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Measurement of atmospheric nanoparticles:Bridging the gap between gas-phase molecules and larger particles

Journal of Environmental sciences 2023年第1期123卷 183-202页

作者： Chao Peng Chenjuan Deng Ting Lei Jun Zheng Jun Zhao Dongbin Wang Zhijun Wu Lin Wang Yan Chen Mingyuan Liu Jingkun Jiang Anpei Ye Maofa Ge Weigang Wang State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular Sciences(BNLMS)CAS Research/Education Center for Excellence in Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijing 100190China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China School of Environment Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China School of Atmospheric Sciences Sun Yat-sen UniversityZhuhaiGuangdong 519082China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention(LAP3) Department of Environmental Science&EngineeringFudan UniversityShanghai 200433China Key Laboratory for the Physics and Chemistry of Nanodevices Department of ElectronicsSchool of Electronics Engineering and Computer SciencePeking UniversityBeijing 100871China University of Chinese Academy of Sciences Beijing 100049China

Atmospheric nanoparticles are crucial components contributing to fine particulate matter(PM_(2.5)),and therefore have significant effects on visibility,climate,and human *** to the unique role of atmospheric nanoparticles during the evolution process from gas-phase molecules to larger particles,a number of sophisticated experimental techniques have been developed and employed for online monitoring and characterization of the physical and chemical properties of atmospheric nanoparticles,helping us to better understand the formation and growth of new *** this paper,we firstly review these state-of-the-art techniques for investigating the formation and growth of atmospheric nanoparticles(e.g.,the gas-phase precursor species,molecular clusters,physicochemical properties,and chemical composition).Secondly,we present findings from recent field studies on the formation and growth of atmospheric nanoparticles,utilizing several advanced ***-more,perspectives are proposed for technique development and improvements in measuring atmospheric nanoparticles.

关键词： Nanoparticle Measurement techniques Size distributions Physical properties Chemical composition

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Research on Data Communication Monitoring System of Master and Slave Equipment in Avionics System Based on 1553B Bus 2

Research on Data Communication Monitoring System of Master a...

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2nd International Conference on Networking Systems of AI, INSAI 2022

作者： Zhu, Zhitian Fu, Yanfang Lu, Chengtao Qiao, Yongxing Cai, Zhipeng School of Weapon Science and Technological Xi'an Technological University Xi'an China School of Computer Science and Engineering Xi'an Technological University Xi'an China North-Automatic Control Technology Institute Taiyuan China

ISBN: (纸本)9781665491785

When the terminal sub-device sends data to the main device of the peer avionics system, it faces the related problems of data loss, blurred transmission, and format parsing errors. In response to these problems, this paper combs the basic concept and basic topology structure of the airborne bus 1553B applied to the master-slave equipment of the avionics system, analyzes the application method of the 1553B bus in the avionics system for high-efficiency and high-precision data transmission, and proposes an industrial control system. The scheme of optimizing data transmission between master and slave devices through 1553B bus access to the avionics system provides a new research idea for the development of data communication between master and slave devices in the real avionics system. The data communication monitoring system of the master-slave equipment of the electrical system will avoid risks for future real scenarios in terms of data analysis, data flow, and whether the transmission and reception are successful on the ground. © 2022 IEEE.

关键词： Data communication systems

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Play Everywhere: A Temporal Logic based Game Environment Independent Approach for Playing Soccer with Robots

arXiv

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arXiv 2024年

作者： Suriani, Vincenzo Musumeci, E. Nardi, D. Bloisi, D.D. Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy Dept. of Mathematics Computer Science and Economics University of Basilicata Potenza Italy

Robots playing soccer often rely on hard-coded behaviors that struggle to generalize when the game environment change. In this paper, we propose a temporal logic based approach that allows robots’ behaviors and goals to adapt to the semantics of the environment. In particular, we present a hierarchical representation of soccer in which the robot selects the level of operation based on the perceived semantic characteristics of the environment, thus modifying dynamically the set of rules and goals to apply. The proposed approach enables the robot to operate in unstructured environments, just as it happens when humans go from soccer played on an official field to soccer played on a street. Three different use cases set in different scenarios are presented to demonstrate the effectiveness of the proposed approach. © 2024, CC BY.

关键词： Temporal logic

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An Improved Heap-Based Optimizer for Challenging Landscapes and Real-World engineering Applications

SSRN

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SSRN 2024年

作者： Eita, Mohammad A. Elaziz, Mohamed Abd Department of Computer and Control Engineering Faculty of Engineering Tanta University Tanta31733 Egypt Department of Mathematics Faculty of Science Zagazig University Zagazig44519 Egypt

In this paper, the exploitation capability and balance of Heap-Based Optimizer (HBO) are improved by making some modifications to propose two variants of the improved heap-based optimizer. To improve the exploitative behavior, HBO is integrated with two well-known algorithm which have an excellent exploitation. The first one is Interior Point (IP) which is a derivative-based optimizer. The second one is the Nelder-Mead (NM) algorithm which is a derivative-free optimizer. Moreover, the two variants maintain the excellent exploratory behavior of HBO. Subsequently, The proposed algorithms perform a superior balance between the exploration and exploitation. The performance of proposed algorithms is evaluated through ninety seven benchmark functions including twenty nine very challenging CEC-BC2017 benchmark functions versus eight highly-cited optimizers including the best algorithm of the CEC-BC-2017 competition (EBO-CMAR). The exploration and exploitation capability of the proposed algorithms is tested using forty four multimodal and twenty four unimodal functions, respectively. In the first two experiments, Friedman mean rank test shows HBO-IP and HBO-NM outperforms and achieve 1st and 2nd ranks, respectively. In the last experiment, twenty nine CEC-BC-2017 benchmark functions are used. Friedman test shows that HBO-IP and HBO-NM secure 2nd and 3rd ranks, respectively, after EBO-CMAR;however, Bonferroni method based multiple comparison test (MCT) shows that the difference in ranks between EBO-CMAR and the proposed algorithms is statistically insignificant. Furthermore, Friedman test shows that the overall ranks of the HBO-IP and HBO-NM are 1st and 2nd for all ninety seven functions. The applicability of the proposed algorithms is shown through solving three engineering problems. The behavior is superior or equivalent to the other optimizers. © 2024, The Authors. All rights reserved.

关键词： Benchmarking

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A New LMI-Based Non-Iterative Design Method for Static Output Feedback controllers for Linear Systems 25

A New LMI-Based Non-Iterative Design Method for Static Outpu...

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25th International Conference on Mechatronics Technology, ICMT 2022

作者： Oya, Hidetoshi Hayakawa, Satoshi Nagai, Shunya Nakano, Kazushi Tokyo City University Department of Computer Science Tokyo Japan Tokyo City University Graduate School of Integrative Science and Engineering Tokyo Japan Department of Electronics and Control Engineering Ehime Japan The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan

ISBN: (数字)9781665461955

ISBN: (纸本)9781665461955

This paper presents a new non-iterative LMI-based design method for static output feedback controllers for linear systems. The proposed design method is derived from the well-known necessary and sufficient condition for the existence of the static output feedback control for linear systems. In this paper, we show the new non-iterative LMI-based design procedure for static output feedback controllers for linear systems, and the effectiveness of the proposed controller design approach is shown through a simple numerical example. © 2022 IEEE.

关键词： Linear systems

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User Portrait Construction of Diet Therapy Culture Based on Machine Learning

User Portrait Construction of Diet Therapy Culture Based on ...

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IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)

作者： Jie Dong Siyu Fan Rui Men School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang Liaoning China School of Computer Science and Engineering Shenyang Jianzhu University Shenyang Liaoning China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374322

With the development of high-quality economy, modern people are facing various health challenges while their living standards are improving, the risk of disease is rising, and the need for health is urgent and growing. Traditional Chinese medicine food therapy culture is in line with the pursuit of healthy lifestyle in modern society, and is favored by more and more people. In this paper, questionnaires were distributed online and offline for investigation, K-means algorithm was used to cluster and build user portraits, population needs with different individual characteristics were subdivided, and decision tree regression algorithm was used to predict user dietary therapy behavior. The results show that the analysis of dietary therapy users according to the above method is accurate, and the fine division of users is conducive to the characteristic development of dietary therapy culture.

关键词： Machine learning algorithms Scalability Medical treatment Clustering algorithms Machine learning Predictive models Prediction algorithms Regression tree analysis Standards Diseases

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An Access control Scheme Based on Decentralized Identifiers and Verifiable Credentials in IoT 3

An Access Control Scheme Based on Decentralized Identifiers ...

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3rd International Conference on computer science and Management Technology, ICCSMT 2022

作者： Li, Yunliang Fu, Yanfang Du, Zhiqiang Cai, Zhipeng Xi'An Technological University School of Armament Science and Technology Xi'an China Xi'An Technological University School of Computer Science and Engineering Xi'an China North Automatic Control Technology Institute Taiyuan China

ISBN: (纸本)9798350320404

With the rapid development of information technology, the Internet of Things (IoT) has become more complex, and more and more devices and users are connected to the IoT system. While improving data interactivity and expanding the scope of data sharing, secure access to IoT resources is also facing great risks. Therefore, it is necessary to design an appropriate access control scheme. Firstly, this paper introduces Decentralized Identifiers (DID) and Verifiable Credentials. It is used for authentication and rights management of users and devices, respectively, which makes identity and authority unforgeable. Secondly, this paper uses blockchain technology to support DID and Verifiable Credentials, which can ensure the decentralization, invariance and traceability of data. Finally, using smart contracts enables automatic processing of requester authorization and access requests. The test results show that the scheme has good performance. © 2022 IEEE.

关键词： Smart contract

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Distributed Sequential Receding Horizon control of Multi-Agent Systems Under Recurring Signal Temporal Logic

Distributed Sequential Receding Horizon Control of Multi-Age...

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European control Conference (ECC)

作者： Eleftherios E. Vlahakis Lars Lindemann Dimos V. Dimarogonas Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Thomas Lord Department of Computer Science Viterbi School of Engineering University of Southern California Los Angeles CA USA

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

We consider the synthesis problem of a multi-agent system under signal temporal logic (STL) specifications representing bounded-time tasks that need to be satisfied recurrently over an infinite horizon. Motivated by the limited approaches to handling recurring STL systematically, we tackle the infinite-horizon control problem with a receding horizon scheme equipped with additional STL constraints that introduce minimal complexity and a backward-reachability-based terminal condition that is straightforward to construct and ensures recursive feasibility. Subsequently, we decompose the global receding horizon optimization problem into agent-level programs the objectives of which are to minimize local cost functions subject to local and joint STL constraints. We propose a scheduling policy that allows individual agents to sequentially optimize their control actions while maintaining recursive feasibility. This results in a distributed strategy that can operate online as a model predictive controller. Last, we illustrate the effectiveness of our method via a multi-agent system example assigned a surveillance task.

关键词： Surveillance Decentralized control Europe Predictive models Fasteners Cost function Infinite horizon

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IT'S ALL IN THE EMBEDDING! FAKE NEWS DETECTION USING DOCUMENT EMBEDDINGS

arXiv

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arXiv 2023年

作者： Truicǎ, Ciprian-Octavian Apostol, Elena-Simona Computer Science and Engineering Department Faculty of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

With the current shift in the mass media landscape from journalistic rigor to social media, personalized social media is becoming the new norm. Although the digitalization progress of the media brings many advantages, it also increases the risk of spreading disinformation, misinformation, and malformation through the use of fake news. The emergence of this harmful phenomenon has managed to polarize society and manipulate public opinion on particular topics, e.g., elections, vaccinations, etc. Such information propagated on social media can distort public perceptions and generate social unrest while lacking the rigor of traditional journalism. Natural Language Processing and Machine Learning techniques are essential for developing efficient tools that can detect fake news. Models that use the context of textual data are essential for resolving the fake news detection problem, as they manage to encode linguistic features within the vector representation of words. In this paper, we propose a new approach that uses document embeddings to build multiple models that accurately label news articles as reliable or fake. We also present a benchmark on different architectures that detect fake news using binary or multi-labeled classification. We evaluated the models on five large news corpora using accuracy, precision, and recall. We obtained better results than more complex state-of-the-art Deep Neural Network models. We observe that the most important factor for obtaining high accuracy is the document encoding, not the classification model's complexity. © 2023, CC BY-NC-ND.

关键词： Embeddings

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Coarse-to-Fine Detection of Multiple Seams for Robotic Welding

Coarse-to-Fine Detection of Multiple Seams for Robotic Weldi...

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

作者： Pengkun Wei Shuo Cheng Dayou Li Ran Song Yipeng Zhang Wei Zhang School of Control Science and Engineering Shandong University Jinan China Department of Electrical and Computer Engineering University of California Los Angeles CA United States of America

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Efficiently detecting target weld seams while ensuring sub-millimeter accuracy has always been an important challenge in autonomous welding, which has significant application in industrial practice. Previous works mostly focused on recognizing and localizing welding seams one by one, leading to inferior efficiency in modeling the workpiece. This paper proposes a novel framework capable of multiple weld seams extraction using both RGB images and 3D point clouds. The RGB image is used to obtain the region of interest by approximately localizing the weld seams, and the point cloud is used to achieve the fine-edge extraction of the weld seams within the region of interest using region growth. Our method is further accelerated by using a pre-trained deep learning model to ensure both efficiency and generalization ability. The proposed method was comprehensively tested on various workpieces featuring both linear and curved weld seams, as well as in physical experiment systems. The results showcase considerable potential for real-world industrial applications, emphasizing the method’s efficiency and effectiveness. Videos of the real-world experiments can be found at https://***/pq162HSP2D4.

关键词： Point cloud compression Accuracy Three-dimensional displays Service robots Welding Robot sensing systems Production facilities Sensors Intelligent robots Videos

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