CCPIT Builds Innovation Platform to Benefit Enterprise with FTA Policies

On Aug.28,at the CCPIT regular press conference,Yan Yun,deputy director of CCPIT Commerce Legal Service Center,said that to promote the implementation of free trade agreement between China and South Korea,China and Australia,CCPIT Commerce Legal Service Center will improve its services,innovate its service platform and offer FTA favorable policy support to more enterprise.

Local Governments as an Integrative Organizer:The Policy Practice of Constructing Innovation Platforms in South China

Based on an in-depth study of one city district and four new investment projects in South China,this article analyses the implementation practice of innovation policy by Chinese local governments.It is found that at the regional level,innovation policy as practice is a highly mixed-up and integrated process composed of steps from targeting emerging industries,to constructing platforms,and to developing new clusters,during which the most important policy concept of“innovation platform”is used in a distinctive way by local governments to effectively foster regional innovation-oriented development.In general,the local government intervenes heavily in or even“manages”every step of the implementation process with specific policy approach and instrument.Managing regional development as a whole process of innovation,the entrepreneurial Chinese local government indeed plays a role of meso-level organizer equivalent to the innovation project manager in business sector.These new practical approaches of regional innovation development with Chinese characteristics can inspire other emerging and catch-up economies for their policy making in five aspects.

A Study on Idea Adoption Prediction Model Based on SMOTE-AdaBoost:Taking Salesforce Platform as an Example

In the context of information overload,companies often struggle to effectively identify valuable ideas on their open innovation platforms.In this article,we propose an idea adoption strategy based on machine learning.We used data from a well-known open innovation platform,Salesforce,and extracted characteristic variables using the Information Adoption Model.Four classification models were then constructed based on AdaBoost,Random Forest,SVM and Logistic Regression models.Due to significant differences in the number of positive and negative samples in the OIP,we used the SMOTE method to address the problem of data imbalance.The results of the study showed that the ensemble learning models were more accurate in identifying valuable ideas than the individual machine learning models.When comparing the two ensemble learning models,AdaBoost outperformed Random Forest in predicting both positive and negative class samples.The SMOTE-AdaBoost model achieved a recall of 0.93,a precision of 0.92 and an impressive AUC of 0.98 in identifying adopted ideas,which could well identify valuable ideas and has implications for improving the efficiency and quality of idea adoption in OIP.The shortcoming of this work is that it only investigated a single platform.In the future,we will consider extending this method to different platforms and multiple classification problems.

工业过程先进控制综合实践平台建设与运行探讨

面对过程控制领域面临的技术课题和过程控制本身应用性很强的特点,提出构建工业过程先进控制综合实践平台,给出了平台建设规划和具体运作思路。构建的过程控制平台功能全面,涵盖过程建模及仿真、控制系统结构设计、控制策略分析、网络化控制系统研究等功能。在实践平台运作上,注重实践和理论课衔接,实现有序开展,注重教学科研互动,保证实践平台的可持续发展。以过程控制课程的开展为案列,论证了平台在教学、科研等方面的积极作用。