Suitable Algorithm

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B. Jiang - One of the best experts on this subject based on the ideXlab platform.

  • ICDE - A Suitable Algorithm for computing partial transitive closures in databases
    [1990] Proceedings. Sixth International Conference on Data Engineering, 1990
    Co-Authors: B. Jiang
    Abstract:

    The computation of partial transitive closures is considered as an elementary operation for implementing deductive database systems. A new Algorithm supporting this operation is presented. Unlike previously published Algorithms, which are based on either matrix manipulations or depth-first search strategy, the Algorithm presented uses breadth-first search as its dominant traversal strategy, a graph compression method to minimize temporary results, and Tarjan's technique in a new way to deal with strongly connected components. It is shown that this Algorithm is especially Suitable for computing partial transitive closures in databases, for it also aims at the minimization of disk I/O. Preliminary results of a simulation confirm this suitability. In addition, considerations about the implementation are presented. >

  • A Suitable Algorithm for computing partial transitive closures in databases
    [1990] Proceedings. Sixth International Conference on Data Engineering, 1990
    Co-Authors: B. Jiang
    Abstract:

    The computation of partial transitive closures is considered as an elementary operation for implementing deductive database systems. A new Algorithm supporting this operation is presented. Unlike previously published Algorithms, which are based on either matrix manipulations or depth-first search strategy, the Algorithm presented uses breadth-first search as its dominant traversal strategy, a graph compression method to minimize temporary results, and Tarjan's technique in a new way to deal with strongly connected components. It is shown that this Algorithm is especially Suitable for computing partial transitive closures in databases, for it also aims at the minimization of disk I/O. Preliminary results of a simulation confirm this suitability. In addition, considerations about the implementation are presented.

Xiaohong Chen - One of the best experts on this subject based on the ideXlab platform.

  • Mapping of chlorophyll-a concentration of reservoir Dajingshan, Zhuhai, China, from LandSat thematic mapper
    2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
    Co-Authors: Yujiu Xiong, Xiaohong Chen
    Abstract:

    Chlorophyll a (Chl-a) is an indicator of water quality, especially of eutrophic state. Remote sensing has been used to mapping Chl-a in lake, large river, estuary and ocean, due to its andvantages such as to provide data logistically and economically. The aim of this paper was to use LandSat TM image and Suitable Algorithm to estimate and map Chl-a concentration in reservoir Dajingshan, an important source for drinking water supply in Zhuhai city, China. After comparing several simple linear regression Algorithms, a most Suitable Algorithm using brightness value of bands 1 to 4, was adopted. The results showed that the modeled chl-a concentration in November 23th, 2005 had reasonable accuracy, with a mean absolute error of 0.002 mg/L when compared with the ground truth measurements. The chl-a concetration map showed that the reservior Dajingshan was in eutrophic conditions and the water could not be used as drinking water.

  • IGARSS - Mapping of chlorophyll-a concentration of reservoir Dajingshan, Zhuhai, China, from LandSat thematic mapper
    2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
    Co-Authors: Yujiu Xiong, Xiaohong Chen
    Abstract:

    Chlorophyll a (Chl-a) is an indicator of water quality, especially of eutrophic state. Remote sensing has been used to mapping Chl-a in lake, large river, estuary and ocean, due to its advantages such as to provide data logistically and economically. The aim of this paper was to use LandSat TM image and Suitable Algorithm to estimate and map Chl-a concentration in reservoir Dajingshan, an important source for drinking water supply in Zhuhai city, China. After comparing several simple linear regression Algorithms, a most Suitable Algorithm using brightness value of bands 1 to 4, was adopted. The results showed that the modeled chl-a concentration in November 23th, 2005 had reasonable accuracy, with a mean absolute error of 0.002 mg/L when compared with the ground truth measurements. The chl-a concetration map showed that the reservior Dajingshan was in eutrophic conditions and the water could not be used as drinking water.

Yujiu Xiong - One of the best experts on this subject based on the ideXlab platform.

  • Mapping of chlorophyll-a concentration of reservoir Dajingshan, Zhuhai, China, from LandSat thematic mapper
    2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
    Co-Authors: Yujiu Xiong, Xiaohong Chen
    Abstract:

    Chlorophyll a (Chl-a) is an indicator of water quality, especially of eutrophic state. Remote sensing has been used to mapping Chl-a in lake, large river, estuary and ocean, due to its andvantages such as to provide data logistically and economically. The aim of this paper was to use LandSat TM image and Suitable Algorithm to estimate and map Chl-a concentration in reservoir Dajingshan, an important source for drinking water supply in Zhuhai city, China. After comparing several simple linear regression Algorithms, a most Suitable Algorithm using brightness value of bands 1 to 4, was adopted. The results showed that the modeled chl-a concentration in November 23th, 2005 had reasonable accuracy, with a mean absolute error of 0.002 mg/L when compared with the ground truth measurements. The chl-a concetration map showed that the reservior Dajingshan was in eutrophic conditions and the water could not be used as drinking water.

  • IGARSS - Mapping of chlorophyll-a concentration of reservoir Dajingshan, Zhuhai, China, from LandSat thematic mapper
    2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
    Co-Authors: Yujiu Xiong, Xiaohong Chen
    Abstract:

    Chlorophyll a (Chl-a) is an indicator of water quality, especially of eutrophic state. Remote sensing has been used to mapping Chl-a in lake, large river, estuary and ocean, due to its advantages such as to provide data logistically and economically. The aim of this paper was to use LandSat TM image and Suitable Algorithm to estimate and map Chl-a concentration in reservoir Dajingshan, an important source for drinking water supply in Zhuhai city, China. After comparing several simple linear regression Algorithms, a most Suitable Algorithm using brightness value of bands 1 to 4, was adopted. The results showed that the modeled chl-a concentration in November 23th, 2005 had reasonable accuracy, with a mean absolute error of 0.002 mg/L when compared with the ground truth measurements. The chl-a concetration map showed that the reservior Dajingshan was in eutrophic conditions and the water could not be used as drinking water.

L. Verdoliva - One of the best experts on this subject based on the ideXlab platform.

  • Compression of SAR data through range focusing and variable-rate vector quantization
    IEEE Transactions on Geoscience and Remote Sensing, 2000
    Co-Authors: G. Poggi, A.r.p. Ragozini, L. Verdoliva
    Abstract:

    In spaceborne SAR systems, some form of data compression is required to reduce the bandwidth of the downlink channel. Compressing the raw data is very inefficient because such data exhibit little or no correlation. Data focusing would restore the original dependencies of the image, but it is too complex to be implemented onboard. In this paper we propose to carry out a partial, low-complexity focusing onboard, and then compress the resulting data by means of a Suitable Algorithm based on variable-rate adaptive vector quantization. Experiments show a performance improvement of 0.5-0.7 dB over compression techniques proposed in the literature.

M. Radimirsch - One of the best experts on this subject based on the ideXlab platform.