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The goal of this study is to determine how much of an effect glass fibre has on the compressive strength of M20 concrete. There are two groups in this investigation, and 18 samples have been prepared for each. Group 1 consists of your standard M20 concrete, whereas Group 2 features M20 concrete that has been strengthened with glass fibres. CLINICAL software was used to determine the sample size based on values taken from previously published studies. Several tools and resources were used to get the samples ready for analysis. The independent sample T-test, performed in SPSS version 21, shows that the addition of polymer coating to cured fiber-reinforced M20 grade concrete with GGBS slag (20 percent) significantly raises the concrete's compressive strength. According to the results of the compressive testing machine, the increase in strength is 17.435 percent. Table 6 shows that the significance of these occurrences was 0.034. (p0.05). The M20 grade glass-reinforced concrete had a standard deviation of 1.42683, as shown in table 5. Based on the results of this experiment, it can be said that M20 grade concrete that has been reinforced with glass fibres has higher compressive strength than regular M20 grade concrete. [ABSTRACT FROM AUTHOR]

The goal of this study is to determine how much of an effect glass fibre has on the compressive strength of M20 concrete. There are two groups in this investigation, and 18 samples have been prepared for each. Group 1 consists of your standard M20 concrete, whereas Group 2 features M20 concrete that has been strengthened with glass fibres. CLINICAL software was used to determine the sample size based on values taken from previously published studies. Several tools and resources were used to get the samples ready for analysis. The independent sample T-test, performed in SPSS version 21, shows that the addition of polymer coating to cured fiber-reinforced M20 grade concrete with GGBS slag (20 percent) significantly raises the concrete's compressive strength. According to the results of the compressive testing machine, the increase in strength is 17.435 percent. Table 6 shows that the significance of these occurrences was 0.034. (p0.05). The M20 grade glass-reinforced concrete had a standard deviation of 1.42683, as shown in table 5. Based on the results of this experiment, it can be said that M20 grade concrete that has been reinforced with glass fibres has higher compressive strength than regular M20 grade concrete. [ABSTRACT FROM AUTHOR]

One of the main security risks is the software vulnerability. The vulnerability when exploited by attacks, can cause catastrophic losses to the system. There are a number of vulnerabilities that are explored and discovered in the computing system and these vulnerabilities have increased multifold. The security vulnerabilities span across entire networks, large organisations and have to mitigated by information security engineers on a regular routine basis. One of the key challenges for Information Technology (IT) system administrators is how to tackle these vulnerabilities and more specifically which vulnerability to prioritize. All companies recognize the importance and need to prioritize these vulnerabilities. It is not only important to prioritize the vulnerabilities; it is imperative to utilize a vulnerability evaluation system. The significant role of the vulnerability evaluation system is to separate these vulnerabilities from each other through quantitative and qualitative methods. In this paper, we first review through both qualitatively and quantitatively the various vulnerabilities within an existing large global multinational company. We explore and analyze 30,000 various vulnerabilities across a 3-month time period. The 30,000 vulnerabilities are captured using an automated software from individual systems and the network within the company. The software detects the vulnerabilities and the various characteristics associated with these vulnerabilities and assigns severity levels based on the severity of the vulnerability. The severity is assigned a score from 1 to 5, with 1 being least. The vulnerabilities captured span across 20 different lab environments, across different operating systems and these vulnerabilities are with various severity levels. The CVSS vulnerability scoring system was utilized for data from one of the biggest multinational company from within their environment. The researchers analyzed the various vulnerabilities using the various parameters of these vulnerabilities. The researchers analyzed and studied the various inherent patterns within the environment. Various variables were analyzed critically as part of the descriptive analytics. The vulnerabilities were analyzed across the labs. Then each lab was analyzed using variables like OS, various severity levels, IDs, status of vulnerabilities, CVSS scores, Access Vector, Attack Complexity, Confidentiality, Integrity, Availability, Exploitability, Systems, categories of systems, Ports, PCI. [ABSTRACT FROM AUTHOR]