Temat: Probability Assignment - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: An Application of Mathematical Theory of Evidence in Navigation
Autorzy:: Filipowicz, W.
Powiązania:: https://bibliotekanauki.pl/articles/116718.pdf
Data publikacji:: 2009
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: mathematical theory of evidence (MTE)
MTE in Navigation
marine navigation
Dempster-Shafer theory
Probability Assignment
Fuzzy Values
Uncertainty
Belief Structures
Opis:: Plenty of various quality data are available to the officer of watch. The data of various qualities comes from different navigational aids. This kind of data creates new challenge regarding information association. The challenge is met by Mathematical Theory of Evidence. The theory delivers methods enabling combination of various sources of data. Results of association have informative context increased. Associated data enable the navigator to refine his position and his status regarding dangerous places. The procedure involves uncertainty, ambiguity and vague evidence. Imprecise and incomplete evidence can be combined using extended Dempster-Shafer reasoning scheme.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2009, 3, 4; 423-430
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Optimal Spectrum Sensor Assignment in Multi-channel Multi-user Cognitive Radio Networks
Autorzy:: Nandini, K. S.
Hariprasad, S. A.
Powiązania:: https://bibliotekanauki.pl/articles/308326.pdf
Data publikacji:: 2018
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: channel accessibility matrix
cognitive radio networks
optimal assignment
probability of interference
secondary users
spectrum sensing
Opis:: Accurate detection of spectrum holes is the most important and critical task in any cognitive radio (CR) communication system. When a single spectrum sensor is assigned to detect a speciﬁc primary channel, then the detection may be unreliable because of noise, random multipath fading and shadowing. Also, even when the primary channel is invisible at the CR transmitter, it may be visible at the CR receiver (the hidden primary channel problem). With a single sensor per channel, a high and consistently uniform level of sensitivity is required for reliable detection. These problems are solved by deploying multiple heterogeneous sensors at distributed locations. The proposed spectrum hole detection method uses cooperative sensing, where the challenge is to properly assign sensors to different primary channels in order to achieve the best reliability, a minimum error rate and high efficiency. Existing methods use particle swarm optimization, the ant colony system, the binary ﬁreﬂy algorithm, genetic algorithms and non-linear mixed integer programming. These methods are complex and require substantial pre-processing. The aim of this paper is to provide a simpler solution by using simpler binary integer programming for optimal assignment. Optimal assignment minimizes the probability of interference which is a non-linear function of decision variables. We present an approach used to linearize the objective function. Since multiple spectrum sensors are used, the optimal constrained assignment minimizes the maximum of interferences. While performing the optimization, the proposed method also takes care of the topological layout concerned with channel accessibility. The proposed algorithm is easily scalable and ﬂexible enough to adapt to different practical scenarios.
Źródło:: Journal of Telecommunications and Information Technology; 2018, 4; 88-96
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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