Data Mining - Concepts and Techniques.

International Journal of Computer and Applications

Theory of fuzzy integrals and its applications

Local mussels, Perna viridis, were transplanted from a relatively clean site to various polluted sites in Hong Kong. After a 30-day field exposure, different antioxidant parameters including glutathione S transferase (GST), superoxide dismutase (SOD), catalase (CAT), glutathione peroxidase (GPx), glutathione reductase (GR), NADPH DT-diaphorase (DT-d), glutathione (GSH) and lipid peroxidation were quantified, and tissue concentrations of benzo[a]pyrene (B[a]P) as well as a total of five polycyclic aromatic hydrocarbons (PAHs) with potential carcinogenicity were determined for individual mussels. Results indicated that: (1) tissue concentrations of B[a]P and total PAHs from the same site were highly variable; (2) gill SOD, DT-d and lipid peroxidation showed no response to tissue pollutants: (3) the majority of the antioxidant parameters were induced by increasing tissue pollutant concentrations; and (4) amongst the various parameters, oxyradical scavenger GSH [ best correlated with tissue concentrations of pollutants.

Relationships between tissue concentrations of polycyclic aromatic hydrocarbons and antioxidative responses of marine mussels, Perna viridis

Biometric Recognition - Security and Privacy Concerns.

Ion-implantation and photovoltaics efficiency: A Review

https://iopscience.iop.org/article/10.1088/0954-3899/43/2/025103/pdf

Influence of the constant and density-dependent scaling of the scattering cross-section on reaction dynamics

Fragmentation in isotopic and isobaric systems as probe of density dependence of nuclear symmetry energy

Forgery detection techniques are required to verify the authenticity of the digital images. The additional noise is the most general way to hide the traces of the tampering done to the image. Original images which do not undergo any alterations are supposed to have a consistency in noise variation. If the image is forged, the noise no longer remains consistent throughout the image. In this paper, a method is proposed to detect the forgery based upon noise estimation and hog feature extraction. The image is first converted to YIQ colorspace, and then the block segmentation is performed on Y component of the YIQ image. Noise is estimated using PCA and hog features are extracted from each block of the image. An unsupervised clustering method is used to cluster the blocks of the image. The experimental results show that the proposed technique detects forged images more effectively as compared to previous method based only on noise estimation.

http://www.sersc.org/journals/IJMUE/vol11_no4_2016/5.pdf

Forgery Detection Using Noise Estimation and HOG Feature Extraction

An experiment was conducted to study the effect of foliar application of nitrogen, phosphorus and sulphur on growth and yield of Brassica napus L. during Rabi season 2017 at Experimental Farm, Mata Gujri College, Shri Fatehgarh Sahib, Punjab. The maximum growth and yield attributing parameters were maximum with the application of T7 - 2 per cent DAP foliar application + 2 per cent urea foliar application followed by T6 - 0.5 per cent DAP foliar application + 0.5 per cent sulphur foliar application and T5 - 0.5 per cent urea + 0.5 per cent sulphur spray at 60, 90 DAS and at harvest stage.

/pdf/effect-of-foliar-application-of-nitrogen-phosphorus-and-4wr8hoxnmx.pdf

Mandeep Kaur

Papers

Ion-implantation and photovoltaics efficiency: A Review

Influence of the constant and density-dependent scaling of the scattering cross-section on reaction dynamics

Fragmentation in isotopic and isobaric systems as probe of density dependence of nuclear symmetry energy

Forgery Detection Using Noise Estimation and HOG Feature Extraction

Effect of foliar application of nitrogen, phosphorus and sulphur on growth and yield of Gobhi Sarson (Brassica napus L.) in central Punjab