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Neuromorphic Computing of Multimodal Temporal Data for Machine Fault Diagnosis:Methodology and Hardware Deployment 认领 引用
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作者 Weipeng Fan Xiang Li +3 位作者 Yaguo Lei Shupeng Yu Naipeng Li Bin Yang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1515-1517,共3页
Dear Editor,Long-term monitoring of different mechanical signals is vital for the health management of modern industrial equipment.Traditional deep learning-based fault diagnosis methods rely much on high-performance ... Dear Editor,Long-term monitoring of different mechanical signals is vital for the health management of modern industrial equipment.Traditional deep learning-based fault diagnosis methods rely much on high-performance computing systems and are difficult to be always-on deployed at the edge.Meanwhile,most of the existing fault diagnosis methods rely on single-sourced sensing data,which only capture limited fault information and cannot well reflect the machine health condition.To address the aforementioned problems,the bio-inspired spiking neural networks(SNNs)offer a promising solution,which simulates the structure and operation of biological neural systems and is more energy and computation-efficient. 展开更多
关键词 computation efficiency fault diagnosis energy efficiency mechanical signals bio inspired spiking neural networks health management multimodal temporal data machine fault diagnosis
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A novel virtual machine deployment algorithm with energy efficiency in cloud computing 认领 引用 被引量：13
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作者 周舟 胡志刚 +1 位作者 宋铁 于俊洋 《Journal of Central South University》 SCIE EI CAS CSCD 2015年第3期974-983,共10页
In order to improve the energy efficiency of large-scale data centers, a virtual machine(VM) deployment algorithm called three-threshold energy saving algorithm(TESA), which is based on the linear relation between the... In order to improve the energy efficiency of large-scale data centers, a virtual machine(VM) deployment algorithm called three-threshold energy saving algorithm(TESA), which is based on the linear relation between the energy consumption and(processor) resource utilization, is proposed. In TESA, according to load, hosts in data centers are divided into four classes, that is,host with light load, host with proper load, host with middle load and host with heavy load. By defining TESA, VMs on lightly loaded host or VMs on heavily loaded host are migrated to another host with proper load; VMs on properly loaded host or VMs on middling loaded host are kept constant. Then, based on the TESA, five kinds of VM selection policies(minimization of migrations policy based on TESA(MIMT), maximization of migrations policy based on TESA(MAMT), highest potential growth policy based on TESA(HPGT), lowest potential growth policy based on TESA(LPGT) and random choice policy based on TESA(RCT)) are presented, and MIMT is chosen as the representative policy through experimental comparison. Finally, five research directions are put forward on future energy management. The results of simulation indicate that, as compared with single threshold(ST) algorithm and minimization of migrations(MM) algorithm, MIMT significantly improves the energy efficiency in data centers. 展开更多
关键词 cloud computing energy efficiency three-threshold virtual machine（VM） selection policy energy management
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Secure Computation Efficiency Resource Allocation for Massive MIMO-Enabled Mobile Edge Computing Networks 认领 引用 被引量：2
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作者 Sun Gangcan Sun Jiwei +3 位作者 Hao Wanming Zhu Zhengyu Ji Xiang Zhou Yiqing 《China Communications》 SCIE CSCD 2024年第11期150-162,共13页
In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)network.We first derive the secure transmission rate based ... In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)network.We first derive the secure transmission rate based on the mMIMO under imperfect channel state information.Based on this,the SCE maximization problem is formulated by jointly optimizing the local computation frequency,the offloading time,the downloading time,the users and the base station transmit power.Due to its difficulty to directly solve the formulated problem,we first transform the fractional objective function into the subtractive form one via the dinkelbach method.Next,the original problem is transformed into a convex one by applying the successive convex approximation technique,and an iteration algorithm is proposed to obtain the solutions.Finally,the stimulations are conducted to show that the performance of the proposed schemes is superior to that of the other schemes. 展开更多
关键词 eavesdropping massive multiple input multiple output mobile edge computing partial offloading secure computation efficiency
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A Storm Surge Numerical Model Based on an Improved Local Time-Stepping Method for Hydrodynamic Simulation 认领 引用
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作者 LIU Gui-lin ZHU Peng-yu +2 位作者 SONG Shi-chun YU Pu-bing JI Tao 《China Ocean Engineering》 SCIE EI CSCD 2026年第1期194-206,共13页
This study developed a two-dimensional storm surge model for hydrodynamic simulations in port engineering,utilizing an improved Local Time-Stepping(LTS)scheme.The model implements unstructured triangular grids with lo... This study developed a two-dimensional storm surge model for hydrodynamic simulations in port engineering,utilizing an improved Local Time-Stepping(LTS)scheme.The model implements unstructured triangular grids with localized refinement within the engineering area,enhancing computational efficiency through the improved LTS algorithm.Implementation in a Qingdao port demonstrated that,compared with the conventional Global Time-Stepping(GTS)scheme,the LTS approach enhanced computational efficiency by 5.08 times and 3.30 times before and after construction,respectively,reducing computation time by 30−40 hours.Validation results confirm the model’s high accuracy under both astronomical tide and storm surge conditions.Simulations of storm surges during Severe Typhoon Muifa(1109)and Super Typhoon Lekima(2019)further validated the model’s effectiveness.The results indicated that the overall simulation trend of storm surge aligned closely with the observed patterns of water level fluctuations,yielding highly satisfactory results.The Root Mean Square Error(RMSE)for Typhoon Lekima was 0.0083 m,while for Typhoon Muifa it was 0.0059 m,further demonstrating the model’s accuracy and applicability.The study analyzed the storm surge flow field post-construction using Typhoon Lekima as a case study.This research demonstrates the LTS model’s significant potential and promising applications in storm surge simulations and marine port construction. 展开更多
关键词 LTS shallow water modeling tides storm surge computational efficiency port engineering
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An iterative regularized inversion method of fracture width and height using cross-well optical fiber strain 认领 引用
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作者 CHEN Ming WANG Ziang +2 位作者 GUO Tiankui LIU Yongzan CHEN Zuorong 《Petroleum Exploration and Development》 SCIE 2026年第1期235-248,共14页
The forward model of optical fiber strain induced by fractures,together with the associated model resolution matrix,is used to demonstrate the interpretability of fracture parameters once the fracture intersects the f... The forward model of optical fiber strain induced by fractures,together with the associated model resolution matrix,is used to demonstrate the interpretability of fracture parameters once the fracture intersects the fiber.A regularized inversion framework for fracture parameters is established to evaluate the influence of measured data quality on the accuracy of iterative regularized inversion.An interpretation approach for both fracture width and height is proposed,and the synthetic forward data with measurement error and field examples are employed to validate the accuracy of the simultaneous inversion of fracture width and height.The results indicate that,after the fracture contacts the fiber,the strain response is strongly sensitive only to the fracture parameters at the intersection location,whereas the interpretability of parameters at other locations remains limited.The iterative regularized inversion method effectively suppresses the impact of measurement error and exhibits high computational efficiency,showing clear advantages for inversion applications.When incorporating the first-order regularization with a Neumann boundary constraint on the tip width,the inverted fracture-width distribution becomes highly sensitive to fracture height;thus,combined with a bisection strategy,simultaneous inversion of fracture width and height can be achieved.Examination using the model resolution matrix,noisy synthetic data,and field data confirms that the iterative regularized inversion model for fracture width and height provides high interpretive accuracy and can be applied to the calculation and analysis of fracture width,fracture height,net pressure and other parameters. 展开更多
关键词 optical fiber strain fracture diagnosis forward model model resolution iterative regularized inversion computational efficiency fracture parameter interpretation
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SparseMoE-MFN:A Sparse Attention and Mixture-of-Experts Framework for Multimodal Fake News Detection on Social Media 认领 引用
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作者 Yuechuan Zhang Mingshu Zhang +2 位作者 Bin Wei Hongyu Jin Yaxuan Wang 《Computers, Materials & Continua》 SCIE EI 2026年第5期1646-1669,共24页
Detecting fake news in multimodal and multilingual social media environments is challenging due to inherent noise,inter-modal imbalance,computational bottlenecks,and semantic ambiguity.To address these issues,we propo... Detecting fake news in multimodal and multilingual social media environments is challenging due to inherent noise,inter-modal imbalance,computational bottlenecks,and semantic ambiguity.To address these issues,we propose SparseMoE-MFN,a novel unified framework that integrates sparse attention with a sparse-activated Mixture of-Experts(MoE)architecture.This framework aims to enhance the efficiency,inferential depth,and interpretability of multimodal fake news detection.Sparse MoE-MFN leverages LLaVA-v1.6-Mistral-7B-HF for efficient visual encoding and Qwen/Qwen2-7B for text processing.The sparse attention module adaptively filters irrelevant tokens and focuses on key regions,reducing computational costs and noise.The sparse MoE module dynamically routes inputs to specialized experts(visual,language,cross-modal alignment)based on content heterogeneity.This expert specialization design boosts computational efficiency and semantic adaptability,enabling precise processing of complex content and improving performance on ambiguous categories.Evaluated on the large-scale,multilingualMR2 dataset,SparseMoEMFN achieves state-of-the-art performance.It obtains an accuracy of 86.7%and a macro-averaged F1 score of 0.859,outperforming strong baselines like MiniGPT-4 by 3.4%and 3.2%,respectively.Notably,it shows significant advantages in the“unverified”category.Furthermore,SparseMoE-MFN demonstrates superior computational efficiency,with an average inference latency of 89.1 ms and 95.4 GFLOPs,substantially lower than existing models.Ablation studies and visualization analyses confirm the effectiveness of both sparse attention and sparse MoE components in improving accuracy,generalization,and efficiency. 展开更多
关键词 Fake news detection multimodal sparse attention mixture-of-experts interpretability computational efficiency
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Mixed-Mode Fracture in Orthotropic FGMs:A Phase-Field Approach with Exponential Finite Elements 认领 引用
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作者 P.C.Sidharth B.N.Rao 《Acta Mechanica Solida Sinica》 SCIE EI CSCD 2026年第5期624-634,共11页
Modeling fracture in orthotropic functionally graded materials(FGMs)presents numerous challenges due to their complex material behavior,which varies spatially and directionally.Furthermore,the continuous gradient in t... Modeling fracture in orthotropic functionally graded materials(FGMs)presents numerous challenges due to their complex material behavior,which varies spatially and directionally.Furthermore,the continuous gradient in the material composition poses difficulties in accurately capturing fracture behavior,necessitating advanced numerical techniques in the purview of finite element analysis.Through the implementation of exponential finite element(EFE)shape functions in the phase-field model,this study aims to improve the accuracy of fracture prediction in orthotropic FGMs under mixed mode loading cases.An example in shear loading case is presented for the first time.The methodology is evaluated in different orthotropy angles,material gradation directions,and gradation types to analyze their influence on fracture behavior in orthotropic FGMs.Comparisons between EFE and linear finite element reveal that EFE consistently reduces error in peak load predictions,with significant improvements while incurring only a marginal increase in computational cost. 展开更多
关键词 FGM Fracture Orthotropic EFE shape functions Phase-field Crack Computational efficiency
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Multi-resolution nonlinear topology optimization with enhanced computational efficiency and convergence 认领 引用 被引量：13
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作者 Zijie Chen Guilin Wen +2 位作者 Hongxin Wang Liang Xue Jie Liu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2022年第2期93-109,I0003,共17页
Huge calculation burden and difficulty in convergence are the two central conundrums of nonlinear topology optimization(NTO).To this end,a multi-resolution nonlinear topology optimization(MR-NTO)method is proposed bas... Huge calculation burden and difficulty in convergence are the two central conundrums of nonlinear topology optimization(NTO).To this end,a multi-resolution nonlinear topology optimization(MR-NTO)method is proposed based on the multiresolution design strategy(MRDS)and the additive hyperelasticity technique(AHT),taking into account the geometric nonlinearity and material nonlinearity.The MR-NTO strategy is established in the framework of the solid isotropic material with penalization(SIMP)method,while the Neo-Hookean hyperelastic material model characterizes the material nonlinearity.The coarse analysis grid is employed for finite element(FE)calculation,and the fine material grid is applied to describe the material configuration.To alleviate the convergence problem and reduce sensitivity calculation complexity,the software ANSYS coupled with AHT is utilized to perform the nonlinear FE calculation.A strategy for redistributing strain energy is proposed during the sensitivity analysis,i.e.,transforming the strain energy of the analysis element into that of the material element,including Neo-Hooken and second-order Yeoh material.Numerical examples highlight three distinct advantages of the proposed method,i.e.,it can(1)significantly improve the computational efficiency,(2)make up for the shortcoming that NTO based on AHT may have difficulty in convergence when solving the NTO problem,especially for 3D problems,(3)successfully cope with high-resolution 3D complex NTO problems on a personal computer. 展开更多
关键词 Nonlinear topology optimization Multi-resolution design,Additive hyperelasticity technique Computational efficiency Convergence
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Efficiency analysis of numerical integrations for finite element substructure in real-time hybrid simulation 认领 引用 被引量：6
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作者 Wang Jinting Lu Liqiao Zhu Fei 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2018年第1期73-86,共14页
Finite element（FE） is a powerful tool and has been applied by investigators to real-time hybrid simulations（RTHSs）. This study focuses on the computational efficiency, including the computational time and accuracy... Finite element（FE） is a powerful tool and has been applied by investigators to real-time hybrid simulations（RTHSs）. This study focuses on the computational efficiency, including the computational time and accuracy, of numerical integrations in solving FE numerical substructure in RTHSs. First, sparse matrix storage schemes are adopted to decrease the computational time of FE numerical substructure. In this way, the task execution time（TET） decreases such that the scale of the numerical substructure model increases. Subsequently, several commonly used explicit numerical integration algorithms, including the central difference method（CDM）, the Newmark explicit method, the Chang method and the Gui-λ method, are comprehensively compared to evaluate their computational time in solving FE numerical substructure. CDM is better than the other explicit integration algorithms when the damping matrix is diagonal, while the Gui-λ（λ = 4） method is advantageous when the damping matrix is non-diagonal. Finally, the effect of time delay on the computational accuracy of RTHSs is investigated by simulating structure-foundation systems. Simulation results show that the influences of time delay on the displacement response become obvious with the mass ratio increasing, and delay compensation methods may reduce the relative error of the displacement peak value to less than 5% even under the large time-step and large time delay. 展开更多
关键词 real-time hybrid simulation computational efficiency numerical integration storage optimization time delay
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Attribute-Based Access Control Scheme with Efficient Revocation in Cloud Computing 认领 引用 被引量：7
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作者 Zhihua Xia Liangao Zhang Dandan Liu 《China Communications》 SCIE CSCD 2016年第7期92-99,共8页
Attribute-based encryption(ABE) supports the fine-grained sharing of encrypted data.In some common designs,attributes are managed by an attribute authority that is supposed to be fully trustworthy.This concept implies... Attribute-based encryption(ABE) supports the fine-grained sharing of encrypted data.In some common designs,attributes are managed by an attribute authority that is supposed to be fully trustworthy.This concept implies that the attribute authority can access all encrypted data,which is known as the key escrow problem.In addition,because all access privileges are defined over a single attribute universe and attributes are shared among multiple data users,the revocation of users is inefficient for the existing ABE scheme.In this paper,we propose a novel scheme that solves the key escrow problem and supports efficient user revocation.First,an access controller is introduced into the existing scheme,and then,secret keys are generated corporately by the attribute authority and access controller.Second,an efficient user revocation mechanism is achieved using a version key that supports forward and backward security.The analysis proves that our scheme is secure and efficient in user authorization and revocation. 展开更多
关键词 access control ABE efficient revocation removing escrow cloud computing
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An improvement to computational efficiency of the drain current model for double-gate MOSFET 认领 引用
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作者 周幸叶 张健 +5 位作者 周致赜 张立宁 马晨月 吴文 赵巍 张兴 《Chinese Physics B》 SCIE EI CAS CSCD 2011年第9期392-395,共4页
As a connection between the process and the circuit design, the device model is greatly desired for emerging devices, such as the double-gate MOSFET. Time efficiency is one of the most important requirements for devic... As a connection between the process and the circuit design, the device model is greatly desired for emerging devices, such as the double-gate MOSFET. Time efficiency is one of the most important requirements for device modeling. In this paper, an improvement to the computational efficiency of the drain current model for double-gate MOSFETs is extended, and different calculation methods are compared and discussed. The results show that the calculation speed of the improved model is substantially enhanced. A two-dimensional device simulation is performed to verify the improved model. Furthermore, the model is implemented into the HSPICE circuit simulator in Verilog-A for practical application. 展开更多
关键词 computational efficiency compact model double-gate MOSFET
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Mobile-agent-based energy-efficient scheduling with dynamic channel acquisition in mobile cloud computing 认领 引用
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作者 Xing Liu Chaowei Yuan +1 位作者 Zhen Yang Zengping Zhang 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2016年第3期712-720,共9页
Mobile cloud computing（MCC） combines mobile Internet and cloud computing to improve the performance of mobile applications. However, MCC faces the problem of energy efficiency because of randomly varying channels. A... Mobile cloud computing（MCC） combines mobile Internet and cloud computing to improve the performance of mobile applications. However, MCC faces the problem of energy efficiency because of randomly varying channels. A scheduling algorithm is proposed by introducing the Lyapunov optimization, which can dynamically choose users to transmit data based on queue backlog and channel statistics. The Lyapunov analysis shows that the proposed scheduling algorithm can make a tradeoff between queue backlog and energy consumption in the channel-aware mobile cloud computing system. The simulation results verify the effectiveness of the proposed algorithm. 展开更多
关键词 mobile cloud computing mobile Internet queueing energy efficiency Lyapunov optimization
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AN EFFICIENT FINITE-DIFFERENCE ALGORITHM FOR COMPUTING AXISYMMETRIC TRANSONIC NACELLE FLOW FIELDS 认领 引用
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作者 Huang MingkeNanjing Aeronautical Institute 《Chinese Journal of Aeronautics》 EI CAS 1990年第4期225-232,共8页
A finite difference method for computing the axisymmetric, transonic flows over a nacelle is presented in this paper. By use of the conservative full-potential equation, body-fitted grid, and the exact boundary condit... A finite difference method for computing the axisymmetric, transonic flows over a nacelle is presented in this paper. By use of the conservative full-potential equation, body-fitted grid, and the exact boundary conditions, a new AF scheme is constructed according to the criterion of optimum convergence. The proposed scheme has been applied to transonic nacelle flow problems. Computation for several nacelles shows the rapid convergence of this scheme and excellent agreement with the experimental results. 展开更多
关键词 AN EFFICIENT FINITE-DIFFERENCE ALGORITHM FOR COMPUTING AXISYMMETRIC TRANSONIC NACELLE FLOW FIELDS
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Highly efficient contact detection strategy of 3D discontinuous deformation analysis in continuous-discontinuous simulation 认领 引用 被引量：1
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作者 Jingyu Kang Xiaodong Fu +5 位作者 Qian Sheng Xing Wang Haifeng Ding Xuehan Zhao Tian Xi Shangwei Jiang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第11期6977-6992,共16页
Contact detection is the most time-consuming stage in 3D discontinuous deformation analysis(3D-DDA)computation.Improving the efficiency of 3D-DDA is beneficial for its application in large-scale computing.In this stud... Contact detection is the most time-consuming stage in 3D discontinuous deformation analysis(3D-DDA)computation.Improving the efficiency of 3D-DDA is beneficial for its application in large-scale computing.In this study,aiming at the continuous-discontinuous simulation of 3D-DDA,a highly efficient contact detection strategy is proposed.Firstly,the global direct search(GDS)method is integrated into the 3D-DDA framework to address intricate contact scenarios.Subsequently,all geometric elements,including blocks,faces,edges,and vertices are divided into searchable and unsearchable parts.Contacts between unsearchable geometric elements would be directly inherited,while only searchable geometric elements are involved in contact detection.This strategy significantly reduces the number of geometric elements involved in contact detection,thereby markedly enhancing the computation efficiency.Several examples are adopted to demonstrate the accuracy and efficiency of the improved 3D-DDA method.The rock pillars with different mesh sizes are simulated under self-weight.The deformation and stress are consistent with the analytical results,and the smaller the mesh size,the higher the accuracy.The maximum speedup ratio is 38.46 for this case.Furthermore,the Brazilian splitting test on the discs with different flaws is conducted.The results show that the failure pattern of the samples is consistent with the results obtained by other methods and experiments,and the maximum speedup ratio is 266.73.Finally,a large-scale impact test is performed,and approximately 3.2 times enhanced efficiency is obtained.The proposed contact detection strategy significantly improves efficiency when the rock has not completely failed,which is more suitable for continuous-discontinuous simulation. 展开更多
关键词 3D discontinuous deformation analysis Contact detection Computation efficiency Continuous-discontinuous simulation Fracture
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Numerical Simulation of Storm Surges Based on the Local Time-Stepping Algorithm 认领 引用
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作者 LIU Guilin JI Tao +2 位作者 SUN Yinghao YU Pubing SONG Shichun 《Journal of Ocean University of China》 SCIE CAS CSCD 2025年第3期583-591,共9页
The local time-stepping(LTS)algorithm is an adaptive method that adjusts the time step by selecting suitable intervals for different regions based on the spatial scale of each cell and water depth and flow velocity be... The local time-stepping(LTS)algorithm is an adaptive method that adjusts the time step by selecting suitable intervals for different regions based on the spatial scale of each cell and water depth and flow velocity between cells.The method can be optimized by calculating the maximum power of two of the global time step increments in the domain,allowing the optimal time step to be approached throughout the grid.To verify the acceleration and accuracy of LTS in storm surge simulations,we developed a model to simulate astronomical storm surges along the southern coast of China.This model employs the shallow water equations as governing equations,numerical discretization using the finite volume method,and fluxes calculated by the Roe solver.By comparing the simulation results of the traditional global time-stepping algorithm with those of the LTS algorithm,we find that the latter fit the measured data better.Taking the calculation results of Typhoon Sally in 1996 as an example,we show that compared with the traditional global time-stepping algorithm,the LTS algorithm reduces computation time by 2.05 h and increases computation efficiency by 2.64 times while maintaining good accuracy. 展开更多
关键词 local time-stepping storm surge numerical simulation computational efficiency
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Testing independence in Hilbert spaces using random projection 认领 引用
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作者 HU Zhi-ming JIANG Tao XU Jin-feng 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2025年第3期666-686,共21页
As data becomes increasingly complex,measuring dependence among variables is of great interest.However,most existing measures of dependence are limited to the Euclidean setting and cannot effectively characterize the ... As data becomes increasingly complex,measuring dependence among variables is of great interest.However,most existing measures of dependence are limited to the Euclidean setting and cannot effectively characterize the complex relationships.In this paper,we propose a novel method for constructing independence tests for random elements in Hilbert spaces,which includes functional data as a special case.Our approach is using distance covariance of random projections to build a test statistic that is computationally efficient and exhibits strong power performance.We prove the equivalence between testing for independence expressed on the original and the projected covariates,bridging the gap between measures of testing independence in Euclidean spaces and Hilbert spaces.Implementation of the test involves calibration by permutation and combining several p-values from different projections using the false discovery rate method.Simulation studies and real data examples illustrate the finite sample properties of the proposed method under a variety of scenarios. 展开更多
关键词 computational efficiency distance covariance false discovery rate functional data Hilbert space permutation calibration random projection
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PRCA: A highly efficient computing architecture 认领 引用
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作者 Luo Xingguo 《Engineering Sciences》 2014年第4期38-47,共10页
Applications can only reach 8 %~15 % of utilization on modern computer systems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and... Applications can only reach 8 %~15 % of utilization on modern computer systems. There are many obstacles to improving system efficiency. The key root is the conflict between the fixed general computer architecture and the variable requirements of applications. Proactive reconfigurable computing architecture(PRCA) is proposed to improve computing efficiency. PRCA dynamically constructs an efficient computing architecture for a specific application via reconfigurable technology by perceiving requirements,workload and utilization of computing resources. Proactive decision support system(PDSS),hybrid reconfigurable computing array(HRCA) and reconfigurable interconnect(RIC) are intensively researched as the key technologies. The principles of PRCA have been verified with four applications on a test bed. It is shown that PRCA is feasible and highly efficient. 展开更多
关键词 PRCA efficient computing challenges
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Erratum 认领 引用
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《Journal of Automation and Intelligence》 CSCD 2025年第2期160-161,共2页
Declaration of Competing Interest statements were not included in the published version of the following articles that appeared in previous issues of Journal of Automation and Intelligence.The appropriate Declaration ... Declaration of Competing Interest statements were not included in the published version of the following articles that appeared in previous issues of Journal of Automation and Intelligence.The appropriate Declaration of Competing Interest statements,provided by the Authors,are included below.1.“A survey on computationally efficient neural architecture search”[Journal of Automation and Intelligence,1(2022)100002].10.1016/j.jai.2022.100002。 展开更多
关键词 declaration competing interest statements competing interest computationally efficient neural architecture search journal declaration journal automation intelligence declaration competing interest statementsprovided computing efficiency neural architecture search
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Phase-Level Analysis and Forecasting of System Resources in Edge Device Cryptographic Algorithms 认领 引用 被引量：1
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作者 Ehan Sohn Sangmyung Lee +3 位作者 Sunggon Kim Kiwook Sohn Manish Kumar Yongseok Son 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第11期2761-2785,共25页
With the accelerated growth of the Internet of Things(IoT),real-time data processing on edge devices is increasingly important for reducing overhead and enhancing security by keeping sensitive data local.Since these d... With the accelerated growth of the Internet of Things(IoT),real-time data processing on edge devices is increasingly important for reducing overhead and enhancing security by keeping sensitive data local.Since these devices often handle personal information under limited resources,cryptographic algorithms must be executed efficiently.Their computational characteristics strongly affect system performance,making it necessary to analyze resource impact and predict usage under diverse configurations.In this paper,we analyze the phase-level resource usage of AES variants,ChaCha20,ECC,and RSA on an edge device and develop a prediction model.We apply these algorithms under varying parallelism levels and execution strategies across key generation,encryption,and decryption phases.Based on the analysis,we train a unified Random Forest model using execution context and temporal features,achieving R2 values up to 0.994 for power and 0.988 for temperature.Furthermore,the model maintains practical predictive performance even for cryptographic algorithms not included during training,demonstrating its ability to generalize across distinct computational characteristics.Our proposed approach reveals how execution characteristics and resource usage interacts,supporting proactive resource planning and efficient deployment of cryptographic workloads on edge devices.As our approach is grounded in phase-level computational characteristics rather than in any single algorithm,it provides generalizable insights that can be extended to a broader range of cryptographic algorithms that exhibit comparable phase-level execution patterns and to heterogeneous edge architectures. 展开更多
关键词 Internet of Things(IoT) cryptography power efficient computing performance modeling
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Ambient-Stable Polymeric Nitrogen Achieved through Multi-Stage Computational Design 认领 引用
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作者 Jiani Lin Jianfu Li +2 位作者 Yong Liu Jianan Yuan Xiaoli Wang 《Chinese Physics Letters》 SCIE EI CAS CSCD 2025年第7期298-309,共12页
The four-decade quest for synthesizing ambient-stable polymeric nitrogen,a promising high-energy-density material,remains an unsolved challenge in materials science.We develop a multi-stage computational strategy empl... The four-decade quest for synthesizing ambient-stable polymeric nitrogen,a promising high-energy-density material,remains an unsolved challenge in materials science.We develop a multi-stage computational strategy employing density functional tight-binding-based rapid screening combined with density functional theory refinement and global structure searching,effectively bridging computational efficiency with quantum accuracy.This integrated approach identifies four novel polymeric nitrogen phases(Fddd,P3221,I4m2,andP6522)that are thermodynamically stable at ambient pressure.Remarkably,the helical6522 configuration demonstrates exceptional thermal resilience up to 1500 K,representing a predicted polymeric nitrogen structure that maintains stability under both atmospheric pressure and high-temperature extremes.Our methodology establishes a paradigm-shifting framework for the accelerated discovery of metastable energetic materials,resolving critical bottlenecks in theoretical predictions while providing experimentally actionable targets for polymeric nitrogen synthesis. 展开更多
关键词 ambient stable polymeric nitrogen polymeric nitrogen density functional tight binding density functional theory density functional theory refinement global structure searching global structure searchingeffectively bridging computational efficiency quantum accuracythis
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