Clothing and Textile Skills: A Strategy for Optimizing Human Capital Development for Sustainable Family Living Amid Socio-Economic Challenges in Yobe State. (Published)
This study researched on Clothing and Textile Skills: A Strategy for Optimizing Human Capital Development for Sustainable Family Living amid Socio-Economic Challenges in Yobe State. Survey design method was adopted. Four research questions guided the study. Population of the study was drawn from all the families in Yobe State. Simple random sampling was used to select a sample of 200 families, comprising of Home Economics/Scientist, lecturers, teachers and students. Structured questionnaire was used to elicit data from the respondents. Data collected were analyzed using mean and standard deviation. The findings of the study revealed that, if Clothing and Textile skills were optimized, it will boost human capital development in entrepreneurship skill acquisition, business venturing, innovation and creativity amongst others. This can sustain and stabilize families financially amid socio-economic challenges facing Nigeria presently. Based on the findings, recommendations were made.
Citation: Obiana, Uche Viola , Fadipe, E. O. and Ojiude, Perpetua U. (2022) Clothing and Textile Skills: A Strategy for Optimizing Human Capital Development for Sustainable Family Living Amid Socio-Economic Challenges in Yobe State, International Journal of Development and Economic Sustainability, Vol.10, No.2, pp.27-38
Keywords: Human Capital Development, Optimizing, Strategies., clothing and textile skills, socio-economic challenges., sustainable family living
Optimizing the Carpool Service Problem with Genetic Algorithm (Published)
Now a day’s traffic congestion is a main issue all over the world so we are proposing a carpool system that will increase the no of occupation seats by decreasing the no of empty seats. This system divided into basically two modules. These modules are the mobile client module and Global Carpool Services module. User first have to submit carpool request using any android based Smartphone and obtain a matches within the mobile client module via the global cloud module. With the help of genetic based carpool algorithm global service module generate acceptable matches.To reduce the time required and to find a best match we proposed a genetic algorithm for large no of users. Related to the quality of matches and processing time. The experimental results shows that the current root matching algorithm successfully showing the results which are optimal and also operate with the less computational time.
Keywords: Carpool Service, Genetic Algorithm, Optimizing