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ETS-TEE: An Energy-Efficient Task Scheduling Strategy in a Mobile Trusted Computing Environment

Tsinghua science and technology 2023年第1期28卷 105-116页

作者： Hai Wang Lu Cai Xuan Hao Jie Ren Yuhui Ma School of Information Technology Northwest UniversityXi’an 710127China School of Computer Science Shaanxi Normal UniversityXi’an 710061China

A trusted execution environment(TEE)is a system-on-chip and CPU system with a wide security solution available on today’s Arm application(APP)processors,which dominate the smartphone ***,mobile APPs create a trusted application(TA)in the TEE to process sensitive information,such as payment or message encryption,which is transparent to the APPs running in the rich execution environments(REEs).In detail,the REE and TEE interact and eventually send back the results to the APP in the REE through the interface provided by the *** an operation definitely increases the overhead of mobile *** this paper,we first present a comprehensive analysis of the performance of open-source TEE encrypted *** then propose a high energy-efficient task scheduling strategy(ETS-TEE).By leveraging the deep learning algorithm,our policy considers the complexity of TA tasks,which are dynamically scheduled between modeling on the local device and offloading to an edge *** evaluate our approach on Raspberry Pi 3B as the local mobile device and Jetson TX2 as the edge *** results show that compared with the default scheduling strategy on the local device,our approach achieves an average of 38.0%energy reduction and 1.6×*** greatly reduces the performance loss caused by mobile devices in order to protect the safe execution of applications,so that the trusted execution environment has both security and high performance.

关键词： trusted execution environment mobile system task scheduling strategy optimization of energy efficiency

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An advanced 2D/3D g-C_(3)N_(4)/TiO_(2)@MnO_(2) multifunctional membrane for sunlight-driven sustainable water purification

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Nano Research 2024年第4期17卷 2368-2380页

作者： Fan Yu Chunjia Luo xiaohan Niu Min Chao Pengfei Zhang Luke Yan Polymer Materials&Engineering Department School of Materials Science&EngineeringChang’an UniversityXi’an 710064China Key Laboratory of Road Construction Technology and Equipment MOEChang’an UniversityXi’an 710064China School of Textile Science and Engineering Xi’an Polytechnic UniversityXi’an 710064China

Graphitic carbon nitride(g-C_(3)N_(4))nanosheets have attracted widespread interest in the construction of advanced separation ***,dense stacking and a single functionality have limited the membrane ***,an advanced two-/three-dimensional(2D/3D)g-C_(3)N_(4)/TiO_(2)@MnO_(2) membrane is constructed by intercalating 3D TiO_(2)@MnO_(2) nanostructures into g-C_(3)N_(4) *** 3D flower-like nanostructures broaden the transport channels of the composite *** membrane can effectively separate five oil-in-water(O/W)emulsions,with a maximum flux of 3265.67±15.01 L·m^(-2)·h^(-1)·bar^(-1) and a maximum efficiency of 99.69%±0.45%for toluene-in-water emulsion(T/W).Meanwhile,the TiO_(2)@MnO_(2) acts as an excellent electron acceptor and provides positive spatial separation of electrons–holes(e^(-)–h^(+)).The formation of 2D/3D heterojunctions allows the material with wider light absorption and smaller bandgap(2.10 eV).These photoelectric properties give the membrane good degradation of three different pollutants,with about 100%degradation for methylene blue(MB)and malachite green(MG).The photocatalytic antibacterial efficiency of the membrane is also about 100%.After cyclic experiment,the membrane maintains its original separation and photocatalytic *** remarkable multifunctional and self-cleaning properties of the g-C_(3)N_(4) based membrane represent its potential value for complex wastewater treatment.

关键词： graphitic carbon nitride(g-C_(3)N_(4))based membrane three-dimensional(3D)nanostructures self-cleaning multifunction

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FACNet: Feature alignment fast point cloud completion network

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Computational Visual Media 2025年第1期11卷 141-157页

作者： xinxing Yu Jianyi Li Chi-Chong Wong Chi-Man Vong Yanyan Liang School of Computer Science and Engineering Faculty of Innovation EngineeringMacao University of Science and TechnologyTaipaMacaoChina Faculty of Science and Technology University of MacaoTaipaMacaoChina

Point cloud completion aims to infer complete point clouds based on partial 3D point cloud *** previous methods apply coarseto-fine strategy networks for generating complete point ***,such methods are not only relatively time-consuming but also cannot provide representative complete shape features based on partial *** this paper,a novel feature alignment fast point cloud completion network(FACNet)is proposed to directly and efficiently generate the detailed shapes of *** aligns high-dimensional feature distributions of both partial and complete point clouds to maintain global information about the complete *** its decoding process,the local features from the partial point cloud are incorporated along with the maintained global information to ensure complete and time-saving generation of the complete point *** results show that FACNet outperforms the state-of-theart on PCN,Completion3D,and MVP datasets,and achieves competitive performance on ShapeNet-55 and KITTI ***,FACNet and a simplified version,FACNet-slight,achieve a significant speedup of 3–10 times over other state-of-the-art methods.

关键词： 3D point clouds shape completion geometry processing deep learning

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Meshfree-based physics-informed neural networks for the unsteady Oseen equations

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Chinese Physics B 2023年第4期32卷 151-159页

作者：彭珂依岳靖张文李剑 School of Mathematics and Data Science Shaanxi University of Science and TechnologyXi’an 710021China School of Electrical and Control Engineering Shaanxi University of Science and TechnologyXi’an 710021China

We propose the meshfree-based physics-informed neural networks for solving the unsteady Oseen ***,based on the ideas of meshfree and small sample learning,we only randomly select a small number of spatiotemporal points to train the neural network instead of forming a ***,we optimize the neural network by minimizing the loss function to satisfy the differential operators,initial condition and boundary ***,we prove the convergence of the loss function and the convergence of the neural *** addition,the feasibility and effectiveness of the method are verified by the results of numerical experiments,and the theoretical derivation is verified by the relative error between the neural network solution and the analytical solution.

关键词： physics-informed neural networks the unsteady Oseen equation convergence small sample learning

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State space representation and phase analysis of gradient descent optimizers

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science China(Information sciences) 2023年第4期66卷 140-154页

作者： Biyuan YAO Guiqing LI Wei WU School of Computer Science and Engineering South China University of Technology School of Computer Wuhan University

Deep learning has achieved good results in the field of image recognition due to the key role of the optimizer in a deep learning network. In this work, the optimizers of dynamical system models are established,and the influence of parameter adjustments on the dynamic performance of the system is proposed. This is a useful supplement to the theoretical control models of optimizers. First, the system control model is derived based on the iterative formula of the optimizer, the optimizer model is expressed by differential equations, and the control equation of the optimizer is established. Second, based on the system control model of the optimizer, the phase trajectory process of the optimizer model and the influence of different hyperparameters on the system performance of the learning model are analyzed. Finally, controllers with different optimizers and different hyperparameters are used to classify the MNIST and CIFAR-10 datasets to verify the effects of different optimizers on the model learning performance and compare them with related methods. Experimental results show that selecting appropriate optimizers can accelerate the convergence speed of the model and improve the accuracy of model recognition. Furthermore, the convergence speed and performance of the stochastic gradient descent(SGD) optimizer are better than those of the stochastic gradient descent-momentum(SGD-M) and Nesterov accelerated gradient(NAG) optimizers.

关键词： optimizer control model phase trajectory parameter adjustment classification dynamic performance

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The regulatory effect of the asymmetrical dress style on people’s thermal comfort and heat loss

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Building Simulation 2024年第12期17卷 2311-2329页

作者： Cong Song Dongxue Zhao Yanfeng Liu Jia Li Jinyu Zhao School of Building Services Science and Engineering Xi’an University of Architecture and TechnologyXi’anShaanxi 710055China State Key Laboratory of Green Building Xi’an University of Architecture and TechnologyXi’anShaanxi 710055China

On the plateau,symmetrical(WDS)and asymmetrical(WLS)dressing habits have been developed to adapt to the extreme climate of the plateau,which is characterized by large temperature *** studies have investigated the impact of these dressing styles on the heat loss and thermal comfort of the xizang *** better characterize these impacts,models representing local heat loss of human are developed,and human heat loss experiments are conducted on the *** results showed that the WLS increased the total heat loss of the participants by a range between 7.2%and 25.7%compared to the WDS;however,WLS narrowed the range of localized heat loss and reset the distribution of heat loss *** the WLS,the localized convection and radiation heat loss reported in the right sleeve was higher than that of the WDS by a range of 3.1 to 12.5 W/m^(2)and 5.2 to 22.5 W/m^(2),***,the results of thermal neutral temperature of the participants increased by 2℃ when the WLS was *** on the distribution of heat loss to achieve localized insulation through clothing thermal regulation is an effective strategy to achieve human thermal comfort and energy savings.

关键词： local heat loss total heat loss xizang people thermal comfort asymmetrical dressing

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Diffusion characteristics of oxygenic–thermal coupled airflow in high-altitude sleeping environment

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Building Simulation 2024年第10期17卷 1749-1765页

作者： Cong Song xiaohui Li Yanfeng Liu Longxiang Gao State Key Laboratory of Green Building Xi’an University of Architecture and TechnologyXi’anShaanxi 710055China School of Building Services Science and Engineering Xi’an University of Architecture and TechnologyXi’anShaanxi 710055China

About 1/3 of human life is spent *** hypoxic and cold environment in high-altitude areas leads to sleep disorders that are more prominently harmful to the human *** improve the quality of human sleep in high-altitude areas,this study explored the thermal and oxygen environment regulation for plateau *** this study,the influencing factors of the diffusion of oxygenic–thermal coupled airflow were determined through the theoretical analysis of a thermal fluid mechanic *** study used computational fluid dynamics(CFD)to investigate the diffusion characteristics of the oxygenic–thermal coupled airflow with a sleeping experiment conducted on the *** results showed that the influence of the thermal plume at 0.1 m near the human face was larger,and the oxygenic–thermal coupled airflow diffusion process was mainly divided into three phases over *** size and time to stabilize the oxygen volume fraction in the inhalation zone varied between conditions and were strongly influenced by the temperature difference of the supply *** effects of the thermal and oxygen environment were analyzed using indicators such as facial-area speed ratio,draft risk,and personal oxygen inhalation *** optimal design strategies were recommended with an outlet air velocity of 1.5 m/s,a temperature difference of 8 K between the outlet airflow and the indoor background air,and an outlet oxygen volume fraction of 30%.The results can provide implications for regulating the thermal and oxygen environment to improve human sleep quality in high-altitude areas.

关键词： high altitudes oxygenic–thermal coupled airflow sleep environment CFD method

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Modulation of phase boundary and domain structures to engineer strain properties in BNT-based ferroelectrics

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Journal of Advanced Ceramics 2024年第7期13卷 967-975页

作者： Yule Yang Zhiyong Liu Pengrong Ren Yuqing Mao Haijun Sun Bingliang Liang Pu Mao Kun Guo Bing xie Longlong Shu School of Materials Science and Engineering Nanchang Hangkong UniversityNanchang 330063China School of Materials Science and Engineering Xi'an University of TechnologyXi’an 710048China School of Aircraft Engineering Nanchang Hangkong UniversityNanchang 330063China School of Physics and Materials Science Nanchang UniversityNanchang 330031China

Bismuth sodium titanate(BNT)ceramics exhibit outstanding strain responses but are unfavorable for application in high-sensitivity displacement actuators due to the large negative strain resulting from irreversible changes in their phase transition and domain ***,(1−x)Bi_(0.50)Na_(0.41)K_(0.09)TiO_(3)-xNaNbO_(3)(BNKT−xNN)solid solutions were prepared to improve the strain properties through the strategy of modulating the phase boundary and domain *** introduction of sodium niobate could effectively regulate the relative content of the tetragonal(P4bm)and rhombohedral(R3c)phases in the phase boundary *** ferroelectric-to-relaxor phase transition(T_(F−R))was reduced,and the ergodic relaxor(ER)state was nurtured at room *** zero-negative strain properties of S=0.41%and d_(33)^(*)=742 pm/V were achieved from the reversible transition between the ER and ferroelectric states under an applied electric field(x=0.04).Additionally,understanding the domain states via piezoelectric force microscopy(PFM)and firstorder reversal curve(FORC)revealed that the superior strain responses originated from the reversible inter-transformation of substable macrodomains and polar nanoregions(PNRs)in the phase *** study provides new insight into the interplay between the evolution of phase boundaries and domain structures and the strain properties of BNT-based ceramics.

关键词： bismuth sodium titanate(BNT) domain structure phase boundary strain response relaxor state

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When Software Security Meets Large Language Models:A Survey

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 317-334页

作者： xiaogang Zhu Wei Zhou Qing-Long Han Wanlun Ma Sheng Wen Yang xiang IEEE the School of Computer and Mathematical Sciences the University of Adelaide the School of Science Computing and Engineering Technologies Swinburne University of Technology

Software security poses substantial risks to our society because software has become part of our life. Numerous techniques have been proposed to resolve or mitigate the impact of software security issues. Among them, software testing and analysis are two of the critical methods, which significantly benefit from the advancements in deep learning technologies. Due to the successful use of deep learning in software security, recently,researchers have explored the potential of using large language models(LLMs) in this area. In this paper, we systematically review the results focusing on LLMs in software security. We analyze the topics of fuzzing, unit test, program repair, bug reproduction, data-driven bug detection, and bug triage. We deconstruct these techniques into several stages and analyze how LLMs can be used in the stages. We also discuss the future directions of using LLMs in software security, including the future directions for the existing use of LLMs and extensions from conventional deep learning research.

关键词： Large language models (LLMs) software analysis software security software testing

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Review of Sc microalloying effects in Al-Cu alloys

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 1098-1114页

作者： Shenghua Wu Chong Yang Peng Zhang Hang Xue Yihan Gao Yuqing Wang Ruihong Wang Jinyu Zhang Gang Liu Jun Sun State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China School of Materials Science and Engineering Xi’an University of TechnologyXi’an 710048China School of Aerospace Engineering North University of ChinaTaiyuan 030051China

Artificially controlling the solid-state precipitation in aluminum (Al) alloys is an efficient way to achieve well-performed properties,and the microalloying strategy is the most frequently adopted method for such a *** this paper,recent advances in lengthscale-dependent scandium (Sc) microalloying effects in Al-Cu model alloys are *** coarse-grained Al-Cu alloys,the Sc-aided Cu/Sc/vacancies complexes that act as heterogeneous nuclei and Sc segregation at the θ′-Al_(2)Cu/matrix interface that reduces interfacial energy contribute significantly to θ′*** grain size refinement to the fine/ultrafine-grained scale,the strongly bonded Cu/Sc/vacancies complexes inhibit Cu and vacancy diffusing toward grain boundaries,promoting the desired intragranular θ′*** nanocrystalline scale,the applied high strain producing high-density vacancies results in the formation of a large quantity of (Cu Sc,vacancy)-rich atomic complexes with high thermal stability,outstandingly improving the strength/ductility synergy and preventing the intractable low-temperature *** review recommends the use of microalloying technology to modify the precipitation behaviors toward better combined mechanical properties and thermal stability in Al alloys.

关键词： aluminum alloy microalloying effect length-scale dependence precipitation mechanical properties

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