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69 articles for “Signal detection”
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Research ArticleOpen accessIn the abstractAutomatic Boundary Detection of Wall Motion in Two-dimensional Echocardiography ImagesFaten Abed Ali Dawood, Rahmita Wirza Rahmat, Mohd Zamrin Dimon et al.Problem statement: Medical image analysis is a particularly difficult problem because the inherent characteristics of these images, including low contrast, speckle noise, signal dropouts and complex anatomical structures. An accurate analysis of wall motion in Two-dimensional echocardiography images is “important clinical diagnosis parameter for many cardiovascular diseases”. A challenge most researchers faced is how to speed up the clinical decisions … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 8,188 accessesView PDFCite
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 abstractEnergy Efficient Hidden Markov Model Based Target Tracking Mechanism in Wireless Sensor NetworksB. Amutha, M. PonnavaikkoProblem statement: Target tracking is a challenging application in Wireless Sensor Networks (WSNs) because it is computation-intensive and requires real-time location processing. This study proposes a practical target tracking system based on the Hidden Markov Model in a distributed signal processing framework. In this framework, wireless sensor nodes perform target detection and tracking, whereas target localization requires the collaborative signal … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 7,174 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Morphological Method for Detection and Recognition of Vehicle License PlatesS.H. Mohades Kasaei, S.M. Mohades Kasaei, S. A. MonadjemiProblem statement: License plate detection and recognition is an image-processing technique used to identify a vehicle by its license plate. This notable technology has got multiple applications in various traffic and security cases. To name but a few, toll roads, border control, security and car tracking are same of its applications. The main stage is the isolation of the license … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 7,653 accessesView PDFCite
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 abstractImpedance Method Application for Multi-Layer Structure TestingMonzer Moh’D KrishanMulti-layer materials and structures are widely used in the modern aircraft industry. The main defect of these structures is delamination. The most appropriate method for detection of such kind flaws is the impedance testing method. This research is devoted to the features of the impedance method for multi-layer panel testing. The theoretical and experimental investigations of mechanical impedance are presented … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Evaluation Techniques of Processing the ECG SignalMikhled Alfaouri, Khaled DaqrouqIn this research, methods to detect and evaluate the main parameters of the ECG signal are presented in order to improve its clinical properties. Two techniques are addressed in this research, Piecewise method and the Analytical Approach. These techniques are used to determine such as: percent (rms) difference (PRD), signal-noise-ratio (SNR) and the compression ratio (CR) which are used to … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 6,655 accessesView PDFCite
Research ArticleOpen accessIn the abstractSoluble Tumor Necrosis Factor Receptor Type I and Dranulysin as Immunological Markers in Congestive Heart FailureSimone de Lima e Silva Deo, Maria Do Carmo Valente De Crasto, Alda Maria Da-Cruz et al.Previous studies have shown that circulating levels of cytokines are increased in patients with congestive heart failure (CHF), resulting in myocardial depression. In this work, we have determined serum levels of TNF-α and IFN-γ by ELISA, detected sTNFR-I by dot ELISA, as well as TNFα, IL-6, IL-10 and granulysin mRNA in unstimulated peripheral blood mononuclear cells (PBMC) by RT-PCR in … …American Journal of Immunology, Vol. 1, Issue 3 · 30 Sep 2005 · 6,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Development of a New, Rapid, Amperometric Immunosensor for the Detection of Low Concentrations of Bacteria Part II: Optimization of the System for Escherichia coliEric Carnes, Ebtisam WilkinsThe optimization of a flow-through immunoassay system was conducted to achieve rapid detection of low concentrations of E. coli bacteria. The system includes a new immunosensor that uses newly developed, disposable immunofiltration membranes to yield a system that is sensitive as well as simple. Comparison of the performance of this system with conventional immunoassays demonstrated a significantly shorter time for … …American Journal of Applied Sciences, Vol. 2, Issue 3 · 31 Mar 2005 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Re-Formulation of user’s Irrational Behavior in Speech Recognition using Acoustic Nudging ModelLydia Kehinde Ajayi, Ambrose Azeta, Isaac Odun-Ayo et al.In automatic speech recognition for development of automatic speech recognition applications, there has been numerous claims on the presence of speech recognition errors known as classified into lexical and acoustic errors. These errors distort speech signals thereby depreciating the accuracy and performance rate of speech recognition applications. Even though lexical speech recognition error problem has been partially combated, acoustic speech … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,509 accessesView PDFCite