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analysis of Influence of Air Pollutant Concentration Based on Multi-Material Balance Model 24

Analysis of Influence of Air Pollutant Concentration Based o...

引用

Proceedings of the 2024 4th International conference on Computational modeling, Simulation and data analysis

作者： Yuchan Zhang Tingting Yan Chuanxu Wang Qinhang Wu School of Municipal and Environmental Engineering Shenyang Jianzhu University Shenyang Liaoning China School of Science Shenyang Jianzhu University Shenyang Liaoning China School of Mechanical Engineering Shenyang Jianzhu University Shenyang Liaoning China

ISBN: (纸本)9798400711831

The air purifier is of great significance for purifying air. In this paper, aiming at the use of air purifiers, the data preprocessing of ten representative air purifiers is first carried out. After the consistency test of the selected eight indicators, the entropy weight method is used to weight them, and the TOPSIS method is used to process the data set. A comprehensive multi-index evaluation model for evaluating the advantages and disadvantages of air purifiers is established. Based on this model, the selected ten air purifiers are ranked in terms of comprehensive cost performance. Then, the air purifier model and the living room simulation model were established by using SolidWorks software. Based on the dispersion of fluid mechanics, control equations and equations, the control equation model of gas fluid is constructed. The CFD finite element simulation is used to establish a suitable three-dimensional model of the analysis scene. In this paper, the air purifier and the model and the living room simulation model are meshed and the calculation area is adjusted. The control equation model of the air fluid in the scene is solved by the pressure base solver. The equation and the established material balance model are imported into Fluent software for calculation. Finally, the cloud map of the influence of an air purifier placed at different positions in the room on the concentration of air pollutants at different heights in the room is obtained by fluent-post.

关键词： Air fluid control equation

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Dynamic Identification of Load Model Parameters Based on data-driven Approach and Its Application in Transient Stability Preventive control

Dynamic Identification of Load Model Parameters Based on Dat...

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IEEE Asia Power and Energy Engineering conference (APEEC)

作者： Ying Zhou Baozhu Liu Guangming Lu Lulu Zhang Jiecong Wang Jing Ma School of Electrical and Electronic Engineering North China Electric Power University China Beijing Electric Power System Research Institute China Electric Power Research Institute China Beijing

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

This article proposes a power system transient stability preventive control method that considers data-driven identification of the distribution network dynamic load model. Firstly, the distribution network and its internal loads connected to each node of the large power grid are equivalently transformed into a dynamic synthetic load model (SLM), and the dominant parameters in the model are extracted. Based on a deep belief network (DBN), the dominant parameters are dynamically identified; Secondly, integrate the identified model into the large power grid and generate data-driven transient stability constraints based on DBN; Establish a transient stability preventive control optimal power flow model with the objective function of comprehensively adjusting generator output and minimizing the total cost of load, considering multiple constraints such as data-driven transient stability margin, and solve it using the NSGA-ii algorithm; Finally, the effectiveness of the proposed method was verified through simulation analysis of an improved IEEE 39 nodes system.

关键词： Analytical models Computational modeling Power system dynamics Distribution networks Power system stability Stability analysis Power grids

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On the Impact of Wind Conditions in Short-Range Flight Trajectories

On the Impact of Wind Conditions in Short-Range Flight Traje...

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Integrated Communications, Navigation and Surveillance conference, ICNS

作者： Erica Gallo Sam Peeters Rainer Koelle Performance Review Unit EUROCONTROL Brussels Belgium

ISBN: (数字)9798331534738

ISBN: (纸本)9798331534745

This paper investigates the effect of realistic wind conditions on the fuel emitted during flight trajectories carried out in Europe and the surrounding areas. As global warming concerns grow, the aviation sector must minimize fuel consumption to align with zero-emission goals. Given the limited availability of aircraft and engine models, access to the EUROcontrol database provides a valuable opportunity for analysis. This study integrates EUROcontrol data with an open-source trajectory optimization framework, incorporating wind data from the Copernicus Climate data Store ERA5 to refine trajectory modeling. The data analysis approach was performed using Python and R, focusing on three representative cases: ( $i$ ) assessing the impact of wind on CO 2 emissions over a one-month dataset by comparing simplified and wind-optimized trajectories; (ii) analyzing the effect of wind direction on a round-trip flight to determine whether headwinds or tailwinds yield greater efficiency, compared to actual flight data; and (iii) evaluating how wind strength influences lateral and altitude trajectories, identifying deviations between simulated and operated flight paths. Results indicate a slight increase in CO 2 emissions when wind effects are incorporated, likely due to variations in flight time caused by wind direction. Moreover, wind strength significantly affects trajectory deviations, highlighting the need for further investigation into refining simulation models to better align with realistic operations.

关键词： Climate change Fuels Trajectory optimization Sustainable development Aerospace control Global warming Climate change Wind speed Aircraft navigation

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Sentiment analysis on the Use of Electric Vehicles With Long Short-Term Memory

Sentiment Analysis on the Use of Electric Vehicles With Long...

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control & Automation, Electronics, Robotics, Internet of Things, and Artificial Intelligence (CERIA), IEEE International conference on

作者： Rizki Elisa Nalawati Dewi Yanti Liliana Ratna Widya Iswara Izzati Rozana Putri Dzakiyah Fauziyah Dept. of Informatics and Computer Engineering Politeknik Negeri Jakarta Depok Indonesia

ISBN: (数字)9798331511166

ISBN: (纸本)9798331511173

Electric vehicles, or EVs, have drawn a lot of attention lately as an eco-friendly way to cut carbon emissions and lessen reliance on fossil fuels. This work uses a neural network model called Long Short-Term Memory (LSTM), which is effective at processing sequential input, to analyze user attitudes toward electric vehicles. Opinion data were gathered from the social media network Twitter between March 1st and March 31st, 2023, using the keyword “electric vehicles”. Based on the obtained opinion data, the LSTM approach is utilized to categorize sentiments as positive or negative. Implementation of the random oversampling technique is important to be applied in increasing the accuracy of the $\mathbf{n}$ recall model for the specified class. The study's conclusions show that the LSTM model performs admirably when it comes to sentiment analysis using the test dataset. The model evaluation yields a precision of $\mathbf{99.65 \%}$ and an accuracy rating of $\mathbf{97.79 \%}$ . The modeling process is carried out with variance splitting data where the highest accuracy is obtained from a comparison of training testing data of $\mathbf{90 \%}$ : $\mathbf{10 \%}$ .

关键词： Training Sentiment analysis Analytical models Accuracy Social networking (online) Blogs Electric vehicles data models Long short term memory Testing

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Application of Operational Excellence Concepts in Drilling Operations Through Embedding Learning from Incidents to Enhance Efficiency & Performance to Prevent Well control Incidents

Application of Operational Excellence Concepts in Drilling O...

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Abu Dhabi International Petroleum Exhibition and conference 2022, ADIPEC 2022

作者： Tayab, Muhammad Salama, Mena Ivanov, Anatoly ADNOC United Arab Emirates

ISBN: (纸本)9781613998724

Oil & Gas operations place a high focus on the prevention of incidents to avoid interruptions to operations, safety of staff and stakeholders, and safeguard their reputation. Incidents and high potential near miss events are investigated mainly to identify the causes triggering the accident and to identify corrective actions to prevent such accidents to reoccur. The repetition of similar incidents is indicative of gaps in incident investigation process to identify root causes and effective implementation of recommendations. Often well control incidents are investigated as a single incident, missing overall interactions between organizational behaviours over an extended period. An extended analysis of Twenty-five (25) well control incidents within Upstream Oil & Gas companies was conducted to assess repetition of causes and regrouping of causes to assess linkage with well control barrier analysis. ADNOC has a matured HSE management system supported by HSE & operation standards and dedicated framework for competency assurance, well barriers, incident management and process safety supporting ADNOC Upstream Group Companies (GC) to control and prevent well control incidents. Mainly due to the effectiveness of management frameworks for incident management, Operations excellence, process safety and well barriers, ADNOC has not experience any blowout event over the last 10 years during drilling or well interventions. A review of well control incidents and interviews with professionals including drilling engineers, sub surface specialists, drilling supervisors, contractors and consultants indicated the following areas for development: • Inadequate identification/correction of worksite/job hazards, particularly in connection with changes to plans I. Inadequate competency, gaps in communication and change management ii. Gaps in drilling programmes and uncertainty in predicting reservoir conditions resulted in insufficient margin between pore and cracking pressures ***

关键词： Efficiency

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Semantic Approach for the classification of Knowledge representation and reasoning analysis 4

Semantic Approach for the classification of Knowledge repres...

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4th International conference on Advances in Computing, Communication control and Networking, ICAC3N 2022

作者： Akhil, Karnam Redddy, A.Brahmananda Reddy, Ragireddy Rahul Borad, Abhinav VnrVignana Jyothi Institute of Engineering and Technology Department of Computer Science and Engineering Hyderabad India La Trobe University Department of Engineering Manufacturing Australia Malla Reddy Engineering College Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9781665474368

A form of artificial intelligence (AI) that is advanced and involves rules that are applied to data to simulate a person's thought process in a particular area, knowledge engineering can be described as an advanced form of artificial intelligence (AI). Knowledge engineering had evolved from its original form when it focused on transferring and analyzing knowledge from human problem-solvers into computer programs that could do the same..It is essential to realize that transfer processing has limitations because humans make decisions differently than machines do. Non-linear thinking and analogous reasoning, often not logical, have not been considered in this *** is becoming increasingly common today to use a modeling process for knowledge engineering, which creates a system that can reach the same conclusions as experts without following the same path or acquiring the same information from the same sources. In this paper, we aim to represent Knowledge engineering to transform knowledge into software that makes decisions similar to those made by human experts, such as financial advisors, whose decisions are based on their ***, it is expected that human experts will be replaced by knowledge engineering in decision support software © 2022 IEEE.

关键词： Semantics

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A Cascaded Broad Learning System for Manipulator Motion control

A Cascaded Broad Learning System for Manipulator Motion Cont...

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IEEE/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Guoyu Zuo Shuaifeng Dong Jiyong Zhou Shuangyue Yu Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computing Intelligence and Intelligent Systems Beijing China

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Intelligent control methods have led to a significant simplification of the robotic arm modeling and control tuning process, and thus they have been widely used. To further improve the precision of robotic arm motion control, this paper proposes a robotic arm motion control strategy based on a cascaded feature-enhanced elastic-net broad learning system (CFE-EN-BLS). This will fully extract data features to improve motion control accuracy. Moreover, ElasticNet regression is introduced to reduce feature redundancy. Finally, Lyapunov stability theory is introduced to constrain the learning parameters of the proposed learning method to enhance the convergence of the control strategy. The simulation and experiment show that the proposed control strategy can realize high-precision trajectory tracking control of the robotic arm.

关键词： Learning systems Accuracy Manipulators Feature extraction Stability analysis Motion control Robots Tuning Intelligent control Convergence

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Design of an Intelligent Self Balancing Inspection Robot for Industrial Monitoring

Design of an Intelligent Self Balancing Inspection Robot for...

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Computing and data Analytics (ICCDA), International conference on

作者： Mohammed Abaker Zeashan Khan Samir Mekid Department of Electrical Engineering Islamic University of Madinah Medina Saudi Arabia Interdisciplinary Research Center for Intelligent Manufacturing & Robotics (IRC-IMR) KFUPM Dhahran Saudi Arabia

ISBN: (数字)9798331542573

ISBN: (纸本)9798331542580

This paper describes the design steps of an intelligent segway robot for monitoring an industrial plant, and detecting corrosion and leakages using camera video. The self-balancing inspection robot (SBIR) integrates robotics, embedded control systems, and computer vision based mobile platform for autonomous inspection. The design cycle involves theoretical modeling and empirical analysis to select hardware components and develop a Segway robot platform using a PID control architecture for stable operation in industrial settings. Moreover, a WebSocket-based remote control system allows the operator to control the robot from a distance. The robot is able to detect real-time gas leakages using YOLOv8. The study demonstrates the efficacy of the mobile robots in enhancing safety and efficiency in industrial inspections. The project video can be seen here: https://***/aieaBv4d5k

关键词： Service robots Robot vision systems process control Inspection Streaming media Real-time systems Safety Robots Monitoring Remote control

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Perturbation analysis Based Simulation Approach for Electricity Market Research and Investigation 8

Perturbation Analysis Based Simulation Approach for Electric...

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8th International conference on Systems and Informatics, ICSAI 2022

作者： Wu, Xiaohu Wang, Xinyong Lin, Wuxing Wang, Ruijing Fan, Xueyuan State Grid Digital Technology Holdings Co Ltd. Beijing100031 China

ISBN: (纸本)9781665474481

The booming of renewable distributed generations challenges Power System Operators (SO) with operational and market aspects such as flexibility shortages, electricity price volatility, market liquidity risk, and even operation failures. Many SO released public market data, which prepare market players to investigate the procurement opportunities for advanced energy deployment, policies, and regulatory configurations. A further step for an SO to take is more meaningful to promote market efficiencies, We propose a Perturbation analysis-based market player behavior modeling and simulation approach to effectively study the impacts of strategic behaviors on the electricity market efficiency. A supervisory controller style electricity market simulation architecture is designed to observe, predict and control behaviors of the electricity market players, which makes the simulation process closed-loop. A case study shows the effectiveness of the proposed approach in investigating market players' behaviors. © 2022 IEEE.

关键词： Power markets

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Proposed Parameters for Simulation and analysis of Handover, Coverage, and Capacity for UMTS 2

Proposed Parameters for Simulation and Analysis of Handover,...

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2nd International conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022

作者： Mahmood, Tameem M. Al-Rasheed University Collage Computer Techniques Engineering Department Baghdad Iraq

ISBN: (纸本)9781665437899

A soft handover process is common happen in communication, take place when the mobile position is in the interfere concealment place of two neighbor cells. The work of this paper presents modeling access seam on the customer Equipment/Mobile peripheral for the radio interface with 3GPP UMTS standards. Therefore, the main objective of this paper is focus on how the data traffic in both upper link and downer link working in each Medium Access control/Radio Link control sub-layer. In this simulation, The OPNET optimization software is used. The simulation is taken three Scenarios, the first scenario is to analyze the soft handover of user in the network when send and revived data in the uplink and downlink from the BTS (node-B) and explain the several cells in UE' s Active Set and explain the cells are added into and removed during the simulation. The second scenario is explain the effect of the Node _ B coverage area and show the effect of the maximum path loss in network and showing the maximum path loss increase the coverage decrease. The last scenario describe the effect of the Node_B Capacity, when the users move towards the node _B the total transmitted load in the cell will increase and overall uplink productivity of the Node B will increase and uplink transmission power increase this effect that the capacity. the result of the possibility a customer which is soft handover and explain the impact of it, the graph is explained the capacity and the coverage of system. © 2022 IEEE.

关键词： Cells

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