As Hangzhou East Railway Station uses technology to ease post-arrival travel anxiety,Shenzhen Bay maintains human-nature harmony through thoughtful governance,and an institutional safety net is built for travelers’ha...As Hangzhou East Railway Station uses technology to ease post-arrival travel anxiety,Shenzhen Bay maintains human-nature harmony through thoughtful governance,and an institutional safety net is built for travelers’haste and oversight at railway ticket purchase,a new landscape of modern travel is sketched.展开更多
Far from being mere rhetoric or abstract theory,Chinese-style modernisation is a concrete reality best grasped through direct experience.Before arriving in China,my knowledge of Chinese modernisation was based mainly ...Far from being mere rhetoric or abstract theory,Chinese-style modernisation is a concrete reality best grasped through direct experience.Before arriving in China,my knowledge of Chinese modernisation was based mainly on reading,classroom education,and accounts from colleagues who had already travelled around the country.展开更多
With the development of technology,diffusion model-based solvers have shown significant promise in solving Combinatorial Optimization(CO)problems,particularly in tackling Non-deterministic Polynomial-time hard(NP-hard...With the development of technology,diffusion model-based solvers have shown significant promise in solving Combinatorial Optimization(CO)problems,particularly in tackling Non-deterministic Polynomial-time hard(NP-hard)problems such as the Traveling Salesman Problem(TSP).However,existing diffusion model-based solvers typically employ a fixed,uniform noise schedule(e.g.,linear or cosine annealing)across all training instances,failing to fully account for the unique characteristics of each problem instance.To address this challenge,we present GraphGuided Diffusion Solvers(GGDS),an enhanced method for improving graph-based diffusion models.GGDS leverages Graph Neural Networks(GNNs)to capture graph structural information embedded in node coordinates and adjacency matrices,dynamically adjusting the noise levels in the diffusion model.This study investigates the TSP by examining two distinct time-step noise generation strategies:cosine annealing and a Neural Network(NN)-based approach.We evaluate their performance across different problem scales,particularly after integrating graph structural information.Experimental results indicate that GGDS outperforms previous methods with average performance improvements of 18.7%,6.3%,and 88.7%on TSP-500,TSP-100,and TSP-50,respectively.Specifically,GGDS demonstrates superior performance on TSP-500 and TSP-50,while its performance on TSP-100 is either comparable to or slightly better than that of previous methods,depending on the chosen noise schedule and decoding strategy.展开更多
Traveling wave(TW)fault location technology has been widely used in transmission systems due to its high accuracy and simplicity.Recently,there has been growing interest in applying this technology to medium voltage(M...Traveling wave(TW)fault location technology has been widely used in transmission systems due to its high accuracy and simplicity.Recently,there has been growing interest in applying this technology to medium voltage(MV)distribution lines.However,current practices in its deployment,signal measurement,and threshold setting are usually from the application experiences in transmission lines,despite significant differences in fault-induced wave characteristics between transmission and distribution systems.To address these issues,this paper investigates the feasibility and applicability of TW fault technology in MV overhead distribution lines through characteristic analysis of fault-induced TWs.The propagation characteristics of aerial mode and zero mode TWs on overhead distribution lines are studied.Furthermore,it evaluates the influence of critical distri-bution network components including distribution transformers,multi-branch configurations,and busbar structures on wave propagation characteristics.Deployment strategies for traveling wave fault location(TWFL)devices is proposed to address the unique challenges of distribution networks,while the fault location method is also improved.Field test results demonstrate the effectiveness of the proposed methodology,showing improved fault detection accuracy and system reliability in distri-bution network applications.This research provides practical implementation suggestions for TWFL technology in distribution networks.展开更多
Recommending personalized travel routes from sparse,implicit feedback poses a significant challenge,as conventional systems often struggle with information overload and fail to capture the complex,sequential nature of...Recommending personalized travel routes from sparse,implicit feedback poses a significant challenge,as conventional systems often struggle with information overload and fail to capture the complex,sequential nature of user preferences.To address this,we propose a Conditional Generative Adversarial Network(CGAN)that generates diverse and highly relevant itineraries.Our approach begins by constructing a conditional vector that encapsulates a user’s profile.This vector uniquely fuses embeddings from a Heterogeneous Information Network(HIN)to model complex user-place-route relationships,a Recurrent Neural Network(RNN)to capture sequential path dynamics,and Neural Collaborative Filtering(NCF)to incorporate collaborative signals from the wider user base.This comprehensive condition,further enhanced with features representing user interaction confidence and uncertainty,steers a CGAN stabilized by spectral normalization to generate high-fidelity latent route representations,effectively mitigating the data sparsity problem.Recommendations are then formulated using an Anchor-and-Expand algorithm,which selects relevant starting Points of Interest(POI)based on user history,then expands routes through latent similarity matching and geographic coherence optimization,culminating in Traveling Salesman Problem(TSP)-based route optimization for practical travel distances.Experiments on a real-world check-in dataset validate our model’s unique generative capability,achieving F1 scores ranging from 0.163 to 0.305,and near-zero pairs−F1 scores between 0.002 and 0.022.These results confirm the model’s success in generating novel travel routes by recommending new locations and sequences rather than replicating users’past itineraries.This work provides a robust solution for personalized travel planning,capable of generating novel and compelling routes for both new and existing users by learning from collective travel intelligence.展开更多
The Commonwealth Travel Service Corporation(CTC Travel)is a comprehensive travel service provider deeply rooted in Singapore since its establishment in 1990.As a Singaporean tourism company with strong ties to China,C...The Commonwealth Travel Service Corporation(CTC Travel)is a comprehensive travel service provider deeply rooted in Singapore since its establishment in 1990.As a Singaporean tourism company with strong ties to China,CTC Travel has actively promoted cultural and tourism cooperation between the two countries for the past 35 years.According to Chen Bin,CEO of CTC Travel,traveling to China has always been a key business segment for his company,accounting for a quarter of its total business volume.Since its establishment 35 years ago,the company has arranged for nearly 700,000 Singaporean travelers to visit various regions of China for purposes including sightseeing,visiting relatives and friends,and attending business events.展开更多
The Double Take column looks at a single topic from an African and Chinese perspective.This month,we discuss the concept of travel with a small budget.The concept of Qiongyou-travelling on a tight budget-has gained si...The Double Take column looks at a single topic from an African and Chinese perspective.This month,we discuss the concept of travel with a small budget.The concept of Qiongyou-travelling on a tight budget-has gained significant traction among young travellers in China.展开更多
Across[3]an act of travelling from one place to another[5]the money you pay for a journey by bus,train or taxi[7]to visit the places of interest in a city,etc.as a tourist[8]arrange to buy a ticket in advance[10]a jou...Across[3]an act of travelling from one place to another[5]the money you pay for a journey by bus,train or taxi[7]to visit the places of interest in a city,etc.as a tourist[8]arrange to buy a ticket in advance[10]a journey during which you visit a place and return[12]a person who is travelling or who often travels.展开更多
From January 25 to January 26,the New York Travel&Adventure Show was held at Jacob K.Javits Convention Center in New York,the United States.China National Tourist Office in New York,with“Nihao!China”as the theme...From January 25 to January 26,the New York Travel&Adventure Show was held at Jacob K.Javits Convention Center in New York,the United States.China National Tourist Office in New York,with“Nihao!China”as the theme,cooperated with a number of Chinese travel agencies and over ten cultural museums to comprehensively demonstrate China’s innovation achievements of the integration of culture and tourism and the unique charm of ice&snow tourism.展开更多
From October 25 to October 28,2025 International Travel Agency Cooperation and Exchange Activities,an important part of the 2025 International Wudang Tai Chi Culture Festival,was successfully held in Wudang Mountain.W...From October 25 to October 28,2025 International Travel Agency Cooperation and Exchange Activities,an important part of the 2025 International Wudang Tai Chi Culture Festival,was successfully held in Wudang Mountain.With the theme of"Zhiyin Hubei,Alliance at Wudang",about 280 representatives from world tourist organizations such as World Tourism Cities Federation and the Pacific Asia Travel Association,as well as China Tourism Association,participated in the event,covering 17 countries and regions including the United States,Spain,Russia,Germany,etc.展开更多
文摘As Hangzhou East Railway Station uses technology to ease post-arrival travel anxiety,Shenzhen Bay maintains human-nature harmony through thoughtful governance,and an institutional safety net is built for travelers’haste and oversight at railway ticket purchase,a new landscape of modern travel is sketched.
文摘Far from being mere rhetoric or abstract theory,Chinese-style modernisation is a concrete reality best grasped through direct experience.Before arriving in China,my knowledge of Chinese modernisation was based mainly on reading,classroom education,and accounts from colleagues who had already travelled around the country.
基金supported by the National Science and Technology Council,Taiwan,under grant no.NSTC 114-2221-E-197-005-MY3.
文摘With the development of technology,diffusion model-based solvers have shown significant promise in solving Combinatorial Optimization(CO)problems,particularly in tackling Non-deterministic Polynomial-time hard(NP-hard)problems such as the Traveling Salesman Problem(TSP).However,existing diffusion model-based solvers typically employ a fixed,uniform noise schedule(e.g.,linear or cosine annealing)across all training instances,failing to fully account for the unique characteristics of each problem instance.To address this challenge,we present GraphGuided Diffusion Solvers(GGDS),an enhanced method for improving graph-based diffusion models.GGDS leverages Graph Neural Networks(GNNs)to capture graph structural information embedded in node coordinates and adjacency matrices,dynamically adjusting the noise levels in the diffusion model.This study investigates the TSP by examining two distinct time-step noise generation strategies:cosine annealing and a Neural Network(NN)-based approach.We evaluate their performance across different problem scales,particularly after integrating graph structural information.Experimental results indicate that GGDS outperforms previous methods with average performance improvements of 18.7%,6.3%,and 88.7%on TSP-500,TSP-100,and TSP-50,respectively.Specifically,GGDS demonstrates superior performance on TSP-500 and TSP-50,while its performance on TSP-100 is either comparable to or slightly better than that of previous methods,depending on the chosen noise schedule and decoding strategy.
基金supported by the National Natural Sci-ence Foundation of China(No.52107109).
文摘Traveling wave(TW)fault location technology has been widely used in transmission systems due to its high accuracy and simplicity.Recently,there has been growing interest in applying this technology to medium voltage(MV)distribution lines.However,current practices in its deployment,signal measurement,and threshold setting are usually from the application experiences in transmission lines,despite significant differences in fault-induced wave characteristics between transmission and distribution systems.To address these issues,this paper investigates the feasibility and applicability of TW fault technology in MV overhead distribution lines through characteristic analysis of fault-induced TWs.The propagation characteristics of aerial mode and zero mode TWs on overhead distribution lines are studied.Furthermore,it evaluates the influence of critical distri-bution network components including distribution transformers,multi-branch configurations,and busbar structures on wave propagation characteristics.Deployment strategies for traveling wave fault location(TWFL)devices is proposed to address the unique challenges of distribution networks,while the fault location method is also improved.Field test results demonstrate the effectiveness of the proposed methodology,showing improved fault detection accuracy and system reliability in distri-bution network applications.This research provides practical implementation suggestions for TWFL technology in distribution networks.
基金supported by the Chung-Ang University Research Grants in 2023.Alsothe work is supported by the ELLIIT Excellence Center at Linköping–Lund in Information Technology in Sweden.
文摘Recommending personalized travel routes from sparse,implicit feedback poses a significant challenge,as conventional systems often struggle with information overload and fail to capture the complex,sequential nature of user preferences.To address this,we propose a Conditional Generative Adversarial Network(CGAN)that generates diverse and highly relevant itineraries.Our approach begins by constructing a conditional vector that encapsulates a user’s profile.This vector uniquely fuses embeddings from a Heterogeneous Information Network(HIN)to model complex user-place-route relationships,a Recurrent Neural Network(RNN)to capture sequential path dynamics,and Neural Collaborative Filtering(NCF)to incorporate collaborative signals from the wider user base.This comprehensive condition,further enhanced with features representing user interaction confidence and uncertainty,steers a CGAN stabilized by spectral normalization to generate high-fidelity latent route representations,effectively mitigating the data sparsity problem.Recommendations are then formulated using an Anchor-and-Expand algorithm,which selects relevant starting Points of Interest(POI)based on user history,then expands routes through latent similarity matching and geographic coherence optimization,culminating in Traveling Salesman Problem(TSP)-based route optimization for practical travel distances.Experiments on a real-world check-in dataset validate our model’s unique generative capability,achieving F1 scores ranging from 0.163 to 0.305,and near-zero pairs−F1 scores between 0.002 and 0.022.These results confirm the model’s success in generating novel travel routes by recommending new locations and sequences rather than replicating users’past itineraries.This work provides a robust solution for personalized travel planning,capable of generating novel and compelling routes for both new and existing users by learning from collective travel intelligence.
文摘The Commonwealth Travel Service Corporation(CTC Travel)is a comprehensive travel service provider deeply rooted in Singapore since its establishment in 1990.As a Singaporean tourism company with strong ties to China,CTC Travel has actively promoted cultural and tourism cooperation between the two countries for the past 35 years.According to Chen Bin,CEO of CTC Travel,traveling to China has always been a key business segment for his company,accounting for a quarter of its total business volume.Since its establishment 35 years ago,the company has arranged for nearly 700,000 Singaporean travelers to visit various regions of China for purposes including sightseeing,visiting relatives and friends,and attending business events.
文摘The Double Take column looks at a single topic from an African and Chinese perspective.This month,we discuss the concept of travel with a small budget.The concept of Qiongyou-travelling on a tight budget-has gained significant traction among young travellers in China.
文摘Across[3]an act of travelling from one place to another[5]the money you pay for a journey by bus,train or taxi[7]to visit the places of interest in a city,etc.as a tourist[8]arrange to buy a ticket in advance[10]a journey during which you visit a place and return[12]a person who is travelling or who often travels.
文摘From January 25 to January 26,the New York Travel&Adventure Show was held at Jacob K.Javits Convention Center in New York,the United States.China National Tourist Office in New York,with“Nihao!China”as the theme,cooperated with a number of Chinese travel agencies and over ten cultural museums to comprehensively demonstrate China’s innovation achievements of the integration of culture and tourism and the unique charm of ice&snow tourism.
文摘From October 25 to October 28,2025 International Travel Agency Cooperation and Exchange Activities,an important part of the 2025 International Wudang Tai Chi Culture Festival,was successfully held in Wudang Mountain.With the theme of"Zhiyin Hubei,Alliance at Wudang",about 280 representatives from world tourist organizations such as World Tourism Cities Federation and the Pacific Asia Travel Association,as well as China Tourism Association,participated in the event,covering 17 countries and regions including the United States,Spain,Russia,Germany,etc.
