Shape Complexity Dynamics of Bangladesh Delta

Shape Complexity Dynamics of Bangladesh Delta Shape complexity dynamics of Bangladesh delta: A fractal dimension approach Sugata Hazra Anirban Mukhopadhyay#, Sandip Mukherjee, Abhra Chanda and Tuhin Ghosh Abstract The lower deltaic plain of Ganges Brahmaputra Delta in Bangladesh is a tidally active flood plain with anastomosing network of rivers and tidal creeks. The rapidly changing morphology of this delta is mainly due to huge sediment discharge transported down the drainage basins, it’s redistribution by tides and currents , erosion, deposition and sea level change. The shape complexity of this delta mainly near the estuaries has been a major concern for the Geomorphologists for a long time. During the recent past, the study of morphology and landscape evolution has gone through a radical change due to the advent of remote sensing techniques. The present research attempts an analysis the shape change dynamics of this deltaic island region of Sundarban for the last two decades on the basis of fractal dimension index coupled with modern remote sensing techniques. It is observed that the shape of the islands with respect to their margin irregularities are being caused due to the change in fractal geometry at the micro level which in turn is a function of sea level rise over this time period. Key words: Delta shape complexity; fractal dimension, Sundarban; Sea level rise. 1. Introduction Sundarban mangrove forest of Bangladesh comprises a huge network of small alluvial islands formed by the deposition of sediments, transported down the drainage basins of the Ganges, Brahmaputra and Meghna rivers system (Gopal et al., 2006). Deltaic erosion and morphological change are continuously seen in the Sundarban region (Ghosh et al., 2003). Innumerable tidal creeks and channels with diurnal flow reversal and rapidly changing land forms make this delta a very dynamic one. Islands are undergoing erosion and accretion, therefore the morphology is continuously changing. The changes in the morphology are mainly driven by the variable supply of sediments (Brammer, 1993) and sea level change. Shape analysis is a process which identifies the pattern of landscape. The process describes distinction between regularity and irregularity of shape (). The prime objective of the shape analysis is to understand spatial pattern of a geographical phenomena and its possible cause and predicts a probable future pattern (). Shape index, in terms of magnitude of roundness of the object or the measure of irregularity in terms of roundness, is a statistical method to quantify shape of any unit of area. In a geographic context, shape is often characterized through a compactness indicator, which describes the form of a given region based on how far it deviates from a specified norm (e.g., circle, square, or triangle). The method for calculating this number utilizes one or more of the geometric parameters of the region being measured, such as area or perimeter (Elizabeth Wentz). The surface of the earth and especially landforms are always changing due to ever dynamic exogenetic forces contributing over the transformation of landforms in every moment of time. Due to this dynamism, the shapes of the landforms are not static outside a specific scale of time thus by creating the irregularity of shapes during the transformation process. Considering the transformation process as the media, we are required to examine the quantitative characterization of the shape irregularities of deltaic islands over the progressive temporal periods. The goal of the paper is to improve the ability to compar e the shape dynamics caused due to external factors thereof over two decadal periods. Also it is to suggest a method for improving the ability to compare the shape of landforms in a GIS environment with statistical base that is less dependent on direct human intervention or intuition or visual interpretation.[t1] As the fractional geometry especially known as fractal dimension of the object is a fundamental component of the object’s geometry to measure the irregularity. Fractal dimension is a fractionary value that describes the irregular of an object and how much of the space it occupies. It is a measure of how fragmented a fractal object is which may be understood as a characterization of its self-similarity (Backes and Bruno, 2008). We have taken this element as independent variable on the micro analytical base and by extracting the same for detection of overall shape change and the temporal dynamics of islands as the dependent variable on the macro analytical base over two decades. Sea level rise is found to be causal factor behind this dynamics. Present study aims at shape complexity dynamics study of Bangladesh Sunderban from 1999 to 2010 in the framework of Fractal Dimension (FD) and Shape Index (SI) analysis. 2. Study area and datasets Bangladesh, a low lying flood plain delta is the land of rivers and canals. This[t2] delta is formed at the confluence of Ganges-Brahmaputra-Meghna river system and their respective tributaries. Pramanik (1983) has divided the coastal zone of Bangladesh into three main regions namely eastern region, central region and western region. Our present study is mainly on the islands of central and western coastal regions. Central coastal zone extends from Feni river estuary to the eastern corners of the Sunderban. The zone receives a large volume of silt deposition from Ganga, Brahmaputra and Meghna river system. The sediment load comprises more than 70% of the silt with additional 10% sand (Sarwar, 2005). The morphology of this zone is very much dynamic due to huge river discharge and strong current leading to high rate of erosion and accretion. Numerous islands are located in this region. Many islands have formed by the accretion and many have disappeared in last few years due to erosion. Western region is mainly covered by Sunderban mangrove forest. Due to presence of mangrove forest this zone is comparatively stable in terms of erosion. The main characteristics of this zone are mangrove swamps, tidal creeks and mud flats. This region lies at 0.9 to 2.1 m above mean sea level (Iftekhar and Islam, 2004). Soil is of mainly silt loam or alluvial type. This region is very important for tourism due to Sunderban[t3]. Landsat TM-5 images of the year 1999 and 2010, 30 m spatial resolution, of Bangladesh Sunderban have been taken for this study. The path/row no of this datasets is[t4] †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. Satellite altimeter data of TOPEX (NASA) is taken for measurement of regional mean sea level using Nadir Pointing Radar Altimeter. The sea level rise is computed from the tide gauge measurement of various observatory of Bangladesh such as Hiron Point, Khepupara and Charchanga. Figure 1 3. Methodology The step by step procedures have been followed to examine the fact and to establish the concept. The raster and vector data processing and statistical analysis have been implemented in the remote sensing and GIS environment, the detail of which is furnished in the flow chart: Figure 2 3.1 Satellite data processing Two satellite imagery of different time (1999 and 2010) is taken into consideration in this study. Landsat TM-5 datasets were downloaded from the http://glovis.usgs.gov website. All the datasets are projected in UTM projection with zone no 45 and WGS 84 datum. 3.2 Measurement sea surface height variation The measurement of regional mean sea level and sea level anomaly is computed from satellite altimeter data of TOPEX (NASA-built Nadir Pointing Radar Altimeter using C band, 5.3 GHz, and Ku band, 13.6 GHz, and POSEIDON (CNES-built solid State Nadir pointing Radar Altimeter using Ku band, 13.65 GHz). The datasets are analyzed for measuring sea surface height from the year 1992 to 2012. Inverted barometer correction was applied to improve thedata quality (). 3.3 Delta morphology analysis This raster data format is changed to vector format by three successive stages. First is the digitization of the raw images in line layers. Once digitization is successfully completed, topology was built followed by the polygon building. After polygon building, creek and landmass layers are separated for two years. The landmass layers of polygons have converted to raster format again in order to use as the input for fractal dimension and shape index calculation in Fragstats (version 4.1) software. Fractal dimension and shape index are calculated using equation 1 and 2 (Jorge and Garcia, 1997). Shape Index = (1) Where, P is the perimeter of the polygon and A is the polygon area. If the polygon value is 1.0 it expresses maximum compaction, where the shape is circular. As the shape becomes more complex the SI increases. FractalDimension Index (D) = (2) The self similarity ratio and N is the number of step size here. Then[t5] the curve is defined as self-similar with fractal dimension D. FD of a curve may be any value D ranges from 1.0 to less than 2.0 for lines, and from 2.0 to less than 3.0 for surfaces. The higher the spatial complexity of a line or surface, the higher its fractal dimension (Nayak, 2008). Index Number Analysis[t6] is carried out to calculate the gradual changes of both the factors having the base year as 1999. The Simple Aggregative Index of FD (Eq. 3) and Simple Aggregative Index of SI (Eq. 4) are calculated to identify the change in FD and SI. The Fisher’s Ideal Index (I0n) is also computed to see the relative change of SI and FD during the period 1999 and 2010 (Eq. 5). It is a compound index calculated from Laspeyres’s Index and Paasche’s Index (). The relation between FD and SI is analysed in terms of regression and correlation to identify the relation between island shape and fractal geometry[t7]. Simple Aggregative Index of FD (I0n) = (∑pn / ∑p0) x 100(3) Simple Aggregative Index of SI (I0n) = (∑qn / ∑q0) (4) Fisher’s Ideal Index(5) Laspeyres’s Index = ∑qn p0/ ∑q0 p0 Paasche’s Index = ∑qn pn/ ∑q0 pn Fisher’s Ideal Index (I0n) = √(Laspeyres’s Index/ Paasche’s Index) x 100 Result and discussion Statistical analysis of change in delta morphology †¦..[t8] The histograms of Fractal Dimension Index (Figure 3) and Shape Index (Figure 4) have been analyzed separately to examine the general statistical trends of the data. The summery of the histograms of FD and SI of the year 1999 is listed in the Table[t9] 1. It is observed that the modal frequency class has been defragmented into the higher FD values beyond the median range of 1.056 in 2010 and also the fractal diversity increases by 2 new classes in this year. The histograms of FD and SI of the year 2010 are summarized in the Table 2. It is perceived that despite of being the modal class persistent, the frequency in the modal class is defragmented and distributed into higher SI classes beyond the median value of 1.475 and also 4 new SI classes are detected in the progressive period of 2010. Figure 3 Table 1 Figure 4 Table 2 The Simple Aggregative Index of FD and SI are shown (Box 1) which is 101.49% and 117.26% respectively. The Simple Aggregative Index shows there is only 1.49% increase in FDI whereas SI increases by 17.26% in between 1999 and 2010, revealing about 8.63% changing effect of FDI over Shape Index. The Simple Aggregative Index of FDI and SI have confirmed that both the FDI and SI increases in this period and there is a definite changing effect of fractal geometry over the shape of the islands between 1999 to 2010 whereas the magnitude of the changing effect is only 8.63%. The Fisher’s[t10] Ideal Index (Box 1) shows that the SI has increased with respect to FD by 5.19% from 1999 to 2010. It is signifying the there is a positive increase of shape diversity with respect to fractal diversity within the specified time period. Relationship between FD and SI The scatter plots and linear regression of FD and SI for 1999 and 2010 depicts that there is a strong positive relation of FD and SI of the Islands. The magnitude of Pearson’s correlation (r-value) increases with strong positive response in the 2010 is revealing that trend of changing shape diversity of Islands in terms of FD is increasing towards the gradual period. Both the r-values are positive and it is also evident that the relation of Island shapes with their fractal geometry becomes stronger in the progressive period of 2010 as the r-values have changed from 0.44 to 0.73. Figure 5 The causal factor of Shape Dynamics-Sea Level Changes To find the root cause of the shape[t11] dynamics of delta region, two main exogenetic factors have been examined on spatio-temporal basis such as creek density and sea level change. Creeks density is calculated for the year 1999 to 2010 by dividing the length of creek with the area of the island, which shows there is also a trend of gradual increase especially in mangrove forest area on the sea shore margin. It is observed that values of creek density increases towards the sea shore region where the sea water along with wave action is more active rather than dynamic river water in the inland areas which is shown in the Figure 6. Except one region the creek density is higher on the sea margin. The increase creek density may be the reason for formation of several islands in the central coastal zone due to defragmentation. Figure 6 The temporal data of sea level changes of three observation points i.e., Hiron Point, Khepupara and Charchanga (Figure 7) are analyzed to identify the sea level changes within 1979 to 2000, shown in Figure 8. The progressive graph of the data of this temporal period exhibits an average positive gradual trend of sea level rise in this region. Figure 7 Figure 8 To examine the causal source of that diversity and we have definitely found that there remains [t12]a positive sea level anomaly of 2.80 mm in between 1992 to 2012 in the concerned region (Figure 9). The fact again signifies that the sea level rise in the study area which contributes the changes of delta morphology capture in fractal geometry ultimately resulting into dynamism of island shapes over the progressive temporal period[t13]. Figure[t14] 9 Conclusion The objective of the present study is to analyse the shape complexity dynamics of Bangladesh Sunderban delta in between 1999 to 2010. The dynamism of the delta shapes is analysed using in terms of fractal dimension and shape index. The change in fractional geometry of island/delta within the specified time period is captured and the observations are strengthening with the help of other statistical indices. The analysis of FD and SI parameters of islands indicate that there is an exponential relation of Shape complexity with the changing FD within 1999 to 2010. The[t15] shape complexity of the islands of Bangladesh is increasing which is clearly evident from this study. There may be several factors for this complexity. Of these, sea level rise and creek density are important factors because Bangladesh is highly vulnerable to sea level rise (Brammer et al., 1993). But still there is no specific regional scenario for net sea level rise because the Ganga-Brahmaputra-Meghna delta is still active and having dynamic morphology and delivers approximately 1.6 billion tone sediment at the face of Bangladesh annually (Broadus, 1993), while there are some parts where land is subsiding due to tectonic activities (Huq et al., 1996). So this sediment replenishment is considered to balance subsidence of delta (Agarwala et al., 2003). This sediment deposition along with strong tidal current is the reason for the formation of some new islands in the central coastal zone in last few years. But still it needs more detail scientific study to reveal the dynamic s of this delta complex and a lot of time series data of sea level rise to comment on this. It is also notable that result FD computation is varies over the scales. Hence, the observation and conclusion is valid only on the existing scale over which the experiment is carried out. It is also pointed out that further study may be undertaken to make more reasonable judgment over it. [t1]Need modification [t2]Co-ordinate, geographical extent [t3]No. of islands taken into consideration [t4]Path / row [t5]Model name [t6]What these indices indicates or signify [t7]Why used in this study (indices) [t8]Write something here [t9]Analyse more about table 1 and 2 [t10]Significance [t11]Is there any other cause like thermal expansion . at least mention it [t12]modify [t13]overall comments: write something about physical significance at least one or two paragraph. Things are statistically analysed physical significance and observation is necessary. [t14]Try to give a or two delta figure of two time with FD and SI value ebbraded to show the change in shape and FD relation. [t15]Check the conclution once

Sociology Concepts on the Individual and Society

Sociology Concepts on the Individual and Society Sociology developed as an academic discipline throughout the 18th and 19th centuries. Provide an explanation of the historical and social context from which sociology developed. Sociology has its roots in the changes within the society since the 18th and 19th centuries as there was the industrial revolution, the creation of empires, and the enlightenment of scientific reasoning ( Bauman and May 2001, p. 3). Furthermore, early practitioners developed the discipline as an attempt to understand the societal changes. During the 1960s, especially, it became a major social science subject. ( Do mention capitalism) Moreover, sociology is determined as a new academic discipline as it emerged in the early 19th century in response to the challenges of modernity (British sociology). Eventually, there was an increasing exposure of people to cultures and societies different from their own due to the increasing mobility and technological advancement. Throughout this exposure, there was variation in the way people would eventually accept the sociology as a discipline. However, for some people it included the breakdown of traditional norms and customs and warranted a nuanced understanding of how the world works. Furthermore, the term Sociology was coined by Auguste Comte in 1838. Comte hoped to unify all the sciences under sociology he believed sociology held the potential to improve society and direct human activity. In addition, the development of sociology was first recognized in the mid-19th century by the English philosopher Herbert Spencer as he had written a book with term Sociology in its title. In the United States, the first sociology course was taught at the University of Kansas, Lawrence in 1890 under the title Elements of Sociology. In brief, sociology emerged in Comte’s vision; it eventually subsuming all other areas of scientific inquiry, sociology did not replace the other sciences. Indeed, in the past decades, sociological research focused on the organization of complex, industrial societies and their influence on individuals. Today, sociologists study a broad range of topics which can be structures that deals with the organization of the society such as race or ethnicity, social class and gender roles. This shows the development of sociology throughout the years. Sociology involves a unique way of thinking. What are the features of sociological thinking and C. Wright Mills Sociological imagination? Sociology involves a unique way of thinking as one should have a broad mind in order to see little difference in everyday routine (Johnson Bethany 03 June 2015). Indeed, the sociological imagination is a concept used by the American sociologist C. Wright Mills to describe the ability to â€Å"think yourself away from the familiar routines of everyday life† and look at them from an entirely new perspective (Johnson Bethany 03 June 2015). In order to develop such skills, one must be able to free yourself from one context and look at things from an alternative point of view (Johnson Bethany 03 June 2015). Furthermore, Mills defined sociological imagination as â€Å"the vivid awareness of the relationship between experience and the wider society† (Johnson Bethany 03 June 2015). It is a way of thinking about things in society that have led to some sort of outcome, and understanding what causes led to that outcome. The sociological imagination is the ability to see things socially and how they interact an influence each other. According to the theorist C. Wright Mills who stated that to do this; one must use critical thinking skills, such as the use of the sociological thinking. In addition, the sociological thinking and sociological imagination are intertwined and works together. In brief, Mills deduced that one of the key ways people understand society and social change is to apply the sociological imagination. This involves something called making the familiar strange, or questioning and critiquing the world around us. It is similar to putting on a new pair of glasses, in this case with sociological lenses, seeing our society and the everyday behaviors and interactions we usually take for granted in a different way. In this case of analyzing the society critical thinking is a mean of understanding the surroundings in different perspectives. One way of using sociology to understand the relationship between the individual and society is to use different perspectives and models of society. Explain and contrast the key features of macro and micro models of society. Sociology has helped to understand the process of relationship between the individual and society. The society has contributed to the interaction, cooperating, and acting with one another. Furthermore, the question that arises is how to behave in one’s society, what is right and what is wrong, all these things has to be learn in the society (Mondal, 2015). Indeed macrosociology involves the study of widespread social processes whereas microsociology involves the study of people in face to face interactions. Firstly, macro and micro level studies each possess their own benefits and disadvantages. For instance, macrosociology allows observation of large-scale patterns and trends, but runs the risk of seeing these trends as abstract entities that exist outside of the individuals who enact them on the ground (Mondal, 2015). Beneath, examples can be objective or subjective in accordance with macro studies such as: society, law, bureaucracy, architecture, technology and language for objective aspects. In addition, subjective examples would be culture, norms and values (Mondal, 2015). In contrast to macro level, microsociology allows for this on-the-ground analysis, but can fail to consider the larger forces that influence individual behavior. However, sociological analysis can take place at micro level, and can be subjective or objective. Classifying the objectives examples would be patterns of behavior, action, and interaction (Mondal Puja 02 June 2015). In addition, subjective examples would be perception, beliefs and the various facets of the social construction of reality (Mondal, 2015). In brief, it can be deduced that macro and micro level studies plays an important role within the society. It helps in the process of integration of the individual and the sustainability of the society. Using sociological concepts and theories, explain the relationship between the individual and society. Answer should include explanations of the following: how the key sociological concepts of socialization, social order and social stratification can be applied to the analysis of the relationship between the individual and society. How a theory of consensus, a theory of conflict and a theory of social action can be applied to an analysis of the relationship between the individual and society? Sociologists develop theories to explain social phenomena. A theory is a proposed relationship between two or more concepts such as theory of consensus, a theory of conflict and a theory of social action and can be applied to an analysis of the relationship between the individual and society. In other words, a theory is explanation for why or how a phenomenon occurs (Putnam, Robert, 2001).In addition, the relationship between individual and society can be viewed from three angles that are functionalist, conflict and symbolic interaction perspective. Secondly, functionalist perspective focuses upon the macro level as it takes into consideration the individual as formed by society through the influence of such institution as the family, school and workplace (Mondal,2015). Furthermore, functionalism draws its inspiration primarily from the ideas of Emilie Durkheim (Durkheim, and Lewis A. Coser. 1997). Indeed the functionalist deals up with rules and status that exists in society so as to provide social control or social order as it is necessary for survival. Durkheim pursued to explain social cohesion and stability through the concept of solidarity as the individual and the society would perform similar tasks that held the society together. Based on the metaphor of an organism in which many parts function together to sustain the whole, Durkheim argued that modern complex societies are held together by organic solidarity (think interdependent organs) (Durkheim, and Lewis A. Coser. 1997). Thirdly, there is conflict theory maintains that society as a complex system striving for equilibrium in contrast to functionalist but rather as a competition. Society is made up of individuals competing for limited resources (e.g., money, leisure, sexual partners, etc.) (Smith, Christian. 2003). However, the conflict theory contributes to social change in contrast to the functional approach. In fact, there are primary assumptions of conflict theory that are; consensus is characteristic of human relationships rather than competition, individuals and groups that benefit from any particular structure strive to see it maintained (Smith, Christian. 2003). Last but not the least, there is symbolic theory which may involves exchange of communication or symbols among individuals. Here, the symbolic plays a prominent role in relationship with the individual and the society as it involves interchanging of culture and teaching. Symbolic theory argues that people become selves by learning and internalizing the symbolic materials of the social and historical context and culture they are born into and raised within (e.g., the individual is formed by the society), and then act back upon and alter societies (e.g., norms, cultures and structures) by deploying the symbolic resources at their disposal throughout the course of their ongoing lives (e.g., the society is formed by the joint action of individuals) (Merton, Robert 1957). Thus to conclude, the a theory of consensus, a theory of conflict and a theory of social action can be applied to an analysis of the relationship between the individual and society as it can be deduced that each theory plays an integral part within the society. Each theory has its own contribution to the upbringing, stability and continuous survival of the society. References Question 1 Bauman and May 2001 introduction(Bauman and May 2001, chapter 10, Thinking Sociologically) http://studymore.org.uk/ybaumay.htm http://www.britsoc.co.uk/what-is-sociology/origins-of-sociology.aspx Accessed on 1:57 PM 21 June 2105 NPTEL – Humanities and Social Sciences – Introduction to Sociology http://www.nptel.ac.in/courses/109103023/download/Lecture%201.pdf Accessed on 2:05 PM 21 June 2015 Question 2 Bethany Johnson C. Wright Mills and his view on the power elite and the sociological imagination. http://www.Study.com. Accessed on 11:52 am 03 June 2015 http://wps.prenhall.com/ca_ph_johns_ob_6/0,9429,15101501510152,00.html Accessed on 11:52 am 03 June 2015 Question 3 Boundless. â€Å"Levels of Analysis: Micro and Macro.† Boundless Sociology. Boundless, Assessed on 14:29 pm 27 Jun. 2015. Mondal Puja 02 June 2015 https://www.google.com/search?q=One+way+of+using+sociology+to+understand+the+relationship+between+the+individual+and+society+is+to+use+different+perspectives+and+models+of+societyie=utf-8oe=utf-8 Assessed on 09:00 am 26 June, 2015 www.123helpme.com/view.asp?id=107262 Assessed on 10:15 am 26 June, 2015 www.ukessays.com †º Essays †º Sociology Assessed on 11:00 am 26 June, 2015 Question 4 Durkheim, Emile, and Lewis A. Coser. 1997. The Division of Labor in Society. Free Press. Mondal Puja 02 June 2015 https://www.google.com/search?q=One+way+of+using+sociology+to+understand+the+relationship+between+the+individual+and+society+is+to+use+different+perspectives+and+models+of+societyie=utf-8oe=utf-8 Assessed on 09:00 am 26 June, 2015 Putnam, Robert D. 2001. Bowling Alone: The Collapse and Revival of American Community. 1st ed. Simon Schuster. Merton, Robert (1957). Social Theory and Social Structure, revised and enlarged. London: The Free Press of Glencoe. Smith, Christian. 2003. The Secular Revolution: Power, Interests, and Conflict in the Secularization of American Public Life. 1st ed. University of California Press.

History of Computer Animation :: Computers Animation Essays

History of Computer Animation To look at him, you would not think that Phil Tippett is the creator of some of the most horrific and terrifying monsters ever witnessed by the human race. A quite normal-looking man of average height, with thinning grey hair, he has been at the forefront of movie animation for almost three decades. Phil Tippett is one of the greatest animators of all time, starting off with the age-old techniques of stop-motion and then moving on to the technical computer generated wizardry of today. I chose to write about him because I greatly admire the work he had done in the industry and he has witnessed first hand the technological advances that have occurred during the course of his career. I am also interested in him because as well as being involved in the field of cgi special effects (a career which I also wish to pursue), he was also closely involved in the ground-breaking (for the time) special effects and animation in the Star Wars Trilogy, which happens to be another love of mine. Born in 1951 in Illinois, Tippett has had a lifelong fascination with the art of animation. During his childhood he was fascinated by films such as King Kong and Jason and the Argonauts. He was fascinated by the surreal images in these movies and wanted to know how they were achieved. He went to his local library to research the subject and discovered the principles of stop motion. One of his favourite childhood hobbies was to make stop motion films with his father’s old movie camera. Tippett had been a lifelong devotee of stop motion as practiced by masters like Willis O’Brien in King Kong (1933) and Ray Harryhausen in The 7th Voyage of Sinbad (1958) and Jason and the Argonauts (1963). Stop motion was, and still is an intricate, painstaking art in which animators pose and photograph miniature figures frame by frame. He wasn’t alone. â€Å"Just about every top animator or effects man today has favorite Harryhausen figurines, such as the part-rhino, part-centaur Cyclops, the serpent woman, and the two-headed Roc bird from Sinbad; or, from Jason, the harpies that are a cross between gargoyles and pterodactyls, and the seven-headed Hydra and its spawn† (ILM). In traditional stop motion (still practiced by Henry Selick in marvels like The Nightmare Before Christmas and James and the Giant Peach), the camera records a series of subtly different poses rather than actual shifting, so the resulting flow of images is inherently surreal -- ultra-sharp and jerky.

Analysis of The Tulse Luper Suitcases Trilogy Essay -- Peter Greenaway

History and time are considered to be cultural formations since a History cannot be detached from the culture in which it is produced and received. It is through culture that a historical sense is achieved and in fact, each culture experiences History in a different way leading us to the current perception of History as not being one, but many histories depending on the cultural groups involved. Historians have fought throughout the centuries on whether such thing as â€Å"objective History† can exist but in the end, even materialist historians will admit that the reality of History is so complicated and contradictory that no single version could possibly represent the truth; consequently different interpretations are inevitable. This is where Peter Greenaway comes in with his trilogy The Tulse Luper Suitcases in which the eponymous suitcases (of which there are 92) contain the collected memories of Tulse Luper, a manic collector of forgotten records and other evidence of the twentieth century. Devised as a trilogy, Peter Greenaway’s multimedia project concentrates on a period between 1928, the year in which the element uranium was discovered in Colorado, and 1989, the year when the Berlin wall came down and the Cold War came to an end. The two central events of the past one hundred years – the confrontation between East and West and the threat of atomic warfare – have left their mark on writer and realizer of projects Tulse Luper, who spends most of his time detained in some form of prison or another. Luper’s role is hard to define: his many encounters, the injuries he has sustained and fragments of sentences that surface from his memory, all combine to produce a complex weave or structure that includes both various periods in time a... ...aware of in his film, through the opposition between the reality of History on the one hand and the fiction of the Luper project on the other, the truth and stability of what really happened and the playful construction presented by Greenaway, the unincarnated omniscience of reality and the awkward contextualization provided by the Luper point-of-view. According to Greenaway, History does not exist in an absolute, unmediated form, but will always be filtered through the perceptions, interpretations and values of subjects as experiencers, filing instances, historians and readers. The event "as it was" thus can never be recovered in an absolute form and that is why â€Å"there is no such thing as History, [but] only historians† whose collective work only, can serve as a somewhat effective record of History.

Cis11 Assessment 1

Safety Styles Pty Ltd Financial Information Ratios and Financial Data Profitability201020112012 Return on assets30. 2%31. 46%31. 48% Return on equity32. 62%34. 02%34. 07% Gross profit margin57. 55%57. 51%57. 93% Net profit margin16. 04%13. 90%14. 35% Efficiency Asset turnover (times)1. 882. 262. 19 Inventory turnover (days)95. 6290. 5595. 10 Accounts receivable turnover (days)50. 3742. 6645. 16 Liquidity Current ratio4. 124. 13. 91 Quick asset ratio2. 462. 452. 21 Capital Structure Gearing ratio2. 372. 62. 54 Safety Styles Pty Ltd Application Decision It would be my recommendation to grant Safety Styles their application for additional finance. Profitability: Safety Styles Pty Ltd has demonstrated in is able to generate and increase its profits as demonstrated through the healthy Gross and Net Profit Margins. It should be noted during this three year period Safety Styles Pty Ltd has maintained and increased the Gross Profit margin, Safety Styles Pty Ltd has also maintained a healthy Net Profit Margin.Although dropping slightly the second year they have managed to improve this in their third year increasing their overall profitability Safety Styles has also increased both its Return on Assets and Return on Equity, this demonstrates the ability of the company to efficiently make use of its assets and equity which ultimately reduces requirements for more funding and reduces cost making better use of what they currently have. Efficiency: Safety Styles Pty Ltd appears on average over the last three years to be improving its efficiency to make better use of their assets and turning over their inventory.Safety should also focus on this area and strive to improve their efficiency. Whilst the values may seem quiet higher their total sales amount has raised which may not be taken into account with averages. Safety Styles may need to revisit their inventory strategy as their turn over period is quite high; this would be a benefit for them in the long term by having quicke r access to cash for investment in other assets. They should also pay attention to their Accounts Receivable Turnover and aim to reduce this. Liquidity:Whilst Safety Styles Current ratio and Quick asset ratio is declined they are both still very healthy numbers. Safety Styles non-current assets have been increasing annually. They may want to pay attention to reducing their inventory levels and accounts receivable to give them more cash and the opportunity to invest into non-current assets or reduce their liabilities as they currently has a low level of cash compared to inventory and accounts receivable. This will make the company more â€Å"liquid† in the short term.Safety Styles also has a very healthy quick asset ratio compared to the industry standard of 2. It should be noted that Safety Styles currently do not have a high level of liabilities and seem to be maintaining their levels of dent in relation to their assets Capital Structure: Safety Styles currently have a very low gearing ratio and are using retained earnings for most of their financing. External sources of financing will be a benefit to Safety Styles to help them grow and invest in additional non-current assets. Executive SummarySafety Styles appear to be utilizing their assets and equity very well currently to help produce their profit and maintain both healthy gross and net profit. If this is maintained they should be able to repay their long term liabilities and possibly improve their current asset liquidity. ? Appendix Formulas †¢Return on Assets = (Net profit before interest and taxation / Average total assets) x 100 †¢Return on Equity = (Net profit after tax and preference dividends / average ordinary shareholder’s funds) x 100 †¢Gross Profit Margin = (Gross profit / sales) x 100 Net Profit Margin = (Net profit before interest and taxation / sales) x 100 †¢Asset Turnover Ratio = ( Sales / Average Total Assets) †¢Inventory Turnover = (Average inventor y / cost of sales) x 365 †¢Accounts Receivable Turnover = (Average accounts receivable / credit sales) x 365 †¢Current Ratio = (Current assets / current liabilities) †¢Quick Asset Ratio = (Current assets (excluding Inventory and prepayments) / current liabilities) †¢Gearing Ratio = (Long-term liabilities / share capital + reserves + long-term liabilities) x 100 Ratio definitions †¢Return on Assets The Return on Assets (ROA) demonstrates how effectively a company is using its assets to generate profit. The higher the ROA the better as the company is earning more off less investment †¢Return on Equity oThe Return on Equity (ROE) demonstrates the amount of net profit generated as a percentage of the shareholders equity. A higher ROE is better as it displays how much profit is generated based on shareholder investment. †¢Gross Profit Margin oThe Gross Profit Margin (GPM) is used to display the percentage difference between sales and the cost of sales b efore any other costs are factored in.A higher GPM is better as the company is making a higher profit off its sales †¢Net Profit Margin oThe Net Profit Margin (NPM) is used to display the net profit as a percentage of the revenue generated. A higher NPM is better as it indicates a more profitable company and how effective a company is at controlling its costs †¢Asset Turnover Ratio oThe Asset turnover Ratio (ATR) displays how well a business can use its assets in generating sales or revenue. A higher ATR is better as it demonstrates the amount of dollars generated by one dollar of the company's assets †¢Inventory Turnover The Inventory Turnover formula display how often the company sells and replaces its inventory. A low Inventory turnover is preferred as this means cash is not being held in inventory, is producing more revenue and has access to an ongoing source of cash †¢Accounts Receivable Turnover oThe Accounts Receivable turnover displays the average settlem ent period (days) credit purchased are settled by the customer. A shorter average settlement period is preferred as this means funds are not tied up and can be †¢Current Ratio This ratio is compares a company’s current assets and current liabilities to measure the liquidity. A higher ratio is preferred as it generally means the business can meet their commitments †¢Quick Asset Ratio oThe Quick Asset Ratio (QAR) also known as the â€Å"Acid Test Ratio† measures if a company can meet its short term liabilities with its current assets less its inventory as you can’t always rely on inventory to be converted into cash quickly. A higher ratio means the company is in a better position †¢Gearing Ratio The Gearing Ratio (GR) measures how much capital is financed by long term finance. A high gearing ratio means a company will depend of long term loans, a low gearing ratio displays higher reliance on financing through equity investment. Typically a high leve l of gearing means a higher level of risk for the company. Ratio Calculations †¢Return on Assets o2010 – (647 / ((2122 + 2163) /2)) x 100 o2011 – (685 / ((2233 + 2122) /2)) x 100 o2012 – (712 / ((2291 + 2233) /2)) x 100 †¢Return on Equity o2010 – (585 / ((1774 + 1813) /2)) x 100 2011 – (619 / ((1865 + 1774) /2)) x 100 o2012 – (644 / ((1916 + 1865) /2)) x 100 †¢Gross Profit Margin o2010 – (2321 / 4033) x 100 o2011 – (2834 / 4928) x 100 o2012 – (2875 / 4963) x 100 †¢Net Profit Margin o2010 – (647 / 4033) x 100 o2011 – (685 / 4928) x 100 o2012 – (712 / 4963) x 100 †¢Asset Turnover Ratio o2010 – (4033 / ((2122 + 2163) / 2)) o2011 – (4928 / ((2233 + 2122) / 2)) o2012 – (4963 / ((2291 + 2233) / 2)) †¢Inventory Turnover o2010 – (((((216 + 175) + (223 + 283)) / 2) / 1712) x 365) o2011 – (((((235 + 298) + (223 + 283)) / 2) / 2094) X 365) 2012 â €“ (((((235 + 298) + (230 + 325)) / 2) / 2088) X 365) †¢Accounts Receivable Turnover o2010 – ((((561 + 552) / 2) / 4033) x 365) o2011 – ((((561 + 591) / 2) / 4928) x 365) o2012 – ((((637 + 591) / 2) / 4963) x 365) †¢Current Ratio o2010 – (1257 / 305) o2011 – (1324 / 323) o2012 – (1272 / 325) †¢Quick Asset Ratio o2010 – (((1257 – (223 + 283)) / 305) o2011 – (((1324 – (235 + 298)) / 323) o2012 – (((1272 – (230 + 325)) / 325) †¢Gearing Ratio o2010 – (((43 / (70 + 1704 + 43)) x 100) o2011 – (((45 / (70 + 1795 + 45)) x 100) o2012 – (((50 / (70 + 1846+ 50)) x 100)

Random Sampling Techniques

at that steer argon many shipway to ask a stochastic exemplar. quadruple of them argon discussed below Simple ergodic try In this sampling technique, a ready warning of the very(prenominal) size has the same fortune of being recognizeed. Such a essay is call(a)ed a truthful hit-or-miss render. ace way to tell apart a saucer-eyed stochastic smack is by a lottery or toping. For example, if we impoerishment to select 5 students from a discipline of 50, we pen for separately one of the 50 name on a separate piece of opus. Then, we place all 50 names in a hat and flow them thoroughly.Next, we draw 1 name hit-or-missly from the hat. We meet up this experiment four more times. The 5 drawn names bedevil up a ingenuous(a) random consume. The s subroutine to select a ingenuous random sample is to employ a bow of random numbers, which has get under ones skin an over-the-hill procedure. In this age of technology, it is much easier to handling a statistical package, much(prenominal) as Minitab, to select a childly random sample. Systematic Random sample The simple random sampling procedure becomes truly tedious if the size of the cosmos is large.For example, if we pauperisation to select cl households from a come of 45,000, it is very time overpowering either to write the 45,000 names on pieces of paper or indeed select 150 households or to use a table of random numbers. In such cases, it is much convenient to use dogmatic random sampling. Stratified Random try out conceive we need to select a sample from the commonwealth of a city, and we necessitate households with contrasting income levels to be proportionately represent in the sample.In this case, instead of selecting a simple random sample or a arrogant random sample, we whitethorn opt to take a diametric technique. First, we discriminate the safe and sound population into different groups found on income levels. Thus, whenever we observe th at a population differs astray in the possession of a characteristic, we may prefer to assort it into different strata and thus select one sample from each stratum. We can carve up the population on the basis of any characteristic, such as income, expenditure, sex, education, race, employment, or family size.Cluster try out sometimes the cigaret population is scattered over a wide geographical area. Consequently, if a simple random sample is selected, it may be costly to contact each constituent of the sample. In such a case, we divide the population into different geographical groups or clusters and as a starting line standard select a random sample of authorized clusters from all clusters. We then take a random sample of indisputable elements from each selected cluster. For example, suppose we are to get hold of a pile of households in the produce f New York. First, we divide the entirely state of New York into, say, 40 regions, which are called clusters or primar y units. We bump off certain(p) that all clusters are connatural and, hence, vocalism of the population. We then select at random, say, 5 clusters from 40. Next, we haphazardly select certain households from each of these 5 clusters and conduct a survey of these selected households. This is called cluster sampling. Note that all clusters moldiness be representative of the population.Random Sampling TechniquesThere are many ways to select a random sample. Four of them are discussed below Simple Random Sampling In this sampling technique, each sample of the same size has the same probability of being selected. Such a sample is called a simple random sample. One way to select a simple random sample is by a lottery or drawing. For example, if we need to select 5 students from a class of 50, we write each of the 50 names on a separate piece of paper. Then, we place all 50 names in a hat and mix them thoroughly.Next, we draw 1 name randomly from the hat. We repeat this experiment four more times. The 5 drawn names make up a simple random sample. The second procedure to select a simple random sample is to use a table of random numbers, which has become an outdated procedure. In this age of technology, it is much easier to use a statistical package, such as Minitab, to select a simple random sample. Systematic Random Sampling The simple random sampling procedure becomes very tedious if the size of the population is large.For example, if we need to select 150 households from a list of 45,000, it is very time consuming either to write the 45,000 names on pieces of paper or then select 150 households or to use a table of random numbers. In such cases, it is more convenient to use systematic random sampling. Stratified Random Sampling Suppose we need to select a sample from the population of a city, and we want households with different income levels to be proportionately represented in the sample.In this case, instead of selecting a simple random sample or a systemat ic random sample, we may prefer to apply a different technique. First, we divide the whole population into different groups based on income levels. Thus, whenever we observe that a population differs widely in the possession of a characteristic, we may prefer to divide it into different strata and then select one sample from each stratum. We can divide the population on the basis of any characteristic, such as income, expenditure, sex, education, race, employment, or family size.Cluster Sampling Sometimes the target population is scattered over a wide geographical area. Consequently, if a simple random sample is selected, it may be costly to contact each member of the sample. In such a case, we divide the population into different geographical groups or clusters and as a first step select a random sample of certain clusters from all clusters. We then take a random sample of certain elements from each selected cluster. For example, suppose we are to conduct a survey of households in the state f New York. First, we divide the whole state of New York into, say, 40 regions, which are called clusters or primary units. We make sure that all clusters are similar and, hence, representative of the population. We then select at random, say, 5 clusters from 40. Next, we randomly select certain households from each of these 5 clusters and conduct a survey of these selected households. This is called cluster sampling. Note that all clusters must be representative of the population.

Harlem by Langston Hughes Essay

Harlem has skillfully summed up the pathos and miseries of black life and its reason for socio-cultural strife in the American caller and history in few lines. It contains the two essential element of any great break up of literature i.e. brevity and comprehensiveness. Langston Hughes takes into account the social preserve of deferred dream and provides a clear allusion that these deferred dreams went off in the form of social unrest and increased hatred between Black and White communities in the mid-fifties and sixties. Langston skillfully uses the symbols of decadence to epitomize the putrefying society and thence suddenly questions about the ultimate outcome.On a broader level, this poem also refers to American Dream that aimed at the attainment of material gains only. This social goal omit the social equity and turned American society into a wasteland. So true dreams got deferred and exploded in the form of civil rights movement and social-political conflicts of 1960s.He u ses sinewy imagery to emphasize the magnitude of decadence that deferred dreams beat with the passage of time. For example raisin de nones a darkened word of mouth that remains constantly exposed to sun. So a deferred dreams feeds on the pathetic beams of social miseries and turns soar. Although on the heighten level the net effect seems negative yet one must keep in approximation that raisin is savory too.So his revolutionary vision was base on a peaceful and progressive world. Langston weaved dreams not only for the common Afro-American folk exclusively also for poets of incoming generations. This dream-maker influenced the future poets to create organize based in their own roots and values. So his dream deferred did not dry up care a raisin in the sun or discharge like a sore but it exploded in a positive by influencing his reader and future writers alike.