Biography of ANGEL DI MARIA, ARGENTINIAN football player

Angel Di Maria, who according to Diego Maradona, the legend of Argentine football, is one of the stars of Argentine football and is known as the best passer in the history of the Paris Saint-Germain club. In the final of the 2022 World Cup in Qatar, with his brilliance against France, he had a direct impact on the championship of the Argentine national team. 

AN ABSTRACT OF ANGEL DI MARIA'S BIOGRAPHY

Full name: Ángel Fabián Di María Hernández

Date of birth: February 14, 1988

Place of birth: Rosario, Argentina

Height: 180 cm

Sports field: football 

Position: winger/attacking midfielder

Marriage: He is married and has two daughters. 

 

youth club 

1991-1992: Torito

1992-2005: Rosario Central

Professional clubs

2005-2007: Rosario Central - 35 games - 6 goals

2007-2010: Benfica - 76 games - 7 goals

2010-2014: 124 times - 22 goals

2014-2015: Manchester United - 27 games - 3 goals

2015-2022: Paris Saint-Germain - 197 games - 56 goals

2022 - ... : Juventus - 7 games - 1 goal

National team

2007: under twenty years - 13 games - 3 goals

2008: Under 23 - 6 games - 2 goals

2008 - ...: Senior national team - 129 games - 28 goals

 

BIOGRAPHY OF ANGEL DI MARIA

Ángel Di María (English: Ángel Di María), born on February 14, 1988, is one of the Argentine football stars who plays for the Juventus football club and has a history of playing in the first level European football clubs in his career and is known as the best Passor has recorded the history of the Paris Saint-Germain club. 

 

Since making his international debut in 2008, Di María has been one of the most effective players in Argentina's national team. Since, according to football experts, Di Maria's injury in the previous World Cups before the final game had led to Argentina's failure to win the championship, this time the coach of Argentina did not take risks and Di Maria was on the bench during the 2022 World Cup until the final match. He entered the field as Argentina's winning card from the beginning of the final game and shone very brightly and played a very effective role in the victory of the Argentine national team against France and winning the World Cup.  

 

Angel Di Maria became the star of the Argentina national team by shining in the final of the Qatar 2022 World Cup. He was able to take a penalty for his team in the 2022 World Cup final match against France, which was converted by Lionel Messi, and then Di Maria scored his team's second goal in the first half in a lightning counterattack. 

Angel Di Maria with his wife and daughters on the soccer field

Angel entered the youth team of Rosario Central in 2001 at the age of 13, and after 4 seasons in 2005, he made his debut in the Argentinian league and attracted the attention of several domestic clubs. In 2007, he joined Benfica and played with this team for 3 years and scored the most beautiful goal in the Portuguese league from a distance of 27 meters, and was noticed by prominent European clubs. 

In 2010, he joined Real Madrid with a 6-year contract worth 25 million euros, and after shining in this team, he joined Manchester United in 2014 with a contract worth 65 million euros, and after an unsuccessful season, he left this team and went to Paris. Saint Germain joined. 

ANGEL DE MARIA IN ROSARIO

Di Mario joined Rosario at the age of 4 and made his professional debut on December 14, 2005 against Independiente in the Apertura League final. 

He scored his first goal for Rosario on 24 November 2006, and after playing in the 2007 U20 World Cup in Canada, he joined Boca Juniors in a $6.5 million deal, playing 39 games and scoring 6 goals.

Angel Di Maria in Benfica

In July 2007, the Portuguese club Benfica paid Rosario 6 million euros for 80% of Di Maria's ownership rights and 50% of Andres Diaz's ownership rights, and later paid another 2 million euros for Di Maria's remaining 20%. Di Maria replaced Benfica captain Semao Sabrosa, who had joined Atletico Madrid. 

In October 2009, Di Maria extended his contract for another 3 years. 

Diego Armando Maradona, the legend of Argentine football, called him the future star of his country. 

He played 124 times with Benfica and scored 15 goals.

ANGEL DI MARIA IN REAL MADRID

Di Maria joined Real Madrid on July 7, 2010 with a 5-year contract worth €25 million, and on August 29, he made his La Liga debut and scored his first goal on September 18 against Real Sociedad. In the 2012-2013 season, in the Spanish Super Cup, he scored a vital goal for Real on a mistake by Valdes and won his team's championship. 

 

In this season, Di Maria extended his contract with Real until 2018, and together with this team, he went to the final of the Champions League and became the champion, and in the final game, he was chosen as the best player on the field by UEFA. 

Di Maria played 190 games with Real and scored 36 goals. He was famous for his assists in the Real team. 

ANGEL DI MARIA IN MANCHESTER UNITED

On 26 August 2014, Di Maria joined Manchester United in a five-year deal worth £59.7 million, becoming the fifth most expensive player in history and the first among English clubs. On August 30, he made his debut for Manchester United and scored his first goal in a free kick for his team and became the best player of the month for his club in September and his goal was chosen by the fans as the best goal of the month by Kasper Schmeichel. 

 

Finally, during his time in this team, he was injured and played poor games and sat on the bench, and he was with the Manchester team for only 1 year of his 5-year contract. 

Di Maria played 32 games for Manchester United and scored 4 goals and provided 12 assists. 

DI MARIA IN PARIS SAINT-GERMAIN

On July 25, Di Maria was transferred to Paris Saint-Germain and scored his first goal against Malmö in the Champions League and was recognized as the best passer in the history of the Paris Saint-Germain club. 

 

ANGEL DI MARIA IN THE NATIONAL TEAM OF ARGENTINA

Angel de Maria was invited to the under-20 team in 2007 and appeared in the World Cup and Under-20 Cup. In 2008, he was invited to the Olympics and scored 2 important goals. One goal in the 105th minute of the quarter-final match against the Netherlands and the other single goal in the final against Nigeria. 

 

On September 6, 2008, he made his senior national team debut against Paraguay. 

In the 2014 Brazil World Cup, he was one of the main pillars of the Argentina national team, and in the quarter-finals against Belgium, he was injured and withdrew from the games, and Argentina reached the runner-up position. Many experts believed that Di Maria's absence in the The final caused the defeat of Argentina against Germany. 

 

In 2015, in the Copa Chile, Di Maria missed the final game again, he was injured in the 27th minute of the game, and Argentina finished as runners-up. 

In 2008, together with Messi, he won the Elmik Championship. 

In the 2021 Copa America, he scored the only goal for Argentina in the final and helped Argentina win the championship against Brazil. 

In the 2022 Jani Cup, he led his team to the 2022 World Cup championship by winning a penalty and scoring a goal in the final game. 

HONORS ANGEL DI MARIA

2009-2010: The best player in the Portuguese league

The best passer in the history of Paris Saint-Germain

2008: Beijing Olympic gold medal with Argentina national team

2007: Under-20 world champion with Argentina national team

2021: Copa America champion with Argentina national team

2022: World Cup champion with Argentina national team

2009-2010: Benfica, the Portuguese league champion

2008-2010: 2 times the championship of the Portuguese Cup with the Benfica team

Real Madrid

2010-2011: Copa del Rey championship

2011-2012: La Liga championship

2013-2014: European Champions League Championship

 

Paris Saint-Germain

2015-2020: 4 times Luchampione championship

2015-2021: 5 times the championship of the French Cup

2015-2020: 6 times Capa della League championship

2020: European League runner-up

  

Efficient energy for the Internet of Things

Abstract

The Internet of Things is an intelligent technology that connects everything anywhere and anytime. The nature of the Internet of Things requires that resources be drained of energy. Therefore, energy efficiency from Internet of Things resources is an important issue in the research field. In this paper, an energy-efficient architecture for the Internet of Things is proposed, which consists of three layers, sensing and control, information processing, and presentation. The architectural design allows the system to predict the sleep interval of the sensors based on their remaining battery level, their previous usage history, and the quality of information required for a specific application. The predicted value can be used to increase the utilization of cloud resources by reallocating resources when the corresponding sensor node is in sleep mode. This mechanism is the efficient use of energy in all Internet of Things resources.

Introduction

With the emergence of a new era in computing, the Internet of Things [1] was used as the main structure of pervasive computing [2]. The Internet of Things is an intelligent technology that connects every "thing" through a network. The term "thing" includes sensors, actuators, hardware, software, and storage in fields such as healthcare, industry, transportation, and home appliances. The main goal of the Internet of Things is to maximize the communication of hardware objects with the physical world to transform the data of these objects into useful information without any human assistance. The Internet of Things consists of three elements: hardware, middleware, and presentation. The hardware element consists of sensors embedded in the battery, disk and communication systems. These sensors collect data from the monitoring area and their communication hardware sends the collected data to the middleware element. A significant amount of data received by the middleware is processed using various data analysis tools to extract interpretive information. The presentation element in IoT is responsible for visualizing the processed data and results in a readable form. It also receives the user's requirements and sends them to the middleware element to perform the necessary tasks. Figure 1 shows the elements and data transfer in IoT systems.

The limited energy of hardware elements is consumed while collecting and transmitting data. Most of the collected data is analyzed and carefully extracted information but, at any time, they consume energy. Due to the energy limitation, there is a need to maintain a balance between the quality of extracted information and the energy consumed by Internet of Things systems. In addition, the lifetime of any resource in the Internet of Things depends on the availability of energy. Loss of energy affects the entire environment. Therefore, there is an outstanding need to reduce energy consumption to increase resource lifetime and effective implementation of IoT systems.

past works

In 2013, Gubbi and his colleagues [1] presented a clear vision of the Internet of Things, which was challenged as "efficient energy metering" in one of the researches. They presented a cloud-centric architecture of the Internet of Things and emphasized that it is applicable in various areas including industry, home, medical systems and many other areas. After that, many authors turned to integrated software from Internet of Things and cloud computing in industries such as manufacturing [3], environmental monitoring [4], real-time systems [5], energy saving [6], cloud manufacturing [7]. , [8] and supply chain [9]. Xu and colleagues in [10] presented a survey for the use of IoT in industries. IoT was also used in various other applications such as those mentioned in [11] - [18].

Pa

the shape. 2 shows that PA consists of three layers, Sensing and Control Layer (SCL), Information Processing Layer (IPL) and Application Layer (AL), along with the issues employed by each layer. The SCL collects data from the target environment in an energy-efficient manner and sends it to the IPL. AL uses the information collected by IPL in various areas such as health monitoring, smart city, smart transportation, etc. These three layers are described in more detail below.

SCL

SCL consists of hardware elements of an Internet of Things system. which collects raw data in large volume and sends them for data analysis and analysis. The three main components of this layer are sensor nodes (SNS), energy-efficient gateway nodes (eGNs), and an energy-efficient base station (called an evolved node or eNode). Each of these components is described below.

Theoretical analysis

Before presenting the theoretical analysis of the system, first the method of calculating the energy level of a node is explained. It is observed that the energy consumption of a particular node in the system is inversely proportional to its sleep interval, which in turn depends on various factors including remaining battery level, contention factor, data quality, and COV. The longer the sleep interval, the lower the energy consumption and vice versa. In addition, each node consumes a certain amount of energy in the active state (EA) and in the sleep state (ES). The amount of energy consumed in active and sleep mode depends on the node. Therefore, by calculating the sleep distance and using different factors, the energy level of a node can be determined using the following relationship

Energy consumed = Ts ∗ Es + (T − Ts) ∗ Ea.

Here, Ts is the sum of all sleep intervals and T is the total elapsed time. Hence, (T - TS) represents the total duration for the node in the active state.

Experimental setup and performance analysis

This section discusses the empirical analysis of PA. The test setup is divided into two parts: 1) initialization in SCL and 2) data transfer to the cloud environment.

Initialization in SCL

the shape. 4 shows the experimental setup used to evaluate PA in the university. Here, five university volunteers were attached to three sensors to monitor blood pressure (BP), heart rate (HR) and respiratory rate (RR). These sensors for monitoring blood pressure, heart rate, and RR of these people are: 1) Omron 10 upper arm BP monitor Model BP785 BP785 [45], 2) polar RS 300 × HR monitor [46] and 3) content management system 50F OLED wrist RR monitor [47]. Tables 3 and 4 describe the details of subjects and sensors.

analyze

In this section, we move towards the comparison of PA performance in the following three cases: 1) performance comparison with related techniques; 2) experimental comparison with related technique; and 3) compare PA performance under different system states and configurations. The first two compare PA with some of the energy efficiency methods discussed in the second section. The methods used for comparison are SOT [19], EGF tree [20], ECH tree [21] and in object group localization (OGL) [22]. The third case highlights the suitability of PA in different scenarios.

Performance Comparison

Table 5 shows the comparison of PA performance with other methods. It can be seen that 1) energy efficiency from cloud resources is only considered in PA and 2) SN energy efficiency is a good idea in SOT, ECF, and PA, while EGF and OGL do not act on this issue.

Conclusion

In this paper, an architecture for the Internet of Things is proposed, which ensures energy efficient use of resources. The architecture is tested using medical data on Amazon EC2 i2.xlarge. The results show that energy goes to sleep mode effectively and efficiently by switching the resource storage hardware from SCL and IPL. The key feature of the presented model is energy-based information exchange between two layers. The sensor goes into sleep mode based on its battery power and other factors, such as the quality of the extracted data, contrast factor, and COV. This mechanism prepares the cloud environment to predict the maximum amount of data that can be received during the next time interval. Therefore, PA increases the utilization of hardware resources in SCL and IPL. In summary, TPA is energy efficient. Furthermore, due to the flexible nature of PA, it can be applied to a large number of IoT networks.