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309 results for “C-Scan”
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Research ArticleOpen accessIn the abstractA Study on Bioelectricity Production by the Synergistic Action of Bacillus tequilensis DMR-5 and Pseudomonas aeruginosa DMR-3 Isolated from Rumen FluidJothinathan Deepika, Sundaram Meignanalakshmi, Wilson Richard ThilagarajThe present study focuses on the bioelectricity production from pure culture of Bacillus tequilensis DMR-5 and Pseudomonas aeruginosa DMR-3. Both the cultures were isolated from the anodic biofilm of pre-run MFC’s with rumen fluid as anodic substance. They were checked for the power production for 10 days both as pure isolates and co-culture. Bacillus tequilensis and Pseudomonas aeruginosa produced 250 … …American Journal of Environmental Sciences, Vol. 9, Issue 5 · 29 Oct 2013 · 6,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CONTEXT-BASED TECHNIQUE USING TAG-TREE FOR AN EFFECTIVE RETRIEVAL FROM A DIGITAL LITERATURE COLLECTIONMuthuraman Thangaraj, Vengatasubramanian GayathriThe increasing growth of information in online digital libraries causes an increasing need to develop techniques to retrieve. In the digital library, findability-finding the user required information is a hectic task than those of usability. The major issues in findability are (a) topic diffusion: results of a traditional keyword based search, often leads to multiple topic areas, some of which … …Journal of Computer Science, Vol. 9, Issue 11 · 5 Oct 2013 · 6,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractA MODIFIED ADAPTIVE WAVELET SHRINKAGE SPECKLE FILTER FOR ULTRASOUND IMAGESNirmaladevi Periyasamy, Asokan RamasamyThe usage of ultrasound imaging for medical diagnosis is limited due to the presence of speckle noise. In this study Modified Adaptive Wavelet Shrinkage Filter (MAWSF) in the translational invariant domain is proposed for the removal of speckle noise. The adaptive wavelet threshold function removes the fixed bias of soft thresholding. A new inter-scale dependency model is proposed, to perform … …Journal of Computer Science, Vol. 9, Issue 10 · 16 Sep 2013 · 6,539 accessesView PDFCite
Research ArticleOpen accessIn the abstractMEDICAL IMAGE COMPRESSION TECHNIQUE USING LISTLESS SET PARTITIONING IN HIERARCHICAL TREES AND CONTEXTUAL VECTOR QUANTIZATION FOR BRAIN IMAGESS. Sridevi, V. R. VijayakumarA hybrid image compression techniques has been developed to compress medical images. Due to the extensive use of medical images like CT and MR scan, these medical imagery are stored for a longer period for the continuous monitoring of the patients and the amount of data associated with images is large and it occupies enormous storage capacity. So, the medical … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 7,194 accessesView PDFCite
Research ArticleOpen accessIn the abstractRamsay Hunt Syndrome: Case ReportJuliana Oliveira Freitas Silveira, Fernanda Schettini de Oliveira, Yanes Brum Bello et al.Problem statement: Ramsay Hunt syndrome is characterized by peripheral facial palsy and eruptions in external ear reportedly due to the reactivation of latent varicela zoster virus in the sensory ganglia of facial nerve. Our purpose is to describe a case of this syndrome accompanied by the Neurology Service of Nova Iguacu General Hospital. Approach: A 60-year old female patient sought … …Current Research in Medicine, Vol. 3, Issue 2 · 30 Aug 2012 · 8,241 accessesView PDFCite
Research ArticleOpen accessIn the abstractSchizencephaly: Case ReportJuliana Oliveira Freitas Silveira, Fernanda Schettini de Oliveira, Fernanda Arrua Vares et al.Problem statement: Whereas schizencephaly is a malformation of cortical development which exact cause remains unknown, is almost entirely characterized by clefts extending from the pial surface to ependymal surface and could be unilateral or bilateral. Oftentimes, it also occurs in association with other abnormalities. Over the years, two types were described in literature, lips closed and open. Therefore, our intention … …Current Research in Medicine, Vol. 3, Issue 2 · 28 Aug 2012 · 8,184 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow Transition Test Pattern Generator Architecture for Built-in-Self-TestP. Sakthivel, A. NirmalKumar, T. MayilsamyProblem statement: In Built-In Self-Test (BIST), test patterns are generated and applied to the Circuit-Under-Test (CUT) by on-chip hardware; minimizing hardware overhead is a major concern of BIST implementation. In pseudorandom BIST architectures, the test patterns are generated in random nature by linear feedback shift registers. This normally requires more number of test patterns for testing the architectures which need … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 21 Jul 2012 · 7,357 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow Transition-Generalized Linear Feedback Shift Register Based Test Pattern Generator Architecture for Built-in-Self-TestP. Sakthivel, A. Nirmal KumarProblem statement: In Built-In Self-Test (BIST), test patterns are generated and applied to the Circuit-Under-Test (CUT) by on-chip hardware; minimizing hardware overhead is a major concern of BIST implementation. In pseudorandom BIST architectures, the test patterns are generated in random nature by Linear Feedback Shift Registers. This normally requires more number of test patterns for testing the architectures which need … …Journal of Computer Science, Vol. 8, Issue 6 · 13 Mar 2012 · 7,765 accessesView PDFCite
Research ArticleOpen accessIn the abstractMalware Detection Based on Hybrid Signature Behaviour Application Programming Interface Call GraphAmmar Ahmed E. Elhadi, Mohd Aizaini Maarof, Ahmed Hamza OsmanProblem statement: A malware is a program that has malicious intent. Nowadays, malware authors apply several sophisticated techniques such as packing and obfuscation to avoid malware detection. That makes zero-day attacks and false positives the most challenging problems in the malware detection field. Approach: In this study, the static and dynamic analysis techniques that are used in malware detection are … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 9 Jan 2012 · 9,144 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast Algorithms for Discovering Sequential Patterns in Massive DatasetsS. Dharani, Justus Rabi, Nanda Kumar, DarlyProblem statement: Sequential pattern mining is one of the specific data mining tasks, particularly from retail data. The task is to discover all sequential patterns with a user-specified minimum support, where support of a pattern is the number of data-sequences that contain the pattern. Approach: To find a sequence patterns variety of algorithm like AprioriAll and Generalized Sequential Patterns (GSP) … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,280 accessesView PDFCite