Nt1310 Unit 1 Exercise 4

A sound wave is a disturbance that repeats regularly in space and time and that transmits energy from one place to another with no transfer of matter. In Activity 2 on page 8 we had to model sound waves using an instrument. In our class we used a flute as the example and when the person blew into it, sound waves were produced. As they blew and changed the volume and pitch the sound waves changed. A sound wave is created when something vibrates. When something vibrates, longitudinal waves are created which we can hear. A longitudinal wave is a wave that transfers energy through compressions and rarefactions in the material that the wave travels which are all parts of a sound wave. In Activity 2 it states in some parts of the wave, the air molecules

The subject with type first and type second diabetes who does not receive standard care, comply with the prescriptions or poorly controlled metabolism regarded by the test physician.

Chapter 4 - Describe the impact on users of migrating from a small single server-based network to a directory-based network with multiple servers in different roles. Also describe the impact on network designers and administrators.

A honeypot is a fake system that contains servers to gather information on intruders who are trying to access the network; they typically exist in the DMZ zone of the network.

Given the above considerations, Margaret's osteoporotic femurs are vulnerable to fracture because of (A) the loss of spongy bone in the epiphyses and (B) the thinning of the bony collar in the diaphysis.

Spectrum sensing: Cognitive radio technology will enable the users to determine which portions of the spectrum is available and detect the presence of licensed users when a user operates in a licensed band. A CR user can be allocated to only an unused portion of the spectrum. Therefore, a CR user should monitor the available spectrum bands, and then detect spectrum holes. Spectrum sensing is a basic functionality in CR networks, and hence it is closely related to other spectrum management functions as well as layering protocols to provide information on spectrum availability.

Graph 2 represents that patient A has a much lower initial glucose concentration than patient B. The glucose concentration of patient A reached its maximum in the first 30 minutes, this is due to the quick release of insulin from the body. Whereas, patient B had a slower reaction to releasing insulin which allowed for longer time to be taken for glucose concentration to reach its maximum. The sudden decrease of the glucose concentration in patient A displays the conversion of glucose molecules being stored as energy. In comparison, the gradual change of the slope show that as patient B releases small amount of insulin, it takes more time for glucose molecules to be converted as energy. It can be concluded that patient B has diabetes as the

In this section, we will compare the features that both tools share and make a decision based on superiority. It is also important that GitHub and Bitbucket share much more features than simply these, but some features were just too identically if not completely the same.

If a coworker is not doing their job and it is a partnership, and they lie on the partner solely to do all of the work when there is nothing hindering them from completing the work. Then the coworker who is forced to complete the work by themselves should inform the supervisor, about the difficulties with working with this particular coworker. It should be in an email, so that the supervisor doesn’t see that the individual is taking it personally. The supervisor will not be able to see their facial expressions, tone of voice, eye and body movement, but the individual has more control over the message. Since it is business it should be impersonal, but it will include a high level of detail; which can also be used for written

3.2. BlackHole. In this attack,malicious nodes advertise very short paths (sometimes zero-cost paths) to every other node, forming routing black holes within the network [41]. As their advertisement propagates, the network routes more traffic in their direction. In addition to disrupting traffic delivery, this causes intense resource contention around the malicious node as neighbors compete for limited bandwidth.

A more detailed implementation description is shown in Figure~\ref{fig:block_HHC_shaw}. The components of the harmonic amplitude vector $Y$ are the Fourier coefficients of the measured vibration at the frequency $\omega$. The Fourier coefficients are obtained by integrating the demodulated vibration signal over one sampling period $T^s$. As for the control adjustments $\Delta u_c$ and $\Delta u_s$, they are obtained as the product of the components $Y$, and the inverse of the control response matrix $T$. The control adjustments are sampled and added to the control signal amplitudes of the previous time step, generating the current control amplitude vector $U_k$. The controller output is obtained by summing the modulated components of the control

Langenbruch and Shapiro(2015) stated that seismic events occur in rock sections with high Young’s Modulus and low Poisson’s ratio. Young’s modulus refers to the ratio of amount of stress to strain while Poisson’s ratio is the ratio of lateral strain to longitudinal strain. They stated that a significant amount of rock stress originated from elastic rock heterogeneity, and that the heterogeneity index of rocks indicates these rock sections. Langenbruch and Shapiro(2015) concluded that seismicity induced by fluid injection can be of two ways. One is by the shear reactivation which explains the linear diffusion seismicity explained previously and the other is by tensile opening which only occurs when the minimum effective stress becomes tensile. The reactivation probability of a preexisting fracture is given by CFS calculation which involves cohesion, shear and normal stress, coefficient of internal friction and pore pressure. If CFS is greater than 0, the fault is in a stable state; if CFS is less than 0, the fault is unstable and if CFS is equal to 0, failure occurs. According to Langenbruch and Shapiro(2015), a test was conducted where only the friction coefficient and cohesion were kept constant while the other parameters were altered. This was done because there is no direct measurement for

The third order fracture distribution is strongly dependent on the lithofacies architecture, especially the distribution of bedding plane discontinuities. Fractures in stratified parts of the sequence form a nested structure with a high degree of mechanical units at the scale of individual sedimentary beds. In more homogeneous rocks, a widely-spaced background network of lithology-irrelevant fractures is overprinted by more densely spaced fractures terminating at significant mechanical decoupling surfaces.

It has been long recognized that the presence of naturally occurring fracture network can lead to unpredictable heterogeneity and anisotropy within many reservoirs. In past geophysicists acquired and processed P-wave reflection data at short offset, which automatically implied relatively small angular ray coverage. So seismic anisotropy, which is defined as directional dependence of elastic properties of earth remains unnoticed. But with the advance of methodologies, acquiring long offset and multi-component data become feasible and cost effective, anisotropy showed up. On a smaller scale, stresses in the Earth can cause rock to fracture in a consistent manner. If these fractures are aligned, the rock will be anisotropic with the fast direction parallel to the fractures and the slow direction perpendicular to them. In ideal cases, these observations can provide information on the state of stress in the Earth. Different types of anisotropy have resulted depending on the direction of fracture orientation. A set of parallel vertical cracks embedded in an isotropic background gives rise a transverse isotropic medium with horizontal symmetry axis. Similarly in sedimentary basins orthorhombic symmetry is commonly caused by parallel vertical fractures embedded within a VTI background medium. It may also arise due to two or three mutually orthogonal fracture sets, or due to two identical fracture systems criss-crossing with an arbitrary angle. Such sets of fractures

Fracture density can be defined as the number of fractures per unit length, area or volume. Fracture density is largely dependent on local bedding thickness and location relative to local faults. Due to the mountainous nature of the Andes Mountains and the close proximity of Ocelot Mine to the MFTB, the limestone host rock can be considered to have a heavy fracture density. Fractures also have a strong influence on the permeability of a host rock. Permeability is a function of the transmissivity of individual rock fractures as well as how the individual fractures connect together to form fracture networks. The transmissivity of rocks in a specific environment is difficult to quantify; however, they are largely dependent on the fracture aperture distribution. A mean aperture for limestone is 265 micrometers. The connectedness of a fracture network is strongly dependent on the spatial density of fractures in a rock which can be quantified at the surface through detailed mapping or through the subsurface by seismic travel times [2]. The Antmania copper-zinc mine is located 100 km southwest of the Ocelot lease area and is the closest mine to our location. Hydrogeological research done at Antamina has revealed an average permeability value of 10-6m/s to 10-7m/s with local bedrock units also displaying karstic features [3]. Cross-referencing this information with