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Research ArticleOpen accessIn the abstractGamma Irradiation Synthesis and Influence the Optical and Thermal Properties of Cadmium Sulfide (CdS)/Poly (Vinyl Pyrolidone) NanocompositesShawkat Salameh Gasaymeh, Shahidan Radiman, Lee Yook Heng, Elias SaionProblem statement: Gamma irradiation has been successfully used to prepare a spherical cadmium sulfide CdS/Poly Vinylpyrolidone (PVP) quantum dots nanoparticles with enhancement of their optical band gap energy and thermal properties at room temperature and under ambient pressure. Sodium thiosulfate was used as a sulfur source in an aqueous solution. The formation of lower band gap energy of CdS/PVP nanoparticles … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 8,459 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Back Propagation Neural Networks for Grading Jatropha curcas Fruits MaturityZ. Effendi, R. Ramli, J. A. GhaniProblem statement: Jatropha curcas has the potential to become one of the world’s key energy crops. Crude vegetable oil, extracted from the seeds of the Jatropha plant, can be refined into high quality biodiesel. Traditional identification of Jatropha curcas fruits is performed by human experts. The Jatropha curcas fruit quality depends on type and size of defects as well as … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Bone Properties due to Skeletal Diseases on Stability of Cementless Hip StemsMohammed Rafiq Abdul Kadir, Nazri KamsahProblem statement: There are two types of implant fixation in hip joint replacement-cemented and cementless. The cemented types are, in general, more popular due to concerns of possible inability of cementless implants achieving maximum primary stability for bone integration. The concern is more significant in cases where there are major losses of cancellous bone stock and thinning of the trabeculae … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 7,169 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,571 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm for the Segmentation of Known Touching ObjectsEdgar Scavino, Dzuraidah Abdul Wahab, Hassan Basri et al.Problem statement: Segmentation is the first and fundamental step in the process of computer vision and object classification. However, complicate or similar colour pattern add complexity to the segmentation of touching objects. The objective of this study was to develop a robust technique for the automatic segmentation and classification of touching plastic bottles, whose features were previously stored in a … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 7,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractLandscape Change and Sandy Desertification Monitoring and AssessmentEltahir Mohd Elhadi, Nagi Zomrawi, Hu GuangdaoProblem statement: The objective of this study is to develop techniques for assessing and analyzing sand desertification in the northern part of Shaanxi Province, China. Approach: In order to reveal the process of land degradation, especially the latest situation of sandy desertification, a method integrating remote sensing, Geographic Information System (GIS) and field survey was employed to build a sandy … …American Journal of Environmental Sciences, Vol. 5, Issue 5 · 31 Oct 2009 · 7,124 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantitative Performance of Spectral Indices in Large Scale Plant Health AnalysisHelmi Zulhaidi Mohd Shafri, Mohanad Saad EzzatProblem statement: Oil palm trees are planted in large scale areas. The detection and mapping of diseases are considered as important for oil palm industry and need a timely detection to control the disease spread. Approach: Vegetation analysis of airborne hyperspectral imagery could be an ideal method to deal with this problem since this data could be acquired on user … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,222 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Milling Time on Ni0.5Zn0.5Fe2O4 Compositional Evolution and Particle Size DistributionI. Ismayadi, M. Hashim, A. M. Khamirul, R. AliasProblem statement: This study involved an investigation to ascertain the diffusion of NiO and ZnO into the tetrahedral and octahedral sites using mechanical alloying method. The effect of mechanical alloying towards particle size was also reported. Approach: NiO, ZnO and Fe2O3 precursors were mechanically alloyed to synthesis ultrafine powders of Ni0.5Zn0.5Fe2O4. Various milling times were employed to study the effect … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Changing Drainage Basin System with Tectonic Forms, Case Study: Lut Block, IranEbrahim MoghimiThe study area locates in the east of Iran and it is morphologic block (unit). Problem statement: Sharp contrasts in the appearances of landscapes such as drainage basins with litology (kind of rock), tectonic regime, folding and climatic effect had been inspired geomorphologies in the past and now to devise schemes to explain those contrasts. These contrasts also remained and … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 7,265 accessesView PDFCite
Research ArticleOpen accessIn the abstractIris Recognition Using Discrete Cosine Transform and Artificial Neural NetworksAhmad M. SarhanProblem statement: The study presented an efficient Iris recognition system. Approach: The design used the discrete cosine transform for feature extraction and artificial neural networks for classification. The iris images used in this system were obtained from the CASIA database. Results: A robust system for iris recognition was developed. Conclusion: An iris recognition system that produces very low error rates … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,751 accessesView PDFCite