2023 31st Mediterranean Conference on Control and Automation (MED)最新文献_第8页

Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition 基于深度学习和矩阵分解的隐私保护医学图像分类

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185748

Andreea Bianca Popescu, C. Nita, Ioana Antonia Taca, A. Vizitiu, L. Itu

{"title":"Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition","authors":"Andreea Bianca Popescu, C. Nita, Ioana Antonia Taca, A. Vizitiu, L. Itu","doi":"10.1109/MED59994.2023.10185748","DOIUrl":"https://doi.org/10.1109/MED59994.2023.10185748","url":null,"abstract":"Deep learning (DL)-based solutions have been extensively researched in the medical domain in recent years, enhancing the efficacy of diagnosis, planning, and treatment. Since the usage of health-related data is strictly regulated, processing medical records outside the hospital environment for developing and using DL models demands robust data protection measures. At the same time, it can be challenging to guarantee that a DL solution delivers a minimum level of performance when being trained on secured data, without being specifically designed for the given task. Our approach uses singular value decomposition (SVD) and principal component analysis (PCA) to obfuscate the medical images before employing them in the DL analysis. The capability of DL algorithms to extract relevant information from secured data is assessed on a task of angiographic view classification based on obfuscated frames. The security level is probed by simulated artificial intelligence (AI)-based reconstruction attacks, considering two threat actors with different prior knowledge of the targeted data. The degree of privacy is quantitatively measured using similarity indices. Although a trade-off between privacy and accuracy should be considered, the proposed technique allows for training the angiographic view classifier exclusively on secured data with satisfactory performance and with no computational overhead, model adaptation, or hyperparameter tuning. While the obfuscated medical image content is well protected against human perception, the hypothetical reconstruction attack proved that it is also difficult to recover the complete information of the original frames.","PeriodicalId":270226,"journal":{"name":"2023 31st Mediterranean Conference on Control and Automation (MED)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124298163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic modelling for non-stationary bearing vibration signals 非平稳轴承振动信号的动态建模

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185723

Federica Galli, V. Sircoulomb, Giuseppe Fiore, G. Hoblos, Philippe Weber

引用次数: 0

Observer-based control MIMO linear systems with providing output in given set 基于观测器的多输入多输出线性系统控制

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185784

Nguyen Ba Huy, Anh Phuong Hoang, Van Quy Phung

引用次数: 0

Cutting Unequal Rectangular Boards from Cylindrical Logs in Wood Products Manufacturing: A Heuristic Approach 木制品制造中从圆木中切割不等长矩形板:一种启发式方法

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185875

Seyed Mohsen Hosseini, Marco Frego, Angelika Peer

{"title":"Cutting Unequal Rectangular Boards from Cylindrical Logs in Wood Products Manufacturing: A Heuristic Approach","authors":"Seyed Mohsen Hosseini, Marco Frego, Angelika Peer","doi":"10.1109/MED59994.2023.10185875","DOIUrl":"https://doi.org/10.1109/MED59994.2023.10185875","url":null,"abstract":"In recent years, the global wood products market has become highly competitive. Due to this, sawmills seek to improve their efficiency throughout their production process. In this regard, improving sawing efficiency through improved cutting strategies is vital for preventing overproduction and waste issues. In this paper, we deal with the sawing optimization problem defined as the problem of cutting rectangular boards from cylindrical logs with circular cross sections. In particular, we consider a sawing pattern that is highly beneficial for wood manufacturing, namely cant sawing. We take into account feasibility, capacity, non-overlapping, and technical constraints of the sawing process. We first develop an exact model of this combinatorial optimization problem as a mixed-integer nonlinear programming (MINLP) problem. However, this exact model involves a high level of combinatorics and requires considerable computation time, becoming computationally intractable as the problem size increases. To deal with this challenge, we develop a constructive heuristic approach, namely strip-bottom-left-fill (SBLF) heuristic, that builds a feasible cutting according to a list of ordered rectangles and a set of placement policies. The simulation results confirm the superiority of our proposed approach over the MINLP model and a state-of-the-art heuristic approach in terms of computational effort as well as memory and search requirements while preserving cutting yield efficiency","PeriodicalId":270226,"journal":{"name":"2023 31st Mediterranean Conference on Control and Automation (MED)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117100733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Sparse Filtering Under Bounded Exogenous Disturbances 有界外源干扰下的鲁棒稀疏滤波

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185883

M. Khlebnikov, A. Tremba

引用次数: 0

Neural network based integral sliding mode control of systems with time-varying state constraints 时变状态约束系统的神经网络积分滑模控制

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185699

Nikolas Sacchi, Edoardo Vacchini, A. Ferrara

引用次数: 0

Position and Speed Observer for PMSM with Unknown Stator Resistance and Inductance 定子电阻和电感未知的永磁同步电机位置和速度观测器

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185839

Kirill Matveev, D. Bazylev, D. Dobriborsci

{"title":"Position and Speed Observer for PMSM with Unknown Stator Resistance and Inductance","authors":"Kirill Matveev, D. Bazylev, D. Dobriborsci","doi":"10.1109/MED59994.2023.10185839","DOIUrl":"https://doi.org/10.1109/MED59994.2023.10185839","url":null,"abstract":"In this paper, we consider the problem of flux, position and speed observer design for permanent magnet synchronous motors (PMSMs) with uncertain parameters. It is assumed that the only measured signals are stator currents and control voltages. The key feature of the proposed approach is that it requires the knowledge of only one structural parameter of PMSM model – the number of pole pairs. Thus, all electrical and mechanical parameters, namely, the stator resistance and inductance, constant flux from permanent magnets, motor inertia and viscous friction coefficient are assumed to be unknown. A new nonlinear parameterization of motor model is proposed that is resulted in the regression model of eleven unknown parameters including the stator resistance and inductance as well as two parameters involved in the state observer design. The dynamic regressor extension and mixing (DREM) estimator is used to provide good performance and fast estimation of unknown parameters which is more efficient than the standard gradient approach in the case of high-dimensional regression models. Simulation results carried out for a typical scenario of motor operation illustrate good performance of the designed observer and parameter estimators.","PeriodicalId":270226,"journal":{"name":"2023 31st Mediterranean Conference on Control and Automation (MED)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124211431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Linearizability problem and invariants for multi-input non-autonomous control systems 多输入非自治控制系统的线性化问题与不变量

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185678

K. V. Sklyar, S. Ignatovich, G. Sklyar

引用次数: 0

A Novel High-Interaction Honeypot Network for Internet of Vehicles 面向车联网的新型高交互蜜罐网络

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185669

Mike Anastasiadis, K. Moschou, Kristina Livitckaia, K. Votis, D. Tzovaras

{"title":"A Novel High-Interaction Honeypot Network for Internet of Vehicles","authors":"Mike Anastasiadis, K. Moschou, Kristina Livitckaia, K. Votis, D. Tzovaras","doi":"10.1109/MED59994.2023.10185669","DOIUrl":"https://doi.org/10.1109/MED59994.2023.10185669","url":null,"abstract":"Along with the evolution of communication technologies, cybersecurity has evolved, and so have its new directions and demands. There is a wide range of tools to detect, analyse, or protect systems from malicious activity. Yet, as new technologies are emerging and maturing, the need for particular domain solutions arises. This paper proposes a methodology for a honeypot network organisation mimicking vital autonomous vehicle sensors inside the Internet of Vehicles (IoV) infrastructure, along with attack propagation patterns analysis based on the logs collected from the honeypots. The discovery of sequential patterns is based on Markov Chain models applied in the honey-farm data. Further, these trained models are applied with graph-based algorithms to discover the interaction patterns between honeypots targeting the discovery of segments that were attacked in series. The intelligence produced from the analysis is used to rank and estimate the relative importance of the honeypots in their framework. The results of our study allowed us to identify common attacks on the IoV system, detect the geolocation of each attacker, and specify the usage of each honeypot node from the attacker’s perspective.","PeriodicalId":270226,"journal":{"name":"2023 31st Mediterranean Conference on Control and Automation (MED)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123304919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Adaptive Compensation Disturbance For Linear Systems With Input Delay* 具有输入延迟的线性系统的自适应补偿扰动

2023 31st Mediterranean Conference on Control and Automation (MED) Pub Date : 2023-06-26 DOI: 10.1109/MED59994.2023.10185777

Tung K. Nguyen, S. Vlasov, D. Dobriborsci, A. Pyrkin

引用次数: 0