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Saraswathi, R.
- Design and Development of Secondary Clarifier for Paper and Pulp Industry with a Case Study
Abstract Views :302 |
PDF Views:0
Authors
N Raggul
1,
R. Saraswathi
2
Affiliations
1 Anna University, Chennai, IN
2 Coimbatore Institute of Technology, Coimbatore, IN
1 Anna University, Chennai, IN
2 Coimbatore Institute of Technology, Coimbatore, IN
Source
Indian Journal of Science and Technology, Vol 7, No 12 (2014), Pagination: 1939-1949Abstract
In this paper mathematical models were created using Artificial Neural Network (ANN) for designing the thickener area of the clarifier by correlating the process control parameters, including the mean cell residence time (θc), initial suspended solids concentration (Co), underflow concentration (Cu), and recycling ratio (R). The test data were applied to the neural network for each value of θc and R. A feed-forward ANN model had been proposed to predict the performance of secondary clarifier. The training time was varied between 0.009 and 22 s. The epochs required for the trained feed-forward network varied between 100 and 500. Training specifications of the ANN model determined that the error was 1e−5 and the training data required 139 epochs. The simulation results obtained by the ANN coincided well with the experimental data. This narrow band of error measured throughout the groups for the modelled parameters was an indication of the robustness of the ANN. Models such as the one developed in this study allow plant operators to assess the expected plant effluent, given the quality of the waste stream at input locations.Keywords
Activated Sludge Process, ANN, Paper And Pulp Effluent, Secondary Clarifier, Solid FluxFull Text
- The Evaluation and Comparison of the Efficacy and Safety of Ferrous Fumarate and Carbonyl Iron in Pregnancy Induced Iron Deficiency
Abstract Views :171 |
PDF Views:75
Authors
Affiliations
1 Department of Pharmacy Practice, Krupanidhi College of Pharmacy, Bangalore, IN
2 Al Shifa College of Pharmacy, Kerala, IN
1 Department of Pharmacy Practice, Krupanidhi College of Pharmacy, Bangalore, IN
2 Al Shifa College of Pharmacy, Kerala, IN
Source
Journal of Pharmaceutical Research, Vol 14, No Special Ed (2015), Pagination: 53-53Abstract
Iron deficiency anemia is the commonest medical disorder to occur in pregnant women affecting around 80% of the pregnant females.The objective of the study was to compare the efficacy and tolerability of a marketed formulation containing ferrous fumarate and carbonyl iron in the treatment of pregnancy induced ID. This is a prospective study with a total of 300 pregnant females. And they were randomly assigned into two groups of 150 each and were allocated to receive formulation A, LIVOGEN- Z or formulation B, CARBOFER-Z.
The enrolled patients were followed up after every 4 weeks during which their Efficacy evaluation was noted using hemoglobin value and Clinical safety was evaluated based upon the nature and severity of adverse effects.
The response and tolerability to therapy was recorded on a 5-point rating scale using PGART and PGATT. The patients were also given counselling, interventional programs leaflets and thank you form during the study period.
The rise in hemoglobin in the patients receiving a ferrous fumarate preparation was significantly better than that seen in the patients receiving a carbonyl iron preparation.
The adverse reaction was also noted and the ferrous fumarate group showed a significantly better outcome with respect to response to therapy (p<0.0001) as well as tolerability (p=0.002).
Ferrous fumarate is not only significantly superior in efficacy but is better tolerated than carbonyl iron. Ferrous fumarate is safe in pregnancy and gives a good hematological response with minimal adverse effects and can be used for the treatment of iron deficiency during pregnancy.
Keywords
Iron Deficiency, Pregnancy, Ferrous Fumarate, Carbonyl Iron.Full Text
- Chronochromic Smart Tag to Replace Expiry Date in Packed Perishable Food Items
Abstract Views :305 |
PDF Views:77
Authors
Affiliations
1 lives at 2/249 (Old No. 2/172), 7th Street, Kalvinagar, Rajambadi, Madurai 625 021, IN
2 Department of Materials Science, Madurai Kamaraj University, Madurai 625 021, IN
1 lives at 2/249 (Old No. 2/172), 7th Street, Kalvinagar, Rajambadi, Madurai 625 021, IN
2 Department of Materials Science, Madurai Kamaraj University, Madurai 625 021, IN
Source
Current Science, Vol 106, No 12 (2014), Pagination: 1639-1640Abstract
No Abstract.Full Text
- New Life for Old Soiled Banknotes
Abstract Views :288 |
PDF Views:82
Authors
Affiliations
1 2/249 (Old No. 2/172), 7th Street, Kalvinagar, Rajambadi, Madurai 625 021, IN
2 Department of Materials Science, Madurai Kamaraj University, Madurai 625 021, IN
1 2/249 (Old No. 2/172), 7th Street, Kalvinagar, Rajambadi, Madurai 625 021, IN
2 Department of Materials Science, Madurai Kamaraj University, Madurai 625 021, IN
Source
Current Science, Vol 107, No 2 (2014), Pagination: 171-173Abstract
No Abstract.Full Text
- Effects of the Detergent Commando on Cholesterol Content of the Freshwater Fish Labeo rohita
Abstract Views :137 |
PDF Views:0
Authors
Affiliations
1 Post Graduate and Research Department of Zoology, Kongunadu Arts and Science College (Autonomous), Coimbatore-641 029, Tamilnadu, IN
1 Post Graduate and Research Department of Zoology, Kongunadu Arts and Science College (Autonomous), Coimbatore-641 029, Tamilnadu, IN
Source
Nature Environment and Pollution Technology, Vol 6, No 3 (2007), Pagination: 433-436Abstract
Fish Labeo rohita were exposed to sublethal concentration of the detergent Commando (20 mg) for 24, 48, 72 and 96 hrs respectively. Biochemical analysis of cholesterol was carried out in liver, kidney, muscles and gills of the fish. The highest percent decrease of 35.1% in kidney, and minimum of 2% in muscles after 96 and 72 hrs exposures were noticed in cholesterolFull Text
- Backpropagation Training Algorithm with Adaptive Parameters to Solve Digital Problems
Abstract Views :177 |
PDF Views:0
Authors
Affiliations
1 Department of Bachelor of Computer Applications, The American College, Tamil Nadu, IN
1 Department of Bachelor of Computer Applications, The American College, Tamil Nadu, IN
Source
ICTACT Journal on Soft Computing, Vol 1, No 3 (2011), Pagination: 145-151Abstract
An efficient technique namely Backpropagation training with adaptive parameters using Lyapunov Stability Theory for training single hidden layer feed forward network is proposed. A three-layered Feedforward neural network architecture is used to solve the selected problems. Sequential Training Mode is used to train the network. Lyapunov stability theory is employed to ensure the faster and steady state error convergence and to construct and energy surface with a single global minimum point through the adaptive adjustment of the weights and the adaptive parameter β. To avoid local minima entrapment, an adaptive backpropagation algorithm based on Lyapunov stability theory is used. Lyapunov stability theory gives the algorithm, the efficiency of attaining a single global minimum point. The learning parameters used in this algorithm is responsible for the faster error convergence. The adaptive learning parameter used in this algorithm is chosen properly for faster error convergence. The error obtained has been asymptotically converged to zero according to Lyapunov Stability theory. The performance of the adaptive Backpropagation algorithm is measured by solving parity problem, half adder and full adder problems.Keywords
Single Hidden Layer, Lyapunov Stability Theory, Adaptive Learning Parameter.
- Improved Packet Delivery Ratio in Mobile Adhoc Networks Using Btsna-Ds Algorithm
Abstract Views :202 |
PDF Views:4
Authors
Affiliations
1 Department of Computer Science, Periyar University, IN
1 Department of Computer Science, Periyar University, IN
Source
ICTACT Journal on Communication Technology, Vol 9, No 2 (2018), Pagination: 1789-1792Abstract
Mobile Ad-hoc Networks (MANETs) in which moving nodes act as mobile-terminals as well as routing stations. These movements cause the change in the network topology. In this connection, route establishment is the primary task to initiate the communication between resources is very difficult due to their random movements. MANET flooding method is used for broadcasting route request (RREQ) packet from one node to another node for route discovery. This is the simplest method of broadcasting of RREQ packets but it often results in broadcast storm problem, originating collisions and congestion of packets in the network. The conventional routing protocol designed for MANET fail to handle dynamic movement and self-starting behavior of the node effectively. Most broadcast protocols are however only ever evaluated using simulations, which have repeatedly been shown to be unreliable, and potentially misleading. In this paper, a new routing algorithm named Binary Tree Structured based Network Approach using Depth Search (BTSNA-DS) for energy efficient path from sender to receiver is proposed. Finally, the performance Analysis of the proposed BTSNA-DS algorithm provide better performance compare to the existing Energy Efficient Neighbor Coverage Protocol (EENCP) and also improved the Packet Delivery Ratio (PDR) with mobility, transmission range, and number of node is increased.Keywords
Adhoc, Broadcasting, Neighbor Discovery, Flooding Mechanism, MANET.References
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- R. Ragul Ravi and V. Jayanthi, “Energy Efficient Neighbor Coverage Protocol for Reducing Rebroadcast in MANET”, Procedia Computer Science, Vol. 47, pp. 417-423, 2015.
- Huaqiang Xu, Lei Ju and Zhiping Jia, “Enhance Internet Access Ability for Ad Hoc Network with On-Demand Gateway Broadcast Strategy”, International Journal of Wireless Information Networks, Vol. 22, No. 4, pp. 415-427, 2015.
- Yosuke Totani, Kei Kobayashi, Keisuke Utsu and Hiroshi Ishii, “An Efficient Broadcast-based Information Transfer Method based on Location Data over MANET”, Journal of Supercomputing, Vol. 72, No. 4, pp. 1422-1430, 2016.
- Ahyoung Lee and Ilkyeun Ra, “Network Resource Efficient Routing in Mobile Ad Hoc Wireless Networks”, Telecommunication Systems, Vol. 60, No. 2, pp. 215-223, 2015.
- Abderezak Touzene and AbdulsalamAlkathiri, “Performance Analysis of an Extended Grid based Broadcast Algorithm in Mobile Ad-Hoc Networks”, Wireless Networks, Vol. 21, No. 2, pp. 659-672, 2015.
- Imran Ali Khan, Sajjad Ahmad Madani, Waqas Anwar and Khizar Hayat, “Location based Dynamic Probabilistic Broadcasting for MANETs”, World Applied Sciences Journal, Vol. 13, No. 11, pp. 2296-2305, 2011.
- N. Aitha and R. Srinadas, “A Strategy to Reduce the Control Packet Load of AODV using Weighted Rough Set Model for MANET”, The International Arab Journal of Information Technology, Vol. 8, No. 1, pp. 108-117, 2009.
- S.Z. Hussain and N. Ahmad, “Cluster based Controlling of Route Exploring Packets in Ad-Hoc Networks”, Advanced Computing, Networking and Informatics, Vol. 2, pp. 103-112, 2014.
- S.Z. Hussain and N. Ahmad, “Minimizing Broadcast Expenses in Clustered Ad-hoc Networks”, Journal of King Saud University-Computer and Information Sciences, Vol. 30, No. 1, pp. 67-79, 2016.
- I.M. Pu and Y. Shen, “Enhanced Blocking Expanding Ring Search in Mobile Ad Hoc Networks”, Proceedings of 3rd IEEE International Conference on New Technologies, Mobility and Security, pp. 1-5, 2009.
- I.M. Pu and Y. Shen, “Analytical Studies of Energy-Time Efficiency of Blocking Expanding Ring Search”, Mathematics in Computer Science, Vol. 3, No. 4, pp. 443-456, 2010.
- O.K. Tonguz et al., “On the Broadcast Storm Problem in Ad Hoc Wireless Networks”, Proceedings of 3rd IEEE International Conference on Broadband Communications, Networks and Systems, pp. 1-11, 2006.
- H. Zhang, “On Reducing Broadcast Expenses in Ad Hoc Route Discovery”, Proceedings of 25th IEEE International Conference on Distributed Computing Systems Workshops, pp. 946-952, 2005.
- M. Bakhouya, J. Gaber and P. Lorenz. “Energy Evaluation of AID Protocol in Mobile Ad Hoc Networks”, Journal of Network and Computer Applications, Vol. 58, pp. 287-293, 2015.
- K. Prabu et al., “Energy Efficient Routing in MANET through Edge Node Selection using ESPR Algorithm”, International Journal of Mobile Network Design and Innovation, Vol. 5, No. 3, pp. 166-175, 2014.
- Network Simulator NS 2.34, Available at: http://www.isi.edu/nsnam
- Bigdata – Overview, Goals and Challenges
Abstract Views :163 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Science, Dr. N. G. P. Arts and Science College, Coimbatore, IN
1 Department of Computer Science, Dr. N. G. P. Arts and Science College, Coimbatore, IN
Source
Data Mining and Knowledge Engineering, Vol 12, No 1 (2020), Pagination: 11-14Abstract
In this modern world of information, the term Bigdata is a massive volume of both structured and unstructured data. And it is difficult to process using traditional database and software techniques. Bigdata system faces the series of technical challenges. In most scenarios, the volume of data is too large or it moves too fast or it exceeds current processing capacity. To find the useful information from massive amount of data, we need to analyze the data and that requires a lot of efforts at multiple levels. This paper presents the overview of bigdata.