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Neogi, Amartya
- Extended Fuzzy Logic In Student Evaluation
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Affiliations
1 Lecturer, Advanced Institute of Modem Management & Technology, 55, Barrack Road, Barrackpore, Kolkata-700 120, IN
2 Assistant Professor, NITTTR, Salt Lake City, Kolkata - 700 106, IN
1 Lecturer, Advanced Institute of Modem Management & Technology, 55, Barrack Road, Barrackpore, Kolkata-700 120, IN
2 Assistant Professor, NITTTR, Salt Lake City, Kolkata - 700 106, IN
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Indian Science Cruiser, Vol 21, No 4 (2007), Pagination: 23-30Abstract
This paper presents a new model for evaluating students’ answer scripts using fuzzy logiQ. A qualitative model of student is generated which is able to provide a practical method for evaluating student academic performance. In this proposed evaluation the degree of satisfaction is defined in advance by experts with respect to levels of performance. Exam iner awards fuzzy marks into the fuzzy grade sheet according to each level of performance. From this, the degree of satisfaction for each question is calculated and the total score is calculated based on all questions in the question paper.Keywords
Extended fuzzy grade sheet, Fuzzy set, Generalized extended fuzzy grade sheet, Linguistic term.- Modeling Enterprise Resource Planning of TISCO:A Petri Net Approach
Abstract Views :656 |
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Authors
Affiliations
1 CST Department, Technique Polytechnic Institute, Hooghly,W.B.-712102, IN
2 CIS Department, Dr. B.C Roy Engineering College, Durgapur, W.B.-713206, IN
1 CST Department, Technique Polytechnic Institute, Hooghly,W.B.-712102, IN
2 CIS Department, Dr. B.C Roy Engineering College, Durgapur, W.B.-713206, IN
Source
Indian Science Cruiser, Vol 30, No 4 (2016), Pagination: 15-21Abstract
An Enterprise Resource Planning program (ERP) is integrated computer based system to manage a software biasness process. Implementing an ERP software is usually a complex and risks project which is significant to change a business process and work practices. Unfortunately, the implications of interdependency are usually underestimated by project managers and decision makers since they are difficult to include in any risk assessment logic. This work shows how Petri Nets can be used to model ERP projects in order to deal with the problem of interdependence in modules. The technique is presented through an application to a real case study.Keywords
Enterprise Resource Planning, Modeling, Petri Net, TISCO, Evaluation.- A Study to Evaluate Symptoms in Essential Hypertension Using Random Forest Decision Tree Algorithm
Abstract Views :568 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science, The University of Burdwan, Golapbag, Burdwan-713104, IN
2 Department of Computer & Information Science, Dr. B. C. Roy Engineering College, Dugrapur-713206, IN
3 Department of Computer Science, Bagnan College, W.B., IN
1 Department of Computer Science, The University of Burdwan, Golapbag, Burdwan-713104, IN
2 Department of Computer & Information Science, Dr. B. C. Roy Engineering College, Dugrapur-713206, IN
3 Department of Computer Science, Bagnan College, W.B., IN
Source
Indian Science Cruiser, Vol 31, No 4 (2017), Pagination: 28-35Abstract
In the present study, we would like to gain the insight of the medical data through classification based data mining technique, namely random forests classification. The paper presents a hypertension risk factor symptom classification task where the decisions should be made only on the basis of general information and basis biochemical data. Even though advancements in the field of medicine make it easier to treat hypertension, there are still insufficiencies regarding the determination and evaluation of its risk factors. In this study, various risk factors used to diagnose were investigated by taking into consideration the individuals with common symptoms and complaints. Patient data were collected from a homeopathic medical practitioner. Present analysis predicts that Hypertrophy of Heart and allied, Stiffness of neck and Sensitivity to noise are most important risk symptom to predict hypertension.Keywords
Classification, Essential Hypertension, Random Forests Classifier, Confusion Matrix.References
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- M.P. Garcia-Vera, and J. Sanz, (2000). Tratamientos cognitivo-conductuales para la hipertension esencial. In L. Oblitas and Becona (Eds.). Psicologia de la salud. México: Editorial Plaza y Valdés.
- F. Turk, N. Barisci, A. Ciftci, Y. Ekmekci, “Comparison of Multi Layer Perceptron and Jordan Elman Neural Networks for Diagnosis of Hypertension”, Intelligent Automation & Soft Computing, Volume 21, Issue 1, 2015.
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- DM Farid, L Zhang, CM Rahman, MA Hossain, R. Strachan Hybrid decision tree and naı¨ve Bayes classifiers for multiclass classification tasks. Expert Syst Appl 2014;41(4):1937–46.
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- Novruz ALLAHVERDI, Serhat and TORUN Ismail SARITAS, 2007 “Fuzzy Expert System Design for Determination of Coronary Heart Disease Risk” International Conference on Computer Systems and Technologies .
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- “Fuzzy Based High Blood Pressure Diagnosis” by Vishal Chandra, Pinki Singh et. al. International Journal of Advanced Research in Computer Science & Technology (IJARCST), Vol. 2, Issue 2, Ver. 1 (April - June 2014),[ ISSN : 2347 - 9817 ].
- B. Sumathi, and Dr A. Santhakumaran. “Pre-diagnosis of hypertension using artificial neural network.” Global Journal of Computer Science and Technology 2011.
- Samant, Rahul, and Srikantha Rao. “Evaluation of Artificial Neural Networks in Prediction of Essential Hypertension.” International Journal of Computer Applications 2013.
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- F Basciftci. A Eldem. “Using reduced rule base with Expert System for the diagnosis of disease in hypertension”, Medical and Biological Engineering & Computing 2013; 51:1287–1293.
- S.Ray, A.C. Mondal, A. Neogi, “Studies on performance evaluation of homeopathic treatment in hypertension using principal component analysis”, IMS Manthan, , vol. X, Issue I, Jan-June, 2015
- DR Cutler, Edwards Jr TC, Beard KH, Cutler A, Hess KT, Gibson J, Lawler JJ. Random forests for classification in ecology. Ecology 2007;88(11):2783–92.
- B Ghimire, J Rogan, J. Miller Contextual land-cover classification: incorporating spatial dependence in land cover classification models using random forests and the Getis statistic. Remote Sens Lett 2010;1(1):45–54.
- Gislason PO, Benediktsson JA, Sveinsson JR. Random forests for land cover classification. Pattern Recogn Lett 2006;27 (4):294–300.
- L Guo, N Chehata, C Mallet, S. Boukir Relevance of airborne lidar and multispectral image data for urban scene classification using random forests. ISPRS J Photogrammetry Remote Sens 2011;66(1):56–66.
- Chen XW, Liu M. Prediction of protein–protein interactions using random decision forest framework. Bioinformatics 2006;21(24):4394–400.
- O¨ zc- ift A. Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis. Comput Biol Med 2011;41(5):265–71.
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- JI Titapiccolo, M Ferrario, S Cerutti, C Barbieri, F Mari, E Gatti, MG. Signorini Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients. Expert Syst Appl 2013;40(11):4679–86.
- L. Breiman Random forests. Mach Learning 2001;45(1):5–32.
- http://journal.r-project.org/archive/2009-2/RJournal_2009-2_Williams.pdf
- A Study to Identify the Manner of Death in Head Injury Using Classification Model
Abstract Views :507 |
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Authors
Affiliations
1 Department of Computer Science, The University of Burdwan, Golapbag, Burdwan- 713104, IN
2 Department of Forensic & State Medicine, Burdwan Medical College, Burdwan- 713104, IN
3 Department of Computer & Information Science, Dr. B. C. Roy Engineering College, Durgapur-713206, IN
1 Department of Computer Science, The University of Burdwan, Golapbag, Burdwan- 713104, IN
2 Department of Forensic & State Medicine, Burdwan Medical College, Burdwan- 713104, IN
3 Department of Computer & Information Science, Dr. B. C. Roy Engineering College, Durgapur-713206, IN
Source
Indian Science Cruiser, Vol 32, No 3 (2018), Pagination: 26-35Abstract
Head injury is the leading cause of death found at medico legal autopsy. This may be due to various mechanisms and thereby the nature of death in fatal head injury assumes utmost importance in forensic practice. It is often expected and hence required that a forensic pathologist apart from ascertaining the cause of death should indicate the nature of death. This has to be done on a sound scientific and objective manner as far as possible. There is need for an autopsy proven method to broadly classify the wounds into homicidal blows, accidental trauma and fall from height. The present investigation is designed to explore a classification model for identifying the nature of death from head injury.Keywords
Principal Component Analysis, Classification, Head Injuries, Burdwan Medical College, Autopsy, Eigenvalues, Forensic, Skull.References
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- Treatment for Essential Hypertension Using Principle Component Analysis”, The Journal of Management, Information Technology and Journalism, IMS Manthan, Noida(India),Jan-June 2015; Vol. X, Issue 1
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- Silver Colloidal Nanoparticle, a Safe Natural Alternative Immunity Booster for Combating Pathogens Including SARS-CoV2: An Overview
Abstract Views :386 |
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Authors
Affiliations
1 Dr. B. C. Roy Engineering College, Durgapur, IN
1 Dr. B. C. Roy Engineering College, Durgapur, IN
Source
Indian Science Cruiser, Vol 34, No 3 (2020), Pagination: 38-49Abstract
Antibiotic resistant microbes are now considered epidemic in whole world. Most of the antibiotic disinfect about half a dozen microbes while the silver nanoparticles in the form of colloidal silver fights against almost all microorganisms and produce a constraint for multiplication. Most importantly while conventional antibiotic cannot build as much as opposing to the action of microbes as compared to silver. Pure colloidal silver when prepared appropriately is a special preparation of trace minerals. It is much safe for the usage and also makes a significant resistance on the said microorganism. In this review study, there is an effort to prove elaborately of silver nanoparticles on the effect of human body, where appropriately prepared colloidal silver is fully non-toxic, noncarcinogenic, internally and externally applicable to fight broad-spectrum germs. It is disinfectant that works on human bodies. Silver nanoparticles in colloidal formare more effective against various pathogens. Nowadays, SARS-CoV2 is responsible for pandemic COVID-19 all over the world. We hypothesize colloidal silver as a significantly effective, natural safe alternative of recent days against SARS-CoV2. It was found the relation between low silver level and illness in human body. Those people having low silver level have high chance to fall sick with cold, flu, fever and other illness. Silver also boost up immune system of our body. It assists fibroblast cell to repair the injured tissues.Keywords
Silver, Nanoparticles, Colloidal, SARS-CoV2, Antiviral Agent, Pathogens, Antibiotic Resistance, Immunity Booster, Natural Healer, Microbes.References
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