Autor: Le, T T - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: The Design of 4××4 4 Multimode Interference Coupler Based Microring Resonators on an SOI Platform
Autorzy:: Le, T.T.
Cahill, L. W.
Powiązania:: https://bibliotekanauki.pl/articles/308902.pdf
Data publikacji:: 2009
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: integrated optics
multimode interference couplers
optical logic gates
Opis:: This paper would like to propose a novel microring resonator based on 4 ×4 multimode interference (MMI) couplers. The device acts as two separate microring resonators just in one structure. The transfer matrix method and the three dimensional beam propagation method (3D-BPM) are used to verify the working principle of the device. The device is then designed on silicon on insulator (SOI) technology. This device may be a very promising building block for optical switches, filters, add-drop multiplexers, delay lines and modulators.
Źródło:: Journal of Telecommunications and Information Technology; 2009, 2; 58-62
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

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.
Powiązania:: https://bibliotekanauki.pl/articles/309064.pdf
Data publikacji:: 2016
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: COCOMO II
cost estimation
NASA software
optimization
teaching-learning-based optimization algorithm
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.
Źródło:: Journal of Telecommunications and Information Technology; 2016, 1; 84-89
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

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.
Powiązania:: https://bibliotekanauki.pl/articles/308651.pdf
Data publikacji:: 2016
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: Artificial Bee Colony algorithm
Artificial Neural Network
back-propagation algorithm
stock price forecasting
wavelet transform
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.
Źródło:: Journal of Telecommunications and Information Technology; 2016, 2; 43-52
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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