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Matrix computational Framework for Discrete Event control of Wireless Sensor Networks with Some Mobile Agents

Matrix Computational Framework for Discrete Event Control of...

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ieee International symposium on Intelligent control (ISIC)

作者： V. Giordano F.L. Lewis B. Turchiano P. Ballal V. Yeshala Dipartimento di Elettrotecnica Elettronica Politecnico di Bari Bari Italy Robotics and Automation Research Institute University of Texas Arlington Fort Worth TX USA

This paper presents a discrete-event controller (DEC) for the coordination of cooperating heterogeneous wireless sensors, namely unattended ground sensors and mobile robots. It describes a new method for efficient computer aided control design of a wireless sensor network. The DEC sequences the most suitable tasks for each agent according to the current perception of the environment. A novel matrix formulation makes the assignment of the mission planning straightforward and easily adaptable if agents or applications change. The matrices are direct to write down given the sequence rules for a given task. Priority rules for efficiently dispatching shared resources and handling simultaneous missions can also be easily taken into account. This architecture holds out the hope to endow a wireless sensor network with efficient self-organization mechanisms in order to accomplish a broad range of different missions in a variety of scenarios. The matrix formulation also provides a straightforward technique for computer simulation of DE systems. Simulation examples are presented to show the effectiveness and versatility of the proposed control architecture

关键词： Computer networks Wireless sensor networks Mobile agents Computer architecture Mobile robots control design Application software Dispatching Computer simulation computational modeling

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computational intelligence in control-a comparison of several neuro-fuzzy systems

Computational intelligence in control-a comparison of severa...

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ieee International symposium on Industrial Electronics (ISIE)

作者： M.B. Gorzalczany A. Gluszek Department of Electrical and Computer Engineering Kielce University of Technology Kielce Poland

ISBN: (纸本)0780366069

The aim of this paper is to present and compare several neuro-fuzzy systems used as controllers for simulated backing up of a truck to a loading dock in a planar parking lot. The following systems have been considered: nfCon-the system proposed in this paper, an alternative neuro-fuzzy system reported in literature as well as the well-known ANFIS and NFIDENT systems. The main criterion of comparison of all systems is their performance (the accuracy of functioning) versus interpretability the transparency and the ability to explain generated actions; it also includes an analysis and pruning of the obtained fuzzy-rule bases.

关键词： computational intelligence control systems Fuzzy neural networks Fuzzy logic Artificial neural networks Performance analysis control system synthesis Fuzzy systems computational modeling Computer simulation

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Wind System control at Time-Varying Wind Speeds Using the Perturb and Observe Method

Wind System Control at Time-Varying Wind Speeds Using the Pe...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Florinel Butaru Mihaela Codruta Ancuti Geza Mihai Erdodi Ciprian Sorandaru Sorin Musuroi Razvan Ancuti Department of Electrical Engineering University POLITEHNICA Timisoara Timisoara Romania University Aurel Vlaicu Arad Romania

In this paper, the operation of the wind turbine (WT) at its maximum power point (MPP) is analyzed, using the classical perturb and observe method (POM). The wind system, consisting of the wind turbine (WT) and the electric generator, is currently operating in the energetically optimal zone using the perturb and observe method (POM) at constant wind speeds over time. This research demonstrates the inefficiency of the perturb and observe method (POM) at time-varying wind speeds using extended simulation findings based on experimental data from the wind turbines region in Dobrogea and using mathematical models.

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Multi-Scale Vision Transformer with Local-Global Attention 4

Multi-Scale Vision Transformer with Local-Global Attention

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4th International Conference on Industrial automation, Robotics and control Engineering, IARCE 2024

作者： Zhang, Ruomiao Du, Shengdong Hu, Jie Zhao, Xiaole Yang, Yan School of Computing and Artificial Intelligence Southwest Jiaotong University Chengdu China

ISBN: (纸本)9798350380323

The extraction of multi-scale features from input images is crucial for computer vision tasks. However, some backbone networks based on visual transformers lack the ability to effectively extract multi-scale features or use relatively simplistic methods to do so. This paper proposes a novel multi-scale visual transformer, called Multi-Scale Extraction Transformer (MSET), designed to proficiently tackle a range of downstream visual tasks. MSET incorporates innovative concepts of Multi-Scale feature extraction Embedding (MS Embedding) and Local-Global self-attention (LGSA). MS Embedding uses a unique architecture convolutional layer method that constructs hierarchical residual-like connections, allowing for the extraction of multi-scale features at finer granularity levels. Meanwhile, LGSA integrates local and global dependencies within the self-attention module, reducing computational complexity while facilitating connections between the global and local features of the image. The importance of position information in the embeddings and the impact of amplitude on model performance are also considered, allowing MSET to handle position bias information of variable size in the input image and to ensure stability during training. Numerous experiments have demonstrated the significant advantages of MSET over most existing state-of-the-art backbone networks across various visual tasks, including image classification, object detection, instance segmentation, and semantic segmentation tasks. © 2024 ieee.

关键词： Semantic Segmentation

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Extracting salient lines by Visual Attention for omnidirectional image classification

Extracting salient lines by Visual Attention for omnidirecti...

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ieee symposium on computational intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)

作者： AmirHossein Habibian Majid Nili-Ahmadabadi Babak Nadjar Araabi Robotics and AI Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran School of Cognitive Sciences Institute for Research in Fundamental Sciences Tehran Iran

Representing an image as a set of its key and interesting lines facilitates the image understanding and classification. In this paper, we propose a method to extract the significant and interesting lines of the scene, which probably are useful in image classification. The proposed method is inspired from the Visual Attention, which is a perceptual mechanism in human and other primates that direct their perceptions to the limited regions of the scene. The attended regions are usually valuable in performing the task. Since the approach of using the lines to classify the images is particularly useful for omnidirectional images, we specialize our method to deal with these kinds of images. In the experiments, we demonstrate how our proposed methods improve the image classification performance with processing only small parts of the input images.

关键词： Feature extraction Visualization Image classification Gabor filters Image edge detection Histograms computational modeling

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Analysis of Max-Plus Algebraic Model for Intelligent Manufacturing Systems Based on Heap Method 8

Analysis of Max-Plus Algebraic Model for Intelligent Manufac...

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8th International symposium on Computer Science and Intelligent control, ISCSIC 2024

作者： Rao, Taiwen Liu, Zuojun Hebei University of Technology School of Ai Tianjin China Central South University School of Automation Changsha China Hebei University of Technology School of Ai Control Engineering Technology Innovation Centre of Hebei Tianjin China

ISBN: (纸本)9798350380286

Max-plus algebra is a mathematical method with special operational rules that can describe the temporal logic characteristics of discrete event systems and optimize the intelligent manufacturing system. The heap model in the max-plus algebra is an intuitive dynamic system description method that can be used to model various Tetris like systems. Each block in the model can be used to identify a single work-piece in the intelligent manufacturing process, with the goal of manufacturing a set of products in a specific order, thereby minimizing the total manufacturing time. In this paper, the heap method based on max-plus algebra is used to model and analyse discrete manufacturing processes involving multiple devices and tasks. The research addresses both rigid heaps, which do not impose restrictions on the order of processing objects, and complex rigid heaps, which also allow for flexible processing object order. To enhance the analytical accuracy in scenarios involving machining tasks comprising intricate stacks of rigid heaps, an enhanced 3D heap modelling method is proposed. This approach aims to improve the production scheduling outcome. Moreover, by investigating non-rigid heaps with limited processing object order, the proposed method is compared with the simulated annealing algorithm in the field of production scheduling, and further analysis was conducted. Finally, a comprehensive analysis is presented to identify the applicable fields for the proposed method. © 2024 ieee.

关键词： Smart manufacturing

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Population based Reinforcement Learning

Population based Reinforcement Learning

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ieee symposium Series on computational intelligence (SSCI)

作者： Kyle W. Pretorius Nelishia Pillay University of Pretoria Pretoria South Africa

ISBN: (纸本)9781728190495

Genetic algorithms have recently seen an increase in application due to their highly scalable nature. Enabling more efficient utilization of processing power that has become readily available. This study introduces Population based reinforcement learning (PBRL), a method that hybridizes a GA with a policy gradient reinforcement learning algorithm. This combination not only enables more scalable policy optimization, but also helps mitigate some of the common weaknesses of policy gradient algorithms. Furthermore, PBRL is also extended to include automatic hyper-parameter tuning, which is used to evaluate the impact that such tuning can have on the performance of the policy gradient algorithm being used. Experiments comparing these methods are conducted on a number of continuous control problems simulated by MuJoCo. Results show that PBRL is capable of outperforming a commonly used policy gradient algorithm, while also producing results in nearly one fifth the time. It is also observed that the addition of automatic hyperparameter tuning can be greatly beneficial for environments where well tuned hyper-parameters are not known.

关键词： Training Sociology Reinforcement learning Artificial neural networks Learning (artificial intelligence) Statistics Tuning

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Enhancing Fingerprint Biometrics in Automated Border control with Adaptive Cohorts

Enhancing Fingerprint Biometrics in Automated Border Control...

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ieee symposium Series on computational intelligence

作者： Abhinav Anand Ruggero Donida Labati Angelo Genovese Enrique Munoz Vincenzo Piuri Fabio Scotti Gianluca Sforza Department of Computer Science Università degli Studi di Milano Italy

ISBN: (纸本)9781509042418

Automated Border control (ABC) systems are being increasingly used to perform a fast, accurate, and reliable verification of the travelers' identity. These systems use biometric technologies to verify the identity of the person crossing the border. In this context, fingerprint verification systems are widely adopted due to their high accuracy and user acceptance. Matching score normalization methods can improve the performance of fingerprint recognition in ABC systems and mitigate the effect of non-idealities typical of this scenario without modifying the existing biometric technologies. However, privacy protection regulations restrict the use of biometric data captured in ABC systems and can compromise the applicability of these techniques. Cohort score normalization methods based only on impostor scores provide a suitable solution, due to their limited use of sensible data and to their promising performance. In this paper, we propose a privacy-compliant and adaptive normalization approach for enhancing fingerprint recognition in ABC systems. The proposed approach computes cohort scores from an external public dataset and uses computational intelligence to learn and improve the matching score distribution. The use of a public dataset permits to apply cohort normalization strategies in contexts in which privacy protection regulations restrict the storage of biometric data. We performed a technological and a scenario evaluation using a commercial matcher currently adopted in real ABC systems and we used data simulating different conditions typical of ABC systems, obtaining encouraging results.

关键词： control Adaptive Cohorts

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Evolving Boolean networks for biological control: State space targeting in scale free Boolean networks

Evolving Boolean networks for biological control: State spac...

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ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： Nadia S. Taou David W. Corne Michael A. Lones School of Mathematical and Computer Sciences Heriot-Watt University Edinburgh UK

ISBN: (纸本)9781509000128

Gene regulatory networks are the complex dynamical structures that orchestrate the activities of biological cells. Inappropriate dynamical behaviours, caused by mutations or environmental perturbations, can lead to disease. control interventions, for example in the form of therapeutic drugs, can lead to recovery from disease. In this paper, we consider how Boolean networks can be used to control a computational model of gene regulatory networks, focusing on the problem of state space targeting in scale-free Boolean networks, an abstract yet realistic model of biological gene regulatory networks. Our results suggest that Boolean networks can be optimised to carry out useful control, and that the approach is relatively scalable. We also take an initial look at the trade-off between the efficacy and efficiency of control, showing that many target networks can be controlled via a relatively small degree of coupling, giving hope that Boolean network controllers could one day be implemented in vivo.

关键词： Aerospace electronics Couplings Optimization Boolean functions Biological system modeling Computers

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Passivity-Based controller Design of Grid-Connected Inverters Using PCC Voltage Feedforward Active Damping 4

Passivity-Based Controller Design of Grid-Connected Inverter...

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4th International symposium on Electrical, Electronics and Information Engineering, ISEEIE 2024

作者： Huang, Yukai Xu, Jinbang Huang, Songtao Hu, Yihua Zheng, Bingying Li, Zhuang School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China King's College London Department of Engineering London United Kingdom

ISBN: (纸本)9798350355772

The stability of LCL-filter grid-connected inverters with grid current feedback (GCF) and active damping control methods has been extensively researched. However, current sensors are more commonly placed on the inverter side for a more compact structure, leading to different stability analyses due to the LCL filter. Therefore, this paper focuses on passivity-based point of common coupling (PCC) voltage active damping for inverter-current feedback (ICF) grid-connected inverters. PCC voltage active damping is utilized to achieve output admittance passivity across the entire frequency domain. The general controller phase constraint conditions are stated, providing a helpful basis for the design of the controller. Moreover, a detailed design scheme is demonstrated for the control form and parameter selection. The chosen controller can achieve good performance for ICF inverters under different grid impedances. Finally, the simulation results verify the effectiveness of the proposed design methods. © 2024 ieee.

关键词： Integrated circuit design

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