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Search Results: 1 - 10 of 551650 matches for " Patil S.S. And Adhiya K.P. "
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IMPLEMENTATION OF GUILT MODEL WITH DATA WATCHER FOR DATA LEAKAGE DETECTION SYSTEM
Jagtap N.P., Patil S.S. And Adhiya K.P.
Advances in Computational Research , 2012,
Abstract: In every enterprise, data leakage is very serious problem faced by it. An owner of enterprise has given sensitive data to its employee but in most of the situation employee leak the data. That leak data found in unauthorized place such as on the web of comparator enterprise or on laptop of employee of comparator enterprise or the owner of comparators laptop. It is either observed or sometimes not observed by owner. Leak data may be source code or design specifications, price lists, intellectual property and copy rights data, trade secrets, forecasts and budgets. In this case the data leaked out it leaves the company goes in unprotected the influence of the corporation. This uncontrolled data leakage puts business in a backward position. To find the solution on this problem we develop two models. First, when any employee of enterprise access sensitive data without the consent of owner in that case ,we developed data watcher model to identifying data leaker and suppose employee given data outside the enterprise for that we devolved second model for assessing the “guilt” of agents. guilt model are used to improve the probability of identifying guilty third parties.For implementing this system, we used SSBT’S COET, Bambhori, Jalgaon college database. In this system we consider, data owner is college management called as distributor and other employee is called as agents. For that we considered two condition sample or explicit condition because agents want data in sample or condition.
Growth of Catenaria anguillulae on different substratesfor its mass culture
S.S. VAISH and K.P. SINGH
Indian Phytopathology , 2012,
Abstract: Catenaria anguillulae has been reported to cause disease of nematodes and may be a potential biocontrol agent. Brans of wheat, rice, pea, pigeonpea, lentil and chickpea; meals of maize, soyabean and chickpea; straws of mustard, linseed, wheat and rice; and saw dust, farmyard manure and molasses were tested to identify a substrate that is most suitable for mass culture of C. anguillulae. Only six substrates supported the growth of the fungus, with maximum growth on wheat bran agar medium followed byfarmyard manure agar. Different concentrations of wheat bran were tested and a concentration of 6% supported maximum growth of the fungus. Wheat bran and sand along with 0.5% linseed oil-cake were tested in different ratios 3:97, 6:94, 12:88, 18:82, 24:76, 30:70, 50:50 and 75:25 for the mass culture of C. anguillulae. Wheat bran and sand (w:w) 12:88 showed very good growth of the fungus. Farmyard manure, pea bran and maize meal were also tested for mass culture and compared with wheat bran in the aboveratio (12:88). Wheat bran was superior to other substrates for mass culture of C. anguillulae.
Human Face Recognition Using Neural Networks
K.P. Geetha,S.S. Vadivelu,N.A. Singh
International Journal of Soft Computing , 2012,
Abstract: In this study, we present an artificial neural network-based face detection system. Unlike similar systems which are limited to detecting upright, frontal faces, this system detects faces at any degree of rotation in the image plane. The system employs multiple networks; the first is an orientation network which processes each input window to determine its orientation and then uses this information to prepare the window for identifier network. We present the training methods for both types of networks. We also perform performance analysis on the networks and present empirical results on a large test set. Finally, we recognize the face using Principal Component Analysis approach.
A New Approach For Recognizing Offline Handwritten Mathematical Symbols Using Character Geometry
DIPAK D.BAGE, K.P.ADHIYA, SANJAY S.GHARDE
International Journal of Innovative Research in Science, Engineering and Technology , 2013,
Abstract: There Are Several Problems In Pattern Recognition System Like Feature Extraction Problem And Identification, Pre-Processing And Classification Problem Etc. One Of The Application Domains In Pattern Classification Is Handwritten Character Or Symbolic Recognition. Identifying Handwritten Characters Is Always A Complex And Challenging Task For The Researchers. Wide Research Has Been Done On The Character Recognition But Handwritten Mathematical Symbol Recognition Still Remain Either Untouched Or Remarkably Less Research Has Been Done. This Is Also Treated As One Of The Subset Of Character Recognition. Hence The New Approach For Offline Handwritten Mathematical Symbol Recognition System Is Described Throughout This Paper. Proposed System Is Identified By Comparative Study Of Feature Extraction Techniques. For This Research, Character Geometry As Feature Extraction Technique And Support Vector Machine As A Classifier Is Proposed. Proposed System Can Be Useful In An Embedded As Well As Mobile Application. Also, It Can Be Useful While Converting Pdf Documents Into Word From Where Mathematical Symbols Can Be Correctly Identified. So Definitely It Will Be Feasible In Long Run.
Design And Implementation of Special Symbol Recognition System using Support Vector Machine
Sanjay S. Gharde,,Vidya A. Nemade,,K.P.Adhiya
International Journal of Innovative Technology and Exploring Engineering , 2013,
Abstract: Recognition of printed mathematical symbols is a subject of growing interest to automatically convert scientific paper documents into electronic form. Several methods have been proposed for recognition of printed and handwritten symbols. Symbol recognition in mathematical expressions is also difficult because there is a large character set with a variety of font styles and font sizes. Generally, in many applications, it is necessary to copy the contents from some original documents which may be in PDF like format. While accessing the data from that document, if it encounters symbols it remains unread in the copied document. So it is very difficult to read the original document. In proposed work, Discrete Cosine Transform method is used to extract the features of the symbol and Support Vector Machine, which performs the classification task used as classifier. Support Vector Machine provides the high accuracy at the time of classification.
Growth and population dynamics of Catenaria anguilluiae in relation to oilcakes
K.P. SINGH, P. BANDYOPADHYAY, S.S. VAISH, T. MAKESH KUMAR and R.C. GUPTA
Indian Phytopathology , 2012,
Abstract: Radial growth of seven isolates of Catenaria anguillulae was studied on beef extract agar and oilcake agar media. The oilcake agar consisted of linseed, mustard, sesamum, neem and mahua cake each @ 0.5 %. On beef extract agar, of all the seven isolates, I and VII were fast growing while isolate VI was slow growing. The other isolates, viz., isolate II, III, IV and V showed moderate growth on beef extract agar medium. All the isolates grew well on oilcake media except on mahua, which did not allow any growth of the fur.gus. The maximum growth of most of the isolates occurred on mustard or linseed oilcak
Efficacy of Raxil (tebuconazole) for controlling the loose smut of wheat caused by Ustilago segetum var. tritiei
L.B. GOEL, D.P. SINGH*, V.C. SINHA, AMERIKA SINGH, K.P. SINGH, A.N. TEWARI M.S. BENIWAL, S.S. KARWASRA, S.S.AUJLA and A.S. GREWAL
Indian Phytopathology , 2012,
Abstract:
FORMULATION AND EVALUATION OF METFORMIN HYDROCHLORIDE LOADED CHITOSAN MICROSPHERES
Sutar P.S,Sutar K.P,Sambrekar A.S,Patil V.S
Journal of Pharmaceutical and Scientific Innovation , 2012,
Abstract: The aim of proposed work is to obtain a sustained release of metformin hydrochloride by loading it into chitosan. Microspheres were prepared by emulsion cross linking method. Five batches of microspheres with different concentration polymer (F-1, F-2, F-3, F- 4 and F-5) were prepared. The prepared microspheres were evaluated for size analysis, drug loading, drug entrapment efficiency, SEM and in vitro drug release. FTIR studies revealed that there was no interaction between drug and polymer. In vitro release profile of all formulations showed slow controlled release up to 12 hrs. Formulation F-3 in the ratio 1:4 of drug and polymer showed best drug release of 78.78% in 12 hrs. Kinetic studies indicate that formulation F-3 followed first order release profile The size of the microspheres was found to increase with increase in concentration of polymers. Drug loading and drug entrapment efficiency was found to be in acceptable range. The dosing frequency was reduced and efficacy of the drug in treatment of diabetes was enhanced.
Follicular Dynamics in Crossbred cows undergoing prostaglandin induced luteolysis
Manjusha Patil,K.P. Khillare,S.K. Sahatpure and M.D. Meshram
Veterinary World , 2008,
Abstract: Growth and regression of ovarian follicles were studied in crossbred cows (n=6), induced with prostaglandin (PGF2 alpha) analogue for luteolysis. After PGF2 alpha treatment, four cows (Group A) ovulated from dominant follicle of first follicular wave and remaining 2 animals ovulated from second dominant follicle (Group B). The intervals from treatment to estrus (P<0.01) and treatment to ovulation (P<0.01) were significantly longer in animals of group B compared to the animals of group A. Significant differences were observed in growth profile of ovulatory follicle between animals of group A and group B with respect to daily growth rate (P<0.01), increase in diameter (P<0.01) and size of the follicle on day 0 (P<0.01). [Veterinary World 2008; 1(2.000): 42-44]
FORMULATION AND EVALUATION OF PULSED DRUG DELIVERY OF 5- FLUOROURACIL IN TREATING COLO-RECTAL CANCER
Joshi V.G,Sutar P.S,Sutar K.P,Patil Prakash
International Research Journal of Pharmacy , 2012,
Abstract: The proposed work aimed to develop a time dependent programmable pulsatile drug delivery system of 5-Fluorouracil, intended for chronotherapy in colorectal cancer. Various batches of tablets were prepared by direct compression method using microcrystalline cellulose (MCC). These tablets were coated with pH sensitive polymers like Eudragit S-100, cellulose acetate succinate(CAS) and Ethyl Cellulose (EC) at fixed concentration with different coating level (10% & 20%).The prepared tablets were evaluated for lag time and in vitro drug release. FTIR studies revealed that there was no interaction between drug and polymer. Lag time with Eudragit S-100 at (20% coating level) was 5 hrs, Cumulative drug released from the formulation ranged from 91-96% within 8-10 hrs. Drug released followed first order kinetics. The rapid release of the drug after a lag time consistent with requirement for chronotherapeutics was achieved. This approach provides a useful means for pulsatile/programmable release (with single pulse) of 5-Fluorouracil and may be helpful for patients suffering from cancer.
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