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2022 International Symposium on Power Electronics, electrical Drives, Automation and Motion, SPEEDAM 2022

作者： Kilicoglu, Halise Arya, Harshita Das, Moumita Tricoli, Pietro The University of Birmingham Dept. of Electronic Electrical & Computer Engineering Birmingham United Kingdom School of Computing and Electrical Engineering Indian Institute of Technology Himachal Pradesh Mandi India

ISBN: (数字)9781665484596

ISBN: (纸本)9781665484596

This paper proposes a new rapid charging point for electric vehicles with modular push-pull converters (MPC) suitable to provide high power to the battery and intended for the connection to a medium voltage power supply, thanks to its capabilities of reducing the output voltage levels. The converter provides current and voltage regulation for the battery, depending on the state of charge, and high quality of the grid current. The operating principle of the proposed converter is discussed in this paper and validated by simulation results. The opportunities for charging at high C rates are also evaluated. The paper finally reports a comparison of the power loss between the MPC and a traditional 2-level H-bridge converter. © 2022 IEEE.

关键词： Charging (batteries)

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Entanglement-Assisted Covert Communication via Qubit Depolarizing Channels

Entanglement-Assisted Covert Communication via Qubit Depolar...

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IEEE International Symposium on Information Theory

作者： Elyakim Zlotnick Boulat Bash Uzi Pereg Electrical and Computer Engineering and Hellen-Diller Quantum Center Technion – Israel Institute of Technology Electrical and Computer Engineering University of Arizona

We consider entanglement-assisted communication over the qubit depolarizing channel under the security requirement of covert communication, where not only the information is kept secret, but the transmission itself must be concealed from detection by an adversary. Previous work showed that $O(\sqrt n )$ information bits can be reliably and covertly transmitted in n channel uses without entanglement assistance. However, Gagatsos et al. (2020) showed that entanglement assistance can increase this scaling to $O(\sqrt n \log n)$ for continuous-variable bosonic channels. Here, we present a finite-dimensional parallel, and show that $O(\sqrt n \log n)$ covert bits can be transmitted reliably over n uses of a qubit depolarizing channel.

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Survey of Covid Vaccine Hesitancy 15

Survey of Covid Vaccine Hesitancy

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15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Tripathi, Kirti Carter, Vivian Fergerson, An'Darius Prakash, Duraisamy Dutt, Varun Lloyd Institute of Engineering and Technology Electronics and Communication Engineering Uttar Pradesh India Tuskegee University Department of Psychology & Sociology AL United States University of Wisconsin-Green Bay Department of Computer Science WI United States Indian Institute of Technology Mandi School of Computing and Electrical Engineering Himachal Pradesh India

ISBN: (纸本)9798350370249

Vaccination serves as vital for strengthening immunity to illnesses and diseases that occurred amid the COVID-19 pandemic. There is a significant reluctance on the part of the general public as well as medical professionals to get vaccinated despite the affordability and availability of numerous licensed vaccines. This reluctance mainly causes worries about possible problems and negative effects. The keyword 'Vaccine hesitancy during COVID-19' was the primary search keyword on the Google Scholar platform. Seventeen studies that were published recently on the COVID19 pandemic that reported vaccine reluctance were found via our search, and these have been included in this review. During this survey, we found that the acceptance or rejection of vaccines was influenced by several criteria, such as income, education, gender, age, politics, religion, work position, and ethnicity. The vaccine was frequently refused for several reasons, which involve a general dislike of vaccinations, safety concerns or the belief that a rapidly developed vaccine may be too risky, the belief that immunity already exists or that the vaccine is unnecessary because COVID-19 is relatively harmless, a general lack of trust, doubts about the vaccine's efficacy, and distrust about the vaccine's origin. This review emphasizes the factors influencing COVID-19 vaccine acceptance and participation in clinical trials globally. It also presents strategies to enhance attitudes toward vaccination drives in the future. Additionally, governments and health authorities need to improve communication efforts and build public confidence. © 2024 IEEE.

关键词： Covid-19 Ethnicity Healthcare Vaccine Acceptance Vaccine Hesitancy

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Voltage-Controlled Synthesis of Higher Harmonics in Hybrid Josephson Junction Circuits

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Physical Review Letters 2024年第18期133卷 186303页

作者： L. Banszerus W. Marshall C. W. Andersson T. Lindemann M. J. Manfra C. M. Marcus S. Vaitiekėnas Center for Quantum Devices Niels Bohr Institute Department of Physics Department of Physics and Astronomy Birck Nanotechnology Center School of Electrical and Computer Engineering School of Materials Engineering Materials Science and Engineering

We report measurements of the current-phase relation of two voltage-controlled semiconductor-superconductor hybrid Josephson junctions (JJs) in series. The two hybrid junctions behave similar to a single-mode JJ with effective transparency determined by the ratio of Josephson coupling strengths of the two junctions. Gate-voltage control of Josephson coupling (measured from switching currents) allows tuning of the harmonic content from sinusoidal, for asymmetric tuning, to highly nonsinusoidal, for symmetric tuning. The experimentally observed tunable harmonic content agrees with a model based on two conventional (sinusoidal) JJs in series.

关键词： Critical current Josephson effect Josephson junctions Semiconductors Superconducting devices Superconductors Resistivity measurements

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Super-exponential quantum advantage for finding the center of a sphere

arXiv

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arXiv 2024年

作者： Li, Guanzhong Li, Lvzhou Institute of Quantum Computing and Software School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China

This article considers the geometric problem of finding the center of a sphere in vector space over finite fields, given samples of random points on the sphere. We propose a quantum algorithm based on continuous-time quantum walks that needs only a constant number of samples to find the center. We also prove that any classical algorithm for the same task requires approximately as many samples as the dimension of the vector space, by a reduction to an old and basic algebraic result—Warning’s second theorem. Thus, a super-exponential quantum advantage is revealed for the first time for a natural and intuitive geometric problem. © 2024, CC BY.

关键词： Spheres

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Real-Time Text Classification Algorithm Based On Combined Machine Learning Models 2

Real-Time Text Classification Algorithm Based On Combined Ma...

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2nd IEEE Global Conference on Communications and Information Technologies, GCCIT 2024

作者： Ravivarman, G. Mahajan, Sulabh Sowmiya, S. Goyal, Shitij Gupta, Rahul Wanjale, Kirti H. Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore641021 India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Chennai127 India Quantum University Research Center Quantum University Uttarakhand Roorkee247667 India School of Mangement - Pg Management Karnataka Bangalore India Vishwakarma Institute of Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350388916

Web text categorization is a prominent area of research and a vital technology in the fields of Web information retrieval and data mining. A great deal of attention and quick progress in this field has occurred in recent years. One sort of deep learning model that has been more useful for extracting important characteristics from textual input while reducing model complexity is the convolutional neural network (CNN). In the meanwhile, a time-tested machine learning method known as support vector machine (SVM) has a stellar reputation for reliability and accuracy. By merging an improved CNN with SVM, this research suggests a new method for Web text categorization. Text characteristics are extracted using the CNN model, which has a five-layer network structure. These features are then used for classification as well as forecasting using SVM. This method presents a new approach to Web text categorization using enhanced models by combining the capabilities of convolutional neural networks (CNNs) and support vector machines (SVMs). Applying this method to datasets with mixed text yields outstanding results, all things considered. © 2024 IEEE.

关键词： Adversarial machine learning

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Enhanced quantum Convolutional Neural Network for Signature Authentication in Consumer Products

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IEEE Transactions on Consumer Electronics 2024年第1期71卷 2309-2321页

作者： Raghupathy, Bala Krishnan Vairavasundaram, Subramaniyaswamy Ganesan, Manikandan Namachivayam, Rajesh Kumar Kotecha, Ketan Herencsar, Norbert SASTRA Deemed University Department of CSE India Vellore Institute of Technology School of Computer Science and Engineering Vellore632 014 India SASTRA Deemed University School of Computing India Symbiosis Centre for Applied Artificial Intelligence Pune India Brno University of Technology Faculty of Electrical Engineering and Communication Department of Telecommunications Technicka 3082/12 Brno61600 Czech Republic

Product tracking applications utilize the Internet of Things and cyber-physical systems to identify permitted or unauthorized user intrusions into the system. Classical machine learning algorithms cannot detect every risk in an environment that evolves constantly and where new abnormalities are visible. This article investigates the potential of quantum machine learning (QML) for real-time product purchase monitoring and intrusion detection using an enhanced quantum convolutional neural network (EQCNN) with signature-based detection over a massive volume of search space data (qubits). We suggest a three-stage technique to effectively handle the sensitive content: Pre-processing, EQCNN-based feature extraction, and syntactic pattern recognition. Signature-based identification is a feature of the EQCNN architecture that helps detect particular patterns linked to goods purchases or invasions. The model can minimize product tracking mistakes by utilizing the QML-based EQCNN with signature-based detection, resulting in a more efficient supply chain. © 2024 IEEE.

关键词： Convolutional neural networks

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Tolerant quantum Junta Testing

arXiv

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arXiv 2024年

作者： Chen, Zhaoyang Li, Lvzhou Luo, Jingquan Institute of Quantum Computing and Software School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China

Junta testing for Boolean functions has sparked a long line of work over recent decades in theoretical computer science, and recently has also been studied for unitary operators in quantum computing. Tolerant junta testing is more general and challenging than the standard version. While optimal tolerant junta testers have been obtained for Boolean functions, there has been no knowledge about tolerant junta testers for unitary operators, which was thus left as an open problem in [Chen, Nadimpalli, and Yuen, SODA2023]. In this paper, we settle this problem by presenting the first algorithm to decide whether a unitary is ϵ1-close to some quantum k-junta or is ϵ2-far from any quantum k-junta, where an n-qubit unitary U is called a quantum k-junta if it only non-trivially acts on just k of the n qubits. More specifically, we present a tolerant tester with (Equation presented), and ρ ∈ (0, 1), and the query complexity is (Equation presented), which demonstrates a trade-off between the amount of tolerance and the query complexity. Note that our algorithm is non-adaptive which is preferred over its adaptive counterparts, due to its simpler as well as highly parallelizable nature. At the same time, our algorithm does not need access to U†, whereas this is usually required in the literature. © 2024, CC BY.

关键词： Boolean functions

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Federated Learning for Hierarchical Fall Detection and Human Activity Recognition 10

Federated Learning for Hierarchical Fall Detection and Human...

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10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Afandy, Peter Febrianto Ng, Pai Chet Plataniotis, Konstantinos N. University of Glasgow School of Computing Science United Kingdom Singapore Institute of Technology Infocomm Technology Cluster Singapore Singapore University of Toronto The Edward S. Rogers Sr. Department of Electrical and Computer Engineering Canada

ISBN: (纸本)9798350373011

In healthcare monitoring, precise fall detection (FD) and human activity recognition (HAR) are paramount, especially for the elderly. This paper presents a federated learning (FL) framework that employs a two-stage hierarchical approach to address these needs. The first stage distinguishes between fall and non-fall events, crucial for minimizing false alarms in sensitive environments such as elderly care facilities. Subsequently, if a fall is detected, the system classifies the type of fall to facilitate appropriate medical responses;if no fall is detected, it classifies the specific activity being performed. This approach enables accurate emergency responses and supports personalized healthcare interventions. With FL, all model training are conducted on local devices using wearable data, including inertial measurement unit (IMU) and physiological signals, without the need to share sensitive data centrally, preserving users' privacy. This method ensures that each device contributes to a global model, whilst maintaining the confidentiality of individual data inputs. Our experimental evaluations demonstrate generalization capabilities in binary classification for FD and highlight challenges in multi-class scenarios for HAR, demonstrating the need for advanced strategies in handling complex classifications. The source code and experimental evaluations are accessible at https://***/SIT-FL/FL-Fall-Detection. © 2024 IEEE.

关键词： Data privacy

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Implementation of Continuous-Time quantum Walk on Sparse Graph

arXiv

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arXiv 2024年

作者： Chen, Zhaoyang Li, Guanzhong Li, Lvzhou Institute of Quantum Computing and Software School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China

Continuous-time quantum walks (CTQWs) play a crucial role in quantum computing, especially for designing quantum algorithms. However, how to efficiently implement CTQWs is a challenging issue. In this paper, we study implementation of CTQWs on sparse graphs, i.e., constructing efficient quantum circuits for implementing the unitary operator e−iHt, where H = γA (γ is a constant and A corresponds to the adjacency matrix of a graph). Our result is, for a d-sparse graph with N vertices and evolution time t, we can approximate e−iHt by a quantum circuit with gate complexity (d3||H||tN log N)1+o(1), compared to the general Pauli decomposition, which scales like (||H||tN4 log N)1+o(1). For sparse graphs, for instance, d = O(1), we obtain a noticeable improvement. Interestingly, our technique is related to graph decomposition. More specifically, we decompose the graph into a union of star graphs, and correspondingly, the Hamiltonian H can be represented as the sum of some Hamiltonians Hj, where each e−iHjt is a CTQW on a star graph which can be implemented efficiently. © 2024, CC BY.

关键词： quantum computers

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