Asset management software is a specialised programme that is used to track and record an asset's life cycle, from procurement to disposal. It offers an organisation with information such as where specific assets are situated, who is utilising them, how they are used, and asset data. In this project, hardware assets are managed using asset management software. An asset management tool is often known as asset management software. Asset management software is designed to help users manage and maintain assets in their organizations.The assets are the electronic devices utilised by the organisation's personnel, such as computers, laptops, keyboards, and so on. This allows for quick access to and management of asset status. It can be utilised on the web as well as on mobile devices.

Keywords: e-commerce, information technology, customer satisfaction, business.

In many of digital image processing applications, observed image is often corrupted by noise which may arise during image acquisition or image transmission. Noise reduces image quality and leads to unwanted results of subsequent stages of the image processing (e.g., segmentation, pattern recognition, and enhancement). Hence, removal of noise from images is one of the most significant tasks in image processing. In this work a fuzzy impulse noise removing algorithm is proposed. The proposed algorithms are evaluated through comparing their performances with respect to various noise removing methods. The objective measurements in terms of peak signal to noise ratio and mean square error show that the proposed algorithms obtain good results in noise removal and image detail preservation for wide range of noise density.

Keywords: Fuzzy logic, Impulse noise, Noise detection, Noise filtering.