A Research on the Construction of International Training Course for Maritime Talents Based on the Initiative of ＂One Belt and One Road＂

Based on the initiative of ＂One Belt and One Road＂ and the demand analysis of the international shipping market for high-quality maritime talents with good skills of communicating ability and international vision, this paper analyzes the feasibility, necessity, construction goal, construction principle, construction content, tutorial setting, tutorial structure and tutorial demonstration and explore how＂ to make China maritime universities＇ have ability to train the international students in an efficient and orderly manner; by investigating the relevant enterprises and institutions, and presents a plan for the construction of ＂One Hundred Courses, One Thousand Class-Hours＂.

Driving Force and Popularization Value on Guangzhou Higher Education Internationalization under the Background of National Strategy ＂One Belt ＆ One Road＂

With the impetus of the WTO and the further opening of China＇s international service trade in education, this paper is based on the background of China＇s national strategy ＂one belt ＆ one road＂, analyzing Guangzhou higher education, its internationalization driving force and popularization value, ranging from the perspectives of higher education resources excess, the domestic university funding cuts, and the transnational education services output in developed countries to alleviate its school funds shortage to further introduction of foreign high-quality educational resources due to not fully meeting the requirements of domestic demand in developing and less developed countries, with expectation to promote the development of education internationalization healthily and orderly.

Management of Chinese Foreign Direct Investment：＂One Belt, One Road＂ Across Eurasia to Africa and Europe Amidst Maritime Tensions in the South China Sea Region

Outward Foreign Direct Investment （OFDI） from the People＇s Republic of China （＂China＂） has been expandingworldwide, much as Inward Foreign Direct Investment （IFDI） from the world into China has burgeoned, at leastuntil very recently. Global FDI declined worldwide in 2014, with China＇s IFDI declining less than many placeselsewhere, resulting in China overtaking the United States as the world＇s most attractive location for FDI for thefirst time since 2003, before India overtook China in 2015 （Iyengar, 2015）. In 2014, meanwhile, for the first time,China＇s OFDI exceeded its IFDI, rendering it a net exporter of FDI, signaling the end of the approach to the end ofChina as a developing nation （Yao ＆ Wang, 2014）. What does this mean？ More than anything else, one mustconsider two factors in assessing China＇s 21st century foreign ambitions： Is its One Belt, One Road （OBOR） ageopolitical tetrahedron as some allege, if so, economically or militarily？ Is its maritime policy across the WesternPacific Rim of Asia aimed at constructing a fleet of surface cruisers and submarines to wage a guerre de course（war of the chase）, much as German vice admiral Wolfgang Wegener urged Imperial Germany to do in world War Ithen Nazi Germany to do in World War II, in an effort to dominate merchant sea routes thereby disrupting supplieswithout recourse to a ＂balanced fleet＂ such as Britain possessed in World Wars I and II and the United Statesoperates currently？ Both China＇s ＂New Silk Road＂ and the ＂New Maritime Silk Route＂ are at the root of ageopolitical tetrahedron. Chinese domination of the South China Sea and to a lesser extent of the East China Searegions signals its potential guerre de course strategy. Is there an antidote to conflict in Asia, if so, what is it？

Study on the Economic Logic of ＂The Belt and Road＂ Initiative of China

＂The Belt and Road＂ Initiative is one of the Chinese medium- and long-term national development strategies which are mainly to create a new driving force of economic growth and develop a new pattern of opening-up. Starting analyzing the background of international and domestic economy, ＂the Belt and Road＂ Initiative was put forward. This paper constructed the theoretical model of ＂the Belt and Road＂ in the abstract, and certified its inherent economic logic and provided a new perspective for understanding the economic nature of＂the Belt and Road＂. On this basis, this paper also analyzed the significance of ＂the Belt and Road＂ to China＇s development and how to cooperate between China and European countries and between China and the North American countries. The results show that ＂the Belt and Road＂ initiative is conducive to combine the advantages of capital and capacity of China and the advantage of market of Central and West Asian countries and Africa countries to achieve the multi-win situation, and European countries and North American countries can join this initiative deeply by taking advantages of their technologies and so on.

Historical Exchanges and Future Cooperation Between China and Oman Under the ＂Belt ＆ Road＂ Initiativ

Oman, located at the southeastern comer of the Arabian Peninsula, enjoys a geological advantage in history so that it has been the irreplaceable path to maritime routes since the ancient time. Oman and China have started large-scale communications in maritime civilizations through the vast Indian Ocean in Han Dynasty, and the exchanges reached the peak in Tang Dynasty. These exchanges gradually declined with the rise of Western navigation industry. Since the founding of the modem nation-state system, the People＇s Republic of China （PRC） and Muscat regime in Oman have some conflicts in diplomacy. The relations between two nations, however, began to improve after the mid-1970s, and the formal diplomatic relations was established in 1978. Since then, both countries have enjoyed rapid development in the fields of politics, culture and particularly in economics. China and Oman became important regional economic and trade partners. Whether seen from the perspective of historical contacts or the trend of present economic development, the One Belt and One Road Initiative （OBOR） has providing a golden opportunity for cooperation between China and Oman, at the same time, this initiative has received active response from Oman. In general, China and Oman＇s cooperation is a typical model in the Middle East, and two countries have made many cooperation achievements under OBOR, such as the China-Oman Industrial Park in Duqm. There are also some investment risks either on micro level or macro level, which require more attention from both government and enterprises of China.

The Nomocracy Pursuit of ＂the Maritime Silk Road＂--On Legal Guarantee of State＇s Marine Rights and Interests

＂The Maritime Silk Road＂, part of China＇s maritime power strategy, will safeguard the realization of ＂Chinese Dream＂. ＂The Maritime Silk Road＂ needs desperately legal guarantee of State＇s marine rights and interest. The primary target of this paper is to put forward several suggestions on the legal guarantee of maritime rights protection based on analyzing the present situation of China legal system.

＂One Belt - One Road＂ an innovative transport route to economic growth

This thesis considers the prerequisites, terms and expected consequences of the implementation of？The Silk Road Economic Belt？. This project is positioned as both a new transport route and also as a global project of development under the initiative of the People＇ s Republic of China. The paper will explore key opportunities and risks of the implementation which is predicted to provide momentous growth to Eurasia＇s economies. This includes the economies of member states to the Eurasian Economic Union, including the Republic of Kazakhstan related to the implementation of the project＂ Silk Road Economic Belt ＂.

The Opportunities, Challenges and Countermeasures of Energy Cooperation between China and Kazakhstan under the Background of ＂One Belt and One Road＂

Relative to countries such as Russia, the United States, and Europe, China has only recently occupied a place in the energy sector in Kazakhstan. However, after 10 years of hard work, China has come to the fore and the fierce energy competition in Kazakhstan has become an important energy trading partner of Central Asian countries. Therefore, we can learn a lot of experience and lessons from our emphasis on cooperation with China＇s energy trade and research in Central Asian countries. Against the backdrop of fierce international energy competition and the deep implementation of the ＂One Belt and One Road＂ initiative, it is like a double-edged sword for energy trade cooperation between China and Central Asian countries, problem. How China seizes opportunities, resolves challenges, and further deepens pragmatic cooperation in the energy sector with Central Asian countries so as to better protect the country＇ s energy security is a very real issue.

Research on Adult Education development towards Hong Kong, Macao and the Overseas under the background of ＂The Belt and Road＂

This document reviews the development of adult education towards Hong Kong, Macao and the Overseas over the past 30 years in Jinan University, and puts forward ideas for the development under the background of＂The Belt and Road＂. Such as： Increase policy support and enhance the level of management services; Based on big data analytics, optimize the mode of talent training; Develop short-term training projects and promote online education; Establish brand awareness and improve teaching quality monitoring mechanisms.

Looking back on the fifth anniversary of ＂BeltAnd Road＂ initiative

The year 2018 marks the fifth anniversary of the One Belt And OneRoad initiative, which has launched a new journey of large-scaleand multi-form connectivity in the history of mankind. At present,China has conducted bilateral cooperation with many countries andregions, and the number of countries that have signed cooperationmemoranda or cooperation plans is increasing.

Risk assessment of oil and gas investment environment in countries along the Belt and Road Initiative

With the implementation of the Belt and Road Initiative, China is deepening its cooperation in oil and gas resources with countries along the Initiative. In order to better mitigate risks and enhance the safety of investments, it is of significant importance to research the oil and gas investment environment in these countries for China's overseas investment macro-layout. This paper proposes an indicator system including 27 indicators from 6 dimensions. On this basis, game theory models combined with global entropy method and analytic hierarchy process are applied to determine the combined weights, and the TOPSIS-GRA model is utilized to assess the risks of oil and gas investment in 76 countries along the Initiative from 2014 to 2021. Finally, the GM(1,1) model is employed to predict risk values for 2022-2025. In conclusion, oil and gas resources and political factors have the greatest impact on investment environment risk, and 12 countries with greater investment potential are selected through cluster analysis in conjunction with the predicted results. The research findings may provide scientific decisionmaking recommendations for the Chinese government and oil enterprises to strengthen oil and gas investment cooperation with countries along the Belt and Road Initiative.

A Brief Discussion on the Development of the Silk-Weaving Industry Along the “Southern Silk Road” in Yunnan

Ancient Yunnan was one of the most significant regions along China’s ancient“Southern Silk Road.”During the Nanzhao period(738–902)of the late Tang Dynasty,Yunnan’s silk-weaving industry underwent a qualitative leap as skilled silk craftsmen from the Bashu area migrated to Yunnan and introduced mulberry planting,silkworm breeding,and advanced silk-weaving techniques from Sichuan to the region.Consequently,people in Yunnan gradually acquired expertise in brocade weaving and embroidery.Many even mastered complex silk-weaving techniques.The development and progress of the silk-weaving industry in the ancient Yunnan region were intricately linked to the economic function and value of silk as both a commodity and currency along the“Southern Silk Road.”The local government in ancient Yunnan was greatly motivated by the economic interests brought by the development of silk-related industries and recognized the significance of developing the local silk industry.They even initiated a campaign to capture skilled silk craftsmen from Sichuan,aiming to foster the growth of the silk-weaving industry in Yunnan.After years of dedicated efforts from the local government in ancient Yunnan,the region emerged as a significant hub for silk production along China’s ancient“Southern Silk Road.”Despite the devastation caused by the wars in other parts of the country,Yunnan’s silk industry continued to thrive and provide ample silk products to sustain trade along this renowned route.In the contemporary era,amidst the decline of the silk-weaving industry in eastern China,Yunnan has proposed an industrial development strategy known as“relocating the silk-weaving industry from east to west.”This involves introducing advanced silk production techniques from the eastern regions into Yunnan to enhance and enrich its local silk industry,thereby establishing it as a traditional national sector and securing a competitive position within the global silk market.The historical experience of Yunnan’s silk industry demonstrated that economic development opportunities can only be seized through proactive endeavors rather than passive anticipation.The modern Yunnan silk industry,which upholds its historical traditions,continues to actively engage in international high-end technical cooperation,thus ensuring the enduring vitality of the ancient“Southern Silk Road.”

基于ROAD的租车订购系统业务流程建模

基于业务架构为中心的企业架构开发思路,采用开放组架构框架(TOGAF)业务架构ACF元模型的划分,提出了一种ROAD架构迭代建模方法。针对目前ROAD元架构中业务活动模型采用IDEF0的活动模型导致的面向场景业务能力的不足,文中通过使用BPMN模型来覆盖IDEF0的活动建模,避免在描述复杂的业务过程时可能存在的局限性,并且更好地捕捉和表示所有的细节和关系,不会使得模型过于抽象。从而实现面向场景的系统建模和管理,提高业务架构设计的效率和精度。最后,文章中以旅游出行租车订购系统为例的方法,采用ROAD元架构方法建立场景化业务架构模型组,并对其进行讨论和改进,为现有架构体系提供一种面向场景的扩展思路。

3D Road Network Modeling and Road Structure Recognition in Internet of Vehicles

Internet of Vehicles (IoV) is a new system that enables individual vehicles to connect with nearby vehicles,people, transportation infrastructure, and networks, thereby realizing amore intelligent and efficient transportationsystem. The movement of vehicles and the three-dimensional (3D) nature of the road network cause the topologicalstructure of IoV to have the high space and time complexity.Network modeling and structure recognition for 3Droads can benefit the description of topological changes for IoV. This paper proposes a 3Dgeneral roadmodel basedon discrete points of roads obtained from GIS. First, the constraints imposed by 3D roads on moving vehicles areanalyzed. Then the effects of road curvature radius (Ra), longitudinal slope (Slo), and length (Len) on speed andacceleration are studied. Finally, a general 3D road network model based on road section features is established.This paper also presents intersection and road section recognition methods based on the structural features ofthe 3D road network model and the road features. Real GIS data from a specific region of Beijing is adopted tocreate the simulation scenario, and the simulation results validate the general 3D road network model and therecognitionmethod. Therefore, thiswork makes contributions to the field of intelligent transportation by providinga comprehensive approach tomodeling the 3Droad network and its topological changes in achieving efficient trafficflowand improved road safety.

Local failure mechanism of sand-blocking fence in latticed dune along desert roads

The latticed dunes in the Tengger Desert are widely distributed,and the sand-blocking fence placed here are highly susceptible to local failure due to complex wind-sand activities,posing a serious threat to the safe operation of the highway.To explore the local failure mechanism of sand-blocking fence in the latticed dune area,the local failure of sand-blocking fence in the latticed dune areas along the Wuhai-Maqin Highway in China was observed.Taking the first main ridge of the latticed dune as the placement location,the structure of the wind-sand flow field of sand-blocking fence placed at top,the bottom and the middle of windward slope was analyzed by Computational Fluid Dynamics(CFD).The results show that when placed at top of the first main ridge,the wind speed near the sand-blocking fence is the highest,up to 15.23 m/s.Therefore,the wind load strength on the sand barrier is correspondingly larger,up to 232.61 N∙m-2.As the strength of material continues to decrease,the nylon net is prone to breakage.The roots of the angle steel posts are susceptible to hollowing by vortex action,which can cause sand-blocking fence to fall over in strong wind conditions.When placed at the bottom of windward slope,wind speed drop near sand-blocking fence is greatest,with the decrease of 12.48-14.32 m/s compared to the original wind speed.This is highly likely to lead to large-scale deposition of sand particles and burial of the sand-blocking fence.When placed in the middle of windward slope,sand-blocking fence is subjected to less wind load strength(168.61N∙m-2)and sand particles are mostly deposited at the bottom of windward slope,with only a small amount of sand accumulating at the root of sand-blocking fence.Based on field observations and numerical modelling results,when the sand-blocking fence is placed in latticed dune area,it should be placed in the middle of the windward slope of the first main ridge as a matter of priority.Besides the sand-blocking fence should be placed at the top of the first main ridge,and sand fixing measures should be added.

Numerical Prediction of Ride Comfort of Tracked Vehicle Equipped with Novel Flexible Road Wheels

Enhancing ride comfort has always constituted a crucial focus in the design and research of modern tracked vehicles,heavily reliant on the driving system's performance.While the road wheel is a key component of the driving system,traditional road wheels predominantly adopt a solid structure,exhibiting subpar adhesion performance and damping effects,thereby falling short of meeting the demands for high-speed,stable,and long-distance driving in tracked vehicles.Addressing this issue,this paper proposes a novel type of flexible road wheel(FRW)characterized by a catenary construction.The study investigates the ride comfort of tracked vehicles equipped with flexible road wheels by integrating finite element and vehicle dynamic.First,three-dimensional(3D)finite element(FE)models of both flexible and rigid road wheels are established,considering material and contact nonlinearities.These models are validated through a wheel radial loading test.Based on the validated FE model,the paper uncovers the relationship between load and radial deformation of the road wheel,forming the basis for a nonlinear mathematical model.Subsequently,a half-car model of a tracked vehicle with seven degrees of freedom is established using Newton's second law.A random road model,considering the track effect and employing white noise,is constructed.The study concludes by examining the ride comfort of tracked vehicles equipped with flexible and rigid road wheels under various speeds and road grades.The results demonstrate that,in comparison to the rigid road wheel(RRW),the flexible road wheel enhances the ride comfort of tracked vehicles on randomly uneven roads.This research provides a theoretical foundation for the implementation of flexible road wheels in tracked vehicles.

Unstructured Road Extraction in UAV Images based on Lightweight Model

There is no unified planning standard for unstructured roads,and the morphological structures of these roads are complex and varied.It is important to maintain a balance between accuracy and speed for unstructured road extraction models.Unstructured road extraction algorithms based on deep learning have problems such as high model complexity,high computational cost,and the inability to adapt to current edge computing devices.Therefore,it is best to use lightweight network models.Considering the need for lightweight models and the characteristics of unstructured roads with different pattern shapes,such as blocks and strips,a TMB(Triple Multi-Block)feature extraction module is proposed,and the overall structure of the TMBNet network is described.The TMB module was compared with SS-nbt,Non-bottleneck-1D,and other modules via experiments.The feasibility and effectiveness of the TMB module design were proven through experiments and visualizations.The comparison experiment,using multiple convolution kernel categories,proved that the TMB module can improve the segmentation accuracy of the network.The comparison with different semantic segmentation networks demonstrates that the TMBNet network has advantages in terms of unstructured road extraction.

Optimized Binary Neural Networks for Road Anomaly Detection:A TinyML Approach on Edge Devices

Integrating Tiny Machine Learning(TinyML)with edge computing in remotely sensed images enhances the capabilities of road anomaly detection on a broader level.Constrained devices efficiently implement a Binary Neural Network(BNN)for road feature extraction,utilizing quantization and compression through a pruning strategy.The modifications resulted in a 28-fold decrease in memory usage and a 25%enhancement in inference speed while only experiencing a 2.5%decrease in accuracy.It showcases its superiority over conventional detection algorithms in different road image scenarios.Although constrained by computer resources and training datasets,our results indicate opportunities for future research,demonstrating that quantization and focused optimization can significantly improve machine learning models’accuracy and operational efficiency.ARM Cortex-M0 gives practical feasibility and substantial benefits while deploying our optimized BNN model on this low-power device:Advanced machine learning in edge computing.The analysis work delves into the educational significance of TinyML and its essential function in analyzing road networks using remote sensing,suggesting ways to improve smart city frameworks in road network assessment,traffic management,and autonomous vehicle navigation systems by emphasizing the importance of new technologies for maintaining and safeguarding road networks.

Resilience assessment and optimization method of city road network in the post-earthquake emergency period

The post-earthquake emergency period,which is a sensitive time segment just after an event,mainly focuses on saving life and restoring social order.To improve the seismic resilience of city road networks,a resilience evaluation method used in the post-earthquake emergency period is proposed.The road seismic damage index of a city road network can consider the influence of roads,bridges and buildings along the roads,etc.on road capacity after an earthquake.A function index for a city road network is developed,which reflects the connectivity,redundancy,traffic demand and traffic function of the network.An optimization model for improving the road repair order in the post-earthquake emergency period is also developed according to the resilience evaluation,to enable decision support for city emergency management and achieve the best seismic resilience of the city road network.The optimization model is applied to a city road network and the results illustrate the feasibility of the resilience evaluation and optimization method for a city road network in the post-earthquake emergency period.

ConvNeXt-UperNet-Based Deep Learning Model for Road Extraction from High-Resolution Remote Sensing Images

When existing deep learning models are used for road extraction tasks from high-resolution images,they are easily affected by noise factors such as tree and building occlusion and complex backgrounds,resulting in incomplete road extraction and low accuracy.We propose the introduction of spatial and channel attention modules to the convolutional neural network ConvNeXt.Then,ConvNeXt is used as the backbone network,which cooperates with the perceptual analysis network UPerNet,retains the detection head of the semantic segmentation,and builds a new model ConvNeXt-UPerNet to suppress noise interference.Training on the open-source DeepGlobe and CHN6-CUG datasets and introducing the DiceLoss on the basis of CrossEntropyLoss solves the problem of positive and negative sample imbalance.Experimental results show that the new network model can achieve the following performance on the DeepGlobe dataset:79.40%for precision(Pre),97.93% for accuracy(Acc),69.28% for intersection over union(IoU),and 83.56% for mean intersection over union(MIoU).On the CHN6-CUG dataset,the model achieves the respective values of 78.17%for Pre,97.63%for Acc,65.4% for IoU,and 81.46% for MIoU.Compared with other network models,the fused ConvNeXt-UPerNet model can extract road information better when faced with the influence of noise contained in high-resolution remote sensing images.It also achieves multiscale image feature information with unified perception,ultimately improving the generalization ability of deep learning technology in extracting complex roads from high-resolution remote sensing images.