Academic literature on the topic 'Ball passes network'
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Journal articles on the topic "Ball passes network"
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Browne, P., S. Morgan, J. Bahnisch, and S. Robertson. "Discovering patterns of play in netball with network motifs and association rules." International Journal of Computer Science in Sport 18, no. 1 (July 1, 2019): 64–79. http://dx.doi.org/10.2478/ijcss-2019-0004.
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Abstract In netball, analysis of the movement of players and the ball across different court locations can provide information about trends otherwise hidden. This study aimed to develop a method to discover latent passing patterns in women’s netball. Data for both pass location and playing position were collected from centre passes during selected games in the 2016 Trans-Tasman Netball Championship season and 2017 Australian National Netball League. A motif analysis was used to characterise passing-sequence observations. This revealed that the most frequent, sequential passing style from a centre pass was the “ABCD” motif in an alphabetical system, or in a positional system “Centre–Goal Attack–Wing Attack–Goal Shooter” and rarely was the ball passed back to the player it was received from. An association rule mining was used to identify frequent ball movement sequences from a centre pass play. The most confident rule flowed down the right-hand side of the court, however seven of the ten most confident rules demonstrated a preference for ball movement down the left-hand side of the court. These results can offer objective insight into passing sequences, and potentially inform team strategy and tactics. This method can also be generalised to other invasion sports.
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Fernández, Javier, Luke Bornn, and Daniel Cervone. "A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions." Machine Learning 110, no. 6 (May 24, 2021): 1389–427. http://dx.doi.org/10.1007/s10994-021-05989-6.
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AbstractThe expected possession value (EPV) of a soccer possession represents the likelihood of a team scoring or conceding the next goal at any time instance. In this work, we develop a comprehensive analysis framework for the EPV, providing soccer practitioners with the ability to evaluate the impact of observed and potential actions, both visually and analytically. The EPV expression is decomposed into a series of subcomponents that model the influence of passes, ball drives and shot actions on the expected outcome of a possession. We show we can learn from spatiotemporal tracking data and obtain calibrated models for all the components of the EPV. For the components related with passes, we produce visually-interpretable probability surfaces from a series of deep neural network architectures built on top of flexible representations of game states. Additionally, we present a series of novel practical applications providing coaches with an enriched interpretation of specific game situations. This is, to our knowledge, the first EPV approach in soccer that uses this decomposition and incorporates the dynamics of the 22 players and the ball through tracking data.
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J.T, Fakoya, Olarinde M.O., and Adeola A.A. "Evaluating Player Interaction and Performance using Network Analysis." International Journal of Computer Science and Mobile Computing 11, no. 9 (September 30, 2022): 1–10. http://dx.doi.org/10.47760/ijcsmc.2022.v11i09.001.
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In professional sports, a team's biggest concern is winning a game every time they step on the pitch. All teams aspire to give their best effort during a game, and doing so necessitates taking into account players interaction with their teammates during playing time. Therefore, determining each players interaction and evaluating their performance plays an important role in basketball. The study reviewed and evaluated players interaction for the 2017/2018 NBA season. Though there are known techniques for analysis and player performance evaluation which have been developed overtime, several other techniques have been proposed. However, in order to better manage the game and positioning of players, network analysis a better way to understand players preference in passing the ball to other players. The study used Network analysis to assess and analyze basketball players interaction and general performance. Statistics for every player for 2017/2018 season were gathered by scraping data from Basketball-Reference and used custom R scripts to gather box score data from basketball reference. Precisely there were 30 teams and had initially 23 variables related to their performance with attributes such as fields goals made, field goals made, points scored with field goals, points scored and so on. Network nodes for each players assist performance was highlighted. Network diagram were then generated for different teams such as Milwaukee Bucks, Cleveland which shown the consistency of passes for each player and interaction.
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Anzer, Gabriel, and Pascal Bauer. "Expected passes." Data Mining and Knowledge Discovery 36, no. 1 (January 2022): 295–317. http://dx.doi.org/10.1007/s10618-021-00810-3.
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AbstractPasses are by far football’s (soccer) most frequent event, yet surprisingly little meaningful research has been devoted to quantify them. With the increase in availability of so-called positional data, describing the positioning of players and ball at every moment of the game, our work aims to determine the difficulty of every pass by calculating its success probability based on its surrounding circumstances. As most experts will agree, not all passes are of equal difficulty, however, most traditional metrics count them as such. With our work we can quantify how well players can execute passes, assess their risk profile, and even compute completion probabilities for hypothetical passes by combining physical and machine learning models. Our model uses the first 0.4 seconds of a ball trajectory and the movement vectors of all players to predict the intended target of a pass with an accuracy of $$93.0\%$$ 93.0 % for successful and $$72.0\%$$ 72.0 % for unsuccessful passes much higher than any previously published work. Our extreme gradient boosting model can then quantify the likelihood of a successful pass completion towards the identified target with an area under the curve (AUC) of $$93.4\%$$ 93.4 % . Finally, we discuss several potential applications, like player scouting or evaluating pass decisions.
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El-Eskandarany, M. Sherif, Naser Ali, Mohammad Banyan, and Fahad Al-Ajmi. "Cold Gas-Dynamic Spray for Catalyzation of Plastically Deformed Mg-Strips with Ni Powder." Nanomaterials 11, no. 5 (April 29, 2021): 1169. http://dx.doi.org/10.3390/nano11051169.
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Magnesium hydride (MgH2) has received significant attention due to its potential applications as solid-state hydrogen storage media for useful fuel cell applications. Even though MgH2 possesses several attractive hydrogen storage properties, it cannot be utilized in fuel cell applications due to its high thermal stability and poor hydrogen uptake/release kinetics. High-energy ball milling, and mechanically-induced cold-rolling processes are the most common techniques to introduce severe plastic deformation and lattice imperfection in the Mg/MgH2. Furthermore, using one or more catalytic agents is considered a practical solution to improve both the de-/rehydrogenation process of MgH2.These treatments are usually dedicated to enhance its hydrogen storage properties and deduce its thermal stability. However, catalyzation of Mg/MgH2 powders with a desired catalytic agent using ball milling process has shown some disadvantages due to the uncontrolled distribution of the agent particles in the MgH2 powder matrix. The present study has been undertaken to employ a cold gas-dynamic spray process for catalyzing the fresh surfaces of mechanically-induced cold-rolled Mg ribbons with Ni powder particles. The starting Mg-rods were firstly heat treated and forged 200 times before cold rolling for 300 passes. The as-treated ribbons were then catalyzed by Ni particles, using cold gas-dynamic spray process. In this catalyzation approach, the Ni particles were carried by a stream of Ar gas via a high-velocity jet at a supersonic velocity. Accordingly, the pelted Ni particles penetrated the Mg-substrate ribbons, and hence created numerous micropores into the Mg, allowed the Ni particles to form a homogeneous network of catalytic active sites in Mg substrate. As the number of coating time increased to three times, the Ni concentration increased (5.28 wt.%), and this led to significant enhancement of the Mg-hydrogen storage capacity, as well as improving the de-/rehydrogenation kinetics. This is evidenced by the high value of hydrogen storage capacity (6.1 wt.% hydrogen) and the fast gas uptake kinetics (5.1 min) under moderate pressure (10 bar) and temperature (200 °C). The fabricated nanocomposite MgH2/5.28 wt.% Ni strips have shown good dehydrogenation behavior, indicated by their capability to desorb 6.1 wt.% of hydrogen gas within 11 min at 200 °C under 200 mbar of hydrogen pressure. Moreover, this system possessed long cycle-life-time, which extended to 350 h with a minimal degradation in the storage and kinetics behavior.
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Liu, Wei, Zhen Liu, and Zhenjia Huang. "Artificial Intelligence Technology to Record the Number of Times the Ball Passes the Net in Tennis Matches." Wireless Communications and Mobile Computing 2022 (September 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/7522725.
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Tennis competition is one of sports events. The vigorous development of sports can promote people’s pursuit of sports spirit and promote social unity and stability. However, in the course of social modernization development, sports events also need to follow closely, and we can no longer rely on traditional tools to support the development of events, which is not conducive to the positive development of sports. Due to the problem that the number of times the ball crosses the net in the traditional tennis game is too backward and the error rate is high, this paper uses artificial intelligence technology to record the number of times the ball crosses the net in tennis games and introduces the Center Net target based on the diagnostic criteria and comprehensive evaluation of tennis nets. Detect and track tennis balls by target recognition, feature extraction, and other methods, and record the times of net passing. However, considering that abnormal behaviors will also occur in the process of tennis passing through the net, the density-based DBSCAN clustering algorithm is used to discriminate and record abnormal behaviors in tennis matches. In order to verify the detection performance of DBSCAN clustering algorithm and Center Net target detection, the video of tennis match was analyzed and compared by drone from the perspective of time and space. By recording the number of times the ball crosses the net during the tennis receiving, connecting and attacking, and stalemate phases, the performance of the two recording times is compared. R 2 are all higher than 0.94, and R values are 0.982 and 0.963, respectively, so the recall rate of DBSCAN clustering algorithm is 0.02 higher, which is better than Center Net target detection. Using artificial intelligence technology to record the number of times the ball crosses the net in tennis games can not only improve the scientificity and accuracy of the record but also promote the development of the sports industry.
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Panji Palguna, I. Gusti Agung Ngurah, and I. Made Widiartha. "Prediction Of The Number Of Tourists To Visit Bali Province Using Backpropagation Artificial Neural Network (Case Study: Data 1990-2016)." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 3 (January 25, 2020): 243. http://dx.doi.org/10.24843/jlk.2020.v08.i03.p05.
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Bali Island is the most popular tourist destination in Indonesia. The total number of foreign tourists visiting Indonesia through the entrance of Ngurah Rai Airport reached 40% as of October 2016, with the value of Bali's foreign exchange receipts for Indonesia from the tourism sector amounting to 70 Trillion Rupiah. Minister of Tourism (Menpar) Arief Yahya always uses the password "Bali" in promoting destinations throughout the world. Because in tourism, Bali is a gate that is passed by 40 percent of foreign tourists (tourists) to Indonesia. In support of more accurate decision making, the author makes a system of forecasting numbers of foreign tourists visiting Bali Province by taking a sample of Japan. Factors that are used as input to make predictions include the number of tourists visiting before, the population of the country of origin of foreign tourists, Gross Domestic Product, and the Relative Consumer Price Index of the countries of origin of foreign tourists. In this research, optimization of the activation function, hidden neuron, and learning rate parameters is performed. Forecasting results using the backpropagation method produce a pretty good accuracy with an accuracy of Mean Square Error = 0.0050558, and test data accuracy of MSE = 0.031695. ANN architecture in the training process is then used to calculate predictions of visits by foreign tourists in the testing process
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Muliarta, I. Nengah, I. Wayan Suanda, and Ni Luh Suriani. "Local Wisdom of Balinese People Managing Water in Tirta (Holy Water) Concept." AJARCDE | Asian Journal of Applied Research for Community Development and Empowerment 5, no. 3 (October 16, 2021): 28–31. http://dx.doi.org/10.29165/ajarcde.v5i3.76.
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Water is a source of life on the surface of the earth because it becomes a necessity for every organism. The need for water continues to increase, but the availability of clean water continues to decrease. Efforts to preserve important water sources are made to meet current and future water needs. Hindus in Bali have long practiced water resources conservation and managing water quality through various forms of local wisdom. Local wisdom is passed down through generations of routine activities in daily life. Water as a gift because it gives life is placed as a holy one which is then referred to as holy water or tirta. The use of tirta in various ceremonial activities causes Hinduism in Bali to be often identified with tirta religion. For Balinese people, water is a symbol of Vishnu which is a manifestation of God as the preserver of world life. Positioning water as a sacred thing has the meaning of obligation to maintain the quality and quantity of water to be maintained. Positioning the water source as a sacred area is also a form of effort to protect the springs to avoid pollution. The ceremony of mendak tirta and mendak toya became a form of local wisdom on the procedures of water use and efficient use of water. The concept of nyegara-Gunung (sea-mountain) is one of the proofs that Balinese Hindus commit to maintaining the hydrological cycle, so that life is maintained.
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Tarayana, Andhara Ersa. "SKKL PERFORMANCE ANALYSIS OF SUBMARINE CABLE COMMUNICATION SYSTEM (SKKL) EDFA - SOA AMPLIFIER LINK JAVA – BALI USING OPTISYSTEM." Journal of Telecommunication, Electronics, and Control Engineering (JTECE) 3, no. 1 (July 17, 2021): 48–53. http://dx.doi.org/10.20895/jtece.v3i1.148.
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The Submarine Cable Communication System (SKKL) is a communication backbone that is deployed under the sea that used to connect networks between islands and between countries. DWDM (Dense Wavelength Division Multiplexing) technology can support long distance communication. Repeater used to reduce the impact of loss, on the detector side the signal can be detected properly. EDFA (Erbium Doped Fiber Amplifier) and Semiconductor Optical Amplifier (SOA) amplifiers can minimize the impact of loss and increasing the gain of each amplifier. The EDFA (Erbium Doped Fiber Amplifier) is an optical amplifier that can work at a wavelength of 1550 nm which provides amplification for the input signal that passes through it which is doped with the element erbium (Er). SOA amplifier is an optical amplifier that utilizes cavity or room cavity to strengthen light. By using branching unit configuration and repeaterless, repeatered, and parallel in-line amplifier configuration and optical system software 7.0 with system reliability parameters such as Q-factor, Bit Error Rate, Power Receiver, and Signal to Noise Ratio with power variations (0 dBm, 2 dBm, 4 dBm, 6 dBm, 8 dBm) at a frequency of 100 GHz for 10 channels. The best result on the Q-Factor parameter is 15,928, the BER parameter is 5.87 x 10-057, the receiver power parameter is -10,319 dBm, and the SNR is 42,713 dB. In this research the best value obtained in the Parallel in-line configuration. So as the best average is in the Repeatered EDFA configuration.
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de Jong, Laura M. S., Paul B. Gastin, Lyndell Bruce, and Dan B. Dwyer. "Teamwork and performance in professional women's football: A network-based analysis." International Journal of Sports Science & Coaching, April 11, 2022, 174795412210923. http://dx.doi.org/10.1177/17479541221092355.
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Analysis of the underlying tactics and teamwork in women's football is rare and it is unknown how professional women's teams cooperate to be successful. The aim of this study was to investigate teamwork using network analysis while comparing match-outcome, match-type, ladder halves and tournament phases, to determine whether teamwork is related to success. Ball transfer data in 694 matches from the 2015, 2016 and 2017/18 Football Association Women's Super League (FA WSL) seasons; 2016–2018 National Women's Football League (NWSL) seasons; 2013 and 2017 European Cups; and 2011 and 2013 World Cups were analysed. The network metrics: edge density, transitivity, mean distance, out degree centrality, closeness centrality, betweenness centrality and eigenvector centrality were calculated. Success was categorised in match outcomes, ladder halves, tournament phases and ladder positions. It was found that successful professional women's football teams are highly connected (p = 0.006), and the distribution of ball possession is centralised (p = 0.001). There is a tendency for key players to send out a high number of passes, but there is no dependency on these key players for the total ball flow within a team, which is a characteristic that may be unique to women's football. Differences in teamwork exist between single matches and full seasons or tournaments, with successful teams having more effective ball movement and successful passes over the course of a season or tournament (p < 0.001). Moreover, successful league teams have more players with connecting roles than tournament teams and match tactics should be adapted to this.