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Theses and Projects: Difference between revisions
→* New! Image-to-Image Translation of Different Nightlight Image Types (B/M/P)
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=== * '''New!''' Edge-Cloud Orchestration for LiDAR-based Traffic Analysis=== | === * '''New!''' Edge-Cloud Orchestration for LiDAR-based Traffic Analysis=== | ||
The imminent era of smart cities and autonomous vehicles paves the way for the deployment and operation of advanced monitoring and processing systems. Among these, LiDAR technology stands out for its ability to provide high-resolution, three-dimensional traffic data, becoming an essential component for efficient traffic analysis and management. However, the computation-intensive and latency-sensitive nature of LiDAR data processing poses significant challenges and dictates the need for efficient orchestration between edge and cloud computing resources. Edge-Cloud Orchestration offers an innovative solution to this problem by bridging the gap between these two technologies, enabling the low-latency processing of complex LiDAR data. | The imminent era of smart cities and autonomous vehicles paves the way for the deployment and operation of advanced monitoring and processing systems. Among these, LiDAR technology stands out for its ability to provide high-resolution, three-dimensional traffic data, becoming an essential component for efficient traffic analysis and management. However, the computation-intensive and latency-sensitive nature of LiDAR data processing poses significant challenges and dictates the need for efficient orchestration between edge and cloud computing resources. Edge-Cloud Orchestration offers an innovative solution to this problem by bridging the gap between these two technologies, enabling the low-latency processing of complex LiDAR data. It would be good if you have a background in point cloud processing/cloud computing, K8s, and programming skills. | ||
Please contact Yanlong Huang[yanlong.huang@cs.uni-goettingen.de] | Please contact Yanlong Huang[yanlong.huang@cs.uni-goettingen.de] | ||
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Please contact Wenfang Wu [wenfang.wu@cs.uni-goettingen.de] | Please contact Wenfang Wu [wenfang.wu@cs.uni-goettingen.de] | ||
=== * '''New!''' Using LLM for Knowledge Graph Completion (B/M/P)=== | === * '''New!''' Using LLM for Knowledge Graph Completion (B/M/P)=== | ||
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Please contact Fabian Wölk [fabian.woelk@cs.uni-goettingen.de] | Please contact Fabian Wölk [fabian.woelk@cs.uni-goettingen.de] | ||
=== | === [Occupied] Image-to-Image Translation of Different Nightlight Image Types (B/M/P) === | ||
Nightlight intensities have been proven to be a good indicator for socio-economic status. However, for long-term temporal analyses their use can be challenging, as different satellites for sensing nightlight intensities operated at different times (DMSP OLS 1992-2014 and VIIRS 2012-2023). Both types differ not only in resolution, but there is also a big discrepancy in the optical appearance and value ranges. To obtain consistent nightlight images for temporal analysis, Image-to-Image Translation methods shall be used in this project/thesis for the conversion between both types. Finally the performance of the translated and original nightlight images for a regression on socio-economic indicators shall be evaluated. | Nightlight intensities have been proven to be a good indicator for socio-economic status. However, for long-term temporal analyses their use can be challenging, as different satellites for sensing nightlight intensities operated at different times (DMSP OLS 1992-2014 and VIIRS 2012-2023). Both types differ not only in resolution, but there is also a big discrepancy in the optical appearance and value ranges. To obtain consistent nightlight images for temporal analysis, Image-to-Image Translation methods shall be used in this project/thesis for the conversion between both types. Finally the performance of the translated and original nightlight images for a regression on socio-economic indicators shall be evaluated. | ||