2021上海龙凤后花园

After the end of the two-round series, AC Milan failed to go any further, but fell at the feet of its sworn enemy in the same city. As the defending champion, Milan’s performance has been stumbling this season. Although the Champions League has reached the semi-finals, the league competition for the fourth place is in jeopardy. A series of wrong operations last summer laid the foundation for this chaotic season. How to restart the Rossoneri revival requires Milan to think and choose together.

[The four-game losing streak has made the Milan summer window even more inefficient]

Even after 16 years in the semi-finals, Milan’s Champions League journey this season is quite bitter and embarrassing. In two rounds, I suffered a double kill from my rival Inter Milan in the same city. Counting the Super Cup and the second round of the league, I was defeated by my opponent four times in a row, losing 7 goals but not scoring 1 goal. No matter what ranking Milan will end up in this season, it is a fact that Milan’s four-game losing streak in the derby is absolutely zero, which makes the team miserable both inside and outside.

Losing the Champions League to a deadly enemy and competing for the fourth place is in jeopardy. For a defending champion, this is definitely an unacceptable result. Coach Pioli has almost overdrawn his prestige in this stumbling season. Although he helped Milan to return to the Champions League and win a Serie A championship, the successive fiasco in January has made him "stand in prison" in the hearts of many fans, and the four-game losing streak in the Derby is even more "solid".

The total score of 0-3 is not good-looking, and Pioli’s use of troops is also debatable. But in the last two weeks, Milan has already run out of ammunition and food. In the first round, Leo was injured and the midfielder Ben Nasser was damaged; In the second round, defender Jiafu went off halfway, and Kalulu, who came off the bench, made a big mistake carelessly. The rest of the players are almost drained by the long season, and Gill, Special Olympics and krunic have all shown fatigue; Mesias and Tonali struggled hard, but they were powerless.

The bigger gap between the two sides actually lies in the rotation of the lineup. On the starting Milan may be equal to Inter Milan, but in the long-distance running of the season, Milan’s replacement lineup seems to be weak. Last summer, five players, such as Decatur, Origgi, Adelie, Dester and Franks, who were introduced and returned, failed to meet expectations and were not even included in the Champions League registration list. Only German defender Jiafu and youth training teenager Pobega showed certain value.

From the appearance lineup in the Champions League stage, we can also see Milan’s inefficiency last summer-Decatur, who invested heavily, only played in the first leg against Tottenham in the knockout stage; The only new aid with a starting record in the knockout round is Zhongwei Jiafu; In the two wars against Naples, not even a new aid started. Milan lost Casey and romagnoli last summer, and Ibrahimovic was close to retiring, but the Rossoneri hardly got any new blood, and it was almost doomed that they gradually declined at the end of the season. Inzaghi can let Lu Kaku play the league, Zhe Ke play the Champions League, and Milan can only hope that Gill will stick to his teeth.

[The concept is different, but the operation is different]

Therefore, the gap between Milan and Inter Milan in this series is actually the gap between the summer window transfer results. In the past year, both teams have experienced brain drain, and Inter Milan chose to fill it with mature players, such as Lu Kaku, acerbi and mkhitaryan. However, Milan chose to invest in young players to "scratch the lottery". Except for Origgi, who signed for free, all the other players are young people under the age of 23.

Two different strategies have different advantages and disadvantages. Inter Milan’s choice can bring more instant fighting power to the team. The third-line parallel is closely related to the performances of mkhitaryan and Lu Kaku. acerbi’s aging and growing stronger offset the negative impact of skrinjar’s "defection", so that Inter Milan will not lose its fighting power because of the absence of the core central defender. However, the cost of the lineup is high and the age is high. Even if the Champions League income is more than 100 million euros this season, the Nerazzurri’s loss has reached 100 million euros.

In contrast, Milan pays more attention to the long-term growth of the lineup, but it also loses experience and ability. Apart from Gill and Kyar, there are no core players over 30 in Milan. The cost of the lineup is also relatively controllable. With the Champions League results this season and the breakthrough in sponsorship, the Rossoneri, which had suffered losses for years, are expected to have a financial balance or even a small profit this season. But investing in young players requires patience, and not every bet can be rewarded. Germany’s Zhongwei Jiafu performed well in the second half, but in the first half, he experienced several months of "slow fire"; Decatur, who has high hopes, has not adapted yet.

But on the other hand, the operation of Inter manager Mallota is still more sophisticated than that of Milan director Paolo Maldini. In recent years, Inter Milan has lost its lineup every year, but Mallota, a seasoned player, has played a perfect game. After Lu Kaku left, he signed Zhe Ke, while Eriksson signed Chaer Hanoglu when he suffered from heart problems. Instead, it was the teams of Rome and Milan who took most of the damage for Inter Milan. Even if Inter Milan’s financial problems are frequently reported in newspapers, Mallota can still guarantee the team’s basic set at the league level.

But Maldini’s operation was too idealistic last summer. Hong Niao Fund hopes to invest in young players, but it is free to choose the specific target. However, the Milan uniform team did not supplement the backcourt when Kathy and romagnoli left the team. Instead, they introduced an attacker with unclear characteristics and outstanding strength, Decatur. Every time Maignan is in a hurry, many Milan fans will think, how nice it is to spend this 32 million yuan on a lower back!

Start all over again, but who will get a second chance? 】

Outside the stadium, Milan also sent ominous signals more than once. Before the first leg of the Champions League, Maldini called Hong Niao Capital and asked for more investment. After the exit, he once again pointed the finger at the management, claiming that "the management’s strategy" decided the transfer operation. In fact, the relationship between local managers and investment funds in Milan has always been subtle. In 2020, even Bo Ban was fired after firing at the employers. This time Maldini chose to fire, which made people worry whether he would make the same mistake again.

Both Eliot and Hong Niao Capital are obviously profit-seeking, hoping that the value of the team will gradually increase. But on the other hand, Maldini received a lot of financial support. Last summer, Milan’s net investment was the first in Serie A, and 32 million euros of Decatur also set a new record in the American-funded era. While criticizing the management strategy, the resource allocation and choice of trader Maldini are equally worth examining. However, with the exit from the Champions League, the contradiction between the two sides seems to be open again. Before starting again, perhaps the Rossoneri will have to face internal friction first.

Jinshan as an agricultural regionIn recent years, the transformation of old and new kinetic energy in agriculture has been continuously promoted.Through the empowerment of science and technology, we will accelerate the development of agriculture into science and technology, intelligence, informationization and precision, and put wings on rural revitalization..

At present, it is spring ploughing season. At Diantian Robot Smart Farm in Tinglin Town, technician Zhou Pengfei is debugging the latest generation of agricultural robots with his colleagues. Rotary tillage, ridging, watering, sowing, and sending operation instructions through mobile phones, these agricultural robots equipped with GPS and Beidou dual systems will "do their jobs" and automatically realize accurate operations with an error of less than 5 cm.

Zhou Pengfei, Technician of Shanghai Diantian Agricultural Cooperative.

Manual operation can’t make a straight line. If we use our machine, every positioning is very accurate, and a straight line will be formed from point to point, making the ridge surface very flat.

In order to change the traditional agricultural production mode, six years ago, Shanghai Diantian Agricultural Cooperative targeted the field of intelligent agricultural robots. Nowadays, the agricultural robots in the cooperative have been updated to the seventh generation. By using technologies such as 5G, artificial intelligence image recognition and big data system, more than 30 tasks such as farming, weeding and picking can be carried out, covering all aspects from cultivated land to harvest.

Zhangqian, a staff member of Shanghai Diantian Agricultural Professional Cooperative.

After upgrading, we also have some of our own supply chains, including some cooperative factories.

At the same time, the AI intelligent operating system and saiga architecture of agricultural robots independently developed by the cooperative can realize the cooperative operation of multiple agricultural robots independently, and truly realize the digitalization of the whole process of agricultural planting and farming management. At present, these intelligent agricultural robots have been widely used in farms in Shanghai, Zhejiang and Northeast China. In 2023, the annual GDP of cooperatives is expected to reach 150 million yuan.

Wang Jinyue, Chairman of Shanghai Diantian Agricultural Cooperative.

In the future, this R&D system will be more open, open source and more adaptable.

"Intelligentization" is not only applied to agricultural operations, but also reflected in modern agricultural irrigation. In the cooperative base of Tinglin Town Huawei Water Saving Technology Group Co., Ltd., a large number of air and soil sensors are distributed in the intelligent strawberry greenhouse with full environmental control. They pay close attention to the growth of crops all the time, and the data such as soil pH value and dry humidity will be monitored in real time and sent back to the computer, which will give instructions after judgment, so as to realize accurate automatic irrigation.

Jiang Tingting, technician of Huawei Water Saving Technology Group Co., Ltd.

The expert system will analyze whether these data are in line with the growth of crops, so that we can know whether it needs watering or fertilization.

By monitoring irrigation with "data" of the whole environment, each greenhouse can save more than 95% of water and fertilizer, and the strawberry yield is also increased by nearly 30%. At present, Huawei has carried out intelligent water and fertilizer integration, Internet of Things agriculture, digital factory, facility cultivation system construction and technical guidance in all regions of the country, covering an area of more than 3 million mu in 25 provinces across the country. Only Huawei drip irrigation technology can benefit about 1.2 million mu of farmland every year, saving costs and increasing efficiency for growers by about 1.2 billion yuan.

Lv Mingli, Chairman of Huawei Water Saving Technology Group Co., Ltd.

Huawei has accumulated more than 20 years in the industry, and we are the first entity to realize the commercial application of crop growth models, accurately matching different growth stages to meet the needs of water, fertilizer, light and heat.

At present, Jinshan District has established smart agriculture experimental zones such as BOE, Songlin, Jiufeng and Rongmei. The intelligent soilless culture system was built by Zhilian Factory, a special vegetable in Langxia Town, BOE, with the help of AI technology, and the mechanized planting coverage in the vegetable growing process was over 90%. Dingdong is the first self-operated vegetable planting base to buy vegetables, which can realize the mechanization of seedling raising, tillage, ridging, transplanting, plant protection and harvesting. In the next step, Jinshan will focus on the joint construction of the national agricultural science and technology modernization pioneer zone, and continuously introduce, digest and absorb cutting-edge agricultural science and technology achievements, so that digital empowerment can promote the high-quality development of Jinshan agriculture.

"Big data" is a data set with a particularly large volume and data categories, and such data sets cannot be captured, managed and processed by traditional database tools. "Big data" first refers to data volumes? Large refers to a large data set, usually in 10TB? However, in practical application, many enterprise users put multiple data sets together, which has formed PB-level data volume; Secondly, it refers to the large variety of data, which comes from a variety of data sources, and the types and formats of data are increasingly rich. It has broken through the previously defined structured data category, including semi-structured and unstructured data. Secondly, the speed of data processing is fast, and the real-time processing of data can be achieved even when the amount of data is huge. The last feature is the high authenticity of data. With the interest of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources have been broken, and enterprises increasingly need effective information power to ensure their authenticity and security.

Data collection: ETL tools are responsible for extracting data from distributed and heterogeneous data sources, such as relational data and flat data files, into the temporary middle layer, cleaning, converting and integrating them, and finally loading them into data warehouses or data marts, which become the basis of online analysis and data mining.

Access to data: relational database, NOSQL, SQL, etc.

Infrastructure: Cloud storage, distributed file storage, etc.

Data processing: NLP (NaturalLanguageProcessing) is a subject that studies the language problems of human-computer interaction. The key to natural language processing is to make computers "understand" natural language, so natural language processing is also called NLU (NaturalLanguage Understanding), also known as Computational Linguistics. On the one hand, it is a branch of language information processing; on the other hand, it is one of the core topics of artificial intelligence.

Statistics: hypothesis test, significance test, variance analysis, correlation analysis, t-test, variance analysis, chi-square analysis, partial correlation analysis, distance analysis, regression analysis, simple regression analysis, multiple regression analysis, stepwise regression, regression prediction and residual analysis, ridge regression, logistic regression analysis, curve estimation, factor analysis, cluster analysis, principal component analysis, factor analysis, fast clustering method and clustering method

Data mining: Classification, Estimation, Prediction, affinity grouping or association rules, Clustering, Description and Visualization, complex data type mining (Text, Web, graphics, video, audio, etc.)

Prediction: prediction model, machine learning, modeling and simulation.

Results: Cloud computing, tag cloud, diagram, etc.

To understand the concept of big data, we should first start with "big", which refers to the data scale. Big data generally refers to the amount of data above 10TB(1TB=1024GB). Big data is different from massive data in the past, and its basic characteristics can be summarized by four V’s (Vol-ume, Variety, Value and Veloc-ity), namely, large volume, diversity, low value density and high speed.

First, the data volume is huge. From TB level to PB level.

Secondly, there are many types of data, such as weblogs, videos, pictures, geographical location information, and so on.

Third, the value density is low. Take video as an example. During continuous monitoring, the data that may be useful is only one or two seconds.

Fourthly, the processing speed is fast. 1 second law. This last point is also fundamentally different from the traditional data mining technology. Internet of Things, cloud computing, mobile Internet, Internet of Vehicles, mobile phones, tablets, PCs, and various sensors all over the globe are all data sources or ways of carrying them.

On December 1, OPPO announced at the 2021 Qualcomm Snapdragon Technology Summit that OPPO’s new flagship machine will be equipped with a new generation of Snapdragon 8 5G mobile platform and will be available in the first quarter of 2022. At the same time, including onePlus, which has previously become an OPPO sub-brand, the cooperation between OPPO big family and high-tech will enter a new stage, continue to promote 5G in the global Pu Wei development, explore and build intelligence.cell phoneThe next stage.

Zhang Xiao, vice president of OPPO Overseas Sales, said: "OPPO has been close to Qualcomm to maintain closeness, mutual trust, continues to achieve new results in the process of promoting 5G global development. OPPO flagship products have taken the lead in using flagship Snapdragon Motion Platform, in order for global users to bring excellent innovation mobile experience. OPPO flagship new products with new generation of Snapdragon 8 5G mobile platform will continue to provide users with strong power and diverse extra experience. We believe, OPPO flagship new products The annual flagship product will be again defined. "

Since the open business, the popularity and development of 5G in the world have always maintained rapidly. The latest data shows that as of the end of May, 2021, 169 operators in 70 countries and regions around the world have launched 5G commercial services [data from the Global Mobile Suppliers Association Global Mobile Supplier Association "global 5G Terminal Development Status Report "]. As the fourth largest smartphone brand in the world, OPPO continues to work with Industrial partners in Qualcomm, and work together to promote 5G from the products and applications.

In 2021, OPPO has launched a variety of mobile phones with Snapdragon 5G mobile platform, including the Find X3 series, RENO6 series, not only bringing more global users.5G mobile phoneChoose, also bringing more kinds of technological innovations for them. After the brand mission of "Technology is a good world", OPPO is more focused on scientific innovation from the perspective of 5G mobile phone products. For example, the OPPO Find X3 series is equipped with a full-link color management system that provides color visual enhancements for users with weak color identification capabilities, bringing superior and user-friendly. Screen experience.

In addition, in April 2021, OPPO was used to complete Europe’s first SA commercial manufacturer using the Snapdragon Mobile platform, and Higtong worked hands with Qualcomm to promote 5G SA network construction, and accelerated 5G commercial landing in the global market. Up to now, OPPO has become a partner with more than 80 operators around the world, and has achieved further business progress in Europe and emerging markets, including Latin America, South Africa, and in Europe, including Latin America. These achievements are inseparable from the leading technical partners represented by Qualcomm.

OPPO has always adhered to the idea of ??opening, mutual benefit, win – win, working with more industry-leading partners including Qualcomm, actively exploring more valuable cutting-edge technology and applications. OPPO and brand OnePlus faces the future, insist on the implementation of technological innovation to promote 5G evolution, ecological cooperation is the key force to play 5G scale effects, through all-round innovation and cooperation, constantly bringing quality experience and excellence product.