2021 25th International Conference on System Theory, Control and Computing (ICSTCC)最新文献_第8页

Iterative Feedback Tuning of Model-Free Controllers 无模型控制器的迭代反馈调谐

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607213

A. Baciu, C. Lazar, C. Caruntu

引用次数: 1

On Dynamic Models for Water Hammer. Criticalities and Challenges 水锤动力学模型研究。关键和挑战

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607136

D. Danciu, D. Popescu, V. Răsvan

引用次数: 0

Centralized model predictive control of the wastewater treatment plant of Seine-Aval 塞纳-阿瓦尔污水处理厂集中模型预测控制

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607261

A. Ayed, D. Dochain, I. Prodan, C. E. Robles-Rodriguez

引用次数: 1

Mission assignment and 3D path planning for a team of UAVs 一组无人机的任务分配和3D路径规划

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9606861

Sofia Hustiu, M. Kloetzer, C. Mahulea

引用次数: 1

Statistical Filters for Processing and Reconstruction of 3D Brain MRI 用于脑MRI三维图像处理与重建的统计滤波器

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607186

Lenuta Pana, S. Moldovanu, L. Moraru

{"title":"Statistical Filters for Processing and Reconstruction of 3D Brain MRI","authors":"Lenuta Pana, S. Moldovanu, L. Moraru","doi":"10.1109/ICSTCC52150.2021.9607186","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607186","url":null,"abstract":"Construction of 3D brain MRI images from 2D brain MRI images is an important step towards an accurate diagnosis and for a correct treatment plan for any disease. The volume segmentation is a challenging task due to the poor quality of DTI brain images. This paper aims to evaluate the efficacy of the spatial statistical Maximum (Max) and Minimum (Min) filters in the construction of 3D brain MRI images. These well-known simple filters were used to analyze the 3D image construction together with noise removal techniques operated by them. Using these semi-processed images, a binarization operation has been applied and a similarity investigation was performed using the Dice score. A dataset of 2D processing images is used for the construction of the 3D images by means of the volume imaging technique. The effectiveness of the 3D construction imaging algorithm was investigated through the mean of the volume computation. 3D volume measurements were performed using ImageJ and a real-time database of brain MRI images that contains image stacks from both healthy and ischemic stroke patients. The Minimum filter provides the best results by keeping the image characteristics and local geometries.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"64 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128019656","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

PFR Kiln Feature Selection for Modelling and Control PFR窑特征选择建模与控制

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607084

Camilo Garcia-Tenorio, A. Wouwer, Thomas Abbate, L. Rijmenans

引用次数: 1

Analysis of a Three - Quarter Wavelength Antenna Array for UHF Satellite Communication Band 一种用于超高频卫星通信波段的四分之三波长天线阵分析

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607178

Cezar-Ion Adomnitei, A. Yu, C. Lesanu, Adrian Done, M. Dimian

引用次数: 0

MPC delay compensation based on maximal controllable sets for real-time driving simulators 基于最大可控集的实时驾驶模拟器MPC延迟补偿

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607083

Martin Soyer, Sorin Olaru, Zhou Fang

{"title":"MPC delay compensation based on maximal controllable sets for real-time driving simulators","authors":"Martin Soyer, Sorin Olaru, Zhou Fang","doi":"10.1109/ICSTCC52150.2021.9607083","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607083","url":null,"abstract":"This paper addresses the constrained control in relationship with time-delayed systems application. We are particularly interested in its potential application to driving simulation. Driving simulators are electro-mechanical structures that reproduce the environment of a driver (steering wheel, pedals, seat, road displayed on a screen,…) and are able to move within a restricted safe area on purpose to reproduce the driver’s feelings and particularly the acceleration ones through the inner ear. Those movements are controlled by the Motion Cueing Algorithm (MCA) which consists in a Model-based Predictive Controller (MPC) converting in closed loop the expected acceleration to displacements all by observing the physical constraints. Its design is realized in a way to minimize the difference between effective felt acceleration and the expected one. In this application context, the movements inertia and communication protocols may induce delays between the computation block of the controller and the response that lead to serious discomforts of the humans in the simulators, known under the Motion Sickness symptoms. In the present paper, we revisit the control formulation for this motion cueing algorithm in a control perspective and propose a control strategy that compensates the delays in way to satisfy real-time constraints during implementation in a simple yet effective manner. The performance and limitation of a such strategy are discussed to raise the awareness on the design trade-off and decisions.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125222607","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

Controlling the Injection of Best-Effort Tasks to Harvest Idle Computing Grid Resources 控制最努力任务的注入以获取空闲的计算网格资源

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607292

Quentin Guilloteau, Olivier Richard, B. Robu, É. Rutten

{"title":"Controlling the Injection of Best-Effort Tasks to Harvest Idle Computing Grid Resources","authors":"Quentin Guilloteau, Olivier Richard, B. Robu, É. Rutten","doi":"10.1109/ICSTCC52150.2021.9607292","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607292","url":null,"abstract":"High Performance Computing systems are facing more and more variability in their performance, related to e.g., Input/Output (I/O) behavior and power consumption: they are less predictable, which requires more run-time management to meet the requirements. This can be addressed following feedback approach, where a management feedback loop, in response to monitored information in the systems, based on analysis of this data, decides to activate system-level or application-level adaptation mechanisms. One such regulation problem is found in the context of CiGri, a lightweight computing grid system which exploits the unused resources of a set of computing clusters. The computing power left over by the execution of premium cluster users’ HPC applications, is used to execute smaller jobs, which are injected as much as the global system allows.The feedback loop which we design has to regulate this injection of jobs in such a way as to avoid overloading of the distributed file system (or file-server), which would be detrimental to the main performance, while self-adapting to variations in load in order to make the best use of available resources. We put in place a mechanism for feedback control in system software by controlling the number of jobs to be sent to the cluster in response to system information about the current number of processed jobs and the file-server load, which has a significant impact of the performance of the priority users jobs. We perform experimental validation by comparing several control solutions.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228984","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: 4

Shape Variance-Based Feature Extraction for Biometric Fingerprint Analysis 基于形状方差的生物指纹特征提取

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607310

M. Gavrilescu

{"title":"Shape Variance-Based Feature Extraction for Biometric Fingerprint Analysis","authors":"M. Gavrilescu","doi":"10.1109/ICSTCC52150.2021.9607310","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607310","url":null,"abstract":"The analysis of biometric data has applications in a variety of fields including security, behavioral studies, surveillance and monitoring. A typical problem when analyzing such data is the identification of meaningful features. The challenge is to find relationships and correlations within the data that produce feature vectors which are robust to noise, acquisition errors, geometric transformations, or to other distortions. To this end, we propose a feature extraction technique that is based on the empirical distribution of shape variance as a fundamental criterion for analyzing and clustering the originating data. We apply the method to an image dataset consisting in fingerprints from multiple users, and show that a description of the fingerprint profile based on the variance of ridge flexion provides robust features with applicability in identification and pattern matching problems. We evaluate the extracted features using k-means clustering, by matching the generated clusters with the distribution of data labels. The features are obtained in an unsupervised manner and allow accurate matching of the data instances while exhibiting robustness to geometric transformations.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128205049","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