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Proceedings of the 1st International Conference on Algorithms, Computing and Systems最新文献

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Just-In-Time Execution Through On-Demand Resource Allocation in HPC Systems 在高性能计算系统中通过按需资源分配实现的实时执行
A. Portero, M. Podhorányi, D. Hrbáč, Simone Libutti, G. Massari, W. Fornaciari
This article is centred on a mathematical weather forecasting model that must run regularly (i.e. 24/7) on an HPC system. Depending on the environmental conditions, each execution of the model may have a different deadline and a different accuracy requirement. In order to minimize power consumption and heat, we minimize resource allocation as far as the deadlines allow, thus evenly spreading resource usage over time while nonetheless complying with the deadlines. Our work relies on a run-time resource manager that adapts resource allocation to the runtime-variable performance demand of applications. The resource assignment is temperature-aware: the application is dynamically migrated on the coolest cores, and this has a positive impact on the system reliability.
本文的中心是必须在高性能计算系统上定期(即24/7)运行的数学天气预报模型。根据环境条件的不同,模型的每次执行可能有不同的截止日期和不同的精度要求。为了最小化功耗和热量,我们在截止日期允许的范围内最小化资源分配,从而在遵守截止日期的同时均匀地分配资源使用。我们的工作依赖于一个运行时资源管理器,它根据应用程序的运行时可变性能需求调整资源分配。资源分配是温度敏感的:应用程序在最冷的核心上动态迁移,这对系统可靠性有积极的影响。
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引用次数: 0
Raspberry Pi and IOT Based-Automated Teller Machine Security for the DSWD 4P's Biometric System Using Fingerprint Recognition with Fast- Fourier Transform Image Enhancement, Multi-Stage Minutia Extraction 基于树莓派和物联网的自动柜员机安全用于DSWD 4P的生物识别系统,使用指纹识别与快速傅里叶变换图像增强,多阶段细节提取
Ericson D. Dimaunahan, A. Ballado, F. Cruz
Card skimming and identity theft in ATMs transactions are prevalent nowadays. The use of the common PIN system together with the use of fingerprint as one's identification, eliminating the card skimming- and theft-prone typical card when the PIN is known, strengthens the current ATM transaction process. Images from fingerprint sensors undergo a multi-step process to provide proper user identification when transacting in ATMs. The researcher came up with the idea of designing a system to eliminate possibilities of card skimming and identity theft with the use of a fingerprint identification which is unique for each person. The system uses Fast Fourier Transform as one of its image process to produce better image quality to be used for minutiae identifications. The system's simulated performance indices showed an FAR and FRR of 0% and 15.79%, respectively, and accuracy of 92.11%. The image is remotely transmitted to a distant server wirelessly, implementing a full Internet of Things providing the system a better mobility for mobile ATM Setups in far places.
在自动取款机交易中,盗卡和身份盗窃现象十分普遍。使用通用密码系统和使用指纹作为身份识别,消除了在密码已知的情况下容易发生的卡盗卡和盗窃的情况,加强了当前的ATM交易过程。在自动柜员机进行交易时,来自指纹传感器的图像要经过多个步骤才能提供正确的用户身份识别。研究人员提出了设计一种系统的想法,通过使用每个人都独一无二的指纹识别来消除刷卡和身份盗窃的可能性。该系统采用快速傅里叶变换作为图像处理之一,以产生更好的图像质量,用于细节识别。系统的仿真性能指标显示,系统的FAR和FRR分别为0%和15.79%,准确率为92.11%。图像以无线方式远程传输到远程服务器,实现了完整的物联网,为远程移动ATM设置提供了更好的移动性。
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引用次数: 4
Proceedings of the 1st International Conference on Algorithms, Computing and Systems 第一届算法、计算与系统国际会议论文集
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引用次数: 0
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Proceedings of the 1st International Conference on Algorithms, Computing and Systems
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