Japanese Street Fashion - 2780 Words

Research question #1: What are the characteristics of the Japanese street fashion? Japanese Street Fashion By Jennie Gandhi [pic] While considered by many as daring, outlandish and provocative, Japanese fashion has come a long way from being just about kimonos and school uniforms. Their eye-popping and flamboyant outfits have largely been influenced by Japans huge underground club scene. Tokyo and Osaka is where Japanese Street Fashion is at its best. By adopting a mixture of current and traditional trends along with foreign and local labels, Japanese youth have created their own unique blend of fashion. Japanese street fashion has a variety of trends and styles. Youth were more elaborate in their dressing patterns and make-up. Bright†¦show more content†¦Japanese Street Fashion- Sweet Lolita Sweet Lolita, or ama-loli, is a childlike Lolita look, quite Kitsch. As with Gothic Lolita the look is inspired by Victoriana, but is also inspired by Edwardian looks. The key palette to the Sweet Lolita look is pastel colours and themes of fantasy. Alice in Wonderland is a popular inspiration source for this look. Accessories feature pom poms, bows and crowns. Fabrics are sugary colours and feature kawaii prints and gingham; Hello Kitty is a popular character with some the Sweet Lolita look. The look of a Sweet Lolita is inspired by anything childish, cute and princess-like. Make-up is kept simple and pretty to add to the childlike appearance of this look. Again knee high socks feature as a key accessory, and are often colourful or striped. Japanese Street Fashion- Punk Lolita This Lolita look is less pretty and childlike than Sweet Lolita and Gothic Lolita. It is most strongly influenced by the British punk movement, and the fashion culture in Camden, London and British designer Vivienne Westwood. The look combines some of the Victoriana elements of the Gothic Lolita look, but toughens it up with embellishments with safety pins, chains and tartan details. This look is the most androgynous of them all. Japanese Street Fashion- Lolita in the Western World Although LolitaShow MoreRelatedThe Gyaru Subculture in Japan1388 Words   |  6 Pagesexample of Japanese subculture which a group of people who follows a certain style of appearance, language and activities. By far, the most popular kawaii (cute) style in Japan is gyaru (Klein, R.D., 2013). The word ‘gyaru’ is a Japanese pronunciation of the word ‘gal’ or girl. This kind of street fashion had emerged in mid-1990s. Gyaru subculture is not only limited to a certain age of people but also has spreaded to the entire community in Japan. Until the mid-1960s, fashion among Japanese women wasRead MoreThe Effect of Globalization on Fashion with Special Reference to the Impact of Japanese Designs on the European Scene1527 Words   |  7 Pagesct Analyse the effect of ‘Globalization’ on fashion with special reference to the impact of Japanese designs on the European scene. The definition of globalisation is quite complex and extremely controversial. However globalization with reference to the fashion industry helps defines the development of what has been termed as „world fashion‟. Preferred garments of young people is quite often the same. A phenomenon made possible by the exploitative mechanisms of globalization. The globalizationRead MoreThe Effect of Globalization on Fashion with Special Reference to the Impact of Japanese Designs on the European Scene1521 Words   |  7 Pagesct Analyse the effect of ‘Globalization’ on fashion with special reference to the impact of Japanese designs on the European scene. The definition of globalisation is quite complex and extremely controversial. However globalization with reference to the fashion industry helps defines the development of what has been termed as „world fashion‟. Preferred garments of young people is quite often the same. A phenomenon made possible by the exploitative mechanisms of globalization. The globalization ofRead MoreWhen People Talk About The Word â€Å"Fashion,† It Automobility1676 Words   |  7 Pagesword â€Å"fashion,† it automobility provides a sense of popular styles of clothing, accessories, and makeup. Fashion influences not only on people’s behaviors, but also influences the society as a whole, such as socially and economically. In Adorned in Dreams, the author Elizabeth Wilson, introduces that fashion is a form of art, and people can use fashion to express their ideas, beliefs, and desires. Wilson also introduces the history of fashions in order to prove that people can use fashion to expressRead MoreTokyo There Is The Epicenter For Style And Modern Culture Of Young Japanese People1025 Words   |  5 PagesOut of all the fashion capitals of the world one of the most underrated would be Tokyo. People think because of their traditional and work oriented lifestyles they do not have a strong sense of style. This is far from the truth. In Tok yo there is a street called Harajuku which is the epicenter for style and modern culture of young Japanese people. Harajuku received its popularity in the early 1990’s by fashion photographer Shoi Aoki, who founded the magazine FRUiTS which opened up this cultural phenomenaRead MoreMarketing And Advertising Of Fashion Marketing Essay1413 Words   |  6 Pagesplay a critical role in the fashion industry; they are various activities involved in building consumer relationships and stimulating consumer purchases by satisfying their needs. The primary goal of fashion marketing is evident: supplying the right merchandise, to the right customers, at the right time, in the right place. Often confused as marketing, Advertising is a subset of marketing; it is a single component of promotion in the marketing mix. The process of fashion marketing is difficult dueRead MoreFashion Marketing And Its Impact On Consumer s Design Preferences Essay2152 Words   |  9 Pagesto the market. (Ox ford English Dictionary) Fashion Marketing differs from the marketing of other goods because of the uniqueness of the merchandise. â€Å"According to the Parson’s School of Design, fashion marketing is the process of analyzing, developing, and marketing current fashion trends into sales strategies.† (IJMBT) In fashion marketing, consumers are the creators by virtue of their adoption and rejection of new trends and styles. Furthermore, fashion is integral to the construction and communicationRead MoreLouis Vuitton1462 Words   |  6 PagesLouis Vuitton Presentation of the company Louis Vuitton is an international luxury French fashion house specialized in trunks and leather goods, founded by Louis Vuitton in 1854. As an emblem of the French luxury, Louis Vuitton knew how to make way on the international scene, by advancing an image of quality, elegance and refinement. Today, Louis Vuitton is one of the most recognizable and powerful brands in the world with more than 300 stores in 44 countries around the world and 2,7 billion ofRead MoreCritical Analysis Of Faces Of Japan1221 Words   |  5 PagesUnger, former foreign affairs editorial writer for the New York Times, has stated and debunked said stereotypes in his editorial titled Faces of Japan. In it, Unger argues that Japanese stereotypes are utterly incorrect and the presumptions surrounding Japanese culture are outdated. Japan’s culture is not static, Japanese people are not spending every living moment in remorse after the events of WWII. Unger argues this point through the explicit comparison of Japan in 1992 to Japan in 1945. The goalRead MoreFast Retailing Has Competitive Advantages Essay970 Words   |  4 Pageslocation in Canada will be at CF Toronto Eaton Centre. (CO, 2016b) Uniqlo will be located on the third floor inside the Dundas Atrium, between Nordstrom and HM, situated as a high traffic spot that attracts ttention through its billboards, lights, street performances and other attractions. (TECOP03 floorplan, no date) UNIQLO is seeking to build its brand through network of global flagship stores. Global flagship stores serve as hubs to get out the UNIQLO message, and concept of high-quality

Data Compression and Decompression Algorithms Free Essays

string(80) " a list of all the alphabet symbols in descending order of their probabilities\." Table of Contents Introduction†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. We will write a custom essay sample on Data Compression and Decompression Algorithms or any similar topic only for you Order Now †¦2 1. Data Compression†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦2 1. 1Classification of Compression†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 2 1. 2 Data Compression methods†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦3 2. Lossless Compression Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 4 2. 1 Run-Length Encoding†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚ ¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦4 2. 1. 1 Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 5 2. 1. 2Complexity †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 5 2. 1. 3 Advantages and disadvantage†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦6 3. Huffmann coding†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦6 3. 1 Huffmann encoding†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 6 3. 2 Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 7 4. Lempel-Ziv algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â ‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦7 4. 1 Lempel-Ziv78†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 8 4. 2Encoding Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 8 4. 3 Decoding Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 12 5. Lempel-Ziv Welch†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â ‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 14 5. 1 Encoding Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 14 5. 2 Decoding Algorithm†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 6 References†¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 17 INTRODUCTION: Data compression is a common requirement for most of the computerized applications. There are number of data co mpression algorithms, which are dedicated to compress different data formats. Even for a single data type there are number of different compression algorithms, which use different approaches. This paper examines lossless data compression algorithms. 1. DATA COMPRESSION: In computer science  data compression  involves  encoding  information  using fewer  bits  than the original representation. Compression is useful because it helps reduce the consumption of resources such as data space or transmission  capacity. Because compressed data must be decompressed to be used, this extra processing imposes computational or other costs through decompression. 1. 1 Classification of Compression: a) Static/non-adaptive compression. b) Dynamic/adaptive compressioin. a) Static/Non-adaptive Compression: A  static  method is one in which the mapping from the set of messages to the set of codewords is fixed before transmission begins, so that a given message is represented by the same codeword every time it appears in the message ensemble. The classic static defined-word scheme is Huffman coding. b) Dynamic/adaptive compression: A code is  dynamic  if the mapping from the set of messages to the set of codewords changes over time. 2. 2 Data Compression Methods: 1) Losseless Compression: Lossless compression reduces bits by identifying and eliminating  statistical redundancy. No information is lost in Lossless compression is possible because most real-world data has statistical redundancy. For example, an image may have areas of colour that do not change over several pixels; instead of coding â€Å"red pixel, red pixel, †¦ the data may be encoded as â€Å"279 red pixels†. Lossless compression is used in cases where it is important that the original and the decompressed data be identical, or where deviations from the original data could be deleterious. Typical examples are executable programs, text documents, and source code. Some image file formats, like  PNG  or  GIF, use only lossless compressi on 2) Loosy Compression: In information technology, lossy compression is a data encoding method that compresses data by discarding (losing) some of it. The procedure aims to inimize the amount of data that needs to be held, handled, and/or transmitted by a computer. Lossy compression is most commonly used to compress multimedia data (audio, video, and still images), especially in applications such as streaming media and internet telephony. If we take a photo of a sunset over the sea, for example there are going to be groups of pixels with the same colour value, which can be reduced. Lossy algorithms tend to be more complex, as a result they achieve better results for bitmaps and can accommodate for the lose of data. The compressed file is an estimation of the original data. One of the disadvantages of lossy compression is that if the compressed file keeps being compressed, then the quality will degraded drastically. 2. Lossless Compression Algorithms: 2. 1 Run-Length Encoding(RLE): RLE stands for Run Length Encoding. It is a lossless algorithm that only offers decent compression ratios in specific types of data. How RLE works: RLE is probably the easiest compression algorithm. It replaces sequences of the same data values within a file by a count number and a single value. Suppose the following string of data (17 bytes) has to be compressed: ABBBBBBBBBCDEEEEF Using RLE compression, the compressed file takes up 10 bytes and could look like this: A 8B C D 4E F 2. 1. 1 Algorithm: for (i=0;ilength;i++) { J-0; Count[i]=1; do { J++; If (str[i+j]==str[i]) { Count[i]++; }while(str[i+j]==str[i]) If count[i]==1; Coutstr[i++] Else{Cout count[i]str[i]; } } } Also you can see, RLE encoding is only effective if there are sequences of 4 or more repeating characters because three characters are used to conduct RLE so coding two repeating characters would even lead to an increase in file size. It is important to know that there are many different run-length encoding schemes. The above example has just been used to demonstrate the basic principle of RLE encoding. Sometimes the implementation of RLE is adapted to the type of data that are being compressed. 2. 1. 2 Complexity and Data Compression: We’re used to talk about complexity of an algorithm measuring time and we usually try to find the fastest implementation, like in search algorithms. Here it is not so important to compress data quickly, but to compress as much as possible so the output is as small as possible without lossing data. A great feature of run-length encoding is that this algorithm is easy to implement. 2. 1. 3 Advantages and disadvantages: This algorithm is very easy to implement and does not require much CPU horsepower. RLE compression is only efficient with files that contain lots of repetitive data. These can be text files if they contain lots of spaces for indenting but line-art images that contain large white or black areas are far more suitable. Computer generated colour images (e. g. architectural drawings) can also give fair compression ratios. Where is RLE compression used? RLE compression can be used in the following file formats: PDF files 3. HUFFMANN CODING: Huffman coding is a popular method for compressing data with variable-length codes. Given a set of data symbols (an alphabet) and their frequencies of occurrence (or, equivalently, their probabilities), the method constructs a set of variable-length codewords with the shortest average length and assigns them to the symbols. Huffman c oding serves as the basis for several applications implemented on popular platforms. Some programs use just the Huffman method, while others use it as one step in a multistep compression process. 3. 1 Huffman Encoding: The Huffman encoding algorithm starts by constructing a list of all the alphabet symbols in descending order of their probabilities. You read "Data Compression and Decompression Algorithms" in category "Essay examples" It then constructs, from the bottom up, a binary tree with a symbol at every leaf. This is done in steps, where at each step two symbols with the smallest probabilities are selected, added to the top of the partial tree, deleted from the list, and replaced with an auxiliary symbol representing the two original symbols. When the list is reduced to just one auxiliary symbol (representing the entire alphabet), the tree is complete. The tree is then traversed to determine the codewords of the symbols. . 2 Algorithm: Huffmann(A) { n=|A|; Q=A; For(i=1 to n-1) { z=new node; Left[z]=Extract_min(Q); Right[z]=Extract_min(Q); f[z]=f[left[z]]+f[right[z]]; insert(Q,z); } return Extract_min(Q); //return root } 4. The Lempel-ziv Algorithms: The Lempel Ziv Algorithm is an algorithm fo r lossless data compression. It is not a single algorithm, but a whole family of algorithms, stemming from the two algorithms proposed by Jacob Ziv and Abraham Lempel in their landmark papers in 1977 and 1978. Lempel Ziv algorithms are widely used in compression utilities such as gzip, GIF image compression. Following are the variants of Lempel-ziv algos; LZ77Variants| LZR| LZSS| LZB| LZH| LZ78variants| LZW| LZC| LZT| LZMW| 4. 1 Lempel-ziv78: The LZ78 is a dictionary-based compression algorithm. The codewords output by the algorithm consist of two elements: an index referring to the longest matching dictionary entry and the first non-matching symbol. In addition to outputting the codeword for storage/transmission, the algorithm also adds the index and symbol pair to the dictionary. When a symbol that not yet in the dictionary is encountered, the codeword has the index value 0 and it is added to the dictionary as well. With this method, the algorithm gradually builds up a dictionary. 4. 2 Algorithm: Dictionary empty ; Prefix empty ; DictionaryIndex 1; while(characterStream is not empty) { Char char next character in characterStream; if(Prefix + Char exists in the Dictionary) Prefix Prefix + Char ; else { if(Prefix is empty) CodeWordForPrefix 0 ; else CodeWordForPrefix DictionaryIndex for Prefix ; Output: (CodeWordForPrefix, Char) ; insertInDictionary( ( DictionaryIndex , Prefix + Char) ); DictionaryIndex++ ; Prefix empty ; } } Example 1: LZ78 Compression: Encode (i. e. compress) the string ABBCBCABABCAABCAAB using the LZ78 algorithm. Compressed message: The compressed message is: (0,A)(0,B)(2,C)(3,A)(2,A)(4,A)(6,B) Note: The above is just a representation, the commas and parentheses are not transmitted. Steps : 1. A is not in the Dictionary; insert it 2. B is not in the Dictionary; insert it 3. B is in the Dictionary. BC is not in the Dictionary; insert it. 4. B is in the Dictionary. BC is in the D ictionary. BCA is not in the Dictionary; insert it. 5. B is in the Dictionary. BA is not in the Dictionary; insert it. 6. B is in the Dictionary. BC is in the Dictionary. BCA is in the Dictionary. BCAA is not in the Dictionary; insert it. 7. B is in the Dictionary. BC is in the Dictionary. BCA is in the Dictionary. BCAA is in the Dictionary. BCAAB is not in the Dictionary; insert it. LZ78 Compression :No of bits transmitted: Uncompressed String: ABBCBCABABCAABCAAB Number of bits = Total number of characters * 8 = 18 * 8 = 144 bits Suppose the codewords are indexed starting from 1: Compressed string( codewords): (0, A) (0, B) (2, C) (3, A) (2, A) (4, A) (6, B) Codeword index 1 2 3 4 5 6 7 Each code word consists of an integer and a character: The character is represented by 8 bits. The number of bits n required to represent the integer part of the codeword with index i is given by: Codeword (0, A) (0, B) (2, C) (3, A) (2, A) (4, A) (6, B) index 1 2 3 4 5 6 7 Bits: (1 + 8) + (1 + 8) + (2 + 8) + (2 + 8) + (3 + 8) + (3 + 8) + (3 + 8) = 71 bits The actual compressed message is: 0A0B10C11A010A100A110B 4. 3 Decompression Algorithm: Dictionary empty ; DictionaryIndex 1 ; hile(there are more (CodeWord, Char) pairs in codestream){ CodeWord next CodeWord in codestream ; char character corresponding to CodeWord ; (codeWord = = 0) String empty ; else String string at index CodeWord in Dictionary ; Output: String + Char ; insertInDictionary( (DictionaryIndex , String + Char) ) ; DictionaryIndex++; } Example : LZ78 Decompression Decompressed message: The decompressed message is: ABBCBCABABCAABCAAB 5. Lempel-ziv Welch: This improved version of the original LZ78 algorithm is perhaps the most famous modification and is sometimes even mistakenly referred to as the Lempel Ziv algorithm. Published by Terry Welch in 1984it basically applies the LZSS principle of not explicitly transmitting the next nonmatching symbol to the LZ78 algorithm. The only remaining output of this improved algorithm are fixed-length references to the dictionary (indexes). If the message to be encoded consists of only one character, LZW outputs the code for this character; otherwise it inserts two- or multi-character, overlapping,distinct patterns of the message to be encoded in a Dictionary. Overlapping: The last character of a pattern is the first character of the next pattern. 5. 1 Algorithm: Initialize Dictionary with 256 single character strings and their corresponding ASCII codes; Prefix first input character; CodeWord 256; while(not end of character stream){ Char next input character; if(Prefix + Char exists in the Dictionary) Prefix Prefix + Char; else{ Output: the code for Prefix; insertInDictionary( (CodeWord , Prefix + Char) ) ; CodeWord++; Prefix Char; } } Output: the code for Prefix; Example : Compression using LZW Encode the string BABAABAAA by the LZW encoding algorithm. 1. BA is not in the Dictionary; insert BA, output the code for its prefix: code(B) 2. AB is not in the Dictionary; insert AB, output the code for its prefix: code(A) 3. BA is in the Dictionary. BAA is not in Dictionary; insert BAA, output the code for its prefix: code(BA) 4. AB is in the Dictionary. ABA is not in the Dictionary; insert ABA, output the code for its prefix: code(AB) 5. AA is not in the Dictionary; insert AA, output the code for its prefix: code(A) 6. AA is in the Dictionary and it is the last pattern; output its code: code(AA) Compressed message: The compressed message is: 666525625765260 LZW: Number of bits transmitted Example: Uncompressed String: aaabbbbbbaabaaba Number of bits = Total number of characters * 8 = 16 * 8 = 128 bits Compressed string (codewords): 9725698258259257261 Number of bits = Total Number of codewords * 12 = 7 * 12 = 84 bits Note: Each codeword is 12 bits because the minimum Dictionary size is taken as 4096, and 212 = 4096 5. 2 Decoding algorithm: Initialize Dictionary with 256 ASCII codes and corresponding single character strings as their translations; PreviousCodeWord first input code; Output: string(PreviousCodeWord) ; Char character(first input code); CodeWord 256; while(not end of code stream){ CurrentCodeWord next input code ; if(CurrentCodeWord exists in the Dictionary) String string(CurrentCodeWord) ; else String string(PreviousCodeWord) + Char ; Output: String; Char first character of String ; insertInDictionary( (CodeWord , string(PreviousCodeWord) + Char ) ); PreviousCodeWord CurrentCodeWord ; CodeWord++ ; } Summary of LZW decoding algorithm: output: string(first CodeWord); while(there are more CodeWords){ if(CurrentCodeWord is in the Dictionary) output: string(CurrentCodeWord); else utput: PreviousOutput + PreviousOutput first character; insert in the Dictionary: PreviousOutput + CurrentOutput first character; } Example : LZW Decompression Use LZW to decompress the output sequence 66 65 256 257 65 260 1. 66 is in Dictionary; output string(66) i. e. B 2. 65 is in Dictionary; output string(65) i. e. A, insert BA 3. 256 is in Dictionary; output string(256) i. e. BA, insert AB 4. 257 is in Dic tionary; output string(257) i. e. AB, insert BAA 5. 65 is in Dictionary; output string(65) i. e. A, insert ABA 6. 60 is not in Dictionary; output previous output + previous output first character: AA, insert AA References: * http://www. sqa. org. uk/e-learning/BitVect01CD/page_86. htm * http://www. gukewen. sdu. edu. cn/panrj/courses/mm08. pdf * http://www. cs. cmu. edu/~guyb/realworld/compression. pdf * http://www. stoimen. com/blog/2012/01/09/computer-algorithms-data-compression-with-run-length-encoding/ * http://www. ics. uci. edu/~dan/pubs/DC-Sec1. html#Sec_1 * http://www. prepressure. com/library/compression_algorithms/flatedeflate * http://en. wikipedia. org/wiki/Data_compression How to cite Data Compression and Decompression Algorithms, Essay examples

Jamaica Kincaid free essay sample

Jamaica Kincaid from a young age saw England for what it truly was a controlling regulatory country. As a child she stood distrustful of England having hatred and animosity toward it. Conveyed through Kincaid’s writing structure and language, her thoughts become clearly understood. With the incorporation of repetition and her narrative descriptions the reader can thoroughly grasp the negative attitude Kincaid is demonstrating. Throughout the essay Kincaid uses the strategy of repetition to emphasize and instill words in the readers mind. You can capture her hatred for â€Å"England† as she repeats the word numerous times to get the word so engraved into your head. She purposely chose this word because she wanted you to read the word so many times that you become overwhelmed and sick of it, that if you read it one more time it would be as if it were painful. She intends to make you hate England as much as she does by the end of the essay. We will write a custom essay sample on Jamaica Kincaid or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Kincaid as well reprises the word â€Å"first† or â€Å"first time† to show that every separate time she saw England it was like she was seeing it for the time. She refers to seeing it in a different way as she grew older; portraying that England is not just a picture on a map anymore but a dictator in her life. Without actually even seeing it with her own eyes she can recognize that it governs her whole life, furthermore exemplifying her loathing toward England. The embodiment of Kincaid’s narration and description in the duration of her work supports the transmission of her bitter tone. Her use of illustrative detail when stating England is a â€Å"special jewel† and again when said to look like â€Å"a leg of mutton† helps the reader understand her view and experience with England. In her descriptions she discusses the products â€Å"made in England† that her father wore. Everything, including their preference of dress and even to the extent of what they ate had to do with England. Without choice England was in their lives. As well as her narration of the cliffs of Dover we see that she was given a misleading perception. When Kincaid was a child she was told the cliffs were a special â€Å"white† to place this glorify image in her head but in reality they were just dirty cliffs. This narration exhibits how England is not as wonderful and god like as she was forced to perceive it as a young child. Kincaid usage of rhetoric language helps display the sarcastic ironic attitude she has towards England. Her appeal to pathos and ethos enlighten the reader to emotional and reliable side to Jamaica. All through her essay she confers about her experiences to verify the disgust in which she has over it. She establishes herself as a reliable narrator by stating England was her â€Å"source of myth†¦ and sense of what was meaningful† this shows her past experience and personal involvement with the nation. As for the appeal to pathos she explains how the people of England were â€Å"rude† and she was the â€Å"few things they agreed on† which makes you feel bad for her. This clearly shows that they did not care for outsiders and were selfish people, adding another reason to Kincaid’s revulsion. Kincaid’s adverse view of England is evidently shown through her sardonic tone and bitter attitude within the essay. The use of rhetorical strategies and language help the reader understand her perspective and reasoning for her hatred of the country. As a young child she could not fully comprehend what England stood for and was in her life. Now with a better understanding and different perspective Kincaid acknowledges her true hatred for England as it serves the role of political dominance and control.