Chavan R.T.,Toshniwal College |
Kadam A.S.,Dsm College |
Kote J.R.,Srtm University
Der Pharmacia Lettre | Year: 2016
The present research was carried out to investigate the HPTLC fingerprint analysis and antimicrobial activity of various extracts of leaves of Cassia fistula L. Preliminary phytochemical screening was done by the methods of Treas and Evans and sofowora. The HPTLC analysis were carried out as Harbone and Wagnar et. al. described. The phytochemical screening showed the presence of alkaloids, carbohydrates, glycosides, saponins, triterpenes, tannins, flavonoids, photobatalin and anthraqunies in methanol and aqueous extracts of leaf. The analysis of methanolic extract of leaves by HPTLC confirmed the presence of flavonoids(Peak 4) and alkaloids(Peak 3).The in vitro antimicrobial activity was performed by agar well diffusion method of Perez et. al.,. Of the different extracts methanol, ethanol and aqueous extracts showed significant antimicrobial activity against gram negative bacteria P. aeruginosa and S. aureus also.This study concluded that leaf of C.fistula L. possess significant flavonoids and alkaloids which might be a responsible active principle for the antimicrobial activity.
Kalyankar N.V.,Yeshwant College |
Khanale P.B.,DSM College
Proceedings of the 2013 International Conference on Information Systems and Computer Networks, ISCON 2013 | Year: 2013
Precision agriculture is finding its roots in India. PA always deals with the accuracy and timely information about agriculture products. With the rapid development of computer hardware and software technology, the application of image processing technology in the agricultural research are playing key role . Also, with the advantages of superior speed and accuracy, computer vision has attracted it as an alternative to human inspection . In this paper, we have described a novel application of computer vision and color image segmentation for automating the precise yield prediction process of gerbera flower yield from the polyhouse images. The purpose of the present study is to design a decision support system that could generate flower yield information and serve as base for management & planning of flower marketing. Current study has applied the color image segmentation technique using threshold, to extract the flowers from the scene. Color is considered a fundamental physical property of agriculture products and foods in information analysis . Using HSV color space and histogram analysis, flower color definition is done. Then by the image segmentation process, flowers were separated from the background & detected in the images. Image set with 75 images were tested with this technique. © 2013 IEEE.
Mane P.C.,Swami Ramanand Teerth Marathwada University |
Bhosle A.B.,Swami Ramanand Teerth Marathwada University |
Kadam A.S.,Dsm College
Indian Journal of Environmental Protection | Year: 2010
The application of adsorption for removal of heavy metals is quite popular and activated carbon is used as an adsorbent. However, high cost of its preparation and regeneration has led to search for alternative sorbents, especially in the developing countries. Iron is an essential trace metal for nearly all the living organisms, but it may be toxic if consumed beyond the limit. Iron can be released into the environment thoroughly various sources, like steel industries. There are number of methods available for the removal of iron. However, in this study activated carbon from tendu leaves, a solid waste of bidi industry has been used as an adsorbent for the removal of iron from the aqueous solution. Parameters, such as adsorbent dosage, concentration of adsorbate contact time and pH were optimized with regard to iron removal using the selected adsorbent. The adsorption of iron was found to be concentration and pH dependent. Percent removal of iron increased with decrease in pH and increase in adsorbent dosage. The analysis of iron metal was done by thiocyanate method using UV spectrophotometer. Thus adsorption technique using activated carbon from tendu leaves is found to be an efficient method for removal of metals, like iron from aqueous solution. © 2011-Kalpana Corporation.
Patange S.M.,Shrikrishna College |
Shirsath S.E.,Dr Bam University |
Lohar K.S.,Shrikrishna College |
Jadhav S.S.,Dsm College |
And 2 more authors.
Physica B: Condensed Matter | Year: 2011
Nickel-aluminum ferrite system NiAlxFe2-xO 4 has been synthesized by wet chemical co-precipitation method. The samples were studied by means of X-ray diffraction, d.c. electrical resistivity, a.c. electrical resistivity, a.c. conductivity and switching properties. The XRD patterns confirm the cubic spinel structure for all the synthesized samples. The crystallite size calculated from XRD data which confirm the nano-size dimension of the prepared samples. Electrical properties such as a.c. and d.c. resistivities as function of temperature were studied for various Al substitution in nickel ferrite. The dielectric constant and dielectric loss tangent were also studied as a function of frequency. The dielectric constant follows the MaxwellWagner interfacial polarization. A.C. conductivity increases with increase in applied frequency. The d.c. resistivity decreases as temperature increases, which indicate that the sample have semi-conducting nature. Verwey hoping mechanism explains the observed variation in resistivity. The activation energy is derived from the temperature variation of resistivity. Electrical switching properties were studied as IV measurements. The current controlled negative resistance type switching is observed in all the samples. The Al substitution in nickel ferrite decreases the required switching field. © 2010 Elsevier B.V. All rights reserved.
Bhuktar J.J.,Institute of Science |
Manwar A.V.,Dsm College
Journal of Pure and Applied Microbiology | Year: 2010
Biological oxidation of organic dyes is important for textile industry wastewater treatment. Decolorization of four textile sulfonated azo dyes (Direct Blue 71, Direct Yellow12, Acid Black 210, and Reactive Black S) by six bacteria 1E1 [Citrobacter freundii) , IE2(Xenoranadus luminescence) and IE3 [Enterobacter chace ) IE4 and IS1[Pseudomaonas species) ISEW (Enterobacter agglomerans Aerogenic strain Biotype-G2) isolated from two textile industry effluents, soil and sewage was studied. These isolates showed significant dye decolorization with a percent decolorization in range of 66.1% to 93.9% (Direct Blue 71), 26.73% to 92.46% (Direct Yellow12), 39.6% to 91.6% (Reactive Black 5), and 27% to 87.7% (Acid Black 210) under strict aerobic condition, at room temperature (RT) and neutral pH within 24h.
Khanale P.B.,Dsm College |
Ambilwade R.P.,Vivekanand College
Journal of Artificial Intelligence | Year: 2011
Fuzzy sets have been applied in medical field where uncertainty plays a major role. Medicine, often on the borderline between science and art, is an excellent example where vagueness, hesitation, linguistic uncertainty, measurement imprecision, natural diversity and subjectivity are prominently present in medical diagnosis. Medical diagnosis is a problem complicated by many and manifold factors and its solution involve all of a human's abilities including intuition and the subconscious. Fuzzy logic is used in diagnosis of pulmonary embolism, cortical malformations, rheumatic and pancreatic diseases, hepatitides and diabetes. Fuzzy inference system is a linguistic frame work by which human thinking process can be modeled. In this study we are presenting a fuzzy inference system that will diagnose the thyroid disease specially a major disorder known as Hypothyroidism. It is the most common thyroid disorder today. Because of uncertain symptoms, it is very difficult to diagnose the disease. Particularly in rural part of India, the correct diagnosis of the disease for female patients takes place at a very later stage and hence the patient suffers physically and economically. An accuracy of 88% is achieved in diagnosis of hypothyroidism. Such system is helpful for patients and doctors to identify disease at early stage. © 2011 Asian Network for Scientific Information.
Korde P.S.,Shri Shivaji College |
Khanale P.B.,Dsm College
Communications in Computer and Information Science | Year: 2013
Cache oblivious Algorithm is designed to in inherently form hierarchy of caches. It need not know about exact structure. In this paper, we present a cache oblivious B-tree and Sorting using accessing technique. The algorithm uses sequential access elements that are based on linking elements. We show that these data structure are linearizable appeared to serialized order that save memory. © 2013 Springer-Verlag.
Khanale P.B.,Dsm College |
Chitnis S.D.,Dsm College
Journal of Artificial Intelligence | Year: 2011
The reading skills of computer are still way behind that of human beings. Most character recognition systems cannot read degraded documents and handwritten characters or words. Devanagari, an alphabetic script, is used by over 500 million people all over the world. In this study, we are presenting a Devanagari handwritten character recognition system using Artificial Neural Network. Up to 96% recognition rate is achieved for certain characters. © 2011 Asian Network for Scientific Information.
Khanale P.B.,Dsm College
Journal of Artificial Intelligence | Year: 2010
Marathi language is an Indo-Aryan language. It is one of the most popular language used by over ninety million people in India and rest of the world. It is the official language of Government of Maharashtra State, India. Various commercial transactions such as bank transactions takes place in Marathi, particularly in rural part of Maharashtra State. Many times it is needed to process numerals written in Marathi through computer. Recognition of Marathi Numerals is required in various applications where Marathi data need to be processed. It is also the first step towards language understanding. Here, I have proposed a Artificial Neural Network System that can recognize numerals (0-9) written in Marathi language. The system perfectly recognizes ideal numerals and performs reasonably accurate for noisy numerals. © 2010 Asian Network for Scientific Information.
Khanale P.,Dsm College
IEEE International Conference on Electro Information Technology | Year: 2011
Human faces are full of information but their recognition by computer is a complex task. Recognition of faces is a routine task for humans and it is normally done by using various face features such as eyes, color of eyes, skin color, positions and shapes of nose, mouth and shapes of hair and its color. Keeping track of all this information is difficult for a computer system. Hence, only certain important and unique features are isolated and used for recognition of face. Here, we have attempted to produce an efficient principal component analysis and artificial neural network system to identify faces. The system gives 100% results for standard database for variation in pose and background. The system is also tested for locally created poor image quality database and its performance is satisfactory. © 2011 IEEE.