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arXiv 2025年

作者： Zhang, Xiaoqing Shi, Hanfeng Li, Xiangyu Ye, Haili Xu, Tao Li, Na Hu, Yan Lv, Fan Chen, Jiangfan Liu, Jiang Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Research Institute of Trustworthy Autonomous Systems Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Ophthalmology Optometry and Vision Science Wenzhou Medical University Wenzhou China Centre for Computational Science and Mathematical Modelling Coventry University Coventry United Kingdom School of Computer Science University of Nottingham Ningbo China Ningbo315100 China School of Ophthalmology and Optometry Wenzhou Medical University Wenzhou325035 China Department of Electronic and Information Engineering Changchun University Changchun130022 China

Parkinson’s disease (PD) is a prevalent neurodegenerative disorder globally. The eye’s retina is an extension of the brain and has great potential in PD screening. Recent studies have suggested that texture features extracted from retinal layers can be adopted as biomarkers for PD diagnosis under optical coherence tomography (OCT) images. Frequency domain learning techniques can enhance the feature representations of deep neural networks (DNNs) by decomposing frequency components involving rich texture features. Additionally, previous works have not exploited texture features for automated PD screening in OCT. Motivated by the above analysis, we propose a novel Adaptive Wavelet Filter (AWF) that serves as the Practical Texture Feature Amplifier to fully leverage the merits of texture features to boost the PD screening performance of DNNs with the aid of frequency domain learning. Specifically, AWF first enhances texture feature representation diversities via channel mixer, then emphasizes informative texture feature representations with the well-designed adaptive wavelet filtering token mixer. By combining the AWFs with the DNN stem, AWFNet is constructed for automated PD screening. Additionally, we introduce a novel Balanced Confidence (BC) Loss by mining the potential of sample-wise predicted probabilities of all classes and class frequency prior, to further boost the PD screening performance and trustworthiness of AWFNet. The extensive experiments manifest the superiority of our AWFNet and BC over state-of-the-art methods in terms of PD screening performance and trustworthiness. © 2025, CC BY-NC-SA.

关键词： Neurodegenerative diseases

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The Experimental Campus WLAN Roaming System and WiMAX Integration in Taiwan

The Experimental Campus WLAN Roaming System and WiMAX Integr...

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14th Asia-Pacific Conference on Communications

作者： Huang, Wei-Hung Tang, Ko-Chung Tsai, Zsehong Network Technology Division National Center for High-Performance Computing Taiwan Graduate Institute of Comm. Engineering National Taiwan University Taiwan

ISBN: (纸本)9784885522321

WLAN have emerged as a promising network platform and extended network connectivity in recent years. Hotspots are increasing rapidly in coffee shops, airports, restaurants and some public areas. In Taiwan, over 90% of colleges and universities have established their campus WLAN environment and 72% of them have joined the experimental campus WLAN roaming system. This paper describes how we have established such a WLAN roaming system. Relying on the RADIUS based authentication environment, a campus WLAN user can enjoy WLAN roaming service via web portal or 802.1x based AAA system. Newly developed applications such as voice/video service can be tested on this system. This paper will also introduce how this system integrated with WiMAX and deliver the inter-working capability.

关键词： AAA Roaming WLAN WiMAX

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CHARACTERISTICS-BASED METHODS APPLIED TO INFINITE PRANDTL NUMBER THERMAL-CONVECTION IN THE HARD TURBULENT REGIME

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PHYSICS OF FLUIDS A-FLUID DYNAMICS 1991年第9期3卷 2105-2115页

作者： MALEVSKY, AV YUEN, DA Minnesota Supercomputer Institute Army High Performance Computing and Research Center Department of Geology and Geophysics University of Minnesota Minneapolis Minnesota 55455

The use of characteristics-based methods for the advection-dominated regimes in thermal convection is investigated. An operator-splitting method applied to the advection-diffusion equation for the very large Peclet (Pe) number regime is presented. In this approach two partial differential equations representing both the purely hyperbolic and the parabolic components must be solved simultaneously. This method has been compared with (1) the Galerkin approximation, (2) the streamwise upwinding Petrov-Galerkin method, and (3) the characteristics-based method using the Lagrangian formulation for the time-derivative operator of the advection-diffusion equation. Solution accuracy of the operator-splitting method improves with larger Pe, while the accuracy of other methods deteriorates with Pe. For the nonlinear problem of two-dimensional thermal convection the Lagrangian method is found to be most computationally efficient. With this Lagrangian method, time-dependent, thermal convection solutions of extremely high Rayleigh number (Ra), up to 3 X 10(9), for infinite Prandtl number are obtained. For an aspect ratio of 1.8 the exponent in the scaling of the Nusselt number (Nu) with Ra in time-dependent convection is determined to be 0.301 in the hard turbulent regime and is smaller than in the soft turbulent regime. The behavior of this exponent as a consequence of the transition to hard turbulence agrees with experimental findings. Horizontal Fourier spectra of the thermal fields outside the boundary layers reveal a transition in the high wave-number domain from 1/k to 1/k2 in the transition from soft to hard turbulent regimes. Analysis of the kinetic energy spectra E(k) shows an asymptotic decay of E(k) close to K-2, for large k, spanning over two decades in wave number for strongly time-dependent convection.

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A multi-agent model for adaptive vaccination during infectious disease outbreaks

A multi-agent model for adaptive vaccination during infectio...

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2016 International Conference on computing Technologies and Intelligent Data Engineering, ICCTIDE 2016

作者： Ponnambalam, Loganathan Xiuju, Fu Goh, Rick Siow Mong Sarawgi, Disha Institute of High Performance Computing ASTAR Singapore Singapore Indian Institute of Technology Kharagpur Kharagpur India

ISBN: (纸本)9781467384377

Infectious disease outbreaks are a huge burden on healthcare, causing hospitalizations, deaths and rigorously impairing the economy. In this work, an age-structured multi-agent model has been developed to simulate an epidemic spread among the US population and strategize adaptive vaccination planning to control the spread. The population was split into six distinct groups of agents depending upo on their age. In addition, the calibration of the multi-agent model parameters for H1N1 2009 pandemic, validation of the model using H1N1 2009 pandemic data from centers for Disease Control and Prevention (CDC, US) was carried out. Using these data, the model was calibrated such that the H1N1 deaths predicted by the model was comparable to that of the deaths reported by CDC, while the H1N1 hospitalizations predicted were within the 95% confidence interval. A series of hypothetical simulations of a H1N1 like pandemic outbreak among the US population to illustrate the effectiveness of various adaptive strategies proposed in the literature will be presented. Each set of simulation was replicated 100 times so as to average the stochastic effects of parameter(s) uncertainty. The multi-agent model developed in this work can be used as a decision support system to systematically gauge the effectiveness of various interventions so as to aid healthcare policy makers to design dynamic, optimal health interventions to counter disease outbreaks. © 2016 IEEE.

关键词： Decision support systems

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Remote visual analysis of numerical simulations on distributed-memory parallel environment

Remote visual analysis of numerical simulations on distribut...

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2010 International Conference on Audio, Language and Image Processing, ICALIP 2010

作者： Cao, Yi Wang, Huawei Wu, Jiming High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing 100094 China

ISBN: (纸本)9781424458653

The distributed-memory parallel computer has become the most popular platform for the parallel acceleration of numerical simulations in scientific computing area. However, complex system characteristics and large-scale time-varying data produced on such environment present tremendous challenges for convenient data analyzing. A visualization system framework is introduced in this paper, which can be easily used to visual analyze the remote simulations. It utilizes a hybrid computational coupling strategy adapting to the parallel computing environment flexibly without disturbing the simulation code structures. Experimental results show the proposed framework can provide good interactivity during steering remote parallel simulations. ©2010 IEEE.

关键词： Numerical models

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Information assisted visualization of large scale time varying scientific data

Information assisted visualization of large scale time varyi...

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2011 International Conference on Virtual Reality and Visualization, ICVRV 2011

作者： Guoqing, Wu Yi, Cao Junping, Yin Huawei, Wang Lei, Song High Performance Computing Center Institute of Applied Physics and Computational Mathematics Bei Jing China

ISBN: (纸本)9780769546025

Visualization of large scale time-varying scientific data has been a challenging problem due to their ever-increasing size. Identifying and presenting the most informative (or important) aspects of the data plays an important role in facilitating an efficient visualization. In this paper, an information assisted method is presented to locate temporal and spatial data containing salient physical features and accordingly accelerate the visualization process. To locate temporal data, two information-theoretic measures are utilized, i.e. the KL-distance, which measures information dissimilarity of different time steps, and the off-line marginal utility, which measures surprisingly information provided by each time step. To locate spatial data, a character factor is introduced which measures feature abundance of each sub-region. Based on these information measures, the method adaptively picks up important time steps and sub-regions with the maximum information content so that the time-varying data can be effectively visualized in limited time or using limited resources without loss of potential useful physical features. The experiments on the data of radiation diffusion dynamics and plasma physics simulation demonstrate the effectiveness of the proposed method. The method can remarkably improve the way in which scientists analyze and understand large scale time-varying scientific data. © 2011 IEEE.

关键词： Visualization

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Identifying the structure of filamentation in laser-plasma

Identifying the structure of filamentation in laser-plasma

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2010 International Conference on Audio, Language and Image Processing, ICALIP 2010

作者： Song, Lei Chen, Hong Cao, Yi High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing 100094 China

ISBN: (纸本)9781424458653

Nowadays benefiting from the powerful computational capacity of the high performance computers, simulation of filamentation in laser plasma interaction(LPI) produces more than terabyte data, which makes traditional visualization ways inefficient and moreover, incapable of discovering more interior information. An analysis method based on signal processing and clustering technique proposed in the paper can identify high-level topological structure in filamentation, which facilitate scientist in-depth understanding to the phenomenon. Experimental results show the method works well. ©2010 IEEE.

关键词： Laser beams

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I/O optimized multiresolution data organization

I/O optimized multiresolution data organization

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2010 International Conference on Audio, Language and Image Processing, ICALIP 2010

作者： Shen, Weichao Xu, Pingjun Xia, Fang High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing 100088 China

ISBN: (纸本)9781424458653

Large scale simulation data challenges the ability of visualization. It becomes an important research content that how to reorganize the large scale data into multiresolution representation and improve the interactive performance of visualization. Considering the data block size produced by large scale simulation mismatches the need of visualization, A novel parallel algorithm of I/O optimized multiresolution data organization is introduced, and it reorganizes simulation data with lower memory need into multiresolution form which matching the optimized I/O size. This technique has been tested on large scale simulation data, its output performance is better than directly parallel write, and interactive visualization performance improves significantly. ©2010 IEEE.

关键词： Visualization

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A STUDY TOR THE INTERACTION BETWEEN SOLAR-WIND IRREGULARITIES AND THE MAGNETOSPHERE THROUGH 3-DIMENSIONAL SIMULATIONS

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PHYSICS OF PLASMAS 1995年第5期2卷 1725-1734页

作者： DAI, WL WOODWARD, PR School of Physics and Astronomy Army High Performance Computing Research Center Supercomputer Institute University of Minnesota 1100 Washington Avenue South Minneapolis Minnesota 55415

In order to understand the interaction between solar wind irregularities and the closed magnetosphere, three‐dimensional (3‐D) computer simulations for ideal magnetohydrodynamical (MHD) equations are performed. This paper considers only the situation in which the initial interstellar magnetic field is either parallel or antiparallel to the magnetospheric magnetic field. The irregularity is modeled as a ball, which initially moves toward the magnetosphere. The penetration of the irregularity in the 3‐D model is found to be less efficient than in a two‐dimensional (2‐D) model. Through a comparison of the present results from 3‐D simulations, not much difference has been found in the efficiency for the irregularity to penetrate into the magnetosphere between two situations in which the interstellar field is parallel or antiparallel to the magnetospheric field.

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Content analysis of marine incident reports: The causal factors and associative relationship

Content analysis of marine incident reports: The causal fact...

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2016 International Conference on computing Technologies and Intelligent Data Engineering, ICCTIDE 2016

作者： Ponnambalam, Loganathan Xiuju, Fu Zhe, Xiao Goh, Rick Siow Mong Kumar, Manish Institute of High Performance Computing ASTAR Singapore Singapore Indian Institute of Technology Patna Bihta India

ISBN: (纸本)9781467384377

Marine incident reports available from official marine bodies contain a wealth of information about the type, causes of incident, and details on the sequence of events that lead to the incident. Knowledge discovery and retrieval of useful information through content analysis and text mining from such reports will help us to understand the primary/secondary causes for the incidents and establish the associative relationship between the causal factors and the type of incidents. In this work, we used the marine incident reports obtained from the 'National Transportation Safety Board, US'. These reports were classified as per the incident type and the primary/secondary causes of the incidents were identified. In addition, heat map(s) to establish the relationship between the primary/secondary causes with respect to the incident type were generated. Causal factors and associative relationships that were not apparent in earlier studies were also identified using the proposed methodology. Additional information on the incidents was also collected to list down the lessons learnt from the historical events so as to formulate the recommendations for mariners to aid their future navigation. © 2016 IEEE.

关键词： Data mining

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