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Deformation Behavior and Microstructure Evolution of AZ31 Mg Alloy by Forging-Bending Repeated Deformation with Multi-pass Lowered Temperature

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Acta Metallurgica Sinica(English Letters) 2023年第8期36卷 1317-1335页

作者： Minhao Li Liwei Lu Yuhui Wei Min Ma Weiying Huang School of Mechanical Engineering Hunan University of Science and TechnologyXiangtan411201China Hunan Jinfeng Mechanical Technology Co. Ltd.Loudi417700China School of Materials Science and Engineering Hunan University of Science and TechnologyXiangtan411201China Jiangsu Dayang Precision Forging Co. Ltd.Yancheng224000China Key Laboratory of Efficient and Clean Energy Utilization School of Energy and Power EngineeringChangsha University of Science and TechnologyChangsha410114China

In this study, AZ31 Mg alloy was processed by a new severe plasticity deformation methodology with multi-pass lowered temperature, and the deformation behavior and microstructure evolution were investigated by finite element method and electron back-scattered diffraction technique and hardness. The results show that with the increase of deformation pass, the strain gradually springs, and its interval distribution tends to homogenize. Meanwhile, the effective strain increases dramatically with the shear force sudden upgrade in the deformation process. Moreover, the new deformation technique can refine grain size remarkably. With the passes on, {10-12} tensile twins behavior and the pyramidal < c + a > slip are triggered more frequently, leading to the completeness of dynamic recrystallization (DRX) gradually, which weaken and disperse the basal texture obviously. Besides, the standard deviation of hardness is getting smaller, and the maximum can reach 78.40 HV on average, which can be attributed to the even large strain distribution, complete DRX, and the high geometrically necessary dislocation.

关键词： AZ31 magnesium alloy sheet Forging-bending repeated deformation-Characterization Microstructure evolution Deformationbehavior

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A Fast Algorithm for Computing the Deficiency Number of a Mahjong Hand

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Chinese Journal of Electronics 2024年第6期33卷 1383-1398页

作者： Xueqing YAN Yongming LI Sanjiang LI School of Computer Science Shaanxi Normal University School of Mathematics and Statistics Shaanxi Normal University Centre for Quantum Software and Information Faculty of Engineering and Information TechnologyUniversity of Technology Sydney

The tile-based multiplayer game Mahjong is widely played in Asia and has also become increasingly popular worldwide. Face-to-face or online, each player begins with a hand of 13 tiles and players draw and discard tiles in turn until they complete a winning hand. An important notion in Mahjong is the deficiency number(*** number in Japanese Mahjong) of a hand, which estimates how many tile changes are necessary to complete the hand into a winning hand. The deficiency number plays an essential role in major decision-making tasks such as selecting a tile to discard. This paper proposes a fast algorithm for computing the deficiency number of a Mahjong hand. Compared with the baseline algorithm, the new algorithm is usually 100 times faster and, more importantly,respects the agent's knowledge about available tiles. The algorithm can be used as a basic procedure in all Mahjong variants by both rule-based and machine learning-based Mahjong AI.

关键词： Machine learning algorithms Knowledge based systems Decision making Asia Games

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S-scheme heterojunction construction of Fe/BiOCl/BiVO4 for enhanced photocatalytic degradation of ciprofloxacin

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Progress in Natural science:Materials International 2024年第2期34卷 290-303页

作者： Guanlong Yu Qifang Sun Yi Yang Si Chen Yuannan Long Yifu Li Shiyong Ge Dian Zheng School of Hydraulic and Environmental Engineering Changsha University of Science & Technology Key Laboratory of Dongting Lake Aquatic Eco-Environmental Control and Restoration of Hunan Province School of Environmental Engineering Wuhan Textile University

With the growing problem of water pollution caused by antibiotics,the development of photocatalysts with high photogenerated carrier separation efficiency is crucial.A high-efficiency microsphere Fe/BiOCl/BiVO4with Sscheme heterojunction was synthesized by solvothermal method and its ciprofloxacin（CIP） degradation performance were investigated under visible ***,FT-IR,SEM,EDS,HRTEM and XPS results show that the photocatalytic have good crystallization,morphology and the formed a *** photocatalytic performance of Fe/BiOCl/BiVO4for CIP was superior to pure BiOCl and BiVO4due to the microsphere and formed heterostructure between BiOCl and *** influencing factors of CIP degradation by Fe/BiOCl/BiVO4were investigated,and the results showed that Fe/BiOCl/BiVO4had high degradation efficiency not only at pH 5-9,but also in the presence of inorganic Cl-,NO3-and metal *** the optimal conditions,the degradation rate of CIP was up to 100% in 75 *** addition to CIP,the Fe/BiOCl/BiVO4photocatalysts degraded other organic pollutants,such as tetracycline,oxytetracycline,chlortetracycline,ofloxacin,levofloxacin,and rhodamine B,by more than 92%.The main active species were photogenerated holes（h+） and superoxide radicals（·O2-）.In addition,possible intermediates and toxicity of intermediates were analyzed and five potential pathways for CIP degradation were proposed.

关键词： BiOCl/BiVO4 Fe3+ doping Organic pollutant Photocatalysis S-scheme heterojunction

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A Novel Trustworthiness Measurement Model Based on Weight and User Feedback

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Chinese Journal of Electronics 2022年第4期31卷 612-625页

作者： ZHOU Wei MA Yanfang PAN Haiyu School of Computer Science and Technology Huaibei Normal University School of Computer Science and Information Engineering Changzhou Institute of Technology School of Computer Science and Information Security Guilin University of Electronic Technology

Software trustworthiness is an essential criterion for evaluating software quality. In componentbased software, different components play different roles and different users give different grades of trustworthiness after using the software. The two elements will both affect the trustworthiness of software. When the software quality is evaluated comprehensively, it is necessary to consider the weight of component and user feedback. According to different construction of components, the different trustworthiness measurement models are established based on the weight of components and user feedback. Algorithms of these trustworthiness measurement models are designed in order to obtain the corresponding trustworthiness measurement value automatically. The feasibility of these trustworthiness measurement models is demonstrated by a train ticket purchase system.

关键词： Component-based software Trustworthiness Weight User feedback Measurement

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Transparent and trustworthy interpretation of COVID-19 features in chest X-rays using explainable AI

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Multimedia Tools and Applications 2025年第18期84卷 19853-19881页

作者： Kinger, Shakti Kulkarni, Vrushali Computer Engineering & Technology School of Computer Science & Engineering Dr. Vishwanath Karad MIT World Peace University Pune India

The potential of AI-based disease prediction models for assessing COVID-19 patients outperforms conventional methods. However, their black-box nature has limited their applicability. This study explores the approach for COVID-19 identification by integrating Artificial Intelligence (AI) methods with Deep Neural Networks (DNNs), such as EfficientNet and DenseNet, applied for medical imaging. To address the black-box challenge, the study incorporates eXplainable AI (XAI) techniques, including LIME, Grad-CAM, and a novel variant of Grad-CAM++, termed "Modified Grad-CAM++ ". The modification aims to enhance explanations for COVID-19 predictions, improving the interpretability and transparency of the model’s decision-making process. Collaborating with expert radiologists, the study validates the Modified Grad-CAM++ using a separate dataset of radiologist-validated chest X-ray (CXR) images. The Integrated Uncertainty Calculation (IUC) metric is introduced as an evaluation measure for the Modified Grad-CAM++. Remarkably, both EfficientNet and DenseNet achieve high diagnostic precision, with accuracy rates of 98% and 97%, respectively. The integration of XAI algorithms enhances the interpretability and transparency of predictions, ensuring clinical relevance and validity. These precise AI models offer valuable support to healthcare professionals in decision-making and resource allocation. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： COVID-19

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Variance-SNR Based Noise Suppression on Linear Canonical Choi-Williams Distribution of LFM Signals

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Chinese Journal of Electronics 2022年第05期31卷 804-820页

作者： ZHANG Zhichao School of Mathematics and Statistics Nanjing University of Information Science and Technology School of Computer Science and Engineering Macau University of Science and Technology

By solving the existing expectation-signal-to-noise ratio(expectation-SNR) based inequality model of the closed-form instantaneous cross-correlation function type of Choi-Williams distribution(CICFCWD),the linear canonical transform(LCT) free parameters selection strategies obtained are usually *** the second-order moment variance outperforms the first-order moment expectation in accurately characterizing output SNRs, this paper uses the variance analysis technique to improve parameters selection strategies. The CICFCWD's average variance of deterministic signals embedded in additive zero-mean stationary circular Gaussian noise processes is first obtained. Then the so-called variance-SNRs are defined and applied to model a variance-SNR based inequality. A stronger inequalities system is also formulated by integrating expectation-SNR and variance-SNR based inequality models. Finally, a direct application of the system in noisy one-component and bi-component linear frequency-modulated(LFM) signals detection is studied. Analytical algebraic constraints on LCT free parameters newly derived seem more accurate than the existing ones, achieving better noise suppression effects. Our methods have potential applications in optical, radar, communication and medical signal processing.

关键词： linear canonical Choi-Williams distribution AWGN closed-form instantaneous cross-correlation function variance-SNR based inequality deterministic signals transforms LFM signal denoising statistical distributions Gaussian noise frequency modulation linear canonical transform free parameters signal detection average variance second-order moment variance expectation-signal-to-noise ratio variance-SNR based noise suppression CICFCWD analytical algebraic constraints LCT bicomponent linear frequency-modulated signals detection one-component linear frequency-modulated signals detection additive zero-mean stationary circular Gaussian noise processes LFM signals

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PBCounter:weighted model counting on pseudo-boolean formulas

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Frontiers of computer science 2025年第3期19卷 55-63页

作者： Yong LAI Zhenghang XU Minghao YIN College of Computer Science and Technology Jilin UniversityChangchun 130012China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin UniversityChangchun 130012China School of Computer Science and Information Technology Northeast Normal UniversityChangchun 130017China

In Weighted Model Counting(WMC),we assign weights to literals and compute the sum of the weights of the models of a given propositional formula where the weight of an assignment is the product of the weights of its *** current WMC solvers work on Conjunctive Normal Form(CNF)***,CNF is not a natural representation for human-being in many *** by the stronger expressive power of Pseudo-Boolean(PB)formulas than CNF,we propose to perform WMC on PB *** on a recent dynamic programming algorithm framework called ADDMC for WMC,we implement a weighted PB counting tool *** compare PBCounter with the state-of-the-art weighted model counters SharpSAT-TD,ExactMC,D4,and ADDMC,where the latter tools work on CNF with encoding methods that convert PB constraints into a CNF *** experiments on three domains of benchmarks show that PBCounter is superior to the model counters on CNF formulas.

关键词： weighted model counting pseudo-boolean constraint algebraic decision diagrams preprocessing techniques

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Enhancing sustainable 5G powered agriculture 4.0 : Summary of low power connectivity, internet of UAV things, AI solutions and research trends

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Multimedia Tools and Applications 2025年第17期84卷 17389-17433页

作者： Majumdar, Parijata Mitra, Sanjoy Bhattacharya, Diptendu Bhushan, Bharat Department of Computer Science and Engineering Techno College of Engineering Agartala Maheshkhola Madhuban799004 India Department of Computer Science and Engineering Tripura Institute of Technology Agartala Narsingarh Agartala799009 India Department of Computer Science and Engineering National Institute of Technology Agartala Jirania Agartala799046 India Department of Computer Science and Engineering School of Engineering and Technology Sharda University Greater Noida201310 India

Emerging technologies of Agriculture 4.0 such as the Internet of Things (IoT), Cloud Computing, Artificial Intelligence (AI), and 5G network services are being rapidly deployed to address smart farming implementation-related concerns and to fulfill the increasing food demand of the expanding demographics. Adoption of 5G offers numerous benefits including Ultra-Reliable Low Latency Communication (URLLC) required to reduce communication delays in time-sensitive applications, non-public networks to allocate part of the frequency spectrum on demand, and network slicing to fulfill the diverse requirements requested by a specific application etc. for realizing the full potential of Agriculture 4.0 operations. In this paper, a comprehensive review of 5G radio enhancements, enabling technologies, and multi-tier heterogeneous 5G network architecture are presented. The main focus is to concisely cover AI integration with Unmanned Aerial Vehicles (UAVs) leveraging 5G technologies and Low Power Wide Area Networks (LPWANs) for supporting intelligent, long-range, cost-effective and energy-saving data transmission across the network and seamless Agriculture 4.0 operations. Cloud computing architectures that permit centralized management of Agriculture 4.0 operations through sharing of computations, configurable networks, and servers are also studied in detail to reveal the need for edge computation as increasing number of IoT devices allows only to perform complex computations on-site. Extensive survey reveals the recent advances of 5G-enabled Agriculture 4.0 operations, future research opportunities of 5G networks including Energy Harvesting techniques for the deployment of massive to critical IoT applications, and the socio-demographic impacts of 5G networks in Agriculture 4.0 to support ubiquitous connectivity of exponentially increasing IoT devices. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Energy efficiency

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Experimental Research on a Feasible Building Insulation Material Based Reed in China

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Journal of Thermal science 2025年第1期34卷 176-187页

作者： LIU Tiantian PENG Yizhe LIU Lifang CAI Chenghan WANG Shuang LI Hongqiang College of Civil Engineering Hunan UniversityChangsha 410082China College of Civil Engineering Hunan University of Science and TechnologyXiangtan 411201China School of Energy and Power Jiangsu University of Science and TechnologyZhenjiang 212100China National Center for International Research Collaboration in Building Safety and Environment(NCIRCBSE) Hunan UniversityChangsha 410082China Key Laboratory of Building Safety and Energy Efficiency of the Ministry of Education Hunan UniversityChangsha 410082China

The seemingly useless reeds are prepared as thermal insulation materials,which not only meet the requirements of environmental sustainability but also enhance the added value of reeds,creating new economic *** hydrophobicity of raw biomass surfaces leads to problems such as weak bonding strength and non-dense structure in the formed materials,as well as issues related to the residual insect infestations on the *** this study,reed straw was used as the raw material,and foamed geopolymer was used as the binder to prepare building insulation materials based *** improve the interfacial adhesion performance between reed straw and foamed geopolymer,a thermochemical modification method-thermal carbonization,was *** this study,the mechanical properties and hydraulic properties of the studied materials with different degrees of surface thermal modification were tested,especially the fire resistance performance,and weathering resistance performance rarely found in published *** the surface thermal modification condition of reed straw was 250℃(30 min),the comprehensive performance of reed-based building insulation materials was the best,when the studied material density was 321.3 kg/m^(3);the compressive strength was 0.59 MPa;the thermal conductivity was 0.101 W/(m·K);the pH was 11.27;the moisture absorption rate was 25.1%,and the compressive strength loss rate in wet-dry cycles was 18.5%.In addition,it had excellent fire resistance performance and weathering resistance *** new material can be widely used to improve the thermal insulation of traditional buildings and as sandwich filler in prefabricated buildings,such as preparing insulating walls.

关键词： pre-treatment of reeds interface adhesion properties building insulation material based reed fire resistance performance weathering resistance performance

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iLIAC: An approach of identifying dissimilar groups on unstructured numerical image dataset using improved agglomerative clustering technique

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Multimedia Tools and Applications 2024年第39期83卷 86359-86381页

作者： S, Sreedhar Kumar Ahmed, Syed Thouheed Fathima, Afifa Salsabil Mathivanan, Sandeep Kumar Jayagopal, Prabhu Saif, Abdu Gupta, Sachin Kumar Sinha, Garima Department of Computer Science and Engineering School of Engineering and Technology CMR University Karnataka Bengaluru India Department of Electrical Engineering Indian Institute of Technology Hyderabad Telangana Kandi India School of Computer Science and Engineering REVA University Bangalore India School of Computer Science and Engineering Galgotias University Uttar Pradesh Greater Noida203201 India School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Communication and Computer Engineering Faculty of Engineering and IT Taiz University Taiz Yemen Katra India Department of Computer Science Engineering Jain University Bangalore India

Unstructured Numerical Image Dataset Separation (UNIDS) method employing an enhanced unsupervised clustering technique. The objective is to delineate an optimal number of distinct groups within the input grayscale (G-S) image content, utilizing the improved limited iteration agglomerative clustering (iLIAC) clustering technique for the separation and enhancement of picture elements. The UNIDS method is structured into two primary stages: partitioning and validation. In the partitioning stage, the UNIDS method identifies an appropriate number of discrete clusters within the grayscale image using the iLIAC technique, eliminating the need for predetermined procedures. Subsequently, the method evaluates the similarity and deviation among data elements within the same group in the resultant image dataset. Additionally, it assesses the proximity and inters severance among clusters in the outcome of the image dataset through the partitioning process. Empirical results indicate that the UNIDS system excels in the spontaneous identification of an optimal number of discrete clusters within the input G-S image. The system demonstrates superior thickness, reduced deviation among data elements within the same cluster, increased inter-separation, and diminished inter-closeness between cluster elements. Furthermore, empirical analysis establishes the superior performance of the UNIDS approach compared to existing clustering techniques. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Iterative methods

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