This document discusses different data types and representations used in digital computers. It describes binary, octal, decimal, and hexadecimal number systems. It also discusses fixed point representation with signed-magnitude, 1's complement, and 2's complement methods. Floating point representation is covered along with the IEEE 754 standard. Methods for detecting overflow in arithmetic operations like addition and subtraction are presented.
digital logic circuits, digital component floting and fixed pointRai University
This document discusses different numeric data representations used in computer systems, including fixed-point and floating-point numbers. It describes fixed-point numbers as having a limited range but being fast and inexpensive to implement. Floating-point numbers are explained as having a much wider range of supported values but requiring more storage space. The key aspects of single and double precision floating-point formats are outlined, including the usage of sign, exponent, and significand bits to represent values within different magnitude ranges. Examples of common fixed and floating-point data types used in programming are also provided.
This document discusses various addressing modes in PLCs, including direct, indirect, indexed, and indexed indirect addressing. It provides examples of each addressing mode using SLC500 and ControlLogix PLCs. Indirect addressing allows data to be accessed using a reference address rather than a direct address. Indexed addressing uses a base address plus an offset value from an index register to calculate the final address. ControlLogix uses arrays instead of indexed addressing, where arrays can have one, two, or three dimensions to store multiple values of the same data type.
Error detection and correction codes add additional data bits to transmitted messages to detect and possibly correct errors caused by noise during transmission. Error-detecting codes only detect errors while error-correcting codes can detect and correct errors by determining the location of corrupted bits. Common techniques for error detection include parity checks, which use an extra parity bit to make the total number of 1 bits in a message either even or odd.
Digital comparators are combinational logic circuits that compare digital signals at their input terminals and produce an output depending on the condition of the inputs, such as whether input A is greater than, less than, or equal to input B. Digital comparators can compare a variable number against a constant value and produce outputs indicating the three possible conditions. They use exclusive-NOR gates to compare bit pairs and cascade single-bit comparators to compare multi-bit numbers.
The document discusses intermediate code generation in compilers. It describes how compilers take source code and convert it to an intermediate representation that is then converted to machine code. The intermediate code is machine independent, allowing portability. It can be optimized before generating target code. Common intermediate representations discussed include postfix notation, three-address code using quadruples or triples, and syntax trees.
This document describes a 3 credit hour course on digital electronics and logic design with the code DEL-244. It covers various topics in binary codes including weighted and non-weighted systems. Specific codes discussed include binary coded decimal, excess-3 code, gray code, and two's complement representations for negative numbers. Arithmetic operations using two's complement are also demonstrated.
This document defines and classifies different types of binary codes. It explains that binary codes represent numeric and alphanumeric data as groups of bits. Binary codes are classified as weighted or non-weighted, reflective or non-reflective, and sequential or non-sequential. Common binary codes include ASCII, EBCDIC, Hollerith, BCD, excess-3, and Gray codes. Error detecting and correcting codes are also discussed which add extra bits to detect or correct errors during data transmission. Examples of different binary codes are provided.
This document discusses different data types and representations used in digital computers. It describes binary, octal, decimal, and hexadecimal number systems. It also discusses fixed point representation with signed-magnitude, 1's complement, and 2's complement methods. Floating point representation is covered along with the IEEE 754 standard. Methods for detecting overflow in arithmetic operations like addition and subtraction are presented.
digital logic circuits, digital component floting and fixed pointRai University
This document discusses different numeric data representations used in computer systems, including fixed-point and floating-point numbers. It describes fixed-point numbers as having a limited range but being fast and inexpensive to implement. Floating-point numbers are explained as having a much wider range of supported values but requiring more storage space. The key aspects of single and double precision floating-point formats are outlined, including the usage of sign, exponent, and significand bits to represent values within different magnitude ranges. Examples of common fixed and floating-point data types used in programming are also provided.
This document discusses various addressing modes in PLCs, including direct, indirect, indexed, and indexed indirect addressing. It provides examples of each addressing mode using SLC500 and ControlLogix PLCs. Indirect addressing allows data to be accessed using a reference address rather than a direct address. Indexed addressing uses a base address plus an offset value from an index register to calculate the final address. ControlLogix uses arrays instead of indexed addressing, where arrays can have one, two, or three dimensions to store multiple values of the same data type.
Error detection and correction codes add additional data bits to transmitted messages to detect and possibly correct errors caused by noise during transmission. Error-detecting codes only detect errors while error-correcting codes can detect and correct errors by determining the location of corrupted bits. Common techniques for error detection include parity checks, which use an extra parity bit to make the total number of 1 bits in a message either even or odd.
Digital comparators are combinational logic circuits that compare digital signals at their input terminals and produce an output depending on the condition of the inputs, such as whether input A is greater than, less than, or equal to input B. Digital comparators can compare a variable number against a constant value and produce outputs indicating the three possible conditions. They use exclusive-NOR gates to compare bit pairs and cascade single-bit comparators to compare multi-bit numbers.
The document discusses intermediate code generation in compilers. It describes how compilers take source code and convert it to an intermediate representation that is then converted to machine code. The intermediate code is machine independent, allowing portability. It can be optimized before generating target code. Common intermediate representations discussed include postfix notation, three-address code using quadruples or triples, and syntax trees.
This document describes a 3 credit hour course on digital electronics and logic design with the code DEL-244. It covers various topics in binary codes including weighted and non-weighted systems. Specific codes discussed include binary coded decimal, excess-3 code, gray code, and two's complement representations for negative numbers. Arithmetic operations using two's complement are also demonstrated.
This document defines and classifies different types of binary codes. It explains that binary codes represent numeric and alphanumeric data as groups of bits. Binary codes are classified as weighted or non-weighted, reflective or non-reflective, and sequential or non-sequential. Common binary codes include ASCII, EBCDIC, Hollerith, BCD, excess-3, and Gray codes. Error detecting and correcting codes are also discussed which add extra bits to detect or correct errors during data transmission. Examples of different binary codes are provided.
Dr. Gargi Khanna discusses error detection and correction codes such as parity codes and Hamming codes. Parity codes add an extra bit to allow detection of errors in transmitted data by checking if the total number of 1s is even or odd. Block parity codes apply this to blocks of data with row and column parity. Hamming codes can detect single and double bit errors using additional parity bits placed in specific bit locations. This allows identification and correction of single bit errors during data transmission.
This document discusses compiler architecture and intermediate code generation. It begins by describing the typical phases of a compiler: parsing, static checking, and code generation. It then discusses intermediate code, which ties the front end and back end phases together and is language and machine independent. Various forms of intermediate code are described, including trees, postfix notation, and triple/quadruple intermediate code. The rest of the document focuses on triple/quadruple code, including how it represents expressions, statements, addressing of arrays, and the translation process from source code to triple/quadruple intermediate code.
The document discusses intermediate code generation in compilers. It aims to generate a machine-independent intermediate form (IR) that is suitable for optimization and portability. The IR facilitates retargeting compilers to new machines and enables machine-independent code optimization. Common IR representations include abstract syntax trees, directed acyclic graphs, control flow graphs, postfix notation, and three-address code. Three-address code is a simple representation where instructions have at most three operands. It allows efficient code manipulation and optimization.
The document describes intermediate code generation during compilation.
1) An intermediate language is used to translate source programs into a form that is CPU independent yet close to machine language. This facilitates code optimization and retargeting of compilers.
2) Common intermediate languages include syntax trees, postfix notation, and three-address code using quadruples. Three-address code breaks down expressions into single assignment statements to simplify optimization.
3) Semantic rules for syntax-directed translation are described to generate three-address code for expressions, assignments, procedures, and other language constructs. Attributes track temporary variables and generated code.
This document provides information about Dr. Krishnanaik Vankdoth and his background and qualifications. It then discusses digital logic design topics like digital circuits, combinational logic, sequential circuits, logic gates, truth tables, adders, decoders, encoders, multiplexers and demultiplexers. Example circuits are provided and the functions of components like full adders, parallel adders, magnitude comparators are explained through diagrams and logic equations.
This document discusses different number systems including decimal, binary, octal, and hexadecimal. It provides explanations of how each system works including the base or radix, valid digits, and how values are determined by place weighting. Conversion between number systems is also covered, explaining how to mathematically or non-mathematically convert values between decimal, binary, octal, and hexadecimal. Learning these number systems is important for understanding computers, PLCs, and other digital devices that use binary numbers.
This document describes a circuit to convert between binary coded decimal (BCD) and excess-3 code. It begins by explaining that code converters are needed when different systems use different codes to represent the same information. It then provides background on BCD, which represents each decimal digit with 4 bits, and excess-3 code, which adds 0011 to each BCD value. The document presents the truth table for the conversion and uses Karnaugh maps to derive the Boolean expressions for converting each output bit. It concludes by mentioning some early applications of excess-3 code in computers, cash registers and calculators.
This topic-based on Compiler Design Subject, III B.Tech-CSE Students, Intermediate Code Generation is the 3rd module of compiler design subject, these topics totally related to the second subjective assignment of Academic Writing in Swayam online course.
The document describes a 4-bit comparator circuit that compares two 4-bit binary numbers and outputs whether they are equal, if the first number is less than the second, or if the first is greater. It provides examples of the circuit comparing different 4-bit inputs and correctly outputting the relationship between the numbers. The comparator circuit has applications in electronic locks and security devices to compare binary passwords.
The document discusses octal encoding. It explains that octal uses base-8 numerals from 0-7 and can be made from binary by grouping bits into threes. An octal to binary encoder has eight input lines for each octal digit and three output lines to generate the corresponding binary code. Only one input should be active at a time. The encoder can be implemented using OR gates based on output equations. There are issues when all inputs are zero or just the zero input is active.
Bitwise Operations in Programming - Webinar with dr. Svetlin Nakov (30 April 2020)
Contents:
The 4 groups of software development skills
- Coding, algorithms, development concepts, technologies
Numerals systems
- Decimal, binary, hexadecimal
- Conversion between numeral systems
Bitwise operations (&, I, ^, ~)
- Processing bits in programming
- Reading / writing bits from integers
How to become a software developer?
Blog: https://nakov.com/blog/2020/04/30/bitwise-operations-in-programming-webinar-nakov-april-2020
Video (in Bulgarian): https://youtu.be/svD-eXRVCx8
Digital systems represent quantities using symbols called digits that can take various forms such as binary, octal, and hexadecimal. The binary number system uses two symbols, 0 and 1, and is important for digital circuits. Decimal numbers can be converted to binary by repeatedly dividing the number by two and writing the remainders as binary digits. Real numbers are represented internally using a mantissa and exponent in binary form. Character encoding schemes like ASCII and ISCII assign numeric codes to letters and symbols to allow text to be represented digitally, with Unicode now providing a standard coding that supports many languages.
The document discusses code generation which is the final phase of a compiler that generates target code such as assembly code by selecting memory locations for variables, translating instructions into assembly instructions, and assigning variables and results to registers, and it outlines some of the key issues in code generation such as handling the input representation, the target language, instruction selection, register allocation, and evaluation order.
The document discusses intermediate code in compilers. It defines intermediate code as the interface between a compiler's front end and back end. Using an intermediate representation facilitates retargeting a compiler to different machines and applying machine-independent optimizations. The document then describes different types of intermediate code like triples, quadruples and SSA form. It provides details on three-address code including quadruples, triples and indirect triples. It also discusses addressing of array elements and provides an example of translating a C program to intermediate code.
This document discusses error detection and correction codes. It introduces parity bits which add an extra bit to allow detection of errors in binary data transmission. Hamming codes are described as allowing for both error detection and correction by adding multiple parity bits in specific locations. Finally, the document notes that Hamming codes can be modified to enable single error correction and double error detection.
1. Digital systems represent information in binary form and use binary logic elements like logic gates to process data. Quantities are stored as binary values in storage elements like flip-flops.
2. There are different number systems like binary, decimal, and other bases. Converting between them involves procedures like partitioning into groups or dividing and accumulating remainders.
3. Representing negative numbers in binary involves sign-magnitude, 1's complement, or 2's complement systems. The 2's complement is most common for computer arithmetic due to its simplicity.
This document discusses backpatching and syntax-directed translation for boolean expressions and flow-of-control statements. It describes using three functions - Makelist, Marklist, and Backpatch - to generate code with backpatching during a single pass. Boolean expressions are translated by constructing syntax trees and associating semantic actions to record quadruple indices for later backpatching. Flow-of-control statements like IF and WHILE are handled similarly, using marker nonterminals to record quadruple numbers for backpatching statement lists.
This document discusses using the C programming language for microcontrollers like the 8051. It covers C basics, compilation process, data types, variables, operators, control flow statements, functions, accessing memory regions, interrupts, inline assembly, and interfacing C with hardware. Examples are provided for blinking LEDs, adding numbers, logic operations, timers, analog to digital conversion, and temperature calculation from sensor readings.
This document provides an introduction to Verilog HDL including:
- A brief overview of the basic design process for digital systems and the importance of HDLs like Verilog.
- Key topics that will be covered in Verilog like basic concepts, operators, data types, modules, simulation etc.
- Details on specific Verilog language elements like identifiers, keywords, numbers, data types, operators, comments etc. along with examples.
- The goals of learning Verilog which are understanding basic concepts of Verilog like operators, whitespace, comments, number specifications and data types.
Verilog is a hardware description language used to design digital circuits. It allows designs to be described at different levels of abstraction, from behavioral to gate level. At the behavioral level, algorithms and dataflow are described. Modules define design entities and are instantiated within other modules. Always and initial blocks specify concurrent and sequential procedural blocks. Dataflow and gate-level modeling instantiate primitives like logic gates. Verilog supports procedural assignments, parameters, user-defined tasks and functions, and testbenches for simulation.
Dr. Gargi Khanna discusses error detection and correction codes such as parity codes and Hamming codes. Parity codes add an extra bit to allow detection of errors in transmitted data by checking if the total number of 1s is even or odd. Block parity codes apply this to blocks of data with row and column parity. Hamming codes can detect single and double bit errors using additional parity bits placed in specific bit locations. This allows identification and correction of single bit errors during data transmission.
This document discusses compiler architecture and intermediate code generation. It begins by describing the typical phases of a compiler: parsing, static checking, and code generation. It then discusses intermediate code, which ties the front end and back end phases together and is language and machine independent. Various forms of intermediate code are described, including trees, postfix notation, and triple/quadruple intermediate code. The rest of the document focuses on triple/quadruple code, including how it represents expressions, statements, addressing of arrays, and the translation process from source code to triple/quadruple intermediate code.
The document discusses intermediate code generation in compilers. It aims to generate a machine-independent intermediate form (IR) that is suitable for optimization and portability. The IR facilitates retargeting compilers to new machines and enables machine-independent code optimization. Common IR representations include abstract syntax trees, directed acyclic graphs, control flow graphs, postfix notation, and three-address code. Three-address code is a simple representation where instructions have at most three operands. It allows efficient code manipulation and optimization.
The document describes intermediate code generation during compilation.
1) An intermediate language is used to translate source programs into a form that is CPU independent yet close to machine language. This facilitates code optimization and retargeting of compilers.
2) Common intermediate languages include syntax trees, postfix notation, and three-address code using quadruples. Three-address code breaks down expressions into single assignment statements to simplify optimization.
3) Semantic rules for syntax-directed translation are described to generate three-address code for expressions, assignments, procedures, and other language constructs. Attributes track temporary variables and generated code.
This document provides information about Dr. Krishnanaik Vankdoth and his background and qualifications. It then discusses digital logic design topics like digital circuits, combinational logic, sequential circuits, logic gates, truth tables, adders, decoders, encoders, multiplexers and demultiplexers. Example circuits are provided and the functions of components like full adders, parallel adders, magnitude comparators are explained through diagrams and logic equations.
This document discusses different number systems including decimal, binary, octal, and hexadecimal. It provides explanations of how each system works including the base or radix, valid digits, and how values are determined by place weighting. Conversion between number systems is also covered, explaining how to mathematically or non-mathematically convert values between decimal, binary, octal, and hexadecimal. Learning these number systems is important for understanding computers, PLCs, and other digital devices that use binary numbers.
This document describes a circuit to convert between binary coded decimal (BCD) and excess-3 code. It begins by explaining that code converters are needed when different systems use different codes to represent the same information. It then provides background on BCD, which represents each decimal digit with 4 bits, and excess-3 code, which adds 0011 to each BCD value. The document presents the truth table for the conversion and uses Karnaugh maps to derive the Boolean expressions for converting each output bit. It concludes by mentioning some early applications of excess-3 code in computers, cash registers and calculators.
This topic-based on Compiler Design Subject, III B.Tech-CSE Students, Intermediate Code Generation is the 3rd module of compiler design subject, these topics totally related to the second subjective assignment of Academic Writing in Swayam online course.
The document describes a 4-bit comparator circuit that compares two 4-bit binary numbers and outputs whether they are equal, if the first number is less than the second, or if the first is greater. It provides examples of the circuit comparing different 4-bit inputs and correctly outputting the relationship between the numbers. The comparator circuit has applications in electronic locks and security devices to compare binary passwords.
The document discusses octal encoding. It explains that octal uses base-8 numerals from 0-7 and can be made from binary by grouping bits into threes. An octal to binary encoder has eight input lines for each octal digit and three output lines to generate the corresponding binary code. Only one input should be active at a time. The encoder can be implemented using OR gates based on output equations. There are issues when all inputs are zero or just the zero input is active.
Bitwise Operations in Programming - Webinar with dr. Svetlin Nakov (30 April 2020)
Contents:
The 4 groups of software development skills
- Coding, algorithms, development concepts, technologies
Numerals systems
- Decimal, binary, hexadecimal
- Conversion between numeral systems
Bitwise operations (&, I, ^, ~)
- Processing bits in programming
- Reading / writing bits from integers
How to become a software developer?
Blog: https://nakov.com/blog/2020/04/30/bitwise-operations-in-programming-webinar-nakov-april-2020
Video (in Bulgarian): https://youtu.be/svD-eXRVCx8
Digital systems represent quantities using symbols called digits that can take various forms such as binary, octal, and hexadecimal. The binary number system uses two symbols, 0 and 1, and is important for digital circuits. Decimal numbers can be converted to binary by repeatedly dividing the number by two and writing the remainders as binary digits. Real numbers are represented internally using a mantissa and exponent in binary form. Character encoding schemes like ASCII and ISCII assign numeric codes to letters and symbols to allow text to be represented digitally, with Unicode now providing a standard coding that supports many languages.
The document discusses code generation which is the final phase of a compiler that generates target code such as assembly code by selecting memory locations for variables, translating instructions into assembly instructions, and assigning variables and results to registers, and it outlines some of the key issues in code generation such as handling the input representation, the target language, instruction selection, register allocation, and evaluation order.
The document discusses intermediate code in compilers. It defines intermediate code as the interface between a compiler's front end and back end. Using an intermediate representation facilitates retargeting a compiler to different machines and applying machine-independent optimizations. The document then describes different types of intermediate code like triples, quadruples and SSA form. It provides details on three-address code including quadruples, triples and indirect triples. It also discusses addressing of array elements and provides an example of translating a C program to intermediate code.
This document discusses error detection and correction codes. It introduces parity bits which add an extra bit to allow detection of errors in binary data transmission. Hamming codes are described as allowing for both error detection and correction by adding multiple parity bits in specific locations. Finally, the document notes that Hamming codes can be modified to enable single error correction and double error detection.
1. Digital systems represent information in binary form and use binary logic elements like logic gates to process data. Quantities are stored as binary values in storage elements like flip-flops.
2. There are different number systems like binary, decimal, and other bases. Converting between them involves procedures like partitioning into groups or dividing and accumulating remainders.
3. Representing negative numbers in binary involves sign-magnitude, 1's complement, or 2's complement systems. The 2's complement is most common for computer arithmetic due to its simplicity.
This document discusses backpatching and syntax-directed translation for boolean expressions and flow-of-control statements. It describes using three functions - Makelist, Marklist, and Backpatch - to generate code with backpatching during a single pass. Boolean expressions are translated by constructing syntax trees and associating semantic actions to record quadruple indices for later backpatching. Flow-of-control statements like IF and WHILE are handled similarly, using marker nonterminals to record quadruple numbers for backpatching statement lists.
This document discusses using the C programming language for microcontrollers like the 8051. It covers C basics, compilation process, data types, variables, operators, control flow statements, functions, accessing memory regions, interrupts, inline assembly, and interfacing C with hardware. Examples are provided for blinking LEDs, adding numbers, logic operations, timers, analog to digital conversion, and temperature calculation from sensor readings.
This document provides an introduction to Verilog HDL including:
- A brief overview of the basic design process for digital systems and the importance of HDLs like Verilog.
- Key topics that will be covered in Verilog like basic concepts, operators, data types, modules, simulation etc.
- Details on specific Verilog language elements like identifiers, keywords, numbers, data types, operators, comments etc. along with examples.
- The goals of learning Verilog which are understanding basic concepts of Verilog like operators, whitespace, comments, number specifications and data types.
Verilog is a hardware description language used to design digital circuits. It allows designs to be described at different levels of abstraction, from behavioral to gate level. At the behavioral level, algorithms and dataflow are described. Modules define design entities and are instantiated within other modules. Always and initial blocks specify concurrent and sequential procedural blocks. Dataflow and gate-level modeling instantiate primitives like logic gates. Verilog supports procedural assignments, parameters, user-defined tasks and functions, and testbenches for simulation.
This document provides an overview of various data types and constructs in Verilog hardware description language (HDL), including strings, identifiers, keywords, nets, registers, vectors, integers, real numbers, time, arrays, memories, and parameters. It defines each concept, provides examples of declarations and usage, and references additional resources for further reading. The key topics covered are data representation, variable types, module constructs, and modeling memory in Verilog HDL.
Verilog Tutorial - Verilog HDL Tutorial with ExamplesE2MATRIX
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Simulation tools typically accept full set of Verilog language constructs
Some language constructs and their use in a Verilog description make simulation efficient and are ignored by synthesis tools
Synthesis tools typically accept only a subset of the full Verilog language constructs
In this presentation, Verilog language constructs not supported in Synopsys FPGA Express are in red italics
There are other restrictions not detailed here, see [2].
The Module Concept
Basic design unit
Modules are:
Declared
Instantiated
Modules declarations cannot be nested
This document provides an overview of System Verilog concepts including simulation and synthesis, modules and primitives, styles, data types, operators, and more. Key points covered include the module concept as the basic design unit, module declaration syntax, module instantiation, different styles like structural, RTL/dataflow and behavioral, data types for nets and registers, number representation formats, and basic Verilog operators. The document serves as a tutorial introduction to essential System Verilog language constructs.
This document discusses Verilog programming and FPGA based system design. It provides examples of half adder, full adder, and 4-bit full adder modules written in Verilog. It also discusses module instantiation and design hierarchy. Lexical conventions in Verilog such as comments, operators, numbers, identifiers, and data types are described. Data types covered include wires, registers, vectors, and integer, real, and time register types.
The document discusses various methods for representing numeric data in a computer system, including binary, decimal, fixed-point, and floating-point representations. It describes word length in bits and bytes and how numbers are stored in memory in big-endian and little-endian formats. Signed number representations like sign-magnitude, one's complement, and two's complement are also summarized. Various decimal coding schemes such as BCD, ASCII, excess-three, and two-out-of-five are defined.
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This document provides a summary of the MetaQuotes Language 4 (MQL4) programming language. MQL4 allows users to create expert advisors, indicators, scripts and libraries to automate trading strategies. The document covers MQL4 syntax including data types, variables, functions, operators and expressions. It provides examples and descriptions of commands for technical analysis, trading and working with arrays, strings, colors and dates.
This document provides a summary of the MetaQuotes Language 4 (MQL4) programming language. MQL4 allows users to create expert advisors, indicators, scripts and libraries to automate trading strategies. The document covers MQL4 syntax including data types, variables, functions, operators and expressions. It provides examples of constants, arithmetic operations, logical operations and more. MQL4 programs can be used to create automated or algorithmic trading systems through expert advisors or analyze markets using custom indicators.
This document discusses basic concepts in Verilog HDL including lexical conventions, data types, and system tasks and compiler directives. It covers topics such as keywords, operators, numbers, comments, nets, registers, vectors, integer/real/time data types, arrays, memories, parameters, and strings. Examples of system tasks like $display, $monitor, $stop, and $finish are provided along with examples of compiler directives like `define and `include.
The document provides information on the C programming language. It discusses that C was developed in 1972 by Dennis Ritchie at Bell Labs. C is a portable, structured programming language known for its ability to extend itself through functions. The document outlines the basic structure of a C program and common elements like variables, data types, operators, and functions. It also provides a brief history of C and how it has become one of the most widely used programming languages.
The document discusses basic concepts in Verilog including lexical conventions, data types, and system tasks. It covers topics like comments, numbers, operators, identifiers, data types for nets, registers and vectors. Lexical conventions like whitespace, comments, operators, number representation, strings, and escaped identifiers are explained. Data types discussed include nets, registers, vectors, vector part selects, and variable vector part selects.
CS304PC:Computer Organization and Architecture Unit- III PDF notes .pdfAsst.prof M.Gokilavani
This document provides an overview of data representation and computer arithmetic. It discusses:
1) Different data types that can be stored in computer registers including numbers, letters, and other symbols represented in binary-coded form.
2) Various number systems for representing data like binary, octal, hexadecimal, and decimal. It also covers complements, fixed point representation, and floating point representation.
3) Computer arithmetic operations like addition, subtraction, multiplication and division. It describes algorithms and hardware implementations for performing these operations on different data types like fixed point binary, floating point binary, and BCD data.
The document provides an overview of key concepts in C# programming including:
1) It describes the basic parts of a C# program including the class name, main method, and statements like Console.WriteLine.
2) It explains data types in C# like integer, floating point, decimal, and character types along with their sizes in memory.
3) It discusses literals, variables, identifiers, keywords, and implicit/explicit casting between data types.
The document provides an overview of key concepts in C# programming including:
1) It describes the basic parts of a C# program including the class name, main method, and statements like Console.WriteLine.
2) It explains data types in C# like integer, floating point, decimal, and character types along with their sizes in memory.
3) It discusses literals, variables, identifiers, keywords, and implicit/explicit casting between data types.
This document provides an overview of C programming, including getting started, keywords, identifiers, variables, constants, and data types. It explains that C is an efficient programming language widely used for system and application software. It also covers the basics of compilers, keywords, variables, constants, and different data types like integers, floats, characters, and more. The document is intended for beginners to provide a solid foundation of C programming concepts.
This document provides an overview of data representation in computers. It discusses binary, decimal, hexadecimal, and floating point number systems. Binary numbers use only two digits, 0 and 1, and can represent values as sums of powers of two. Decimal uses ten digits from 0-9. Hexadecimal uses sixteen values from 0-9 and A-F. Negative binary integers can be represented using ones' complement or twos' complement methods. Twos' complement avoids multiple representations of zero and is commonly used in computers. Converting between number bases involves expressing the value in one base using the digits of another.
Data Types and Variables In C ProgrammingKamal Acharya
This document discusses data types and variables in C programming. It defines the basic data types like integer, floating point, character and void. It explains the size and range of integer and floating point data types. It also covers user-defined data types using typedef and enumeration. Variables are used to store and manipulate data in a program and the document outlines the rules for declaring variables and assigning values to them.
This document discusses how different C data types are stored in memory. It describes the basic integer and floating point types, including their storage sizes and value ranges. It also covers void, enumerated, pointer, array, structure, and union types. For integers, it provides the memory representations of char, both signed and unsigned. It explains the memory layout of a C program, including the text, data, stack, and heap segments. Finally, it briefly discusses big and little endian formats for multibyte data storage.
This document discusses Verilog hardware description language (HDL) concepts including dataflow modeling, operator types, arithmetic operators, logical operators, relational operators, and equality operators. Specifically, it covers continuous assignments, delays, binary and unary arithmetic operators, logical operators like AND and OR, relational comparisons, and equality checks. The purpose is to teach learning objectives around modeling digital designs and basic Verilog constructs.
The document discusses different cloud topologies including public, private, and hybrid clouds. It describes the key features of each: public clouds are managed by third parties and users pay for resources used; private clouds are managed and owned by the user and offer more security; hybrid clouds combine aspects of public and private clouds. The document also outlines different cloud access models including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). IaaS provides on-demand access to infrastructure resources, PaaS provides development platforms, and SaaS provides fully-functional web applications.
This document discusses low-power wide area networks (LPWAN) and Internet of Things (IoT) connectivity. It describes LPWAN as a wireless technology that interconnects low-power devices over long ranges at low bit rates and lower costs than traditional networks. Common LPWAN technologies discussed include Sigfox, LoRa, NB-IoT, and Cat-M1. Applications of LPWANs include environmental monitoring. Key features are long range communication, low bit rates, low power consumption, and better connectivity. IoT gateways are also summarized as hardware that bridges communication between sensors/devices and the internet by aggregating and preprocessing data.
The document discusses applications of the Internet of Things (IoT). It describes major application areas of IoT such as manufacturing and logistics, smart transportation, environmental monitoring, energy and utilities, and home automation. Specific applications mentioned include automation, real-time stock monitoring, traffic data collection, weather forecasting, smart electricity grids, security systems, and health monitoring devices. The document also presents challenges of IoT like power consumption, security, and data storage and processing. It provides case studies on smart irrigation systems, home automation, and smart cities and their benefits.
Logic synthesis is the process of converting a high-level design description into an optimized gate-level representation using a standard cell library and design constraints. The process involves translating the RTL description into an unoptimized internal representation, optimizing the logic, technology mapping, and producing an optimized gate-level netlist. An example logic synthesis flow is described for a 4-bit magnitude comparator design from RTL to optimized gates.
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Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
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Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
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Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
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The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
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Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
4. Basic concepts ofVerilog-
Whitespace
➢Blank spaces b ,
➢ tabs t and
➢newlines n
Whitespace is ignored byVerilog except
when it separates tokens.Whitespace is not
ignored in strings.
5. Comments
Comments can be inserted in the code
for readability and documentation.
There are two ways to write comments.
A one-line comment starts with "//".
Verilog skips from that point to the end
of line.
A multiple-line comment starts with
"/* and ends with "*/".
Multiple-line comments cannot be nested
6. Operators
Operators are of three types,
unary, binary, and ternary.
Unary operators precede the operand.
Binary operators appear between two operands.
Ternary operators have two separate operators
that separate three operands.
a = - b; // - is a unary operator. b is the operand
a = b && c; // && is a binary operator. b and c are
operands
a = b ? c : d; // ?: is a ternary operator. b, c and d
are operands
7. Verilog Operators
Arithmetic Operators
C =A+ B;
puts the three-bit sum of A plus B into C,
while
C =A− B;
puts the difference of A and B into C.The
operation
C=A*B
C = −A;
places the 2’s complement of A into C.
8.
9. Number Specification:
Two types of number specification inVerilog:
sized and unsized
Sized numbers :
Sized numbers are represented as
<size> ‘ <base format> <number>.
<size> is written only in decimal and specifies the number of bits in the
number.
Legal base formats are:
decimal: ('d or 'D),
hexadecimal : ('h or 'H),
binary : ('b or 'B)
octal : ('0 or '0).
The number is specified as consecutive digits from O,1,2,3, 4,5, 6, 7, 8, 9, a, b, c,
d, e, f. Only a subset of these digits is legal for a particular base.
Note: Uppercase letters are legal for number specification.
4'b1111 //This is a 4-bit binary number
12'h D6F //This is a 12-bit hexadecimal number
16'd255 //This is a 16-bit decimal number.
10. Unsized numbers:
Numbers that are specified without a <base
format> specification are decimal numbers by
default.
Numbers that are written without a <size>
specification have a default number of bits that is
simulator- and machine-specific (must be at
least32).
23456 // This is a 32-bit decimal number
'hC3 //This is a 32-bit hexadecimal number
'021 // This is a 32-bit octal number
11. X or z values
Verilog has two symbols for unknown and
high impedance values.
These values are very important for
modeling real circuits.
An unknown value is denoted by an X.
A high impedance value is denoted by z.
12'h13x //This is a 12-bit hex number; 4 least
significant bits unknown
6'hx //This is a 6-bit unknown hex number
32'bz //This is a 32-bit high impedance number
12. An X or z sets four bits for a number in
the hexadecimal base, three bits for a
number in the octal base, and one bit for
a number in the binary base.
If the most significant bit of a number is of
X, or z, the number is automatically
extended to fill the most significant bits,
respectively, with 0, X, or z.
This makes it easy to assign X or z to
whole vector. If the most significant digit
is I, then it is also zero extended.
13. Negative numbers:
Negative numbers can be specified by
putting a minus sign before the size for
a constant number.
Size constants are always positive. It is
illegal to have a minus sign between
<base format> and <number>.
-6'd3 // 6-bit negative decimal
number stored as 2's
complement of 3
4'd-2 // Illegal specification
14. Underscore characters and question
marks An underscore character "-" is
allowed anywhere in a number except
the first character.
Underscore characters are allowed
only to improve readability of numbers
and are ignored byVerilog.
A question mark "?" is theVerilog HDL
alternative for z in the context of
numbers.
12'b1111_0000_1010 // Use of
underline characters for readability
4'b10?? // Equivalent of a 4'blOzz
15. References:
Verilog HDL A guide to digital design & synthesis By Samir Palnitkar,
Pearson Second Edition
Fundamental of digital logic with Verilog By Stephen Brown, Zvonko
Vranesic, Tata McGraw Hill