Article
Computer Science, Information Systems
Enrico Russo, Maurizio Palesi, Davide Patti, Salvatore Monteleone, Giuseppe Ascia, Vincenzo Catania
Summary: DNN hardware accelerators enable complex inferences on resource-constrained IoT devices. This article introduces EPOCA, an end-to-end Pareto optimization method for determining the accelerator's architecture and layer mappings that optimize multiple objectives simultaneously. The results show that EPOCA provides a range of choices for tradeoffs in specific applications.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Multidisciplinary Sciences
Mohammad Soruri, S. Mohammad Razavi, Mehdi Forouzanfar, Paolo Colantonio
Summary: This paper focuses on improving the performance of power amplifiers in communication systems. A power amplifier with optimized input and output matching networks is presented, using a new structure of Hidden Markov Model for modeling. The widths and lengths of microstrip lines in the networks are optimized by the Hidden Markov Model. The measurement results show that the proposed power amplifier achieves a power-added efficiency higher than 50%, a gain of about 14 dB, and input and output return losses lower than -10 dB over the frequency range of 1.8-2.5 GHz. It has potential applications in wireless systems such as radar.
Article
Engineering, Electrical & Electronic
Zhenbang Liu, Falun Song, Hui Jin, Xiao Jin, Hua Huang, Shifeng Li
Summary: The article introduces an improved X-band gigawatt coaxial multi-beam relativistic klystron amplifier, which achieves coherent combination of power in space by enhancing phase stability, with experimental results demonstrating a combined efficiency of up to 95%.
IEEE ELECTRON DEVICE LETTERS
(2022)
Article
Computer Science, Information Systems
Rana Aly Onsy, Mohamed El-Nozahi, Hani Ragai
Summary: In this paper, a parasitic-design-aware simulation-based design tool is proposed for highly linear RF power amplifiers. The proposed tool aims to speed up the design process and provide accurate final designs by considering the effect of parasitic components. The tool is verified by designing a highly linear RF power amplifier at three different frequencies and achieving high performance.
Article
Computer Science, Interdisciplinary Applications
Nicole Neveu, Tyler H. Chang, Paris Franz, Stephen Hudson, Jeffrey Larson
Summary: Particle accelerators are complex systems with numerous components and wide input ranges, making optimization a challenging task. The use of heuristic optimization methods, such as genetic algorithms and particle swarm optimization, has become prevalent in the field of accelerator physics. However, their efficiency is limited by the large number of simulation evaluations required. In this study, the LCLS-II photoinjector was optimized using three different algorithms, with the Latin hypercube samples outperforming the uniform samples. Model-based methods approximated the Pareto front with fewer simulation evaluations. This work highlights the importance of objective penalties and recommends heuristic methods for initial optimizations and model-based methods when information about the objective space is available.
COMPUTER PHYSICS COMMUNICATIONS
(2023)
Article
Materials Science, Multidisciplinary
Y. Leow, J. K. Shi, W. Liu, X. P. Ni, P. Y. M. Yew, S. Liu, Z. Li, Y. Xue, D. Kai, X. J. Loh
Summary: This study investigated the relationship between fabric properties and mask performance through experimental design and machine learning, revealing the impact of different fabric properties and layer combinations on mask filtration efficiency.
MATERIALS TODAY ADVANCES
(2021)
Article
Physics, Fluids & Plasmas
T. Lafleur
Summary: It has been found that there are important similarity parameters between particle extraction systems using hybrid AC/DC biasing and conventional DC biased systems. The onset of particle reflection depends on the AC frequency, voltage magnitude, and initial particle injection velocity. When the injection current exceeds the AC limit, the system becomes unstable and generates self-excited space-charge oscillations.
PLASMA SOURCES SCIENCE & TECHNOLOGY
(2021)
Article
Automation & Control Systems
Wen-Sheng Zhao, Bin-Xiao Wang, Da-Wei Wang, Bin You, Qi Liu, Gaofeng Wang
Summary: This article introduces a numerical optimization design of microfluidic channel route to improve sensor sensitivity, using particle-ant colony optimization algorithm and wolf colony algorithm. The developed methodology significantly increases the sensor sensitivity and shows good universality and automatic optimization ability for microwave microfluidic sensor design.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Computer Science, Information Systems
Jia Guo, Giovanni Crupi, Jialin Cai
Summary: This paper applies a new multi-objective Bayesian optimization algorithm to design a broadband GaN-based Doherty power amplifier. The proposed method can be automatically implemented by combining it with a commercial simulation software. Compared with other optimization methods, the DPA designed with the proposed method achieves better performance in a shorter optimization time.
Article
Engineering, Electrical & Electronic
Anna Piacibello, Vittorio Camarchia, Paolo Colantonio, Rocco Giofre
Summary: This article presents the design strategy and implementation of a three-way Doherty power amplifier to enhance efficiency at deep power back-off. The proposed design strategy is validated through the design, fabrication, and experimental characterization of a three-way multistage Doherty amplifier optimized for efficiency peaks at 6 and 12 dB back-off. The prototype achieved competitive performance and a good agreement between simulations and measurements, thus validating the approach.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2022)
Article
Computer Science, Information Systems
Gianluca Giustolisi, Gaetano Palumbo
Summary: An analytical criterion has been established for optimizing the small-signal settling time in three-stage amplifiers based on equaling two exponential decays of the step response. By considering slew-rate effects, a useful design strategy for three-stage operational transconductance amplifier is provided. Extensive time-domain simulations on a transistor-level design in a 65-nm CMOS process have confirmed the validity of the proposed approach.
Article
Mathematics
Jimmy H. Gutierrez-Bahamondes, Daniel Mora-Melia, Bastian Valdivia-Munoz, Fabian Silva-Aravena, Pedro L. Iglesias-Rey
Summary: The design of pumping stations in a water distribution network is crucial in determining costs and optimizing network performance. However, current methodologies are not suitable for real-sized networks. To address this issue, a new method based on network preprocessing was proposed, which effectively reduces the search space and improves the performance of the optimization model.
Article
Computer Science, Hardware & Architecture
Linyan Mei, Pouya Houshmand, Vikram Jain, Sebastian Giraldo, Marian Verhelst
Summary: ZigZag is a rapid design space exploration framework for embedding deep learning systems, introducing uneven mapping opportunities and smart mapping search strategies that lead to more energy-efficient solutions.
IEEE TRANSACTIONS ON COMPUTERS
(2021)
Article
Optics
Xueling Wei, Fen Zhao, Yiyi Zhang, Jie Nong, Jie Huang, Zhaojian Zhang, Huan Chen, Zhenfu Zhang, Xin He, Yang Yu, Zhenrong Zhang, Junbo Yang
Summary: Structural color has rapidly developed in recent years due to its advantages of low loss, high spatial resolution, and environmental friendliness. However, optimizing the inverse design of structural color remains a challenge. This study proposes a tensor completion algorithm that accurately predicts missing datasets to assist in structural color design, significantly enhancing design efficiency. Numerical and experimental results demonstrate the algorithm's reliability in terms of speed and accuracy.
Article
Optics
Xueling Wei, Fen Zhao, Yiyi Zhang, Jie Nong, Jie Huang, Zhaojian Zhang, Huan Chen, Zhenfu Zhang, Xin He, Yang Yu, Zhenrong Zhang, Junbo Yang
Summary: This study proposes a tensor completion algorithm for assisting in structural color design and demonstrates its reliability in improving design efficiency. Numerical and experimental results show that the algorithm achieves high speed and accuracy across different structures, dataset sizes, and materials. Additionally, the structural color design using diamond material overcomes high loss issues in the blue wavelength region and enhances the corrosion resistance of the structure.
Article
Physics, Applied
A. Yu. Baikov, O. A. Grushina, M. N. Strikhanov, A. A. Tishchenko
Article
Physics, Applied
A. Yu. Baikov, O. A. Grushina, M. N. Strikhanov
Article
Physics, Applied
A. Yu. Baikov, O. A. Grushina, M. N. Strikhanov
Review
Energy & Fuels
Andrei Baikov, Olga Baikova
Proceedings Paper
Engineering, Electrical & Electronic
A. Baikov, O. Baikova
Summary: The process of decelerating electron bunches in the klystron output cavity is only effective for sufficiently narrow bunches. A dynamic electron layer is formed during the deceleration process in the output gap to prevent electrons from exceeding the gap, leading to the necessity of increasing the output gap. Simulation results for a real klystron with limited length and high beam perveance are presented to demonstrate the significant effects of these considerations.
2021 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO)
(2021)
