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                <text>Corona virus or often called COVID-19 is a virus caused by SARS CoV 2, where the incident was uploaded in the world of&#13;
health or we often call WHO. Even the World Health Organization (WHO) has declared that the corona virus outbreak is a Public&#13;
Health Emergency of International Concern (PHEIC) or an international public health emergency. Not only has an impact on&#13;
health, but this virus outbreak has also had a major impact in various sectors such as disrupting the country's economy, disrupting&#13;
the education process and so on. This impact is caused by the very fast spread of the virus. Therefore, the author will analyze the&#13;
level of accuracy in the covid-19 virus by using the certainty method model which aims to make it easier for local governments&#13;
to monitor the spread of the COVID-19 virus and can determine future policies so that the spread is not more easily exposed to&#13;
the community. this method will produce data analysis and diagnoses regarding identifying the covid-19 virus with results in the&#13;
form of accuracy, namely someone is indicated as COVID-19 POSITIVE.</text>
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                <text>B. Herawan Hayadi 1,*, Enny Widawati 2, Marsellinus Bachtiar 3, dan Fazli Nugraha Tambunan</text>
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                <text>Data Center Based on Cloud Computing Technology</text>
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                <text>With the rapid development of Internet applications, the impact on the development of data centers is huge. Domestic data&#13;
centers attach great importance to the acceptance of cloud computing technology and the construction of application systems.&#13;
Nowadays, data centers can be effectively transformed into cloud computing development. The operating support environment&#13;
has become the main consideration and focus of today’s data center development. Under the concept of cloud computing, this&#13;
article analyzes and builds a new data center that is more in line with the needs of resource management and information&#13;
construction. Taking the development of data centers based on cloud computing technology as the research object, building data&#13;
centers through cloud computing technology realizes the acquisition and organization of data and makes full use of resources. A&#13;
new information resource management system with functions such as classification and query of data, overall processing and&#13;
analysis of data, backup of data, information management and services has been realized. Before using the cloud computing&#13;
model, the network deployed a total of 40 virtual servers, and the average CPU utilization rate was less than 40%. Since the&#13;
establishment of the data center model in this article, the utilization rate of the processor has stabilized at around 95%. Therefore,&#13;
the data center proposed in this paper greatly improves the utilization of data and speeds up the overall construction of the data&#13;
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                <text>Study on the Ideological and Political Practice Teaching of College&#13;
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                <text>At present, although the ideological and political courses in Colleges and universities include practical teaching, there are many&#13;
problems in practical teaching. Therefore, the reform of College Students' Ideological and political practice teaching mode has&#13;
become a key research issue. Through the practical teaching mode, we can enhance the attraction of Ideological and political&#13;
courses, which will improve the teaching effect. This paper first analyzes the importance of practical teaching in the ideological&#13;
and political course. Then, this paper puts forward some problems in practical teaching. Finally, some suggestions are put&#13;
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                <text>The Research and Application of Adjustable Drive Improve Oil Recovery&#13;
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                <text>In order to solve the serious problem that the injected water channeling is serious and the water flooding effect is getting worse in&#13;
Ansai low permeability fractured reservoir. Developed the gelling movable gel profile control displacement-agent RD which Can&#13;
control the gel time and the strength. Select out the surfactant XSY-1 that can reduce water interfacial tension to ultra-low and&#13;
can significantly improve oil displacement efficiency. Designed five group profiling experiments on parallel cores, optimized&#13;
movable frozen rubber slug of surfactant slug best combination of 0.2 of the PV profile control agent add 0.40 PV surfactant,&#13;
compared with the water flooding ways to enhance oil recovery of 22.5％. Adjustable drive combined with technology is the&#13;
effective way to improve the Ansai low permeability fractured reservoir water flooding effect.</text>
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                <text>After decades of research by researchers, there have been many mature algorithms and systems that can meet the requirements&#13;
for the application of computer vision algorithms in many fields. There are applications of computer algorithms in many&#13;
industries, such as car navigation, video detection, industrial production and other industries. Most industries have&#13;
synchronization requirements in terms of time, that is, real-time. Because of the limitation on the amount of calculation, many&#13;
realtime vision systems will use the local window algorithm, but the image quality generated by the local algorithm and the&#13;
image quality generated by the global algorithm have a large gap. According to the latest research results, if you use precisely&#13;
adjusted matching calculation and collection methods, the local algorithm is as good as the global algorithm in terms of matching&#13;
rate. This article mainly takes UAV as the research object, and studies the UAV's processing function of graphics and image&#13;
based on computer vision algorithms. The research content mainly includes the single passage of the UAV in different&#13;
environments of straight lines, corners, and slopes, and the passage of the UAV in the overall process. Through the application of&#13;
computer vision algorithms in the UAV's graphics and image processing process, the experimental data is analyzed and the&#13;
corresponding conclusions are drawn.</text>
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                  <text>VOL 6 NO 1 JANUARY 2023</text>
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                <text>Establishment and Application of Spatial Distribution Model of Roof&#13;
Greening Based on GIS Technology</text>
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                <text>The stage from the beginning of the 21st century to now is the stage of the scale development of roof greening(RG) in China.&#13;
With the continuous progress of urban construction, on the one hand, the ecological environment is deteriorating, on the other&#13;
hand, the available green space in the urban center area becomes more and more scarce. The development of this contradiction&#13;
promotes the rapid development of RG. RG plays an important role in enriching urban landscape, increasing urban green&#13;
quantity, reducing urban heat island effect, conserving rainwater and reducing temperature, and creating a new green space for&#13;
the city, including leisure, entertainment and ecology, and improving urban ecological landscape. This paper mainly studies the&#13;
establishment and application of spatial distribution(SD) model of RG Based on GIS technology. Through understanding the SD&#13;
design of RG, the paper investigates and analyzes the status quo of green space of roof, macro layout and the integration of&#13;
multiple functional spaces. This paper studies and establishes a multiobjective optimization model of SD of RG, and analyzes the&#13;
purification effect of RG on rainwater pollutants and the overall performance of ecosystem service equity. The results show that&#13;
26.31% of the people think that the degree of RG is insufficient, and 5.14% think that RG is scarce. In the cognition of the status&#13;
of RG space, 12.41% of people don't care about RG, 8.69% think it is face engineering, and even 9.31% think it is a waste of&#13;
resources, which indicates that the promotion of RG needs to be improved.</text>
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