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241 results for “detecting”
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Research ArticleOpen accessIn the abstractAnomaly Detection in Electroencephalogram Signals Using Unconstrained Minimum Average Correlation Energy FilterAini Hussain, Rosniwati Ghafar, Salina Abdul Samad, Nooritawati Md TahirProblem statement: Electroencepharogram (EEG) is an extremely complex signal with very low signal to noise ratio and these attributed to difficulty in analyzing the signal. Hence for detecting abnormal segment, a distinctive method is required to train the technologist to distinguish the anomalous in EEG data. The objective of this study was to create a framework to analyze EEG signals … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractCondition Monitoring and Diagnosis of Faults in the Electric Induction MotorA. Medoued, A. Metatla, A. Boukadoum et al.Problem statement: The diagnosis of failures in the induction machine, when it is implemented effectively and whether it allows detecting early deterioration of the system, represents a means to help achieve better productivity. Approach: Primary purpose was to detect and locate a possible malfunction of equipments. In this study we developed a method using the three phase-biphase transformation (shape recognition), … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractHyperspectral Imagery for Mapping Disease Infection in Oil Palm Plantation Using Vegetation Indices and Red Edge TechniquesHelmi Zulhaidi Mohd Shafri, Nasrulhapiza HamdanProblem statement: Large scale plantation of oil palm trees requires on-time detection of diseases as the ganoderma basal stem rot disease was present in more than 50% of the oil palm plantations in Peninsular Malaysia. Approach: To deal with this problem, airborne hyperspectral imagery offers a better solution in order to detect and map the oil palm trees that were … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 10,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Control-Oriented Coverage Metric and its Evaluation for Hardware DesignsShireesh Verma, Kiran Ramineni, Ian G. HarrisProblem statement: Dynamic verification, the use of simulation to determine design correctness, is widely used due to its tractability for large hardware designs. A serious limitation of dynamic techniques is the difficulty in determining whether or not a test sequence is sufficient to detect all likely design errors. Coverage metrics are used to address this problem by providing a set … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,528 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Tactile Force Probe for Tissue Stiffness ClassificationBehafarid Darvish, Siamak Najarian, Elham Shirzad, Roozbeh KhodambashiIn this study, we have proposed a new type of tactile sensor that is capable of detecting the stiffness of soft objects. The sensor consists of a brass cylinder with an axial bore. An iron core can easily move inside the bore. Three peripheral bobbins were machined in the cylinder around which three coils have been wound. One of the … …American Journal of Applied Sciences, Vol. 6, Issue 3 · 31 Mar 2009 · 7,286 accessesView PDFCite
Research ArticleOpen accessIn the abstractControl Strategy for Discontinuous Conduction Mode Boost Rectifier with Low Total Harmonic Distortion and Improved Dynamic ResponseH.S. AthabDue to its simplicity, the discontinuous conduction mode boost rectifier is potentially the least expensive active line-harmonics reducing circuit. Problem statement: The line current however, shows considerable distortion when the peak input voltage is close to the output voltage, As a result, the input power factor is poor. This study proposes a simple, low-cost method to reduce the line harmonics. … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2008 · 7,418 accessesView PDFCite
Research ArticleOpen accessIn the abstractPowerful Features of the Modern Syllogistic Method of Propositional LogicAli Muhammad Rushdi, Omar Mohammed Ba-RukabIn traditional propositional logic, many replacement and inference rules were involved to ascertain if the truth of several antecedents implied the truth of a particular consequent. This research described a powerful technique called the Modern Syllogistic Method (MSM), which ferreted out from a set of premises all that can be concluded from it and casted the resulting conclusions in the … …Journal of Mathematics and Statistics, Vol. 4, Issue 3 · 30 Sep 2008 · 7,108 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Technique to Detect the Region of Interests in Mammogram ImagesMoussa H. Abdallah, Ayman A. AbuBaker, Rami S. Qahwaji, Mohammed H. SalehProblem Statement: Breast cancer is the second leading cause of cancer deaths in women today after lung cancer and is the most common cancer among women. The development of efficient technique to early detect the region of microcalcifications mammogram images is a must. Approach: The method proposed in this paper is to enhance the Computer Aided Diagnosis (CAD) performance. This … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,629 accessesView PDFCite
Research ArticleOpen accessIn the abstractCentral Nervous System Tuberculomas: A Review ArticleMutasem Abuhamed, Xiao Bo, Cai YanCentral Nervous System Tuberculomas (CNSTs), the most dangerous form of tubercolomas, remains a public health problem, particularly in the developing country. Central nervous system tuberculomas, either single or multiple, usually presents as a diagnostic challenge because it resembles many other infectious and non-infectious medical conditions, particularly in patients without constitutional symptoms or evidence of tuberculosis elsewhere in the body. Here … …American Journal of Infectious Diseases, Vol. 4, Issue 2 · 30 Jun 2008 · 7,484 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 · 7,882 accessesView PDFCite