The shrinking continent: new time - space maps of Europe

1994 ◽  
Vol 21 (6) ◽  
pp. 653-673 ◽  
Author(s):  
K Spiekermann ◽  
M Wegener
Keyword(s):  
2018 ◽  
Author(s):  
Laurel G. Woodruff ◽  
◽  
Suzanne W. Nicholson ◽  
Connie L. Dicken ◽  
Klaus J. Schulz

1995 ◽  
Vol 32 (6) ◽  
pp. 758-767 ◽  
Author(s):  
Stephen R. Hicock ◽  
Olav B. Lian

Sisters Creek Formation is formally defined, stratotypes are established for it, and the time–space chart is updated for the Fraser Lowland, southwestern British Columbia. The Sisters Creek is a Pleistocene formation comprising in situ and reworked organic-rich sediments, and nonorganic silt, sand, and gravel. The formation was deposited during the Port Moody interstade (within the Late Wisconsinan Fraser Glaciation; δ18O stage 2) between the Coquitlam stade (early Fraser Glaciation) and the main Vashon stadial maximum that occurred about 14.5 ka. The Sisters Creek Formation represents a glacial recession in southwestern British Columbia that generally coincided with the timing of the last global glacial maximum. The new time–space chart implies that, in Fraser Lowland, the Fraser Glaciation represents the rapid advances and retreats of glacial lobes issuing from surrounding mountains, which remained ice-covered during interstades.


2014 ◽  
Vol 651-653 ◽  
pp. 2287-2290
Author(s):  
Zi Hua Zhang ◽  
Hua An Zhang ◽  
Zhi Ying Zhong

we pointed out the idea of Einstein, light speed is independent of the observer i.e. The principle of light speed invariance is incorrect. Instead of Lorentz Transformation we suggested a new time-space transformation, this revision of the Relativity will deeply effect the development of Science and Technology.


2013 ◽  
Vol 56 (6) ◽  
pp. 840-850 ◽  
Author(s):  
LIANG Wen-Quan ◽  
YANG Chang-Chun ◽  
WANG Yan-Fei ◽  
LIU Hong-Wei

2021 ◽  
Author(s):  
Tingting Feng ◽  
Liang Guo ◽  
Hongli Gao ◽  
Tao Chen ◽  
Yaoxiang Yu ◽  
...  

Abstract In order to accurately monitor the tool wear process, it is usually necessary to collect a variety of sensor signals during the cutting process. Different sensor signals in the feature space can provide complementary information. In addition, the monitoring signal is time series data, which also contains a wealth of tool degradation information in the time dimension. However, how to fuse multi-sensor information in time and space dimensions is a key issue that needs to be solved. This paper proposes a new time-space attention mechanism driven multi-feature fusion method to realize the tool wear monitoring. Firstly, lots of features are established from different sensor signals and selected preliminarily. Then, a new feature fusion model with time-space attention mechanism is constructed to fuse features in time and space dimensions. Finally, the tool degradation model is established according to the predicted wear, and the tool remaining useful life is predicted by particle filter. The effectiveness of this method is verified by a tool life cycle wear experiment. Through comparing with other feature fusion models, it is demonstrated that the proposed method realizes the tool wear monitoring more accurately and has better stability.


Algorithms ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 234
Author(s):  
Hideo Bannai ◽  
Travis Gagie ◽  
Gary Hoppenworth ◽  
Simon J. Puglisi ◽  
Luís M. S. Russo

We extend recent results regarding finding shortest unique substrings (SUSs) to obtain new time-space tradeoffs for this problem and the generalization of finding k-mismatch SUSs. Our new results include the first algorithm for finding a k-mismatch SUS in sublinear space, which we obtain by extending an algorithm by Senanayaka (2019) and combining it with a result on sketching by Gawrychowski and Starikovskaya (2019). We first describe how, given a text T of length n and m words of workspace, with high probability we can find an SUS of length L in O(n(L/m)logL) time using random access to T, or in O(n(L/m)log2(L)loglogσ) time using O((L/m)log2L) sequential passes over T. We then describe how, for constant k, with high probability, we can find a k-mismatch SUS in O(n1+ϵL/m) time using O(nϵL/m) sequential passes over T, again using only m words of workspace. Finally, we also describe a deterministic algorithm that takes O(nτlogσlogn) time to find an SUS using O(n/τ) words of workspace, where τ is a parameter.


1999 ◽  
Vol 4 (1) ◽  
pp. 107-120
Author(s):  
Lothar Schröder

Formerly the classic center of gravity for the world of work, the workplace as such is now losing its formative influence. It was on the workplace that instruments of social standardization were previously fixed. Work is becoming more flexible in time and more mobile in space; work forms are becoming more multilayered; CVs are looking increasingly more discontinuous. As new time-space relations emerge, new principles of action for dealing with social standardization are necessary. A joint trade union venture known as the multimedia + workworld bureau has already launched a number of experiments: work operations organized in keeping with the principles of management by objectives; an advisory service for questions relating to telework; the operation of a virtual network of experts; the development of benchmarks for matters of in-company data protection; ideas for supplementing the traditional instruments of social standardization.


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