Informatics Publishing Limited

C. Srinivas ¹, K. Ramji ², B. Satyanarayana ², Naveen Ravela ³

Affiliations
1 Department of Mechanical Engineering, RVR & JC College of Engineering, Guntur-522019, Andhra Pradesh, IN
2 Department of Mechanical Engineering, Andhra University, Visakhapatnam- 530003, Andhra Pradesh, IN
3 SCR Engineering College, Guntur-522619, Andhra Pradesh, IN

Abstract

The layout of a Flexible Manufacturing System (FMS) involves distributing different resources in the given FMS and achieving maximum efficiency of the services offered. With this in mind FMSs are designed to optimize production flow from the first stages as raw material to the finished product. Layout problems are known to be complex and are generally NP (non polynomial) hard. The problems of NP are not easily solvable within the deterministic time. The arrangement of workstations determines how long the materials have to travel and the associated material handling cost. Various heuristics and metaheuristics are used to solve NP hard problems. Out of these Genetic Algorithm (GA) and Ant Colony Optimization (ACO) are found to be effective metaheuristics to solve layout problems. Since the metaheuristics give a near optimal solution but not an accurate solution, for a large solution space, a single heuristic solution may not be appropriate especially when the number of workstations is large. Hence it is always important to obtain a solution for a layout problem by more than one technique like Genetic Algorithm, Ant Colony Algorithm. The objective of the present study is to find out the optimum FMS layout which yields minimum total transportation cost, by using Genetic Algorithm (GA) and Ant Colony Optimisation (ACO).

Keywords

Layout Design, Flexible Manufacturing Systems, Genetic Algorithm, Ant Colony Optimisation.

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G. Tulja Rani ¹, D. Gowri Sankar ², P. Kadgapathi ³, B. Satyanarayana ⁴

Affiliations
1 Department of Pharmaceutical Analysis, Sarojini Naidu Vanitha Pharmacy Maha Vidyalaya, Exhibition Grounds, Nampally, Hyderabad- 500001, IN
2 Department of Pharmaceutical Analysis and Quality Assurance, University College of Pharmaceutical sciences, Andhra University, Visakhapatnam- 530003, IN
3 Hetero Drugs Ltd., Balanagar, Hyderabad- 500055, IN
4 Neosun Biotech (India) Pvt. Ltd., Hyderabad 500007, IN

Abstract

The present work describes a reverse phase high performance liquid chromatographic method for the simultaneous estimation of drotaverine hydrochloride and nimesulide in combined dosage forms. Chromatography was performed on Phenomenex Luna C18 (250 × 4.6 mm i.d. and particle size 5 μm) column in isocratic mode with mobile phase containing acetonitrile: 0.3% triethylamine aqueous solution (adjusted to pH 3.0 using 1 % ortho phosphoric acid) in the ratio of 75:25v/v. The flow rate was 1.0 mL/min and effluents were monitored at 246 nm. The selected chromatographic conditions were found to be useful in separating drotaverine hydrochloride (run time 2.435 min) and nimesulide (run time 4.019 min). Linearity for drotaverine hydrochloride and nimesulide was found to be in the range of 0.5-100 and 1.0-200 μg/mL, respectively with linearity coefficient of 0.9998 and 0.9993. Percent recovery of the drugs was found to lie between 99.87- 100.13. The proposed method was validated by different parameters. It was found to be accurate, precise, reproducible and specific and hence can be used for simultaneous analysis of these drugs in combined dosage forms.

Keywords

Drotaverine, Nimesulide, Simultaneous, Validation.

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C. Ravikant ¹, O. Mahesh ², B. Satyanarayana ³

Affiliations
1 Depr. of Mech. Engineering, Priyadarshini College of Engg, Nellore-524 004, A.P., IN
2 Priyadarshini College of Engg, Nellore - 524 004, A.P., IN
3 Dept. of Mech. Engg., Andhra University, Visakhapatnam, A.P., IN

Abstract

Technical education plays a significant role for the economic progress and development of any country. For rapid and sustained development of the nation, the strong and well qualified technical manpower is a pre-requisite. It is realized that the number of Government technical institutions are insufficient to meet the requirements of technical manpower. Due to paucity of funds, Government pursued the policy of privatization, which resulted into mushrooming of large number of self-financed institutions. Now, the technical education has expanded quantitatively but quality of education imparted has fell down. To identify the possible areas for improvement of quality, the empirical study seeking the perceptions of faculty has been conducted. The methodology followed has been explained and the issues which need improvement for enhancing the qualify of education have been identified and discussed.

Keywords

Quality, Technical Education, Faculty, Facilities.

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B. Satyanarayana ¹, G. Ranga Janardhana ², D. Hanumantha Rao ³

Affiliations
1 Dept. of Mechanical Engg., VNR Vignana Jyothi Institute of Engg. & Technology, Hyderabad, IN
2 College of Engg., JNTU, Vizayanagaram, IN
3 Dept. of Mechanical Engg., MVSR Engineering College, Hyderabad, IN

Abstract

Inconel 718 is one of the most difficult-to-cut materials because of its low thermal diffusive property, high hardness, and high strength at high temperature. This paper presents a hybrid optimization approach for determination of the optimum turning process parameters (speed, feed and depth of cut) which minimize the Surface Roughness (SR) and maximize Metal Removal Rate (MRR) together in CNC high speed turning of Inconel 718 nickel based super alloy with uncoated tungsten carbide cutting tool. A multi-response optimization has been carried out by using Taguchi method based Grey Relational Analysis (GRA). Also the significant process parameters have been found out for the above process optimization by performing an ANOVA. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of the method. Validations of the modeled equations are proved to be well within the agreement with the experimental data.

Keywords

Inconel 718, Multi-Response Optimization, Grey Relational Analysis, Taguchi Method, ANOVA.

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M. Suresh Babu ¹, N. Geethanjali ², B. Satyanarayana ³

Affiliations
1 Intel Institute of Science, Anantapur, Andhra Pradesh, IN
2 Department of Computer Science, S.K. University, Anantapur, IN
3 Board of Studies, Department of Computer Science, Sri Krishnadevaraya University, Anantapur, IN

Abstract

Clustering is an adaptive procedure in which objects are clustered or grouped together, based on the principle of maximizing the intra-class similarity and minimizing the inter-class similarity. Various clustering algorithms have been developed which results to a good performance on datasets for cluster formation. This paper analyze the major clustering algorithms: K-Means, Hierarchical clustering algorithm and reverse K means and compare the performance of these three major clustering algorithms on the aspect of correctly class wise cluster building ability of algorithm. An effective clustering method, HRK (Hierarchical agglomerative and Recursive K-means clustering) is proposed, to predict the short-term stock price movements after the release of financial reports. The proposed method consists of three phases. First, we convert each financial report into a feature vector and use the hierarchical agglomerative clustering method to divide the converted feature vectors into clusters. Second, for each cluster, we recursively apply the K-means clustering method to partition each cluster into sub-clusters so that most feature vectors in each subcluster belong to the same class. Then, for each sub cluster, we choose its centroid as the representative feature vector. Finally, we employ the representative feature vectors to predict the stock price movements. The experimental results show the proposed method outperforms SVM in terms of accuracy and average profits.

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M. Neelakantappa ¹, B. Satyanarayana ², A. Damodharam ³

Affiliations
1 BITS, Kurnool, AP, IN
2 SK University, Anantapur, AP, IN
3 JNT University, Hyderabad, IN

Abstract

Ad hoc networks are autonomous systems composed of mobile hosts that are free to move around arbitrarily. Rather than relying on a network infrastructure to perform routing in an Mobile Ad hoc NETwork (MANET) each mobile host serves as a router to forward packets originated from other nodes. Proactive protocols are table driven, find routes between all source-destination pairs regardless of the actual need for such routes. Reactive protocols, on the other hand, are based on the reduction of the routing load by initiating new routing activities only in the presence of data packets in need of a route. Dynamic Source Routing (DSR) is a reactive routing method for ad-hoc wireless networks that floods route requests when the route is needed. DSR is appealing for ad hoc networks as a reactive routing protocol because of the lower routing overhead. However its performance is not ideal for the high dynamic ad hoc networks. As an optimization for the current DSR, a new adaptive routes selection scheme based on the stability of nodes was proposed in this paper, considered joint hop count and node stability. As shown with the simulations results, the enhanced-DSR has higher throughput and less end-to-end packets delay.

Keywords

DSR, Stable Adaptive, Ad Hoc Network.

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