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Anand, R.
- Designing a Dynamic e-Health Database for Smartphones using Mobile Networks
Abstract Views :177 |
PDF Views:3
Authors
Affiliations
1 Department of Computing, SCSVMV University, Tamilnadu, IN
2 Department of IT, Prathyusha Institute of Technology and Management-PITM, Chennai, Tamilnadu, IN
1 Department of Computing, SCSVMV University, Tamilnadu, IN
2 Department of IT, Prathyusha Institute of Technology and Management-PITM, Chennai, Tamilnadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 7, No 6 (2015), Pagination: 195-196Abstract
This is an innovative idea to design a dynamic database to hold and dissimilate information, particularly related to healthcare industry. If implemented, the idea would help healthcare industry by saving time and expand its horizon in all levels. It is recommended to collect details of doctors dynamically from cell phone service providers who are in an area and provide the same to stake holders through Smart phone (Android) applications.Keywords
e-Health, Smart phone, Cell Phone, Database, Doctor.
- Studies on Textile Dye Decolourisation by Different Fungal Species
Abstract Views :146 |
PDF Views:0
Authors
Affiliations
1 Post Graduate and Research Department of Microbiology, Dr. N.G.P. College of Arts and Science, Coimbatore-641 035, Tamilnadu, IN
1 Post Graduate and Research Department of Microbiology, Dr. N.G.P. College of Arts and Science, Coimbatore-641 035, Tamilnadu, IN
Source
Nature Environment and Pollution Technology, Vol 6, No 3 (2007), Pagination: 377-380Abstract
Different fungal species, isolated in the laboratory, were tested for their dye degrading ability in still culture at various incubation periods. The study revealed the effective decolourisation of Orange-11 and some commercially used dyes like Dri green 2B1 and Dri brill red 4BL1. Aspergillus niger and Rhizopus sp. Caused 100% and 92% degradation respectively in 10 days incubation in still culture containing Orange 11 dye. Dri green 2B1 was effectively decolourised by most of the fungal species causing more than 70% decolourisation in 10 days. Dye decolourisation, an ability of some fungal species, suggests that they were promising fungal strains for the treatment of textile industry waste waters.Full Text
- Power Flow Analysis of Simulink IEEE 57 Bus Test System Model using PSAT
Abstract Views :211 |
PDF Views:0
Authors
Affiliations
1 Department of Electrical and Electronics Engineering, St. Peter's University, Chennai - 600054, Tamil Nadu, IN
2 School of Electrical Engineering, Bahir Dar University, ET
1 Department of Electrical and Electronics Engineering, St. Peter's University, Chennai - 600054, Tamil Nadu, IN
2 School of Electrical Engineering, Bahir Dar University, ET
Source
Indian Journal of Science and Technology, Vol 8, No 23 (2015), Pagination:Abstract
In this paper, we have developed an IEEE 57 bus test system model for conducting the power flow analysis. Simulink library based editor in Power System Analysis Toolbox (PSAT) is used for designing the model. MATLAB is used as a platform for running the PSAT software package. Default Newton-Raphson method in PSAT is used for conducting the power flow analysis. The algorithm for designing the Simulink IEEE 57 bus test system model is developed and the power flow has conducted. All the results are tabulated and the necessary graphs were drawn for the voltage, angle, active, and the reactive power for all the 57 buses. All the results are analyzed and the conclusion has given for the validity of this computational power flow analysis.Keywords
Load Flow, MATLAB, Power Flow, PSAT, Simulink IEEE 57 Bus Test System Model.Full Text
- Screening and Characterization of Ethnopharmacological Properties of Selected Flowers and Spices Against Candida albicans
Abstract Views :186 |
PDF Views:0
Authors
Affiliations
1 Postgraduate and Research Department of Microbiology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
2 Postgraduate and Research Department of Biotechnology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
1 Postgraduate and Research Department of Microbiology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
2 Postgraduate and Research Department of Biotechnology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
Source
Asian Journal of Bio Science, Vol 4, No 2 (2010), Pagination: 171-175Abstract
60 pus samples collected from Coimbatore Medical College (CMC) were processed for the isolation of Candida albicans, among which 24 (40%) were found to be positive. Anticandidal susceptibility pattern revealed that the strains were highly sensitive to fluconazole, ketoconazole; moderately sensitive to clotrimazole and but resistant to nystatin. When the same strains were evaluated for their susceptibility towards aqueous and diethyl ether herbal extracts from Allium sativum, Punica granatum, Syzium aromaticum and Cassia auriculata the results were interesting that they are highly sensitive. The maximum inhibition was found to be 49 mm with Punica granatum followed by 29mm with Allium sativum. The GC-MS analysis of both the extracts revealed the bioactive principles responsible for anticandidal activity.Keywords
Allium sativum, Punica granatum, Syzium aromaticum, Cassia auriculata, Candida albicans.- Characterization of Fungal Contaminants from Wheat and the Speculation of Mycotoxin with Reference to Aflatoxin
Abstract Views :193 |
PDF Views:0
Authors
Affiliations
1 Postgraduate and Research Department of Microbiology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
2 Postgraduate and Research Department of Biotechnology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
1 Postgraduate and Research Department of Microbiology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
2 Postgraduate and Research Department of Biotechnology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
Source
Asian Journal of Bio Science, Vol 4, No 2 (2010), Pagination: 191-194Abstract
Thirty wheat samples procured from storage units in different zones of Coimbatore, Tamilnadu, India were processed to isolate the predominant fungal contaminants. Heterogeneous group of fungi were enumerated by standard plate count, among which four predominant organisms namely Aspergillus flavus, Aspergillus tamorii, Rhizopus spp. and Fusarium spp. were identified by macroscopic and microscopic observations. Since reputed journal reports, continuously highlight the impact of mycotoxin production in wheat by Aspergillus flavus, the isolate was chosen and processed to examine the production of aflatoxin and further analysis and confirmation was done using Albino rats and analytical techniques such as thin layer chromatography, immunodiffusion and Immunoelectrophoresis. TLC revealed the presence of G2 type of mycotoxin at a concentration of 15 ppb.Keywords
Aspergillus flavus, Mycotoxin, Aflatoxin, Immunodiffusion.- Effect of Growth Media pH and Incubation Temperatures on the Production of Proteinases From Bacillus sp. 26
Abstract Views :190 |
PDF Views:0
Authors
Affiliations
1 Postgraduate and Research Department of Microbiology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
1 Postgraduate and Research Department of Microbiology, Dr.N.G.P.Arts and Science College, Coimbatore (T.N.), IN
Source
Asian Journal of Bio Science, Vol 4, No 2 (2010), Pagination: 216-220Abstract
Bacillus sps-26 isolated and characterized from dairy effluents was challenged for its ability to produce alkaline proteinase using different temperature and pH as bioparameters with a chemically defined medium containing 5% casein. The maximum enzyme production was achieved at 30.C at pH 10, which was assayed using Genov method. Although moderate enzyme level was obtained at 10.C, it can pave the way for its affordable use in detergent industries.Keywords
Bacillus sp-26, Alkaline Proteinase, Bioparameters, Tseushida Method, Lowry Method.- Production of Ethanol from Ipomoea batatas using Saccharomyces cerevisiae
Abstract Views :165 |
PDF Views:0
Authors
Affiliations
1 Department of Biotechnology, Dr. N.G.P. Arts and Science College, Coimbatore (T.N.), IN
2 Department of Microbiology, Dr. N.G.P. Arts and Science College, Coimbatore (T.N.), IN
3 Department of Biochemistry, Dr. N.G.P. Arts and Science College, Coimbatore (T.N.), IN
4 Department of Microbial Biotechnology, Bharathiar University, Coimbatore (T.N.), IN
1 Department of Biotechnology, Dr. N.G.P. Arts and Science College, Coimbatore (T.N.), IN
2 Department of Microbiology, Dr. N.G.P. Arts and Science College, Coimbatore (T.N.), IN
3 Department of Biochemistry, Dr. N.G.P. Arts and Science College, Coimbatore (T.N.), IN
4 Department of Microbial Biotechnology, Bharathiar University, Coimbatore (T.N.), IN
Source
Asian Journal of Bio Science, Vol 4, No 2 (2010), Pagination: 266-269Abstract
A study was carried out on yeast fermentation of sweet potato (Ipomoea batatas) using baker’s yeast (Sacchromyces cerevisiae). The fermented sugar syrup (broth) was analyzed for yeast growth, alcohol content, reducing sugar, pH, soluble solids, volatile acids and total acidity using standard protocols. Yeast growth was also monitored. Results showed that pH values decreased with increased total acidity with concomitant increase in yeast growth (biomass) and alcohol contents of the fermenting sugar syrup. There were decreases in soluble solid contents, refractive indices of the fermenting medium. The reducing sugar in the Ipomoea batatas was lowest after 48 h of saccharification using Sacchromyces cerevisiae.The value recorded was 132 to 87 mg/100ml. Volatile acids (as acetic acids), increased with alcoholic fermentation. Fermentation of sugar syrup from Ipomoea batatas is associated with physical and chemical changes that occur in other form of fermentation alongside increased in biomass. The fermented Ipomoea batatas yielded ethanol contents of 11.5 to 53.0% (v/v).Keywords
Ipomoea batatas, Fermentation, Saccharomyces cerevisiae, Alcohol, Sugar Syrup, Biomass.- Occurrence and Distribution of Clostridium perferingens in Relation to Conventional Faecal Indicator Bacterial in Shrimp Farm
Abstract Views :148 |
PDF Views:0
Authors
Affiliations
1 Post Graduate and Research Department of Microbiology, Dr.N.G.P. College of Arts and Science, Coimbatore (T.N.), IN
2 Post Graduate and Research Department of Botany and Microbiology, A.V.V.M. Sri Pushpam College, Poondi, Tanjavur (T.N.), IN
3 Post Graduate and Research Department of Chemistry, Avinashilingam University, Coimbatore (T.N.), IN
1 Post Graduate and Research Department of Microbiology, Dr.N.G.P. College of Arts and Science, Coimbatore (T.N.), IN
2 Post Graduate and Research Department of Botany and Microbiology, A.V.V.M. Sri Pushpam College, Poondi, Tanjavur (T.N.), IN
3 Post Graduate and Research Department of Chemistry, Avinashilingam University, Coimbatore (T.N.), IN
Source
Asian Journal of Bio Science, Vol 3, No 2 (2008), Pagination: 361-363Abstract
Biomonitors indicate the microbiological quality of water. Though E. coli is a microbiological indicator, it cannot be considered as a perfect one. In this regard, attempts for finding a new indicator of faecal pollution in place of E. coli was carried out by performing a comparative study between E. coli and Clostridium perfringens as faecal indicator in shrimp farms. The presence of these organisms was determined by evaluating the brackish water and shrimp samples from various areas of Cochin, using MPN technique. The effect of disinfectant chlorine was examined over these organisms which revealed the sensitive nature of E. coli. Clostridium perfringens was found to be highly resistant in comparison with E. coli and thus suggesting it as a better indicator of faecal contamination in brackish water to evaluate the microbial quality of shrimp farms than E. coli.
Keywords
Biomonitor, E. coli, Clostridium perfringens, Brackish Water, Shrimp, MPN Technique, Chlorine.- Fundus Image Classification using Hybridized GLCM Features and Wavelet Features
Abstract Views :209 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Sona College of Technology, IN
1 Department of Electronics and Communication Engineering, Sona College of Technology, IN
Source
ICTACT Journal on Image and Video Processing, Vol 11, No 3 (2021), Pagination: 2372-2375Abstract
We find the usefulness of computers in every field including medical field. Scanning the affected part has become a standard study. Diagnosing a disease at the right time, i.e. early detection, from the study of images enables the physician to take right decision and provide proper treatment to the patient. With the alarming growth of population, it is difficult for every individual patient to get a second opinion from medical expert. In these situations, computer-aided automatic diagnosis system will be much helpful. Diabetic retinopathy is a disorder that arises from increase in blood glucose level. Based on the severity, it has been distinguished into four stages. Diagnosing diabetic retinopathy at an early stage from retinal images and providing proper treatment will save the patient from severe vision loss. The proposed method adopts hybridized GLCM features and wavelet features to classify the fundus images according to the severity of the disease. The method is tested with fundus images collected from Indian Diabetic Retinopathy Dataset.Keywords
Fundus Image, GLCM, WDM Features, Diabetic Retinopathy, Classification.References
- R. Anand, T. Shanthi, M.S. Nithish and S. Lakshman, “Face Recognition and Classification using Google NET Architecture”, Advances in Intelligent Systems and Computing, Vol. 1048, pp. 261-269, 2020.
- S. Veni, R. Anand and D. Vivek, “Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone”, Advances in Intelligent Systems and Computing, Vol 1057, pp. 361-372, 2020.
- G. Kylberg. “The Kylberg Texture Dataset v. 1.0, Centre for Image Analysis”, Technical Report, Swedish University of Agricultural Sciences and Uppsala University, pp. 1-132, 2020.
- R. Anand, S. Veni and J. Aravinth, “An Application of Image Processing Techniques for Detection of Diseases on Brinjal Leaves using K-Means Clustering Method”, Proceedings of International Conference on Recent Trends in Information Technology, pp. 1-7, 2016.
- R.S. Sabeenian and V. Palanisamy, “Texture-Based Medical Image Classification of Computed Tomography Images using MRCSF”, International Journal of Medical Engineering and Informatics, Vol. 1, No. 2, pp. 459-466, 2009.
- R.S. Sabeenian and V. Palanisamy, “Comparison of Efficiency for Texture Image Classification Using MRMRF and GLCM Techniques”, International Journal of Computers Information Technology and Engineering, Vol. 2, No. 2, pp. 87-93, 2008.
- Robert M. Haralick and Karthikeyan Shanmugam, “Textural Features for Image Classification”, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 6, pp. 610-621, 1973.
- Manik Varma and Andrew Zisserman, “A Statistical Approach to Texture Classification from Single Images”, International Journal of Computer Vision, Vol. 62, No. 1-2, pp. 61-81, 2005.
- A.K. Johan and Joos Vandewalle, “Least Squares Support Vector Machine Classifiers”, Neural Processing Letters, Vol. 9, No. 3, pp. 293-300, 1999.
- B. Scholkopf and A.J. Smola, “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond”, MIT Press, 2001.
- K.P. Bennett and A. Demiriz, “Semi-Supervised Support Vector Machines”, Advances in Neural Information Processing Systems, pp. 368-374, 1999.
- T. Shanthi, R.S. Sabeenian and R. Anand, “Automatic Diagnosis of Skin Diseases using Convolution Neural Network”, Microprocessors and Microsystems, Vol. 76, pp. 1-20, 2020.
- T. Shanthi and R.S. Sabeenian, “Modified Alexnet Architecture for Classification of Diabetic Retinopathy Images”, Computers and Electrical Engineering, Vol. 76, pp. 56-64, 2019.
- Mryka Hall-Beyer, “GLCM Texture: A Tutorial”, Available at http://www.ucalgary.ca/UofC/nasdev/mhallbey/research.htm, Accessed at 2017.