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Iranian Conference of Biomedical engineering (ICBME)

作者： Saeed Solouki Fariba Bahrami Mahyar Janahmadi CIPCE Human Motor Control and Computational Neuroscience Laboratory School of ECE College of Engineering University of Tehran Tehran Iran Neuroscience Research Center and Department of Physiology School of Medicine Shahid Beheshti University of Medical Sciences Tehran Iran

ISBN: (纸本)9781538679531;9781538679524

The optokinetic reflex (OKR) is a behavioral oculomotor response which serves to stabilize moving images on the retina. As the cerebellum is intimately involved in the adaptive control of such compensatory eye movement, the OKR has been turned to a favorable test bed for modeling and assessing cerebellar learning function. Learning process in the cerebellum consists of two distinct phases: 1) short-term learning, which is acquired by single session of behavioral training and disappears within 24 hours, and 2) long-term learning which is induced by repeating sessions and persists for days. On the other hand, emerging evidences from experimental studies indicates high level of coordination between olivary system activity and cerebellar learning. However, it is still unclear which phase of learning will be affected by olivary system disruption. In this paper, we proposed a simple model for learning adaptation and memory formation of the cerebellum. The model is capable to reproduce the OKR gain adaptation of eye movement in both long and short term phases. The simulation results were found to strongly agree with previously reported experimental data from wild type mice. As a second step, we explore the effects of irreversible olivary system lesion on the gain adaptability of OKR by cutting off the connection of climbing fiber, which originates from the inferior olive (IO) neuron. Thereafter, comparing to the normal case, the gain of OKR undergoes a significant decline in both short and long phases of learning. This suggests that the olivary system plays a critical role in both short-and long-term adaption of OKR.

关键词： Training Adaptation models Synapses Brain modeling Cerebellum Lesions Mice

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Universal quantum computation with temporal-mode bilayer square lattices

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Physical Review A 2018年第3期97卷 032302-032302页

作者： Rafael N. Alexander Shota Yokoyama Akira Furusawa Nicolas C. Menicucci Center for Quantum Information and Control University of New Mexico MSC07-4220 Albuquerque New Mexico 87131-0001 USA Department of Physics University of Virginia Charlottesville Virginia 22903 USA Centre for Quantum Computation and Communication Technology School of Science RMIT University Melbourne Victoria 3001 Australia Centre of Quantum Computation and Communication Technology School of Engineering and Communication Technology University of New South Wales Canberra Australian Capital Territory 2600 Australia Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan

We propose an experimental design for universal continuous-variable quantum computation that incorporates recent innovations in linear-optics-based continuous-variable cluster state generation and cubic-phase gate teleportation. The first ingredient is a protocol for generating the bilayer-square-lattice cluster state (a universal resource state) with temporal modes of light. With this state, measurement-based implementation of Gaussian unitary gates requires only homodyne detection. Second, we describe a measurement device that implements an adaptive cubic-phase gate, up to a random phase-space displacement. It requires a two-step sequence of homodyne measurements and consumes a (non-Gaussian) cubic-phase state.

关键词： Quantum information processing with continuous variables

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Novel multi-agent models for chemical self-assembly

arXiv

引用

arXiv 2018年

作者： Ning, Zheng Chen, Ge Bullo, Francesco National Center for Mathematics and Interdisciplinary Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing100049 China Department of Mechanical Engineering Center of Control Dynamical-Systems and Computation University of California at Santa Barbara CA93106-5070 United States

The chemical self-assembly has been considered as one of most important scientific problems in the 21th Century;however, since the process of self-assembly is very complex, there is few mathematic theory for it currently. This paper provides a novel multi-agent model for chemical self-assembly, where the interaction between agents adopts the classic Lennard-Jones potential. Under this model, we propose an optimal problem by taking the temperature as the control input, and choosing the internal energy as the optimal object. A numerical solution for our optimal problem is also developed. Simulations show that our control scheme can improve the product of self-assembly. Further more, we give a strict analysis for the self-assembly model without noise, which corresponds to an attraction-repulsion multi-agent system, and prove it converges to a stable configuration eventually. Copyright © 2018, The Authors. All rights reserved.

关键词： Multi agent systems

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Study of low-cost IoT application for industry 4.0 using NodeMCU ESP8266 module

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AIP Conference Proceedings 2019年第1期2088卷

作者： Andi Rahmadiansah Sasangka Wira Utama Wirayusa 1Department of Engineering Physics Center of Excellent in Automotive Control & System (PUI-SKO) Sepuluh Nopember Institute of Technology. Surabaya Indonesia 2Department of Engineering Physics Computation & Cyber-Physical System Laboratory Sepuluh Nopember Institute of Technology. Surabaya Indonesia

Currently the application of Industry 4.0 is being promoted in Indonesia, among others, in systems in industry, medical, transportation, agriculture, and public services. This has encouraged the implementation of The Internet of Things (IoT) technology. The implementation of IoT in the industry there is no price problem, but in the low profit sectors the use of the industry standard IoT system is a problem. Therefore, this paper will provide the results of the study on the use of Low-Cost IoT. The most important parameter of an IoT system is the performance of sending data from the device to the server and reversing from the server to the user. IoT devices use the NodeMCU ESP8266 module on the Ubidots platform for free. Based on the design that has been carried out, the delivery time performance of IoT to Server devices for fiber optic media and 4G cellular operators is 1-2 milliseconds and 2-7 milliseconds respectively. This value according to the standard is still very good even though using unpaid services.

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Can we represent the depreobesity genetically?

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Obesity Medicine 2020年 19卷 100273-100273页

作者： Mediouni, Mohamed Bergantin, Leandro Bueno Madiouni, Riadh Kaczor-Urbanowicz, Karolina Elżbieta Urbanowicz, Andrzej 1420 Rue Laterrière Sherbrooke J1K 2R2 QC Canada Department of Pharmacology Universidade Federal de São Paulo Brazil University of Paris-Est Créteil Vitry sur Seine France Center for Oral and Head/Neck Oncology Research UCLA Section of Oral Biology Division of Oral Biology & Medicine Center for the Health Sciences UCLA School of Dentistry University of California at Los Angeles 10833 Le Conte Ave Box 951668 Los Angeles 90095-1668 CA United States UCLA Institute for Quantitative and Computational Biosciences University of California at Los Angeles 611 Charles E. Young Drive Boyer Hall 570 Box 951570 Los Angeles 90095-1606 CA United States Institute of Control and Computation Engineering Warsaw University of Technology Ul. Nowowiejska 15/19 Warsaw 00-665 Poland

Obesity and depression are serious public health problems and cause death in the world. In this article, we will study the concept of depreobesity that explains the depression in the context of obesity and vice versa. We will review whether animals can be used to understand the interrelationship between obesity and depression. We will propose saliva as a translational paradigm to predict the depreobesity. Policymakers need to identify new strategies for depreobesity by understanding the complexity of shared biology (depression-obesity). Perspectives for the future are promising. © 2020 Elsevier Ltd

关键词： Depreobesity Depression Genes Obesity Saliva

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Effects of drug resistance in the tumour-immune system with chemotherapy treatment

arXiv

引用

arXiv 2020年

作者： Trobia, José Gabrick, Enrique C. Seifert, Evandro G. Borges, Fernando S. Protachevicz, Paulo R. Szezech, José D. Iarosz, Kelly C. Santos, Moises S. Caldas, Iberê L. Tian, Kun Ren, Hai-Peng Grebogi, Celso Batista, Antonio M. Graduate Program in Science - Physics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Department of Mathematics and Statistics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Department of Physics State University of Ponta Grossa Ponta GrossaPR84030-900 Brazil Center for Mathematics Computation and Cognition Federal University of ABC São Bernardo do CampoSP09606-045 Brazil Institute of Physics University of São Paulo São PauloSP05508-900 Brazil Faculty of Telêmaco Borba FATEB Telêmaco BorbaPR84266-010 Brazil Graduate Program in Chemical Engineering Federal Technological University of Paraná Ponta Grossa Paraná84016-210 Brazil Shaanxi Key Lab of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China Xi’an Technological University Xi’an710021 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom

Cancer is a term used to refer to a large set of diseases. The cancerous cells grow and divide and, as a result, they form tumours that grow in size. The immune system recognise the cancerous cells and attack them, though, it can be weakened by the cancer. One type of cancer treatment is chemotherapy, which uses drugs to kill cancer cells. Clinical, experimental, and theoretical research has been developed to understand the dynamics of cancerous cells with chemotherapy treatment, as well as the interaction between tumour growth and immune system. We study a mathematical model that describes the cancer growth, immune system response, and chemotherapeutic agents. The immune system is composed of resting cells that are converted to hunting cells to combat the cancer. In this work, we consider drug sensitive and resistant cancer cells. We show that the tumour growth can be controlled not only by means of different chemotherapy protocols, but also by the immune system that attacks both sensitive and resistant cancer cells. Furthermore, for all considered protocols, we demonstrate that the time delay from resting to hunting cells plays a crucial role in the combat against cancer cells. Copyright © 2020, The Authors. All rights reserved.

关键词： Chemotherapy

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A necessary and sufficient condition for total observability of discrete-time linear time-varying systems

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IFAC-PapersOnLine 2017年第1期50卷 729-734页

作者： Witczak M. Puig V. Rotondo D. Witczak P. Institute of Control and Computation Engineering University of Zielona Góra Zielona Góra 65-254 Poland Department of Automatic Control (ESAU) Technical University of Catalonia Edifici U Despatx 525 (Campus Sud)Pau Gargallo 5 Barcelona 08028 United Kingdom Center for Autonomous Marine Operations and Systems (AMOS) Department of Engineering Cybernetics Norwegian University of Science and Technology (NTNU) Trondheim Norway

This paper deals with the total observability problem of discrete-time linear time-varying systems. In particular, a review and suitable analysis of the state-of-the-art of this emerging area are provided. Subsequently, the total observability problem of discrete-time linear time-varying systems is transformed into the one of checking the rank of a convex sum of matrices. As a result, a new total observability test is proposed, along with a suitable computational strategy. The final part of this paper shows examples regarding observability analysis that clearly exhibit the benefits of using the proposed approach. © 2017

关键词： block P-matrices discrete-time systems linear time-varying systems observability

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Synchronization of Kuramoto Oscillators via Cutset Projections

arXiv

引用

arXiv 2017年

作者： Jafarpour, Saber Bullo, Francesco Mechanical Engineering Department Center of Control Dynamical-Systems and Computation UC Santa BarbaraCA93106-5070 United States

—Synchronization in coupled oscillators networks is a remarkable phenomenon of relevance in numerous fields. For Kuramoto oscillators the loss of synchronization is determined by a trade-off between coupling strength and oscillator heterogeneity. Despite extensive prior work, the existing sufficient conditions for synchronization are either very conservative or heuristic and approximate. Using a novel cutset projection operator, we propose a new family of sufficient synchronization conditions;these conditions rigorously identify the correct functional form of the trade-off between coupling strength and oscillator heterogeneity. To overcome the need to solve a nonconvex optimization problem, we then provide two explicit bounding methods, thereby obtaining (i) the best-known sufficient condition for unweighted graphs based on the 2-norm, and (ii) the first-known generally-applicable sufficient condition based on the ∞-norm. We conclude with a comparative study of our novel ∞-norm condition for specific topologies and IEEE test cases;for most IEEE test cases our new sufficient condition is one to two orders of magnitude more accurate than previous rigorous tests. Copyright © 2017, The Authors. All rights reserved.

关键词： Synchronization

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Linear stochastic approximation algorithms and group consensus over random signed networks: A technical report with all proofs

arXiv

引用

arXiv 2017年

作者： Chen, Ge Duan, Xiaoming Mei, Wenjun Bullo, Francesco National Center for Mathematics and Interdisciplinary Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Department of Mechanical Engineering Center of Control Dynamical-Systems and Computation University of California at Santa BarbaraCA93106-5070 United States

This paper studies linear stochastic approximation (SA) algorithms and their application to multi-agent systems in engineering and sociology. As main contribution, we provide necessary and sufficient conditions for convergence of linear SA algorithms to a deterministic or random final vector. We also characterize the system convergence rate, when the system is convergent. Moreover, differing from non-negative gain functions in traditional SA algorithms, this paper considers also the case when the gain functions are allowed to take arbitrary real numbers. Using our general treatment, we provide necessary and sufficient conditions to reach consensus and group consensus for first-order discrete-time multi-agent system over random signed networks and with state-dependent noise. Finally, we extend our results to the setting of multi-dimensional linear SA algorithms and characterize the behavior of the multi-dimensional Friedkin- Johnsen model over random interaction networks. Copyright © 2017, The Authors. All rights reserved.

关键词： Multi agent systems

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On the dynamics of deterministic epidemic propagation over networks

arXiv

引用

arXiv 2017年

作者： Mei, Wenjun Mohagheghi, Shadi Zampieri, Sandro Bullo, Francesco Department of Mechanical Engineering and Center for Control Dynamical Systems and Computation University of California Santa Barbara Santa BarbaraCA93106 United States Department of Electrical and Computer Engineering University of California at Santa Barbara Santa BarbaraCA93106 United States Department of Information Engineering University of Padova Italy

In this work we review a class of deterministic nonlinear models for the propagation of infectious diseases over contact networks with strongly-connected topologies. We consider network models for susceptible-infected (SI), susceptible-infected-susceptible (SIS), and susceptible-infected-recovered (SIR) settings. In each setting, we provide a comprehensive nonlinear analysis of equilibria, stability properties, convergence, monotonicity, positivity, and threshold conditions. For the network SI setting, specific contributions include establishing its equilibria, stability, and positivity properties. For the network SIS setting, we review a well-known deterministic model, provide novel results on the computation and characterization of the endemic state (when the system is above the epidemic threshold), and present alternative proofs for some of its properties. Finally, for the network SIR setting, we propose novel results for transient behavior, threshold conditions, stability properties, and asymptotic convergence. These results are analogous to those well-known for the scalar case. In addition, we provide a novel iterative algorithm to compute the asymptotic state of the network SIR system. Copyright © 2017, The Authors. All rights reserved.

关键词： Nonlinear dynamical systems

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