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arXiv 2023年

作者： Zhong, Yuhan Wang, Chan Bian, Chenxu Chen, Xuhuinan Chen, Jialin Zhu, Xingjian Hu, Hao Low, Tony Chen, Hongsheng Zhang, Baile Lin, Xiao Interdisciplinary Center for Quantum Information State Key Laboratory of Extreme Photonics and Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China International Joint Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang The Electromagnetics Academy at Zhejiang University Zhejiang University Haining314400 China Jinhua Institute of Zhejiang University Zhejiang University Jinhua321099 China Department of Electrical and Computer Engineering Technion-Israel Institute of Technology Haifa32000 Israel School of Physics Zhejiang University Hangzhou310027 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore639798 Singapore Department of Electrical and Computer Engineering University of Minnesota MinneapolisMN55455 United States Department of Physics University of Minnesota MinneapolisMN55455 United States Shaoxing Institute of Zhejiang University Zhejiang University Shaoxing312000 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore637371 Singapore Centre for Disruptive Photonic Technologies Nanyang Technological University Singapore637371 Singapore

Directionally molding the near-field and far-field radiation lies at the heart of nanophotonics and is crucial for applications such as on-chip information processing and chiral quantum networks. The most fundamental model for radiating structures is a dipolar source located inside a homogeneous matter. However, the influence of matter on the directionality of dipolar radiation is oftentimes overlooked, especially for the near-field radiation. We show that the dipole-matter interaction is intrinsically asymmetric and does not fulfill the duality principle, originating from the inherent asymmetry of Maxwell’s equations, i.e., electric charge and current are ubiquitous but their magnetic counterparts are non-existent to elusive. Moreover, we find that the asymmetric dipole-matter interaction could offer an enticing route to reshape the directionality of not only the near-field radiation but also the far-field radiation. As an example, both the near-field and far-field radiation directionality of Huygens dipole (located close to a dielectric-metal interface) would be reversed, if the dipolar position is changed from the dielectric region to the metal region. © 2023, CC BY.

关键词： Maxwell equations

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A novel cascade heat integration configuration for electricity/freshwater/hydrogen outputs using SOFC-GT, multi-effect desalination, and PEM electrolysis using machine learning optimization

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Case Studies in Thermal Engineering 2025年 72卷

作者： Zuo, Zhaoyang Wang, Junhua Samad, Sarminah Othman, Nashwan Adnan Almadhor, Ahmad Ghandour, Raymond Alsayer, Ibrahim A Abduvalieva, Dilsora Alkhalaf, Salem Babiker, Samah G. School of Mechanical Engineering Xijing University Shaanxi Xi'an710123 China School of Computer Science South China Business College Guangdong University of Foreign Studies Gangzhou Guangdong510545 China Department of Management College of Business Administration Princess Nourah Bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Computer Engineering College of Engineering Knowledge University Erbil44001 Iraq Department of Computer Engineering Al-Kitab University Altun Kupri Iraq Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia College of Engineering and Technology American University of the Middle East Egaila54200 Kuwait Department of Chemical and Materials Engineering Engineering College Northern Border University Arar91431 Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor avenue 27 Tashkent100070 Uzbekistan Department of Computer Engineering College of Computer Qassim University Buraydah Saudi Arabia Department of Electronic Physics Faculty of Applied Science Red Sea University Port Sudan Sudan

The current study presents an innovative integrated multi-generation system tailored for residential communities based on a novel cascade heat integration configuration. The proposed system is designed for scalability, making it adaptable for various residential communities, from small housing complexes to larger urban developments. Its modular architecture allows flexible integration with existing infrastructure, enabling widespread deployment in diverse geographic and economic conditions. Utilizing a real-Time machine learning framework, the system dynamically optimizes energy distribution and operational efficiency, making it feasible for large-scale implementation while maintaining economic viability and environmental benefits. Hence, a real-Time machine learning framework is implemented to optimize key operational parameters dynamically, ensuring efficient fuel utilization, energy distribution, and load balancing across the system. The ML model continuously processes sensor data to adjust SOFC current density, GT pressure ratio, and ORC steam pressure, maximizing exergy efficiency while minimizing operational costs and CO2 emissions. Additionally, it enhances system reliability through predictive maintenance and demand-based power allocation, enabling a more adaptive and cost-effective multi-generation process. Noteworthy outcomes highlight an exergy efficiency improvement from 48 % to 60 % and a power output increase from 6.1 MW to 11.6 MW. Additionally, the levelized cost of electricity is notably reduced from 8 to 3 cents/kWh. The system also provides extra benefits by generating freshwater and hydrogen, addressing various societal challenges. © 2025 The Authors.

关键词： Predictive maintenance

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Modal regression based structured low-rank matrix recovery for multi-view learning

arXiv

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arXiv 2020年

作者： Xu, Jiamiao Wang, Fangzhao Peng, Qinmu You, Xinge Wang, Shuo Jing, Xiao-Yuan Philip Chen, C.L. School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Shenzhen Huazhong University of Science and Technology Research Institute China State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau 99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

Low-rank Multi-view Subspace Learning (LMvSL) has shown great potential in cross-view classification in recent years. Despite their empirical success, existing LMvSL based methods are incapable of well handling view discrepancy and discriminancy simultaneously, which thus leads to the performance degradation when there is a large discrepancy among multi-view data. To circumvent this drawback, motivated by the block-diagonal representation learning, we propose Structured Low-rank Matrix Recovery (SLMR), a unique method of effectively removing view discrepancy and improving discriminancy through the recovery of structured low-rank matrix. Furthermore, recent low-rank modeling provides a satisfactory solution to address data contaminated by predefined assumptions of noise distribution, such as Gaussian or Laplacian distribution. However, these models are not practical since complicated noise in practice may violate those assumptions and the distribution is generally unknown in advance. To alleviate such limitation, modal regression is elegantly incorporated into the framework of SLMR (term it MR-SLMR). Different from previous LMvSL based methods, our MR-SLMR can handle any zero-mode noise variable that contains a wide range of noise, such as Gaussian noise, random noise and outliers. The alternating direction method of multipliers (ADMM) framework and half-quadratic theory are used to efficiently optimize MR-SLMR. Experimental results on four public databases demonstrate the superiority of MR-SLMR and its robustness to complicated noise. Copyright © 2020, The Authors. All rights reserved.

关键词： Gaussian noise (electronic)

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Feasibility studies for imaging e+e− annihilation with modular multi-strip detectors

arXiv

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arXiv 2023年

作者： Sharma, S. Povolo, L. Mariazzi, S. Korcyl, G. Kacprzak, K. Kumar, D. Niedźwiecki, S. Baran, J. Beyene, E. Brusa, R.S. Caravita, R. Chug, N. Coussat, A. Curceanu, C. Czerwinski, E. Dadgar, M. Das, M. Dulski, K. Eliyan, K. Gajos, A. Gupta, N. Hiesmayr, B.C. Kaplon, L. Kaplanoglu, T. Klimaszewski, K. Konieczka, P. Kozik, T. Kozani, M.K. Krzemień, W. Moyo, S. Mryka, W. Penasa, L. Parzych, S. Del Rio, E. Perez Raczyński, L. Shivani Shopa, R.Y. Skurzok, M. Stępień, E.L. Tanty, P. Tayefi, F. Tayefi, K. Wiślicki, W. Moskal, P. Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Kraków30-348 Poland Total-Body Jagiellonian-PET Laboratory Jagiellonian University Kraków Poland Center for Theranostics Jagiellonian University Kraków Poland Department of Physics University of Trento via Sommarive 14 Povo Trento38123 Italy TIFPA INFN via Sommarive 14 Povo Trento38123 Italy INFN Laboratori Nazionali di Frascati CP 13 Via E. Fermi 40 Frascati00044 Italy Faculty of Physics University of Vienna Währingerstrasse 17 Vienna Vienna1090 Austria Department of Complex Systems National Centre for Nuclear Research Otwock-Świerk 05-400 Poland High Energy Physics Division National Centre for Nuclear Research Otwock-Świerk 05-400 Poland Institute of Nuclear Physics Polish Academy of Sciences Kraków31-342 Poland

Studies based on imaging the annihilation of the electron (e−) and its antiparticle positron (e+) open up several interesting applications in nuclear medicine and fundamental research. The annihilation process involves both the direct conversion of e+e− into photons and the formation of their atomically bound state, the positronium atom (Ps), which can be used as a probe for fundamental studies. With the ability to produce large quantities of Ps, manipulate them in a long-lived Ps states, and image their annihilations after a free fall or after passing through atomic interferometers, this purely leptonic antimatter system can be used to perform inertial sensing studies in view of a direct test of Einstein’s equivalence principle. It is envisioned that modular multi-strip detectors can be exploited as potential detection units for this kind of studies. In this work, we report the results of the first feasibility study performed on a e+ beamline using two detection modules to evaluate their reconstruction performance and spatial resolution for imaging e+e− annihilations and thus their applicability for gravitational studies of Ps. © 2023, CC BY.

关键词： Positrons

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Algorithmic Decomposition of Tasks with a Large Amount of Data 21st

Algorithmic Decomposition of Tasks with a Large Amount of Da...

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21st International Multi-Conference on Advanced computer systems, ACS 2018

作者： Rogoza, Walery Ishchenko, Ann Faculty of Computer Science and Information Technology West Pomeranian University of Technology Zolnierska Str. 52 Szczecin71-210 Poland Educational and Scientific Complex "Institute of Applied Systems Analysis" - ESC "IASA" The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" Building 35 Peremogy Av. 37-A Kiev03056 Ukraine

ISBN: (纸本)9783030033132

The transformation of models and data to the form that allows their decomposition is called algorithmic decomposition. It is a necessary preparatory stage in many applications, allowing us to present data and object models in a form convenient for dividing the processes of solving problems into parallel or sequential stages with significantly less volumes of data. The paper deals with three problems of modeling objects of different nature, in which algorithmic decomposition is an effective tool for reducing the amount of the data being processed and for flexible adjustment of object models performed to improve the accuracy and reliability of the results of computer simulation. The discussion is accompanied by simple examples that allow the reader to offers a clearer view of the essence of the methods presented. © 2019, Springer Nature Switzerland AG.

关键词： Metadata

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Multiscale characteristics of the emerging global cryptocurrency market

arXiv

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arXiv 2020年

作者： Wątorek, Marcin Drożdż, Stanislaw Kwapień, Jaroslaw Minati, Ludovico Oświęcimka, Pawel Stanuszek, Marek Complex Systems Theory Department Institute of Nuclear Physics Polish Academy of Sciences ul. Radzikowskiego 152 Kraków31-342 Poland Faculty of Computer Science and Telecommunications Cracow University of Technology ul. Warszawska 24 Kraków31-155 Poland Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30-348 Poland

Modern financial markets are characterized by a rapid flow of information, a vast number of participants having diversified investment horizons, and multiple feedback mechanisms, which collectively lead to the emergence of complex phenomena, for example speculative bubbles or crashes. As such, they are considered as one of the most complex systems known. Numerous studies have illuminated stylized facts, also called complexity characteristics, which are observed across the vast majority of financial markets. These include the so-called "fat tails" of the returns distribution, volatility clustering, the "long memory", strong stochasticity alongside non-linear correlations, persistence, and the effects resembling fractality and even multifractality. The striking development of the cryptocurrency market over the last few years - from being entirely peripheral to capitalizing at the level of an intermediate-size stock exchange - provides a unique opportunity to observe its evolution in a short period. The availability of high-frequency data allows conducting advanced statistical analysis of fluctuations on cryptocurrency exchanges right from their birth up to the present day. This opens a window that allows quantifying the evolutionary changes in the complexity characteristics which accompany market emergence and maturation. The purpose of the present review, then, is to examine the properties of the cryptocurrency market and the associated phenomena. The aim is to clarify to what extent, after such an impetuous development, the characteristics of the complexity of exchange rates on the cryptocurrency market have become similar to traditional and mature markets, such as stocks, bonds, commodities or currencies. The review introduces the history of cryptocurrencies, offering a description of the blockchain technology behind them. Differences between cryptocurrencies and the exchanges on which they are traded have been consistently shown. The central part of the review sur

关键词： Fractals

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Research of influence a physical carrier on the characteristics for four-element circular antenna array

Research of influence a physical carrier on the characterist...

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International Scientific Conference on Informatics 2018: Problems, Methodologies and Technologies, IPMT 2018

作者： Samodurov, A.S. Borisov, D.N. Radio Design and Manufacture Department Voronezh State Technical University 179/3 Moskovsky av. Voronezh394026 Russia Department of Information Systems Computer Science Faculty Voronezh State University University sq. 1 Voronezh394006 Russia

The main problem arising in the development of mobile-based antenna arrays is the problem of taking into account the influence of the carrier body on the characteristics of such an antenna array. Pilotless vehicle are one of the most popular directions of modern aviation development. It is aimed to consider a quite simple in design four-element annular antenna array and to analyze the influence on the bearing direction finding characteristics of such a mobile carrier which is a pilotless vehicle. Theoretical consideration of the carrier body effect on the bearing direction finding errors is usually reduced to the problem of electromagnetic waves diffraction on conducting objects. Comparison of some absolute bearing direction finding errors obtained by the phase correlation method for the cases of placing the antenna array in free space and on the array carrier is given. The results of the calculation of the root-mean-square values dependence on the frequency, averaged over all the analyzed angles of the radio wave direction of arrival, are presented. The dependences of the root-mean-square value on the azimuth angle of the radio wave direction of arrival for the cases of the antenna array placement on the carrier body and in the free space averaged for all the analyzed signal frequencies were calculated. © Published under licence by IOP Publishing Ltd.

关键词： Antenna arrays

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Intrinsic skyrmions in monolayer Janus magnets

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Physical Review B 2020年第9期101卷 094420-094420页

作者： Jiaren Yuan Yumeng Yang Yongqing Cai Yihong Wu Yuanping Chen Xiaohong Yan Lei Shen (沈雷) Faculty of Science and School of Material Science and Engineering Jiangsu University Zhenjiang 212013 China Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 School of Information Science and Technology ShanghaiTech University Shanghai 201210 China Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau Macau 999078 China Department of Mechanical Engineering and Engineering Science National University of Singapore 9 Engineering Drive 1 Singapore 117542

Skyrmions are localized solitonic spin textures with protected topology, which are promising as information carriers in ultradense and energy-efficient logic and memory devices. Recently, magnetic skyrmions have been observed in magnetic thin films, and are stabilized by the extrinsic interfacial Dzyaloshinskii-Moriya interaction (DMI) and/or external magnetic fields. The specific effects in magnetic monolayer materials have not been thoroughly studied. Here, we investigate the intrinsic magnetic skyrmions in a family of monolayer Janus van der Waals magnets, MnSTe, MnSeTe, VSeTe, and MnSSe, by the first-principles calculations combined with the micromagnetic simulations. The monolayer Janus MnSTe, MnSeTe, and VSeTe with out-of-plane geometric asymmetry and strong spin-orbit coupling have a large intrinsic DMI, which could stabilize a sub-50-nm intrinsic skyrmions in monolayer MnSTe and MnSeTe at zero magnetic field. Whereas a monolayer VSeTe with an in-plane easy axis forms a magnetic domain rather than skyrmions. Moreover, the size and shape of skyrmions can be tuned by an external magnetic field. Therefore, our work motivates a vista for seeking intrinsic skyrmions in atomic-scale magnets.

关键词： Dzyaloshinskii-Moriya interaction Skyrmions Monolayer films Van der Waals systems Density functional calculations First-principles calculations

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An eco-friendly multi-generation system integrating geothermal-driven power and cooling cycles with LNG regasification and hydrogen production: a thermo-economic optimization

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applied Thermal Engineering 2025年 277卷

作者： Almadhor, Ahmad Samad, Sarminah Shaban, Mohamed Abed, Azher M. Alhomayani, Fahad M. Abduvalieva, Dilsora Knani, Salah Alruwaili, Amani Alturise, Fahad Alkhalaf, Salem Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia Department of Management College of Business Administration Princess Nourah bint Abdulrahman University Riyadh11671 Saudi Arabia Department of Physics Faculty of Science Islamic University of Madinah Madinah42351 Saudi Arabia Air Conditioning and Refrigeration Techniques Engineering Department College of Engineering and Technologies Al-Mustaqbal University Babylon51001 Iraq Al - Mustaqbal Center for Energy Research Al-Mustaqbal University Babylon51001 Iraq College of Computers and Information Technology Taif University Saudi Arabia Applied College Taif University Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor Avenue 27 Tashkent100070 Uzbekistan Center for Scientific Research and Entrepreneurship Northern Border University Arar73213 Saudi Arabia Department of Cybersecurity College of Computer Qassim University Buraydah Saudi Arabia Department of Computer Engineering College of Computer Qassim University Buraydah Saudi Arabia Department of Physics College of Science Northern Border University Arar Saudi Arabia

This study develops a multi-generation framework utilizing geothermal energy to produce electricity, hydrogen, and cooling with high efficiency. The system integrates a Kalina cycle (KC) and an organic Rankine cycle (ORC), supported by a thermoelectric generator (TEG) for waste heat recovery and a proton exchange membrane electrolyzer (PEME) for hydrogen production. Geothermal energy is leveraged to optimize resource utilization, while waste heat is repurposed for LNG regasification, achieving full vaporization and additional power generation. Unlike previous works, this study introduces a fully integrated and cascade-utilized configuration that combines multiple thermal subsystems, each optimized in synergy. This approach enhances energy recovery and reduces system-level exergy destruction, representing a unique advancement in geothermal-based multi-generation design. The results reveal that geothermal fluid temperature (TGF) is the most critical parameter influencing the system's performance. Increasing TGF significantly enhances electricity, chilled water, and hydrogen production, improves exergy efficiency, and reduces levelized costs of electricity (LCOE) and hydrogen (LCOH). In contrast, a higher pinch point temperature difference (PPTD) at the KC evaporator reduces power and hydrogen output but increases chilled water production, revealing key trade-offs between thermal efficiency and operational outputs. Moreover, the LNG stream accounts for 40 % of the system's total exergy loss, followed by the KC (20 %) and ORC (18 %), identifying areas for targeted efficiency improvements. Optimization results show that a turbine inlet pressure of 5900 kPa achieves the highest system efficiency at 22.74 %, while genetic algorithm (GA) optimization enhances second-law efficiency to 25.11 % with an operational cost rate of 137.54 $/h. These findings demonstrate the system's ability to maximize energy recovery and improve overall cost-effectiveness, providing valuable insig

关键词： Waste heat utilization

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Finding shortest and nearly shortest path nodes in large substantially incomplete networks

arXiv

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arXiv 2022年

作者： Kitsak, Maksim Ganin, Alexander Elmokashfi, Ahmed Cui, Hongzhu Eisenberg, Daniel A. Alderson, David L. Korkin, Dmitry Linkov, Igor Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft Netherlands Network Science Institute Northeastern University BostonMA02115 United States Department of Systems and Information Engineering University of Virginia CharlottesvilleVA22904 United States U.S. Army Engineer Research and Development Center Contractor Concord MA01742 United States Simula Metropolitan Center for Digital Engineering Oslo Norway Bioinformatics and Computational Biology Program Worcester Polytechnic Institute WorcesterMA01609 United States Institute for Genomic Medicine Columbia University Medical Center New YorkNY United States Operations Research Department Naval Postgraduate School MontereyCA93943 United States Data Science Program Worcester Polytechnic Institute WorcesterMA01609 United States Computer Science Department Worcester Polytechnic Institute WorcesterMA01609 United States U.S. Army Engineer Research and Development Center Environmental Laboratory Concord MA01742 United States

Dynamic processes on networks, be it information transfer in the Internet, contagious spreading in a social network, or neural signaling, take place along shortest or nearly shortest paths. Unfortunately, our maps of most large networks are substantially incomplete due to either the highly dynamic nature of networks, or high cost of network measurements, or both, rendering traditional path finding methods inefficient. We find that shortest paths in large real networks, such as the network of protein-protein interactions (PPI) and the Internet at the autonomous system (AS) level, are not random but are organized according to latent-geometric rules. If nodes of these networks are mapped to points in latent hyperbolic spaces, shortest paths in them align along geodesic curves connecting endpoint nodes. We find that this alignment is sufficiently strong to allow for the identification of shortest path nodes even in the case of substantially incomplete networks. We demonstrate the utility of latent-geometric path finding in problems of cellular pathway reconstruction and communication security. Copyright © 2022, The Authors. All rights reserved.

关键词： Proteins

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