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CLEO: QELS_Fundamental science, QELS 2022

作者： Peana, Samuel Yesilyurt, Omer Mkhitaryan, Vahagn Senichev, Alexander Martin, Zachariah O. Lagutchev, Alexei S. Boltasseva, Alexandra Shalaev, Vladimir M. Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Quantum Science Center National Quantum Information Science Research Center The U.S. Department of Energy Oak RidgeTN37931 United States

We demonstrated large scale deterministic creation of single photon emitters in annealed silicon nitride on silicon oxide pillars. The estimated single photon emitter yield is approximately 50% with a lateral accuracy... 详细信息

ISBN: (纸本)9781557528209

关键词： Silicon nitride

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Developing a Super-lift Luo-converter with Integration of Buck Converters for Electric Vehicle Applications

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CSEE Journal of Power and Energy Systems 2021年第4期7卷 811-820页

作者： Behdad Faridpak Meisam Farrokhifar Mojtaba Nasiri Arman Alahyari Nasser Sadoogi Faculty of Electrical and Computer Engineering University of TabrizTabriz ***Iran Center for Energy Science and Technology Skolkovo Institute of Science and TechnologyMoscow 121205Russia Solar Energy Applications Group School of EngineeringTrinity College DublinD02 PN40 DublinIreland Research and Development Department of Jam Hoor Tabriz Company Tabriz ***Iran

In this paper,a DC-DC multi-port converter is introduced by integrating a super-lift and a buck converter(SLBC).The proposed single-input dual-output(SIDO)converter has conventional positive output voltage super-lift advantages while simultaneously generating a step・up voltage by Luo・converter and a step-down voltage by the buck *** this structure,without utilizing electromagnetic components to generate a dual output,the ripple in output voltages is kept ***,the introduced SLBC has a simple structure and an appropriate control method providing a wide range of output ***,to illustrate the advantages of the proposed SIDO converter,a comparison with other similar configurations is carried ***,simulation and experiment results indicate a considerable reduction in conduction losses compared to other SIDO converters in the same *** operation accuracy of SLBC is validated by performing several simulations in PSCAD/EMTDC software and testing a 150W prototype in the laboratory.

关键词： DC-DC converter Luo-converter single-input dual-output(SIDO) super-lift(SL) high voltage gain

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Enabling Complete Atomicity for Cross-Chain Applications Through Layered State Commitments

Enabling Complete Atomicity for Cross-Chain Applications Thr...

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Reliable Distributed Systems

作者： Yuandi Cai Ru Cheng Yifan Zhou Shijie Zhang Jiang Xiao Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab National Engineering Research Center for Big Data Technology and System School of Computer Science and Technology Huazhong University of Science and Technology China

ISBN: (数字)9798331530037

ISBN: (纸本)9798331530044

Cross-chain Decentralized Applications (dApps) are increasingly popular for their ability to handle complex tasks across various blockchains, extending beyond simple asset transfers or swaps. However, ensuring all dependent transactions execute correctly together, known as complete atomicity, remains a challenge. Existing works provide financial atomicity, protecting against monetary loss, but lack the ability to ensure correctness for complex tasks. In this paper, we introduce Avalon, a transaction execution framework for cross-chain dApps that guarantees complete atomicity for the first time. Avalon achieves this by introducing multiple state layers above the native one to cache state transitions, allowing for efficient management of these state transitions. Most notably, for concurrent cross-chain transactions, Avalon resolves not only intra-chain conflicts but also addresses potential inconsistencies between blockchains via a novel state synchronization protocol, enabling serializable cross-chain execution. We implement Avalon using smart contracts in Cosmos ecosystem and evaluate its commitment performance, demonstrating acceptable latency and gas consumption even under conflict cases.

关键词： Atomic layer deposition Smart contracts Ecosystems Decentralized applications Consensus protocol Synchronization Reliability Interoperability

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Risk Modeling and Traceability of Boundary Attacks on Internet of Power Systems Based on Complex Networks 9

Risk Modeling and Traceability of Boundary Attacks on Intern...

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9th IEEE International Conference on Data science in Cyberspace, DSC 2024

作者： Li, Xin Qu, Zhaoyang Yu, Tong Xie, Ming Yu, Fu Ding, Wei Northeast Electric Power University School of Electrical Engineering Jilin132012 China People's Bank of China Qinghai Provincial Branch Xining810000 China China Southern Power Grid Guangxi Power Grid Co. Ltd. Research Institute Nanning530023 China China Guizhou Power Grid Co. Ltd. Bijie Power Supply Bureau Bijie551700 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan250014 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computer Networks Jinan250014 China

ISBN: (纸本)9798350391367

With the increasing intelligence of power IoT terminal devices, the massive volume of data transmission, and the widespread adoption of shared services, traditional terminal boundary security mechanisms are unable to keep up with the rapid development of network technologies and applications. Additionally, they fail to trace and source network attacks, leading to frequent organized and purposeful malicious attack incidents. To address these issues, this paper proposes a research method for risk modeling and traceability of boundary attacks on power IoT terminals based on complex networks. First, based on the node information of power IoT terminal devices and complex network theory, a terminal boundary attack network (TBAN) is established. Next, using indicators related to complex network theory, such as degree, in-degree, and out-degree, the terminal boundary attack network is analyzed. Furthermore, a staged TBAN is proposed to analyze the attack risks at different times. Then, combining causal theory, a method for tracing and sourcing terminal boundary attacks based on a causal Bayesian network is proposed to identify and trace malicious attacks. Finally, validation and testing analysis are conducted using the actual deployment of power IoT terminal devices. The proposed analysis method transforms the spatial characteristics of the power IoT terminal boundary into a temporally sequential TBAN, which not only visually reflects attack risks but also reveals the temporal relationships of terminal boundary attacks between lines. © 2024 IEEE.

关键词： Internet of things

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Efficient Module-Lattice-based Certificateless Online/Offline Signcryption Scheme for Internet of Medical Things

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IEEE Internet of Things Journal 2025年

作者： Bai, Ye He, Debiao Yang, Zhichao Luo, Min Peng, Cong Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China Wuhan University School of Cyber Science and Engineering Wuhan430072 China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250014 China Naval University of Engineering Department of Information Security Wuhan430000 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan250014 China

The Internet of Medical Things (IoMT) has achieved remote diagnosis and real-time health monitoring through intelligent sensor devices and Internet of Things (IoT) technology, providing great convenience for analyzing medical conditions between doctors and patients. However, sensitive information such as patient medical data may face security challenges such as data leakage and abuse during transmission in the IoMT. To ensure the confidentiality and unforgeability of medical data transmission, scholars have proposed many cryptographic schemes. With the development of quantum computers, schemes based on traditional cryptographic primitives have become insecure. Existing cryptographic schemes for IoMT cannot simultaneously meet the security requirements of high communication performance, low computational overhead, and resistance to quantum attacks. Therefore, we propose an efficient module-lattice-based certificateless online/offline signcryption (MLCLOOSC) scheme resistant to quantum attacks while meeting the confidentiality and unforgeability requirements under Type I and Type II attacks. Compared with five recent CLOOSC schemes, theoretical analysis, and experimental test results show that the proposed scheme outperforms the other five schemes regarding computational and communication costs and security. Therefore, our scheme is more suitable for application in IoMT scenarios. © 2014 IEEE.

关键词： Quantum computers

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Improved Model of Common Radix and Rhizome Chinese Herbal Medicine Classification Based VGG16 5

Improved Model of Common Radix and Rhizome Chinese Herbal Me...

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5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Wang, Kunhui Zhao, Yongtao Wang, Yongzhe Shang, Xinyi Zhao, Wenjing Cao, Zhong Guangzhou University School of Electronics and Communication Engineering Guangzhou China Gansu Vocational and Technical College of Nonferrous Metallurgy Department of Mechanical and Electrical Engineering Jinchang China Tianjin Medical University School of Pharmacy Tianjin China School of Computer Science and Technology Shandong Weihai China Guangzhou University Center for Experiment Guangzhou China

ISBN: (纸本)9781665499132

Chinese Herbal Medicine (CHM) is a medicinal treasure of the Chinese nation, research on the identification and classification of CHM can help promote the heritage and development of CHM. In this paper, we propose a fast identification and classification method for common radix and rhizome CHM based on improved VGG16. Firstly, we add Convolutional Block Attention Module (CBAM) to VGG16 to improve the representation power of the model. Secondly, we reduce the number of parameters of VGG16 by global average pooling and improve the generalization ability of the model. The accuracy of the improved network model reaches 93.21%, which is higher than the popular models such as ResNet50, MobileNetV2, DenseNet121, and VGG16. © 2022 IEEE.

关键词： Medicine

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Integrating I4.0 Knowledge Graphs with Large Language Models Beyond SPARQL Endpoints 1

Integrating I4.0 Knowledge Graphs with Large Language Models...

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Joint of the 1st Software Lifecycle Management for Knowledge Graphs Workshop and the 3rd International Workshop on Semantic Industrial Information Modelling, SOFLIM2KG-SEMIIM 2024

作者： Wahid, Abdul Yahya, Muhammad Zaman, Farooq Zhou, Baifan Breslin, John G. Intizar, Muhammad Ali Kharlamov, Evgeny Data Science Institute University of Galway IDA Business Park Lower Dangan GalwayH91 AEX4 Ireland Valeo Vision Systems Tuam Galways Ireland Information Technology University Lahore Pakistan Department of Computer Science Oslo Metropolitan University Oslo Norway School of Electronic Engineering Dublin City University Dublin Ireland Bosch Center for AI Renningen Germany

Industry 4.0 (I4.0) knowledge graphs are a common way to represent industrial information models. Conventional SPARQL querying systems require the users to be familiar with the data schema and SPARQL syntax. However, this is often very difficult for many users in industrial production, who have mostly an engineering background, instead of a semantic web. Recent developments in large language models (LLMs) make it possible for non-semantic experts to use natural language to query knowledge graphs (KG). In this work, we present a framework and preliminary results of integrating Industry 4.0 KGs with LLMs to improve how data is represented, reasoned, and processed in manufacturing contexts, facilitating user interaction with KGs and contributing to operational efficiency. Our technique enhances Language Models (LLMs) by utilising the semantic complexity and interdependence of Knowledge Graphs (KGs). This allows us to incorporate domain-specific knowledge. We used the FAISS library and LLaMA2 to optimise the storage and retrieval of vectors, which improved the system’s performance and scalability. This integration allows for advanced fault detection, proactive maintenance, and process optimisation, resulting in decreased periods of inactivity and improved productivity. We introduce the framework’s architecture, implementation strategy, and possible advantages while also discussing the difficulties associated with data integration and scalability. The results of our study show that the integration of KG-LLM surpasses traditional approaches in terms of operational efficiency, as evidenced by enhanced fault detection, proactive maintenance, and process optimisation, thereby opening up possibilities for the advancement of more intelligent and resilient production systems. © 2022 Copyright for this paper by its authors.

关键词： Knowledge graph

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A Different Approach Design for Higher-Order Highly Selective Wideband Bandpass Filters Using Cascaded Building Blocks

A Different Approach Design for Higher-Order Highly Selectiv...

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Asia-Pacific Conference on Microwave

作者： Adnan Nadeem Nosherwan Shoaib Symeon Nikolaou Dimitra Psychogiou Photos Vryonides Department of Electrical Engineering Frederick University and Frederick Research Center Nicosia Cyprus School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad Pakistan School of Engineering University College Cork Tyndall National Institute Cork Ireland

ISBN: (数字)9798350363548

ISBN: (纸本)9798350363555

This paper presents a novel design approach for creating higher-order wideband bandpass filters (BPFs). The technique builds on a conventional filter topology, featuring shunt short-circuited stubs connected by transmission lines. In this method, the traditional $\lambda_{\mathrm{g}}/4$ interconnecting lines and $\lambda_{\mathrm{g}}/4$ short-circuited stubs are replaced by a building block comprising $\lambda_{\mathrm{g}}/8$ lines separated by $\lambda_{\mathrm{g}}/8$ short-circuited coupled-line sections. To enhance selectivity, $)_{\vee \mathrm{g}}/2$ open-and short-circuited coupled-line segments are used at the filter's input and output. The paper provides design guidelines and formulas through ABCD analysis for practical filter implementations. Additionally, a design example is demonstrated, along with its practical validation through the manufacturing and testing of a fifth-order microstrip-type BPF.

关键词： Band-pass filters Microwave measurement Power transmission lines Prototypes Transmission line measurements Reflection Topology Microwave filters Wideband Testing

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A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion Sensors 47

A Hybrid Residual CNN with Channel Attention Mechanism for C...

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47th International Conference on Telecommunications and Signal Processing, TSP 2024

作者： Mekruksavanich, Sakorn Phaphan, Wikanda Jitpattanakul, Anuchit School of Information and Communication Technology University of Phayao Department of Computer Engineering Phayao Thailand Research Group in Statistical Learning and Inference King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Applied Statistics Bangkok Thailand Intelligent and Nonlinear Dynamic Innovations Research Center King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Mathematics Bangkok Thailand

ISBN: (纸本)9798350365597

Recognizing individuals continuously using wearable devices has several applications in personalized services and security. This paper presents a hybrid deep network architecture called SE-ResBiLSTM that integrates a squeeze-and-excitation (SE) mechanism with residual bidirectional LSTM layers. The goal is to enhance the accuracy of person identification using data from wearable motion sensors. The SE blocks facilitate channel-wise feature refinement, highlighting helpful information. Residual connections enable the training of deeper LSTM architectures. The proposed method's accuracy in identifying individuals across increasing periods between training and testing is evaluated using the SP-SW HAR dataset, which contains activity data collected from wristwatch sensors. By leveraging representation learning and exhibiting resilience against sensor noise and temporal fluctuations, SE-ResBiLSTM improves recognition accuracy compared to regular and convolutional LSTM networks. According to the trial data, SE-ResBiLSTM achieved a maximum identification accuracy of 98.71 %. The experimental results demonstrate that this approach significantly boosts the performance of user identification using wristwatch sensors. © 2024 IEEE.

关键词： Wearable sensors

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Large Scale Site-Controlled Fabrication of Single Photon Emitters in Silicon Nitride Nanopillars

Large Scale Site-Controlled Fabrication of Single Photon Emi...

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Frontiers in Optics, FiO 2022

作者： Peana, Samuel Yesilyurt, Omer Senichev, Alexander Martin, Zachariah O. Mkhitaryan, Vahagn Lagutchev, Alexei S. Boltasseva, Alexandra Shalaev, Vladimir M. Birck Nanotechnology Center Purdue University West LafayetteIN47907 United States School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States Quantum Science Center A National Quantum Information Science Research Center of the U.S. Department of Energy Oak RidgeTN37931 United States

A high yield (67%) method of creating single photon emitters in annealed silicon nitride on silicon oxide pillars is demonstrated. Furthermore, the SPE emitter placement precision is found to be between ±30nm- &#...

ISBN: (纸本)9781557528209

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