Abstract.Recently, there is a rapid development of road transportation network. This situation arises due to the number of vehicle on the road that keeps increasing year by year. Thus, this will increase the possibility of dangerous situations to the road users if roads are not being maintained appropriately. Therefore, in order to keep the road in safe condition, the road management activity should be improved. A complete system for road management has been applied in the developed countries for the past decades. However, the usage of application programming interface (API) from GIS software has limitation to make modification in terms of interactivity of the system. Open source software was proposed as a way to assist in reducing the development cost of developing road monitoring system. In this paper, open source software was proposed as a way to assist in reducing the development cost in developing road management system. OpenLayers framework was used as map rendering platform. The system can be used by administrator of road network to update the road information. At the same time, it can be used by the road user as well to view the information regarding road-related incidents.
The shortest path routing is one of the well-known network analysis techniques implemented in road management systems. Pg Routing as an extension of Postgre SQL/Post GIS database is an open source library that implements the Dijkstra shortest path algorithm. However, the functionality to avoid obstacles in that analysis is still limited. Therefore, this study was conducted to enable obstacle avoidance function in the existing pgRouting algorithm using OpenStreetMap road network. By implementing this function, it enhances the Dijkstra algorithm ability in network analysis. In this study a dynamic restriction feature is added at the program level to represent the obstacles on the road. With this modification the algorithm is now able to generate an alternative route by avoiding the existence of obstacles on the roads. By using OpenLayers and PHP a web-based GIS platform was developed to ease the system's usability.
We present a random Raman fiber laser pumped by a continuous-wave 1480nm source where neither a visible saturable absorber nor a fiber Bragg grating were incorporated. The backward pumping feedback loop allows a single direction of 1584nm wave propagation under tighter focusing of a dispersion compensating fiber (DCF). This geometry that implies a stronger Kerr-lensing effect supports two types of nonlinear broadening that were achieved in the stable output power generation. The first that agrees well to wave kinetics theory favors 1.76 to 3.53nm spectral progress. Against this flow, another type of wider broadening begun at 4.88nm before reducing gradually to 4.05nm with the increase in pump power. The former corresponds to a maximum of 6.3 times broadening ratio with respect to the pump linewidth. To date, this is the best achievement in the world at just below 1.7 W pump power level especially without utilizing pump-pulse synchronization or any external mode-locking modulations. In contrast without the tighter confinement geometry, the initiation of 4.25nm bandwidth was realized in the unstable power zone. These ascertain the double roles of dispersion compensating fiber as a stabilizing factor as well as for dispersion management.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.