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Juan Carlos Figueroa Garcia, Jhoan Sebastian Tenjo García
Pág. 38 - 49
ResumenDescargasReferenciasCómo citar
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Ruigeng Hu, Hongjun Liu, Hao Leng, Peng Yu and Xiuhai Wang
A series of numerical simulation were conducted to study the local scour around umbrella suction anchor foundation (USAF) under random waves. In this study, the validation was carried out firstly to verify the accuracy of the present model. Furthermore, ...
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Mohammad Nasim Imtiaz Khan, Chak Yuen Cheng, Sung Hao Lin, Abdullah Ash-Saki and Swaroop Ghosh
We use commercial magnetic memory to realize morphable security primitives, a Physically Unclonable Function (PUF) and a True Random Number Generator (TRNG). The PUF realized by manipulating the write time and the TRNG is realized by tweaking the number ...
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Hyunki Kim, Juhong Han, Chanil Park and Okyeon Yi
Cryptography; Random Number analysis.
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Luca Pasqualini and Maurizio Parton
A Pseudo-Random Number Generator (PRNG) is any algorithm generating a sequence of numbers approximating properties of random numbers. These numbers are widely employed in mid-level cryptography and in software applications. Test suites are used to evalua...
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Ernestasia, Esther Nababan, Asima Manurung
Pág. 110 - 125
In the queuing system, inter arrival variable and service time variable are probabilistic and its pattern follow a Poisson distribution. Simulations experiment for performance measurement of a queuing system required random data. In practice, random data...
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Teh-Lu Liao, Pei-Yen Wan and Jun-Juh Yan
This paper is concerned with the design of synchronized large-scale chaos random number generators (CRNGs) and its application to secure communication. In order to increase the diversity of chaotic signals, we firstly introduce additional modulation para...
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Sahin INANÇ, H. Kemal SEZEN
Pág. 13 - 26
As a part of their simulation work, random numbers are usually generated by computers. The purpose of this work is to test and verify the randomness of the so-called random generator so that it can be used in simulation runs. Additionally, in this study,...
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J. L. Divya Shivani and Ranjan K. Senapati
This paper presents a DCT-based (DCT: discrete cosine transform) listless set partitioning in hierarchical trees (SPIHT) digital watermarking technique that is robust against several common attacks such as cropping, filtering, sharpening, noise, inversio...
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J. L. Divya Shivani and Ranjan K. Senapati
This paper presents a DCT-based (DCT: discrete cosine transform) listless set partitioning in hierarchical trees (SPIHT) digital watermarking technique that is robust against several common attacks such as cropping, filtering, sharpening, noise, inversio...
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Zhihua Wang, Zhan Zhao and Chenglong Yin
The classification of unmanned aerial vehicle hyperspectral images is of great significance in agricultural monitoring. This paper studied a fine classification method for crops based on feature transform combined with random forest (RF). Aiming at the p...
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Charles R. Ortloff
High-speed fluid flows over roughened surfaces occur in many engineering applications; one important application involves high velocity water flows in pipelines with roughened interior walls where the wall roughness affects head loss estimates necessary ...
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Thomas B. Lynch, David Hamlin, Mark J. Ducey and Bruce E. Borders
Recently, methods for inventories of forest plantations have been proposed based on the use of remote sensing to estimate total row length, followed by the estimation of plantation row attributes, such as number and volume or weight of trees, at randomly...
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Soroush Ahmadi and Farhang Sefidvash
Pressure drops of water and critical steam flowing in the fixed bed of mono-sized spheres are studied using SolidWorks 2017 Flow Simulation CFD code. The effects of the type of bed formation, flow velocity, density, and pebble size are evaluated. A new e...
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Ming Zhang, Jinghong Zhou and Runjuan Zhou
The ecological compensation scheme of water pollution in the basin is a result of the interplay between upstream and downstream cities, which is of great significance to the guidance of regional economic development. The purpose of this paper is to propo...
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Li Long, Huaping Yang, Yan Zhou and Yong Yang
To improve the seismic connectivity reliability (SCR) analysis efficiency of water distribution systems (WDS) based on Monte Carlo (MC) simulation, the quasi-Monte Carlo (QMC) method sampled by a low-discrepancy sequence is applied. Furthermore, a parall...
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Jonathan Lancelot, Bhaskar P. Rimal and Edward M. Dennis
This paper is designed to explicate and analyze data acquired from experimental field tests of a Tesla Model 3 lane correction module within the vehicle?s Autopilot Suite, a component of Tesla OS. The initial problem was discovered during a nominal drive...
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Ismaïl Saadi, Ahmed Mustafa, Jacques Teller, Mario Cools
Pág. 2566 - 2573
This paper presents a random forests (RF) based approach to estimate an origin-destination (O-D) matrix on the basis of a travel survey. The trips are predicted on a weekly basis to retain a maximum number of recorded trips for model calibration and vali...
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Sihmehmet Yildiz, Hayriye Pehlivan Solak and Melike Nikbay
Uncertainty quantification has proven to be an indispensable study for enhancing reliability and robustness of engineering systems in the early design phase. Single and multi-fidelity surrogate modelling methods have been used to replace the expensive hi...
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Wen Zhang, Yanqun Wu, Jian Shi, Hongze Leng, Yun Zhao and Jizhou Guo
In shallow water, passive sonar usually has great difficulty in discriminating a surface acoustic source from an underwater one. To solve this problem, a supervised machine learning method using only one hydrophone is implemented in this paper. Firstly, ...
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