R. Manavalan

Periyar University, Selam, Tamil Nadu, India

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Publications (257)90.9 Total impact

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    ABSTRACT: This issue includes the following articles; P1150847487 B. Nagarajan and P. Balasubramanie Hybrid Feature based Object Classification with Cluttered Background Combining Statistical and Central Moment Textures P1150906627 Rajeev Ratan and Sanjay Sharma and S. K. Sharma Brain Tumor Detection based on Multi-parameter MRI Image Analysis P1150847509 G. Khaissidi and H. Tairi and A. Aarab A fast medical image registration using feature points P1150804003 K. Thangavel and R. Manavalan and I. Laurence Aroquiaraj Removal of Speckle Noise from Ultrasound Medical Image based on Special Filters: Comparative Study P1150846481 C.Lakshmi Deepika and A.Kandaswamy An Algorithm for Improved Accuracy in Unimodal Biometric Systems through Fusion of Multiple Feature Sets P1150905607 Jun Zhang and Jinglu Hu Automatic Segmentation Technique for Color Images
    Full-text · Dataset · Nov 2015
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    ABSTRACT: Earliest detection and diagnosis of breast cancer reduces mortality rate of patients by increasing the treatment options. A novel method for the segmentation of breast ultrasound images is proposed in this work. The proposed method utilizes undecimated discrete wavelet transform to perform multiresolution analysis of the input ultrasound image. As the resolution level increases, although the effect of noise reduces, the details of the image also dilute. The appropriate resolution level, which contains essential details of the tumor, is automatically selected through mean structural similarity. The feature vector for each pixel is constructed by sampling intra-resolution and inter-resolution data of the image. The dimensionality of feature vectors is reduced by using principal components analysis. The reduced set of feature vectors is segmented into two disjoint clusters using spatial regularized fuzzy c-means algorithm. The proposed algorithm is evaluated by using four validation metrics on a breast ultrasound database of 150 images including 90 benign and 60 malignant cases. The algorithm produced significantly better segmentation results (Dice coef = 0.8595, boundary displacement error = 9.796, dvi = 1.744, and global consistency error = 0.1835) than the other three state of the art methods.
    No preview · Article · Nov 2015 · Ultrasonic Imaging
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    ABSTRACT: Ultrasound is a reliable technique for the early detection and diagnosis of breast cancer. Breast cancer is the second leading cancer responsible for the highest rate of mortality among women around the world. Earliest detection and diagnosis is proved to be the only way of curbing the breast cancer and to reduce the mortality rate. The automated Computer Aided Diagnosis systems are helpful for the physicians in diagnosing the presence of breast lesions and classifying them into benign and malignant. Methods proposed in diverse articles for preprocessing, segmentation, feature extraction and classification of breast lesions are reviewed and presented in this paper. Algorithms and databases employed at every stage of automated processing and evaluation parameters along with the results are also investigated.
    No preview · Article · Jun 2014 · Journal of Medical Imaging and Health Informatics
  • P. Prasath · K. Perumal · K. Thangavel · R. Manavalan
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    ABSTRACT: Gene datasets from microarray comprise large number of genes. Clustering is a widely used approach for grouping similar kind of genes. The main objective of this paper is to identify the optimal subset of genes from the leukemia dataset in order to classify the leukemia cancer. Different clustering approaches such as K-means (KM) clustering, fuzzy C-means (FCM) clustering, and modified K-means (MKM) clustering have been adopted in this research. The clusters obtained from these methods are further clustered using K-means sample-wise (by omitting class values), and the results are compared with ground truth value to evaluate the performance of the different clustering methods. The highly correlated genes are selected from the cluster that produces more accurate classification results. It is observed that the FCM (gene-wise clustering) with K-means (sample-wise clustering) produces better accuracy, and the resultant genes have been identified.
    No preview · Article · Jan 2014
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    ABSTRACT: Export Date: 18 October 2014
    No preview · Article · Jan 2014 · International Journal of Pharma and Bio Sciences

  • No preview · Article · Jan 2014
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    ABSTRACT: Much work has been done on classification for the past fifteen years to develop adapted techniques and robust algorithms. The problem of data correction in the presence of simultaneous sources of drift, other than sensor drift, should also be investigated, since it is often the case in practical situations. ELM is a competitive machine learning technique, which has been applied in different domains for classification. In this paper, ELM with different activation functions has been implemented for gas sensor array drift dataset. The experimental results show that the ELM with bipolar function classifies the drift dataset with an average accuracy of 96% than the other function. The proposed method is compared with SVM.
    Full-text · Article · Jan 2014
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    Full-text · Article · Dec 2013 · International Journal of Computer Applications
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    M. Thangarasu · R. Manavalan
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    ABSTRACT: Stemming is the process of extracting root word from the given inflection word and also plays significant role in numerous application of Natural Language Processing (NLP). Tamil Language raises several challenges to NLP, since it has rich morphological patterns than other languages. The rule based approach light-stemmer is proposed in this paper, to find stem word for given inflection Tamil word. The performance of proposed approach is compared to a rule based suffix removal stemmer based on correctly and incorrectly predicted. The experimental result clearly show that the proposed approach light stemmer for Tamil language perform better than suffix removal stemmer and also more effective in Information Retrieval System (IRS).
    Full-text · Article · Oct 2013
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    M. Thangarasu · R. Manavalan
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    ABSTRACT: Stemming is the process of extracting root word from the given inflection word. It also plays significant role in numerous application of Natural Language Processing (NLP). The stemming problem has addressed in many contexts and by researchers in many disciplines. This expository paper presents survey of some of the latest developments on stemming algorithms in data mining and also presents with some of the solutions for various Indian language stemming algorithms along with the results.
    Full-text · Article · Aug 2013
  • K. Thangavel · R. Manavalan
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    ABSTRACT: Ultrasound imaging is the most suitable method for early detection of prostate cancer. It is very difficult to distinguish benign and malignant nature of the affliction in the early stage of cancer. This is reflected in the high percentage of unnecessary biopsies that are performed and many deaths caused by late detection or misdiagnosis. A computer based classification system can provide a second opinion to the radiologists. Generally, objects are described in terms of a set of measurable features in pattern recognition. The selection and quality of the features representing each pattern will have a considerable bearing on the success of subsequent pattern classification. Feature selection is a process of selecting the most wanted or dominating features set from the original features set in order to reduce the cost of data visualization and increasing classification efficiency and accuracy. The region of interest (ROI) is identified from transrectal ultrasound (TRUS) images using DBSCAN clustering with morphological operators after image enhancement using M3-filter. Then the 22 grey level co-occurrence matrix features are extracted from the ROIs. Soft computing model based feature selection algorithms genetic algorithm (GA), ant colony optimization (ACO) and QR are studied. In this paper, QR-ACO (hybridization of rough set based QR and ACO) and GA-ACO (hybridization GA and ACO) are proposed for reducing feature set in order to increase the accuracy and efficiency of the classification with regard to prostate cancer. The selected features may have the best discriminatory power for classifying prostate cancer based on TRUS images. Support vector machine is tailored for evaluation of the proposed feature selection methods through classification. Then, the comparative analysis is performed among these methods. Experimental results show that the proposed method QR-ACO produces significant results. Number of features selected using QR-ACO algorithm is minimal, is successful and has high detection accuracy.
    No preview · Article · Jun 2013 · Soft Computing
  • V. Parthasarathy · R. Manavalan
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    ABSTRACT: Ultraviolet/visible and infrared studies were carried out with the mixture of sparfloxacin and various polymer bases namely, ethyl cellulose: polyethylene glycol (EC:PEG), ethyl cellulose:hydroxy propylmethyl cellulose (EC:HPMC) and ethyl cellulose:eudrajit (EC:EUD). The amount of drug release for every 24 h was estimated through UV/visible spectroscopy. The study showed that the drug release rate is related to the binding of the drug to the base. The IR spectrum of the samples provides the information about the strength of bonding between the drug and bases.
    No preview · Article · Jan 2013 · Asian Journal of Chemistry
  • V. Parthasarathy · G.S. Prasad · R. Manavalan
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    ABSTRACT: It has been well established that microorganisms are virtually an unlimited source of natural products, many of which have potential therapeutic applications. Among the various organisms the filamentous soil bacteria of the genus Streptomyces are remarkable and are considered as a potential source of important bioactive compounds. In the present study we have isolated actinomycetes from six locations in Neyveli lignite mine area, Tamilnadu, India and tested for their antagonistic activity. Seven isolates, which possess good antagonistic activity against bacterial and fungal pathogens, were selected and all the isolates represented the genus Streptomyces. The isolates have been identified up to the species level as per ISP procedures. The results of the study prove that the lignite mines are very promising zone for potential actinomycetes.
    No preview · Article · Jan 2013 · Lecture Notes in Electrical Engineering
  • M. Amudha · S. Rani · K. Kannan · R. Manavalan
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    ABSTRACT: Infertility is the disorder which can alter the mankind and also the man mind to cause major problems. Infertility i.e. childlessness causes physical and mental worries which can obstruct the family happiness. Male and female fertility can be limited or diminished by number of factors such as hormone imbalance, illness and infections on reproductive organs, obstruction or sexual dysfunction. In this scientific era, infertility is also caused by lack of healthy food, stressful world, excess radiation, changing lifestyle, exposure to various toxins, smoking, addiction to alcohol and drugs. This review deals with fertilization, implantation and infertility. It also deals with the factors which cause infertility and diagnosis and management of infertility in both male and female. This review will be more useful not only to the scientific people and also normal peoples.
    No preview · Article · Jan 2013 · International Journal of Pharmaceutical Sciences Review and Research
  • P. Palanisamy · Perumal · K. Thangavel · R. Manavalan
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    ABSTRACT: DNA microarray technologies are leading to an explosion in available gene expression data which simultaneously monitor the expression pattern of thousands of genes. All the genes may not be biologically significant in diagnosing the disease. In this paper, a novel approach has been proposed to select significant genes of leukemia cancer using K-Means clustering algorithm. It is an unsupervised machine learning approach, which is being used to identify the unknown patterns from the huge amount of data. The proposed K-Means algorithm has been experimented to cluster the genes for K=5,10 and 15. The significant genes have been identified through the best accuracy obtained from the clusters generated. The accuracy of the clusters are determined again by using K-Means algorithm compared with ground truth values.
    No preview · Conference Paper · Jan 2013
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    Sakthivel M · Kannan K · Manavalan R · Senthamarai R
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    ABSTRACT: The purpose of this research work was to prepare Oxcarbazepine niosomes to improve the anticonvulsant activity. The nonionic surfactant vesicles were prepared by the thin film hydration method. The lipid mixture consists of drug, cholesterol, and surfactant in the molar ratio of 1:1:3 respectively to achieve prolonged circulation time and sustained release. The in vivo study revealed that the prepared niosomal dispersion shows improved anticonvulsant activity of Oxcarbazepine in albino wistar rats. After a single dose of the niosomal dispersion, it showed significant increase in the mean residence time (MRT) of Oxcarbazepine reflecting sustained release characteristics. In conclusion the niosomal formulation could be a promising delivery system for Oxcarbazepine with improved anticonvulsant activity, oral and prolonged drug release profiles.
    Full-text · Article · Jan 2013 · Journal of Pharmaceutical Sciences and Research
  • P. Perumal · T. Sivakkumar · N. Kannappan · R. Manavalan
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    ABSTRACT: Objective; To synthesize the series of 2, 6 disubstituted piperidine-4-one derivatives, characterization by IR, 1H-NMR and Mass spectroscopy and evaluated for antimicrobial activity at two concentrations by disc diffusion method. Method; Mannich reaction (condensation method). Results; The compound 1(DALI) possessed highly potent antibacterial activity against gram positive bacteria and all the compounds possessed antifungal activity against aspergillus niger. Conclusion; A new series of 2,6 disubstituted piperidine 4 one derivatives were synthesized, characterized and exhibited promising antibacterial and antifungal activity at both concentrations.
    No preview · Article · Jan 2013 · International Journal of Pharmacy and Pharmaceutical Sciences
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    ABSTRACT: The objective in wound management is to heal the wound in the shortest time possible, without infection and fast wound closure.This investigation is to check the rationale behind the traditional use of leaves of Wrightia tinctoria by evaluating the wound healing property of formulated ointment containing Wrightia tinctoria which may facilitate in vivo quantification of skin curative property of the ointment.Controlled wound healing efficacy studies were done on Guinea pig model with incision and excision wounds. Suitable ointment base was selected by Preformulation studies. The ointment was prepared by melt pour and mixing technique with incorporation of Wrightia tinctoria extract in coconut oil. The wound healing effects of the formulations were compared to that of 0.2% w/w nitrofurazone ointment. A better healing pattern with complete wound closure was observed with the treated groups in contrast to the control group. The total epithelization period was 14 days (allopathic control and Wrightia tinctoria ointment) with 19 days for ointment base. The wound contraction to 50% took 6.3 days (allopathic control), 6.5 days (Wrightia tinctoria ointment), against 12.7 days for ointment base. The tensile strength of the test was almost the same as standard ointment. Increased wound breaking strength indicates increase in collagen strength and obviously facilitating wound healing, thus proving that Wrightia tinctoria ointment could be used for wound healing as a safe alternative to synthetic drug ointments.
    No preview · Article · Jan 2013
  • M. Manikandan · K. Kannan · R. Manavalan
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    ABSTRACT: Objective: For the design and development of any novel formulation, assessment of drug - excipients compatibility using different techniques such as thermal and isothermal stress testing, represents an important phase in preformulation stage. The potential physical and chemical interactions between the drug and excipients can affect the chemical nature, stability, bioavailability of drugs and subsequently, affects their therapeutic efficacy and safety. Method: To assess the drug - excipients compatibility, the analytical techniques like Differential Scanning Calorimetry (DSC), Fourier Transform Infrared Spectroscopy (FTIR) and Isothermal Stress Testing (IST) were adopted. In the present study, the possible interaction between the Camptothecin with Eudragit S 100, β Cyclodextrin and Poloxamer 188 were evaluated initially by DSC. The drug and each excipient (1:1 w/w) were stored at 40 ± 2°C and 75 ± 5 % RH for 1 month. Results: The FTIR spectrum of pure drug, excipients and drug - excipients mixtures were compared to find out the possible interaction. Stressed binary mixtures (stored at 50°C for 2 weeks) were periodically examined for any change in colour and the drug content was determined quantitatively using HPLC. No concrete evidence of interaction was observed between drug and the excipients. Conclusion: On the basis of the results obtained from DSC, FTIR and IST studies, all the excipients used were found to be compatible with the drug and can be used for the development of Nanoparticles formulation.
    No preview · Article · Jan 2013 · International Journal of Pharmacy and Pharmaceutical Sciences
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    ABSTRACT: Low-density lipoprotein cholesterol (LDL-C) remains the primary target of lipid-lowering therapy. Achieving LDL-C goals as outlined by the National Cholesterol Education Program Adult Treatment Panel III can be difficult with statins alone; therefore, adjunctive therapy is often indicated to reduce cardiovascular risk. This review provides an overview of beneficial effects of ezetimibe in patients with dyslipidemia when attempting to normalize serum lipid profiles and reduce risk for cardiovascular disease. Ezetimibe, a potent inhibitor of intestinal cholesterol absorption, has been shown to be safe, tolerable and effective at lowering LDL-C, non-high-density lipoprotein cholesterol and apolipoprotein B, each of which has been correlated with improved clinical outcomes, alone or in combination with a statin. Ezetimibe coadministered with statins, a dual inhibition treatment strategy that targets both cholesterol absorption and synthesis, is an effective therapeutic option for dyslipidemia.
    Full-text · Article · Dec 2012

Publication Stats

1k Citations
90.90 Total Impact Points

Institutions

  • 2013
    • Periyar University
      • Department of Computer Science
      Selam, Tamil Nadu, India
  • 1999-2012
    • Annamalai University
      • • Department of Pharmacy
      • • Faculty of Engineering and Technology
      Anamalainagar, Tamil Nādu, India
  • 2006-2007
    • Sri Ramakrishna Institute of Paramedical Sciences
      • College of Pharmacy
      Koyambattūr, Tamil Nadu, India