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Search Results: 1 - 10 of 32 matches for " Palanivel "
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Cobalt Recovery from Waste Catalysts (Petroleum Refining Industry from Gujarat)  [PDF]
Palanivel Sivasakthi, Natarajan Sathaiyan
Open Journal of Metal (OJMetal) , 2012, DOI: 10.4236/ojmetal.2012.21004
Abstract: A hydrometallurgical process has been developed for cobalt recovery from a waste catalyst (petroleum refining industry). This waste catalyst containing about 2.18 weight % of Co, is highly contaminated by Mg, Al, Si, Ca, Fe, Ni, Cu, Zn, Mo. The major steps are: (I) The spent catalyst is roasted with flux material in an electrical furnace at very high temperature (700?C) for a specific duration. (II) The roasted sample is leached with sulphuric acid to bring the metal contents into solution form. (III) For separating cobalt values from the leach solution, the solution pH is raised by NaOH addition, where all cobalt content is precipitated at a pH of about 12. (IV) This cobalt hydroxide precipitate is filtered and dissolved in minimum amount of sulphuric acid to get cobalt sulphate solution which is used as the electrolyte for the electrolytic recovery of cobalt. For optimizing various parameters like (1) H2SO4 concentration; (2) Duration; (3) Cobalt concentration; (4) Current density; (5) Temperature; (6) Stirring etc., The particle surface morphology and deposited layers have been characterized by scanning electron microscopy (SEM). A compact metallic deposit containing 70% cobalt was obtained.
An Integrated Face Tracking and Facial Expression Recognition System  [PDF]
Angappan Geetha, Venkatachalam Ramalingam, Sengottaiyan Palanivel
Journal of Intelligent Learning Systems and Applications (JILSA) , 2011, DOI: 10.4236/jilsa.2011.34023
Abstract: This article proposes a feature extraction method for an integrated face tracking and facial expression recognition in real time video. The method proposed by Viola and Jones [1] is used to detect the face region in the first frame of the video. A rectangular bounding box is fitted over for the face region and the detected face is tracked in the successive frames using the cascaded Support vector machine (SVM) and cascaded Radial basis function neural network (RBFNN). The haar-like features are extracted from the detected face region and they are used to create a cascaded SVM and RBFNN classifiers. Each stage of the SVM classifier and RBFNN classifier rejects the non-face regions and pass the face regions to the next stage in the cascade thereby efficiently tracking the face. The performance of tracking is evaluated using one hour video data. The performance of the cascaded SVM is compared with the cascaded RBFNN. The experiment results show that the proposed cascaded SVM classifier method gives better performance over the RBFNN and also the methods described in the literature using single SVM classifier [2]. While the face is being tracked, features are extracted from the mouth region for expression recognition. The features are modelled using a multi-class SVM. The SVM finds an optimal hyperplane to distinguish different facial expressions with an accuracy of 96.0%.
A SERVICE VERSIONING MODEL FOR PERSONALIZED E- LEARNING SYSTEM
K. PALANIVEL,,S. KUPPUSWAMI
International Journal of Engineering Science and Technology , 2010,
Abstract: Service Versioning is a hot topic that has generated a broad range of guidance from a variety of sources. Several Web services standardization efforts are underway but none of them address the problem of service versioning. Service versioning with metadata in e-learning system makes easy search, retrieval, import and evaluate. In Elearning systems, learning objects with metadata allow the learners to use quality educational contents filling their characteristic and teacher may use quality educational contents to structure their courses. A service versioning model in e-learning objects system with metadata satisfies the requirements for learningenvironment. In personalized e-learning systems, when more numbers of learner searching data the retrieval time is being delayed when the data volume is increasing continuously. This problem can be solved bydesigning and applying a proper service versioning model to ersonalized e-learning systems. Hence, it is proposed to design a service version model with metadata for personalized e-learning system. This proposed service versioning model satisfies some of the requirements like accessibility, interoperability, adaptability,durability and reusability in learning environment. Support multiple versions of a service isolate more expensive business behavior calls to specific versions so as to reduce impact to all of the other learners.
Spoken Word Recognition Strategy for Tamil Language
An. Sigappi,S. Palanivel
International Journal of Computer Science Issues , 2012,
Abstract: This paper outlines a strategy for recognizing a preferred vocabulary of words spoken in Tamil language. The basic philosophy is to extract the features using mel frequency cepstral coefficients (MFCC) from the spoken words that are used as representative features of the speech to create models that aid in recognition. The models chosen for the task are hidden Markov models (HMM) and autoassociative neural networks (AANN). The HMM is used to model the temporal nature of speech and the AANNs to capture the distribution of feature vectors in the feature space. The created models provide a way to investigate an unexplored speech recognition arena for the Tamil language. The performance of the strategy is evaluated for a number of test utterances through HMM and AANN and the results project the reliability of HMM for emerging applications in regional languages.
Improved Performance by Parametrizing Wavelet Filters for Digital Image Watermarking
Mangaiyarkarasi Palanivel,Arulselvi Shanmugam
Signal & Image Processing , 2012,
Abstract: In recent years, watermarking has become an attractive field in areas like copyright protection, imageauthentication and biomedical engineering. Many literatures have reported about discrete wavelet transform (DWT) watermarking techniques for data security. However, DWT based watermarking schemes are found to be less robust against image processing attacks. In this paper, an attempt is made to develop a scheme based on Redundant Discrete Wavelet Transform (RDWT). The robustness and security of the proposed RDWT scheme is improved by parametrizing the scaling and wavelet filters by Pollen’s parametrizing technique. An Independent Component Analysis (ICA) based detector is also applied, whichextracts watermark directly in spatial domain rather than in transform domain. The unique feature of ICA is that it does not require any transformation during extraction. The results reveal that the proposedscheme produces high peak signal to noise ratio (PSNR) values and similarity measure under various image processing attacks.
The mineralogical and fabric analysis of ancient pottery artifacts
Palanivel, R.;Rajesh Kumar, U.;
Ceramica , 2011, DOI: 10.1590/S0366-69132011000100008
Abstract: the present investigation is carried out to estimate the firing temperature and conditions of firing of ancient pottery shreds excavated recently from sembiankandiyur, tamil nadu, india. ftir and xrd studies have been attempted on these shreds to characterize the mineral composition of the pottery artifacts in respect of their different physical attributes. the firing temperature and conditions were inferred from the mineral phases of the samples exhibited by the infrared spectra and x-ray diffractograms recorded in as received state. tg-dta is the complementary technique to elucidate the firing temperature from the thermal characteristic reactions such as dehydration, decomposition and transformations of minerals under the controlled firing of the samples in inert atmosphere.
Challenges in Achieving Food Security in India
R Prakash Upadhyay,C Palanivel
Iranian Journal of Public Health , 2011,
Abstract: First Millennium Development Goal states the target of "Halving hunger by 2015". Sadly, the recent statistics for India pre-sent a very gloomy picture. India currently has the largest number of undernourished people in the world and this is in spite of the fact that it has made substantial progress in health determinants over the past decades and ranks second world-wide in farm output. The causes of existing food insecurity can be better viewed under three concepts namely the: ‘tradi-tional con-cept' which includes factors such as unavailability of food and poor purchasing capacity; ‘socio-de-mographic concept' which includes illiteracy, unemployment, overcrowding, poor environmental conditions and gender bias; ‘politico-devel-opmental concept' comprising of factors such as lack of intersectoral coordination and political will, poorly monitored nu-tritional programmes and inadequate public food distribution system. If the Millennium Development Goal is to be achieved by 2015, efforts to improve food and nutrition security have to increase considerably. Priority has to be assigned to agricul-ture and rural development along with promoting women empowerment, ensuring sustainable employ-ment and im-proving environmental conditions (water, sanitation and hygiene). As the problem is multi-factorial, so the solu-tion needs to be multi-sectoral.
Antioxidant activity of the stem bark of Shorea roxburghii and its silver reducing power
Ramasamy Subramanian, Palanivel Subbramaniyan and Vairamuthu Raj
SpringerPlus , 2013, DOI: 10.1186/2193-1801-2-28
Abstract: A detailed study has been performed on the antioxidant activity of the acetone and methanol extracts of the stem bark of the plant, Shorea roxburghii. The total phenolic content and antioxidant activity of the extracts were determined by DPPH, radical scavenging, ferric ion reducing power, hydroxyl radical, ABTS. radical scavenging and hydrogen peroxide scavenging activities. Reducing efficiency of the S. roxburghii towards silver nanoparticles has been evaluated using surface plasmon resonance and transmission electron microscope. Spherical shapes of particles with 4–50 nm have been reported. Formation of silver nanoparticles ascertains the role of the water soluble phenolic compounds present in S. roxburghii. Both acetone and methanol extracts of S. roxburghii stem bark was found to be a potent antioxidant. This work provides a scientific support for the high antioxidant activity of this plant and thus it may find potential applications in the treatment of the diseases caused by free radical. The extract of this plant could be used as a green reducing agent for the synthesis of Ag nanoparticles.
Audio_Video Based Segmentation and Classification Using SVM
K. Subashin,S. Palanivel,V. Ramaligam
Asian Journal of Information Technology , 2012, DOI: 10.3923/ajit.2012.30.35
Abstract: This study presents a method to classify audio-video data into one of seven classes: advertisement, cartoon, news, movie and songs. Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data. The color histogram features extracted from the images in the video clips are used as visual features. Support vector machine is used for audio and video segmentation and classification. The experiments on different genres illustrate the results of segmentation and classifications are significant and effective. Experimental results of audio classification and video segmentation and classification results are combined using weighted sum rule for audio-video based classification. The method classifies the audio-video clips with an accuracy of 95.79%.
A Text to Speech Interface for a Digital Library
N. Puviarasan,P. Aruna,S. Palanivel
International Journal of Soft Computing , 2012,
Abstract: This study focuses on design and implementation of Text to Speech (TTS) system, for converting English text into speech signal. It generates speech from the phonetic transcripts of text. It comprises of digitization and text-to-speech generation. The objective of Text to Speech Interface for a Digital Library (TT SIDL) is to store the information of the book in the digital format. Then, a text to speech system would enable to access the digital content of text and produce its corresponding voice. It helps to illiterate and vision-impaired people, for hearing and quick understanding of the contents of the book. This system involves various processes like text-normalization subsuming sentence segmentation and normalization of non-standard words, statistical Part-Of-Speech tagging (POS), grapheme-to-phoneme conversion and prosodic analysis. Subsequently, the system allows the user to select the required text and generates the speech, which has good quality in naturalness and intelligibility.
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