A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification s...A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification strategy is used to distinguish whether one candidate is true place name or not. Referring to linguistic knowledge, basic semanteme of a contextual word and frequency information of words inside place name candidate are selected as features in our methodology. So dimension in the feature space is reduced dramatically and processing procedure is performed more efficiently. Result of open testing on unregistered place names achieves F-measure 83.25 in 8.17 million words news based on this project.展开更多
Determining an epicenter reference place name (herein after to be referred as "DERPN") is a basic task,but is very important for standardizing the compilation of earthquake catalogues.However,there has been ...Determining an epicenter reference place name (herein after to be referred as "DERPN") is a basic task,but is very important for standardizing the compilation of earthquake catalogues.However,there has been little studies on DERPN.This paper summarizes the development and issues surrounding DERPN and puts forward principles and methods of DERPN.展开更多
This paper focuses on characteristics studies of Kazak place names in Ili Kazak Autonomous Prefecture based on Univer-sal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and tho...This paper focuses on characteristics studies of Kazak place names in Ili Kazak Autonomous Prefecture based on Univer-sal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and thorough study,this paper foundthat because of different traditional lifestyles and different political strategies through different historical periods,this paper provedthat the Kazaks as the nomads were proficient in observing the environmental conditions,and made full use of them to name places.展开更多
Because of its peculiar language environment with multi ethnicities and the One Belt and One Road initiative,the studies of place names in Ili Kazak Autonomous Prefecture attract many linguists’interests.This paper f...Because of its peculiar language environment with multi ethnicities and the One Belt and One Road initiative,the studies of place names in Ili Kazak Autonomous Prefecture attract many linguists’interests.This paper focuses on characteristics studies of Uyghur place names in Ili Kazak Autonomous Prefecture based on Universal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and thorough study,this paper found that because of different traditional lifestyles and different political strategies through different historical periods,as urban people,the Uyghur place names highlighted the Uyghur people’s great contributions to artificial constructions.展开更多
Based on the village-level place names in Anhui Province,the formation mechanism and distribution characteristics of place names were discussed from the aspects of culture and nature using thematic maps obtained with ...Based on the village-level place names in Anhui Province,the formation mechanism and distribution characteristics of place names were discussed from the aspects of culture and nature using thematic maps obtained with the combination of kernel density estimation and mathematical statistics in GIS.The results showed that the place names of villages in Anhui Province are closely related to the local cultural landscape and natural landscape,and are the products of thousands of years of continuous exploration and cultural exchanges by local people.It not only reflects the relationship between place names and Anhui natural landform and cultural landscapes,but also combines them from different perspectives,reflecting the complexity and similarities of the formation of place names.展开更多
Chinese classic poems are a part of Chinese cultural heritage.The place names contain lots of Chinese cultural charac-teristics.Some have special connotations and how to translate these connotations in the poems is an...Chinese classic poems are a part of Chinese cultural heritage.The place names contain lots of Chinese cultural charac-teristics.Some have special connotations and how to translate these connotations in the poems is another difficulty of poem translation. We should put both keeping the cultural characteristics and the understanding capacity of the target readers into consideration.Guided by Functional Equivalence,this thesis intends to discuss the translation of place names in Chinese poems,aims to broadcast Chinese culture.展开更多
Place names that contain rich regional cultural connotations are “living fossils” of history and culture, and they are of great tourist value. Taking the main urban area of Chengdu City as an example, this paper ana...Place names that contain rich regional cultural connotations are “living fossils” of history and culture, and they are of great tourist value. Taking the main urban area of Chengdu City as an example, this paper analyzes the cultural characteristics and connotations of place names, as well as their tourist values. This value is believed to mainly include stimulating tourists’ interest in traveling, presenting local tourism features, enhancing the travel experience of the visitors and serving the tourism economy. Then this paper discusses the problems of place name cultural heritage and puts forward the tourism development strategies for Chengdu’s place name culture. Such strategies could include establishing a tourism place name system of Chengdu scenic spot names, using place names in the restoration and development of ancient scenery, combining place names with food tourism resources and high-quality tourism commodities, developing cultural and creative products related to Chengdu place names,strengthening the theoretical discussion on Chengdu place name culture and conducting dissemination activities for Chengdu place name culture.展开更多
This study explores the impact of perceived value,awe,and place attachment on tourists'environmentally responsible behavior(ERB)in desert tourism contexts,using the Singing Sands Mountain and Crescent Spring sceni...This study explores the impact of perceived value,awe,and place attachment on tourists'environmentally responsible behavior(ERB)in desert tourism contexts,using the Singing Sands Mountain and Crescent Spring scenic area in Dunhuang,China as a case study.Data were collected from 315 tourists using a structured questionnaire and analyzed through a structural equation model.Results show that perceived value and awe significantly influence ERB both directly and indirectly via place attachment.Specifically,perceived value has a stronger direct effect on ERB compared to awe,highlighting the importance of tourists'overall evaluation of the destination in promoting sustainable behaviors.The mediating role of place attachment underscores the significance of emotional connections to the environment in fostering ERB.These findings provide valuable insights for sustainable tourism management in fragile desert ecosystems.The study also highlights the importance of enhancing perceived value through high-quality services and leveraging awe-inspiring experiences to promote sustainable behaviors.展开更多
The rapid emergence of the Internet of Things(IoT),immersive technologies,and spatial devices is transforming architecture by changing the built environment from a passive backdrop to an active participant in user act...The rapid emergence of the Internet of Things(IoT),immersive technologies,and spatial devices is transforming architecture by changing the built environment from a passive backdrop to an active participant in user activities.This shift creates complex sociotechnical networks and leads to what we call intelligent places adaptive systems that respond to user behavior,environmental signals,and interactions with architectural components.This study investigates how advanced material foundations and embedded technological objects shape human-building interactions and drive adaptive behaviors in intelligent place systems.We test the hypothesis that integrating virtual reality(VR),augmented reality(AR),and spatial sensors within smart materials creates continuous real-time feedback loops.These loops are expected to enhance user engagement,spatial adaptability,and environmental responsiveness.Employing a qualitative methodology that includes case studies and content analysis,augmented by AI-assisted image analysis,we explore recent trends in smart building design through two projects:the Spatially Intelligent Arts Centre in Geelong,Australia,and the iPortals network of interactive spatial components.The findings indicate that intelligent places are open,dynamic,and continually evolving systems.Technological objects mediate multiloop feedback among users,materials,and building automation,enabling more autonomous,energy-efficient,and responsive environments.This study contributes a conceptual framework for understanding how technological objects and their material Foundations mediate human-building interactions in intelligent places.Future research should consider scalability across different architectural contexts and explore the sociocultural impacts on diverse user groups.展开更多
In the Visual Place Recognition(VPR)task,existing research has leveraged large-scale pre-trained models to improve the performance of place recognition.However,when there are significant environmental differences betw...In the Visual Place Recognition(VPR)task,existing research has leveraged large-scale pre-trained models to improve the performance of place recognition.However,when there are significant environmental differences between query images and reference images,a large number of ineffective local features will interfere with the extraction of key landmark features,leading to the retrieval of visually similar but geographically different images.To address this perceptual aliasing problem caused by environmental condition changes,we propose a novel Visual Place Recognition method with Cross-Environment Robust Feature Enhancement(CerfeVPR).This method uses the GAN network to generate similar images of the original images under different environmental conditions,thereby enhancing the learning of robust features of the original images.This enables the global descriptor to effectively ignore appearance changes caused by environmental factors such as seasons and lighting,showing better place recognition accuracy than other methods.Meanwhile,we introduce a large kernel convolution adapter to fine tune the pre-trained model,obtaining a better image feature representation for subsequent robust feature learning.Then,we process the information of different local regions in the general features through a 3-layer pyramid scene parsing network and fuse it with a tag that retains global information to construct a multi-dimensional image feature representation.Based on this,we use the fused features of similar images to drive the robust feature learning of the original images and complete the feature matching between query images and retrieved images.Experiments on multiple commonly used datasets show that our method exhibits excellent performance.On average,CerfeVPR achieves the highest results,with all Recall@N values exceeding 90%.In particular,on the highly challenging Nordland dataset,the R@1 metric is improved by 4.6%,significantly outperforming other methods,which fully verifies the superiority of CerfeVPR in visual place recognition under complex environments.展开更多
Urban and peri-urban forests and trees play an important role by providing ecosystem services. Vegetation in sacred and cult places is among the useful forests and trees, but their characteristics are not well-documen...Urban and peri-urban forests and trees play an important role by providing ecosystem services. Vegetation in sacred and cult places is among the useful forests and trees, but their characteristics are not well-documented. It’s necessary to assess the potential of biodiversity conservation in sacred and cult places. This research aimed to enhance knowledge of the woody diversity in cult places in Ziguinchor. To achieve this, woody vegetation surveys were conducted to determine floristic composition and, diversity and structural parameters of woody vegetation. A total of 89 species belonging to 71 genera and 33 families were recorded, Fabaceae and Moraceae dominated in cemeteries and parishes, while Arecaceae and Euphorbiaceae were prevalent in mosques. Tree diversity varied according to cult places. Parishes recorded significatively higher diversity (2.2 ± 0.18) than cemeteries (1.59 ± 0.13) and mosques (1.07 ± 0.36). Cult places inflenced significatly the structural parameters. Tree density was higher in cemeteries (482.26 ± 302.71 indiv/ha) compared to parishes (197.61 ± 67.14 indiv/ha) and mosques (32.34 ± 4.89 indiv/ha). Mosques were characterized by higher canopy cover (25.43 ± 11.65 m2/ha), larger (83.72 ± 20.09 cm) and taller (16.28 ± 1.28 m) trees. Natural regeneration was also strongest in cemeteries (91.69% ± 3.715%), followed by parishes (62.22% ± 8.56%) and mosques (38.82% ± 14.5%). The cult places play an important ecological role in biodiversity conservation in urban and peri-urban areas.展开更多
Current gas well decline analysis under boundary-dominated flow(BDF)is largely based on the Arps'empirical hyperbolic decline model and the analytical type curve tools associated with pseudo-functions.Due to the n...Current gas well decline analysis under boundary-dominated flow(BDF)is largely based on the Arps'empirical hyperbolic decline model and the analytical type curve tools associated with pseudo-functions.Due to the nonlinear flow behavior of natural gas,these analysis methods generally require iterative calculations.In this study,the dimensionless gas rate(qg/qgi)is introduced,and an explicit method to determine the average reservoir pressure and the original gas in place(OGIP)for a volumetric gas reservoir is proposed.We show that the dimensionless gas rate in the BDF is only the function of the gas PVT parameters and reservoir pressure.Step-by-step analysis procedures are presented that enable explicit and straightforward estimation of average reservoir pressure and OGIP by straight-line analysis.Compared with current techniques,this methodology avoids the iterative calculation of pseudo-time and pseudo-pressure functions,lowers the multiplicity of type curve analysis,and is applicable in different production situations(constant/variable gas flow rate,constant/variable bottom-hole pressure)with a broad range of applications and ease of use.Reservoir numerical simulation and field examples are thoroughly discussed to highlight the capabilities of the proposed approach.展开更多
Visual Place Recognition(VPR)technology aims to use visual information to judge the location of agents,which plays an irreplaceable role in tasks such as loop closure detection and relocation.It is well known that pre...Visual Place Recognition(VPR)technology aims to use visual information to judge the location of agents,which plays an irreplaceable role in tasks such as loop closure detection and relocation.It is well known that previous VPR algorithms emphasize the extraction and integration of general image features,while ignoring the mining of salient features that play a key role in the discrimination of VPR tasks.To this end,this paper proposes a Domain-invariant Information Extraction and Optimization Network(DIEONet)for VPR.The core of the algorithm is a newly designed Domain-invariant Information Mining Module(DIMM)and a Multi-sample Joint Triplet Loss(MJT Loss).Specifically,DIMM incorporates the interdependence between different spatial regions of the feature map in the cascaded convolutional unit group,which enhances the model’s attention to the domain-invariant static object class.MJT Loss introduces the“joint processing of multiple samples”mechanism into the original triplet loss,and adds a new distance constraint term for“positive and negative”samples,so that the model can avoid falling into local optimum during training.We demonstrate the effectiveness of our algorithm by conducting extensive experiments on several authoritative benchmarks.In particular,the proposed method achieves the best performance on the TokyoTM dataset with a Recall@1 metric of 92.89%.展开更多
基金Foundation of China(Grant No.60175020and60673037) and the National High Technology Research and Development Program of China (Grant No.2002AA117010-09).
文摘A SVMs (Support Vector Machines) based method to identify Chinese place names is presented. In our approach, place name candidate is located according to a rational forming assumption, then SVMs based identification strategy is used to distinguish whether one candidate is true place name or not. Referring to linguistic knowledge, basic semanteme of a contextual word and frequency information of words inside place name candidate are selected as features in our methodology. So dimension in the feature space is reduced dramatically and processing procedure is performed more efficiently. Result of open testing on unregistered place names achieves F-measure 83.25 in 8.17 million words news based on this project.
基金sponsored by the Special Earthquake Scientific Research Program(0270812),CEAthe Basic Scientific Funds for Institute(020904)
文摘Determining an epicenter reference place name (herein after to be referred as "DERPN") is a basic task,but is very important for standardizing the compilation of earthquake catalogues.However,there has been little studies on DERPN.This paper summarizes the development and issues surrounding DERPN and puts forward principles and methods of DERPN.
文摘This paper focuses on characteristics studies of Kazak place names in Ili Kazak Autonomous Prefecture based on Univer-sal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and thorough study,this paper foundthat because of different traditional lifestyles and different political strategies through different historical periods,this paper provedthat the Kazaks as the nomads were proficient in observing the environmental conditions,and made full use of them to name places.
文摘Because of its peculiar language environment with multi ethnicities and the One Belt and One Road initiative,the studies of place names in Ili Kazak Autonomous Prefecture attract many linguists’interests.This paper focuses on characteristics studies of Uyghur place names in Ili Kazak Autonomous Prefecture based on Universal Principles of Tendencies proposed by the Polish linguist Witold Manczak.Through careful and thorough study,this paper found that because of different traditional lifestyles and different political strategies through different historical periods,as urban people,the Uyghur place names highlighted the Uyghur people’s great contributions to artificial constructions.
文摘Based on the village-level place names in Anhui Province,the formation mechanism and distribution characteristics of place names were discussed from the aspects of culture and nature using thematic maps obtained with the combination of kernel density estimation and mathematical statistics in GIS.The results showed that the place names of villages in Anhui Province are closely related to the local cultural landscape and natural landscape,and are the products of thousands of years of continuous exploration and cultural exchanges by local people.It not only reflects the relationship between place names and Anhui natural landform and cultural landscapes,but also combines them from different perspectives,reflecting the complexity and similarities of the formation of place names.
文摘Chinese classic poems are a part of Chinese cultural heritage.The place names contain lots of Chinese cultural charac-teristics.Some have special connotations and how to translate these connotations in the poems is another difficulty of poem translation. We should put both keeping the cultural characteristics and the understanding capacity of the target readers into consideration.Guided by Functional Equivalence,this thesis intends to discuss the translation of place names in Chinese poems,aims to broadcast Chinese culture.
基金The Soft Science Project of Sichuan Department of Science and Technology (2019JDR0260)。
文摘Place names that contain rich regional cultural connotations are “living fossils” of history and culture, and they are of great tourist value. Taking the main urban area of Chengdu City as an example, this paper analyzes the cultural characteristics and connotations of place names, as well as their tourist values. This value is believed to mainly include stimulating tourists’ interest in traveling, presenting local tourism features, enhancing the travel experience of the visitors and serving the tourism economy. Then this paper discusses the problems of place name cultural heritage and puts forward the tourism development strategies for Chengdu’s place name culture. Such strategies could include establishing a tourism place name system of Chengdu scenic spot names, using place names in the restoration and development of ancient scenery, combining place names with food tourism resources and high-quality tourism commodities, developing cultural and creative products related to Chengdu place names,strengthening the theoretical discussion on Chengdu place name culture and conducting dissemination activities for Chengdu place name culture.
基金financed by 2024 Gansu Province College Teachers'Innovation Fund Project(2024B-051)Northwest Normal University Young Teachers'Research Ability Enhancement Program Project(NWNU-LKQN2019-25)Grant number Gansu Provincial Social Science Planning Youth Project"Research on the Construction of Tourism Safety Guarantee System for Scenic Spots in Gansu Province"(2021QN008).
文摘This study explores the impact of perceived value,awe,and place attachment on tourists'environmentally responsible behavior(ERB)in desert tourism contexts,using the Singing Sands Mountain and Crescent Spring scenic area in Dunhuang,China as a case study.Data were collected from 315 tourists using a structured questionnaire and analyzed through a structural equation model.Results show that perceived value and awe significantly influence ERB both directly and indirectly via place attachment.Specifically,perceived value has a stronger direct effect on ERB compared to awe,highlighting the importance of tourists'overall evaluation of the destination in promoting sustainable behaviors.The mediating role of place attachment underscores the significance of emotional connections to the environment in fostering ERB.These findings provide valuable insights for sustainable tourism management in fragile desert ecosystems.The study also highlights the importance of enhancing perceived value through high-quality services and leveraging awe-inspiring experiences to promote sustainable behaviors.
文摘The rapid emergence of the Internet of Things(IoT),immersive technologies,and spatial devices is transforming architecture by changing the built environment from a passive backdrop to an active participant in user activities.This shift creates complex sociotechnical networks and leads to what we call intelligent places adaptive systems that respond to user behavior,environmental signals,and interactions with architectural components.This study investigates how advanced material foundations and embedded technological objects shape human-building interactions and drive adaptive behaviors in intelligent place systems.We test the hypothesis that integrating virtual reality(VR),augmented reality(AR),and spatial sensors within smart materials creates continuous real-time feedback loops.These loops are expected to enhance user engagement,spatial adaptability,and environmental responsiveness.Employing a qualitative methodology that includes case studies and content analysis,augmented by AI-assisted image analysis,we explore recent trends in smart building design through two projects:the Spatially Intelligent Arts Centre in Geelong,Australia,and the iPortals network of interactive spatial components.The findings indicate that intelligent places are open,dynamic,and continually evolving systems.Technological objects mediate multiloop feedback among users,materials,and building automation,enabling more autonomous,energy-efficient,and responsive environments.This study contributes a conceptual framework for understanding how technological objects and their material Foundations mediate human-building interactions in intelligent places.Future research should consider scalability across different architectural contexts and explore the sociocultural impacts on diverse user groups.
基金supported by Postgraduate Scientific Research Innovation Project of Hunan Province CX20230915National Natural Science Foundation of China under Grant 62472440.
文摘In the Visual Place Recognition(VPR)task,existing research has leveraged large-scale pre-trained models to improve the performance of place recognition.However,when there are significant environmental differences between query images and reference images,a large number of ineffective local features will interfere with the extraction of key landmark features,leading to the retrieval of visually similar but geographically different images.To address this perceptual aliasing problem caused by environmental condition changes,we propose a novel Visual Place Recognition method with Cross-Environment Robust Feature Enhancement(CerfeVPR).This method uses the GAN network to generate similar images of the original images under different environmental conditions,thereby enhancing the learning of robust features of the original images.This enables the global descriptor to effectively ignore appearance changes caused by environmental factors such as seasons and lighting,showing better place recognition accuracy than other methods.Meanwhile,we introduce a large kernel convolution adapter to fine tune the pre-trained model,obtaining a better image feature representation for subsequent robust feature learning.Then,we process the information of different local regions in the general features through a 3-layer pyramid scene parsing network and fuse it with a tag that retains global information to construct a multi-dimensional image feature representation.Based on this,we use the fused features of similar images to drive the robust feature learning of the original images and complete the feature matching between query images and retrieved images.Experiments on multiple commonly used datasets show that our method exhibits excellent performance.On average,CerfeVPR achieves the highest results,with all Recall@N values exceeding 90%.In particular,on the highly challenging Nordland dataset,the R@1 metric is improved by 4.6%,significantly outperforming other methods,which fully verifies the superiority of CerfeVPR in visual place recognition under complex environments.
文摘Urban and peri-urban forests and trees play an important role by providing ecosystem services. Vegetation in sacred and cult places is among the useful forests and trees, but their characteristics are not well-documented. It’s necessary to assess the potential of biodiversity conservation in sacred and cult places. This research aimed to enhance knowledge of the woody diversity in cult places in Ziguinchor. To achieve this, woody vegetation surveys were conducted to determine floristic composition and, diversity and structural parameters of woody vegetation. A total of 89 species belonging to 71 genera and 33 families were recorded, Fabaceae and Moraceae dominated in cemeteries and parishes, while Arecaceae and Euphorbiaceae were prevalent in mosques. Tree diversity varied according to cult places. Parishes recorded significatively higher diversity (2.2 ± 0.18) than cemeteries (1.59 ± 0.13) and mosques (1.07 ± 0.36). Cult places inflenced significatly the structural parameters. Tree density was higher in cemeteries (482.26 ± 302.71 indiv/ha) compared to parishes (197.61 ± 67.14 indiv/ha) and mosques (32.34 ± 4.89 indiv/ha). Mosques were characterized by higher canopy cover (25.43 ± 11.65 m2/ha), larger (83.72 ± 20.09 cm) and taller (16.28 ± 1.28 m) trees. Natural regeneration was also strongest in cemeteries (91.69% ± 3.715%), followed by parishes (62.22% ± 8.56%) and mosques (38.82% ± 14.5%). The cult places play an important ecological role in biodiversity conservation in urban and peri-urban areas.
基金supported by the Young Elite Scientist Sponsorship Program by Beijing Association for Science and Technology,China(No.BYESS2023262)the Science Foundation of China University of Petroleum(Beijing),China(No.2462022BJRC004).
文摘Current gas well decline analysis under boundary-dominated flow(BDF)is largely based on the Arps'empirical hyperbolic decline model and the analytical type curve tools associated with pseudo-functions.Due to the nonlinear flow behavior of natural gas,these analysis methods generally require iterative calculations.In this study,the dimensionless gas rate(qg/qgi)is introduced,and an explicit method to determine the average reservoir pressure and the original gas in place(OGIP)for a volumetric gas reservoir is proposed.We show that the dimensionless gas rate in the BDF is only the function of the gas PVT parameters and reservoir pressure.Step-by-step analysis procedures are presented that enable explicit and straightforward estimation of average reservoir pressure and OGIP by straight-line analysis.Compared with current techniques,this methodology avoids the iterative calculation of pseudo-time and pseudo-pressure functions,lowers the multiplicity of type curve analysis,and is applicable in different production situations(constant/variable gas flow rate,constant/variable bottom-hole pressure)with a broad range of applications and ease of use.Reservoir numerical simulation and field examples are thoroughly discussed to highlight the capabilities of the proposed approach.
基金supported by the Natural Science Foundation of Xinjiang Uygur Autonomous Region under grant number 2022D01B186.
文摘Visual Place Recognition(VPR)technology aims to use visual information to judge the location of agents,which plays an irreplaceable role in tasks such as loop closure detection and relocation.It is well known that previous VPR algorithms emphasize the extraction and integration of general image features,while ignoring the mining of salient features that play a key role in the discrimination of VPR tasks.To this end,this paper proposes a Domain-invariant Information Extraction and Optimization Network(DIEONet)for VPR.The core of the algorithm is a newly designed Domain-invariant Information Mining Module(DIMM)and a Multi-sample Joint Triplet Loss(MJT Loss).Specifically,DIMM incorporates the interdependence between different spatial regions of the feature map in the cascaded convolutional unit group,which enhances the model’s attention to the domain-invariant static object class.MJT Loss introduces the“joint processing of multiple samples”mechanism into the original triplet loss,and adds a new distance constraint term for“positive and negative”samples,so that the model can avoid falling into local optimum during training.We demonstrate the effectiveness of our algorithm by conducting extensive experiments on several authoritative benchmarks.In particular,the proposed method achieves the best performance on the TokyoTM dataset with a Recall@1 metric of 92.89%.
