Target detection in a known number of intervals based on cooperative search technique.
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| Title: | Target detection in a known number of intervals based on cooperative search technique. |
|---|---|
| Authors: | Fakharany, M.1,2 (AUTHOR), Alamri, Faten S.3 (AUTHOR), El-Hadidy, Mohamed Abd Allah1,2 (AUTHOR) melhadidi@science.tanta.edu.eg |
| Source: | International Journal of Modelling & Simulation. Jun2026, Vol. 46 Issue 3, p859-874. 16p. |
| Subjects: | Distribution (Probability theory), Newton-Raphson method, Searching behavior, Signal detection |
| Abstract: | Finding hidden/lost targets in a broad region costs strenuous effort and takes a long time. From a practical view, it is convenient to analyze the available data to exclude some parts of the search region. This paper discusses the coordinated search technique of a one-dimensional problem with a search region consisting of several mutual intervals. In other words, if the lost target has a probability of existing in a bounded interval, then the successive bounded interval has a far-fetched probability. Moreover, the search domain is swept by two searchers moving in opposite directions, leading to three categories of target distribution truncations: commensurate, uneven, and symmetric. The truncated probability distributions are defined and applied based on the proposed classification to calculate the expected value of the elapsed time to find the hidden object. Furthermore, the optimization of the associated expected time values of various cases is investigated based on Newton's method. Several examples are presented to discuss the behavior of various distributions under each case of truncation. Also, the associated expected time values are calculated as their minimum values. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Modelling & Simulation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194222421 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Target detection in a known number of intervals based on cooperative search technique. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fakharany%2C+M%2E%22">Fakharany, M.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alamri%2C+Faten+S%2E%22">Alamri, Faten S.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22El-Hadidy%2C+Mohamed+Abd+Allah%22">El-Hadidy, Mohamed Abd Allah</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> melhadidi@science.tanta.edu.eg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Modelling+%26+Simulation%22">International Journal of Modelling & Simulation</searchLink>. Jun2026, Vol. 46 Issue 3, p859-874. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Distribution+%28Probability+theory%29%22">Distribution (Probability theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Newton-Raphson+method%22">Newton-Raphson method</searchLink><br /><searchLink fieldCode="DE" term="%22Searching+behavior%22">Searching behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+detection%22">Signal detection</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Finding hidden/lost targets in a broad region costs strenuous effort and takes a long time. From a practical view, it is convenient to analyze the available data to exclude some parts of the search region. This paper discusses the coordinated search technique of a one-dimensional problem with a search region consisting of several mutual intervals. In other words, if the lost target has a probability of existing in a bounded interval, then the successive bounded interval has a far-fetched probability. Moreover, the search domain is swept by two searchers moving in opposite directions, leading to three categories of target distribution truncations: commensurate, uneven, and symmetric. The truncated probability distributions are defined and applied based on the proposed classification to calculate the expected value of the elapsed time to find the hidden object. Furthermore, the optimization of the associated expected time values of various cases is investigated based on Newton's method. Several examples are presented to discuss the behavior of various distributions under each case of truncation. Also, the associated expected time values are calculated as their minimum values. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Modelling & Simulation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194222421 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/02286203.2024.2369775 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 859 Subjects: – SubjectFull: Distribution (Probability theory) Type: general – SubjectFull: Newton-Raphson method Type: general – SubjectFull: Searching behavior Type: general – SubjectFull: Signal detection Type: general Titles: – TitleFull: Target detection in a known number of intervals based on cooperative search technique. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fakharany, M. – PersonEntity: Name: NameFull: Alamri, Faten S. – PersonEntity: Name: NameFull: El-Hadidy, Mohamed Abd Allah IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 02286203 Numbering: – Type: volume Value: 46 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Modelling & Simulation Type: main |
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