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24th International Conference on control Systems and computer Science, CSCS 2023

作者： Boicu, Mihaela-Gabriela Stamatescu, Grigore Fudulu, Cosmin-Florin Dobrea, Marius-Alexandru Vasluianu, Mihaela Neculoiu, Giorgian University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Romania

ISBN: (纸本)9798350313390

This paper presents the development of a system that uses fuzzy logic in order to evaluate the thermal comfort conditions expressed by means of a score by the occupants of an office room The inputs of the system are represented by three datasets relevant to the study: the air temperature, the positioning of the occupant and the level of activity carried out by the occupant. Based on the comfort score obtained, the HVAC system located at the room level will maintain a comfortable environment. The proposed solution also contributes to the minimization of energy consumption in buildings. In order to collect the data sets necessary for the study, we used the *** module as a wearable device. © 2023 IEEE.

关键词： Energy efficiency

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Energy Efficient IoT Air Quality Monitoring System 24

Energy Efficient IoT Air Quality Monitoring System

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24th International Conference on control Systems and computer Science, CSCS 2023

作者： Petrica, Silvian-Marian Fagarasan, Ioana Arghira, Nicoleta Stamatescu, Iulia Neculoiu, Giorgian Flangea, Oana University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania Technical University of Civil Engineering of Bucharest Faculty of Hidrotechnics Romania

ISBN: (纸本)9798350313390

Air pollution is one of the major environmental issues discussed lately due to its influence on human health. Particular attention is paid to air quality monitoring today and most developed societies have implemented weather and air quality monitoring stations in various locations inside or outside cities to monitor and reduce the effects of poor air quality. Modern standards and sensors have started to be used in recent years to monitor air quality. Conventional air quality monitoring systems, on the other hand, are not able to provide real-time air quality data with acceptable spatial and temporal resolutions at a low cost, so the challenge is to achieve low-cost and energy-independent solutions. Using modern technologies, e.g. Internet of-things (IoT), an original approach is proposed for building an air quality monitoring system considering low cost equipment and efficient energy autonomous approach. Smart cities have successfully implemented air quality monitoring systems that combine both hardware and software. The results presented in the paper show the viability of the proposed solution, exposing the designed solution and different ways of presenting air quality monitoring. © 2023 IEEE.

关键词： Energy efficiency

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Estimating the AGV load and a battery lifetime based on the current measurement and random forest application

Estimating the AGV load and a battery lifetime based on the ...

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2023 IEEE International Conference on Big Data, BigData 2023

作者： Hanzel, Krzysztof Grzechca, Damian Ziebinski, Adam Chruszczyk, Lukas Janus, Artur Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Telecommunications and Teleinformatics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Electronics Electrical Engineering and Microelectronics Gliwice Poland Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Department of Distributed Systems and Informatics Devices Gliwice Poland Silesian University of Technology Student of Electrical EngineeringFaculty of Electrical Engineering Gliwice Poland

ISBN: (纸本)9798350324457

The paper describes the energy consumption from the battery based on the current measurements for various cases, i.e., speed (PWL adjustment) and loads. The main purpose of the research is to have additional and reliable information about power consumption and battery life estimation for autonomous guided vehicles (AGV). The authors propose a two-step algorithm. In the first step, a linear classifier was proposed. Then, the KNN classifier was tested;however, it did not give satisfactory results, so it was finally decided to use the random forest to estimate the load and PWL. The time domain current measurement is evaluated, and the beforementioned algorithms process the selected statistical measures. It has been proven that a two-step algorithm allows for achieving high accuracy. Based on the current observation, the paper is a good starting point for further investigation of the AGV because it is usually implemented in the AGV - so it does not require additional hardware. Moreover, it can lead to better energy management and increase battery lifetime. © 2023 IEEE.

关键词： AGV load estimation machine learning Prediction of energy consumption random forest

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Analysis of selected dielectric parameters of insulating liquids 23

Analysis of selected dielectric parameters of insulating liq...

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23rd International Scientific Conference on Electric Power engineering, EPE 2023

作者： Pluzek, Aleksandra Nagi, Lukasz Koziol, Michal Zygarlicka, Malgorzata Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Department of Electrical Power and Renewable Energy Opole Poland Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Department of Computer Science Opole Poland

ISBN: (纸本)9798350335934

During the last few years, there has been a growing interest in the topic of using natural or synthetic esters as an alternative to mineral oils in oil transformers due to the easier way to obtain them and their ability to exhibit better electrical properties. In addition, more and more researchers are describing in their work that doping esters with nanoparticles is capable of further improving these properties. Therefore, in the current work, it was decided to see what effect the addition of a hydrophobic carbon shell iron nanoparticle to ORLEN mineral oil and Midel 7131 synthetic ester would have on selected electrical parameters of the insulating fluid, i.e. breakdown voltage and electrical strength. © 2023 IEEE.

关键词： Nanoparticles

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Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling

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Environment International 2025年 199卷 109496页

作者： Ahmed, Maqsood Zhang, Xiang Shen, Yonglin Ahmed, Tanveer Ali, Shahid Ali, Ayaz Gulakhmadov, Aminjon Nam, Won-Ho Chen, Nengcheng National Engineering Research Center of Geographic Information System School of Geography and Information Engineering China University of Geosciences Wuhan430074 China Department of Computer Science School of Engineering and Digital Sciences Nazarbayev University Astana Kazakhstan Software College Northeastern University Shenyang110169 China Department of Cybernetics Nanotechnology and Data Processing Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland Research Center of Ecology and Environment in Central Asia Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences Urumqi830011 China Institute of Water Problems Hydropower and Ecology of the National Academy of Sciences of Tajikistan Dushanbe734042 Tajikistan School of Social Safety and Systems Engineering Institute of Agricultural Environmental Science National Agricultural Water Research Center Hankyong National University Anseong Korea Republic of

Air quality is crucial for both public health and environmental sustainability. An efficient and cost-effective model is essential for accurate air quality predictions and proactive pollution control. However, existing research primarily focuses on single static image analysis, which does not account for the dynamic and temporal nature of air pollution. Meanwhile, research on video-based air quality estimation remains limited, particularly in achieving accurate multi-pollutant outputs. This study proposes Air Quality Prediction-Mamba (AQP-Mamba), a video-based deep learning model that integrates a structured Selective State Space Model (SSM) with a selective scan mechanism and a hybrid predictor (HP) to estimate air quality. The spatiotemporal forward and backward SSM dynamically adjusts parameters based on input, ensures linear complexity, and effectively captures long-range dependencies by bidirectional processing of spatiotemporal features through four scanning techniques (row-wise, column-wise, and their vertical reversals), which allows the model to accurately track pollutant concentrations and air quality variations over time. Thus, the model efficiently extracts spatiotemporal features from video and simultaneously performs regression (PM2.5, PM10, and AQI), and classification (AQI) tasks, respectively. A high-quality outdoor hourly air quality dataset (LMSAQV) with 13,176 videos collected from six monitoring stations in Lahore, Pakistan, was utilized as the case study. The experimental results demonstrate that the AQP-Mamba significantly outperforms several state-of-the-art models, including VideoSwin-T, VideoMAE, I3D, VTHCL, and TimeSformer. The proposed model achieves strong regression performance (PM2.5: R2 = 0.91, PM10: R2 = 0.90, AQI: R2 = 0.92) and excellent classification metrics: accuracy (94.57 %), precision (93.86 %), recall (94.20 %), and F1-score (93.44 %), respectively. The proposed model delivers consistent, real-time performance with a latency

关键词： Air quality

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Setting up a Distributed control System Laboratory 11

Setting up a Distributed Control System Laboratory

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11th International Conference and Exposition on Electrical And Power engineering, EPE 2020

作者： Postovei, Danut Adrian Bulac, Constantin Tristiu, Ion Camachi, Balduino University Politehnica of Bucharest Faculty of Power Engineering Bucharest Romania University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania

ISBN: (纸本)9781728181264

This paper presents a practical laboratory for student education purpose in Distributed control Systems, with focus on applications for high voltage transmission substations. The monitoring, control and protection part is realized with a software platform and IED devices manufactured by AREVA TD France, while the primary equipment, like circuit breakers and disconnectors are simulated with latched relays. The system architecture and communication network are reproducing a real one usually used in transmission substations. The implementation of this laboratory, both through specific laboratory works and experiments, makes the theoretical part to be supported by a practical experience, resulting in future graduates with added value in the electric power industry. © 2020 IEEE.

关键词： Laboratories

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A compact size signal conditioning circuit for thermocouple linearization and amplification for industrial IoT devices 15

A compact size signal conditioning circuit for thermocouple ...

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15th RoEduNet International Conference, RoEduNet 2016

作者： Trancǎ, Dumitru Cristian Rosner, Daniel Surpateǎnu, Adrian Pešić, Miroljub T. Automatic Control and Computer Science Faculty University Politehnica of Bucharest Romania Faculty of Electronic Engineering Department for Measurements University of Niš Niš Serbia

ISBN: (纸本)9781509053988

As the Industrial Internet of Things evolves, ever more data acquisition devices are integrated inside factories, silos, agriculture facilities, industrial facilities, cars and many other applications. One of the most common measured parameter, that also creates the most problems in specific applications, is temperature. There is an abundance of analog temperature transducers, available for engineers and researchers, with varying precision, temperature range, linearity, power consumption, and cost. Besides invasive temperature sensors and transducers, in recent years microwave based temperature measurement methods have been developed. The current paper presents one method of reading thermocouples without the need of a high resolution ADC or digital calculation of complex polynomial functions. The article is focused on the linearization circuit, measurement results, errors and presents a short application using NI WSN nodes as part of IIoT. © 2016 IEEE.

关键词： Thermocouples

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Programming of sequential control systems using functional block diagram language

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IFAC-PapersOnLine 2015年第4期48卷 330-335页

作者： M. Wcislik K. Suchenia M. Łaskawski Faculty of Electric Engineering Automatic Control and Computer Science Kielce University of Technology ∗Faculty of Electric Engineering Automatic Control and Computer Science Kielce University of Technology

The paper deals with the methodology of creation of sequential control system programs in the language of function block diagrams (FBD). After analyzing basic blocks of the sequential functions chart (SFC) language, the form of state block and implementation of branching or connecting paths of sequences are formulated using the FBD language. It is a simplification of the application of the SFC language. Our method of creating the sequential system ensures a compact form of the final program and is particularly useful for small PLC controllers. The method is illustrated by example of the simple sequential control system.

关键词： sequence control programmable logic controllers block diagrams flip-flops decoders

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A comparison of particle swarm optimization and differential ant stigmergy algorithm

A comparison of particle swarm optimization and differential...

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2012 16th International Conference on System Theory, control and Computing, ICSTCC 2012

作者： Şerbencu, A.E. Şerbencu, A. Control Systems and Electrical Engineering Departament Automatic Computer Science Electrical and Electronic Engineering Faculty Dunarea de Jos University of Galati Romania

ISBN: (纸本)9786068348483

Differential Ant Stigmergy Algorithm (DASA) is a recent meta-heuristic method which represents an adaptation of Ant Colony Optimization (ACO) to continuous optimization problems. Other adaptations of ACO to continuous optimization exist but DASA seems to be very efficient for the class of highdimension real-parameters optimization problems, becoming a competitor to more classical methods such as Particle Swarm Optimization (PSO). The PSO is a meta-heuristic which is also inspired from insects' life as ACO. Even both methods use a population of entities, the memory of PSO is larger as those of DASA. DASA uses just one current solution around which the population search and the difference that generated last improvement. PSO stores the previous best position and velocity of every particle. This paper attempts to examine if an elitist version of DASA has at least the same effectiveness (finding the true global solution) as PSO, but with significantly better efficiency (less function evaluation). The performance comparison of DASA and PSO is implemented using a set of six test functions well known for their difficulty. © 2012 Dunarea de Jos University.

关键词： Ant colony optimization

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The Optimization of the Dynamic Regime of the Asynchronous Vectorial AC Motor in Flying Shear 7

The Optimization of the Dynamic Regime of the Asynchronous V...

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7th IEEE International Symposium on Electrical and Electronics engineering, ISEEE 2021

作者： Solomon, Marius-George Gaiceanu, Marian ' Dunǎrea de Jos' University of Galati Faculty of Automatic Control Computer Sciences Electrical and Electronics Engineering Galati Romania

ISBN: (纸本)9781665437998

The high-performance length cutting lines of the strip use the Flying Shear, a mechanism that is moved by a vector controlled three-phase asynchronous motor. The operating principle of the cutting line involves a complex dynamic regime, continuous cutting of the strip in sheet at a maximum speed of 45 meters per minute (mpm), where the entire mechanism of the flying shear are moving backward and forward to perform the cut and return to zero point position. Due to the frequents reversing process, the objective of this paper is to optimize the dynamic regimes of the process in order to minimize the energy consumption. From the hierarchical control architecture, the induction motor control is performed at the First Level, where the PLC device sets the direction of movement and the speed value reference, and a Simotion Drives (D425) transforms the PLC's sets into electrical AC voltage signals settings that supply the motor. The complex dynamic operating mode of the motor is given by cutting sequence process: the normal cutting sequence at constant line speed, to which is added the continuous speed changes required by the human operator or the line speed deceleration regime in the event of stop or breakdown conditions. © 2021 IEEE.

关键词： Induction motors

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