Technology Reports of Kansai University (ISSN: 04532198) is a monthly peer-reviewed and open-access international Journal. It was first built in 1959 and officially in 1975 till now by kansai university, japan. The journal covers all sort of engineering topic, mathematics and physics. Technology Reports of Kansai University (TRKU) was closed access journal until 2017. After that TRKU became open access journal. TRKU is a scopus indexed journal and directly run by faculty of engineering, kansai university.
Technology Reports of Kansai University (ISSN: 04532198) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are
in the following fields but not limited to:
through the holistic visionary plan 2030, Sulaimaneyah is aiming for a future knowledge and economic creative based development. It is taking one main pillar in the country vision strategy to build a well-established human force that will sustain the city and country growth. Sulaimaneyah City is assigned to be a cultural and creative hub that attracts creative workers from around the globe and establish its local creative human capital. In that regard, one can raise two essential questions: the first is this vision enough to start the creative culture economy and reduce its dependency on the oil-based economy to accelerate the creative city growth? The second; or do we need to adjust our city planning to flourish and support Sulaimaneyah creative cultural aspect? The study responds to these questions through running a qualitative and quantitative study of the creative cultural state of Sulaimaneyah creative city planning direction.
In highly populated areas like urban areas municipal solid waste (MSW) increases from time to time and it becomes serious issue recently. So it very important to make prediction of the wastes for designing and preparing enough land fill or any other mechanism used to store wastes, to hire enough man power and management system and preparing materials necessary etc. which are used to control the municipal solid waste. In this study Moving Average and linear regression method was used to forecast the municipal solid waste of mekelle city. Thus, the obtained equation used to forecast was, Y=0.757808*X+4.29 equation found used to forecast the proposed wastes. The Mean Average Percentage Error (MAPE), Root Mean Square Error (RMSE) was used as performance indicators for comparison between predicted and actual data Thus the result of the indicators showed acceptable error (very small error) and this indicated their good agreement between predicted and actual data.