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Ram J.,University of Adelaide | Corkindale D.,University of Western Australia | Wu M.-L.,United International College
Journal of Computer Information Systems | Year: 2013

This study identifies the key antecedent factors for accomplishing the adoption stage of enterprise resource planning (ERP) systems. Five potential antecedent factors of adoption were derived from the literature, including that on innovation theories, and data were obtained from a sample of 217 organizations across Australia. A structural equation modeling (SEM) technique was used to examine the complex relationships between antecedents and the adoption decision. We found that there were three positive drivers of a successful outcome of the ERP adoption stage. Prior findings have shown that system quality is a key enabler for innovation adoption by individuals, and we found that system quality is also an important driver for organizational adoption of ERP. It was also indicated that organizations consider adopting ERP when the market and customer patterns are relatively stable rather than in turbulent environments. Source

Feng X.,United International College | Parnas D.L.,University of Limerick | Tse T.H.,University of Hong Kong
IEEE Transactions on Software Engineering | Year: 2011

Tabular expressions have been proposed as a notation to document mathematically precise but readable software specifications. One of the many roles of such documentation is to guide testers. This paper 1) explores the application of four testing strategies (the partition strategy, decision table-based testing, the basic meaningful impact strategy, and fault-based testing) to tabular expression-based specifications, and 2) compares the strategies on a mathematical basis through formal and precise definitions of the subsumption relationship. We also compare these strategies through experimental studies. These results will help researchers improve current methods and will enable testers to select appropriate testing strategies for tabular expression-based specifications. © 2011 IEEE. Source

Ma A.J.,Hong Kong Baptist University | Yuen P.C.,Hong Kong Baptist University | Yuen P.C.,United International College | Li J.,Hong Kong Baptist University
Proceedings of the IEEE International Conference on Computer Vision | Year: 2013

This paper addresses a new person re-identification problem without the label information of persons under non-overlapping target cameras. Given the matched (positive) and unmatched (negative) image pairs from source domain cameras, as well as unmatched (negative) image pairs which can be easily generated from target domain cameras, we propose a Domain Transfer Ranked Support Vector Machines (DTRSVM) method for re-identification under target domain cameras. To overcome the problems introduced due to the absence of matched (positive) image pairs in target domain, we relax the discriminative constraint to a necessary condition only relying on the positive mean in target domain. By estimating the target positive mean using source and target domain data, a new discriminative model with high confidence in target positive mean and low confidence in target negative image pairs is developed. Since the necessary condition may not truly preserve the discriminability, multi-task support vector ranking is proposed to incorporate the training data from source domain with label information. Experimental results show that the proposed DTRSVM outperforms existing methods without using label information in target cameras. And the top 30 rank accuracy can be improved by the proposed method upto 9.40% on publicly available person re-identification datasets. © 2013 IEEE. Source

Leung J.W.-C.,University of Hong Kong | Wong W.T.,Chinese University of Hong Kong | Koon H.W.,University of Hong Kong | Mo F.M.,University of Hong Kong | And 5 more authors.
PLoS ONE | Year: 2011

Endothelin-1 (ET-1) is a potent vasoconstrictor involved in the regulation of vascular tone and implicated in hypertension. However, the role of small blood vessels endothelial ET-1 in hypertension remains unclear. The present study investigated the effect of chronic over-expression of endothelial ET-1 on arterial blood pressure and vascular reactivity using transgenic mice approach. Transgenic mice (TET-1) with endothelial ET-1 over-expression showed increased in ET-1 level in the endothelial cells of small pulmonary blood vessels. Although TET-1 mice appeared normal, they developed mild hypertension which was normalized by the ET A receptor (BQ123) but not by ET B receptor (BQ788) antagonist. Tail-cuff measurements showed a significant elevation of systolic and mean blood pressure in conscious TET-1 mice. The mice also exhibited left ventricular hypertrophy and left axis deviation in electrocardiogram, suggesting an increased peripheral resistance. The ionic concentrations in the urine and serum were normal in 8-week old TET-1 mice, indicating that the systemic hypertension was independent of renal function, although, higher serum urea levels suggested the occurrence of kidney dysfunction. The vascular reactivity of the aorta and the mesenteric artery was altered in the TET-1 mice indicating that chronic endothelial ET-1 up-regulation leads to vascular tone imbalance in both conduit and resistance arteries. These findings provide evidence for the role of spatial expression of ET-1 in the endothelium contributing to mild hypertension was mediated by ET A receptors. The results also suggest that chronic endothelial ET-1 over-expression affects both cardiac and vascular functions, which, at least in part, causes blood pressure elevation. © 2011 Leung et al. Source

Cheung D.,United International College | Cucker F.,City University of Hong Kong
SIAM Journal on Optimization | Year: 2013

We give an O(log n) bound for the expectation of the logarithm of the condition number K(A, b, c) introduced in "Solving Linear Programs with Finite Precision: I. Condition Numbers and Random Programs" [Math. Program., 99 (2004), pp. 175-196]. This bound improves the previously existing bound, which was of O(n), and yields average-case bounds for both the required precision and the complexity of computing an optimal basis (or a pair of primal-dual optimizers). © 2013 Society for Industrial and Applied Mathematics. Source

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