Abstract—In this paper we present Moppy — an application for mobile object position prediction. Moppy is an easy to use, intuitive application with interactive graphical user interface and result visualization. The main purpose of Moppy is to predict an unknown position of a mobile object based on frequent trajectories discovered from historical movement data. In this paper we present an overview of Moppy’s features, including input data formats, mining algorithms employed by Moppy, and visualization of prediction results. Some research issues pertaining to the development of Moppy are also briefly discussed in this paper. I
With the maturity and wide availability of GPS, wireless, telecommunication, andWeb technologies, ma...
ABSTRACT Today portable devices as mobile phones, laptops, personal digital assistants(PDAs), and ...
Abstract — Context-awareness is viewed as one of the most important aspects in the emerging pervasiv...
Mobile applications are required to operate in highly dynamic pervasive computing environments of dy...
The tremendous growth of positioning technologies and GPS enabled devices has produced huge volumes ...
This dissertation challenges an unstudied area in moving objects database domains; predicting (long-...
This thesis deals with the design and the implementation of the application for predicting future lo...
Existing prediction methods in moving objects databases cannot work well on fragmental trajectory su...
We show how to design a motion prediction algorithm that works with 3D object detections and map loc...
Data about moving objects have been collected in huge amounts due to the proliferation of mobile dev...
Context-awareness is viewed as one of the most important aspects in the emerging pervasive computing...
Mobile context-aware applications experience a constantly changing environment with increased dynami...
Abstract—This paper proposes a location prediction modelthat can be used for predicting a moving rou...
With the maturity of GPS, wireless, and Web technologies, increasing amounts of movement data collec...
Existing prediction methods in moving objects databases cannot work well on fragmental trajectory su...
With the maturity and wide availability of GPS, wireless, telecommunication, andWeb technologies, ma...
ABSTRACT Today portable devices as mobile phones, laptops, personal digital assistants(PDAs), and ...
Abstract — Context-awareness is viewed as one of the most important aspects in the emerging pervasiv...
Mobile applications are required to operate in highly dynamic pervasive computing environments of dy...
The tremendous growth of positioning technologies and GPS enabled devices has produced huge volumes ...
This dissertation challenges an unstudied area in moving objects database domains; predicting (long-...
This thesis deals with the design and the implementation of the application for predicting future lo...
Existing prediction methods in moving objects databases cannot work well on fragmental trajectory su...
We show how to design a motion prediction algorithm that works with 3D object detections and map loc...
Data about moving objects have been collected in huge amounts due to the proliferation of mobile dev...
Context-awareness is viewed as one of the most important aspects in the emerging pervasive computing...
Mobile context-aware applications experience a constantly changing environment with increased dynami...
Abstract—This paper proposes a location prediction modelthat can be used for predicting a moving rou...
With the maturity of GPS, wireless, and Web technologies, increasing amounts of movement data collec...
Existing prediction methods in moving objects databases cannot work well on fragmental trajectory su...
With the maturity and wide availability of GPS, wireless, telecommunication, andWeb technologies, ma...
ABSTRACT Today portable devices as mobile phones, laptops, personal digital assistants(PDAs), and ...
Abstract — Context-awareness is viewed as one of the most important aspects in the emerging pervasiv...