The research of the long-distance runner’s physical index based on data analysis

2015 ◽  
pp. 743-747
Author(s):  
Cheng Liu
Keyword(s):  
Data Analysis ◽  
Long Distance ◽  
Physical Index

THE USE OF DECONVOLUTION TECHNIQUE FOR THE ANALYSIS OF GAMMA SPECTROMETRY DATA FROM FIELD MONITORING USING UNMANNED AERIAL VEHICLES

2019 ◽  
Vol 186 (2-3) ◽  
pp. 284-287
Author(s):  
Jaroslav Klusoň ◽  
Lenka Thinová
Keyword(s):  
Data Analysis ◽  
Unmanned Aerial Vehicles ◽  
Gamma Spectrometry ◽  
Long Distance ◽  
Air Kerma ◽  
Aerial Vehicles ◽  
Deconvolution Technique ◽  
Scan Data ◽  
Deconvolution Techniques ◽  
Short Time

ABSTRACT Airborne gamma spectrometry is an effective tool for prompt monitoring and mapping of large areas contaminated after NPP accident, radionuclides leakage cases, an impact of uranium ore mining and processing, etc. Airborne spectrometry data analysis using deconvolution technique enables to calculate air kerma rates and/or radionuclides concentrations as well as identification of radionuclides. Application of this technique on the airborne data (from manned as well as an unmanned survey using drones) is rather specific due to the requirements for short time of one scan data acquisition, a relatively long distance from the source and small detector size, due to the limited payload of the usually used drones. Application of deconvolution techniques for analysis of spectra with very poor statistics, methods and possibilities to improve the processing of such spectra are discussed.

Long-Distance Methanol Monitoring System Based on GSM

2012 ◽  
Vol 503-504 ◽  
pp. 1408-1411
Author(s):  
Xiao Mei Jiang ◽  
Yan Nian Rui
Keyword(s):  
Data Analysis ◽  
Remote Control ◽  
Monitoring System ◽  
Catalytic Combustion ◽  
Wide Spread ◽  
Software Module ◽  
Long Distance ◽  
Wireless Monitoring ◽  
Dynamic Display ◽  
Gsm Network

This thesis introduces long-distance methanol monitoring system through catalytic combustion, describing its hardware structure and software module, achieving dynamic display of data, analysis, remote control and data management. It is an effective mode to use GSM network as information transport platform for wireless monitoring system, with advantages of simple principle, high security, wide spread and so on, valuing important in practical use

scholarly journals Revolusi Pembelajaran dalam Matematika sebagai Konsekuensi dari Implementasi Physical Distancing

2020 ◽  
Vol 32 (1) ◽  
pp. 70-79
Author(s):  
Faizatur Rofi'ah
Keyword(s):  
Data Analysis ◽  
Online Discussions ◽  
Math Learning ◽  
Long Distance ◽  
Internet Service ◽  
Face To Face ◽  
Analysis Techniques ◽  
Source Data ◽  
Data Validity ◽  
Online Quizzes

The proliferation of the corona virus affects all aspects of life, including education. This led to a revolution in the learning from conventional to digital. The purpose of this study is to 1) describe the general review of learning in mathematics and; 2) analyzing the alternatives to the learning revolution in mathematics with the physical policy of physical distancing. This research uses type of reference research. The validity test uses source data triangulation. Data validity obtained with various sources and extensions. Data analysis techniques use constant methods of comparison. The result of this article, which is 1) in general, math learning has been more conventional (face to face) and; 2) there is an alternative to math related to physical distancing, which is online/long-distance learning by making good use of accessible applications through Internet service. Online math learning by giving both a learning video, the settings are as interesting as possible, online discussions, and assessments through online quizzes.

APAKAH PANDEMI COVID-19 BERPENGARUH TERHADAP PRODUKTIVITAS PENELITIAN TENTANG PERPUSTAKAAN PADA JURNAL INTERNASIONAL?

2021 ◽  
Vol 23 (2) ◽  
pp. 93-98
Author(s):  
Prasetyo Adi
Keyword(s):  
Data Analysis ◽  
Distance Learning ◽  
Learning Process ◽  
Information Science ◽  
Secondary Data ◽  
Quantitative Approach ◽  
Scientific Article ◽  
Publication Productivity ◽  
Long Distance ◽  
Corona Virus

Corona virus pandemic restricts public activities. Libraries as information provider can help long-distance learning process due to Corona. Librarians as library operators are demanded to innovate through research and publication. This study aims to analyse if Corona virus pandemic influences productivity of Indonesian authors’ publication in accredited international journal. This study uses quantitative approach with secondary data analysis. Sample for this research are papers/scientific articles published with the keyword or topic “library”, the keyword or topic “information science”, and whose corresponding author is from Indonesia. Results of this research shows that Corona virus pandemic did not significantly influence publication productivity. In addition, scientific article on information science was more preferable than topic on library. 

One Product, Two Markets: How Geography Differentiates Online Newspaper Audiences

2007 ◽  
Vol 84 (3) ◽  
pp. 562-581 ◽  
Author(s):  
George Sylvie ◽  
Hsiang Iris Chyi
Keyword(s):  
Data Analysis ◽  
Secondary Data ◽  
Secondary Data Analysis ◽  
Local Market ◽  
Substantial Portion ◽  
Long Distance ◽  
Online Newspapers ◽  
Online Newspaper ◽  
Online Traffic ◽  
Print Market

A secondary data analysis of 136 U.S. online newspapers' usage reports investigates how geography differentiates online newspaper audiences. Results showed that online newspaper penetration is stronger in the local market, but the local market accounts for less than 50% of the overall traffic—suggesting that the size of the long-distance readership is larger than previously anticipated. Larger newspapers tend to attain a larger online audience (in raw numbers), but all newspapers attain a substantial portion of online traffic from outside the print market. Online or not, geography still matters.

scholarly journals HUBUNGAN KESEPIAN DAN KECENDERUNGAN BERSELINGKUH PADA WANITA YANG MENJALANI HUBUNGAN PERNIKAHAN JARAK JAUH

2020 ◽  
Vol 16 (1) ◽  
Author(s):  
Bramasto Bima Hendra ◽  
Ratriana Y. E. Kusumiati
Keyword(s):  
Data Analysis ◽  
Positive Relationship ◽  
Pearson Correlation ◽  
Sampling Technique ◽  
Marital Relationships ◽  
Long Distance ◽  
Relationship Of ◽  
The Relationship

This study aims to examine the relationship of loneliness and the tendency to cheat on women who undergo long-distance marital relationships. The hypothesis of this study is that there is a positive relationship between loneliness and the tendency to have an affair in women undergoing long-distance marriages. Participants in this study amounted to 31 subjects obtained by accidental sampling technique, with the criteria of women undergoing long-distance marital relationships for at least two months. Data were collected on a lonely scale from Ucla Version 3 and the scale of cheating tendencies. Data analysis used Pearson correlation with the help of SPSS 23. The results showed a positive relationship between loneliness and the tendency to have an affair in women undergoing long-distance marriage (r = 0.501; p = 0.002).Keywords: Loneliness, Tendency To Cheat, Women Undergoing Long-Distance Marriage.

The Identification of Sport Talents Using a Sport Search

2021 ◽  
Vol 6 (1) ◽  
pp. 101-106
Author(s):  
Ridwan Sinurat ◽  
Tofikin Tofikin
Keyword(s):  
Data Analysis ◽  
Research Method ◽  
Sampling Technique ◽  
Rock Climbing ◽  
Long Distance ◽  
Fast Running ◽  
Long Distance Running ◽  
Analysis Technique ◽  
Quantitative Descriptive ◽  
Descriptive Method

This study aims to identify students who have talent based on the results of the talent analysis conducted at SMP 1 Rambah Rokan Hulu. This research method is a quantitative descriptive method. The data analysis technique used was sports test tracing. The sampling technique used was purposive sampling technique, meanwhile the samples determined by the researcher were students who like to exercise and are interested and willing to take part in this research. Based on these criteria, the sample size is 30 people. The results showed that 6.7% of children have shown their talent in long-distance running, 16.7% of children showed their talent in the sport of Judo, 6.7% of the children were gifted in the sport of rock climbing, 23.3% of the children showed their talent fast running, 23.3 % of children in street sports, 3.3% of children in Steeppleechase, 3.3% of children in hurdling, 3.3% of children in high jump and 13.3% of children in multi-jump sports respectively.

scholarly journals PENGAJUAN MASALAH BERBANTUAN EDMODO SEBAGAI UPAYA MENINGKATKAN KEAKTIFAN SISWA DI ERA PANDEMI COVID-19

2020 ◽  
Vol 8 (2) ◽  
pp. 60-69
Author(s):  
Ririn Diyannita Sasanti
Keyword(s):  
Data Analysis ◽  
Distance Learning ◽  
Action Research ◽  
Learning Process ◽  
Research Method ◽  
Teaching And Learning ◽  
Long Distance ◽  
Math Problem ◽  
Classroom Action Research

The pandemic era changes all components of life, including the teaching and learning process as well. Changes from conventional learning to distance learning. Writing this article aims to determine the increasing student activeness in mathematics Long Distance Learning Process that is being carried out during this Covid pandemic. This research method is descriptive and observational in classroom action research. The sample was students of SMK Negeri 1 Jetis Mojokerto with 32 students. The data were collected by giving the task of submitting problems assisted by Edmodo. Data analysis was carried out in 2 stages. The first is done by looking at the number of student answers uploaded in Edmodo. The second analysis was carried out by looking at the questions made and the resulting answers. The results of the resulting data analysis showed that as many as 22 students uploaded their math problem submission assignments, meaning that the students were active in PJJ. Students can make the second analysis of 48 questions, and the solution can also be determined properly. The results showed that by using the task of posing problems, students could be more active in the distance learning carried out.

scholarly journals International Cargo Air Transport

2019 ◽  
Vol 83 ◽  
pp. 105-113
Author(s):  
Agnieszka Świszcz
Keyword(s):  
Data Analysis ◽  
21St Century ◽  
Spatial Differentiation ◽  
Air Transport ◽  
Long Distance ◽  
Transport Services ◽  
Cargo Transport ◽  
Global Transport ◽  
The Subject ◽  
Short Time

Air transport is one of the most developing field of the global transport market. Every year there is an increase in the number of transported people and loads. The share of passenger and cargo transport by air in relation to other competitive transport branches is still growing. The biggest advantage of this branch is the possibility of transporting passengers as well as long-distance loads in a relatively short time. One of the service segments of the air transport market is cargo sub-market. Its development is primarily due to the needs of the economy and environmental conditions. The effects of spatial differentiation causing that goods are produced in places where they are not always consumed, contributes to the increase in demand for transport services, including air transport. As a result of the devel-opment of globalization processes on transport markets, changes in the structure of transported goods are observed. In the 21st century, the e-commerce segment plays a significant role. It should be presumed that there will still be changes in the structure of the cargo transport. The main goal of the article will be to analyze the market for air freight transport. Reaching the goal will be carried out secondary research based on available literature on the subject. As a result of the data analysis, it was found that the largest forwarding companies are: DHL Global Forwarding, CEVA Logistic and DB Schenker. The remaining 55% are other forwarding companies.

Microchemical imaging in biomedical research

1992 ◽  
Vol 50 (2) ◽  
pp. 1118-1119
Author(s):  
P. Ingram
Keyword(s):  
Data Analysis ◽  
Electron Probe ◽  
The Other ◽  
X Ray ◽  
Cell Element ◽  
Physiological Information ◽  
Functional States ◽  
Elemental Maps ◽  
Electron Energy Loss ◽  
Secondary Ion

It is well established that unique physiological information can be obtained by rapidly freezing cells in various functional states and analyzing the cell element content and distribution by electron probe x-ray microanalysis. (The other techniques of microanalysis that are amenable to imaging, such as electron energy loss spectroscopy, secondary ion mass spectroscopy, particle induced x-ray emission etc., are not addressed in this tutorial.) However, the usual processes of data acquisition are labor intensive and lengthy, requiring that x-ray counts be collected from individually selected regions of each cell in question and that data analysis be performed subsequent to data collection. A judicious combination of quantitative elemental maps and static raster probes adds not only an additional overall perception of what is occurring during a particular biological manipulation or event, but substantially increases data productivity. Recent advances in microcomputer instrumentation and software have made readily feasible the acquisition and processing of digital quantitative x-ray maps of one to several cells.

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