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The Feature-Based Spatio-temporal Data Model (FBSTDM) have been proposed for years, but because its data structure was complex, nearly was the semi-structured, only could use the special-purpose data format to carry on the data storage. Conventional relational or object- relational data model cannot be directly applied to FBSTDM, leading to the development and implement of FBSTDM is very fewer. XML...
Trajectory is defined as a movement of an object in space and time, which consists of a set of spatial and temporal data. Exploration of this dataset can be used to extract the movement behaviour of moving objects that is previously unknown. This research proposes several alternatives on how to retrieve information from trajectory dataset in a database system with the Antarctic's iceberg movements...
Generally, computers can successfully achieve object recognition by relying on sufficient information of observed objects. However, in real world, many objects own diverse configurations or objects are observed at various angles and positions, which make it difficult to match the observed objects with data models in a limited database. In this paper, to resolve the above problem, we propose an algorithm...
To address the issues of family tree information sharing, mining and spatial-temporal analyzing, this paper introduces database, network and GIS technologies into the research of family tree. It studies the mode of family tree standardization, digitization, spatialization and networking, and discusses the theory foundation, implementing techniques, cooperation platform of family tree information sharing...
As sensor networks become ubiquitous, the need for data mining of sensor network data is gaining momentum. Sensor network data is typically large, noisy and imbalanced, which makes it challenging to build a robust model from the data. In addition, traditional data mining often requires postmortem processing of the resulting statistically significant patterns to identify interesting patterns by means...
With the technology of Geographic Information System (GIS) as the core and for the goal of establishing the spatio-temporal database of an open pit stope, the process of the strip mine production planning including shelling excavating and casting can be considered as the changed process of 3D geographic-spatial information based on time series, by establishing the spatio-temporal database of stopes,...
The marine environmental data has a strong temporal-spatial characteristic. The ocean is always changing. In terms of time scale, marine environmental information is characterized by its climatology-scale variation features (i.e. year, season) and weather-scale variation features (i.e. day, hour). The multi-time scale and time-varying characteristics of marine environmental data products bring foreword...
Generally speaking, a large number of point-cloud data will be generated in the process of collecting 3D structure information of large building using the 3D LIDAR technology. Based on analyzing raw files content and form 3D laser scanning point-cloud data is reorganized and a storage mean of large-scale point-cloud data which is by data stream means is presented in this paper. The data is stored...
A web enabled visualization methodology is proposed in this work for viewing time varying spatial data. The technique is simple, and hence could be used by non experts of IT or GIS. The user can upload own datasets prepared in a given format with specific fields. The variation of time for data visualization can be adjusted. A web server and centralized GIS engine would process the data and the visualization...
Generalized Gaussian (GG) densities have been recently proposed to model both real and imaginary parts of Gabor coefficients. However, when matching faces, most systems make use of magnitude information only, due to its smooth behavior with displacements. The first goal of this paper is to propose a novel statistical model for the magnitude of Gabor coefficients, supposed that both real and imaginary...
Retrieving and analyzing trajectories favor the study of human behaviors in space and time. Although time geography has long proposed a conceptual framework for the interpretation of trajectory data, there is still a need for database and semantic models that support representation and manipulation. In fact, the concept of trajectory is rarely addressed as a sui generis data type that can be embedded...
In the era of information explosion, information retrieval has become a bottleneck in information sharing and integration. However currently, the existing information retrieval methods are mainly based on keyword matching, which can not fully take advantage of the information context and potential knowledge. All of these methods are particularly inefficient as to geospatial information which is more...
The Open Geospatial Consortium (OGC) Sensor Web Enablement initiative and is showing signs of maturity. One such sign is the development of software implementations of given OGC standards. We are aware of four implementations of the Sensor Observation Service (SOS) specification in various stages of development. We consider this quartet of implementations in the context of three observation scenarios...
According to recent advances in computer science and engineering, three dimensional (3D) graphical data is of growing interest in many application areas. In this paper, a data management technique is proposed to handle 3D graphical data with the time dimension from a database perspective. Different from the existing works, our technique deals with 3D graphical data in all of the three various aspects:...
The objective of this paper is to examine the contrast between local, field-surveyed topographical representation and feature representation in digital, centralized databases and to clarify their ontological implications. The semantics of these two approaches are contrasted by examining the categorization of features by subject domains inherent to national topographic mapping. When comparing five...
Data mining is usually defined as searching,analyzing and sifting through large amounts of data to find relationships, patterns, or any significant statistical correlation. Spatial Data Mining (SDM) is the process of discovering interesting, useful, non-trivial patterns information or knowledge from large spatial datasets.Extracting interesting and useful patterns from spatial datasets must be more...
The information about 3D moving geographic objects are changed with the location and time, including the real-time geographic information. More and more people concern the technology of that how to collect, model, store, query, analyze and process spatiotemporal information. This paper proposes a new visualization method based on the improved MOST model, collision detection and terrain matching. The...
Owing to the advances of computer and communication technologies, clustering analysis on moving objects has attracted increasing attention in recent years. An interesting pattern is to find the moving clusters that are composed of objects moving along for a long period of time. However, a moving cluster inclines to break after some time due to the goal change of some individual objects. In order to...
The speed of data retrieval qualitatively affects how analysts visually explore and analyze their data. To ensure smooth interactions in massive time series datasets, one needs to address the challenges of computing adhoc queries, distributing query load, and hiding system latency. In this paper, we present ATLAS, a visualization tool for temporal data that addresses these issues using a combination...
Data updating is a significant stage in the life of a geographical information system (GIS). When the fundamental GIS database has been updated by mapping organizations, the updates in it should be delivered in time to the end users for updating their own GIS database constructed based on the fundamental GIS database. However, at the present time, the updating service of fundamental GIS database is...
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