Nt1330 Unit 5 Final Report

1. Describe some reasons why Linux is installed on only a very small fraction of desktop computers. Are there particular categories of products or users who might see Linux as more appealing than conventional operating systems? Do you think Linux's share of the desktop market will increase? Why or why not?

The VMM service crashes and generates an access violation error in System. Xml when it response to an Integration Services event.

"Christie reported that the doctor's laptop would not boot and showed only a black screen with a blinking cursor. Walked Christy through entering the system setup to verify boot settings. Walked her through running the Samsung Recovery feature to restore crucial Windows files. This issue was not resolved. Christy brought the computer to our office. Enabled UEFI boot which allowed the computer to boot into Windows, however, the system encountered a bluescreen and restarted. Booted into safe mode. Used a utility to determine the cause of the bluescreen and found it to be outdated wireless network adapter drivers. Downloaded and installed the latest drivers from the manufacturer, as well as the video adapter drivers. Searched

More than 2.6 million of the top 10 million websites on the web are powered by WordPress. It's no wonder hackers are so interested in WP websites. WordPress does a good job of issuing patches and monitoring vulnerabilities, but with so many third-party themes and plugins out there, your WP website may still be at risk.

When it comes to smartphones, people make choice which smartphones is suitable for them and, sometimes people look at who gives more feature. In this project, the populations is representing are Population 1 which is all iPhone users in Montclair State University and, Population 2 is all Samsung users in Montclair State University. The quantitative variable I will using is cost. I will compare this two major population iPhone vs. Samsung. Also, the I will use this variable cost because I will be comparing iPhone models like five se, six s, six s plus, seven and, seven plus to Samsung s six, s six edge, s seven edge, note five and note seven. This data will show; how much people spend money on this device.

With the development of the act, laws and regulations addressing issues associated with the prevention, responds and payment of oil pollution were put in place. Such laws and regulations mandated new requirements for companies and their associated personnel involved in the shipment or extraction of oil, such as prevention and response plans, routine documentation and licensing renewal, and evidence of personnel’s competency and knowledge. The act also revised the staffing standards of all foreign shipment vessels, thereby requiring all foreign vessels to meet U.S standards to gain entry into U.S territory. Additionally, these prevention laws and regulations required new standards for shipment vessels and routine inspections. Due to the extreme

Mission-creep is when a certain organization is assigned a task and then the organization expands their agenda past the main goal of the original task. There is a desire of the organization to essentially keep going after their initial task has already been completed. An example of this is when the US Department of Agriculture wanted submachine guns for its law enforcers, for this bureaucracy does not and should not have a need for them. Another example would be when the Department of Homeland Security created fusion centers after 9/11 to monitor potential terrorist communication, but these fusions pried into other crimes aside from terrorism. Mission-creep is a potential problem for keeping bureaucracies focused because they are going beyond what is relevant when there are other things to be accomplished. Mission-creep in bureaucracies is essentially like a person who recently cut their lawn to keep it looking nice, but then in turn wanted to keep going and mow the rest of the neighborhood’s lawns as well to make the whole neighborhood look nice.

As discussed, please work with Richard to upgrade Option C to quantity 16 servers with SFP+ (2 10Gb connectivity and 1GB for iDRaC per node) and 16 MD1400. Also, please verify configuration. Lastly, we need a quote from the networking team (Nexus, SFP+, and cabling).

1) Decompress the APK packages of old version and the new one of an application.

Clustering is a fundamental approach in data mining and its aim is to organize data into distinct groups to identify intrinsic hidden patterns of data. In other words, clustering methods divide a set of instances into several groups without any prior knowledge using the similarity of objects in which patterns in the same group have more similarities to each other than patterns in different groups. It has been successfully applied in various fields such as image processing (Wu & Leahy, 1993) cybersecurity (Kozma, Rosa, & Piazentin, 2013), pattern recognition (Haghtalab, Xanthopoulos, & Madani, 2015), bioinformatics(C. Xu & Su, 2015), protein analysis (de Andrades, Dorn, Farenzena, & Lamb, 2013), microarray analysis (Castellanos-Garzón,

Partitioning methods: This algorithm groups dataset into q clusters, where q is a predefined parameter.

We might have created segments that are not meaningfully different from each other. The segmentation should produce segments that are similar characteristics within the group and different characteristics across groups.

For measuring the quality of clusters four criteria have been used. The first three criteria are designed so as to measure the quality of cluster sets at different levels of granularity. Ideally it’s needed to generate partitions that have compact, well separated clusters. Hence, the criteria used presently combine the two measures to return a value that indicates the quality of the partition thus the value returned is minimized when the partition is judged to consist of compact well separated clusters with different criteria judging different partition as the best one. The last criterion is based on time efficiency.

The final result is a tree like structure referred as Dendrogram, which shows the way the clusters are related. User can specify a distance or number of clusters to view the dataset in disjoint groups. In this way, the user can get rid of a cluster that does not serve any purpose as per his expertise. In this case, we used MVA (Multivariate data analysis) node in optimization package: modeFRONTIER (ESTECO, 2015) and other statistical software IBM SPSS (IBMSPSS, 2015) for HCA analysis.

As one of the most popular and widely used data mining techniques, cluster analysis is mainly divided into hierarchical clustering and partitional clustering, which are carried out in a supervised or unsupervised way to separate data into different groups based on similar characteristics. Both the hierarchical and partitional clustering have advantages and drawbacks. Especially, the efficiency and accuracy are the primary challenges that clustering analysis has to face. For example, the most efficient algorithm of hierarchical clustering is complete-linkage clustering in some special cases, the complexity of which is Ο (n2). Therefore, the hierarchical clustering usually leads to too slow efficiency for large data