Research ArticleOpen accessIn the abstractHead Gesture Analysis using Matrix Group Displacement AlgorithmMahmoud Z. IskandaraniA novel algorithm for head gestures interpretation is designed and tested. The designed system carries out gesture detection and recognition using the MGDA algorithm, which implements random sampling and importance sampling, such technique can track head poses and estimate head positions. Problem statement: Head position is an important indicator of a person’s focus of attention, which can be used as … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractDWT to Classify Automatically the Placental Tissues Development: Neural Network ApproachMohammad Ayache, Mohamad Khalil, Francois TranquartProblem statement: This study proposed an approach for classification of placental tissues development using ultrasound images. Approach: This approach was based to the selection of tissues, feature extraction by discrete wavelet transform and classification by neural network and especially the Multi Layer Perceptron (MLP). Results: The proposed approach was tested for ultrasound placental images; resulting in 95% success rate. Conclusion/Recommendations: … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 6,997 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoft Computing in Optimizing Assembly Lines BalancingMuhammad Zaini Matondang, Muhammad Ikhwan JambakAs part of manufacturing systems, the assembly line has become one of the most valuable researches to accomplish the real world problems related to them. Many efforts have been made to seek the best techniques in optimizing assembly lines. Problem statement: Since it was published by Salveson in 1955, some methods and techniques have been developed based on mathematical modeling. … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Constructive Neural Network Architecture for Pattern ClassificationS. S. Sridhar, M. PonnavaikkoProblem statement: Constructive neural network learning algorithms provide optimal ways to determine the architecture of a multi layer perceptron network along with learning algorithms for determining appropriate weights for pattern classification problems. These algorithms initially start with small network and dynamically allow the network to grow by adding and training neurons as needed until a satisfactory solution is found. The … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,565 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Influence of Soil Characteristics in Low Flows RegionalizationPaolo Vezza, Claudio Comoglio, Alberto Viglione, Maurizio RossoProblem statement: For the purpose of low flows regionalization, relevant issue for water resources management like environmental flows requirements definition, this study focused on the controls on the seasonal and spatial variability of q95 (i.e., the specific discharge that was exceeded on 95% of all the time) with particular reference to the role of soil characteristics, that, like soil infiltration … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 6,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistribution and Determining of Tourist Attractions and Modeling of Tourist Cities for the City of Isfahan-IranSeifolddini-Faranak, M. Shabani Fard, Hosseini AliProblem statement: Cities have different attractions and usually have tourists. But Management and development sustainable tourist activities needs planning. Approach: This research used survey method and taxonomy analysis to study the spatial pattern of tourist attractions in Isfahan city. Isfahan city is chosen because of numerous tourist attractions and its importance at national and regional level and also its multi … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 7,673 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Statistical Speech Segmentation Using Connectionist ApproachM. S. Salam, Dzulkifli Mohamad, S. H. SallehProblem statement: Speech segmentation is an important part for speech recognition, synthesizing and coding. Statistical based approach detects segmentation points via computing spectral distortion of the signal without prior knowledge of the acoustic information proved to be able to give good match, less omission but lot of insertion. These insertion points dropped segmentation accuracy. Approach: This study proposed a fusion … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeural Networks Based Time-Delay Estimation using DCT CoefficientsSamir J. Shaltaf, Ahmad A. MohammadThis study dealt with the problem of estimating constant time delay embedded into a received signal that was noisy, delayed and damped image of a known reference signal. The received signal was filtered, normalized with respect to the peak value it achieved and then transformed by the Discrete Cosine Transform (DCT) into DCT coefficients. Those DCT coefficients that were most … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 7,479 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Moment Features Extraction for Recognizing Handwritten Arabic LettersGheith Abandah, Nasser AnssariProblem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Neural Network Approach in Radar Target ClassificationN.K. Ibrahim, R.S.A. Raja Abdullah, M.I. SaripanProblem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR). In this study the target is a ground vehicle which is represented by typical public road transport. The features from raw radar signal … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 9,370 accessesView PDFCite