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This document discusses how images are represented digitally through binary data and pixels. It explains that images are made up of pixels, each with multiple brightness levels determined by the number of bits used. More bits allows for more brightness levels and possible pixel values. The document demonstrates how binary numbers represent a range of values from 0 to 2^n, where n is the number of bits. It provides examples of the number of possible values for 6-bit and 8-bit binary numbers.
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The document discusses different data types including binary numbers, unsigned and signed integers represented in binary, floating point numbers, and logical operations on bits. It explains binary addition and subtraction, overflow, and different representations for signed integers including sign-magnitude, one's complement, and two's complement. It also covers converting between decimal and binary numbers.
Lec 02
There are several number systems that can be used to represent numbers, which can be categorized as positional or non-positional. Commonly used positional systems include decimal, binary, octal, and hexadecimal. Different systems use different bases and symbols to represent values. Numbers can be converted between systems using techniques like successive division, weighted multiplication, or grouping bits. Understanding different number systems is important for both humans and computers.
Digital + Analogue
Digital uses discrete values while analogue uses a continuous spectrum. Digital refers to the use of digits and can represent signals as combinations of ones and zeros. Noise affects digital and analogue signals differently, with digital signals prone to data loss and analogue signals able to degrade gracefully. Digital data is stored using binary numbers and can be measured in bits and bytes, with more bits allowing for more values to be represented in areas like images.
Computer Systems Data Representation
This document outlines the course content for a Higher Computing course, which is divided into 3 main units: Computer Systems (40 hours), Software Development (40 hours), and Artificial Intelligence (40 hours). The Computer Systems unit covers topics like data representation, computer structure, networking, and computer software across 5 sections. Specific lessons in the Data Representation section discuss how numbers, text, and images are stored in binary and how storage capacities are measured. Graphics representation and compression techniques are also introduced. Students will complete assessments including end of unit tests, coursework tasks, and a written exam.
Network Slides
This document outlines the course content for a Higher Computing course, which is divided into 3 main units: Computer Systems, Software Development, and Artificial Intelligence. The Computer Systems unit covers topics like data representation, computer structure, networking, and computer software. It discusses how numbers, text, images, and other data are stored in binary and converted between binary and decimal. It also covers graphics representation, storage calculations, and compression techniques. Assessment includes end of unit tests, coursework tasks, and a written exam.
Int 2 data representation 2010
The document outlines the course content for an Intro to Computing course, which is divided into three main units on computer systems, software development, and artificial intelligence. The computer systems unit covers topics such as data representation, computer structure, networking, and representing graphics. Sample lesson plans describe how numbers, text, and images are stored in binary and how floating point numbers are represented using mantissa and exponent.
number system
The document discusses different number systems including binary, decimal, hexadecimal, and octal. It explains that number systems have a base, which is the number of unique digits used, and provides examples of how to convert between number systems. Binary coded decimal is also introduced as a way to efficiently store decimal numbers using a binary representation where each decimal digit is stored in 4 bits. Algorithms for binary addition and logic gates are briefly covered.
Number system
This document discusses different number systems including positional and non-positional, and how to convert between decimal, binary, octal, and hexadecimal numbers. It explains that positional systems use the digit's position and value to determine its overall value, and different bases determine the maximum single digit value. Conversion between number systems involves representing values in their respective bases then performing arithmetic operations.
Numbering Systems
The document discusses different number systems used in computing such as binary, octal, decimal, and hexadecimal. It explains that computers use the binary system to represent information as either 1s or 0s. It then provides details on how to convert between the different number systems, including rules for place values and the meaning of each digit place. Converting between decimal, binary, octal, and hexadecimal is important for understanding computer networks and communications.
Binary reference guide csit vn1202
The document provides an overview of binary systems and how computers use binary to represent data and perform computations. It begins by explaining that computers represent all data and programs as sequences of zeros and ones, using binary rather than decimal. It then discusses the decimal numbering system to provide context for explaining binary. The bulk of the document defines the binary system, how numbers are represented with powers of two, and how to convert between decimal and binary numbers with examples. It concludes by discussing how computers work with groups of bits and standard units of data storage.
Number Systems - AK.pptx
This document provides an overview of different number systems including decimal, binary, octal, and hexadecimal. It explains why these additional number systems are needed beyond the standard decimal system that humans use. Conversion processes between the different number systems are presented, including successive division to convert from decimal to another base and weighted multiplication to convert the other way. Examples are provided to demonstrate how to convert numbers between decimal, binary, octal, and hexadecimal.
Number system
The document discusses different number systems used in digital technologies, including decimal, binary, octal, and hexadecimal systems. It provides details on how each system works, such as having 10 symbols in decimal, 2 symbols in binary, 8 symbols in octal, and 16 symbols in hexadecimal. The document also covers error detection codes like parity and checksums that are used to detect errors in digital data transmission and storage.
Digital Logic Design.pptx
Digital Logic Design Lecture 1A provides an overview of digital systems and binary numbers. It introduces the difference between analog and digital signals, the process of digitization, and the binary number system. The key concepts covered include representing numbers in binary format, converting between binary and decimal number systems using positional notation and weighted values, and introducing octal and hexadecimal numbering bases.
numbersystem-150506052854-conversion-gate02 (3).pptx
i am as a student making project on number system
Conversion between number system, part-II
This document discusses different number systems used in computing, including binary, decimal, octal, and hexadecimal. It provides the base and symbols for each system, examples of 4-bit numbers converted to decimal, and techniques for converting between binary, decimal, octal, and hexadecimal. Key bits in a binary number are defined as the most significant bit (MSB) and least significant bit (LSB). Conversion methods include dividing decimal numbers by powers of two for binary, and representing octal and hexadecimal digits as groups of bits.
Conversion between number system, part-I
This document discusses different number systems used in computing, including binary, decimal, octal, and hexadecimal. It provides the bases and symbols for each system, examples of 4-bit numbers converted to decimal, and techniques for converting between binary, decimal, octal, and hexadecimal numbers. Key bits in computing are defined as the smallest unit of data (bit) and common unit of 8 bits (byte). The most and least significant bits in a binary number are also identified.
Number system
This presentation will help you with the current status of numbers, their conversions and things which it governs on and things which is totally dependent on numbers like our personal computers, etc.
Number system and codes
The document discusses different number systems including binary, octal, decimal, and hexadecimal. It explains that number systems have a radix or base, which determines the set of symbols used and their positional values. The key representations for binary numbers discussed are sign-magnitude, one's complement, and two's complement, which provide different methods for representing positive and negative numbers. The document provides examples of addition, subtraction, multiplication, and division operations in binary.
Phase one image steganography_batu
Steganography is the art of hiding information in plain sight, and in this tutorial, I'll show you how to use Steghide — a very simple command line tool to do just that. In addition, I'll go over a bit of conceptual background to help you understand what's going on behind the scenes. This is a tool that's simple, configurable, and only takes a few seconds to hide information in many file types. this is the dbatu lonere university students project presentation.
Data representation
The document discusses different number systems used in digital computers including binary, decimal, octal, and hexadecimal systems. It describes the characteristics of each system such as the base and digits used. Methods for converting between these different number systems are presented, including using division or grouping bits. The representation of signed integers as binary numbers is also covered, comparing sign-magnitude, one's complement, and two's complement representations. Binary addition is demonstrated with examples.
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This document discusses how lenses and light work together in the eye to allow vision. It explains that light enters the eye and the lens focuses it onto the retina, where rods and cones detect light and color. The document also introduces how lenses are used to focus light rays and can be characterized by their focal length and power, and how the lens equation relates object and image distances to focal length and magnification.
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This document discusses pixel resolution and how images can be gathered using pulses of sound or radiation. It defines a pixel as the smallest element of a reconstructed image. Resolution is defined as the smallest detectable difference or feature in an image. An example calculates the resolution of a 15cm by 10cm image containing 15,000 pixels as 1mm. It also discusses using ultrasound pulses to form images by timing reflections and avoiding signal interference.
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This document provides an overview of electrical conductivity and resistance in materials. It explains that good conductors allow electrons to flow easily between atoms, while insulators have a high resistance and impede electron flow. Resistance is measured in ohms and depends on a material's resistivity, length, and cross-sectional area. Conductivity is the inverse of resistivity and relates to how well a material conducts electricity. The document suggests measuring resistance of wires with varying lengths and thicknesses to calculate resistivity and conductivity.
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Image processing techniques can smooth images by replacing each pixel with the mean of its neighbors, reducing noise and edges. Noise is removed by replacing pixels with the median value of its neighbors. Edges can be found by subtracting the values of neighboring pixels from the central pixel's value multiplied by four. Comparing squares with edges enhances the perception of edges in the human retina.
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This document discusses different types of electromagnetic radiation and their use in imaging. It introduces the electromagnetic spectrum, explaining that while humans can only see visible light, other types of radiation like X-rays and infrared can also be used for imaging. It then covers the relationships between wave speed, frequency, and wavelength, noting that all electromagnetic waves travel at the same speed. Finally, it touches on pixels and resolution in digital images, how pixels are arranged in rows and columns, and how higher resolution allows for more detail to be seen.
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The document discusses how to calculate the data capacity and transfer rates needed for storing and transmitting images. It explains that the data capacity required to store an image is calculated by multiplying the number of pixels by the number of bits per pixel. It also provides an example showing how to calculate the number of images that could be stored on a 20GB disc. Finally, it notes that the time to transfer data depends on the data transfer rate.
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This document discusses how digital signals are transmitted using electromagnetic waves. It explains that digital signals are strings of 1s and 0s representing sampled analogue signals. Electromagnetic waves emitted from a transmitter carry these digital signals by causing electrons in a receiver to vibrate, reproducing the original signal. Key characteristics of signals like amplitude, period, and frequency are defined. Frequency is calculated as the inverse of period and examples are given. A frequency spectrum shows the range of frequencies that make up a signal. Complex signals contain multiple frequencies combined.
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Designer Materials 3
Materials react differently under stress depending on their composition and structure. A match will snap if sat on but a chair made of the same material as a match can hold weight since it is constructed differently and on a larger scale than a single match. How materials handle stress depends on both the material and the object's form.
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Designer Materials
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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