http://hdl.handle.net/123456789/152 2013-05-18T19:29:15Z http://hdl.handle.net/123456789/984 Title: Alignment Model and Training Technique in SMT from English to Malayalam Authors: Sebastian, Mary Priya; Kurian, Sheena; Kumar, G Santhosh Abstract: This paper investigates certain methods of training adopted in the Statistical Machine Translator (SMT) from English to Malayalam. In English Malayalam SMT, the word to word translation is determined by training the parallel corpus. Our primary goal is to improve the alignment model by reducing the number of possible alignments of all sentence pairs present in the bilingual corpus. Incorporating morphological information into the parallel corpus with the help of the parts of speech tagger has brought around better training results with improved accuracy. 2010-08-29T18:30:00Z http://hdl.handle.net/123456789/294 Title: DNA sequence representation methods Authors: Santhosh Kumar, G; Shiji, S H Abstract: DNA sequence representation methods are used to denote a gene structure effectively and help in similarities/dissimilarities analysis of coding sequences. Many different kinds of representations have been proposed in the literature. They can be broadly classified into Numerical, Graphical, Geometrical and Hybrid representation methods. DNA structure and function analysis are made easy with graphical and geometrical representation methods since it gives visual representation of a DNA structure. In numerical method, numerical values are assigned to a sequence and digital signal processing methods are used to analyze the sequence. Hybrid approaches are also reported in the literature to analyze DNA sequences. This paper reviews the latest developments in DNA Sequence representation methods. We also present a taxonomy of various methods. A comparison of these methods where ever possible is also done 2010-06-21T18:30:00Z http://hdl.handle.net/123456789/293 Title: Routing Protocol Enhancement for handling Node Mobility in Wireless Sensor Networks Authors: Santhosh Kumar, G; Vinu Paul, M V; Poulose Jacob, K; Athithan, G Abstract: In wireless sensor networks, the routing algorithms currently available assume that the sensor nodes are stationary. Therefore when mobility modulation is applied to the wireless sensor networks, most of the current routing algorithms suffer from performance degradation. The path breaks in mobile wireless networks are due to the movement of mobile nodes, node failure, channel fading and shadowing. It is desirable to deal with dynamic topology changes with optimal effort in terms of resource and channel utilization. As the nodes in wireless sensor medium make use of wireless broadcast to communicate, it is possible to make use of neighboring node information to recover from path failure. Cooperation among the neighboring nodes plays an important role in the context of routing among the mobile nodes. This paper proposes an enhancement to an existing protocol for accommodating node mobility through neighboring node information while keeping the utilization of resources to a minimum. 2010-06-21T18:30:00Z http://hdl.handle.net/123456789/292 Title: MOTION SEGMENTATION AND MEANSHIFT ASSISTED CONTOUR REFINEMENT FOR AIRBORNE VIDEO Authors: Santhosh Kumar, G; Ratheesh, K; Supria Rao Abstract: This paper presents methods for moving object detection in airborne video surveillance. The motion segmentation in the above scenario is usually difficult because of small size of the object, motion of camera, and inconsistency in detected object shape etc. Here we present a motion segmentation system for moving camera video, based on background subtraction. An adaptive background building is used to take advantage of creation of background based on most recent frame. Our proposed system suggests CPU efficient alternative for conventional batch processing based background subtraction systems. We further refine the segmented motion by meanshift based mode association 2010-06-21T18:30:00Z