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Slender loris optimization algorithm for solving optimization problems

Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 8799-8810页

作者： Lakshmi, A. Vijaya Vaitheki, K. Joseph, K. Suresh Department of Computer Science School of Engineering and Technology Pondicherry University India

Over the years, numerous optimization problems have been addressed utilizing meta-heuristic algorithms. Continuing initiatives have always been to create and develop new, practical algorithms. This work proposes a novel meta-heuristic approach employing the slender Loris optimization algorithm (SLOA), miming slender Loris behavior. The behavior includes foraging, hunting, migration and communication with each other. The ultimate goal of the devised algorithm is to replicate the food-foraging behaviour of Slender Loris (SL) and the quick movement of SL when threatened (i.e.) their escape from predators and also mathematically modelled the special communication techniques of SL using their urine scent smell. SLOA modelled SL’s slow food foraging behaviour as the exploitation phase, and moving between the tree and escaping from a predator is modelled as the exploration phase. The Eyesight of slender Loris plays a vital role in food foraging during nighttime in dim light. The operator’s Eyesight is modelled based on the angle of inclination of SL. The urine scent intensity is used here to be instrumental in preventing already exploited territory activities, which improves algorithm performance. The suggested algorithm is assessed and tested against nineteen benchmark test operations and evaluated for effectiveness with standard widely recognized meta-heuristics algorithms. The result shows SLOA performing better and achieving near-optimal solutions and dominance in exploration–exploitation balance in most cases than the existing state-of-the-art algorithms. © 2024 – IOS Press. All rights reserved.

关键词： Benchmarking

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Fusion Model for Tentative Diagnosis Inference Based on Clinical Narratives

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Tsinghua science and technology 2023年第4期28卷 686-695页

作者： Ying Yu Junwen Duan Min Li School of Computer Science and Engineering Central South UniversityChangsha 410083Chinaand also with the School of Computer ScienceUniversity of South ChinaHengyang 421001China Hunan Provincial Key Lab on Bioinformatics School of Computer Science and EngineeringCentral South UniversityChangsha 410083China

In general,physicians make a preliminary diagnosis based on patients’admission narratives and admission conditions,largely depending on their experiences and professional *** automatic and accurate tentative diagnosis based on clinical narratives would be of great importance to physicians,particularly in the shortage of medical *** its great value,little work has been conducted on this diagnosis ***,in this study,we propose a fusion model that integrates the semantic and symptom features contained in the clinical *** semantic features of the input text are initially captured by an attention-based Bidirectional Long Short-Term Memory(BiLSTM)*** symptom concepts,recognized from the input text,are then vectorized by using the term frequency-inverse document frequency method based on the relations between symptoms and ***,two fusion strategies are utilized to recommend the most potential candidate for the international classification of diseases *** training and evaluation are performed on a public clinical *** results show that both fusion strategies achieved a promising performance,in which the best performance obtained a top-3 accuracy of 0.7412.

关键词： tentative diagnosis clinical narrative Bidirectional Long Short-Term Memory(BiLSTM) Term FrequencyInverse Document Frequency(TF-IDF) fusion strategy

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Effect of microwave-assisted acidification on the microstructure of coal:XRD,^(1)H-NMR, and SEM studies

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International Journal of Mining science and technology 2023年第7期33卷 919-926页

作者： He Li Wuche Liu Jiexin Lu Yi Lu Shiliang Shi Zheng Wang Qing Ye Zhenzhen Jia School of Resource Environment and Safety EngineeringHunan University of Science and TechnologyXiangtan 411201China

Microwave heating contributes to coal fracturing and gas desorption. However, problems of low penetration depth, local overheating and fracture closure exist. Coal demineralisation by acids has advantages in coal unblocking and permeability improvement, while it is difficult for acid to enter ***-asisted acidification may offer an alternative. In this work, XRD,^(1)H-NMR, and SEM were used to evaluate the effect of microwave-assisted acidification on the microstructure of coal. Results show that kaolinite, calcite, and dolomite can be dissolved by acid. After microwave irradiation, the graphitization of microcrystalline structure of carbon improves. Microwave-assisted acidification erodes minerals in coal and enhances the graphitization degree of microcrystalline structure. Compared to individual microwave irradiation or acidification, the pore volume and pore connectivity can be greatly enhanced by microwave-assisted acidification. The NMR permeability of coal increased by 28.05%. This study demonstrates the potential of microwave-assisted acidification for coalbed methane recovery.

关键词： Microwave-assisted acidification Microstructure XRD ^(1)H-NMR SEM

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Defects in monolayer WS2 grown via sulfurization of WSe2

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Progress in Natural science:Materials International 2024年第2期34卷 323-328页

作者： Shunhui Zhang Xiang Lan Hang Liu Xuyang Zhang Baihui Zhang Zhikang Ao Tian Zhang Peng Chen Xiangdong Yang Fangping Ouyang Zhengwei Zhang Hunan Key Laboratory of Nanophotonics and Devices School of Physics Central South University College of Materials Science and Engineering Hunan University Physical Sciences and Engineering Division King Abdullah University of Science and Technology School of Energy and Power Engineering Changsha University of Science and Technology School of Flexible Electronics (Future Technologies) Institute of Advanced Materials Jiangsu National Synergetic Innovation Centre for Advanced Materials Nanjing Tech University School of Microelectronics Southern University of Science and Technology Institute of Micro/Nano Materials and Devices Ningbo University of Technology

The conversion of chalcogen atoms into other types of chalcogen atoms in transition metal dichalcogenides exhibits significant advantages in tuning the bandgaps and constructing lateral ***,despite atomic defects at the atomic scale were inevitably formed during conversion process,the construction of dislocations remains ***,we conducted in-situ sulfurization to achieve structural transformation from monolayer WSe2to *** probe these transformations at atomic scale using high-angle annular dark field scanning transmission electron microscopy（HAADF-STEM） and study structural defects of sulfurizedWS2by strain and displacement *** discovered that high-quality WSe2flakes were completely sulfurized while dislocations were successfully constructed,manifesting atomic surface roughness and structural *** work provides insights into designing and optimizing customized Transition metal dichalcogenides（TMDs）materials in controlled synthesis and defect engineering.

关键词： Tungsten disulfide Tungsten diselenide Sulfurization Dislocations Strain and displacement fields

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Adversarial Modality Alignment Network for Cross-Modal Molecule Retrieval

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第1期5卷 278-289页

作者： Zhao, Wenyu Zhou, Dong Cao, Buqing Zhang, Kai Chen, Jinjun Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan425100 China Swinburne University of Technology Department of Computing Technologies MelbourneVIC3122 Australia Guangdong University of Foreign Studies School of Information Science and Technology Guangzhou510420 China

The cross-modal molecule retrieval (Text2Mol) task aims to bridge the semantic gap between molecules and natural language descriptions. A solution to this nontrivial problem relies on a graph convolutional network (GCN) and cross-modal attention with contrastive learning for reasonable results. However, there exist the following issues. First, the cross-modal attention mechanism is only in favor of text representations and cannot provide helpful information for molecule representations. Second, the GCN-based molecule encoder ignores edge features and the importance of various substructures of a molecule. Finally, the retrieval learning loss function is rather simplistic. This article further investigates the Text2Mol problem and proposes a novel adversarial modality alignment network (AMAN) based method to sufficiently learn both description and molecule information. Our method utilizes a SciBERT as a text encoder and a graph transformer network as a molecule encoder to generate multimodal representations. Then, an adversarial network is used to align these modalities interactively. Meanwhile, a triplet loss function is leveraged to perform retrieval learning and further enhance the modality alignment. Experiments on the ChEBI-20 dataset show the effectiveness of our AMAN method compared with baselines. © 2020 IEEE.

关键词： Semantics

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Progress on the Fault Diagnosis Approach for Lithium-ion Battery Systems:Advances,Challenges,and Prospects

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Protection and Control of Modern Power Systems 2024年第5期9卷 16-41页

作者： Hanxiao Liu Luan Zhang Liwei Li School of Control Science and Engineering Shandong UniversityJinan 250061China School of Computer Science and Technology Shandong UniversityQingdao 266237China

Because of their advantages of high energy and power density,low self-discharge rate,and long lifespan,lithium-ion batteries(LIBs)have been widely used in many applications such as electric vehicles,energy storage systems,smart grids,***,lithium-ion battery systems(LIBSs)frequently malfunction because of complex working conditions,harsh operating environment,battery inconsistency,and inherent defects in battery ***,safety of LIBSs has become a prominent problem and has attracted wide ***,efficient and accurate fault diagnosis for LIBs is very *** paper provides a comprehensive review of the latest research progress in fault diagnosis for ***,the types of battery faults are comprehensively introduced and the characteristics of each fault are ***,the fault diagnosis methods are systematically elaborated,including model-based,data processing-based,machine learning-based and knowledge-based *** latest research is discussed and existing issues and challenges are presented,while future developments are also *** aim is to promote further researches into efficient and advanced fault diagnosis methods for more reliable and safer LIBs.

关键词： Battery management system battery safety fault diagnosis lithiumion battery system

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Thermodynamics-directed bulk/grain-boundary engineering for superior electrochemical durability of Ni-rich cathode

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Journal of Energy Chemistry 2024年第10期97卷 321-331,I0006页

作者： Kangyu Zou Mingzhu jiang Tianxiang Ning Lei Tan Junchao Zheng Jiexi Wang Xiaobo Ji Lingjun Li School of Materials Science and Engineering Changsha University of Science and TechnologyChangsha 410114HunanChina Cllege of Chemistry and Chemical Engineering Central South UniversityChangsha 410083HunanChina School of Metallurgy and Environment Central South UniversityChangsha 410083HunanChina National Engineering Research Centre of Advanced Energy Storage Materials Changsha 410205HunanChina

Introducing high-valence Ta element is an essential strategy for addressing the structu ral deterioration of the Ni-rich LiNi_(1-x-y)Co_(x)Mn_(y)O_(2)(NCM)cathode,but the enlarged Li/Ni cation mixing leads to the inferior rate capability originating from the hindered Li~+*** that the non-magnetic Ti~(4+)ion can suppress Li/Ni disorder by removing the magnetic frustration in the transition metal ***,it is still challenging to directionally design expected Ta/Ti dual-modification,resulting from the complexity of the elemental distribution and the uncertainty of in-situ formed coating compounds by introducing foreign ***,a LiTaO_3 grain boundary(GB)coating and bulk Ti-doping have been successfully achieved in LiNi_(0.834)Co_(0.11)Mn_(0.056)O_(2) cathode by thermodynamic guidance,in which the structural formation energy and interfacial binding energy are employed to predict the elemental diffusion discrepancy and thermodynamically stable coating *** to the coupling effect of strengthened structural/interfacial stability and improved Li~+diffusion kinetics by simultaneous bulk/GB engineering,the Ta/Ti-NCM cathode exhibits outstanding capacity retention,reaching 91.1%after 400 cycles at 1 *** elaborate work contributes valuable insights into rational dual-modification engineering from a thermodynamic perspective for maximizing the electrochemical performances of NCM cathodes.

关键词： Ni-rich layered cathode Dual-modification Grain boundary coating Bulk doping Thermodynamic perspective

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Practical Teaching Methods of Oral English Under the Background of Big Data and Artificial Intelligence

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computer-Aided Design and Applications 2023年第S9期20卷 256-265页

作者： Yang, Yifang Chen, Aimin School of Humanities Hunan City University Yiyang413000 China School of Computer and Engineering Hunan University of Science and Technology Xiangtan411100 China

As an integral part of education, the goal of oral English is to enable students to master the basic knowledge and skills of the language, and to lay a good foundation for the sustainable development of students. The purpose of oral English teaching is to stimulate and cultivate students' interest in learning and to improve their oral English level. With the rapid application of data science and AI algorithms in various industries, all industries are developing in the direction of intelligence, and major changes are also taking place in the education industry. In the context of big data and artificial intelligence, teaching methods are no longer limited to traditional task-based teaching or other oral language teaching modes, but to intelligently recommend teaching based on the actual situation of students. © 2023 CAD Solutions, LLC.

关键词： Big data

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Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

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computer Modeling in engineering & sciences 2024年第6期139卷 2605-2625页

作者： Jungpil Shin Md.Al Mehedi Hasan Abu Saleh Musa Miah Kota Suzuki Koki Hirooka School of Computer Science and Engineering The University of AizuAizuwakamatsu965-8580Japan Department of Computer Science&Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing *** Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for ***,existing JSL recognition systems have faced significant performance limitations due to inherent *** response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning *** system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL ***,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second ***,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL *** reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the *** assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)*** results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

关键词： Japanese Sign Language(JSL) hand gesture recognition geometric feature distance feature angle feature GoogleNet

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Analysis of radiation diffusion of COVID-19 driven by social attributes

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Chinese Physics B 2024年第1期33卷 773-779页

作者：年福忠杨晓晨师亚勇 Lanzhou University of Technology School of Computer&CommunicationLanzhou 730050China University of Science and Technology Beijing School of Computer&Communication EngineeringBeijing 100083China

This paper first estimated the infectious capacity of COVID-19 based on the time series evolution data of confirmed cases in multiple countries. Then, a method to infer the cross-regional spread speed of COVID-19 was introduced in this paper, which took the gross domestic product(GDP) of each region as one of the factors that affect the spread speed of COVID-19 and studied the relationship between the GDP and the infection density of each region(China's Mainland, the United States, and EU countries). In addition, the geographic distance between regions was also considered in this method and the effect of geographic distance on the spread speed of COVID-19 was studied. Studies have shown that the probability of mutual infection of these two regions decreases with increasing geographic distance. Therefore, this paper proposed an epidemic disease spread index based on GDP and geographic distance to quantify the spread speed of COVID-19 in a region. The analysis results showed a strong correlation between the epidemic disease spread index in a region and the number of confirmed cases. This finding provides reasonable suggestions for the control of epidemics. Strengthening the control measures in regions with higher epidemic disease spread index can effectively control the spread of epidemics.

关键词： COVID-19 basic reproduction number gross domestic product(GDP) geographic distance cross-regional spread

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