Nt1210 Lab 2.1

The objective of the lab was to program a vehicle to continuously drive in a one meter square. The square was to be completed in less than 20 seconds, and only the wheel encoder could be used to navigate the vehicle. All of this was done by using the Arduino software tool and the Redbot library to create a program that would satisfy the given lab requirements.

In quadrants 1 and 2 how the amount and constituents of the fingerprint residue on the substrate affects the fingerprint image, is determined. In quadrant 1, excess sebum and moisture is first removed from the finger tips with the help of a clean cloth. In quadrant 2, fingertip is first wiped around the nose or forehead to create excess sebum. Quadrant 3 and 4 were used to compare the details between untreated and dusted fingerprint residues.

energy ($\omega$). Solid lines are CRPA cross sections and dashed lines are HF cross sections.

To calculate the effective diameter of the particles, we use Equation 1 provided below. To determine the effective diameter of the particles, we needed to have the hydrometer readings and temperature for each time taken, as well as using the Coefficient of temperature adjustment table provided in Appendix 3 and the Hydrometer 152H length readings in Appendix 4. To able to determine the Percent Finer for Hydrometer, we use Equation 2 provided below as well as Equation 3 for the Dry Weight of Soil provided below. For Equation 2, we also need the Specific Gravity correction for percent finer table to be able to solve Equation 2. The Specific Gravity correction for percent finer table is provided in Appendix 5. Furthermore, to determine the total

Sequential I/Os offer good RAID reads and writes and also preferred even for large writes. For the database and standard files stored on the servers, the random I/O is preferred with an equal disk time span servicing of all of the I/O requests. For a single application, the RAID 0 with more disks are preferred. For the multiple applications, files might be performed either on RAID 1 or RAID 10. Finally, RAID 5 might receive some of the updates for workloads.

We found the density of the unknown object #6 to be 5.9(g/mL). We then use the table to identify the metal, and the result is that the name of the metal is zinc. Since the density of zinc is 7.14 and that is the closes number to our density, we determine that our unknown object is zinc. Our average density for the unknown liquid #5 is .779(g/mL). The closes density of a known liquid on the table is .792(g/mL), so we concluded that our liquid #5 is cyclohexane which has a density of

Lab # 3 class lab3 { static void Main(string [] EkDouTeen) { if (EkDouTeen. Length ! = 0) { if (EkDouTeen. Length==1)

This lab provided a virtual environment that simulated a corporate WAN network. Having a similar network environment at the organization I am currently employed at, I have some experience with vulnerability scanning. I do not have much experience using the nmap utility however, so I was interested to get some experience by completing the tasks within this lab. I didn’t experience many challenges following the steps in the lab itself. I was able to launch the environment successfully and perform the steps without any issue. As with any new environment, it took me a little time to figure out the layout of the simulation and how it functioned. After reading the documentation and spending about ten minutes clicking through the different areas, I felt comfortable and began the steps of the lab.

It converts a varying input voltage into a constant ‘regulated’ output voltage. Voltage Regulators are available in a variety of outputs like 5V, 6V, 9V, 12V and 15V. The LM78XX series of voltage regulators are designed for positive input. For applications requiring negative input, the LM79XX series is used. Using a pair of ‘voltage-divider’ resistors can increase the output voltage of a regulator circuit.

In this lab, many more options were explored with Windows servers. The topics covered were Group Policies and Password Settings Objects. Both of these features of Windows Active Directory allow for very granular settings to be set across the network. These include a wide range of settings that one most likely would not even think of. I have personally worked with both Active Directory and Group Policies quite extensively so neither of these were new topics for me to learn. However, I had never worked with Password Setting Objects before so that was a learning experience. All of these features are useful in any enterprise production network and are highly valuable skills to have.

Tor: “Tor is a network of virtual tunnels that allows people and groups to improve their privacy and security on the Internet. It also enables software developers to create new communication tools with built-in privacy features. Tor provides the foundation for a range of applications that allow organizations and individuals to share information over public networks without compromising their privacy.

There are two types of inputs digital and analogue. Digital inputs are discrete signals in the form of HIGHs and LOWs. The combination of these HIGHs and LOWs indicates what the data is. Analogue signals are continuous signals in the form of voltage. The GP2D120 distance sensor gives an analogue output. It can detect objects within the range of 40mm to 300mm. When the sensor is turned on it takes 44 ms to start up and has a response time of 39 ms meaning that it updates its values every 39 ms. The average power consumption is 33 mA.

These pins are connected to the PORT A of the microcontroller and are responsible for triggering and measuring the time of flight of the echo.

- 8 (b) for Figure 3 below strowsthe variationof kinetic energywith displacement the massvariationof potential diagram,drawthe graphshowingthe springsysrcm.On the sirme for with displacement the samesystem. energy

Sensing unit: comprises of two sub units: sensors and analog to digital converter (ADC). Sensors are capable to measure electrical parameters and interface to the real world. The analog signals produced by the sensors based on observed phenomena are converted in to digital signals by ADC. After sampling these signals are fed into the microcontroller for processing