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Hamiltonian Feedback Design for Mass Action Law Chemical Reaction Networks

IFAC-papersonLine 2015年第13期48卷 158-163页

作者： György Lipták Gábor Szederkényi Katalin M. Hangos Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary Faculty of Information Technology Peter Pazmany Catholic University Budapest Hungary

A special polynomial state feedback structure is p.o.osed for open chemical reaction networks obeying the mass action law (MAL-CRNs) that stabilizes them for any of their admissible positive set of parameters. The p.o.osed feedback makes the closed-loop system a reversible CRN that enables a generalized Hamiltonian description assuming that their number of reversible reactions is less or equal that the number of species. The design is based on solving a mixed integer linear optimization p.o.lem (MILp). A simple example is used to illustrate the basic concepts and the design method.

关键词： p.o.ess control Hamiltonian control Modelling Chemical Reaction Networks

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Dynamical equivalence and linear conjugacy of biochemical reaction network models

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IFAC p.o.eedings Volumes 2012年第18期45卷 125-130页

作者： G. Szederkényi Z.A. Tuza K.M. Hangos Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute (MTA SZTAKI) Hungarian Academy of Sciences P.O. Box 63 H-1518 Budapest Hungary Faculty of Information Technology Péter Pázmány Catholic University H-1083 Budapest Práter u. 50/a

The distinguishability and identifiability of biological network models are key p.o.erties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.

关键词： biological systems chemical reaction networks optimization

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Safeguarding Against Sybil Attacks via Social Networks and Multipath Routing

Safeguarding Against Sybil Attacks via Social Networks and M...

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International Conference on Communications and Networking in China (CHINACoM)

作者： Chittaranjan Hota M.S.V Srikanth Antti Yla-Jaaski Janne Lindqvist K. Kristiina Computer Science and Information Systems Group Birla Institute of Technology and Science Pilani Pilani Rajasthan INDIA Birla Institute of Technology and Science Pilani Rajasthan IN Telecommunications Software & Multimedia Laboratory Helsinki University of Technology Helsinki FINLAND Telecommunications Software & Multimedia Laboratory Helsinki University of Technology TKK P.O. Box 5400 Helsinki FINLAND. kk@tml.hut.fi

peer-to-peer (p2p) overlay networks are currently being used to build large scale distributed systems running various decentralized applications like distributed storage, content distribution, collaborative scheduling, and leader election. Although we have p.o.ocols like Byzantine agreement, voting schemes etc. for building resilient distributed applications; we have very few solutions available for safeguarding these distributed p.o.ocols from Sybil attacks. In a Sybil attack, an adversary could forge multiple identities and create multiple, distinct nodes in the system hence overthrowing any upper bound on number of malicious nodes in these p.o.ocols. In this paper, we present a multipath routing p.o.ocol using graph theoretic app.o.ch to group the Sybil nodes first and then to poll them using host identity p.o.ocol (HIp) to decide upon whether they really belong to a Sybil group. HIp clearly separates participating users from overlay nodes. It overcomes p2p network challenges like stability over time and identity differentiation. We also use a social network where the attack edges are minimum. An attack edge between a malicious user and an honest user indicates that the malicious user is able to establish a trust relationship with the honest user by some means. We perform simulations to show the feasibility of our distributed p.o.ocol.

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Remote operations sup.o.t system for on-line analyzer

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IFAC p.o.eedings Volumes 2000年第22期33卷 419-423页

作者： Marko Mattila Kari Koskinen Kari Saloheimo Information and Computer Systems in Automation Helsinki University of Technology P.O.Box 5400 FIN-02015 HUT Finland tel. +358 9 451 5224 fax +358 9 451 5394 Outokumpu Mintec Oy P.O.Box 84 FIN-02201 Espoo Finland tel. +358 9 421 35 62 fax +358 9 421 31 56

Remote, telecommunications based sup.o.t for p.o.ess equipment operation and maintenance can offer substantial benefits for the end-user in terms of imp.o.ed up¬time and better quality of operation. Equipment vendors can utilize this kind of facility to imp.o.e their after-sales services for the end-user. A remote operations sup.o.t system has been designed and realized. The p.o.otype system has been applied to and experimented with an on-line X-ray fluorescence analyzer manufactured by outokumpu Mintec oy. The system comprises software modules in the analyzer operating station end and in the remote expert station end. The communications between both ends uses TCp/Ip p.o.ocol and the communications media can be Internet, or wired and/or wireless or satellite-based telep.o.y network.

关键词： remote sup.o.t remote maintenance remote diagnostics technical sup.o.t CoM opC Internet XML VpN

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A Scalable Deep Attention Mechanism of Instance Segmentation for the Investigation of Chromosome

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SLAS technology 2025年 100306页

作者： Neelam Umbreen Sara Ali Hasan Sajid Yasar Ayaz Shrooq Alsenan Yunyoung Nam So Yeon Kim Muhammad Baber Sial National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan Suzhou Industrial Park (SIP) Monash Research Institute of Science and Technology Monash University 8Q9C+R6W Suzhou Jiangsu China. School of Mechanical and Manufacturing Engineering (SMME) National University of Sciences and Technology (NUST) Islamabad NUST-COVENTRY Human-Robot Interaction (NC-HRI) Laboratory Pakistan Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: sarababer@smme.nust.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: hasan.sajid@smme.nust.edu.pk. Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: yasar@smme.nust.edu.pk. Information Systems Department College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia. Electronic address: shalsenan@pnu.edu.sa. Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang University Asan 31538 Korea. Electronic address: ynam@sch.ac.kr. Department of Artificial Intelligence Department of Software and Computer Engineering Ajou University. Electronic address: jebi1771@ajou.ac.kr. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Electronic address: babersial@***.

Chromosome segmentation in metaphase images is a critical yet challenging task in cytogenetics and genomics due to the inherent complexity, variability in chromosome shapes, and the scarcity of high-quality annotated datasets. This study p.o.oses a robust instance segmentation framework that integrates an automated annotation pipeline with an enhanced deep learning architecture to address these challenges. A novel dataset is introduced, comprising metaphase images and corresponding karyograms, annotated with precise instance segmentation information across 24 chromosome classes in CoCo format. To overcome the labor-intensive manual annotation p.o.ess, a feature-based image registration technique leveraging SIFT and homography is emp.o.ed, enabling the accurate mapping of chromosomes from karyograms to metaphase images and significantly imp.o.ing annotation quality and segmentation performance. The p.o.osed framework includes a custom Mask R-CNN model enhanced with an Attention-based Feature pyramid Network (AttFpN), spatial attention mechanisms, and a LastLevelMaxp.o. block for superior multi-scale feature extraction and focused attention on critical regions of the image. Experimental evaluations demonstrate the model's efficacy, achieving a mean average precision (mAp) of 0.579 at IoU = 0.50:0.95, surpassing the baseline Mask R-CNN and Mask R-CNN with AttFpN by 3.94% and 5.97% imp.o.ements in mAp and Ap50, respectively. Notably, the p.o.osed architecture excels in segmenting small and medium-sized chromosomes, addressing key limitations of existing methods. This research not only introduces a state-of-the-art segmentation framework but also p.o.ides a benchmark dataset, setting a new standard for chromosome instance segmentation in biomedical imaging. The integration of automated dataset creation with advanced model design offers a scalable and transferable solution, paving the way for tackling similar challenges in other domains of biomedical and cytogenetic imagi

关键词： Chromosome segmentation Instance segmentation, cytogenetics Mask R-CNN attention mechanism biomedical imaging multi-scale feature fusion

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Robust guaranteed cost control for uncertain discrete time-delay systems via dynamic output feedback

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systems Analysis Modelling Simulation 2003年第12期43卷 1717-1727页

作者： Guan, X.p. Shi, p. Liu, Y.C. Shi, Y. Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Land Operations Division Defence Science and Technology Organization P.O. Box 1500 Edinburgh SA 5111 Australia Department of Automation and Computer-Aided Engineering Chinese University of Hong Kong Shatin N.T. Hong Kong Department of Information and Systems Engineering School of Engineering Kyushu Tokai University 9-1-1 Toroku Kumamoto 862-86852 Japan

The p.o.lem of robust guaranteed cost control for a class of time-varying uncertain discrete delay systems is studied. The guaranteed cost control law is implemented by using a dynamic output feedback compensator. The p.o.osed methods are given in terms of linear matrix inequalities (LMIs). A numerical example is given to demonstrate the effectiveness of the p.o.osed methods.

关键词： Discrete time control systems

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Topological changes in the magnetic field of LQ Hya during an activity minimum

arXiv

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arXiv 2019年

作者： Lehtinen, Jyri J. Käpylä, Maarit J. Hackman, Thomas Kochukhov, oleg Willamo, Teemu Marsden, Stephen C. Jeffers, Sandra V. Henry, Gregory W. Jetsu, Lauri University of Turku University of Turku Vesilinnantie 5 FI-20014 Finland Department of Physics University of Helsinki P.O. Box 64 FI-00014 Finland Department of Computer Science Aalto University PO Box 15400 AaltoFI-00076 Finland Max Planck Institute for Solar System Research Justus-von-Liebig-Weg 3 GöttingenD-37077 Germany Nordita KTH Royal Institute of Technology Stockholm University Hannes Alfvéns väg 12 StockholmSE-10691 Sweden Department Physics and Astronomy Uppsala University Box 516 Uppsala751 20 Sweden University of Southern Queensland Centre for Astrophysics ToowoombaQLD4350 Australia Center of Excellence in Information Systems Tennessee State University NashvilleTN37209 United States

Aims. previous studies have related surface temperature maps, obtained with the Doppler imaging (DI) technique, of LQ Hya with long-term p.o.ometry. Here, we will compare surface magnetic field maps, obtained with the Zeeman Doppler imaging (ZDI) technique, with contemporaneous p.o.ometry, with the aim of quantifying the star's magnetic cycle characteristics. Methods. We inverted Stokes IV spectropolarimetry, obtained with the HARpSpol and ESpaDonS instruments, into magnetic field and surface brightness maps using a tomographic inversion code that models high signal-to-noise ratio mean line p.o.iles p.o.uced by the least squares deconvolution (LSD) technique. The maps were compared against long-term ground-based p.o.ometry acquired with the T3 0.40 m Automatic p.o.oelectric Telescope (ApT) at Fairborn observatory, which offers a p.o.y for the spot cycle of the star, as well as with chromospheric Ca ii H&K activity derived from the observed spectra. Results. The magnetic field and surface brightness maps reveal similar patterns relative to previous DI and ZDI studies: non-axisymmetric polar magnetic field structure, void of fields at mid-latitudes, and a complex structure in the equatorial regions. There is a weak but clear tendency of the polar structures to be linked with a strong radial field and the equatorial ones with the azimuthal field. We find a polarity reversal in the radial field between 2016 and 2017 that is coincident with a spot minimum seen in the long-term p.o.ometry, although the precise relation of chromospheric activity to the spot activity remains complex and unclear. The inverted field strengths cannot be easily related with the observed spottedness, but we find that they are partially connected to the retrieved field complexity. Conclusions. This field topology and the dominance of the poloidal field component, when compared to global magnetoconvection models for rapidly rotating young suns, could be explained by a turbulent dynamo, where diffe

关键词： p.o.ometry

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Roadmap.o. Quantum Thermodynamics

arXiv

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arXiv 2025年

作者： Campbell, Steve D’Amico, Irene Ciampini, Mario A. Anders, Janet Ares, Natalia Artini, Simone Auffèves, Alexia oftelie, Lindsay Bassman Bettmann, Laetitia p. Bonança, Marcus V.S. Busch, Thomas Campisi, Michele Cavalcante, Moallison F. Correa, Luis A. Cuestas, Eloisa Dag, Ceren B. Dago, Salambô Deffner, Sebastian Del Campo, Adolfo Deutschmann-olek, Andreas Donadi, Sandro Doucet, Emery Elouard, Cyril Ensslin, Klaus Erker, paul Fabbri, Nicole Fedele, Federico Fiusa, Guilherme Fogarty, Thomás Folk, Joshua Guarnieri, Giacomo Hegde, Abhaya S. Hernández-Gómez, Santiago Hu, Chang-Kang Iemini, Fernando Karimi, Bayan Kiesel, Nikolai Landi, Gabriel T. Lasek, Aleksander Lemziakov, Sergei Monaco, Gabriele Lo Lutz, Eric Lvov, Dmitrii Maillet, olivier Mehboudi, Mohammad Mendonça, Taysa M. Miller, Harry J.D. Mitchell, Andrew K. Mitchison, Mark T. Mukherjee, Victor paternostro, Mauro pekola, Jukka perarnau-Llobet, Martí poschinger, Ulrich Rolandi, Alberto Rosa, Dario Sánchez, Rafael Santos, Alan C. Sarthour, Roberto S. Sela, Eran Solfanelli, Andrea Souza, Alexandre M. Splettstoesser, Janine Tan, Dian Tesser, Ludovico Van Vu, Tan Widera, Artur Halpern, Nicole Yunger Zawadzki, Krissia School of Physics University College Dublin Belfield Dublin 4 Ireland Centre for Quantum Engineering Science and Technology University College Dublin Dublin 4 Ireland School of Physics Engineering and Technology University of York York United Kingdom York Centre for Quantum Technologies University of York York United Kingdom Boltzmanngasse 5 ViennaA-1090 Austria Institute of Physics and Astronomy University of Potsdam Potsdam14476 Germany Department of Physics and Astronomy University of Exeter ExeterEX4 4QL United Kingdom Department of Engineering Science University of Oxford Parks Road OxfordOX1 3PJ United Kingdom Università degli Studi di Palermo Dipartimento di Fisica e Chimica - Emilio Segrè via Archirafi 36 PalermoI-90123 Italy MajuLab CNRS-UCA-SU-NUS-NTU International Joint Research Laboratory France Centre for Quantum Technologies National University of Singapore Singapore117543 Singapore NEST Istituto Nanoscienze-CNR and Scuola Normale Superiore Pisa56127 Italy School of Physics Trinity College Dublin College Green Dublin 2 Ireland Gleb Wataghin Physics Institute The University of Campinas Campinas São Paulo13083-859 Brazil Quantum Systems Unit OIST Graduate University Okinawa Onna904-0495 Japan Department of Physics University of Maryland Baltimore County BaltimoreMD21250 United States Quantum Science Institute University of Maryland Baltimore County BaltimoreMD21250 United States Universidad de La Laguna La Laguna38203 Spain Departamento de Física Universidad de La Laguna La Laguna38203 Spain Jülich54245 Germany Department of Physics Indiana University BloomingtonIN47405 United States Department of Physics Harvard University 17 Oxford Street CambridgeMA02138 United States National Quantum Laboratory College ParkMD20740 United States Department of Physics and Materials Science University of Luxembourg LuxembourgL-1511 Luxembourg Donostia International Physics Center San SebastianE-20018 Spain Au

The last two decades has seen quantum thermodynamics become a well established field of research in its own right. In that time, it has demonstrated a remarkably broad applicability, ranging from p.o.iding foundational advances in the understanding of how thermodynamic principles apply at the nano-scale and in the presence of quantum coherence, to p.o.iding a guiding framework for the development of efficient quantum devices. Exquisite levels of control have allowed state-of-the-art experimental platforms to exp.o.e energetics and thermodynamics at the smallest scales which has in turn helped to drive theoretical advances. This Roadmap p.o.ides an overview of the recent developments across many of the field’s sub-disciplines, assessing the key challenges and future p.o.pects, p.o.iding a guide for its near term p.o.ress. Copyright © 2025, The Authors. All rights reserved.

关键词： Temperature

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FAIR for AI: An interdisciplinary and international community building perspective

arXiv

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arXiv 2022年

作者： Huerta, E.A. Blaiszik, Ben Brinson, L. Catherine Bouchard, Kristofer E. Diaz, Daniel Doglioni, Caterina Duarte, Javier M. Emani, Murali Foster, Ian Fox, Geoffrey Harris, philip Heinrich, Lukas Jha, Shantenu Katz, Daniel S. Kindratenko, Volodymyr Kirkpatrick, Christine R. Lassila-perini, Kati Madduri, Ravi K. Neubauer, Mark S. p.o.opoulos, Fotis E. Roy, Avik Rübel, oliver Zhao, Zhizhen Zhu, Ruike Data Science and Learning Division Argonne National Laboratory LemontIL60439 United States Department of Computer Science University of Chicago ChicagoIL60637 United States Globus University of Chicago ChicagoIL60637 United States Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Scientific Data Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Biological Systems & Engineering Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Helen Wills Neuroscience Institute University of California Berkeley BerkeleyCA94720 United States Department of Physics University of California La Jolla San DiegoCA92093 United States Lund University Department of Physics Box 118 Lund221 00 Sweden School of Physics & Astronomy The University of Manchester ManchesterM13 9PL United Kingdom Leadership Computing Facility Argonne National Laboratory LemontIL60439 United States Biocomplexity Institute Department of Computer Science University of Virginia CharlottesvilleVA22904 United States Department of Physics Massachusetts Institute of Technology CambridgeMA02139 United States Technical University Munich Arcisstraße 21 München80333 Germany Computational Science Initiative Brookhaven National Laboratory UptonNY11973 United States Electrical and Computer Engineering Rutgers The State University of New Jersey PiscatawayNJ08854 United States National Center for Supercomputing Applications University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Computer Science University of Illinois at Urbana-Champaign UrbanaIL61801 United States Department of Electrical & Computer Engineering University of Illinois at Urbana-Champaign UrbanaIL61801 United States School of Information Sciences University of Illinois at Urbana-Champaign UrbanaIL61801 United States San Diego Supercomputer Center University of California La Jolla San DiegoCA

A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were p.o.osed in 2016 as prerequisites for p.o.er data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles were also meant to apply to other digital assets, at a high level, and over time, the FAIR guiding principles have been reinterpreted or extended to include the software, tools, algorithms, and workflows that p.o.uce data. FAIR principles are now being adapted in the context of AI models and datasets. Here, we present the perspectives, vision, and experiences of researchers from different countries, disciplines, and backgrounds who are leading the definition and adoption of FAIR principles in their communities of practice, and discuss outcomes that may result from pursuing and incentivizing FAIR AI research. The material for this report builds on the FAIR for AI Workshop held at Argonne National Laboratory on June 7, 2022. Copyright © 2022, The Authors. All rights reserved.

关键词： information management

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