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Al-Biruni Based Optimization of Rainfall Forecasting in Ethiopia

Computer systems Science & engineering 2023年第6期45卷 2885-2899页

作者： El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Fadwa Alrowais Mostafa Abotaleb Abdelhameed Ibrahim Doaa Sami Khafaga Department of Communications and Elecronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science F aculty of Computer and Infomation SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of System Progamming South Ual State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Rainfall plays a significant role in managing the water level in the *** unpredictable amount of rainfall due to the climate change can cause either overflow or dry in the *** individuals,especially those in the agricultural sector,rely on rain *** rainfall is challenging because of the changing nature of the *** area of Jimma in southwest Oromia,Ethiopia is the subject of this research,which aims to develop a rainfall forecasting *** estimate Jimma's daily rainfall,we propose a novel approach based on optimizing the parameters of long short-term memory(LSTM)using Al-Biruni earth radius(BER)optimization algorithm for boosting the fore-casting accuracy.N ash-Sutcliffe model eficiency(NSE),mean square error(MSE),root MSE(RMSE),mean absolute error(MAE),and R2 were all used in the conducted experiments to assess the proposed approach,with final scores of(0.61),(430.81),(19.12),and(11.09),***,we compared the proposed model to current machine-learning regression models;such as non-optimized LSTM,bidirectional LSTM(BiLSTM),gated recurrent unit(GRU),and convolutional LSTM(ConvLSTM).It was found that the proposed approach achieved the lowest RMSE of(19.12).In addition,the experimental results show that the proposed model has R-with a value outperforming the other models,which confirms the superiority of the proposed *** the other hand,a statistical analysis is performed to measure the significance and stability of the proposed approach and the recorded results proved the expected perfomance.

关键词： Rainfall prediction long short-term memory Al-Biruni earth radius algorithm meta-heuristic optimization

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End-To-End Autonomous Exploration for Mobile Robots in Unknown Environments through Deep Reinforcement Learning

End-To-End Autonomous Exploration for Mobile Robots in Unkno...

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2022 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2022

作者： Li, Zhi Xin, Jinghao Li, Ning Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (数字)9781665469838

ISBN: (纸本)9781665469838

Autonomous exploration in unknown environments is a significant capability for mobile robots. In this paper, we present an end-To-end autonomous exploration model based on deep reinforcement learning (DRL), which takes the sensor data and a novel exploration map as inputs, and directly outputs the motion control commands of the robot. In contrast to the existing DRL-based exploration methods, the proposed model has no requirements to be combined with the traditional exploration or navigation algorithms, resulting in lower computational complexity. We directly transfer the DRL-based model trained in the training map to four test maps with different sizes and layouts, and the results show that the robot can rapidly adapt to unknown scenes. Besides, a comparison study with RRT-exploration algorithm indicates that the proposed model can reach a higher map exploration rate within less distance and time. Furthermore, we also conduct experiments on the real physical robot to demonstrate the transferability of learned policy from simulation to reality. A video of our experiments in the Gazebo simulator and real world can be found here1 © 2022 IEEE.

关键词： Reinforcement learning

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Emotion Estimation Using Single-Channel EEG and Heart Rate Variability for Industrial Applications

Emotion Estimation Using Single-Channel EEG and Heart Rate V...

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International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

作者： Chen Feng Narumon Jadram Yuri Nakagawa Midori Sugaya Department of Information Science and Engineering Shibaura Institute of Technology Tokyo Japan Functional Control System Graduate School Shibaura Institute of Technology Tokyo Japan

ISBN: (数字)9798331516451

ISBN: (纸本)9798331516468

The industrial world is shifting from mass production to meeting individual needs, requiring guidelines to incorporate emotions and preferences. Traditional questionnaires fall short in capturing detailed real-time emotion changes. Therefore, we propose a novel approach using Electroencephalography(EEG), which reflects central nervous system activity, and heart rate variability(HRV), which reflects autonomic nervous system activity, to estimate emotions in real-time by analyzing arousal and valence. Based on the 2D Arousal-Valence model, we plot EEG and HRV data onto this model to visualize emotion changes caused by external stimuli. Using this proposed method, we conducted joint research with the home and personal care sector to evaluate emotional responses to aroma products, and with the automotive sector to assess drivers' emotional states. These studies demonstrate the value of academic research in guiding the industrial sector, particularly through emotion estimation based on EEG and HRV. Our findings suggest that these technologies offer valuable insights into consumer emotions, which can help improve product design and user experience. Ongoing collaboration between academia and the industrial sector is crucial for overcoming challenges in interpreting physiological signals and effectively integrating these methods into practice.

关键词： Estimation Collaboration Companies Brain modeling Electroencephalography User experience Real-time systems Product design Data models Heart rate variability

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弹流润滑下考虑切片耦合的直齿轮啮合刚度的迭代模型

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Journal of Central South University 2023年第10期30卷 3414-3434页

作者：黄文康马辉赵志芳王鹏飞彭志科张晓旭赵松涛 School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion System of Ministry of Education Northeastern UniversityShenyang 110819China Institute of Vibration Shock&Noise State Key Laboratory of Mechanical System and VibrationShanghai Jiao Tong UniversityShanghai 200240China Harbin Marine Boiler and Turbine Research Institute Harbin 150078China School of Mechanical Engineering Tongji UniversityShanghai 201804China

弹流润滑在减少齿轮表面的变形和摩擦方面起着关键作用,可提高齿轮传动的稳定性和可靠性。本文提出了一个模型来研究直齿轮中弹流润滑与时变啮合刚度之间的复杂关系,旨在求解弹流润滑下的直齿轮时变啮合刚度。本模型考虑了弹流润滑、切... 详细信息

弹流润滑在减少齿轮表面的变形和摩擦方面起着关键作用,可提高齿轮传动的稳定性和可靠性。本文提出了一个模型来研究直齿轮中弹流润滑与时变啮合刚度之间的复杂关系,旨在求解弹流润滑下的直齿轮时变啮合刚度。本模型考虑了弹流润滑、切片耦合、延长啮合、齿轮体柔性耦合和修正的轮齿刚度的影响。为提高准确性,通过去除能量的重复计算来修正轮齿刚度。此外,还推导了切片耦合与变形协调方程之间的迭代关系。提出的模型通过MASTA软件和参考文献进行验证。分析了弹流润滑和切片耦合对直齿轮啮合特性的影响。研究结果显示,考虑切片耦合后,带有鼓向修形的直齿轮的时变啮合刚度显著增大,并且导致边缘的集中载荷转移到齿面的中间部位。

关键词：弹流润滑时变啮合刚度切片耦合变形协调方程

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Simulation Model of Data Consistency Protocol for Multicloud systems 3

Simulation Model of Data Consistency Protocol for Multicloud...

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3rd IEEE KhPI Week on Advanced Technology, KhPI Week 2022

作者： Kozina, Olha Kozin, Mykyta National Technical University 'Kharkiv Polytechnic Institute' Department of Computer Engineering and Programming Kharkiv Ukraine Kharkiv Nation University of Radio Electronics Department of Information Control System Kharkiv Ukraine

ISBN: (数字)9798350399202

ISBN: (纸本)9798350399202

The development of multi-cloud systems with an acceptable level of service delays that significantly affect the quality of the end-users experience is an open research problem, for which simulation is successfully used. This paper proposes a simulation model in Matlab for estimating the time to write data updates initiated by the end-users to the databases of all cloud service providers for a multi-cloud system with a geo-distributed middleware that implements, as an example, the VIP-grab data consistency protocol. The simulation results indicate that our model can be useful in choosing a data consistency protocol that influences the architecture of a multicloud system. © 2022 IEEE.

关键词： MATLAB

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A Low-complexity Decision Variables Classification Brainstorm Optimization Algorithm

A Low-complexity Decision Variables Classification Brainstor...

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2024 International Conference on Applied Mathematics, Modelling and Statistics Application, AMMSA 2024

作者： Li, Qiyue Qiu, Lipeng Zhou, Aoran Wu, Yali Wang, Ziren Department of Information and Control Engineering Xi'An University of Technolog Xi'an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an710048 China State Key Laboratory of Metal Extrusion and Forging Equipment Technology China National Heavy Machinery Research Institute Co. Ltd. Xi'an710016 China

In the complex optimization scenarios of real life, we often need to not only weigh the conflicts between multi-objectives but also face the challenges brought by large-scale decision variables. When the scale of decision variables increases sharply, the search space will expand exponentially, which makes it difficult for the algorithm to traverse the whole search space under limited resources, so that the number of local optimal solutions increases sharply. The so-called 'dimension disaster' appears. To effectively deal with this problem, this paper proposes a large-scale multi-objective brainstorm optimization algorithm (LMaOBSO) based on low complexity decision variable classification method and improved penalty boundary intersection strategy. The algorithm uses a low-complexity tree sorting variable classification method to divide the decision variables into converges and diversity variables quickly. At the same time, the convergent variables are optimized by the improved penalty boundary crossover strategy to solve the problems existing in large-scale optimization problems. © Published under licence by IOP Publishing Ltd.

关键词： Disasters

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Fast On board On orbit Servicing Task Planning for GEO Targets

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Yuhang Xuebao/Journal of Astronautics 2022年第11期43卷 1454-1465页

作者： Xu, Hang Liang, Weikui Liu, Lujiang Ma, Guangfu Song, Bin Department of Control Science and Engineering Harbin Institute of Technology School of Astronautics Harbin150001 China Aerospace System Engineering Shanghai Shanghai201109 China

Based on the auction algorithm and prior knowledge, a novel improved heuristic auction algorithm (IHAA) is proposed to solve the many-to-many on orbit service mission planning problem in geosynchronous orbit (GEO). Firstly, a representation of the on orbit servicing planning problem based on Lambert transfer is established, and a fast fuel optimal estimation strategy is designed for one to one servicing. Secondly, for the mission planning problem considering J 2 perturbation, a fast solution process is proposed based on auction algorithm. Specifically, to determine the task list of each round in the auction algorithm, a heuristic strategy of target priority ranking based on prior knowledge of Lambert transfer is proposed, which helps determine the order of tasks. In addition, in order to reduce the possibility of allocation failure due to the low servicing capacity of some spacecraft, a re auction mechanism based on the redistribution of failed tasks is also added. Finally, the proposed algorithm is compared with the genetic algorithm and simulated annealing algorithm, the results show that IHAA can quickly give relatively high fitness planning results, and can be used for on board mission planning in the face of emergencies or provide initial value of the optimization algorithm to improve the planning efficiency. © 2022 China Spaceflight Society. All rights reserved.

关键词： Simulated annealing

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Reliability Models for a Safe Train Traffic control systems Accounting the Railway Infrastructure States

Reliability Models for a Safe Train Traffic Control Systems ...

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2023 International Russian automation Conference, RusAutoCon 2023

作者： Efanov, Dmitrii V. Mikhailiuta, Evgenii M. Khoroshev, Valerii V. Peter the Great St. Petersburg Polytechnic University Higher School of Mechanical Engineering Material and Transport Institute in St. Petersburg St. Petersburg Russia Tashkent State Transport University "Automation and Remote Control"Department Tashkent Uzbekistan Russian University of Transport "Automation Remote Control and Communication on Railway Transport"Department Moscow Russia Higher School of Mechanical Engineering Material and Transport Institute in St. Petersburg Peter the Great St. Petersburg Polytechnic University St. Petersburg Russia

ISBN: (纸本)9798350345551

The authors developed the advanced train traffic control system architecture. This architecture is based on the railway infrastructure facilities monitoring techniques integrated into the railway automation and remote-control equipment. Such system has a higher level of safety due to the transferring data about the infrastructure facilities state into control complexes directly without the "human - operator"link of the monitoring system. Data from infrastructure facilities that do not directly interact with railway automation equipment's make it possible to quickly develop control actions for the timely developing defects counteract. The authors developed reliability models for the train traffic control systems, in which the railway infrastructure facilities states are considered. Authors presents the accounting the infrastructure complex safe state relevance in train traffic control systems. The developed reliability models using are advisable in the safe train traffic control systems development, as well as in railway infrastructure facilities digital twins developing include real-time modeling of processes. © 2023 IEEE.

关键词： automation

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Sneak Circuit Analysis Covering Interface Circuits in Spacecraft Integrated Chips while Considering Faults

Sneak Circuit Analysis Covering Interface Circuits in Spacec...

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system Reliability and Safety engineering (SRSE), International Conference on

作者： Weiming Liu Cen Chen Kaiwen Xiao Mingtao Feng Haonan Zhang Guofu Zhai Department of Electrical Engineering & Automation Harbin Institute of Technology Harbin China Beijing Aerospace Automatic Control Institute Beijing China Harbin Institute of Technology Harbin China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Sneak circuit analysis is a crucial reliability design process. In the design of spacecraft electronic systems, it is challenging to identify sneak circuits related to integrated chip interface circuits, and there are few targeted researches. In extreme working conditions, the coupling sneak circuits caused by the failure of integrated chips are difficult to identify, affecting the design optimization. The paper proposes a typical interface information specification model for integrated chips to simulate the electrical information characteristics of interfaces. And the typical failure models of intrinsic components inside the chip are determined through multi-physics field analysis. Then, based on the digital model, a sneak circuit diagnosis process based on excitation and fault injection are proposed, and a sneak circuit screening method based on Python virtual prototyping is implemented in the case study. Finally, the design constraint clues for the chip’s external circuit are obtained, which provides a reference for related fault diagnosis and reliability optimization works.

关键词： Space vehicles Semiconductor device modeling Reliability engineering Topology Circuit faults Virtual prototyping Integrated circuit modeling Integrated circuit reliability Circuit analysis Stress

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Natural Gas Load Forecasting Based on Multi-Stage Model Identification 14

Natural Gas Load Forecasting Based on Multi-Stage Model Iden...

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14th IEEE International Conference on Cyber Technology in automation, control, and Intelligent systems, CYBER 2024

作者： Zhang, Pengbin Wang, Hongrui Xing, Kunpeng Yuan, Mingzhe Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China Chinese Academy of Sciences Key Laboratory of Networked Control System Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Guangzhou Institute of Industrial Intelligence Guangzhou511458 China China Nuclear Power Engineering Co. Ltd. Shenzhen518124 China

ISBN: (纸本)9798331506056

Natural gas load forecasting is crucial for the safe operation of urban natural gas. Based on the system identification method, the short-term natural gas load forecasting is studied in the paper. Employing a multi-stage identification framework, the initial values of the model parameters using the least squares and the instrumental variables method, while the model parameters are further optimized by the prediction error method to improve the accuracy of the model identification. The proposed method is validated by the simulation based on the public natural gas data in the U.S., demonstrating the algorithm's effectiveness in forecasting the daily natural gas load effectively. © 2024 IEEE.

关键词： Prediction models

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