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arXiv 2025年

作者： Gong, Luqi Chen, Haotian Chen, Yikun Yao, Tianliang Li, Chao Zhao, Shuai Han, Guangjie School of Computer Science Beijing University of Posts and Telecommunications Beijing China Research Center for Space Computing System Zhejiang Lab Hangzhou China SWJTU-LEEDS Joint School Southwest Jiaotong University Chengdu China Guangdong Zhiyun City construction Technology Co. LTD Zhuhai China Department of Control Science and Engineering College of Electronic and Information Engineering Tongji University Shanghai China Key Laboratory of Maritime Intelligent Network Information Technology Ministry of Education Hohai University China

In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, particularly for small objects. However, simply enlarging images significantly increases computational costs and the number of negative samples, severely degrading detection performance and limiting its applicability. This paper proposes a Dynamic Pooling Network (DPNet) for tiny object detection to mitigate these issues. DPNet employs a flexible down-sampling strategy by introducing a factor (df) to relax the fixed downsampling process of the feature map to an adjustable one. Furthermore, we design a lightweight predictor to predict df for each input image, which will be used to decrease the resolution of feature map in backbone. Thus, we achieve input-aware downsampling. We design an Adaptive Normalization Module (ANM) to make a unified detector well compatible with different dfs. At the same time, we also design a guidance loss to supervise the predictor’s training. DPNet realizes the dynamic allocation of computing resources to trade off detection accuracy and efficiency through this. Experiments on the TinyCOCO and TinyPerson datasets show that our DPNet can save over 35% and 25% GFLOPs, respectively, while maintaining comparable detection *** code will be made publicly available. Copyright © 2025, The Authors. All rights reserved.

关键词： Image coding

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Digital Generators and Consumers Buying Behavior

Digital Generators and Consumers Buying Behavior

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International Conference on Computing, Mathematics and engineering Technologies (iCoMET)

作者： Liu Dunnan Khalid Jamil Usama Abrar Sadaqat Ali Fazal Hussain Awan Shafaat Ali School of Economics and Management North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China Department of Electrical Engineering Sukkur IBA University Sukkur Pakistan School of Electrical and Electronics Engineering North China Electric Power University Beijing China

ISBN: (数字)9781728149707

ISBN: (纸本)9781728149714

The recent energy crises in Pakistan lead domestic user to buy their own set of generators. Domestic generators help consumers to tackle both scheduled and unplanned power outages. Energy crises open market for 1KVA-6KVA generator. The digital generators have ability to run at variable speed that makes them more efficient and hence produce less noise. But still conventional generators are foremost choice of buyers in Pakistan. Consumer's buying etiquettes have been conditioning by advertisements. Advertisements are functional for putting up apprehension, educating customers about new technology e.g; digital generators and perceiving customers of trade stores. One of the greatest operations of advertisements is to make customers alert of retail stores where both the elements upshot consumer's buying behavior. This framework is a result of 120 consumers from Faisalabad who use digital generators. Regression analysis was drawn in to identify the relation between the variables, i.e. advertisement, consumer knowledge, consumer perception and consumer buying behavior. Conclusions provide an advanced method for the managers that help them out in designing a relevant strategy for marketing retail stores. The studies show that consumers do not generate strong perceptions, but it considers advertisements as a strong tool for enhancing awareness among them. This research is going to assist the higher management of heavy electrical industries in initiating steps where customers get attracted toward their manufactured products.

关键词： Generators Power systems Companies Consumer electronics Media Economics Regression analysis

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Formation control for Mobile Robot using Fuzzy - PI controller

Formation Control for Mobile Robot using Fuzzy - PI Controll...

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International Conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： Min-Fan Ricky Lee H.P.M Willybrordus Sukamto Sharfiden Hassen Asep Nugroho National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan College of Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei Taiwan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (数字)9781728198231

ISBN: (纸本)9781728198248

Protecting soldiers in the long march of platoon formation is crucial mission in the military operation. Autonomous ground mobile robots can be deployed to carry out such kind of the mission. The primary task is maintaining robot position automatically based on the movement of soldier in a platoon formation. The GPS is employed to determine the soldier current pose. This information is used as an input to create a dynamic convex hull around a platoon. The Proportional-Integral (PI) controller is applied to control each robot so it can move in a desired trajectory. The fuzzy logic control (FLC) is involved to tune the gain of PI controller to optimize the performance. Three protective robots and nine soldiers are used to evaluate the algorithm in simulation. The proposed algorithm will provide a platoon soldiers with optimal protection encirclement and enhance their safety. The simulation results show good performance using the proposed controller.

关键词： Robot kinematics Mobile robots Wheels Task analysis Fuzzy logic Kinematics

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PID2018 Benchmark Challenge: Model Predictive control With Conditional Integral control Using A General Purpose Optimal control Problem Solver – RIOTS.

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IFAC-PapersOnLine 2018年第4期51卷 882-887页

作者： Dehghan, Sina T., Zhao Y., Zhao J., Yuan A., Ates Y., Chen University of California Merced MercedCA95340 United States School of Control Science and Engineering Shandong University JinanShandong250061 China School of Control Science and Engineering Southeast University Nanjing China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey

This paper presents a multi-variable Model Predictive control (MPC) based controller for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge. This model represents a two-input, two-output system with strong nonlinearities and high coupling between its variables. A general purpose optimal control problem (OCP) solver Matlab toolbox called RIOTS is used as the OCP solver for the proposed MPC scheme which allows for straightforward implementation of the method and for solving a wide range of constrained linear and nonlinear optimal control problems. A conditional integral (CI) compensator is embedded in the controller to compensate for the small steady state errors. This method shows significant improvements in performance compared to both discrete decentralized control (C1) and multi-variable PID controller (C2) originally given in PID2018 Benchmark Challenge as a baseline. Our solution is introduced in detail in this paper and our final results using the overall relative index, J, are 0.2 over C1 and 0.3 over C2, respectively. In other words, we achieved 80% improvement over C1 and 70% improvement over C2. We expect to achieve further improvements when some optimized searching efforts are used for MPC and CI parameter tuning. © 2018

关键词： Model predictive control Benchmarking controllers Decentralized control Multivariable systems Optimal control systems Predictive control systems Proportional control systems Refrigeration Three term control systems Multi variable models Nonlinear optimal control problems Optimal control problem performance improvement PID2018 Benchmark Challenge Refrigeration cycles RIOTS Steady state errors

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Modularity maximization as a flexible and generic framework for brain network exploratory analysis

arXiv

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arXiv 2021年

作者： Esfahlani, Farnaz Zamani Jo, Youngheun Puxeddu, Maria Grazia Merritt, Haily Tanner, Jacob C. Greenwell, Sarah Patel, Riya Faskowitz, Joshua Betzel, Richard F. Department of Psychological and Brain Sciences Indiana University BloomingtonIN47405 United States Cognitive Science Program Indiana University BloomingtonIN47405 United States Program in Neuroscience Indiana University BloomingtonIN47405 United States Network Science Institute Indiana University BloomingtonIN47405 United States Department of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome Rome00185 Italy IRCCS Fondazione Santa Lucia Rome00185 Italy

The modular structure of brain networks supports specialized information processing, complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in modular structure has been linked to differences in performance, disease, and development. There exist many data-driven methods for detecting and comparing modular structure, the most popular of which is modularity maximization. Although modularity maximization is a general framework that can be modified and reparamaterized to address domain-specific research questions, its application to neuroscientific datasets has, thus far, been narrow. Here, we highlight several strategies in which the "out-of-the-box" version of modularity maximization can be extended to address questions specific to neuroscience. First, we present approaches for detecting "space-independent" modules and for applying modularity maximization to signed matrices. Next, we show that the modularity maximization frame is well-suited for detecting task- and condition-specific modules. Finally, we highlight the role of multi-layer models in detecting and tracking modules across time, tasks, subjects, and modalities. In summary, modularity maximization is a flexible and general framework that can be adapted to detect modular structure resulting from a wide range of hypotheses. This article highlights opens multiple frontiers for future research and applications. © 2021, CC BY.

关键词： Neurophysiology

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Flight control design for a highly flexible flutter demonstrator

Flight control design for a highly flexible flutter demonstr...

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AIAA Scitech Forum, 2019

作者： Luspay, Tamás Baár, Tamás Teubl, Dániel Vanek, Bálint Ossmann, Daniel Wüstenhagen, Matthias Pusch, Manuel Kier, Thiemo Waitman, Sérgio Iannelli, Andrea Marcos, Andres Lowenberg, Mark Systems and Control Lab Institute for Computer Science and Control Kende u 13-17 Budapest Hungary DLR German Aerospace Center Institute of Robotics and Mechatronics Wessling82234 Germany Aerospace Engineering Department University of Bristol University Walk BristolBS8 1TR United Kingdom

ISBN: (数字)9781624105784

ISBN: (纸本)9781624105784

The paper presents the control design approaches for the European research project FLEXOP. The ultimate goal is to develop and apply active flutter suppression and load alleviation techniques on an unmanned flying aircraft demonstrator. Due to the flexible wing of the aircraft new challenges rise for the control design: the traditional rigid body (baseline) control loops have to be augmented with flutter control laws. In our approach, the controllers are designed based on a dynamical model, which is briefly discussed first. Details of the baseline control design, as well as the two different flutter suppression algorithms are discussed in the paper. Hardware-in-the-Loop testing of the controllers are reported before the first test flights of the aircraft. © 2019, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： controllers

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An in vitro validation method for inertial-sensor-to-bone alignment

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Gait & Posture 2020年 81卷 385-387页

作者： Weygers, I. Kok, M. Seel, T. Olsson, F. De Vroey, H. Shah, D. Taylan, O. Hallez, H. Scheys, L. Claeys, K. KU Leuven campus Bruges Department of Movement and Rehabilitation Sciences Bruges Belgium TU Delft Department of Mechanical- Maritime and Materials Engineering Delft Netherlands Technische Universität Berlin Control Systems Group Berlin Germany Uppsala University Department of Information Technology- Systems and Control Uppsala Sweden KU Leuven Institute for Orthopaedic Research and Training Leuven Belgium KU Leuven campus Bruges Department of Computer Sciences Bruges Belgium University Hospitals Leuven Division of Orthopaedics Leuven Belgium

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Optimizing temperature distributions for training neural quantum states using parallel tempering

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Physical Review E 2025年第5期111卷 055306-055306页

作者： Conor Smith Quinn T. Campbell Tameem Albash Center for Quantum Information and Control University of New Mexico University of New Mexico Albuquerque New Mexico 87131 USA Department of Electrical and Computer Engineering University of New Mexico Albuquerque New Mexico 87131 USA Center for Computational Quantum Physics Flatiron Institute New York New York 10010 USA Center for Computing Research Sandia National Laboratories Albuquerque New Mexico 87185 USA

Parametrized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonians. Nevertheless, the training of the ANN can be slow and stymied by the presence of local minima in the parameter landscape. One approach to mitigate this issue is to use parallel tempering methods, and in this work, we focus on the role played by the temperature distribution of the parallel tempering replicas. Using an adaptive method that adjusts the temperatures in order to equate the exchange probability between neighboring replicas, we show that this temperature optimization can significantly increase the success rate of the variational algorithm with negligible computational cost by eliminating bottlenecks in the replicas' random walk. We demonstrate this using two different neural networks, a restricted Boltzmann machine and a feedforward network, which we use to study a toy problem based on a permutation invariant Hamiltonian with a pernicious local minimum and the J1−J2 model on a rectangular lattice.

关键词： Hamiltonians

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Recycling qubits for the generation of Bell nonlocality between independent sequential observers

arXiv

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arXiv 2021年

作者： Cheng, Shuming Liu, Lijun Baker, Travis J. Hall, Michael J.W. The Department of Control Science and Engineering Tongji University Shanghai 201804 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 201804 China Institute for Advanced Study Tongji University Shanghai 200092 China College of Mathematics and Computer Science Shanxi Normal University Linfen041000 China Centre for Quantum Dynamics Griffith University BrisbaneQLD4111 Australia Department of Theoretical Physics Research School of Physics Australian National University CanberraACT0200 Australia

There is currently much interest in the recycling of entangled systems, for use in quantum information protocols by sequential observers. In this work, we study the sequential generation of Bell nonlocality via recycling one or both components of two-qubit states. We first give a description of two-valued qubit measurements in terms of measurement bias, strength, and reversibility, and derive useful tradeoff relations between them. Then, we derive one-sided monogamy relations for unbiased observables, that strengthen the recent Conjecture in [S. Cheng et al., Phys. Rev. A 104, L060201 (2021) ] that if the first pair of observers violate Bell nonlocality then a subsequent independent pair cannot, and give semi-analytic results for the best possible monogamy relation. We also extend the construction in [P. J. Brown and R. Colbeck, Phys. Rev. Lett. 125, 090401 (2020)] to obtain (i) a broader class of two-qubit states that allow the recycling of one qubit by a given number of observers on one side, and (ii) a scheme for generating Bell nonlocality between arbitrarily many independent observers on each side, via the two-sided recycling of multiqubit states. Our results are based on a formalism that is applicable to more general problems in recycling entanglement, and hence is expected to aid progress in this field. Copyright © 2021, The Authors. All rights reserved.

关键词： Recycling

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Universal enzymatic numerical P systems with small number of enzymatic variables

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Science China(Information Sciences) 2018年第9期61卷 38-49页

作者： Zhiqiang ZHANG Tingfang WU ANDrei P■UN Linqiang PAN Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Department of Computer Science Faculty of Mathematics and Computer ScienceUniversity of Bucharest Bioinformatics Department National Institute of Research and Development for Biological Sciences School of Electric and Information Engineering Zhengzhou University of Light Industry

Numerical P systems(for short, NP systems) are distributed and parallel computing models inspired from the structure of living cells and economics. Enzymatic numerical P systems(for short, ENP systems) are a variant of NP systems, which have been successfully applied in designing and implementing controllers for mobile robots. Since ENP systems were proved to be Turing universal, there has been much work to simplify the universal systems, where the complexity parameters considered are the number of membranes, the degrees of polynomial production functions or the number of variables used in the *** the number of enzymatic variables, which is essential for ENP systems to reach universality, has not been investigated. Here we consider the problem of searching for the smallest number of enzymatic variables needed for universal ENP systems. We prove that for ENP systems as number acceptors working in the all-parallel or one-parallel mode, one enzymatic variable is sufficient to reach universality; while for the one-parallel ENP systems as number generators, two enzymatic variables are sufficient to reach *** results improve the best known results that the numbers of enzymatic variables are 13 and 52 for the all-parallel and one-parallel systems, respectively.

关键词： bio-inspired computing numerical P system mobile robot membrane controller universality

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