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International Conference on Actual Problems of Applied Mathematics and Computer systems, APAMCS 2022

作者： Gautam, Nandita Basu, Abhishek Kaplun, Dmitry Sarkar, Ram Department of Computer Science and Engineering Jadavpur University Kolkata India Department of Computer Science and Engineering National Institute of Technology Durgapur Durgapur India Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia

ISBN: (纸本)9783031341267

One of the most common types of cancer in the world is lung cancer, which is a cause of increasing mortality. It is most often discovered in the middle and later stages as it does not have obvious symptoms due to which its treatment is often missed. Studies show that most lung cancers are in the form of lung nodules, which can be categorized as benign or malignant. Thus, accurate early identification of malignant lung nodules that might later become cancerous is essential for the prevention of lung cancer. Computed Tomography (CT) images can be useful for identifying and segmenting these nodules. In this paper, we propose an ensemble model, called BUS-UNet++, to segment lung nodules using CT images. We use a combination of the ConvLSTM up-sampling architecture from BUS-UNet and skip connections in aggregation blocks from the UNet++ model to build the BUS-UNet++ ensemble. The dataset for this study is collected from the Lung Image Database Consortium Image Database Resource Initiative (LIDC-IDRI), where we have selected the modality of these images as CT images. These are further preprocessed to obtain nodule masks and nodule images, which constitute the Region of Interest (RoI). The accuracy achieved with the Adam Optimizer is 0.9731, the Intersection over Union (IoU) of about 0.8439, and the dice score coefficient (DSC) of about 0.958 are obtained by the proposed system. This ensemble model outperforms several state-of-the-art models used for the same purpose. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Image segmentation

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Flow and thermal modeling of liquid metal in expanded microchannel heat sink

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Frontiers in Energy 2023年第6期17卷 796-810页

作者： Mingkuan ZHANG Xudong ZHANG Luna GUO Xuan LI Wei RAO Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin 300384China Key Laboratory for Thermal Science and Power Engineering of the Ministry of Education Department of Engineering MechanicsTsinghua UniversityBeijing 100084China School of Mechanical Engineering Tianjin University of CommerceTianjin 300134China Institute of Refrigeration and Cryogenics Shanghai Jiao Tong UniversityShanghai 200240China Beijing Key Laboratory of CryoBiomedical Engineering and Key Laboratory of Cryogenics Beijing 100190China

Liquid metal-based microchannel heat sinks (MCHSs) suffer from the low heat capacity of coolant, resulting in an excessive temperature rise of coolant and heat sink when dealing with high-power heat dissipation. In this paper, it was found that expanded space at the top of fins could distribute the heat inside microchannels, reducing the temperature rise of coolant and heat sink. The orthogonal experiments revealed that expanding the top space of channels yielded similar temperature reductions to changing the channel width. The flow and thermal modeling of expanded microchannel heat sink (E-MCHS) were analyzed by both using the 3-dimensional (3D) numerical simulation and the 1-dimensional (1D) thermal resistance model. The fin efficiency of E-MCHS was derived to improve the accuracy of the 1D thermal resistance model. The heat conduction of liquid metal in Z direction and the heat convection between the top surface of fins and the liquid metal could reduce the total thermal resistance (Rt). The above process was effective for microchannels with low channel aspect ratio, low mean velocity (Um) or long heat sink length. The maximum thermal resistance reduction in the example of this paper reached 36.0%. The expanded space endowed the heat sink with lower pressure, which might further reduce the pumping power (P). This rule was feasible both when fins were truncated (h_(2) < 0, h_(2) is the height of expanded channel for E-MCHS) and when over plate was raised (h_(2) > 0).

关键词： liquid metal cooling heat sink expanded microchannel flow and thermal modeling

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A comparative study of four nonlinear dynamic methods and their applications in classification of ship-radiated noise

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Defence Technology（防务技术） 2022年第2期18卷 183-193页

作者： Yu-xing Li Shang-bin Jiao Bo Geng Qing Zhang You-min Zhang School of Automation and Information Engineering Xi’an University of TechnologyXi’an710048China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an710048China Department of Mechanical Industrial and Aerospace EngineeringConcordia UniversityMontrealQuebec H3G 1M8Canada

Refined composite multi-scale dispersion entropy(RCMDE),as a new and effective nonlinear dynamic method,has been applied in the field of medical diagnosis and fault *** this paper,we first introduce RCMDE into the field of underwater acoustic signal processing for complexity feature extraction of ship radiated noise,and then propose a novel classification method for ship-radiated noise based on RCMDE and k-nearest neighbor(KNN),termed *** results of a comparative experiment show that the proposed RCMDE-KNN classification method can effectively extract the complexity features of ship-radiated noise,and has better classification performance under one and two scales than the other three classification methods based on multi-scale permutation entropy(MPE)and KNN,multi-scale weighted-permutation entropy(MW-PE)and KNN,and multi-scale dispersion entropy(MDE)and KNN,termed MPE-KNN,MW-PE-KNN,and *** is proved that the RCMDE-KNN classification method for ship-radiated noise is feasible and effective,and can obtain a very high recognition rate.

关键词： Nonlinear dynamic Refined composite multi-scale dispersion entropy(RCMDE) Multi-scale dispersion entropy(MDE) Multi-scale weighted-permutation entropy (MW-PE) Multi-scale permutation entropy(MPE) Classification of ship-radiated noise

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A Cloud-Edge-Based Multi-Label Learning and Fast Clustering Method for Emerging New PV Faults 13

A Cloud-Edge-Based Multi-Label Learning and Fast Clustering ...

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13th IEEE International Conference on CYBER Technology in automation, control, and Intelligent systems, CYBER 2023

作者： Liu, Qi Yang, Bo Liu, Yuxiang Ma, Kai Guan, Xinping Shanghai Jiao Tong University Ministry of Education Key Laboratory of System Control and Information Processing Department of Automation Shanghai200240 China School of Electrical Engineering Yanshan University Qinhuangdao066004 China

ISBN: (纸本)9798350315196

Aiming at accurate identification of emerging new faults in PV systems, a novel PV fault diagnosis framework based on cloud-edge collaboration is designed. Model updates are deployed on the cloud servers, while real-time diagnosis is implemented at the edge devices. A multi-label learning model is developed to extract fault features efficiently, and a threshold scheme is further designed for feature enhancement. The obtained features are processed by K-Means clustering and the One-Class Support Vector Machine (OCSVM) methods, which can accurately diagnose existing types and identify unknown faults. For analysis and demonstration, the Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) methods are used for dimensionality reduction and visualization. Numerical results validate the effectiveness of the proposed method. © 2023 IEEE.

关键词： K-means clustering

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Modeling Method of Coaxial Cable Transmission Characteristics Based on Fourier Decomposition

Modeling Method of Coaxial Cable Transmission Characteristic...

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Electrical, automation and Computer engineering (ICEACE), International Conference on

作者： Hao Li Ziyuan Zhan Zhizhuo Zhang Zhiming Yang Liang Bao Mouxun Sun Department of System Engineering Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

At present, in the fields of mobile communication, aerospace and et al., the signal transmission quality problems caused by the structural damage of the coaxial cable have become increasingly prominent, and the fault diagnosis methods for the coaxial cable have also received extensive attention in the industrial field. However, most of the commonly used method, such as the numerical modeling-based methods only consider the effect of signal reflection and transmission delays, but the effect of signal attenuation is not discussed, which in turn undermine the effect of cable diagnosis method. In this regard, this paper proposes a method for analyzing the attenuation characteristics of coaxial cables based on Fourier decomposition. First, the attenuation characteristics of the coaxial cable on fixed frequency is measured by the vector network analysis. Then, the transmission attenuation for continuous frequency is modeled using the Support Vector Regression. Next, the arbitrary input signal is decomposed by Fourier Transform and the attenuation of the coaxial cable when any signal is input is finally established. This paper also carried out the pulse attenuation measurement experiment based on the hardware platform, and compared the measured results with the simulation results, which verified the effectiveness of the proposed method.

关键词： Support vector machines Analytical models Coaxial cables Simulation Network analyzers Attenuation measurement Attenuation Vectors Reflection Frequency measurement

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Electric Vehicles Modeling: A Review 15

Electric Vehicles Modeling: A Review

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15th IEEE International Conference on Industry Applications, INDUSCON 2023

作者： de Oliveira, Victor Manuel Riva dos Remédios, Vinícius Ferreira Donadel, Clainer Bravin dos Santos, Walbermark Marques Có, Márcio Almeida de Melo, Vinícius Secchin Nunes, Reginaldo Barbosa Electrical Engineering Department Federal Institute of Espírito Santo Vitória Brazil Control and Automation Eng Dept. Federal Institute of Espírito Serra Santo Brazil

ISBN: (纸本)9798350314182

The increasing concern about climate change has been leading researches in many areas to investigate solutions for this issue. An emerging subject related to it is electric vehicles (EV). Although it is an important topic, there is still a lack of review papers about EVs modeling. In this context, this paper aims to bring a review about EV modeling to fulfill this gap. A wide bibliography review is made to cover different kinds of EVs modeling, in many aspects. As a conclusion, in some areas, authors do not diverge from each other, while in others may exist a large range of different ways to model the EVs. In this case, researchers should choose the modeling that fits the best for their research, which may vary in simplicity and computational effort. © 2023 IEEE.

关键词： Battery Electric Vehicles Modeling Simulation

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An Attitude control Scheme for Low Redundancy Micro-nano Satellites without Gyroscopes

An Attitude Control Scheme for Low Redundancy Micro-nano Sat...

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IEEE International Conference of Intelligent Robotic and control engineering (IRCE)

作者： Mingqun Li Yongjun Lei Qinghua Jiang Research and Development Center Beijing Institute of Control Engineering Beijing China System Design Department Beijing Institute of Control Engineering Beijing China

ISBN: (数字)9798350352399

ISBN: (纸本)9798350352405

XX-1 satellite is a micro-nano satellite with low control system redundancy, equipped with only one set of three-axis gyroscopes. How to achieve attitude control during satellite failures has become an important issue in control scheme. This article proposes an attitude control scheme for low redundancy micro-nano satellites under the condition of no gyroscope. When high-value components in the satellite attitude control system, such as gyroscopes, fail and there are no redundant components, the satellite only uses magnetometers to reconstruct the attitude determination system, which can achieve attitude determination under any attitude conditions. This paper divides the working modes of micro-nano satellites into different modes based on the control tasks. Corresponding control laws are adopted in different modes, and magnetic torquers and momentum wheels are used to generate corresponding control torques, thus forming a complete satellite attitude control scheme. This paper further proposes effective discrimination conditions and parameter design methods for various working modes. Mathematical simulation shows that the proposed scheme enables micro-nano satellites to recover from any attitude to a stable operating state without gyroscope, and has the ability to operate stably in orbit for a long time. The attitude control accuracy is better than 2°, and the attitude stability is better than 0.003°/s, greatly improving the satellite's ability to operate safely in orbit.

关键词： Satellites Magnetic field measurement Attitude control Magnetometers Redundancy Position measurement Extraterrestrial measurements Orbits Stability analysis Gyroscopes

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Stage-cost design for optimal and model predictive control of linear port-Hamiltonian systems: Energy efficiency and robustness

Stage-cost design for optimal and model predictive control o...

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93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, GAMM 2023

作者： Şen, Gökçen Devlet Schaller, Manuel Worthmann, Karl Optimization-based Control Group Institute of Mathematics Technische Universität Ilmenau Ilmenau Germany Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

We consider singular optimal control of port-Hamiltonian systems with minimal energy supply. We investigate the robustness of different stage-cost designs w.r.t. time discretization and show that alternative formulations that are equivalent in continuous time, differ strongly in view of discretization. Furthermore, we consider the impact of additional quadratic control regularization and demonstrate that this leads to a considerable increase in energy consumption. Then, we extend our results to the tracking problem within model predictive control and show that the intrinsic but singular choice of the cost functional as the supplied energy leads to a substantial improvement of the closed-loop performance. © 2023 The Authors. Proceedings in Applied Mathematics & Mechanics published by Wiley-VCH GmbH.

关键词： Model predictive control

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Research on the Method of Remaining Useful Life Prediction of Lithium-Ion Battery Based on LSTM

Research on the Method of Remaining Useful Life Prediction o...

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Electrical, automation and Computer engineering (ICEACE), International Conference on

作者： Shenhang Wang Junjie Wang Gang Xiang Ruishi Lin Yu Peng Zhiming Yang Department of System Engineering Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368215

Lithium-ion batteries are prone to capacity degradation during use, leading to a decline in their reliability and potentially causing catastrophic failures. This necessitates the study of advanced methods for estimating the lifespan of lithium-ion batteries. To address this need, this paper conducts research in three areas: the extraction of degradation features, the construction of health factors, and the development of predictive models, proposing a comprehensive framework for estimating the remaining useful life of lithium-ion batteries. Firstly, the general trends of external feature parameters as a function of cycling are observed to identify the features that indicate battery degradation. Next, the relationship between these features and battery capacity is determined using Grey Relation Analysis, allowing for the construction of an indirect health factor. Finally, a data-driven prediction method is employed to construct a predictive network model using Long Short-Term Memory networks, with the health factor used for training to accurately predict the health state of the lithium-ion battery. The effectiveness of the proposed remaining life prediction method is validated using the NASA Battery Set dataset from NASA Ames Research Center.

关键词： Lithium-ion batteries Degradation Training Accuracy Noise NASA Predictive models Feature extraction Market research Long short term memory

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Linear Fresnel reflector technology in Brazil: a techno-economic evaluation

Renewable Energy and Power Quality Journal

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Renewable Energy and Power Quality Journal 2023年 21卷 329-336页

作者： Azevedo, G.F. Lopes, M.E. Menezes, B.A. Rabelo, O.H.F. Brito, L.B. Dias, A.B. Filho, A.L.F. Domingues, E.G. Department of Electrical Engineering University of Brasília Darcy Ribeiro University Campus – Gleba A Avenida L3 Norte DF Brasília70.910-900 Brazil Electrical Engineering/Control and Automation Engineering Program Federal Institute of Goiás Câmpus Goiânia Rua 75 nº46-Centro GO Goiânia74055-110 Brazil

This study aims to present the results of applying a computational tool developed to perform a technical-economic feasibility analysis of a large-scale Linear Fresnel Reflector (LFR) solar power plant. The viability analysis indicators were obtained considering that the electricity produced trades at the Regulated Contracting Environment of the Brazilian Electricity Market. The parametric structural optimization method is used to optimize the technical parameters of the plant. A case study was conducted to analyze the viability of Implementing a 100 MW LFR power plant in the five regions of Brazil. The results indicated that Northeastern is the best region to install this power plant. However, the project is not viable in all cities analyzed. A sensitivity analysis (SA) of some strategically selected variables was conducted to evaluate its impacts on the project's net present value of an optimized LFR plant located in the city with the best technical performance. Finally, an optimistic scenario was evaluated considering the net present value's response to the parameters investigated in the SA. For this scenario, the results indicated the project's economic viability. © 2023, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.

关键词： Sensitivity analysis

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