Exploration of the Construction and Path Selection of the Deep Integration Model of Industry-Education in Universities

Against the backdrop of continuous development in the field of education,universities are encouraged to innovate their talent cultivation systems and objectives.The deep integration of industry and education has emerged as an effective strategy,aligning with the basic requirements of the new engineering education initiative and exerting a positive impact on socioeconomic development.However,an analysis of the current state of industry-education integration in universities reveals several issues that require optimization,affecting the ultimate effectiveness of integration.To optimize this phenomenon and achieve high-quality development,universities need to further explore the construction of a deep integration model of industry and education,adhering to corresponding principles to form a comprehensive system.On this basis,pathways for deep industry-education integration can be summarized.

The Impact of Industry-Education Integration on College Students’ Motivation to Learn English under the TPACK Framework

This paper explores the impact of industry-education integration on students’motivation in college English courses under the TPACK(Technological Pedagogical Content Knowledge)framework using a comprehensive approach combining quantitative and qualitative methods.Quantitative data analysis indicates a significant positive correlation between the perception of industry-education integration and the level of student learning motivation.There is also a clear association between the perception scores of TPACK framework integration and learning motivation.Qualitative data analysis reveals students’positive experiences and recognition of the TPACK framework integration in practical application projects.The study concludes that industry-education integration and the TPACK framework play a crucial role in enhancing students’learning motivation.It suggests optimizing teaching practices through faculty training,designing practical application projects,and promoting student interaction.This comprehensive analysis provides substantial guidance for the future development of English courses.

Research on the Generation of Professional Skill Modules for Talent Cultivation in the Landscape Architecture Profession for Industry-Education Integration of Small and Medium-Sized Enterprises

Due to industry characteristics or regional limitations,many students in certain majors tend to seek employment in small and medium-sized enterprises(SMEs).SMEs face certain challenges in implementing industry-education integration,and there is a lack of mature methods in specific implementation processes and talent cultivation plan generation.Taking the landscape architecture profession as an example,this paper conducts a correlation analysis and cross-analysis of the industry-required professional skills based on surveys of over 300 industry practitioners employed in SMEs.It provides professional skill cultivation modules based on market feedback.This research process and analysis method have certain reference significance for the rapid production of adaptive talent cultivation professional skill modules in other industries targeting SMEs.

Discussion on the Talent Cultivation Strategy for Interior Design in Vocational Colleges from the Perspective of Industry-Education Integration

To further enhance the effectiveness of talent cultivation for interior design in vocational colleges,it is necessary to vigorously promote the construction of an industry-education integration model.Through this model,the roles of both enterprises and schools can be leveraged to jointly facilitate the continuous improvement of students’professional abilities and practical skills,providing a steady stream of high-quality talents for the development of the interior design field.Therefore,this paper analyzes the current issues in interior design talent cultivation in vocational colleges from the perspective of industry-education integration and proposes corresponding improvement measures.

Research on the Four Collaborative Innovation Mechanisms of Industry-education Integration Based on the Concept of Community

The concept of community is of great significance in guiding the innovation of the mechanism of industry-education integration,which can promote the integration of industry-education integration from"integration"to real"integration".We summarize the current situation of the development of industry-teaching integration mode through research,point out the"four deviations"in the development of industry-teaching integration,analyze the causes of deviations,and put forward the research strategy of"four synergistic"innovation mechanism for industry-teaching integration based on the concept of community,i.e.,synergistic development of community planning It proposes the research strategy of"four synergies"innovation mechanism based on the concept of community,namely the synergy of community planning and development,the synergy of community governance concept,the synergy of community multi-party educating mechanism,and the synergy of community fusion effect system,so as to establish collaborative ties,build a new form of cooperation concepts,safeguard the docking of talent supply and demand,and enhance the effect of integration of industry and education.

Research and Practice on the Construction of Municipal Industry-Education Consortium Based on the Integration of Industrial Chain,Innovation Chain,Talent Chain,and Education Chain

The construction of a municipal industry-education consortium is one of the important measures for the“one body,two wings,and five key points”reform of China’s modern vocational education system in the new era.It is of great significance for the integrated promotion of the three major national strategies of education,technology,and talent.Exploring the construction path of municipal industry-education consortia from the perspective of“four-chain integration”is essential for improving the quality of vocational education talents,comprehensively promoting local economic and social development,and serving the national strategy of revitalizing the country through science and education.The new generation of information technology industry-education consortium in Chengdu actively explores new paths of industry-education integration,science-education integration,and vocational-education integration.It has formed a“park+alliance”to establish a diversified collaborative construction and management mechanism,a“professional+industry”school-enterprise cooperation to promote industrial transformation and upgrading,a“teaching+research and development”to build an industry-university research innovation platform to empower high-quality development,and a“cultivation+employment”to explore a matrix style talent cultivation model,thus promoting regional governments,industries enterprises,and higher education institutions.Fully leveraging complementary advantages involves capitalizing on the spatial cluster effect.It requires a foundation in the education chain,guided by the industrial chain,activation of the innovation chain,establishment of a talent chain,enhancement of the value chain,and the promotion of a modern vocational education structure.This structure should align with market demand and industry structure,ultimately promoting regional economic and social development.

Preserving Data Secrecy and Integrity for Cloud Storage Using Smart Contracts and Cryptographic Primitives

Cloud computing has emerged as a viable alternative to traditional computing infrastructures,offering various benefits.However,the adoption of cloud storage poses significant risks to data secrecy and integrity.This article presents an effective mechanism to preserve the secrecy and integrity of data stored on the public cloud by leveraging blockchain technology,smart contracts,and cryptographic primitives.The proposed approach utilizes a Solidity-based smart contract as an auditor for maintaining and verifying the integrity of outsourced data.To preserve data secrecy,symmetric encryption systems are employed to encrypt user data before outsourcing it.An extensive performance analysis is conducted to illustrate the efficiency of the proposed mechanism.Additionally,a rigorous assessment is conducted to ensure that the developed smart contract is free from vulnerabilities and to measure its associated running costs.The security analysis of the proposed system confirms that our approach can securely maintain the confidentiality and integrity of cloud storage,even in the presence of malicious entities.The proposed mechanism contributes to enhancing data security in cloud computing environments and can be used as a foundation for developing more secure cloud storage systems.

Cloud edge integrated security architecture of new cloud manufacturing system

With the rapid development of cloud manufacturing technology and the new generation of artificial intelligence technology,the new cloud manufacturing system(NCMS)built on the connotation of cloud manufacturing 3.0 presents a new business model of“Internet of everything,intelligent leading,data driving,shared services,cross-border integration,and universal innovation”.The network boundaries are becoming increasingly blurred,NCMS is facing security risks such as equipment unauthorized use,account theft,static and extensive access control policies,unauthorized access,supply chain attacks,sensitive data leaks,and industrial control vulnerability attacks.Traditional security architectures mainly use information security technology,which cannot meet the active security protection requirements of NCMS.In order to solve the above problems,this paper proposes an integrated cloud-edge-terminal security system architecture of NCMS.It adopts the zero trust concept and effectively integrates multiple security capabilities such as network,equipment,cloud computing environment,application,identity,and data.It adopts a new access control mode of“continuous verification+dynamic authorization”,classified access control mechanisms such as attribute-based access control,rolebased access control,policy-based access control,and a new data security protection system based on blockchain,achieving“trustworthy subject identity,controllable access behavior,and effective protection of subject and object resources”.This architecture provides an active security protection method for NCMS in the digital transformation of large enterprises,and can effectively enhance network security protection capabilities and cope with increasingly severe network security situations.

Research on the Talent Training Mode of Early Education Specialty Under the Background of Industry-Education Integration

With the continuous progress of the society and the rapid development of the industry,the talent training mode of early education has become an important commodity of education reform.Under the background of the integration of industry and education,the training direction of early education professionals needs to be adjusted and planned.The practice of industry-education integration requires the deep combination of early education specialty with early education institutions and the technical standards of the equivalent industry,so as to build a high-quality platform for the growth of early education professionals.This paper focuses on the current situation of the integration of industry and education,and then makes an in-depth analysis on several reform strategies,so as to lay a solid foundation for the training of early education talents.

Research on Application-oriented Undergraduate Course Construction under the Background of Industry-education Integration——Take the Performance Management Course as an Example

Deepening the integration of industry and education is an effective way to cultivate high-quality applied talents.However,integration of industry and education is still at a relatively low level,and the mode is relatively single,without realizing the deep integration of collaborative education and industry.This paper takes the course"Performance Management"of Human Resource Management as an example to build an industry-education integration system with curriculum construction as a carrier.We introduce enterprise tutors and enterprise scenarios from the aspects of teaching syllabus,teaching content,teaching design,teaching process,teaching resources,and teaching evaluation to study the construction of professional courses under the background of industry-education integration.Through the Performance Management course study,we summarize the methods and modes of industry-education integration in human resource management(HRM)courses and extend and apply the research results to other courses of HRM majors to complete the construction of courses aiming at industry-education integration in HRM majors.

Blockchain and Data Integrity Authentication Technique for Secure Cloud Environment

Nowadays,numerous applications are associated with cloud and user data gets collected globally and stored in cloud units.In addition to shared data storage,cloud computing technique offers multiple advantages for the user through different distribution designs like hybrid cloud,public cloud,community cloud and private cloud.Though cloud-based computing solutions are highly con-venient to the users,it also brings a challenge i.e.,security of the data shared.Hence,in current research paper,blockchain with data integrity authentication technique is developed for an efficient and secure operation with user authentica-tion process.Blockchain technology is utilized in this study to enable efficient and secure operation which not only empowers cloud security but also avoids threats and attacks.Additionally,the data integrity authentication technique is also uti-lized to limit the unwanted access of data in cloud storage unit.The major objec-tive of the projected technique is to empower data security and user authentication in cloud computing environment.To improve the proposed authentication pro-cess,cuckoofilter and Merkle Hash Tree(MHT)are utilized.The proposed meth-odology was validated using few performance metrics such as processing time,uploading time,downloading time,authentication time,consensus time,waiting time,initialization time,in addition to storage overhead.The proposed method was compared with conventional cloud security techniques and the outcomes establish the supremacy of the proposed method.

Cloud Resource Integrated Prediction Model Based on Variational Modal Decomposition-Permutation Entropy and LSTM

Predicting the usage of container cloud resources has always been an important and challenging problem in improving the performance of cloud resource clusters.We proposed an integrated prediction method of stacking container cloud resources based on variational modal decomposition(VMD)-Permutation entropy(PE)and long short-term memory(LSTM)neural network to solve the prediction difficulties caused by the non-stationarity and volatility of resource data.The variational modal decomposition algorithm decomposes the time series data of cloud resources to obtain intrinsic mode function and residual components,which solves the signal decomposition algorithm’s end-effect and modal confusion problems.The permutation entropy is used to evaluate the complexity of the intrinsic mode function,and the reconstruction based on similar entropy and low complexity is used to reduce the difficulty of modeling.Finally,we use the LSTM and stacking fusion models to predict and superimpose;the stacking integration model integrates Gradient boosting regression(GBR),Kernel ridge regression(KRR),and Elastic net regression(ENet)as primary learners,and the secondary learner adopts the kernel ridge regression method with solid generalization ability.The Amazon public data set experiment shows that compared with Holt-winters,LSTM,and Neuralprophet models,we can see that the optimization range of multiple evaluation indicators is 0.338∼1.913,0.057∼0.940,0.000∼0.017 and 1.038∼8.481 in root means square error(RMSE),mean absolute error(MAE),mean absolute percentage error(MAPE)and variance(VAR),showing its stability and better prediction accuracy.

基于SpringCloud框架微服务架构的融合媒体云平台设计

设计基于SpringCloud框架微服务架构的融合媒体云平台,提高媒体业务流程效率。对SpringCloud的基本情况与相关组件进行概述,提出融合媒体云平台设计思路与原则,以此为基础构建有三层服务层的融合媒体云平台,设计融合媒体云平台的安全,基于“一次采集、多种生成、多元传播”的融合媒体云平台设计思路,最终构成融合媒体云平台的业务流程。

Sec-Auditor:A Blockchain-Based Data Auditing Solution for Ensuring Integrity and Semantic Correctness

Currently,there is a growing trend among users to store their data in the cloud.However,the cloud is vulnerable to persistent data corruption risks arising from equipment failures and hacker attacks.Additionally,when users perform file operations,the semantic integrity of the data can be compromised.Ensuring both data integrity and semantic correctness has become a critical issue that requires attention.We introduce a pioneering solution called Sec-Auditor,the first of its kind with the ability to verify data integrity and semantic correctness simultaneously,while maintaining a constant communication cost independent of the audited data volume.Sec-Auditor also supports public auditing,enabling anyone with access to public information to conduct data audits.This feature makes Sec-Auditor highly adaptable to open data environments,such as the cloud.In Sec-Auditor,users are assigned specific rules that are utilized to verify the accuracy of data semantic.Furthermore,users are given the flexibility to update their own rules as needed.We conduct in-depth analyses of the correctness and security of Sec-Auditor.We also compare several important security attributes with existing schemes,demonstrating the superior properties of Sec-Auditor.Evaluation results demonstrate that even for time-consuming file upload operations,our solution is more efficient than the comparison one.

A Framework for Cloud Validation in Pharma

The pharmaceutical industry’s increasing adoption of cloud-based technologies has introduced new challenges in computerized systems validation (CSV). This paper explores the evolving landscape of cloud validation in pharmaceutical manufacturing, focusing on ensuring data integrity and regulatory compliance in the digital era. We examine the unique characteristics of cloud-based systems and their implications for traditional validation approaches. A comprehensive review of current regulatory frameworks, including FDA and EMA guidelines, provides context for discussing cloud-specific validation challenges. The paper introduces a risk-based approach to cloud CSV, detailing methodologies for assessing and mitigating risks associated with cloud adoption in pharmaceutical environments. Key considerations for maintaining data integrity in cloud systems are analyzed, particularly when applying ALCOA+ principles in distributed computing environments. The article presents strategies for adapting traditional Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ) models to cloud-based systems, highlighting the importance of continuous validation in dynamic cloud environments. The paper also explores emerging trends, including integrating artificial intelligence and edge computing in pharmaceutical manufacturing and their implications for future validation strategies. This research contributes to the evolving body of knowledge on cloud validation in pharmaceuticals by proposing a framework that balances regulatory compliance with the agility offered by cloud technologies. The findings suggest that while cloud adoption presents unique challenges, a well-structured, risk-based approach to validation can ensure the integrity and compliance of cloud-based systems in pharmaceutical manufacturing.

基于“Vue+Spring Cloud”的教学一体化平台设计与实现

当今社会,教育是推动社会进步的关键要素之一,而提高教育质量一直是教育界难以应对的挑战。文章旨在利用微服务思维建立一个稳定、功能完善且质量高的教学一体化平台。平台前端采用Vue框架,后端基于Spring Boot的Spring Cloud框架,将教学、学习和管理等功能整合到一个统一的系统中,为教育工作者和学生提供一个全新的教学环境。该平台力求满足学习者的学习需求,有效激发学习兴趣,帮助教师改善教学效果,协助课堂管理,增强教学互动性和趣味性。

Research on Innovation and Entrepreneurship Education Reform in Local Colleges and Universities under the Background of Industry-Education Integration

With the continuous development of China’s economy and the continuous upgrading of market demand,the demand for talent in enterprises and industries is increasingly diversified and complex,especially innovation ability has become one of the important standards to measure the quality of talent.At the same time,the difficult employment of college students is still serious,the state has issued a series of policies to encourage college students to actively start their own businesses.In this context,local universities,as an important part of higher education,are facing the critical task of innovation and entrepreneurship education reform.This paper aims to explore the current situation,problems,and reform paths of innovation and entrepreneurship education reform in local universities under the background of the integration of industry and education,in order to improve the training quality of innovative and entrepreneurial talents.

Dynamic and Integrated Load-Balancing Scheduling Algorithm for Cloud Data Centers

One of the challenging scheduling problems in Cloud data centers is to take the allocation and migration of reconfigurable virtual machines as well as the integrated features of hosting physical machines into consideration. We introduce a Dynamic and Integrated Resource Scheduling algorithm (DAIRS) for Cloud data centers. Unlike traditional load-balance scheduling algorithms which often consider only one factor such as the CPU load in physical servers, DAIRS treats CPU, memory and network bandwidth integrated for both physical machines and virtual machines. We develop integrated measurement for the total imbalance level of a Cloud datacenter as well as the average imbalance level of each server. Simulation results show that DAIRS has good performance with regard to total imbalance level, average imbalance level of each server, as well as overall running time.

An Efficient Method for Checking the Integrity of Data in the Cloud

Cloud computing and storage services allow clients to move their data center and applications to centralized large data centers and thus avoid the burden of local data storage and maintenance.However,this poses new challenges related to creating secure and reliable data storage over unreliable service providers.In this study,we address the problem of ensuring the integrity of data storage in cloud computing.In particular,we consider methods for reducing the burden of generating a constant amount of metadata at the client side.By exploiting some good attributes of the bilinear group,we can devise a simple and efficient audit service for public verification of untrusted and outsourced storage,which can be important for achieving widespread deployment of cloud computing.Whereas many prior studies on ensuring remote data integrity did not consider the burden of generating verification metadata at the client side,the objective of this study is to resolve this issue.Moreover,our scheme also supports data dynamics and public verifiability.Extensive security and performance analysis shows that the proposed scheme is highly efficient and provably secure.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.