English Literature Essay essays

English Literature Essay essays How does Dickens Satire Utilitarianism in Hard times? I will Begin this essay with a brief introduction to the word UTILITARIANISM. Utilitarianism is a system of ethics (morals) that judges human conduct in relation to the extent to which it conduces to the greatest happiness of the greatest number of people. Utilitarianism faces a number of key issues during the course of the novel, one of which is that its discards feeling and emotion. The problem is that morals and emotions cant be quantified statistically quite as easily as burglary rates or profits accounts. Im Hard Times, Dickens is attacking the ways of thinking and acting that became associated with utilitarianism thought. Dickens attacks the extremes of mechanisation, statistical analysis and rationality. This novel is not a work of social criticism but a moral satire. Evidence of Dickens satire to utilitarianism is in the first chapter of Book the first-sowing. The chapter begins with a short introduction. Inside a classroom, the speaker repeats the exclamation now, what I want is facts. Dickens presents the argument that the formation of a childs mind must be rooted in the study of fact. The school room is as hard and plain as the teachers teaching style. The description of the classroom is the first satire upon utilitarianism, a critique of utilitarianism, and similar philosophies that suggested the absolute reliance upon calculations and facts in opposition to emotion, artistic inspiration and leisure. In this novel, Utilitarianism underlies pedagogy of Gradgrind and his MChoakumchild school; and Louisa, Gradgrinds daughter and one of him pupils, has learned her lesson all too well. Her decision to marry Bounderby is a Utilitarian one. There is a constant attack on the consequences in education, as is made clear in the ...

Mapping Your Ancestry With Google Maps

Mapping Your Ancestry With Google Maps Google Maps is a free web map server application that offers street maps for Australia, Canada, Japan, New Zealand, the United States and much of western Europe, plus satellite map images for the entire world. Google Maps is just one of many free mapping services on the web, but its ease of use and options for customization through the Google API makes it a popular mapping option. There are three map types offered within Google Maps - street maps, satellite maps, and a hybrid map that combines satellite imagery with an overlay of streets, city names, and landmarks. Some parts of the world offer much more detail than others. For Genealogists Google Maps makes it easy to locate places, including small towns, libraries, cemeteries, and churches. It is important to note that these are not historic listings, however. Google Maps draws its locations from current map and business listings, so the cemetery listings, for example, will generally be larger cemeteries that are in current use. To create a Google Map, you begin by selecting a location. You can do this through search, or by dragging and clicking. Once youve found the location you want, then switch to the find businesses tab to pinpoint churches, cemeteries, historical societies, or other points of interest. My Google Maps In April 2007, Google introduced My Maps which allows you to plot multiple locations on a map; add text, photos, and videos; and draw lines and shapes. You can then share these maps with others via email or on the Web with a special link. You can also choose to include your map in public Google search results or keep it private - accessible only through your special URL. Just click on the My Maps tab to create your own custom Google maps. Mashups Mashups are programs that use the free Google Maps API to find new and creative ways of using Google Maps. If youre into coding, you can use the Google Maps API yourself to create your own Google Maps to share on your Web site or email to friends. This is a bit more than most of us want to dig into, however, which is where these Google Maps mashups (tools) come in. Tools All mapping tools built on Google Maps require that you request your own free Google Maps API key from Google. This unique key is required to allow you to display the maps you create on your own Web site. Once you have your Google Maps API key, check out the following: Community Walk: This tool is easy to use and allows plenty of room for pictures and comments for each location. You can customize your markers and colors, so you could use one color marker for paternal lines and another for maternal. Or you could use one color for cemeteries and another for churches.TripperMap: Designed to work seamlessly with the free Flickr photo service, this one is especially fun for documenting family history travels and vacations. Just upload your photos to Flickr, tag them with location information, and TripperMap will generate a flash-based map for you to use on your Web site. The free version of TripperMap is limited to 50 locations, but that is enough for most genealogy applications.MapBuilder: MapBuilder was one of the first applications to let you build your own Google map with multiple location markers. Its not as user-friendly as Community Walk, in my opinion, but offers many of the same features. Includes the ability to generate Google Map source code for your map which can be used to display the map on your own webpage.

Aloha Airlines Flight 243 Aircraft Accident Report Essay

Aloha Airlines Flight 243 Aircraft Accident Report - Essay Example The main cause being the failure of an epoxy adhesive which is used to bond aluminum sheets of the fuselage together. Two sheets, not bond properly creates a gap through which water seeps in and corrosion begins, as the corrosive parts have a greater volume than the underlying metal, the two sheets are forced apart resulting in the increase of stress on the rivets (which are also used) for holding them together. Taking into account that the aircraft was 19 years old at the time of the accident it had already surpassed its takeoff-landing cycles , it should have been subjected to a full uninterrupted inspection rather than the longer and extensive â€Å"D Check† which was performed in morning installments, furthermore â€Å"eddy-current testing’ inspection on the fuselage skin was lacking. A crack was noticed by a passenger who didn’t notify anyone, as the aircraft had already surpassed its takeoff-landing cycles (compression and decompression cycles), this crack s inevitably due to metal fatigue. Matt Austin came up with another reason for the accident after studying the disintegration of the fuselage of the aircraft. This states that at first, the fuselage failed to open a 10-inch vent through which the cabin air escaped at 700mph, flight attendant C.B.Lansing got sucked into the vent instead of being thrown off the aircraft. This blockage instantly caused an increase in pressure which inadvertently acted as a fluid hammer and tore the jet apart. The structural failure of the 19year old Boeing 737 stressed on creating awareness of aging aircraft throughout the aviation industry. The multiple site fatigue was the cause of the structural damage which primarily was due to the failure and negligence of the operator maintenance program which is supposed to track and detect corrosion damage.

Given the dynamism of today's market and the ever increasing degree of Assignment

Given the dynamism of today's market and the ever increasing degree of competition globally, produce a critical assessment of - Assignment Example In regard specifically to the business sector, the involvement of certain business tools and frameworks in the promotion of globalization seems to be extended. Reference can be made, for example, to the information systems, in all their forms. Information systems are highly related to globalization. Moreover, these systems are likely to be used by business worldwide as a tool for acquiring competitive advantage. The above role of information systems is presented in this paper. The Porter Five Forces model is used for explaining the involvement of information systems in the increase of business competitiveness, both locally and globally. Table of contents Executive Summary 2 1. Introduction 4 2. IT and competitive advantage 4 2.1 Effects of globalization on business – information systems and their relationship to globalization 4 2.2 Business processes and their relationship to information systems 7 2.3 Evaluation of the use of information systems as tools for increasing busines s competitiveness – Porter’s Five Forces model 10 3. Conclusion 12 References 14 Appendix 15 1. Introduction Aligning business processes with organizational objects is one of the most critical challenges that organizational leaders worldwide have to face. On the other hand, business processes are not standardized. Rather, they have to be changed continuously so that they can keep the organizational competitiveness high. Information systems can be considered as a tool that help business processes to achieve the above target. In practice, the use of information systems in organizations has been related to globalization. This view can be considered as justified if taking into consideration the following fact: information systems have been expanded across business activities of all sectors mostly because certain businesses have emphasized on the particular systems. Since the role of information systems in enhancing organizational profits and improving businesses processes has been made clear, the popularity of these systems worldwide has been increased. The relationship between information systems and globalization is examined in this paper. Particular emphasis is given on the potential use of information systems for achieving competitive advantage. It is proved that, indeed, information systems can play such role. However, it is necessary for the involvement of these systems in organizational activities to be carefully planned and monitored, otherwise the relevant plan will be led to a failure, either in the short or the long term. 2. IT and competitive advantage 2.1 Effects of globalization on business – information systems and their relationship to globalization. The high value of information systems for the development of business activities cannot be ignored. In order to understand the involvement of information systems in modern organizations it would be necessary to refer primarily to the effects of globalization on businesses; then, th e role of information systems in supporting business activities could be understood. Modern market is characterized by a ‘global integration’ (Walker 2004, p.171). This means that a firm can survive in the global market only if it is able to strengthen its processes so that they can secure the firm’s competitiveness towards its rivals (Walker 2004, p.171). At the same time, Doole and Lowe (2005) that globalization has set a new challenge for all businesses: instead of trying to keep their existing market position,

Survey Of Data Mining Techniques On Crime Data Criminology Essay

Survey Of Data Mining Techniques On Crime Data Criminology Essay Data mining is a process of extracting knowledge from huge amount of data stored in databases, data warehouse and data repositories. Crime is an interesting application where data mining plays an important role in terms of crime prediction and analysis. This paper presents detailed study on clustering techniques and its role on crime applications. This also helps the law enforcers in better investigation and crime prediction. Key words: Crime data mining, crime data analysis, clustering. Introduction In recent years, volume of crimes lead to serious problems throughout the world. Now-a- days criminals have maximum use of modern technologies and hi-tech methods which serve up criminals to commit crimes at an immense measure. The law enforcers have to effectively meet out challenges of crime control and maintain public law and order. Hence, creation of a data base for crimes and criminals is required. Data mining techniques have higher influence in the fields such as law-and-enforcement, narcotics, cyber crime, human trafficking and high-tech crimes. Crime data mining has been applied in the law and enforcement to retrieve the criminal details and useful information automatically, using named entity-extraction method. In this method, each word is compared with the noun phrases and the binary value either zero or one will be generated which indicates the match or mismatch of the name. Intelligence agencies and university of Arizona collaborated COPLINK project and applied crime data mining in two-dimensions as crime types and security concerns to analyses crime and criminals and face challenges of law-enforcement problems of massive data bases from police narrative records [9]. Suspects give details to police investigations in order to confuse and spoil the proceedings of the investigation. During the time of investigation, comparison is needed to find the differences between real entities and deceptive entities. One of the distance measurement methods is Euclidean distance method which is applied to calculate the distance between pairs of the real and deceptive entity and this distance gives the deceptions accurately at the time of detection [10]. Hence, data mining techniques and clustering algorithms have been developed for better crime analysis which leads to the prediction of crimes in future. The organization of the paper is as follows. Section II discusses some researches and applications on crime data analysis. Section III defines the role of data preprocessing in crime data mining. Section IV presents various clustering methods on crime domain and Section V discusses the conclusion and future work. II Related work Recent developments in crime control applications aim at adopting data mining techniques to aid the process of crime investigation. One of the earlier projects COPLINK, was teamed with Artificial Intelligence Lab of Arizona University, the police departments of Tuscon , Phonix solving crime and criminal network analysis [8]. Brown et al. proposed a framework for regional crime analysis (ReCAP), which was built to provide crime analysis with both data fusion and data mining techniques[2]. Data mining steps involved in crime investigations are: collection of crime data from multiple data sources such as police narrative records, criminal background information which consists of previous investigation files and police arrest records are used to diagnose whether a suspect was involved in any earlier cases. If it so, verdict clues from past annals featuring the suspect and it avails the investigators to preside in the case. Using crime data mining techniques, most required information has been extracted from the vast crime databases which are maintained by NCRB (National Crime Record Bureau) for locating à ¢Ã¢â€š ¬Ã…“crime hot-spotsà ¢Ã¢â€š ¬Ã‚ . This helps the law enforcers to predict the crimes and to prevent in the near-future. Nath et al. has proposed k-means clustering technique with some enhancements to aid the process of identification of crime patterns. Semi-supervised learning technique for knowledge discovery has also been further developed which helps to increase the predictive accuracy [6]. J.S. de Bruin, K.Cocx and Kosters et al. have applied clustering techniques for the analysis of crimes and criminal carriers based on four salient factors such as crime nature, frequency, duration and severity of crime[3]. Binary (BCS) and transformed (TCS) categorical methods are similarity based methods used to find the similarity of corresponding attributes between real and deceptive entities from the crime records[13]. Ozgul et al. recently suggested a crime prediction model on crime details like location, date of the incident and mode-of-operandi of events against terrorists which have not been solved[20]. An enhanced Ak-mode algorithm called a weighted clustering algorithm which consists of two-phases to extract similar case subsets from large number of crime datasets[16]. III. Role of data preprocessing in crime data mining Data preprocessing techniques are mainly used for producing high-quality mining results. Raw data are being preprocessed before mining because data are in different format, collected from various sources and stored in the data base and data warehouses. Major steps involved in crime data mining are data cleaning, data integration, data transformation and data reduction. Data Cleaning Fill in missing crime data value. Smoothing crime data Removing outliers of crime data. Resolve inconsistent crime data. Data integration Merging of crime data from multiple data storages. Data Transformation Crime data normalization. Attribute construction Data Reduction Crime Attribute subset selection. Dimensionality reduction of crime attributes Data mining process Raw data Analysis Mining results Fig. Data Preprocessing steps in crime data mining Crime data have been collected from different sources such as police narrative records, criminal profiles, case histories and log files. In the data cleaning step, missing values are filled, noisy data are smoothened ,outliers data are removed and inconsistent data are resolved. Data integration step undergoes merging of crime data. Data normalization and attribution construction are done in the data transformation for standardizing data. When standardization of crime data, the data range falls under 0.0 to 1.0. Attribute subsets are selected from crime dataset and dimensionality has reduced. After preprocessing, finally standard data underwent the process of mining and hence better results are obtained. IV. Application of clustering methods in Crime The Clustering methods play an important role on crime applications. Some of the clustering techniques highlighted are k-means clustering, Ak-mode algorithm and other similarity methods. After preprocessing, the operational crime data are undergoing the clustering techniques for grouping the nature of crimes as different clusters. In this process, lots of unsolved crimes are also grouped together. The next step of clustering is to identify the significant or decisive attribute. This may from case to case.ie. one of the cases may need the age group of victim as decisive attribute and it is very important in a murder cases. The k-means clustering is one of the basic partition clustering techniques. The objects of similar crime cases are grouped together and are very dissimilar when compare to other groups. This algorithm mainly used to partition the clusters based on their means. Initially number of crime cases are grouped and specified as k clusters. The mean value is calculated as the mean distance between the objects. Then number of iteration are done until the convergence occur. The iterative process of weighing attributes and crime types, future crime patterns can be detected by the detectives or analysts. Unsolved crimes are clustered based on decisive attribute and the results are given to the investigators to proceed the case further. This k-mean is applicable only for numerical attributes and it is not applicable to categorical attributes. Ak- mode clustering technique is used for categorical attributes. In this technique there are two steps such as attribute weighting phase and clustering phase. Weights of the attributes are computed using Information Gain Ratio (IGR) value for each attribute. The greatest value of weight is taken as decisive attribute. The distance between two categorical attributes are computed by finding the differences between two cases give the similarity measures. The analyst has set the threshold value ÃŽÂ ± with the help of the computation result of similarity measures. Finally binary and transformed categorical similarity methods are discussed for finding similarity measures. In the data bases, attribute values are either numerical or categorical i.e. either quantitative or qualitative. In the quantitative (numerical), the difference between two attributes are calculated as the direct difference between those two values of attributes. In the case of qualitative(categorical), the difference between two attributes are calculated as binary values as 0 or 1. If there is a match than attribute value will be 1 or 0 if it is not. This method is named as binary categorical method (BCS). In the transformed categorical similarly (TCS) method, the similarity table has created for all the attributes and the differences between those attributes value will be calculated. This difference gives the similarity measures. Hence various clustering techniques are used to identify the crime patterns which helps the crime analysts to proceed the cases further. V. Conclusion and future work Crime data were under various data preparing steps i.e cleaned the data, resolved inconsistent data and outliers are removed. Grouping crime data objects of clustering was needed to identify crime patterns which support crime analysts and law-enforcers to proceed the case in the investigation and help solving unsolved crimes faster. Similarity measures is an important factor which helps to find unsolved crimes in crime pattern. K-means, Ak-mode and other similarity methods such as binary categorical and transformed categorical methods were used to find the similarity measures of attributes which are very much needed to the crime analysts and police enforcers to solve unsolved crimes. In future, some of the enhancements should be done in the existing algorithms to get an accurate results. There should be some improvement in finding similar case subsets that will be a good direction for solving crimes easily. Finally, challenge of setting threshold value without crime analyst may be an important task in future.

my SWOT Essay

Brochure More information from http://www.researchandmarkets.com/reports/641109/ London Biscuits BHD Description: Quantitative analyses of financial statements (Income Statement, Balance Sheet and Sources of Capital), extensive ratio tables (Accounting, Asset Utilization, Employee Efficiency, Fixed Charges Coverage, Leverage Analysis, Liquidity Analysis, Per-share Data and Profitability Analysis) and proprietary Wright Quality Rating analyses tables. The Wright Quality Rating, a measure of corporate risk, examines the liquidity of the stock, financial strength, profitability and corporate growth characteristics of London Biscuits BHD. There is a textual review of the financial results of London Biscuits BHD versus Cocoaland Holdings Bhd, Apollo Food Holdings Berhad and Teck Guan Perdana Berhad. The comparative analysis of these companies compares Sales (sales, sales growth and sales per employee), Company Valuations (Price/Earnings, Price/Book, Price/Sales and 52-Week Price Change) and Financial Position (Long-term Debt/Equity). Also included for London Biscuits BHD are the Company Description, Recent Stock Performance, Profitability Analysis, Dividend Analysis, and Key Data Items (Ticker, Major Industry, Sub-Industry, Fiscal Year End Month, Employees, Share Type, Market Capitalization, Total Shares Outstanding and Number of Closely Held Shares.) Additional research for London Biscuits BHDincludes tables with up to 10-years of history of computed ratios, sales, earnings, and security prices. Contents: This product typically includes the following sections: Company Fundamentals – Company Profile – Comparative Business Analysis – Summary Analysis per Share – Sales Analysis – Price Analysis – Earnings and Dividends Analysis Financial Statement Analyses – Balance Sheet – Common Size – Balance Sheet – Year-Year Percent Change – Balance Sheet – Five-Year Averages- Income Statement – Common Size – Income Statement – Year-Year Percent Change – Income Statement – Five-Year Averages- Sources of Capital Financial Ratio Analyses – Accounting Ratios— Asset Utilization— Employee Efficiency– Fixed Charges Coverage – Leverage Analysis – Liquidity Analysis— Per-Share Data – Profitability Analysis Wright Quality Rating Analyses – Investment Acceptance – Financial Strength – Profitability and Stability – Corporate Growth Notes: – Report is included when there are five or more years of data history. — Report is included when employee counts are available. —These reports are not produced for Financial Companies. Ordering: Order Online – http://www.researchandmarkets.com/reports/641109/ Order by Fax – using the form below Order by Post – print the order form below and send to Research and Markets, Guinness Centre, Taylors Lane, Dublin 8, Ireland. Page 1 of 2 Fax Order Form To place an order via fax simply print this form, fill in the information below and fax the completed form to 646-607-1907 (from USA) or +353-1-481-1716 (from Rest of World). If you have any questions please visit http://www.researchandmarkets.com/contact/ Order Information Please verify that the product information is correct. Product Name: London Biscuits BHD Web Address: http://www.researchandmarkets.com/reports/641109/ Office Code: OC8DIPRONORURY Product Format Please select the product format and quantity you require: Quantity Electronic (PDF) Single User: â‚ ¬75 Contact Information Please enter all the information below in BLOCK CAPITALS Title: First Name: Mr Mrs Dr Miss Last Name: Email Address: * Job Title: Organisation: Address: City: Postal / Zip Code: Country: Phone Number: Fax Number: * Please refrain from using free email accounts when ordering (e.g. Yahoo, Hotmail, AOL) Ms Prof Page 2 of 2 Payment Information Please indicate the payment method you would like to use by selecting the appropriate box. Pay by credit card: American Express Diners Club Master Card Visa Cardholder’s Name Cardholder’s Signature Expiry Date Card Number CVV Number Issue Date (for Diners Club only) Pay by check: Please post the check, accompanied by this form, to: Research and Markets, Guinness Center, Taylors Lane, Dublin 8, Ireland. Pay by wire transfer: Please transfer funds to: Account number 833 130 83 Sort code 98-53-30 Swift code ULSBIE2D IBAN number IE78ULSB98533083313083 Bank Address Ulster Bank, 27-35 Main Street, Blackrock, Co. Dublin, Ireland. If you have a Marketing Code please enter it below: Marketing Code: Please note that by ordering from Research and Markets you are agreeing to our Terms and Conditions at http://www.researchandmarkets.com/info/terms.asp Please fax this form to: (646) 607-1907 or (646) 964-6609 – From USA +353-1-481-1716 or +353-1-653-1571 – From Rest of World

Everything You Need to Know About Writing Great Reviews

Does a career spent reviewing movies, music, books, TV shows, or restaurants seem like nirvana to you? Then you’re a born critic. But writing great reviews is an art, one that few have mastered. Here are some tips: Know Your Subject Too many beginning critics are eager to write but know little about their topic. If you want to write reviews that carry some authority, then you need to learn everything you can. Want to be the next Roger Ebert? Take college courses on the history of film, read as many books as you can and, of course, watch lots of movies. The same goes for any topic. Some believe that in order to be a truly good film critic you must have worked as a director, or that in order to review music you must have been a professional musician. That kind of experience wouldn’t hurt, but it’s more important to be a well-informed layman. Read Other Critics Just as an aspiring novelist reads the great writers, a good critic should read accomplished reviewers, whether it’s the aforementioned Ebert or Pauline Kael on film, Ruth Reichl on food, or Michiko Kakutani on books. Read their reviews, analyze what they do, and learn from them. Don’t Be Afraid to Have Strong Opinions Great critics all have strong opinions. But newbies who aren’t confident in their views often write wishy-washy reviews with sentences like â€Å"I sort of enjoyed this† or â€Å"that was okay, though not great.† They’re afraid to take a strong stand for fear of being challenged. But there’s nothing more boring than a hemming-and-hawing review. So decide what you think and state it in no uncertain terms. Avoid â€Å"I† and â€Å"In My Opinion† Too many critics pepper reviews with phrases like â€Å"I think† or â€Å"In my opinion.† Again, this is often done by novice critics afraid of writing declarative sentences. Such phrases are unnecessary; your reader understands that it’s your opinion you’re conveying. Give Background The critic’s analysis is the centerpiece of any review, but that’s not much use to readers if she doesn’t provide enough background information. So if you’re reviewing a movie, outline the plot but also discuss the director and his previous films, the actors, and perhaps even the screenwriter. Critiquing a restaurant? When did it open, who owns it and who’s the head chef? An art exhibit? Tell us a little about the artist, her influences, and previous works. Don’t Spoil the Ending There’s nothing readers hate more than a film critic who gives away the ending to the latest blockbuster. So yes, give plenty of background information, but dont give away the ending. Know Your Audience Whether you’re writing for a magazine aimed at intellectuals or a mass-market publication for average folks, keep your target audience in mind. So if you’re reviewing a film for a publication aimed at cineastes, you can wax rhapsodic about the Italian neo-realists or the French New Wave. If you’re writing for a wider audience, such references might not mean much. That’s not to say you can’t educate your readers in the course of a review. But remember – even the most knowledgeable critic won’t succeed if he bores his readers to tears.