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"Three dimesnions urban energy balance model has been successfully combined with the vegetation model to observe the effect of the presence of vegetation in urban areas. The calculation found that the increase in vegetation ratio of urban area by 20% will lower sensible heat of 20-60 Watt/m2 although the increase in humidity also occurs as a result of the transpiration process. The increase of vegetation ratio also reduces storage heat. This lead to reduce the heat emission from the urban skin especially in the afternoon as well as reduce the effects of heat trapped in urban areas. The second turn, this phenomenon will reduce urban heat island (UHI)."

"ABSTRAKDue to the situation of increasingly severe PM-10 pollution that adverse affects on humans and environment across the globe, the purpose of this work is to implement the optimal PM-10 forecast model as a basis tool in process of planing/controlling air pollution and public awareness apply to Chiang Mai city and surrounding area, in Northern Thailand. Accurate and reliable forecasting model are our goal. Due to the fuzzy feature of PM-10 as well as the high correlated hotspot during open burning and forest fires season of this study area, the adaptive neuro-fuzzy inference system (ANFIS)-based forecasting model has been statistically implemented as tool for daily mean PM-10 concentration estimation. For achieving more efficient and realistic model, the hotspot count among other meteorological parameters is utilized as the exogenous variable through the design and optimization. The forecasting performance evaluated in terms of the tradeoff between accuracy with regard to RMSE and MAE, computational complexity with respect to the multiplications per an execution, and reliablity through Akaike criterion information (AIC) is used to assess the forecast models. As forecasting results, the proposed ANFIS model with an integrated hotspots outperforms the other existing models."

"ABSTRAKto evaluate how well the use of smartphones meets the requirements of patrons in an academic library setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphones for interacting with online library systems, the need for smartphone support, and the fit of the device to tasks, as well as performance. The study used interviews and survey data to identify what are the core strengths and limitations of a smartphone construct that stimulate patrons to perform their tasks in an online library setting. Using exploratory factor analysis, preliminary findings confirmed Technology-Content, Technology-Ergonomics, Technology-Smartphone Support, Technology-Platform, and Technology-Interaction design as the core dimensions of the smartphone construct. The results of the structural model supported the overall TTF model in reflecting significant positive impact of task and technology in TTF for smartphones in a digital-library setting; it also confirmed a significant positive impact of TTF on individuals performance"

"Science and technology; papers, volume commemorating the 15th anniversary of the Agency for Development and Application of Technology"