical imaging analysis,genomic interpretation,and personalized treatment planning.Underpinned by advanced computational infrastructures,such as graphics processing unit/tensor processing unit clusters,heterogeneous computing,and cloud platforms,these models enable superior representation learning and generalization across multimodal data sources.This review examines how these infrastructures overcome key bottlenecks in intelligent oncology through scalable optimization strategies,including mixed-precision training,memory optimization,and heterogeneous computing.Alongside these technical advancements,the review explores pressing challenges,such as data heterogeneity,limited model interpretability,regulatory uncertainties,and the environmental impact of artificial intelligence(AI)systems.Special emphasis is placed on emerging solutions,encompassing green AI and edge computing,which offer promising approaches for low-resource deployment scenarios.Additionally,the review highlights the critical role of interdisciplinary collaboration among oncology,computer science,ethics,and policy to ensure that AI systems are not only powerful but also transparent,safe,and clinically relevant.Finally,the review outlines potential avenues for future research aimed at developing robust,scalable,and human-centered frameworks for intelligent oncology.展开更多
Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age.As the demand for computational skills continues to grow in prepar...Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age.As the demand for computational skills continues to grow in preparation for future careers,both teachers and students face the challenge of developing problem-solving,critical thinking,communication,and collaboration skills within an emerging digital landscape.Technology adoption,big data,cloud computing and artificial intelligence pose ongoing challenges for both teachers and students in adapting to the changing workforce development landscape.To tackle these challenges,the paper highlights the importance of exploring the implications of learning sciences in classroom teaching,developing a holistic vision for professional development in education,and understanding the complexities of teacher change.To effectively implement these components,it is crucial to adopt design approaches that prioritize student ownership in education and embrace the principles of inclusive education to reconceptualize the teaching practices in education and technology.展开更多
This paper will begin by discussing the concept of learning autonomy.What follows is the rationale why learning autonomy is needed in language learning.It then will focus on the ways in which computer technology can f...This paper will begin by discussing the concept of learning autonomy.What follows is the rationale why learning autonomy is needed in language learning.It then will focus on the ways in which computer technology can foster language learning autonomy by checking different aspects of computer technology against the criteria that characterize leaning autonomy,followed by the analysis why this is possible in tertiary education.The conclusion of this paper will be some considerations of fostering learning autonomy via the computer technology.展开更多
This paper analyzes the requirement of professional computer talents in Chinese universities,and introduces the practice in innovative educational methods taken by Shandong University in an open and research environme...This paper analyzes the requirement of professional computer talents in Chinese universities,and introduces the practice in innovative educational methods taken by Shandong University in an open and research environment.In order to improve educational quality,we have carried out a serial of reforms,including "Four Experiences" aiming at diversifying study environments and fostering their adaptability and extending their vision.Students are encouraged to join "Research Assistant" program and participate in scientific projects to improve their ability in research and innovation.They also conduct "Engineering Practice" to learn latest modeling and programming skills.Compound talents characterized of solid foundation,high quality and strong practical ability are shaped through these initiatives.展开更多
Ideological and political education in courses refers to integrating the ideological and political education in non-ideological and political course teaching. The content of ideological and political education in cour...Ideological and political education in courses refers to integrating the ideological and political education in non-ideological and political course teaching. The content of ideological and political education in courses should focus on loving the Party, loving the country, loving socialism, loving the people, and loving the collective. Education on socialism with Chinese characteristics and the Chinese Dream, socialist core values, legal institution, labor, mental health and fine traditional Chinese culture will be integrated into the courses teaching. This paper takes the course “Computer Basis” as the object, explores the implementation plan of teaching reform of the basic courses for medical specialty under the background of ideological and political education in courses in the intelligent age.展开更多
Discrete element method can effectively simulate the discontinuity,inhomogeneity and large deformation and failure of rock and soil.Based on the innovative matrix computing of the discrete element method,the highperfo...Discrete element method can effectively simulate the discontinuity,inhomogeneity and large deformation and failure of rock and soil.Based on the innovative matrix computing of the discrete element method,the highperformance discrete element software MatDEM may handle millions of elements in one computer,and enables the discrete element simulation at the engineering scale.It supports heat calculation,multi-field and fluidsolid coupling numerical simulations.Furthermore,the software integrates pre-processing,solver,postprocessing,and powerful secondary development,allowing recompiling new discrete element software.The basic principles of the DEM,the implement and development of the MatDEM software,and its applications are introduced in this paper.The software and sample source code are available online(http://matdem.com).展开更多
In today’s digital era,algorithms have become an indispensable part of our daily lives and work.Algorithm education plays a crucial role in computer science and software engineering,aiming to cultivate students’prob...In today’s digital era,algorithms have become an indispensable part of our daily lives and work.Algorithm education plays a crucial role in computer science and software engineering,aiming to cultivate students’problem-solving skills and computational thinking.However,traditional algorithm education often requires significant time and efforts from teachers,lacks interactivity,and provides limited examples.The rapid advancement of AI technology,particularly generative models,and large language models(LLMs),has the potential to revolutionize computer education.Models like OpenAI’s GPT-4 and ChatGPT have conversational capabilities and contribute to various aspects of computer education.GPT-3.5,as an assistant in algorithm education,assists teachers in automatically generating explanations and algorithmic examples to enhance students’understanding of algorithms.While existing research has certain limitations,such as focusing on specific scenarios and lacking comprehensive benchmark testing,this paper explores the role of ChatGPT(GPT-3.5)in algorithm education.By refining prompts and evaluating generative capabilities,the study demonstrates that GPT-3.5 holds significant potential as a teaching aid.With an average accuracy of 0.81.GPT-3.5 can generate explanations,code examples,and visualizations of the corresponding algorithms.Other tests including algorithm problem-solving and examples giving also prove the practicability of GPT-3.5 in algorithm education.展开更多
Energy management benefits both consumers and utility companiesalike. Utility companies remain interested in identifying and reducing energywaste and theft, whereas consumers’ interest remain in lowering their energy...Energy management benefits both consumers and utility companiesalike. Utility companies remain interested in identifying and reducing energywaste and theft, whereas consumers’ interest remain in lowering their energyexpenses. A large supply-demand gap of over 6 GW exists in Pakistan asreported in 2018. Reducing this gap from the supply side is an expensiveand complex task. However, efficient energy management and distributionon demand side has potential to reduce this gap economically. Electricityload forecasting models are increasingly used by energy managers in takingreal-time tactical decisions to ensure efficient use of resources. Advancementin Machine-learning (ML) technology has enabled accurate forecasting ofelectricity consumption. However, the impact of computation cost affordedby these ML models is often ignored in favour of accuracy. This studyconsiders both accuracy and computation cost as concurrently significantfactors because together they shape the technology environment as well ascreate economic impact. Thus, a three-fold optimized load forecasting modelis proposed which includes (1) application specific parameters selection, (2)impact of different dataset granularities and (3) implementation of specificdata preparation. It deploys and compares the widely used back-propagationArtificial Neural Network (ANN) and Random Forest (RF) models for theprediction of electricity consumption of buildings within a university. In addition to the temporal and historical power consumption date as input parameters, the study also embeds weather data as well as university operationalcalendars resulting in improved performance. The outcomes are indicativethat the granularity i.e. the scale of details in data, and set of reduced and fullinput parameters impact performance accuracies differently for ANN and RFmodels. Experimental results show that overall RF model performed betterboth in terms of accuracy as well as computational time for a 1-min, 15-minand 1-h dataset granularities with the mean absolute percentage error (MAPE)of 2.42, 3.70 and 4.62 in 11.1 s, 1.14 s and 0.3 s respectively, thus well suitedfor a real-time energy monitoring application.展开更多
The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application...The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.展开更多
In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students ...In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students in an online mode and remotely carrying out research.The adoption of CC across various sectors,including HE,has been picking momentum in the developing countries in the last few years.In the Indian context,the CC adaptation in the HE sector(HES)remains a less thoroughly explored sector,and no comprehensive study is reported in the literature.Therefore,the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption(CCA)by HE institutions(HEIs)in India.The scope of the study is limited to public universities(PUs)in India.There are,in total,465 Indian PUs and among these 304 PUs,(i.e.,65%PUs)are surveyed using questionnaire-based research.The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model(TAM),Technology-Organization-Environment(TOE),and Diffusion of Innovation(DOI)in the context of the HES.This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling(SEM)and confirmatory factor analysis(CFA).The findings reveal that competitive advantage(CA),technology compatibility(TC),technology readiness(TR),senior leadership support,security concerns,government support,and vendor support are the significant contributing factors of CCA by Indian PUs.The study contends that whereas the rest of the factors positively affect the PUs’intention towards CCA,security concerns are a significant reason for the reluctance of these universities against adopting CC.The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs.Further,the study has given useful insights into the successful CCA by Indian PUs,which will facilitate eLearning and remote working during COVID-19 or similar outbreak.展开更多
With the advent of cloud computing technology, the development of mobile applications for use in several facets of life has been on the increase. This has been supported by the proliferation of mobile devices in the s...With the advent of cloud computing technology, the development of mobile applications for use in several facets of life has been on the increase. This has been supported by the proliferation of mobile devices in the society which is also being used in utilizing the prowess of the cloud technology. Building a mobile education system that is platform independent is a major challenge since most of the popularly used ones are either software dependent or hardware dependent. In this work, a framework for mobile education system that is cross platform in nature with regard to operating system, hardware and web browsers using the 3-tier Client/Server mobile application architecture built on web standard was developed and fully tested. A first year computer science course offered by more than 1000 students was used as input to validate the framework. An integration of Short Message Services (SMS), virtual classroom and e-assessment components enable students and lecturers to communicate, create discussion forum and carry out e-testing using their mobile devices. This work is strongly recommended for higher institutions in Nigeria that need to explore the use of mobile devices that are available with the majority of students. Only registered users can access the developed app via the use of handheld devices (smart-phones & tablets). This can actually improve learning, research and collaboration between students and lecturers thereby enhancing learning experience.展开更多
文摘The rapid advancement of technology has paved the way for innovative approaches to education.Artificial intelligence(AI),the Internet of Things(IoT),and cloud computing are three transformative technologies reshaping how education is delivered,accessed,and experienced.These technologies enable personalized learning,optimize teaching processes,and make educational resources more accessible to learners worldwide.This paper examines the integration of these technologies into smart education systems,highlighting their applications,benefits,and challenges,and exploring their potential to bridge gaps in educational equity and inclusivity.
文摘The key determinants of cloud computing provide a convincing argument for HEIs and its stakeholders to adopt the innovation. These benefits reflect the essential quality characteristics of the cloud, such as Broad network Access;Measured Service;On-demand Self-Service;Rapid Elasticity;and Resource Pooling. However, there are also risks associated with the cloud, leading to non-adoption, such as Confidence, Privacy, Security, Surety and Trust. Understanding the impact of these factors can support multiple stakeholders, such as students, lecturers, senior managers and admins in their adoptive decision of CC in their respected institutions. Using the Multiview 3 (MV3) methodology, a research model was proposed to explore the key qualities and risks that determine the adoption or non-adoption of CC by UK HEIs from multiple perspectives. An exploratory qualitative study was conducted on 32 University stakeholders across 2 UK Universities. The findings suggest that security, privacy and trust are the key determinants to non-adoption as participants felt that the cloud cannot fully guarantee the safeguarding of sensitive information. Determinants to cloud adoption include improving relationships between students and teachers via collaborative tools, in addition to proposing cloud apps for mobile devices for accessing virtual learning materials and email securely off-campus. In conclusion, University stakeholders are still at a cross-road when it comes to cloud adoption, but future advances of the cloud may help to steer their decision to adopt this innovative technology given its overwhelming potential.
文摘The rapid development of MEC and 5G technology has aroused huge repercussions and aroused the attention of education and industry.The storage of educational resources,energy consumption and delays in use have become urgent issues.In response to the above problems,this paper proposes a three-tier education network model and abstracts the network modeling.At the same time,the DQN method in reinforcement learning is used to solve the modeling method and simulation.Finally,the simulation results show that this method can effectively improve the cache hit rate and reduce the network load.
基金the support provided by the“New 20 Regulations for Universities”funding program of Jinan(202228089)the TaiS han Industrial Experts Programme(tscx202312128)。
文摘In recent years,service computing has been widely integrated into software development.Web service development,especially under the RESTful schema,needs to guide students in transferring from object-oriented to resource-oriented architectural thinking and cultivating students’literacy in design thinking,design patterns,and development methods.This paper introduces the foundations of service thinking with a brief review of service sciences,the core features of service thinking,and how to train service thinking of students.It also introduces a case study in Shandong University in the construction of a service computing curriculum system,especially how to highlight the cultivation of service thinking in the design of service software system.
文摘The integration of large-scale foundation models(e.g.,GPT series and AlphaFold)into oncology is fundamentally transforming both research methodologies and clinical practices,driven by unprecedented advancements in computational power.This review synthesizes recent progress in the application of large language models to core oncological tasks,including medical imaging analysis,genomic interpretation,and personalized treatment planning.Underpinned by advanced computational infrastructures,such as graphics processing unit/tensor processing unit clusters,heterogeneous computing,and cloud platforms,these models enable superior representation learning and generalization across multimodal data sources.This review examines how these infrastructures overcome key bottlenecks in intelligent oncology through scalable optimization strategies,including mixed-precision training,memory optimization,and heterogeneous computing.Alongside these technical advancements,the review explores pressing challenges,such as data heterogeneity,limited model interpretability,regulatory uncertainties,and the environmental impact of artificial intelligence(AI)systems.Special emphasis is placed on emerging solutions,encompassing green AI and edge computing,which offer promising approaches for low-resource deployment scenarios.Additionally,the review highlights the critical role of interdisciplinary collaboration among oncology,computer science,ethics,and policy to ensure that AI systems are not only powerful but also transparent,safe,and clinically relevant.Finally,the review outlines potential avenues for future research aimed at developing robust,scalable,and human-centered frameworks for intelligent oncology.
文摘Recent advancements in technology have opened up new avenues for educators to facilitate teaching and leverage more learning access in the digital age.As the demand for computational skills continues to grow in preparation for future careers,both teachers and students face the challenge of developing problem-solving,critical thinking,communication,and collaboration skills within an emerging digital landscape.Technology adoption,big data,cloud computing and artificial intelligence pose ongoing challenges for both teachers and students in adapting to the changing workforce development landscape.To tackle these challenges,the paper highlights the importance of exploring the implications of learning sciences in classroom teaching,developing a holistic vision for professional development in education,and understanding the complexities of teacher change.To effectively implement these components,it is crucial to adopt design approaches that prioritize student ownership in education and embrace the principles of inclusive education to reconceptualize the teaching practices in education and technology.
文摘This paper will begin by discussing the concept of learning autonomy.What follows is the rationale why learning autonomy is needed in language learning.It then will focus on the ways in which computer technology can foster language learning autonomy by checking different aspects of computer technology against the criteria that characterize leaning autonomy,followed by the analysis why this is possible in tertiary education.The conclusion of this paper will be some considerations of fostering learning autonomy via the computer technology.
文摘This paper analyzes the requirement of professional computer talents in Chinese universities,and introduces the practice in innovative educational methods taken by Shandong University in an open and research environment.In order to improve educational quality,we have carried out a serial of reforms,including "Four Experiences" aiming at diversifying study environments and fostering their adaptability and extending their vision.Students are encouraged to join "Research Assistant" program and participate in scientific projects to improve their ability in research and innovation.They also conduct "Engineering Practice" to learn latest modeling and programming skills.Compound talents characterized of solid foundation,high quality and strong practical ability are shaped through these initiatives.
文摘Ideological and political education in courses refers to integrating the ideological and political education in non-ideological and political course teaching. The content of ideological and political education in courses should focus on loving the Party, loving the country, loving socialism, loving the people, and loving the collective. Education on socialism with Chinese characteristics and the Chinese Dream, socialist core values, legal institution, labor, mental health and fine traditional Chinese culture will be integrated into the courses teaching. This paper takes the course “Computer Basis” as the object, explores the implementation plan of teaching reform of the basic courses for medical specialty under the background of ideological and political education in courses in the intelligent age.
基金Financial supports from the Natural Science Foundation of China(41761134089,41977218)Six Talent Peaks Project of Jiangsu Province(RJFW-003)the Fundamental Research Funds for the Central Universities(14380103)are gratefully acknowledged.
文摘Discrete element method can effectively simulate the discontinuity,inhomogeneity and large deformation and failure of rock and soil.Based on the innovative matrix computing of the discrete element method,the highperformance discrete element software MatDEM may handle millions of elements in one computer,and enables the discrete element simulation at the engineering scale.It supports heat calculation,multi-field and fluidsolid coupling numerical simulations.Furthermore,the software integrates pre-processing,solver,postprocessing,and powerful secondary development,allowing recompiling new discrete element software.The basic principles of the DEM,the implement and development of the MatDEM software,and its applications are introduced in this paper.The software and sample source code are available online(http://matdem.com).
基金funded by the Double First Class Graduate Quality Curriculum Construction Project of Shanghai Jiao Tong University。
文摘In today’s digital era,algorithms have become an indispensable part of our daily lives and work.Algorithm education plays a crucial role in computer science and software engineering,aiming to cultivate students’problem-solving skills and computational thinking.However,traditional algorithm education often requires significant time and efforts from teachers,lacks interactivity,and provides limited examples.The rapid advancement of AI technology,particularly generative models,and large language models(LLMs),has the potential to revolutionize computer education.Models like OpenAI’s GPT-4 and ChatGPT have conversational capabilities and contribute to various aspects of computer education.GPT-3.5,as an assistant in algorithm education,assists teachers in automatically generating explanations and algorithmic examples to enhance students’understanding of algorithms.While existing research has certain limitations,such as focusing on specific scenarios and lacking comprehensive benchmark testing,this paper explores the role of ChatGPT(GPT-3.5)in algorithm education.By refining prompts and evaluating generative capabilities,the study demonstrates that GPT-3.5 holds significant potential as a teaching aid.With an average accuracy of 0.81.GPT-3.5 can generate explanations,code examples,and visualizations of the corresponding algorithms.Other tests including algorithm problem-solving and examples giving also prove the practicability of GPT-3.5 in algorithm education.
基金This research is funded by Neurocomputation Lab, National Center ofArtificial Intelligence, NED University of Engineering and Technology, Karachi, 75270, Pakistan(PSDP.263/2017-18).
文摘Energy management benefits both consumers and utility companiesalike. Utility companies remain interested in identifying and reducing energywaste and theft, whereas consumers’ interest remain in lowering their energyexpenses. A large supply-demand gap of over 6 GW exists in Pakistan asreported in 2018. Reducing this gap from the supply side is an expensiveand complex task. However, efficient energy management and distributionon demand side has potential to reduce this gap economically. Electricityload forecasting models are increasingly used by energy managers in takingreal-time tactical decisions to ensure efficient use of resources. Advancementin Machine-learning (ML) technology has enabled accurate forecasting ofelectricity consumption. However, the impact of computation cost affordedby these ML models is often ignored in favour of accuracy. This studyconsiders both accuracy and computation cost as concurrently significantfactors because together they shape the technology environment as well ascreate economic impact. Thus, a three-fold optimized load forecasting modelis proposed which includes (1) application specific parameters selection, (2)impact of different dataset granularities and (3) implementation of specificdata preparation. It deploys and compares the widely used back-propagationArtificial Neural Network (ANN) and Random Forest (RF) models for theprediction of electricity consumption of buildings within a university. In addition to the temporal and historical power consumption date as input parameters, the study also embeds weather data as well as university operationalcalendars resulting in improved performance. The outcomes are indicativethat the granularity i.e. the scale of details in data, and set of reduced and fullinput parameters impact performance accuracies differently for ANN and RFmodels. Experimental results show that overall RF model performed betterboth in terms of accuracy as well as computational time for a 1-min, 15-minand 1-h dataset granularities with the mean absolute percentage error (MAPE)of 2.42, 3.70 and 4.62 in 11.1 s, 1.14 s and 0.3 s respectively, thus well suitedfor a real-time energy monitoring application.
文摘The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.
文摘In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students in an online mode and remotely carrying out research.The adoption of CC across various sectors,including HE,has been picking momentum in the developing countries in the last few years.In the Indian context,the CC adaptation in the HE sector(HES)remains a less thoroughly explored sector,and no comprehensive study is reported in the literature.Therefore,the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption(CCA)by HE institutions(HEIs)in India.The scope of the study is limited to public universities(PUs)in India.There are,in total,465 Indian PUs and among these 304 PUs,(i.e.,65%PUs)are surveyed using questionnaire-based research.The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model(TAM),Technology-Organization-Environment(TOE),and Diffusion of Innovation(DOI)in the context of the HES.This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling(SEM)and confirmatory factor analysis(CFA).The findings reveal that competitive advantage(CA),technology compatibility(TC),technology readiness(TR),senior leadership support,security concerns,government support,and vendor support are the significant contributing factors of CCA by Indian PUs.The study contends that whereas the rest of the factors positively affect the PUs’intention towards CCA,security concerns are a significant reason for the reluctance of these universities against adopting CC.The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs.Further,the study has given useful insights into the successful CCA by Indian PUs,which will facilitate eLearning and remote working during COVID-19 or similar outbreak.
文摘With the advent of cloud computing technology, the development of mobile applications for use in several facets of life has been on the increase. This has been supported by the proliferation of mobile devices in the society which is also being used in utilizing the prowess of the cloud technology. Building a mobile education system that is platform independent is a major challenge since most of the popularly used ones are either software dependent or hardware dependent. In this work, a framework for mobile education system that is cross platform in nature with regard to operating system, hardware and web browsers using the 3-tier Client/Server mobile application architecture built on web standard was developed and fully tested. A first year computer science course offered by more than 1000 students was used as input to validate the framework. An integration of Short Message Services (SMS), virtual classroom and e-assessment components enable students and lecturers to communicate, create discussion forum and carry out e-testing using their mobile devices. This work is strongly recommended for higher institutions in Nigeria that need to explore the use of mobile devices that are available with the majority of students. Only registered users can access the developed app via the use of handheld devices (smart-phones & tablets). This can actually improve learning, research and collaboration between students and lecturers thereby enhancing learning experience.
