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The Prospects of Quantum Secure Communication for Secret Sharing

IEEE Nanotechnology Magazine 2023年第2期17卷 38-44页

作者： Chou, Yao-Hsin Tseng, Kuo-Chun Kuo, Shu-Yu Kuo, Sy-Yen Sheu, Bing National Chi Nan University Department of Computer Science and Information Engineering Nantou Taiwan National Ilan University Department of Computer Science and Information Engineering Yilan Taiwan National Taiwan University Department of Physics and Center for Theoretical Physics Taipei Taiwan National Taiwan University Department of Electrical Engineering Taipei Taiwan Chang Gung University Department of Electronics Engineering Taoyuan Taiwan

Quantum computing and secure communication have gained considerable interest in recent years, as quantum computing has a potent ability to accelerate certain complex problems, such as factoring problems and discrete logarithms, which are important foundations of traditional computer security. With the rapid development of quantum computers, some secure communication protocols based on certain mathematical problems will face a significant danger, and quantum properties can be used to construct quantum secure communication and quantum cryptography that can achieve unconditional security. Among many topics of quantum cryptography, quantum secret sharing (QSS) is an important and challenging issue that provides scenarios to store highly sensitive, important, and confidential information. In this article, we systematically illustrate the development of QSS and how it operates, as well as its challenging issues and future directions. © 2007-2011 IEEE.

关键词： Quantum entanglement

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Ion-focused propagation of a relativistic electron beam in the self-generated plasma in atmosphere

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Chinese physics B 2022年第6期31卷 334-341页

作者： Jian-Hong Hao Bi-Xi Xue Qiang Zhao Fang Zhang Jie-Qing Fan Zhi-Wei Dong School of Electrical and Electronic Engineering Department North China Electric Power UniversityBeijing 102206China Institute of Applied Physics and Computational Mathematics Beijing 100094 China

It is known that ion-focused regime(IFR)can effectively suppress expansion of a relativistic electron beam(REB).Using the particle-in-cell Monte Carlo collision(PIC-MCC)method,we numerically investigate the propagation of an REB in neutral *** results demonstrate that the beam body is charge neutralization and a stable IFR can be *** a result,the beam transverse dimensions and longitudinal velocities keep close to the initial *** also calculate the charge and current neutralization factors of the *** with envelope equations,we obtain the variations of beam envelopes,which agree well with the PIC ***,both the energy loss and instabilities of the REB may lead to a low transport efficiency during long-range *** is proved that decreasing the initial pulse length of the REB can avoid the influence of electron *** parts of REB pulses to build a long-distance IFR in advance can improve the beam quality of subsequent ***,a long-distance IFR may contribute to the implementation of long-range propagation of the REB in space environment.

关键词： ion-focused regime(IFR) charge neutralization electron avalanche relativistic electron beam(REB) particle-in-cell Monte Carlo collision(PIC-MCC)

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Minimization of Commutation Torque Ripple in BLDC Drive Using Switched Capacitor Based ZETA Converter 4

Minimization of Commutation Torque Ripple in BLDC Drive Usin...

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4th IEEE International Conference on Sustainable Energy and Future Electric Transportation, SEFET 2024

作者： Saha, Sunam Chattopadhyay, Madhurima Mukherjee, Moumita Adamas University Electrical Engineering Kolkata India Heritage Institute of Technology Applied Electronics and Instrumentation Engineering Kolkata India Adamas University Physics Department Kolkata India

ISBN: (纸本)9798350383997

This paper proposes a method for minimizing the ripple in electromagnetic torque. The primary drawback of a brushless DC motor (BLDC) that limits its precise functioning is the torque ripple produced during the commutation time. In this study, the mathematical analysis of the torque ripple in brushless DC motor on application of DC-DC converter has been conducted. Also, a theoretical analysis of the relationship between the duty ratio of the DC-DC converter with torque ripple of BLDC motor has been presented. In this work, the influence of the duty ratio and commutation time in torque ripple has been analyzed. This work aims at reducing torque ripple of BLDC motor from the view point of duty ratio of switched-capacitor (SC) based zeta converter and commutation time. © 2024 IEEE.

关键词： Brushless DC motors

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Microscopic theory of spin Nernst effect

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Physical Review B 2024年第17期110卷 174411页

作者： Junji Fujimoto Taiki Matsushita Masao Ogata Department of Electrical Engineering Electronics and Applied Physics Department of Physics Graduate School of Science Department of Physics Trans-scale Quantum Science Institute

We present the microscopic theory of the spin Nernst effect, which is a transverse spin current directly induced by a temperature gradient, employing the linear response theory with Luttinger's gravitational potential method. We consider a generic, noninteracting electron system with randomly distributed impurities and evaluate the spin current response to the gravitational potential. Our theory takes into account a contribution of the local equilibrium current modified by Luttinger's gravitational potential and is thus consistent with the thermodynamic principle that thermal responses should vanish at absolute zero. The Ward-Takahashi identities ensure that the spin Nernst current is well-behaved at low temperatures in any order of the random impurity potentials. Furthermore, we microscopically derive the spin-current version of Mott's formula, which associates the spin Nernst coefficient with the spin Hall conductivity. The spin-current version of the Středa formula is also discussed. To demonstrate these findings, the spin Nernst current of three-dimensional Dirac electrons is computed. Our theory is general and can therefore be extended to interacting electron systems, where Mott's formula no longer holds.

关键词： Spin current Thermoelectrics Feynman diagrams Finite temperature field theory

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Classification of Water Apple Leaf Varieties using Transfer Learning

Classification of Water Apple Leaf Varieties using Transfer ...

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2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Pratondo, Agus Tambunan, Toufan Novianty, Astri Telkom University School of Applied Sciences Department of Multimedia Engineering Bandung Indonesia Telkom University School of Electrical Engineering Department of Computer Engineering Bandung Indonesia

ISBN: (纸本)9798350327472

Water apple (Syzygium aqueum) is a fruit that comprises numerous variants, and precise identification of these variants is essential for distinguishing their leaves accurately. This research presents a study on water apple leaf variant classification utilizing the VGG16 deep learning model. The objective was to distinguish between seven distinct water apple leaf variants, namely bol, citra, dalhari, deli merah, king rose, kiojok, and susu. A comprehensive dataset was compiled, consisting of a balanced distribution of 99 to 100 leaf images per variant. The research involved two experiments: one with random weight initialization and the other with pre-trained weights from the ImageNet dataset. The results demonstrated the significant impact of pre-trained weights initialization, as the model achieved an impressive accuracy of 91.69% compared to 47.79% with random weight initialization. The high accuracy, precision, recall, and F1-Score values indicated the model's effectiveness in accurately classifying the water apple leaf variants. This achievement holds promising potential for diverse practical applications in agriculture, botanical research, education, and conservation efforts. © 2023 IEEE.

关键词： Plant diseases

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Energy-Efficient Network Slicing for UAV-enabled Networks 10

Energy-Efficient Network Slicing for UAV-enabled Networks

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

作者： Al-Habob, Ahmed A. Dobre, Octavia A. Jing, Yindi Memorial University Faculty of Engineering and Applied Science St. John'sNL Canada University of Alberta Department of Electrical and Computer Engineering EdmontonAB Canada

ISBN: (纸本)9798350373011

This paper investigates an unmanned aerial vehicle (UAV)-enabled network slicing problem to provide content delivery and sensing data gathering services. Two tenants provide services to their clients by sharing a common infrastructure of a set of UAVs. The content delivery tenant needs to guarantee that each of its clients (users) receives the required content, while the sensing tenant aims to gather an adequate amount of uncorrelated data. An energy consumption minimization framework is considered to meet the tenants' requirements by optimizing the number of deployed UAVs, the deployment location of each UAV, the transmit power of each deployed UAV, and the user-UAV association. Taking into consideration the spatial correlation among the sensing users, a subset of these users is activated to gather the required sensing information. A heuristic solution approach is presented to select the suitable deployment location of the UAVs, activate the optimum subset of the sensing users, and associate the users of both tenants with the deployed UAVs. Simulation results illustrate that the proposed framework significantly reduces the total energy consumption. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Broadband optoelectronic mixer for terahertz frequency-comb measurements

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Optics Letters 2025年第10期50卷 3173-3176页

作者： Zang, Jizhao Morgan, Jesse S. Beling, Andreas Papp, Scott B. Time and Frequency Division National Institute of Standards and Technology BoulderCO United States Department of Physics University of Colorado BoulderCO United States Department of Electrical & Computer Engineering University of Virginia CharlottesvilleVA United States

We demonstrate ultra-broadband optoelectronic mixing of frequency combs that provides phase-coherent detection of a repetition frequency up to 500 GHz, using a high-speed modified uni-traveling carrier (MUTC) photodiode. Nonlinear photo-electron effects in the photodiode itself enable harmonic generation and down-mixing process of combs with widely different repetition frequencies. Specifically, we generate two 25 GHz frequency combs and use an optical filter to explore coherent down-mixing to the baseband of comb spectral components across microwave, millimeter-wave, and terahertz (THz) frequencies. The exceptional noise performance of the optoelectronic mixer enables the phase-coherent measurement of millimeter-wave and THz frequency combs with an Allan deviation of 10−13/τ for a measurement time of τ. We further investigate the dependence of conversion loss on the reverse bias voltage and photocurrent. The experimental results indicate that we can minimize the conversion loss by operating the photodiode at an optimal voltage and maximum available photocurrent. Our work provides a solution for millimeter-wave and THz frequency-comb measurements and facilitates fully stabilized frequency combs with microresonators. © 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.

关键词： Mixers (machinery)

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Recognition of Greek Alphabet Characters with Memristive Neuromorphic Circuit 2

Recognition of Greek Alphabet Characters with Memristive Neu...

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2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural engineering, MetroXRAINE 2023

作者： Chatzinikolaou, Theodoros Panagiotis Chatzipaschalis, Ioannis K. Tsakalos, Karolos-Alexandros Karamani, Rafailia-Eleni Fyrigos, Iosif-Angelos Kitsios, Stavros Bousoulas, Panagiotis Tsoukalas, Dimitris Sirakoulis, Georgios Ch. Democritus University of Thrace Department of Electrical and Computer Engineering Xanthi Greece Universitat Politécnica de Catalunya Department of Electronic Engineering Barcelona Spain National Technical University of Athens Department of Applied Physics Athens Greece

ISBN: (纸本)9798350300802

Pattern recognition is a critical aspect of modern computing and artificial intelligence, enabling robotic and computing systems to classify and categorize information based on its patterns and relationships. In this context, memristors are emerging as a promising new type of device for pattern recognition due to their memory capabilities as non-volatile two-terminal elements and in-memory computing potential. In this work, we present a novel approach to character recognition using CBRAM memristors by combining traditional machine learning techniques with a memristor-based oscillator exhibiting neuromorphic properties. The proposed approach demonstrates the feasibility of a pattern recognition specific hardware based on memristors that can be integrated in edge computing applications, aiming to bring computation and data storage closer to the source of data, rather than relying on centralized data centers, and consequently, leading to improved latency, increased reliability, and reduced costs. © 2023 IEEE.

关键词： memristive neuromorphic circuit memristive oscillators neuromorphic computing pattern recognition

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Deep Learning-Based Classification of Duku Fruit Varieties

Deep Learning-Based Classification of Duku Fruit Varieties

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2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing, AIRoSIP 2023

作者： Pratondo, Agus Novianty, Astri Telkom University School of Applied Sciences Department of Multimedia Engineering Bandung Indonesia Telkom University School of Electrical Engineering Department of Computer Engineering Bandung Indonesia

ISBN: (纸本)9798350327472

Classifying duku fruit varieties (Lansium domesticum) is vital for the agricultural industry, market segmentation, and customer satisfaction. This work use the VGG-16 and Inception V3 models to evaluate the usage of deep learning approaches for the classification of duku varieties. Utilizing transfer learning and fine-tuning techniques, this research modifies pre-trained models for the aim of duku fruit categorization. Experiments were conducted utilizing samples of the duku condet, matesih, and palembang variations to evaluate the performance of the models. The results are promising, with Inception V3 achieving an accuracy rate of 79.22 percent and VGG-16 achieving an accuracy rate of 75.92 percent. These accuracy percentages indicate that the models can properly classify different duku fruit kinds based on their external appearance. The paper underlines the significance of transfer learning for enhancing the performance of models by employing the knowledge gained from previously trained models on large datasets. © 2023 IEEE.

关键词： Fruits

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Arbitrary Waveforms From a Fine-Resolution Microresonator-Based Spectral Shaper

Arbitrary Waveforms From a Fine-Resolution Microresonator-Ba...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Cohen, Lucas M. Wu, Kaiyi Myilswamy, Karthik V. Lingaraju, Navin B. Weiner, Andrew M. School of Electrical and Computer Engineering Purdue University West LafayetteIN47907 United States The Johns Hopkins University Applied Physics Laboratory LaurelMD20723 United States

ISBN: (纸本)9781957171395

We report a scheme for programming microresonator-based spectral pulse shapers and demonstrate it with a six-channel, sub-GHz linewidth, silicon photonic spectral shaper to generate arbitrary waveforms from optical lines of a 3 GHz electro-optic comb Optical pulse shaping is a useful technique involving the manipulation of the relative amplitudes and phases of spectral slices from a broadband optical spectrum in order to shape the waveform in the time domain. Extensive research over the past couple decades has resulted in robust shaper systems utilizing bulk free space optical setups with components like diffraction gratings, lenses, and liquid crystal on silicon spatial light modulators [1]. While these setups are well-suited for femtosecond, high repetition rate waveform synthesis, they can be excessively large and incur a significant penalty in terms of optical loss when assembled to achieve fine spectral resolutions (order of GHz) necessary for low repetition rate waveforms. There has been a recent desire for fine spectral resolution pulse shaping in, for example, generating picosecond waveforms with a low repetition rate for the quantum control of electronic transitions within molecular ions or atoms [2, 3], or as the driving source for superconductor-based waveform synthesizers [4], and in spectral quantum information processing [5]. Photonic integrated circuits (PICs) offer a low size, weight, and power (SWaP) chip-scale platform for pulse shaping. To this end, the arrayed waveguide grating (AWG) device has been extensively researched. However, the AWG requires long optical paths to be operated at a fine-resolution, resulting in a large footprint (∼ cm× cm) and significant optical loss and phase errors, especially for high-index contrast platforms like silicon-on-insulator (SOI) [6]. A comparatively smaller number of integrated shaper designs have implemented microresonator-based spectral dispersers [7, 8];microresonators benefit from a small footprint, reson

关键词： Pulse repetition rate

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