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Optimizing Polynomial-Time Solutions to a Network Weighted Vertex Cover Game

IEEE/CAA Journal of Automatica Sinica 2023年第2期10卷 512-523页

作者： Jie Chen Kaiyi Luo Changbing Tang Zhao Zhang Xiang Li the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004 Yuxi Middle School Taizhou 317399China IEEE the College of Physics and Electronics Information Engineering Zhejiang Normal UniversityJinhua 321004China the College of Mathematics and Computer Science Zhejiang Normal UniversityJinhua 321004China the Adaptive Networks and Control Laboratory Department of Electronic EngineeringFudan UniversityShanghai 200433 the Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous SystemsTongji UniversityShanghai 201210China

Weighted vertex cover(WVC)is one of the most important combinatorial optimization *** this paper,we provide a new game optimization to achieve efficiency and time of solutions for the WVC problem of weighted *** first model the WVC problem as a general game on weighted *** the framework of a game,we newly define several cover states to describe the WVC ***,we reveal the relationship among these cover states of the weighted network and the strict Nash equilibriums(SNEs)of the ***,we propose a game-based asynchronous algorithm(GAA),which can theoretically guarantee that all cover states of vertices converging in an SNE with polynomial ***,we improve the GAA by adding 2-hop and 3-hop adjustment mechanisms,termed the improved game-based asynchronous algorithm(IGAA),in which we prove that it can obtain a better solution to the WVC problem than using a the ***,numerical simulations demonstrate that the proposed IGAA can obtain a better approximate solution in promising computation time compared with the existing representative algorithms.

关键词： Game-based asynchronous algorithm(GAA) game optimization polynomial time strict Nash equilibrium(SNE) weighted vertex cover(WVC)

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EPR-Net: constructing a non-equilibrium potential landscape via a variational force projection formulation

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National Science Review 2024年第7期11卷 135-147页

作者： Yue Zhao Wei Zhang Tiejun Li Center for Data Science Peking University Zuse Institute Berlin Department of Mathematics and Computer Science Freie Universit?t Berlin Laboratory of Mathematics and Applied Mathematics(LMAM)and School of Mathematical Sciences Peking University Center for Machine Learning Research Peking University

We present EPR-Net, a novel and effective deep learning approach that tackles a crucial challenge in biophysics: constructing potential landscapes for high-dimensional non-equilibrium steady-state ***-Net leverages a nice mathematical fact that the desired negative potential gradient is simply the orthogonal projection of the driving force of the underlying dynamics in a weighted inner-product ***, our loss function has an intimate connection with the steady entropy production rate(EPR),enabling simultaneous landscape construction and EPR estimation. We introduce an enhanced learning strategy for systems with small noise, and extend our framework to include dimensionality reduction and the state-dependent diffusion coefficient case in a unified fashion. Comparative evaluations on benchmark problems demonstrate the superior accuracy, effectiveness and robustness of EPR-Net compared to existing methods. We apply our approach to challenging biophysical problems, such as an eight-dimensional(8D)limit cycle and a 52D multi-stability problem, which provide accurate solutions and interesting insights on constructed landscapes. With its versatility and power, EPR-Net offers a promising solution for diverse landscape construction problems in biophysics.

关键词： high-dimensional potential landscape non-equilibrium system entropy production rate dimensionality reduction deep learning

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Advancements in Public Transport: Design and Implementation of an Android-Based Real-Time Bus Tracking System 5

Advancements in Public Transport: Design and Implementation ...

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5th IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2023

作者： Vaishnavi, S. Renish, G. Surendra, T. Kumar, J. Ram Srinivasan, V. PSG Institute of Technology and Applied Research Department of Computer Science and Engineering TamilNadu Coimbatore India Sri Ramakrishna Engineering College Department of Information Technology TamilNadu Coimbatore India Sri Ramakrishna Engineering College Department of Mechanical Engineering TamilNadu Coimbatore India

ISBN: (纸本)9798350338287

In cities, bus transportation is becoming a vital form of transportation. Most people in cities and villages use this form of public transportation. But since nothing in life is flawless, there is one shortcoming with buses as well: passengers must wait too long for the bus to arrive without having knowledge of where the bus is. This shortcoming encourages the use of private vehicles, which leads to an increase in fuel consumption and pollution. People move from one city to another for a variety of reasons, such as education, employment, travel, and so forth;therefore, they may not be familiar with all the locations in the new city. They encounter challenges when trying to visit some of the city's new locations. The Indian Government has initiated the Smart Cities Mission to improve people's living quality in cities and towns by using best practices, information, digital technology, etc. Such people migrating from one city to another face the major problem of finding city buses. As they are new to the city, they are unaware of the city's bus timings and bus numbers. To solve these difficulties, this proposed system of bus app was created. The passengers would benefit from knowing the buses' approximate arrival times so they may schedule their travel accordingly rather than waiting for them. This app provides information on the arrival and departure times of metropolitan city buses and tracks them. Since most people have smartphones, the bus driver's phone was used to track all of the buses along the route and was embedded with the Google Maps API. Users may log in and see all the buses that are close by with live tracking. This smart bus app may help in solving locality identification problems for passengers. © 2023 IEEE.

关键词： Buses

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Design of Low Power Transmission Gate Based 9T SRAM Cell

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computers, Materials & Continua 2022年第7期72卷 1309-1321页

作者： S.Rooban Moru Leela Md.Zia Ur Rahman N.Subbulakshmi R.Manimegalai Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGunturAndhra Pradesh522502India Department of Electronics and Communication Engineering Francis Xavier Engineering CollegeTirunelveliTamil Nadu627003India Department of Computer Science and Engineering PSG Institute of Technology and Applied ResearchCoimbatoreTamil Nadu641062India

Considerable research has considered the design of low-power and high-speed *** integrated circuits with low-power consumption is an important issue due to the rapid growth of high-speed *** static random-access memory(SRAM)units are necessary components in fast mobile *** SRAM cells are more energyconsuming and with lower *** major constraints in SRAM cells are their reliability and low *** objectives of the proposed method are to provide a high read stability,low energy consumption,and better writing abilities.A transmission gate-based multi-threshold single-ended Schmitt trigger(ST)9T SRAM cell in a bit-interleaving structure without a write-back scheme is ***,an ST inverter with a single bit-line design is used to attain the high read stability.A negative assist technique is applied to alter the trip voltage of the single-ended ST *** multithreshold complementary metal oxide semiconductor(MTCMOS)technique is adopted to reduce the leakage power in the proposed single-ended TGST 9T SRAM *** proposed system uses a combination of standard and ST inverters,which results in a large read *** with the previous ST 9T,ST 11T,11T,10T,and 7T SRAM cells,the proposed cell is implemented in Cadence Virtuoso ADE with 45-nm CMOS technology and consumes 35.80%,42.09%,31.60%,12.54%,and 31.60%less energy for read operations and 73.59%,93.95%,92.76%,89.23%,and 85.78%less energy for write operations,respectively.

关键词： Bit-interleaving low power SRAM cell schmitt trigger transmission gate

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On the Computational Determination of the Third Focus of the Cartesian Oval 32

On the Computational Determination of the Third Focus of the...

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32nd Telecommunications Forum, TELFOR 2024

作者： Malesevic, Branko Rosic, Aleksandra Banjac, Bojan Micovic, Milos University of Belgrade School of Electrical Engineering Department of Applied Mathematics Bulevar kralja Aleksandra 73 Belgrade11000 Serbia University of Belgrade Faculty of Mathematics Department of Algebra and Mathematical Logic Studentski trg 16 Belgrade11000 Serbia University of Novi Sad Computer Graphics Chair Faculty of Technical Sciences Trg Dositeja Obradovica 16 Novi Sad21000 Serbia Intens Doo Bulevar Evrope 28 Novi Sad21000 Serbia School of Electrical Engineering University of Belgrade Science and Research Centre Department of Applied Mathematics Bulevar kralja Aleksandra 73 Belgrade11000 Serbia

ISBN: (纸本)9798350391053

In this paper, the correctness of the algebraic determination of the coordinate of the third focus of the Cartesian oval is examined and analysed. This analysis is necessary because the process includes solving systems with a large number of multivariate polynomial equations using the computer algebra system Maple. The paper also considers the difficulties and limitations of using computers in determining the coordinate of the third focus. © 2024 IEEE.

关键词： Polynomials

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Scalable Quantum Photonic Neural Network Processor via Cavity-Assisted Interactions

Scalable Quantum Photonic Neural Network Processor via Cavit...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Basani, Jasvith Raj Niu, Murphy Yuezhen Waks, Edo Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics Joint Quantum Institute University of Maryland College ParkMD20742 United States Department of Computer Science Joint Center for Quantum Information and Computer Science University of Maryland College ParkMD20742 United States

We present an integrated photonic architecture that uses a single atom trapped in a cavity for deterministic high-fidelity quantum operations. Our design is unique in providing a photon-number-selective nonlinearity, ... 详细信息

ISBN: (纸本)9781957171395

关键词： Photonic integrated circuits

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Enhancing the Swanepoel method: precise envelope detection of thin-film transmission spectra

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Optics Express 2025年第6期33卷 13376-13400页

作者： Ballester, Manuel Marquez, Almudena P. Lopez-Tapia, Santiago Fernandez, Susana Bass, John Minkov, Dorian Wuersch, Christoph Willomitzer, Florian Marquez, Emilio Katsaggelos, Aggelos K. Computer Science Department Northwestern University EvanstonIL60208 United States Department of Mathematics Faculty of Science University of Cadiz Puerto Real11510 Spain Department of Electrical and Computer Engineering Northwestern University EvanstonIL60208 United States CIEMAT Avenida Complutense 40 Madrid28040 Spain Wyant College of Optical Sciences University of Arizona TucsonAZ85721 United States Sofia1000 Bulgaria Institute for Computational Engineering ICE OST Eastern Switzerland University of Applied Sciences Switzerland Department of Condensed-matter Physics Faculty of Science University of Cadiz Puerto Real11510 Spain

The Swanepoel method is a widely used optical technique for characterizing thin films through normal-incidence transmission measurements. A critical step in this approach involves extracting the upper and lower envelopes of the measured oscillatory spectrum. By analyzing the transmission spectrum and its corresponding envelopes, the Swanepoel procedure enables precise determination of the film refractive index and extinction coefficient. However, even minor inaccuracies in envelope construction can propagate significant errors into the final characterization results. To address this challenge, we present what we believe to be a novel physics-informed optimization algorithm for envelope detection. Our mathematical model reformulates the envelope detection problem as a global optimization task that enforces the physical properties of the Swanepoel envelopes. Extensive validation on fifty randomly generated transmission spectra demonstrates unprecedented accuracy: the method achieves root-mean-square errors (RMSE) below 0.10% for the upper envelope and 0.06% for the lower envelope (more than doubling the accuracy of current state-of-the-art approaches). Furthermore, the proposed model has been assessed with two experimental transmission spectra, demonstrating its robustness and accuracy with real noisy data. We have developed an open-source Python software package (see text below). This software includes not only our innovative envelope construction algorithm but also additional envelope drawing algorithms for comparison and an efficient implementation of the Swanepoel method, enabling complete optical characterization of thin films. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Mean square error

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Deep Learning Approaches for Recognizing Daily Human Activities Using Smart Home Sensors 8

Deep Learning Approaches for Recognizing Daily Human Activit...

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Joint 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2023

作者： Sanpote, Worrakit Jantawong, Ponnipa Hnoohom, Narit Jitpattanakul, Anuchit Mekruksavanich, Sakorn School of Information and Communication Technology Department of Computer Science University of Phayao Phayao Thailand School of Information and Communication Technology Department of Computer Engineering University of Phayao Phayao Thailand Mahidol University Image Information and Intelligence Laboratory Faculty of Engineering Department of Computer Engineering Nakorn Pathom Thailand King Mongkut's University of Technology North Bangkok Intelligent and Nonlinear Dynamic Innovations Research Center Department of Mathematics Faculty of Applied Science Bangkok Thailand

ISBN: (纸本)9798350396546

Nowadays, one of the most important objectives in health-related research is the improvement of the living condition and well-being of people. Smart home systems can provide health protection for residents based on the results of daily activity recognition. Recent advances and developments in sensor technology have increased the need for sensor-compatible goods and services in smart homes. Consequently, the ever-increasing volume of data requires the field of deep learning (DL) for auto-matic human motion recognition. Recent research has modeled spatiotemporal sequences gathered by smart home sensors using long short-term memory networks. In this work, ResNeXt-based models that learn to classify human activities in smart homes were proposed to improve recognition performance. Experiments conducted on Center for Advanced Studies in Adaptive Systems (CASAS) data, a publicly available benchmark dataset, shows that the proposed ResNeXt-based techniques are significantly superior to the existing DL methods and provide better results compared to the existing literature. The ResNeXt model achieved the averaged accuracy over the benchmark method to 84.81%, 93.57%, and 90.38% for the CASAS-Cairo, CASAS-Milan and CASAS-Kyoto3 datasets, respectively. © 2023 IEEE.

关键词： Deep learning

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Automated analysis of retinal vascular features, age, sex and disc size in a large cohort of primary open angle glaucoma patients

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ACTA OPHTHALMOLOGICA 2025年第S284期103卷

作者： Van Eijgen, Jan Fhima, Jonathan Reiner-Benaim, Anat Beeckmans, Lennert Abramovich, Or Stalmans, Ingeborg Behar, Joachim A. Department of Ophthalmology University Hospitals UZ Leuven Leuven Department of Neurosciences KU Leuven Research Group Ophthalmology Leuven Technion-IIT Faculty of Biomedical Engineering Haifa Israel Technion-IIT Department of Applied Mathematics Haifa Israel Ben-Gurion University of the Negev Department of Epidemiology Biostatistics and Community Health Sciences Beer-Sheva Israel

Aims/Purpose: Deriving vascular features of retinal images is a proposed noninvasive method to assess vascular health. Although several studies have linked cardiovascular risk to retinal image features, they often rely on limited datasets or have used deep learning approaches with limited explainability. This research introduces an end-to-end method for analyzing the retinal vasculature in large retinal image datasets, applied for primary open angle glaucoma (POAG). Methods: 115,237 retinal images of the UZ Leuven Glaucoma Clinic were extracted. 4858 unique images remain of POAG patients ( n = 3010) and controls ( n = 1848) after image quality assessment, optic disk detection, region of interest definition, automated segmentation of arterioles and venules (LUNet algorithm), and parametrization of the vascular biomarkers (PVBM toolbox). Analysis of covariance and linear mixed models were used to adjust for age, sex and disc size. Results: Both arteriolar and venular diameter, area, length, tortuosity, branching angle, endpoints, intersection points and both mono- as multifractal dimension levels are independently lower in POAG patients and older patients (all p < 0.001), after adjustment for sex, disc size and multiple testing. The multivariate linear mixed models additionally show that the vascular features are significantly influenced by sex and disc size, which necessitates correct adjustment. Conclusions: This is the first time a fully automated end-to-end pipeline is published for the analysis of retinal vascular geometry in a large cohort ( n = 4858). Given the independent similarities in retinal vascular geometry changes between older age and POAG prevalence the theory of pronounced vascular ageing in POAG patients is proposed. This novel approach enables quantitative analysis of eye vasculature and supports the study of its correlation with specific diseases, facilitating reproducible analysis of large datasets and providing explainability to deep learning ap

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Cyberattack Aware Load Frequency Control in Power Systems 58

Cyberattack Aware Load Frequency Control in Power Systems

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58th Asilomar Conference on Signals, Systems and computers, ACSSC 2024

作者： Fahim, Shahriar Rahman Atat, Rachad Kececi, Cihat Takiddin, Abdulrahman Ismail, Muhammad Davis, Katherine R. Serpedin, Erchin Texas A&m University Electrical & Computer Engineering Department College StationTX77843 United States Lebanese American University Department of Computer Science & Mathematics Beirut Lebanon Florida State University Department of Electrical & Computer Engineering TallahasseeFL32310 United States Research and Outreach Center Tennessee Tech University Department of Cybersecurity Education CookevilleTN38505 United States

ISBN: (纸本)9798350354058

The load frequency control (LFC) is crucial for stabilizing the frequency of the power grid in the intermittency of renewable energy sources. Modern LFC systems utilize open communication and automation networks that expose power systems to potential cyberattacks, which could lead to frequency instability throughout the network. Current research often treats frequency control and cybersecurity independently, which could lead to ineffective solutions and increased system instability. This paper introduces a cyber-resilient LFC strategy that improves both control performance and security. We employ reinforcement learning for adaptive frequency control and integrate it with a graph convolutional neural network to enhance control responses during a cyberattack event. Our strategy also includes a graph auto encoder-based attack detector that is trained in various scenarios and has shown more than 92% in detection rate while tested on the Iberian power system topology, which includes 486 buses. This highlights the robustness and reliability of our approach in ensuring resilience against cyberattacks within the realm of frequency control in power systems. © 2024 IEEE.

关键词： Graph neural networks

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