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IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Asghar Mahmoudi Morteza Khosrotabar Jannis Kuhmann Martin Grimmer Stephan Rinderknecht Maziar A. Sharbafi Faculty of Mechanical Engineering Institute for Mechatronic Systems Technical University Darmstadt Germany Lauflabor Locomotion Lab. Institute of Sports Science Technical Uni-versity Darmstadt Darmstadt Germany Department of Electrical En-gineering and Information Technology Control and Cyber-Physical Systems Technical University Darmstadt Darmstadt Germany

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

This study explored the feasibility of incorpo-rating a passive Brain-Computer Interface (BCI) into the individualization process of wearable assistive devices, with a specific focus on lower-limb exoskeletons. These devices can greatly improve mobility and quality of life for those with lower limb impairments. However, their optimal performance relies on personalized adjustments. This study offered a unique approach to user feedback without intentional control. A one-degree-of-freedom knee exoskeleton was utilized, introducing different levels of impedance to create distinct assistance levels. The analysis identified specific brain clusters, notably the right premotor and supplementary motor cortex, exhibiting significant differences in activity between the easiest and the most challenging conditions. This critical proof-of-concept step demonstrated that through decoding the user's brain activity, passive BCI could support the individualization of assistive technology. This approach indicated the potential to enhance the performance and user experience of wearable assistive devices.

关键词： Performance evaluation Brain Exoskeletons Motors User experience Brain-computer interfaces Decoding Assistive devices Impedance Robots

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Assessment of Atmospheric Radiation Effects on Aircraft Safety Analysis

Assessment of Atmospheric Radiation Effects on Aircraft Safe...

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International Conference on Recent Advances in Space Technologies (RAST)

作者： Ayçin Gürdamar Şeref Naci Engin Department of Avionics Engineering Graduate School of Science and Engineering Yıldız Technical University Istanbul Türkiye Department of Control and Automation Engineering Electrical and Electronics Faculty Yıldız Technical University Istanbul Türkiye

This paper discusses the importance of safety engineering in the identification, mitigation, and elimination of hazards to achieve an acceptable level of risk for a product or system throughout its life cycle. Safety analysis is essential to airworthiness regulations and is required for the certification of a product, ensuring compliance with the related type certificate release and hence safety requirements. It involves evaluating functional hazard scenarios for each system function and classifying them in terms of severity. It focuses on the occurrence frequency of critical systematic and random failure conditions. This is achieved through fault tree analysis of combinations of failure conditions. The paper presents a generic study on atmospheric radiation effects on aircraft and methods for analytical calculation of system reliability characteristics using qualitative and quantitative analyses on susceptible parts and qualitative analysis at system and aircraft levels. The outcome of the study is the achievement of a sufficient confidence level of see for aircraft altitudes up to 35000ft with both calculation and observation results. Avionics operating at altitudes between 35000-60,000 feet constitute a risk factor and should be analysed case by case.

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Early Blockage of Mycobacterium Tuberculosis Cell-wall Synthesis via EchA\6 Inhibition to Overcome Resistance Strain: Insights from Umbrella Sampling Simulations

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Current Bioactive Compounds 2023年第10期19卷 2-17页

作者： Askandar, Rafee Habib Sharifi, Farhad Shayan, Sepideh Mohammadi, Helya Rahimi, Arian Ardalan, Noeman Mohammed, Heshw Farhad Research Center Sulaimani Polytechnic University Sulaimani Iraq Department of Biology Rasht Branch Islamic Azad University Rasht Iran Department of Biochemistry Faculty of Biological Sciences North Tehran Branch Islamic Azad University Tehran Iran Young Researchers and Elite Club Sanandaj Branch Islamic Azad University Sanandaj Iran Young Researchers and Elite Club East Tehran Branch Islamic Azad University Tehran Iran Department of Microbiology Science and Research Branch Islamic Azad University Tehran Iran Department of Food Science and Quality Control Technical College of Applied Science Sulaimani Polytechnic University Kurdistan Regional Government Suleimania Iraq

Background: Tuberculosis (TB) has long been the major infectious cause of mortality, ranking higher than HIV/AIDS as the most common cause of death from a single infectious agent worldwide. The EchA6 target of mycobacteria plays a vital role in synthesizing an important com-ponent of the mycobacterial outer membrane. The failure of TB treatment has prompted the investigation of novel anti-tubercular drugs. Objective: This study was aimed at blockage of Mycobacterium tuberculosis cell-wall synthesis via EchA6 inhibition to overcome resistance strain. Methods: Over 3,000,000 compounds and GSK951A (positive control) were investigated as the inhibitors in this study. The GROMACS molecular dynamic package was used to analyze the pro-tein-inhibitor complex's conformational changes under constant temperature and pressure. Also, umbrella sampling (US) was used for free binding energy (∆G) calculation. Results: Four compounds were chosen for the docking investigation. According to the MD analysis, the studied inhibitors demonstrated good stability and flexibility. According to ∆G obtained from US, the ∆G of GSK951A, ZINC11815220, ZINC67770050, ZINC55048326, and ZINC89700914 were-6.14 kcal mol^-1,-5.25 kcal mol^-1,-10.19 kcal mol^-1,-8.55 kcal mol^-1, and-8.37 kcal mol^-1, respectively. Conclusion: In conclusion, ZINC67770050 is recommended for further study in the laboratory. This investigation is an important starting point for discovering anti-tubercular drugs using EchA6 inhibition. © 2023 Bentham science Publishers.

关键词： EchA6 inhibitor molecular docking molecular dynamics simulation Mycobac-terium tuberculosis Tuberculosis umbrella sampling

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Formation of ethane by activation of methane on B, N co-doped graphene surface decorated by Ir13 cluster: A first principle study

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Applied Surface science 2024年 654卷

作者： Damte, Jemal Yimer Hailu, Yohannes Mulugeta Cammarata, Antonio Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technicka 2 Prague 616627 Czech Republic Department of Chemical Engineering National Taiwan University of Science and Technology Section 4 Keelung Road Da'an District Taipei10607 Taiwan

The most critical processes in designing a potential catalyst for the production of ethane are activating methane and suppressing further dehydrogenation. In the present study, using first- principle calculations, we predict that the BNG-Ir13 cluster can efficiently activate methane and promote the C[sbnd]C coupling reactions. Ir in the BNG-Ir13 cluster's top site is found to be the most stable adsorption site of methane with stable adsorption energy of −0.45 eV. Methane is activated with a low activation energy barrier of 0.16 eV, and the reaction energy is −0.54 eV. It is the most facile step and is thermodynamically favorable, likely to occur at low-temperature conditions. The fourth dehydrogenation step is the rate-determining step, which shows the highest activation energy barrier (1.24 eV) in the methane dehydrogenation process on the BNG- Ir13 cluster. Based on the DFT calculations, selective dehydrogenation of methane and self- coupling reactions of methyl groups formed ethane with a low kinetic barrier assisted by the BNG-Ir13 cluster. Furthermore, hydrogen molecules are likely to form, implying that the BNG-Ir13 cluster is a potential and bi-functional catalyst in selective conversion of methane to ethane and in the production of hydrogen molecules at optimum conditions. © 2024 Elsevier B.V.

关键词： Dehydrogenation

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Optimizing Energy Efficiency in 5G Networks: Integrating Multi-Packet Reception with Reinforcement Learning and Genetic Algorithms

Optimizing Energy Efficiency in 5G Networks: Integrating Mul...

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International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： V. Arun A. Gowtham U. Arul J. Angeljulie Department of Computing Technologies Faculty of Engineering and Technology School of Computing SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Department of CSE (Cyber Security) Madanapalle Institute of Technology & Science Madanapalle Annamayya District Andhra Pradesh Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Saveetha University Chennai Tamil Nadu India Department of CSE Karpagam Academy of Higher Education Coimbatore Tamilnadu India

ISBN: (数字)9798331505462

ISBN: (纸本)9798331505479

The rapidly expanding data demand and the explosion of connected devices require energy-efficient answers in 5G networks. This study proposes a three-pronged solution that integrates Multi-Packet Reception (MPR), Reinforcement Learning (RL), and Genetic Algorithms (GA) to improve energy efficiency in 5G networks. MPR allows base stations to process incoming data more efficiently by receiving multiple packets at once. This not only helps the base station “talk” more efficiently with the devices that are supposed to be connected to it at any moment (which obviously is more inefficient under 5G, the way that MPR can help be more efficient, makes it the prime candidate for meeting the challenge at hand) but also allows the incoming data to be processed at the same rate it could under the old conditions of processing one packet at a time. We use Genetic Algorithms to directly tackle what we consider the core problems of the 5G system: how to efficiently (jointly) serve users and how to efficiently allocate power among the serving base stations to minimize power consumption without sacrificing service quality (QoS). We developed an integrated method that demonstrates how to simultaneously achieve three goals: (1) significant energy savings; (2) improved network performance; and (3) enhanced sustainability under 5G conditions…. We assume a base station [BS] model close to real-world. Based on this model, we simulate our method in several scenarios. In these scenarios, we validate the network performance gains, energy savings, and enhanced sustainability that we design our method to achieve.

关键词： Base stations Power demand 5G mobile communication Energy conservation Reinforcement learning Quality of service Performance gain Energy efficiency Sustainable development Genetic algorithms

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Collaborative Smart Environmental Monitoring Using Flying Edge Intelligence

Collaborative Smart Environmental Monitoring Using Flying Ed...

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IEEE Conference on Global Communications (GLOBECOM)

作者： T. Tolga Sari Sabtain Ahmad Atakan Aral Gökhan Seçinti Department of Computer Engineering Istanbul Technical University Istanbul Turkey Institute of Information Systems Engineering Vienna University of Technology Vienna Austria Department of Computing Science Umeå University Umeå Sweden Faculty of Computer Science University of Vienna Vienna Austria

Smart environmental monitoring is crucial for public health and ecological balance as it enables us to monitor and react to environmental hazards. However, effective environmental monitoring can be hindered by the lack of infrastructure and high monetary costs. These challenges are even more pronounced in remote areas, where networking and energy sources are often limited or nonexistent. To address these challenges, we utilize UAVs to form a FANET which can provide effective communication infrastructure suitable for environment monitoring. Moreover, we utilize Edge Intelligence at these UAVs to increase the processing speed and reduce the data size that needs to be transmitted. Our results show that, compared to statically placed gateways, our solution is able to attain similar average age of information for monitoring results while also significantly increasing system capacity.

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Influence of the variables describing brain signals on the performance of the Naive Bayesian Classifier

Influence of the variables describing brain signals on the p...

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2022 Progress in Applied Electrical Engineering, PAEE 2022

作者： Kawala-Sterniuk, Aleksandra Zygarlicki, Jaroslaw Lysiak, Adam Grochowicz, Barbara Pelc, Mariusz Bauer, Waldemar Baczkowicz, Dawid Krecisz, Krzysztof Dylag, Katarzyna A. Wieczorek, Wiktoria Kahankova, Radana Martinek, Radek Opole University of Technology Faculty of Electrical Engineering Automatic Control and Informatics Opole Poland University of Greenwich School of Computing and Mathematical Sciences London United Kingdom Agh University of Science and Technology Department of Automatic Control and Robotics Krakow Poland Opole University of Technology Faculty of Physical Education and Physiotherapy Opole Poland St. Louis Children Hospital Krakow Poland Jagiellonian University in Krakow-Collegium Medicum Department of Pathophysiology Krakow Poland Jagiellonian University in Krakow-Collegium Medicum Department of Bioinformatics and Telemedicine Krakow Poland Vsb - Technical University Ostrava Department of Cybernetics and Biomedical Engineering-FEECS Ostrava-Poruba Czech Republic

ISBN: (纸本)9781665455152

In this paper various variables describing brain signals such as near-infrared spectroscopy (NIRS) and electroencephalography (EEG) on the Naive Bayesian Classifier were presented. Analysis of biomedical signals is a very challenging task - therefore the authors of this work decided to analyse two types of brain signals - EEG and NIRS, which have different features, character, nature and are differently prone to various artifacts occurrence. The applied classifiers can be applied for various features extraction and pattern comparisons, which is useful in diagnostic processes. © 2022 IEEE.

关键词： Near infrared spectroscopy

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Structure,magnetic and adsorption properties of novel FePt/h-BN heteromaterials

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Nano Research 2023年第1期16卷 1473-1481页

作者： Anton S.Konopatsky Vladislava V.Kalinina Alena S.Savchenko Denis.V.Leybo Ekaterina V.Sukhanova Viktor S.Baidyshev Zakhar I.Popov Andrey V.Bondarev Josef Polčák Dmitry V.Shtansky National University of Science and Technology(MISIS) Leninskiy prospect 4Moscow119049Russia Emanuel Institute of Biochemical Physics RAS Kosygina 4Moscow119334Russia Katanov Khakas State University 90 Lenin pr.655017 AbakanRussia Plekhanov Russian University of Economics 36 Stremyanny per.Moscow 117997Russia Department of Control Engineering Faculty of Electrical EngineeringCzech Technical University in PragueTechnicka 2Prague 16627Czech Republic CEITEC-Central European Institute of Technology Brno University of TechnologyPurkyňova 123Brno 61200 BrnoCzech Republic

Nanomaterials with high specific surface area and high absorption capacity are attracting increased interest aimed at imparting the desired magnetic *** work is devoted to the study of the effect of heat treatment in a hydrogen atmosphere on the microstructure,adsorption and magnetic properties of heterogeneous FePt/h-BN *** via the polyol process,FePt nanoparticles(NPs)had a size<2 nm and were uniformly distributed over the surface of hexagonal boron nitride(h-BN)*** temperature-activated fcc→fct phase transformation in ultrafine FePt NPs has been well *** NPs act as active centers dissociating H2 molecules and transfer adsorbed hydrogen atoms to the *** functional theory(DFT)calculations also indicate that the h-BN substrate can absorb hydrogen adsorbed on the FePt *** hydrogen circulation in the FePt/h-BN system promoted the fcc→fct phase transformation and allowed to control the magnetic ***/h-BN nanomaterials also exhibited a high adsorption capacity with respect to various organic dyes.

关键词： FePt/h-BN nanomaterials polyol synthesis phase transformations magnetic properties adsorption

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Experimental investigation of the impact ethanol-biodiesel-diesel blended fuels on combustion, emission, and performance of compression ignition diesel engine

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Materials Today: Proceedings 2022年 66卷 2830-2835页

作者： Wai, P. Karin, P. Phairote, W. Chollacoop, N. Kosaka, H. Po-ngen, W. Department of Mechanical Engineering School of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand National Metal and Materials Technology Center National Science and Technology Development Agency Pathum Thani 12120 Thailand Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo 179-0085 Japan Department of Teacher Training in Mechanical Engineering Faculty of Technical education King Mongkut's University of Technology North Bangkok Bangsue Bangkok 10800 Thailand

This research was directed to reduce the global diesel engine emissions and dependency on finite fossil fuel reserves. The ethanol was blended by weight ratio with commercial "B20" fuel (20% palm oil's biodiesel and 80% diesel) as B20E5 (95% B20 with 5% ethanol), B20E10 (90% B20 with 10% ethanol) and B20E20 (80% B20 with 20% ethanol). The results of the engine's performance, combustion, emission, and agglomerate particles size using blended fuels were compared with the results of based commercial B20 fuel. All fuel samples were tested on a four-cylinder direct injection diesel engine at a constant load of 140Nm with engine speeds of 1000RPM, 1500RPM and 2000RPM. When the engine speed increased, the brake-specific fuel consumption decreased, and the brake thermal efficiency increased. The B20E20 shows the highest brake-specific fuel consumption because of the low energy content of the fuel blend and the highest thermal efficiency because of a better combustion process. The ethanol-blended fuels show higher peaks of in-cylinder pressure and heat release rate than the base B20 fuel, with B20E20 as the highest. Ethanol blended fuels have significant advantages in particulate matters reduction, especially in idle engine speed. The blended fuels decreased soot and CO2 emissions and increased NOx emission. The agglomerate particles size distribution was analysed with 100 samples for each fuel by using Scanning Electron Microscopy (SEM) and Image J tools. The average agglomerate particle size of B20, B20E5, B20E10 and B20E20 are 0.253 µm, 0.245 µm, 0.225 µm and 0.187 µm, respectively. As conclusion, adding ethanol to diesel fuel provide strong advantages on soot reduction and higher engine efficiency due to the enrich of fuel oxygen. © 2022

关键词： Ethanol

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Role of J/ψ production in electron-ion collisions

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Physical Review D 2025年第1期111卷 L011501-L011501页

作者： Zexuan Chu Jinhui Chen Xiang-Peng Wang Hongxi Xing Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics Fudan University Shanghai 200433 China Shanghai Research Center for Theoretical Nuclear Physics NSFC and Fudan University Shanghai 200438 China Technical University of Munich TUM School of Natural Sciences Physics Department James-Franck-Strasse 1 85748 Garching Germany Key Laboratory of Atomic and Subatomic Structure and Quantum Control (MOE) Guangdong Basic Research Center of Excellence for Structure and Fundamental Interactions of Matter Institute of Quantum Matter South China Normal University Guangzhou 510006 China Guangdong-Hong Kong Joint Laboratory of Quantum Matter Guangdong Provincial Key Laboratory of Nuclear Science Southern Nuclear Science Computing Center South China Normal University Guangzhou 510006 China Southern Center for Nuclear-Science Theory (SCNT) Institute of Modern Physics Chinese Academy of Sciences Huizhou 516000 China

Within the framework of nonrelativistic QCD (NRQCD) effective field theory, we study the leptoproduction of J/ψ at next-to-leading order in perturbative QCD for both unpolarized and polarized electron-ion collisions. We demonstrate that the J/ψ-tagged deep inelastic scattering in the future Electron-Ion Collider can be served as a golden channel for reasons including constraining NRQCD long-distance matrix elements, probing the nuclear gluon distribution functions, as well as investigating the gluon helicity distribution inside a longitudinal polarized proton.

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