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UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2019年第2期81卷 275-284页

作者： Slavu, Nela Dinca, Cristian Badea, Adrian Energy Generation and Use Department University POLITEHNICA of Bucharest Academy of Romanian Scientists Romania Energy Generation and Use Department University POLITEHNICA of Bucharest Academy of Romanian Scientists Romania

In this study, the chilled ammonia technology was analyzed for diminishing CO2. Thus, the temperature in the absorption stage of the chilled ammonia method was varied, observing its influences on the CO2 capture performance and on the thermal heat consumption for solvent regeneration. The number stages of the absorption column are another factor that has an impact on the CO2 capture method performance. Also, the ratio between the flue gases amount and aqueous ammonia amount was varied for determining the optimal ratio of the technical point of view. It is observed that the optimal solvent temperature was 10 °C for which a minimum energy consumption was obtained. © 2019, Politechnica University of Bucharest. All rights reserved.

关键词： Carbon dioxide

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Image Classification Algorithm Based on Depth Neural Network and Multi-Level Feature Learning

Image Classification Algorithm Based on Depth Neural Network...

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2019 2nd international conference on Computer Science and Advanced Materials(CSAM 2019)

作者： Qian Sun Li Xin Faliang Chang Zengshun Zhao College of Electronics Communications and Phisics Shandong University of Science and Technology School of Control Science and Engineering Shandong University Department of Electrical& Computer Engineering University of Florida

Image classification being widely applied to computer vision is an im-age processing method to distinguish the different category targets according to the different features reflected by the image information. BOW-SVM is a relative-ly typical image classification method with higher precision, however, it's unsatis-factory in operation performance. To improve the performance and precision more efficiently, a high-efficiency image classification method based on HOG-PCA is proposed. First of all, it is to make the feature whitening by extracting the Histogram of Oriented Gradients(HOG) features, secondly, make the random down-sampling for the scale unification, afterwards, adopt the principal component analysis(PCA) for feature mapping and finally make the nearest neighbor classification through the minimum two-order norm determination. In the experiment, the proposed method is realized and tested on the P ASCAL 2012 data set through C++ on the basis of OPENCV and Darwin to compare the precision and operation performance of this method and BOW-SVM method;according to the experiment, the proposed has higher precision and better operation performance.

关键词： Deep Neural Network Multi-Layer Feature Learningl Minimum Two-Order Norm Image Classification Image Features

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Evaluation and management of noise at a concrete plant

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UPB Scientific Bulletin, Series D: Mechanical Engineering 2019年第4期81卷 29-36页

作者： Minchevici, Victor Enescu, Nicolae Zaplaic, Toma General Directorate for Impact Assessment and Pollution Control Ministry of Environment Romania University Politehnica of Bucharest Faculty of Biotechnical Systems Engineering Department of Mechanics Splaiul Independetei Avenue no. 313 Romania Noise Expert SC CEPSTRA SRL Emanoil Mihail Severin street no.14 Bucharest Romania

The noise assessment for industrial sources requires a combined approach, using noise mapping and acoustical measurements, as well as the analysis of the effectiveness of the noise reduction measure. The purpose of this paper is to analyze the noise produced by a concrete station in a mixed urban area, which has both residential and commercial areas, as well as the analysis of the efficiency of implementing a measure of noise reduction at the source. Special attention was given to the noise assessment mode, both in the initial situation, prior to the application of the noise reduction measure and, in the final situation, after its application, by building a carcass for concrete station. © 2019, Politechnica University of Bucharest. All rights reserved.

关键词： Noise abatement

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Utilizing Digital Twin Simulation Technologies to Build ICS Cyber Ranges 2nd

Utilizing Digital Twin Simulation Technologies to Build ICS ...

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2nd international conference on Network Simulation and Evaluation, NSE 2023

作者： Zhou, Haifeng Li, Mohan Sun, Yanbin Cyberspace Institute of Advanced Technology GuangzhouUniversity Guangzhou China Guangdong Key Laboratory of Industrial Control System Security Guangzhou China

ISBN: (纸本)9789819745180

With the integration of IT and OT, cyberattacks against ICS have been on the rise recently, and more and more advanced methods are resorted to by attackers to break down the physical system. To do further research in cybersecurity on ICS, building a cyber range is an economical, practical, and necessary approach considering the requirements of availability for the onsite production devices. Using all physical devices to build a cyber range is unrealistic and inflexible due to the high cost while pure software simulation lacks authenticity. Meanwhile, digital twin, a prevalent concept in recent years, shows its potential in ICS cyber ranges for its authenticity and flexibility due to the improvements in modeling methods and network communication. Therefore, the framework, implementation methods, and applications of using digital twin technology to build an ICS cyber range are discussed in this paper. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Machine learning

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Analysis of Experimental and Simulation Results of SF6/N2 Gas Mixture for Different Concentrations under the Stress of DC Positive Breakdown Voltage 2019

Analysis of Experimental and Simulation Results of SF6/N2 Ga...

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proceedings of the 2019 The 2nd international conference on robotics, control and Automation Engineering

作者： Hafiz Muhammad Azib Khan Qingmin Li Jian Wang Qi Hu Chang Yanan State Key Lab of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

ISBN: (纸本)9781450376228

Over the recent past, the use of Sulfur hexafluoride (SF6) has been a dominant efficient dielectric because of its excellent arch quenching measure, and inflammability. However, there have been great worries due to greenhouse effects of SF6. With purity of dielectric being a major point of concern, a mixture of low SF6 gas with nitrogen (N2) gas which is less harmful strike a key milestone in obtain compromise between the environment protection campaign as well as need of power systems. Need of great knowledge in dielectric breakdown voltage values and breaking voltages under different conditions thus have become inhabitable study area. To analyze the breakdown voltages of SF6 & N2 gases and their mixtures this research work is focused on experimental and simulation investigation of DC breakdown voltages at different pressure on positive polarity. COMSOL MULTI-PHYSICS used to get simulation results at different pressures and SF6/N2 gas mixture. On comparison it is found that DC positive breakdown voltage results from simulation are higher than experimental results at same pressure and SF6/N2 gas mixture concentration. Practically, the DC positive breakdown voltage of SF6/N2 gas mixture happen early due to the occurrence of corona and partial discharge. The difference between simulation and experimental results DC positive breakdown voltage of SF6/N2 gas mixture decreases as the percentage of SF6 gas increases while having same pressure inside the ball bowl electrode.

关键词： Breakdown voltage Direct Currents (DC) ball-bowl electrodes GIL Experimental Chamber DC Power Supply Electrode degradation

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Modeling the motion of a space manipulation robot using position control

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AIP conference proceedings 2019年第1期2116卷

作者： Seifedine Kadry Gennady Alferov Alena Kondratyuk Vladislav Kurochkin Shixiang Zhao Department of mathematics and computer science faculty of science Beirut Arab University Lebanon St. Petersburg State University Universitetskaya nab. 7-9 St. Petersburg Russia 199034

In this article the modeling of robot motion for the case of transferring a robot to a given point in the phase space and for transferring it to a program trajectory is under study. The equations of motion of the robot in the form of Lagrange’s equations of the 2nd kind were derived. The positional control in the form of feedbacks is constructed. The graphs of changes in the components of the deviation vector and the components of the control vector for its translation onto the program trajectory are given.

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A Novel Methodology to Determine the Maximum PV Penetration in Distribution Networks

A Novel Methodology to Determine the Maximum PV Penetration ...

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Workshop on Smart Grid and Renewable Energy (SGRE)

作者： Mohammad Zain ul Abideen Omar Ellabban Shady S. Refaat Haitham Abu-Rub Luluwah Al-Fagih Division of Engineering Management and Decision Sciences College of Science and Engineering Hamad Bin Khalifa University Doha Qatar Iberdrola Innovation Middle East Qatar Science & Technology Park Doha Qatar Texas A&M University at Qatar Doha Qatar School of Computer Science and Mathematics Kingston University London Kingston upon Thames UK

ISBN: (数字)9781728129600

ISBN: (纸本)9781728129617

Recently, there has been an increase in the interest surrounding the integration of solar photovoltaic (PV) systems in the low voltage (LV) distribution network. This is due to many benefits, such as low generation costs, high efficiency, scalability, etc. However, large PV penetration at the distribution network can cause voltage levels to rise beyond the acceptable limits of the grid codes. Large amount of losses can also occur due to the reverse power flow resulting from the high penetration level of distributed PV generation units integrated into the distribution network. In this paper, a novel methodology based on a gradual increase in the PV penetration level is presented to determine the maximum PV penetration level in the LV distribution networks. PV penetration is defined as the ratio of the peak PV active generation to the peak active demand of the load. The IEEE European LV test feeder has been used as a test case to validate the proposed methodology. Real PV and load data, from residential customers in Ausgrid's electricity network, New South Wales (NSW), Australia, has been used to generate seasonal and worst-case PV generation and load profiles. The PV penetration in the network is increased to find the levels at which the voltage violations occur. PV penetration level with the minimum losses throughout the year is considered as the maximum acceptable level. Various analyses of real data have been used to find the optimal maximum level of PV penetration at the distribution network level.

关键词： Load modeling Voltage control Load flow Software Radiation effects Databases Power demand

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A Computer Vision-Based Water Level Monitoring System for Touchless and Sustainable Water Dispensing 22nd

A Computer Vision-Based Water Level Monitoring System for To...

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22nd international conference on Image Analysis and Processing (ICIAP)

作者： Felicetti, Andrea Paolanti, Marina Pietrini, Rocco Mancini, Adriano Zingaretti, Primo Frontoni, Emanuele Univ Politecn Marche VRAI Vis Robot & Artificial Intelligence Lab Dipartimento Ingn Informaz I-60131 Ancona Italy Univ Macerata Dept Polit Sci Commun & Int Relat I-62100 Macerata Italy

ISBN: (纸本)9783031431470;9783031431487

In recent years, the need for contactless and sustainable systems has become increasingly relevant. The traditional water dispensers, which require contact with the dispenser and often involve single-use plastic cups or bottles, are not only unhygienic but also contribute to environmental pollution. This paper presents a touchless water dispenser system that uses artificial intelligence (AI) to control the dispensing of water or any liquid beverage. The system is designed to fill a container under the nozzle, dispense water when the container is aligned with the flow, and stop dispensing when the container is full, all without requiring any physical contact. This approach ensures compliance with hygiene regulations and promotes environmental sustainability by eliminating the need for plastic bottles or cups, making it a "plastic-free" and "zero waste" system. The prototype is based on a computer vision approach that employs an RGB camera and a Raspberry Pi board, which allows for real-time image processing and machine learning operations. The system uses image processing techniques to detect the presence of a container under the nozzle and then utilizes AI algorithms to control the flow of liquid. The system is trained using machine learning models and optimized to ensure accuracy and efficiency. We discuss the development and implementation of the touchless water dispenser system, including the hardware and software components used, the algorithms employed, and the testing and evaluation of the system. The results of our experiments show that the touchless water dispenser system is highly accurate and efficient, and it offers a safe and sustainable alternative to traditional water dispensers. The system has the potential to be used in a variety of settings, including public spaces, hospitals, schools, and offices, where hygiene and sustainability are of utmost importance.

关键词： Touchless Water Dispenser Computer Vision Artificial Intelligence Sustainability

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Preface

Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical Engineering 2020年 664卷 v-vi页

作者： Sikander, Afzal Acharjee, Dulal Chanda, Chandan Kumar Mondal, Pranab Kumar Verma, Piyush Department of Instrumentation and Control Engineering Dr. B. R. Ambedkar National Institute of Technology JalandharPunjab India Applied Computer Technology KolkataWest Bengal India Department of Electrical Engineering Indian Institute of Engineering Science and Technology Shibpur HowrahWest Bengal India Department of Mechanical Engineering Indian Institute of Technology Guwahati GuwahatiAssam India International Energy Research Centre Cork Ireland

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Atmospheric deposition studies based on a 20-year period of moss biomonitoring in the vicinity of a lead-zinc plant in Kardzhali, Bulgaria (1995/6-2015/16)

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AIP conference proceedings 2019年第1期2163卷

作者： Gergana Hristozova Savka Marinova Marina V. Frontasyeva 1Faculty of Physics and Technology Plovdiv University ‘Paisii Hilendarski’ 24 Tsar Asen Str. 4000 Plovdiv Bulgaria 2Agricultural University 12 Mendeleev Blvd. 4000 Plovdiv Bulgaria 3Joint Institute for Nuclear Research 6 Joliot-Curie 141980 Dubna Moscow region Russia

In 2015, for the fifth consecutive time, Bulgaria participated in the moss survey carried out in the framework of the UNECE ICP Vegetation (United Nations Economic Commission for Europe, international Cooperative Programme on Effects of Air Pollution on Natural Vegetation and Crops). Over the years, the areas studied included several ‘environmental hotspots’, one of which was a hazardous industrial enterprise – the Kardzhali lead-zinc smelter. It was known to be the main source of lead, cadmium, zinc, and sulfur oxide contamination in the country. An overview of the available data from all moss surveys was made to reveal temporal and spatial deposition trends for the investigated metals and metalloids during the 20-year period of participation. Throughout the surveys, three analytical techniques were used: neutron activation analysis, atomic absorption spectrometry, and atomic emission spectrometry with inductively coupled plasma. Up to 47 elements were determined in 2005/6, 2010/11 and in 2015/16 (Ag, Al, As, Au, Ba, Br, Ca, Cd, Ce, Cl, Co, Cr, Cs, Cu, Dy, Fe, Hf, Hg, I, In, K, La, Li, Mg, Mn, Mo, Na, nd, Ni, P, Pb, Rb, Sb, Sc, Se, Sm, Sr, Ta, Tb, Th, Ti, Tm, U, V, W, Yb, and Zn). The results were anticipated to be an extension to the available data on a small number of elements investigated by the State regulatory bodies and those reported to the ICP Vegetation programme. Due to violation of state environmental policy, a temporary shutting down of the production processes took place during the 2010/11 moss survey. It follows that biomonitoring took place around the time when the deposition rates were the highest, and then continued through 2015/16, while there was no industrial output. The smelter in Kardzhali is going to be reinstated in the near future after a major renovation. The moss survey data could be used to assess the new pollution-control equipment efficacy, and for estimation of health and environmental risks, and aid risk-management decisions.

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