Thursday, January 30, 2020

Coffee and Starbucks Corporation Essay Example for Free

Coffee and Starbucks Corporation Essay Acknowledgements: First and foremost, we would like to express our gratitude to our faculty Ms. Nusrat Huq for her constant support and motivation, and we would also like to thank her for assigning a topic to our group that has been quite interesting to work with. We are immensely grateful to our friends and AIUB alumni who have been kind enough to share their knowledge with us. Last but not the least, our sincere gratitude goes to our respected families for their guidance and contribution in all aspects of our lives. EXECUTIVE SUMMARY: Among many other global coffee shops, Starbucks is the most popular. This article discusses the company’s internal and external environments, its corporate strategies, organization structures, how they can improve their quality, and where there is room for success.In 1971, three young entrepreneurs began the Starbucks Corporation in Seattle Washington. Their key goal was to sell whole coffee beans. Soon after, Starbucks began experiencing huge growth, opening five stores all of which had roasting facilities, sold coffee beans and room for local restaurants. In 1987, Howard Schultz bought Starbucks from its original owners for $4 million after expanding Starbucks by opening three coffee bars. These coffee bars were based on an idea that was originally proposed to the owner who recruited him into the corporation as manager of retail and marketing. Overall, Schultz strategy for Starbucks was to grow slow. Starbucks went on to suffer financial losses and overhead operating expenses rose as Starbucks continued its slow expansion process. Despite the initial financial troubles, Starbucks went on to expand to 870 stores by 1996. Sales increased 84%, which brought the corporation out of debt. With the growing success, Starbucks planned to open 2000 stores by year 2000.

Tuesday, January 21, 2020

History of Folk Music in America Essay -- Music History Research paper

History of Folk Music in America "Hillbilly" music grew out of the rich tradition of British folk ballads, songs and hymns brought to North America by British settlers and then adapted to the peculiar circumstances, e.g., biographical names, place names, frontier concerns, of the North American wilderness. It is important to remember that all of the colonies were British, from Maine to Georgia. The exact ethnic origins of the south are difficult to determine and not well documented. The rural south did not attract large numbers of European immigrants in the great period of immigration (1850-1920); however, it is certain that by 1920 there had been considerable intermingling of a few ethnic groups (English, Welsh, Scottish, Scotch-Irish, German, Czechoslovakian, native Indian and African). Likewise, the ethnic origin of the music of the southern region is complex. There were Irish jigs, English and Scottish ballads and folk songs, hymns, etc. However, as Malone (1985:4) suggests, the end result of the musical melting pot was a product "more British than anything found in Great Britain today." The 1790 census report indicates that the population of the United States was 60.1% English, 14% Scotch-Irish and 3% Irish. These three groups made up 78% of the total population. The White Anglo-Saxon Protestant core culture dominated all of pre-Revolutionary America. However, for reasons we will examine later, the southern region produced a white and a black musical tradition which were significantly different from the rest of the nation. The British folk ballad is at the heart of the southern musical tradition. Three outstanding characteristics of the Briti... ...from the Middle Ages, used a four, five or six note scale which did not fall within tradition major or minor scales. The tunes were almost chants which rose and fell in pitch - usually peaking at the middle of the song and then diminishing. Instrumentation was usually non-existent and, when present, not very important to the song. In the U.S., harmony was much more important. This probably results from the importance of gospel singing. Sources Malone, Bill C. Country Music USA: Fifty Year History. Austin: University of Texas Press, 1985. Carr, Patrick (ed). The Illustrated History of Country Music. Garden City: Doubleday, 1979. Roebuck, Julian B. and Mark Hickson. The Southern Redneck: A Phenomenological Class Study. New York: Praeger Publishers, 1982.

Monday, January 13, 2020

The Challenges for Informatics in Developing Software for Modern Multikernel Computers

The challenges for Informatics in developing software for modern multikernel computers Abstract The purpose of this post is to examine the introduction of  parallel computing and the challenges of software development  for Parallel execution environment. First I will introduce the idea of parallel computing and up next I will present and evaluate the challenges of parallel computing along with their solutions and finally some conclusion will be drawn. Vertical & Horizontal Development in ComputingThe question arise when we are thinking about how the  complex scientific problems  of the twenty-first century including climate modeling, genomic research and artificial intelligence are testing the limits of the Von Neumann model of sequential processing. In the past, computer scientists worked on the new approach to extend the  power of computers in vertical manner, this means that they were working on producing huge super computers but with recent advances in technology and re ducing cost of resources and arrival of multi kernel processing has helped us to think about new ways to solve huge and complex problem in parallel manners.Introduction to parallel computing For the most part, along with a host of new research questions that have arisen in the last decade, there remains a significant challenge today. Parallel processing  offers the promise of providing the computational speed required to solve important large-scale problems. In fact, parallel processing requires a big shift in how we think to solve the problem. Regardless of new hardware technologies, we should think about the new approach of developing software systems and also the way we think about our problem and presenting our solution. (Design and Analysis of Computer Algorithms).Challenges of parallel computing For the sake of applying the power and flexibility of multi-core processors, we should think about a new approach to  breakdown huge problems  into smaller elements. A better ill ustration of parallel processing occurs when a divide and conquer model is used to solve a task. In this approach the problem is successively partitioned into smaller and smaller parts and sent off to other processors, until each one has only a trivial job to perform. Each processor then completes that trivial operation and returns its result to the processor that sent the task.These processors in turn do a little work and give the results   back to the processors that gave them the tasks, and so on, all the way back to the originating processor. In this model there is far more communications between processors. n the next step, we should think about how to express our program which can be executable in a parallel computing environment. Functional Programming plays a vital role in this area, since it provide programmer to solve their issue in functional manner rather than sequential processing.There are simple principles in functional programming such as avoiding Mutable states, L ambdas, Closures and more importantly declarative paradigm which help programmers to free their mind about concurrency, synchronization, Race Condition and other multi core computation issues. Although parallel  functional programming  helps us to represent our program in declarative manner in order to be applicable for parallel execution, but the problem is remain unsolved without thinking about how we can manage data in parallel computing environment.Industrial Revolution of Data – Age of Big Data We’re now entering into new age of computing named as â€Å"Industrial Revolution of Data†. In fact, the majority of data will be produced automatically by different kinds of machine such as software logs, video cameras, RFID, wireless sensors and so on. Due to the considerable decrease in cost of computer resources, storing those data is so cheap, so companies tend to collect and store them in huge data warehouse for future when it can be mined for valuable info rmation.The  Big Data now comes to play, working with such distributed, huge and complex data would be impossible or better to say inefficient with existing software and databases system. We should think about other approaches for storing large set of data which is stored in different computers and in the next step effectively mining and executing queries from those sources. Perhaps the biggest game-changer to come along is  MapReduce, the parallel programming framework that has gained prominence thanks to its use at web search companies.The research in parallel computing has had the most success and influence in parallel databases. In fact, instead of breaking out a large problem into smaller element execute by different threads simultaneously, parallel database help us to store, querying and retrieve data from distributed resources over network effectively. MapReduce as Parallel Programming Framework MapReduce  algorithm is invented by Google to cope with Big Data in their s earch engine system. In fact, MapReduce is containing two simple primitives function which are available in Lisp and also in other functional languages.The computation include two basic operation, a map operation which execute on input records containing key/value pairs, and then invoking a reduce operation which collect and aggregate all responses from different nodes. There are many different Implementations in different programming languages which are exist and used in industry for processing large set of data. In fact, most of  NoSQL databases  use this algorithm for collecting data from different sources in distributed heterogeneous environment. The biggest advantage of MapReduce is that it allows for distributed processing of map and reduction function.In fact, it allows us, to collect and process distributed data stored in different machine simultaneously. Conclusion Parallel computing  can help us to solve hug complex problem in more efficient way. In order to parallel ize our task we should think about different challenges which we cope in developing software for parallel execution environment. However, we should bear in mind that parallel computing is useful when we are facing with a big problem which can distributed among different computing agents. In addition, we should deeply think about the  nature of problem,  time  as well as  limits  and  costs  of Parallel Programming.

Sunday, January 5, 2020

A Sociological Perspective On The Human Mind Essay

Robert Brannon states that a stereotypical masculine man is seen by society to be strong, inexpressive, aggressive, and independent. Many theories, such as Darwin’s evolutionary perspective and Freud’s psychoanalytic perspective, propose that the aggression present in men is contingent on the adaptive values of behavior and childhood psychological history, respectively. Reproductive strategies as well as child development can have a major impact on the emotionality of men, which can be seen through their aggressive behavior. The manifestation of masculinity is seen in crime and cruelty, which are closely linked to one another. Thirty-five homicide data sets were analyzed from fourteen countries, including some from primitive societies and some from different eras. In these societies men committed homicide twenty-six times more than women (Furtuna). This rate of violence and likelihood of males committing violence is best explained by the evolutionary perspective. 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