Classical Chinese gardens,with their intricate interplay of architectural landscapes featuring narrow corridors and expansive courtyards,are designed to surprise and captivate visitors at every turn.Unraveling the con...Classical Chinese gardens,with their intricate interplay of architectural landscapes featuring narrow corridors and expansive courtyards,are designed to surprise and captivate visitors at every turn.Unraveling the connection between visual perception,walking behaviors,and the spatial elements of these garden compounds is essential to grasping the essence of traditional Chinese garden design.This study employs Virtual Reality(VR)and eye-tracking technologies to evaluate the touring patterns within Chinese classical gardens,with a case study focusing on the Canglang Pavilion Garden in Suzhou.A total of 68 participants were enlisted to engage in a VR experiment simulating a visit to a courtyard space within this garden.The study analyzed route choices between 2 distinct spatial types:corridor-architecture and courtyard-wall.Eye movement indicators within the Areas of Interest(AOIs)for frame-of-view and depth-of-view spatial elements were monitored,and visitors’spatial-temporal trajectory maps were documented.This research offers valuable insights into the intricate dynamics between visual attention,spatial elements,and visitor behavior within garden environments.The methodology applied in this study has broad implications for environmental psychology,landscape architecture,and the study of cultural heritage sites,providing a deeper understanding of the interactions and perceptions of visitors within garden spaces.展开更多
Semantic segmentation is a core task in computer vision that allows AI models to interact and understand their surrounding environment. Similarly to how humans subconsciously segment scenes, this ability is crucial fo...Semantic segmentation is a core task in computer vision that allows AI models to interact and understand their surrounding environment. Similarly to how humans subconsciously segment scenes, this ability is crucial for scene understanding. However, a challenge many semantic learning models face is the lack of data. Existing video datasets are limited to short, low-resolution videos that are not representative of real-world examples. Thus, one of our key contributions is a customized semantic segmentation version of the Walking Tours Dataset that features hour-long, high-resolution, real-world data from tours of different cities. Additionally, we evaluate the performance of open-vocabulary, semantic model OpenSeeD on our own custom dataset and discuss future implications.展开更多
Tour Overview.“Yangtze River Fantasy Tour-Charm of the Yangtze”is a carefully crafted 6-night,7-day journey for you to fully experience the endless charm of China's Yangtze River.On this trip,tourists will embar...Tour Overview.“Yangtze River Fantasy Tour-Charm of the Yangtze”is a carefully crafted 6-night,7-day journey for you to fully experience the endless charm of China's Yangtze River.On this trip,tourists will embark on a top luxury cruise ship on China,s inland rivers,sailing through the Yangtze River,enjoying comfort and luxury.The modern design and complete facilities of the cruise ship not only provide first-class accommodation but also offer a variety of onboard entertainment activities,filling your journey with laughter and joy.展开更多
On May 26,40 teachers and students from the graduating class of the Buddhist Academy of Xizang in Lhasa embarked on a teaching practice and national condition study tour in Zhejiang and Shanghai.
Twenty years ago,during an inspection tour of the pollutionbesieged village Yucun in Anji County,east China’s Zhejiang Province,then provincial Party Secretary Xi Jinping proposed that“lucid waters and lush mountain...Twenty years ago,during an inspection tour of the pollutionbesieged village Yucun in Anji County,east China’s Zhejiang Province,then provincial Party Secretary Xi Jinping proposed that“lucid waters and lush mountains are invaluable assets”–a seminal insight now known as the“Two Mountains”Theory.展开更多
Artificial intelligence(AI)is transforming the tourism industry and affecting on natural ecology,making it more environmentally friendly,efficient and personalized.In 2025,AI technologies are being actively implemente...Artificial intelligence(AI)is transforming the tourism industry and affecting on natural ecology,making it more environmentally friendly,efficient and personalized.In 2025,AI technologies are being actively implemented to reduce the carbon footprint,optimize resources,and improve the travel experience.Here are the key applications of AI in environmentally sustainable smart tourism:AI in smart tourism is not just a technological trend,but a necessity for the sustainable development of the industry.Paper analyses personalized and green travel experience and smart tourism.AI-based applications(Google ARCore)allow tourists to get information about attractions without paper booklets.Virtual tours reduce the need for physical travel by reducing the carbon footprint.Platforms offer routes with minimal impact on nature(for example,hiking trails instead of car tours).Tourists can offset their carbon footprint through AI tools by financing tree planting.The introduction of AI solutions allows combining economic benefits with environmental responsibility,creating a future where travel becomes safer for the planet.Paper confirms idea about sustainable tourism development in developing countries and focus on premium ecotourism.Instead of mass tourism,AI helps promote unique destinations(safaris,diving,ethnographic tours),which increases income with less environmental damage.Smart cities with AI-driven transport and energy-saving solutions make tourism more sustainable.展开更多
A“smart course”denotes a learner-centered curriculum model that deeply integrates advanced technologies,including generative artificial intelligence(AI)and big data analytics,with ongoing optimization and iterative ...A“smart course”denotes a learner-centered curriculum model that deeply integrates advanced technologies,including generative artificial intelligence(AI)and big data analytics,with ongoing optimization and iterative refinement.This paper examines the pathways of smart course development in higher vocational education by using the Study Tour Course Design course as a practical case study.The analysis is conducted from four perspectives:innovation in educational concepts,innovation in teaching models,transformation in learning paradigms,and enhancement in evaluation systems.By developing a threedimensional framework encompassing“knowledge,skills,and problems”,the focus of education shifts from“knowledge imparting”to“competency development”.This approach fosters a transformation in teaching interactions,moving beyond the traditional“teacher and student interaction”to a more integrated trinity collaboration of“teachers,students,and machines”,and promotes the transformation of students’learning from“passive receptive learning”to“autonomous inquiry-based learning”.Simultaneously,it facilitates the transition of evaluation methods from“outcome-based evaluation”to“multi-dimensional evaluation”.展开更多
The Great Wall at Mutianyu looks like a giant dragon swimming in the sea of the forest at sunset. The Great Wall at Mutianyu and scenic areas in Huairou County are popular with tourists.
At the summit of Panshan Mountain are thousands of beautiful pine trees growing on the cliffs. Strangely shaped rocks are the main scenic feature of the middle section of the mountain.
On Oct 18,the opening ceremony of the Chinese relics touring exhibition of Chinese Characters:A Legacy and Marvel Perfected Over Three Millennia was held at the Tokyo Fuji Art Museum.Mr.Cheng Yonghua,ambassador of the...On Oct 18,the opening ceremony of the Chinese relics touring exhibition of Chinese Characters:A Legacy and Marvel Perfected Over Three Millennia was held at the Tokyo Fuji Art Museum.Mr.Cheng Yonghua,ambassador of the People’s Republic of China to Japan,and Mr.Hu Sishe,vice-president of the Chinese People’s Association for Friendship with Foreign Countries,attended the ceremony.展开更多
The studypresents theHalfMax InsertionHeuristic (HMIH) as a novel approach to solving theTravelling SalesmanProblem (TSP). The goal is to outperform existing techniques such as the Farthest Insertion Heuristic (FIH) a...The studypresents theHalfMax InsertionHeuristic (HMIH) as a novel approach to solving theTravelling SalesmanProblem (TSP). The goal is to outperform existing techniques such as the Farthest Insertion Heuristic (FIH) andNearest Neighbour Heuristic (NNH). The paper discusses the limitations of current construction tour heuristics,focusing particularly on the significant margin of error in FIH. It then proposes HMIH as an alternative thatminimizes the increase in tour distance and includes more nodes. HMIH improves tour quality by starting withan initial tour consisting of a ‘minimum’ polygon and iteratively adding nodes using our novel Half Max routine.The paper thoroughly examines and compares HMIH with FIH and NNH via rigorous testing on standard TSPbenchmarks. The results indicate that HMIH consistently delivers superior performance, particularly with respectto tour cost and computational efficiency. HMIH’s tours were sometimes 16% shorter than those generated by FIHand NNH, showcasing its potential and value as a novel benchmark for TSP solutions. The study used statisticalmethods, including Friedman’s Non-parametric Test, to validate the performance of HMIH over FIH and NNH.This guarantees that the identified advantages are statistically significant and consistent in various situations. Thiscomprehensive analysis emphasizes the reliability and efficiency of the heuristic, making a compelling case for itsuse in solving TSP issues. The research shows that, in general, HMIH fared better than FIH in all cases studied,except for a few instances (pr439, eil51, and eil101) where FIH either performed equally or slightly better thanHMIH. HMIH’s efficiency is shown by its improvements in error percentage (δ) and goodness values (g) comparedto FIH and NNH. In the att48 instance, HMIH had an error rate of 6.3%, whereas FIH had 14.6% and NNH had20.9%, indicating that HMIH was closer to the optimal solution. HMIH consistently showed superior performanceacross many benchmarks, with lower percentage error and higher goodness values, suggesting a closer match tothe optimal tour costs. This study substantially contributes to combinatorial optimization by enhancing currentinsertion algorithms and presenting a more efficient solution for the Travelling Salesman Problem. It also createsnew possibilities for progress in heuristic design and optimization methodologies.展开更多
基金Supported by the College Students’Innovative and Entrepreneurial Training Plan ProgramYuxiu Innovation Project of North China University of Technology(2024NCUTYXCX214).
文摘Classical Chinese gardens,with their intricate interplay of architectural landscapes featuring narrow corridors and expansive courtyards,are designed to surprise and captivate visitors at every turn.Unraveling the connection between visual perception,walking behaviors,and the spatial elements of these garden compounds is essential to grasping the essence of traditional Chinese garden design.This study employs Virtual Reality(VR)and eye-tracking technologies to evaluate the touring patterns within Chinese classical gardens,with a case study focusing on the Canglang Pavilion Garden in Suzhou.A total of 68 participants were enlisted to engage in a VR experiment simulating a visit to a courtyard space within this garden.The study analyzed route choices between 2 distinct spatial types:corridor-architecture and courtyard-wall.Eye movement indicators within the Areas of Interest(AOIs)for frame-of-view and depth-of-view spatial elements were monitored,and visitors’spatial-temporal trajectory maps were documented.This research offers valuable insights into the intricate dynamics between visual attention,spatial elements,and visitor behavior within garden environments.The methodology applied in this study has broad implications for environmental psychology,landscape architecture,and the study of cultural heritage sites,providing a deeper understanding of the interactions and perceptions of visitors within garden spaces.
文摘Semantic segmentation is a core task in computer vision that allows AI models to interact and understand their surrounding environment. Similarly to how humans subconsciously segment scenes, this ability is crucial for scene understanding. However, a challenge many semantic learning models face is the lack of data. Existing video datasets are limited to short, low-resolution videos that are not representative of real-world examples. Thus, one of our key contributions is a customized semantic segmentation version of the Walking Tours Dataset that features hour-long, high-resolution, real-world data from tours of different cities. Additionally, we evaluate the performance of open-vocabulary, semantic model OpenSeeD on our own custom dataset and discuss future implications.
文摘Tour Overview.“Yangtze River Fantasy Tour-Charm of the Yangtze”is a carefully crafted 6-night,7-day journey for you to fully experience the endless charm of China's Yangtze River.On this trip,tourists will embark on a top luxury cruise ship on China,s inland rivers,sailing through the Yangtze River,enjoying comfort and luxury.The modern design and complete facilities of the cruise ship not only provide first-class accommodation but also offer a variety of onboard entertainment activities,filling your journey with laughter and joy.
文摘On May 26,40 teachers and students from the graduating class of the Buddhist Academy of Xizang in Lhasa embarked on a teaching practice and national condition study tour in Zhejiang and Shanghai.
文摘Twenty years ago,during an inspection tour of the pollutionbesieged village Yucun in Anji County,east China’s Zhejiang Province,then provincial Party Secretary Xi Jinping proposed that“lucid waters and lush mountains are invaluable assets”–a seminal insight now known as the“Two Mountains”Theory.
基金financed as part of the project“Development of a methodology for instrumental base formation for analysis and modeling of the spatial socio-economic development of systems based on internal reserves in the context of digitalization”(FSEG-2023-0008).
文摘Artificial intelligence(AI)is transforming the tourism industry and affecting on natural ecology,making it more environmentally friendly,efficient and personalized.In 2025,AI technologies are being actively implemented to reduce the carbon footprint,optimize resources,and improve the travel experience.Here are the key applications of AI in environmentally sustainable smart tourism:AI in smart tourism is not just a technological trend,but a necessity for the sustainable development of the industry.Paper analyses personalized and green travel experience and smart tourism.AI-based applications(Google ARCore)allow tourists to get information about attractions without paper booklets.Virtual tours reduce the need for physical travel by reducing the carbon footprint.Platforms offer routes with minimal impact on nature(for example,hiking trails instead of car tours).Tourists can offset their carbon footprint through AI tools by financing tree planting.The introduction of AI solutions allows combining economic benefits with environmental responsibility,creating a future where travel becomes safer for the planet.Paper confirms idea about sustainable tourism development in developing countries and focus on premium ecotourism.Instead of mass tourism,AI helps promote unique destinations(safaris,diving,ethnographic tours),which increases income with less environmental damage.Smart cities with AI-driven transport and energy-saving solutions make tourism more sustainable.
基金Sponsored by Vocational Education Teaching Reform Research Project of Shandong Province“Research on Digital New-Form Curriculum Development Based on AI Knowledge Maps in the Context of Industry-Education Integration”(2023352)Vocational Education Teaching Reform Research Project of Shandong Province“Innovation and Practice in the Development Model of Vocational College Master Craftsman Studios under the Perspective of Industry-Education Integration”(2024375).
文摘A“smart course”denotes a learner-centered curriculum model that deeply integrates advanced technologies,including generative artificial intelligence(AI)and big data analytics,with ongoing optimization and iterative refinement.This paper examines the pathways of smart course development in higher vocational education by using the Study Tour Course Design course as a practical case study.The analysis is conducted from four perspectives:innovation in educational concepts,innovation in teaching models,transformation in learning paradigms,and enhancement in evaluation systems.By developing a threedimensional framework encompassing“knowledge,skills,and problems”,the focus of education shifts from“knowledge imparting”to“competency development”.This approach fosters a transformation in teaching interactions,moving beyond the traditional“teacher and student interaction”to a more integrated trinity collaboration of“teachers,students,and machines”,and promotes the transformation of students’learning from“passive receptive learning”to“autonomous inquiry-based learning”.Simultaneously,it facilitates the transition of evaluation methods from“outcome-based evaluation”to“multi-dimensional evaluation”.
文摘The Great Wall at Mutianyu looks like a giant dragon swimming in the sea of the forest at sunset. The Great Wall at Mutianyu and scenic areas in Huairou County are popular with tourists.
文摘At the summit of Panshan Mountain are thousands of beautiful pine trees growing on the cliffs. Strangely shaped rocks are the main scenic feature of the middle section of the mountain.
文摘On Oct 18,the opening ceremony of the Chinese relics touring exhibition of Chinese Characters:A Legacy and Marvel Perfected Over Three Millennia was held at the Tokyo Fuji Art Museum.Mr.Cheng Yonghua,ambassador of the People’s Republic of China to Japan,and Mr.Hu Sishe,vice-president of the Chinese People’s Association for Friendship with Foreign Countries,attended the ceremony.
基金the Centre of Excellence in Mobile and e-Services,the University of Zululand,Kwadlangezwa,South Africa.
文摘The studypresents theHalfMax InsertionHeuristic (HMIH) as a novel approach to solving theTravelling SalesmanProblem (TSP). The goal is to outperform existing techniques such as the Farthest Insertion Heuristic (FIH) andNearest Neighbour Heuristic (NNH). The paper discusses the limitations of current construction tour heuristics,focusing particularly on the significant margin of error in FIH. It then proposes HMIH as an alternative thatminimizes the increase in tour distance and includes more nodes. HMIH improves tour quality by starting withan initial tour consisting of a ‘minimum’ polygon and iteratively adding nodes using our novel Half Max routine.The paper thoroughly examines and compares HMIH with FIH and NNH via rigorous testing on standard TSPbenchmarks. The results indicate that HMIH consistently delivers superior performance, particularly with respectto tour cost and computational efficiency. HMIH’s tours were sometimes 16% shorter than those generated by FIHand NNH, showcasing its potential and value as a novel benchmark for TSP solutions. The study used statisticalmethods, including Friedman’s Non-parametric Test, to validate the performance of HMIH over FIH and NNH.This guarantees that the identified advantages are statistically significant and consistent in various situations. Thiscomprehensive analysis emphasizes the reliability and efficiency of the heuristic, making a compelling case for itsuse in solving TSP issues. The research shows that, in general, HMIH fared better than FIH in all cases studied,except for a few instances (pr439, eil51, and eil101) where FIH either performed equally or slightly better thanHMIH. HMIH’s efficiency is shown by its improvements in error percentage (δ) and goodness values (g) comparedto FIH and NNH. In the att48 instance, HMIH had an error rate of 6.3%, whereas FIH had 14.6% and NNH had20.9%, indicating that HMIH was closer to the optimal solution. HMIH consistently showed superior performanceacross many benchmarks, with lower percentage error and higher goodness values, suggesting a closer match tothe optimal tour costs. This study substantially contributes to combinatorial optimization by enhancing currentinsertion algorithms and presenting a more efficient solution for the Travelling Salesman Problem. It also createsnew possibilities for progress in heuristic design and optimization methodologies.
