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Glycemic control metrics for in silico testing of artificial pancreas systems

Glycemic control metrics for in silico testing of artificial...

引用

International symposium on computational intelligence and Informatics

作者： Kamilla Novák Levente Kovács Dániel András Drexler Gy¨Rgy Eigner Physiological Controls Research Center Óbuda University Biomatics and Applied Artificial Intelligence Institute John von Neumann Faculty of Informatics Óbuda University Applied Informatics and Applied Mathematics Doctoral School Óbuda UniversityBécsi street 96/B Budapest Hungary

ISBN: (纸本)9798350398830

People with diabetes, clinicians and researchers alike need appropriate metrics to manage diabetes, assess the quality of blood glucose control, and guide the development of new therapies and control methods. In this paper, we review some commonly used metrics with their advantages and disadvantages. We analyze the glucose data of a CGM user to compare the results of different metrics and determine which of these gives the most complete picture of glycemic control in silico trials of artificial pancreas systems.

关键词： Measurement Mechatronics Medical treatment Robot sensing systems Glucose Diabetes Pancreas

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Integrating Agent-Based control for Normal Operation in Interconnected Power and Communication Systems Simulation

Integrating Agent-Based Control for Normal Operation in Inte...

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ieee symposium Series on computational intelligence (SSCI)

作者： Malin Radtke Christoph Stucke Malte Trauernicht Carsten Montag Frauke Oest Emilie Frost Jörg Bremer Sebastian Lehnhoff Departement of Computing Science University of Oldenburg Germany

Power grids must be stable and reliable, but the growing importance of intelligent control in smart grids creates new challenges due to the increasing dependence on communication networks. This paper investigates the influence of communication on power systems in a future scenario. The simulation environment contains a power grid of a medium-sized city in northwest Germany, in the year 2035, where the normal operation of the power system is disturbed by increased communication traffic. The power and communication networks are integrated into a co-simulation environment, that implements smart grid services in an agent-based control structure. In a case study, multiple scenarios are compared that differ in the configuration of the communication network, to show how the simulation environment can be used to study the interactions between power and communication networks.

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Design of a Power Flow Convergence Discriminator Based on Physical Information Model

Design of a Power Flow Convergence Discriminator Based on Ph...

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Computer Applications and Information Technology (ISCAIT), International symposium on

作者： Jun-Wei Liu Xian-Long Lv Tianqi Zhao Huan Xie Xin-Gong Cheng Chuang Xu Cong-Hao Li De-Bao Wang School of Automation and Electrical Engineering University of Jinan Jinan China Flexible Resource-Network-Demand-Storage Cooperation and control Laboratory State Grid Jibei Electric Power Company Limited Beijing China

ISBN: (数字)9798331542856

ISBN: (纸本)9798331542863

As the structure of power systems becomes increasingly complex, the number of possible operating modes in power systems increases, leading to a sharp rise in the difficulty and computational load of traditional power flow calculations. Meanwhile, the application of artificial intelligence technology in new power systems still lacks rationality, making it challenging to apply in real grid operations. This paper proposes a power flow convergence discriminator based on a physical information model, utilizing a multi-Layer Perceptron network to implement a voltage predictor that satisfies the equality constraints of power flow calculations. Through power flow networks and residual calculations, it meets the inequality constraints to ensure the feasibility of actual operations. Simulations were conducted on the ieee 30-bus system, and the results indicate that the power flow discriminator can accurately distinguish five types of power flow samples, achieving a testing accuracy of $96 \%$.

关键词： Accuracy computational modeling Voltage Predictive models Robustness Power systems Trajectory Load flow Convergence Testing

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Fixed-Time-Synchronized Consensus Tracking of Multi-Agent Systems 5

Fixed-Time-Synchronized Consensus Tracking of Multi-Agent Sy...

引用

5th International Conference on Intelligent Autonomous Systems, ICoIAS 2022

作者： Jiang, Yulong Hu, Wenfeng School of Automation Central South University Changsha China

ISBN: (数字)9781665498388

ISBN: (纸本)9781665498388

This paper investigates the fixed-Time-synchronized consensus tracking problem for multi-Agent systems with undirected topology. A nonlinear distributed control law for first-order multi-Agent systems is proposed based on norm-normalized sign function, with which all the elements of all the agents' states track the leader's state at the same time and in fixed time. Then, the corresponding results are extended to second-order multi-Agent systems by adopting the terminal sliding mode control method. Finally, numerical simulations are performed to verify the theoretical results in this paper. © 2022 ieee.

关键词： Sliding mode control

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Measuring Noticeability: Multi-scale Context Aggregation for Prioritizing Video Anomalies

Measuring Noticeability: Multi-scale Context Aggregation for...

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ieee International Conference on Fuzzy Systems (FUZZ-ieee) / ieee World Congress on computational intelligence (ieee WCCI) / International Joint Conference on Neural Networks (IJCNN) / ieee Congress on Evolutionary Computation (ieee CEC)

作者： Zhong, Yingying Doggett, Erika Varis Cui, Weichu Qi, Keyu Zhou, Hailing Tang, Binghao Wolak, Anna Nguyen, David T. Nvidia Shanghai Peoples R China Walt Disney Studios Burbank CA USA Accenture Labs Shenzhen Peoples R China Factor13 Inc Seattle WA USA Walt Disney Studios Los Angeles CA USA

ISBN: (数字)9781728186719

ISBN: (纸本)9781728186719

Determining how impactful an anomaly is on the viewing experience of an audience is important to production studios, content creators, and content distributors. However, judging the impact of each anomaly is a highly manual and subjective task. To support automation of this, we propose the use of noticeability and introduce a method of prediction. We employed a psychophysical experimental method to capture the impact of various anomalies across various images. We then developed a multi-scale context aggregation model, trained on that data, to predict the noticeability of anomalies on novel images. This noticeability prediction can then be used to prioritize anomalies and ensure that remediation efforts are spent where it would most benefit the audience experience.

关键词： Video Quality control Just Noticeable Difference (JND) Local Sensitivity Deep Learning

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Automotive Scenarios for Trajectory Tracking using Machine Learning Techniques and Image Processing

Automotive Scenarios for Trajectory Tracking using Machine L...

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International symposium on Applied computational intelligence and Informatics ( SACI)

作者： Delia Moga Ioan Filip Department of Automation and Applied Informatics Politehnica University of Timisoara Timisoara Romania

This paper presents a study on using innovative machine learning techniques that can be applied in automotive traffic scenarios to increase a vehicle’s level of autonomy. The overtaking traffic scenario is treated for predicting the vehicle trajectory when overtaking another vehicle and the data is obtained by image processing using a video camera. Two different methods are compared, first by using classic tracking methods and a Kalman filter (as an adaptive filter) and second by using a machine learning technique - Support Vector Machine. The present article uses as inputs the data received from the camera and focuses on tracking selected objects and estimating their position using mainly image processing in automotive scenarios. The main purpose of this work is to experiment and compare different tracking modes to determine those that have the best performances in terms of runtime, memory usage and prediction accuracy.

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Simulation of an electric conveyor drive using Simulink Matlab

Simulation of an electric conveyor drive using Simulink Matl...

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International symposium on Applied Machine intelligence and Informatics (SAMI)

作者： Anatoliy Kulikov Vladimir Kaverin Amir Mosavi The Automation of Production Processes Department Abylkas Saginov Karaganda Technical University Karaganda Kazakhstan John von Neumann Faculty of Informatics Obuda University Budapest Hungary Ludovika University of Public Service Budapest Hungary

The operation of belt conveyors in the mining industry faces several issues, such as premature wear of mechanical components and increased energy consumption. This article develops a simulation model of a frequency-controlled asynchronous electric drive for a belt conveyor using MATLAB/Simulink. The control system synthesis is performed using the root locus method with the Vyshnegradsky diagram. Dynamic processes occurring in the conveyor's electric drive during startup under nominal load are investigated. The results show that the minimum overshoot of the electromagnetic torque while meeting the specified requirements for the system is achieved with Vyshnegradsky parameters A=2.5 and B=3.1. Experiments confirm that the accuracy of the control system output, calculated based on the approximate transient response, is acceptable, with a deviation of 0.014%.

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Considerations Regarding The Perturb And Observe Method To control High-Power Wind Systems Operating At Variable Wind Speeds 16

Considerations Regarding The Perturb And Observe Method To C...

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16th ieee International symposium on Applied computational intelligence and Informatics, SACI 2022

作者： Sorandaru, Ciprian Musuroi, Sorin Ancuti, Mihaela Codruta Ancuti, Razvan Stanciu, Alin Marius Lazar, Meda Alexandra University Politehnica Timisoara Department of Electrical Engineering Timisoara Romania University Politehnica Timisoara Department of Computer Sciences and Information Technology Timisoara Romania

ISBN: (数字)9781665481250

ISBN: (纸本)9781665481250

In this study, the situations in which the Perturb and Observe Method (POM) can be used to determine the points in which the wind turbine operates at maximum power were examined. Among them, the points in which there are large fluctuations in wind speed over time were taken into consideration. The performance of management systems in wind power plants operating at variable wind speeds is determined using data received through measurements (wind speed values). The control systems based on the Perturb and Observe Method were analyzed and compared with the ones based PI-type (proportional-integrator) regulators, resulting in that the first ensures the wind turbine operates in the optimal area from the energy point of view. The conditions under which the Perturb and Observe Method can be applied have been determined here. The maximum power point coordinates (MPP) were also estimated. The connection between the optimal mechanical angular velocity and the wind speed was used to assess the quality of the adjustment. In this case, the obtained results were based on experimental data from the wind turbines in the Dobrogea area. The optimum area from the energy point of view is determined by changing the load of the electric generator and therefore, the new coordinates of the maximum power point of the turbine are estimated, e.g. the maximum power value and the optimal mechanical angular velocity. © 2022 ieee.

关键词： Wind turbines

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Componentization of Thermo-Fluid Coupling Simulation Based on LBM

Componentization of Thermo-Fluid Coupling Simulation Based o...

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2025 International Conference on Electrical automation and Artificial intelligence, ICEAAI 2025

作者： Chen, Xue Wu, Xuesong Cao, Jianwen Ye, Baoping Institute of Software Parallel Software and Computational Science Laboratory Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798331506797

The solution of the collision-propagation equation plays an important role in the thermal-fluid multi-physics coupling simulation. Through the collision-propagation operation of different physical quantities, LBM can integrate physical fields such as fluid and thermal into the same framework to achieve coupling solution. In this paper, the collision-propagation equation is realized through LBM, and the simulation process is further componentized to improve the efficiency and reusability of the simulation. The specific component library includes: the main control module, geometric modeling of simulation field, simulation parameter setting, simulation computing, and visualization component. In LBM, since the particle motion on each lattice is independent, the componentized approach makes it easier to assign simulation tasks to multiple processors or compute nodes, thereby increasing computational efficiency. © 2025 ieee.

关键词： collision-propagation Componentization coupling LBM thermo-fluid

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Smartphone–controlled industrial robots: Design and user performance evaluation

Smartphone–controlled industrial robots: Design and user pe...

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International symposium on computational intelligence and Informatics

作者： Adrienn Deák Zoltán Szántó Áron Fehér Lőrinc Márton Department of Electrical Engineering Sapientia Hungarian University of Transylvania Corunca Romania

ISBN: (纸本)9798350398830

This work presents a solution for distant control of industrial robots using mobile devices. The developed application can monitor the motion of the robot based on video and sensor information, it can send commands and control scripts to the robot, and it ensures the jogging–like manual control of the robot. In addition to the aforementioned functionalities, the application can analyze the teleoperation performances of the user. A set of performance metrics were introduced to rate user performances. They are useful to evaluate and educate remote manual robot control techniques. Experimental measurements are also presented to show the applicability of the developed remote control application and user performance evaluation method.

关键词： Service robots Robot control Human factors Robot sensing systems Manipulators Software Software reliability

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