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Research ArticleOpen accessIn the abstractAn Effective Data Transformation Approach for Privacy Preserving ClusteringR. R. Rajalaxmi, A. M. NatarajanA new stream of research privacy preserving data mining emerged due to the recent advances in data mining, Internet and security technologies. Data sharing among organizations considered to be useful which offer mutual benefit for business growth. Preserving the privacy of shared data for clustering was considered as the most challenging problem. To overcome the problem, the data owner published … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Recognition Using Combination of Discrete Multi_Wavelet and Wavenet TransformDr Mikhled AlfaouriFocus of the method was to present image identification and labeling using new combination of dynamic transforms. This method is based on using the combination of the Discrete Multi-wavelet Transform (DMWT) and Wavenet Transform (WN). In this method, the resulting coefficients were computed by the proposed multi-wavelets transform for single-level decomposition. The low pass sub bands of the upper left … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 7,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractRounding Theorem the Possibility of Applying the Cryptosystems on the Decimal NumbersRand Alfaris, Muhamad Rezal Kamel Ariffin, Mohamed Rushdan Md SaidThe possibility of using the decimal numbers in cryptography as the base of the encryption and decryption is proposed by introducing the "Rounding Theorem". Until now, cryptosystems are used the integer numbers to avoid the fractions of the decimal numbers. That is to avoid losing the original plaintext after the decryption. This theorem is proved that there is no lost … …Journal of Mathematics and Statistics, Vol. 4, Issue 1 · 31 Mar 2008 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Detection in Gray Level Images based on the Shannon EntropyBaljit Singh, Amar P. SinghMost of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are Gradient operators, Laplacian and Laplacian of Gaussian operators. Gradient based edge detection methods, such as Roberts, Sobel and Prewitts, have used two 2-D linear filters to process vertical edges and horizontal edges separately to approximate first-order derivative of pixel … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Offline Signature Verification Scheme Using Feature Point Extraction MethodDebasish Jena, Banshidhar Majhi, Sanjay K. JenaSignature verification is a technology that can solve security problems in our networked society. A new improved offline signature verification scheme is proposed which is based on selecting 60 feature points from the geometric centre of the signature and compares them with the already trained feature points. The classification of the feature points utilizes statistical parameters like mean and variance. … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 6,886 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Simulation of Fuel Nozzle Multi Holes Geometries Effect on Direct Injection Diesel Engine Performance Using GT-POWERRosli Abu Bakar, Semin, Abdul Rahim Ismail, Ismail AliThe computational model simulation development is use the commercial computational fluid dynamics of GT-POWER 6.2 software were specially development for internal combustion engines performance simulation. The research concentrated on one dimensional model and focuses on fuel nozzles multi holes geometries variation developed from all of the engine components size measurement of the original selected diesel engine. All of the measurements … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 8,964 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Graph Coloring AlgorithmsHussein Al-Omari, Khair E. SabriTwo new heuristic graph-coloring algorithms, based on known heuristic algorithms, have been introduced. One of them is a modification of the Largest Degree Ordering (LDO) algorithm, and the other one is a modification of the Saturation Degree Ordering (SDO) algorithm. The two new algorithms proposed in this paper, were compared empirically, in terms of used colors, with some of the … …Journal of Mathematics and Statistics, Vol. 2, Issue 4 · 31 Dec 2007 · 7,048 accessesView PDFCite
Research ArticleOpen accessIn the abstractRemoval of Dye from Textile Wastewater Using Plant Oils Under Different pH and Temperature ConditionsA.S. Mahmoud, Abdel E. Ghaly, M.S. BrooksThe effectiveness of five plant oils (cottonseed, olive, canola sunflower and used cooking oil) for the removal of dye from textile wastewater was evaluated. The study revealed that the dye removal efficiency increased as the temperature was increased. Under low pH, both the oil and dye split into two components each. Neither one of the oil components joined with either … …American Journal of Environmental Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 8,359 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetoxification of Heavy Metal Contaminated SoilsFloarea Damian, Gheorghe DamianThe concentration of the heavy metals in the soils from the strong affected zones because of the mining and metallurgical industry, Baia Mare and Zlatna (Romania), is significant due to the high values of the contents and association of the four metals Pb, Cu, Zn, Cd. The efficacy of the natural zeolites in heavy metals immobilization from the studied soils … …American Journal of Environmental Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Resonance Theory 1 (ART1) Neural Network Based Horizontal and Vertical Classification of 0-9 Digits RecognitionMbaitiga ZacharieThis study describes the Adaptive Resonance Theory 1 (ART1), an efficient algorithm that emulates the self-organizing pattern recognition and hypothesis testing properties of the ART neural network architecture for horizontal and vertical classification of 0-9 digits recognition. In our approach the ART1 model can self-organize in real time producing stable and clear recognition while getting input patterns beyond those originally … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,353 accessesView PDFCite