We developed an R toolkit to manage data described by attributes, able to make clusters with a support vector clustering method (SVC). We have implemented an original 2D-grid labeling approach to extract clusters to optimize time processing. In this sense, svc can be seen as an efficient cluster extraction if clusters are separable in a 2-D map. Secondly we showed that this SVC approach using a...

This paper explores the role of imports as a mechanism of transmission of international technological spillovers and the significance of these for the growth and economic convergence of the OECD countries. For this purpose a growth model is estimated that includes amongst its determinants a measure of the stock of technological knowledge. The results reveal first that international technologica...

Despite its growing age, the JPEG is among the most popular choices as a standard compression scheme for continuous-tone still images. In this paper, a novel technique is proposed to alleviate the blocking artifacts that usually occur in JPEG coded images especially at low bit rates. The proposed algorithm consists of two stages: firstly, the AC coefficients are estimated based on their observe...

In logistic transport industry, individual demands and diversity requirements are matters in transport operation; this paper focused on solving vehicle routing problem (VRP) by using the immune genetic algorithm (IGA). In this algorithm, firstly, establish the mathematical model of VRP. Secondly, design the IGA of which use natural number coding method to encode antibodies; apply R continuous m...

This paper studies the timing of subsidies for emissions-saving research and development (R&D) and how innovation policy is influenced by a carbon tax. We develop a dynamic computable general equilibrium (CGE) model with both general R&D and specific emissions-saving R&D. We find two results that are important when subsidizing emissions-saving R&D in order to target inefficiencies in the resear...

Introduction The important considerations in the design and operation of a transmission line are the determination of voltage drop, line losses and efficiency of transmission. These values are greatly influenced by the line constants R, L and C of the transmission line. For instance, the voltage drop in the line depends upon the values of above three line constants. Similarly, the resistance of...

In this study, we analyze firms’ membership in R&D (Research and Development) cooperation networks trough simulation methods. Our main research hypothesis is that the membership in cooperation networks is related to the degree of the knowledge spillover. The approach has two scenarios: cost symmetry and cost asymmetry. We first develop an analytical model with three stages: firstly, firms decid...

We derive and analyse a deterministic model for the transmission of malaria disease with mass action form of infection. Firstly, we calculate the basic reproduction number, R(0), and investigate the existence and stability of equilibria. The system is found to exhibit backward bifurcation. The implication of this occurrence is that the classical epidemiological requirement for effective eradica...

For perspective, recall how we define the tangent space of a differentiable manifold M . We coverM by open neighborhoods Ui which are identified with R , and then we transfer our understanding of the tangent space at a point of R to define the tangent space at a point in Ui. This can be shown to be independent of choices. This approach is not a good idea for an affine algebraic set X because X ...

We present a new R package which takes a numerical matrix format as data input, and computes clusters using a support vector clustering method (SVC). We have implemented an original 2D-grid labeling approach to speed up cluster extraction. In this sense, SVC can be seen as an efficient cluster extraction if clusters are separable in a 2-D map. Secondly we showed that this SVC approach using a J...