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This paper aims to facilitate the research and development of resilient navigation approaches, explore the robustness of adversarial training to different interferences and promote their practical applications in real complex environments.

In this paper, the authors first summarize the real accidents of self-driving cars and develop a set of methods to simulate challenging scenarios by introducing simulated disturbances and attacks into the input sensor data. Then a robust and transferable adversarial training approach is proposed to improve the performance and resilience of current navigation models, followed by a multi-modality fusion-based end-to-end navigation network to demonstrate real-world performance of the methods. In addition, an augmented self-driving simulator with designed evaluation metrics is built to evaluate navigation models.

Synthetical experiments in simulator demonstrate the robustness and transferability of the proposed adversarial training strategy. The simulation function flow can also be used for promoting any robust perception or navigation researches. Then a multi-modality fusion-based navigation framework is proposed as a light-weight model to evaluate the adversarial training method in real-world.

The adversarial training approach provides a transferable and robust enhancement for navigation models both in simulation and real-world.

This paper aims to develop a robust navigation enhancement framework to handle one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents.

In this paper, the main idea is to fully exploit the consistent features among spatio-temporal data and thus detect the anomalies and build residual channels to reconstruct the abnormal information. The authors first develop an anomaly detection algorithm, then followed by a corresponding disturbed information reconstruction network which has strong robustness to address both the nature disturbances and external attacks. Finally, the authors introduce a fully end-to-end resilient navigation performance enhancement framework to improve the driving performance of existing self-driving models under attacks and disturbances.

Comparison results on CARLA platform and real experiments demonstrate strong resilience of the authors’ approach which enhances the navigation performance under disturbances and attacks.

Reliable and resilient navigation performance under various nature disturbances and even external attacks is one of the most urgent needs for real applications of autonomous vehicles nowadays, as these corner cases act as the most commonly occurred risks in potential self-driving accidents. The information reconstruction approach provides a resilient navigation performance enhancement method for existing self-driving models.

Due to the conflicts between left turn traffic and opposite straight-going traffic in urban traffic network, some of the traffic lanes cannot be used to discharge vehicles during its green phases and the intersection capacity can be greatly reduced. This study/paper aims to reduce the effect of conflicts and increase its capacity through the reasonable pre-signal phase time with the exchangeable lanes.

This paper took into consideration various influence factors to intersection capacity and formulated the capacity optimization model based on 0-1 mixed-integer programming model. This model is efficiently solved by standard branch-and-bound algorithms.

The authors took an intersection as an example and solved the optimal signal timing and entrance lane capacity via this model. Then, simulations were carried out to verify the effect of the exchangeable lanes strategy of this intersection through the simulation software VISSIM and take the traffic volume and delay as outputs, which indicated that this model has better performance.

The front-end control strategy can not only exploit the full potential of the intersection but also significantly improve the operational efficiency of the intersection. It plays a positive role in improving urban intersection congestion.

This paper aims to propose an enhanced densely dehazing network to suit railway scenes’ features and improve the visual quality degraded by haze and fog.

It is an end-to-end network based on DenseNet. The authors design enhanced dense blocks and fuse them in a pyramid pooling module for visual data’s local and global features. Multiple ablation studies have been conducted to show the effects of each module proposed in this paper.

The authors have compared dehazed results on real hazy images and railway hazy images of state-of-the-art dehazing networks with the dehazed results in data quality. Finally, an object-detection test is taken to judge the edge information preservation after haze removal. All results demonstrate that the proposed dehazing network performs better under railway scenes in detail.

This study provides a new method for image enhancing in the railway monitoring system.

This paper aims to define the concept, composition, connotation, functional technology and development path of autonomous transportation systems (ATS) and provide theoretical basis and support for the construction and development of ATS.

The research analyzes the concept and connotation of ATS, studies the composition and structure of ATS, sorts out pillar function technology system including perception, digitization, interoperability, computing and integration in ATS hierarchically, and looks forward to the future development path of ATS from human participation and systems intelligence.

This paper puts forward the concept, composition, connotation and structure of ATS, proposes the pillar functional technology system of ATS and proposes four development stages of ATS.

The research can provide a theoretical and scientific basis for the high-quality, efficient, orderly construction and development of ATS.

With a fast-growing Muslim population and consumer income, the demand for halal products by Chinese Muslims has expanded strongly. However, literature addressing Chinese Muslims’ consumption is limited, and their demand for halal products is little understood. This study aims to investigate what affects Chinese Muslims’ demand for halal products, with a focus on halal personal care products.

A survey of 500 respondents was conducted to collect cross-sectional data in northwest China. Data were processed and analysed with a logit model.

Apart from faithfulness, reliability of recommendations, product price, product availability and halal authenticity are most important determinants influencing the purchase of halal products by Chinese Muslims.

In this study, the focus is only on Muslims from China’s Northwest. Due to various constraints, the cluster and convenience sampling methods are used.

The findings are invaluable for governments and industry bodies to form policies to better meet the burgeoning demand for halal products by Chinese Muslims. They are also very invaluable for producers and exporters who intend to penetrate the halal market in non-Muslim-dominant countries like China.

Studies on understanding the needs of Muslims in non-Muslim countries are limited. Given the sheer size of the Muslim population in China, understanding their demand for halal products and influential determinants concerning such demand adds to the literature and helps the industry to better serve and capitalise on the growing market.

Outside the US and Europe, to establish a good government requires more than Western-style democracy. Adopting universal suffrage fully from the Western model is no longer a panacea to reach the ultimate goal of good governance in the East, i.e., to keep promoting socio-economic renovation can be noted as a prerequisite to have further meaningful political advancement in an Asian polity. The purpose of this paper is to explain how to establish a good but authoritarian government in the East.

Given the good of comparative historical analysis, Lee Kuan Yew in Singapore and Deng Xiaoping in China are selected as both cases for “method of agreement.” Further including “argument based on the contrary” to form a context for macro-historical analysis, this paper outlines two characteristics of the duo’s authoritarian leadership, namely, Ideologies and Policy-making; and Political Modernization, and hence provides a more balanced reevaluation of their governance.

Apart from noting how these two Asian giants more or less contributed to their good but authoritarian governments for long in the twentieth century, such a word of authoritarianism to the duo was quite positive to help legitimize their governance, which was far different from many negative views of the Western world.

As theories put forward by Western academics could not entirely justify modernization among Asian societies in the twentieth century, this paper attempts to answer one question: Does the meaning of authoritarianism remain unchanged in the discourse of the East and the West?

To develop electrode materials for supercapacitor with superior electrochemical performance and simple preparation process, the purpose of this study is to prepare flexible CC/NiS/a-NiS electrodes with self-supporting structure by loading hydrothermally synthesized a-NiS particles along with nano-NiS on carbon cloth by electroplating method.

The effects of current densities, temperatures and pH values on the loading amount and uniformity of the active substances during the plating process were investigated on the basis of optimization of surface morphology, crystalline structure and electrochemical evaluation as the cyclic voltammetry curves, constant current charge–discharge curves and AC impedance.

The a-NiS particles on CC/NiS/a-NiS were mostly covered by the plated nano-NiS, which behaved as a bulge and provided a larger specific surface area. The CC/NiS/a-NiS electrode prepared with the optimized parameter exhibited a specific capacitance of 115.13 F/g at a current density of 1 A/g and a Coulomb efficiency of 84% at 5 A/g, which is superior to that of CC/NiS electrode prepared by electroplating at a current density of 10 mA/cm², a temperature of 55°C and a pH of 4, demonstrating its fast charge response of the electrode and potential application in wearable electronics.

This study provides an integrated solution for the development of specifically structured NiS-based electrode for supercapacitor with simple process, low cost and high electrochemical charge/discharge performance, and the simple and easy-to-use method is also applicable to other electrochemically active composites.

This chapter presents a review about the history of how China’s environmental legal framework was built up.

The chapter explores environmental legal framework development through two paths: political path and the associated judicial path. It tries to connect the political slogans of China, under each leadership since the “Opening Up” in 1978, to the legislative development on environmental issues.

Regardless of each leadership’s political slogans, China’s economic reform and legislative development had always revolved around the objective – “revive China and its economy in the world,” which had been set by Deng Xiaoping. The “sustainable development,” that as a guiding principle, has already been incorporated into Five-Year Plans as well as China’s environmental legislation since economic reform.

Compared with previous research on this area, the pragmatical approach of this investigation confirms the originality of the research. Literature on this topic, in fact, hardly investigates China’s environmental issue by combining the analysis of the political and the legal perspectives.