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SSRN 2022年

作者： Aboud, Ahlem Rokbani, Nizar Fdhila, Raja Qahtani, Abdulrahman M. Almutiry, Omar Dhahri, Habib Hussain, Amir Alimi, Adel M. University of Sousse ISITCom Sousse4011 Tunisia BP 1173 Sfax3038 Tunisia High Institute of Applied Science and Technology of Sousse University of Sousse Tunisia Department of Computer Science College of Computers and Information Technology Taif University P.O.Box. 11099 Taif21944 Saudi Arabia College of Applied Computer Science King Saud University Riyadh Saudi Arabia Edinburgh Napier University School of Computing EdinburghEH10 5DT United Kingdom Department of Electrical and Electronic Engineering Science Faculty of Engineering and the Built Environment University of Johannesburg South Africa

Particle Swarm Optimization (PSO) system based on the distributed architecture over multiple sub-swarms is very efficient for static multi-objective optimization, but has not been considered for solving dynamic multi-objective problems (DMOPs). Tracking the most effective solutions over time and ensuring good exploitation and exploration are the main challenges of solving DMOP. This study proposes a Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels. At the first level, all solutions are managed in a single search space. When a dynamic change is successfully detected in the objective values, the Pareto ranking operator is used to enable a multiple sub-swarm’ subdivisions and processing which drives the second level of enhanced exploitation. A dynamic handling strategy based on random detectors is used to track the changes of the objective function due to time-varying parameters. A response strategy consisting in re-evaluate all unimproved solutions and replacing them with newly generated ones is also implemented. The DPb-MOPSO system is tested on a set of DMOPs with different types of time-varying Pareto Optimal Set (POS) and Pareto Optimal Front (POF). Inverted generational distance (IGD), mean inverted generational distance (MIGD), and hypervolume difference (HVD) metrics are used to assess the DPb-MOPSO performances. Quantitative results are analyzed using Friedman's analysis of variance, while stability is analyzed using Lyapunov's theorem. The DPb-MOPSO is more robust than several dynamic multi-objective evolutionary algorithms in solving 21 complex problems over a range of changes in both the POS and POF. On IGD and HVD, DPb-MOPSO can solve 8/13 and 7/13 of the 13 UDF and ZJZ functions with moderate changes. DPb-MOPSO is able to resolve 4/8 FDA and DMOP benchmarks with severe changes to the MIGD, and 5/8 with moderate changes. DPb-MOPSO assumes 4/8 of the solving function on IGD

关键词： Particle swarm optimization (PSO)

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Study on Low Voltage and Low Power Consumption SAR ADC using Asynchronous Type SAR Composed of Delay Circuit

IEEJ Transactions on Electronics, Information and Systems

引用

IEEJ Transactions on electronics, Information and Systems 2019年第1期139卷 50-55页

作者： Hino, Shota Uemi, Allex Masui, Yoshihiro Electrical and Electronic Engineering Graduate School of Science and Technology Hiroshima Institute of Technology 2-1-1 Miyake Saeki-ku Hiroshima-shi Hiroshima731-5193 Japan Department of Electronics and Computer Engineering Faculty of Engineering Hiroshima Institute of Technology 2-1-1 Miyake Saeki-ku Hiroshima-shi Hiroshima731-5193 Japan

In recent years, there is a movement to realize wireless sensor network by energy harvest. However, the power obtained by energy harvesting is very low. Therefore, ADC used for sensors need to have low power consumption. We realized low voltage and low power consumption by making the SAR ADC asynchronous by the delay circuit. © 2019 The Institute of Electrical Engineers of Japan.

关键词： Delay circuits

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Complexity measures of electric screening effect in interstellar medium

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Results in Physics 2024年 65卷

作者： Amadi, Precious O. Suryadi, Suryadi Ali, Norshamsuri Aljunid, Syed Alwee Endut, Rosdisham Jamlos, Mohd Aminudin Ikot, Akpan N. Institute of Engineering Mathematics Universiti Malaysia Perlis Arau Perlis 02600 Malaysia Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Arau Perlis 02600 Malaysia Department of Physics Ignatius Ajuru University of Education Rumuolumeni Rivers State Port Harcourt P.M.B 5047 Nigeria Deparment of Computer Engineering Bina Nusantara (BINUS) University Palmerah DKI Jakarta West Jakarta 11480 Indonesia Centre of Excellence Advanced Communication Engineering (ACE) Universiti Malaysia Perlis (UniMAP) Perlis Arau 02600 Malaysia Theoretical Physics Group Department of Physics University of Port Harcourt Rivers State Choba 5323 PMB Nigeria Western Caspian University Baku Azerbaijan

Using the screening potential, we explore probability density properties in interstellar mediums (ISM) in information theory. With the eigenfunctions obtained for the screening potential using the Schrodinger equation, we studied the probability distribution for Shannon entropy, Fisher information, and their complexity measures for the values of n and l. From our numerical result, for Shannon entropy, we observed a more localized probability distribution in position and a decreasing localization in the momentum space as the values of n and l increases. For Fisher information, localization increases in the position space and, consequently, delocalization in their momentum spaces. The uncertainty relations of Shannon entropy and Fisher information were computed and satisfied the relations. For interstellar mediums, our findings align with Heinsberg's uncertainty principle. Complexity measure was also studied for the interstellar mediums and our findings showed increasing disorder in the position space for increasing values of n and l. Furthermore, we extended the Debye-Hückel length to other regimes particularly, Magnetosphere (D=10²) and Intergalactic Mediums (D=10⁵) © 2024 The Author(s)

关键词： Complexity measures Debye–Huckel length Fisher information Interstellar mediums Probability density Shannon entropy

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Ultrafast disinfection of SARS-CoV-2 viruses

arXiv

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arXiv 2022年

作者： Xu, Yang Chin, Alex Wing Hong Zhong, Haosong Lee, Connie Kong Wai Chen, Yi Chan, Timothy Yee Him Fan, Zhiyong Duan, Molong Poon, Leo Lit Man Li, Mitch Guijun Division of Integrative Systems and Design The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong School of Public Health LKS Faculty of Medicine The University of Hong Kong 21 Sassoon Road Hong Kong Centre for Immunology & Infection Hong Kong Science Park Hong Kong Department of Mechanical and Aerospace Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

The wide use of surgical masks has been proven effective for mitigating the spread of respiration diseases, such as COVID-19, alongside social distance control, vaccines, and other efforts. With the newly reported variants, such as Delta and Omicron, a higher transmission rate had been found compared to the ancestral strains. Recent data further suggest that Omicron variant can replicate better than the ancestral virus in the upper respiratoary *** frequent sterilization of surgical masks is needed to protect the wearers. However, it is challenging to sterilize the commodity surgical masks with a fast and effective method. Herein, we reported the sterilization of the SARS-CoV-2 viruses within an ultra-short time, while retaining the mask performance. Silver thin film is coated on commercial polyimide film by physical vapor deposition and patterned by laser scribing to form a Joule heating electrode. Another layer of the gold thin film was coated onto the opposite side of the device to promote the uniformity of the Joule heating through nano-heat transfer regulation. As a result, the surgical mask can be heated to inactivation temperature within a short time and with high uniformity. By Joule-heating the surgical mask with the temperature at 90 °C for 3 minutes, the inactivation of the SARS-CoV-2 showed an efficacy of 99.89%. Normal commodity surgical masks can be sterilized faster, more frequently, and efficiently against SARS-CoV-2 viruses and the new invariants. © 2022, CC BY.

关键词： SARS

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Analysis of D2D communication with RF energy harvesting and interference management

arXiv

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arXiv 2020年

作者： Razmi, Nasrin Mahdavi, Mehdi Mohammadi, Mohammadali Popovski, Petar Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran Faculty of Engineering Shahrekord115 Iran Department of Electronic Systems Aalborg University Denmark

Device-to-device (D2D) underlaid cellular network, enabled with radio frequency energy harvesting (RFEH), and enhanced interference management schemes is a promising candidate to improve spectral and energy efficiency of next generation wireless networks. In this paper, we propose a time division duplexing (TDD)-based protocol, in which allows the devices to harvest energy from the downlink transmissions of the base station, while controlling the interference among D2D and cellular communication in the uplink. We propose two schemes for transmission coordination, based on fixed transmission probability (FTP) and adaptive transmission probability (ATP), respectively. In FTP, the D2D transmitters that have harvested enough energy can initiate data transmission with a fixed probability. Differently from this, in ATP a device utilizes its sensing capability to get improved coordination and interference control among the transmitting devices. We evaluate the network performance by presenting an accurate energy model and leveraging tools from stochastic geometry. The results on outage probability and D2D sum-rate reveal the importance of transmission coordination on network performance. These observations led to a solution for choosing the parameters of the ATP scheme that achieves an optimal tradeoff between the D2D outage probability and number of transmitting users. Copyright © 2020, The Authors. All rights reserved.

关键词： Geometry

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Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning

arXiv

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arXiv 2025年

作者： Xu, Qi Zhu, Junyang Zhou, Dongdong Chen, Hao Liu, Yang Shen, Jiangrong Zhang, Qiang School of Computer Science and Technology Dalian University of Technology Dalian China Faculty of Electronic and Information Engineering Xi’an Jiaotong University China National Key Lab of Human-Machine Hybrid Augmented Intelligence Xi’an Jiaotong University China State Key Lab of Brain-Machine Intelligence Zhejiang University China

Deep neural networks (DNNs) excel in computer vision tasks, especially, few-shot learning (FSL), which is increasingly important for generalizing from limited examples. However, DNNs are computationally expensive with scalability issues in real world. Spiking Neural Networks (SNNs), with their event-driven nature and low energy consumption, are particularly efficient in processing sparse and dynamic data, though they still encounter difficulties in capturing complex spatiotemporal features and performing accurate cross-class comparisons. To further enhance the performance and efficiency of SNNs in few-shot learning, we propose a few-shot learning framework based on SNNs, which combines a self-feature extractor module and a cross-feature contrastive module to refine feature representation and reduce power consumption. We apply the combination of temporal efficient training loss and InfoNCE loss to optimize the temporal dynamics of spike trains and enhance the discriminative power. Experimental results show that the proposed FSL-SNN significantly improves the classification performance on the neuromorphic dataset N-Omniglot, and also achieves competitive performance to ANNs on static datasets such as CUB and miniImageNet with low power consumption. © 2025, CC BY-NC-SA.

关键词： Deep neural networks

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In search of a driver for atrial fibrillation

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Heart rhythm 2025年

作者： Lianne N van Staveren Yannick J H J Taverne Richard Hendriks Natasja M S de Groot Department of Cardiology Erasmus Medical Center Rotterdam. Department of Cardiothoracic Surgery Erasmus Medical Center Rotterdam. Department of Microelectronics Signal Processing Systems Faculty of Electrical Engineering mathematics and computer sciences Delft University of Technology Delft. Department of Cardiology Erasmus Medical Center Rotterdam Department of Microelectronics Signal Processing Systems Faculty of Electrical Engineering mathematics and computer sciences Delft University of Technology Delft. Electronic address: n.m.s.degroot@erasmusmc.nl.

BACKGROUND:Short atrial fibrillation cycle lengths (AFCL) and regular activation patterns are associated with drivers of atrial fibrillation (AF), though the relation with underlying patterns of activation is incompletely understood. Previous studies used automated assessment of electrograms to determine fast and regular fibrillatory rates. OBJECTIVE:We investigated the relation between AFCL, temporal variation in AFCL and the occurrence of driver-like patterns of activation using high-density local activation time mapping. METHODS:High-density epicardial mapping of the right atrium and left atrial ventricular groove including Bachmann's bundle was performed in 71 patients admitted for elective cardiac surgery. Recording sites with the shortest median AFCL (mAFCL) or the smallest standard deviation of AFCL (SD) were identified. Patterns of activation included focal or rotational activation, smooth propagation, propagation with conduction block (CB), collision and remnant activity. RESULTS:There was a higher number of fibrillation waves with CB (81[76-85]% versus 74[68-76]%, p<0.001) and fractionated potentials (22[12-37]% vs 12[9-15]%, p<0.001) at mAFCL than at other recording sites. SD sites harbored more smoothly propagating waves (33[24-54]% vs 17[11-25]%, p<0.001) and a higher proportion of single potentials (76[60-89]% vs 59[54-65]%, p<0.001). Both highly regular and fastest reactivated sites did not correspond to the origin of (repetitive) focal fibrillation waves. CONCLUSIONS:During extensive mapping, the fastest or most regularly activated areas are characterized by CB and smoothly propagating fibrillation waves instead of repetitive occurrence of focal or rotational activation patterns.

关键词： atrial fibrillation atrial fibrillation cycle length drivers irregularity mapping

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A Computationally Efficient Current-Sensorless Three-Vector Modulated Model Predictive Control with Neutral-Point Voltage Balancing for T-type Inverters with LC filters

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IEEE Transactions on Transportation Electrification 2025年

作者： Mo, Renji Yang, Yong Chen, Rong Ni, Kai Ji, Aiming Lim, Chee Shen Zhang, Xinan Fang, Gang Zeng, Weibo Rodriguez, Jose Soochow University School of Rail Transportation Suzhou215131 China School of Advanced Technology Suzhou215123 China University of Western Australia Department of Electrical Electronic and Computer Engineering PerthWA6009 Australia GOODWE Power Supply Technology Co. LTD Suzhou215100 China Universidad San Sebastian Santiago Faculty of Engineering Santiago8370146 Chile

This paper proposes a current-sensorless model predictive control (MPC) method for T-type three-level inverters with LC filters, eliminating the need for inductor or load current measurements. A capacitor current observer and a cost-function-modulated three-vector MPC are integrated to simultaneously regulate output voltage and balance the neutral-point voltage. To reduce computational complexity, a two-stage optimization strategy prioritizes vector length selection and voltage balancing, enabling its real-time implementation at kilohertz frequencies. Experimental results validate the method's effectiveness, demonstrating comparable performance to sensor-based approaches. © 2025 IEEE.

关键词： Cost functions

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Corrigendum to “Independently controlled multifrequency rejection bands in a broadband filter design using shorted T-shaped stub loaded resonator with central square ring” Alexandria Eng. J. 92 (2024)

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Alexandria engineering Journal 2024年 97卷 184-184页

作者： Abdul Basit Guoqiang Zhang Amil Daraz Farid Zubir Najmus saqib Muhammad Irshad Khan Salman A. AlQahtani Atif M. Alamri School of Information Science and Engineering NingboTech University Ningbo 31500 China College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China Wireless Communication Centre Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru 81310 Malaysia Department of Computer Science and Technology University of Science and Technology China College of Electronics and Information Engineering Nanjing University of Aeronautics and Astronautics (NUAA) Nanjing China Computer Engineering Department College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia Software Engineering Department College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia

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Transportation,germs,culture:a dynamic graph model of COVID-19 outbreak

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Quantitative Biology 2020年第3期8卷 238-244页

作者： Xiaofei Yang Tun Xu Peng Jia Han Xia Li Guo Lei Zhang Kai Ye School of Computer Science and Technology Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049China MOE Key Lab for Intelligent Networks&Networks Security Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049China School of Automation Science and Engineering Faculty of Electronic and Information EngineeringXi'an Jiaotong UniversityXi'an 710049China Hugobiotech Co. Ltd.Beijing 102600China The School of Life Science and Technology Xi'an Jiaotong UniversityXi'an 710049China China-Australia Joint Research Center for Infectious Diseases School of Public HealthXi'an Jiaotong University Health Science CenterXi'an 710061China Melbourne Sexual Health Centre Alfred HealthMelbourneVIC 3004Australia Central Clinical School Faculty of MedicineNursing and Health SciencesMonash UniversityMelbourneVIC 3004Australia Department of Epidemiology and Biostatistics College of Public HealthZhengzhou UniversityZhengzhou 450001China Genome Institute the First Affiliated Hospital of Xi'an Jiaotong UniversityXi'an 710061China

Backgrounds Various models have been applied to predict the trend of the epidemic since the outbreak of ***:In this study,we designed a dynamic graph model,not for precisely predicting the number of infected cases,but for a glance of the dynamics under a public epidemic emergency situation and of different contributing factors・Results^We demonstrated the impact of asymptomatic transmission in this outbreak and showed the effectiveness of city lockdown to halt virus spread within a *** further illustrated that sudden emergence of a large number of cases could overwhelm the city medical system,and external medical aids are critical to not only containing the further spread of the virus but also reducing *** Our model simulation showed that highly populated modern cities are particularly vulnerable and lessons learned in China could facilitate other countries to plan the proactive and decisive actions・We shall pay close attention to the asymptomatic transmission being suggested by rapidly accumulating evidence as dramatic changes in quarantine protocol are required to contain SARS・CoV・2 from spreading globally.

关键词： dynamic graph model transportation COVID-19 SARS-CoV-2

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