IJETE
Call for papers , Manuscript submission last date 30th April 2018. Send to ijete.editor@ijete.org

Volume1 Issue1 January 2014 Edition

  

A SURVEY ON ROBUST TECHNIQUE FOR HUMAN FACIALEXPRESSION RECOGNITION
E.M.Uma selvi, Professor Mr.P.Kannan
pp 1-6
Abstract: The recognition of facial expression from images or videos even in various illumination condition and even it suffers from geometrical attacks have attracted great attention in computer vision field. Facial activities can be characterized by three levels to have better tracking performance. First, in the bottom level, facial feature points around each facial component, i.e., mouth, nose etc., Second, in the middle level, facial action units, are represented i.e., nose wrinkler, cheek raiser, etc. Finally, in the top level, six prototypical facial expressions are represented and are commonly used to describe the human emotion states. Several authors proposed many techniques to track and recognize facial expressions. Among them this paper investigates 5 facial expression tracking techniques. From the comparison the detection using proposed technique performs better than the existing method.
CONGLOMERATION OF REFLECTION SEPARATION METHODS
P.Santhana Kumari, Professor Mr.K.Madhan Kumar,
pp 7-14
Abstract: Reflection arises when the photograph of an object is taken, which is placed behind the glass. The object also has other reflection problem like surface reflection. Reflection is the major problem, it can be eliminated by using many algorithms. Yet they have some disadvantages. The recently used constrained optimization technique will overcome those drawbacks. It formulates the reflection separation as a energy minimization function .Energy function is derived from Baye’s rule for a maximum a posteriori (MAP) estimate. This appraisal discusses all the existing methods used in reflection separation and their performance analysis.
SIGNAL DEGRADATION IN OPTICAL FIBERS
Gyan Prakash Pal, Manishankar Gupta,
pp 15-19
Abstract: Dispersion is the spreading of a light pulse as it propagates down the fiber. Since optical fiber is a waveguide, light can propagate in a number of modes. If a fiber is of large diameter, light entering at different angles will excite different modes while narrow fiber may only excite one mode. Multimode propagation will cause dispersion, which results in the spreading of pulses and limits the usable bandwidth. Single-mode fiber has much less dispersion but is more expensive to produce. Its small size, together with the fact that its numerical aperture is smaller than that of multimode fiber, makes it more difficult to couple to light sources.Dispersion distorts both pulse and analog modulation signals.
FEATURE BASED CLASSIFIATION OF LUNG TISSUES FOR LUNG DISEASE DIAGNOSIS
V.Lakshmi, P.Krisnaveni, S.Ellammal,
pp 20-27
Abstract: In this paper, a new method for Lung tissue Classification using Patch adaptive sparse approximation with two feature descriptors is proposed. Operator assisted classification methods are impractical for large amounts of data .High resolution Computed Tomography images contain a noise caused by operator performance which can lead to serious inaccuracies in classification. We design two new feature descriptors for higher feature descriptiveness, namely the rotation-invariant Gabor-local binary patterns (RGLBP) texture descriptor and multi-coordinate histogram of oriented gradients (MCHOG) gradient descriptor. Each image patch is then labeled based on its feature approximation from reference image patches. Decision making was performed in two steps i) Feature extraction using the two feature descriptors ii) classification using Patch adaptive sparse approximation.
COMPARISON OF PALM OIL AND JATROPHACURCAS SEED OIL FOR BIODIESEL PRODUCTION IN NIGERIA USING BULK CAO CATALYST
Haruna Ibrahim, Chika Ezeanyanso, AminuHayatudeen, Deborah C.U. Nwakuba,Olabode Olabimtan,Aminu A. Amina M. Ibrahim,
pp 28-32
Abstract: Biodiesel is a renewable, biodegradable and environmental benign liquid fuel capable of replacing fossil diesel. A study on comparison of biodiesel processing raw materials was carried out with palm oil and Jatrophacurcasoilusing calcium oxide catalyst to determine which should be relied upon for biodiesel production. At 600C and 90 minutes of reaction time, the yields of 86.41% and 99.08% for palm oil and Jatrophacurcas oil were obtained respectively. The results obtained at650C and 75 minutes were 89.41% and 96.93% for palm oil and Jatrophacarcass oil respectively.For all the reactions the mole ratio of methanol to oil was 5.5:1 and the quantity of catalyst used was 1.5% w/w of oil. The methyl ester contents were analyzed with GC-MS.Jatrophacurcasseed oil gave higher yield but it highly acidic which require more energy, time and materials to refine.