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Understanding the Quantum Teleportation Protocol

Understanding the Quantum Teleportation Protocol

引用

2023 Congress in computer Science, computer engineering, and Applied Computing, CSCE 2023

作者： Spranger, Kurt T. Grimaila, Michael R. Hodson, Douglas D. Air Force Institute of Technology Dept. of Systems Engineering and Mgmt. Wright-Patterson AFBOH United States Air Force Institute of Technology Dept. of Electrical & Computer Engineering Wright-Patterson AFBOH United States

ISBN: (纸本)9798350327595

Decomposing a complex system into smaller abstract functional blocks and developing mathematical models to represent their behavior is an important activity towards developing comprehensive system understanding. In this paper, we decompose the ideal Quantum Teleportation protocol into a collection of simple quantum circuit blocks, examine the behavior of each block, and show how collections of blocks operate to create more complex circuits. We believe this approach greatly simplifies the understanding of how the Quantum Teleportation protocol works. This paper is introductory in nature and is intended to help those who are new to modeling, simulating, and analyzing ideal quantum circuits. © 2023 IEEE.

关键词： Bell State Generation (BSG) Bell State Measurement (BSM) Einstein Podolsky Rosen (EPR) pairs quantum entanglement quantum teleportation superdense coding

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Dynamic Adaptation Gain Design and Tuning for Threat Discrimination 63

Dynamic Adaptation Gain Design and Tuning for Threat Discrim...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Zhang, Kangkang Chen, Kaiwen Polycarpou, Marios M. Parisini, Thomas University of Cyprus Kios Research and Innovation Center of Excellence Dept. of Electrical and Computer Engineering Nicosia1678 Cyprus Imperial College London Dept. of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom Aalborg University Department of Electronic Systems Denmark University of Trieste Department of Engineering and Architecture Italy

ISBN: (纸本)9798350316339

Considering potential threats to cyber-physical systems such as component faults and stealthy cyber-attacks, an adaptive observer-based threat discrimination method is proposed for identifying the occurring threat type. Typically, stealthy attacks have only weak effects easily obscured by disturbances on the system outputs. To solve this problem, a parameter adaptation algorithm based on a newly designed dynamic adaptive gain generator is proposed, aiming at improving the sensitivity of the adaptive threat discrimination scheme to potential threats. Only the strictly positive real condition of the proposed gain generator sufficiently ensures the stability of the adaptive observer error system. A moment-matching method is then developed to determine the proper parameters of the gain generator, allowing for the improvement of the sensitivity of the threat discriminators. A numerical example to demonstrate the effectiveness of the proposed methodology is presented. © 2024 IEEE.

关键词： Cyber attacks

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Pursuit-Evasion on a Sphere and When It Can Be Considered Flat 63

Pursuit-Evasion on a Sphere and When It Can Be Considered Fl...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Milutinovic, Dejan Moll, Alexander Von Manyam, Satyanarayana G. Casbeer, David W. Weintraub, Isaac E. Pachter, Meir Electrical and Computer Engineering Dept. University of California Santa Cruz Santa CruzCA United States Control Science Center Aerospace Systems Directorate Air Force Research Laboratory DaytonOH45435 United States Dcs Corporation DaytonOH United States Air Force Institute of Technology Wright-Patterson Afb Dept. of Electrical Engineering OH United States

ISBN: (纸本)9798350316339

In planar pursuit-evasion differential games considering a faster pursuer and slower evader, the interception points resulting from equilibrium strategies lie on the Apollonius circle. This property is instrumental for leveraging geometric approaches for solving multiple pursuit-evasion scenarios in the plane. Here, we study a pursuit-evasion differential game on a sphere and generalize the planar Apollonius set to the spherical domain. We find that the interception point from the equilibrium strategies can leave the Apollonius set boundary and present a condition to keep the intercept point on the boundary. This condition allows for generalizing planar pursuitevasion strategies to the sphere. © 2024 IEEE.

关键词： Spheres

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POCS-based Image Compression: An Empirical Examination 7

POCS-based Image Compression: An Empirical Examination

引用

7th International Conference on Green technology and Sustainable Development, GTSD 2024

作者： Do, Truong-Dong Tran, Le-Anh Nguyen, Thanh-Dat Truong, Nghe-Nhan Park, Dong-Chul Le, My-Ha Sejong University Dept. of Aerospace Systems Engineering Seoul Korea Republic of Myongji University Dept. of Electronics Engineering Yongin Korea Republic of Dept. of Research and Development Ocst Co. Ltd. Seoul Korea Republic of Sejong University Dept. of Computer Science & Engineering Seoul Korea Republic of Hcmc University of Technology & Education Dept. of Electrical & Electronics Engineering Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350386073

This paper investigates the applicability of the Pro-jection onto Convex Set (POCS)-based clustering algorithm to image compression tasks. The POCS-based clustering approach treats all data points in a given dataset as non-intersecting convex sets and performs POCS-based parallel projections from each cluster prototype onto corresponding member data points to minimize an objective function and update cluster prototypes. The POCS-based clustering algorithm has been proven to be able to yield promising results against other prevailing clustering approaches in terms of convergence time and clustering error on general clustering tasks. In this study, a comparison of various clustering schemes for image compression applications has been conducted. The evaluations and analyses on various standard test images verify that the POCS-based clustering algorithm can perform competitively against other conventional clustering methods in image compression problems. © 2024 IEEE.

关键词： Unsupervised learning

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Recurrent Graph Neural Network-Based Identification of Replay Attacks in Power Networks 4

Recurrent Graph Neural Network-Based Identification of Repla...

引用

4th International Conference on electrical, computer, Communications and Mechatronics engineering, ICECCME 2024

作者： Joad, Faaiz Atat, Rachad Mbayed, Hayat Takiddin, Abdulrahman Florida State University Dept. of Electrical & Computer Engineering TallahasseeFL United States Lebanese American University Computer Science Department Beirut Lebanon Florida State University Center for Advanced Power Systems TallahasseeFL United States

ISBN: (纸本)9798350391183

As cyber-physical systems, power networks exchange data to ensure smooth operation. Through communication networks, the exchanged data becomes vulnerable to cyberattacks where malicious entities establish malevolent connections to falsify the data, which exploit the data integrity, leading to network instability. Machine learning-based solutions have been proposed to identify such malevolent actions, including false data injection attacks. This paper aims to (a) enhance the attack detection performance and (b) quantify the performance of non-recurrent and recurrent machine learning-based attack detection systems against multiple replay attacks that involve falsifying data via presenting normal operation patterns from previous timestamps. It turns out that capturing temporal aspects from the data using recurrent models outperforms non-recurrent models by 5-32% in accuracy (ACC). Specifically, we propose a recurrent graph neural network (RGNN) model that captures the temporal and spatial aspects of the network data. The RGNN model outperforms non-recurrent models by 14-32% and other recurrent models by 6-13% in ACC. The experiments are conducted on IEEE 14, 39, and 118-bus power networks where the model performance is enhanced (by up to 8% in ACC) in larger systems due to capturing more spatial and temporal features. © 2024 IEEE.

关键词： Cyber attacks

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Deep Reorganization: Retaining Residuals in TinyML 24

Deep Reorganization: Retaining Residuals in TinyML

引用

61st ACM/IEEE Design Automation Conference, DAC 2024

作者： Mendis, Hashan Roshantha Kang, Chih-Kai Lin, Chun-Han Chen, Ming-Syan Hsiu, Pi-Cheng Research Center for Information Technology Innovation Academia Sinica Taiwan Graduate Institute of Electrical Engineering National Taiwan University Taiwan Dept. of Computer Sci. & Information Engineering National Taiwan Normal University Taiwan

ISBN: (纸本)9798400706011

Designing intelligent, tiny devices with limited memory is immensely challenging, exacerbated by the additional memory requirement of residual connections in deep neural networks. In contrast to existing approaches that eliminate residuals to reduce peak memory usage at the cost of significant accuracy degradation, this paper presents DERO, which reorganizes residual connections by leveraging insights into the types and interdependencies of operations across residual connections. Evaluations were conducted across diverse model architectures designed for common computer vision applications. DERO consistently achieves peak memory usage comparable to plain-style models without residuals, while closely matching the accuracy of the original models with residuals. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Deep neural networks

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Practical Numerical Modeling Approach for a Design of a Two-Dimensional Linear Synchronous Actuator 14

Practical Numerical Modeling Approach for a Design of a Two-...

引用

14th International Symposium on Linear Drivers for Industry Applications, LDIA 2023

作者： Ito, Noriaki Koseki, Takafumi Ohnishi, Wataru Nakamura, Yuichiro Takahashi, Kenji Sekiguchi, Hiroyuki The University of Tokyo Dept. of Electrical Engineering and Information Systems Tokyo Japan Advanced Technology R&d Center Mitsubishi Electric Corporation Hyogo Japan

ISBN: (纸本)9798350329612

This paper proposes the design of a magnetically levitated planar motor, the configuration of a basic numerical method to embody the control concept, and the design procedure for an experimental test rig. This motor is stable in the levitating direction but unstable in the driving direction because it utilizes the repulsive force between the stator permanent magnets and the moving coils. One problem with magnetically levitated planar motors is the time-consuming nature of the three-dimensional finite element analysis. This analysis requires significant computational resources and can result in significant delays in the design process. To address this problem, a less time-consuming method using Gaussian process regression is presented. In addition, the proposed analysis is verified using a test rig equipped with several sensors. These sensors will provide measurements of static force characteristics and flux linkage to evaluate the performance and effectiveness of the motor under various operating conditions. © 2023 IEEE.

关键词： Finite element method

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Design of a 28nm CMOS Self-Biased Ring Oscillator for Intrinsically Robust PVT TRNG

Design of a 28nm CMOS Self-Biased Ring Oscillator for Intrin...

引用

Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： João Cabacinho João Casaleiro Luís Oliveira Dept. of Electrical and Computer Engineering NOVA School of Science and Technology Caparica Portugal Center for Technologies and System (CTS) - UNINOVA Dept. Electrical Telecommunications and Computers Engineering ISEL Lisboa Portugal

In this paper we present a dynamic entropy generator based on the oscillator jitter, which uses a self-biasing technique to minimize process, voltage, and temperature (PVT) variations. The proposed circuit has the advantage of its intrinsic robustness due to self-biasing design, which eliminates the need of additional calibration steps and simplifies the circuit topology, with a negligible impact in area and power consumption. A frequency deviation below 15 % and a maximum jitter difference of 32 % under PVT variations, is obtained, in a 28 nm CMOS technology circuit prototype. For validation of the proposed circuit technique the IC prototype is compared with a standard ring oscillator and with traditional calibration techniques.

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Improving ASTRO's Perception Capability for a more Natural Follow-Me Task 6

Improving ASTRO's Perception Capability for a more Natural F...

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6th Experiment at International Conference, exp.at 2023

作者： Ferreira, Bruno Sorrentino, Alessandra Menezes, Paulo Batista, Jorge Dias, Jorge Fiorini, Laura Cavallo, Filipo University of Coimbra Institute of Systems and Robotics Dept. of Electrical and Computer Engineering Coimbra Portugal Khalifa University of Science and Technology Khalifa University Center for Autonomous Robotic Systems Abu Dhabi United Arab Emirates University of Florence Dept. of Industrial Engineering Florence Italy BioRobotics Institute Scuola Superiore Sant'Anna Pisa Italy

ISBN: (纸本)9798350314403

Social assistive robots usually encompass a great compromise between the advanced perception models that one can use and their computing capabilities. The ideal approaches are always oriented towards low power consumption while maintaining a higher order of responsiveness to the surroundings. Therefore, we present in this paper, an improvement of the follow-me system on ASTRO. In detail, we propose the use of Mediapipe SDK for human detection and tracking, when ASTRO is meant to accompany someone that is walking. A study on the new velocity and distance profiles that the robot keeps from the individuals is presented and we have also evaluated how it affects their perception of being safe. The presented results show that our new approach allows the system to achieve real-time performance by becoming ≈ 9.1× faster, smoothing, and keeping a more natural distance from the user. © 2023 IEEE.

关键词： Human robot interaction

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Diagnosis of Epileptic Seizures in TLE Patients by Improved Cepstrum Analysis 2

Diagnosis of Epileptic Seizures in TLE Patients by Improved ...

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2nd International engineering Conference on electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Tajadini, Bahar Attar, Hani Nejad, Saeid Reza Seyd Rezakhani, Soheila Boostani, Reza Shiraz University Electrical and Computer Engineering Faculty Cse and It Dept. Shiraz Iran Zarqa University Faculty of Engineering Zarqa Jordan College of Business Administration University of Business and Technology Jeddah21448 Saudi Arabia Shahid Bahonar University Electrical Engineering Dept. Kerman Iran Neuroscience Research Center School of Medicine Medical Sciences University Neurology Dept. Kerman Iran School of Engineering Shiraz University Electrical and Computer Engineering Faculty Cse and It Dept. Shiraz Iran

ISBN: (纸本)9798350373363

Epilepsy is a common chronic brain disease characterized by recurrent seizures. The most effective way to detection the arrival of an epileptic seizure is EEG analysis. Various methods have been proposed in the detection of epilepsy. The article proposes the combination of the AutoRegressive and Cepstrum methods, taking into account the periodic characteristics of the amplitude and frequency of epileptic seizures compared to seizure-free periods in brain signals. Once the signal is received and pre-processed, the AR model of the signal is calculated and the Cepstrum is obtained on the modeled signal, then the Cepstrum coefficients are averaged within the given interval, and a detection of epileptic seizure is made by thresholding the averaged coefficients. TLE patients were selected in this study due to their higher prevalence compared to other types of epilepsy. The proposed detection algorithm was examined on 11 EEG patients with temporal lobe epilepsy. The results indicate that the proposed method has an accuracy of 98.3% and a false positive rate of 0.5%, which demonstrates its superiority over existing methods, especially considering the presence of various artifacts in the available data. Moreover, owing to its low computational complexity, the proposed method can be integrated into real-time implant detection systems. © 2023 IEEE.

关键词： Diagnosis

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