scholarly journals Football player dominant region determined by a novel model based on instantaneous kinematics variables

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fabio Giuliano Caetano ◽  
Sylvio Barbon Junior ◽  
Ricardo da Silva Torres ◽  
Sergio Augusto Cunha ◽  
Paulo Régis Caron Ruffino ◽  
...  
Keyword(s):  
Tracking System ◽  
Time Lag ◽  
Football Player ◽  
Football Players ◽  
Movement Model ◽  
Proposed Model ◽  
Movement Models ◽  
Free Spaces ◽  
System Movement ◽  
Novel Model

AbstractDominant regions are defined as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ dominant regions analysis, based on movement models created from players’ positions, displacement, velocity, and acceleration vectors. 109 Brazilian male professional football players were analysed during official matches, computing over 15 million positional data obtained by video-based tracking system. Movement models were created based on players’ instantaneous vectorial kinematics variables, then probabilities models and dominant regions were determined. Accuracy in determining dominant regions by the proposed model was tested for different time-lag windows. We calculated the areas of dominant, free-spaces, and Voronoi regions. Mean correct predictions of dominant region were 96.56%, 88.64%, and 72.31% for one, two, and three seconds, respectively. Dominant regions areas were lower than the ones computed by Voronoi, with median values of 73 and 171 m2, respectively. A median value of 5537 m2 was presented for free-space regions, representing a large part of the pitch. The proposed movement model proved to be more realistic, representing the match dynamics and can be a useful method to evaluate the players’ tactical behaviours during matches.

scholarly journals Influence of Players’ Maximum Running Speed on the Team’s Ranking Position at the End of the Spanish LaLiga

2020 ◽  
Vol 17 (23) ◽  
pp. 8815
Author(s):  
Juan Del Coso ◽  
Diego Brito de Souza ◽  
Víctor Moreno-Perez ◽  
Javier M. Buldú ◽  
Fabio Nevado ◽  
...  
Keyword(s):  
Tracking System ◽  
Football Player ◽  
Maximum Speed ◽  
Football Players ◽  
Running Speed ◽  
Match Play ◽  
Peak Maximum ◽  
Data Points ◽  
National League ◽  
Ranking Position

The maximum running speed that a football player can attain during match play has become one of the most popular variables to assess a player’s physical talent. However, the influence of a player’s maximum running speed on football performance has not yet been properly investigated. The aim of this study was to determine the influence of a player’s peak/maximum running speed on the team’s ranking position at the end of a national league. A second aim was to investigate differences in maximum running speed among playing positions. To fulfil this aim, the peak/maximum running speeds of 475 male professional football players were recorded for 38 fixtures of the Spanish first-division league (LaLiga) from the 2017–2018 season (7838 data points). Players’ peak running speeds in each match were assessed with a validated multicamera tracking system and associated software (Mediacoach®). Players’ maximum running speed was established as the fastest running speed they attained during the entire season. Most players (53.5% of the total) had a maximum running speed in the range of 32.0–33.9 km/h, with only three players (0.6%) with a maximum running speed of over 35.0 km/h. Overall, forwards were faster than defenders and both types of players were faster than midfielders (33.03 ± 1.35 > 32.72 ± 1.32 > 32.08 ± 1.63 km/h; p < 0.001). There was no association between teams’ maximum running speed and ranking position at the end of the league (r = −0.356, p = 0.135). The correlations between teams’ maximum speeds and ranking position were low for defenders (r = −0.334, p = 0.163), midfielders (r = 0.125, p = 0.610), and forwards (r = −0.065, p = 0.791). As a result, the variance in the ranking position at the end of the season explained by a team’s maximum speed was of only 7.5%. Finally, as an average for all teams, players’ peak running speeds remained stable at ~30.7 ± 0.6 km/h throughout the whole season. These results suggest that successful and less successful football teams have squads with players able to obtain similar maximum running speeds during match play throughout the season. Hence, players’ maximum running speeds have a poor association with the team’s ranking position at the end of the Spanish professional national league.

scholarly journals npTrack: A n-Position Single Axis Solar Tracker Model for Optimized Energy Collection

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 925
Author(s):  
Manoel Henriques de Sá Campos ◽  
Chigueru Tiba
Keyword(s):  
Solar Energy ◽  
Tracking System ◽  
Tracking Error ◽  
Annual Average ◽  
Mechanical Parts ◽  
Solar Tracking ◽  
Proposed Model ◽  
Angle Deviation ◽  
Solar Tracker ◽  
Novel Model

The single axis solar tracker based on flat panels is used in large solar plants and in distribution-level photovoltaic systems. In order to achieve this, the solar tracking systems generally need to work by tracking the sun’s position with dozens, maybe hundreds of movements along the day with a maximal known tracking error within the specifications. A novel model is proposed along this work based on the control of the angle deviation within a (polar) single axis configuration. This way an optimization of the harnessing of solar energy can be achieved with as few panel displacements as possible in order to decrease the wear in the mechanical parts of the equipment and the energy consumed by it. This tracking approach was implemented with as few as seven positions along the day and got an estimated theoretical value of 99.27% of the total collected energy in a continuous tracking system. Regarding an annual average basis, it would be about 96.5% of a dual axis system according to the proposed model. The novelty of the model is related to a tradeoff between the gain with the simplicity of a single axis n-position tracking and the solar energy loss associated.

scholarly journals A dynamic model for series and parallel resistance of photovoltaic cell using material properties extraction and energy tunnel

2017 ◽  
Vol 16 (1) ◽  
pp. 9-21
Author(s):  
Kotchapong Sumanonta ◽  
Pasist Suwanapingkarl ◽  
Pisit Liutanakul
Keyword(s):  
Series Resistance ◽  
Photovoltaic Cell ◽  
Photovoltaic Module ◽  
Practical Application ◽  
Pv Module ◽  
Proposed Model ◽  
Outdoor Test ◽  
The Relationship ◽  
Parallel Resistance ◽  
Novel Model

This article presents a novel model for the equivalent circuit of a photovoltaic module. This circuit consists of the following important parameters: a single diode, series resistance (Rs) and parallel resistance (Rp) that can be directly adjusted according to ambient temperature and the irradiance. The single diode in the circuit is directly related to the ideality factor (m), which represents the relationship between the materials and significant structures of PV module such as mono crystalline, multi crystalline and thin film technology.  Especially, the proposed model in this article is to present the simplified model that can calculate the results of I-V curves faster and more accurate than other methods of the previous models. This can show that the proposed models are more suitable for the practical application. In addition, the results of the proposed model are validated by the datasheet, the practical data in the laboratory (indoor test) and the onsite data (outdoor test). This ensures that the less than 0.1% absolute errors of the model can be accepted.

scholarly journals A recommendations model with multiaspect awareness and hierarchical user-product attention mechanisms

2020 ◽  
Vol 17 (3) ◽  
pp. 849-865
Author(s):  
Zhongqin Bi ◽  
Shuming Dou ◽  
Zhe Liu ◽  
Yongbin Li
Keyword(s):  
State Of The Art ◽  
Weight Vector ◽  
User Preferences ◽  
The Other ◽  
Attention Networks ◽  
Proposed Model ◽  
Network Methods ◽  
Public Datasets ◽  
Novel Model ◽  
Attention Weight

Neural network methods have been trained to satisfactorily learn user/product representations from textual reviews. A representation can be considered as a multiaspect attention weight vector. However, in several existing methods, it is assumed that the user representation remains unchanged even when the user interacts with products having diverse characteristics, which leads to inaccurate recommendations. To overcome this limitation, this paper proposes a novel model to capture the varying attention of a user for different products by using a multilayer attention framework. First, two individual hierarchical attention networks are used to encode the users and products to learn the user preferences and product characteristics from review texts. Then, we design an attention network to reflect the adaptive change in the user preferences for each aspect of the targeted product in terms of the rating and review. The results of experiments performed on three public datasets demonstrate that the proposed model notably outperforms the other state-of-the-art baselines, thereby validating the effectiveness of the proposed approach.

scholarly journals An SEIR Model for Assessment of Current COVID-19 Pandemic Situation in the UK

2020 ◽  
Author(s):  
Peiliang Sun ◽  
Kang Li
Keyword(s):  
Seasonal Influenza ◽  
Time Lag ◽  
Seir Model ◽  
Infected People ◽  
Proposed Model ◽  
Lag Effect ◽  
Novel Coronavirus ◽  
The Uk ◽  
Specific Symptoms ◽  
Limited Testing

AbstractThe ongoing COVID-19 pandemic spread to the UK in early 2020 with the first few cases being identified in late January. A rapid increase in confirmed cases started in March, and the number of infected people is however unknown, largely due to the rather limited testing scale. A number of reports published so far reveal that the COVID-19 has long incubation period, high fatality ratio and non-specific symptoms, making this novel coronavirus far different from common seasonal influenza. In this note, we present a modified SEIR model which takes into account the time lag effect and probability distribution of model states. Based on the proposed model, it is estimated that the actual total number of infected people by 1 April in the UK might have already exceeded 610,000. Average fatality rates under different assumptions at the beginning of April 2020 are also estimated. Our model also reveals that the R0 value is between 7.5–9 which is much larger than most of the previously reported values. The proposed model has a potential to be used for assessing future epidemic situations under different intervention strategies.

scholarly journals Gated Recurrent Unit Networks and Discrete Wavelet Transforms Applied to Forecasting and Trading in the Stock Market

2020 ◽  
Author(s):  
Victor Biazon ◽  
Reinaldo Bianchi
Keyword(s):  
Stock Market ◽  
Wavelet Transforms ◽  
Stock Price ◽  
Discrete Wavelet ◽  
Discrete Wavelet Transforms ◽  
Time Step ◽  
Proposed Model ◽  
Gated Recurrent Unit ◽  
Novel Model ◽  
Unit Network

Trading in the stock market always comes with the challenge of deciding the best action to take on each time step. The problem is intensified by the theory that it is not possible to predict stock market time series as all information related to the stock price is already contained in it. In this work we propose a novel model called Discrete Wavelet Transform Gated Recurrent Unit Network (DWT-GRU). The model learns from the data to choose between buying, holding and selling, and when to execute them. The proposed model was compared to other recurrent neural networks, with and without wavelets preprocessing, and the buy and hold strategy. The results shown that the DWT-GRU outperformed all the set baselines in the analysed stocks of the Brazilian stock market.

Analisis Image Comment To Video Comment Rasio Instagram Pada 5 Pemain Sepak Bola Termahal Di Dunia

2021 ◽  
Author(s):  
Farah hafilda
Keyword(s):  
Social Media ◽  
Total Population ◽  
Football Player ◽  
Soccer Players ◽  
Football Players ◽  
A Value ◽  
Good Account ◽  
The World ◽  
A Company ◽  
Windows Phone

Instagram is a social media application based on android for smartphones, Ios for ipPhone, Blackbarry, Windows Phone and now it can also be run on a computer or pc. Instagram also provides various interesting features such as filters, instagram stories, IGTV and other network features. Instagram was founded by a company called Burbn inc. And led in 2010 by two CEOs Mike Krieger and Kevin Systrom but on April 9, 2012 Instagram has been taken over by Facebook with a value of around $1M. Instagram users in Indonesia are 86.6% of the total population. The increasing number of active Instagram users in Indonesia who use Instagram as a marketing platform. There are 5 football players in the world who use Instagram as a marketing platform, namely: Neymar, Kylian Mbappe, Philippe Coutinho, Ousmane Dambelle, Paul Pogpa. The purpose of this study is to calculate the credibility of the Instagram account performance of the 5 most expensive soccer players in the world. The method used for this research is quantitative exploratory method. The results of this study indicate that football player Kylian Mbappe gets first place and has good account performance credibility.

scholarly journals Single-Diode Models of PV Modules: A Comparison of Conventional Approaches and Proposal of a Novel Model

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1296 ◽  
Author(s):  
Tuyen Nguyen-Duc ◽  
Huy Nguyen-Duc ◽  
Thinh Le-Viet ◽  
Hirotaka Takano
Keyword(s):  
Renewable Energy ◽  
New Method ◽  
National Renewable Energy Laboratory ◽  
Matlab Code ◽  
Proposed Model ◽  
Pv Modules ◽  
Consistent Performance ◽  
Novel Model

In this paper, the seven traditional models of photovoltaic (PV) modules are reviewed comprehensively to find out the appropriate model for reliability. All the models are validated using the Matlab code and graphical comparisons between models are made. The accuracy and convergence of each model is evaluated using the data of manufactured PV panels. Then, a novel model is proposed showing its consistent performance. The three most key parameters of the single-diode model are self-revised to adapt to various types of PV modules. This new method is verified in three types of PV panels’ data measured by the National Renewable Energy Laboratory (NREL), USA. The validated data show promising results when the error RMSEs’ range of the proposed model is under 0.36.

scholarly journals Actionable threat intelligence for digital forensics readiness

2019 ◽  
Vol 27 (2) ◽  
pp. 273-291 ◽  
Author(s):  
Nikolaos Serketzis ◽  
Vasilios Katos ◽  
Christos Ilioudis ◽  
Dimitrios Baltatzis ◽  
George J. Pangalos
Keyword(s):  
Digital Forensics ◽  
Quantitative Methodology ◽  
Content Type ◽  
Proposed Model ◽  
Threat Intelligence ◽  
Cyber Threat ◽  
Cyber Threat Intelligence ◽  
Security Incidents ◽  
Novel Model ◽  
Forensic Value

PurposeThe purpose of this paper is to formulate a novel model for enhancing the effectiveness of existing digital forensic readiness (DFR) schemes by leveraging the capabilities of cyber threat information sharing.Design/methodology/approachThis paper uses a quantitative methodology to identify the most popular cyber threat intelligence (CTI) elements and introduces a lightweight approach to correlate those with potential forensic value, resulting in the quick and accurate triaging and identification of patterns of malicious activities.FindingsWhile threat intelligence exchange steadily becomes a common practice for the prevention or detection of security incidents, the proposed approach highlights its usefulness for the digital forensics (DF) domain.Originality/valueThe proposed model can help organizations to improve their DFR posture, and thus minimize the time and cost of cybercrime incidents.

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