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:
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.
The volcanic area is blessed with a lot of resources and cursed with eruptive disaster at the same time. Fertile land, deep forest, mining deposit, and water reserve are examples of the potential within a volcanic environment. The more productive activity is taking place, the more it risks damaged by a disaster. In 2010, Merapi, an energetic volcano in Java – Indonesia, erupted on a massive scale equal to one event in one hundred and seventy years. It was estimated up to 140 million m3 lahars produced, overwhelming installed sabo dams with only 20 million m3 in capacity. It damaged these sabo dams severely. Meanwhile, damaged sabo dams urgently needs to be either rehabilitated or reconstructed to set preparation against the next incoming eruption. This paper would focus on the estimation of functional performance given by the sabo dam at present actual condition. The aim is to create modelling framework base on structural equation modelling (SEM) and Generalized Reduced Gradient (GRG) Method. It adopts water resources principles, recent developed model, regulations and factors that influencing this purpose. All governing factors are grouped into three major classifications, i.e. physical aspect, regulative aspect and social aspect. These three aspect are consisted of eight dimension: sabo dam components performance, riparian vegetation condition, river course condition, sand mining performance, regulation conformity, socio-culture-economic, societal-private cooperation, and disaster loss then followed by thity nine indicators. The SEM result using SmartPLS from 89 sabo dam samples shows twenty six confirmed to be valid form thirty nine indicators, which the eight dimensions and three aspect remain intact. By the satisfactory statistical value of AVE (average variance extracted) > 0,5; CR (composite reliability) > 0,8; Cronbach Alpha > 0,8 and p ≤ α 0,1these twenty six indicators are: spillway, main dam, wing, drip hole, sub dam, apron, side wall, filling, parapet, parapet frame, and dyke under sabo dam components performance; vegetation species under riparian vegetation condition; roughness, depth, and slope under river course condition; legal mining, illegal mining and actual mining under sand mining performance; technical recommendation and sand mining license, under regulation conformity; local occupation, education and inhabitant economic, under socio-culture-economic; private corporate social responsibility (CSR) under societal-private cooperation; and public facilities damage, and husbandry loss under disaster loss.