Journal Essay Example | Topics and Well Written Essays - 250 words - 55

Journal - Essay Example He then says he can name countries that can consume the whole nation without regardless of the preservation (Lynch n.d.). He uses allusion to confront England due to its proximity. His allusion directly hits the English for misusing Ireland. He, however, does not spare his wrath to Ireland. In the course of his literature, he presents various alternative solutions that it can use to solve its problems. He puts that none of his suggestions was put into practice. In his literature, he stresses on the extent and number of Ireland’s social problems, neglect, and indifference that the citizens had to encounter (Lynch n.d.). Swift uses an adopted persona to ridicule the people who recommend economic and political solutions to Ireland without considering the human cost that will be involved. With an overwhelming irony, he demonstrates the inhumanity of patterns meant to alleviate the sufferings from the poor. Absurd principles form the basis of the schemes (Lynch

Consumer in Hospitality Case Study Example | Topics and Well Written Essays - 2000 words

Consumer in Hospitality - Case Study Example Sociological factors such as family and friends influences. The physical environment such as it's location, setting and different activities offered. The marketing strategies will include the brand image, loyalty, visuals, advertisement (http://www.fourseasons.com/about_us/awards_and_accolades.html) Four Seasons was founded by Isadore "Issy" Sharp. After graduating from Toronto's Ryerson's Polytechnical institute with high grades in architecture, he joined his father in selling refurbished houses at a profit. However, it was his dream to build a hotel of his own. For 5years, he tried to find banks and investors to finance in his project. In the spring of 1961, Sharp's 126-room Inn was opened. Despite the hotel's poor location in Toronto's red light district, the hotel managed to attract many wealthy customers. His second venture, Toronto's Inn opened in 1963. The real fame came along with the Four Seasons Hotel at Hyde Park in London. Despite having average-than-higher room rates, it held 95% occupancy. Four Seasons now has 70 hotels in 31 countries, and more than 25 properties under development. Sales for the Toronto-based luxury hotel chain were $57.6 million this year. "My experience with this hotel took place in February, 2006. I travelled to this hotel with business colleagues. I recommend this hotel for: business travellers, couples and romantics, honeymooners, families with teenagers, large groups, seniors, tourists." "My experience with this hotel took place in March, 2006. My husband and I recently spent a weekend at the Four Seasons in Philadelphia. Having previously stayed at The Rittenhouse (couldn't get a reservation there) we expected a similar level of quality and sevice. It was not the case. We were kindly upgraded to a suite which was nice but not spectacular. We had dinner in The Fountain Restaurant which was very good but extremely expensive. The room service menu is limited and also extremely expensive (I stay in alot of first class hotels and the prices here are high). Took advantage of their spa twice and it was fine although nothing too special. Overall, it is a nice hotel but not the quality you would expect for a 4-Seasons.I wouldn't stay there again, there are a lot of excellent options in Philadelphia." "My experience with this hotel took place in March 2006. The one thing that stuck out in my whole experience there was the friendliness and attentiveness of ALL staff. From the front desk person coming out from behind the desk to show us where the elevator and restaurants were to the housekeeping staff giving us a big smile and "good morning" to the staff on the phone asking if there was anything else they could do for you when we had a question, it was top notch!! Good Job Four Seasons." Since the 1960s Four Seasons Hotel and Resorts have not only challenged the traditional luxury image and established itself amongst the top but has also proven to extend its own boundaries, "culminating in the re-opening of the flagship George V hotel in Paris in 1999, which offers guests a combination of old world luxury and modern amenities". Despite being very different from the first hotel opened in Toronto in 1961, its position as a luxury hotel as been the same in locations such as

Advantages and Limitations of Neural Networks

Advantages and Limitations of Neural Networks There are many advantages and limitations to neural network analysis and to discuss this subject properly we would have to look at each individual type of network, which isnt necessary for this general discussion. In reference to backpropagational networks however, there are some specific issues potential users should be aware of. Backpropagational neural networks (and many other types of networks) are in a sense the ultimate black boxes. Apart from defining the general archetecture of a network and perhaps initially seeding it with a random numbers, the user has no other role than to feed it input and watch it train and await the output. In fact, it has been said that with backpropagation, you almost dont know what youre doing. Some software freely available software packages (NevProp, bp, Mactivation) do allow the user to sample the networks progress at regular time intervals, but the learning itself progresses on its own. The final product of this activity is a trained network that provides no equations or coefficients defining a relationship (as in regression) beyond its own internal mathematics. The network IS the final equation of the relationship. Backpropagational networks also tend to be slower to train than other types of networks and sometimes require thousands of epochs. If run on a truly parallel computer system this issue is not really a problem, but if the BPNN is being simulated on a standard serial machine (i.e. a single SPARC, Mac or PC) training can take some time. This is because the machines CPU must compute the function of each node and connection separately, which can be problematic in very large networks with a large amount of data. However, the speed of most current machines is such that this is typically not much of an issue. The advantage of neural networks over conventional programming lies on their ability to solve problems that do not have an algorithmic solution or the available solution is too complex to be found. Neural networks are well suited to tackle problems that people are good at solving, like prediction and pattern recognition (Keller). Neural networks have been applied within the medical domain for clinical diagnosis (Baxt:95), image analysis and interpretation (Miller:92, Miller:93), signal analysis and interpretation, and drug development (Weinstein:92). The classification of the applications presented below is simplified, since most of the examples lie in more than one category (e.g. diagnosis and image interpretation; diagnosis and signal interpretation). Depending on the nature of the application and the strength of the internal data patterns you can generally expect a network to train quite well. This applies to problems where the relationships may be quite dynamic or non-linear. ANN s provide an analytical alternative to conventional techniques which are often limited by strict assumptions of normality, linearity, variable independence etc. Because an ANN can capture many kinds of relationships it allows the user to quickly and relatively easily model phenomena which otherwise may have been very difficult or imposible to explain otherwise. Future Enhancements Because gazing into the future is somewhat like gazing into a crystal ball, so it is better to quote some predictions. Each prediction rests on some sort of evidence or established trend which, with extrapolation, clearly takes us into a new realm. Prediction 1: Neural Networks will fascinate user-specific systems for education, information processing, and entertainment. Alternative ralities, produced by comprehensive environments, are attractive in terms of their potential for systems control, education, and entertainment. This is not just a far-out research trend, but is something which is becoming an increasing part of our daily existence, as witnessed by the growing interest in comprehensive entertainment centers in each home. This programming would require feedback from the user in order to be effective but simple and passive sensors (e.g fingertip sensors, gloves, or wristbands to sense pulse, blood pressure, skin ionisation, and so on), could provide effective feedback into a neural control system. This could be achieved, for example, with sensors that would detect pulse, blood pressure, skin ionisation, and other variables which the system could learn to correlate with a persons response state. Prediction 2: Neural networks, integrated with other artificial intelligence technologies, methods for direct culture of nervous tissue, and other exotic technologies such as genetic engineering, will allow us to develop radical and exotic life-forms whether man, machine, or hybrid. Prediction 3: Neural networks will allow us to explore new realms of human capability realms previously available only with extensive training and personal discipline. So a specific state of consciously induced neurophysiologically observable awareness is necessary in order to facilitate a man machine system interface. Recommendations The major issues of concern today are the scalability problem, testing, verification, and integration of neural network systems into the modern environment. Neural network programs sometimes become unstable when applied to larger problems. The defence, nuclear and space industries are concerned about the issue of testing and verification. The mathematical theories used to guarantee the performance of an applied neural network are still under development. The solution for the time being may be to train and test these intelligent systems much as we do for humans. Also there are some more practical problems like: the operational problem encountered when attempting to simulate the parallelism of neural networks. Since the majority of neural networks are simulated on sequential machines, giving rise to a very rapid increase in processing time requirements as size of the problem expands. Solution: implement neural networks directly in hardware, but these need a lot of development still. ÂÂ ¢ instability to explain any results that they obtain. Networks function as black boxes whose rules of operation are completely unknown. There are many advantages and limitations to neural network analysis and to discuss this subject properly we would have to look at each individual type of network, which isnt necessary for this general discussion. In reference to backpropagational networks however, there are some specific issues potential users should be aware of. ÂÂ ¢ Backpropagational neural networks (and many other types of networks) are in a sense the ultimate black boxes. Apart from defining the general archetecture of a network and perhaps initially seeding it with a random numbers, the user has no other role than to feed it input and watch it train and await the output. In fact, it has been said that with backpropagation, you almost dont know what youre doing. Some software freely available software packages (NevProp, bp, Mactivation) do allow the user to sample the networks progress at regular time intervals, but the learning itself progresses on its own. The final product of this activity is a trained network that provides no equations or coefficients defining a relationship (as in regression) beyond its own internal mathematics. The network IS the final equation of the relationship. ÂÂ ¢ Backpropagational networks also tend to be slower to train than other types of networks and sometimes require thousands of epochs. If run on a truly parallel computer system this issue is not really a problem, but if the BPNN is being simulated on a standard serial machine (i.e. a single SPARC, Mac or PC) training can take some time. This is because the machines CPU must compute the function of each node and connection separately, which can be problematic in very large networks with a large amount of data. However, the speed of most current machines is such that this is typically not much of an issue. Conclusion In this paper, we have presented a system for recognizing handwritten English characters. An experimental result shows that backpropagation network yields good recognition accuracy of 85%. We have demonstrated the application of MLP network to the handwritten character recognition problem. The skeletonized and normalized binary pixels of these characters were used as the inputs of the MLP network. In our further research work, we would like to improve the recognition accuracy of network for character recognition by using more training samples written by one person and by using a good feature extraction system. The training time may be reduced by using a good feature extraction technique and instead of using global input, we may use the feature input along with other neural network classifier. The computing world has a lot to gain from neural networks. Their ability to learn by example makes them very flexible and powerful. Furthermore there is no need to devise an algorithm in order to perform a specific task; i.e. there is no need to understand the internal mechanisms of that task. They are also very well suited for real time systems because of their fast response and computational times which are due to their parallel architecture. Neural networks also contribute to other areas of research such as neurology and psychology. They are regularly used to model parts of living organisms and to investigate the internal mechanisms of the brain. Perhaps the most exciting aspect of neural networks is the possibility that some day conscious networks might be produced. There are a number of scientists arguing that consciousness is a mechanical property and that conscious neural networks are a realistic possibility. Finally, I would like to state that even though neural networks have a huge potential we will only get the best of them when they are integrated with computing, AI, fuzzy logic and related subjects

William Carlos Williams The Rose - A Symbol of Love :: Williams Rose Essays

William Carlos Williams' The Rose - A Symbol of Love William Carlos Williams was a poet and writer who defied norms and constrictions in order to achieve new perspective and enlightenment, especially when it involved the tried and true. He sought to bring new life to old concepts through allowing imagination to shape the form, instead of allowing old ideas to influence our understanding of the subject. This is especially true in the poem "The Rose", which approaches a subject that may induce thoughts of significant others and prom-night disasters, and instead elaborates on the roots of the age-old symbol for love. To be honest, I have absolutely no idea what this poem is about, so hopefully something will make sense by the end of this paper. The poem starts out as a description of the flower that we all have either received, given, longed for, or been cut by. Instantly, there is the feel of conflict in the language that is being used. Abrasive, heavy words that could be used to describe a murder are mixed with other words that seem to convey a sense of hope and spacial energy. The clusters of thought that somehow constitute a complete sentence make the reading somewhat difficult from the very beginning, but it seems to take on a multi-layered personality as the poem plays itself out. Although there is no mention of the thorny stem, words such as 'sharper', 'cutting', and 'edge', instead describe the flower itself. The constant reference to materials that possess qualities different from any rose such as 'metal', 'copper', 'broken plate", and 'steel', serve to indicate that this flower is being seen through a set of eyes that have perhaps been cast and hardened by the capacity for love. In contrast to the Nine-Inch Nails words, there are several phrases that become rather ethereal in their incantation. "Grooved columns of air", "But if it ends the start has begun", and "penetrates the Milky Way without contact" all seem to place this flower at the very center of nothingness. This contrast brings to mind high quality photography, which can make an image seem to have sharp edges and contrast greatly with its background.

Benefits of Studying Psychology Essay

Question / Topic: Some critics argue that there is no such thing as a psychologically whole person because everyone is fundamentally flawed. Hence, there should not be a need for learning Psychology in this world. What is your response to this? Introduction: What is psychology? The word ‘psyche’ means breath,spirit,soul and logia means study of. It is a scientific study of behavior and mental process. Psychology is all around us like the way people behave, talk and do things. It is an interesting field to learn and it helps in crafting us into a whole person. Thus, the communication skill with them is increased also. †¢A good example for this will be in the education field, where a teacher who needs to deal with children will benefit by learning how to engage in an interesting way of teaching to attract the attention of his/her students. Concluding Sentence: Therefore, we see clearly that a better understanding of human mind and thought process helps to add quality and depth to our relationships with people around us. Topic sentence : Apart from that, learning psychology creates stronger conflict and problem solving capability in a person. Most people tend to lose their mind and become nervous, emotional and unable to decide when a problem arises. This can be avoided by a person who learns psychology. †¢When a problem comes up, a person who has learned psychology can take time to evaluate the situation, evaluating every option available and not to rush thru decision. In other words, he can be logical and not emotionally driven t o make a decision. †¢Addition to that, psychology also teaches people to help empathize others and use the knowledge they have to bring harmony among others. Concluding Sentence: In a nutshell, psychology assists in solving problems and handling conflicts. Conclusion : These are the benefits of learning psychology. It is true that there is no one who is born into this world as a psychologically whole person, but a person can be cultivated into one. Learning psychology plays a major part in this. That is why it is also said as ‘the science of soul’. Understanding of human behavior and use of knowledge learned from psychology helps a person in many ways in their daily life. Thus, the need to learn psychology is indeed very important.

Macroeconomics and its study with relevance to china

SummaryIn accordance to the formulation of latest economic data juxtaposed with macroeconomic principals and theories it can be stated that at the start of 2006, the People's Republic of China officially proclaimed itself as the fourth largest economy, determined by USD-exchange rate leaving behind France and the United Kingdom. The People's Republic of China has an economy, which is graded as the fourth largest economy in the world, when measured by nominal GDP. According to the records of 2005, about 70% of China's GDP is in the private sector.IntroductionAccording to The Star Business, it is estimated by the financial specialists of Pricewaterhouse Coopers that, â€Å"China could overtake the United States by 2025 to be the world’s largest economy and is anticipated to grow to about 130% the size of the United States by 2050†.[1] (The Star, 2008) it can well be stated that the basis of this statement is completely dependent on the microeconomic theories related to fi nance and particularly the quantity theory of money.In general, it can be stated that Macroeconomics is a subdivision of economics that has its transactions with the behavior, structure and performance in terms of regional or national economy. Aggregated indicators price indices, unemployment rates and GDP are the prime factors of this subject along with several other variables such as international finance, international trade, investment, savings, inflation, unemployment, consumption, output and national income.The current article analyzes the trends of Chinese finance market and applies the quantity theory of money and the momentum or velocity of its circulation in Chinese market and beyond. The equation of exchange i.e. M. V=P.Y is applied in this case to yield the forecast. In accordance to the formulation it can be stated that China's National Bureau of Statistics in December 2005 recalculated its 2004 nominal GDP raised by 16.8% or Rmb2, 336.3 billion (US$281.9 billion), maki ng China the 6th largest economy in the world, leave behind Italy, with a GDP of almost $2 trillion USD. At the start of 2006, the People's Republic of China officially proclaimed itself as the fourth largest economy, determined by USD-exchange rate leaving behind France and the United Kingdom. (Edelman, 2005)DiscussionAt the beginning of 2006 China arises as the second largest economy in the world determined by domestic PPP (purchasing power) measure, at about $10 trillion USD, although such approximation must be taken with a great deal of warn as PPP estimation is very vague, more than ever in a huge country like China, Chinese acquiring capacity varies radically between Shanghai and Sichuan, and PPP is immaterial for imported products and overseas acquisitions. By the end of 2008, China foresee (determined by exchange rate) to go beyond Germany as the third largest economy, and to overtake Japan by the year 2015. (IMF, 2007) Thus, it is certain that China is fast becoming a globa l super power, at least economically as the quantity theory of money suggests and as calculated by the financial specialists of Pricewaterhouse based on this theory.The People's Republic of China has an economy, which is graded as the fourth largest economy in the world, when measured by nominal GDP. Its cost-effective productivity for 2006 was $2.68 trillion USD.   Its per capita GDP is rising rapidly. According to the records of 2005, about 70% of China's GDP is in the private sector. The less significant public sector is occupied by about two hundred large state enterprises concerted mainly in utilities, energy resources, and heavy industries.Since 1978 the People's Republic of China (PRC) government has been restructuring its economy from a Soviet-style centrally planned economy, where the state or government have the sole power over the issue of production and takes all decisions about their utilization and about the dissemination of income, to a new market-oriented economy, in which the manufacture and dissemination of goods and services is done through the system of free markets directed by a gratis price system.Within the political skeleton, given by the Communist Party of China this economic system has been termed as Socialism with Chinese characteristics and is a category of mixed economy. Since 1978 after the implementation of these reforms, millions of people have been elevated out of poverty, bringing down the poverty rate from 53% of populace in 1981 to 8% by 2001. (Kar, 2006)Thus it is clearly seen that the velocity of money is fast gaining momentum and when the equation of M. V=P.Y is applied it is clear that growth is tangible and constant.The record of China’s progress over the past two decades has demonstrated naysayer wrong and optimists not positive enough. Upon close assessment, China’s record loses some of its sheen. China’s economic presentation since 1979, for example, is in fact less imposing than that of its Ea st Asian competitors. Regardless of China's distinguished economic progress, its per capita and total GDP growth has been over taken by some nations.From 1999 to 2006, Russia's minimal per capita GDP increased from $1334 to $6879 (515 percent), while that in People's Republic China increased from $870 to $2000 (229 percent). Similarly impressive are some oil producing nations of Middle Eastern, such as Qatar, United Arab Emirates, Bahrain, Kuwait, and Brunei. Kazakhstan, Azerbaijan, Turkmenistan, and Angola had outpaced China in utilizing huge energy coffers in the same time.On the other hand, Equatorial Guinea, an African country recorded 79% percent real GDP augmentation in 2004. Even some countries in Asia such as Vietnam have made GDP triple between 1999 and 2006 in ostensible per capita dollar basis, astonishingly more than China. The strength of overall economy is a major determinant of political significance in the present time and China is doing quite well in this prospect. (King, 2006)In adjunct, it must be kept in mind that per capita income in absolute dollars (not percentage) GDP per capita is ascending much rapidly in most of the developed nations of the world than China, on account of China's very low foundation of   income. The Central Committee of the Chinese Communist Party a short time ago permitted the draft for the 11th 5-year plan for 2006 – 2010. The plan is intended to achieve a comparatively conventional 45% increase in GDP and 20% decline in energy intensity by 2010.Intriguingly enough, due to its vast population, China's per capita share of world GDP can by no means accomplish the levels of the USA or Japan or some European countries in the 1990's by economic progress alone. Avowed in another way, an average Chinese can never posses the same comparative economic power that possessed by average Americans, Western Europeans, and some Japanese in 1990's. This is demonstrated as Japan had 20% of world GDP in April 1995, with not more than 2% of its population. (Lamb, 2004)ConclusionAs China contains approximately 20% of the world's population, it would require 200% of world GDP to compete with Japan's level by this evaluation in April 1995, which is next to impossible. China’s share of total population of the world would have to reduce in size to well below 10% for this to happen. (Fletcher, 2005) Thus, it is quite clear that microeconomic theories like the quantity theory of money is very relevant in the modern context of financial analysis and forecast and the formulation of the national and economic variables are always dependable. Thus, it is obvious that economic commentaries or economic reports, like the one by The Star, can always be used for the fundamental understanding of macroeconomics and its principals.References:Edelman, S; (2005); Evaluation Techniques in International Business Management; Bloemfontein: ABP LtdFletcher, R; (2005); Principals: Beliefs and Knowledge; Believing and Knowin g; Dunedin: Howard & PriceIMF; 2007; Reports: 2006-2007; Paris: ADM PressKar, P; (2006); History of Industrial Economics and Related Applications; Kolkata: Dasgupta & ChatterjeeKing, H; (2006); Economic Principals Today; Auckland: HBT & Brooks LtdLamb, D; (2004); Cult to Culture: The Development of Civilization on the Strategic Strata; Wellington: National Book Trust[1] The Star; (March 2008); China to be world’s largest economy in 2025; KUALA LUMPUR: thestaronline