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3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： Hou, Guolian Zhang, Tianhao Guo, Zhiqiang Huang, Ting Li, Qingwei North China Electric Power University School of Control and Computer Engineering Beijing China

ISBN: (纸本)9798350318470

This paper proposes an accurate modeling method for CHP plant by combining the digital twin(DT) and Transformer. Firstly, the actual operating data of the CHP plant is real-time affined to the simulation platform through DT. As Transformer has the advantages of strong robustness, parallel computing and wide applicability. It is used to establish the accurate model of supercritical CHP plant The innovation of this modeling method lies in the successfully combination of DT and Transformer, which has important reference value for promoting the flexible operation capacity of CHP plant. Finally, the effectiveness of the proposed model method is confirmed through the simulations on a 350 MW CHP plant. © 2023 IEEE.

关键词： Simulation platform

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MSCR-HRNetV2: High-Resolution Remote Sensing Image Segmentation for Railway Scenes

MSCR-HRNetV2: High-Resolution Remote Sensing Image Segmentat...

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2023 China Automation Congress, CAC 2023

作者： Li, Longkai Yang, Qi Shi, Ruifeng Teng, Jing School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350303759

Remote sensing image semantic segmentation not only enables the acquisition of valuable category information regarding surface objects but also provides crucial spatial information. This foundational data, with its high research value, plays a pivotal role in advancing the understanding and utilization of spatial environmental resources. To construct a suitable space for railway transportation and improve the channel information mismatch problem in the multi-scale fusion unit of HRNetV2, in terms of data, a high-resolution remote sensing image dataset of two railway sections of Kaha Railway and Ganquan Railway was collected, and annotated, including 210 original remote sensing images with a resolution of 4800 × 2986, a viewing altitude of 2km, and a spatial resolution of 0.24m. In terms of methods, an embedded self-attention mechanism module was introduced and a multi-scale consistency regularization (MSCR) method was introduced to propose MSCR-HRNetV2, achieving pixel-level semantic segmentation representation of high-resolution remote sensing images. The experimental results show that the MIoU results of MSCR-HRNetV2 on the self-built railway dataset and the public Potsdam remote sensing image dataset reached 0.8137 and 0.7596 respectively, which were 0.0313 and 0.0201 higher than the original HRNetV2. Compared with other typical remote sensing image semantic segmentation methods such as Deeplabv3+, the segmentation accuracy has also been improved by 0.0386 and 0.0219. The high-resolution remote sensing image dataset constructed in this study provides an important data source for studying the segmentation problem of high-resolution remote sensing images around railways. The proposed MSCR-HRNetV2 benchmark method lays the foundation for the full development and utilization of railway transportation space resources. © 2023 IEEE.

关键词： Image enhancement

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Classical Gain Scheduling PID and Fuzzy Gain Scheduled Set-Point Weighted PID controller Performance Comparison in Isothermal CSTR 11

Classical Gain Scheduling PID and Fuzzy Gain Scheduled Set-P...

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11th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2023

作者： Elfadel Haroon, Husam E. School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9798350333664

management of the Continuous Stirred Tank Reactor (CSTR) operation has proven to be a difficult undertaking due to the complex and ever-changing nature of its behavior, which is both nonlinear and dynamic, which is further compounded by its instability. Attempts have been made to use Proportional-Integral-Derivative (PID) controllers for such processes, but the performance is often poor due to the inherent limitations of the controllers. In contrast, heuristic algorithms have been employed to tune the controllers, but these methods can only provide optimal performance for a restricted range of parameter variations. This paper presents a novel approach that uses a conventional gain scheduling PID controller combined with a fuzzy gain scheduling (FGS) controller method to calibrate set-point weighted PID controllers for the CSTR process. The paper outlines the design of the controllers and evaluates their performance by subjecting them to varying input signals within the given bandwidth. © 2023 IEEE.

关键词： Continuous Stirred Tank Reactor fuzzy gain scheduling Proportional-Integral-Derivative

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A Note on the Local Observability of Uniform Hypergraphs

A Note on the Local Observability of Uniform Hypergraphs

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94th Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2024

作者： Gerbet, Daniel Röbenack, Klaus Institute of Control Theory Faculty of Electrical and Computer Engineering TUD Dresden University of Technology Dresden Germany

Hypergraphs generalize graphs in such a way that edges may connect any number of nodes. If all edges are adjacent to the same number of nodes, the hypergraph is called uniform. Thus, a graph is a 2-uniform hypergraph. Each uniform hypergraph can be identified with an autonomous dynamical state-space system, whose vector field is composed of homogenous polynomials. We consider the observability of dynamical systems, which possess this special structure. In control theory, the observability of a dynamical system asks for the possibility to reconstruct the systems state from an output trajectory, where the output is a projective measurement of the systems state. In addition, one can ask for the observable subspace of the state. Nonlinear systems, although observable at almost all points in the state space, may possess not-locally observable ones. The existence and location of such states are important for observability analysis and observer design. Recently, the observability of these hypergraph systems has been studied for the general case. We apply an extended deterministic observability test to uniform hypergraphs and also compute the not-observable states for different linear output maps. We are able to confirm the results of the recent study, at least for graphs with a small number of nodes, due to the computational complexity of our method. In addition, the not-locally observable states are computed for different combinations of measured nodes. © 2025 The Author(s).

关键词： Dynamical systems

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Unsupervised Segmentation of Smart Home Position Logs for Human Activity Analysis 19

Unsupervised Segmentation of Smart Home Position Logs for Hu...

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19th International Conference on Intelligent Environments, IE 2023

作者： Leotta, Francesco Mecella, Massimo Veneruso, Silvestro Sapienza Università di Roma Department of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9798350312225

Human activities represent a major source of information for smart home automation. While performing their daily activities, humans trigger sensors producing measurements that flow into a sensor log. Vast majority of techniques to recognize and exploit the occurrences of human activities are supervised, requiring the log to be manually labeled in correspondence of the onset and the end of each activity repetition. This task requires a considerable effort by the final user, resulting in imprecise labeling tampering the performance of algorithms. In this paper, we propose an unsupervised technique allowing to automatically segment smart home logs containing position sensor measurements. The proposed technique exploits information about the position of the human to automatically extract basic actions, which are then segmented on a temporal basis and clustered. The approach is evaluated against a state-of-the-art dataset. © 2023 IEEE.

关键词： Automation

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Optimal control Strategy to Reduce HIV-1 Infection in the Brain 9

Optimal Control Strategy to Reduce HIV-1 Infection in the Br...

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9th International Conference on control, Decision and Information Technologies, CoDIT 2023

作者： Baiocchi, Sofia Blengini, Federica Caleno, Francesca Di Giamberardino, Paolo Iacoviello, Daniela Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9798350311402

The study of Human Immunodeficiency Virus (HIV) and of its progression to Acquired Immune Deficiency Syndrome (AIDS) has been a challenge by scientists since the early 1980s;the improvements in the knowledge of its transmission and of the evolution of the disease have strongly reduced the mortality, even if up to know an effective vaccine is not available. Nevertheless, the Highly Active Antiretroviral Therapy (HAART) allows a high life expectancy. Some of the mechanisms of HIV reproduction are under investigation and recent observations are suggesting the existence of virus reservoir in the brain, the liver, the lungs and the gut. In particular, due to untreated amounts of virus, neurocognitive disorders as well as motor nerves diseases and weakness in muscles are improved in patients already weakened. In this paper it is considered a mathematical modelling to study the within-host viral dynamics, analysing the dynamics of the CD4-T cells, of the macrophages both inside and outside the brain, uninfected and infected, along with the virions carrying on the infection. An optimal control strategy is proposed and implemented,aiming at maximizing the number of healthy cells, while reducing the number of infected ones, scheduling suitably the therapy. © 2023 IEEE.

关键词： Diseases

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A P2P Based Energy Trading Approach 5th

A P2P Based Energy Trading Approach

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5th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2021

作者： Lv, Fangchao Yu, Mei School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9789811939976

This paper proposes a peer-to-peer (P2P) based energy trading approach to enhance the profit of each prosumer. The proposed approach uses future information of the electricity market to manage the prosumer energy trading strategies. A generally optimal strategy of the prosumers is given to deal with multiple situations in energy trading. Through a P2P mechanism, the expected trading objective determined by the optimal strategy is achieved. Simulations are conducted to validate the effectiveness of the proposed approach. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Power markets

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Developed Technique to Track Hot Spots on Flame 2

Developed Technique to Track Hot Spots on Flame

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2nd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2022

作者： Abdelrahim, Ahmed Liu, Shi Abdalla, Nihad School of Control and Computer Engineering Beijing China

ISBN: (数字)9781728181158

ISBN: (纸本)9781728181158

Charged-Coupled Device (CCD) Camera can be used as an optical position sensor to determine the location of the hot spot on the sensor surface in two dimensions. A CCD camera is a video camera with a coupled device (CCD), which is an integrated circuit transistor light sensor with a high quantum efficiency, minimal noise, large dynamic range, linear response, and little geometric distortion. The CCD camera is a digital camera that enables taking visual information and converting it into an image or video. CCD cameras are widely used due to their ability to take images in low light. The control system employed in this study is based on a novel and modern closed-loop algorithm that allows for precise tracking of the hotspot's location and speed used in the measurement of a specific physical process. The proposed control model is controlled around the brightest area using two controllers, the Proportional-Integral-Derivative controller (PID) and the Neuro-Fuzzy controller with feedback through the CCD sensor, as well as the use of a Brushless Direct Current (BLDC) motor for position and speed control with two feedback loops. To verify the validity of the proposed system, it was found that the algorithm will achieve a better rise time and reduce the maximum overshoot. © 2022 IEEE.

关键词： controllers

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Advanced synaptic devices and their applications in biomimetic sensory neural system

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Chip 2023年第1期2卷 1-22页

作者： Yiqi Sun Jiean Li Sheng Li Yongchang Jiang Enze Wan Jiahan Zhang Yi Shi Lijia Pan School of Electronic Science and Engineering Nanjing University210093NanjingChina School of Microelectronics and Control Engineering Changzhou University213164ChangzhouChina School of Computer Sci-ence and Engineering Macao University of Science and Technology

Human nervous system,which is composed of neuron and synapse networks,is capable of processing information in a plastic,dataparallel,fault-tolerant,and energy-efficient *** by the ingenious working mechanism of this miraculous biological data processing system,scientists have been devoting great efforts to ar-tificial neural systems based on synaptic devices in recent *** continuous development of bioinspired sensors and synaptic devices in recent years have made it possible that artificial sensory neural systems are capable of capturing and processing stimuli informa-tion in real *** progress of biomimetic sensory neural systems could provide new methods for next-generation humanoid robotics,human-machine interfaces,and other frontier ***,this review summarized the recent progress of synaptic devices and biomimetic sensory neural ***,the opportunities and remaining challenges in the further development of biomimetic sensory neural systems were also outlined.

关键词： Artificial synapse Biomimetic sensory neural system Memristor Synaptic transistor

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Machine Learning for Fog Computing: Perceiving QoE for IoT Applications

Machine Learning for Fog Computing: Perceiving QoE for IoT A...

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作者： Ahmed, Eman Nashaat, Heba Rizk, Rawya Computer and Control Department Faculty of Engineering Port-Said University Port-Said Egypt

Since the Internet of Things (IoT) is a rapidly growing industry, so does the range of IoT applications;IoT transforms every aspect of our lives, from smart homes and cities to healthcare and agriculture. With the increasing popularity of IoT applications in many different areas, the round-trip delay of data processing in the cloud affects the user’s quality perception. A portable operating system distribution, high environmental consistency, and resource isolation are all features of the lightweight application virtualization technology known as containerization. Mainstream cloud service providers for automated application administration have widely incorporated container technologies into distributed system architectures. However, the distributed nature of cloud and edge computing environments and workloads significantly increases the complexity of orchestration systems. Therefore, the Quality of Experience (QoE) is required for Internet of Things (IoT) applications. Machine Learning (ML) algorithms are employed by container orchestration systems for modeling, predicting the multi-dimensional performance metrics, and improving the overall QoE. The main objective of this paper is to provide a comprehensive review of existing machine learning enablement of container orchestration. Moreover, we discuss and classify the ML implementation challenges in IoT applications and enlist the applications of machine learning algorithms with IoT. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Containers

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