Informatics Publishing Limited

M. Subramaniam ¹, D. Manjula ²

Affiliations
1 Department of Computer Science and Engineering at Tagore Engineering College affiliated to Anna University, Chennai, IN
2 DCSE, CEG, Anna University, Chennai-25, IN

Abstract

The performance of Concurrent Multipath Transfer using SCTP Multihoming (CMT) having limited-receive buffer (lim_rbuf) is analyzed. The CMT performance is studied, when a sender having limited buffer by means of receiver buffer lim_rbuf-bifurcation pattern. This is demonstrated using simulation that if three paths are used for CMT, the lower quality (i.e., higher loss rate) path degrades overall throughput of a lim_rbuf -constrained CMT association by blocking the lim_rbuf. It is substantiated that a wise buffer lim_rbuf-bifurcation pattern along with recently contrived retransmission policy can relieve some of the throughput degradation by reducing the rbuf-blocking problem. Here CMT performance is studied and discussed only in asymmetric path delays using lim_rbuf- bifurcation pattern and constrained rbuf values of 128KB, 256KB, 512KB and 1024KB. While lim_rbuf blocking can be minimized by choice of rbuf-bifurcation pattern along with recently contrived retransmission policy improves the performance of rbuf-blocking problem - a facility that is operable to only the transport layer.

Keywords

Concurrent Multipath Transfer (CMT), lim_rbuf, pprv_tpdu, pnxt_tpdu, RTT, Rtx-CSL+lim_rbuf.

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D. Prakash ¹, K. Murugesan ¹, J. Indumathi ², D. Manjula ²

Affiliations
1 Anna University, Chennai, IN
2 Department of Computer Science and Engineering, Anna University, Chennai, IN

Abstract

In this paper a novel technique is proposed for the prediction of cardiac disease and its classification using intelligent agents. Initially seventy six heart attack symptoms are preprocessed using filter and wrapper based agents .The filter removes the missing or irrelevant symptoms. Wrapper is used to extract the data in the data set according to the expert’s threshold constraints. Dependency of each symptom is identified using dependency checker agent. The classification is based on the prior and posterior probability of the symptoms with the evidence value. As a result classifier agent classify the nature of heart attack patients in to five classes depending on the severity namely absence, starting, mild, moderate, serious. The posterior probability of the class is calculated by the ratio of the product of posterior probability of symptoms and prior probability of the class to the prior probability of the input symptoms. Using the cooperative approach the cardiac problem is solved and verified.

Keywords

Traditional Chinese Medicine (TCM), Naive Bayesian Classification (NBC), Bayesian Networks (BN).

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R. Suganya Devi ¹, A. P. Chitra ¹, D. Manjula ¹

Affiliations
1 Department of Computer Science and Engineering, Anna University, CEG Campus, Chennai - 600025, Tamil Nadu, IN

Abstract

Search engines play their vital part in building ranking algorithms. Product Recommendation systems is a business activity which involves ranking to fulfill customer needs among the competitors. In our work, similar queries are extracted using Memory based Collaborative Filtering (MCF) and those individual ranked lists are combined to produce single superior ranked lists using Top-k Event Scanning (TES) approach, a rank aggregation algorithm which employs B+ trees for indexing. Experimental results shows that the performance is achieved 90% more than the other existing methods.

Keywords

Indexing, Queries, Ranking, Recommendation, Similar, Top-K, Users.

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K. M. Lokamatha Swamy ¹, D. Manjula ², S. M. Shanta Kumar ¹, N. Rama Rao ¹, Somshekar Shyale ¹, R. Suma ¹

Affiliations
1 Department of Pharmaceutics, V.L. College of Pharmacy, Raichur- 584103, Karnataka, IN
2 Dayananda Sagar College of Pharmacy, Shavige Malleshwara Hills, Kumarswamy layout, Bangalore-560078, Karnataka, IN

Abstract

The objective of this study was to develop, characterize and evaluate mucoadhesive microcapsules of flurbiprofen with a coat consisting of sodium alginate in combination with other mucoadhesive polymers such as sodium carboxy methylcellulose (sodium CMC), methyl cellulose (MC), carbopol and hydroxy propyl methyl cellulose (HPMC) by an emulsification-ionic gelation process for prolonged gastrointestinal absorption. The microcapsules were prepared by an emulsification-ionic gelation process. The microcapsules were evaluated for physical characteristics such as particle size, particle shape and surface morphology by scanning electron microscopy, and other parameters like drug entrapment efficiency, in vitro mucoadhesion by everted intestinal sac technique and in vitro drug release characteristics. The USP Rotating Basket method was selected to perform the dissolution profiles carried out in 900 ml of phosphate buffer of pH 7.2. The resulting microcapsules were discrete, small, and fairly spherical and free flowing. Microencapsulation efficiency was 60.92% to 87.74% and relatively high with alginate-carbopol and low with alginate-MC combinations. On the contrary, alginate-carbopol shown lower strength of mucoadhesion and high percentage of mucoadhesion was observed with alginate-MC combination. Flurbiprofen release from these mucoadhesive microcapsules was slow, extended over longer periods of time and depended on the combination of mucoadhesive polymer. The highest percentage of drug release was observed with alginate-hydroxy propyl methyl cellulose. Drug release kinetics from these formulations corresponded best to Higuchi model. The release of the model drug from these mucoadhesive microcapsules was prolonged over an extended period of time and the drug release mechanism followed anomalous (non- Fickian) diffusion controlled as well as Case II transport. By providing intimate contact of dosage form with the absorbing surface, bioavailability of drug could enhanced which in turn improves pharmacological effect. As a result, oral controlled release dosage form to avoid serious gastrointestinal adverse effects commonly associated with the model drug was achieved by the principle of mucoadhesion.

Keywords

Flurbiprofen, Hydroxy Propyl Methyl Cellulose, Sodium Carboxy Methyl Cellulose, Methyl Cellulose, Microcapsules.

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U. Kanimozhi ¹, J. K. Kavitha ¹, D. Manjula ¹

Affiliations
1 Department of Computer science and Engineering, Anna University, Chennai, IN

Abstract

Association rule mining (ARM) plays a vital role in data mining. It aims at searching for interesting pattern among items in a dense dataset or database and discovers association rules among the large number of itemsets. The importance of ARM is increasing with the demand of finding frequent patterns from large data sources. Researchers developed a lot of algorithms and techniques for generating association rules. Since the traditional ARM approaches consider the utility of the items by its presence in the transaction set. An emerging topic in the field of data mining called Utility Mining has evolved. Since the frequency of itemset is not sufficient to reflect the actual utility of an itemset. The main objective of Utility Mining is to identify the itemsets with highest utilities, by considering profit, quantity, cost or other user preferences. Mining High Utility itemsets from a transaction database is to find itemsets that have utility above a user-specified threshold. Mining Itemset Utility is an extension of Frequent Itemset mining, which discovers itemsets that occur frequently. Several researches about itemset utility mining were proposed. Here, a literature survey of various algorithms for high utility itemset mining has been presented.

Keywords

Data Mining, Association Rule Mining, Frequent Pattern Mining, Utility Mining and High Utility Itemsets.

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