Essay On Moving Truck

Essay On Moving Truck
Getting The Most From Your Moving Truck Rental: 4 Ways To Maximize Efficiency
Moving isn't something anyone usually looks forward to, in terms of the packing and hauling from one location to another, but what most people fail
to do is plan accordingly, then execute that plan with maximum efficiency. You, on the other hand, are going to make this move a success. Here's how
you're going to do it when renting your moving truck:
1. Compare Prices And Services
Looking for a local service may be your best option; however, depending on your specific needs, something a little further away or even closer to
your new home could work out better. Make a list of the services you're interested in, such as the distance of the move, packing help and ... Show more
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The rest of your furniture is loaded, next, meaning it should all be lined up and ready to go, including moving all things to the first floor and/or
main room closest to the exit you'll be using. At this point in packing, you should make sure all items are protected and secure, from placing blankets
over nice furniture to tying down items that could lodge loose during the trip. Boxes should follow all furniture and they should be as uniform as
possible, to allow for efficient stacking, and they should be packed firmly and full. Once the truck is loaded, you should check the fuel gauge and
traffic reports, to ensure a smooth and problem–free voyage.
Since all of this is much easier said than done, make a strategic operation out of the entire moving event, by delegating responsibilities, assigning the
oversight of key elements to people you know can handle them. Make as many lists as you need, from individual jobs to the items to be moved to a
checklist of all the things you need to take care of before signing off on your old residence. The moving company should have a brochure or
spreadsheet you can plan your successful move with. The keys to a low–stress move are planning and preparation; hence, the more you handle this like
a military operation or professional work project, the better it will go.
4. Return The Moving Truck On

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The Neonatal Brain Mri Image Database
As shown in the above figure 1, the input neonatal image from the database is preprocessed using techniques such as noise removal, inhomogeneity and
partial volume correction. Then from the preprocessed image the texture feature is extracted through EWT (Empirical Wavelet transform) and the most
relevant features like Entropy, Correlation, Contrast, Homogeneity and Dissimilarity are chosen by GLCM (Gray Level Co–Occurrence Matrix).
Based on the selected features the image is segmented by means of SOM–DCNN and then from the segmented image the tissues are classified through
the help of sparse auto encoder.
Consider is the neonatal brain MRI image database, where ' ' is the number of images and the vector function of each image in the neonatal brain MRI
image database is given as .
3.1 Preprocessing
The regions of an image containing different intensity values can be modelled as a finite Gaussian distribution. All the pixels in the same image
belongs to same class and energy function is given by (1)
Where is a set of Gaussian parameters; is the Gaussian mean and is the Gaussian variance for the object .
Also reduction of noise present in the image is important and it is done when the contextual constraint is taken into account as the weight of the pixel.
For the above equation 4 with zero mean only the variance is varied by additive Gaussian noise. By this way the Gaussian model suppress the
Gaussian noise and variation can be

A Report On Energy Efficiency
Abstract: Energy efficiency (EE) is an important objective in uplink wireless communications due to the limited capacity of batteries in user
equipment (UE). Consider the scenario in which the access point (AP) serves a subset of UEs when available resources cannot support all of the UEs'
quality–of–service (QoS) requirements. In this project, propose a scheduling metric to balance the tradeoff between EE and fairness. Based on the
scheduling metric, propose a suboptimal joint scheduling and resource allocation algorithm and a power allocation algorithm that maximizes the system
EE. Simulation results show that the proposed algorithm can achieve a good tradeoff between the system EE and fairness.
I.INTRODUCTION The booming demand for wireless applications and the relatively low battery capacity in UE puts a premium on achieving high
EE. With the growing popularity of green communications, EE is becoming increasingly important. Previous work on energy–efficient resource
allocation in OFDMA systems has mainly focused on downlink scenarios. Due to constraints on individual UEs and the discrete nature of sub channel
assignment uplink energy–efficient resource allocation is less tractable. In an uplink allocation algorithm is described to maximize the minimum EE
among all users.
In order to maximize the total EE of all UEs under individual power and rate constraints for the UEs an efficient suboptimal algorithms are proposed.
The proposed

Evolution And Innovation And The Development Of Aerospace...
Introduction Evolution and innovation are two of the most important factors in the development of aerospace design. When faced with a design
problem the decision has to be made whether to develop the current idea, or whether to explore a new idea. The decision chosen will usually be a
mixture of both. Brief History of Optimisation Optimisation is an extremely old method and was used as far back as when Newton used it to
calculate maximum and minimum values for functions. One of the first times that optimisation methods were used within aerospace was by Goddard
(1919), not long after the First World War. He used this method to maximize the height of rocket trajectories, where the rockets performance was
approximated over discrete intervals and the needed nozzle velocity was calculated by using a trial and error approach. Although a great discovery,
optimisation didn't really exceed until the invention of computers in the late 1950's and late 1960's [1]. Introduction Chapter: This chapter should set
the scene. o It should define the scope of your literature review and identify why it is relevant and timely. o What is the benefit of this research topic
to the society – in the next three to five years and in the next seven to ten years? o Then you should introduce your chapters briefly describing what you
have written in those chapters Optimisation Optimisation methods are defined by the type of problem that they can begin to solve. The categories of
the problems that

Nonlinear Programming
Homework 2 System optimization and scheduling| Name :| жќњеЅЄ| Class ID :| 3034| Student ID :| 3113033039| Department :| CS| Email:|
1012298204@qq.com| | | Solution 2 Solution of problem 1.6.4 : It suffices to show that the subspace spanned by is the same as the subspace spanned
by, for .We will prove this by induction. Clearly, when k = 1 the statement is true. Assume it is true for k
–1 < n–1, i.e. Where denotes the subspace
spanned by the vectors. Assume. Since and minimize f over the manifold, from our assumption we have that . The fact that yields . (1) If, then from
formulation (1) and the inductive hypothesis it follows that (2) We know that is orthogonal to .... Show more content on Helpwriting.net ...
(b) Similar to part (a), the optimal sides are where V is the given volume. (c) The problem is to Maximize 8xyz, Subject to x>0,y>0,z>0 and .
Define the Lagrangian function If (x*,y*,z*) is a optimal solution, then the first order necessary conditions yield It has the unique solution .we
check that the 2nd order sufficiency conditions are satisfied at the point above. Solution of problem 3.3.5 : (a)Let be arbitrary. Then there exists a
sequence such that. For each, we have Since is a constrained local minimum, we have for all sufficiently small (for which is feasible), and thus.
Hence as desired. (b) If is a constrained local minimum, we have from part (a) with According to Farkas' lemma, this is true if and only if there
existsuch that ,. Setting for , we have the desired result. (c) We want to show that, where is the cone of first order feasible variations given by First,
let's show that under any of the condition (1)–(4), we have .By Mean Value Theorem, for each and for any there is some such that Becausefor all
andfor all , we obtain for all , which by continuity of each implies that So that. Thereforeand Now we need to show that for each of the parts(1)
through (4). (1) Let for all j, Where are vectors and are scalars. Let. We have . If, then by the definition of we have,so that for all. If and, then for any .

The Optimization Problem Of Matlab Routines
Relevant numerical techniques, which have been done with the help of MATLAB routines, are applied to solve the arising optimization problem and
to find the optimum parameters of the TMD. For a given mass ratio, Вµ, one can assume different values of the frequency ratio, f, and for each
frequency ratio assuming a range of damping factor О¶2 of the TMD and estimate the optimum parameters that minimize a certain desired output. Fig.
8 is an example of the numerical optimization conducted to estimate the optimal frequency ratio and damping factor of the TMD for two different mass
ratios under wind loads modeled as white–noise. The optimization is based on the minimization of the displacement of the primary structure. In this
numerical optimization, the responses of the primary structure are normalized, which means that the response obtained with the TMD when attached to
the structure is divided by the corresponding response obtained without the TMD. The optimal values of the frequency ratio and the damping factor of
the TMD are written on the subfigures. It is shown that a TMD with 1% mass ratio can provide a significant reduction in the displacement response of
the primary structure. The reduction in the displacement depends very much on the tuning frequency and the damping ratio of the TMD. By increasing
the mass ratio from 1% to 5%, the displacement response of the primary structure is reduced. However, the TMD with 5% mass ratio is more robust to
the changes in the frequency

Virtual Organization Behavior
Virtual Organization Characteristics
From the definitions of virtual organization/team, it can be summarized that virtual organization/team has four main characteristics which make it
different from non–virtual organization/team:
First, cross line, virtual organization/team is centralized with a few or without department. Business environment change makes a company or
organization should be more flexible in doing its activity. When a company should produce a high quality product to meet their consumer needs, they
could collaborate with other companies to determine consumer needs. In this case, virtual organization/team has an important role.
Second, resources and purpose sharing, virtual organization/team could facilitate someone with innovative idea but has not enough resources. Amazon
sells a lot of books but they do not really have the books, they cooperate with other parties who have the books and then sell it via Amazon.
Third, geographic dispersion, refer to any physical dispersion of team members, such as different geographic locations or different workplaces at the
same geographic location, nationally or internationally. Virtual organization/team could maximize the time difference advantage from its member.
When a US company develops a website they can work on it from morning to evening, and their partner in the other part of the world (Asia, Africa, or
Europe) will continue the development so it could finished faster.
Fourth, impermanent member, one team formed

Essay On 3d Density
The most important goal in gravity interpretation is producing a 3D and clear image of anomaly resources. One versatile theory for achieving this
picture is 3D density contrast distribution from gravity data. However, we face to uniqueness for solving these inversion problems. For resolving this
issue, an interpreter has to decrees the geometry resolution of an anomaly.
For example, using the Tikhonov regularization (Tikhonov and Arsenian, 1977) has led to the unique and stable solution, but regardless of producing
blur image of an anomaly, this method is focused on mass varying on the boundary of interpretation region and does not consider the actual depth of
anomaly.
Also, a compact inversion method was presented by Last and ... Show more content on Helpwriting.net ...
By this way, Ardestani and Nejati (2011) achieve better image for the 3–D density contrast distribution.
In this paper, to clarify the anomaly, we improve the precision of inversion result, in minimum inertia; in Ardestani and Nejati (2011) algorithm by
In order to avoid nonuniqueness in inversion, they add some constraints such as geometrical properties and prior density contrast which are provided by
geological information of the studied region. But, in some areas with complicated geology, it is difficult to trust this information and sometimes may
lead to losing the inversion.
To overcomes these possible problems, we use a linear multiple regression on different models of improved circularcylinder (Su et al., 2012) to provide
prior information in Ardestani and Nejati (2011) algorithm. Our inversion algorithm is less dependent on geological information and more flexible with
prior information.
In the following, we define the outline of this paper. In section 2, we explain about the method for constructing the gravity anomaly by using a grid of
3–D rectangular prisms. In section 3, the Lewi inversion algorithm is discussed, also it is extended with the minimum momentum inertia. In section 4,
we introduced the linear inversion based on the inclined cylinder for providing our prior information. In section 5, the synthetic examples are used to
illustrate the results of our inversion procedure. In section 6, this method is applied to the mining deposits

Essay on Hhjkhhj
Find an equation of the tangent to the curve y(x) = x2 – 3x + 2 at the point (1, 2). Question 1 options: | 1) | x + y = 3| | | 2) | 2x – y = 3| | | 3) | y = 2| | |
4) | x – y = 3| | Save Question 2 (1 point) Find an equation of the tangent to the curve f(x) = 2x2 – 2x + 1 that has slope 2. Question 2 options: | 1) | y =
2x| | | 2) | y = 2x + 1| | | 3) | y = 2x + 2| | | 4) | y = 2x – 1| | Save Question 3 (1 point) Find the second derivative of the function y = 14x – 12x2 Question
3 options: | 1) | 14 – 12x| | | 2) | 14 – 24x| | | 3) | –24x| | | 4) | –24| | Save Question 4 (1 point) If s = 2t2 + 5t – 8 represents... Show more content on
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Question 13 options: | t = 0| | t = 6| | t = 0, 6| | t = 3| Save Question 14 (1 point) Calculate where the minimum value of the

MGSC: Cube Centimeters Test
MGSC 1206 Test 1 Review Solutions Not covered in this review: Find R(p) graphing R(p) graphing in general, try graphing in Q#1 – R(x) with C(x),
also P(x) Odds Optimization Application Problem involving single variable Building a demand function and then a revenue function Definitions e.g.
Non–linear and dynamic functions; Decision–making under certainty, uncertainty and risk Practice Questions: x2 20 (a) Find an expression for the
marginal revenue first using the limit definition and again using rules for differentiation. 1. Revenue function of producing and selling x units of a
product is: R(x) = 20 x в€’ R(x+h) = 20( x + h) в€’ ( x + h) 2 ( x 2 + 2 xh + h 2 ) = 20 x + 20h в€’ 20 20 ( x 2 + 2 xh +
... Show more content on
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Note there is no "senior" let's assume I meant "wartime" P( H в€
Є W ) = 87 + 35 в€’ 14 = 0.216 500 The probability is 21.6% that a randomly selected
Nova Scotian has a high level of agreement or is a senior (wartime generation). (e) The probability that a randomly selected Gen–X 'er has a low level
of agreement. P( L | X ) = 93 = 0.5407 272 The probability is 54.07% that a randomly selected Gen–X'er has a low level of agreement. (f) Whether the
events "being a Gen–X 'er" and "having a high level of agreement" are independent. Verify. Q P ( X ) = 0.344 в‰ P ( X | H ) = 13 = 0.149 87 в€
ґ The
events "being a Gen–X'er" and "having a high level of agreement" are NOT independent. (There are alternative ways to show the events are not
independent. (g) Whether events "being a Gen–X 'er" & "having a high level of agreement" are mutually exclusive. Explain. No, the events "being a
Gen–X'er" and "having a high level of agreement" are NOT mutually exclusive because n( X в€© H ) в‰ О¦ . 4. Suppose Digital Tigers has an annual
budget of $100,000 to spend on an advertising campaign. If they spend x thousand dollars on ads, the total sales of the computers, in thousand dollars,
is given by the following model: S(x) = 1.26x 2 – 0.006x3 (a) Find S'(x) and the critical numbers of S(x). S'(x) = 2.52x – 0.018x2 = 0 –0.018x ( x –
140) = 0 x =0 or x = 140 S''(x) = 2.52 – 0.036x S''(0) < 0 (min) S''(140) > 0 (max)

What Is 3-K-Means Clustering Algorithm
.3– K–Means Clustering Algorithm
The K–means algorithm is an unsupervised clustering algorithm which partitions a set of data, usually termed dataset into a certain number of clusters.
Minimization of a performance index is the primary basis of K–means Algorithm, which is defined as the sum of the squared distances from all points
in a cluster domain in the cluster center. Initially K random cluster centers are chosen. Then, each sample in the sample space is assigned to a cluster
based on the minimum distance to the center of the cluster. Finally the cluster centers are updated to the average of the values in each cluster. This is
repeated until cluster centers no longer change. Steps in the K–means algorithm are [K.M. Murugesan and S. ... Show more content on Helpwriting.net
...
In a PSO system, a swarm of individuals (called particles) fly through the search space. Each particle represents a candidate solution to the optimization
problem. The position of a particle is influenced by the best position visited by itself (i.e. its own experience) and the position of the best particle in
its neighborhood (i.e. the experience of neighboring particles). When the neighborhood of a particle is the entire swarm, the best position in the
neighborhood is referred to as the global best particle, and the resulting algorithm is referred to as a gbest PSO. When smaller neighborhoods are
used, the algorithm is generally referred to as a lbest PSO [Y. Shi, R. Eberhart,1998].
The performance of each particle (i.e. how close the particle is from the global optimum) is measured using a fitness function that varies depending on
the optimization problem.
Each particle in the swarm is represented by the following characteristics: xi : The current position of the particle; vi : The current velocity of the
particle; yi : The personal best position of the particle.
For each iteration of a PSO algorithm, the velocity vi update step is specified for each dimension j = 1.. Nd, where
Nd is the dimension of the problem. Hence, vij represents the jth element of the velocity vector of the ith particle. Thus the velocity of particle i is
updated as using the following equation:
Where w is the inertia weight [Y. Shi, R.

Algorithm Of Sequential Gradient Search Essay
3.6. Algorithm of sequential gradient search
Step 1: Set specifications of the inductor
Step 2: Set the values of Bm , пЃ¤ and no. of core steps. Step 3: 0.45в‰¤ K в‰¤ 0.6 and 0.3 в‰¤ Rw в‰¤ 0.4
Step 4: i = 0 to 30 do: K п‚¬ 0.3 пЂ« i / 100
Step 5: Calculate cost.
Step 6: If cost shows initially low and after that high, (concavity fails for K ) go to step 28 Step 7: i = 0 to 20 do: Rw п‚¬ 2 пЂ« i /10
Step 8: Go to sub–routine, calculate the cost.
Step 9: If cost does not show low value and then high (concavity fails for Rw ) go to step 28
Step 10: i = 0 to 30 do: K п‚¬ 0.3 пЂ« i / 100
Step 11: Go to sub–routine and calculate the cost.
Step 12: if present cost > previous cost go to step 14
Step 13: end for
Step 14: back to previous value of K
Step 15: For i = 0 to 20 do: Rw пЂЅ 2 пЂ« i /10

Step 16: Go to sub–routine and calculate the cost.
Step 17: if present cost > previous cost go to step 19
Step 18: end for
Step 19: back to previous value of Rw
Step 20: Go to sub–routine and calculate cost, performance etc.
Step21: check for constraints violation (iron loss &copper loss), if it violets then go to step 25 Step 22: check for temperature rise, if it violets then go
to step 25
Step 23: Print out results: go to step 26 Step 24: Stop
Step 25: End
Design optimization or optimal Design means effective and efficient design with minimum manufacturing cost within certain restriction imposed on it.
Optimization is the process of searching highest and the least values of a given

Temperature Analysis Of Temperature During The Summer
Temperature Analysis
The expectations I held when first given this assignment are echoed in the conceptual models presented in the guidance document: locations situated
close to the ocean ought to exhibit cooler temperatures during the summer months while maintaining slightly warmer temperatures during the winter
and that more inland locations should display slightly higher temperatures within the summer time but lower temperatures during the winter months.
This expectation was largely influenced by the knowledge I have incurred while living in a coastal area: wind and surf carry cooler air to the coast
during the summer while carrying warmer air to land during the winter. Upon reviewing the recorded temperatures within the six ... Show more content
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As these locations have similar enough latitudes, 27.9 and 28 degrees north respectively, it is unlikely that the results are skewed. Continuing to
follow the notion proposed within the given conceptual model, the southern stations showed that the inland city of Devil's Garden experienced
substantially colder winters compared to the winter time temperatures seen in Miami Beach. Encountering an average winter temperature of 51.4
degrees, Devil's Garden is approximately 12 degrees cooler than Miami Beach's average minimum winter temperature of 63.6. These locations,
however, did not exhibit such a large disparity in summer time temperatures with Devil's Garden's maximum average displayed at approximately 92
degrees and Miami Beach's maximum average displaying exactly 87 degrees. Upon further investigation, it appears that the discrepancy in average
temperatures between the locations is perhaps caused by a sizable difference in latitudes with Devil's Garden situated at 38.8 degrees north compared
to Miami Beach situated at 25.8 degrees north. This divergence is the most likely responsible for Miami Beach's high summer temperatures as areas in
lower latitudes often experience warmer weather in addition to the fact that the beach is located closer to the equator. To compare coastal stations, it is
clear that the second conceptual model is reasonably correct when asserting

The Decision Support Systems ( Dsss )
1) Forestry sector is one of the significant industries in Chile having consistent growth. There are multiple big forestry companies in Chile, owning
large (in thousands of hectares of land) plantations. In 1988, all the companies joined an association called "Forestry Production Group (GPF)"
coordinated by a non–profit organization called "Fundacion Chile" to help in the development of Chile. All the companies alongwith the help of
University of Chile jointly developed various optimization decision systems to help the industry efficiently handle the consistent and large growth in
the forestry sector and help the companies run their businesses more efficiently and profitably. (The systems developed are shared by all the forestry
companies ... Show more content on Helpwriting.net ...
Thus the output of the model is the truck schedule, i.e. from which origins to schedule the trucks to the destination, satisfying the total demand at each
destination.
The constraints include: the availability of trucks and cranes at the locations, types of trucks and cranes needed for specific products and
origin–destinations, the time and cost involved with each type of truck and crane (time and money constraint), time of arrival of trucks at destinations,
which decide the number of cranes needed for unloading, and, finally, labor and policy constraints (such as the maximum working hours per day/week).
b) OPTICORT: This system is used for short term planning for harvesting, i.e., which timber stands should be harvested to satisfy demand for the next
period (typically three months).
The demand is for various types of logs (depending on the length and diameter required). The task of the planner is to select the timber stands to harvest
so that depending on the height of the trees, the demand for various types of logs can be satisfied through minimum number of trees without wasting
much timber for lower grade pulp.
The objective function is to maximize the profit (or, in other words, minimize the total harvesting and transportation cost).
The constraints include:
i) Total volume of timber available ii) Harvesting capacity constraint iii) Supply constraint, i.e., the availability of each type of timber

Pectinase Reaction Lab Report
3.5.3. Optimization of medium components for pectinase production by strain name using Plackett–Burman experimental design: The
Plackett–Burman experimental design, a fractional factorial design, was used in this part of work to demonstrate the relative importance of medium
components on pectinase production and growth of strain name. Seven independent variables as shown in (table 11) in eight combinations were
organized according to the Plackett–Burman design matrix as in (table 12). For each variable, a high (+1) and low (–1) level was tested. All trials were
performed in triplicate, with culture volume 50 ml in 250 ml Erlenmeyer flask and each experiment was repeated twice, with the mean considered the
response. The main effect of each... Show more content on Helpwriting.net ...
9). (–1) represents the low concentration level and (+1) represents the high concentration level for each component. The average of results of
pectinase activity and protein content are presented in (table 13).The main statistical analysis of this experiment is shown in (table 14).The main
effect of each variable upon enzyme activity and protein content was estimated and represented graphically in (figure 12, 13) respectively Show that
the highest pectinase activity was recorded for trial no. 6 while the lowest activity was recorded for trials No. 7 and 1. The main effect with a
positive sign indicates that the high concentration of this variable is nearly optimum and a negative sign refer to that the low concentration of this
variable is nearly optimum. The data obtained showed a range of positive main effect values refer to that the presence of high levels of orange peel,
Na2HPO4, MgSO4.7H2O and NaCl in the production medium positively affects pectinase production by strain name. On the other hand, the presence
of NH4Cl, KH2PO4 and Inoculum size at their lowest levels would result in higher pectinase

Risk Based Portfolio Construction Methods
Risk Based Portfolios
In this section, Lee Wai (2001) briefly explained characteristics of the four well–known risk based portfolio construction methods – Equally Weighted
Portfolio, Global Mean–Variance Portfolio, Most Diversified Portfolio, and Risk Contribution Portfolio.
First, the equally weighted portfolio is the simplest portfolio construction approach that gives all assets same weights (Lee, 2011). Lee described the
portfolio as the most heuristic portfolio because it completely ignores the return and risk relationship of investments. Lee also argued that equal
weighting of assets does not guarantee diversification since this strategy does not have any consideration of correlation among assets. This is the
complete and undeniable truth. As we have learned from the investment and financial theory courses, some of assets have close relationship that can be
estimated by covariance between assets.
Second, the global minimum variance portfolio (GMV) is a unique portfolio on a portfolio frontier since it has the lowest volatility (Lee, 2011). Lee
explained that although the marginal contribution to risk of all assets in the GMV is identical, this does not mean risk contributions of each asset is equal
because of the different weights and volatilities of assets in the portfolio. Moreover, the GMV tends to have high weights on low volatility assets in
order to lower the total volatility of the portfolio. As a result, the GMV portfolio can be more sensitive to the

Truss Design Project Essay
Summary
We have designed a truss to support a point load, placed at 190mm from the edge of a 450mm gap. The vertical face of the trusses is modelled on the
already established 'K' truss design, but the overall shape of the structure is our own. There are three 'K' units on each truss. The two vertical faces are
held together at the top by another truss–like design. We modelled this on the 'N' truss.
The truss is constructed from hot–dog sticks, glue and bolts.
Introduction
The task was to construct a truss out of 48 hot–dog sticks and 30 bolts to support as large a point load as possible. It was to span a gap of 450mm and
to support a load placed at 190mm from the end. The truss may have a maximum depth beneath the supports of ... Show more content on
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We began with a simplified curve and flat bottom, but discovered that a slightly curved bottom distributed the weight more evenly to the truss. The
maximum and minimum points of these curves were best positioned at the point of loading, 190mm from one end.
The more curved the truss, and the greater the number of K units, the more evenly the weight is distributed. However, the truss structure is limited by
the weight of the hot–dog sticks used. For this reason, there are only two K units on the 190mm side, and three on the 270mm side. We have optimised
weight distribution, given the constraint of the weight limit.
The direction in which the Ks point is important. A better distribution of weight can be obtained when the top diagonal branch of the K points down
towards the closest end of the truss. We changed the design accordingly.
The point where the diagonal members meet on the vertical member of each 'K' affects the weight distribution. We found that the higher this point is
made, the lower the forces in the members.
At first we limited the total length of a member to the length of one popsicle stick; however, by modelling the centre length as a single member in pure
tension, we were able to increase the length of this member to make the truss stronger.

Since a single hot dog stick can only support an average tension force of 230N and compression load of not more than 25N, we used the

Homework 3 Introduction to Project Management
92 (2) Let be the number of grade 9 oranges O.J. uses for bags, be the number of grade 9 oranges O.J. uses for juice, be the number of grade 6 oranges
O.J. uses for bags, and be the number of grade 6 oranges O.J. uses for juice. The objective is to maximize the profit. For juice, the profit will be
($1.50$1.05)*( + ), and for bags, the profit will be ($0.50–$0.20)*( + ). Thus, the total profit will be . The objective function is: Maximize The
constraints are: Constraint 1: The total number of grade 9 oranges is 100,000 lb. That is, Constraint 2: The total number of grade 6 oranges is
120,000 lb. That is, Constraint 3: The average quality of juice is at least 8. That is, This gives us: Constraint 4: The average quality of juice is at least...
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That is, Or Constraint 3: The production of the third month must meet the requirement of demand. That is, Or Constraint 4, 5, 6, 7, 8, and 9: Each
month each city has 420 hours of skilled labor available. That is, Constraint 10: All variables must be nonnegative. That is, Using Excel, we can
compute the optimal numbers of cost (checking the box Make Unconstrained Variables Non–Negative to satisfy the Constraint 10): x11 100 x12 210
350 x13 210 350 x21 0 400 x22 200 400 x23 280 400 y1 0 100 y2 10 100 y3 0 100 Variables Coefficients 350 Objective Function 375000 Constraints
Constraint 1 Constraint 2 Constraint 3 Constraint 4 Constraint 5 Constraint 6 Constraint 7 Constraint 8 Constraint 9 –1 –1 –1 2 2 2 –1 –1 –1 1 –1 1 –1
1 1.5 1.5 1.5 Total–100 –400 –500 200 420 420 0 300 420 = =

Case Study
Definitions
BATNA (BEST ALTERNATIVE TO A NEGOTIATED AGREEMENT) = This refers to what, as the seller, you think you could do with another party
(being realistic) in terms of selling your content or product, if this deal fell apart. For the buyer, it's what you think you could do in terms of replacing
the content or product, and the price involved, if the deal fell through.
RESERVATION PRICE = the maximum or minimum
––depending on whether you're the buyer or seller––at which you would be indifferent between
doing the deal, and not doing the deal
If you are the seller, this is the minimum price that you'd take; it's one at which you're indifferent to whether the deal gets done. If it's a dollar less,
you'd prefer to walk; if it's a ... Show more content on Helpwriting.net ...
2) What is NBC's BEST ALTERNATIVE TO A NEGOTIATED AGREEMENT
(otherwise known as BATNA, ie, what they'd do if they can't reach
agreement)? What is Paramount's BATNA?
3) What is your best estimate of the parties' RESERVATION PRICES (ie, the maximum or minimum
––depending on whether you're the buyer or
seller––at which you would be indifferent between doing the deal, and not doing the deal)?
4) Is there a ZONE OF POSSIBLE AGREEMENT (also known as ZOPA, ie, the bargaining range) . . . did it change during the negotiation?
5) Describe how you think value can be created in this negotiation, and who is likely to get the most value.
6) What obstacles might prevent agreement here?
7) How should Mark Graboff (lead negotiator for NBC) judge success in this negotiation? As President of NBC West Coast (his boss), how would you
want to compensate him for doing deals like this?
I'm going to give you three options for this final:

– you can answer the above, solo (paper should be min of 4,000 words)
– you can team up with one of your classmates (joint paper should be a min of 6,000 words)
– if you have a specific work–related alternative negotiation/deal that you want to do an analysis on, let me know and we can discuss
You paper will be due by Friday, Dec 20st, though early submissions are encouraged!! Any questions should be posted to the Midterm/Final Q&A

Fulton School Application Essay
General Application for Fulton Schools
Personal Statement
The personal statement is used by the scholarship committee and/or donor to get to know you better. Your personal statement should outline your
academic and career goals, both current and future. You should also explain how this award will assist you in achieving these goals both
financially and academically. (At least 50 words minimum, no set maximum.) Once as a small child, I flew first class with my mom. I was too
young to remember where we were flying, or even how old I was. What I do remember is being in invited by the pilot into the cockpit, and seeing the
sky with the top of clouds below. From then on, I wanted flight to be a significant part of my future. At first I thought I would be a pilot, but though my
high school engineering class, I became deeply interested with the design of engineering. That interest in the design process combined with my deep
fascination with aerodynamics, leading to my major: aerospace engineering (aeronautics). Along with engineering, I have a deep interest in
sustainability and environmental protection. Most of my life was spent on tropical islands, being born in the Philippines and schooled in ... Show more
As a group, we work to find applications of the newly invented 3D printed "polymagnets" by Correlated Magnetics. Currently, we are designing a
magnetically suspended flywheel for satellites using the special properties of polymagnets. The flywheel will take advantage of the precision of and
flexibility of the 3D printed magnets be frictionless and introduce less moving parts, and therefore less mechanical complexity, into the design of
satellite flywheels. In the team, I work with two others in designing the geometries of the magnetic design to be 3D printed, and also the implementing
an axial flux motor into the design of the flywheel in order to be controlled by the satellite to adjust its

Questions On Information Technology Procurement
HINF 351: Information Technology Procurement
Assignment #3: Analyzing a Real RFP
Client Registration Services
Emily Chen, Justin Gill, Mika Moric, Maggie Sun, Chloe Yao
1.Introduction
Northern Health Authority (NHA) currently seeks an integrated clinical information system to close the gap when it comes to information access and
communication across the health authority. Inefficiencies in regards to client registration and integration of Admission Discharge, Transfers within
additional applications in use within the health Authority has lead ADT and Client Registration to be determined as a top priority for the initial
implementation. This document offers an evaluation of the RFP from both a client perspective and the receiving vendor perspective. Qualitative and
Quantitative criteria will be determined as a means for scoring potential vendors and separating essential, nice to have, and unique requirements from
both perspectives. Understanding the RFP from both perspectives allows for a holistic view of the procurement process NH will undertake that must be
met to ensure collaborative and efficient partnership.
2. Critical Analysis (HCA)
2.1. Qualitative Criteria
CriteriaDescription
AccessibilityA high score will be awarded to the vendor who presents a system that allows for accessibility from a wide range of geographical
regions. Admitting clerks should be able to remotely access the system from a variety of different locations. Restriction of

A Study On The Mammalian Diving Reflex
Introduction: The mammalian diving reflex represents a primary physiological mechanism to maximize underwater excursions in air–breathing
animals. Traditionally, the oxygen–conserving reflex consists of three metabolic and cardiovascular adjustments: (1) notable bradycardia; (2) selective
peripheral vasoconstriction; and (3) increased blood flow to the viscera (Kawakami et al., 1967). Previous studies have observed such a response in
birds and mammals, generalizing the considerable reduction of heart rate, or 'diving bradycardia,' as indicative of the response (Butler, 1982). The
evolutionary success of these diving animals relies partly on the functional significance of reducing metabolic demands to prologue underwater
survival. Although ... Show more content on Helpwriting.net ...
Moreover, Gooden (1994) describes apnea as an essential element to the diving reflex; it ensures not only the prevention of water inhalation, but also
acts as an energy–saving device through decreasing nerve stimulation to the diaphragm and intercostals. Therefore, heart rate will be monitored under
both experimental conditions and compared to the resting rate and apneic–resting rate. As a profound autonomic phenomenon, further establishment of
the diving reflex in humans will shed light on the preservation of the reflex and its role in the survival during 'near–drowning' experiences. Only by
examining the physiological response in humans can we appreciate the evolutionary significance of this innate neural circuitry.
Methods:
An untrained 22–year–old male human subject was chosen. A PT–104 pulse plethysmograph was wrapped around his dominant (right) index finger.
Connected through a IXTA data acquisition unit, heart rate was monitored on LabScribe. The recordings were measured with ten seconds of leeway at
the beginning and end to allow baseline pulse recovery. Digital marks labeled the time interval of the described action. First the subject's heart rate was
measured during a resting phase for twenty seconds. He was encouraged to relax and remain inactive in order to confirm an accurate baseline reading.
For the apneic condition, the subject repeated this

Walmart As Rational Organization : Walmart
Walmart as Rational Organization: The first article that I read was entitled, "Walmart's entire business model is crumbling" by Lutz. This article is
about how Walmart is doing as a business which isn't that good. The reason behind this is that people have turned to Walmart competitors to do their
shopping. The article goes on to talk about Walmart shift in focus to e–commerce and Walmart's raise in minimum wage to nine dollars. They hope that
these steps will help increase profit. The second article that I read was entitled, "How Wal–Mart plans to lure shoppers back to stores" by Hayley
Peterson. Its no surprise that over the last couple of years Walmart business has declined and some store front have even failed. For many Walmart
is no longer their primary grocery store instead they are going to other stores. (ex. Trader Joes, Publix) The article by Peterson, describes how
Walmart plans to increase sales and "store traffic" by describing their three goals for this year. The first goal is to, "Improve the Customer
experience" they plan on doing this by improving customer service within the store (faster checkout lines, store fully stocked). The second goal is
"beat competitors on price" Walmart is known for its low prices and competing with other stores. They have introduced an app that allows you to scan
your receipt after shopping at Walmart. The app then checks surrounding stores to see if any stores had a lower price on any of the items that you
purchased. If a

Hrm/531 Week 1 Free Rider Problem
Hey Theodore, I am glad that my help has landed you an internship. I can see where you would be stuck on figuring out how to start the problem.
Let's take it one piece at a time. The first part I would like to focus on is the limв”¬(rв†’R^– )вЃЎv where v=–c(r/R)^2*lnвЃЎ(r/R). This may look a
little daunting at first, but if you assign R and c a random number then you can get a simpler problem to solve first. I assigned R the value of 5 and c
the value of 2 since R and c are constants for the function that have no yet been assigned a value. Now, we can plug those values in and solve for the
limit. limв”¬(rв†’R^– )вЃЎгЂ––c(r/R)^2*lnвЃЎ(r/R) гЂ—
Plug in 2 for c and 5 for R limв”¬(rв†’5^– )вЃЎгЂ––2(r/5)^2*lnвЃЎ(r/5) гЂ—=
Now evaluate the limit at 5
=–2(5/5)^2*lnвЃЎ(5/5)
=–2(1)^2*lnвЃЎ(1)=–2*0=0 Since we solved it by plugging in random numbers for c and R, we should now do the general form of the problem
without plugging in number. limв”¬(rв†’R^– )вЃЎгЂ––c(r/R)^2*lnвЃЎ(r/R) гЂ—
=–c(R/R)^2*lnвЃЎ(R/R)
Since a constant over the same constant equals 1, you can see that R/R=1.
=–c(1)^2*lnвЃЎ(1)=–c*0=0
Now that you have the answer to how the limit acts when approaching from the left. It is time to look at the second part of the problem where we
should find limв”¬(rв†’0^+ )вЃЎгЂ––c(r/R)^2*lnвЃЎ(r/R) гЂ—. We can set up an easier limit to solve by substituting 2 in for c and 5 in for R again
like ... Show more content on Helpwriting.net ...
Now that we have figured that out, we use the second derivative test to see what the maximum is. The second derivative test is when you find the
second derivative of the function and then plug in the critical points that you find from setting the first derivative equal to 0. When you find the critical
points though, you need to keep in mind what the domain of the function is because a critical point must be in the domain. The domain of this function
is (0,в€
ћ) since the natural log function does not exist on the negative side of the

Laona??on Modified Spider Monkey Algorithm
In 2015, K. Lenin et. al. [44] in their study "Modified Monkey Optimization Algorithm for Solving Optimal Reactive Power Dispatch Problem"
expressed that to reduce the real power loss, modifications were required in local and global leader phase and a Modified Spider Monkey Algorithm
(MMO) was introduced. Paper also upheld that MMO is more favorable for dealing with non–linear constraints. The algorithm was examined on the
IEEE 30–bus system to minimize the active power loss.
H. Sharma, et al. [45] in 2016, discussed in "Optimal placement and sizing of the capacitor using LimaГ§on inspired spider monkey optimization
algorithm" that to limit the losses in distribution and transmission, capacitors of definite sizes are should have been ... Show more content on
Helpwriting.net ...
In 2016, A. Sharma et. al. [48] presented a paper "Optimal power flow analysis using LГ©vy flight spider monkey optimization algorithm" in which a
LГ©vy flight spider monkey optimization (LFSMO) algorithm was proposed to solve the standard Optimal power flow (OPF) problem for IEEE
30–bus system. The exploitation capacity of SMO was increased in the proposed algorithm. LFSMO was tested over 25 benchmark functions and its
performance was examined. It was found that LFSMO gave desirable outcomes than the original SMO.
In 2017, S. Kayalvizhi et. al. [49] presented a paper "Frequency Control of Micro Grid with Wind Perturbations using Levy Walks with Spider
Monkey Optimization Algorithm." In this paper, a new eagle strategy, which is a combination of levy flights and SMO, is utilized in the optimization
of the gains of PI controllers which helps in regulating the frequency of the micro grid. A typical micro grid test system and a real time micro grid
setup at British Columbia are the two case studies considered, in which the frequency control is implemented. The implementation is done in two–step
search process; in the first place, levy flights do the random search and after that SMO does a thorough local search. Results demonstrate that the
proposed method outperforms the results of other well–known algorithms and is

The United States Political System
Mankind has always undergone trends in a cyclical manor. However, as society presses forward, the relative minima and maxima tend to break the
threshold at an increasing rate meaning that what would be considered normal is shortly lived. Today we live in a society where factions divide
the nation in their plight to achieve an organized force of ideas. The Political parties of the modern era have become far more organized and are
no longer looking to support ideas but are ever hungry to maintain and gain political power rather than represent a people's voice. Our democratic
republic relies on the organized and informed voter to maintain a balance of control between the people and the government. This is argued in
Thomas Edison's 10th federalist paper in which he states, "If a faction consists of less than a majority, relief is supplied by the republican principle,
which enables the majority to defeat its sinister views by regular vote... it will be unable to execute and mask its violence under the forms of the
Constitution. When a majority is included in a faction, the form of popular government, on the other hand, enables it to sacrifice to its ruling passion
or interest both the public good and the rights of other citizens. To secure the public good and private rights against the danger of such a faction, and
at the same time to preserve the spirit and the form of popular government, is then the great object to which our inquiries are directed..." Here we see
the need for

A New Optimization Technique And The Foraging Strategy Of...
In 2002, a new optimization technique was proposed by Passino which is inspired by the foraging strategy of Escherichia Coli (E. Coli) bacteria
present in human intestines called Bacteria Foraging Optimization Algorithm (BFOA) [1]. It is a population–based stochastic search algorithm that has
been introduced to solve the problem related to optimization and control system. Since its inception, BFOA successfully has drawn the attention of
many researchers from diverse fields to exploit its performance as a high–performance optimizer and has been successfully applied in real world
applications such as optimal power control [2], image processing [3], jobs scheduling[4], [5] and etc. The advantages that motivate researchers to
explore its ... Show more content on Helpwriting.net ...
By sending the signal, it enables an individual bacterium to communicate with others. Healthy bacteria will be reproduced and poor foraging bacteria
will be eliminated. The bacteria will keep repeating these processes in their lifetime.
In BFOA, each of the individual bacteria in the search space is representing an individual solution to the optimization problem [6]. Each bacterium will
undergo chemotactic steps to the direction of minimum fitness function (rich in nutrients). During the taxis, each bacterium will communicate with
other to swarm in the group toward the global optimum. Bacteria will be evaluated again according to their health and sorted in ascending order. Half
of them with better health will be reproduced by splitting into two and the other half of poor health bacteria will be eliminated from the search space.
In order to explore more space, some of the bacteria will be eliminated and reinitialized randomly to explore unvisited space in order to find the global
minimum or maximum point. For better understanding, this algorithm mechanism will be explained in solving an optimization problem.
In optimization problem that we need to find the minimum of J(Оё), Оё в€€ в„
њp, where we do not have measurements or an analytical description of
the gradient в€‡J(Оё). This problem is considered as a non
–gradient optimization problem. BFOA does not rely on the gradient function to operate but
use concentration of location of search space as the fitness function. Let Оё be

The Optimal Strategy For Player One
a)The optimal strategy for player one to pursue would be to defect under any circumstance. If player one were to cooperate, that minimum and
maximum return would be one and three respectively. Whereas if player one were to defect the minimum points he or she would earn is two, and
the maximum could potentially be four. b)Like player one, player two would benefit most if he or she chose the strategy of defection. Similar to
the situation in question a, the maximum and minimum reward of defection outweighs the benefits of cooperation. If player two, like player one,
were to choose cooperation, and element of trust must be present if the goal was to yield the maximum three points. It is human nature to be
cautious and therefore, without any communication or social bond, there is no reason to trust the other player. Ultimately, a strategy of defection is
the most practical and rewarding approach to pursue. c)If the player one had no doubt that player two would chose to cooperate, the game becomes
more difficult. Now that the shadow of doubt has been removed from player one's reasoning, the approach behind player one's strategy is primarily
fueled by motives. If player one's motive is to secure the maximum points that he or she should choose to defect, if however, player one's motives
hinge on a belief in ethics or morality than he or she would most likely cooperate. Seeing as the purpose of the game is to "maximize his or her
payout," the most prudent strategy for player

The Importance Of Financial Economics
From the sources of income, it can be seen that expenses eat up 70% of total earning with savings trailing at 30%. Since expenses are tracked by
budget, mechanical and unplanned purchases are eliminated. This means other than on the predetermined expenditure; no money is left for unplanned
events. A particular concern is however focused on the composition of items that form the expenses. High–level prioritizing is Key in achieving
spending rationality that will result in financial success. As such, it is paramount to channel most of the expenditure on items that are deemed primary
in life. Although the view of what falls into the primary and secondary category is subjective and depends on one's level of life, from the... Show more
In the recommended percentage worksheet, most expenses on items fell in range meaning a high level of cost control was achieved. Building a strong
financial clout can be achieved through remarkably splendid savings. The guide sheets in its recommendations in regards to savings put the suitable
percentage at a maximum of 10%. My savings plan surprisingly beats this figure by a whopping 15%. With this, my build up finances will be high,
thanks to the upward trajectory in savings. Transportation is an expense on my part. In the financial world, the goal is to make as maximum benefits as
one can while keeping low the costs encompassed in the process. The recommended percentage rate for transportation expense is capped at 10% as
the minimum. Having kept this expense low, it came at 2.8% lower. At a keener look, one can be able to tell that this cost cut may have been in
part responsible for the increased savings above! Excellent, is it not? Recreation is good and helps one unwind from heavy schedules of life. And it
comes at cost. From the sheet, as much as this expense came within range of the recommended percentage, it sailed closer to the ceiling of 10%,
coming short by only 2%. From here, it can be seen an avenue or source for of funds for other items like health and food by revising it downwards to a

The Theory Of The Mathematics Teacher
"While the rule–taught youth is at sea when beyond his rules, the youth instructed in principles solves a new case as readily as an old one". (Spencer,
1878, p.57)
"What you see and what you hear depends a great deal on where you are standing. It also depends on what sort of person you are". (Lewis, 1994, p.108)
The mathematics teacher builds examples into their arsenal of resources to help demonstrate the mathematical principles they are trying to teach
(Dreyfus, 1994). However, not all examples are equally constructed and provide the same learning experience to the learner. Spencer (1978) believes
that learners who know principles are more prepared than rule–focussed learners to tackle problems. This is the same within mathematics, ... Show more
The methodology will describe how the study will be conducted and why. Observations will be recorded on the process of constructing examples and
how they are employed in the classroom. Percentage examples will be constructed and these will be used in the teaching of percentages to a Year 7
class. Further observations will be made on how the learners approach and conduct the examples. Analysis of the response to these examples will be
made where recommendations will be offered to improve my application as a mathematics teacher. It is intended that this investigation and use of
Variation Theory will improve my understanding of the construction of examples and thus improve the learners' experience.
BACKGROUND
The study was conducted in a Leicestershire high school that accepts learners from year 7 to 9. Year 7s enter directly from several feeder primary
schools and generally leave to join a single upper school where they sit GCSEs. Although it does not take the learners through formal exams,the
school's primary focus is on the preparation to attain qualifications. This means its Scheme of Work (SOW) is fixed to meeting the National Curriculum
(NC).
The class studied is a year 7 mixed ability mathematics class. This consisted of 32 learners with a boy to girl ratio of 2:1. There are several behavioural
issues regards some learners disrupting the class and,

Css Northern Hospital, Technician Roster Essay
CSS NORTHERN HOSPITAL, TECHNICIAN ROSTER
RUSSELL STEWART, WILLIAM ZHI, BRENDAN ROSS
PROBLEM DESCRIPTION
The Northern Hospital has commissioned analysis work to be performed on its current and future resource requirements. The Radiology Department
requires an optimised four–week roster for their CT scanner technicians. In particular, this study presents optimised rosters with minimal technicians
and minimal total hours worked.
The devised roster should satisfy the following requirements:
пѓ The rosters cover 6am to 10pm of each day
пѓ The shifts must be at least 4 hours and at most 8 hours
пѓ There must be at least a 12 hour break between shifts
пѓ In any week, no technician can work more than two shifts that finish after 6pm
пѓ In any week, no technician can work on both days in the weekend
This study also investigates whether improvements can be made by lengthening shift durations to between 6 and 9 hours.
DATA HANDLING
CT scanner allocations were retrieved from the Scanner Allocation Report . The scanner allocations from 2015 to 2025 are shown below:
Table 1 Number of Scanners Operating. 20152016201720182019202020212022202320242025
Out of Hours 11112222223
Regular Hours 33222222222
We have been tasked to provide a roster spanning 6am to 10pm every day. Regular hours in the table above covers 8am to 5pm on weekdays, while out
of hours cover 6am to 8am and 5pm to 10pm on weekdays, as well as the weekends.
MODEL FORMULATION
The problem can be

Drug Dosage Essay
Name: ______________________________________Date: ________________________
Student Exploration: Drug Dosage
Vocabulary: controlled release, dosage, drug, overdose, target organ
Prior Knowledge Question (Do this BEFORE using the Gizmo.)
Suppose you take aspirin for a headache. What happens after you swallow the pill?
The aspirin starts begins to dissolve by the enzymes and are soaked in while traveling down to the stomach. They then are distributed to the areas that
need the pain relief.
Gizmo Warm–up
A drug is a substance that causes changes in how your body functions. When you swallow a pill, the pill dissolves in your digestive system and the
drug is absorbed into your bloodstream. Many drugs are designed to ... Show more content on Helpwriting.net ...
Calculate: How long does it take for the blood concentration to go from the maximum recommended value to the minimum recommended value? It
takes about 4 hours
5. Predict: How often do you think the patient should take a pill? Every 2 to 4 hours
6. Test: Click Reset. Run a simulation with this dosage schedule for at least five pills, and then click Pause. Observe the results of your dosage
schedule on the GRAPH tab.
A. What was the maximum blood concentration of the drug? Above 50
B. What was the minimum blood concentration of the drug? 30

C. Based on the graph, was the dosage too high, too low, or just right? Explain.
The dosage was to high for the patient because the chart started going over the regular normal level
7. Record: Click the camera ([pic]) to take a snapshot of your graph, and paste the image in a blank document. You will turn in this document with this
worksheet. Label the image with the pill type and dosage schedule.
8. Revise and repeat: Continue to experiment until you have determined the ideal dosage schedule for this patient. Remember, an overdose is more
dangerous than an under–dose!
What is the ideal dosage schedule for pill A? About 3 pills
9. Record: Take a

Delectation Delicatessen Essay
Homework Problem Set #1
Delectation Delicatessen
Problem a)
Answer:
Delectation wants to determine the number of Fish–n–Fowl and Surf–n–Turf sandwiches it should make each day to maximize the deli's revenues in
USD$. The decision variables are how many units of Fish–n–Fowl and Surf–n–Turf sandwiches Delectation should make each day.
F= units of Fish–n–Fowl sandwiches Delectation should make each day. S= units of Surf–n–Turf sandwiches Delectation should make each day.
The objective function: maxmize F x 5.50 + S x 6.95
The Constraints: 0.25 x F + 0.25 x S<=200| Tuna fish salad | Pound| 0.5 x F <=260| Sliced turkey| Pound| 0.40 x S <=60| Sliced roast beef ...
Show more content on Helpwriting.net ...
And Plant A losing production capacity will not change this fact. So only Plant B will increase its production by 100 untis to make up the loss of
capacity in Pant A. 2.The transportation costs for A to region 1 and 2 are $1.50 and $2.10. The difference is $0.70. The transportation costs for Plant B
to region 1 and 2 are $2.35 and $3.55. The difference is $1.20. Since $1.20>$0.70, Plant A will reduce its production and shipment to region 1 by
100 untis and Plan B will produce $100 units more and ship to region 1.
Problem b) 50 cents increase in unit transportation cost between plant A and region 2
Answer:
Production and shipment plan will not be changed because the allowable increase of objective coefficient of "from plant A to region 2" is 60 cents.
The 50 cents change is within the limit so it will not change the production and shipment plan. So it will only increase total cost by $450 as 900x$0.5.
Problem c)
Answer:
The additional revenue will cover the cost. The reasons are: First only Plant B has available capacity to cover the 80 additional units. Second, 80
additional units is within the allowable increase range of plan B so

The Rockwell Collins Satellite Transportable Terminal
The Rockwell Collins Satellite Transportable Terminal (STT) is an important satellite for the signal branch that is used to make communications
virtually anywhere. A suspension system needs to be put into the STT so that it will not be damaged while being loaded and transported. There are
three shock systems available with different spring constants and damping coefficients. The three shock systems are called Air Coasters, Cloud
Riders, and Extreme Shocks. A HMMWV was being tested when it began bouncing up and down, so the soldiers operating the vehicle shut it down
for fear of it breaking down. Some engineers re–fired the gun so they could take measurements of its displacement from the ground in order to
understand what was happening, but they only took measurements for 60 seconds before they shut it down.
Free Dampened System – Loading the Trailer The suspension system can be modeled using the following equation: m (d^2 x)/(dt^2 )+ОІ dx
/dt+kx=f(t) x(t) is the displacement from its rest position in meters, m is the mass of the object in kilograms, ОІ is the damping constant in kg/second,
k is the spring constant in kg/sec2, and f(t) is the external force in Newtons (N). The mass of the satellite is 1800 kg and the satellite is at equilibrium
when the trailer is loaded. Before the trailer is loaded, the displacement of the shocks is 0.05 meters, so the starting displacement is 0.05. The
critically–damped value of each shock is calculated in Appendix A. The Air Coasters

Using Adaptive Response Surface Regression
3 Methodology
The developed optimisation routine makes use of adaptive response surface regression to use a limited initial amount of FE models to feed an
optimisation routine which is specifically designed for general thermal problems where parameters linked to the general heat equation can be optimised
or estimated using experimental input data. The algorithm uses a pan and zoom function to move through the design space and delivers faster
predictions with fewer iterations than standard updating routines [35, 41].
3.1 Adaptive response surface method
The adaptive response surface optimisation routine is used to optimise numerical models with lots of data points and the time reducing by the algorithm
increases as the number of parameters rises [40]. The routine is designed to handle multiple–output time series data [35]. The optimisation procedure
can be divided into the following steps:
1. Starting reference simulation points is running and a correct object function is built of the difference between the FE model and the target value
(experiment or validation model).
2. The FE model is replaced by a meta–model of response surfaces to decrease the optimisation time but remains an accurate approximation.
3. The optimisation routine is run on a specific object function. It is possible to use multiple objective functions or build an objective function related to
multiple outputs.
4. The estimated parameter values are used as input parameters for a new FE model that

Using Adaptive Response Surface Regression
3 Methodology
The developed optimisation routine makes use of adaptive response surface regression to use a limited initial amount of FE models to feed an
optimisation routine which is specifically designed for general thermal problems where parameters linked to the general heat equation can be optimised
or estimated using experimental input data. The algorithm uses a pan and zoom function to move through the design space and delivers faster
predictions with fewer iterations than standard updating routines [35, 41].
3.1 Adaptive response surface method
The adaptive response surface optimisation routine is used to optimise numerical models with a lot of data points and the time reducing by the
algorithm increases as the number of parameters rises [40]. The routine is designed to handle multiple–output time series data [35]. The optimisation
procedure can be divided into following steps:
1. Starting reference simulation points are ran and a correct object function is built of the difference between the FE model and the target value
(experiment or validation model).
2. The FE model is replaced by a meta–model of response surfaces to decrease the optimisation time but remains an accurate approximation.
3. The optimisation routine is run on a specific object function. It is possible to use multiple objective functions or build an objective function related to
multiple outputs.
4. The estimated parameter values are used as input parameters for a new FE model that corrects the

Mcv4ua Practice Test Essay
Calculus and Vectors MCV4U–A
Practice Test
Time: 2 hours
Total Marks: 101
Final Test Score _____ Г· 101 Г— 100 = _____%
Instructions
There is a label attached to this page. Compare the course code on the label with the course code printed on the Final Test to make sure that they are
the same. Inform the Final Test supervisor immediately if they are not the same. The Final Test pages are numbered 1 to 13. Check to see that all
thirteen pages are attached. Inform the Final Test supervisor immediately if there are any pages missing.
You may use a calculator during the Final Test. You may not use any books or notes.
You must write your answers in the space provided.
There are two parts to the test. A breakdown of the marks... Show more content on Helpwriting.net ...
(7 marks)
d)Indicate the intervals where the graph is concave up and concave down. (2 marks)
e)Sketch the graph of the function. (3 marks)
www.ilc.org
Copyright © 2008 The Ontario Educational Communications Authority.All rights reserved.
page 8

Practice Test
9.
An open–topped cylindrical water reservoir has a volume of 320ПЂm3.
2
The material used for the bottom of the reservoir costs $5/m and the
2
material used for the vertical portion costs $8/m . Determine the radius and the height of the cylinder so that the cost is a minimum.
2
2
(Volume = ПЂr h and Surface area = ПЂr + 2ПЂrh) (8 marks)
Copyright © 2008 The Ontario Educational Communications Authority. All rights reserved.
www.ilc.org
Practice Test
page 9
Part B: Vectors (39 marks) (approximate time: 40 minutes)
10.A chandelier with a weight of 100 N is suspended at a single point by two cables that make angles of 45В° and 60В° with the ceiling. Calculate the
tension in each cable. (8 marks)
в†’
в†’
11.Find the angle between the vectors u = (–5, 1, 3) and v = (–2, 1, –2).
(5 marks)
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Copyright © 2008 The Ontario Educational Communications Authority. All rights reserved.
page 10
Practice Test
12.Determine the scalar, vector, and parametric equations of the plane that passes through the points A(1,–1, 2), B(0, –1, 1), and C(1, 2, 1).
(9 marks)
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The Mathematical Formulation Of An Objective Function
Task 1 The mathematical formulation Description: To establish the model, firstly we should decide the objective function. Analyzing the problem at
hand, we are supposed to balance the goals of maximizing the delivery to tumor area and minimizing the delivery to the critical area. Since we have
two objectives, we should choose one as objective function, and another to be satisfied by relative constraint. Considering the real life situation, the
ultimate goal is improving the health of the patient, which means, any solution that kills the tumor but is harmful to patients is not allowable. So we
chose minimizing the radiation aimed at critical area as our objective function. Therefor our objective just minimizes radiation aimed at the critical
area, which we defined before. Set R The set of rows C The set of columns B The set of all beams Parameters b_(i,j)^r r пѓЋ B, i пѓЋ R, j пѓЋ C
Beam intensity from beam r at point (i, j) c_(i,j) i пѓЋ R, j пѓЋ C binary parameter for critical area( 1 for (i, j)in critical area) t_(i,j) i пѓЋ R, j пѓЋ C
binary parameter for tumor area( 1 for (i, j)in tumor area) min_limit minimum radiation on tumor area max_limit maximum radiation on critical area
Variables W_r r пѓЋ B intensity of each beam r Minimize: в€‘_(rв€€B)в
–’в€‘_(iв€€R)в
–’в€‘_(jв€€C)в
–’W_r *b_(i,j)^r*c_(i,j) Minimize radiation to

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