Electric vehicle Essay Example for Free

Electric vehicle Essay 1. Summarize the content of this movie. Keep it to the space below, please. Electric car was around in 1960s. During the energy crisis in 1970s and 1980s electric cars started disappearing. In 1990s first electric car EV1 from a company named General Motors became popular in California simply because it was more environmental-friendly while it was affordable. A Zero-emissions vehicle mandate require companies to offer electric cars if they wanted to continue selling gasoline vehicles. The oil industries were fighting against the electric cars. Less people wanted to use it in that they wanted to pay less for electric cars which were limited. California dropped the mandate after getting sued by auto-makers. Drivers protested to try to save electric cars. There was almost no demand for GM’s electric cars. In a survey, 4000 said they would drive an electric car but at the end it narrowed down to only 50. GM started taking back EV1s from the drivers to be crushed and recycled. The last consumer EV1 was given up by its driver in 2004. Someone put her last effort to put EV1 back to the road; within 48 hours, 80 people signed up to get an EV1 while GM only had 72 cars. There were several suspects about the situation with GM. GM stated that there was no demand in the market for those electric cars, but several interviews with consumers showed that people wanted those electric cars. Another suspect was batteries. The batteries that EV1s had at the time were acid batteries with 60 miles of range. Average driving distance of Americans was less than 30 miles per day which meant EV1s would actually satisfy consumers. The EV1s made later which was the second generation came with better batteries that lasted around 100 miles. Oil companies were financing campaigns to stop the utility efforts for building public charging stations. President George W. Bush joined the auto industries to go against the ZEV mandate. Hydrogen fuel cars were introduced in the film as well. The problems with hydrogen fuel cars were high cost and limits on driving distance range. People who were trying to save the EV1s from being crushed got arrested from police officers. People who were being interviewed in the film think that we will be entering a clean world with bright future with electric cars. An example is that electric cars are working just fine in Japan. 2. Would you buy an electric car? Why or why not? As a civil engineering major student, I’m concerned about the environment that we’re living in. I would definitely buy an electric car. I’m not only doing this for my son or daughter in the future but for every single person on earth. And I believe it is everybody’s responsibility to protect the earth. 3. Answer on the back of this sheet. Search for an electric car in production today. Who makes it? How much does it cost? Does it use any fuel? What is the battery life? How long does it take to charge? Would you buy one? Why or why not? Find out as much about it as you can. Be VERY thorough. Nissan Leaf manufactured by Nissan. Nissan Leaf has a starting price of $27,700. It doesnt not use fuel but only electricity. It takes around 7 hours for a full charge on Nissan Leaf. This is someone I would not be interest buying because it is too small of a car. I would get an electric car but bigger size.

3-D Magnetic Data Inversion with Physical Bound

3-D Magnetic Data Inversion with Physical Bound A new method Mohammad Rezaie1*, Sahar Moazam2 1 PhD in mineral exploration, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran. 2 MSc in mineral exploration, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran. Abstract Inversion of magnetic data is an important step in the interpretation of practical data. Smooth inversion is a common technique for inversion of magnetic data. Physical bound constraints can improve the solution of the magnetic inverse problem. However, how to introduce the bound constraint into the inversion procedure is important. Imposing bound constraints makes magnetic data inversion a non-linear inverse problem. In this study, a new algorithm for 3D inversion of magnetic data is developed which use an efficient penalization function for imposing bound constraints and Gauss Newton method to achieve the solution. An adaptive regularization method is used for choosing regularization parameter in this inversion approach. The inversion results of synthetic data show that the new method can produce models which adequately match with real location and shape of synthetic bodies. The test carried out on the field data from Mt. Milligan Cu-Au porphyry deposit shows that the new inversion approach could produce the magnetic susceptibility models consistent with the true structures. Keywords: Magnetic data, Inversion, physical bound, Gauss Newton, Regularization. 1. Introduction Magnetic surveys can provide useful information about the Earths interior. Magnetic measurements are usually used to delineate magnetic anomalous bodies and indicate their locations and depths. One of the most important topics in the quantitative interpretation of potential field data is the inversion of practical data (Rezaie et al. 2015). Inversion can be defined as a mathematical procedure that constructs a subsurface property (susceptibility) model using measured (magnetic) data by incorporating a priori information as available. The recovered models must predict the measured data adequately (Foks et al. 2014). 3D inversion of potential field data such as magnetic data is generally difficult (Jin et al. 2013). The main difficulty is the non-uniqueness of the solution in magnetic inverse problem. There are infinite equivalent source distributions that produce the same measured magnetic data set (Blakely 1996). The standard approach to overcome this issue is applying a priori infor mation. Several approaches have been introduced for incorporating priori information into the inversion process (Last and Kubik 1983; Barbosa and Silva 1994; Li and Oldenburg 1996, 1998, 2003; Pilkington 1997, 2008; Portniaguine and Zhdanov 1999; Farquharson 2008; Lelievre et al. 2009; Zhang et al. 2015). Last and Kubik (1983) developed the compact inversion method which produce compact and structurally simple model. Guillen and Menichetti (1984) minimize the moment of inertia of the body with respect to the center of the body or along single axis passing through it. Barbosa and Silva (1994) generalize the moment of inertia functional to impose compactness along several axes. Li and Oldenburg (1996, 1998) developed a model objective function that produce smooth models. This method can locate anomaly sources accurately nevertheless, the values of the recovered model are smaller than the true values due to the smoothness effect of the objective function. Portniaguine and Zhdanov (1999) developed a focusing inversion method based on compact inversion method for potential field data. Barbosa and Silva (2006) developed an interactive method for inverting magnetic data with interfering anomalies produced by multiple, complex, and closely separated geologic sources. Farquharson (2008) used L 1 measure of Li and Oldenburgs model objective function to recover dipping structures and models which have angled interfaces.   Lelievre et al. (2009) used Li and Oldenburgs (1996, 1998) model objective function and developed advanced constrained inversion by geological information. Zhang et al. (2015) improved Li and Oldenburgs method by applying Lagrangian multipliers in the model objective function to add geological constraints. In the 3D inversion of potential field data, particular bounds of the physical property may be known. This physical bound constraint can improve the solution and make it more feasible (Rezaie et al. 2017a). Consequently, how to introduce the bound constraint into the inversion procedure becomes an important issue. Portniaguine and Zhdanov (1999, 2002) used a penalization algorithm to impose bound constraint in focusing inversion of potential field data. Li and Oldenburg (2003) chose a logarithmic barrier method incorporating bound constraints on the re covered smooth model. Zhang et al. (2015) imposed bound constraint in smooth inversion of potential field data via a method using Lagrangian multipliers. However, imposing bound constraint makes magnetic data inversion a non-linear inverse problem. Therefore, the logarithmic barrier and Lagrangian multipliers methods increase computation time. Another issue in solving non-linear inverse problem is choosing regularization parameter that can increase computation time (Farquharson and Oldenburg, 2004). In this study, we develop a new 3D magnetic data inversion method based on the Gauss- Newton (GN) algorithm that can incorporate bound constraints on the recovered model using penalization algorithm introduced by Portniaguine and Zhdanov (1999, 2002). Also, we will use an adaptive regularization method for regularization parameter selection in our magnetic data inversion method. Finally, the capabilities of the proposed method are illustrated by its application to the inversion of a synthetic data set and to the 3D inversion of magnetic data from the Mt. Milligan deposit at British Columbia, Canada. 2. Methodology 2.1. Forward model for 3D magnetic anomalies Susceptibility distribution in the sub-surface () produce magnetic field (T) at the surface. The purpose of forward modeling is to compute this magnetic field. The total component of the magnetic field is given by (Blakely 1995): (1) where (Henry.meter-1), R denotes the volume occupied by causative body. is distance and is magnetization vector which can be obtained as a vector sum: (2) where is earths magnetic field and is remanent magnetization. If we ignore remanent component, the magnetization will be in the direction of the earths field and can be obtained simply as: (3) To compute total component of the magnetic field in Eq. (1), it is required to discretize the subsurface under the survey area into rectangular prisms of known sizes and positions with constant susceptibilities. The formulation for computation of magnetic response for each rectangular prism was presented by Bhattacharyya (1964) and later simplified into a form that is more suitable for fast computer implementation (Rao and Babu 1991). We use the formulation developed by Rao and Babu (1991) to compute magnetic response resulting from individual prisms. If the observed magnetic anomalies are caused by M subsurface prisms, the magnetic field at the field point i is given by: (4) where N is the number of observation point. The forward modeling of magnetic data using Eq. (1) and Eq. (4) can be written as following matrix equation: (5) Here, G is forward operator matrix that maps the physical parameters space into the data space. denotes the vector of unknown model parameters and is data vector that is given by measurement data. There are some error in measurement data because of noise that is usually assumed to be uncorrelated and have Gaussian distribution (Rezaie et al. 2017b), So (6) where, is vector of observed data and is vector of data error. The main purpose of the magnetic inverse problem is to find a geologically plausible susceptibility model ()based on G and some measured data () at the noise level. 2.2. Inversion method In the typical minimum-structure inversion procedure, subsurface of the survey area is discretized into rectangular prisms (cells) of known sizes and positions with the values of the physical property (e.g. susceptibility) in the cells that are called the model parameters to be estimated in the inversion (Rezaie et al. 2015). The solution can be obtained by minimization of an objective function, which is a combination of a measure of misfit between observation and predicted data and a measure of complexity of the model subject to a physical bound constraint (Li and Oldenburg 1996): (7) where is a regularization parameter. L is lower susceptibility bound, U is the upper susceptibility bound and the misfit functional is defined as (8) Here, is data weighting matrix given by . Where,stands for the standard deviation of the noise in the ith datum, and is a stabilizing functional (stabilizer) which measure minimum norm of model structure (Li and Oldenburg 1996, 1998, 2003): (9) where are coefficients that affect the relative importance of derivative components in different directions. resembles first-order finite-difference matrices in x, y and z directions. We have to use an additional depth weighting matrix for compensating lack of the data sensitivity to the deeper model parameters (Zhdanov 2015): (10) Now, Eq. (9) can be reformulated to apply the depth weighting matrix to the objective function. (11) where is the cumulative first-order finite-difference matrix. Eq. (7) is reformulated using matrix notation to incorporate depth weighting easily: (12) where and . Eq. (12) is transformed into a space of weighted model parameters by replacing the variables and (Rezaie et al. 2017a): (13) The solution of Eq. (13) is obtained according to the regularization theory similar to the classical minimum norm optimization problem (Tikhonov et al. 1977). The solution of the magnetic inverse problem is obtained by minimizing this equation using the GN method. The upper (U) and lower (L) susceptibility bounds can be imposed during the inversion process to recover more feasible model. If an achieved susceptibility value falls outside the bounds, the value at that cell is projected back to the nearest upper or lower susceptibility bound (Portniaguine and Zhdanov 1999). To solve Eq. (13) with GN method, assume the obtained solution denoted by at the (n − 1)th iteration, and the predicted data corresponding to this model are .Then at the nth iteration, a model perturbation can be achieved by solving following equation so that the inverted model can be updated by (Aster et al. 2013): (14) where is the regularization parameter in nth iteration. Then the solution of the inverse problem in Eq. (7), is given by (15) In order to recover a more feasible model of the subsurface, upper (U) and lower (L) physical bounds of susceptibility are imposed in each iteration to force. If a given susceptibility value falls outside the bounds, the susceptibility value of that cell is projected back to the nearest physical bound value. The solution to Eq. (14) is also equivalent to the least-squares solution of (16) The least-squares solution of the Eq. (16) is obtained by a fast iterative method such as Lanczos Bidiagonalization (LB) (Pagie and Saunders 1982) at each GN iteration. therefore, the proposed algorithm would be suitable for large scale problems (Rezaie et al. 2017a,b). The GN iterations stop when the RMS misfit reaches an acceptable level or the model corrections become small enough (Pilkington 2008). We have used an adaptive method for choosing regularization parameter similar to which was proposed by Farquharson (2008) which is a fast and efficient algorithm for choosing regularization parameter. The regularization parameter is started at 100 () which is a relatively large value. If an inversion is performed with the regularization parameter fixed at this value, a model would be produced that had a small amount of structure and predicted data under fit the observations. At each iteration, the regularization parameter is damped to give a slow but steady progression of models with increasing structure and decreasing data misfits: (17) where    based on empirical experiments. 3. Synthetic test We apply our algorithm to a synthetic test to evaluate the reliability of the introduced method. The synthetic model consists of two different blocks with dimension 200 m 200 m 200 m which are embedded beneath the surface so that susceptibility of uniform background is zero. The Susceptibility of each block is 0.06 (SI). Perspective view of the true model is displayed in Fig. (1a). Fig. 1 perspective view of the synthetic model with 2 blocks (a). Magnetic anomaly produced by the synthetic model with 5 % Gaussian noise of the accurate datum magnitude. Depth to the top of the shallower block (block (1)) is 50 m and depth to the top of the deeper block (block (2)) is 100 m. The total-field anomaly data have been generated above the surface assuming an inducing field with inclination (I) of 75, declination (D) of 25 and a strength of 50000 nT. The data generated over a grid of 1000 m 1000 m with sample spacing of 25 m. There are 1600 data and 5 % Gaussian noise of the accurate datum magnitude has been added (Fig. 1b). The subsurface is divided into 40 40 20 = 32000 rectangular prisms with the same size of 25 m for inversion. The inverse problem has been solved using the proposed method that is described in the preceding section (). The solution obtained after 5 iterations with RMS of 0.05. Fig. 2 shows a plan section and a cross section through the recovered model from proposed inversion method. The result indicates acceptable smooth reconstruction of the synthetic multisource blocks at different depth levels below the surface. The recovered bodies in the model are smooth and adequately matched with real location of synthetic bodies. Fig. 2 Plan sections through the recovered susceptibility model obtained from the 3D inversion of magnetic data at depth= -125 m (a). A cross-sectional slice of the susceptibility model at Northing= 500 m (b). The borders indicate the true position of each body. 4. Inversion of field data Mt. Milligan is a Cu-Au porphyry deposit situated in central British Columbia. Geological information obtained from a major drilling program show the host rocks of the deposit are Mesozoic volcanic and sedimentary rocks and contain intrusive monzonitic rocks that have accessory magnetite. There is an intensive hydrothermal alteration primarily in the region near the boundaries of the monzonite stock. The monzonite body is known as the MBX stock (Oldenburg et al. 1997). The copper and gold are concentrated in the potassic alteration zone, which is mainly around the contact of the monzonite intrusions (MBX) and may extend outward and into fractured volcanic rocks. However, magnetite is one of the strong indicators of the potassic alteration. In this region, magnetic data are acquired at 12.5 m spacing along lines in the east direction that spaced 50 m apart (Li and Oldenburg 1996). We use the data at 25 m spacing which yields 1920 data points. The reduced magnetic anomaly map is shown in Fig. (3). Fig. 3 The magnetic anomaly map of Mt. Milligan. The data are on 25 m 25 m grid. The direction of the inducing field is I= 75 and D= 25.73 with a strength of 58193 nT. It is assumed that each datum have an error whose standard deviation is equal to 5 percent of its magnitude (Li and Oldenburg 2003). To invert these data, the subsurface of the area is discretized into 48 40 18 = 34560 cells each of size 25 m. The positivity constraint was imposed which means lower (L) physical bounds of susceptibility are set to 0 SI. The solution is obtained after 112 iteration with RMS error of 0.05 which is about the predicted noise of the data. The recovered model is shown in Fig. (4) as one plan-section and one cross-section. The true edge of MBX stock and mineral assemblage which were derived from the drilling results overlaid on the cross-section. Fig. 4 The recovered susceptibility model shown in a plan-section at the depth of -80 m (a). A cross-section at the northing of 600 m overlaid by true boundary of monzonite body (MBX) with black line and mineral deposit with red shaded polygon (b). The results indicate that the anomalous body of magnetic susceptibility highs are mostly associated with the monzonite intrusion. There is a moderate anomalous body at the center of cross-section which is probably caused by magnetite content of potassic alteration. This area coincides with mineral deposit. Thus, the obtained solution is in a good agreement with true geologic boundaries of Mt. Milligan deposit. 5. Conclusions We have developed a new algorithm for inversion of magnetic data using Gauss Newton method. In each GN iteration LB method is used for solving least- square problem. Therefore, the proposed algorithm is efficient for large scale problems. We used an adaptive regularization method for choosing regularization parameter in each iteration which is a fast and efficient method for choosing regularization parameter. In the new algorithm, the physical bound constraint can be imposed during the inversion process via penalization function which does not need any transformation. Therefore, this method of imposing bound constraint is more efficient. The obtained results show the new developed 3D inversion method is able to produce a smooth solution which define the shape and extent of synthetic bodies adequately. Furthermore, the application of this inversion algorithm for a field magnetic data from Mt. Milligan deposit produced a model that is consistent with the available geological information. Compression methods such as wavelet compression which can compress the kernel matrix and using parallel programing that decrease the required memory and computation time will be subject of future works for large scale problems.

Economic Conditions And Effect To Airlines Industry Tourism Essay

Economic Conditions And Effect To Airlines Industry Tourism Essay Airlines industry is a huge and growing industry. It is known as a services provider industry. Airline is not just only the airplane; it includes many elements like business aircraft, military program, and recreational aircraft and it provides services to passenger or cargos. The outcome of growing and the working of airlines industry are always unexpected because it is full of challenge and variables conditions. Air travel industry is a special industry to the global, because it is always grow along with the economics. Somebody describes the importance of airlines industry as no airlines, no globalization, and no new era, this has showed how much is the importance airline industry to us. Airlines industry is a complicated industry; we briefly say that airlines industry is under an oligopoly market structure. The explanation of oligopoly is an economic condition that only few service or product suppliers in the market and one of the supplier actions can perceive significant impact from its competitor in the same market. Thus, since a firm of carriers provides a new action and it will always taken by competitors, and soon affect the outcomes of whole market, therefore, firms in this industry are interdependent and airlines industry is a high competition market. It is also one of the most fragile industry, many things can affect their performance from SARS, 911, economic crisis and even weather conditions. The airlines industry has seen some positive effect currently which resulted in them forecasting a better forecast. Many factors could have affected the changes; we will discuss some of it below Changes in economic conditions and effect to airlines industry. As the world pick up from the economic crisis the traffic increases significantly. The demands for business travelers to individual travelers went up. During the economic crisis most carriers gone through restructuring and implement cost cutting measures so when the business pick up they will see that their profit margin is better than what they use to have before the crisis. Currently, the economy is expected to post up a profit of 2.5 billion for 2010 as it is recovering from the two years of ailing business. This is due to the increase of passengers, increase of cargo trade and effective cost measures taken my responsible parties to encounter the problem. Which means there is an increase in peoples standard of living as they can afford to travel; therefore there is a tremendous increase in the tourism industry which positively affects the air travel demand. Previously, industry prediction predicted that the economy would encounter a loss of 2.8 billion because assumption made that in 2009 and 2008 which was during the year of economic downturn, there was a loss of 9.9 billion and 16 billion respectively. However, the result was a positive one in 2010 for the airline industry. Passengers traffic has actually increased up to 7.1 % when it was predicted only an increase of 5.6% and that the demand grew twice as the supply. For example, a venture of C$1,805 million at Vancouver airport was approximate to have led to a 5.4% boost in connection with Canada as a whole. Therefore, airline deregulation can help sustain an increase in air transport connectivity as it is spread to industrialize world affecting domestic air travel. The increase in airline operation and services provides a growth of 5 % per year and also an increase of GDP twice as much. Moreover, its also expected to grow for the next ten to fifteen years. It also provides the flexibility for airlines to adjust capacity properly to meet changes in the market demand. By way of example, the expansion in a ir services between Poland and the UK since 2003 has increased connectivity as a percentage of GDP by 27% for Poland, whereas the increase in the UK was a much smaller 0.5%. This shows that there is a long term boost of 634 billion and 45 billion for both countries respectively. Another positive factor which affected the changes in airline industry is the price of fuel. Although there is an increase in fuel price, several airlines such as the southern west airline company does not seem to allow this worldwide issue to affect its company profit and revenue. As the tourism industry is starting to boom and growing faster, travelers and passengers are using flight services very often and if they raise the price of the air ticket, passengers will have to look for another cheaper transportation mode. Therefore, the airline company choose to dissolve their problem by minify the loss through management reinforcement, cost lowering and efficiency improving, but not simply raise the price. Airlines also took the approach differently by looking at similar measures to solve the problem of the increase of price fuel. Todays collection of aircraft is nearly three times more fuel-efficient than the olden days aircraft we were operating at the time of the first OPEC fuel cr isis. In fact, our fuel conservation efforts have resulted in most fuel-efficient automobiles. Therefore, there were changes in cruise speed, use of flight simulators, complicated flight planning systems, increasing load factors and the introduction of newer, more aerodynamic aircraft designs combined with modern engine technology as alternative measurements. With the high technology the world has created, this problem could be solved in different ways and means. Another good example is China encounter the problem of increase of fuel price by reducing domestic fuel price as 80% of their flights are domestic flying. This results in a lower profit and also a lower operating cost and also helps boost the nation airlines. Changes in Government Policies and effect to Airlines Industry Worldwide deregulations and liberalization In the past of the era, air travel industry is strictly controlled by government. No matters what the country is, government always involved in this industry, airlines almost operates and owns by government.Government used to decide how much is the airfares, control the route networks, and other requirements for each airlines company in the country. Now the time goes by, JAPAN, UK, US government start to deregulation their airlines to make the airlines market negotiate the price of ticket and operational requirements as a large free and manage these according to the demand of market. For example, united stated of American has hundred new airline firms enter the market due to result of deregulation. Hawaiian airlines, Delta Airlines, Alaska airlines and Frontier airlines are the airlines available in American State of America. The global deregulation policy to the airlines industry has because the barriers to this industry become lower and make more qualified air travel company to ent er the market. The competition in this market has increased and pricing freedom. Therefore, the supply has increase, will cause the price decrease and demand will increase, because the firms in airlines industry provide better service and incentive to attract the consumer choose airlines service to increase their profit. Despite the deregulation, global government has a trend to [open skies] agreement. These agreement is talking about between the country has a concord that air travel has the rights to fly over the country intermediate and beyond point. From the 1990s, this agreement has become more common. At the April of 2007, United State of American has open skies agreement with European Union and this agreement have provided the right to transport passengers to a foreign country or international, under USA and EU open skies agreement, any airlines from EU and USA will be allow to fly from any city point within the European to any city in United State of American. This agreement has grounds the maximum flying flexibility to the airlines firm that has relevant and alliances because they can cut down their flying cost that include fuel fare, service cost and other opportunity cost. Demand and Supply curveUntitled.png Changes in technology and effects to airlines industry. The changes in technology are provides a obvious effect in airlines industry, the common of internet use has help the airlines company to promote their service and make their air ticket selling become easier to air travelers. In the 80s till 90s, the revenue of Airlines Company was depending on travel agent. Consumers no need to go to airlines company agent to buy ticket, in the past, customers are expected to wait at least three days to get the proceed of air ticket. In this era, they can make the booking on airlines company internet, the only they need to do is print out a page and pass to counter at airport. The buying processes can be done in an hour. Airlines Company can save the operation cost in selling ticket. Despite the internet convenience, the technology in design and aero plane engineering has been improved, more safety in flying. To this result, air travelers do prefer to take a fly as because it is more safety than past. Due to the convenience and safety in flying, con sumers has bigger willing to choose air travel as their transport. Demand and Supply curve: show the improvement in technology has increase the demand for airlines service. Untitled.png

Whittington Castle :: European Europe History

Whittington Castle When assigned the England project, I wanted to research something having to do with my heritage. My ancestors originate from England. Correspondingly, I chose Whittington Castle. According to an old English legend, one of my family ancestors, Dick Whittington, set out from the castle for London, in search of his fortune. After residing in London for a time, Dick Whittington went on to be "thrice Lord Mayor of London". That piece of history supposedly occurred in 1368, but the first construction of Whittington Castle was in 845 and modeled after the Norman Motte and Bailey castles of the time. Entirely, my information on Whittington Castle came from Internet sources. Because of the unfortunate ruination of ancient castle, it is almost forgotten today. Except for several small web sites, I found little or no information on Whittington castle. One such site was http://www.data-wales.co.uk/whitt.htm. Another site was http://www.btinternet.com/~whittington.castle/. Intriguing was the next site I found: http://www.castlewales.com/whittng.html. Constructing the Whittington castle in 845, the builders designed it after the Motte and Bailey style castles. But it was later remodeled in 1221 replacing the old structure with stone. Originally, the castle was assembled with seven towers, each about 18 meters high, with wall 3.7 meters thick, and a drawbridge over 12 meters long. Now, only the gatehouse remains. Around the castle, extensive marshlands acted as protection in medieval days. The remnants of Whittington castle are situated in the small village of Whittington, a few miles outside of Shrewsbury, England. Originally, the motte castle of Whittington was built by the Welsh Prince Ynyr ap Cadfarch. After being seized by Roger de Montgomery, the castle was given to Sir William Perveril of Peak. Perveril had no male heir; therefore his eldest daughter Mellet inherited the castle. Passing down through marriage to the fitz Warren family, King Henry III granted the fitz Warrens permission to build a stone fortress on the motte foundation. Although friends with King Henry, the fitz Warrens had an interesting love/hate relationship with the English monarchy. Fulk fitz Warren is reputed to have quarreled with Prince John, eventually causing Warren to flee France. He avoided certain death. Subsequent to Fulk's exile and pardon, he was able to return and repossess Whittington castle. Judiciously, the fitz Warren family held the fortress and its grounds until 1420. Interesting is one legend concerning the heirs of Whittington Castle. In the ruins it said that people have seen and heard two children peering out of the twin towers. Whittington Castle :: European Europe History Whittington Castle When assigned the England project, I wanted to research something having to do with my heritage. My ancestors originate from England. Correspondingly, I chose Whittington Castle. According to an old English legend, one of my family ancestors, Dick Whittington, set out from the castle for London, in search of his fortune. After residing in London for a time, Dick Whittington went on to be "thrice Lord Mayor of London". That piece of history supposedly occurred in 1368, but the first construction of Whittington Castle was in 845 and modeled after the Norman Motte and Bailey castles of the time. Entirely, my information on Whittington Castle came from Internet sources. Because of the unfortunate ruination of ancient castle, it is almost forgotten today. Except for several small web sites, I found little or no information on Whittington castle. One such site was http://www.data-wales.co.uk/whitt.htm. Another site was http://www.btinternet.com/~whittington.castle/. Intriguing was the next site I found: http://www.castlewales.com/whittng.html. Constructing the Whittington castle in 845, the builders designed it after the Motte and Bailey style castles. But it was later remodeled in 1221 replacing the old structure with stone. Originally, the castle was assembled with seven towers, each about 18 meters high, with wall 3.7 meters thick, and a drawbridge over 12 meters long. Now, only the gatehouse remains. Around the castle, extensive marshlands acted as protection in medieval days. The remnants of Whittington castle are situated in the small village of Whittington, a few miles outside of Shrewsbury, England. Originally, the motte castle of Whittington was built by the Welsh Prince Ynyr ap Cadfarch. After being seized by Roger de Montgomery, the castle was given to Sir William Perveril of Peak. Perveril had no male heir; therefore his eldest daughter Mellet inherited the castle. Passing down through marriage to the fitz Warren family, King Henry III granted the fitz Warrens permission to build a stone fortress on the motte foundation. Although friends with King Henry, the fitz Warrens had an interesting love/hate relationship with the English monarchy. Fulk fitz Warren is reputed to have quarreled with Prince John, eventually causing Warren to flee France. He avoided certain death. Subsequent to Fulk's exile and pardon, he was able to return and repossess Whittington castle. Judiciously, the fitz Warren family held the fortress and its grounds until 1420. Interesting is one legend concerning the heirs of Whittington Castle. In the ruins it said that people have seen and heard two children peering out of the twin towers.

Happiness in Brave New World :: Brave New World Essays

Happiness in Brave New World Huxley implies that by abolishing nastiness and mental pain, the brave new worlders have got rid of the most profound and sublime experiences that life can offer as well. Most notably, they have sacrificed a mysterious deeper happiness which is implied, but not stated, to be pharmacologically inaccessible to the utopians. The metaphysical basis of this presumption is obscure. There are hints, too, that some of the utopians may feel an ill-defined sense of dissatisfaction, an intermittent sense that their lives are meaningless. It is implied, further, that if we are to find true fulfilment and meaning in our own lives, then we must be able to contrast the good parts of life with the bad parts, to feel both joy and despair. As rationalisations go, it's a good one. But it's still wrong-headed. If pressed, we must concede that the victims of chronic depression or pain today don't need interludes of happiness or anaesthesia to know they are suffering horribly. Moreover, if the mere relativity of pain and pleasure were true, then one might imagine that pseudo-memories in the form of neurochemical artefacts imbued with the texture of "pastness" would do the job of contrast just as well as raw nastiness. The neurochemical signatures of deja vu and jamais vu provide us with clues on how the re-engineering could be done. But this sort of stratagem isn't on Huxley's agenda. The clear implication of Brave New World is that any kind of drug-delivered happiness is "false" or inauthentic. In similar fashion, all forms of human genetic engineering and overt behavioural conditioning are to be tarred with the same brush. Conversely, the natural happiness of the handsome, blond-haired, blue-eyed Savage on the Reservation is portrayed as more real a nd authentic, albeit transient and sometimes interspersed with sorrow. The contrast between true and false happiness, however, is itself problematic. Even if the notion is both intelligible and potentially referential, it's not clear that "natural", selfish-DNA-sculpted minds offer a more authentic consciousness than precision-engineered euphoria. Highly selective and site-specific designer drugs [and, ultimately, genetic engineering] won't make things seem weird or alien. On the contrary, they can deliver a greater sense of realism, verisimilitude and emotional depth to raw states of biochemical bliss than today's parochial conception of Real Life.

Managing Financial Resources Essay

1.Managing Financial Resources: Provides students with an understanding of the nature of resources available to an organization; how resources can be managed to add value; understand the value chain and how sustainable competitive advantage can be maintained; how linkages between value systems are created for competitive advantage; and how the core skills and competencies of an organization are identified and managed. 2.Corporate Finance and Evaluation: Introduces students to the modern theory of finance. It examines decision rules for financial decisions in firms and the capital market context in which these decisions are made. The subjects covered are the value and capital budgeting, portfolio theory, models of security valuation, efficient markets, long-term financing, company dividend decisions, capital structure, and interactions of investment and financing decisions. 3.Financial Accounting and Analysis: Aims to take students from first principles financial accounting rules and concepts to a broad understanding of some of the key practices and techniques in financial accounting and analysis. The module covers the principles underlying financial statements, the preparation of basic financial statements, key elements of financial accounting theory, accounting standards and the interpretation of published financial statements. 4.Strategic Management Simulation: This module aims to introduce to students key aspects of strategic management through a business simulation exercise. Students work in a team environment to develop their knowledge and skills in strategic decision making, with tasks centered on finance and human resource management. The simulation is a computer based. The teams compete against each other in a simulated business environment and the strategic decisions they make have real time affect on how their organization performs. Decisions are therefore coordinated within the team based on the interpretation of various forms of information, which in turn translate into poor or successful business performance. 5.The Liverpool MBA Management Game: Only top 12 students among the entire cohort of University of Liverpool’s MBA were chosen to work on this project. Worked on a MBA Consultancy Project for T.J. Morris Ltd., to prepare a Strategic and Financial Business Plan for their entry into th e foreign retail market, the recommendations for which were well received by Mr. Joe Morris – Operations Director of the company. 6.Managing the Environment: The module draws, especially, from the closely related disciplines of strategy and marketing and deals with the macro and micro environments, buying behavior in consumer and industrial markets. It covers the nature and scope of the issues typically associated with understanding the business environment, environmental and organizational analysis, preparation of a marketing plan, the components of strategic management and the role of marketing within the strategy process. 7.Managing People: The module aims to develop students’ understanding of the realities of organizations and strategies for managing people in organizations with regard to striking a balance between the needs of the organization and employee needs. 8.Managing Change: The course examines issues and dilemmas facing those managing change via an examination of the main types, strategies and processes of change in organizations, as well as the main problems that are encountered in successfully implementing organizational change; the methods and strategies that can be employed to analyze complex organizational systems and decide what needs to change and how; the components of change, and the ‘levers’ of organizational change; the conditions in which innovative and evolutionary change is likely to occur and the management thinking and the skills necessary to cope with ambiguity on an ongoing basis. 9. 3 month dissertation – Impact of Foreign Direct Investment on the Indian Economy.

Global Warming: Effects and Impacts

[pic] Introduction Global warming is the observed increase in the average temperature of the Earth's atmosphere and oceans in recent decades and its projected continuation. In principle, global warming is neutral as to the period or causes, but in both common and scientific usage the term generally refers to recent warming and implies a human influence. Most of the observed increase in globally averaged temperatures since the mid-20th century is very likely due to the observed increase in anthropogenic greenhouse gas concentrations, which leads to warming of the surface and lower atmosphere by increasing the greenhouse effect caused by gases which are released by activities such as the burning of fossil fuels, land clearing, and agriculture. The predicted effects of global warming for the environment and for human life are numerous and varied. The main effect is an increasing global average temperature. From this flow a variety of resulting effects, namely, rising sea levels, altered patterns of agriculture, increased extreme weather events, and the expansion of the range of tropical diseases. In some cases, the effects may already be occurring, although it is generally difficult to attribute specific natural phenomena to long-term global warming. Examples of projected climate changes include, significant slowing of the ocean circulation that transports warm water to the North Atlantic, large reductions in the Greenland and West Antarctic Ice Sheets, accelerated global warming due to carbon cycle feedbacks in the terrestrial biosphere, and releases of terrestrial carbon from permafrost regions and methane from hydrates in coastal sediments. Global warming controversy The global warming controversy is a debate about the causes of observed global warming since the mid-20th century, as well as the expected magnitude and consequences of future warming. A major part of the debate centers around what actions, if any, society should take in response to the prospect of future warming. Some of the main areas of controversy include: 1. Whether the climate is changing beyond natural variations in the historical temperature record 2. Whether human/industrial activity is responsible for the change and if so, to what extent 3. The effect of predicted depletion of fossil fuels, both individually as e. g. oil runs out and users turn to the higher polluting coal and overall as to whether there are sufficient available reserves to cause the more extreme climate change scenarios 4. The effectiveness of policies to reduce CO2 emissions 5. The size of future changes in climate 6. The regional effects of climate change 7. The consequences of climate change Among climate scientists there is little disagreement that global warming is primarily anthropogenic, but the debate continues in the popular media and on a policy level. Questions include whether there is a scientific consensus on the extent and rate of anthropogenic global warming, and in particular whether there is sufficient evidence to justify immediate and far-reaching actions to ameliorate its effects. Those who believe such a consensus exists express a wide range of opinions: some merely recognize the validity of the observed increases in temperature, while others support measures such as the Kyoto Protocol which are intended to reduce the magnitude of future global warming. Still others believe that environmental damage will be so severe that immediate steps must be taken to reduce carbon dioxide and methane emissions, even if the precise results are unknown, and even if there are substantial economic costs to doing so. One example of an attempt to force action is the Sierra Club suing the U. S. government over failure to raise automobile fuel efficiency standards, and thereby decrease carbon dioxide emissions. Most of the consequences of global warming would result from one of three physical changes: sea level rise, higher local temperatures, and changes in rainfall patterns. Sea level is generally expected to rise 50-200 cm in the next century. Erode recreational beaches 100-200 meters, exacerbate coastal flooding and increase the salinity of aquifers and estuaries. o enhance beneficial impacts, but will incur costs and will not prevent all damages. Extremes, variability, and rates of change are all key features in addressing vulnerability and adaptation to climate change, not simply changes in average climate conditions. Human and natural systems will to some degree adapt autonomously to climate change. Planned adaptation can supplement autonomous adaptation, though there are more options and gre ater possibility for offering incentives in the case of adaptation of human systems than in the case of adaptation to protect natural systems. Poorer nations The ability of human systems to adapt to and cope with climate change depends on such factors as wealth, technology, education, information, skills, infrastructure, access to resources, and management capabilities. There is potential for developed and developing countries to enhance and/or acquire adaptive capabilities. Populations and communities are highly variable in their endowments with these attributes, and the developing countries, particularly the least developed countries, are generally poorest in this regard. As a result, they have lesser capacity to adapt and are more vulnerable to climate change damages, just as they are more vulnerable to other stresses. This condition is most extreme among the poorest people. Historic adaptation Some of those who argue for adaptation to global warming do so with the perspective that human civilization has proven to be highly adaptable to climate change in the past and therefore will likely be able to adapt to climate change in the future. The counterargument to this perspective is that the costs of adaptation are much higher than in the past due to the greater investment in urban and industrial infrastructure. In the past, cities could be relocated largely by having the populace pack up their possessions on their backs, on pack animals or wagons and relocate. Modern cities the size of Bristol or Liverpool cannot be relocated easily even with the use of truck, air and rail transport. The damage suffered by New Orleans by hurricane Katrina provides some perspective as to the potential damage that can be caused by a rise in sea level. Far more technology and resources are available today. Our organizational and communication Adaptation mechanisms The following 9 fundamental principles can be considered when designing adaptation policy. 1. The effects of climate change vary by region. 2. The effects of climate change may vary across demographic groups. 3. Climate change poses both risks and opportunities. 4. The effects of climate change must be considered in the context of multiple stressors and factors, which may be as important to the design of adaptive responses as the sensitivity of the change. 5. Adaptation comes at a cost. 6. Adaptive responses vary in effectiveness, as demonstrated by current efforts to cope with climate variability. 7. The systemic nature of climate impacts complicates the development of adaptation policy. 8. Mal-adaptation can result in negative effects that are as serious as the climate-induced effects that are being avoided. 9. Many opportunities for adaptation make sense whether or not the effects of climate change are realized. Methods of adaptation Agricultural production Agriculture of any kind is strongly influenced by the availability of water. Climate change will modify rainfall, evaporation, runoff, and soil moisture storage. Changes in total seasonal precipitation or in its pattern of variability are both important. The occurrence of moisture stress during flowering, pollination, and grain-filling is harmful to most crops and particularly so to corn, soybeans, and wheat. Increased evaporation from the soil and accelerated transpiration in the plants themselves will cause moisture stress; as a result there will be a need to develop crop varieties with greater drought tolerance. The demand for water for irrigation is projected to rise in a warmer climate, bringing increased competition between agriculture–already the largest consumer of water resources in semiarid regions–and urban as well as industrial users. Falling water tables and the resulting increase in the energy needed to pump water will make the practice of irrigation more expensive, particularly when with drier conditions more water will be required per acre. Crop development models In order to further study effects of global warming on agriculture, other ypes of models, such as crop development models, yield prediction, quantities of water or fertilizer consumed, can be used. Such models condense the knowledge accumulated of the climate, soil, and effects observed of the results of various agricultural practices. They thus could make it possible to test strategies of adaptation to modifications of the environment. Because these models are necessarily simplifying natural conditions ( often based on the assumption that weeds, disease and insect pests are controlled), it is not clear whether the results they give will have an in-field reality. However, some results are partly validated with an increasing number of experimental results. Other models, such as insect and disease development models based on climate projections are also used (for example simulation of aphid reproduction or septoria (cereal fungal disease) development). Urban areas One strategy involves adapting urban areas to increasingly severe storms by increasing domestic, unpaved gardens etc and increasing the capacity of storm water systems (and also separating storm water from black water so that overflows in peak periods do not contaminate rivers). Weather Control Also there are methods like seeding of the sulphur in the clouds to have rain when it is required. The control can be better enhanced by adopting genetical methods of agriculture, green roofs in urban areas etc where the fewer fertilizers and less water is used and at the same time the food production is increased thereby increasing the greenery and thus bettering the CO2 sink capacity. Conclusion As discussed in the paper we will like to again focus on the importance of adaptation to global warming as a very strong factor. It is essential that the mitigation efforts continue towards solving the problem but for practical purposes we all very well know that it alone can never accomplish this feat even if it had very large financial resources at its behest. So the best way to survive in nature is to accept it since Charles Darwin rightly said that it’s only the fittest and most adaptable whom the nature will select to stay along with. Hence it will be good if we understand the fact that its we who need to adapt to the nature, much sooner than later rather than expecting the reverse by putting in huge sums of money in terms of technological measures.