Database Design Base on GIS Gas management Network

AbstractTo improve the efficiency and operation efficiency of gas pipeline network information management, the characteristics of the data of gas pipeline network is analyzed, the gas pipeline network data is study, and its storage model and organization ways was applied in gas pipeline network to gain information, the model of gas pipeline network is set up and. Base on analysis the gas network GIS system top entity relation, a gas pipeline GIS information system function structure is established. After The system is apply to the xi’an gas company, the management level of the company has improved. In the same time, the system has good expansion character to lay a foundation for the system exploitation

A simple model for the anomalous intrinsic viscosity of dendrimers

The intrinsic viscosity of dendrimers in solution shows several anomalous behaviors that have hitherto not been explained within the existing theoretical frameworks of either Zimm or Rouse. Here we propose a simple two-zone model based on the radial segmental density profile of the dendrimers and combine a non-draining core with a free-draining outer region description, to arrive at a simple formula that captures most of the main features in the intrinsic viscosity data obtained in experiments

A Review on Supercritical Fluidization

Supercritical water fluidized bed (SCWFB) has been used to gasify biomass, coal and solid waste to produce gas fuel. Supercritical carbon dioxide fluidized bed (SCCO2FB) was applied in the coating industry. Both the two fluidized bed treats the supercritical fluids as fluidization medium. The fluidization behaviours of particles in the supercritical fluids are quite important issues for achieving the basic two phase flow pattern. Few research institutions have conducted experimental and numerical investigations on the fluidization in supercritical conditions. The authors try to establish a comprehensive insight of fluid dynamics of the supercritical fluidized bed. For the SCWFB, the fluidization transitions of fixed bed, homogeneous bed expansion and bubbling were demarcated by discrimination number Dn. A flow pattern map of Reynolds number vs. Archimedes number was available for describing the flow patterns and their boundaries of the SCCO2FB. Ergun equation was acceptable for calculating the fixed bed pressure drop for both SCWFB and SCCO2FB. Wei and Lu correlations of the minimum fluidization velocity, minimum bubbling velocity and homogeneous bed expansion rate are suggested to design the SCWFB. Wen and Yu equation of the minimum fluidization velocity, Vogt et al. correlation of the homogeneous bed expansion rate and their method for determining the minimum bubbling velocity, Nakajima et al. equation of transition velocity, and Bi and Fan correlation of turbulent velocity were recommended to calculate SSCO2FB

"Know the Competitor, Know Thyself?" First Evidence from Banks in Emerging Europe

How best to measure banking competition? The empirical banking literature typically resorts to well-known concentration measures such as the Herfindahl–Hirschman index, or performance indicators like the Lerner or Boone indexes. While these have their merits, none of them explicitly takes into account that banks may actively compete with some banks but not with others. This chapter presents micro evidence on the determinants of such dyadic banking competition, and argues that this concept can advance our understanding of how banking competition affects firms’ access to credit

TRA-936: MODIFYING SIGNAL CONTROL AT INTERSECTIONS UNDER ADVERSE WEATHER CONDITONS

Adverse winter weather has always been a cause of traffic congestion and road collisions. To mitigate the negative impacts of winter weather, transportation agencies are under increasing pressure to introduce weather responsive traffic management strategies such as adaptive control of signalized intersections and variable speed limits. Currently, most traffic signal control systems are designed for normal weather conditions and are therefore suboptimal in terms of efficiency and safety for controlling traffic during winter snow events due to the changing traffic patterns and driver behavior. The main objective of this research is to explore how to modify traffic signal control under adverse weather conditions. This research consists of two main components. First, we have examined the impacts of winter weather on two key traffic parameters, i.e., saturation flow rate and start-up lost time. Both parameters were measured from 16 hours of traffic video footage at one intersection. Secondly, we have investigated the potential benefits of implementing weather-specific signal control plans for isolated intersections as well as arterial corridors based on two case studies. Three traffic demand scenarios, i.e., high, medium, and low, were considered. We developed weather-specific signal plan alternatives for each scenario based on the traffic parameters measured in winter weather. Evaluation results show that implementing such signal plans is most beneficial for intersection with a medium level of traffic demand. It is also been found that the benefit of implementing weather-responsive plans was more compelling an arterial-corridor level with signal coordination than at an isolated-intersection level