CSonNet: An Agent-Based Modeling Software System for Discrete Time Simulation

Priest, Joshua; Kishore, Aparna; Machi, Lucas; Kuhlman, Chris J.; Machi, Dustin; Ravi, S. S.

doi:10.1109/wsc52266.2021.9715287

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…− Standard deviation: that consider the square root of vaiance. It defines the image contrast as (5):…”

Section: Methodsmentioning

confidence: 99%

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Improve steganography system using agents software based on statistical and classification technique

Halboos¹,

Al-Bakry²

2023

Bulletin EEI

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In digital communications, information security is a paramount necessity. In the hiding algorithm, there are three basic parameters: security, capacity, and imperceptibility. Therefore, there are many ways to design the steganography algorithm, such as least significant bit (LSB), discrete wave transformation (DWT), and discrete cosine transform (DCT). The aim of this paper is to improve agent software design based on a steganography system. It proposed an agent system based on a support vector machine (SVM) classifier to hide a secret message in a certain cover image. The common dataset for steganography uses 80% training and 20% testing to get accurate results. Developing an agent system depends on six statistical parameters such as energy, standard deviation, histogram, variance, mean, and entropy. This resulted in features classified by the SVM classifier to predict the best cover image to be nominated for embedding. Worthy results were obtained in terms of imperceptibility, attack, and cover image prediction by statistical issues.

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“…− Standard deviation: that consider the square root of vaiance. It defines the image contrast as (5):…”

Section: Methodsmentioning

confidence: 99%

“…The test is done by sending messages and tracing their trail, not through calling. Because the work of software is parallel, the tracking is not easy [5]. The agents correct the work automatically with the help of nearby areas and their work as a unit.…”

Section: Introductionmentioning

confidence: 99%

Improve steganography system using agents software based on statistical and classification technique

Halboos¹,

Al-Bakry²

2023

Bulletin EEI

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“…In order to simulate the model, we used an agent-based simulation approach [26,27,28]. The plants in the population interacts in rounds t ∈ [1, .…”

Section: Computer Simulationmentioning

confidence: 99%

Cost-optimal Seeding Strategy During a Botanical Pandemic in Domesticated Fields

Lazebnik¹

2023

Preprint

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Context: Botanical pandemics cause enormous economic damage and food shortage around the globe. However, since botanical pandemics are here to stay in the short-medium term, domesticated field owners can strategically seed their fields to optimize each session's economic profit.Objective: Given the pathogen's epidemiological properties, we aim to find an economically optimal grid-based seeding strategy for field owners and policymakers. Methods:We propose a novel epidemiological-economic mathematical model that describes the economic profit from a field of plants during a botanical pandemic. We describe the epidemiological dynamics using a spatiotemporal extended Susceptible-Infected-Recovered epidemiological model with a non-linear output epidemiological model. Results and Conclusions:We provide an algorithm to obtain an optimal grid-formed seeding strategy to maximize economic profit, given field and pathogen properties. In addition, we implement the proposed model in realistic settings, analyzing the sensitivity of the economic profit as a function of several epidemiological and economic properties. We show that the recovery and basic infection rates have a similar economic influence. Unintuitively, we show that in the context of a botanic pandemic, a larger farm does not promise higher economic profit.Significance: Our results demonstrate a significant benefit of using the proposed seeding strategy and shed more light on the dynamics of the botanical pandemic in domesticated fields.

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