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Insight into Janus V2COS as anode material of high-performance alkali metal ion battery: Diffusion barrier, recyclability, specific capacity, and open-circuit voltage

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Physical Review Materials 2024年第8期8卷 085801-085801页

作者： Fanfan Wang Jun Yuan Zhufeng Zhang Baoan Song Junhua Zhao Jincheng Yue Tian Xu Jun Zhou School of Physical Science and Technology Faculty of Electrical Engineering and Computer Science College of Chemical and Material Engineering School of Electronic Information Engineering

Transition metal carbides, nitrides, and carbonitrides, known as MXenes, exhibit exceptional conductivity, stability, and large specific surface area, rendering them promising candidates for anode materials in rechargeable batteries. Herein, we investigate the electrochemical characteristics of the Janus MXene V2COS monolayer, as an anode material of alkali metal ion batteries by using first-principles calculations. The phonon band structure and ab initio molecular dynamics simulations confirm the stability of the Janus V2COS monolayer. The mechanical and electrical properties of the Janus V2COS monolayer are explored and proved to have good mechanical stability and electrical conductivity. The surface of the Janus V2COS monolayer demonstrates the facile adsorption of alkali metal ions and low diffusion barriers. As an anode material, the recyclability of the Janus V2COS has been verified in the ion intercalation/deintercalation processes. Furthermore, the theoretical specific capacities and the open-circuit voltages of the Janus V2COS monolayer are calculated to be 165.54mAh/g and 2.62 V for Li, 662.18mAh/g and 0.76 V for Na, and 294.43mAh/g and 0.4 V for K, respectively. It presents that the Janus V2COS monolayer is a potential anode material of sodium-ion batteries and potassium-ion batteries.

关键词： Electrochemical properties 2-dimensional systems Density functional theory First-principles calculations

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The optimal use of stationary battery storage in a prosumer power system 7

The optimal use of stationary battery storage in a prosumer ...

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7th International Conference on Smart and Sustainable Technologies, SpliTech 2022

作者： Knezevic, Goran Misljenovic, Nemanja Radic, Niksa Brandis, Andrej Faculty of Electrical Engineering Computer Science and Information Technologies Osijek Croatia

ISBN: (纸本)9789532901160

In this paper, optimization model for energy management in the prosumer power system is presented. Previous passive electricity consumers by integrating the renewable energy sources in their possession become consumers with their own generation, or so-called prosumers. The optimization model gives the optimal schedule of a stationary battery storage utilization and charging schedule of the battery in electric vehicle (EV) according to expected production from photovoltaic (PV) power plant and household consumption. The goal of the optimization model is to minimize electricity cost for prosumer power system. The optimization model is applied on a case study to show general features of the model. The case study refers to an assumed prosumer power system consisting of a 10 kW PV power plant, stationary battery storage rated capacity of 20 kWh and a household load considering charging the battery in EV. The simulations are performed for working day and one weekend day. The results show savings in electricity costs when the stationary battery storage is used in the prosumer power system. © 2022 University of Split, FESB.

关键词： Optimization

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Mental Disorders Prediction with Heterogeneous Graph Convolutional Network

Mental Disorders Prediction with Heterogeneous Graph Convolu...

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2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022

作者： Lin, Haocai Pan, Jiacheng Dong, Yihong Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

In the medical imaging field, computer-Aided Detection (CADe) has greatly benefited from the recent development of Graph Convolutional Networks (GCNs). GCN-based predictive models require building a population graph to detect the disease states of each subject, based on imaging and non-imaging data. Until now, all existing population-level methods are homogeneous, failing to consider sex differences. To address this issue, we present a heterogeneous population graph convolutional network with hierarchical attention mechanisms, including intra-level and inter-level attention. Specifically, the intra-level attention layer is aimed at learning differences and similarities between the sexes, while the inter-level attention layer is responsible for information integration by assigning weights to different features. The objective is to obtain node embeddings describing individual characteristics completely and provide discriminative inputs to classifiers. Compared to benchmark models, our proposal achieves satisfying prediction results on three datasets, illustrating the framework's ability to extract predictive attributes from medical multimodal data. © 2022 IEEE.

关键词： Heterogeneous networks

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Analyzing Linter Usage and Warnings Through Mining Software Repositories: A Longitudinal Case Study of JavaScript Packages 45

Analyzing Linter Usage and Warnings Through Mining Software ...

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Hericko, Tjasa Sumak, Bostjan University of Maribor Faculty of Electrical Engineering and Computer Science Maribor Slovenia

ISBN: (纸本)9789532331035

Linters are static analysis tools supporting developers by automatically detecting possible code errors, bad coding practices, violations of coding conventions, and styling issues while offering actionable advice on how to resolve these concerns to prevent inconsistencies in the codebase, errors, and degrading software quality. They are especially beneficial for software projects based on dynamically-typed languages, e.g., JavaScript, which are more prone to development errors and inconsistencies due to languages' dynamic nature. However, little is known about how their usage and generated warnings evolve throughout the entire development histories of real-world software projects. This paper performs source code-based commit history analysis on 15 JavaScript npm packages. The empirical analysis of 16,562 commits revealed that the choice of linter and their configurations are rarely subjected to change once introduced to a package. When configurations do change, most modifications are minor. Unresolved violations of rules, which produce warnings, generally increase. Though, the density of warnings was found to be slightly decreasing with the maturity of a package - overall and for each distinct group of warnings. © 2022 Croatian Society MIPRO.

关键词： Static analysis

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Comparison of different acceleration sensors for low power vibrations and shock detection in supply chain 45

Comparison of different acceleration sensors for low power v...

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Zidar, Josip Aleksi, Ivan Matic, Tomislav Zagar, Drago Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia

ISBN: (纸本)9789532331035

The supply chain is a large process that is responsible for the delivery of products all around the world. Different hazards can affect the products and cause damage during product delivery, e.g. temperature, moisture, vibrations, etc. Shock and vibrations are common during transporting and handling goods in the supply chain and can cause product failures like breakage, deformation, etc. This paper analyzes the properties of several commercially available acceleration sensors for shock and vibrations detection. A Custom PCB board is developed, and sensors are tested to detect product vibrations and shock in the laboratory environment. Packages can travel long journeys before reaching the set destination. Therefore, power consumption is analyzed for the tested sensors. Presented results show that different acceleration sensors need to be used for vibrations and shock detection in the supply chain. © 2022 Croatian Society MIPRO.

关键词： Supply chains

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Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets

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Neural Computing and Applications 2025年第8期37卷 6217-6232页

作者： Nematzadeh, Hossein Mani, Joseph Nematzadeh, Zahra Akbari, Ebrahim Mohamad, Radziah Modern College of Business and Science Muscat Oman Department of Electrical Engineering and Computer Science Florida Institute of Technology MelbourneFL32901 United States Otolaryngology Department School of Medicine Emory University AtlantaGA30322 United States Department of Computer Engineering Sari Branch Islamic Azad University Sari Iran Faculty of Computing Universiti Teknologi Malaysia Skudai81310 Malaysia

Abstract: Feature selection poses a challenge in high-dimensional datasets, where the number of features exceeds the number of observations, as seen in microarray, gene expression, and medical datasets. There is not a universally optimal feature selection method applicable to any data distribution, and as a result, the literature consistently endeavors to address this issue. One recent approach in feature selection is termed frequency-based feature selection. However, existing methods in this domain tend to overlook feature values, focusing solely on the distribution in the response variable. In response,this paper introduces the Distance-based Mutual Congestion (DMC) as a filter method that considers both the feature values and the distribution of observations in the response variable. DMC sorts the features of datasets, and the top 5% are retained and clustered by KMeans to mitigate multicollinearity. This is achieved by randomly selecting one feature from each cluster. The selected features form the feature space, and the search space for the Genetic Algorithm with Adaptive Rates (GAwAR) will be approximated using this feature space. GAwAR approximates the combination of the top 10 features that maximizes prediction accuracy within a wrapper scheme. To prevent premature convergence, GAwAR adaptively updates the crossover and mutation rates. The hybrid DMC-GAwAR is applicable to binary classification datasets, and experimental results demonstrate its superiority over some recent works. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Feature Selection

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An Efficient Approach of Drowsiness Detection Based on ResNet50 and Xception Architectures 3

An Efficient Approach of Drowsiness Detection Based on ResNe...

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3rd IEEE International Conference on Electronic engineering, ICEEM 2023

作者： El-Nabi, Samy Abd El-Rabaie, El-Sayed M. Emam, Ahmed Ramadan, Khalil F. Faculty of Computer Science and Engineering Dept. of Artificial Intelligence Engineering South Sinai46511 Egypt Menoufia University Faculty of Electronic Engineering Dept. of Electronics and Electrical Communications Menouf32952 Egypt Menoufia University Dept. of Computer Science and Math Faculty of Science Menoufia Egypt

ISBN: (纸本)9798350323511

This paper delves into a critical aspect of road safety by investigating a method to detect drowsiness in images. The accurate utilization of this technology by fatigued drivers holds the potential to prevent numerous fatal accidents, as the proposed models exhibit swift responsiveness in identifying instances of driver drowsiness. Within the realm of eye closure detection, two drowsiness models, namely ResNet50 and Xception, are employed to portray various eye state classifications. Nonetheless, the scarcity of readily available and reliable eye datasets poses a formidable challenge. Leveraging the power of ResNet50, deep facial features are extracted, resulting in an impressive accuracy of 98.06%. Similarly, the utilization of Xception yields a commendable accuracy of 95.69% when evaluated with the MRL dataset. These experimental outcomes firmly establish the higher accuracy and cost-effectiveness of eye closure estimation, thereby underscoring the efficacy of the proposed framework for drowsiness recognition. © 2023 IEEE.

关键词： Cost effectiveness

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SWIPT-enabled Cell-free Millimeter-wave MIMO with Multiple IRSs

SWIPT-enabled Cell-free Millimeter-wave MIMO with Multiple I...

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2023 IEEE Globecom Workshops, GC Wkshps 2023

作者： Do-Duy, Tan Van, Nguyen Thi Thanh Luong, Nguyen Cong Niyato, Dusit Ho Chi Minh City University of Technology and Education Faculty of Electrical and Electronics Engineering Viet Nam Phenikaa University Faculty of Electrical and Electronic Engineering Hanoi12116 Viet Nam Phenikaa University Faculty of Computer Science Hanoi12116 Viet Nam School of Computer Science and Engineering Nanyang Technological University 639798 Singapore

ISBN: (纸本)9798350370218

In this paper, we investigate a simultaneous wireless information and power transfer (SWIPT)-enabled cell-free millimeter-wave multiple-input multiple-output (MIMO) system. Therein, multiple base stations (BSs) serve multiple users by using the SWIPT based on power-splitting (PS) protocol. To further improve the system throughput and harvested energy, multiple intelligent reflecting surfaces (IRSs) are deployed. We formulate an optimization problem that aims to optimize the beamformers of the BSs, phase shifts of the IRSs, and PS factors at users to maximize the minimum energy efficiency of the users. The max-min energy efficiency optimization problem is computationally intractable, and we propose an alternating descent algorithm to solve it with low computational complexity. Simulation results demonstrate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： cell-free mmWave MIMO intelligent reflecting surface SWIPT

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Improved Manta Ray Foraging Optimizer-based SVM for Feature Selection Problems:A Medical Case Study

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Journal of Bionic engineering 2024年第1期21卷 409-425页

作者： Adel Got Djaafar Zouache Abdelouahab Moussaoui Laith Abualigah Ahmed Alsayat Faculty of informatics University of Science and Technology Houari BoumedieneAlgiersAlgeria LRIA Laboratory University of Science and Technology Houari BoumedieneAlgiersAlgeria Computer Science Department University of Mohamed El Bachir El IbrahimiBordj Bou ArreridjAlgeria Computer Science Department University of Ferhat AbbasSetifAlgeria Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq 25113Jordan Department of Computer Science College of Computer and Information SciencesJouf UniversityJoufSaudi Arabia Department of Electrical and Computer Engineering Lebanese American University13-5053ByblosLebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman 19328Jordan MEU Research Unit Middle East UniversityAmman 11831Jordan Applied science research center Applied science private universityAmman 11931Jordan School of Computer Sciences Universiti Sains Malaysia11800 PenangMalaysia School of Engineering and Technology Sunway University Malaysia27500 Petaling JayaMalaysia

Support Vector Machine(SVM)has become one of the traditional machine learning algorithms the most used in prediction and classification ***,its behavior strongly depends on some parameters,making tuning these parameters a sensitive step to maintain a good *** the other hand,and as any other classifier,the performance of SVM is also affected by the input set of features used to build the learning model,which makes the selection of relevant features an important task not only to preserve a good classification accuracy but also to reduce the dimensionality of *** this paper,the MRFO+SVM algorithm is introduced by investigating the recent manta ray foraging optimizer to fine-tune the SVM parameters and identify the optimal feature subset *** proposed approach is validated and compared with four SVM-based algorithms over eight benchmarking ***,it is applied to a disease Covid-19 *** experimental results show the high ability of the proposed algorithm to find the appropriate SVM’s parameters,and its acceptable performance to deal with feature selection problem.

关键词： Support vector machine Parameters tuning Feature selection Bioinspired algorithms Manta ray foraging optimizer

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A New Configuration for Waveguide Filters With Parallel Coupling Paths 15

A New Configuration for Waveguide Filters With Parallel Coup...

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15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023

作者： Wu, Weijun Guo, Zai-Cheng Zhu, Lei Nanjing Normal University School of Electrical and Automation Engineering Nanjing210046 China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering 999078 China

ISBN: (纸本)9798350338874

A new configuration is proposed for filters with parallel coupling paths between the source and load in this paper. The proposed fourth-order waveguide bandpass filter (BPF) with two parallel coupled paths is formally designed through this structure. The filter is working at 6.5 GHz and with 300 MHz bandwidth. Due to the two parallel coupling paths, a pair of transmission zeros (TZs) are generated out of passband. Compared with previous waveguide filters, the coupling paths are connected to the source and load in different sides of input/output waveguide. In this way, the waveguide cavity of the resonator can be increased and the insertion loss of the filter can be greatly reduced. The effectiveness of the fourth-order waveguide bandpass filter is verified by simulation results. © 2023 IEEE.

关键词： Bandpass filters

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