scholarly journals Installation of a Devonian Shale Reservoir Testing Facility and acquisition of reservoir property measurements

1991 ◽  
Author(s):  
C.D. Locke ◽  
S.P. Salamy
Keyword(s):  
Reservoir Property ◽  
Testing Facility ◽  
Devonian Shale ◽  
Shale Reservoir

Evaluation of Devonian Shale Reservoir Using Multi-Well Pressure Transient Testing Data

1982 ◽  
Author(s):  
Byung Oh Lee ◽  
Javaid Alam ◽  
Walter K. Sawyer ◽  
Keith Horan ◽  
Karl-Heinz Frohne
Keyword(s):  
Pressure Transient ◽  
Testing Data ◽  
Devonian Shale ◽  
Shale Reservoir

Comprehensive Study of the Performance of Winter Tires on Ice, Snow, and Asphalt Roads: The Influence of Tire Type and Wear

2017 ◽  
Vol 45 (3) ◽  
pp. 175-199 ◽  
Author(s):  
Mattias Hjort ◽  
Olle Eriksson ◽  
Fredrik Bruzelius
Keyword(s):  
Vehicle Performance ◽  
Testing Facility ◽  
Recorded Data ◽  
Winter Road ◽  
Tire Testing ◽  
Tire Forces ◽  
Real Traffic ◽  
Real Vehicle ◽  
Comprehensive Study

ABSTRACT This work presents a comprehensive study of the performance of winter tires on snow, ice, and asphalt. A set of 77 different winter tires were carefully selected for the study. Of these, 27 were new and 50 were worn from real traffic use. All three tire types for winter conditions (Nordic, European, and studded) were represented. All tires have been tested using a mobile tire-testing device for snow and asphalt and using a stationary tire-testing facility for ice. Both devices recorded the tire forces and motions, enabling a close to complete stationary characterization of the tires. In addition, 42 of the tires were tested on a passenger car, where brake performance was evaluated for the three different road conditions. This enables a comparative study of performance between tire types and wear for various winter road conditions. The results suggest that the recorded data represent real vehicle performance. Some conclusions from the measurements are that the effect of wear is consistent between the tire groups and that the performance degradation is most noticeable on studded tires on ice and on European tires on snow.

Low-Cost Hardware Implementation of Human Blood Identification Device Using Feed-Forward Artificial Neural Network on FPGA

2018 ◽  
Author(s):  
Rizki Eka Putri ◽  
Denny Darlis
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Low Cost ◽  
Image Resolution ◽  
Blood Type ◽  
Feed Forward ◽  
Testing Facility ◽  
System Input ◽  
Artificial Neural ◽  
Short Time

This article was under review for ICELTICS 2018 -- In the medical world there is still service dissatisfaction caused by lack of blood type testing facility. If the number of tested blood arise, a lot of problems will occur so that electronic devices are needed to determine the blood type accurately and in short time. In this research we implemented an Artificial Neural Network on Xilinx Spartan 3S1000 Field Programable Gate Array using XSA-3S Board to identify the blood type. This research uses blood sample image as system input. VHSIC Hardware Discription Language is the language to describe the algorithm. The algorithm used is feed-forward propagation of backpropagation neural network. There are 3 layers used in design, they are input, hidden1, and output. At hidden1layer has two neurons. In this study the accuracy of detection obtained are 92%, 92%, 92%, 90% and 86% for 32x32, 48x48, 64x64, 80x80, and 96x96 pixel blood image resolution, respectively.

Sign in / Sign up

Export Citation Format

Share Document