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Passivation of degradation path enables high performance perovskite nanoplatelet lasers with high operational stability

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Photonics Research 2022年第6期10卷 1440-1452页

作者： GUOHUI LI HUIHUI PI YANFU WEI BOLIN ZHOU YA GAO RONG WEN YUYING HAO HAN ZHANG BENG S.ONG YANXIA CUI College of Physics and Optoelectronics Key Laboratory of Interface Science and Engineering in Advanced MaterialsKey Laboratory of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Collaborative Innovation Centre for Optoelectronic Science and Technology Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen Key Laboratory of Micro-Nano Photonic Information TechnologyGuangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)Shenzhen UniversityShenzhen 518060China Department of Chemistry Research Centre of Excellence for Organic ElectronicsInstitute of Advanced MaterialsHong Kong Baptist UniversityKowloon TongHong KongChina

MAPbI_(3)perovskite has attracted widespread interests for developing low-cost near infrared semiconductor gain ***,it faces the instability issue under operation conditions,which remains a critical *** is found that the instability of the MAPbI_(3)nanoplatelet laser comes from the thermal-induced degradation progressing from the surface defects towards neighboring *** using PbI_(2) passivation,the defect-initiated degradation is significantly suppressed and the nanoplatelet degrades in a layer-by-layer way,enabling the MAPbI_(3)laser to sustain for 4500 s(2.7×10^(7) pulses),which is nearly three times longer than that of the nanoplatelet laser without ***,the PbI_(2) passivated MAPbI_(3)nanoplatelet laser with the nanoplatelet cavity displays a maximum quality factor up to∼7800,the highest reported for all MAPbI_(3)nanoplatelet ***,a high stability MAPbI_(3)nanoplatelet laser that can last for 8500 s(5.1×10^(7) pulses)is demonstrated based on a dual passivation strategy,by retarding the defect-initiated degradation and surface-initiated degradation *** work provides in-depth insights for understanding the operating degradation of perovskite lasers,and the dual passivation strategy paves the way for developing high stability near infrared semiconductor laser media.

关键词： stability initiated high

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A Comparative Analysis of Pipeline Leakage Detection Using Different Ml Techniques

SSRN

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SSRN 2025年

作者： Rahman, Md Hafizur Shahid, Ashhad Ali Haque, Tansu Sila Gulzar, Muhammad Majid Shafiullah, Md Systems & Control Engineering King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia Department of Mechatronics Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh KFUPM Dhahran31261 Saudi Arabia

For the safe transfer of petroleum products, pipeline leak detection is crucial since leaks present serious dangers, including financial losses, health risks, and environmental harm. In order to detect pipeline breaches, especially pinhole-sized leaks, with high accuracy, this study combines acoustic emission (AE) technology with machine learning (ML) approaches. Three different datasets are used in the study: the GPLA-12 dataset, which uses AE signals to simulate real-world pipeline conditions under various gas pressures, noise levels, and sensor types;a pipeline corrosion dataset, which examines how corrosion affects the formation of leaks;and a Roboflow image dataset, which uses deep learning techniques to enable visual leak detection. By addressing various operational issues, each dataset strengthens the detection system’s resilience. Data standardization, augmentation, and label modifications were all part of the dataset processing. After evaluating a number of machine learning and deep learning classifiers, Naive Bayes was shown to have the best accuracy for AE-based detection. XGBoost fared better on the pipeline corrosion dataset than other methods like Random Forest, KNearest Neighbours (KNN), and Logistic Regression. The YOLOv8 model was used to process the Roboflow image dataset in order to locate visual leaks. The findings show that AE-based sensing, sophisticated image analy- © 2025, The Authors. All rights reserved.

关键词： Health risks

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InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping

arXiv

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arXiv 2022年

作者： Li, Shuaixin Tian, Bin Xiaozhou, Zhu Jianjun, Gui Wen, Yao Li, Guangyun The National Innovation Institute of Defence Technology PLA Academy of Military Sciences Beijing100079 China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Science Beijing100081 China The Department of Geospatial Information PLA Information Engineering University Zhengzhou450001 China

Traditional LiDAR odometry (LO) systems mainly leverage geometric information obtained from the traversed surroundings to register laser scans and estimate LiDAR ego-motion, while it may be unreliable in dynamic or unstructured environments. This paper proposes InTEn-LOAM, a low-drift and robust LiDAR odometry and mapping method that fully exploits implicit information of laser sweeps (i.e., geometric, intensity, and temporal characteristics). Scanned points are projected to cylindrical images, which facilitate the efficient and adaptive extraction of various types of features, i.e., ground, beam, facade, and reflector. We propose a novel intensity-based points registration algorithm and incorporate it into the LiDAR odometry, enabling the LO system to jointly estimate the LiDAR ego-motion using both geometric and intensity feature points. To eliminate the interference of dynamic objects, we propose a temporal-based dynamic object removal approach to filter them out before map update. Moreover, the local map is organized and downsampled using a temporal-related voxel grid filter to maintain the similarity between the current scan and the static local map. Extensive experiments are conducted on both simulated and real-world datasets. The results show that the proposed method achieves similar or better accuracy w.r.t the state-of-the-arts in normal driving scenarios and outperforms geometric-based LO in unstructured environments. © 2022, CC BY.

关键词： Optical radar

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Modelling food business in the context of agriculture 4.0 11

Modelling food business in the context of agriculture 4.0

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11th International Conference on Simulation and Modelling in the Food and Bio-Industry, FOODSIM 2020

作者： Pop, Eugen Sirbu, Alexandrina Moisescu, Mihnea Alexandru Caramihai, Simona Iuliana Sacala, Ioan Stefan Dumitrache, Ioan IPA S.A R&D Institute for Automation Bucharest Romania Constantin Brancoveanu University 39 Nicolae Balcescu Bld. Ramnicu Valcea Romania Automatics and Industrial Infromatics Department 313 Splaiul Independentei Bucharest Romania Automatic Control and Systems Engineering Department 313 Splaiul Independentei Bucharest Romania

ISBN: (纸本)9789492859136

Emerging paradigms such as Agriculture 4.0 and Industry 4.0, are beginning to reshape the Food Business Ecosystem. Highly connected systems currently employed across numerous areas offer new opportunities for the development and implementation of novel information systems. The authors propose a set of principles, based on Agriculture 4.0 and Industry 4.0 paradigms in order to discuss an extension of Business System Models. The extension model is proposed with the aim of integrating emerging concepts with existing Food Business System Models. © 2020 EUROSIS. All Rights Reserved.

关键词： Agriculture

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Sharing Mobilized Energy Storage for Temporal-Spatial Coordination of Transportation and Power systems

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Journal of Modern Power systems and Clean Energy 2024年第3期13卷 892-903页

作者： Yuhang Ding Xinjiang Chen Guangchun Ruan Gengyin Li Ming Zhou Jiang Dai Jianxiao Wang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China State Grid Hangzhou Lin'an District Power Supply Company Hangzhou China Department of Industrial Engineering and Management College of Engineering Peking University Beijing China Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA Power Dispatching and Control Center Guizhou Power Grid Company Guiyang China National Engineering Laboratory for Big Data Analysis and Applications Peking University Beijing China

Mobilized energy storage (MES) can provide a variety of services for power systems, including peak shaving, frequency regulation, and congestion alleviation. In this paper, we develop an MES sharing approach based on temporal-spatial network (TSN) toward systemwide temporal-spatial flexibility enhancement, specifically in which the heavy-duty vehicles can exchange batteries at the energy storage stations connected with power grids. To achieve the temporal-spatial coordination of transportation and power systems, we propose a coordinated scheduling model. A decentralized algorithm based on the improved optimality condition decomposition (OCD) algorithm is proposed to address the information asymmetry between transportation and power systems while enhancing computational efficiency. Case studies based on IEEE 30-/118-bus and transportation systems demonstrate that MESs using the proposed approach can significantly improve the utilization of batteries while reducing operating costs by over 40% compared with stationary energy storages (SESs).

关键词： Transportation Power systems Batteries Planning Costs Power grids Uncertainty

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A sliding mode controller design for thermal comfort in buildings

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Engineering Transactions 2019年第4期67卷 475-489页

作者： Skruch, Pawel Dlugosz, Marek AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Al. Mickiewicza 30 Kraków30-059 Poland

One of the factors determining comfort in buildings is the indoor air temperature of the rooms. A control system, part of the home automation system, should stabilise air temperature to the desired level, despite various disturbances such as the presence of random or occasional sources of heat. Inaccurate models of the dynamics of air temperature changes in buildings prescribe the use of robust control methods, a type of which is the sliding mode controller. This article presents the application of a sliding mode controller (SMC) to home automation systems, designed to control air temperature inside a building. The sliding-mode controller makes use of sliding surfaces, which are defined by the assumed trajectory and the system output. The control law is designed in such a way that the trajectory of the system tends to the sliding surface from any initial point and remains on it after reaching the sliding surface. In this article, a model at air temperature change dynamics inside a building is presented. The modelling approach relies on the lumped-parameter methodology, in which distributed physical properties are represented by lumped parameters (such as thermal capacity or resistance). The model takes into account the loss of heat through conduction and ventilation, as well as internal heat gain. The parameters of the model can be obtained easily from the thermal properties of the construction materials. Theoretical considerations were applied in simulation experiments and the results of these experiments confirm the performance improvement achieved by the proposed solutions. © 2019, Polish Academy of Sciences. All rights reserved.

关键词： Atmospheric temperature

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The OWA operator with boxplot method in time series

The OWA operator with boxplot method in time series

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International Conference of Modelling and Simulation in Engineering, Economics, and Management, MS 2018

作者： Torres-Martínez, Agustín Gil-Lafuente, Anna M. Merigó, José M. Department of Business University of Barcelona Av. Diagonal 690 Barcelona08034 Spain Department of Management Control and Information Systems University of Chile Av. Paraguay 257 Santiago8330015 Chile School of Information Systems and Modelling Faculty of Engineering and Information Technology University of Technology Sydney 81 Broadway UltimoNSW2007 Australia

ISBN: (纸本)9783030154127

This paper presents an aggregation model for time series with the OWA operator, using as arguments representative values calculated from the quantiles of a data set and particularly with the values of the boxplot graph. The application of the OWA operator in this model allows forecasting time series including the optimistic or pessimistic attitude of the analysts, through the weighting vector. To illustrate the boxplot-OWA operator model, results are presented with data from the IBEX 35 for different periods of time in 2017. © 2020, Springer Nature Switzerland AG.

关键词： Time series

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Simultaneous tactile exploration and grasp refinement for unknown objects

arXiv

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arXiv 2021年

作者： de Farias, Cristiana Marturi, Naresh Stolkin, Rustam Bekiroglu, Yasemin The Extreme Robotics Laboratory School of Metallurgy and Materials University of Birmingham Birmingham United Kingdom Chalmers University of Technology Department of Electrical Engineering Automatic Control research group Sweden University College London Department of Computer Science Centre for Artificial Intelligence United Kingdom

This paper addresses the problem of simultaneously exploring an unknown object to model its shape, using tactile sensors on robotic fingers, while also improving finger placement to optimise grasp stability. In many situations, a robot will have only a partial camera view of the near side of an observed object, for which the far side remains occluded. We show how an initial grasp attempt, based on an initial guess of the overall object shape, yields tactile glances of the far side of the object which enable the shape estimate and consequently the successive grasps to be improved. We propose a grasp exploration approach using a probabilistic representation of shape, based on Gaussian Process Implicit Surfaces. This representation enables initial partial vision data to be augmented with additional data from successive tactile glances. This is combined with a probabilistic estimate of grasp quality to refine grasp configurations. When choosing the next set of finger placements, a bi-objective optimisation method is used to mutually maximise grasp quality and improve shape representation during successive grasp attempts. Experimental results show that the proposed approach yields stable grasp configurations more efficiently than a baseline method, while also yielding improved shape estimate of the grasped object. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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An Efficient and User-Friendly Software Tool for Ordered Multi-Class Receiver Operating Characteristic Analysis Based on Python

SSRN

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SSRN 2022年

作者： Liu, Shun Yang, Junjie Zeng, Xianxian Song, Haiying Cen, Jian Xu, Weichao Department of Automatic Control School of Automation Guangdong Polytechnic Normal University Guangzhou510650 China Université Paris Saclay CNRS CentraleSupelec Laboratoire des Signaux et Système UMR 8506 Plateau du Moulon 3 Rue Joliot Curie Gif sur Yvette France Guangzhou Intelligent Building Equipment Information Integration and Control Key Laboratory Guangzhou510665 China School of Computer and Science Guangdong Polytechnic Normal University Guangzhou510650 China School of Automation Guangdong University of Technology Guangzhou510006 China

Receiver Operating Characteristic (ROC) analysis is prevalent tool for two-class problems in a wide range of science and engineering areas. The relevant scalar area under the ROC curve (AUC) has been proven to be a robust evaluation index for characterizing the performance of binary statistical models. However, tasks with more than two categories are frequently encountered in practice. As an extension of the ROC curve and AUC in parallel, the hyper ROC surface and the corresponding hyper-volume under the surface (HVUS) have attracted extensive interest. The current mainstream analysis tools of AUC and HVUS are based on the R program language. To provide researchers with an alternative tool for multi-class ROC analysis, in this work, we develop a python-based package and software tool, which allow the users to unbiasedly estimate HVUS, confidently compare HVUSs, flexibly visualize 2D-ROC curve and 3D-ROC surface, etc. © 2022, The Authors. All rights reserved.

关键词： Python

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In vitro validation of a non-invasive continuous blood pressure measurement method for the perioperative application

In vitro validation of a non-invasive continuous blood press...

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作者： Geus, Paul Laidig, Daniel Borchers, Patrick Seel, Thomas Stettin, Johanna Kertzscher, Ulrich Charité - Universitätsmedizin Berlin Berlin Germany Control Systems Group Technische Universität Berlin Berlin Germany Medical Information Technology RWTH Aachen University Aachen Germany Department Artificial Intelligence in Biomedical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg Nuremberg Germany Biofluid Mechanics Lab ICM Charité Universitätsmedizin Berlin Berlin Germany

Hypotensive periods during surgery lead to an increase in postoperative complications. To further avoid the adverse events associated with the invasive measurement of the blood pressure, a perioperative, continuous, non-invasive blood pressure measurement method was developed. The precision of the method was tested for different mean pressure values and different thicknesses of the tissue model using a specifically designed and validated simulator that has the characteristics of the lower arm. The mean pressure difference between the pressure determined by the proposed method and simulated blood pressure from the simulator was 3.93 mmHg (±4.75 mmHg) for the systole and 4.89 mmHg (±6.10 mmHg) for the diastole. The results showed that the method can be a promising alternative to invasive blood pressure measurement methods. © 2021 by Walter de Gruyter Berlin/Boston.

关键词： Blood pressure

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