Descartes came to the understanding that there was little he actually knew because he felt unclear about some things‚ besides the subject of mathematics‚ in which he felt was clear and distinct. For him to truly have knowledge he would have to toss out all prior knowledge and start anew with a better foundation of self. The main foundation of his education was from the senses or through the senses. (D 60) Descartes proves that the senses can not be trusted‚ therefore they can not be the foundation of
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1997 describes a combined genetic algorithm and slicing approach for floorplan area optimization during the early stage of integrated circuit design. It applies a partition procedure to reduce the complexity routing problem. Genetic Algorithm (GA) is wide applied in almost any field‚ including solving FLP. Tam 1992 introduced the coding of layouts as a string of characters of finite length and used a fixed slicing tree structure defined by a clustering algorithm to represent a layout as a chromosome
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CHAPTER TWO 2.0 LITERATURE REVIEW 3.1 IMAGES An image may be defined as a rectangular array of pixels. The pixel of a grayscale image is a nonnegative integer interpreted as the intensity (brightness‚ luminosity) of the image (Deever and Hemami‚ 2003). It is a picture that has been created or copied and stored in electronic form. An image can be described in terms of vector graphics or raster graphics . An image stored in raster form is sometimes called a bitmap (Margaret‚ What is image
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subtracting of signed integers. Just think of addition and subtraction as directions on the number line. There are also several rules and properties that define how to perform these basic operations. To add integers having the same sign‚ keep the same sign and add the absolute value of each number. To add integers with different signs‚ keep the sign of the number with the largest absolute value and subtract the smallest absolute value from the largest. Subtract an integer by adding its opposite
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Computer Operations‚ Solving Problems‚ and Algorithms As we learn more on how to construct and put together a functional computer program‚ there are many things that need to be understood for this to occur. This paper will address this by expounding upon three topics that do just that. With use of pseudo code (the use of nouns and verbs) are words used by programmers to help code or construct a computer program. The first section will identify the six basic computer operations that take place
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Zero- sum game and non-zero are terms used to refer to situations where there are gains and losses. Non-zero sum game is where one decision gain or loss doesn’t necessarily result in the others loss or gain. In this theory‚ the wins and loses‚ of all players do not add up to zero and everyone can win or lose. Commonly this is referred to as a “win-win situation” The common example given of this is the prisoner’s dilemma‚ a situation where two people are committed a crime are being interrogated separately
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Algorithm analysis In computer science‚ the analysis of algorithms is the determination of the number of resources (such as time and storage) necessary to execute them. Most algorithms are designed to work with inputs of arbitrary length. Usually the efficiency or running time of an algorithm is stated as a function relating the input length to the number of steps (time complexity) or storage locations (space complexity). Algorithm analysis is an important part of a broader computational complexity
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My contribution to the presentation involved an insight to the categorization of algorithms and an in-depth analysis of the #AmazonFail case study. To research the area of focus I concentrated on Gillespie’s essay ‘The Relevance of Algorithms’ (2012). I looked in depth about the categorisation of algorithms as Gillespie (2012) explains that in the earliest database architectures information was organized in “strict and inflexible hierarchies.” From this I discovered that since the development of
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Timetabling using Reactive Resource. Malaysia. Norberciak‚ M. (2006). Universal Method for Timetable Construction based on Evolutionary Approach. World Academy of Science. Soolmaz Massoodian‚ A. E. (February 2008). Timetabling‚ A Hybrid Genetic Algorithm for Curriculum Based Course.
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3.2 CP-ASBE Algorithm In the CP-ABE scheme‚ all the attributes belong to one monolithic set and there is no concept of sets involved. Hence the main challenge in its implementation is to prevent user collusion‚ which means different users combinign their attributes to satisfy a policy. This is acheived in CP-ABE by binding together attribute keys with a random unique nunber assigned to each user. In case of CP-ASBE‚ one must also prevent combining attributes belonging to different sets. This is
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