â  abstract: in this paper, artificial neural network (ann) was used for modeling the nonlinear structure of a debutanizer column in a refinery gas process plant. the actual input-output data of the system were measured in order to be used for system identification based on root mean square error (rmse) minimization approach. it was shown that the designed recurrent neural network is able to pr...

Studies were carried out on the localization and mapping of gas stations in the urban area of São Carlos city, for an environmental diagnosis related to soil, surface water and underground water contamination resulting from likely leaking in fuel underground storage tanks. Considering that a provision of legal restriction makes it possible that most of public areas are not located in gas statio...

Due to the inherent discrete nature of sensing, interpolation is a key activity in sensing. Interpolation in urban computing faces an unprecedented inference issue that was not present in large scale traditional sensing environments. Obstacles such as buildings and walls are prevalent in urban sensing, and it is important to consider them in urban sensing interpolation. This paper introduces an...

nowadays, the environmental impact of transportation project and, especially air pollution impacts, are major concerns in evaluating transportation projects. based on this concern, beside definition of traditional objective functions like total travel time and total investment cost, different type of environmental related function is considered as objective function in urban network design. in ...

One of the most challenging problems on modern urban planning and one of the goals to be solved for smart city design is that of urban waste disposal. Given urban population growth, and that the amount of waste generated by each of us citizens is also growing, the total amount of waste to be collected and treated is growing dramatically (EPA 2011), becoming one sensitive issue for local governm...

background : we need a defined population for determining prevalence and incidence of diseases, as well as conducting interventional, cohort and longitudinal studies, calculating correct and timely public health indicators, assessing actual health needs of community, performing educational programs and interventions to promote healthy lifestyle, and enhancing quality of primary health services....

Analyzing the structure and functioning of the urban system revealed ways to optimize its structure by adjusting the relationships among compartments, thereby demonstrating how ecological network analysis can be used in urban system research. Based on the account of the extended exergy utilization in the sector of urban socio-economic system, which is considered as the composition of extraction...

Air pollution has been one of the most critical urban problems. Urban energy networks are among major sources air pollution, particularly in highly populated areas. Residential heating, which is primary cause particulate matter (PM) emissions, contributes to problem through use low-quality fuels, such as coal. Natural gas, although a fossil fuel, modern, relatively clean, and more efficient alt...

Several adverse health effects, such as respiratory and cardiovascular morbidity, have been linked to exposure to particulate matter in ambient air; however, the biologic activity of gas-phase ambient organic air contaminants has not been examined as thoroughly. Using aryl hydrocarbon receptor (AHR)-based and estrogen receptor (ER)-based cell bioassay systems, we assessed the dioxin-like and es...

Existing generative mobility models, used to produce mobility data for simulated agents in, e.g., wireless network simulations, suffer from a number of limitations. Most significantly, existing models are not representative of actual human movement. We introduce a new mobility model based on state-of-the-art work in understanding pedestrian mobility patterns in urban areas, known as Space Synta...