Informatics Publishing Limited

S. Ganapaty , G. V. K. Srilakshmi , P. Steve Thomas , N. Raja Rajeswari , S. Ramakrishna

Abstract

In the present study we analyzed the cytotoxicity on RAW and HT-29 cell lines by MTT assay and antiprotozoal activity on Trypanosoma, Leishmania and Plasmodium parasites of different flavonoids isolated from three species of Tephrosia, T. calophylla, T. pulcherrima and T. pumila. Pulcherrimin exhibited toxicity towards RAW and HT-29 cell lines at low concentrations. Candidone, millettone and pongachin showed toxicity towards HT-29 cell lines at low concentrations. The isolated compounds were characterized by spectral data, including 2D NMR, ¹H-¹H COSY and ¹³C-¹H COSY experiments.

Keywords

Cytotoxicity, Antiprotozoal, Flavonoids, T. calophylla, T. pulcherrima, and T. pumila

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B. Rama Bhupal Reddy ¹, S. Ramakrishna ²

Affiliations
1 Associate Professor, Dept. of Mathematics, K.S.R.M.C.E., Kadapa, IN
2 Professor, Dept. of Computer Science, S.V. University, Tirupati, IN

Abstract

This paper deals with the buoyancy effects on laminar mixed convection in vertical channel is considered. Solutions of the governing parabolic equations are obtained by the use of an implicit finite difference technique coupled with a marching procedure. The velocity, the temperature and the pressure profiles are presented graphically for different values of governing parameters like buoyancy parameter Gr/Re and Prandtl number Pr and their behaviour is discussed.

Keywords

Mixed Convection, Vertical Channel, Buoyancy Effects

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Mishra Debidani ¹, S. Ramakrishna ², Nayak Bhabani Shankar ¹, P. Ellaiah ¹

Affiliations
1 Department of Pharmacognosy, Faculty of Pharmacy, Jeypore College of Pharmacy, Rondapalli, Jeypore - 764002, Koraput, Odisha, IN
2 Department of Pharmacognosy, Faculty of Pharmacy, College of Pharmaceutical Sciences, Mohuda, Berhampur – 760002, Odisha, IN

Abstract

Eupatorium odoratum Linn is found in the tribal area of Baipariguda (Dist: Koraput) and extensively used traditionally by the tribal people as anthelmintic, antibacterial, antifungal and wound healing agent. The present study is an attempt to preliminary investigation of phytochemical constituents and to explore the wound healing property of the ointments prepared from solvent extracts (Petroleum ether, ethanol and chloroform). The phytochemical studies indicated that the tests for alkaloids, tannins and phenolic compounds were positive while the tests for anthraquinone glycosides, proteins, amino acids and saponins were negative for all extracts. Other chemical tests exhibited varying results. The various doses of ointment extracts were evaluated for their wound healing activities on healthy Wistar rats by excision wound models. All extracts showed wound healing activity and activities are well compared with the standard drugs (neosporin and betadine). When the dose of the extract is increased, a gradual increase in wound healing activity was observed. Among all the extracts (ointments), ethanolic extract containing ointment showed better wound healing activity over the others and even in comparison to standard drugs.

Keywords

Eupatorium odoratum, Wound Healing, Phenolic Compounds.

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P. C. Nissimagoudar ¹, Venkatesh R. Mane ¹, Nalini C. Iyer ¹, S. Ramakrishna ¹, M. R. Kiran ¹, K. M. Uma ¹, A. B. Raju ¹, Anisha W. Joseph ¹, K. Hemanthraj ¹, B. L. Desai ¹, Ashok Shettar ¹

Affiliations
1 B.V. Bhoomaraddi College of Engineering and Technology, Hubli, IN

Abstract

This paper presents the details of hands on course instruction attempted for the undergraduate programme for automotive electronics course in electrical sciences using virtual industry platform. The design of an Electronic Control Unit for an integrated engine and safety management system developed as part of course project on Automotive Electronics at the undergraduate level in Engineering in the multidisciplinary electrical sciences is proposed. The paper also proposes a course delivery mechanism model based on learn-by-doing approach to incorporate a practical hands-on on the design and validation of automotive control systems to enhance the specifi c learning outcome during the course delivery. The details of a virtual industry platform adopted for the course delivery to impart a team level project delivery and management experience to both the students and the faculty are presented.

Keywords

Automotive Electronics, Course Projects, Integrated Experience, Project Managers, Requirement Document, Sub-Module Design.

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Ashok Shettar ¹, B. L. Desai ¹, Nalini C. Iyer ¹, K. M. Uma ¹, A. B. Raju ¹, C. D. Kerur ¹, P. C. Nissimagoudar ¹, Venkatesh Mane ¹, S. Ramakrishna ¹, M. R. Kiran ¹, Sanjay Eligar ¹, Anil Badiger ¹, Anisha Joseph ¹

Affiliations
1 B.V. Bhoomaraddi College of Engineering and Technology, Hubli, IN

Abstract

This paper presents details of an industry institute engagement evolved for effectively bridging the gaps & creating readily deployable manpower with the requisite talent and skill set for the automotive industry. The success story presented brings out the details of conceptualization, curriculum design and course delivery model for an interdisciplinary course on automotive electronics at the under graduate engineering program in electrical sciences. Issues of very strong involvement of the industry at different levels of the engagement, including the commitment of the top Management from both sides, and the dedication of the teams involved are discussed. How the faculty from the electronics background have worked together with the faculty from the automobile background to make this successful are brought out. The significant outcomes of this initiative in terms of learning takeaways, improvement in job readiness of the graduates and influence on research initiatives in various relevant domains are presented.

Keywords

Industry-Institute Interaction, Automotive Electronics, Course Design, Industry-Specific Skills.

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Annaluri Sreenivasa Rao ¹, S. Ramakrishna ², P. Chitti Babu ³

Affiliations
1 Department of Computer Science and Engineering, MRCE, Hyderabad - 500100, Telangana State, IN
2 Department of Computer Science,Sri Venkateswara University,Tirupathi - 517502, Andhra Pradesh, IN
3 Annamacharya PG College of Computer Studies, Rajampet - 516126, Andhra Pradesh, IN

Abstract

Background/Objective: Unsupervised learning of text documents is an essential and significant process of knowledge discovery and data mining. The concept, context and semantic relevancy are the important and exclusive factors in text mining, where as in the case of unsupervised learning of record structured data, these factors are not in scope. Methods/Statistical Analysis: The current majority of benchmarking document clustering models is keen and relies on term frequency, and all these models are not considering the concept, context and semantic relations during document clustering. In regard to this, our earlier works introduced a novel document clustering approaches and one of that named as Document Clustering by Conceptual, Contextual and Semantic Relevance (DC3SR). The lessons learned from the empirical study of this contribution motivated us to propose aMulti-Objective Distance based optimal document Clustering (MODC) approach that optimizes resultant clusters using the well-known evolutionary computation technique called Genetic Algorithm.Findings: The significant contribution of this proposal is feature formation by concept, context and semantic relevance and optimizing resultant clusters by genetic algorithm. An unsupervised learning approach to form the initial clusters that estimates similarity between any two documents by concept, context and semantic relevance score and further optimizes by genetic algorithm is proposed. This novel method represents the concept as correlation between arguments and activities in given documents, context as correlation between meta-text of the documents and the semantic relevance is assessed by estimating the similarity between documents through the hyponyms of the arguments. The meta-text of the documents considered for context assessment contains the authors list, keywords list and list of document versioning time schedules. Application/Improvements:The experiments were conducted to assess the significance of the proposed model.The results obtained from experiments concluding that the MODC is performing exceptionally well under divergent document count and evincing the cluster formation accuracy as 97%. The dimensionality reduction by concept, context and semantic relevance is left for future enhancement of the proposed model.

Keywords

Concept Distance,Context Distance, Document Clustering, Meta-text,MODC, Multi Objective Distance Function, Text Mining, Unsupervised Learning.

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Singh Kumar Rakesh ¹, S. Ramakrishna ¹, Patel Singh Pankaj ², Gupta Pragya ³

Affiliations
1 College of Pharmaceutical Sciences, Mohuda, Berhampur, Orissa, IN
2 Indira Gandhi Institute of Pharmaceutical Science, Bhubaneswar, Orissa, IN
3 Biotech Park, Lucknow, Uttar Pradesh, IN

Abstract

A novel, simple, sensitive and rapid nanodrop spectrophotometric method was developed for the estimation of Ranitidine hydrochloride in bulk and its pharmaceutical tablet dosage form. Ranitidine hydrochloride exhibiting maximum absorbance at 316 nm in distilled water and obeyed linearity in the concentration range of 5-100 ppm. The proposed method has been applied successfully for the analysis of Ranitidine hydrochloride either in bulk or pharmaceutical tablet dosage form with good accuracy and precision. The method herein described can be employed for quality control and routine analysis of Ranitidine hydrochloride in pharmaceutical tablet dosage form.

Keywords

Ranitidine Hydrochloride, Nanodrop Spectrophotometry, Maximum Absorbance, Bulk.

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M. Jayakameswaraiah ¹, R. Pinakapani ¹, Ravi Dandu ¹, S. Ramakrishna ²

Affiliations
1 School of Computer Science and Applications, REVA University, Bangalore, Karnataka, IN
2 Department of Computer Science, Sri Venkateswara University, Tirupati, Andhra Pradesh,, IN

Abstract

The classification models in data mining consists of decision tree, neural network, genetic algorithm, rough set, statistical model, etc. In this research, we have proposed and deliberated a new algorithm called Upgraded Random Forest, which is applied for the classification of sensor discrimination dataset. Here we considered for classification of multisource Sensor Discrimination data. The Upgraded RF approach becomes extreme attention for multi-source classification. The methodology which we are developed is not only a nonparametric but it also applies for the assessment and significance of the specific variables in the classification.

Keywords

Data Mining, Classification, Decision Stump, Random Forest and Upgraded RF.

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Suneel Kumar Duvvuri ¹, S. Ramakrishna ²

Affiliations
1 Department of Computer Science, Government College (Autonomous), Rajahmundry, Andhra Pradesh, IN
2 Department of Computer Science, S V University, Tirupati, Andhra Pradesh, IN

Abstract

Due to adverse characteristics such as open medium, recurrent restructuring of paths, power constraints, and high mobility of MANETs, the nodes and links failed frequently. These failures increase the control overhead because of the tedious route discovery process. Thereby the performance of the network diminished drastically. Devising an efficient on-demand routing protocol with fault tolerance is a challenging task. Detecting and removal of these faulty nodes during data transmission without affecting the communication flow is very critical because of the unavailability of path information. The research challenge of designing the effective fault tolerant routing protocol for MANET is addressed in this study. An Adaptive Neuro-Fuzzy Inference System was utilized to create a fault-tolerant routing system. The fault tolerant routing protocols based on numerical estimation are discussed. Simulation results have attested that the suggested approach considerably boosts the Packet Delivery Ratio while lowering the Routing Overhead.

Keywords

MANET, Fuzzy Inference System, ANFIS, Hybrid Neural Network, ANN, Fault Tolerance, AODV, RSSI.

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