Providing a sensor composite service based on operational and spatial constraints

C Bisdikian, CR Gibson, DP Harries, SY Shah… - US Patent …, 2017 - Google Patents
Mechanisms are provided for generating a composite Ser vice. A request to generate the
composite service is received that identifies a geospatial region of interest for the com posite …

Enhancing object-oriented programming education using static and dynamic visualization

J Yang, Y Lee, D Hicks… - 2015 IEEE Frontiers in …, 2015 - ieeexplore.ieee.org
While Object-Oriented programming in Java has been widely adopted as an introductory
programming course in Computer Science, it is considered difficult to teach and learn …

Characterizing and selecting providers of relevant information based on quality of information metrics

C Bisdikian, G Tychogiorgos - US Patent 8,589,389, 2013 - Google Patents
Mechanisms for selecting data providers to provide input data to an application are
provided. A desired region and desired quality of information (QoI) function for the desired …

A fast and noise resilient cluster-based anomaly detection

E Bigdeli, M Mohammadi, B Raahemi… - Pattern Analysis and …, 2017 - Springer
Clustering, while systematically applied in anomaly detection, has a direct impact on the
accuracy of the detection methods. Existing cluster-based anomaly detection methods are …

Providing a sensor composite service based on operational and spatial constraints

C Bisdikian, CR Gibson, DP Harries, SY Shah… - US Patent …, 2018 - Google Patents
Mechanisms are provided for generating a composite service. A request to generate the
composite service is received that identifies a geospatial region of interest for the composite …

Selecting relevant sensor providers for meeting" your" quality information needs

G Tychogiorgos, C Bisdikian - 2011 IEEE 12th International …, 2011 - ieeexplore.ieee.org
The accelerated, on-demand deployment of sensor networks raises the challenge of
selecting the providers supplying the most" relevant" sensory information to a user's needs …

[图书][B] An adaptive density-based method for clustering evolving data streams

A Amini - 2014 - search.proquest.com
Density-based method has emerged as a worthwhile class for clustering data streams. It has
the abilities to discover clusters of arbitrary shapes, handle noise, and cluster without prior …

Adaptive sampling for geometric problems over data streams

J Hershberger, S Suri - Computational Geometry, 2008 - Elsevier
Geometric coordinates are an integral part of many data streams. Examples include sensor
locations in environmental monitoring, vehicle locations in traffic monitoring or battlefield …

An iterative strategy for deep learning classification on spatial data streams

W Osborn, L King - The 23rd International Conference on Information …, 2021 - dl.acm.org
Although the classification of a static set of spatial objects has been well studied, the
classification of spatial objects generated by a spatial data stream has not. In this paper, we …

Ensemble Methods for Spatial Data Stream Classification

L King, W Osborn - Procedia Computer Science, 2023 - Elsevier
In this paper, we study the problem of classification of data in a spatial data stream. The
classification of spatial objects in a static data set has been well studied. However …