Truth selection for truth discovery models exploiting ordering relationship among values

Beretta, Valentina; Harispe, Sébastien; Ranwez, Sylvie; Mougenot, Isabelle

doi:10.1016/j.knosys.2018.06.023

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…The more frequent the gene exchange, the higher the genetic similarity among species. [10]; The existence of hybrids in wild environment and different types of variation within species makes the classification and identification based on morphology complicated [20]. The pod shape of some wild apples is a transitional type between two or more apples, or it is inclined to one kind, such as Malus Mill plant group, which makes it difficult to classify and identify species, so it is necessary to classify and identify species by molecular markers.…”

Section: Computational and Mathematical Methods In Medicinementioning

confidence: 99%

“…The evaluation of genetic diversity of plant natural populations and artificially cultivated strains is the basis of effective protection, development and utilization of germplasm resources. Literature [20] 100 pairs of SSR primers were developed and designed from EST database of citrus to detect the genetic diversity and heterozygosity of two different citrus genera, Citrus sinensis(L.)Osbesk and Poncirus trifoliate(L.)Raf. Literature [21] Sixteen pairs of SSR primers were selected and designed from EST of grape to detect the genetic diversity of seven grape varieties, among which 10 pairs of primers could amplify polymorphic bands in these tested materials.…”

Section: Related Workmentioning

confidence: 99%

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Genetic Relationship and Evolution Analysis among Malus Mill Plant Populations Based on SCoT Molecular Markers

Yao

2022

Computational and Mathematical Methods in Medicine

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Malus Mill genotype is highly heterozygous, and many theoretical problems such as genetic relationship and evolution process among germplasm are difficult to be solved by traditional analysis methods. The development of SCoT(start codon targeted polymorphism) molecular markers suitable for apples is of great significance for studying the origin, evolution, genetic relationship and genetic diversity of Malus Mill germplasm resources. In this paper, the genetic relationship and evolution of 15 materials were analyzed by SCoT molecular marker. The results showed that the gene differentiation coefficient values of four Malus Mill plants at the species level were 0.423, 0.439, 0.428 and 0.460, respectively, which indicated that there was obvious genetic differentiation among the populations of these four Malus Mill plants, but there were some differences among the populations of different Malus Mill plants. The gene differentiation coefficient of coextensive populations with different geographical distribution varied from 0.177 to 0.086 (average 0.138), which indicated that the genetic similarity of species in coextensive composite populations was high and there was a close genetic relationship among species. This indicates that SCoT molecular markers can be effectively used in the analysis of intraspecific genetic relationship and identification of intraspecific strains of Malus Mill plants.

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Section: Computational and Mathematical Methods In Medicinementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Genetic Relationship and Evolution Analysis among Malus Mill Plant Populations Based on SCoT Molecular Markers

Yao

2022

Computational and Mathematical Methods in Medicine

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“…Creating a trust network and disseminating code through trusted code mules is a well-studied method for ensuring code integrity, but it is a difficult task [18], [19]. Code integrity can be ensured, in particular, by disseminating code through credible code mules.…”

Section: A Motivation and Challengesmentioning

confidence: 99%

An Efficient and Dependable UAV-Assisted Code Dissemination in 5G-Enabled Industrial IoT

Sharma,

Villányi

2024

IEEE Open J. Commun. Soc.

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The Industrial Internet of Things (IIoT) has infiltrated our culture and is gaining traction in a variety of industrial applications. All of this is made possible by the use of 5G-connected massive Intelligent Sensing Devices (ISDs) and software-defined technology. It is sometimes desirable, and even required, to upgrade these ISDs without replacing hardware to make them smarter by adding new features and/or removing bugs through code dissemination. Using moving vehicles of the 5G-enabled Internet of Vehicles (IoV) infrastructure is one possible and efficient way to disseminate code. Specifically, safe code dissemination through a large number of vehicles in a 5G network has emerged as a critical issue. The motivation stems from the limitations of existing methods, often centralized and vulnerable to compromise, particularly in semi-connected networks. Therefore, this paper proposes an efficient and reliable Unmanned Aerial Vehicle (UAV)-assisted digital signature-based safe code dissemination framework for a 5G-enabled IIoT system. Our decentralized approach, which uses digital signatures and a Subjective Logic model, not only ensures code integrity but also identifies credible code mules, avoiding the pitfalls of traditional trust evaluation schemes. Furthermore, for UAV trajectory optimization, we redesign the trajectory with virtual waypoints to shorten the trajectory path for upgrading ISDs that were not upgraded due to the long-time trailing phenomenon. Our approach is useful in scenarios such as smart cities, where ISDs lack communication facilities. Through extensive experiments, our framework demonstrates superior efficiency and reliability compared to state-of-the-art methods.

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Introduction

Ye,

Wang,

Dai

2022

Knowledge Discovery From Multi-Sourced Data

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Truth selection for truth discovery models exploiting ordering relationship among values

Cited by 8 publications

References 34 publications

Genetic Relationship and Evolution Analysis among Malus Mill Plant Populations Based on SCoT Molecular Markers

Genetic Relationship and Evolution Analysis among Malus Mill Plant Populations Based on SCoT Molecular Markers

An Efficient and Dependable UAV-Assisted Code Dissemination in 5G-Enabled Industrial IoT

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