Search results

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.

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.

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.

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.

This paper aims to propose an online local trajectory planner for safe and fast trajectory generation that combines the jerk-limited trajectory (JLT) generation algorithm and the particle swarm optimization (PSO) algorithm. A trajectory switching algorithm is proposed to improve the trajectory tracking performance. The proposed system generates smooth and safe flight trajectories online for quadrotors.

First, the PSO algorithm method can obtain the optimal set of target points near the path points obtained by the global path searching. The JLT generation algorithm generates multiple trajectories from the current position to the target points that conform to the kinetic constraints. Then, the generated multiple trajectories are evaluated to pick the obstacle-free trajectory with the least cost. A trajectory switching strategy is proposed to switch the unmanned aerial vehicle (UAV) to a new trajectory before the UAV reaches the last hovering state of the current trajectory, so that the UAV can fly smoothly and quickly.

The feasibility of the designed system is validated through online flight experiments in indoor environments with obstacles.

The proposed trajectory planning system is integrated into a quadrotor platform. It is easily implementable onboard and computationally efficient.

The proposed local planner for trajectory generation and evaluation combines PSO and JLT generation algorithms. The proposed method can provide a collision-free and continuous trajectory, significantly reducing the required computing resources. The PSO algorithm locally searches for feasible target points near the global waypoint obtained by the global path search. The JLT generation algorithm generates trajectories from the current state toward each point contained by the target point set. The proposed trajectory switching strategy can avoid unnecessary hovering states in flight and ensure a continuous and safe flight trajectory. It is especially suitable for micro quadrotors with a small payload and limited onboard computing power.

The purpose of this paper is to develop a theoretical model to investigate the determinants of continuance intention toward social networking sites (SNSs) by integrating the perspectives of the uses and gratifications theory, perceived interactivity and network externalities.

Data collected from 255 Facebook users in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement model and the structural model.

The findings reveal that emotional gratifications and social gratifications are the key predictors of users’ continuance intention toward SNSs. Further, the results indicate that perceived network size, perceived complementarity, machine interactivity and person interactivity influence information gratifications significantly, while perceived complementarity, machine interactivity and person interactivity exert positive effects on emotional gratifications. Finally, the results show that machine interactivity and person interactivity impact social gratifications positively, whereas perceived network size and perceived complementarity affect machine interactivity and person interactivity significantly.

This study is one of the earliest research inquiries to examine the effects of various types of gratifications on continuance intention. It is also one of the earliest studies to identify the antecedents of gratifications from social factors and technological attributes simultaneously.

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.

This study aims to investigate the factors driving viewers' purchase intention in live-streaming by incorporating stimuli–organism–response (S–O–R) framework and extroversion–introversion personality perspectives.

Data collected from 228 users on live-streaming platforms in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement and the structural models.

Product attractiveness and trust in streamer significantly impacts purchase intention. The results also reveal that interactivity, breadth of information and uniqueness of information significantly impact product attractiveness, whereas social presence, breadth of information and uniqueness of information positively affect trust in streamer. Furthermore, streamer attractiveness has a greater effect on the purchase intention of extroverts.

This study investigates how the features of media, message and streamer impact purchase intention through their reactions to live-streaming. This research is also one of the earliest studies to examine the moderating role of extroversion–introversion personality on purchase intention and its antecedents in live-streaming commerce.