Distribution line protection practices industry survey results

1995 ◽  
Vol 10 (1) ◽  
pp. 176-186 ◽  
Author(s):  
W.M. Strang ◽  
R.M. Westfall ◽  
A.N. Darlington ◽  
P.R. Drum ◽  
D. Fulton ◽  
...  
Author(s):  
W.M. Strang ◽  
R.M. Westfall ◽  
A.N. Darlington ◽  
P.R. Drum ◽  
D. Fulton ◽  
...  

2015 ◽  
Vol 77 (27) ◽  
Author(s):  
Norashikin Rahman ◽  
Baba Md Deros ◽  
Mohd Nizam Ab Rahman ◽  
Jaharah A. Ghani ◽  
Chairul Saleh

This paper is based on a survey conducted on top management’s benchmarking understanding, awareness and barriers in the Malaysian oil palm industry. The two main objectives of this paper are: firstly, to investigate the level of understanding and knowledge; secondly, to identify the barriers that could hinder and disrupt the benchmarking implementation in the Malaysian oil palm industry. A survey questionnaire tested for reliability and validated by experts and practitioners was developed and distributed through postal mail and email to 700 respondents involved in the oil palm industry.  Survey results revealed that 77.9% of them are still in the moderate category, 8.1% in the low category and only 14% have good benchmarking understanding and knowledge. Survey results also showed that the three main barriers faced during the benchmarking implementation are due to: lack of understanding on the benchmarking knowledge, lack of clarity with regard to specific areas to be benchmarked and top management culture


JOM ◽  
2011 ◽  
Vol 63 (1) ◽  
pp. 21-21
Author(s):  
Maureen Byko

1996 ◽  
Vol 11 (1) ◽  
pp. 174-183 ◽  
Author(s):  
W.M. Strang ◽  
C.J. Mozina ◽  
B. Beckwith ◽  
T.R. Beckwith ◽  
S. Chhak ◽  
...  

1987 ◽  
Vol 2 (4) ◽  
pp. 1053-1059 ◽  
Author(s):  
R. W. Dempsey ◽  
J. K. Akamine ◽  
E. A. Baumgartner ◽  
J. T. Emery ◽  
R. W. Haas ◽  
...  

2011 ◽  
Vol 268-270 ◽  
pp. 1332-1338
Author(s):  
Feng Ri Li ◽  
He Zhi Wang ◽  
Wei Wei Jia ◽  
Zhao Gang Liu

As the basis of 1:10000 color aerial remote sensing image of Ulan Buh Desert, Inner Mongolia, this paper studies on white thorn which is a typical representative of the nature of scarcity and mass organizations like the vegetation in the desert region. By using mathematical morphology theory and the Matlab 7.0 software, the white thorn will be conducted from the remote sensing image segmentation. Comparing the conducted image with the outer shape of the industry survey results, the accuracy of segmentation could be verified by the gray-level co-occurrence matrix comparisons. This research provides the technical reference for the large sample survey of desert region by remote sensing image segmentation.


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