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International Carpathian control Conference (ICCC)

作者： Iulian Vasiliev Laurentiu Luca Marian Barbu Ramon Vilanova Sergiu Caraman Department of Automation and Electrical Engineering Faculty of Automation Computers Electrical and Electronic Engineering Galati Romania Department of Automation Systems and Advanced Control Research Autonomous University of Barcelona Barcelona Spain

A model of a sewer network for a medium city located in Easter Romania with 250,000 inhabitants is presented in the paper. The model was developed using BSM Sewer software package. An influent was also determined considering the 5 collecting areas and defined on a time- horizon of 28 days. The influent has the following components: a domestic one calculated using the average wastewater production of each inhabitant with specific loads and considering daily, weekly and yearly variations, a pluviometric one proportional to the collecting area surface that includes a rain event and a storm one and an industrial influent (considered only for the 5 th collecting area). The model was tested in different operating conditions of the sewer network considering three operating points given by the values of the valve opening and pumps flows at the tank outlets. The results were analyzed based on 10 performance indicators implemented by researchers from Lund University for BSM Sewer. They showed the need for an optimization of the operating regime of the sewer network in terms of volume and quality of discharged water.

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Triggered Mechanism for Strict Feedback Systems Under Unknown control Directions

Triggered Mechanism for Strict Feedback Systems Under Unknow...

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Asian control Conference

作者： Guilong Liu Hongda Wu Yongliang Yang Wei Xie Weidong Zhang School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Department of Automation Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

This paper presents an event-based asymptotic tracking control scheme designed for strict feedback systems with unknown control directions. The control directions directly determine how the controller acts on the system, thus impacting the system's stability and convergence speed. When the control directions are unknown, it presents a significant challenge in controller design. To tackle this issue, the Nussbaum-type gains are introduced. However, this method increases communication overhead. Hence, an event-triggered mechanism is introduced to alleviate this burden. Additionally, to achieve and maintain desired target states, satisfying control requirements and performance demands, this paper improves the event-triggered mechanism to achieve asymptotic tracking. Finally, the feasibility and effectiveness of the proposed design are validated through a simulation example.

关键词： Asymptotic stability Target tracking Stability criteria control systems Optimization Convergence

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Assessment of Depression Level Based on Multi-Scale 3D Convolution and Expression Videos 3

Assessment of Depression Level Based on Multi-Scale 3D Convo...

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3rd International Conference on Computer Vision and Pattern Analysis, ICCPA 2023

作者： Cao, Qishuang Gao, Junlong Lv, Zeying Li, Mi Department of Automation Faculty of Information Technology Beijing University of Technology Beijing100124 China Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing100124 China Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing100124 China Engineering Research Center of Digital Community Ministry of Education Beijing100124 China

ISBN: (纸本)9781510667563

The automatic diagnosis of depression using deep learning has recently shown significant progress, and 3DCNN has been applied to assessing depression levels from videos. There are two problems to be encountered applying 3DCNN, including insufficient data to train the model and an insufficient diversity of features extracted on a single scale. An approach is presented in this paper to address these issues. Firstly, we augmented the raw data by adding noise and applying rotations to increase the amount of the training set. Secondly, we constructed a 3DCNN to extract more diverse features from multiscales. We evaluated our proposed method on the AVEC 2014. Our approach achieved MAE=7.13 and RMSE=9.16, demonstrating its effectiveness in improving the accuracy of depression assessment compared to existing approaches. © 2023 SPIE.

关键词： Deep learning

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An analysis towards integrated control of wastewater collecting and treatment systems

An analysis towards integrated control of wastewater collect...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Iulian Vasiliev Laurentiu Luca Marian Barbu Ramon Vilanova Sergiu Caraman Department of Automation and Electrical Engineering Dunărea de Jos University of Galati Galati Romania Department of Automation Systems and Advanced Control Research Autonomous University of Barcelona Barcelona Spain

This paper deals with an analysis regarding the effect of Sewer Network operation on the performances of the integrated wastewater collecting and treatment system. The analysis is done by considering various control actions for the output storage tank of the sewer network, comparing a series of performance indicators defined for both subsystems with their “no control” value. Two cases have been considered regarding the control actions for the output storage tank of the sewer network: 1. keeping the output valve at a constant opening and 2. keeping the output valve at the maximum opening possible such as the outflow is limited to a constant value. While the second case did not prove advantageous, the first one showed that lowering the sewer network output valve opening would improve the integrated system performances.

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A Study on Citation Impact with Age Diversity between Disciplines

SSRN

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SSRN 2024年

作者： Sheng, Jingran Liang, Bo Wang, Lin Wang, Xiaofan Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Mechatronic Engineering and Automation Shanghai University Shanghai China School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai China

With the ongoing evolution of scientific research collaboration in depth and breadth, the age distribution among paper collaborators is becoming increasingly varied. Consequently, the question of whether this age distribution affects the quality of collaborative papers has emerged as a significant topic in recent research. In this study, we have compiled and established a comprehensive scientific database, comprising more than 3.5 million papers. These papers, featuring multiple attribute information, originate from over 180 countries. We define the age diversity of a paper based on the academic ages of its co-authors and examine the relationship between age diversity and citation impact using regression analyses. Our findings reveal a clear upward trend in the age diversity of authors over time. The results indicate that the average age diversity of highly cited papers is consistently higher than that of general papers across the entire timeline, spanning four disciplines: economics, engineering, computer science, and physics. Moreover, we demonstrate a significantly positive correlation between age diversity and citation impact. In the aforementioned four disciplines, an increase in the collaborators’ age diversity is associated with a corresponding rise in the paper’s citation impact. This study contributes to a deeper understanding of age-related dynamics in scientific collaboration. It also offers insights into the age distribution of teams, providing practical suggestions for researchers engaged in collaborative endeavors. © 2024, The Authors. All rights reserved.

关键词： Regression analysis

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A Dual Multilevel Adaptive Converter for Microgrid Applications 48

A Dual Multilevel Adaptive Converter for Microgrid Applicati...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Rasoanarivo, Ignace Tehrani, Kambiz Scalcon, Filipe Pinarello Nahid-Mobarakeh, Babak University of Lorraine Lemta Laboratory Nancy France University of Normandy-ESIGELEC-IRSEEM Departement of Energy and Control Rouen France Mc Master University Ontario Canada McMaster University Department of Electrical & Computer Engineering Ontario Canada

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

This article introduces a double multilevel converter with adjustable output voltage levels for microgrid applications. These converters can be easily upgraded to lower or higher levels. This will make it possible to reduce some harmonics, also power losses and voltage stress. In this study, a multilevel inverter is powered by a multi-level DCDC boost converter. The simulation and experimental results are presented in this paper to validate the developed approaches and methodologies. © 2022 IEEE.

关键词： Insulated gate bipolar transistors (IGBT)

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Sliding Window-based Particle Swarm optimization Algorithm for a Sewer Network

Sliding Window-based Particle Swarm optimization Algorithm f...

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European control Conference (ECC)

This paper deals with the optimization of a sewer network using a Sliding Window-based Particle Swarm optimization (PSO) algorithm. The sewer network corresponds to a city with a population of 250,000 inhabitants, its model being implemented in BSM Sewer. The optimization of the sewer network is done with respect to the amount of the discharged water minimizing this way the environmental impact of the wastewater collecting and transport systems. In the simulations, an influent containing three components was considered: domestic, pluviometric and industrial influent. Daily weather forecast for influent was considered. The control strategy proposed in this paper is based on the calculus of the optimal control actions for each individual tank with respect to the liquid level in that tank. The optimal controls were determined over a 24-hour sliding time window. The optimization algorithm was run over a time horizon of 28 days, during which two events were considered, one of rain and one of storm. As the daily forecast of the influent is not 100% accurate, a disturbed influent was considered to observe if the performance of the algorithm is maintained in this scenario. The simulation results were compared with those obtained in the operating mode “no control” (all control actions set at 100%).

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Development of Virtual Reality IoT Module Simulator

Development of Virtual Reality IoT Module Simulator

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IEEE International Workshop on Electromagnetics, Applications and Student Innovation (iWEM)

作者： Chia-Cheng Yu Lung-Fa Wu Hao-Jun Chang Ming-Jong Tsai Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei Taiwan Department of Electrical Engineering Lunghwa University of Science and Technology Taoyuan Taiwan

ISBN: (数字)9798350366976

ISBN: (纸本)9798350366983

The Internet of Things (IoT) is a technology aimed at creating a collective network of various devices and facilitating communication between devices, the cloud, and other devices. With the rapid development of communication technologies, IoT has flourished even more. Hence, engineers need to have a certain level of awareness regarding basic IoT devices. However, due to a lack of knowledge and experience, new engineers may inadvertently cause equipment damage or expose themselves to electric shock when directly operating IoT devices. To overcome this problem, various training systems have been developed to allow engineers unfamiliar with the equipment to learn its operation. As global interest in virtual reality (VR) has grown in recent years, researchers have begun to simulate device operations in virtual environments. This research aims to create a simulator for operating IoT devices through virtual reality. It is based on the ADAM IoT device, along with required sensors such as switches, potentiometers, light barrier sensors, and buzzers. These necessary models were constructed using Blender or Autopano and consolidated into Unity, a cross-platform 2D and 3D game engine. Based on the basic procedures of ADAM, VR technology and C# scripting were utilized to control the connection of each circuit. Operators can freely observe within the virtual environment, serving as a simulator for learning about IoT devices. The screen will display the functions of each instrument in a game-like manner, with step-by-step tutorials including power-on, basic parameter settings, connection of subsequent devices and sensors, and presentation in the virtual space. In case of an operational error, a warning screen will appear in the user's field of view.

关键词： Training Wiring Solid modeling Virtual environments Tutorials Potentiometers User interfaces

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Production Scheduling Application Software for Small Medium Enterprises

Production Scheduling Application Software for Small Medium ...

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2023 International Conference on System Science and engineering, ICSSE 2023

作者： Le, Xuan-Thuyen Nguyen, The-Anh-Tu Pham, Ngoc-Hieu Tran, Ngoc-Huy VNU-HCM Innovation Fablab Ho Chi Minh City Viet Nam VNU-HCM Faculty of Electrical & Electronics Engineering Department of Control & Automation Ho Chi Minh City Viet Nam Cao Thang Technical College Department of Mechatronics Ho Chi Minh City Viet Nam

ISBN: (纸本)9798350322941

Derived from the current implementation of the production plan as well as the production schedule, Enterprise Resource Planning software with a built-in production scheduling algorithm helps optimize the uses of resources, reduce production time, increase productivity, and increase customer service levels. In this research, the available management platform (Odoo) with Python as the main programming language is proposed to build a system to support suitable schedule production plans helps shorten processing time and reduce order delay. In addition, the results are shown in detail and can be flexibly modified manually on the Gantt chart. The feasibility of the production scheduling application is shown by the Gantt chart before and after the scheduling. Moreover, the order delay rate has been reduced from 15% to 3.33%. © 2023 IEEE.

关键词： Production control

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The Caching and Pricing Strategy for Information-Centric Networking with Advertisers’Participation

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China Communications 2024年第3期21卷 283-295页

作者： Zheng Quan Yan Wenliang Wu Rong Tan Xiaobin Yang Jian Yuan Liu Xu Zhenghuan Laboratory for Future Networks Department of AutomationUniversity of Science and Technology of ChinaHefei 230026China Institute of Artificial Intelligence Hefei Comprehensive National Science CenterHefei 230088China Institute of Advanced Technology University of Science and Technology of ChinaHefei 230088China Suzhou Nuclear Power Research Institute Suzhou 215004China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(NEL-PSRPC) China Academy of Electronics and Information Technology of CETCBeijing 100041China

As users’access to the network has evolved into the acquisition of mass contents instead of IP addresses,the IP network architecture based on end-to-end communication cannot meet users’***,the Information-Centric Networking(ICN)came into *** a technical point of view,ICN is a promising future network *** and customizing a reasonable pricing mechanism plays a positive role in promoting the deployment of *** current research on ICN pricing mechanism is focused on paid ***,we study an ICN pricing model for free content,which uses game theory based on Nash equilibrium to *** this work,advertisers are considered,and an advertiser model is established to describe the economic interaction between advertisers and ICN *** solution can formulate the best pricing strategy for all ICN entities and maximize the benefits of each *** extensive analysis and numerical results show that the proposed pricing framework is significantly better than existing solutions when it comes to free content.

关键词： advertisers cache free content Information-Centric Networking pricing strategy

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