Proof of ownership on multimedia data exposes users to significant threats due to a myriad of transmission channel attacks over distributed computing infrastructures. In order to address this problem, in this paper, an efficient blind symmetric image watermarking method using singular value decomposition (SVD) and the fast Walsh-Hadamard transform (FWHT) is proposed for ownership protection. Initially, Gaussian mapping is used to scramble the watermark image and secure the system against unauthorized detection. Then, FWHT with coefficient ordering is applied to the cover image. To make the embedding process robust and secure against severe attacks, two unique keys are generated from the singular values of the FWHT blocks of the cover image, which are kept by the owner only. Finally, the generated keys are used to extract the watermark and verify the ownership. The simulation result demonstrates that our proposed scheme is highly robust against numerous attacks. Furthermore, comparative analysis corroborates its superiority among other state-of-the-art methods. The NC of the proposed method is numerically one, and the PSNR resides from 49.78 to 52.64. In contrast, the NC of the state-of-the-art methods varies from 0.7991 to 0.9999, while the PSNR exists in the range between 39.4428 and 54.2599.

The experiment was conducted to clarify the growth and yield response of two rice cultivars, BR55 and BR43 under salt stress. Six different concentrations of NaCl viz 50, 100, 150, 200, 250 and 300 mM and distilled water (control) were applied on the rice cultivars which were grown under pot culture condition. Growth parameters like plant height, tiller number, leaf number and leaf area were negatively affected by salinity in both cultivars. Salt stress caused a significant reduction in yield in both cultivars of rice. Growth reduction was higher in BR43 than in BR55.The reduction in yield and yield parameters were found to be lower in BR55 than those in BR43. The results obtained in the present study suggest that BR55 showed higher salt tolerance than in BR43. Jahangirnagar University J. Biol. Sci. 7(2): 1-12, 2018 (December)

No abstract

Recognition of handwritten Bangla characters has drawn considerable attention recently. The Bangla language is rich with characters of various styles such as numerals, basic characters, and compound and modifier characters. The inherent variation in individual writing styles, along with the complex, cursive nature of characters, makes the recognition task more challenging. To compare the outcomes of handwritten Bangla character recognition, this study considers two different approaches. The first one is classifier-based, where a hybrid model of the feature extraction technique extracts the features and a multiclass support vector machine (SVM) performs the recognition. The second one is based on a convolution neural network (CNN). For recognition, we considered 10 Bangla numerals, 50 basic characters, and a subset of compound characters that are frequently used in the Bangla language. Experimental results demonstrate that the CNN model outperforms the traditional classifier-based approach, obtaining 98.04%, 99.68%, and 98.18% recognition accuracy for Bangla basic characters, numerals, and the subset of compound characters, respectively.

The present study was conducted to determine the interaction effects of zinc availability and salt stress in Bangladeshi soybean cultivar (cv. Shohag) whether zinc can alleviate the hazardous effects of salt stress or not. In this study, the plants are grown in zinc treated soil and also exposed to increasing (0, 50, 100, 150, 200, and 250 mM NaCl) levels of salinity. The results showed that the dry weight of root, stem, leaves, petioles and total dry weight were significantly reduced by salinity. The activities of antioxidant enzymes, lipid peroxidation, proline content were significantly affected by salt stress. Zinc supplementation helped the plants to cope with the salinity stress by improving the total dry weight. The antioxidant enzyme activities including catalase (CAT) and ascorbate peroxidase (APX) and proline content increased in response to salinity. The extent of lipid peroxidation noticed in salt stressed plants. However, zinc application enhanced catalase and ascorbate peroxidase activity as well as proline content in growing plants at different salt concentrations. The interaction between zinc and salinity significantly reduced lipid peroxidation. Application of zinc to salt-stressed plants ameliorates the salinity induced hazardous effects by enhancing the activities of antioxidant enzymes such as CAT and APX and Proline content.

No abstract

No abstract

No abstract