Humanity And Inhumanity In The Lottery, By Shirley Jackson

Winning isn’t always what it seems. Hearing the word â€Å"lottery† usually develops a positive connotation in the mind of the reader, associating it with pleasure, good fortune and happiness; however, in â€Å"The Lottery,† the winner is rewarded by being brutally stoned by her neighbors and believed friends. â€Å"The Lottery,† written by Shirley Jackson in 1948, highlights how complacently our society reacts to the pointless brutality and inhumanity towards others. To demonstrate this, Jackson examines social constructs, women’s place and how instead focusing too strongly on strict traditions, we need to reexamine these rituals to determine their necessity and if they are still beneficial to society. Jackson uses seemingly ordinary details about†¦show more content†¦Tess’s tone in her last words before being stoned is desperate and hysterical, because she knows that her protests will not result in anything but death. The black box used in the lottery each year isn’t something that the reader would usually associate with a happy lottery. The box is described as, â€Å"shabby†¦splintered†¦faded and stained,† yet no one in the community wants to replace it because, â€Å"no one liked to upset even as much tradition as was represented by the black box.† The color black symbolizes the savage and evil nature of the lottery as well as the townspeople’s participation in it and the shabbiness of the box indicates how outdated the tradition truly is. Like the lottery, the box is well worn with its real purpose lost, and the townspeople are extremely reluctant in letting it go, even getting defensive when the idea of it is brought up. After the stoning of the â€Å"winner† occurs, the townspeople go on with their lives as if nothing out of the ordinary has happened. The lottery takes less than two hours so that the townspeople could, â€Å"†¦get home for noon dinner,† immediately following the execution. The normalcy of the lottery to the townspeople is horrifying and all throughout the story everyone seems ok with this evil tradition, children are shown laughing and their parents, gossiping and talking about work. When Tess Hutchinson chooses the paper slip with a black dot making her the â€Å"winner†, Bill Hutchinson, her husband, asShow MoreRelatedThe Horror of The Lottery, by Shirley Jackson1375 Words   |  6 Pagestook part in the traditional lottery drawing and one villager was picked for the prize – a stoning. In 1948, Shirley Jackson published this short story known as â€Å"The Lottery,† in The New York Times. The story’s plot shocked readers all over America as they learned of the horror happening in such a quaint town. Jackson purposely set this tragic event in this innocent setting to emphasize humanity’s cruelty. Using her appalling short story, The Lottery, Shirley Jackson alarm s readers with the ironicRead MoreThe Theme Of The Lottery By Shirley Jackson1159 Words   |  5 PagesWhen â€Å"The Lottery† begins, nothing seems unusual about this community, no hint of what is to come, or how heinous an act is about to occur. As they ready themselves for what seems to be a cheerful event, preparing as if to win something valuable, rather than to lose this lottery, eagerness and enthusiasm fill the air. The tradition, this community has been following, is overly duteous, more sheep like, illustrating the extent to which people will go to fit in, to be part of a crowd, to feel acceptedRead MoreUse of Symbolism in The Lottery by Shirley Jackson1146 Words   |  5 Pagesbulb represents ideas that just sparked into a character’s head. In the short story, â€Å"The Lottery† by Shirley Jackson, a village has just entered the month of June, meaning that the lottery is to begin. When everyone was present, the heads of the households’ names were called one by one to pick up a slip of paper. It was then discovered that the Hutchinson family was the chosen family to participate in the lottery again. When Mr. Hutchinson, Mrs. Hutchinson, Bill Jr., Nancy, and Little Dave each gotRead MoreAnalysis Of Shirley Jackson s The Lottery, And Kurt Vonnegut Jr. s Harrison Bergeron1604 Words   |  7 PagesA common theme of placing societal influences over personal values and beliefs can be found in Shirley Jackson’s, â€Å"The Lottery†, and Kurt Vonnegut Jr.’s â€Å"Harrison Bergeron†. These short stories describe situations in which the citizens allow the superiors to have full control, without thinking twice about the laws and traditions that require their submission. Both of these short stories are similar in theme, because each tells about a community that chooses to participate in cruel and inhumane traditionsRead MoreThe Lottery By Shirley Jackson Analysis1085 Words   |  5 PagesPublishing â€Å"The Lottery† in 1948, at the termination of World War II, Shirley Jackson uses prevalent cultural and historic cues throughout this story to insinuate a threatened, late 1940’s American society. References to the Holocaust were made by appeasing to this violent and sadistic tradition of stoning, in like manner the propelling of the stones reference the propelling of The Atomic Bomb. Consequently, the people of this village were forced to conform with the inability to observe humanity. Jackson’sRead MoreCritical Criticism Of The Lottery1448 Words   |  6 PagesSherley’s Jackson short story, â€Å"The Lottery† tells the story of villagers that hold a terrible lottery tradition every year. Even though the story begins with the audien ces with a bad close to the community by competing in a crisis tradition on a very important day, and at the end with a death of the â€Å"winner† by stoning the person that leads to s discussions between the people, and continued to be revise in modern days (Jackson). The â€Å"theory that based on the critical perspective of the story onRead MoreThe Road Through The Wall By Shirley Jackson1897 Words   |  8 Pages Shirley Jackson was born in San Francisco, California on December 14th 1916. From an early age she was at odds with her parents expectations. Within these expectations her mother had an obsession with appearance that put her further away from her. Jackson began writing in 1930 as a teenager and grew up in a suburban atmosphere; this later became the subject of her first novel â€Å"The Road through the Wall† in 1948. From California she moved cross country to Rochester, New York in 1934. Her universityRead MoreTradition or Cruelty in Shirley Jacksons The Lottery Essay2237 Words   |  9 PagesTradition or Cruelty in Shirley Jacksons The Lottery Shirley Jacksons The Lottery satirizes barbaric traditions in a supposedly civilized village. As the story begins, the villagers appear to be fairly civilized and carry on fairly modern lifestyles. This is assumed by the mens discussion of planting, rain, tractors, and taxes. The lottery was outdated to such a degree that some may think that the tradition is primal competition of anthropoid beasts. On the other hand, some think that carryingRead MoreAnalysis of Shirley Jacksons The Lottery Essays4601 Words   |  19 Pages Shirley Jackson’s famous short story, â€Å"The Lottery,† was published in 1948 and remains to this day one of the most enduring and affecting American works in the literary canon. â€Å"The Lottery† tells the story of a farming community that holds a ritualistic lottery among its citizens each year. Although the text initially presents audiences with a close-knit community participating in a social event together on a special day, the shocking twist at the work’s end—with the death of the lottery’s â€Å"winner†

Business System Analysis and Design Notes Free Essays

*IS:arrangement of people,data,processes,information technology that interact to collect,process,provide as output the info needed to support the organization. Types of IS: TPS,MIS,decision support system,communications and collaboration system,expert system, office automation system executive info system Types of Stakeholders:System owners (middle and executive managers, supervisors),System users (clinical service workers,technical and professional workers; suppliers,customers,employees),System Builders (network admin,security admin,data base programmer,system programmer),System Designers (web archs,graphic artists,network architectures),External service provider (sales engineers, technology engineers, system consultants),Project manager,System analyst:is a problem solver,he/she studies business probs and opportunities,then transform them into info that will be used by technical specialists. System analyst:specialist who studies problems and needs of an organization to determine how people,data,processes and info technology can best accomplish improvements for the business. We will write a custom essay sample on Business System Analysis and Design Notes or any similar topic only for you Order Now Skills by System Analyst:Working knowledge of information technology(The analyst must be aware of both existing and emerging information technologies),Computer programming, experience and expertise,General business knowledge,General problem-solving skills,Good interpersonal communication skills,Good interpersonal relations skills,Flexibility and adaptability,Character and ethics. Info sys architecture:provides a foundation for organizing various components of any info sys you care to develop. a unifying framework into which various stakeholders with different perspectives can organize and view the fundamental building blocks of information systems. Views of knowledge System owners view: Interested not in raw data but in information. (Business entities and business rules) System users’view: View data as something recorded on forms,stored in file cabinets,recorded in books and spreadsheets,or stored on computer. Focus on business issues as they pertain to data. Data requirement System designers’ view: Data structures,database schemas,fields,indexes,and constraints of particular database management system (DBMS). System builders’ view: SQL,DBMS or other data technologies Views of process System owners’view:Concerned with high-level processes called business functions. A cross-functional information system System users’view:Concerned with work that must be performed to provide the appropriate responses to business events. Business processes,Process requirements,Policy,Procedure, Work flow System designers’view:Concerned with which processes to automate and how to automate them. Software specifications System builders’view:Concerned with programming logic that implements automated processes. Application program,Prototyping Views of communication System owners’ view: Who? Where? What? System users’ view: Concerned with the information system’s inputs and outputs. System designers’ view: Concerned with the technical design of both the user and the system-to-system communication interfaces. System builders’ view: Concerned with the construction, installation, testing and implementation of user and system-to-system interface solutions *Basic principles of system development: Get the system users involved. Use a problem-solving approach. Establish phases and activities. Document through development. Establish standards. Manage the process and projects. Justify systems as capital investments. Don’t be afraid to cancel or revise scope. Divide and conquer. Design systems for growth and change. The need to improve: Performance Info Eco/controlcosts Control/Security Efficiency Service Phases for system development: scope definition, problem analysis, requirements analysis, logical design, decision analysis, physical designand integration, construction and testing, installation and delivery. Cross life-cycle activity: Fact-finding, Documentation and presentation Documentation, Presentation, Repository), Feasibility analysis, Process and project management Routes through the basic systems development phases: model driven development strategies (process, data, object modeling), Rapid application development (RAD), commercial application package implementation, system maintenance *Benefits of use case modeling: Provides tool for capturing functional requirements. Assists in decomposing system into man ageable pieces. Provides means of communicating with users/stakeholders concerning system functionality in language they understand. Provides means of identifying, assigning, tracking, controlling, and management system development activities. Provides aid in estimating project scope, effort, and schedule. The relationships that can appear on a use-case model diagram: Use case association relationship, extension use case, abstract use case, depends on, inheritance Use case – a behaviorally related sequence of steps (scenario), both automated and manual, for the purpose of completing a single business task. Steps for preparing a use-case model: Identify business actors. Identify business use cases. Construct use-case model diagram. Documents business requirements use-case narratives *Data modeling(database modeling)–a technique for organizing and documenting a system’s data. Data Modeling Concepts:Entity(class of persons, places, objects, events, or concepts about which we need to capture and store data),Attribute(descriptive property or characteristic of an entity. Synonyms include element, property and field), Data type(property of an attribute that identifies what type of data can be stored in that attribute),Domain(a property of an attribute that defines what values an attribute can legitimately take on),Default value(the value that will be recorded if a value is not specified by the user),Key(an attribute, or a group of attributes, that assumes a unique value for each entity instance. It is sometimes called an identifier),Subsetting criteria(an attribute whose finite values divide all entity instances into useful subsets. Sometimes called an inversion entry),Relationship(a natural business association that exists between one or more entities),Cardinality(the minimum and maximum number of occurrences of one entity that may be related to a single occurrence of the other entity),Degree(the number of entities that participate in the relationship),Recursive relationship(a relationship that exists between instances of the same entity),Foreign key(a primary key of an entity that is used in another entity to identify instances of a relationship),Parent entity(a data entity that contributes one or more attributes to another entity, called the child. In a one-to-many relationship the parent is the entity on the â€Å"one† side),Child entity(a data entity that derives one or more attributes from another entity, called the parent. In a one-to-many relationship the child is the entity on the â€Å"many† side),Nonidentifying relationship(relationship where each participating entity has its own independent primary key), Identifying relationship – relationship in which the parent entity’ key is also part of the primary key of the child entity,Generalization(a concept wherein the attributes that are common to several types of an entity are grouped into their own entity),Nonspecific relationship(relationship where many instances of an entity are associated with many instances of another entity. Also called many-to-many relationship) ,Sample CASE Tool Notations Entity relationship diagram (ERD):a data model utilizing several notations to depict data in terms of the entities and relationships described by that data. Logical Model Development Stages:1Context Data model(Includes only entities and relationships;To establish project scope). 2Key-based data model(Eliminate nonspecific relationships;Add associative entities;Include primary and alternate keys;Precise cardinalities). Fully attributed data model(All remaining attributes;Subsetting criteria). 4Normalized data model Normalize a logical data model to remove impurities that can make a database unstable, inflexible, and nonscalable. First normal form (1NF):entity whose attributes have no more than one value for a single instance of that entity,Any attributes that can have multiple values actually describe a separate entity, possibly an entity and relationship. Second normal form (2NF):entity whose nonprimary-key attributes are dependent on the full primary key,Any nonkey attributes dependent on only part of the primary key should be moved to entity where that partial key is the full key,May require creating a new entity and relationship on the model. Third normal form (3NF):entity whose nonprimary-key attributes are not dependent on any other non-primary key attributes. *Model:pictorial representation of reality. Logical model:nontechnical pictorial representation that depicts what a system is or does. Physical model:technical pictorial representation that depicts what a system is or does and how the system is implemented Process modeling:a technique used to organize and document a system’s processes. (Flow of data through processes,Logic,Policies,Procedures) Data flow diagram (DFD):a process model used to depict the flow of data through a system and the work or processing performed by the system. Synonyms are bubble chart, transformation graph, and process model. The DFD has also become a popular tool for business process redesign. Processes on DFDs can operate in parallel (at-the-same-time). DFDs show the flow of data through a system. Processes on a DFD can have dramatically different timing (daily, weekly, on demand) Context data flow diagram:a process model used to document the scope for a system. Also called the environmental model. Think of the system as a â€Å"black box. â€Å"2Ask users what business transactions the system must respond to. These are inputs, and the sources are external agents. 3Ask users what responses must be produced by the system. These are outputs, and the destinations are external agents. 4Identify any external data stores, if any. 5Draw a context diagram. Decomposition diagram:a tool used to depict the decomposition of a system. Also called hierarchy chart. How to cite Business System Analysis and Design Notes, Essay examples

Enterprise Business Intelligence

Question: 1. What is unsupervised classification? 2. What is k-means clustering? 3. When performing K-means clustering, what attributes should you look for in the inputs for creating the clusters ? Answer: 1: Unsupervised classification is one of the major categories of techniques of image classification calculated by software. The outcome of unsupervised classification that is pixel grouping with common characteristics are based on software analysis of image. This does not requires user to provide sample classes. Computers for determining related pixels and grouping them with common characteristics use such technique. These common characteristics produced by computers have to be interrelated to actual features on various grounds and this include developed areas, wetlands and coniferous forests. Since sample classes is not provided in unsupervised classification, the number of classes to generate and band to use is identified by users. Pixels are then clustered into number of classes with the help of software and in later part, land cover classes are identified by users. Unsupervised classification comprise of three steps and this include activating extension of spatial analyst and generating clusters and assigning classes. The identified classes under unsupervised classification may or may not correspond well to land interest of cover types. There are too many land cover classes concerning heterogeneous land cover and they are the results of such classification. This particular classification is considered useful when the image area does not have aerial photographs and it is not possible for users to accurately specify training areas of such cover type. 2: K means is regarded as one of the simplest unsupervised learning algorithm and assist in solving well-known problems of clustering. The procedure of K mean clustering follows a simple way of classifying given set of data through a certain number of clusters. In this step, k centroids for each of one cluster is defined. Since different location results in different results, it is essential to place these centroids in a cunning way. Hence, centroids should be placed far away from each other as possible. In the second step, each point belonging to given set of data is associated to the nearest centroid. First step is completed when no point is pending. It is required to re calculate k new centroids as clusters barycenter, which is the result of previous step. Thirdly, a new binding has to be done between nearest new centroid and same data set points after the formation of k new centroids. This result in generation of loop and after this k centroids change their location gradually until the time no changes are done. An example depicting k means clustering is as follows: It is assumed that there is an n sample feature vectors y1, y2, y3 ...yn for all same class and it is known that they are falling into k compact clusters and l n. In cluster i, the mean of cluster is assumed to be u1. A minimum distance classifier can be used to separate the clusters, if they are well separated. Then it can be said that y is in cluster if [ y- u1 ] is minimum of all l distance. Following procedure is selected for finding l means. Initial guesses are to be made for the means u1, u2, u3 ul. It is suggested to estimate means for classifying samples into clusters until there are no changes in any mean. With mean of all samples of cluster i, u1 is replaced. 3: Inputs in performing k means clustering is that they should be of appropriate choice of number of clusters. This would help in yielding proper results. Input data set should be partitioned in k means algorithm. Input data set does not requires ordering and it should not deviate from their current value. Inputs comprised of numeric values of attributes and attributes of inputs should have commonly used technique of trigonometrically encoding periodic. Nonetheless, using this trigonometric encoding causes a systematic error despite of providing any input to algorithm. Input data should be capable of presorting and using indirect indexing for accessing sorted array. It should also have mixed elements and has collection of features for each data points. Input for cluster creating in performing k means clustering should have features of machine learning algorithm. Input points needs to be coordinated for forming the number of clusters. Inputs that are empty or null results in exceptions. They are such that it capable initializing center of clusters and attributing closest of cluster for each point of data. Unsupervised classification does not require the users to have the foreknowledge of each classes. It can still consider the multivariate spreads and obtaining accurate covariance matrix and mean vectors.