Fundamental optimization methods for machine learning

Dwivedi, Ranjana; Srivastava, Vinay Kumar

doi:10.1016/b978-0-323-91776-6.00005-1

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Following this sequence of statements, we can conclude that the function ϕ → s is also a monotonic function of its argument. If function (6) is formed by the difference between two identical (monotone) functions, then classical optimization and mathematical programming methods [26,27] can be used to find its extremum. For this, it is enough to introduce the variable ϕ ∈ [− exp(Φ max ), − exp(Φ min )] and take this circumstance into account by formulating the objective function based on (6):…”

Section: The Markov Concept Of the Energy Efficiency Assessment Of Th...mentioning

confidence: 99%

“…We formalize the process of static solution of the problem of maximizing energy consumption for useful information transfer in the Wi-Fi 6/6E ecosystem with an active MU-MIMO system and OFDMA technology. Let us present the solution of such an optimization problem with the objective function (9) and constraints (5) based on the branch-and-bound hierarchy [26]. With this approach, the original optimization problem is represented by a tree of subproblems, each of which describes a rectangular fragment with an upper face The information technology for obtaining the optimal solution for the objective function (9) will consist of a hierarchical sequence of the following stages:…”

Section: The Markov Concept Of the Energy Efficiency Assessment Of Th...mentioning

confidence: 99%

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Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

Kovtun,

Altameem,

Al-Maitah

et al. 2023

Electronics

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In Wi-Fi standards, a relatively narrow range of frequency spectrums is declared as working, on the operation of which additional restrictions are imposed in different countries. When creating dense wireless network ecosystems focused on massive information traffic, this circumstance causes significant interference even in the case of using Wi-Fi 6/6E-compatible equipment. An effective solution to this problem is the implementation of a centralized management mechanism for the relevant parameters of the target network ecosystem. The growing attention to ecology and rational use of electricity makes the problem of maximizing energy consumption for useful information traffic in a dense Wi-Fi 6/6E ecosystem an urgent task. Only the addressed information traffic between the transmitter and the target subscriber, which are subjects of the OFDMA technology and the MU-MIMO multiple access system (with an emphasis on the latter), is considered useful. To solve the problem, the authors formalized the Wi-Fi 6/6E ecosystem’s energy consumption model, which takes into account the specifics of OFDMA and MU-MIMO, the influence of the communication channel characteristics on the speed of target information transfer, and detailed energy consumption for maintaining the network infrastructure in a functional state. Based on the created model, the research problem is represented by the difference between two monotonic functions, relative to which the problem of optimization with restrictions is set. The process of solving this problem is presented in the form of information technology with a branch-and-bound hierarchy and a nested unconditional optimization problem. The results of simulated modelling in the MATLAB-NS3 environment showed a significant advantage of the authors’ approach. The energy power consumption by the Wi-Fi 6/6E ecosystem, the parameters of which were adjusted with the help of the authors’ information technology, decreased by more than four times.

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Section: The Markov Concept Of the Energy Efficiency Assessment Of Th...mentioning

confidence: 99%

Section: The Markov Concept Of the Energy Efficiency Assessment Of Th...mentioning

confidence: 99%

Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

Kovtun,

Altameem,

Al-Maitah

et al. 2023

Electronics

View full text Add to dashboard Cite

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An Optimized Dual Image Watermarking Scheme based on Redundant DWT and Randomized SVD with Henon Mapping Encryption

Dwivedi,

Awasthi,

Srivastava

2023

Circuits Syst Signal Process

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WSOMedMark: Robust and optimized dual image watermarking using RDWT and its authentication using BRISK and MSER features for smart healthcare system

Dwivedi,

Awasthi,

Srivastava

2024

Multimed Tools Appl

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Fundamental optimization methods for machine learning

Cited by 4 publications

References 16 publications

Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

Information Technology for Maximizing Energy Consumption for Useful Information Traffic in a Dense Wi-Fi 6/6E Ecosystem

An Optimized Dual Image Watermarking Scheme based on Redundant DWT and Randomized SVD with Henon Mapping Encryption

WSOMedMark: Robust and optimized dual image watermarking using RDWT and its authentication using BRISK and MSER features for smart healthcare system

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