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Search Results: 1 - 10 of 3690 matches for " Rahila Patel "
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Review on Periodicity Mining Techniques in Time Series Data
Yogesh Malode , Rahila Patel
International Journal of Advanced Computer Research , 2012,
Abstract: The rapid growth in data and databases increased a need of powerful data mining technique that will guide to analyze, forecast and predict behaviour of events. Periodicity mining needs to give more attention as its increased need in real life applications. In this paper, we are going to discuss on various periodicity mining techniques in Time Series Databases as well as symbolization. Here, we propose a periodicity mining technique that will detect various periodic patterns (symbol periodicity, sequence or partial periodicity, segment or full cycle periodicity) in time series databases using Fast Fourier Transform.
Multimodal Optimization using Self-Adaptive Real Coded Genetic Algorithm with K-means & Fuzzy C-means Clustering
Vrushali K. Bongirwar,Rahila Patel
International Journal of Advanced Computer Sciences and Applications , 2011,
Abstract: Many engineering optimization tasks involve finding more than one optimum solution. These problems are considered as Multimodal Function Optimization Problems. Genetic Algorithm can be used to search Multiple optimas, but some special mechanism is required to search all optimum points. Different genetic algorithms are proposed, designed and implemented for the multimodal Function Optimization. In this paper, we proposed an innovative approach for Multimodal Function Optimization. Proposed Genetic algorithm is a Self Adaptive Genetic Algorithm and uses Clustering Algorithm for finding Multiple Optimas. Experiments have been performed on various Multimodal Optimization Functions. The Results has shown that the Proposed Algorithm given better performance on some Multimodal Functions.
Multi-Objective Optimization Using Multi Parent Crossover Operators
Rahila Patel,M.M.Raghuwanshi
Journal of Emerging Trends in Computing and Information Sciences , 2011,
Abstract: The crossover operator has always been regarded as the primary search operator in genetic algorithm (GA) be-cause it exploits the available information from the population about the search space. Moreover, it is one of the components to consider for improving the behavior of the GA. To improve performance of GA multi parent crossover operators have been used. Multi parent crossover operators involve sampling of features of more than two parent solution into the offspring that accelerated speed of convergence to global optima. These operators are based on some probability distribution and are gene-level parent centric crossover operators. In this work, we have used MPX (multi-parent crossover with polynomial distribution) and MLX (multi-parent cross-over with lognormal distribution) operators for multi-objective optimization. The performance of these operators is investigated on commonly used multi-objective functions. GA used for experimentation is Non-dominated Sort Genetic Algorithm-II (NSGA-II). It is observed that these operators work well with NSGA-II and have given encouraging results.
Performance Evaluation of Dynamic Particle Swarm Optimization
Ms. Hemlata S. Urade,Rahila Patel
International Journal of Computer Science and Network , 2012,
Abstract: In this paper the concept of dynamic particle swarmoptimization is introduced. The dynamic PSO is different fromthe existing PSO’s and some local version of PSO in terms ofswarm size and topology. Experiment conducted for benchmarkfunctions of single objective optimization problem, which showsthe better performance rather the basic PSO. The paper alsocontains the comparative analysis for Simple PSO and DynamicPSO which shows the better result for dynamic PSO rather thansimple PSO.
Performance Enhancement of Distributed Quasi Steady-State Genetic Algorithm
Rahila Patel,Urmila Shrawankar,MM. Raghuwanshi,Anil N. Jaiswal
Computer Science , 2013,
Abstract: This paper proposes a new scheme for performance enhancement of distributed genetic algorithm (DGA). Initial population is divided in two classes i.e. female and male. Simple distance based clustering is used for cluster formation around females. For reclustering self-adaptive K-means is used, which produces well distributed and well separated clusters. The self-adaptive K-means used for reclustering automatically locates initial position of centroids and number of clusters. Four plans of co-evolution are applied on these clusters independently. Clusters evolve separately. Merging of clusters takes place depending on their performance. For experimentation unimodal and multimodal test functions have been used. Test result show that the new scheme of distribution of population has given better performance.
The Professional Medical Journal , 2006,
Abstract: In properly evaluated patients full term abdominal pregnancy can be managed, although advancedabdominal pregnancy is a complex condition demanding challenging management. This care report describes caseof a young lady 35 years age who was diagnosed as a case of secondary abdominal pregnancy and was managedsuccessfully.
Anastomotic leak in colorectal surgery: a review
Rahila Essani,Roberto Bergamaschi
Polish Gastroenterology , 2009,
Abstract: Anastomotic leak is a major complication of colorectal surgery, leading to significant morbidity and mortality. This article focuses on defi-nitions of anastomotic and subclinical leaks, risk factors associated with anastomotic leaks, relevance of surgical rituals, and use of imaging studies in diagnosing leaks. Surgeon skill is one of the most important determinants of clinical anastomotic leakage after colorectal surgery. Other factors known to affect anastomotic healing include: blood supply, steroids, contaminated wound, and nutrition. Although a surgeon makes a decision about technique or a clinical judgment based largely upon personal preference and perception of a particular advantage, surgical rituals such as handsewn vs. stapled anastomois, use of pelvic drains, creation of defunctioning ileostomy are reviewed based on the literature available. Computed tomography (CT) imaging has been reported to be effective in identifying patients with anastomotic leaks and can detect intra-abdominal and perianastomotic abscesses, which can mimic the signs and symptoms of an anastomotic leak. However, water-soluble contrast enema seems superior to CTfor diagnosis of anastomotic leak.
The Professional Medical Journal , 2008,
Abstract: Tuberculosis is highly prevalent in developing countries like Pakistan and should be considered inthe differential diagnosis of patients with pelvic mass, ascites and raised serum CA 125 levels. A case of pelvictuberculosis with markedly raised serum CA 125 levels and initial diagnosis of ovarian tumour was made.
Sheikh Rahila,Karigar Asif
International Journal of Research in Ayurveda and Pharmacy , 2010,
Abstract: A rapid and sensitive reverse phase high performance liquid chromatographic methods depicted for the qualitative and quantitative assay of glipizide in pharmaceutical dosage forms. Glipizide was chromatographed on reverse phase C18 column with mobile phase consisting of 0.05 M Potassium Dihydrogen Orthophosphate: Methanol [15: 85 %v/v, pH 7.0 ± 0.05, adjusted with 1% Triethylamine]. The mobile phase was pumped at a flow rate 1 mL/min. Quantification was achieved by monitoring the ultraviolet absorbance at 225 ηm. The average retention time for Glipizide was found to be 3.21 ± 0.07. With this method, linearity was observed in the range of 10 – 2000 ηg/ml. The LOD and LOQ were found to be 5 ηg/ml and 15 ηg/ml respectively. The method was applicable for the analysis of drug in tablet formulation. The results of analysis were validated statistically.
Khatoon Humera,Najam Rahila
International Research Journal of Pharmacy , 2013,
Abstract: The aim of this study is to compare metabolic effects of acarbose and rosiglitazone, especially in controlling hyperglycemia and hypercholesterolemia. We have selected acarbose and rosiglitazone for the present study among various currently approved oral hypoglycemics. As diet is also an important component in diabetic therapy, effects of resistant starch diets (e.g. cooked cornstarch) on carbohydrate and lipid metabolism were also studied.The metabolic effects of the drugs were investigated and significant changes with respect to blood glucose levels, HbA1c along with lipids profile of drug-treated animals were compared with untreated animal after 7, 15 and 30 days. The experimental result showed excellent glycemic control when acarbose was administered alone. Acarbose along with cooked cornstarch diet produced a more favorable lipid profile, but with significant increased level (p<0.001) of triglycerides. These findings suggest that acarbose and acarbose along with cooked cornstarch are more effective in controlling hyperglycemia with more favorable lipid profile when compared with rosiglitazone.
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