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2D-layered Sn/Ge anodes for lithium-ion batteries with high capacity and ultra-fast Li ion diffusivity

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Journal of Energy Chemistry 2020年第8期29卷 160-165,I0006页

作者： Xiyu Cao Yanchen Fan Jiale Qu Tianshuai Wang Dominik Legut Qianfan Zhang School of Materials Science and Engineering Beihang UniversityBeijing 100191China it4innovations.vsb-technical university of ostrava CZ-70800 Ostrava-PorubaCzechia Nanotechnology Centre VSB-Technical University of OstravaCZ-70800 Ostrava-PorubaCzechia

As a new type of green energy, lithium-ion battery(LIB) has been widely used in various electric portable devices because of its high-voltage, large specific capacity, long cycle life and environmental friendliness [1,2]. However, today’s anode materials of commercial LIBs cannot meet the further development requirements of smart devices and electric car due to the limitations of the electrode capacity(e.g. 372 mAh g-1 for graphite).

关键词： 2D-layered material Stanene Germanene Lithium-ion battery Lithium diffusion

Bimetallic Single‑Atom Catalysts for Water Splitting

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Nano-Micro Letters 2025年第1期17卷 1-45页

作者： Megha A.Deshmukh Aristides Bakandritsos Radek Zbořil Nanotechnology Centre Centre for Energy and Environmental TechnologiesVŠB–Technical University of Ostrava17.listopadu 2172/1570800 Ostrava‑PorubaCzech Republic Regional Centre of Advanced Technologies and Materials Czech Advanced Technology and Research Institute(CATRIN)Palacky University OlomoucŠlechtitelů241/2778371 Olomouc–HoliceCzech Republic

Green hydrogen from water splitting has emerged as a critical energy vector with the potential to spearhead the global transition to a fossil fuel-independent *** field of catalysis has been revolutionized by single-atom catalysts(SACs),which exhibit unique and intricate interactions between atomically dispersed metal atoms and their ***,bimetallic SACs(bimSACs)have garnered significant attention for leveraging the synergistic functions of two metal ions coordinated on appropriately designed *** offer an avenue for rich metal–metal and metal–support cooperativity,potentially addressing current limitations of SACs in effectively furnishing transformations which involve synchronous proton–electron exchanges,substrate activation with reversible redox cycles,simultaneous multi-electron transfer,regulation of spin states,tuning of electronic properties,and cyclic transition states with low activation *** review aims to encapsulate the growing advancements in bimSACs,with an emphasis on their pivotal role in hydrogen generation via water *** subsequently delve into advanced experimental methodologies for the elaborate characterization of SACs,elucidate their electronic properties,and discuss their local coordination ***,we present comprehensive discussion on the deployment of bimSACs in both hydrogen evolution reaction and oxygen evolution reaction,the two half-reactions of the water electrolysis process.

关键词： Single-atom catalysts Single-atom dimers Hydrogen evolution Oxygen evolution Water splitting

A new GIS-compatible methodology for visibility analysis in digital surface models of earth sites

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Geoscience Frontiers 2021年第4期12卷 21-33页

作者： Katerina Ruzickova Jan Ruzicka Jan Bitta vsb–technical university of ostrava Czech Republic

As a GIS tool,visibility analysis is used in many areas to evaluate both visible and non-visible *** analysis builds on a digital surface model describing the terrain morphology,including the position and shapes of all objects that can sometimes act as visibility ***,some barriers,for example vegetation,may be permeable to a certain *** extensive research and use of visibility analysis in different areas,standard GIS tools do not take permeability into *** article presents a new method to calculate visibility through partly permeable *** method is based on a quasi-Monte Carlo simulation with 100 iterations of visibility *** iteration result represents 1%of vegetation permeability,which can thus range from 1%to 100%visibility behind vegetation *** main advantage of the method is greater accuracy of visibility results and easy implementation on any GIS *** incorporation of the proposed method in GIS software would facilitate work in many fields,such as architecture,archaeology,radio communication,and the military.

关键词： Digital surface model Visibility analysis Topographic data processing Obstacle object Permeability

Thermoelectric energy harvesting for internet of things devices using machine learning:A review

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CAAI Transactions on Intelligence Technology 2023年第3期8卷 680-700页

作者： Tereza Kucova Michal Prauzek Jaromir Konecny Darius Andriukaitis Mindaugas Zilys Radek Martinek vsb-technical university of ostrava OstravaCzech Republic Kaunas university of Technology KaunasLithuania

Initiatives to minimise battery use,address sustainability,and reduce regular maintenance have driven the challenge to use alternative power sources to supply energy to devices deployed in Internet of Things(IoT)*** a key pillar of fifth generation(5G)and beyond 5G networks,IoT is estimated to reach 42 billion devices by the year *** generators(TEGs)are solid state energy harvesters which reliably and renewably convert thermal energy into electrical *** devices are able to recover lost thermal energy,produce energy in extreme environments,generate electric power in remote areas,and power micro‐*** the state of the art,the authorspresent a comprehensive review of machine learning(ML)approaches applied in combination with TEG‐powered IoT devices to manage and predict available *** application areas of TEG‐driven IoT devices that exploit as a heat source the temperature differences found in the environment,biological structures,machines,and other technologies are *** on detailed research of the state of the art in TEG‐powered devices,the authors investigated the research challenges,applied algorithms and application areas of this *** aims of the research were to devise new energy prediction and energy management systems based on ML methods,create supervised algorithms which better estimate incoming energy,and develop unsupervised and semi‐supervised ap-proaches which provide adaptive and dynamic *** review results indicate that TEGs are a suitable energy harvesting technology for low‐power applications through their scalability,usability in ubiquitous temperature difference scenarios,and long oper-ating ***,TEGs also have low energy efficiency(around 10%)and require a relatively constant heat source.

关键词： adaptive systems intelligent embedded systems internet of things machine learning sensors

Research of Mechanical and Thermal Properties of Composite Material Based on Gypsum and Straw

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Journal of Renewable Materials 2022年第7期10卷 1859-1873页

作者： Nikola Vavřínová Kateřina Stejskalová JiříTeslík Kateřina Kubenková JiříMajer Faculty of Civil Engineering VSB-Technical University of OstravaOstrava70800Czech Republic

This article is focused on the investigation of the mechanical and thermal properties of composite material that could be used for the production of plaster or *** composite material is made of gypsum and reinforcing natural *** article verifies whether this natural reinforcement can improve the investigated properties compared to conventional plasters and gypsum plasterboards made of pure *** this composite material,high-strength plasterboards could then be produced,which meet the higher demands of users than conventional gypsum *** their production,natural waste materials would be used *** part of the development of new building materials,it is necessary to specify essential characteristics for their later use in civil *** wheat straw and three gypsum classes with strengths G2(2 MPa)—gypsum Class I.,G5(5 MPa)—gypsum Class *** G16(16 MPa)—gypsum Class *** used to create the test *** were made with different ratios of the two ingredients,with the percentages of straw being 0%,2.5%,and 5%for each gypsum *** first part of the article describes how the increasing proportion of straw affects the composite’s mechanical properties(flexural strength and compressive strength).The second part of the article focuses on the change of thermal properties(thermal conductivity and specific heat capacity).The last part of the article mentions the verification of the fire properties(single-flame source fire test and gross heat of combustion)of this composite *** research has shown that the increasing proportion of straw reinforcement caused a deterioration in the flexural strength(up to 56.49%in the *** of gypsum Class II.)and compressive strength(up to 80.27%in the *** of gypsum Class III.)and an improvement in the specific heat capacity and thermal conductivity(up to 31.40%in the ***).This composite material is thus not suitable for the production of high-streng

关键词： Composite material gypsum plasterboard crushed straw flexural strength compressive strength thermal conductivity specific heat capacity ignitability gross heat of combustion

Effects of LIDAR DEM resolution in hydrodynamic modelling: model sensitivity for cross-sections

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International Journal of Digital Earth 2013年第1期6卷 3-27页

作者： M.Podhorányi J.Unucka P.Bobál V.Ríhová Institute of geoinformatics faculty of mining and geologyvsb-technical university of ostravaostravaczech republic Institute of geological engineering faculty of mining and geology of vsb-technical universityostravaczech republic

With the development of science and technology the entire Earth,together with all of its phenomena,is gradually becoming an object of computer *** several years,this process has also affected water components,which are essential for the development of humans and economies on ***,monitoring of its resources and movement across the Earth’s surface is the main object of investigation of several research *** recent years,hydraulic modelling has experienced significant development that meets water and computer connection *** study consequently dealt with hydraulic modelling and uncertainties in the data that may affect the resulting flood *** analysed the effect of cross-sections generated and the subsequent inundation areas in Digital Elevation Models of different *** basic DEM was constructed from data obtained by the LIDAR *** results were obtained using a one-dimensional(1-D)model,HEC-RAS,and its extension,*** Olsˇe and Stona´vka river junction,located in the northeast region of the Czech Republic,was selected for *** resolutions selected for the study to generate cross-sections and the subsequent inundation areas were 1 m,5 m and 10 *** resulting cross-sections were confronted with the actual surveyed cross-sections.

关键词： digital flood cross-sections LIDAR hydrodynamic model HEC-RAS river topography

Data-Driven Self-Learning Controller for Power-Aware Mobile Monitoring IoT Devices

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Computers, Materials & Continua 2022年第2期70卷 2601-2618页

作者： Michal Prauzek Tereza Paterova Jaromir Konecny Radek Martinek vsb–technical university of ostrava Department of Cybernetics and Biomedical EngineeringOstrava70800Czech Republic

Nowadays,there is a significant need for maintenance free modern Internet of things(IoT)devices which can monitor an *** devices such as these are mobile embedded devices which provide data to the internet via Low Power Wide Area Network(LPWAN).LPWAN is a promising communications technology which allows machine to machine(M2M)communication and is suitable for smallmobile embedded *** paper presents a novel data-driven self-learning(DDSL)controller algorithm which is dedicated to controlling small mobile maintenance-free embedded IoT *** DDSL algorithm is based on a modified Q-learning algorithm which allows energy efficient data-driven behavior of mobile embedded IoT *** aim of the DDSL algorithm is to dynamically set operation duty cycles according to the estimation of future collected data values,leading to effective operation of power-aware *** presented novel solution was tested on a historical data set and compared with a fixed duty cycle reference *** root mean square error(RMSE)and measurements parameters considered for the DDSL algorithm were compared to a reference algorithm and two independent criteria(the performance score parameter and normalized geometric distance)were used for overall evaluation and *** experiments showed that the novel DDSL method reaches significantly lowerRMSE while the number of transmitted data count is less than or equal to the fixed duty cycle *** overall criteria performance score is 40%higher than the reference algorithm base on static confirmation settings.

关键词： 5G and beyond wireless IoT LPWAN M2M Q-learning

Enhancements of SDR-Based FPGA System for V2X-VLC Communications

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Computers, Materials & Continua 2021年第9期68卷 3629-3652页

作者： Lukas Danys Radek Martinek Rene Jaros Jan Baros Petr Simonik Vaclav Snasel Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia Department of Electronics Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia Department of Computer Science Faculty of Electrical Engineering and Computer ScienceVSB–Technical University of OstravaOstrava-Poruba70800Czechia

This pilot study focuses on a real measurements and enhancements of a software defined radio-based system for vehicle-to everything visible light communication(SDR-V2X-VLC).The presented system is based on a novel adaptive optimization of the feed-forward software defined equalization(FFSDE)methods of the least mean squares(LMS),normalized LMS(NLMS)and QR decomposition-based recursive least squares(QR-RLS)*** parameters of adaptive equalizations are adjusted in real-time to reach the best possible *** were carried out on a conventional LED Octavia III taillight drafted directly from production line and universal software radio peripherals(USRP)from National *** transmitting/receiving elements used multistate quadrature amplitude modulation(M-QAM)implemented in LabVIEW programming *** results were verified based on bit error ratio(BER),error vector magnitude(EVM)and modulation error ratio(MER).Experimental results of the pilot study unambiguously confirmed the effectiveness of the proposed solution(longer effective communication range,higher immunity to interference,deployment of higher state QAM modulation formats,higher transmission speeds etc.),as the adaptive equalization significantly improved BER,MER and EVM *** best results were achieved using the QR-RLS *** results measured on deployed QR-RLS algorithm had significantly better Eb/N0(improved by approx.20 dB)and BER values(difference by up to two orders of magnitude).

关键词： 5G feed-forward software defined equalization multistate quadrature amplitude modulation software defined radio visible light communication

Hybrid In-Vehicle Background Noise Reduction for Robust Speech Recognition:The Possibilities of Next Generation 5G Data Networks

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Computers, Materials & Continua 2022年第6期71卷 4659-4676页

作者： Radek Martinek Jan Baros Rene Jaros Lukas Danys Jan Nedoma vsb-technical university of ostrava Faculty of Electrical Engineering and Computer ScienceDepartment of Cybernetics and Biomedical Engineering70800Ostrava-PorubaCzechia vsb technical university of ostrava Faculty of Electrical Engineering and Computer ScienceDepartment of Telecommunications70800Ostrava-PorubaCzechia

This pilot study focuses on employment of hybrid LMS-ICA system for in-vehicle background noise *** vehicles are nowadays increasingly supporting voice commands,which are one of the pillars of autonomous and SMART *** speaker recognition for context-aware in-vehicle applications is limited to a certain extent by in-vehicle back-ground *** article presents the new concept of a hybrid system which is implemented as a virtual *** highly modular concept of the virtual car used in combination with real recordings of various driving scenarios enables effective testing of the investigated methods of in-vehicle background noise *** study also presents a unique concept of an adaptive system using intelligent clusters of distributed next generation 5G data networks,which allows the exchange of interference information and/or optimal hybrid algorithm settings between individual *** average,the unfiltered voice commands were successfully recognized in 29.34%of all scenarios,while the LMS reached up to 71.81%,and LMS-ICA hybrid improved the performance further to 73.03%.

关键词： 5G noise reduction hybrid algorithms speech recognition 5G data networks in-vehicle background noise