Research ArticleOpen accessIn the abstractComparison of Approaches for Predicting Break Indices in Mandarin Speech SynthesisShao Yan-qiu, Zhao Yong-zhen, Han Ji-qing, Liu TingThis study adopts a large-scale corpus with five-tier break indices annotated according to C-TOBI. Based on it, several approaches, N-gram, Markov model and decision tree learning are applied to predict break indices automatically for unrestricted mandarin text. These approaches differ mutually not only in model, but also on features and even part-of-speech tag size. A deep comparison and analysis among … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,211 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Real Options Methodology to Pasturelands EvaluationA. Michailidis, F. Chatzitheodoridis, I. Mountousis, K. PapanikolaouThis study demonstrates the utility of the real options approach to pasturelands investment analysis. The main objectives are to discuss the real options theory and show how it can be adopted to model uncertainty and managerial flexibility in pasture management (enlargement plan) and investment. Secondly, we show how to calculate the option values of selected options that may be available … …American Journal of Applied Sciences, Vol. 3, Issue 8 · 31 Aug 2006 · 6,763 accessesView PDFCite
Research ArticleOpen accessIn the abstractRe-organization Impact on the Telekom Malaysia's International Division ProductivityAhasanul Haque, Ali Khatibi, Khaizura KarimInternational Divisions' productivity was perceived to incline towards a downward trend which was contravened in 1996 re-organization objective of Telekom Malaysia. This study aims to analyze the root causes of this setback and recommend the solutions to improve the company's productivity. The method to diagnose the root cause was done through surveys and interviews. The data collection was carried out … …Journal of Social Sciences, Vol. 2, Issue 2 · 30 Jun 2006 · 7,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Autonomicity of Web Services in the MAWeS FrameworkEmilio P. Mancini, Massimiliano Rak, Roberto Torella, Umberto VillanoIn Web Services designs classical optimization techniques are not applicable. A possible solution to guarantee critical requirements is the use of an autonomic architecture, able to auto-configure and to auto-tune. This study presents MAWeS (MetaPL/HeSSE Autonomic Web Services), a framework whose aim is to support the development of self-optimizing predictive autonomic systems for Web service architectures. It adopts a simulation-based … …Journal of Computer Science, Vol. 2, Issue 6 · 30 Jun 2006 · 7,067 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Method for Tagging Arabic TextYamina Tlili-GuiassaMany natural language expressions are ambiguous and need to draw on other sources of information to be interpreted. Interpretation of the word ﺗﻌﺎون to be considered as a noun or a verb depends on the presence of contextual cues. This study proposes a hybrid method of based- rules and a machine learning method for tagging Arabic words. So this method … …Journal of Computer Science, Vol. 2, Issue 3 · 31 Mar 2006 · 6,700 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of the COCOMO Model Parameters Using Genetic Algorithms for NASA Software ProjectsAlaa F. ShetaDefining the project estimated cost, duration and maintenance effort early in the development life cycle is a valuable goal to be achieved for software projects. Many model structures evolved in the literature. These model structures consider modeling software effort as a function of the developed line of code (DLOC). Building such a function helps project managers to accurately allocate the … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 9,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosted Regression Estimates of Spatial Data: Pointwise InferenceMarco Di Marzio, Charles C. TaylorIn this study simple nonparametric techniques have been adopted to estimate the trend surface of the Swiss rainfall data. In particular we employed the Nadaraya-Watson smoother and in addition, an adapted-by boosting-version of it. Additionally, we have explored the use of the Nadaraya-Watson estimator for the construction of pointwise confidence intervals. Overall, boosting does seem to improve the estimate as … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,349 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Economic Policies in Korea and Malaysia after the Financial CrisisSeok YoonThe Asian Economic Crisis of 1997 escalated from Southeast Asia and landed in Northeast Asia. However, in the process of recovery from the crisis, two countries took the opposite approaches. The Korean Government adopted the plans from the IMF and received a rescue fund, but the Malaysian Government adopted the independent recovery plans. With strong fundamentals, a generally liberal and … …American Journal of Applied Sciences, Vol. 2, Issue 9 · 30 Sep 2005 · 6,820 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Feasibility Study of Challenges and Opportunities in Computational Biology: A Malaysian PerspectiveR. J.A. Richard, N. SriraamThe term computational biology refers to the knowledge derived from a computer analysis of biological data that includes identification of genes in DNA sequence of different organisms, prediction of structural and functional mechanism of proteins, feature extraction and classification of genomics and proteomics. Computational biology is a rapidly developing branch of science and is highly interdisciplinary, using techniques and Concepts … …American Journal of Applied Sciences, Vol. 2, Issue 9 · 30 Sep 2005 · 6,924 accessesView PDFCite
Research ArticleOpen accessIn the abstractNelson and Plosser Revisited: Evidence from Fractional ARIMA ModelsGuglielmo Maria Caporale, Luis A. Gil-AlanaIn this study fractionally integrated ARIMA (ARFIMA) models are estimated using an extended version of Nelson and Plosser[1]’s data set. The analysis employs[11]’s maximum likelihood procedure. Such a parametric approach requires the model to be correctly specified in order for the estimates to be consistent. A model-selection procedure based on diagnostic tests on the residuals, together with several likelihood criteria, … …American Journal of Applied Sciences, Vol. 2, Issue 4 · 30 Apr 2005 · 6,715 accessesView PDFCite