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30th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2024

作者： Pan, Shuyuan Lu, Anqi Hu, Youbing Li, Lingzhi Li, Zhijun Soochow University School of Computer Science and Technology Suzhou China Harbin Institute of Technology School of Computer Science and Technology Harbin China

ISBN: (纸本)9798331515966

The rapid growth of deep learning-based services and applications underscores the need for efficient neural network model deployment. Traditional cloud-centric solutions, despite their computational power, face significant challenges such as high energy consumption, network transmission delays, and user privacy concerns. Conversely, performing high-performance inference on resource-constrained mobile devices, especially for tasks like advertising click prediction, presents its own set of difficulties. To address these challenges, we propose a device-cloud collaboration system utilizing a difficult-case discriminator. This system classifies input samples based on semantic information into difficult and simple cases. Difficult cases are processed in the cloud using a large model, while simple cases are handled on the device by a smaller model. This approach maximizes system resources and protects user privacy. Evaluations on public datasets show that our system significantly outperforms other advertisement methods in click prediction accuracy and uploading efficiency. Compared to the device-only approach, our system improves the area under the curve (AUC) by 8.9%, and compared to the cloud-centric approach, it reduces the upload ratio by 34%. Moreover, deploying our system on a specific smartphone demonstrates substantial improvements in private real datasets. © 2024 IEEE.

关键词： click prediction device-cloud collaboration discriminator mobile device

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Interconnected microstructure and flexural behavior of Ti_(2)C-Ti composites with superior Young’s modulus

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International Journal of Minerals,Metallurgy and Materials 2024年第9期31卷 2088-2101页

作者： Fengbo Sun Rui Zhang Fanchao Meng Shuai Wang Lujun Huang Lin Geng School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China Waikato Centre for Advanced Materials and Manufacturing School of EngineeringUniversity of WaikatoHamilton 3240New Zealand State Key Laboratory of Precision Welding&Joining of Materials and Structures Harbin Institute of TechnologyHarbin 150001China

To enhance the Young’s modulus(E)and strength of titanium alloys,we designed titanium matrix composites with intercon-nected microstructure based on the Hashin-Shtrikman *** to the results,the in-situ reaction yielded an interconnected microstructure composed of Ti_(2)C particles when the Ti_(2)C content reached 50vol%.With widths of 10 and 230 nm,the intraparticle Ti lamellae in the prepared composite exhibited a bimodal size distribution due to precipitation and the unreacted Ti phase within the grown Ti_(2)C *** composites with interconnected microstructure attained superior properties,including E of 174.3 GPa and ultimate flexural strength of 1014 *** with that of pure Ti,the E of the composite was increased by 55% due to the high Ti_(2)C content and interconnected *** outstanding strength resulted from the strong interfacial bonding,load-bearing capacity of interconnected Ti_(2)C particles,and bimodal intraparticle Ti lamellae,which minimized the average crack driving *** flexural tests revealed preferential crack initiation along the{001}cleavage plane and grain boundary of Ti_(2)C in the region with the highest tensile *** addition,the propagation can be efficiently inhibited by interparticle Ti grains,which prevented the brittle fracture of the composites.

关键词： titanium matrix composites titanium carbide interface Young’s modulus flexural behavior

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The highest melting point material:Searched by Bayesian global optimization with deep potential molecular dynamics

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Journal of Advanced Ceramics 2023年第4期12卷 803-814页

作者： Yinan Wang Bo Wen Xingjian Jiao Ya Li Lei Chen Yujin Wang Fu-Zhi Dai Artificial Intelligence for Science Institute Beijing 100084China Science and Technology on Advanced Functional Composite Laboratory Aerospace Research Institute of Materials&Processing TechnologyBeijing 100076China College of Computer Science and Technology Heilongjiang Institute of TechnologyHarbin 150001China Institute for Advanced Ceramics School of Materials Science and EngineeringHarbin Institute of TechnologyHarbin 150001China Key Laboratory of Advanced Structural-Functional Integration Materials&Green Manufacturing Technology Harbin Institute of TechnologyHarbin 150001China DP Technology Bejing 100080China

The interest in refractory materials is increasing rapidly in recent decades due to the development of hypersonic ***,the substance that has the highest melting point(Tm)keeps a secret,since precise measurements in extreme conditions are overwhelmingly *** the present work,an accurate deep potential(DP)model of a Hf-Ta-C-N system was first trained,and then applied to search for the highest melting point material by molecular dynamics(MD)simulation and Bayesian global optimization(BGO).The predicted melting points agree well with the experiments and confirm that carbon site vacancies can enhance the melting point of rock-saltstructure *** solid solution with N is verified as another new and more effective melting point enhancing approach for HfC,while a conventional routing of the solid solution with Ta(e.g.,HfTa_(4)C_(5))is not suggested to result in a maximum melting *** highest melting point(~4236 K)is achieved with the composition of HfCo.638No.271,which is~80 K higher than the highest value in a Hf-C binary *** mechanism of the N addition is believed to be unstable C-N and N-N bonds in liquid phase,which reduces liquid phase entropy and renders the liquid phase less *** improved melting point and less gas generation during oxidation by the addition of N provide a new routing to modify thermal protection materials for the hypersonic vehicles.

关键词： melting point(T_(m)) carbides carbonitrides deep potential(DP) Bayesiannglobal optimization(BGO)

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Flare Forecast Model Based on DS-SMOTE and SVM with Optimized Regular Term

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Research in Astronomy and Astrophysics 2023年第6期23卷 38-46页

作者： Jie Wan Jun-Feng Fu Ren-Qing Wen Ke Han Meng-Yao Yu Peng E School of Electrical Engineering and Automation Harbin Institute of TechnologyHarbin 150001China Laboratory for Space Environment and Physical Sciences Harbin Institute of TechnologyHarbin 150001China School of Computer and Information Engineering Harbin University of CommerceHarbin 150028China

The research of flare forecast based on the machine learning algorithm is an important content of space *** order to improve the reliability of the data-driven model and weaken the impact of imbalanced data set on its forecast performance,we proposes a resampling method suitable for flare forecasting and a Particle Swarm Optimization(PSO)-based Support Vector Machine(SVM)regular term optimization *** the problem of intra-class imbalance and inter-class imbalance in flare samples,we adopt the density clustering method combined with the Synthetic Minority Over-sampling Technique(SMOTE)oversampling method,and performs the interpolation operation based on Euclidean distance on the basis of analyzing the clustering space in the minority *** the same time,for the problem that the objective function used for strong classification in SVM cannot adapt to the sample noise,In this research,on the basis of adding regularization parameters,the PSO algorithm is used to optimize the hyperparameters,which can maximize the performance of the ***,through a comprehensive comparison test,it is proved that the method designed can be well applied to the flare forecast problem,and the effectiveness of the method is proved.

关键词： Sun:flares Sun:magnetic fields Sun:X-rays gamma-rays (Sun:)sunspots

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Pushing the limits of microwave absorption capability of carbon fiber in fabric design based on genetic algorithm

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Journal of Advanced Ceramics 2023年第2期12卷 329-340页

作者： Yuhao LIU Xiaoxiao HUANG Xu YAN Long XIA Tao ZHANG Jiahao SUN Yanan LIU Yu ZHOU State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China Beijing Institute of Radio Measurement China Aerospace Science and Industry Corporation LimitedBeijing 100854China School of Materials Science and Engineering Harbin Institute of TechnologyWeihaiWeihai 264209China

The field of electromagnetic wave absorption(EWA)requires the adaptability,tenability,and multifunction of high-performance materials in the *** design and preparation of EWA materials aiming at performance requirements is the latest research ***,a performancedriven strategy for simultaneously coordinating different target performances was proposed to optimize the structure of the periodical long continuous carbon/glass fiber fabric(PCGF)materials through algorithm and *** optimized structure of the PCGF not only improves the impedance matching,but also introduces the induced orientation effect for a high cooperative loss of conductivity,resonance,and periodic *** flexible PCGF shows a broad effective absorption bandwidth(EAB)of 32.7 GHz covering a part of the C-band and the whole X-,Ku-,K-,and Ka-bands with a thickness(d)of only 0.92 mm and a density of 5.6×10^(−4) kg·cm^(−3).This highly designable fabric is promising for the EWA practical application owing to integrating the characteristics of good flexibility,acid and alkali resistance,bending resistance,excellent mechanical properties,and easy large-scale preparation.

关键词： broadband microwave absorption carbon fiber impedance matching periodical long continuous carbon/glass fiber fabric(PCGF) multiple loss mechanism

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Exoskeleton active assistance strategy for human muscle activation reduction during linear and circular walking

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Advances in Manufacturing 2024年第3期12卷 484-496页

作者： Wen-Tao Sheng Ke-Yao Liang Hai-Bin Tang School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing210094People’s Republic of China School of Mechatronics Engineering Harbin Institute of TechnologyHarbin150001People’s Republic of China

The exoskeleton is employed to assist humans in various domains including military missions,rehabilitation,industrial operation,and activities of daily living(ADLs).Walking is a fundamental ADL,and exoskeletons are capable of reducing the activation and metabolism of lower extremity muscles through active assistance during *** improve the performance of active assistance strategy,this article proposes a framework using an active hip ***,it correlates to an already established Bayesian-based human gait recognition algorithm,with a particular focus on linear and circular walking within industrial and ADL *** theorizing this strategy for exoskeletons,this study further reveals,in part,the activation characteristics of human hip muscles for the instruction and regulation of active assistance duration and onset *** proposed active assistance strategy provides new insights for enhancing the performance of assistive robots and facilitating human robot interaction within the context of ADLs.

关键词： Human-robot interaction Hip exoskeleton Muscle activation Walking assistance

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Efficient Semi-External SCC Computation (Extended Abstract) 40

Efficient Semi-External SCC Computation (Extended Abstract)

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40th IEEE International Conference on Data Engineering, ICDE 2024

作者： Wan, Xiaolong Wang, Hongzhi School of Computer Science and Technology Harbin Institute of Technology China

Computing strongly connected components (SCC) is a key operation for many applications on directed graphs. Specifically, a SCC of a directed graph G is one of its maximal subgraphs, in which any two nodes are reachabl... 详细信息

ISBN: (纸本)9798350317152

关键词： Directed graphs

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Research on temperature distribution characteristics of oilimmersed power transformers based on fluid network decoupling

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High Voltage 2024年第5期9卷 1136-1148页

作者： Yongming Xu Ziyi Xu Congrui Ren Yaodong Wang School of Electrical and Information Engineering Changzhou Institute of TechnologyChangzhouChina School of Electrical and Electronic Engineering Harbin University of Science and TechnologyHarbinChina Department of Engineering Durham UniversityDurhamUK

Due to the complex structure and large size of large-capacity oil-immersed power transformers,it is difficult to predict the winding temperature distribution directly by numerical analysis.A 180 MVA,220 kV oil-immersed self-cooling power transformer is used as the research *** authors decouple the internal fluid domain of the power transformer into four regions:high voltage windings,medium voltage windings,low voltage windings,and radiators through fluid networks and establish the 3D fluidtemperature field numerical analysis model of the four regions,*** results of the fluid network model are used as the inlet boundary conditions for the 3D fluidtemperature numerical analysis *** turn,the fluid resistance of the fluid network model is corrected according to the results of the 3D fluid-temperature field numerical analysis *** prediction of the temperature distribution of windings is realised by the coupling calculation between the fluid network model and the 3D fluid-temperature field numerical analysis *** on this,the effect of the loading method of the heat source is also investigated using the proposed *** hotspot temperatures of the high-voltage,medium-voltage,and low-voltage windings are 89.43,86.33,and 80.96°C,***,an experimental platform is built to verify the *** maximum relative error between calculated and measured values is 4.42%,which meets the engineering accuracy requirement.

关键词： winding network distribution

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Influence of liquid viscosity on the interactions between cavitation bubbles and flat liquid-liquid interfaces

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Journal of Hydrodynamics 2024年第6期36卷 1057-1072页

作者： Yang Liu Zhi-ying Zheng Zhi-bo He Tian-bao Zeng Wei-hua Cai Hong Qi School of Energy Science and Engineering Harbin Institute of TechnologyHarbin150001China School of Energy and Power Engineering Northeast Electric Power UniversityJilin132012China

This study investigates the interactions between cavitation bubbles and the interfaces of two immiscible liquids,with practical implications and potential applications in the fields such as ultrasonic emulsification and wastewater *** explore the influence of liquid viscosity on the interaction between the cavitation bubble and flat liquid-liquid interface,visualization experiments were performed on the laser-induced cavitation bubbles near two liquid-liquid interfaces composed of deionized water and two silicone oils with different viscosities(50 mPa·s,500 mPa·s)by using high-speed *** different positions were employed for the generation of cavitation bubbles,i.e.,at the interface,in the water,and in the silicone *** evolutions of cavitation bubbles and the corresponding interface deformations at different dimensionless standoff distancesγbetween the cavitation bubble and the interface were *** results show that the difference in the viscosity of silicone oil significantly affects the physical phenomena occurred during the interaction between the millimeter-scale cavitation bubble and the *** this basis,the qualitative and quantitative analyses for the cavitation bubble jet dynamics indicate that the critical value ofγfor jet penetration through the interface between the water and the higher-viscosity silicone oil(interface 2,γ=0.33)is lower than that for the interface between the water and the lower-viscosity silicone oil(interface 1,γ=0.69).Besides,the jet generated by the cavitation bubble near interface 1 possesses a higher maximum *** indicate that increased viscosity inhibits the development of the *** cavitation bubbles that initiate in the water near Interface 1 consistently migrate away from the interface and do not split,while those near interface 2 would migrate towards the interface at intermediateγand would split atγ<*** addition,the jet behaviours of cavitation bubbles near interface 2 at

关键词： Liquid-liquid interface cavitation bubble viscosity effect bubble dynamics jet dynamics

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Efficient Discovery of Functional Dependencies on Massive Data (Extended Abstract) 40

Efficient Discovery of Functional Dependencies on Massive Da...

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40th IEEE International Conference on Data Engineering, ICDE 2024

作者： Wan, Xiaolong Han, Xixian Wang, Jinbao Li, Jianzhong School of Computer Science and Technology Harbin Institute of Technology China

ISBN: (纸本)9798350317152

Functional dependencies (FDs) are the most common constraints in the design theory for relational databases, generalizing the concept of a key for a relation. Given an attribute subset X and an attribute A in relation schema, a functional dependency (FD) X → A means that the value of A is uniquely determined by the values of X. An FD X → A is minimal if A is not determined by any proper subset of X, and is nontrivial if A is not contained in X The FD discovery problem is to determine all minimal nontrivial functional dependencies over a given relation instance. © 2024 IEEE.

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