In this paper,we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform(2D-SMCWT).The fusion of the detail 2D-SMCWT cofficients is performed via a Bayesian Maximum a Poste...In this paper,we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform(2D-SMCWT).The fusion of the detail 2D-SMCWT cofficients is performed via a Bayesian Maximum a Posteriori(MAP)approach by considering a trivariate statistical model for the local neighboring of 2D-SMCWT coefficients.For the approx imation coefficients,a new fusion rule based on the Principal Component Analysis(PCA)is applied.We conduct several experiments using three different groups of multimodal medical images to evaluate the performance of the proposed method.The obt ained results prove the superiority of the proposed method over the state of the art fusion methods in terms of visual quality and several commonly used metrics.Robustness of the proposed method is further tested against different types of noise.The plots of fusion met rics establish the accuracy of the proposed fusion method.展开更多
Since 2012 the work on a cooling system for borehole probes is going on at the IAI. It is supposed to allow the usage of standard electronics, as a first approach in borehole environments at 5 km depth, with 200℃ and...Since 2012 the work on a cooling system for borehole probes is going on at the IAI. It is supposed to allow the usage of standard electronics, as a first approach in borehole environments at 5 km depth, with 200℃ and 600 bar. Within ZWERG, the cooling system serves as base to realize different measurement operations without time limitations. Therefore it contains an insulation to reduce outer heat input, an active cooling system to cool down components which are sensitive to heat inside, like electronics, as well as a cooled room where the electronic can be installed. The first approach based on the example borehole in Soultz-sous-f6ret, France （5 km, 200℃） shall initiate further project in this field, with the perspective to conduct measurement operations in even hotter boreholes. Alternative methods of heat management in borehole probes investigated and developed at IAI, are high temperature electronics and PCM-systems.展开更多
Natural disasters such as volcanic eruptions,earthquakes,tsunamis,floods,fires,droughts,landslides and others occur frequently in most parts of our world.Therefore,many activities are being carried out to improve espe...Natural disasters such as volcanic eruptions,earthquakes,tsunamis,floods,fires,droughts,landslides and others occur frequently in most parts of our world.Therefore,many activities are being carried out to improve especially the Early Warning(EW)for disasters,but also all other phases of Disaster Management(DM)such as preparedness,awareness,response,recovery and mitigation.展开更多
This special issue is part of a double special issue(Part A was published in the previous issue of this journal)dealing with the role of Geographic Information(GI)for Early Warning(EW)and Disaster Management(DM).In th...This special issue is part of a double special issue(Part A was published in the previous issue of this journal)dealing with the role of Geographic Information(GI)for Early Warning(EW)and Disaster Management(DM).In the editorial of Part A we gave an introduction to the topic focussing on initiatives from the EU and China and we have highlighted the importance of Digital Earth for EWand DM.We have also reflected on the outcome of some events organized by the vip editors which were important for the topic and for this special issue.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
In this paper a new scheme for mixed mode scan-based BIST is presented with complete fault coverage, and some new concepts of folding set and computing are introduced.This scheme applies single feedback polynomial of ...In this paper a new scheme for mixed mode scan-based BIST is presented with complete fault coverage, and some new concepts of folding set and computing are introduced.This scheme applies single feedback polynomial of LFSR for generating pseudo-random patterns, as well as for compressing and extending seeds of folding sets and an LFSR, where we encode seed of folding set as an initial seed of LFSR. Moreover these new techniques are 100%compatible with scan design. Experimental results show that the proposed scheme outperforms previously published approaches based on the reseeding of LFSRs.展开更多
文摘In this paper,we propose a new image fusion algorithm based on two-dimensional Scale-Mixing Complex Wavelet Transform(2D-SMCWT).The fusion of the detail 2D-SMCWT cofficients is performed via a Bayesian Maximum a Posteriori(MAP)approach by considering a trivariate statistical model for the local neighboring of 2D-SMCWT coefficients.For the approx imation coefficients,a new fusion rule based on the Principal Component Analysis(PCA)is applied.We conduct several experiments using three different groups of multimodal medical images to evaluate the performance of the proposed method.The obt ained results prove the superiority of the proposed method over the state of the art fusion methods in terms of visual quality and several commonly used metrics.Robustness of the proposed method is further tested against different types of noise.The plots of fusion met rics establish the accuracy of the proposed fusion method.
文摘Since 2012 the work on a cooling system for borehole probes is going on at the IAI. It is supposed to allow the usage of standard electronics, as a first approach in borehole environments at 5 km depth, with 200℃ and 600 bar. Within ZWERG, the cooling system serves as base to realize different measurement operations without time limitations. Therefore it contains an insulation to reduce outer heat input, an active cooling system to cool down components which are sensitive to heat inside, like electronics, as well as a cooled room where the electronic can be installed. The first approach based on the example borehole in Soultz-sous-f6ret, France （5 km, 200℃） shall initiate further project in this field, with the perspective to conduct measurement operations in even hotter boreholes. Alternative methods of heat management in borehole probes investigated and developed at IAI, are high temperature electronics and PCM-systems.
文摘Natural disasters such as volcanic eruptions,earthquakes,tsunamis,floods,fires,droughts,landslides and others occur frequently in most parts of our world.Therefore,many activities are being carried out to improve especially the Early Warning(EW)for disasters,but also all other phases of Disaster Management(DM)such as preparedness,awareness,response,recovery and mitigation.
文摘This special issue is part of a double special issue(Part A was published in the previous issue of this journal)dealing with the role of Geographic Information(GI)for Early Warning(EW)and Disaster Management(DM).In the editorial of Part A we gave an introduction to the topic focussing on initiatives from the EU and China and we have highlighted the importance of Digital Earth for EWand DM.We have also reflected on the outcome of some events organized by the vip editors which were important for the topic and for this special issue.
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In this paper a new scheme for mixed mode scan-based BIST is presented with complete fault coverage, and some new concepts of folding set and computing are introduced.This scheme applies single feedback polynomial of LFSR for generating pseudo-random patterns, as well as for compressing and extending seeds of folding sets and an LFSR, where we encode seed of folding set as an initial seed of LFSR. Moreover these new techniques are 100%compatible with scan design. Experimental results show that the proposed scheme outperforms previously published approaches based on the reseeding of LFSRs.
