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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.


Papers
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Journal ArticleDOI
TL;DR: In this review, the very positive role of mitochondrial genome's association with infertility is discussed and the importance of mitochondria in sperm motility is discussed.
Abstract: Infertility can be defined as difficulty in conceiving a child after 1 year of unprotected intercourse Infertility can arise either because of the male factor or female factor or both According to the current estimates, 15% of couples attempting their first pregnancy could not succeed Infertility is either primary or secondary Mitochondria have profound effect on all biochemical pathways, including the one that drivessperm motility Sperm motility is heavily dependent on the ATP generated by oxidative phosphorylation in the mitochondrial sheath In this review, the very positive role of mitochondrial genome's association with infertility is discussed

36 citations

Journal ArticleDOI
TL;DR: The developed forecast model successfully predicts future fault occurrences rate followed by dissimilarity rate from clustering results holds the validity of 91.9% when applied to the historical pressure datasets.
Abstract: The world of oil pipelines is subjected to serious issues due to occurrences of toxic spills, explosions and deformations like particle deposition, corrosions and cracks due to the contact of oil particles with the pipeline surface Hence, the structural integrity of these pipelines is of great interest due to the probable environmental, infrastructural and financial losses in case of structural failure Based on the existing technology, it is difficult to analyze the risks at the initial stage, since traditional methods are only appropriate for static accident analyses Nevertheless, most of these models have used corrosion features alone to assess the condition of pipelines To sort out the above problem in the oil pipelines, fault identification and prediction methods based on K-means clustering and Time-series forecasting incorporated with linear regression algorithm using multiple pressure data are proposed in this paper The real-time validation of the proposed technique is validated using a scaled-down experimental hardware lab setup resembling characteristics exhibited by onshore unburied pipeline in India In the proposed work, crack and blockages are identified by taking pressure rise and pressure drop inferred from two cluster assignment The obtained numerical results from K-means clustering unveils that maximum datasets accumulated range of multiple pressures are within 16147–10638 kg/cm2, 14922–121674 kg/cm2, 27645–12063 kg/cm2 correspondingly Hence by this final cluster center data, inspection engineers able to estimate the normal and abnormal performance of oil transportation in a simple-robust manner The developed forecast model successfully predicts future fault occurrences rate followed by dissimilarity rate from clustering results holds the validity of 919% when applied to the historical pressure datasets The models are expected to help pipeline operators without complex computation processing to assess and predict the condition of existing oil pipelines and hence prioritize the planning of their inspection and rehabilitation

35 citations

Journal ArticleDOI
TL;DR: In this article, a self-designed simplified 3 pin type flexible coupling was used in the experiments to predict the vibration spectrum for shaft misalignment, and the experimental and numerical (ANSYS) frequency spectra were obtained.
Abstract: Experimental studies were performed on a rotor dynamic test apparatus to predict the vibration spectrum for shaft misalignment. A self-designed simplified 3 pin type flexible coupling was used in the experiments. The rotor shaft accelerations were measured using dual channel vibration analyzer (ADASH) under the misalignment condition. The experimental and numerical (ANSYS) frequency spectra were obtained. The experimental predictions are in agreement with the ANSYS results. Both the measured and ANSYS results spectra shows that misalignment can be characterized primarily by 2X (two times) shaft running speed. However, misalignment 2X is not close enough to one of the system natural frequencies to excite the system appreciably. Therefore, there are cases where the misalignment response is hidden and does not show up in the vibration spectrum. On the other hand, if 2x shaft running speed is at or close to one of the system natural frequencies, the misalignment effect can be amplified and the speed is pronounced in the frequency spectrum.

35 citations

Journal ArticleDOI
TL;DR: In this article, a nanocrystalline TiO2 was successfully synthesized using simple aqueous peroxo route and subsequently the surface characterization of TiO 2 was carried out using X-ray diffraction and Scanning electron microscopy.
Abstract: A nanocrystalline TiO2 was successfully synthesized using simple aqueous peroxo route and subsequently the surface characterization of TiO2 was carried out using X-ray diffraction and Scanning electron microscopy. The synthesized nanocrystalline TiO2 successfully decomposed the aqueous remazol brown dye solution under UV light irradiation with and without ozone. The effects of pH, TiO2 dose and irradiation time for decomposition of dye solution were also evaluated. The maximum dye decomposition efficiency of 96.6 % was achieved with the minimal time of 45 min by UV/TiO2/O3 treatment. The present study clearly indicates that the peroxo route TiO2 nanoparticle is a promising material for industrial waste water treatment.

35 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202221
2021572
2020234
2019121
2018143
2017136