Effect of specific directional drills of Kata (Nage Nukata) on the performance level for blind Judo players

In present day scenario the security and authentication is very much needed to make a safety world. Beside all security one vital issue is recognition of number plate from the car for Authorization. In the busy world everything cannot be monitor by a human, so automatic license plate recognition is one of the best application for authorization without involvement of human power. In the proposed method we have make the problem into three fold, firstly extraction of number plate region, secondly segmentation of character and finally Authorization through recognition and classification. For number plate extraction and segmentation we have used morphological based approaches where as for classification we have used Neural Network as classifier. The proposed method is working well in varieties of scenario and the performance level is quiet good.

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Even Pacing Is Associated with Faster Finishing Times in Ultramarathon Distance Trail Running—The “Ultra-Trail du Mont Blanc” 2008–2019

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17197074 ◽

2020 ◽

Vol 17 (19) ◽

pp. 7074 ◽

Cited By ~ 1

Author(s):

Daniel Suter ◽

Caio Victor Sousa ◽

Lee Hill ◽

Volker Scheer ◽

Pantelis Theo Nikolaidis ◽

...

Keyword(s):

General Linear Model ◽

Performance Level ◽

Age Group ◽

Younger Age ◽

Pacing Strategies ◽

And Performance ◽

Group Sex ◽

The Impact ◽

Trail Running ◽

One Way Anova

In recent years, there has been an increasing number of investigations analyzing the effects of sex, performance level, and age on pacing in various running disciplines. However, little is known about the impact of those factors on pacing strategies in ultramarathon trail running. This study investigated the effects of age, sex, and performance level on pacing in the UTMB® (Ultra-trail du Mont Blanc) and aimed to verify previous findings obtained in the research on other running disciplines and other ultramarathon races. Data from the UTMB® from 2008 to 2019 for 13,829 race results (12,681 men and 1148 women) were analyzed. A general linear model (two-way analysis of variance (ANOVA)) was applied to identify a sex, age group, and interaction effect in pace average and pace variation. A univariate model (one-way ANOVA) was used to identify a sex effect for age, pace average, and pace variation for the fastest men and women. In our study, pace average and a steadier pace were positively correlated. Even pacing throughout the UTMB® correlated with faster finishing times. The average pace depended significantly on sex and age group. When considering the top five athletes in each age group, sex and age group also had significant effects on pace variation. The fastest women were older than the fastest men, and the fastest men were faster than the fastest women. Women had a higher pace variation than men. In male competitors, younger age may be advantageous for a successful finish of the UTMB®. Faster male runners seemed to be younger in ultramarathon trail running with large changes in altitude when compared to other distances and terrains.

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Transformer-based artificial neural networks for the conversion between chemical notations

Scientific Reports ◽

10.1038/s41598-021-94082-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Lev Krasnov ◽

Ivan Khokhlov ◽

Maxim V. Fedorov ◽

Sergey Sosnin

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Rapid Development ◽

Performance Level ◽

Rule Based ◽

Development Costs ◽

Overall Performance ◽

Artificial Neural

AbstractWe developed a Transformer-based artificial neural approach to translate between SMILES and IUPAC chemical notations: Struct2IUPAC and IUPAC2Struct. The overall performance level of our model is comparable to the rule-based solutions. We proved that the accuracy and speed of computations as well as the robustness of the model allow to use it in production. Our showcase demonstrates that a neural-based solution can facilitate rapid development keeping the required level of accuracy. We believe that our findings will inspire other developers to reduce development costs by replacing complex rule-based solutions with neural-based ones.

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Pacing in Time-Limited Ultramarathons from 6 to 24 Hours—The Aspects of Age, Sex and Performance Level

Sustainability ◽

10.3390/su13052705 ◽

2021 ◽

Vol 13 (5) ◽

pp. 2705

Author(s):

Hagen Deusch ◽

Pantelis T. Nikolaidis ◽

José Ramón Alvero-Cruz ◽

Thomas Rosemann ◽

Beat Knechtle

Keyword(s):

Analysis Of Variance ◽

Coefficient Of Variation ◽

Training Programs ◽

Performance Level ◽

Running Speed ◽

And Performance ◽

Main Effects ◽

And Training ◽

Age And Sex

(1) Background: Compared with marathon races, pacing in time-limited ultramarathons has only been poorly discussed in the literature. The aim of the present study was to analyze the interaction of performance level, age and sex with pacing during 6 h, 12 h or 24 h time-limited ultramarathons. (2) Methods: Participants (n = 937, age 48.62 ± 11.80 years) were the finishers in 6 h (n = 40, 17 women and 23 men), 12 h (n = 232, 77 women and 155 men) and 24 h (n = 665, 166 women and 409 men) ultramarathons. The coefficient of variation (CV), calculated as SD/mean, was used to described pacing. Low scores of CV denoted a more even pacing, and vice versa. A two-way analysis of variance examined the main effects and interactions of sex and race duration on age, race speed and pacing. (3) Results: More men participated in the longer race distances than in the shorter ones and men were older and faster than women. Comparing the 6 h, 12 h and 24 h races, the finishers in the 6 h were the fastest, the finishers in the 12 h were the oldest and the finishers in the 24 h showed the most variable pacing. Furthermore, the faster running speed in the 12 h (women, r = −0.64; men, r = −0.49, p < 0.001) and the 24 h (r = −0.47 in women and men, p < 0.001) was related to less variable pacing. (4) Conclusions: These data might help runners and coaches to choose the the proper duration of a race and training programs for their athletes.

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Game variables that predict success and performance level in elite men’s volleyball

International Journal of Performance Analysis in Sport ◽

10.1080/24748668.2021.1945879 ◽

2021 ◽

pp. 1-13

Author(s):

Sotirios Drikos ◽

Karolina Barzouka ◽

Maria-Elissavet Nikolaidou ◽

Konstantinos Sotiropoulos

Keyword(s):

Performance Level ◽

And Performance

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