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Multi-Scale Analysis Combined Operando Elemental/Spectroscopic Measurement Techniques in Oxide-Type All-Solid-State Na Batteries

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Energy & Environmental Materials 2025年第2期8卷 38-47页

作者： Koji Hiraoka Kazuo Yamamoto Takeshi Kobayashi Tetsuo Sakamoto Shiro Seki Graduate School of Engineering Applied Chemistry and Chemical Engineering Program Kogakuin University Nanostructures Research Laboratory Japan Fine Ceramics Center Energy Transformation Research Laboratory Central Research Institute of Electric Power Industry Graduate School of Engineering Electrical Engineering and Electronics Program Kogakuin University

Understanding the charge/discharge mechanism of batteries plays an important role in the development of high-performance systems,but extremely complicated reactions are *** these complex phenomena are also bottlenecks for the establishment of all-sol id-state batteries(ASSB),we conducted multi-scale analysis using combined multi-measurement techniques,to directly observe charge/discharge reactions at hierarchical scales for the oxide-type ASSB using Na as the carrier *** particular,all of measurement techniques are applied to cross-section ASSB in the same cell,to complementarily evaluate the elemental distributions and structural *** Operando scanning electron microscopy-energy-dispersive X-ray spectroscopy,the Na concentration in the electrode layers changes on the micrometer scale under charge/discharge reactions in the first ***,Operando Raman spectroscopy reveal changes in the bonding states at the atomic scale in the active material,including changes in reversible structural *** cycling the ASSB,the elemental distributions are clearly observed along with the particle shapes and can reveal the Na migration mechanism at the nanometer scale,by time-of-flight secondary ion mass ***,this study can provide a fundamental and comprehensive understanding of the charge/discharge mechanism by observing reaction processes at multiple scales.

关键词： Operando oxide-type all-solid-state battery Raman SEM-EDS sodium battery TOF-SIMS

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Analyzing Patterns of Violence Against Women in Pernambuco Using Self-Organizing Maps and Apriori Algorithm

Analyzing Patterns of Violence Against Women in Pernambuco U...

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2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024

作者： Da Silva, Brenda Barros Alves Pereira, Rodolfo Moreira De Oliveira Rodrigues, Cleyton M. De Araujo Fagundes, Roberta Andrade Polytechnic School of Pernambuco POLI/UPE Graduate Program in Computer Engineering Recife Brazil

ISBN: (纸本)9798350374575

This study investigates significant patterns of violence against women in Pernambuco using Self-Organizing Maps (SOM) and the Apriori algorithm. The methodology includes trend analysis, clustering, and association rule mining, utilizing data from the Ministério da Mulher covering 2015 to 2021. The exploratory data analysis identified demographic, temporal, and spatial trends in violence. SOM was employed for dimensionality reduction and clustering, revealing three clusters representing 5.24%, 19.68%, and 75.08% of the dataset, respectively. The Apriori algorithm was applied to yearly subsets of each cluster to uncover relevant association patterns. Our findings highlight key characteristics and temporal dynamics of violence, supporting the development of targeted interventions and support systems. © 2024 IEEE.

关键词： Self organizing maps

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Verification of Impedance Matching Using Input/Output Current Equalization Control in Wireless Power Transfer Systems with Active Rectifier

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IEEJ Transactions on Industry Applications 2025年第4期145卷 261-271页

作者： Kobayashi, Seiya Maekawa, Sari Electrical Engineering Program Graduate School of Science and Technology Meiji University 1-1-1 Higashimita Tama-ku Kanagawa Kawasaki214-8571 Japan

The efficiency of a wireless power transfer system changes with the load. To solve this problem, an impedance matching method has been developed. Conventional methods control the equivalent load to the optimal value using circuit parameters and the detected load voltage and current. However, they require estimating the mutual inductance M in case of misalignment or an airgap change. M-estimation has some issues such as a limited operating range. In this study, we developed a high-efficiency operation method that can respond to a change in M without its estimation by controlling the currents in the coils to equalize them. We confirmed that the developed method enables highly efficient operation without M-estimation despite misalignment. © 2025 The Institute of electrical Engineers of Japan.

关键词： Inductive power transmission

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Interfacial-Layer-Free Ge0.95Si0.05Nanosheet FeFETs

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IEEE Transactions on Electron Devices 2024年第3期71卷 1758-1763页

作者： Hsieh, Wan-Hsuan Chen, Yu-Rui Liu, Yi-Chun Zhao, Zefu Lee, Jia-Yang Tu, Chien-Te Huang, Bo-Wei Wang, Jer-Fu Lee, M.H. Liu, C.W. Graduate Institute of Electronics Engineering National Taiwan University Taipei10617 Taiwan Institute and Undergraduate Program of Electro-Optical Engineering Graduate School of Advance Technology National Taiwan University Taipei10617 Taiwan National Taiwan University Graduate School of Advance Technology Taipei10617 Taiwan Graduate Institute of Electronics Engineering Graduate Institute of Photonics and Optoelectronics Graduate School of Advanced Technology National Taiwan University Department of Electrical Engineering Taipei10617 Taiwan

The substantial memory window (MW) of 1.8 V is achieved by utilizing stacked two nanosheet (NS) gate-all-around (GAA) Ge0.95 Si0.05 ferroelectric field-effect transistors (FeFETs), employing a low write voltage of 2 V. The channel phosphorus concentration 1E18 cm-3 is used to erase the absence of interfacial layer (IL) can reduce the operation voltage. An isotropic wet etching process is employed for channel release. The stacked two NSs offer the advantages of reducing cell-to-cell variation and doubling the read current. Additionally, the stability of data storage is demonstrated with the data retention of >1E4 s, linearly extrapolated to a span of 10 years, and exhibiting high endurance >1E11 cycles. The thermal budget is as low as 400 °C. © 1963-2012 IEEE.

关键词： III-V semiconductors

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A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders

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Railway engineering Science 2024年第4期32卷 421-443页

作者： Jorge Magalhães Tomás Jorge Rúben Silva António Guedes Diogo Ribeiro Andreia Meixedo Araliya Mosleh Cecília Vale Pedro Montenegro Alexandre Cury CONSTRUCT-LESE School of EngineeringPolytechnic of PortoPortoPortugal CONSTRUCT-LESE Faculty of EngineeringUniversity of PortoPortoPortugal Graduate Program in Civil Engineering Federal University of Juiz de ForaJuiz de ForaBrazil

Wayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness(OOR) damage wheels, such as wheel flats and polygonal wheels. This automatic damage identification algorithm is based on the vertical acceleration evaluated on the rails using a virtual wayside monitoring system and involves the application of a two-step procedure. The first step aims to define a confidence boundary by using(healthy) measurements evaluated on the rail constituting a baseline. The second step of the procedure involves classifying damage of predefined scenarios with different levels of severities. The proposed procedure is based on a machine learning methodology and includes the following stages:(1) data collection,(2) damage-sensitive feature extraction from the acquired responses using a neural network model, i.e., the sparse autoencoder(SAE),(3) data fusion based on the Mahalanobis distance, and(4) unsupervised feature classification by implementing outlier and cluster analysis. This procedure considers baseline responses at different speeds and rail irregularities to train the SAE model. Then, the trained SAE is capable to reconstruct test responses(not trained) allowing to compute the accumulative difference between original and reconstructed signals. The results prove the efficiency of the proposed approach in identifying the two most common types of OOR in railway wheels.

关键词： OOR wheel damage Damage identification Sparse autoencoder Passenger trains Wayside condition monitoring

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APPROACH TO PREDICT CHEMICAL EXERGY AND SYNGAS YIELD IN BRAZILIAN BIOMASS WASTE GASIFICATION USING AN ARTIFICIAL NEURAL NETWORK 37

APPROACH TO PREDICT CHEMICAL EXERGY AND SYNGAS YIELD IN BRAZ...

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37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2024

作者： Vargas, Gabriel Gomes de Oliveira Junior, Silvio Polytechnic School of University of São Paulo Mechanical Engineering Graduate Program São Paulo São Paulo Brazil

ISBN: (纸本)9798331307660

In this paper, multi-layer feed forward neural networks are used to predict the chemical exergy, hydrogen mole fraction, carbon monoxide mole fraction, and methane mole fraction during gasification of Brazilian wastes biomasses during gasification in a bubbling fluidized bed reactor. These artificial neural networks (ANNs) with different architectures are trained using the Adam back-propagation algorithm and a cross validation is also performed to ensure that the results generalize to other unseen datasets. A rigorous study is carried out on optimally choosing the number of hidden layers, number of neurons in the hidden layer and activation function in a network. Ten input and four output parameters are used to train and test various neural network architectures in single output prediction paradigms using the available experimental datasets. The model selection procedure is carried out to ascertain the best network architecture in terms of predictive accuracy. The simulation results show that the ANN based methodology is a viable alternative which can be used to predict the performance of a bubbling fluidized bed gasifier. © 2024 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems, ECOS 2024. All rights reserved.

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Performance Evaluation of KNIME Low Code Platform in Deep Learning Study and Optimal Hyperparameter Tuning

Performance Evaluation of KNIME Low Code Platform in Deep Le...

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2024 IEEE Region 10 Conference, TENCON 2024

作者： Thongkhome, Pornpawee Yonezawa, Takuro Kawaguchi, Nobuo G30 International Program in Electrical Electronic and Information Engineering School of Engineering Nagoya University Aichi Japan Graduate School of Engineering Nagoya University Aichi Japan

ISBN: (纸本)9798350350821

A low-code platform is a software development environment that allows for the creation of applications through graphical user interfaces and configuration instead of traditional hand-coded computer programming. In this study, the application to classify a dataset of traffic sign images using the KNIME low-code deep learning development platform will be discussed to represents this software performance especial in term of model optimization processes. By creates the workflow to perform image preprocessing, create the CNN layer under KERAS sequential API and finding the best set of key hyperparameters among traditional KNIME build-in optimization algorithm including Brute force, Hill climbing, random search, Bayesian Optimization and black-box optimizer Optuna optimization algorithm under 3 types CNN architecture as simple CNN, Resnet-50 and VGG16 to classify traffic sign images. The result demonstrates that both grid search and random search optimization can be effective, while both Optuna and Bayesian optimization stands out as a powerful method due to its ability to efficiently explore the hyperparameter space and achieve superior results to meet 99% accuracy under simple CNN environment, but Optuna is significantly improve optimization times than Bayesian about 7 - 8 times. The KNIME low-code platform provides a user-friendly environment for developing and fine-tuning models to contribute the ongoing progress in machine learning and deep learning research development. © 2024 IEEE.

关键词： Graphical user interfaces

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ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicular CAN Bus Networks 33

ZeroCAN: Anomaly-Based Zero-Day Attack Detection in Vehicula...

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33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing, PDP 2025

作者： Rendel, Jonathan Balte, William Kurunathan, Harrison Ali, Hazem Ismail Roque, Alexandre Dos Santos Morais, Wagner Ourique De Fazeli, Mahdi Halmstad Sweden Polytechnic Institute of Porto CISTER/ISEP Portugal Federal University of Rio Grande do Sul - UFRGS Graduate Program of Electrical Engineering Porto Alegre Brazil

ISBN: (纸本)9798331524937

Zero-day attacks present a significant security threat to vehicular networks, exploiting vulnerabilities at both software and hardware levels within such systems that remain undiscovered. Mitigating these threats is essential to ensuring the safety and security of vehicular systems. Support Vector Machine (SVM) is a good candidate for anomaly detection of zero-day attacks within vehicular networks because it can handle highdimensional data and effectively distinguish between normal and abnormal patterns in complex and dynamic environments. A trained SVM on the normal operation data of in-vehicular network can identify flag deviations, thus making it effective in the detection of any previously unknown attack patterns, which is a common behaviour of zero-day attacks. In this paper, we introduce an anomaly detection method called "ZeroCAN"which models the behaviour of every single electronic control unit on the network with a separate SVM and a set of high-level features that capture the timing and data payload aspects of CANbus traffic. This approach achieves an anomaly detection rate of over 99% and a false positive rate below 0.01% during normal operation in most cases. © 2025 IEEE.

关键词： Anomaly detection CAN bus IDS Feature engineering Zero-day

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Compliance of Non-GSO Satellite with Radio Regulations Regarding to Interference with GSO Earth Stations. Case Study: Starlink and Telkom 3S 8

Compliance of Non-GSO Satellite with Radio Regulations Regar...

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8th International Conference on Information Technology, Information Systems and electrical engineering, ICITISEE 2024

作者： Hidayati, Rizki Sutyarjoko, Meiditomo Wijanto, Heroe Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (纸本)9798350368970

This research aims an analyze of the interference analysis of the implementation of Telkom-3S and Starlink in Indonesia at downlink Ku-band Frequency based on the epfd calculation. This research conducts an analysis of the effect of avoidance angle on the interference caused by non-GSO satellites, it explores a concept concerning a victim GSO earth station. We use TLE to determine the number of Starlink that visible on the antenna ES of Telkom 3S. Based on the results of the calculations using an avoidance angle 0°- 80°, the higher of avoidance angle, the lower level of epfd and we also recognize that the epfd analyzed exceeds the interference limit suggested by ITU-R article 22 and based on the analysis of the epfd calculation using several avoidance angles, we recommend for Starlink to transmit the power level when the avoidance angle at 10° of ES Telkom 3S. © 2024 IEEE.

关键词： Satellite ground stations

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Frequency Band Analysis and Spectrum Pricing for High Throughput Satellite in Indonesia 9

Frequency Band Analysis and Spectrum Pricing for High Throug...

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9th International Conference on Wireless and Telematics, ICWT 2023

作者： Ramadhani, Saenab Wijanto, Heroe Sudjai, Miftadi School of Electrical Engineering Telkom University Graduate Program of Regulation and Management of Telecommunication Bandung Indonesia School of Electrical Engineering Telkom University Regulation and Management of Telecommunication Bandung Indonesia

ISBN: (纸本)9798350305029

Ku-band and Ka-band are frequency bands that are widely used for high throughput satellites, in Indonesia Ku-band have been used in several types of satellite services to support bandwidth limitations in the C-band. For this reason, a comparative study of Ku-band and Ka-band was carried out to ensure that the two frequency bands can be used in Indonesia's tropical climate and further evaluate the existing regulations for the implementation of HTS in Indonesia. The results of this study show that Ku-band and Ka-band can be used for HTS satellites in Indonesia. All communication links tested showed C/N values higher than the minimum requirements of C/N. Although both frequency bands can use in Indonesia, in terms of economy and efficiency, Ka-band is greater than Ku-band, the availability of wide bandwidth makes the throughput produced by Ka-band more than Ku-band. Capacity measurement simulation is also carried out with two frequency reuse schemes where higher throughput is present at 8 spot beams per cluster scheme. The scenario requires at least nine times frequency reuse to cover the entire region of Indonesia with total throughput on Ka-band 123.02 Gbps under normal sky conditions and 55.56 Gbps under rain sky conditions. The regulation review process resulted in suggestions for changes to the bandwidth cost index to be used in setting spectrum prices for the use of HTS. The need for this change is based on the consideration that bandwidth cost index was previously the base price for satellite transponders with a small bandwidth and HTS satellites are sensitive bandwidth technology. © 2023 IEEE.

关键词： Satellites

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