Institution
Kongu Engineering College
About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.
Topics: Computer science, Cluster analysis, Control theory, Response surface methodology, Wireless sensor network
Papers published on a yearly basis
Papers
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08 Feb 2018
TL;DR: In this article, the aim of the study is to maximize the bioethanol production from cassava stem using statistical design of experiments, and organic acid catalysis was employed as an alternative pretreatme...
Abstract: The aim of this study is to maximize the bioethanol production from cassava stem using statistical design of experiments. Therefore, organic acid catalysis was employed as an alternative pretreatme...
19 citations
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TL;DR: In this paper, a groundwater potential zonation map is obtained after integration through weighted index overlay analysis (WIOA) in GIS domain and is divided into four categories, viz., good, moderate, poor, and very poor zones.
Abstract: Exploring the status of groundwater in terms of its potentiality is of serious concern, owing to its vital use for domestic, agricultural, and industrial requirements all over the world. The aim of this paper is to assess the groundwater potentiality in Rasipuram taluk, Tamil Nadu, India by combining the geospatial techniques like geographical information system (GIS) and remote sensing (RS). The groundwater potential zones are delineated by integrating the factors such as geology, drainage density, geomorphology, lineament density, land use/land cover, and slope. The layer weight for six factors governing groundwater recharge potential and class weight for each factor are assigned based on their characteristics and relative importance with groundwater. A groundwater potential zonation map is obtained after integration through weighted index overlay analysis (WIOA) in GIS domain and is divided into four categories, viz., good, moderate, poor, and very poor zones. The study depicts 26%, 17%, and 27% of the total study area comes under moderate, poor, and very poor groundwater potential zones, respectively, while good groundwater potential zone cover 30% of the total study area. The results indicate that the most convincing groundwater potential zones are located in the western region of the study area which has relatively plain topography.
19 citations
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TL;DR: The effectiveness and performance of the proposed mechanism are demonstrated with a clinical gait pattern using a proportional-integral-derivative (PID) control scheme on an in-house fabricated real-time prototype.
19 citations
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TL;DR: In this paper, a four-factor three-level Box-Behnken statistical experimental design (BBD) was used to investigate the copper ion reduction under different adsorption conditions, such as initial concentration, cotton seed cake dose, pH and temperature.
Abstract: In this study, copper (II) ion reduction was investigated using a four-factor three-level Box–Behnken statistical experimental design (BBD) under different adsorption conditions, such as initial concentration, cotton seed cake dose, pH and temperature. Optimum conditions for maximizing the copper (II) reduction were determined using Derringer's desired function methodology and were found to be an initial concentration of 300 mg/l, cotton seed cake dose of 1 g/l, pH of 7, and a temperature of 50 °C. Under optimum conditions, copper (II) reduction was found to be 88% with a desirability value of 0.982. The suitability of the predicted optimum conditions was validated using experimental data. The Langmuir isotherm model clearly explains the copper (II) adsorption on the cotton seed cake. The best fit of the kinetic model was found to be a pseudo first order rate equation. Finally, the characteristics of the cotton seed cake were analyzed using FTIR, XPS and SEM with EDS.
19 citations
Authors
Showing all 2001 results
Name | H-index | Papers | Citations |
---|---|---|---|
Thalappil Pradeep | 76 | 581 | 24664 |
Kumarasamy Thangaraj | 47 | 361 | 11869 |
Pagavathigounder Balasubramaniam | 46 | 268 | 6935 |
J. Prakash Maran | 34 | 56 | 3636 |
S. Saravanan | 30 | 209 | 3308 |
Rathanasamy Rajasekar | 23 | 86 | 2142 |
V. Sivakumar | 23 | 93 | 2265 |
K. Thirugnanasambandham | 21 | 31 | 1759 |
Subramaniam Shankar | 20 | 104 | 1510 |
P. Sivakumar | 19 | 132 | 1464 |
N. Sivarajasekar | 18 | 60 | 1025 |
S. Selvakumar | 18 | 68 | 1155 |
Zaharias D. Zaharis | 17 | 128 | 1179 |
P. Balasubramanie | 16 | 27 | 469 |
P. N. Palanisamy | 16 | 47 | 754 |