The Experts below are selected from a list of 33930 Experts worldwide ranked by ideXlab platform
Yi-chang Chiu - One of the best experts on this subject based on the ideXlab platform.
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Transportation Routing Map Abstraction Approach: Algorithm and Numerical Analysis
Transportation Research Record, 2015Co-Authors: Lei Zhu, Yi-chang ChiuAbstract:The transportation Navigation Map is increasingly used in various transportation network modeling applications such as Navigation or traffic assignment. A typical Navigation Map contains all detailed facility layers and may not be as computationally efficient for path finding as a lower resolution Map. A lower resolution transportation routing Map retains only roadway layers related to route-finding roadway layers and is efficient for path finding, but this Map may result in only suboptimal routes. With the goal of balancing the quality and computation requirements of a transportation Navigation Map, the systematic abstraction of the lower resolution transportation routing Map from the Navigation Map is an important and nontrivial task. The challenge is in how the abstracted routing Map balances path-finding effectiveness and efficiency. To deal with this challenge, this study proposes an innovative Map abstraction method or connectivity enhancement algorithm. The algorithm starts from a low-resolution ne...
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Transportation Routing Map Abstraction Approach
Transportation Research Record: Journal of the Transportation Research Board, 2015Co-Authors: Lei Zhu, Yi-chang ChiuAbstract:The transportation Navigation Map is increasingly used in various transportation network modeling applications such as Navigation or traffic assignment. A typical Navigation Map contains all detailed facility layers and may not be as computationally efficient for path finding as a lower resolution Map. A lower resolution transportation routing Map retains only roadway layers related to route-finding roadway layers and is efficient for path finding, but this Map may result in only suboptimal routes. With the goal of balancing the quality and computation requirements of a transportation Navigation Map, the systematic abstraction of the lower resolution transportation routing Map from the Navigation Map is an important and nontrivial task. The challenge is in how the abstracted routing Map balances path-finding effectiveness and efficiency. To deal with this challenge, this study proposes an innovative Map abstraction method or connectivity enhancement algorithm. The algorithm starts from a low-resolution network and continues updating the routing Map by adding new links and nodes when it processes each search set node. The outcome of the proposed algorithm is an abstract Map that retains the original detailed Map's hierarchical structure with high topological connectivity quality at a significant computation saving.
Luc Steels - One of the best experts on this subject based on the ideXlab platform.
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augmenting Navigation for collaborative tagging with emergent semantics
International Semantic Web Conference, 2006Co-Authors: Melanie Aurnhammer, Peter Hanappe, Luc SteelsAbstract:We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complemented by simple image analysis and classification. This allows us to find new relations between data elements. We introduce the concept of a Navigation Map, that describes links between users, tags, and data elements for the example of the collaborative tagging site Flickr. We show that introducing similarity search based on image features yields additional links on this Map. These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.
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International Semantic Web Conference - Augmenting Navigation for collaborative tagging with emergent semantics
Lecture Notes in Computer Science, 2006Co-Authors: Melanie Aurnhammer, Peter Hanappe, Luc SteelsAbstract:We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complemented by simple image analysis and classification. This allows us to find new relations between data elements. We introduce the concept of a Navigation Map, that describes links between users, tags, and data elements for the example of the collaborative tagging site Flickr. We show that introducing similarity search based on image features yields additional links on this Map. These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.
Lei Zhu - One of the best experts on this subject based on the ideXlab platform.
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Transportation Routing Map Abstraction Approach: Algorithm and Numerical Analysis
Transportation Research Record, 2015Co-Authors: Lei Zhu, Yi-chang ChiuAbstract:The transportation Navigation Map is increasingly used in various transportation network modeling applications such as Navigation or traffic assignment. A typical Navigation Map contains all detailed facility layers and may not be as computationally efficient for path finding as a lower resolution Map. A lower resolution transportation routing Map retains only roadway layers related to route-finding roadway layers and is efficient for path finding, but this Map may result in only suboptimal routes. With the goal of balancing the quality and computation requirements of a transportation Navigation Map, the systematic abstraction of the lower resolution transportation routing Map from the Navigation Map is an important and nontrivial task. The challenge is in how the abstracted routing Map balances path-finding effectiveness and efficiency. To deal with this challenge, this study proposes an innovative Map abstraction method or connectivity enhancement algorithm. The algorithm starts from a low-resolution ne...
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Transportation Routing Map Abstraction Approach
Transportation Research Record: Journal of the Transportation Research Board, 2015Co-Authors: Lei Zhu, Yi-chang ChiuAbstract:The transportation Navigation Map is increasingly used in various transportation network modeling applications such as Navigation or traffic assignment. A typical Navigation Map contains all detailed facility layers and may not be as computationally efficient for path finding as a lower resolution Map. A lower resolution transportation routing Map retains only roadway layers related to route-finding roadway layers and is efficient for path finding, but this Map may result in only suboptimal routes. With the goal of balancing the quality and computation requirements of a transportation Navigation Map, the systematic abstraction of the lower resolution transportation routing Map from the Navigation Map is an important and nontrivial task. The challenge is in how the abstracted routing Map balances path-finding effectiveness and efficiency. To deal with this challenge, this study proposes an innovative Map abstraction method or connectivity enhancement algorithm. The algorithm starts from a low-resolution network and continues updating the routing Map by adding new links and nodes when it processes each search set node. The outcome of the proposed algorithm is an abstract Map that retains the original detailed Map's hierarchical structure with high topological connectivity quality at a significant computation saving.
Melanie Aurnhammer - One of the best experts on this subject based on the ideXlab platform.
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augmenting Navigation for collaborative tagging with emergent semantics
International Semantic Web Conference, 2006Co-Authors: Melanie Aurnhammer, Peter Hanappe, Luc SteelsAbstract:We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complemented by simple image analysis and classification. This allows us to find new relations between data elements. We introduce the concept of a Navigation Map, that describes links between users, tags, and data elements for the example of the collaborative tagging site Flickr. We show that introducing similarity search based on image features yields additional links on this Map. These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.
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International Semantic Web Conference - Augmenting Navigation for collaborative tagging with emergent semantics
Lecture Notes in Computer Science, 2006Co-Authors: Melanie Aurnhammer, Peter Hanappe, Luc SteelsAbstract:We propose an approach that unifies browsing by tags and visual features for intuitive exploration of image databases. In contrast to traditional image retrieval approaches, we utilise tags provided by users on collaborative tagging sites, complemented by simple image analysis and classification. This allows us to find new relations between data elements. We introduce the concept of a Navigation Map, that describes links between users, tags, and data elements for the example of the collaborative tagging site Flickr. We show that introducing similarity search based on image features yields additional links on this Map. These theoretical considerations are supported by examples provided by our system, using data and tags from real Flickr users.
I Hossain - One of the best experts on this subject based on the ideXlab platform.
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secure software upload in an intelligent vehicle via wireless communication links
Intelligent Vehicles Symposium, 2005Co-Authors: Syed Masud Mahmud, Shobhit Shanker, I HossainAbstract:The demand for drive-by-wire, telematics, entertainment, multimedia, pre-crash warning, highway guidance, remote diagnostic, etc. will significantly increase the complexity of a vehicle's software modules. From time to time, the vehicle's software may need to be updated due to many reasons such as the introduction of new features in vehicles, changing the Navigation Map, fixing software bugs, etc. Software updates must be done in secure modes to avoid any future disasters due to malfunctions of the vehicle. In this paper, we propose an architecture for secure software uploads in vehicles. We provide a detailed description of the secure software upload process.
