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Enhanced quantum resources via two distant atom-cavity systems under the influence of atomic dissipation

Communications in Theoretical Physics 2024年第2期76卷 62-73页

作者： M Setodeh Kheirabady M K Tavassoly M Rafeie E Ghasemian Laser and Optics Group Faculty of PhysicsYazd UniversityYazd 89195-741Iran Department of Electrical Engineering Faculty of Intelligent Systems Engineering and Data SciencePersian Gulf UniversityBushehrIran

Quantum resources such as entanglement and coherence are the holy grail for modern quantum technologies. Although the unwanted environmental effects tackle quantum information processing tasks, suprisingly these key quantum resources may be protected and even enhanced by the implementation of some special hybrid open quantum systems. Here, we aim to show how a dissipative atom-cavity-system can be accomplished to generate enhanced quantum *** do so, we consider a couple of dissipative cavities, where each one contains two effective two-level atoms interacting with a single-mode cavity field. In practical applications, a classical laser field may be applied to drive each atomic subsystem. After driving the system, a Bell-state measurement is performed on the output of the system to quantify the entanglement and coherence. The obtained results reveal that the remote entanglement and coherence between the atoms existing inside the two distant cavities are not only enhanced, but can be stabilized, even under the action of dissipation. In contrast, the local entanglement between two atoms inside each dissipative cavity attenuates due to the presence of unwanted environmental ***, the local coherence may show the same behavior as the remote ***, the system provides the steady state entanglement in various interaction regimes,particularly in the strong atom-cavity coupling and with relatively large detuning. More interestingly, our numerical analyses demonstrate that the system may show a memory effect due to the fact that the death and revival of the entanglement take place during the interaction. Our proposed model may find potential applications for the implementation of long distance quantum networks. In particular, it facilitates the distribution of quantum resources between the nodes of large-scale quantum networks for secure communication.

关键词： remote entanglement and coherence atomic dissipation steady state entanglement Bell-statemeasurement

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Design Automation for Microwave Branch-line Couplers Using Artificial Neural Networks with Self-Adaptive Differential Evolution Algorithm 6

Design Automation for Microwave Branch-line Couplers Using A...

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6th Australian Microwave Symposium, AMS 2025

作者： Chen, Tianqi Wu, Qiang Zhu, Xi University of Technology Sydney School of Electrical and Data Engineering Faculty of Engineering and IT Sydney Australia

ISBN: (纸本)9798350379969

The traditional method for designing branch-line couplers relies on a time-consuming labor-intensive trial-And-error process with multiple EM simulation iterations. This paper introduces a novel framework combining artificial neural networks with a self-Adaptive differential evolution algorithm (ANNs-SaDE) for automatic design. The effectiveness of this framework is demonstrated through the design of wideband three-stage couplers. © 2025 IEEE.

关键词： Artificial neural network branch-line coupler differential evolution algorithm

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Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1757-1776页

作者： Minfeng Qi Ziyuan Wang Qing-Long Han Jun Zhang Shiping Chen Yang Xiang School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyHawthorn3122VictoriaAustralia Faculty of Data Science City University of MacaoMacaoChina CSIRO Data61 SydneyNew South WalesAustralia

To enable precision medicine and remote patient monitoring,internet of healthcare things(IoHT)has gained significant interest as a promising *** the widespread use of IoHT,nonetheless,privacy infringements such as IoHT data leakage have raised serious public *** the other side,blockchain and distributed ledger technologies have demonstrated great potential for enhancing trustworthiness and privacy protection for IoHT *** this survey,a holistic review of existing blockchain-based IoHT systems is conducted to indicate the feasibility of combining blockchain and IoHT in privacy *** addition,various types of privacy challenges in IoHT are identified by examining general data protection regulation(GDPR).More importantly,an associated study of cutting-edge privacy-preserving techniques for the identified IoHT privacy challenges is ***,several challenges in four promising research areas for blockchain-based IoHT systems are pointed out,with the intent of motivating researchers working in these fields to develop possible solutions.

关键词： Blockchain internet of healthcare things(IoHT) privacy-preserving techniques(PPTs).

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TopicBubbler:An interactive visual analytics system for cross-level fine-grained exploration of social media data

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Visual Informatics 2023年第4期7卷 41-56页

作者： Jielin Feng Kehao Wu Siming Chen School of Data Science Fudan UniversityChina Faculty of Engineering The University of SydneyAustralia Shanghai Key Laboratory of Data Science China

How to explore fine-grained but meaningful information from the massive amount of social media data is critical but *** address this challenge,we propose the TopicBubbler,a visual analytics system that supports the cross-level fine-grained exploration of social media *** achieve the goal of cross-level fine-grained exploration,we propose a new *** the procedure of the workflow,we construct the fine-grained exploration view through the design of bubble-based word *** bubble contains two rings that can display information through different levels,and recommends six keywords computed by different *** view supports users collecting information at different levels and to perform fine-grained selection and exploration across different levels based on keyword *** enable the users to explore the temporal information and the hierarchical structure,we also construct the Temporal View and Hierarchical View,which satisfy users to view the cross-level dynamic trends and the overview hierarchical *** addition,we use the storyline metaphor to enable users to consolidate the fragmented information extracted across levels and topics and ultimately present it as a complete *** studies from real-world data confirm the capability of the TopicBubbler from different perspectives,including event mining across levels and topics,and fine-grained mining of specific topics to capture events hidden beneath the surface.

关键词： Cross level analysis Fine grained exploration Topic analysis Social media

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An Enhanced Clustering-Based (k, t)-Anonymity Algorithm for Graphs

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Chinese Journal of Electronics 2025年第1期34卷 365-372页

作者： Yuanyuan Wang Xing Zhang Zhiguang Chu Wei Shi Xiang Li School of Electronics and Information Engineering Liaoning University of Technology Key Laboratory of Security for Network and Data in Industrial Internet of Liaoning Province Faculty of Information Technology Beijing University of Technology

As people become increasingly reliant on the Internet, securely storing and publishing private data has become an important issue. In real life, the release of graph data can lead to privacy breaches, which is a highly challenging problem. Although current research has addressed the issue of identity disclosure, there are still two challenges: First, the privacy protection for large-scale datasets is not yet comprehensive; Second, it is difficult to simultaneously protect the privacy of nodes, edges, and attributes in social networks. To address these issues, this paper proposes a(k,t)-graph anonymity algorithm based on enhanced clustering. The algorithm uses k-means++ clustering for k-anonymity and t-closeness to improve k-anonymity. We evaluate the privacy and efficiency of this method on two datasets and achieved good results. This research is of great significance for addressing the problem of privacy breaches that may arise from the publication of graph data.

关键词： data privacy Uncertainty Social networking (online) Publishing Heuristic algorithms Scalability Clustering algorithms Privacy breach Internet Protection

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Comprehensive Security of SDN Controllers in NFVI-Based 5G Network 17

Comprehensive Security of SDN Controllers in NFVI-Based 5G N...

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17th International Conference on Security of Information and Networks, SIN 2024

作者： Khan, Asad Faraz Nanda, Priyadarsi School of Electrical and Data Engineering University of Technology Sydney Faculty of Engineering and It Sydney Australia

ISBN: (纸本)9798331509736

In the present world, Software-Defined Networks (SDN) is the developing technological environment that allows integrated control and splits the control plane from the data plane. It is essential to classify the attacks in SDN-based networks to improve security. Concomitantly, SDN-related networks are vulnerable to numerous attacks especially Distributed Denial of Service (DDoS) attacks which interrupt the data transmission and network data. To resolve this issue, various traditional researchers have attempted to attain attack detection, however, there is a lack in computational cost, accuracy rate, and Packet Delivery Ratio. To overcome the limitations, the proposed hybrid model employs a system creation model for encrypting data using ELGAMAL and ECC algorithms to strengthen data security. Furthermore, the present hybrid model incorporates the wrapper-based approach Sine Cosine hybrid optimization algorithm with Modified Particle Swarm Optimization (SCMPSO) for feature selection which is intended to improve the performance of the classification. Furthermore, it utilizes the XG Boost-Light Gradient-Boosting Machine (GBM) algorithm for attack classification. Accordingly, Extreme Gradient-Boosting (XG Boost) can handle the missing data, and the ensemble nature of XG Boost with multiple Decision trees (DT) combinations makes it challenging to finalize the prediction. To overcome the limitations of the XG Boost algorithm, the proposed model uses Light GBM. Correspondingly, the present method created a dataset using the Mininet tool. The efficacy of the proposed hybrid model is calculated with several evaluation metrics to analyze the performance. The proposed method is intended to contribute to SDN-based network development and is envisioned to contribute to attack detection mechanisms. © 2024 IEEE.

关键词： 5G mobile communication systems

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User acceptability of blockchain technology for enabling electronic health record exchange

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Journal of Systems and Information Technology 2023年第3期25卷 268-295页

作者： Baltruschat, Lilly Marie Jaiman, Vikas Urovi, Visara Faculty of Science and Engineering University College Maastricht Maastricht University Maastricht Netherlands Institute of Data Science Faculty of Science and Engineering Maastricht University Maastricht Netherlands

Purpose: Blockchain systems have been proposed as a solution for exchanging electronic health records (EHR) because they enable data sharing in decentralised networks. This paper aims to analyse the user acceptability of blockchain technology in enabling EHR exchange and to formulate practical implications for increasing user acceptability. Design/methodology/approach: A technology acceptance model [extended Unified Theory of Acceptance and Use of Technology (UTAUT) model] was used as a framework to measure the effects of 13 factors. The authors conducted a survey and analysed data from 214 participants using partial least square path modelling. Findings: The acceptance of blockchain for EHR sharing is positively influenced by performance expectancy, social influence and perceived trust. Effort expectancy and facilitating conditions do not influence acceptance. The UTAUT model explains the variance in acceptance at 58.4%. Self-efficacy influences effort expectancy, incentives influence facilitating conditions and security predicts perceived trust. Practical implications: Three implications are drawn: (1) Users need to clearly understand system’s purpose, functions, security mechanism and environmental impacts. (2) Users are incentivised to share health data via a blockchain solution if the technology offers personalising options and health information. (3) Health personnel can socially impact patients to use blockchain-based solutions. Originality/value: Studies have shown that blockchain technology is a valuable solution for exchanging EHR. The novelty of this work is to identify how and why patients may accept this emerging technology for EHR exchange. © 2023, Emerald Publishing Limited.

关键词： Electronic data interchange

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An Improved Binary Quantum-based Avian Navigation Optimizer Algorithm to Select Effective Feature Subset from Medical data:A COVID-19 Case Study

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Journal of Bionic engineering 2024年第1期21卷 426-446页

作者： Ali Fatahi Mohammad H.Nadimi-Shahraki Hoda Zamani Faculty of Computer Engineering Najafabad BranchIslamic Azad UniversityNajafabad ***Iran Big Data Research Center Najafabad BranchIslamic Azad UniversityNajafabad ***Iran

Feature Subset Selection(FSS)is an NP-hard problem to remove redundant and irrelevant features particularly from medical data,and it can be effectively addressed by metaheuristic ***,existing binary versions of metaheuristic algorithms have issues with convergence and lack an effective binarization method,resulting in suboptimal solutions that hinder diagnosis and prediction *** paper aims to propose an Improved Binary Quantum-based Avian Navigation Optimizer Algorithm(IBQANA)for FSS in medical data preprocessing to address the suboptimal solutions arising from binary versions of metaheuristic *** proposed IBQANA’s contributions include the Hybrid Binary Operator(HBO)and the Distance-based Binary Search Strategy(DBSS).HBO is designed to convert continuous values into binary solutions,even for values outside the[0,1]range,ensuring accurate binary *** the other hand,DBSS is a two-phase search strategy that enhances the performance of inferior search agents and accelerates *** combining exploration and exploitation phases based on an adaptive probability function,DBSS effectively avoids local *** effectiveness of applying HBO is compared with five transfer function families and thresholding on 12 medical datasets,with feature numbers ranging from 8 to 10,***'s effectiveness is evaluated regarding the accuracy,fitness,and selected features and compared with seven binary metaheuristic ***,IBQANA is utilized to detect *** results reveal that the proposed IBQANA outperforms all comparative algorithms on COVID-19 and 11 other medical *** proposed method presents a promising solution to the FSS problem in medical data preprocessing.

关键词： Feature subset selection Optimization Binary metaheuristic algorithms Bioinspired Machine learning Medical datasets

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A proposed PMU-based voltage stability and critical bus detection method using artificial neural network

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Energy Informatics 2024年第1期7卷 1页

作者： Putranto, Lesnanto Multa Azhar, Izzuddin Fathin Department of Electrical and Information Engineering Engineering Faculty Universitas Gadjah Mada Jl. Grafika No 2 Engineering Faculty Complex Yogyakarta55281 Indonesia Center for Data and Information Technology Secretariat General Ministry of Transportation Jakarta10110 Indonesia

Voltage stability detection is currently still becoming the main issue in the modern integrated renewable energy power systems. To assess the voltage stability, the classical methods based on continuation power flow (CPF) technique were used to show nose curve. However, the classical methods require complete model of power system and long computation time. data driven analysis and synchronized real time measurement technologies currently are developing in power systems monitoring, including the stability detection. The detection method is built based on the historical event model and uses the real time measurement as an input. For that reason, the algorithm to detect the voltage instability and critical bus is proposed using the artificial neural network (ANN) technique to represent the historical event model using the PMU measurement data. The ANN model architecture for this application is developed by creating seven hidden layers consisting of one normalization, four rectifier linear unit, one softmax and one sigmoid layer. To warrant the accuracy, the k-fold cross-validation is used. The algorithm is simulated on modified IEEE 14 test system which consider different loading scenario, line contingency, number of PMU and Photovoltaic (PV) integration. To mimic the actual historical data, the synthetic data is generated and labelled. The result shows that the proposed method can represent the complete power system model by giving high accuracy which for voltage stability detection is > 97% and critical buses detection is > 96% for all scenarios. Moreover, the required computation time is between 16 and 18 s per detection which makes the scalability to the real time detection is reasonable. © 2024, The Author(s).

关键词： Neural networks

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PROPOSAL OF OPTIMAL COOPERATIVE CONTROL METHOD FOR AIR CONDITIONING INDOOR UNITS USING SPARSENESS

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Journal of Environmental engineering (Japan) 2023年第807期88卷 447-453页

作者： Nishijima, Yuki Shiraishi, Yasuyuki Nagahara, Masaaki Obayashi Corporation Japan Faculty of Environmental Engineering Univ. of Kitakyushu Japan Faculty of Informatics and Data Science Hiroshima University Japan

The advantage of multi-split packaged air-conditioning system is high operational flexibility and energy efficiency. However, since adjacent indoor units affect each other, the control becomes complex and can cause the deterioration of indoor thermal environment and the increase of energy consumption. Therefore, we propose the cooperative control method that combines MIMO MPC and sparse modeling, here referred to as Sparse MPC, and to verify the proposed method. The results confirmed that Sparse MPC reduces the air conditioning operating time and the number of units in operation. This suggests that Sparse MPC may improve the energy efficiency of air conditioning systems. © 2023 Architectural Institute of Japan. All rights reserved.

关键词： Air conditioning

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