Jewish Migration to the United States Essay Example | Topics and Well Written Essays - 1000 words

Jewish Migration to the United States - Essay Example These migrations took place between 1919 and 1924. The Jews from Russia, on the other hand, began their westward foray earlier in 1880 and continued to trickle in towards 1913. This was the time when the Jews from the other Eastern European states began to journey towards the American shores. The Jews from Eastern Europe were close to 20 million, while those from Russia were about 2 million. Most of the Jews came to America through the Ellis Island, only to lay claim over the vast multi cultural terrains of large and crowded cities like New York and the Midwest. (Universiteit Leiden). There are a variety of reasons that have supported the Jewish immigration to America. Primary among these are reasons like political freedom as well as religious reasons. The Jews in general, have been an oppressed lot. Their religious duties bound them to a certain way of life which was soon stifling the slowly modern sensibilities that began to emerge just prior to the first world in communities the world over. There was a sudden surge of new found consciousness which the Jews felt too scared to acknowledge in their present locations. (Parrillo, 2002) The land called America presented them with opportunities galore. ... The land that belonged to the peasants was snatched away from them while children were forced to decide which profession to enter into by the age of 16 in order to ensure that they were not thrown into the torturous Russian army. The Russian army was fast becoming a target of negative publicity with its increasing number of suicide cases. (Universiteit Leiden). Further, in a free land like America, the Jews from Russia as well as Eastern Europe found that they had little need or pressure to affiliate themselves and their entire lifestyles with a certain political way of thinking or political party. This was a refreshing change and helped the Jews breathe in peace. Many Jews came to America temporarily at first, as political refugees, in order to join the labor force and earn a decent living before returning to their homeland in the hope that it will be free by the time they are done with their American tenure. This was the reason why many Jews did not enter into land ownership at the very onset like most of the other migrants like the Irish and Chinese. (Parrillo, 2002) These reasons were vastly different from the Irish, Chinese and Japanese migration experiences. The Irish entered America as a result of the famines that were constantly leaving them in a state of hunger and acute poverty, during 1840 to 1890. The Chinese on the other hand, migrated to America as a result of the Gold Rush in California. These migrations took place during the 1800s and were marked by an air of success and wealth. The Chinese migrants were essentially skilled craftsmen as well as merchants which eventually garnered a lot of discrimination against them. The Japanese, on the other hand, migrated to America in great numbers between 1886 and 1911, in order to make the most of the

Lswee9 Essay Example | Topics and Well Written Essays - 1000 words

Lswee9 - Essay Example Nothing speaks for itself’ (Thorpe and Holt, 2008: p. 184). It can be anticipated that any researcher will have preconceived ideas about the area of study. This preconception will be founded upon the knowledge gained before actually commencing the research when interacting with others concerned. In my case, I am part of the company. The preconceptions held are going, in some way, going to have an influence both upon the way the research is conducted and could perhaps influence the results obtained. This occurs because it is the researcher who interprets the data, whether this be from his observations, the text of interviews, or from documents obtained from participants. When the researcher reflects upon the preconceptions he might have towards the subject of study and the participants involved, he must also reflect upon how his own characteristics will have an effect upon the data he collected. Hertz (1997: p. 8) stated that reflexivity allows the researcher to realise where he is in relation to the research undertaken , and so is able to minimise the effect he, and his personal ideas and knowledge has upon the research undertaken. When undertaking qualitative research it can be difficult for the researcher to operate in a detached way as they are required to interact personally with the respondents. Reflexive research is able to take this involvement of the researcher into account (Thorpe and Holt, 2008: p. 184). The writers are able to discuss this topic within reflexivity which is where methodological, discussing the proximity of the researchers to the matter under discussion. It is shown that the researcher need to be aware of this closeness and so be aware of the need to be professional and keep their distance so that the process of data collection and its outcomes is influenced in the most minimal way possible and not compromised. Johnson and Duberly (2000: p. 191) discuss

Jurisprudence Essay Example | Topics and Well Written Essays - 2000 words

Jurisprudence - Essay Example In order for a society to gain such a reliable reputation, there needs to be a backbone, which in this case would be a code of law.† (2006: p 1) Man makes laws and crafts amendments in them according to the prevailing circumstances and situation. The basic motive behind devising the statutes of law was the prevention of crimes from the society. Since crime is a social phenomenon and exists in each and every culture of the world from the most primitive human tribes and clans to the modern contemporary society, no civilization can deny its subsistence at all. â€Å"Community disorganization†, according to Vedder, Koenig & Clark, â€Å"has been found to be related to several social problems, including crime and delinquency.† (1973: p 7). It is actually an act that disturbs and destroys the peace and harmony of a society. With increase in population of the world at large, the tribes and communities grew widely and developed into society. The crime rate also got its place along with the growth of civilization with an upward trend and increase. The need of rules and system was felt to preserve calm and harmony. Subsequently, social norms, folkways, mores and taboos came into being to bring regularity in society. Socio-cultural and political authorities were also established, to evade turbulence and control crimes in the prescribed manners prevailing in an area. There are two types of offences i.e. one which is against the law enforced by the state, called criminal acts, and the other that is against religious beliefs as well as existing norms that is called deviancy and immorality. Deviant behaviour and perversion refer to the breaking of the prevailing norms and values. Prostitution, incest, homosexuality, bestiality, buggery, exhibitionism, voyeurism and masochism etc are the examples of moral offenc es or perversion. The parliament of the Old Land, has decided to pass a bill in order to criminalize sexual intercourse

BRIC Economies and Its Implications in Organizations Essay

BRIC Economies and Its Implications in Organizations - Essay Example In 2010 South Africa was also included in this group and the acronym is now known as BRICS. It has captured major attention of political leaders, scientists and also the economists (California State Assembly, 2010). The BRICS nations are growing rapidly with a systematic growth embracing the global capitalism (Global, n.d). They are predicted to be the forefront of the world’s most progresses economies. China is now considered to be the second largest economy in the world in terms of Purchasing Power Parity (PPP). Although the per capita income of people living in developed countries is more than that of the BRIC countries but still there is considerable rise in the income of the middle income group people in such countries. Since the government of such nations is actively incorporating growth stabilizing policies, it is believed that India and China will soon emerge as the leading supplier of manufactured services and goods while Russia and Brazil may be the major suppliers o f raw inputs (Academia, 2013). In the above graph the dark green bars denote the income of the BRIC countries and the light green bars indicates the income of the G 6 countries in terms of GDP. The income level of all the countries in the world will increase with a growth of the world economy. Till 2020 it is observed that the income of BRIC nations is less than half compared to that of the G6. The estimation from 2020 afterwards shows that the BRIC economies surpass half the income of that of the G 6 countries. Finally by 2040 the income of BRIC countries will be more than that of the G 6 nations (CIA, 2013).... The Five BRICS Brazil being independent in 1822 is now considered to be the most populous country in South America. It is perusing both industrial as well as agricultural growth and is now well known for its growing development within its boundaries. Brazil has become a strong economy in recent years exploiting its large natural resources and substantial labor force to work. There are still some problems like high inequality of income and hence a very excessive amount of corruption still now persists in this country. Brazil is expanding its world markets in sectors like agriculture, mining, service as well as manufacturing etc. The nation has also achieved a macroeconomic stability and has been successful to raise its foreign exchange reserves. Although Brazil has grown rapidly in 2007 to 2008 and has become a global creditor but still the recent economic recession has hit Brazil. Recession has touched Brazilian economy in two quarters. But it soon recovered its economic growth and h as now gained the confidence of investors. In 2010 the GDP of Brazil experienced 7.5% growth, which is considered to be the highest in the last 25 years. The high level of income inequality in Brazil has declined in the last 14 years. The high interest rate of the country has involved in large amount of capital inflows and hence appreciated the economy. This has however disturbed the domestic manufacturing and compelled the government to intervene in the matters related to foreign exchange markets and has also lead to rise in taxes of the capital inflows from foreign countries. India is also considered as a member of BRIC, it terms of nominal GDP it is the ninth largest country in the world and

Market Research Paper Coursework Example | Topics and Well Written Essays - 1250 words

Market Research Paper - Coursework Example This paper will focus on the most significant market research, which the Mander Portman Woodward college business could employ to improve its collection of market research data. Types of research data Market research refers to gathering and analysis of data or information concerning customers, competitors and, or the effectiveness of the business marketing programs. Small-scale business owners conduct market research to evaluate the feasibility of the newly established business, preferences in new services and products, improve the business aspects like consumer services, channels of distribution of products and establish competitive strategies. In this case, the college carries out a market research to enable it to make decisions to respond effectively to the need of customers, and increase their profit. The research is also significant for the college to acquire accurate information about competitors and customers that necessitate the development of a solid marketing plan (Brace, 2 004). The college has to be conversant with their market niche, and the benefit they offer to the market. Market research aids the college hone in the marketplace and directs their operations in relation to the market segment that targets their products and services. The college utilizes both primary and secondary types of market research for data collection. ... Preliminary interactive meetings between the lower-sixth form students, their teachers and parents at the start of every summer term, discussions concerning university application and entrance, student seminars, and student interviews among others are all sources of primary data utilized by the school. It also utilizes secondary data from published examination results, such as, the academic year reports that provide significant information about the performance of the school and the challenges that need to be addressed to improve its general performance. Market research methods The key role of market research is to analyze the requirements of a certain target market, acceptability of services, competition as well as means of establishing and exploiting existing and new markets. Before conducting the research, a comprehensive understanding of the core problem that needs to be solved, the application of market research procedures and the market itself is significant (Grove and Vriens, 2006). The main reason for conducting market research in the school is to achieve a wider understanding of the methods of improving the school performance, and increasing the number of students who pursue the competitive courses. The three methods of research that could be appropriate for the school include primary research, secondary research, focused groups and student interviews. The school could use primary market research to collect original data relevant to the requirements of the students, staff and parents. Primary research entails both quantitative and qualitative categories of research. Quantitative research is based on numerical, statistical analysis and demand measurement of market

Law Essay Example | Topics and Well Written Essays - 500 words - 5

Law - Essay Example They are also liable for replacement of the faulty blu-ray player purchased by Bob from them although more than 3 days have passed after the purchase. Reckless Department Store is just what their name expounds – it is reckless. One cannot do business in a reckless manner. The removal of the lower guard rails on the stairwell despite many complaints from customers was responsible for Lassie’s death. The fracturing of Bob’s skull due to the barrier’s crash on the car’s roof was also the fault of Reckless Department Store because the car park was handled or mishandled by them. Finally, the malfunction of the blu-ray player must be set right by Reckless Department Store because they cannot count the number of days Bob spent in the hospital for the purpose of the sale contract (Unfair Contract Terms Act 1977, p1). Actually, Erewhon Police Service must take the initiative in handling all the three cases. This is because of Reckless Department Store’s negligence that the mishaps have occurred. Reckless’ irresponsible behavior resulted in the loss of their dog, and loss of manpower as Bob could not report for duty during his time at the hospital. The three cases must be handed to a legal expert who will be able to interpret the laws to their logical conclusions. Reckless Department Store is misinterpreting laws to its own benefits. First of all, Reckless must have closed operation or relocated elsewhere while renovation work was going on. By not keeping business closed due to renovation, Reckless was exposing customers to myriad risks and dangers. Reckless must be taken to task sufficiently so that it sends the clear message for Department Store and other businesses to close operation or relocate while renovation is in progress in their own premises. Otherwise it will become easy for others to carry on business in similar circumstances and throw up their hands when faced with litigations for accidents and losses

A Preprocessing Framework for Underwater Image Denoising Essay Example for Free

A Preprocessing Framework for Underwater Image Denoising Essay Abstract A major obstacle to underwater operations using cameras comes from the light absorption and scattering by the marine environment, which limits the visibility distance up to a few meters in coastal waters. The preprocessing methods concentrate on contrast equalization to deal with nonuniform lighting caused by the back scattering. Some adaptive smoothing methods like anisotropic filtering as a lengthy computation time and the fact that diffusion constants must be manually tuned, wavelet filtering is faster and automatic. An adaptive smoothing method helps to address the remaining sources of noise and can significantly improve edge detection. In the proposed approach, wavelet filtering method is used in which the diffusion constant is tuned automatically. Keywords: underwater image, preprocessing, edge detection, wavelet filtering, denoising. I. INTRODUCTION The underwater images usually suffers from non-uniform lighting, low contrast, blur and diminished colors. A few problems pertaining to underwater images are light absorption and the inherent structure of the sea, and also the effects of colour in underwater images. Reflection of the light varies greatly depending on the structure of the sea. Another main concern is related to the water that bends the light either to make crinkle patterns or to diffuse it. Most importantly, the quality of the water controls and influences the filtering properties of the water such as sprinkle of the dust in water. The reflected amount of light  is partly polarised horizontally and partly enters the water vertically. Light attenuation limits the visibility distance at about twenty meters in clear water and five meters or less in turbid water. Forward scattering generally leads to blur of the image features, backscattering generally limits the contrast of the images. The amount of light is reduced wh en we go deeper, colors drop off depending on their wavelengths. The blue color travels across the longest in the water due to its shortest  wavelength. Current preprocessing methods typically only concentrate on local contrast equalization in order to deal with the nonuniform lighting caused by the back scattering. II. UNDERWATER DEGRADATION A major difficulty to process underwater images comes from light attenuation. Light attenuation limits the visibility distance, at about twenty meters in clear water and five meters or less in turbid water. The light attenuation process is caused by the absorption (which removes light energy) and scattering (which changes the direction of light path). Absorption and scattering effects are due to the water itself and to other components such as dissolved organic matter or small observable floating particles. Dealing with this difficulty, underwater imaging faces to many problems: first the rapid attenuation of light requires attaching a light source to the vehicle providing the necessary lighting. Unfortunately, artificial lights tend to illuminate the scene in a non uniform fashion producing a bright spot in the center of the image and poorly illuminated area surrounding. Then the distance between the camera and the scene usually induced prominent blue or green color (the wavelength corresponding to the red color disappears in only few meters). Then, the floating particles highly variable in kind and concentration, increase absorption and scattering effects: they blur image features (forward scattering), modify colors and produce bright artifacts known as â€Å"marine snow†. At last the non stability of the  underwater vehicle affects once again image  contrast. To test the accuracy of the preprocessing algorithms, three steps are followed. 1) First an original image is converted into grayscale image. 2)  Second salt and pepper noise added to the grayscale image. 3) Third wavelet filtering is applied to denoise the image. Grayscale images are distinct from one-bit bi-tonal black-and-white images, which in the context of computer imaging are images with only the two colors, black, and white. Grayscale images have many shades of gray in between. Grayscale images are also called monochromatic, denoting the presence of only one (mono) color (chrome). Grayscale images are often the result of measuring the intensity of light at each pixel in a single band of the electromagnetic spectrum and in such cases they are monochromatic proper when only a given frequency is captured. Salt and pepper noise is a form of noise typically seen on images. It represents itself as randomly occurring white and black  pixels. An image containing salt-and-pepper noise will have dark pixels in bright regions and bright pixels in dark regions. This type of noise can be caused by analog-to-digital converter errors, bit errors in transmission. Wavelet filtering gives very good results compared to other denoising methods because, unlike other methods, it does not assume that the coefficients are independent. III. A PREPROCESSING ALGORITHM The algorithm proposed corrects each underwater perturbations sequentially.  addressed in the algorithm. However, contrast equalization also corrects the effect of the exponential light attenuation with distance. B. Bilateral Filtering Bilateral filtering smooth the images while preserving edges by means of a nonlinear combination of nearby image values. The idea underlying bilateral filtering is to do in the range of an image what traditional filters do in its domain. Two pixels can close to one another, occupy nearby spatial location (i.e) have nearby values. Closeness refers to vicinity in the domain, similarity to vicinity in the range. Traditional filtering is a domain filtering, and enforces closeness by weighing pixel values with coefficients that fall off with distance. The range filtering, this averages image values with weights that decay with dissimilarity. Range filters are nonlinear because their weights depend on image intensity or color. Computationally, they are no more complex than standard nonseparable  filters. So the combination of both domain and range filtering is known as bilateral filtering. A. Contrast equalization Contrast stretching often called normalization is a simple image enhancement technique that attempts to improve the contrast in an image by ‘stretching’ the range of intensity values. Many well-known techniques are known to help correcting the lighting disparities in underwater images. As the contrast is non uniform, a global color histogram equalization of the image will not suffice and local methods must be considered. Among all the methods they reviewed, Garcia, Nicosevici and Cufi [2] constated the empirical best results of the illuminationreflectance model on underwater images. The low-pass version of the image is typically computed with a Gaussian filter having a large standard deviation. This method is theoretically relevant backscattering, which is responsible for most of the contrast disparities, is indeed a slowly varying spatial function. Backscattering is the predominant noise, hence it is sensible for it to be the first noise Anisotropic filtering Anisotropic filter is used to smoothing the image. Anisotropic filtering allows us to simplify image features to improve image segmentation. This filter smooths the image in homogeneous area but preserves edges and enhance them. It is used to smooth textures and reduce artifacts by deleting small edges amplified by homomorphic filtering. This filter removes or attenuates unwanted artifacts and  remaining noise. The anisotropic diffusion algorithm is used to reduce noise and prepare the segmentation step. It allows to smooth image in homogeneous areas but it preserves and even enhances the edges in the image. Here the algorithm follow which is proposed by Perona and Malik [5]. This algorithm is automatic so it uses constant parameters selected manually. The previous step of wavelet filtering is very important to obtain good results with anisotropic filtering. It is the association of wavelet filtering and anisotropic filtering which gives such results. Anisotropic algorithm is  usually used as long as result is not satisfactory. In our case few times only loop set to constant value, to preserve a short computation time. For this denoising filter choose a nearly symmetric orthogonal wavelet bases with a bivariate shrinkage exploiting interscale dependency. Wavelet filtering gives very good results compared to other denoising methods because, unlike other methods, it does not assume that the coefficients are independent. Indeed wavelet coefficients in natural image have significant dependencies. Moreover the computation time is very short. IV. EXPERIMENTAL SETUP AND EVALUATION To estimate the quality of reconstructed image, Mean Squared Error and Peak Signal to Noise Ratio are calculated for the original and the reconstructed images. Performance of different filters are tested by calculating the PSNR and MSE values. The size of the images taken is 256256 pixels. The Mean Square Error (MSE) and the Peak Signal to Noise Ratio (PSNR) are the two error metrics used to compare image compression quality. The MSE represents the cumulative squared error between the compressed and the original image, whereas PSNR represents a measure of the peak error. The lower the value of MSE, the lower the error. In Table 1, the original and reconstructed images are shown. In table 2, PSNR and MSE values are calculated for all underwater images. PSNR value obtained for denoised images is higher, when compare with salt and pepper noise added images. MSE value obtained for the denoised images has lower the error when compared with salt and pepper noise added images. e D. Wavelet filtering Thresholding is a simple non-linear technique, which operates on one wavelet coefficient at a time. In its most basic form, each coefficient is thresholded by comparing against threshold, if the coefficient is smaller than threshold, set to zero; otherwise it is kept or modified. Replacing the small noisy coefficients by zero and inverse wavelet transform on the result may lead to reconstruction with the essential signal characteristics and with the less noise. A simple denoising algorithm that uses the wavelet transform consist of the following three steps, (1) calculate the wavelet  transform of the noisy image (2) Modify the noisy detail wavelet coefficients according to some rule (3) compute the inverse transform using the modified coefficients. Multiresolution decompositions have shown significant advantages in image denoising. best denoised image. In clearly, the comparisons of PSNR and MSE values are shown in Fig -1a and Fig -1b. V. CONCLUSION In this paper a novel underwater preprocessing algorithm is present. This algorithm is automatic, requires no  parameter adjustment and no a priori knowledge of the acquisition conditions. This is because functions evaluate their parameters or use pre-adjusted defaults values. This algorithm is fast. Many adjustments can still be done to improve the whole pre-processing algorithms. Inverse filtering gives good results but generally requires a priori knowledge on the environment. Filtering used in this paper needs no parameters adjustment so it can be used systematically on underwater images before every pre-processing algorithms. REFERENCES [1] Arnold-Bos, J. P. Malkasse and Gilles Kervern,(2005) â€Å"Towards a model-free denoising of underwater optical image,† IEEE OCEANS 05 EUROPE,Vol.1, pp.234256. [2] Caefer, Charlene E.; Silverman, Jerry. Mooney,JonathanM,(2000) â€Å"Optimisation of point target tracking filters†. IEEE Trans. Aerosp. Electron. Syst., pages 15-25. [3] R. Garcia, T. Nicosevici, and X. Cufi. (2002) â€Å"On the way to solve lighting problems in underwater imaging†. In Proceedings of the IEEE Oceans 2002, pages 1018–1024. [4] James C. Church, Yixin Chen, and Stephen V., (2008) â€Å"A Spatial Median Filter for Noise Removal in Digital Images†, page(s):618 – 623. [45 Jenny Rajan and M.R Kaimal., (2006) â€Å"Image Denoising Using Wavelet Embedded anisotropic Diffusion†, Appeared in the Proceedings of IEEE International Conference on Visual Information Engineering, page(s): 589 – 593. [6] Z. Liu, Y. Yu, K. Zhang, and H. Huang.,(2001) â€Å"Underwater image transmission and blurred image restoration†. SPIE Journal of Optical Engineering, 40(6):1125–1131. [7] P. Perona and J.Malik, (1990) â€Å"Scale space and edge detection using anisotropic diffusion,† IEEE Trans on Pattern Analysis and Machine Intelligence, pp.629-639. [8] Schechner, Y and Karpel, N., (2004) â€Å"Clear Underwater Vision†. Proceedings of the IEEE CVPR, Vol. 1, pp. 536-543. [9] Stephane Bazeille, Isabelle, Luc jaulin and Jean-Phillipe Malkasse, (2006) â€Å"Automatic Underwater image PreProcessing†, cmm’06 characterisation du milieu marine page(s): 16-19. [10] Yongjian Yu and Scott T. Acton, (2002) Speckle Reducing Anisotropic Diffusion, IEEE Transactions on Image Processing, page(s): 1260-1270, No. 11, Vol.11.