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74th International Astronautical Congress, IAC 2023

作者： Altınışık, S. Erkan, Y.B. Hamurcu, E. R&D Department OBSS Technology Oran Mahallesi Zülfü Tigrel Caddesi No:1/2 Çankaya Ankara06550 Turkey Air Defence and Space Command & Control Systems Directorate ASELSAN Konya Yolu 8. Km Oğulbey Mah. 3051. Sok. No:3 Ankara06830 Turkey System Engineering Department Büyütech Üniversiteler Mahallesi ODTÜ Teknokent Silikon Blok ZK-12 Çankaya Ankara06800 Turkey

Space Situational Awareness (SSA) has become the focal point of space-borne missions with ever-increasing activity in near earth orbit. Governments and private corporations rapidly started to invest in their SSA programmes to track, identify and catalogue orbiting objects. Maintaining an accurate catalogue is crucial not only to take precautions to avoid potential collisions of space assets but also it is important to classify domestic and foreign space activity. To be able to effectively track and identify space objects, orbital parameters or the state vectors of the object should be determined. This study will be carried out with the real observation data gathered from the ground station located in Ankara, Turkey. Using ground-based telescopes, high-fidelity images of low-earth orbit (LEO) satellite tracks will be obtained, and using an open-source image processing library stvid by Cees Bassa, equatorial right ascension (RA, α) and declination (DEC, δ) angles of the satellite will be extracted. One can then obtain Keplerian parameters by applying various Initial Orbit Determination (IOD) methods such as Laplace, Gauss, Gooding, etc. Since the question here becomes an accuracy issue rather than how to implement IOD methods, the efficiency, accuracy, and robustness of these different methods as a function of the observation arc and the temporal separation between individual observations will be addressed within this study. A comparison of already available IOD algorithms and potentially improved algorithms will be thoroughly discussed. Additionally, a circular orbit assumption will be applied to the aforementioned IOD methods that require three sets of angle measurements so that this necessity will be reduced to only two observations. Upon thorough examination of different IOD methods, it is found that when the number of observations is limited, it is necessary to increase the time between observations to improve the accuracy of the solution. For the objects orbitin

关键词： circular orbit assumption initial orbit determination optical observation SSA

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Do We Run Large-scale Multi-Robot systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling

Do We Run Large-scale Multi-Robot Systems on the Edge? More ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Jonas Kuckling Robin Luckey Viktor Avrutin Andrew Vardy Andreagiovanni Reina Heiko Hamann Department of Computer and Information Science University of Konstanz Konstanz Germany Centre for the Advanced Study of Collective Behaviour University of Konstanz Germany Institute of Computer Engineering University of Lübeck Lübeck Germany Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany Department of Computer Science and the Department of Electrical and Computer Engineering Memorial University of Newfoundland St. John’s Canada IRIDIA Université Libre de Bruxelles Brussels Belgium

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

With increasing numbers of mobile robots arriving in real-world applications, more robots coexist in the same space, interact, and possibly collaborate. Methods to provide such systems with system size scalability are known, for example, from swarm robotics. Example strategies are self-organizing behavior, a strict decentralized approach, and limiting the robot-robot communication. Despite applying such strategies, any multi-robot system breaks above a certain critical system size (i.e., number of robots) as too many robots share a resource (e.g., space, communication channel). We provide additional evidence based on simulations, that at these critical system sizes, the system performance separates into two phases: nearly optimal and minimal performance. We speculate that in real-world applications that are configured for optimal system size, the supposedly high-performing system may actually live on borrowed time as it is on a transient to breakdown. We provide two modeling options (based on queueing theory and a population model) that may help to support this reasoning.

关键词： Limiting System performance Space communications Scalability Sociology Swarm robotics Mobile robots

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Emerging contaminants:A One Health perspective

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The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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Comparative Analysis of Impurity Profiles in Rifampicin Capsules with Different Crystal Forms Using Lc-Ms/Ms

SSRN

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SSRN 2025年

作者： Shen, Yun Zhang, Jinlin Zhang, Qian Liu, Wen-Qian Zheng, Si-Tong Tang, Sheng Yuan, Yaozuo Lee, Hian Kee Shi, Hai-Wei NMPA Key Laboratory for Impurity Profile of Chemical Drugs Jiangsu Institute for Food and Drug Control Nanjing210019 China China Pharmaceutical University Nanjing211121 China School of Environmental and Chemical Engineering Jiangsu University of Science and Technology Jiangsu Province Zhenjiang212003 China Department of Chemistry National University of Singapore 3 Science Drive 3 Singapore117543 Singapore

Rifampicin (RIF) is a kind of semi-synthetic antibiotic with broad-spectrum antibacterial action, which has remarkable antibacterial activity against many pathogenic microorganisms. The World Health Organization classifies RIF as critically important for human medicine, especially for tuberculosis treatment. The polymorphic nature of RIF contributes to the complexity of the impurities of the drug. Lack of systematic and comparative studies on its impurities in different crystal forms may affect the efficiency of this drug and increase the incidence of adverse reactions. Current methods in pharmacopoeias and literature can only separate a limited number of known impurities, and the process of preparing the mobile phase is highly cumbersome. In this work, response surface methodology was employed to optimize the conditions of one-dimensional liquid chromatography (LC) as an alternative approach to pharmacopoeia methods. This method demonstrated high accuracy and sensitivity, enabling the quantification of impurities as low as 0.25 μg/mL. The proposed method provided satisfactory linearity, percentage of recovery from 88 to 101% with relative standard, deviations (RSD) lower than 5%, indicating good precision. Additionally, the parallel determination of 6 sample solutions showed that the content changes of the relevant components were within an acceptable range, demonstrating method repeatability. A detection method based on high-resolution two-dimensional LC-mass spectrometry (2D-LC-MS/MS) was developed to analyze. A total of 25 impurities were identified and the impurity profiles were systematically investigated for the first time, providing experimental basis for the quality control of the drug. © 2025, The Authors. All rights reserved.

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Analysis of Power and Power Spectral Density for Quaternary Random Pulse Position Modulation

Analysis of Power and Power Spectral Density for Quaternary ...

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Annual IEEE Conference on Applied Power Electronics Conference and Exposition (APEC)

作者： Hung-Chi Chen Hsiang-Kai Wu Chih-Chiang Wu Department of Electronics and Electrical Engineering National Yang Ming Chiao Tung University (NYCU) Hsinchu Taiwan R.O.C. Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University (NYCU) Hsinchu Taiwan R.O.C. Mechanical and Mechatronics Systems Research Laboratories Industrial Technology Research Institute (ITRI) Hsinchu Taiwan R.O.C.

ISBN: (数字)9798331516116

ISBN: (纸本)9798331516123

In this paper, the quaternary random pulse position modulation (QRPPM) is proposed to further reduce the power of dominant harmonic clusters. From the analysis of the power and power spectral density, the minimum integer-harmonics power dispersion rate (HPDR) is increased from 50.0% of the conventional random center/edge alignment PWM (RCEA-PWM) to 75.0% of the proposed QRPPM. Some results are provided to validate the proposed method.

关键词： Time-frequency analysis Frequency modulation Voltage Switches Power system harmonics Pulse width modulation Harmonic analysis Frequency conversion Power electronics Dispersion

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Condition-driven autoencoder for soft transition modeling and representation of nonstationary processes

Condition-driven autoencoder for soft transition modeling an...

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第32届中国过程控制会议(CPCC2021)

作者： Xu Chen Chunhui Zhao Furong Gao Youxian Sun State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University Department of Chemical and Biomolecular Engineering The Hong Kong University of Science and Technology

Modern processes often have nonstationary characteristics due to working conditions switching or changes in production products,presenting great challenges to the safe and reliable operation of industrial *** addition,the transition characteristics,which are generated in the different operating conditions switching,may also lead to false positives and missed *** this paper,a condition-driven autoencoder method is proposed for soft transition modeling and representation of nonstationary ***,a fine-grained mode recognition strategy is developed to further explore the underlying changes of each condition mode,which is initially partitioned by an automatic sequential condition-mode division *** condition modes are separated into steady and transition sub-modes.A conditional discriminative autoencoder(CDAE) network is designed to establish the steady sub-mode model,which can more closely describe each steady sub-mode and highlight the difference across steady ***,a transition sub-mode evaluator is developed to immediately describe the transition characteristics by combining the features of different steady ***,the nonstationary processes characteristics are comprehensively described by the designed online monitoring *** effectiveness and superiority of the proposed method are verified by a real industrial case.

关键词： Soft transition representation conditional discriminative autoencoder (CDAE) network condition-driven attention-based evaluator nonstationary process monitoring

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Is Monochloramine a Better Alternative Pre-Oxidant for Enhancing Algal Removal by Conventional Drinking Water Treatment Process?

SSRN

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SSRN 2023年

作者： Liu, Han Lv, Huanyu Xu, Hangzhou Rao, Dandan Zhang, Jian Sun, Bo Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science & Engineering Shandong University Shandong Qingdao266237 China Department of Chemical and Environmental Engineering University of California Riverside A235 Bourns Hall 3401 Watkins Drive RiversideCA92521 United States College of Safety and Environmental Engineering Shandong University of Science and Technology Shandong Qingdao266590 China

Algal blooms worldwide pose many challenges to drinking water production and pre-oxidation with NaClO, KMnO4 or ozone is commonly used to enhance algal removal by the conventional drinking water treatment process. However, these currently employed oxidation processes often result in significant algal cell lysis or impede the operation of the subsequent units. Higher algal removal with pre-chlorination process in real water compared to that in synthetic water was accidentally observed. The preliminary results indicated ammonium in real water altered the chlorine species to NH2Cl which was responsible for the improved treatment efficiency, which resulted in this study. 1.5~3.0 mg/L of NH2Cl with oxidation time of 3~7 h significantly enhanced algal removal by coagulation. Selective oxidation of surface-adsorbed organic matters (S-AOM) by NH2Cl and peeling them off from the algal surface increased the zeta potential from −20.2 mV to −3.8 mV while promisingly maintaining cell integrity is the primary mechanism of enhancing algal removal by coagulation. The peeled S-AOM kept a large molecular weight and acted as polymer aids. In addition, most of the added coagulant (Al3+) was utilized to reduce the repulsive electrostatic forces between the algal cells rather than complexed by S-AOM and other dissolved organic matter. Compared to NaClO and KMnO4, NH2Cl showed the best performance in improving algal removal, avoiding cell lysis and decreasing DBPs formation potential. In major Chinese cities, water purification plants commonly rely on suburban lakes or reservoirs as water sources, necessitating the transportation of raw water over long distances, which often takes several hours. Given these inherent challenges, the implementation of monochloramine pre-oxidation as a preferred treatment process for algal water, simultaneously mitigating pipeline corrosion, emerges as a viable and advantageous approach. © 2023, The Authors. All rights reserved.

关键词： Chlorine compounds

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EEG Signal Driving Fatigue Detection based on Differential Entropy

EEG Signal Driving Fatigue Detection based on Differential E...

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IEEE International Conference on Mechatronics and Automation

作者： Danyang Wang Jigang Tong Sen Yang Yinghui Chang Shengzhi Du Tianjin Key Laboratory for Control Theory & Applications in Complicated Systems and Intelligent Robot Laboratory Tianjin University of Technology Tianjin China National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion Tianjin China Department of Electrical Engineering Tshwane University of Technology Pretoria South Africa

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

With the gradual increase of vehicle penetration rate, driving safety has become a problem that people pay attention to, and traffic accidents caused by fatigue are mostly, therefore, it is meaningful to devote ourselves to research on the method of detecting driving fatigue so as to achieve safety warning. Based on this, in this paper, we collect the EEG signals of the experimenter through driving simulation, then extract the features through differential entropy, classify the features with GBDT, and finally determine the fatigue level of the subject with the classification results. We use our method to analyse the difference with sample entropy and fuzzy entropy at the feature level, and with KNN and SVM at the classification level. The comparison shows that our method has significant accuracy in EEG-based fatigue *** can be used accurately in extraction methods through its properties, and differential entropy-based GBDT methods may be useful in detecting driver fatigue.

关键词： Support vector machines Mechatronics Nearest neighbor methods Fatigue Feature extraction Entropy Electroencephalography

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Recent advances in wearable electrochemical biosensors towards technological and material aspects

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Biosensors and Bioelectronics: X 2024年 19卷

作者： Hosseinzadeh Fakhr, Mahan Lopez Carrasco, Ivan Belyaev, Dmitry Kang, Jihun Shin, YeHyeon Yeo, Jong-Souk Koh, Won-Gun Ham, Jeongwoo Michaelis, Alexander Opitz, Joerg Beshchasna, Natalia Fraunhofer Institute for Ceramic Technologies and Systems IKTS Maria-Reiche-Straße 2 Dresden01109 Germany Faculty of Mechanical Science and Engineering Dresden University of Technology Dresden Germany School of Integrated Technology College of Computing Yonsei University Seoul Korea Republic of BK21 Graduate Program in Intelligent Semiconductor Technology Yonsei University Seoul Korea Republic of Department of Chemical and Biomolecular Engineering Yonsei University Seoul Korea Republic of

The next generation of wearable biosensors comes with the latest advancements in biosensor technology. Soft and stretchable electrode materials like hydrogels with the similar functionalities of human tissue including stretchability, self-healability, and responsiveness to different stimuli have emerged as the most versatile materials in wearable electronics. The incorporation of conductive nanofillers is found to enhance the sensitivity of the electrochemical biosensors significantly. Microfluidic technology has reduced the volume of samples and reagents required for the analysis, allowing continuous biomedical monitoring from a drop of biofluid. In this paper, the most advanced progress in electrochemical wearable platforms that can noninvasively and continuously monitor the biochemical markers in body fluids for the diagnosis and health management is reviewed. Innovation in microelectronics, modification, fabrication technologies, and detection methods are the main focus of the discussion. In particular, hydrogel-based sensors and microfluidic systems as the latest technology trends in wearable detection are discussed in detail. Integration of miniaturized electrochemical wearable biosensors with wireless technology as a great promise for real-time healthcare monitoring and point-of-care (POC) diagnostics is also summarized. Finally, we outline the most advanced wearable biosensors with optimized material and design as well as key challenges that need to be addressed to improve sensing performance (accuracy, sensitivity, selectivity, stability), portability (miniaturized size and light weight), and flexibility of the wearable biosensors. © 2024 The Authors

关键词： Body fluids

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Building Feedback-Regulation System Through Atomic Design for Highly Active SO_(2)Sensing

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Nano-Micro Letters 2024年第7期16卷 343-357页

作者： Xin Jia Panzhe Qiao Xiaowu Wang Muyu Yan Yang Chen Bao-Li An Pengfei Hu Bo Lu Jing Xu Zhenggang Xue Jiaqiang Xu NEST Lab Department of ChemistryCollege of SciencesShanghai UniversityShanghai 200444People’s Republic of China Shanghai Synchrotron Radiation Facility Zhangjiang LabShanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204People’s Republic of China School of Chemistry and Materials Science University of Science and Technology of ChinaHefei 230026People’s Republic of China Key Laboratory of Organic Compound Pollution Control Engineering(MOE) School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444People’s Republic of China Shanghai University Instrumental Analysis&Research Center of Shanghai UniversityShanghai 200444People’s Republic of China

Reasonably constructing an atomic interface is pronouncedly essential for surface-related gas-sensing ***,we present an ingen-ious feedback-regulation system by changing the interactional mode between single Pt atoms and adjacent S species for high-efficiency SO_(2)*** found that the single Pt sites on the MoS_(2)surface can induce easier volatiliza-tion of adjacent S species to activate the whole inert S ***,the activated S species can provide a feedback role in tailoring the antibonding-orbital electronic occupancy state of Pt atoms,thus creating a combined system involving S vacancy-assisted single Pt sites(Pt-Vs)to synergistically improve the adsorption ability of SO_(2)gas ***-more,in situ Raman,ex situ X-ray photoelectron spectroscopy testing and density functional theory analysis demonstrate the intact feedback-regulation system can expand the electron transfer path from single Pt sites to whole Pt-MoS_(2)supports in SO_(2)gas *** with wireless-sensing modules,the final Pt1-MoS_(2)-def sensors array can further realize real-time monitoring of SO_(2)levels and cloud-data storage for plant *** a fundamental understanding of the intrinsic link between atomic interface and sensing mechanism is thus expected to broaden the rational design of highly effective gas sensors.

关键词： Feedback-regulation system Atomic interface SO_(2)sensor Single-atom sensing mechanism Intelligent-sensing array

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