The Road To Efficient Wide-Azimuth High-Density 3D Land Vibroseis Acquisition

2007 ◽  
Author(s):  
Jean-Jacques Postel ◽  
Julien Meunier ◽  
Thomas Bianchi ◽  
Alain Depeyras
Keyword(s):  
2007 ◽  
Author(s):  
Jean-Jacques Postel ◽  
Julien Meunier ◽  
Thomas Bianchi ◽  
Alain Depeyras
Keyword(s):  

2006 ◽  
Vol 88 (4-5) ◽  
pp. 597-604 ◽  
Author(s):  
E BLASS ◽  
D ANDERSON ◽  
H KIRKORIAN ◽  
T PEMPEK ◽  
I PRICE ◽  
...  

Bakti Budaya ◽  
2018 ◽  
Vol 1 (2) ◽  
pp. 206
Author(s):  
Musadad Musadad

Te Sunan Kalijaga tomb complex located in Kadilangu, Demak, Central Java is an archaeologicalsite that have very high signifcance values in terms of history, culture, and economy. Tis tomb complexis always fully-visited by pilgrims from various regions. Te peak season of the tomb visiting periodis in the month of Syafar, one month before Ramadan. At the time, the visitors must be trapped in along queue in the corridor that was prepared by Yayasan Sunan Kalijaga to enter the tomb complex.Tis condition certainly leads inconveniences for pilgrims and it may decrease the site's signifcancevalues. For this reason, efforts are needed to reduce pilgrimage density in the corridors of pilgrimsfrom the entrance gate to the site complex. Alternative proposals to reduce pilgrim density are proposedin two alternatives. Te frst, after the pilgrimage procession reaches and fnishes their pilgrimage,the visitors should go out through another door and pass the south corridor of the mosque to theroad on the east side of the mosque heading south to the ancient lake and heading to the road to theparking lot. Te second proposal is that pilgrims passes through the existing corridor to enter andto exit, but the corridor is divided into two lanes in frm and very strict arrangements. Tis meansthat pilgrims should not enter the wrong lane and there are restrictions on the amount of entry ata time of high density.


Author(s):  
K. Kiss ◽  
J. Malinen ◽  
T. Tokola

Good quality forest roads are important for forest management. Airborne laser scanning data can help create automatized road quality detection, thus avoiding field visits. Two different pulse density datasets have been used to assess road quality: high-density airborne laser scanning data from Kiihtelysvaara and low-density data from Tuusniemi, Finland. The field inventory mainly focused on the surface wear condition, structural condition, flatness, road side vegetation and drying of the road. Observations were divided into poor, satisfactory and good categories based on the current Finnish quality standards used for forest roads. Digital Elevation Models were derived from the laser point cloud, and indices were calculated to determine road quality. The calculated indices assessed the topographic differences on the road surface and road sides. The topographic position index works well in flat terrain only, while the standardized elevation index described the road surface better if the differences are bigger. Both indices require at least a 1 metre resolution. High-density data is necessary for analysis of the road surface, and the indices relate mostly to the surface wear and flatness. The classification was more precise (31–92%) than on low-density data (25–40%). However, ditch detection and classification can be carried out using the sparse dataset as well (with a success rate of 69%). The use of airborne laser scanning data can provide quality information on forest roads.


Author(s):  
J.J.P. Postel ◽  
J.M. Meunier ◽  
T.B. Bianchi ◽  
A.D. Depeyras
Keyword(s):  

2010 ◽  
Vol 150 ◽  
pp. 473
Author(s):  
D. Barabaschi ◽  
L. Orru’ ◽  
K. Lacrima ◽  
P. Faccioli ◽  
M. Colaiacovo ◽  
...  

Author(s):  
K. Kiss ◽  
J. Malinen ◽  
T. Tokola

Good quality forest roads are important for forest management. Airborne laser scanning data can help create automatized road quality detection, thus avoiding field visits. Two different pulse density datasets have been used to assess road quality: high-density airborne laser scanning data from Kiihtelysvaara and low-density data from Tuusniemi, Finland. The field inventory mainly focused on the surface wear condition, structural condition, flatness, road side vegetation and drying of the road. Observations were divided into poor, satisfactory and good categories based on the current Finnish quality standards used for forest roads. Digital Elevation Models were derived from the laser point cloud, and indices were calculated to determine road quality. The calculated indices assessed the topographic differences on the road surface and road sides. The topographic position index works well in flat terrain only, while the standardized elevation index described the road surface better if the differences are bigger. Both indices require at least a 1 metre resolution. High-density data is necessary for analysis of the road surface, and the indices relate mostly to the surface wear and flatness. The classification was more precise (31–92%) than on low-density data (25–40%). However, ditch detection and classification can be carried out using the sparse dataset as well (with a success rate of 69%). The use of airborne laser scanning data can provide quality information on forest roads.


Author(s):  
J.J. Postel ◽  
J. Meunier ◽  
T. Bianchi ◽  
A. Depeyras
Keyword(s):  

The aim of this project is to provide alternative solution for the traffic signal system in clearing high density traffic jam. Now a day’s more number of vehicles is coming on to the road creating more traffic congestion at any junction. The traffic congestion is a severe problem when there arises high density at a particular junction. Especially when there is an emergency like ambulance, fire brigade stuck in the traffic they require priority to go first. In such cases it is necessary to override the normal signal timings automatically. To overcome this problem, this project uses CCTV cameras on each side of junction. It assigns longer green light with the help of the micro controller whenever it sensing the heavy density and whenever it finds emergency vehicles stuck in traffic like ambulance, fire brigade etc they require priority to go first. In this manner it overrides the standard signal timings there by it saves the waiting time of the vehicular. This project uses micro controller interfacing with CCTV aligned in the sight configuration across the load for detecting the density. Once the image is captured from the CCTV footage, it is converted into greyscale image. The greyscale image is passed through the median filter in order to reduce the noise present in it. Further Canny edge detection finds the intensity gradients of the images by suppressing all the other edges that weak and not connected to the strong edges. Then based on the canny image the density is calculated and turns the green light on at the heavy density road side of junction


2021 ◽  
Vol 36 (2) ◽  
pp. 156-164
Author(s):  
A. Fazli ◽  
D. Rodrigue

Abstract In this work, thermoplastic elastomers (TPE) are produced by melt mixing of recycled high-density polyethylene (RHD) with two types of off-the-road (OTR) ground tire rubber (GTR). Non-regenerated (NR) and regenerated (RR) rubbers are used to investigate the effect of GTR concentration and regeneration on the blends properties containing up to 90 wt.% GTR. The blend morphology is studied by scanning electron microscopy (SEM) to show incompatibility and low interfacial adhesion between RHD and GTR (NR and RR) especially above 40 wt.% RR. This behavior is attributed to the GTR regeneration process and agglomeration of RR particles with lower surface area and affinity toward RHD compared with NR. In all the compounds, the mechanical properties in tension of RR blends were lower than for NR blends, which is attributed to the degradation of the GTR backbone chains lowering the molecular weight (MW) during the regeneration process. Also, NR has a more important effect on impact strength improvement due to its higher crosslinked structure making the particles more deformable/elastic to absorb the mechanical energy before crack initiation. The experimental results also show that 80 wt.% GTR is the optimum concentration for the production of low cost and eco-friendly TPE based on recycled materials.


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