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Bangladesh is a developing country with huge population and huge scarcity of resources. Its economy is largely dependent on ready-mate-garment industry. So garments industries as well as garments workers are very much important for our economy. Dhaka being the capital city, a large number of garment factories is situated here. But the majority of garment workers earn less than the living wage, which is the minimum requirement to provide a family with food, shelter and education. They can hardly find a suitable residence for them and are compelled to live in congested, unhygienic and sub-human condition. The development of a country is not possible by only developing the middle and upper class people depriving the lower class who occupy a major part of the economy. So, it's the need of the day to solve the problems of the housing condition of the garments workers. Therefore, this study emphasizes on the factors influencing residential location choice of the garment workers of Dhaka city. The target group is the residents of Mirpur 1. House rent, availability of utility facilities, monthly household income, distance from workplace, social security, dependence on family decision, size of dwelling unit, communal living, availability of community facilitiesthese have been pointed out as important factors in residential location choice of the garment workers by questionnaire survey. The study also investigated the priority among the pointed factors so that it could help the policy makers and developers to take any types of housing development project for the workers. If we can ensure a better residence and better facilities for them, their potentiality will increase and in the long run we can reap greater benefit from them.The paper contributes the first logical analysis of the factors influencing the residential location choice of garment workers of Dhaka City and the relative priority of those factors. The paper's primary contribution is finding that the workers cannot afford standard housing on their own with their minimum wage.

A new multibranch Integrated Catchment (INCA) model INCA-Metals has been developed to simulate the impact of tannery discharges on river systems. The model accounts for the key chemical reaction kinetic processes operating as well as sedimentation, resuspension, dilution, mixing and redistribution of pollutants in rivers downstream of tannery discharge points and for mine discharges or acid rock drainage sites. The model is dynamic and simulates the daily behaviour of hydrology and eight metals, including cadmium, mercury, copper, zinc, lead, arsenic, manganese and chromium, as well as cyanide and ammonia. The model is semi-distributed and can simulate catchments, tributaries and instream river behaviour. The model can also account for diffuse pollution from rural runoff as well as point sources from effluent and trade discharges. The model has been applied to the new Savar tannery complex on the Dhaleshwari River system in Bangladesh to assess the impacts on pollution levels in the river system and to evaluate a set of treatment scenarios for pollution control, particularly in the dry season. It is shown that the new effluent treatment plant at Savar needs to significantly improve its operation and treatment capability in order to alleviate metal pollution in the downstream Dhaleshwari River System and also protect the Meghna River System that falls in the Bay of Bengal.

We have to classify and analyze digital images for different study and purposes. Digital images are obtained from sources like camera, satellites, aircraft etc. Data obtained from satellites or aircraft i.e, the space based and remote sensing data needs to be corrected as they are usually geometrically distorted due to their acquisition system and the movements of the platform of aircraft. Processing and pre-processing are necessary for such correction prior to image classification. Image Processing is a technique which is used to enhance raw images received from cameras, satellites, space probes, aircrafts etc. and Digital image processing is the technique of processing images in the form of discrete digital brightness using digital circuits or digital computers. Image analysis and classification starts when processing and pre-processing ends.