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
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.
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.
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.