does not attract attention from eavesdroppers and attackers. Using steganography‚ information can be hidden in different embedding mediums‚ known as carriers. These carriers can be images‚ audio files‚ video files‚ and text files. The focus in this paper is on the use of an image file as a carrier‚ and hence‚ the taxonomy of current steganographic techniques for image files has been presented. These techniques are analyzed and discussed not only in terms of their ability to hide information in image
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REGULATION OF SEXUALITY AND LAW OF CRIMES Regulation of Sexuality This thought-provoking term stands as the reason behind my choice of this topic. So far‚ among other things‚ Law School has taught me the importance of perceptual lenses through which people view events and issues. If you look at the world through feminist lenses‚ it will look one way. Through economist lenses‚ another. Though all perceptions‚ in my perception‚ hold a portion of truth and reasonability‚ I still see myself wearing
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Legal Studies Part I – Crime 1. The Nature Of Crime The Meaning of Crime A crime is defined as “any act or omission of duty that results in harm to society‚ and which is punishable by the state” The Elements of Crime: Actus Reus‚ Mens Rea There are two elements which must be present for a ‘crime’ to be committed: 1. Actus Reus: The Guilty Act – The act is carried out or performed‚ or an omission of an act which should have been done takes place. 2. Mens Rea: The Guilty Mind – Intent
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DATA ORGANIZATION‚ PRESENTATION AND ANALYSIS Research Methods 1 Data Organization and Presentation To make interpretation and analysis of gathered data easier‚ data should be organized and presented properly. The usual methods used by researchers are textual‚ tables‚ graphs and charts. 1.1 Textual Data can be presented in the form of texts‚ phrases or paragraphs. It involves enumerating important characteristics‚ emphasizing significant figures and identifying important features of
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Trang Vuong Big Data and Its Potentials Data exists everywhere nowadays. It flows to every area of the economy and plays an important role in the decision-making process. Indeed‚ “businesses‚ industries‚ governments‚ universities‚ scientists‚ consumers‚ and nonprofits are generating data at unprecedented levels and at an incredible pace” to ensure the accuracy and reliability of their data-driven decisions (Gordon-Murnane 30). Especially when technology and economy are growing at an unbelievable
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Social Organized Crime Perspective Paper Many could argue that organized crime takes place in our society because of the circumstances in which our society has chosen to exist. It could have been started because of rules‚ regulations‚ and laws that we have placed upon ourselves that not every person agrees with. It could be a problem because several of the people within our society choose to live differently because they feel they can. Whatever the logic behind the choice organized crime does exist in
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billion bytes of data in digital form be it on social media‚ blogs‚ purchase transaction record‚ purchasing pattern of middle class families‚ amount of waste generated in a city‚ no. of road accidents on a particular highways‚ data generated by meteorological department etc. This huge size of data generated is known as big data. Generally managers use data to arrive at decision. Marketers use data analytics to determine customer preferences and their purchasing pattern. Big data has tremendous potential
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into the Workers’ Compensation (WC) actuarial model workbook. Payroll data for the WC model should contain “only the actual hours worked” for specific Rate Schedule Codes (RSC) groups‚ including executives. The WC payroll data should exclude all paid leave types. A comparison of work hours from the NPHRS mainframe report to the summary in EDW reveals very small differences. We hope to align the NPHRS and EDW work hour data. Also‚ we (Technical Analysis‚ Accounting and Finance) need to understand
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Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease
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enhancing the performance of uniprocessors by exploiting ne-grain parallelism‚ rst-order metrics of program execution‚ such as operation frequencies‚ are not su cient characterizing the exact nature of dependencies between operations is essential. This paper presents a methodology for constructing the dynamic execution graph that characterizes the execution of an ordinary program (an application program written in an imperative language such as C or FORTRAN) from a serial execution trace of the program
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