Intelligent Manufacturing Engineers’Knowledge Transfer and Innovation Capability:From the Perspective of Big Data Acceptance Attitude

In the face of intelligent manufacturing(or smart manufacturing)human resource shortage,the training of industrial engineers in the field of intelligent manufacturing is of great significance.In academia,the positive link between learning transfer and knowledge innovation is recognized by most scholars,while the learner’s attitude toward big data decision-making,as a cognitive perception,affects learning transfer from the learner’s experienced engineering paradigm to the intelligent manufacturing paradigm.Thus,learning transfer can be regarded as a result of the learner’s attitude,and it becomes the intermediary state between their attitude and knowledge innovation.This paper reviews prior research on knowledge transfer and develops hypotheses on the relationships between learner acceptance attitude,knowledge transfer,and knowledge innovation.

Exploration of the Maturity Evaluation of College Students’Innovation and Entrepreneurship Projects Based on Computer Database Technology

The college innovation and entrepreneurship program is a powerful means to enhance students’innovation and entrepreneurship skills.Evaluating the maturity of innovation and entrepreneurship projects can stimulate students’enthusiasm and initiative to participate.Utilizing computer database technology for maturity evaluation can make the process more efficient,accurate,and convenient,aligning with the needs of the information age.Exploring strategies for applying computer database technology in the maturity evaluation of innovation and entrepreneurship projects offers valuable insights and directions for developing these projects,while also providing strong support for enhancing students’innovation and entrepreneurship abilities.

Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.

Study on Evaluation Indicators of Agricultural Science and Technology Project Based on the Perspective of Innovation——Case in Basic Research Project

Firstly,the related theories about agricultural science and technology innovation and project approval evaluation are combed and summarized. By combining application and finish books of science and technology support plan project in agricultural field of Ministry of Science and Technology with stronger innovation,case analysis and expert interview are conducted. Evaluation indexes of agricultural science and technology project based on innovation value are proposed initially,and there are 50 initial indexes. After that,via focus group talk,qualitative research is conducted to further adjust innovative evaluation indexes,and 50 initial indexes are deleted to 41. The importance of the 41 indexes is scored by the experts,and index screening and classification are conducted by verification factor analysis in structural equation model. It not only obtains index classification but also finds action mechanism among innovation demand,innovation mode,research thinking,treatment method of difficulty,and predicted risk. The research could straighten up ideas of project review experts in agricultural field and provide reference for applicant designing project.

Project Construction and Important Technical Innovation for Qinshan Phase Ⅲ (PHWR) Nuclear Power Plant

Qinshan Phase Ⅲ(PHWR)Nuclear Power Plant,the first commercial heavy water reactor nuclear power plant in China,was the biggest trade project performed between the governments of China and Canada.As the owner,the Third Qinshan Nuclear Power Company(TQNPC)persisted in independent innovation management during the project construction,commissioning and self-dependent operation,efficiently realizing the three controls of the project,i.e.quality control,schedule control and investment control,and persisted in technical improvement on the basis of digestion and absorption of CANDU-6 technology to improve the unit safety and reliability.The project construction practice has helped China's nuclear power project management to becomeprogrammed,computerized,standardized and internationalized management from the existing basis.After completion of the project,with unit safe and steady operation as the prerequisite,TQNPC performed several technical modifications and innovations to continuously improve the unit performance.In the area of staff development,TQNPC paid much attention to cultivation of corporate culture,strengthed staff training and built up a good circulating mechanism with staff training and project construction promoting each other.Further to "Zero Breakthrough" and a new step forward of locolization successfully realized in Qinshan Nuclear Power Plant and Nuclear Power Qinshan Joint Venture Company,the improvement and developemnt of nuclear power project management level in Qinshan Phase Ⅲ(PHWR)Nuclear Power Plant provided reference for promotion of nuclear power development in China and standardized management of introducing large imported project.

Construction and Practice of Cloud-based Experiment and Innovation Project Supporting Platform for Computer Science Education

Higher and more requirements on experiments and innovation projects of computer science courses is brought forward to promote the "Double First Class". For these requirements, the cloud-based experiment and innovation project supporting platform is introduced in this paper. On the one hand, the platform could satisfy the diversified resource requirements of both teachers and students in course experiments and innovation projects. On the other hand, the feature of "construct once and access anywhere" could achieve higher resource utilization rate and lower costs than the traditional "lab-based" experiment mode. The supporting platform has been applied to practice and gains a lot of positive feedbacks.

Big Data in Chinese Government Governance: Analysis of Decision-Making Model Innovation and Practice

The 19th National Congress of the Communist Party of China has put forward higher requirements for Chinese government governance. The government governance has developed to a higher stage. Meanwhile, it faces more challenges, like lack of top-level design and information sharing. To develop a government governance decision-making innovation model, we should make good use of big data to mine in the grassroots government data management network. Both the characteristics of the times and the experience of the practice have proven that big data can empower government governance and promote the construction of a service-oriented government.

Scientific and technological progress and innovation of Three Gorges Project

In the design,construction and operation periods of the Three Gorges Project (TGP),great challenges have been met in different fields such as water resources and hydropower project construction,electromechanical equipment manufacture and ecological environment protection.In view of the key techniques and difficulties in the construction period,scientific and technological breakthroughs have been made by the experts and scholars of various fields and a series of innovative achievements are gained,which make the scientific and technological levels in relevant fields improved.Some major innovative achievements in the construction and operation of TGP are enumerated,which are significant for the hydropower project construction and clean energy development in the future in China.

Public Management Innovation in the Age of Big Data

In the Internet age,computer technology and data analysis technology have been applied to the daily lives and work of the people.Big data technology has brought great influence to public management,providing efficient and convenient public services and improving the ability to cope with public opinion crises[1].However,in the actual public management process,there are widespread problems such as single practice and poor data openness.Based on this,the article expounds the relevant content of big data,introduces the role of big data in public management,and studies the public management innovation in the age of big data.

Public Management Innovation in the Era of Big Data

In the Internet era,computer technology and data analysis technology have been widely applied to people’s work and their daily lives.Big data technology has brought great influence to public management,providing efficient and convenient public services and improving the ability to cope with crises of public opinion[1].However,in the actual public management practice,there are widespread problems such as single practice model and poor data openness.Based on this,the article expounds the relevant contents of big data,introduces the role of big data in public management,and studies the public management innovation in the era of big data.

Discussion on the Implementation Path of Innovation and Entrepreneurship among College Students in the Context of Big Data

Information technology has assisted in the elevation of the development of human society,thereby accelerating the development process,altering the way of life of human beings,and also changing the way of thinking of human beings.The effect on human society is beyond words.For college students who collectively represent a group of entrepreneurs in the society,the use of big data technology for innovation and entrepreneurship has become the current development trend.The application of big data technology has provided convenience for entrepreneurial activities carried out by college students.In view of this,this article explores the implementation path of innovation and entrepreneurship among college students in the context of big data.At first,the paper introduces the advantages of innovation and entrepreneurship to college students in the era of big data,and then analyzes its current situation.Finally,the paper discusses the implementation path of innovation and entrepreneurship which can be used by the college students as a reference to carry out innovation and entrepreneurship activities.

Research on the Innovation of Personalized Education in Colleges and Universities under the Context of Big Data

The advent of the big data era has opened up unprecedented quantifiable dimensions for all walks of life,while also presented many opportunities and challenges.The widespread application of big data in the field of education will inevitably promote the innovation and transformation of the higher education in colleges and universities which introduce new opportunities and challenges to personalized education in colleges and universities.How to promote the indepth integration of big data and higher education to meet the needs of students’personalized development is one of the hot topics in the theoretical field today.In view of this,this article starts with explaining the connotation of personalized education in colleges and universities,analyzes the opportunities and challenges faced by personalized education in colleges and universities under the context of big data,and proposes the ideas of innovating personalized education in colleges and universities under the context of big data.

Research on Innovation of Ideological and Political Education Method in Colleges and Universities in Big Data Era

The era of big data has brought about tremendous changes in people's daily life, work and thinking patterns. The ideological and political education of colleges and universities has also faced opportunities and challenges. To this end, college ideological and political education workers must strengthen data awareness, innovate data dissemination methods, and transform research paradigms to meet the requirements of the development of the times. This requires universities to continue to innovate, advance with the times, and strive to use innovative methods to promote ideological and political work. Guided by Marxist theory and combined with relevant knowledge of pedagogy and educational psychology, this paper comprehensively and profoundly explores the impact of big data on people's life style, thinking mode and education. On this basis, the current situation and new ways of Ideological and political education in Colleges and universities in the era of big data are discussed in depth, with a view to providing effective reference for the industry.

FIRST 12 PILOT PROJECTS OF KNOWLEDGE INNOVATION PROGRAM INAUGURATED

After more than half a year of preparatory work, the CAS announced its initiation of 12 pilot projects on October 14, 1998 as the first step for starting the National Program of Knowledge Innovation (NPKI).

AN OUTLINE FOR CAS PILOT PROJECT OF KNOWLEDGE INNOVATION PROGRAM

Knowledge innovation and high-tech industrialization are focuses of competition among countries all over the world today. Yet, the innovation capacity of China is not compatible with her economic growth, leaving a big gap when compared with domestic demand and world standards.

Review of EU projects with a focus on environmental quality: Innovation, eco-innovation, and circular-economy elements

The primary objective of this study is to delve into transnational projects conducted between 2014 and 2020,with a strong emphasis on environmental quality.Our focus is directed toward projects that encompass either eco-innovation or feature elements intrinsic to a circular economy.To achieve this goal,we introduce a pioneering analytical framework tailored to dissect transnational projects,which intricately interweaves the diverse dimensions of environmental quality and innovation,facilitating a comparative assessment across various program classifications.Our approach aligns with the overarching mission of the four flagship initiatives,in which we evaluate the combined impacts on sustainability and innovation.This evaluation considers three fundamental factors:(1)resource allocation,(2)innovation type,and(3)infusion of eco-innovation or circular economy elements.Our methodology unfolds through a systematic,step-by-step progression.First,we meticulously handpick programs,specifically Interreg,Horizon,and Life projects,within the scope of TSG3(Environmental Quality).Each of these programs corresponds to one of the following four flagship initiatives:(1)overseeing and managing marine species,(2)fostering sustainable development in coastal and maritime zones,(3)safeguarding and elevating natural habitats and terrestrial ecosystems,and(4)formulating transnational contingency strategies for maritime accidents.Through an exhaustive review,we identify projects that either directly or indirectly champion eco-innovation or other facets of the circular economy.Concurrently,we uncover broader manifestations of innovation,eco-innovation,and circular economy principles.Employing the Oslo Manual as a guide,we methodically categorize these innovations into the product,process,organizational,and marketing domains.In the timeframe under scrutiny,a relatively modest subset of projects embraced eco-innovations and practices aligned with the circular economy.Our findings culminate in the formulation of practical implications to invigorate the integration of these dimensions.

Research on the Development of Project Cost Informatization in the Era of Big Data

Under the background of big data,Informatization plays an important role in the development of the engineering cost industry.The rapid development of the industry and the increasing complexity of construction projects require higher standards of informatization.The current information processing methods and models have been difficultly to meet new requirements.Based on this,this study deeply analyzes the key factors that impede the informatization of engineering cost development,and tries to find corresponding solutions through theoretical analysis and empirical research to break these constraints.This will play a guiding role in the development of informatization in China's engineering cost industry.

Management Innovation and Practice of Full Life Circle in Offshore Petroleum Exploration Target

Faced with the continued downturn of international oil price and increasing complexity of oil-gas geological conditions since 2013, CNOOC China Ltd., Zhanjiang has promoted management innovation of full life circle with the theme of “value to exploration-oriented”, establishing QC system of multiple-dimension exploration to make exploration target management standardized and institutionalized, putting forward new ideas, closed-loop management of “big data” in full life circle to make exploration target and decision flow informationized, generating comprehensive reserve method of exploration target optimization and quantifiable management mode of “probabilistic method” evaluated by experts, and establishing “optimal so-lution” to management decision model to manage optimal target combination to drill and bring about lean management of exploration deployment. All the management innovations and practices have been carried out in oilfields of western South China Sea successfully, with corporation’s exploration decision and deployment guided effectively, a great success of petroleum exploration, and remarkable economic as well as society benefits.

OSS Project Assessment Based on Discriminant Analysis and Jump Diffusion Process Model for Fault Big Data

The bug tracking system is well known as the project support tool of open source software. There are many categorical data sets recorded on the bug tracking system. In the past, many reliability assessment methods have been proposed in the research area of software reliability. Also, there are several software project analyses based on the software effort data such as the earned value management. In particular, the software reliability growth models can apply to the system testing phase of software development. On the other hand, the software effort analysis can apply to all development phase, because the fault data is only recorded on the testing phase. We focus on the big fault data and effort data of open source software. Then, it is difficult to assess by using the typical statistical assessment method, because the data recorded on the bug tracking system is large scale. Also, we discuss the jump diffusion process model based on the estimation method of jump parameters by using the discriminant analysis. Moreover, we analyze actual big fault data to show numerical examples of software effort assessment considering many categorical data set.