Nt1310 Unit 6 Lab Experiments

The goal of this lab was to expand and centralize our infrastructure by adding a Windows Server 2012 VM and configuring it with a number of key services. Some of the services that we deployed on the Windows 2012 VM had previously been configured on other machines, namely the RHEL VM from Lab 2. We began by installing and configuring the server itself, ensuring that we provided it with ample memory and processing power. Next, we configured DHCP, disabling the DHCP service running on our RHEL VM. We then continued by installing Active Directory and DNS on the Windows 2012 VM, disabling the DNS server running on the RHEL VM in the process. The DNS server on RHEL would later be reactivated as a secondary (slave) server. We then proceeded to set up monitoring for both DHCP and DNS. This monitoring was configured locally on the Windows 2012 VM using the Performance Monitoring utility, and also remotely via OpsView. Finally, we installed Microsoft Baseline Security Analyzer on the Windows VM. This was the first lab where it felt like we

6) The tape was used to measure gas accumulation in the balloon after 1minute. Measurement and qualitative observations were recorded.

Please Note: This lab involves a lot of waiting for the gas collection. Make sure you allot yourself the full three hours to perform the experiments.

In Part 1 of the lab, a solar cell was created and tested for its capability to conduct electricity. After researching the processes that contribute to the conductive property, it was found that the oxidized substance is the dye, as it donates an excited electron to the titanium oxide. Consequently, titanium oxide is reduced before it donates an electron to the cathode. The electrolyte solution was found to replenish the dye with electrons so it could continue to act as a reducing agent.

Paper in a vet clinic is becoming less common, most are switching from paper to the computer. To be able to run a successful clinic you have to know the ins and outs of veterinary computer software and how it works and what will work best for your clinic. In the paper I will cover Cornerstone Software, AVImark Software, DVMAX software, and I will compare and contrast the three software’s I have chosen.

Recently has launched a network of 43 oncology sites, part of Quintiles Precision Enrollment (QPE), which combines their technology platform with electronic medical records so that they will only open sites when they have appropriate patients to meet protocol requirements.

You are in charge of the security of information in a research lab. Most of the information is stored in electronic format on the LAN. The researchers can also access these files from their homes. The computers in the lab are also connected to the Internet. The current access is provided to Internet via a combination router-firewall. The entire network resides behind this single firewall-router configuration. It is quite important to maintain the confidentiality of the information, although the lab has limited funds allocated for security. There are 8 workers that use the network connections.

In 2005, Campbell County operated 26 servers and 400 computers. As the County looked for ways to utilize technology to provide new and improved services, the number of servers has risen to 105, while end-user devices now hover around 630. As demand for more servers continued, it soon became apparent the server room at the Courthouse was no longer adequate for size or power requirements. Faced with the prospect of a difficult and expensive remodel, Administrative and Network staff proposed an alternative; rather than continue utilizing traditional “pizza box” servers, a strategic plan to migrate to virtual servers was created. Moving to virtual computing allowed ITS staff to administer a large number of servers much more efficiently. This move

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.

The periodic assessment of risk to agency operations or assets resulting from the operation of an information system is an important activity. It summarizes the risks associated with the vulnerabilities identified during the vulnerability scan. Impact refers to the magnitude of potential harm that may be caused by successful exploitation. It is determined by the value of the resource at risk, both in terms of its inherent (replacement) value, its importance (criticality) to business missions, and the sensitivity of data contained within the system. The results of the system security categorization estimations for each system, is used as an aid to determining individual impact estimations for each finding. The level of impact is rated

where $F$ is a second order tensor representing link strength ($vec(F)$ is the vectorization operation of the matrix $F$), $F^{\ast}$ represents the observed parts of the network.The first term of Eq.\eqref{equ:5} indicates that the two link strength values $F_{i,j}$ and $F_{l,m}$ for the two pairs should be close to each other if the similarity between the two pairs is large. The second term is the loss function that fits the predictions to their target values of the known parts of the network. The second term also acts as a regularization term to prevent the predictions from being too far from zero, and also for numerical stability (the $\ast$ is the Hadamard product). $\sigma > 0$ and $\mu > 0$ are regularization parameters which balance the two terms of Eq. \eqref{equ:5}. $L$ is a $MN \times MN$ Laplacian matrix.

This project deals with the effect of different gases on a football’s “hang time.” Hang time refers to how long the football is in the air. Five Wilson Touchdown Official footballs were bought from Target online and shipped to the researcher’s house. Then, four twenty liter cylinders of industrial grade gases were bought from Airgas online and shipped to the Southwest Virginia Governor’s School. The gases were Nitrogen, Helium, Argon, and Carbon Dioxide. Before this experiment was done, the footballs were filled with the different gases. The filling of the footballs were done in Mr. Frazier’s physics room at the Southwest Virginia Governor’s School. The first step in order to fill the footballs was to clamp one of the Helium gas cylinder to

Most people in the United States today watched football at some point in their life. The sport is played, coached, analyzed, watched by hundreds of millions of people in the United States. The sport revolves around the ball itself. The football is engineered to give the best performance from the game. Many people, though, believe the ball can be optimized to give better performance. The objective of this research is to see if lighter gases than air will cause the football to have a longer hang time and if heavier gases than air will cause the ball to have a shorter hang time. Hang time means how long the ball stays in the air before it touches the ground. The researcher filled five footballs with different gases. The gases being air, helium,

Furthermore, the standard deviation (SD), which represents the devision of the measured values of gas holdup from the mean 〈ε〉 of these values along the diametrical profiles, was also calculated by Eq. 3.

ABSTRACT: The aim of this experiment was calculating the values of viscosity and collision diameter for nitrogen gas, argon gas, and dry air. This objective was carried out by filling a glass bulb to a pressure of about 700 Torr with the desired gas and letting it evacuate the bulb through a capillary over a ten minute period. The pressure was recorded every five seconds. The inverse pressure was graphed against time, and a linear regression along with a least squares were performed. The slope of the line of best fit was used to calculate the capillary radius, which was then used to calculate the viscosities of the gases, which were used to calculate the collision diameters. The experimental values were compared to the literature values by percent difference, and it was found that this technique is not effective. Percent errors ranged from 0% to 30%. To make the values more accurate, the assumptions made in calculations need to be the same for all values. To take the experiment further it could be performed at other pressures, temperatures, and on other gases. Understanding properties like collision diameter and viscosity of gases are important in fields such as gas phase reaction dynamics.