Among the evolution of the Internet of Multimedia Things (IoMT), ensuring multimedia privacy is a significant area of concern. This study focuses on IoMT -based multimedia privacy, due to its importance in today's...
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ISBN:
(数字)9798331510022
ISBN:
(纸本)9798331510039
Among the evolution of the Internet of Multimedia Things (IoMT), ensuring multimedia privacy is a significant area of concern. This study focuses on IoMT -based multimedia privacy, due to its importance in today's connected world. The data involved in multimedia applications of the IoMT are pictures, audio, and video, which are on the rise from healthcare to smart cities, necessitating its safety as a paramount issue. The research seeks to establish and analyze inherent vulnerabilities in the IoMT that lead to threats against multimedia privacy and ultimately develop an integrated system that will help protect and secure such information effectively. Drawing on the mixed methods design, this study uses a mixture of quantitative and qualitative analysis to explore the state of multimedia privacy within IoMT. Specifically, it entails the evaluation of security protocols currently in place, privacy-preserving algorithms, as well as legal and regulatory frameworks on multimedia data. Additionally, through case studies and expert interviews, this research delves into practical problems and solutions. Among the outcomes identified is the need for improved versions of privacy control models capable of reflecting different organizational environment features, the dynamic nature of threats, and untrusted insider action patterns associated with that. A number of steps are suggested by the research, such as the creation of advanced encryption algorithms, greater public consciousness, and regulatory policies. The goal of these recommendations is to create a safe multimedia space for IoMT where privacy is observed as an empowerment of users and stakeholders, not just for protection. The study findings are particularly meaningful in terms of multimedia privacy rhetoric with their strategic plan, which provides a logical pattern for stakeholders to navigate through the maze of IoMT issues while providing for multimedia data privacy and security.
Industry 4.0 has gained recent attention due to the dynamic nature of businesses. Implementation of technologies of industry 4.0 offers numerous benefits to the business, and the supply chain is no exception to it due...
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Industry 4.0 has gained recent attention due to the dynamic nature of businesses. Implementation of technologies of industry 4.0 offers numerous benefits to the business, and the supply chain is no exception to it due to the growing need to adopt new technologies, especially in MSMEs, as they face liquidity issues. This study is conducted to determine the adoption factors for supply chain finance in MSMEs, eventually enhancing supply chain effectiveness. This study has considered negotiation, collaboration, the external environment, digitizing trade, and the role of financial institutions. The study uses PLS Based Structural Equation Modelling to analyze the proposed conceptual model wherein the data was collected from various MSMEs in India. Results indicate that internal factors like negotiation, collaboration, and digitizing trade play an essential role in adopting supply chain effectiveness, and implementing supply chain finance leads to improved supply chain effectiveness.
A more recent development to assist in the clinical investigation of disease cycles is the fusion of statistical methods and information technology. The production of bile, the breakdown of fats, and the absorption of...
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The optimum EKHO-IMC-PID controller and reduction using EKHO (Enthalpy-based Krill Herd optimization) for LFC of large-scale power systems are developed in this research using the model approximation method. Aiming to...
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The optimum EKHO-IMC-PID controller and reduction using EKHO (Enthalpy-based Krill Herd optimization) for LFC of large-scale power systems are developed in this research using the model approximation method. Aiming to reduce the performance parameter known as Integral Square Error (ISE) between their step responses results in the creation of the ideal Reduced Order Model (ROM) for the understudied large-scale power system. A Lyapunov stability theory-created effective linear matrix inequality protects the integrity of entire power systems. Later, the LFC design is implemented rather than the high-scale power system module using an optimised ROM. The innovative EKHO -IMC- PID controller architecture improves power system performance by providing adequate reference input tracking performance, resilience in disturbance rejection, and better reference input tracking performance, the unique EKHO-IMC- PID controller architecture enhances the dynamic stability of the power system. The simulation findings unmistakably demonstrate a significant improvement in LFC responsiveness during load disturbances and uncertainty when compared to some other prior studies.
This work develops an optimal AGWO IMC PID controller and derating using AGWO (Adaptive Gray Wolf Optimization Algorithm) for load frequency control (LFC) of high-power systems using model approximation methods. An id...
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This work develops an optimal AGWO IMC PID controller and derating using AGWO (Adaptive Gray Wolf Optimization Algorithm) for load frequency control (LFC) of high-power systems using model approximation methods. An ideal low-dimensional model (ROM) of the studied large-scale energy system is identified by reducing the integral squared error (ISE) between step responses, a performance parameter used to quantify performance. Lyapunov stability theory produces strong linear matrix inequalities that guarantee the integrity of the entire energy system. Second, the LFC design is done using an optimized ROM rather than a high-power grid concept. AGWO’s new IMC-PID controller architecture improves power system dynamic stability by providing excellent reference input tracking performance, robust spurious rejection, and improved reference input tracking performance. In comparison to earlier studies, the simulation results clearly demonstrate a significant improvement in the LFC’s reaction to load disturbances and the existence of uncertainties.
A more recent development to assist in the clinical investigation of disease cycles is the fusion of statistical methods and information technology. The production of bile, the breakdown of fats, and the absorption of...
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A more recent development to assist in the clinical investigation of disease cycles is the fusion of statistical methods and information technology. The production of bile, the breakdown of fats, and the absorption of nutrients, polysaccharides, and minerals all depend on the liver, a crucial organ. Liver disease is difficult to diagnose and frequently treated by being discharged from the hospital because there are no noticeable side effects in the early stages. Regardless, this is not specifically positive and therefore the read of compound level is required to acknowledge and demand the closeness of disease. Here we will develop the model for correctly anticipate liver illness
Power system is broad, wide and complex area to do research therefore, for reducing complexity; there is an enormous possibility of simplification of large system in the field of science and technology. Hence, this pa...
Power system is broad, wide and complex area to do research therefore, for reducing complexity; there is an enormous possibility of simplification of large system in the field of science and technology. Hence, this paper presents a new vital advance methodology a mixed-demand reduction that uses logarithmic assembly technique and the second Cauer form to minimize the order of multivariate feed systems on a large scale power system. Model order reduction technique helps to reduce the large scale power system into an approximate small scale model without changing the inherent property of the actual system. A multi-boundary model of the low-order model is achieved by utilizing new methodology for the aggregation of the pound called the logarithmic mass of the poles, while the numeral coefficients are obtained in the second form of Cauer. The usefulness of the anticipated technique has been tested on two-area power system models.
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