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In recent years, a great number of top conferences and workshops on artificial intelligence (AI) were held in China, showing Chinese AI plays an important role in the world. Meanwhile, Chinese government announced an ambitious scheme, “New Generation Artificial Intelligence Development Plan,” for the country to become a world leader in AI technologies by 2030. The AI research in China has covered various aspects, ranging from chips to algorithms. This chapter attempts to give an overview of the recent advances of AI research and development in China, as well as some perspectives on the future development of AI in China.

Disabled people are often disadvantaged groups with varying special needs. Therefore, acquiring knowledge, improving information literacy, and participating in social activities becomes a survival and development problem for many disabled people. As an information dissemination centre, libraries should assume the responsibilities and obligations of providing knowledge aids for the disabled. This paper aims to introduce the China Digital Library for Visual Impairment website, which provides knowledge services for people with visual impairment, and to describe and discuss its background, its construction, initial achievements, and future prospects.

The paper adopts a case study analysis method, which takes the website of China Digital Library for Visual Impairment (CDLVI) as an example, introducing its resources development, service manners, developing mechanism.

Based on the experiences of China Digital Library for Visual Impairment (CDLVI), the NLC will construct a perfect reading service system and knowledge network for the disabled, which provides personalized and convenient services, and creates good learning conditions for the whole special group of people with disabilities.

The paper provides an introduction to the CDLVI website, which provides services for people with visual impairment.

During the process of the robotic grinding and polishing operations on aero-engine blades, the key problem of calibration error lies in fixture error and uneven margin. To solve this problem, this paper aims to propose a novel method to achieve rapid online calibration of the workpiece coordinate system through laser-based measurement techniques.

The authors propose a calibration strategy based on point cloud registration algorithm. The main principle is presented as follows: aero blade mounted on clamping end-effector is hold by industry robot, the whole device is then scanned by a 3D laser scanner to obtain its surface point cloud, and a fast segmentation method is used to acquire the point cloud of the workpiece. Combining Super4PCS algorithm with trimmed iterative closest point, we can align the key points of the scanned point cloud and the sampled points of the blade model, thus obtaining the translation and rotation matrix for calculating the workpiece coordinate and machining allowance. The proposed calibration strategy is experimentally validated, and the positioning error, as well as the margin distribution, is finally analyzed.

The experimental results show that the algorithm can well accomplish the task of cross-source, partial data and similar local features of blade point cloud registration with high precision. The total time spent on point cloud alignment of 100,000 order of magnitude blade is about 4.2 s, and meanwhile, the average point cloud alignment error is reduced to below 0.05 mm.

An improved point cloud registration method is proposed and introduced into the calibration process of a robotic system. The online calibration technique improves the accuracy and efficiency of the calibration process and enhances the automation of the robotic grinding and polishing system.

The application of thermal barrier coatings (TBCs) allows aero-engine blades to operate at higher temperatures with higher efficiency. The preparation of the TBCs increases the surface roughness of the blade, which impacts the thermal cycle life and thermal insulation performance of the coating. To reduce the surface roughness of blades, particularly the blades with small size and complex curvature, this paper aims to propose a method for industrial robot polishing trajectory planning based on on-site measuring point cloud.

The authors propose an integrated robotic polishing trajectory planning method using point cloud processing technical. At first, the acquired point cloud is preprocessed, which includes filtering and plane segmentation algorithm, to extract the blade body point cloud. Then, the point cloud slicing algorithm and the intersection method are used to create a preliminary contact point set. Finally, the Douglas–Peucker algorithm and pose frame estimation are applied to extract the tool-tip positions and optimize the tool contact posture, respectively. The resultant trajectory is evaluated by simulation and experiment implementation.

The target points of trajectory are not evenly distributed on the blade surface but rather fluctuate with surface curvature. The simulated linear and orientation speeds of the robot end could be relatively steady over 98% of the total time within 20% reduction of the rest time. After polishing experiments, the coating roughness on the blade surface is reduced dramatically from Ra 7–8 µm to below Ra 1.0 µm. The removal of the TBCs is less than 100 mg, which is significantly less than the weight of the prepared coatings. The blade surface becomes smoothed to a mirror-like state.

The research on robotic polishing of aero-engine turbine blade TBCs is worthwhile. The real-time trajectory planning based on measuring point cloud can address the problem that there is no standard computer-aided drawing model and the geometry and size of the workpiece to be processed differ. The extraction and optimization of tool contact points based on point cloud features can enhance the smoothness of the robot movement, stability of the polishing speed and performance of the blade surface after polishing.

The modeling cost of the gradient-enhanced kriging (GEK) method is prohibitive for high-dimensional problems. This study aims to develop an efficient modeling strategy for the GEK method.

A two-step tuning strategy is proposed for the construction of the GEK model. First, an auxiliary kriging is built efficiently. Then, the hyperparameter of the kriging model is served as a good initial guess to that of the GEK model, and a local optimal search is further used to explore the search space of hyperparameter to guarantee the accuracy of the GEK model. In the construction of the auxiliary kriging, the maximal information coefficient is adopted to estimate the relative magnitude of the hyperparameter, which is used to transform the high-dimension maximum likelihood estimation problem into a one-dimensional optimization. The tuning problem of the auxiliary kriging becomes independent of the dimension. Therefore, the modeling efficiency can be improved significantly.

The performance of the proposed method is studied with analytic problems ranging from 10D to 50D and an 18D aerodynamic airfoil example. It is further compared with two efficient GEK modeling methods. The empirical experiments show that the proposed model can significantly improve the modeling efficiency without sacrificing accuracy compared with other efficient modeling methods.

This paper developed an efficient modeling strategy for GEK and demonstrated the effectiveness of the proposed method in modeling high-dimension problems.

The relationship between farm size and greenhouse gas (GHG) emissions has not been clearly defined. This paper aims to assess and compare the impact of farm size on greenhouse gas (GHG) emissions derived from wheat and maize production in the North China Plain (NCP), one of the most important agricultural regions in China.

A field survey through face-to-face interviews was conducted to collect the primary data, and life cycle assessment method, a worldwide comparable framework, was then adopted to characterize the farm-size effect on greenhouse gas (GHG) wheat and maize production in NCP.

It was confirmed that GHG emissions from N fertilizer production and use were the primary contributor to total carbon footprint (CF). As farm size increased, maize yield increased but wheat yield barely changed, while area-scaled and yield-scaled CF declined for both crops. These results were supposed to relate to utilize the inputs more efficiently resulting from increased application of modern agriculture methods on larger operations. It was also found maize not only had higher grain yields, but possessed much smaller CFs. More notably, the reduction of CF with farm size seemed to be more sensitive for maize as compared to wheat. To further mitigate GHG emissions, farm size should better be larger for wheat than for maize.

This study provides useful information guide for Chinese agriculture in increasing crop production, raising farm income and relieving environmental burdens caused by the misuse of agricultural resources.

In as much as it is contested, the Belt and Road Initiative (BRI) is also unexplored, underdiscussed, and, as a result, misunderstood. Frequently viewed through the lens of international relations and global economy, the diverse dimensions of collaboration, including business and research-industry clusters, that BRI enhances, tend to be excluded from the analysis. In a similar manner, the role of the Arab Peninsula in the grand strategy underpinning BRI and its implementation is rarely discussed. BRI is a forward-oriented initiative, an attempt to reap benefits of developments and circumstances that are only nascent. This bears two potent implications. First, as China attempts to influence the context in which it operates, it is subject to change itself; the Chinese business sector evolution attests to that. Second, some of China’s not so obvious partners of today, including those in the Arab Peninsula, are about to turn into key interlocutors of tomorrow. BRI taps into opportunities thus created. This chapter elaborates on these issues and, against this backdrop, outlines how the remaining chapters included in this volume add to this discussion.

The objective of this chapter is to analyze China’s outward foreign direct investment (OFDI) to the European Union in environmental industries.

We combine a narrative approach with statistical analysis. We first review the policy background concerning China’s OFDI and environmental protection. Then, we provide statistics on China’s OFDI to the EU in environmental industries, using firm-level data from one of China’s major provinces: Jiangsu.

We find that the OFDI to the EU in environmental industries experienced a considerable growth in terms of number of investing firms and investment value. The OFDI in environmental industries to the EU was highly concentrated in a few countries, particularly Germany and Luxemburg, and a few industries, particularly new energy.

Using firm-level data from only one province may limit the generalizability of our findings. However, we believe the case of Jiangsu province sheds much light on the situation of entire China because Jiangsu is one of the most important Chinese provinces in terms of OFDI.

The detailed analysis of our Jiangsu’s OFDI in EU’s environmental industries in this chapter can help to inform the investment cooperation in environmental industries between China and EU in terms of both scope of investment partners and target industries.

This study is one of the first to provide a detailed summary statistics on China’s OFDI to the EU in environmental industries. Given China’s growing concerns regarding environmental protection and OFDI, we believe the question merits further analysis.

Considerable research has been conducted on the comparative advantage of Chinese manufactured exports before 2000, but too little attention has been focused on the twenty‐first century. With this rapid growth of China's export volume since 2001, what is the change in comparative advantage? Have qualitative changes taken place? The purpose of this paper is to conduct a thorough analysis of the comparative advantage of Chinese manufactures from 2002 to 2009, not only within the world market but also in the US market.

The research is based on 144 manufactures' comparative advantage in the US and world market, displaying the distribution and variation range for the comparative advantage of Chinese manufactures at different technological levels in the 2002‐2009 period with the RCA Index. This paper classifies 144 kinds of manufactures (on Standard International Trade Classification, Rev. 3 data) by technology level into five general groups and nine small groups, which cover the majority of Chinese manufactured exports.

First, the authors found that types of Chinese manufactured products with comparative advantage in both world and US markets are increasing. Most of the products with comparative advantage are low technology (LT) products. Second, in the world market, the comparative advantage of Chinese medium technology (MT) products has largely improved, but their RCA indexes are low and their kinds of products with very high comparative advantage are small. Third, as a whole, Chinese manufactured exports are of greater comparative advantage in the world market than in the US market. Specifically, LT products have the same position in world and US markets, while MT products and high technology (HT) products obviously have a greater comparative advantage in the world market.

First, little research has been conducted on the comparative advantage of Chinese manufactured exports since 2001. This paper undertakes a thorough analysis of the comparative advantage of Chinese manufactures from 2002 to 2009, not only within the world market but also in the US market. Second, it is very important for China to stabilize the overseas market demand and secure exports, this paper shows how China could cope with a crisis.