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Wyszukujesz frazę "Le, H." wg kryterium: Autor


Tytuł:
FTTH Network Optimization
Autorzy:
Nghia Le, H.
Tematy:
cost optimization
development optimization
FTTH
optical technology
telecommunications network
Pokaż więcej
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/308571.pdf  Link otwiera się w nowym oknie
Opis:
Fiber To The Home (FTTH) is the most ambitious among optical technologies applied in the access segment of telecommunications networks. The main issues of deploying FTTH are the device price and the installation cost. Whilst the costs of optical devices are gradually decreasing, the cost of optical cable installation remains challenging. In this paper, the problem of optimization that has practical application for FTTH networks is presented. Because the problem is Non-deterministic polynomial-time hard (NP-hard), an approximation algorithm to solve it is proposed. The author has developed the algorithm in a C# program in order to analyze its performance. The analysis confirms that the algorithm gains near-optimal results with acceptable time consumption. Therefore, the algorithm to be applied in a network design tool for FTTH network planning is proposed.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm
Autorzy:
Khuat, T. T.
Le, M. H.
Tematy:
COCOMO II
cost estimation
NASA software
optimization
teaching-learning-based optimization algorithm
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/309064.pdf  Link otwiera się w nowym oknie
Opis:
Software cost estimation is a critical activity in the development life cycle for controlling risks and planning project schedules. Accurate estimation of the cost before the start-up of a project is essential for both the developers and the customers. Therefore, many models were proposed to address this issue, in which COCOMO II has been being widely employed in actual software projects. Good estimation models, such as COCOMO II, can avoid insufficient resources being allocated to a project. However, parameters for estimation formula in this model have not been optimized yet, and so the estimated results are not close to the actual results. In this paper, a novel technique to optimize the coefficients for COCOMO II model by using teaching-learning-based optimization (TLBO) algorithm is proposed. The performance of the model after optimizing parameters was tested on NASA software project dataset. The obtained results indicated that the improvement of parameters provided a better estimation capabilities compared to the original COCOMO II model.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
41st Solid Mechanics Conference : Book of Abstract
41st SolMech, Warsaw, August 27-31, 2018
Elastostatic Problem of Two Asymmetrical Cracks Along the Inclusion-Matrix Interface Under a Remote Uniform Load
Autorzy:
Pouya, A.
Le, V. H. T.
Brisard, S.
Współwytwórcy:
Burczyński, Tadeusz Ed.
Wiśniewski, Krzysztof Ed.
Wydawca:
Institute of Fundamental Technological Research Polish Academy of Sciences
Opis:
[23], 1-531 s., [532-538] Author Index
Dostawca treści:
RCIN - Repozytorium Cyfrowe Instytutów Naukowych
Książka
Tytuł:
Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm
Autorzy:
Khuat, T. T.
Le, Q. C.
Nguyen, B. L.
Le, M. H.
Tematy:
Artificial Bee Colony algorithm
Artificial Neural Network
back-propagation algorithm
stock price forecasting
wavelet transform
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Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:
https://bibliotekanauki.pl/articles/308651.pdf  Link otwiera się w nowym oknie
Opis:
Stock prediction with data mining techniques is one of the most important issues in finance. This field has attracted great scientific interest and has become a crucial research area to provide a more precise prediction process. This study proposes an integrated approach where Haar wavelet transform and Artificial Neural Network optimized by Directed Artificial Bee Colony algorithm are combined for the stock price prediction. The proposed approach was tested on the historical price data collected from Yahoo Finance with different companies. Furthermore, the prediction result was found satisfactorily enough as a guide for traders and investors in making qualitative decisions.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Isolation and characterization of a DREB homolog gene from a local drought-tolerant maize cultivar
Autorzy:
Huynh, T.T.H.
Nguyen, T.L.
Luu, H.L.
Nguyen, H.H.
Le, H.D.
Bui, M.M.
Pham, T.H.
Doan, T.B.T.
Le, T.T.H.
Ha, H.H.
Nong, V.H.
Tematy:
drought tolerance
maize
transformation
DrEB gene
Tevang-1 cultivar
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Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Powiązania:
https://bibliotekanauki.pl/articles/2117848.pdf  Link otwiera się w nowym oknie
Opis:
Clarifying the genetic background of the drought-tolerance trait is a crucial task that may help to improve plant performance under stress by a genetic engineering approach. dehydration-responsive element-binding protein (dREB) is a transcription factor family which modulates many stress-responsive genes. In this study, we isolated a DrEB homolog gene named ZmDrEBtv from Zea mays var. Tevang-1. Using bioinformatic tools, a number of Indels and SNPs in ZmDrEBtv sequence different from the reference accession were identified. In addition, based on deduced protein sequence similarity, ZmdREBtv was assigned to transcription factor dREB2 class as featured by a conserved dNa binding domain – aP2. The ZmDrEBtv construct under thecontrol of the rd29a promoter was transformed into a drought-sensitive maize plant, K7 line. The transgenic plants were assessed with reference to molecular and phenotypic characteristics related to the drought-tolenrance trait. The results proved that the maize plants carrying ZmDrEBtv gene showed enhanced tolerance and better performance to the water-deficit environment at different stages, compared to the wild-type plants.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of Third Generation Synchrotron Source to Studies of Non-Crystalline Materials: In-Se Amorphous Films
Autorzy:
Burian, A.
Jabłońska, A.
Burian, A. M.
Le Bolloc'h, D.
Metzger, H.
Proux, O.
Hazemann, J. L.
Mosset, A.
Raoux, D.
Tematy:
61.10.-i
61.43.Dq
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Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Powiązania:
https://bibliotekanauki.pl/articles/2030649.pdf  Link otwiera się w nowym oknie
Opis:
The local structure of vacuum evaporated In-Se amorphous films, containing 50, 60, and 66 at.% Se, was studied using differential anomalous X-ray scattering and extended X-ray absorption fine structure. Both intensity and absorption spectra were measured in the vicinity of the absorption K-edge of Se. The differential anomalous X-ray scattering data were converted to real space by the inverse Fourier transform yielding the differential radial distribution functions. The obtained results provide evidence for the presence of Se-In spatial correlations for In$\text{}_{50}$Se$\text{}_{50}$ and Se-In and Se-Se correlations for In$\text{}_{40}$Se$\text{}_{60}$ and In$\text{}_{34}$Se$\text{}_{66}$ within the first coordination sphere.
Dostawca treści:
Biblioteka Nauki
Artykuł

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