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Institution

P A College of Engineering

About: P A College of Engineering is a based out in . It is known for research contribution in the topics: Dihedral angle & Ring (chemistry). The organization has 298 authors who have published 594 publications receiving 4888 citations.


Papers
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Journal ArticleDOI
TL;DR: This article presents a new technique that embeds data in intermediate significant bit and least significant bit planes of the cover image by employing chaotic maps to generate random locations to hide the data bits as well as permutation order to encrypt the cover images.
Abstract: The recent trends in technology have made it possible to reproduce and share digital media more easily and more rapidly. This leads to the problem of exploiting the media illegitimately. To alleviate this problem, many cryptographic techniques are used to secure the data by encrypting them. However, the cloaked form of encrypted data attracts the intruder and shows the way to malicious attacks. Due to this, in recent times steganography has drawn more attention to secure the data. This article presents a new technique that embeds data in intermediate significant bit ISB and least significant bit LSB planes of the cover image. The method employs chaotic maps to generate random locations to hide the data bits as well as permutation order to encrypt the cover image. The cover image is first encrypted by applying permutation order, then embedding is carried out on the random locations generated. After embedding, the decrypted cover image is transmitted. This method provides two-level security in extracting the hidden data. Experimental outcomes PSNR, MSE, NAE, and NCC confirm that the method is proficient. The randomness of the values generated by chaotic maps is assessed by the NIST standard test suite.

13 citations

Journal ArticleDOI
TL;DR: In this paper, a detailed exergy analysis of a conventional and copper finned acrylic solar still has been presented, where the evapative, convective, and radiative heat transfer coefficient of water-glass has been calculated.
Abstract: A detailed exergy analysis of a conventional and copper finned acrylic solar still has been presented in this manuscript. The evaporative, convective, and radiative heat transfer coefficient of water-glass has been calculated. Also energy efficiency, exergy destruction of basin, water, and glass has been determined. Conventional acrylic solar still with fins produced maximum hourly output of 1.24 kg and it produced daily output of 5.08 kg. The conventional acrylic solar still without fins produced maximum hourly output of 0.94 kg and it produced daily output of 3.75 kg. The maximum exergy destruction of the basin, water, and glass for the conventional acrylic solar still with fins are 655.206, 83.35, and 90.48 W/m2, respectively, and conventional acrylic solar still without fins are 616.28, 122.34, and 48.64 W/m2, respectively. The energy and exergy effectiveness of the conventional acrylic solar still with fins are 32 and 2.81%, respectively, and without fins are 24.93 and 1.69%, respectively. The study reveals that exergy destruction of water in the case of still with fins is minimum as related to the exergy destruction of water in the case of still without fins.

13 citations

Journal ArticleDOI
TL;DR: The result shows that the proposed algorithm is efficient than traditional K-Means for all size of document datasets clustering and works more efficiently when the dataset size and Hadoop cluster sizes are large.
Abstract: Clustering is considered as one of the important data mining techniques. Document clustering is among many applications of clustering. The traditional clustering algorithms are proven inefficient for clustering rapidly generating large real world datasets. As a solution, traditional clustering algorithms are modified using distributed programming paradigm. MapReduce is a popular distributed programming paradigm designed for Hadoop distributed framework. This paper demonstrates a MapReduce based modification of K-Means clustering algorithm for document datasets. The result shows that the proposed algorithm is efficient than traditional K-Means for all size of document datasets clustering. The experiments also show that the MapReduce clustering works more efficiently when the dataset size and Hadoop cluster sizes are large.

13 citations

Journal ArticleDOI
TL;DR: In the title compound, C18H13Cl2NO, the naphthalene ring system and the benzene ring form dihedral angles of 74.73”(13) and 62.53 (16)°, respectively, with the acetamide grouping.
Abstract: In the title compound, C18H13Cl2NO, the naphthalene ring system and the benzene ring form dihedral angles of 74.73 (13) and 62.53 (16)°, respectively, with the acetamide grouping [maximum deviation = 0.005 (3) A]. The naphthalene ring system forms a dihedral angle of 75.14 (13)° with the benzene ring. In the crystal, mol­ecules are linked by N—H⋯O hydrogen bonds, forming C(4) chains propagating in [010]. The O atom also accepts two C—H⋯O inter­actions.

13 citations

Journal ArticleDOI
TL;DR: In this paper, a thermal model of Li-ion battery using finite volume method with the adoption of realistic coupled heat and fluid flow process is carried out, which reveals that the length to width ratio of battery does not impact the thermal performance of battery.

13 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021120
202054
201935
201823
201723