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Aishwarya, R.
- Impact and Benefits of Cloud Computing on E-Commerce Industry Development
Abstract Views :198 |
PDF Views:5
Authors
Affiliations
1 Department of MIB, Sree Saraswathi Thyagaraja College, Coimbatore, IN
2 Department of CSE, Vedavyasa Institute of Technology, Malappuram, Kerala, IN
1 Department of MIB, Sree Saraswathi Thyagaraja College, Coimbatore, IN
2 Department of CSE, Vedavyasa Institute of Technology, Malappuram, Kerala, IN
Source
Software Engineering, Vol 6, No 9 (2014), Pagination: 270-274Abstract
Cloud computing is expected to be as transformative for business as Enterprise Resource Planning (ERP) or as e-commerce has been in recent years. Almost all the major IT companies have started to integrate cloud computing in their business models. Cloud computing enables a broad range of benefits for public and private sectors including, cost savings, access to organizations of any size and in virtually any location to computing power and software previously only available to the largest global companies, increased agility and speed for deploying new software solutions, and job creation. However, there are challenges to cloud computing for reaching its full potential. Businesses today are looking to technologies such as cloud computing, mobility, social networking and big data analytics to drive a new wave of innovation. Customer expectation from ecommerce systems have evolved significantly over a period of time. Today, customers are expecting a better and faster online experience that closely matches the in-store experience. Customers have access to several social networking mediums, which they want to utilize to get more information and opinions on the products to make their decisions. Businesses are facing a tough task in matching these increasing consumer demands. It is not only important for business to have an online presence but also to keep the online presence updated with the latest technology and business trends. Cloud computing through its different service models; address many technical and business challenges in building and managing modern ecommerce systems. Ecommerce have many benefits with cloud computing also face many threats which require more consideration .To have strong business base with the migration to cloud computing the following things have to be considered value of shifting IT, performance security, availability of risk to cloud service provider ,demand scalability, cost and time to market advantage.
As per Gartner report – by 2013, 40% of ecommerce deployment will use a complete SaaS ecommerce solution, 90 % of ecommerce sites will subscribe to atleast one Saas based service such as product reviews, product recommendation or social capabilities.
Keywords
ERP, E-Commerce, Cloud Computing, Big Data Analytics, SaaS.
- Comparison and Evaluation of Segmentation Techniques for Brain MRI using Gold Standard
Abstract Views :206 |
PDF Views:0
Authors
Affiliations
1 Atria Institute of Technology, Anand Nagar, Bangalore - 560024, Karnataka, IN
2 Department of ISE, Atria Institute of Technology, Anand Nagar, Bangalore - 560024, Karnataka, IN
1 Atria Institute of Technology, Anand Nagar, Bangalore - 560024, Karnataka, IN
2 Department of ISE, Atria Institute of Technology, Anand Nagar, Bangalore - 560024, Karnataka, IN
Source
Indian Journal of Science and Technology, Vol 9, No 46 (2016), Pagination:Abstract
Objective: Automated segmentation is an active research for medical images. Accuracy of automated segmentation methods plays a vital role during brain image analysis. Segmentation being an important area of research, determining its performance is also important. Gold Standard is required for comparison during segmentation evaluation. Method: The Gold Standard for segmentation of medical images is the manual drawing of region of interest. This manual tracing is performed by experts (radiologists). The deviation of segmentation when compared with the experts and the quality of segmentation are inversely proportional. Analysis: The quantitative methods indicate the performance of the segmentation methods when compared with Gold Standard. Evaluation metrics mostly fall into three categories: Area Based Evaluation method (Dice coefficient, Jaccard Coefficient, Relative Volume Difference, Volume Overlap error), Surface Evaluation type (Average Symmetric Surface Distance, Root Mean Square Symmetric Surface Distance, Scatter Plot) and Specificity, Sensitivity and Accuracy.Keywords
Gold Standard, Segmentation, MRI, Manual Segmentation, Automated Segmentation, Evaluation Metrics.Full Text
- Feature Extraction for EMG Based Prostheses Control
Abstract Views :178 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Madras Institute of Technology, Anna University, IN
1 Department of Electronics and Communication Engineering, Madras Institute of Technology, Anna University, IN
Source
ICTACT Journal on Soft Computing, Vol 3, No 2 (2013), Pagination: 472-477Abstract
The control of prosthetic limb would be more effective if it is based on Surface Electromyogram (SEMG) signals from remnant muscles. The analysis of SEMG signals depend on a number of factors, such as amplitude as well as time- and frequency-domain properties. Time series analysis using Auto Regressive (AR) model and Mean frequency which is tolerant to white Gaussian noise are used as feature extraction techniques. EMG Histogram is used as another feature vector that was seen to give more distinct classification. The work was done with SEMG dataset obtained from the NINAPRO DATABASE, a resource for bio robotics community. Eight classes of hand movements hand open, hand close, Wrist extension, Wrist flexion, Pointing index, Ulnar deviation, Thumbs up, Thumb opposite to little finger are taken into consideration and feature vectors are extracted. The feature vectors can be given to an artificial neural network for further classification in controlling the prosthetic arm which is not dealt in this paper.Keywords
Electromyogram (EMG), Auto-Regressive (AR) Model, EMG Histogram.- Scope for Promoting Agriculture Cum Rural Tourism in Thanjavur District- A Case Study
Abstract Views :161 |
PDF Views:0
Authors
Affiliations
1 School of Management, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
1 School of Management, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 27 (2016), Pagination:Abstract
Background/Objectives: Thanjavur district- “the Rice bowl or Granary of Tamil Nadu” is one of the 32 districts of Tamil Nadu in South India and is well known for its domination in agriculture, architecture, music, arts and handicrafts. The author, a native of Thanjavur district, is of opinion that the district have not realized or understood its real potential to promote agro and rural tourism though it has many of the features required. Methods/Statistical Analysis: An exploratory cum descriptive study has been carried out by the author to identify the existing potentials for promoting agro cum rural tourism in the district. Details required for this study were collected from different sections of the society including Government Departments and experts through direct interviews, field visits, focussed group discussions and the findings were summarised and presented in the form of a case study. Findings: It is very clear that there is immense scope available as such to launch immediately the Agri cum Rural tourism in Thanjavur district. The district administration with the help of Govt. of Tamil Nadu and Govt. of India should take immediate steps to launch the project. Applications/Improvements: It is important for the government, society and the affected people to find out alternative methods of income to sustain their livelihood. Launching of “Agri and Rural Tourism” project in the district will benefit all sections of the society and the nation and hence this study assumes greater importance.Keywords
Agriculture Cum Rural Tourism, Agro Tourism, Case Study, Promotion of Rural Tourism, Thanjavur.Full Text
- Network Security
Abstract Views :140 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science, Sri Ramakrishna CAS, Coimbatore, IN
1 Department of Computer Science, Sri Ramakrishna CAS, Coimbatore, IN
Source
Software Engineering, Vol 9, No 1 (2017), Pagination: 13-16Abstract
For the first few decades of their existence, computer networks were primarily used by university researchers for sending e-mail and by corporate employees for sharing printers. Under these conditions, security did not get a lot of attention. But now, as millions of ordinary citizens are using networks for banking, shopping, and filing their tax returns, network security is looming on the horizon as a potentially.
Keywords
Internet of Thing, Network Connectivity, Spoofing, Social Engineering, Eavesdropping.- Network Security
Abstract Views :158 |
PDF Views:4
Authors
Affiliations
1 Department of Computer Science, Sri Ramakrishna CAS, Coimbatore, IN
2 Department of Computer Science, Sri Ramakrishna CAS, Coimbatore, IN
1 Department of Computer Science, Sri Ramakrishna CAS, Coimbatore, IN
2 Department of Computer Science, Sri Ramakrishna CAS, Coimbatore, IN
Source
Digital Signal Processing, Vol 9, No 1 (2017), Pagination: 13-16Abstract
For the first few decades of their existence, computer networks were primarily used by university researchers for sending e-mail and by corporate employees for sharing printers. Under these conditions, security did not get a lot of attention. But now, as millions of ordinary citizens are using networks for banking, shopping, and filing their tax returns, network security is looming on the horizon as a potentially.
Keywords
Internet of Thing, Network Connectivity, Spoofing, Social Engineering, Eavesdropping.- Insilico and Pharmacological Property Analysis of Bioactive Components from Prunus avium against Diabetics
Abstract Views :141 |
PDF Views:92
Authors
L. Veerapandi
1,
T. Nivetha
2,
R. Sinthiya
3,
N. Karunyah Amirthadharshini
4,
K. Bumaasri
4,
R. Aishwarya
4
Affiliations
1 Department of Food Technology, Saintgits College of Engineering, Kottukulam, Pathamuttom Hills, Kottayam – 686532, Kerala, IN
2 Department of Food Technology, Hindusthan College of Engineering and Technology, Coimbatore – 641050, Tamil Nadu, IN
3 Department of Food Technology, Processing Technology and Management, PSGR Krishnammal College for Women, Coimbatore – 641004, Tamil Nadu, IN
4 Department of Food Technology, Bannari Amman Institute of Technology, Sathyamangalam, Erode – 638401, Tamil Nadu, IN
1 Department of Food Technology, Saintgits College of Engineering, Kottukulam, Pathamuttom Hills, Kottayam – 686532, Kerala, IN
2 Department of Food Technology, Hindusthan College of Engineering and Technology, Coimbatore – 641050, Tamil Nadu, IN
3 Department of Food Technology, Processing Technology and Management, PSGR Krishnammal College for Women, Coimbatore – 641004, Tamil Nadu, IN
4 Department of Food Technology, Bannari Amman Institute of Technology, Sathyamangalam, Erode – 638401, Tamil Nadu, IN
Source
Journal of Natural Remedies, Vol 22, No 1 (2022), Pagination: 113 - 119Abstract
Diabetes is a common metabolic disorder, which effects people across all cultures globally. Lifelong distress is the cause of this disease which has no cure as of now. Various medications available in the market are too expensive and not easily affordable by all. Rural people rely on plant based Ayurvedic medications to heal diabetes as these contain anti-diabetic compounds. These phytoconstituents/anthocyanin derivatives work with several mechanisms that involve phytoconstituent interactions and target molecules in diabetic metabolism. Molecular docking analysis aids in finding out the interaction between receptors and ligands to identify the finest interaction which suits the target. In this case, the study proposed examining the bonding interactions of anti-diabetic compounds/anthocyanin derivatives derived from medicinal plants (Pelargonidin, Cyanidin, Delphinidin, Peonidin, Petunidin, Quercetin and pancreatic alpha-amylase (4X9Y)) with the help of the computational tool. ADME/T test helps decide different pharmacological and physicochemical analysis of lead atoms, degree of adsorption inside the cell, digestion rate, solvency, blood cerebrum boundary penetrability, cancer-causing nature and so on, which are the significant essentials prior to advertising a medication. Peonidin and Quercetin was proposing the best interactions. Nonetheless, to discover a better cure for diabetes, further in-vitro/ in vivo studies have to be carried out.Keywords
Anthocyanins, Diabetes, Molecular Docking, Pancreatic alpha-amylase (4X9Y), Phytochemicals, α-amylaseFull Text
References
- ADA (2014); Diagnosis and classification of diabetes mel- litus. Diabetes Care; 37; S81–S90. https://doi.org/10.2337/ dc14-S081. PMid:24357215
- Clark CM, and Lee DA. Prevention and treatment of the complications of diabetes mellitus. N Engl J Med. 1995; 332(18):1210–121. https://doi.org/10.1056/NEJM19950504 3321807. PMid:7700316
- Tota K, Rayabarapu N, Moosa S, Talla V, Bhyravbhatla B, Rao S. InDiaMed: A comprehensive database of Indian medicinal plants for diabetes. Bioinformation. 2013; 9(7):378–80. https://doi.org/10.6026/97320630009378. PMid:23750084. PMCid:PMC3669792
- Blackhall ML, Berry R, Davies NW, Walls JT. Optimized extraction of anthocyanins from reid fruits’ Prunus avium ‘lapins’ cherries. Food Chem. 2018; 256:280–5. https://doi. org/10.1016/j.foodchem.2018.02.137. PMid:29606449
- 5. Chandrasekhar J, Madhusudhan MC, Raghavarao KSMS. Extraction of anthocyanins from redcabbage and puri- fication using adsorption. Food Bioprod. Process. 2012; 90(4):615–23. https://doi.org/10.1016/j.fbp.2012.07.004
- Korkina LG. Phenylpropanoids as naturally occurring anti- oxidants: From plant defense to human health. Cell Mol Biol. 2007; 53:15–25.
- Schmitz-Eiberger MA, Blanke MM. Bioactive components in forced sweet cherry fruit (Prunus avium L.), antioxidative capacity and allergenic potential as dependent on cultiva- tion under cover. LWT Food Sci Technol. 2012; 46:388–92. https://doi.org/10.1016/j.lwt.2011.12.015
- Serradilla MJ, Lozano M, Bernalte MJ, et al. Physico- chemical and bioactive properties evolution during ripening of “Ambrunés” sweet cherry cultivar. LWT Food Sci Technol. 2011; 44:199–205. https://doi.org/10.1016/j. lwt.2010.05.036
- Usenik V, Fabčič J, Štampar F. Sugars, organic acids, phe- nolic composition and antioxidant activity of sweet cherry (Prunus avium L.). Food Chem. 2008; 107:185–92. https://doi.org/10.1016/j.foodchem.2007.08.004
- Usenik V, Stampar F, Petkovsek MM, Kastelec D. The effect of fruit size and fruit colour on chemical composition in “Kordia” sweet cherry (Prunus avium L.). J Food Compos Anal. 2015; 38:121–30. https://doi.org/10.1016/j. jfca.2014.10.007
- Kaushik D, Kumar A, Kaushik P, Rana AC. Analgesic and anti-inflammatory activity of Pinus roxburghii sarg. Adv Pharmacol Sci. 2012; 245431. https://doi. org/10.1155/2012/245431. PMid:22761611. PMCid:PMC3 384912
- Marles RJ, Farnsworth NR. Anti-diabetic plants and their active constituents. Phytomedicine. 1995; 2(2):137–89. https://doi.org/10.1016/S0944-7113(11)80059-0
- Anjana RM, Pradeepa R, Deepa M, et al. ICMR-INDIAB collaborative study group: Prevalence of diabetes and prediabetes (impaired fasting glucose or/and impaired glucose tolerance) in rural and urban India: Phase 1 results of the Indian Council of Medical Research- INdiaDIABetes (INDIAB) study. Diabetologia. 2011; 54(12):3022–7. https:// doi.org/10.1007/s00125-011-2291-5. PMid:21959957
- Ferreira L, dos Santos R, Oliva G, Andricopulo A. Molecular docking and structure-based drug design strategies. Molecules. 2015; 20(7):13384–421. https:// doi.org/10.3390/molecules200713384. PMid:26205061. PMCid:PMC6332083
- Suganya J, Viswanathan T, Radha M, Marimuthu N. In silico molecular docking studies to investigate interactions of natural camptothecin molecule with diabetic enzymes. Research J. Pharm. and Tech. 2017; 10(9):2917–22. https:// doi.org/10.5958/0974-360X.2017.00515.7
- Lipinski CA, Lombardo F, Dominy BW, Feeney PJ. Experimental and computational approaches to estimate solubility and permeability in drug discovery and develop- ment settings. Adv. Drug Deliv. Rev. 1997; 23(1–3):3–25. https://doi.org/10.1016/S0169-409X(96)00423-1
- Dearden JC. In silico prediction of ADMET properties: How far have we come? Expert Opin Drug Metab Toxicol. 2007; 3(5):635–9. https://doi.org/10.1517/17425255.3.5.635. PMid:17916052
- Wang J, Skolnik S. Recent advances in physicochemical and ADMET profiling in drug discovery; Chemistry & biodiversity. 2009; 6(11):1887–99. https://doi.org/10.1002/ cbdv.200900117. PMid:19937823
- Reddy GD, Kumar KNVP, Duganath N, Divya R, Amitha K. ADMET docking studies and binding energy calculations of some novel ACE inhibitors for the treatment of diabetic nephropathy. Int J. Drug Dev. Res. 2012; 4:268–82.
- Guttula S, Rao AA, Sridhar GR, Chakravarthy MS. Protein ligand interaction analysis an insilico potential drug tar- get identification in diabetes mellitus and nephropathy. J. Bioinform. Seq. Anal. 2011; 3(5):95–9.