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New strategy for Mg-air battery voltage-efficiency synergy by engineering protective film with cation vacancies on Mg anode surface

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材料科学技术（英文版） 2025年第10期213卷 24-41页

作者： Yuying He Qianyu Wang Jinghuai Zhang Lele Wang Shujuan Liu Zehua Li Zhen Wei Hao Dong Xiaobo Zhang Key Laboratory of Superlight Material and Surface Technology Ministry of EducationCollege of Material Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China Jiangsu Key Laboratory of Advanced Structural Materials and Application Technology Nanjing Institute of TechnologyNanjing 211167China

Although the Mg-air battery with high theoretical energy density is desirable for the energy supply of marine engineering equipment,its applications remain limited due to the low actual discharge volt-age and inferior Mg anode utilization *** addition to the microstructure of Mg alloy anodes,the properties of discharge product films are of great importance to the discharge ***,the discharge behaviors of Mg-Y-Zn alloys are first studied mainly from the perspective of film *** contrastive analysis,it is found that the sufficient Y3+produced during the discharge process can substitute Mg2+in Mg(OH)2 to introduce effective cation *** Mg-Y-Zn anode with pro-fuse cation vacancies in the product film shows a synergy of potential and efficiency,and this can be attributed to an increase in the migration pathway for Mg2+,reducing the diffusion over-potential caused by the protective product *** study is expected to provide a new strategy from the perspective of cation vacancy design of discharge film for developing high-performance Mg-air batteries.

关键词： Mg alloy Mg-air battery Product film Cation vacancy Discharge performance

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Facial Sentiment Analysis Using Convolutional Neural Network and Fuzzy Systems

Informatica (Slovenia)

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Informatica (Slovenia) 2024年第12期48卷 15-32页

作者： Kadhim, Ahmed R. Khudeyer, Raidah S. Alabbas, Maytham Department of Computer Information System College of Computer Science and Information Technology University of Basrah Basrah Iraq Department of Computer Science College of Computer Science and Information Technology University of Basrah Basrah Iraq

This study provides a detailed study of a Сonvolutional Neural Network (СNN) model optimized for facial eхpression recognition with Fuzzy logic using Fuzzy2DPooling and Fuzzy Neural Networks (FNN), and discusses data augmentation in model optimization. It highlights important roles. performance. First, the effectiveness of the models in classifying emotions from FER2013, RAB-DB, and СK+ datasets was evaluated by a 5-fold cross-validation method, which showed that the accuracy varied widely among different emotion classes and was affected by overfitting. It turned out to be easy. The integration of data augmentation techniques, including random rotation, translation, and inversion, significantly improved the model's generalization capabilities. This was evidenced by higher accuracy and more consistent loss curves observed across all folds. After augmentation, the model showed significant improvement, achieving average test accuracies of 98.95% on FER2013, 99.99% on RAF-DB, and 100% on СK+ across all folds. Despite these advances, challenges specific to certain classes of emotions remain, highlighting the need for continued model refinement. This study concludes that data augmentation is an important step in developing robust facial eхpression recognition models and has potential benefits for a variety of applications requiring accurate emotion recognition. © 2024 Slovene Society Informatika. All rights reserved.

关键词： Convolutional neural networks

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Novel high-temperature-resistant material SbLaO_(3) with superior hardness under high pressure

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Chinese Physics B 2025年第2期34卷 74-80页

作者： Haoqi Chen Haowen Jiang Xuehui Jiang Jialin Wang Chengyao Zhang Defang Duan Jing Dong Yanbin Ma School of Science Harbin University of Science and TechnologyHarbin 150080China College of Physics Jilin UniversityChangchun 130012China School of Public Health Mudanjiang Medical UniversityMudanjiang 157011China

Perovskites have garnered significant attention in recent years. However, the presence of La atoms at the B-site in ABX_(3) structures has not yet been observed. Under high pressure, perovskites exhibit unexpected phase transitions. In this study, we report the discovery of SbLaO_(3) under ambient pressure, with a space group of R3m. Mechanical property calculations indicate that it is a brittle material, and it possesses a band gap of 4.0266 e V, classifying it as an *** also investigate the phase at 300 GPa, where the space group shifts to P2_(1/m). Additionally, the P2_(1/m) phase of LaInO_(3) under 300 GPa is explored. Ab initio molecular dynamics calculations reveal that the melting point of SbLaO_(3) is exceptionally high. The inclusion of Sb alters the electronic structure compared with LaInO_(3), and the Vickers hardness(H_(v)) is estimated to reach 20.97 GPa. This research provides insights into the phase transitions of perovskites under high pressure.

关键词： high pressure molecular dynamics phase transition

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SCancerRNA:Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers

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Genomics, Proteomics & Bioinformatics 2024年第3期22卷 125-131页

作者： Hongzhe Guo Liyuan Zhang Xinran Cui Liang Cheng Tianyi Zhao Yadong Wang Faculty of Computing Harbin Institute of TechnologyHarbin 150001China College of Bioinformatics Science and Technology Harbin Medical UniversityHarbin 150001China School of Medicine and Health Harbin Institute of TechnologyHarbin 150001China

Non-coding RNAs(ncRNAs)participate in multiple biological processes associated with cancers as tumor suppressors or oncogenic *** to their high stability in plasma,urine,and many other fluids,ncRNAs have the potential to serve as key biomarkers for early diagnosis and screening of *** cancer progression,tumor heterogeneity plays a crucial role,and it is particularly important to understand the gene expression patterns of individual *** the development of single-cell RNA sequencing(scRNA-seq)technologies,uncovering gene expression in different cell types for human cancers has become feasible by profiling transcriptomes at the cellular ***,a well-organized and comprehensive online resource that provides access to the expression of genes corresponding to ncRNA biomarkers in different cell types at the single-cell level is not available ***,we developed the SCancerRNA database to summarize experimentally supported data on long ncRNA,microRNA,PIWI-interacting RNA,small nucleolar RNA,and circular RNA biomarkers,as well as data on their differential expression at the cellular ***,we collected biological functions and clinical applications of biomarkers to facilitate the application of ncRNA biomarkers to cancer diagnosis,as well as the monitoring of progression and targeted *** also allows users to explore interaction networks of different types of ncRNAs,and build computational models in the *** is freely accessible at http://***/BioMarker.

关键词： Non-coding RNA Biomarker Cancer Single cell Interaction network

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Research on SDN Security Detection Algorithm Based on Bayesian Network

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International Journal of Network Security 2023年第5期25卷 798-807页

作者： Luo, Zhiyong Wang, Shuyi Xu, Haifeng Zhang, Yu School of Computer Science and Technology Harbin University of Science and Technology China

This paper proposes a security detection algorithm for Software-Defined Networks (SDN) based on Bayesian networks, which constructs SDN six-tuple, calculates attack cost, attack benefit, vulnerability value, and attack preference, and uses PageRank to calculate device importance to establish an attack detection model that predicts intrusion paths. It fills the gap in current SDN detection methods that do not consider the impact of controller vulnerabilities and attack costs. Through experimental comparison, the proposed model can more accurately calculate the probability of device attacks and intrusion paths, effectively providing a basis for SDN monitoring and protection. © (2023). All Rights Reserved.

关键词： Bayesian networks

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DPTP-LICD:A differential privacy trajectory protection method based on latent interest community detection

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High-Confidence Computing 2023年第2期3卷 60-70页

作者： Weiqi Zhang Guisheng Yin Yuxin Dong Fukun Chen Qasim Zia College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China Department of Computer Science Georgia State UniversityAtlanta 30303USA

With the rapid development of high-speed mobile network technology and high-precision positioning technology,the trajectory information of mobile users has received extensive attention from academia and industry in the field of Location-based Social *** can mine users’trajectories in Location-based Social Networks to obtain sensitive information,such as friendship groups,activity patterns,and consumption ***,mobile users’privacy and security issues have received growing attention in Location-based Social *** is crucial to strike a balance between privacy protection and data *** paper proposes a differential privacy trajectory protection method based on latent interest community detection(DPTP-LICD),ensuring strict privacy protection standards and user data ***,based on the historical trajectory information of users,spatiotemporal constraint information is extracted to construct a potential community strength model for mobile ***,the latent interest community obtained from the analysis is used to identify preferred hot spots on the user’s trajectory,and their priorities are assigned based on a popularity model.A reasonable privacy budget is allocated to prevent excessive noise from being added and rendering the protected trajectory data ***,to prevent privacy leakage,we add Laplace and exponential noise in generating preferred hot spots and recommending user interest *** and effectiveness analysis shows that our mechanism provides effective points of interest recommendations and protects users’privacy from disclosure.

关键词： Differential privacy Community detection Trajectory data Community of interest Recommendation

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Surface Defect Detection Algorithm for Strip Steel Based on Improved YOLOv7 Model

IAENG International Journal of Computer Science

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IAENG International Journal of computer science 2024年第3期51卷 308-316页

作者： Wang, Zhu Liu, Weisheng the College of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China the College of Computer Science and Software Engineering the University of Science and Technology Liaoning CO Anshan114051 China

This research proposes a refined deep learning framework aimed at boosting the precision and efficacy of detecting surface imperfections in strip steel. This method integrates enhancement and simplification techniques inspired by the You Only Look Once version 7 (YOLOv7) detection method, resulting in significant enhancements in the model's accuracy, speed, and flexibility. The substitution of ELAN with Bottleneck Transformer 3 (BoT3) leads to improved accuracy and mean Average Precision (mAP) values, while also introducing a more lightweight network architecture. The incorporation of the Involution mechanism enhances the model's feature extraction capabilities, thereby improving its ability to recognize small targets through the utilization of local perceptual fields. The ASPP_CA architecture leverages a multi-scale feature fusion technique along with an attention mechanism to reduce model parameters and enhance inference speed. Furthermore, it extends the model's receptive field, allowing it to capture additional visual information. The enhanced algorithm, denoted as YOLOv7-IBA, demonstrates empirical results that underscore its superiority over the three current state-of-the-art detection techniques in identifying surface flaws on strip steel. The accuracy has been improved to 82.9%, representing a significant increase of 7.2% compared to the previous performance. Furthermore, the mean mAP value has experienced a 3.2% increase, reaching a total of 79.9%. Moreover, there has been a remarkable 8.8% improvement in efficiency. The adoption of this approach holds the potential to enhance both the precision and productivity of strip surface flaw detection, while also providing valuable methodological support for the advancement of other related disciplines. © (2024), (International Association of Engineers). All Rights Reserved.

关键词： Object detection

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SUDM-SP:A method for discovering trajectory similar users based on semantic privacy

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High-Confidence Computing 2023年第3期3卷 68-80页

作者： Weiqi Zhang Guisheng Yin Bingyi Xie College of Computer Science and Technology Harbin Engineering UniversityHarbin 150009China Department of Computer Science Georgia State UniversityGA 30303USA

With intelligent terminal devices’widespread adoption and global positioning systems’advancement,Location-based Social Networking Services(LbSNs)have gained considerable *** recommendation mechanism,which revolves around identifying similar users,holds significant importance in *** order to enhance user experience,LbSNs heavily rely on accurate *** mining and analyzing users who exhibit similar behavioral patterns to the target user,LbSNs can offer personalized services that cater to individual ***,trajectory data,a form encompassing various sensitive attributes,pose privacy *** disclosure of users’precise trajectory information can have severe consequences,potentially impacting their daily ***,this paper proposes the Similar User Discovery Method based on Semantic Privacy(SUDM-SP)for trajectory *** approach involves employing a model that generates noise trajectories,maximizing expected noise to preserve the privacy of the original *** users are then identified based on the published noise trajectory ***-SP consists of two key ***,a puppet noise location,exhibiting the highest semantic expectation with the original location,is generated to derive noisesuppressed trajectory ***,a mechanism based on semantic and geographical distance is employed to cluster highly similar users into communities,facilitating the discovery of noise trajectory similarity among *** trials conducted using real datasets,the effectiveness of SUDM-SP,as a recommendation service ensuring user privacy protection is substantiated.

关键词： Differential privacy LbSNs Semantic trajectory Recommendation

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Bioinspired sensing-memory-computing integrated vision systems: biomimetic mechanisms, design principles, and applications

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science China(Information sciences) 2024年第5期67卷 5-27页

作者： Yujie HUANG Yinlong TAN Yan KANG Yabo CHEN Yuhua TANG Tian JIANG Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology College of Advanced Interdisciplinary Studies National University of Defense Technology Institute for Quantum Science and Technology College of ScienceNational University of Defense Technology

With the explosion of sensory data in the Internet of Things(Io T) era, conventional machine vision systems are becoming increasingly difficult to meet the requirements of high efficiency, low energy consumption, and low latency due to their inherent shortcomings of separate sensing, memory, and computing units. Inspired by the retina and neuromorphic computing, the sensing-memory-computing integrated vision system(SMCVS) that features low power consumption, low latency, and high parallelism has been considered a promising technology to surpass the von Neumann architecture and realize strong artificial ***, novel materials like two-dimensional semiconductors and quantum dots with novel optoelectronic performance provide hardware carriers for implementing integrated sensing-memory-computing architectures,attracting considerable attention. This paper reviews the recent research progress in bioinspired vision systems in terms of biomimetic mechanisms, design principles, computational architectures, and ***, the biomimetic mechanisms are illustrated to guide the design of high-performance artificial visual perception systems. Then the research progress of optoelectronic-synapse-based bioinspired vision systems in the device principles and applications including image filtering, color recognition, visual adaptation, and motion detection are summarized. Finally, the challenges and future developing directions of the SMCVS are provided regarding bionic application, architecture design, and device fabrication.

关键词： sensing-memory-computing architecture neuromorphic computing retinomorphic device image recognition visual system

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A Speech Spoofing Detection Method Based on Feature Fusion and Residual Attention 24

A Speech Spoofing Detection Method Based on Feature Fusion a...

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4th Asia-Pacific Artificial Intelligence and Big Data Forum, AIBDF 2024

作者： Lan, Haiyan Dong, Linfan Wang, Yuhua Li, Yike Jiang, Dongxu Han, Zhiying College of Computer Science and Technology Harbin Engineering University Heilongjiang Harbin China

ISBN: (纸本)9798400710865

The emergence of various types of deception attacks presents a substantial risk to Automatic Speaker Verification (ASV) systems, and an increasing number of experts and scholars are focusing on the research of voice deception detection. This paper introduces an innovative approach for detecting voice deception that addresses the accuracy and generalization limitations of traditional methods. The introduced method is based on spectral-temporal feature fusion, which complements the acoustic features captured by different channels to obtain more comprehensive speaker information. It then utilizes multi-channel fused spectrogram features, applying a residual attention learning mechanism to assign varying levels of attention to the spectrogram features from different channels. The method further leverages an improved ResNet network to learn more refined acoustic information for classification. The method attained an EER of 3.60 and a t-DCF score of 0.0931 on the LA logical access corpus of ASVspoof 2019, which represent improvements of 55.5% and 56.0%, respectively, over the best performing baseline system. © 2024 Copyright held by the owner/author(s).

关键词： Spectrographs

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