3.2 Developing strategies Internal Factor Analysis Summary (IFAS) Contained six factors that have been identified associated with the strengths and weaknesses in the mining management LPMED as describe in Table 1. Values for the lowest weighting is 0.1 and 0.25 to the highest, while value for little influence rating factors is 2 and 4 for a big impact factors. The total score obtained from the Internal Factor Analysis is 0.65 External Factor Analysis Summary (EFAS) With regard to opportunities…
Scatter Diagram In Figure 1, the straight line fits through the data plotted below showing that a positive linear relationship exists. The small scatter around the line shows the strong linear correlation as well as positive slope. Figure 1: Scatter diagram showing strong positive linear relationship 3. The estimated linear equation is Yi = b0 + b1X1 + e1, where Y is the estimated dependent value for the observation, X is the estimated independent variable for the…
Technology: The World We Live In What would people do without technology? Technology is the focal point of everybody’s lives. It is used everyday for work, to strengthen connections, or pay for something online. Technology has never been relied upon so much. Former Google CEO Eric Schmidt and writer Jared Cohen, in their article “Our Future Selves,” argue that technology will offer the world a greater future with the possible connections and productivity it can generate. Professor Lori Andrews…
Where\\ \textit{A} denotes attenuation of the incident light,\\ \textit{$\alpha $} denotes the wavelength of the incident light,\\ \textit{C} denotes the concentration of the absorber,\\ \textit{d} denotes the geometrical pathlength,\\ \textit{B} denotes the pathlength correction factor and\\ \textit{G} is the additive term for scattering losses \begin{minipage}{\columnwidth} \centering \includegraphics [width=0.75\textwidth] {figures/mbl.png} \captionof{figure}{The modified Beer-Lambert law…
In this work, we assume two different potentials for the initial and final heavy quarkonia and the intermediary hybrid states. The most popular potential form for the study of heavy quarkonia is the Cornell potential [11] V(r)= -κ/r + b r (2.13) Usually many authors prefer α_s (r) instead of κ. The relation between them is κ=(4α_s (r))/3 and α_s (r) can treated as constant for bb ̅ and cc ̅…
Lab 1: Fluctuating Stresses Jinyuan Zhang Due Date: Wednesday, October 14, 2015 Lab Section: 5 Objectives: There are three objectives for this lab. The first objective is applying stresses calculation on a bicycle crank shaft with real-world load. Second objective is visualization of stresses’ fluctuate in process of fatigue failure analysis. The last objective is using the stresses model to find the force is applied on the crank shaft. Sample Calculation: For collecting the…
\begin{abstract} It is known that Groebner bases is EXP-SPACE in general. We show that this remains true over Boolean rings. \end{abstract} \section{Boolean Rings} Let $\mathbb{F}_2 = \mathbb{Z}/(2)$. Let $R_n = \mathbb{F}_2[x_1,\ldots,x_n, y_1,\ldots,y_n, z_1,\ldots,z_n]$ and % \footnote{Over $\mathbb{F}_2$, $+$ is the same as $-$.} \[ S_n := \{c^2 -c \,\, | \,\, c \in \{x_1,\ldots,x_n, y_1,\ldots,y_n, z_1,\ldots,z_n\} \}. \] Let \[ R_n^{\rm b} := R_n / (S_n). \] This is {\em Boolean ring},…
The solution of the Frank and Doris race problem looked to be simple at first. Although Doris speed began faster, Frank gained speed and passed her and thus seemed to be the winner of the race. After looking more closely at the problem I discovered this was not quite the case. I first sketched Frank and Doris given values onto the one Velocity-Time graph. Originally looking at this graph, it looks as if Frank passes Doris at 10 seconds, because that is when his speed becomes greater than Doris’s…
Study Guide: Operations Management: refers to the administration of business practices to create the highest level of efficiency possible within an organization. Operations management is concerned with converting materials and labor into goods and services as efficiently as possible to maximize the profit of an organization. In other words, management of systems or processes that creates goods and/or provides services. Strategy: Strategies provide focus for decision making on how overall…
4.2 Multiple Regression A regression model was run to predict the wine rating from different features (fixed.acidity, volatile.acidity, citric.acid, residual.sugar, chlorides, free.sulfur.dioxide, total.sulfur.dioxide, density, pH, sulfates, alcohol) of wine in R. According to the initial analysis on the distributions of the features, many of those features are right-skewed and thus require log transformation. Forward Selection Algorithm was used to find the best predictive models for wine…