2021 25th International Conference on System Theory, Control and Computing (ICSTCC)最新文献_第3页

ARIMA and Wavelet-ARIMA Models for the Signal Produced by Ultrasound in Diesel 柴油机超声信号的ARIMA和小波-ARIMA模型

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607321

A. Bărbulescu, C. Dumitriu

引用次数: 5

Analysis of alternative flat representations of a UAV for trajectory generation and tracking 用于轨迹生成和跟踪的无人机备选平面表示分析

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607073

H. Do, I. Prodan, F. Stoican

引用次数: 3

On Semi-Global Output Position Feedback Trajectory Tracking Control of a Multi-Link Revolute Joined Robotic Manipulator 多连杆回转机器人半全局输出位置反馈轨迹跟踪控制

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607158

A. Akhmatov, Jamshid Buranov, J. Khusanov, O. Peregudova

引用次数: 1

Skin Lesions Asymmetry Estimation Using Artificial Neural Networks 基于人工神经网络的皮肤病变不对称性估计

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607133

F. Damian, S. Moldovanu, L. Moraru

{"title":"Skin Lesions Asymmetry Estimation Using Artificial Neural Networks","authors":"F. Damian, S. Moldovanu, L. Moraru","doi":"10.1109/ICSTCC52150.2021.9607133","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607133","url":null,"abstract":"Artificial Neural Networks (ANNs) are efficient tools successfully used to solve a regression problem. In this paper, the skin lesions are analyzed using a feedforward neural network (FFN) with Levenberg-Marquardt Backpropagation (LMBP) training algorithm as a supervised learning method. The proposed model uses four combinations of inputs built on the data from type of skin lesion/database/method of asymmetry computation and searches for four combination of desired outputs such as the type of skin lesion/database/ method of asymmetry computation. Also, the number of hidden neurons has been changed to reach the condition of maximum regression coefficient (R) and minimum mean squared error (MSE). The proposed FFN-LMBP model was validated with 24 images and tested with another 24 images. This study is centered on the most relevant and widely used feature in dermoscopic images, i.e., asymmetry. Two algorithms are implemented to extract handcraft asymmetry values: one algorithm computes the asymmetry of the geometric characteristics (GAF) using the geometric shape of the lesions, and the second one computes the asymmetry based on histogram projections (AHP) on the horizontal and vertical axes. The MED-NODE and PH2 databases are used for skin lesion detection.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"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":"123781599","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

Using convolutional neural network online estimators for predicting pain-level variability enables predictive control of anesthesia 使用卷积神经网络在线估计器来预测疼痛水平的可变性，从而实现麻醉的预测控制

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607270

Joren Heynen, D. Copot, M. Ghita, C. Ionescu

{"title":"Using convolutional neural network online estimators for predicting pain-level variability enables predictive control of anesthesia","authors":"Joren Heynen, D. Copot, M. Ghita, C. Ionescu","doi":"10.1109/ICSTCC52150.2021.9607270","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607270","url":null,"abstract":"This work presents the results of convolutional neural networks trained in various procedures on data recordings from conscious, communicative patients recovering in post-surgery units. A prototype device measures non-invasively the bioimpedance by placing 3M patch electrodes in the hand palm of the patient. From the time signals acquired, a time-frequency algorithm is applied to extract the spectrogram 3D graphical model every second, during 4-6 hours. The aim was to detect whether artificial intelligence (AI) tools may offer a possible solution to obtain prediction of increasing pain levels in an objective way as to avoid the subjectivity of self-evaluation (currently golden standard in practice). The results obtained indicate a 73% accuracy with 86% successful detection of pain correlation to self-reported pain level. Specific training procedures have shown they are able to predict changes in pain levels which could be subsequently used in control algorithms, especially those prediction-based, which could greatly benefit from such complementary information. The discussion in this paper also puts the use of AI tools within the context of depth of anesthesia regulation, as AI tools greatly aid to minimize uncertainty in the loop dynamics.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"5 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":"134577437","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: 3

CAS and IRM Integrated into a Multifunctional Flexible Manufacturing Technology on an A/D/RML 集成CAS和IRM的a /D/RML多功能柔性制造技术

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607127

D. Ionescu, D. Cernega, R. Șolea, A. Filipescu, G. Simion, A. Filipescu

{"title":"CAS and IRM Integrated into a Multifunctional Flexible Manufacturing Technology on an A/D/RML","authors":"D. Ionescu, D. Cernega, R. Șolea, A. Filipescu, G. Simion, A. Filipescu","doi":"10.1109/ICSTCC52150.2021.9607127","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607127","url":null,"abstract":"The aim of this paper is to model, control and implement an assisting technology for a flexible assembly, disassembly and repair on a mechatronic line (A/D/RML), using autonomous robotic system (ARS), two robotic manipulators (RMs) and visual servoing system (VSS).The A/D/RML consists of 6-work stations (WS) mechatronics line (ML) connected to a flexible cell (FC) equipped with a 6-DOF ABB IRM industrial robotic manipulator (IRM) and a Complex Autonomous System (CAS)-used for manipulation and transport. The structure of the CAS consists of 2DW/1FW wheeled mobile robot (WMR) equipped with a 7-DOF robotic manipulator (RM). Sliding mode control (TTSMC) is used to control WMR. On the end effector of the RM, a mobile (eye in hand) visual servoing system (VSS) is mounted, used for precise positioning of RMs - to catch and release the workpiece. If the workpiece does not pass the quality test, the process handles it by transporting back from the storage unit to the flexible cell (FC) where it will be considered for reprocessing - repair or disassembling with recovery of replacement parts. The recovered or replaced components are taken over by the CAS from disassembling location and transported to the appropriate storage depots, to be reused in the further assembly processes. Technology operates synchronously with signals from sensors and from VSS “eye in hand” camera, located at the end effector of the RM. A hybrid PLC architecture is used-consists of 2 PLC controlled subsystems/ modules with specific tasks for all the manufacturing stages features both a decentralized, distributed architecture and a centralized architecture","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"143 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":"133827874","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

Reinforcement Learning for the Control of Bacterial Growth Bioprocess 用于细菌生长生物过程控制的强化学习

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607291

Gheorghe Bujgoi, D. Sendrescu, Daniel Gagiu

引用次数: 0

Chemical Non-Isothermal Processes-Stability study and Optimal Control 化学非等温过程稳定性研究与最优控制

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607060

Daniel Băncilă, D. Popescu, A. Chiriac, Ştefan Colbu, S. Olteanu, C. Petrescu

{"title":"Chemical Non-Isothermal Processes-Stability study and Optimal Control","authors":"Daniel Băncilă, D. Popescu, A. Chiriac, Ştefan Colbu, S. Olteanu, C. Petrescu","doi":"10.1109/ICSTCC52150.2021.9607060","DOIUrl":"https://doi.org/10.1109/ICSTCC52150.2021.9607060","url":null,"abstract":"The non-isothermal processes are typical for many important chemical industrial installations. These processes are preserved at very high conversion rates, in a safe environment, in order to attain optimal productivity. The aim of our work addresses the stability of the stationary operating regime for this type of process, represented by the Continuous Stirred Tank Reactor CSTR, the heart of many chemical and petrochemical installation. Starting by developing the mathematical model, the geometrical conditions of stability for non-isothermal CSTR are evaluated. These conditions offer stable operating requirements for the CSTR, obtained for small variations around a stationary point. Further, for the linearized mathematical model, the stability of CSTR is confirmed using the Lyapunov stability analysis, and the stability region is estimated. In the end, an optimal control system is proposed and this solution is proven to ensure the wanted performances for the exothermal reactor. Also, the efficiency of the theoretical approach is confirmed by numerical study cases and simulations.","PeriodicalId":413433,"journal":{"name":"2021 25th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"24 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":"116843524","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

Trajectory planning for automated buses in parking areas 自动公交停车区域轨迹规划

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607247

Asier Martin, Ray Lattarulo, A. Zubizarreta, Joshué Pérez, P. López-García

引用次数: 2

Optimal Tracking Problem for Linear Systems with Variable Disturbances 变扰动线性系统的最优跟踪问题

2021 25th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2021-10-20 DOI: 10.1109/ICSTCC52150.2021.9607138

C. Botan, F. Ostafi

引用次数: 1