Suggested Method of Test for Moisture-Density Relations of Gravelly Soils

Author(s):  
AA Wagner
Author(s):  
Kazuki Karashima ◽  
Akira Ohgai

To minimize the damage caused by large earthquakes, mutual assistance activities between residents and rescue victims (i.e., to support residents who cannot evacuate individually) are important. To enhance these activities, the technologies and methods for creating a Community Disaster Management Plan (CDMP), based on the quantitative evaluation of mutual assistance abilities, are required. However, the lack of a method for it is a key issue. This study aims to develop a methodology of workshops for making CDMPs by using the developed support tool by the authors to explore and promote mutual assistance activities. Through the demonstration and examination of a Community Disaster Management Plan on actual districts, the findings mentioned in this article were obtained. Moreover, the usability of this method is shown. In particular, this method is effective at revising CDMPs, and raising resident awareness on the importance of mutual assistance. The suggested method can also improve the lack of techniques involved in promoting mutual assistance.


1996 ◽  
Vol 2 (3) ◽  
pp. 527-621 ◽  
Author(s):  
P.G. Scott ◽  
S.F. Elliott ◽  
L.J. Gray ◽  
T.W. Hewitson ◽  
D.J. Lechmere ◽  
...  

ABSTRACTThis paper reviews the present statutory valuation method and regime. It discusses the usefulness and effectiveness of the method in relation to the current range of insurance contracts. It suggests a possible alternative approach to statutory valuation which could enable offices to demonstrate both their solvency and their ability to meet policyholders' reasonable expectations. It reviews the effects of introducing the suggested method and its relationship with other current reporting issues.


2012 ◽  
Vol 46 (3) ◽  
pp. 645-653 ◽  
Author(s):  
S. J. Li ◽  
Xia-Ting Feng ◽  
J. A. Hudson

1955 ◽  
Vol 55 (8) ◽  
pp. 997
Author(s):  
Katharine J. Densford ◽  
Florence Nightingale International Foundation

BDJ ◽  
1977 ◽  
Vol 142 (8) ◽  
pp. 261-261 ◽  
Author(s):  
J S Reid ◽  
P Newman
Keyword(s):  

Author(s):  
Mr. Kiran Mudaraddi

The paper presents a deep learning-based methodology for detecting social distancing in order to assess the distance between people in order to mitigate the impact of the coronavirus pandemic. The input was a video frame from the camera, and the open-source object detection was pre-trained. The outcome demonstrates that the suggested method is capable of determining the social distancing measures between many participants in a video.


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