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IQABC-Based Hybrid Deployment Algorithm for Mobile Robotic Agents Providing Network Coverage

Tsinghua science and technology 2024年第2期29卷 589-604页

作者： Shuang Xu Xiaojie Liu Dengao Li Jumin Zhao College of Computer Science and Technology(College of Data Science) Taiyuan University of TechnologyTaiyuan 030024China Pengcheng Laboratory Shenzhen 518055China College of Information and Computer Taiyuan University of TechnologyTaiyuan 030024China

Working as aerial base stations,mobile robotic agents can be formed as a wireless robotic network to provide network services for on-ground mobile devices in a target ***,a challenging issue is how to deploy these mobile robotic agents to provide network services with good quality for more users,while considering the mobility of on-ground *** this paper,to solve this issue,we decouple the coverage problem into the vertical dimension and the horizontal dimension without any loss of optimization and introduce the network coverage model with maximum coverage ***,we propose a hybrid deployment algorithm based on the improved quick artificial bee *** algorithm is composed of a centralized deployment algorithm and a distributed *** proposed deployment algorithm deploy a given number of mobile robotic agents to provide network services for the on-ground devices that are independent and identically *** results have demonstrated that the proposed algorithm deploys agents appropriately to cover more ground area and provide better coverage uniformity.

关键词： wireless robotic networks network coverage deployment algorithm improved quick artificial bee colony

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STDNet: A Spatio-Temporal Decomposition Neural Network for Multivariate Time Series Forecasting

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Tsinghua science and technology 2024年第4期29卷 1232-1247页

作者： Zhuolun Jiang Zefei Ning Hao Miao Li Wang College of Computer Science and Technology(College of Data Science) Taiyuan University of TechnologyJinzhong 030600China

Long-term multivariate time series forecasting is an important task in engineering applications. It helps grasp the future development trend of data in real-time, which is of great significance for a wide variety of fields. Due to the non-linear and unstable characteristics of multivariate time series, the existing methods encounter difficulties in analyzing complex high-dimensional data and capturing latent relationships between multivariates in time series, thus affecting the performance of long-term prediction. In this paper, we propose a novel time series forecasting model based on multilayer perceptron that combines spatio-temporal decomposition and doubly residual stacking, namely Spatio-Temporal Decomposition Neural Network (STDNet). We decompose the originally complex and unstable time series into two parts, temporal term and spatial term. We design temporal module based on auto-correlation mechanism to discover temporal dependencies at the sub-series level, and spatial module based on convolutional neural network and self-attention mechanism to integrate multivariate information from two dimensions, global and local, respectively. Then we integrate the results obtained from the different modules to get the final forecast. Extensive experiments on four real-world datasets show that STDNet significantly outperforms other state-of-the-art methods, which provides an effective solution for long-term time series forecasting.

关键词： time series forecasting multivariate time series spatio-temporal decomposition

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Using Multi-Scale Convolution Fusion and Memory-Augmented Adversarial Autoencoder to Detect Diverse Anomalies in Multivariate Time Series

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Tsinghua science and technology 2025年第1期30卷 234-246页

作者： Zefei Ning Hao Miao Zhuolun Jiang Li Wang College of Computer Science and Technology(College of Data Science) Taiyuan University of TechnologyJinzhong 030600China

Time series anomaly detection is an important task in many applications,and deep learning based time series anomaly detection has made great ***,due to complex device interactions,time series exhibit diverse abnormal signal shapes,subtle anomalies,and imbalanced abnormal instances,which make anomaly detection in time series still a *** and analysis of multivariate time series can help uncover their intrinsic spatio-temporal characteristics,and contribute to the discovery of complex and subtle *** this paper,we propose a novel approach named Multi-scale Convolution Fusion and Memory-augmented Adversarial AutoEncoder(MCFMAAE)for multivariate time series anomaly *** is an encoder-decoder-based framework with four main ***-scale convolution fusion module fuses multi-sensor signals and captures various scales of temporal ***-attention-based encoder adopts the multi-head attention mechanism for sequence modeling to capture global context *** module is introduced to explore the internal structure of normal samples,capturing it into the latent space,and thus remembering the typical ***,the decoder is used to reconstruct the signals,and then a process is coming to calculate the anomaly ***,an additional discriminator is added to the model,which enhances the representation ability of autoencoder and avoids *** on public datasets demonstrate that MCFMAAE improves the performance compared to other state-of-the-art methods,which provides an effective solution for multivariate time series anomaly detection.

关键词： multivariate time series anomaly detection AutoEncoder(AE) multi-scale fusion

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On hierarchical clustering-based identification of PWA model with model structure selection and application to automotive actuators for HiL simulation

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Soft Computing 2025年第2期29卷 543-558页

作者： Ren, Zhenxing College of Computer Science and Technology and College of Data Science Taiyuan University of Technology Shanxi Jinzhong China

The application of the electronic control unit (ECU) motivates dynamic models with high precision to simulate mechatronic systems for various analysis and design tasks like hardware-in-the-loop (HiL) simulation. Unlike traditional physical models which are established based on the research experience or the mechanics mechanism, in this study, a novel data-driven modeling approach is presented based on the piecewise affine (PWA) identification method. In this work, the highly nonlinear dynamic of automotive actuators is well approximated by the PWA model. To obtain experimental data that can accurately reflect the characteristics of actuators, a test bench was first built. On this basis, the PWA identification of automotive is composed of the data clustering, the model structure selection, and the model parameter estimation. The proposed clustering method improves the widely used balanced iterative reducing and clustering using hierarchies (BIRCH) by introducing a refinement phase for handling clusters with arbitrary shapes. The model structure selection and the parameter estimation are jointly solved by using the optimization method. The presented method is demonstrated with an academic example and an automotive throttle, and the results show that the proposed method can achieve a high model quality, which means that the normalized root mean squared error (NRMSE) is 0.03 and the absolute maximal prediction error can reach 2.43°. Compared to other models like a physical model or a fuzzy model, the improvement using the proposed model can be up to 50%. Thus, the quality of the proposed PWA model is sufficient for HiL simulation. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Hardware-in-the-loop simulation

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Evolution of the solid-liquid interface using a novel hybrid corrosion inhibitor to improve Al-air battery performance

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Journal of Energy Chemistry 2025年第5期104卷 69-78页

作者： Peng Zhang Wei Peng Jing Miao Guohong Ren Yang Wang Yihong Li Pengju Zhang College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan 030024ShanxiChina

Aluminum-air batteries(AABs)are considered the most promising candidates in advanced clean energy conversion and storage due to their low density,high specific energy,and abundant aluminum resources;however,the development of AABs is constrained by inevitable parasitic side reactions and anodic surface passivation film *** present work introduced an innovative hybrid corrosion inhibitor consisting of potassium stannate,decyl glucoside,and 1,10-decanedithiol to regulate solid-liquid interface reactions in alkaline *** findings indicated that the optimal hybrid corrosion inhibitor could reduce the hydrogen evolution rate from 0.2095 to 0.0406 mL cm^(-2)min^(-1),achieving an inhibition efficiency of 80.62%.The surface analysis discussed in detail the evolution process of the solid-liquid interface after the introduction of the hybrid corrosion inhibitor into the *** and theoretical calculations revealed that decyl glucoside enhanced the adsorption and coverage efficiency of the hybrid corrosion inhibitor through the“micelle solubilization”effect and optimized the structure and properties of the solid-liquid *** study also contributed valuable insights into the corrosion inhibition mechanism at the solid-liquid interface of alkaline AABs.

关键词： Aluminum-air battery Al-1080 anode Self-corrosion Hybrid corrosion inhibitor Solid-liquid interface

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Thermal-field boosting continuous white light generation in lanthanide doped Y_(2)SiO_(5)phosphor

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Journal of Rare Earths 2025年第4期43卷 669-675,I0001页

作者： Qiongyao Han Jianhong Wu Yu Hou Bining Tian Xiaofeng Liu Chunli Guo Yue Tian Institute of New Carbon Materials College of Materials Science and EngineeringTaiyuan University of TechnologyTaiyuan030024China College of Electronic Information and Optical Engineering Taiyuan University of TechnologyTaiyuan030024China College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan030024China School of Materials Science and Engineering Zhejiang UniversityHangzhou310027China

The continuous white light(CWL)covering the visible and near-infrared(NIR)regions can be observed in various absorptive media excited by continuous-wave(CW)*** is valuable to stimulate more efforts in unravelling the involved photophysical processes and exploring its potential applications in diverse ***,we proved that the enhanced thermal-field can boost the CWL *** rare earth(RE)ions(Pr^(3+),Er^(3+)and Yb^(3+))as the photothermally active centers in Y_(2)SiO_(5)phosphor,we reveal that absorbing more excitation energy and isolating the heat conduction can lead to rapid thermal field accumulation inside the material,thereby significantly reducing the excitation threshold and enhancing white light *** results might have important implications for the understanding of thermally enhanced radiation and may facilitate the CWL commercial application in night vision,bioimaging,and non-destructive detection.

关键词： Continuous white light Rare earths Upconversion Thermally enhanced radiation

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Quantum correlation enhanced bound of the information exclusion principle

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Chinese Physics B 2023年第9期32卷 137-143页

作者：张钧贺衎张昊于长水 College of Data Science Taiyuan University of TechnologyTaiyuan 030024China College of Mathematics Taiyuan University of TechnologyTaiyuan 030024China College of Information and Computer Taiyuan University of TechnologyTaiyuan 030024China School of Physics Dalian University of TechnologyDalian 116024China

We investigate the information exclusion principle for multiple measurements with assistance of multiple quantum memories that are well bounded by the upper and lower *** lower bound depends on the observables'complementarity and the complementarity of uncertainty whilst the upper bound includes the complementarity of the observables,quantum discord,and quantum condition *** quantum measurement processing,there exists a relationship between the complementarity of uncertainty and the complementarity of *** addition,based on the information exclusion principle the complementarity of uncertainty and the shareability of quantum discord can exist as an essential factor to enhance the bounds of each other in the presence of quantum memory.

关键词： quantum correlation information exclusion principle entropic uncertainty relation

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Effect of annealing on the microstructure and mechanical anisotropy of Mg/Al composite plate

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Journal of Magnesium and Alloys 2024年第12期12卷 5164-5178页

作者： Jian Zhang Lifeng Ma Zhihui Cai Guanghui Zhao Weitao Jia Pengtao Liu College of Mechanical Engineering Taiyuan University of Science and TechnologyTaiyuan030024China

In this paper,the effects of recrystallization,grain growth and texture evolution on the formability and anisotropy of Mg/Al composite plates were studied by different annealing *** results show that the rolled Mg/Al composite plate exhibits obvious anisotropy and poor formability in the rolling directions(RD)and transverse directions(TD),which is the result of the synergistic effect of matrix texture and grain ***-activated recrystallization can eliminate local shear bands,hardening and other defects formed by rolling,thereby softening the structure and improving the formability of the *** occurrence of recrystallization behavior also makes the bimodal texture parallel to the TD distribution in the Mg matrix transform into the RD-TD surface dispersion distribution,which weakens the strong deformation *** Schmidt factor(SF)of each slip system is calculated to evaluate the slip system start-up probability(deformation difficulty)of the material in a certain *** results show that the average SF values of matrix slip in RD and TD directions increase after annealing treatment,which makes the slip system easier to *** tensile test results show that the formability of the composite plate is the best when the annealing temperature is 300℃.At this time,the ultimate tensile strength(UTS)and yield strength(YS)are small,the elongation(EL)is large and the anisotropy of mechanical properties is the *** addition,the annealing of the composite plate leads to the transformation of the fracture mechanism from brittle fracture to ductile-brittle mixed *** summary,annealing treatment can effectively improve the formability and weaken the anisotropy of Mg/Al composite plates.

关键词： Composite plate Anisotropy Texture Schmid factor

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Microstructure and Mechanical Properties of the Ti_(62)Nb_(12)Mo_(12)Ta_(12)W_(2)Refractory High Entropy Alloy Prepared through Spark Plasma Sintering

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Acta Metallurgica Sinica(English Letters) 2024年第8期37卷 1387-1398页

作者： Zirui Chen Liyuan Wang Jiayu Zhao Guanhua Cui Zhuo Gao Zhiyuan Fan Xiaohui Shi Junwei Qiao College of Materials Science and Engineering Taiyuan University of TechnologyTaiyuan 030024China

A refractory high entropy alloy Ti_(62)Nb_(12)Mo_(12)Ta_(12)W_(2)was prepared by mechanical alloying and spark plasma *** microstructure and mechanical properties of the Ti_(62)Nb_(12)Mo_(12)Ta_(12)W_(2)alloy were *** experimental results show that the microstructure of the alloy is composed of two BCC phases,an FCC precipitated phase,and the precipitated phase which is a mixture of TiC,TiN and *** alloy exhibits good room temperature compressive *** plasticity of the sample sintered at 1550℃can reach 10.8%,and for the sample sintered at 1600℃,the yield strength can be up to 2032 MPa,in the meantime the plasticity is 9.4%.The alloy also shows high strength at elevated *** yield strength of the alloy exceeds 420 MPa at 900℃,and value of which is still above 200 MPa when the test temperature reaches 1000℃.Finally,the compressive yield strength model at room temperature is *** prediction error of the model ranges from−7.9%to−12.4%,expressing fair performance.

关键词： Refractory high-entropy alloy(RHEA) Mechanical alloying Mechanical properties Model Spark plasma sintering

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Progress in corrosion-resistant coatings on surface of low alloy steel

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Journal of Iron and Steel Research International 2023年第2期30卷 193-215页

作者： Bao-sheng Liu Jia-li Li Wen-jie Guo Peng-fei Xu Shao-hua Zhang Yue-zhong Zhang College of Materials Science and Engineering Taiyuan University of Science and TechnologyTaiyuan030024ShanxiChina College of Chemical Engineering and Technology Taiyuan University of Science and TechnologyTaiyuan030024ShanxiChina

Low alloy steels are widely used in bridges,construction,chemical and various equipment and metal components due to their low cost and excellent mechanical *** in the literature related to the preparation,advantages and disadvantages,and applications along with research progress of various types of protective coatings suitable for low-alloy steel surfaces is reviewed,while a conclusive and comparative analysis is also afforded to the numerous factors influencing the protective ability of *** characteristics of coatings drawn from the latest published literature are discussed and suggest that the modification of traditional metal coatings and the development of new organic coatings under the consideration of environmental protection,low cost,simplicity and large-scale industrial application are simultaneously proceeding,which holds promise for improving the understanding of corrosion protection in related fields and helps to address some of the limitations identified with more conventional coating techniques.

关键词： Low alloy steel Corrosion-resistant coating Metal coating Composite coating Diffusion coating Organic coating

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