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With the rapid development of e-commerce, logistics demand is increasing day by day. The modern warehousing with a multi-agent system as the core comes into being. This paper aims to study the task allocation and path-planning (TAPP) problem as required by the multi-agent warehouse system.

The TAPP problem targets to minimize the makespan by allocating tasks to the agents and planning collision-free paths for the agents. This paper presents the Hierarchical Genetic Highways Algorithm (HGHA), a hierarchical algorithm combining optimization and multi-agent path-finding (MAPF). The top-level is the genetic algorithm (GA), allocating tasks to agents in an optimized way. The lower level is the so-called highways local repair (HLR) process, avoiding the collisions by local repairment if and only if conflicts arise.

Experiments demonstrate that HGHA performs faster and more efficient for the warehouse scenario than max multi-flow. This paper also applies HGHA to TAPP instances with a hundred agents and a thousand storage locations in a customized warehouse simulation platform with MultiBots.

This paper formulates the multi-agent warehousing distribution problem, TAPP. The HGHA based on hierarchical architecture solves the TAPP accurately and quickly. Verifying the HGHA by the large-scale multi-agent simulation platform MultiBots.

The purpose of this paper is to apply the theory of cultural diplomacy to explore and explain the role and function of the Confucius Institution project and its implications for understanding of China's soft power projection.

This paper first presents the theories of soft power and cultural diplomacy as an analytic framework. It then delineates an interpretative illustration of the CI project as a platform for China's cultural diplomacy. The paper concludes with a discussion of the CI project's implications for understanding of China's soft power projection.

The paper argues that the Confucius Institute project can be understood as a form of cultural diplomacy that is state‐sponsored and university‐piloted, a joint effort to gain China a more sympathetic global reception. As such, the Confucius Institution project involves a complex of soft power techniques. However, it is not entirely representative of soft power capability, because the problems embedded in the project and in the wider society run counter to the Chinese government's efforts to increase the Confucius Institutions’ attractiveness and popularity.

This article sheds light on Chinese universities in the role of “unofficial cultural diplomats.” On this topic, further research may need to explore more fundamental issues that bear far‐reaching significance and impact, i.e. the mechanics of Chinese university involvement in Confucius Institutes. Interesting questions arising from this study may help open up a wider spectrum of research topics for understanding the university‐state relationship, cross‐border higher education, as well as the possibilities and limits of educational globalization. At this stage, this article serves as a start to move scholarship in that direction.

We make use of the Volunteered Geographic Information (VGI) data to extract the total extent of the roads using remote sensing images. VGI data is often provided only as vector data represented by lines and not as full extent. Also, high geolocation accuracy is not guaranteed and it is common to observe misalignment with the target road segments by several pixels on the images. In this work, we use the prior information provided by the VGI and extract the full road extent even if there is significant mis-registration between the VGI and the image. The method consists of image segmentation and traversal of multiple agents along available VGI information. First, we perform image segmentation, and then we traverse through the fragmented road segments using autonomous agents to obtain a complete road map in a semi-automatic way once the seed-points are defined. The road center-line in the VGI guides the process and allows us to discover and extract the full extent of the road network based on the image data. The results demonstrate the validity and good performance of the proposed method for road extraction that reflects the actual road width despite the presence of disturbances such as shadows, cars and trees which shows the efficiency of the fusion of the VGI and satellite images.

Building upon the framework of glocalization, the purpose of this paper is to summarize the development of National Basketball Association (NBA) in Chinese market, explore its successful and unsuccessful places, and propose strategies of glocalization for the NBA as well as other overseas sport leagues.

The current case study was organized by summarizing the developmental history of NBA in China, analyzing its current promotional practices, investigating into its marketing strategies, and extrapolating practical references for other sport leagues aiming to penetrating into the Chinese marketplace.

The current case study concluded that when facing the current challenges, the NBA needs to bring authentic American cultural commodities while adding Chinese characteristics to accommodate local fans. Meanwhile, the NBA management needs to continue seeking ways to work out and through the differences in government models and cultural contexts between China and USA. In addition, this study suggested that the research framework of glocalization would be an ever intriguing inquiry needed for other sport organizations or leagues seeking expansion to overseas markets.

A thorough case study with the NBA that has achieved huge successes in Chinese markets will provide valuable implications for sport leagues to broaden their overseas markets.

China’s swift economic rise, as symbolized by the first Chinese Olympics and by surpassing Japan to become the world’s second largest economy despite the recent global financial meltdown, has been accompanied by a transformation of Chinese foreign policy behavior. After spending the last decade emphasizing China’s “peaceful rise” or “peaceful development,” Beijing has begun to expound its policy preferences and territorial claims more forthrightly, even assertively. The purpose of this chapter will be to consider the origins, consequences, and likely future of the new Chinese foreign policy in the wake of the leadership transition at the 18th Party Congress in 2012 and the 12th National People’s Congress in 2013.

The purpose of this paper is to examine the business-government nexus in Hong Kong as a special case, thereby contributing to a comparative examination of various significant variables affecting the study of political and economic developments in East Asia.

The paper considers the privileged position afforded to the major business groups in Hong Kong’s political system as part of the pro-Beijing United Front. It adopts a historical perspective, relying on existing literature including media reports. As the author is both an academic and a long-term pro-democracy activist, his actual experiences and extensive interviews with various important participants in Hong Kong’s business and political communities offer valuable perspectives.

In the past, the business-government nexus was perceived to be a positive factor that contributed to the territory’s economic growth. In the past decade or so, though, increasing dissatisfaction with the Hong Kong government’s performance and the widening gap between the rich and the poor have led to the emergence of a legitimacy deficit on the part of the government, resulting in rising demands for democracy which have not been met. Divisions on these issues within the local business community have posed a severe challenge to the continuation of the business-government nexus.

The author’s actual experiences and his interviews with other participants in Hong Kong’s politics provide observations of significant value. The Occupy Central campaign, which took off in the territory in 2014, demands serious consideration in terms of its political development and a key element for consideration is the response of the business-government nexus to it.

High-resolution remote sensing images possess a wealth of semantic information. However, these images often contain objects of different sizes and distributions, which make the semantic segmentation task challenging. In this paper, a bidirectional feature fusion network (BFFNet) is designed to address this challenge, which aims at increasing the accurate recognition of surface objects in order to effectively classify special features.

There are two main crucial elements in BFFNet. Firstly, the mean-weighted module (MWM) is used to obtain the key features in the main network. Secondly, the proposed polarization enhanced branch network performs feature extraction simultaneously with the main network to obtain different feature information. The authors then fuse these two features in both directions while applying a cross-entropy loss function to monitor the network training process. Finally, BFFNet is validated on two publicly available datasets, Potsdam and Vaihingen.

In this paper, a quantitative analysis method is used to illustrate that the proposed network achieves superior performance of 2–6%, respectively, compared to other mainstream segmentation networks from experimental results on two datasets. Complete ablation experiments are also conducted to demonstrate the effectiveness of the elements in the network. In summary, BFFNet has proven to be effective in achieving accurate identification of small objects and in reducing the effect of shadows on the segmentation process.

The originality of the paper is the proposal of a BFFNet based on multi-scale and multi-attention strategies to improve the ability to accurately segment high-resolution and complex remote sensing images, especially for small objects and shadow-obscured objects.