2022 26th International Conference on System Theory, Control and Computing (ICSTCC)最新文献_第10页

Adaptive control for the 13C isotope separation process 13C同位素分离过程的自适应控制

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931901

Roxana-Maria Motorga, V. Muresan, M. Abrudean, H. Valean, I. Clitan, M. Ungureșan

{"title":"Adaptive control for the 13C isotope separation process","authors":"Roxana-Maria Motorga, V. Muresan, M. Abrudean, H. Valean, I. Clitan, M. Ungureșan","doi":"10.1109/ICSTCC55426.2022.9931901","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931901","url":null,"abstract":"In this paper a solution required in order to control the 13C isotope concentration inside and at the output of the separation column is presented. The classical control strategies, namely the PI and the PID controllers tunned using the Ziegler-Nichols method, were approached. The system performances were improved using an adaptive mechanism to compute their optimal parameters and a comparison between the results obtained between those methods is presented. The chemical exchange process between the carbamate and the carbon dioxide taking place, it results the enriched 13C isotope. This process is a distributed parameters one, depending on the time constant and on the position in the column's height, and it can be simulated after determining an analytical solution when the process is working in the transitory regime. The control strategies require the implementation of the process modelling – it is desired to reach the 13C isotope concentration by using an optimal amount of monoethanolamine solution, the input flow. The adaptive mechanism consists of a PI controller which determines the proper time constants of the two controllers so the control of the 13C isotope concentration is possible in any point of height in the separation column, improving the performances of the system by reducing the settling time – if the concentration suffers variations at certain moments of time, the adaptive mechanism is also capable of settling with the new requirements.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128023449","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

Deep Learning-based software application for assisting people with Alzheimer's disease 基于深度学习的软件应用程序，用于帮助患有阿尔茨海默病的人

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931849

Catalina Bejan, D. Munteanu, Nicoleta Munteanu

{"title":"Deep Learning-based software application for assisting people with Alzheimer's disease","authors":"Catalina Bejan, D. Munteanu, Nicoleta Munteanu","doi":"10.1109/ICSTCC55426.2022.9931849","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931849","url":null,"abstract":"People with Alzheimer's disease are at risk for malnutrition, overeating and dehydration because short-term memory loss can be confusing. They need a caregiver to make sure they adhere to the main meals of the day and are properly hydrated. The purpose of this paper is to present the need for a developed surveillance system that has the role of regaining their independence through artificial intelligence. The system is based on a unique concept that involves the use of artificial intelligence to recognize human activity in video. The system identifies the times when the monitored person is feeding or hydrating and reminds them by sound messages that they forgot to eat, drink or eat too much. It also allows for the remote supervision and management of the nutrition program by a caregiver. The paper includes the study, search, training and use of models and algorithms specific to the field of computer vision in order to classify images, detect objects in images and recognize human activity in video. The study shows that artificial intelligence used to help people with Alzheimer's is a new concept, but a real help for both them and their caregivers.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124429287","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

Global Trajectory Tracking Control of a Four-Link Robot Manipulator without Velocity Measurements 无速度测量的四连杆机器人机械手全局轨迹跟踪控制

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931803

J. Khusanov, Zilola Yusupova, O. Peregudova

引用次数: 0

Complex Autonomous System Assisting a Manufacturing Technology on a Mechatronics Line. A Digital Twin Approach 辅助机电一体化生产线制造技术的复杂自主系统。数字孪生方法

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931812

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

{"title":"Complex Autonomous System Assisting a Manufacturing Technology on a Mechatronics Line. A Digital Twin Approach","authors":"A. Filipescu, R. Șolea, D. Cernega, D. Ionescu, Georgian Simion, A. Filipescu","doi":"10.1109/ICSTCC55426.2022.9931812","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931812","url":null,"abstract":"The main contribution of this paper is to present the implementation of an assisting technology digital twin based for a processing/reprocessing mechatronics line (P/RML). The implemented technology allows the reprocessing of the workpieces which do not pass the quality test. The digital twin approach considers the P/RML equipped with a complex autonomous system (CAS). The CAS is an autonomous robotic system (ARS) with a robotic manipulator (RM) equipped with a mobile visual servoing system (MVS) used for precise positioning in the technology executed on the laboratory mechatronics line. Modeling and control for the P/RML with CAS are presented. The P/RML has four workstations. The assisting technology uses the complex autonomous system (CAS). The MVS is involved in picking, transporting, and placing processes of the workpieces and it aims at increasing the precision of the RM operations. The reprocessing feature of the system is performed for the processed pieces that do not pass the quality test. To be reprocessed these workpieces are transferred by the CAS to the first station. The control of this complex process is presented. For this flexible manufacturing process, a digital twin control is designed.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130551393","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

From Pepper's Photographic Lessons to Appointment Application 从佩珀的摄影课程到预约申请

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931823

Bogdan Gabriel Draghici, Alexandra Elena Dobre, Marius Misaros, O. Stan, L. Miclea

引用次数: 0

Optimal control for solar tracking systems 太阳能跟踪系统的最优控制

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931807

Daniel Băncilă, D. Popescu, Ştefan Colbu, Adrien Megard, Matthieu Blanchard

引用次数: 0

Using Knowledge Transfer for Neural Network Architecture Optimization with Improved Training Efficiency 利用知识转移进行神经网络结构优化，提高训练效率

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931898

M. Gavrilescu, Florin Leon

{"title":"Using Knowledge Transfer for Neural Network Architecture Optimization with Improved Training Efficiency","authors":"M. Gavrilescu, Florin Leon","doi":"10.1109/ICSTCC55426.2022.9931898","DOIUrl":"https://doi.org/10.1109/ICSTCC55426.2022.9931898","url":null,"abstract":"Neural networks have demonstrated their potential for solving a wide range of real-world problems. While capable of learning correlations and relationships among complex datasets, neural network training and validation are often tedious and time-consuming, especially for large, high-dimensional datasets, given that sufficient models should be run through the validation pipeline so as to adequately cover the hyperparameter space. In order to address this problem, we propose a weight adjustment method for improving training times when searching for the optimal neural network architecture by incorporating a knowledge transfer step into the corresponding pipeline. This involves learning weight features from a trained model and using them to improve the training times of a subsequent one. Considering a sequence of candidate neural networks with different hyperparameter values, each model, once trained, serves as a source of knowledge for the next one, resulting in improved overall training times. We test our approach on dataset of various sizes, where we obtain reduced total training times, especially when small learning rates are used for finely-tuned convergence.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133744635","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

Automatic Load Estimation Solution for Adaptive Bang-Bang Control 自适应Bang-Bang控制的自动负荷估计解决方案

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931773

A. Berciu, E. Dulf, C. Festila

引用次数: 0

System-Identification-Based Automatic Brain Tissue Classification for Stereoelectroencephalography 基于系统识别的立体脑电图自动脑组织分类

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/ICSTCC55426.2022.9931852

Mariana Mulinari Pinheiro Machado, A. Voda, G. Besançon, G. Becq, O. David, P. Kahane

引用次数: 0

2020 24th International Conference on System Theory, Control and Computing (ICSTCC) 2020第24届系统理论、控制与计算国际会议(ICSTCC)

2022 26th International Conference on System Theory, Control and Computing (ICSTCC) Pub Date : 2022-10-19 DOI: 10.1109/icstcc39008.2016

Ieee Staff

引用次数: 2