The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Janelle Harms - One of the best experts on this subject based on the ideXlab platform.
-
routing and aggregation strategies for Contour Map applications in sensor networks
Wired Wireless Internet Communications, 2009Co-Authors: Shoudong Zou, Ioanis Nikolaidis, Janelle HarmsAbstract:We consider the limitations inherent in data aggregation techniques for wireless sensor networks. In particular, we illustrate the limitations of schemes in which data from a sensor are routed to the node that can perform the most effective data aggregation. We then seek alternative forms of aggregation where, in principle, it is possible to aggregate readings from many sensors into a single one. To this end, we select Contour Maps as the most convenient example of data representation because they are used by various applications and, at the same time, allow for aggressive data aggregation. We describe particular aggregation and routing strategies that exploit the structure of Contour Maps. Namely, we use clustering based on the Contour Map values, as well as intra---cluster and inter---cluster routing and aggregation heuristics. Simulation results demonstrate the capabilities and limitations of the various varieties of aggregation/routing strategies.
-
WWIC - Routing and Aggregation Strategies for Contour Map Applications in Sensor Networks
Lecture Notes in Computer Science, 2009Co-Authors: Shoudong Zou, Ioanis Nikolaidis, Janelle HarmsAbstract:We consider the limitations inherent in data aggregation techniques for wireless sensor networks. In particular, we illustrate the limitations of schemes in which data from a sensor are routed to the node that can perform the most effective data aggregation. We then seek alternative forms of aggregation where, in principle, it is possible to aggregate readings from many sensors into a single one. To this end, we select Contour Maps as the most convenient example of data representation because they are used by various applications and, at the same time, allow for aggressive data aggregation. We describe particular aggregation and routing strategies that exploit the structure of Contour Maps. Namely, we use clustering based on the Contour Map values, as well as intra---cluster and inter---cluster routing and aggregation heuristics. Simulation results demonstrate the capabilities and limitations of the various varieties of aggregation/routing strategies.
Antonio Razo - One of the best experts on this subject based on the ideXlab platform.
-
IV - A Simple Technique for Modeling Terrains Using Contour Maps
2012 16th International Conference on Information Visualisation, 2012Co-Authors: Jose Anibal Arias, Roberto Carlos Reyes, Antonio RazoAbstract:In this paper we describe a simple modeling technique used to create precise and complex digital terrains models using Contour Maps. As a case study we use the terrain of the “Monte Alban” archeological site, located in the Mexican state of Oaxaca. We employ the technique with a simple Contour Map to obtain a realistic tridimensional terrain model that includes the four main hills of the site.
Nandi Haerudin - One of the best experts on this subject based on the ideXlab platform.
-
similarity_application of radon isotopes to determine permeable zones in rajabasa geothermal field
2020Co-Authors: Nandi HaerudinAbstract:This study aims to determine permeable zones (i.e. fault or fracture zones) in the Rajabasa geothermal field using radon isotopes. Radon concentration of soil gas was measured by Scintrex Radon detector RDA 200 consisting of 123 measurement station. The measurement site spacing was between 200 m and 350 m. The radon concentration was classified based on a statistical approach, i.e. low, high and very high. Very high value of radon concentration, called radon anomaly, associated with permeable zones. From the radon anomaly Contour Map, a 2D Radon migration from the source to the surface was modelled by means of numerical simulation. Finally, the radon Contour Map was overlaid with the surface geological Map and the resistivity Contour Map in the area of study. It suggests that the radon anomaly correlates with the location of permeable zone in the centre part of the study area i.e. mud pool manifestation at the Kunjir and the Cugung (Bulakan) fumarole. Based on numerical simulation, the width of the fault is 2,800 m; velocity of fluid is 0.08 m/s and the Radon concentration is 860,000 Beq/m3. The resistivity ContourMap results in low resistivity of 0 to 100 m indicating the conductive zone coincide with permeable zones based on radon measurements. Furthermore, the peak of the profile curve of Radon concentration could be an indication of fault systems in this area.
-
Application of Radon Isotopes to Determine Permeable Zones in Rajabasa Geothermal Field, Indonesia
Applied Mechanics and Materials, 2015Co-Authors: Nandi Haerudin, Wahyudi, Dikdik Risdianto, Wiwit SuryantoAbstract:This study aims to determine permeable zones (i.e. fault or fracture zones) in the Rajabasa geothermal field using radon isotopes. Radon concentration of soil gas was measured by Scintrex Radon detector RDA 200 consisting of 123 measurement station. The measurement site spacing are between 200 m and 350 m. The Radon concentration was classified based on a statistical approach, i.e. low, high and very high. Very high value of Radon concentration, called Radon anomaly, associated with permeable zones. From the Radon anomaly Contour Map, a 2D Radon migration from the source to the surface was modelled by means of numerical simulation. Finally, the Radon Contour Map was overlaid with the surface geological Map and the resistivity Contour Map in the area of study. It suggests that the Radon anomaly correlates with the location of permeable zone in the centre part of the study area i.e. mud pool manifestation at the Kunjir and the Cugung (Bulakan) fumarole. Based on numerical simulation, the width of the fault is 2,800 m; velocity of fluid is 0.08 m/s and the Radon concentration is 860,000 Beq/m3. The resistivity Contour Map results low resistivity value of 0 Wm – 100 Wm indicating the conductive zone coincide with permeable zones based on Radon measurements. Furthermore, the peak of the profile curve of Radon concentration could be an indication of fault systems in this area.
Shoudong Zou - One of the best experts on this subject based on the ideXlab platform.
-
routing and aggregation strategies for Contour Map applications in sensor networks
Wired Wireless Internet Communications, 2009Co-Authors: Shoudong Zou, Ioanis Nikolaidis, Janelle HarmsAbstract:We consider the limitations inherent in data aggregation techniques for wireless sensor networks. In particular, we illustrate the limitations of schemes in which data from a sensor are routed to the node that can perform the most effective data aggregation. We then seek alternative forms of aggregation where, in principle, it is possible to aggregate readings from many sensors into a single one. To this end, we select Contour Maps as the most convenient example of data representation because they are used by various applications and, at the same time, allow for aggressive data aggregation. We describe particular aggregation and routing strategies that exploit the structure of Contour Maps. Namely, we use clustering based on the Contour Map values, as well as intra---cluster and inter---cluster routing and aggregation heuristics. Simulation results demonstrate the capabilities and limitations of the various varieties of aggregation/routing strategies.
-
WWIC - Routing and Aggregation Strategies for Contour Map Applications in Sensor Networks
Lecture Notes in Computer Science, 2009Co-Authors: Shoudong Zou, Ioanis Nikolaidis, Janelle HarmsAbstract:We consider the limitations inherent in data aggregation techniques for wireless sensor networks. In particular, we illustrate the limitations of schemes in which data from a sensor are routed to the node that can perform the most effective data aggregation. We then seek alternative forms of aggregation where, in principle, it is possible to aggregate readings from many sensors into a single one. To this end, we select Contour Maps as the most convenient example of data representation because they are used by various applications and, at the same time, allow for aggressive data aggregation. We describe particular aggregation and routing strategies that exploit the structure of Contour Maps. Namely, we use clustering based on the Contour Map values, as well as intra---cluster and inter---cluster routing and aggregation heuristics. Simulation results demonstrate the capabilities and limitations of the various varieties of aggregation/routing strategies.
Jose Anibal Arias - One of the best experts on this subject based on the ideXlab platform.
-
IV - A Simple Technique for Modeling Terrains Using Contour Maps
2012 16th International Conference on Information Visualisation, 2012Co-Authors: Jose Anibal Arias, Roberto Carlos Reyes, Antonio RazoAbstract:In this paper we describe a simple modeling technique used to create precise and complex digital terrains models using Contour Maps. As a case study we use the terrain of the “Monte Alban” archeological site, located in the Mexican state of Oaxaca. We employ the technique with a simple Contour Map to obtain a realistic tridimensional terrain model that includes the four main hills of the site.
