Robust security is vital in cloud computing due to the proliferation of sensitive data. This paper presents an innovative quantum-based security framework to address emerging threats. Measurement-Device-Independent Qu...
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This paper presents a groundbreaking solution to minimize distribution network losses by optimizing D-STATCOM ( Distribution Static Compensator) device allocation. The proposed method uses Quantum Predator-Prey Brain ...
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ISBN:
(纸本)9798331531768;9798331531751
This paper presents a groundbreaking solution to minimize distribution network losses by optimizing D-STATCOM ( Distribution Static Compensator) device allocation. The proposed method uses Quantum Predator-Prey Brain Storm Optimization (QPPBSO), which integrates Predator-Prey and Quantum -computing superposition strategies to Brain Storm Optimization (BSO). The optimization problem is expressed as a mixed integer nonlinear programming (MINLP) problem, where the location and output variables of D-FACTS are optimized. With the rise of renewable energy, uncertainties in active distribution networks need to be considered in optimization problems. To address this issue, the proposed method employs Robust Optimization (RO), which ensures that the optimal allocation of D-STATCOM devices is robust to uncertainties. The simulation results indicate the effectiveness of the proposed method through testing it on the 69 -node distribution system.
We propose a data processing and computing system based on intelligent text monitoring using fragment analysis and weights. We describe a computation technique to account for functional tokens in materials under study...
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Neural Assembly computing (NAC) is a framework that employs spiking neural networks to model the computational processes of biological neural cell assemblies. In this paper, we propose a method to design state machine...
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ISBN:
(纸本)9798350387186;9798350387179
Neural Assembly computing (NAC) is a framework that employs spiking neural networks to model the computational processes of biological neural cell assemblies. In this paper, we propose a method to design state machines based on NAC, capable of generating complex and intelligent behaviors. This study, as an example, presents a simple algorithm for recognizing a sequence of distinct symbols (geometric shapes) by utilizing four states that mirror the activity of neural assemblies. Through simulation outcomes, we demonstrate that NAC provides a biologically realistic and efficient strategy for implementing state machines and algorithms.
In this work we analyze the problem of computing the regions of attraction of a well-acknowledged model in the framework of diabetes modeling and control, the model by Topp et al. Despite the importance of this pionee...
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ISBN:
(纸本)9798350358513;9798350358520
In this work we analyze the problem of computing the regions of attraction of a well-acknowledged model in the framework of diabetes modeling and control, the model by Topp et al. Despite the importance of this pioneering model in the literature of mathematical models of diabetes progression, to the best of our knowledge a clear representation of the regions of attraction of specific target sets under suitable conditions appears to be lacking. We address this problem by means of a method employing moment-sum-of-squares (moment-SOS) hierarchy that we exploit to assess the validity of a general computation of the regions of attraction performed through a Monte Carlo simulation. Addressing the problem of the knowledge of certain region of attraction, this work paves the way to future research aimed at exploiting a polynomial version of diabetes progression models to leverage optimal control problem design via occupation measures and momentSOS hierarchy.
This article explores the use of intelligent algorithms to enhance the efficiency and quality of intelligent design for aging-friendly environments. For the spatial layout optimization problem, a review of algorithms ...
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作者：
Pike, X.Cheer, J.ISVR
University of Southampton University Road Highfield SouthamptonSO17 1BJ United Kingdom
In recent decades, advances in digital technologies have allowed for the development of increasingly complex active control solutions for both noise and vibration, which have been utilised in a wide range of applicati...
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The dispersion of resource authorization across various authorization systems raises the complexity and inconsistency of authorization management. Therefore, the pursuit of a unified resource authorization management ...
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ISBN:
(纸本)9798350381993;9798350382006
The dispersion of resource authorization across various authorization systems raises the complexity and inconsistency of authorization management. Therefore, the pursuit of a unified resource authorization management system is necessary. Most widely used authorization systems are based on centralized services with a single delegation pattern. These authorization systems can be easily compromised, leading to permissions tampering, and are unsuitable for complex usage scenarios. We propose a decentralized authorization system that provides flexible delegation called FlexAuth. We first define a decentralized data storage layer based on blockchain, using smart contracts to implement data writing and resolving, preventing data from being tampered with. On top of this, we implement active and passive delegation patterns of authorization services. We allow users to delegate permissions actively. Also, FlexAuth enables them to respond to authorization requests passively by making flexible and expressive access control policies based on relationships and attributes, using the proposed Hybrid Access control Model (HACM). Furthermore, all delegations in FlexAuth are transitive. Finally, through analysis and experiments, we validate the usability and efficiency of FlexAuth. To our knowledge, FlexAuth is the first decentralized authorization system with transitive delegation in active and passive patterns, achieving flexible delegation.
With the advent of the information age, the frequency of meetings in the railway industry, including video phone conferences, special office meetings, and report presentations, has reached thousands of times, which im...
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The past wireless communication systems were designed taking the channel as an uncontrollable element and optimizing the system around this element. However, recently Reconfigurable intelligent Surfaces (RISs) have ga...
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ISBN:
(纸本)9798350333398
The past wireless communication systems were designed taking the channel as an uncontrollable element and optimizing the system around this element. However, recently Reconfigurable intelligent Surfaces (RISs) have gained a significant interest as a way to control the wireless propagation environment and improve the communication system performances. However, to achieve optimal performances, a continuous-phase RIS is required. But, the practical realization of RISs makes it very difficult to obtain a RIS with more than few phase states. Therefore, the required RIS phase must be quantized to these available states. In this paper, we investigate the effect of RIS phase quantization on the wireless system performances in terms of RIS beamforming capabilities, received signal level, and channel estimation accuracy compared to a continuous-phase RIS. We demonstrate that starting from 2-bit quantization very good performances can be achieved.
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