Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Rama, N.
- An Intelligent Tool for the Characterization of Anaemic Blood and to Find the Therapeutic Effect of Erythropoietin Using Spectral Data
Abstract Views :451 |
PDF Views:66
Authors
Affiliations
1 Dept. of Computer Sci. & Applications; 3 Spectrophysics Res. Lab., Pachaiyappa’s College, Chennai-600030, IN
2 Dept. of Computer Science, Presidency College, Chennai-600005, IN
3 Spectrophysics Res. Lab., Pachaiyappa’s College, Chennai-600030, IN
1 Dept. of Computer Sci. & Applications; 3 Spectrophysics Res. Lab., Pachaiyappa’s College, Chennai-600030, IN
2 Dept. of Computer Science, Presidency College, Chennai-600005, IN
3 Spectrophysics Res. Lab., Pachaiyappa’s College, Chennai-600030, IN
Source
Indian Journal of Science and Technology, Vol 2, No 8 (2009), Pagination: 32-34Abstract
Anaemia is a common problem in Chronic Kidney Disease (CKD) leading to substantial morbidity and mortality if untreated. The particular cells of the failing kidney are unable to secrete sufficient erythropoietin, the harmone that stimulates erythropoiesis. Treatment of anaemia with erythropoiesisstimulating agents (ESA) has led to increased quality of life and a reduced cardiovascular risk. Therefore anaemic blood has to be identified and proper treatment has to be given. Though investigations on characterisation of anaemic blood and therapeutic effect of erythropoietin in CKD have been done by many, not much work is done on automation of this investigations. The goal of this study is to train the System (Neural Network [NN]) to identify whether the given blood sample is anaemic blood or not and also to examine prospectively the effect of erythropoietin in anaemic patients using the System which is already trained to identify the anaemic blood.Keywords
Anaemia, Erythropoietin, Chronic Kidney Disease, Neural NetworkFull Text
References
- Djodilatchoumy S, Rama N and Gunasekaran S (2008) An intelligent system for the characterization of chronic renal failure blood and study on the efficacy of Simvastatin. Intl. J. Algorithms, Comp.& Maths. 1(2), 7-12.
- Dreicher R and Horl WH (2004) Differentiating factors between erythropoiesis-stimulating agents. Drugs. 64, 499-599.
- Locatelli F, Alijama P, Barany P, Canaud B, Carrera F, Eckkardtc KU et al. (2004) Revised European best practice guidelines for the management of anaemia in patients with chronic renal failure. Nephrol. Dial. Transplant. 19 (Suppl. 2),1-47.
- Renal Association: Adult Section 7 (2002) Anaemia in patients with chronic renal failure. Treatement of adults and children with renal failure. Standards and adult measures. 3rd edition. London, Royal College of Physicians. www.renal.org/Standards/RenalSt andards_2002b.pdf
- Ronald J. Gerstle, Stephen R. Aylward, Sharon Kromhour-Schiro and Suresh K. Mukherji (2000). The role of neural networks in improving the accuracy of MR spectroscopy for the diagnosis of head and neck squamous cell carcinoma, Am. J. Neuroradiol. 21, 1133-1138.
- Shaw RA, Korawich S, Leroux M and Mantsch H (1998) Multianalyte serum analysis using mid-infra red spectroscopy. Ann. Clin. Biochem. 35, 624-632.
- Neural Network based Image Compression for Memory Consumption in Cloud Environment
Abstract Views :199 |
PDF Views:0
Authors
Affiliations
1 Bharathiyar University, Coimbatore - 641 046, Tamil Nadu, IN
2 Presidency College, Chennai - 600005, IN
1 Bharathiyar University, Coimbatore - 641 046, Tamil Nadu, IN
2 Presidency College, Chennai - 600005, IN
Source
Indian Journal of Science and Technology, Vol 8, No 15 (2015), Pagination:Abstract
Background/Objectives: The Main aim of this Hybrid Image compression method is that it should provide good picture quality, better compression ratio and also it can remove block artifacts in the reconstructed image. Methods/Statistical analysis: To compress an image using the proposed algorithm, images are first digitized. With the digital Information of an image different types of transformations are applied. In this method wavelet transformations (haar, daubechies wavelet transformations) are used. The output of transformation coefficients are quantized into nearest integer values. Vector Quantization takes an important role in quantizing the transformation coefficients. After quantization they are encoded by using any one of the compression encoding techniques. Huffmann encoding is used for compressing Tablet images and Tablet strip images. It is derived from exact frequencies of text. The variable length code table is an output of Huffmann’s algorithm. The source symbol is encoded and stored in the above table which is further transferred through the channel for decoding. Findings: Since Unsupervised Neural Network learning algorithms are added in this algorithm increase the picture quality is improved and it removes the problems of block artifacts. Conclusion/Application: Since cloud computing provides elastic services, high performance and scalable large data storage, to facilitate long term storage and efficient transmission Image files are compressed and stored using this hybrid compression algorithm to enhance the performance of recent compression algorithms. The compressed and reconstructed images are evaluated using the error measures like CR (Compression Ratio), PSNR (Peak Signal Ratio). It shows that the above explained algorithm provides better results than the traditional results.Keywords
Cloud Architecture, Self Organizing Feature Map (SOFM), Vector Quantization, Wavelet TransformationFull Text
- Record of Dolichogenidea stantoni (Ashmead) (Hymenoptera: Braconidae), a Larval Parasitoid of Pumpkin Caterpillar, Diaphania indica(Saunders) (Lepidoptera: Pyralidae)
Abstract Views :222 |
PDF Views:128
Authors
Affiliations
1 Division of Entomology and Nematology, Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bangalore 560089, Karnataka, IN
1 Division of Entomology and Nematology, Indian Institute of Horticultural Research, Hessaraghatta Lake Post, Bangalore 560089, Karnataka, IN
Source
Journal of Biological Control, Vol 18, No 2 (2004), Pagination: 205-206Abstract
A new gregarious braconid endoparasitoid, Dolichogenidea stantoni was recorded from larvae of Diaphania indica infesting cucurbits in and around Uangalore. Peak parasitism was observed in the months of June and October 2003. A mean parasitism of 37.26±4.01 per cent was observed. Each parasitized larva produced a mean of 16.32±1.86 cocoons. The per cent emergence of adult was 82.23. The sex· ratio under field condition was more of female biased (1: 4.20).Keywords
Cucurbits, Development, Diaphania indica, Dalichogenidea slantolli, Sex-Ratio.Full Text
- Pathogenicity of Selected Antagonistic Soil Fungi on Meloidogyne incognita (Kofoid & White) Eggs and Egg Masses under in Vitro and in Vivo Conditions
Abstract Views :239 |
PDF Views:140
Authors
Affiliations
1 Division of Entomology and Nematology Indian Institute of Horticultural Research Hessaraghatta Lake P.O., Bangalore 560089, Karnataka, IN
1 Division of Entomology and Nematology Indian Institute of Horticultural Research Hessaraghatta Lake P.O., Bangalore 560089, Karnataka, IN
Source
Journal of Biological Control, Vol 15, No 1 (2001), Pagination: 63- 68Abstract
Four indigenous antagonistic fungi belonging to 3 species, Gliocladium virens Miller Giddens & Foster, Paecilomyces lilacinus (Thon) Samson, Trichoderina harzianum Rifai and T. viride Pers. Ex S. F. Gray evaluated for their pathogenicity to eggs and egg masses of Meloidogyne incognita, in vitro through the Petri-dish assay and in vivo under glasshouse conditions were found pathogenic. Under both the conditions, maximum egg mass and egg parasitization was observed to be by P. lilacinus followed by T. viride, G. virens and T. harizianum. There was a general decline in parasitization by these fungi, under in vivo conditions compared to that under in vitro conditions. Fungal colonization in galled ischolar_mains was higher than in healthy ischolar_mains. Comparatively T. viride and G. virens recorded higher ischolar_main colonization closely followed by P. lilacinus. Among the four fungi, P. lilacinus recorded consistently higher pathogenicity against ischolar_main-knot nematodes both in vitro and in vivo conditions, indicating that P. lilacinus was more efficient against ischolar_main-knot nematodes compared to other species.Keywords
Antagonistic Fungi, Meloidogyne incognita, Pathogenicity.Full Text
- Effect of Different Storage Temperature Regimes on Spore Viability of Paecilomyces lilacinus (Thom.) Samson in some Formulations
Abstract Views :206 |
PDF Views:131
Authors
Affiliations
1 Division of Entomology and Nematology Indian Institute of Horticultural Research, Hessaraghatta Lake P.O., Bangalore 560089, Karnataka, IN
1 Division of Entomology and Nematology Indian Institute of Horticultural Research, Hessaraghatta Lake P.O., Bangalore 560089, Karnataka, IN
Source
Journal of Biological Control, Vol 15, No 1 (2001), Pagination: 73-75Abstract
A laboratory experiment was carried out to identify optimum formulation medium and temperature for storage of Paecilomyces lilacinus based on spore viability. Paecilomyces lilacinus spores were produced on PDA, paddy grain, sorghum grain and tapioca broth, formulated on coconut coir pith, talc and vermiculite and stored at 0, 15 and 27 ± 1°C for 150 days, with P. lilacinus spores stored at -20°C on sterile silica grain as control. In general, the spore viability in grain based formulations (paddy and sorgbum) declined more rapidly than on tapioca broth based formulations. The spores stored at -20°C on sterile silica grain recorded 98 per cent viability even at 150th day of storage. Spores formulated on tapioca broth with talc, vermiculite or coir pith as inert base, and on paddy grain with talc as inert base, exhibited more tban 80 per cent viability at 150 days of storage at ooe temperature which declined to ≥60 per cent at 27 ± 1°C after 150 days of storage.Keywords
Formulations, Paecilomyces lilacinus, Spore Viability, Storage Temperatures.Full Text
- Advanced Medical Image Compression with 2-D Maximum Entropy Method and Hybrid Compression Concepts
Abstract Views :245 |
PDF Views:0
Authors
Affiliations
1 Bharathiyar University, Coimbatore, IN
1 Bharathiyar University, Coimbatore, IN
Source
Indian Journal of Innovations and Developments, Vol 5, No 8 (2016), Pagination: 1-7Abstract
Objective: In medical image processing, storage and transmission of image pixels is a vital problem since diagnosis is a continuous process.
Methods: The 2D maximum entropy method segmentation followed by compression provides good results in the field of Medical image processing which has storage and transmission problems.The proposed algorithm is created using 2-D maximum entropy method segmentation and followed by Hybrid image compression.This proposal introduces an advanced compression method which combines both lossy and lossless image compression techniques. The clinical part of the image is segmented with 2-D maximum entropy thresholding and lossless techniques are applied to compress this part. Lossy image compression technology is implemented in other part of the image that is with the background picture. Run Length Encoding is applied to the resultant data to produce the compressed image.
Findings: The Advantage of using 2-D Maximum entropy method is that it considers both the grey information and neighbouring information. It can be able to produce good results even the image’s signal to noise ratio (SNR) is low. Among lossy and lossless image compression methods lossless method is preferred in medical image processing since it has to protect important clinical information. Lossless compression can be able to produce lower compression ratio than lossy because it reduces the size of image only to certain limit. The experimental result shows that the proposed method provides good compression ratio and PSNR measures.
Novelty/Improvements:Future enhancement of this algorithm is that the neural network algorithm such as self-organizing feature map can be used to find out the threshold value automatically.
Keywords
Segmentation, 2-D Maximum Entropy Thresholding, Losslessimage Compression, Lossy Image Compression, Decompression.Full Text
References
- Due feng, Shi Wenkang. Infra red image segmentation with two dimensional maximum entropy based on particle swarm optimization. Pattern Recognition Letters.2005; 26 (5), 597-603.
- Ghadah AJ-Khafaji, Wavelet transforms and polynomial approximation model for lossless medical image compression.International Journal of Advanced Research in Computer Sciecne and Software Engineering. 2014; 4(3), 1-4.
- J Jiang. P. Trundle, J. Ren. Medical image analysis with artificial neural networks.Computerized Medical Imaging and Graphics. 2010; 34(8), 617-631.
- Nikita Bansal, Sanjay Kumar Dubey. Image compression using hybrid transform technique.Journal of Global Research in Computer Science.2013;4(1), 13-17.
- Liping Zheng, Guangvao Li. Improvement of grayscale image 2-D maximum entropy threshold segmentation method. IEEE, 2010; 324-328.
- Manjinder Kaur,Gaganpreet Kaur. Survey of lossless and lossy image compression techniques.International Journal of Advanced Research in Computer Science and Software Engineering.2013; 3(2), 323-326.
- Mussarat Yasmin, Muhammad Sharif and Sajjad Mohsin. Neural networks in medical imaging applications: A survey.World Applied Sciences Journal. 2013; 22(1), 85-96.
- A.J.Rajeswari Joe, Dr.N.Rama. Neural network based image compression for memory consumption in cloud environment.Indian Journal of Science and Technology.2015; 8(15), 1-6.
- Malvika Dixit. An enhanced hybrid technology for digital image compression.International Journal of Electronics and Communication Engineering.SSRG-IJECE.2014; 1(7), 21-27.
- P.Daniel Ratna Raju, G.Neelima. Image Segmentation by using Histogram Thresholding.International Journal of computerscience Engineering and Technology.2012; 2(1), 776-779.
- Neelesh Kumar Sahu. A survey on various medical image compression techniques.International Journal of Science, Engineering and Technology Research (IJSETR), 2013; 2(2), 501-506.
- Sherif.e.hussein, Sheriff M.Badr. Healthcare cloud integration using distributed cloud storage and hybrid image compression. Indian Journal of Computer Applications. 2013; 80(3), 9-15.
- S.Tajne, Amit, Prof. Pravin S. Kulkarni. A survey on medical image compression using Hybrid technique. International Journal of Computer Science and Mobile Computing. 2015; 4(2),18-23.
- Serge Belongie,Jitendra Malik. Contour and texture analysis for Image segmentation.International Journal of Computer Vision.2001; 43(1),7-27.
- J.Saira Banu, Rajasekhara Babu, Reeta Pandey. Parallel implementation of singular value decomposition(SVD) in image compression using open MP and sparse matrix pepresentation. Indian Journal of Science and Technology.2015; 8(13), 1-10.
- A Novel Website Quality and Usability Evaluation Framework for Online Shopping Websites
Abstract Views :157 |
PDF Views:0
Authors
Affiliations
1 University of Madras, Chennai - 600005, Tamil Nadu, IN
2 Department of Computer Science, Presidency College, Chennai - 600005, Tamil Nadu, IN
1 University of Madras, Chennai - 600005, Tamil Nadu, IN
2 Department of Computer Science, Presidency College, Chennai - 600005, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 36 (2016), Pagination:Abstract
Objectives: The purpose of this research paper is aimed to determine the effect of subjective measures website quality and usability on its objective measures. A checklist of high level quality factors and sub factors, factors driving the customer to shop online is proposed and a new website quality and usability evaluation framework is developed to evaluate the quality and usability of online shopping websites from the user’s perspective. Methods: Structural equation modeling was applied to determine the subjective measures with the highest and lowest contributing factors for website quality and usability. A survey with 400 respondents was conducted to validate the proposed model. Findings: The Study has identified the important quality factors of the case study website Flipkart which makes it usable and successful. The results of the study can be used for designing websites with improved quality and usability. The study has significance impact on the economic and societal perspectives as the results will help the online shopping sites to improve their websites to improve the degree of user satisfaction and attract more customers to shop online.Keywords
Quality Factors, Usability, Website quality.Full Text
- Bi-Analysis Recommendation for Utilization of ICT in E-Governance Services for BSNL using Data Analytics
Abstract Views :162 |
PDF Views:0
Authors
C . Periasamy
1,
N. Rama
2
Affiliations
1 Department of Electronics and Communication Engineering, Vedavyasa Institute of Technology, Karadparamba - 673632, Malappuram District, Kerala, IN
2 Department of Computer Science, Presidency College, Chennai - 600005, Tamil Nadu, IN
1 Department of Electronics and Communication Engineering, Vedavyasa Institute of Technology, Karadparamba - 673632, Malappuram District, Kerala, IN
2 Department of Computer Science, Presidency College, Chennai - 600005, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 4 (2016), Pagination:Abstract
Background: The main objective of this research work is to develop an E-Governance model based on bi-analysis results in standard database environment with aid of SWOT analysis along with cluster analysis. Methods: A model based questionnaire survey was conducted in all BSNL centers of Tamil Nadu, to know the infrastructure facilities like computer, software, hardware, network structure and automation components etc. A separate questionnaire was framed to know the present status of existing problems persisting throughout the BSNL center of Tamil Nadu, India. This research covers the entire research process including: formulating research questions, performing bi-analysis through SWOT analysis and Cluster analysis and modeling best recommendation model for BSNL public sector. Findings: SWOT analysis based Hierarchal clustering model is drawn as one among the best of other comparable models. Also produce 96% as success rate and 4% as weaken rate will promote this as opportunities for others to avail the ICT in BSNL organization. Applications: This model will provide a smooth flow of information, commands, requests and reporting between the government (BSNL administration) and the citizens (BSNL staff and Public), so as to enhance the speed and quality of internal functioning, as well as to provide a user-friendly access to outsiders. Also recommends the users to avail the ICT facility in public sector with maximum of utilization.Keywords
Cluster Model, Data Mining, E-Governance, ICT (information And Communication Technology), Recommendation System, Swot AnalysisFull Text
- Relevance and Resonance of Data Science in Performance Prediction and Visualization
Abstract Views :167 |
PDF Views:0
Authors
A. Princy Christy
1,
N. Rama
1
Affiliations
1 Post Graduate and Research Department of Computer Science, Presidency College, Chennai, IN
1 Post Graduate and Research Department of Computer Science, Presidency College, Chennai, IN
Source
Indian Journal of Science and Technology, Vol 9, No 19 (2016), Pagination:Abstract
Objectives: This paper aims at comparing and contrasting relevant researches on predicting the performance of students in Data Science perspective that encompasses machine learning and data mining. Analysis: An architectural framework has been devised for educational data mining. The ultimate motive is to extensively investigate the techniques like classification, regression and recommender systems in predicting the student performance and to explore the prediction accuracy of these techniques as well. For this purpose very many researches that have successfully implemented these techniques were carefully studied and their contribution to predicting the performance were analysed. Findings and Novelty: It came to light that ensembles created by combining classifiers performed well and their accuracy in predicting the performance was commendable compared to the individual performance of the classification, regression and recommender techniques. The nuance of this study is the incorporation of recommender systems along with conventional techniques since these are not commonly used in performance prediction. Tensor factorization in particular has desirable effect in prediction since it takes the time factor into consideration. It is a fact that performance of students increases over time.Keywords
Ensemble Classifiers, Neural Networks, Performance Prediction, Recommender Systems, Regression.Full Text
- Leaf Surface Wax Composition of Genetically Diverse Mulberry (Morus sp.) Genotypes and its Close Association with Expression of Genes Involved in Wax Metabolism
Abstract Views :275 |
PDF Views:100
Authors
H. M. Mamrutha
1,
K. N. Nataraja
2,
N. Rama
2,
D. K. Kosma
3,
T. Mogili
4,
K. Jhansi Lakshmi
5,
M. Udaya Kumar
2,
M. A. Jenks
6
Affiliations
1 Indian Institute of Wheat and Barley Research, Karnal 132 001, IN
2 Department of Crop Physiology, University of Agricultural Sciences, GKVK, Bengaluru 560 065, IN
3 Department of Biochemistry and Molecular Biology, University of Nevada, Reno, Nevada 89557, US
4 Central Sericultural Research and Training Institute, Mysuru 570 008, IN
5 Central Sericultural Germplasm Resources Centre, Thally Road, Hosur 635 109, IN
6 Division of Plant and Soil Sciences, West Virginia University, Morgantown, West Virginia 26506, US
1 Indian Institute of Wheat and Barley Research, Karnal 132 001, IN
2 Department of Crop Physiology, University of Agricultural Sciences, GKVK, Bengaluru 560 065, IN
3 Department of Biochemistry and Molecular Biology, University of Nevada, Reno, Nevada 89557, US
4 Central Sericultural Research and Training Institute, Mysuru 570 008, IN
5 Central Sericultural Germplasm Resources Centre, Thally Road, Hosur 635 109, IN
6 Division of Plant and Soil Sciences, West Virginia University, Morgantown, West Virginia 26506, US
Source
Current Science, Vol 112, No 04 (2017), Pagination: 759-766Abstract
Silkworm (Bombyx mori), the primary producer of silk, has strong feeding preference for most turgid and hydrated mulberry leaves. In a previous study, we showed positive correlation between moisture retention capacity (MRC) of the mulberry leaf and leaf surface wax amount. In the present study, we examined wax constituents in genotypes that exhibited a wide range of leaf surface wax amount and MRC. Gas chromatographic analysis revealed that acids, alkanes, aldehydes, primary alcohols, iso-alkanes, triterpenoids, esters were among mulberry waxes identified and the major being alkanes. The highest total leaf wax amount was 1006.8 μg dm-2 in the V1 genotype whereas S-36 had the least wax at 436.9 μg dm-2. The alkanes were dominated by those having 25, 27, 29, 31 and 33 carbons, with C31 compounds being the most abundant. RNA-blot hybridization performed with 13 wax biosynthesis associated genes using heterologous probes revealed a close association between surface wax composition and expression levels of genes associated with wax elongation (CUT1, KCS1). The association was also established with homologous probes of KCS1, WAX2, CUT1 and LTP1-like genes. In summary, regulation of early wax precursor metabolism is a likely contributor to the variation observed in leaf wax composition in mulberry.Keywords
Cuticular Wax, Moisture Retention Capacity, Mulberry, Silkworm, Wax Genes.Full Text
- An Intelligent System for the Characterization of Hyperlipidemic Blood and a Comparative Study on the Efficacy of Statins
Abstract Views :164 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science & Applications, Pachaiyappa’s College, Chennai-600 030, IN
2 Department of Computer Science, Presidency College, Chennai - 600 005, IN
3 Spectrophysics Laboratory, Pachaiyappa’s College, Chennai - 600 030, IN
1 Department of Computer Science & Applications, Pachaiyappa’s College, Chennai-600 030, IN
2 Department of Computer Science, Presidency College, Chennai - 600 005, IN
3 Spectrophysics Laboratory, Pachaiyappa’s College, Chennai - 600 030, IN
Source
Oriental Journal of Computer Science and Technology, Vol 1, No 1 (2008), Pagination: 69-74Abstract
Elevated lipid level is supposed to be one of the main risk factors for cardiovascular diseases. Therefore lipid lowering is one of the major target in cardiovascular treatment and prevention. Hence hyperlipidemic blood has to be identified and lipid level has to be lowered. Atorvastatin and simvastatin are the lipid lowering agents, they lower the low density cholesterol. For the characterization of hyperlipidemic blood, the FTIR spectra of blood sera of 20 healthy people and 20 hyperlipidemic patients of the same age group were recorded and fed as input to our system.To study the efficacy of statins, the FTIR spectral data of blood sera of the 20 hyperlipidemic patients of the same age group and blood group were recorded and fed as input to our system. Our system is trained to distinguish between the healthy and hyperlipidemic blood. Some remarkable differences are identified by our system. Both the statins were well tolerated and it is concluded from the results that Atorvastatin is more efficacious than simvastatin in modifying lipids in patients with hyperlipidemia and a high coronary heart disease risk. FTIR spectroscopy allows accurate lipids concentration determination. The results obtained from our System are well supported by both spectroscopic data and clinical data. Since our system is trained to distinguish the hyperlipidemic blood with the fine details of FTIR spectra, it can improve the diagnostic accuracy and rate of cardiovascular treatment and also it can analyze the efficacy of statins at a faster rate with more accuracy.Keywords
Lipids, Hyperlipidemia, Atorvastatin, Simvastatin, Efficacy of Statins.Full Text