Extraction of 10–30-Day Stable Components from a Boreal Atmosphere during ENSO Phases

Distinguishing the predictable 10–30-day stable components (STs) in the actual atmosphere has been important in atmospheric science research. In this study, a new method for extracting 10–30-day STs was developed with the use of historical observations. We extracted and analyzed 10–30-day STs via statistical extrapolation tests. The results show that the STs are maintained uniformly at the intraseasonal time scale; the overall trends in the atmospheric motion are revealed. Comparisons between pentad-by-pentad changes in the explained variances of the 10–30-day STs under ENSO phases show that the explained variance transmission attenuation trends for El Niño and La Niña years are weaker and more continuous than those of neutral years. Data for 10–30-day STs can remain continuous and stable from one month to the next. The proposed method and results present a new means of extracting predictable STs from the atmosphere using historical data.

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Detecting bursty terms in computer science research

Scientometrics ◽

10.1007/s11192-019-03307-5 ◽

2019 ◽

Vol 122 (1) ◽

pp. 681-699 ◽

Cited By ~ 1

Author(s):

E. Tattershall ◽

G. Nenadic ◽

R. D. Stevens

Keyword(s):

Computer Science ◽

Historical Data ◽

Science Research ◽

Detection Algorithm ◽

Trend Detection ◽

Free Text ◽

Research Topics ◽

Computer Science Research ◽

Insight Into ◽

Over Time

AbstractResearch topics rise and fall in popularity over time, some more swiftly than others. The fastest rising topics are typically called bursts; for example “deep learning”, “internet of things” and “big data”. Being able to automatically detect and track bursty terms in the literature could give insight into how scientific thought evolves over time. In this paper, we take a trend detection algorithm from stock market analysis and apply it to over 30 years of computer science research abstracts, treating the prevalence of each term in the dataset like the price of a stock. Unlike previous work in this domain, we use the free text of abstracts and titles, resulting in a finer-grained analysis. We report a list of bursty terms, and then use historical data to build a classifier to predict whether they will rise or fall in popularity in the future, obtaining accuracy in the region of 80%. The proposed methodology can be applied to any time-ordered collection of text to yield past and present bursty terms and predict their probable fate.

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A new method for the estimation of the instantaneous speed relative fluctuation in a vibration signal based on the short time scale transform

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2008.07.001 ◽

2009 ◽

Vol 23 (4) ◽

pp. 1382-1397 ◽

Cited By ~ 83

Author(s):

Francois Combet ◽

Radoslaw Zimroz

Keyword(s):

Time Scale ◽

Vibration Signal ◽

New Method ◽

Short Time Scale ◽

Relative Fluctuation ◽

Instantaneous Speed ◽

Short Time

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New Method of Measuring the Amount of Oxygen Storage/Release on Millisecond Time Scale on Planar Catalyst

Journal of Catalysis ◽

10.1006/jcat.2002.3715 ◽

2002 ◽

Vol 211 (1) ◽

pp. 157-164

Author(s):

Y SAKAMOTO ◽

K KIZAKI ◽

T MOTOHIRO ◽

Y YOKOTA ◽

H SOBUKAWA ◽

...

Keyword(s):

Time Scale ◽

New Method ◽

Oxygen Storage ◽

Millisecond Time Scale

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The Garment Fashionable Shape Prognosticating Based on Manufacture Database

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.55-57.1091 ◽

2011 ◽

Vol 55-57 ◽

pp. 1091-1096

Author(s):

Xiao Gang Wang ◽

Xin Zhan Li ◽

Yue Li

Keyword(s):

Data Mining ◽

Body Size ◽

Female Body ◽

Science Research ◽

New Method ◽

Mining Technology ◽

Cad System ◽

Large Numbers ◽

Error Bar ◽

Historical Database

Based on the research about outside shape of woman warm jacket more than twenty years, fashion variables that were representative and can describe the fashionable shape were discussed. Experiment was designed to achieve data of large numbers of female body. Body size variables were statistically analyzed to decide the module that was the basement for achieving data from historical photos. Fashionable characteristic diagrams of garment length, front chest width, shoulder length, collar height and their error bar charts were drawn for discussing the change of fashionable shape. The fashion trends in the future were also prognosticated scientifically. At the same time, a historical database was developed for manufacture and designing, which it is the basement for automatic pattern designing. This new method for fashion trend research was introduced by data mining technology, which it opens our minds for garment science research and offers a new database for improving garment CAD system.

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The importance of the Antarctic in atmospheric sciences

Philosophical Transactions of the Royal Society of London Series B Biological Sciences ◽

10.1098/rstb.1977.0090 ◽

1977 ◽

Vol 279 (963) ◽

pp. 275-285 ◽

Cited By ~ 5

Keyword(s):

Data Collection ◽

International Collaboration ◽

Science Research ◽

Atmospheric Science ◽

Atmospheric Sciences ◽

Data Collection And Analysis ◽

Global Problems ◽

Prime Objective ◽

The Antarctic ◽

New Instruments

A prime objective of atmospheric science research in Antarctica is to use the special conditions found there to throw new light on global problems and, in particular, to test theories of the dynamics of the environment and its reactions to solar phenomena. This involves much international collaboration in planning, data collection and analysis, which is briefly described. The British Antarctic Survey theatre of operations is geographically and magnetically unique and therefore offers exceptionally favourable conditions for such tests. The development of new instruments, in particular those carried by satellite, has made research possible in uninhabited regions and enabled problems to be studied which were previously impracticable. The objects of this paper are to draw attention to the needs and possibilities, and to show some of the ways in which the specific investigations discussed by other contributors interact.

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An Automatic Designing Method for Apparel

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.88-89.175 ◽

2011 ◽

Vol 88-89 ◽

pp. 175-179

Author(s):

Xiao Gang Wang ◽

Qin Zheng ◽

Xin Zhan Li

Keyword(s):

Point Cloud ◽

Science Research ◽

Mathematic Model ◽

New Method ◽

Scanning System ◽

Body Scanning ◽

3D Shape ◽

Vertical Sections ◽

Set Up ◽

Designing Method

In this article we discuss a new method for describing the 3D shape of woman warm jacket and set up its mathematic model, which is by dint of body scanning technology. Telmat scanning system scanned samples. The scanning point cloud were analyzed in horizontal and vertical sections. Outlines of vertical sections were described and mathematic models were set up. The result helped to prognosticate the shape of woman warm jacket. A new describing method for 3D shape is discussed. And it opens our mind to utilize body-scanning technology for deeper science research.

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Investigating the Meteorological Drought Using CZI in Nineveh Governorate, Iraq.

Tikrit Journal of Engineering Sciences ◽

10.25130/tjes.28.4.02 ◽

2021 ◽

Vol 28 (4) ◽

pp. 14-24

Author(s):

Omar M. A. Mahmood Agha

Keyword(s):

Time Scale ◽

Historical Data ◽

Meteorological Drought ◽

The Other ◽

Drought Intensity ◽

Moderate Drought ◽

Average Probability ◽

Mild Drought

This paper deals with the study of drought in the Nineveh region usingthe Chinese Z index (CZI) for a time scale (1 month). Historical data wereused from 1981 to 2018 for Mosul, Sinjar, and Tal Afar stations. Thereturn period and probability event for the moderate drought werecalculated for each month separately. The results indicated that allstations experienced the highest drought intensity in March comparedwith the other months. The average probability of moderate droughtranged between 0-0.31 for all months, and the maximum severity of thedrought was found in December from 2004 to 2008 for all stations. Inaddition, the results showed that the region's climate during the studyperiod was within the mild drought and humidity (closest to normal).This paper is the first study using the Chinese Z-index (CZI) in the studyarea and the Iraq region

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Tissue characterization with ballistic photons: counting scattering and/or absorption centres

Opto-Electronics Review ◽

10.1515/oere-2015-0011 ◽

2015 ◽

Vol 23 (1) ◽

Cited By ~ 3

Author(s):

F. Corral ◽

M. Strojnik ◽

G. Paez

Keyword(s):

Piezoelectric Actuator ◽

Tissue Characterization ◽

Total Concentration ◽

Phase Delay ◽

New Method ◽

Experimental Setup ◽

Transmission Attenuation ◽

Pass Through ◽

Integrated Or ◽

Ballistic Photons

AbstractWe describe a new method to separate ballistic from the scattered photons for optical tissue characterization. It is based on the hypothesis that the scattered photons acquire a phase delay. The photons passing through the sample without scattering or absorption preserve their coherence so they may participate in interference. We implement a Mach−Zehnder experimental setup where the ballistic photons pass through the sample with the delay caused uniquely by the sample indices of refraction. We incorporate a movable mirror on the piezoelectric actuator in the sample arm to detect the amplitude of the modulation term. We present the theory that predicts the path−integrated (or total) concentration of the scattering and absorption centres. The proposed technique may characterize samples with transmission attenuation of ballistic photons by a factor of 10

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The Application of GIS Techniques to Russian Historical Research: the Novorgev district used as a case study

History and Computing ◽

10.3366/hac.1996.8.3.169 ◽

1996 ◽

Vol 8 (3) ◽

pp. 169-183 ◽

Cited By ~ 1

Author(s):

Nina V Piotukh

Keyword(s):

Information System ◽

Geographic Information System ◽

Historical Data ◽

Geographic Information ◽

Historical Research ◽

New Method ◽

Complex Investigation ◽

Gis Techniques ◽

Application Of Gis

The application of the Geographic Information System in historical research helps to visualize historical data, to postulate hypothesis and gives a new method of a more complex investigation. GIS is used in this study to present historical data on maps, to clarify some source studying questions and to analyze settlement and farming location on the territory of Novorgev district.

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