A. K. M. Mustafizur Rahman Khan

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Finding a convenient meeting point for a group is a common problem. For example, a group of users may want to meet at a restaurant that minimizes the group’s total travel distance. Such queries are called Group Nearest Neighbor (GNN) queries. Up to now, users have had to rely on an external party, typically a location service provider (LSP), for computing(More)
We introduce a new type of spatial query, Optimal Accessible Location (OAL) query. When a set of paths is provided the query finds the best location from a set of locations that has the optimal accessibility from these paths. OAL queries have many applications such as the selection of the optimal location for a mobile facility such as a food truck or(More)
This paper presents a speaker verification system using a combination of Vector Quantization (VQ) and Hidden Markov Model (HMM) to improve the HMM performance. A Malay spoken digit database which contains 100 speakers is used for the testing and validation modules. It is shown that, by using the proposed combination technique, a total success rate (TSR) of(More)
A Group Nearest Neighbor (GNN) query finds a point of interest (POI) that minimizes the aggregate distance for a group of users. In current systems, users have to reveal their exact, often sensitive locations to issue a GNN query. This calls for private GNN queries. However, existing methods for private GNN queries either are computationally too expensive(More)
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