Child labour: the case study in Bangladesh

Child labour involves of person that age below than 17 years old. Child labour often happen in poor countries such as Bangladesh. In Bangladesh, the issue of child labour might be the biggest issue. Bangladesh come up with Bangladesh Labour Act (BLA) that did not allow any person age below from fourteen years old to work (Nawshin et al, 2019). One of the aim or purpose of this act is to prevent teen workers in order to get the proper payment of any work. This is because when organization use child labour, they might be paid at lower rate because children usually do not have much responsible in their family compared to teen workers. This indirectly cause an economic matter in a family

New Technique for Image Fusion Using DDWT and PSO In Medical field

Image fusion is a process where multiple images (more than one) from different or same images of object are combined to form a single resultant fused image. This fused image is more informative, descriptive and qualitative as compared to its original input images or than individual images. The fusion technique in medical images is useful for resourceful disease diagnosis purpose and for doctors having varying experiences. This paper illustrates multimodality medical image fusion techniques and their results evaluated and analyzed with six quantitative metrics specified in last section of the paper. In this paper, a multimodality image fusion algorithm based on Dual tree discrete wavelet transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are divided into low-frequency coefficients and high-frequency coefficients by the dual-tree discrete wavelet transform (DDWT) as separate parallel branch of band. PSO is used to determine to obtain proper fusion weight parameter from high-frequency coefficients from segmented images by DDWT. Also PSO is used to determine ? parameter called scalar weight. Finally, the fused image is reconstructed by the inverse DDWT. Thus quality of fused image is measured with PSNR, SNR, OCE, MI, Entropy DOI: 10.17762/ijritcc2321-8169.160410