Watermarking implementation on digital images and electronic signatures

Al-Rababah, Ahmad A.

doi:10.21833/ijaas.2017.010.022

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…The routing protocols in this group provide a path for every sensor node to take to reach the sink. Compared to other existing algorithms, this NPO-EER technique is superior [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40].…”

Section: Resultsmentioning

confidence: 99%

A novel nomadic people optimizer-based energy-efficient routing for WBAN

Dawod¹,

Hakim²,

Radhi³

et al. 2023

PEN

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In response to user demand for wearable devices, several WBAN deployments now call for effective communication processes for remote data monitoring in real time. Using sensor networks, intelligent wearable devices have exchanged data that has benefited in the evaluation of possible security hazards. If smart wearables in sensor networks use an excessive amount of power during data transmission, both network lifetime and data transmission performance may suffer. Despite the network's effective data transmission, smart wearable patches include data that has been combined from several sources utilizing common aggregators. Data analysis requires careful network lifespan control throughout the aggregation phase. By using the Nomadic People Optimizer-based Energy-Efficient Routing (NPO-EER) approach, which effectively allows smart wearable patches by minimizing data aggregation time and eliminating routing loops, the network lifetime has been preserved in this research. The obtained findings showed that the NPO method had a great solution. Estimated Aggregation time, Energy consumption, Delay, and throughput have all been shown to be accurate indicators of the system's performance.

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Section: Resultsmentioning

confidence: 99%

A novel nomadic people optimizer-based energy-efficient routing for WBAN

Dawod¹,

Hakim²,

Radhi³

et al. 2023

PEN

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“…problems [16,30,42], a fuzzy controller based on a neural network, a knowledge base of precedents for problems; development of a complex of algorithms: processing subscriber applications, finding solutions to subscribers' problems based on precedents and using a fuzzy neural network [3,18,34]; creation of a neural network expert system based on precedents for solving problems of subscribers of a cellular communication network; study of the effectiveness of the developed precedent based neural network expert system using the following groups of indicators: functional suitability, efficiency, reliability, cost-effectiveness of the system [2,8,39]; development and implementation in trial operation of the precedent based neural network expert system software [6,13] to solve the problems of cellular network subscribers.…”

mentioning

confidence: 99%

Problems Solving of Cell Subscribers based on Expert Systems Neural Networks

AlRababah¹

2019

IJACSA

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With the growing demand for telecommunications services, the number of calls to telecommunications companies related to issues of using services, setting up and maintaining equipment, as well as resolving possible problems arising in the process of using services is also growing. From the point of view of system analysis, the problem is the mismatch between the existing and the required (target) state of the system for a given state of the environment at the moment in time. Based on this definition, we consider the problem of the subscriber of the cellular network a mismatch between the existing and the required state of the cellular network in this state of the environment at the moment in time. The state of the cellular network is characterized by the functioning of all devices, the proposed range of services. A short time for analyzing problem situations and making decisions, a large amount of information characterizing the current situation, the difficulty of solving poorly formalized and poorly structured tasks in the absence of complete and reliable information about the state of the cellular communication network and the functioning of its elements lead to a mismatch of human capabilities to effectively solve these problems. In this regard, the development and implementation of a precedent based neural network expert system for solving the problems of subscribers of a cellular communication network is an urgent scientific and technical task.

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Watermarking implementation on digital images and electronic signatures

Cited by 2 publications

References 16 publications

A novel nomadic people optimizer-based energy-efficient routing for WBAN

A novel nomadic people optimizer-based energy-efficient routing for WBAN

Problems Solving of Cell Subscribers based on Expert Systems Neural Networks

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