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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
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Application of Nonlinear Inequalities01:29

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A nonlinear inequality describes a comparison involving an expression that curves or behaves more complexly than a straight line. These inequalities often appear in forms that include squares, products, or variables in the denominator.To solve such an inequality, one starts by rewriting it so that zero appears on one side. For example, the inequality:  can be factored as: This form makes it easier to identify the values that cause the expression to equal zero. In this case, the...
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MoC-TSCH: multi-objective MILP-based TSCH mobility optimization for network coverage and connectivity in IIoT

Adugna Necho Mulatu1,2, Marco Zennaro3, Fikreselam Gared4

  • 1Faculty of Electrical and Computer Engineering (FECE), Bahir Dar Institute of Technology (BiT), Bahir Dar University (BDU), Bahir Dar, Ethiopia. adugna.necho@bdu.edu.et.

Scientific Reports
|March 27, 2026
PubMed
Summary

No abstract available in PubMed .

Keywords:
IIoTMoC-TSCHNode mobilityOptimizationSchedulingTSCH

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