The study analysed the coconut fibers, also known as coir fibers, and yams from Coconut husks for their spinnability and weavability properties. The properties analysed are count strength product (CSP), micronnaire, ...

The main objective of the study was to predict electricity consumption in the frame using a probabilistic neural network. Predicting electricity consumption using the PNN was successful since the performance of the model ...

This project research report is about Design of a Flood Monitoring and Detection System for river Unyama. Flood being a natural disaster, can't be prevented but its impact can be reduced. River Unyama has been massively ...

The research project investigated the effect of reeling silk filaments on a hand operated re-reeling machine. The objectives of the investigation were; 1. To spin silk filaments directly on the re-reeling machine. 2. To ...

The study investigated the effects of different methods of application of selected mordants on dyeing knitted cotton and silk fabric samples with the dye extract from the leaves of hibiscus rose-sinesnsis. The methods of ...

The report details the steps for execution, findings, and recommendations of the project fore- mentioned. The project used GEP to probe the number of yarn imperfections present in a polyester/cotton (65:35) blend. Yarn ...

The main objective of the study was to investigate the UV absorbency of dyestuffs extracted from plain woven cotton and originally dyed with natural colourants from plants Ricinus Coumunis, Areeta Indica and Morind a Lucida ...

The current method to recognize structures in textile mills in Uganda like Southern Range Nyanza limited involves the use of magnifying glasses and sometimes pulling of single yarns from the woven fabric. This method is ...

The study evaluated the dye from indigofera arrecta plant leaves for silk and cotton fabrics colouration. The effects analysed are colour fastness, colour hade and dyeing conditions. The direct aqueous extraction method ...

The main objective of the was to predict yarn composition by probabilistic neural network. Yarns are produced by a series of processes which include blow room, carding, draw frame, comber for combed yarns, speed frame for ...