Detecting Changes in Time Sequences with the Competitive Detector

2017 ◽  
pp. 251-267
Author(s):  
Leszek J. Chmielewski ◽  
Arkadiusz Orłowski
Keyword(s):  
Time Sequences

Online Data Mining for Co-Evolving Time Sequences

1999 ◽  
Author(s):  
B. K. Yi ◽  
N. D. Sidiropoulos ◽  
T. Johnson ◽  
H. V. Jagadish ◽  
C. Faloutsos
Keyword(s):  
Data Mining ◽  
Online Data ◽  
Time Sequences

Konceptualizowanie uczuć jako specyfika opisu przeżyć w tekstach uczniowskich

2020 ◽  
Vol 11 ◽  
pp. 163-183
Author(s):  
Barbara Szczerbińska
Keyword(s):  
Primary School ◽  
Emotional Reactions ◽  
Proper Part ◽  
Primary School Students ◽  
School Students ◽  
Contrast Technique ◽  
Linguistic Activity ◽  
The Given ◽  
Time Sequences

The aim of the article is to analyze the development of the description of experiences and the conceptualisation of feelings in the school essays. The author analyzes the proper part of the description of experiences prepared by primary school students; the interpretation consists of both treating the text as a product – the effect of using technology in the process of linguistic activity – as well as introducing the students’ textual abilities and skills. The analyzed texts include the authors’ own interpretations of their experiences, starting from the presentation of stimuli that triggered the given feelings, through describing the accompanying and emotional reactions, and ending with the description of the results derived from the experienced emotions. The essence of the description of experiences is the conceptualization of feelings, for the development of which students use three different schemas: simple time sequences, the contrast technique and the “kaleidoscope technique”.

scholarly journals Foundation Settlement Prediction Based on a Novel NGM Model

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Peng-Yu Chen ◽  
Hong-Ming Yu
Keyword(s):  
Prediction Accuracy ◽  
Forecasting Model ◽  
Foundation Settlement ◽  
Engineering Construction ◽  
Settlement Prediction ◽  
Exponential Law ◽  
Grey Forecasting ◽  
Index Sequence ◽  
Settlement Time ◽  
Time Sequences

Prediction of foundation or subgrade settlement is very important during engineering construction. According to the fact that there are lots of settlement-time sequences with a nonhomogeneous index trend, a novel grey forecasting model called NGM(1,1,k,c)model is proposed in this paper. With an optimized whitenization differential equation, the proposed NGM(1,1,k,c)model has the property of white exponential law coincidence and can predict a pure nonhomogeneous index sequence precisely. We used two case studies to verify the predictive effect of NGM(1,1,k,c)model for settlement prediction. The results show that this model can achieve excellent prediction accuracy; thus, the model is quite suitable for simulation and prediction of approximate nonhomogeneous index sequence and has excellent application value in settlement prediction.

scholarly journals Comparison of two ultrashort echo time sequences for the quantification ofT1within phantom and human Achilles tendon at 3 T

2012 ◽  
Vol 68 (4) ◽  
pp. 1279-1284 ◽  
Author(s):  
Peter Wright ◽  
Vladimir Jellus ◽  
Dennis McGonagle ◽  
Matthew Robson ◽  
John Ridgeway ◽  
...  
Keyword(s):  
Achilles Tendon ◽  
Ultrashort Echo Time ◽  
Echo Time ◽  
Time Sequences
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