The document discusses algorithms and flowcharts. It defines an algorithm as a finite set of steps to solve a problem and notes that algorithms can be expressed in various ways, including pseudocode and flowcharts. Pseudocode uses a language similar to programming but without specific syntax, making it readable by programmers familiar with different languages. A flowchart provides a graphical representation of an algorithm's logical flow. The document provides examples of algorithms expressed in pseudocode and represented through flowcharts, such as finding the average of two numbers and calculating the largest of several inputs. It also discusses common flowchart structures like sequence, selection, and iteration.
Pseudocode is an outline of a program written in a way that can be easily converted to a programming language. It uses natural language and programming constructs like expressions, methods, decision structures, loops, and array indexing. The three essential programming constructs are selection (if/else), repetition (while loops), and sequence. Pseudocode also uses relational, logical, and arithmetic operators and follows rules like using meaningful names and indenting code blocks.
This document introduces algorithms and the process of program development. It defines an algorithm as a precise list of instructions that terminates after a finite number of steps to solve a problem. It discusses methods of specifying algorithms like pseudocode and flowcharts. Properties of algorithms include being finite, unambiguous, and having a defined sequence of execution and input/output. The steps of program development are stated as understanding the problem, planning instructions, coding the program, running and debugging it. Flowcharting guidelines and common symbols are provided. Sample exercises demonstrate writing programs to calculate simple formulas.
The document discusses algorithms, providing definitions and examples of algorithms including Euclid's algorithm for computing the greatest common divisor. It also outlines properties that algorithms must have including finiteness, absence of ambiguity, defined sequence and inputs/outputs. Pseudocode is introduced as a way to express algorithms at a high level for human reading using basic logic structures like sequence, selection, and iteration.
Algorithms, flow charts and pseudocodesSatveer Mann
The document discusses algorithms, pseudocode, and flow charts. It defines an algorithm as a finite set of steps to solve a problem, and describes characteristics like finiteness, simplicity, and absence of ambiguity. The document also outlines the typical steps to write an algorithm, methods to verify algorithms, and provides an example of adding two numbers. Additionally, it describes flow charts as a pictorial representation of a problem's solution using standard symbols. Common flow chart symbols like terminators, decision diamonds, and processes are defined. Finally, the document defines pseudocode as a high-level description of an algorithm's logic using plain English phrases instead of programming code.
To understand algorithm and flowchart, it is better to refer this Slideshare that I have created. I have thoroughly presented the key points that make easy in remembering what algorithm and flowchart is. The slide is really simple and wonderful to use it for a quick reference.
This document provides information about programming fundamentals including definitions of computer hardware, software, operating systems, compilers, interpreters, source code, and text editors. It discusses how computer hardware refers to physical components like the monitor, keyboard, and CPU, and how software includes programs that direct the computer's processor. It also summarizes the differences between compilers and interpreters in processing source code.
This document discusses the evolution of programming languages from early machine languages to modern higher-level languages. It begins with an introduction to human and computer languages. It then covers the development of machine languages, assembly languages, and higher-level languages like FORTRAN and COBOL. The document discusses the advantages of each generation of languages and examples of languages from the 1950s to modern times.
Operators take operands and perform computations. Operands and operators form expressions, which are evaluated based on operator precedence and context. Expressions can result in values or side effects. Statements specify actions and are usually executed sequentially. Operator precedence determines the order of operations in expressions and can affect results if not explicitly grouped with parentheses. Precedence levels conform to mathematical order with parentheses having highest precedence.
Assembly language is a low-level programming language that corresponds directly to a processor's machine language instructions. It uses symbolic codes that are assembled into machine-readable object code. Assembly languages are commonly used when speed, compact code size, or direct hardware interaction is important. Assemblers translate assembly language into binary machine code that can be directly executed by processors.
The document discusses the evolution of programming languages from first to third generation languages. First generation languages were machine code using binary, while second generation introduced assembly language with mnemonic codes. Third generation languages brought features like loops and conditionals, making code easier to write but requiring compilers or interpreters to convert to machine code. Some examples of early third generation languages discussed are FORTRAN, BASIC, COBOL, and PASCAL.
The document introduces programming and the C++ language. It explains that a program is a set of instructions given to a computer in a programming language to perform tasks. High-level languages like C++ were created because computers only understand binary and it is impossible for humans to program in binary. The document then covers the anatomy of a simple "Hello World" C++ program, including main functions, header files, output statements, strings, and terminators. It concludes by explaining how C++ source code is compiled into machine code and executed.
BASIC is a family of high-level programming languages that was originally developed in the 1960s. It was designed to be easy to learn and use, especially for non-technical users. Some key features of early BASIC dialects included simple English-like commands, loops, user-defined functions, and built-in math and string functions. While criticized for potentially encouraging poor programming practices, BASIC was highly successful due to its ease of use and ability to run on many different systems. It evolved significantly over time with improved structured programming features and was adapted for personal computers and later graphical user interfaces.
C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. This lecture series will give you basic concepts of structured programming language with C.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
The document discusses various control structures used in programming, including sequence, repetition (loops), and selection (branching). It covers common loop and conditional statements like while, for, if/else, switch/case. Control structures allow programs to execute instructions in different orders depending on conditions or to repeat steps multiple times. Keywords like break and continue change the normal flow of loops.
This document provides an overview of problem solving using computers. It discusses the 7 stages of problem solving: 1) problem analysis, 2) algorithm development, 3) flowcharting, 4) coding, 5) compilation and execution, 6) debugging and testing, and 7) documentation. It also covers computer programs, programming languages, and the basic structure of a C program, which typically includes documentation, include libraries, definitions, global declarations, the main function, and subprograms.
The document discusses coding guidelines and best practices for software development. It covers topics like coding standards, programming practices, documentation, and code verification techniques. The key points are that coding follows design, modules should be independently coded and tested, documentation is important, and reviews/testing help verify code quality.
1) A flowchart is a graphical representation of an algorithm or process that uses standard symbols to indicate the flow of logic and sequence of steps.
2) Flowcharts are useful for documenting and understanding complex logic in a language-independent way. They can represent sequential statements, branching, looping, and other control structures.
3) Guidelines for drawing flowcharts include using standard symbols, maintaining logical sequence from top to bottom, and ensuring only one line enters decision points while multiple lines can leave.
C Prog. - Introduction to Hardware, Software, Algorithm & Flowchartvinay arora
This document discusses C programming and computer graphics. It covers hardware components like display devices (CRT, LCD), input devices (keyboard, mouse, trackball, joystick), and output devices (dot matrix printer, laser printer, plotter). It also discusses algorithms, flowcharts, and different control structures in programming like sequence, selection, and repetition. Flowcharts are used to document the program logic and algorithm. Examples of algorithms and flowcharts for problems like finding the largest of three numbers are included.
To understand algorithm and flowchart, it is better to refer this Slideshare that I have created. I have thoroughly presented the key points that make easy in remembering what algorithm and flowchart is. The slide is really simple and wonderful to use it for a quick reference.
This document provides information about programming fundamentals including definitions of computer hardware, software, operating systems, compilers, interpreters, source code, and text editors. It discusses how computer hardware refers to physical components like the monitor, keyboard, and CPU, and how software includes programs that direct the computer's processor. It also summarizes the differences between compilers and interpreters in processing source code.
This document discusses the evolution of programming languages from early machine languages to modern higher-level languages. It begins with an introduction to human and computer languages. It then covers the development of machine languages, assembly languages, and higher-level languages like FORTRAN and COBOL. The document discusses the advantages of each generation of languages and examples of languages from the 1950s to modern times.
Operators take operands and perform computations. Operands and operators form expressions, which are evaluated based on operator precedence and context. Expressions can result in values or side effects. Statements specify actions and are usually executed sequentially. Operator precedence determines the order of operations in expressions and can affect results if not explicitly grouped with parentheses. Precedence levels conform to mathematical order with parentheses having highest precedence.
Assembly language is a low-level programming language that corresponds directly to a processor's machine language instructions. It uses symbolic codes that are assembled into machine-readable object code. Assembly languages are commonly used when speed, compact code size, or direct hardware interaction is important. Assemblers translate assembly language into binary machine code that can be directly executed by processors.
The document discusses the evolution of programming languages from first to third generation languages. First generation languages were machine code using binary, while second generation introduced assembly language with mnemonic codes. Third generation languages brought features like loops and conditionals, making code easier to write but requiring compilers or interpreters to convert to machine code. Some examples of early third generation languages discussed are FORTRAN, BASIC, COBOL, and PASCAL.
The document introduces programming and the C++ language. It explains that a program is a set of instructions given to a computer in a programming language to perform tasks. High-level languages like C++ were created because computers only understand binary and it is impossible for humans to program in binary. The document then covers the anatomy of a simple "Hello World" C++ program, including main functions, header files, output statements, strings, and terminators. It concludes by explaining how C++ source code is compiled into machine code and executed.
BASIC is a family of high-level programming languages that was originally developed in the 1960s. It was designed to be easy to learn and use, especially for non-technical users. Some key features of early BASIC dialects included simple English-like commands, loops, user-defined functions, and built-in math and string functions. While criticized for potentially encouraging poor programming practices, BASIC was highly successful due to its ease of use and ability to run on many different systems. It evolved significantly over time with improved structured programming features and was adapted for personal computers and later graphical user interfaces.
C Programming Language is the most popular computer language and most used programming language till now. It is very simple and elegant language. This lecture series will give you basic concepts of structured programming language with C.
For most programming/scripting languages the concepts are all the same. The only thing that changes is the syntax in which it is written. Some languages may be easier to remember than others, but if you follow the basic guide line, it will make learning any programming language easier. This is in no way supposed to teach you everything about programming, just a general knowledge so when you do program you will understand what you are doing a little bit better.
The document discusses various control structures used in programming, including sequence, repetition (loops), and selection (branching). It covers common loop and conditional statements like while, for, if/else, switch/case. Control structures allow programs to execute instructions in different orders depending on conditions or to repeat steps multiple times. Keywords like break and continue change the normal flow of loops.
This document provides an overview of problem solving using computers. It discusses the 7 stages of problem solving: 1) problem analysis, 2) algorithm development, 3) flowcharting, 4) coding, 5) compilation and execution, 6) debugging and testing, and 7) documentation. It also covers computer programs, programming languages, and the basic structure of a C program, which typically includes documentation, include libraries, definitions, global declarations, the main function, and subprograms.
The document discusses coding guidelines and best practices for software development. It covers topics like coding standards, programming practices, documentation, and code verification techniques. The key points are that coding follows design, modules should be independently coded and tested, documentation is important, and reviews/testing help verify code quality.
1) A flowchart is a graphical representation of an algorithm or process that uses standard symbols to indicate the flow of logic and sequence of steps.
2) Flowcharts are useful for documenting and understanding complex logic in a language-independent way. They can represent sequential statements, branching, looping, and other control structures.
3) Guidelines for drawing flowcharts include using standard symbols, maintaining logical sequence from top to bottom, and ensuring only one line enters decision points while multiple lines can leave.
C Prog. - Introduction to Hardware, Software, Algorithm & Flowchartvinay arora
This document discusses C programming and computer graphics. It covers hardware components like display devices (CRT, LCD), input devices (keyboard, mouse, trackball, joystick), and output devices (dot matrix printer, laser printer, plotter). It also discusses algorithms, flowcharts, and different control structures in programming like sequence, selection, and repetition. Flowcharts are used to document the program logic and algorithm. Examples of algorithms and flowcharts for problems like finding the largest of three numbers are included.
The document provides algorithms and flowcharts for:
1) Finding the average of two numbers by inputting the numbers, adding them, and dividing the sum by 2.
2) Summing the even numbers between 1 and 20 by initializing a sum and counter, adding the counter if it is even, and incrementing the counter until it reaches 20.
3) Finding the sum of the first 50 natural numbers by initializing a sum and counter, adding the counter to the sum, and repeating until the sum reaches 50.
An algorithm is a step-by-step process for solving a problem or completing a task. There are two main tools used to document algorithms: flowcharts and pseudocode. A flowchart is a graphical representation of an algorithm that uses standardized symbols to show the sequence of steps, while pseudocode specifies the algorithm steps using natural language. The five steps in using a computer as a problem-solving tool are: developing an algorithm and flowchart, writing the program code, entering the program into the computer, testing and debugging the program, and running the program to obtain results.
The document discusses pseudo code and algorithms. It includes examples of pseudo code for algorithms to calculate averages and sums. It also contains information on flowcharts, including the components of system and program flowcharts. Keywords discussed include IF-THEN-ELSE, FOR, REPEAT-UNTIL, DO-WHILE, and GOTO.
Best Techniques To Design Programs - Program Designing TechniquesTech
Now check the Powerpoint presentation about the best techniques to design programs and softwares. For more tutorials and guides visit : www.techora.net
These techniques are also known as the problem solving techniques.These are three types :
1- Pseudocode
2- Algorithm
3- Flowchart
The document provides information on C programming and microcontrollers. It discusses:
1. The sequence of compilation from preprocessing to linking and the output of each stage.
2. Basic C programming concepts like main(), printf(), scanf(), comments, data types, variables, constants, conditional and loop statements.
3. Microcontroller programming using PIC microcontrollers, including setting pin directions using TRIS registers, reading/writing pin values using PORT registers, and an example flasher program that toggles an LED on and off.
The document discusses the process from compiling source code to executing a program. It covers preprocessing, compilation, assembly, linking, and the ELF file format. Preprocessing handles macros and conditionals. Compilation translates to assembly code. Assembly generates machine code. Linking combines object files and resolves symbols statically or dynamically using libraries. The ELF file format organizes machine code and data into sections in the executable.
Download here: https://goo.gl/3XnlzG
Flowchart slides powerpoint
A flowchart is a type of diagram that represents an algorithm, workflow or process, showing the steps as boxes of various kinds, and their order by connecting them with arrows. This diagrammatic representation illustrates a solution model to a given problem.
Dokumen tersebut membahas tentang algoritma pemrograman dasar yang mencakup pengertian algoritma, variabel, konstanta, tipe data, struktur algoritma berurutan, percabangan, pengulangan, dan pengelolaan array.
This document provides information about arrays in C programming. It defines an array as a linear list of homogeneous elements stored in consecutive memory locations. It notes that arrays always start at index 0 and end at size-1. It describes one-dimensional and multi-dimensional arrays. For one-dimensional arrays, it provides examples of declaration, definition, accessing elements, and several programs for operations like input, output, finding the largest element, and linear search. For multi-dimensional arrays, it describes how they are represented and defined with multiple subscript variables. It also includes a program to add two matrices as an example of a two-dimensional array.
Flow charts are diagrams that represent a sequence of steps to solve a problem. They use standard symbols to visually depict the logic and processes within a program or system. Flow charts facilitate communication between programmers and non-technical stakeholders. Guidelines for effective flow charts include using a logical structure, clear symbols, and ensuring the chart has a defined start and end. Pseudocode and structured English are additional tools to represent programming logic at a higher level before implementation in a specific coding language.
The document discusses functions in C programming. It defines functions as self-contained blocks of code that perform a specific task. Functions make a program more modular and easier to debug by dividing a large program into smaller, simpler tasks. Functions can take arguments as input and return values. Functions are called from within a program to execute their code.
The document discusses divide and conquer algorithms and merge sort. It provides details on how merge sort works including: (1) Divide the input array into halves recursively until single element subarrays, (2) Sort the subarrays using merge sort recursively, (3) Merge the sorted subarrays back together. The overall running time of merge sort is analyzed to be θ(nlogn) as each level of recursion contributes θ(n) work and there are logn levels of recursion.
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)
The document discusses algorithms, flowcharts, pseudocode and different programming concepts like decision structures, loops, and problem solving approaches. It provides examples of writing algorithms and drawing flowcharts to solve problems like calculating grades, converting between units, finding the largest number among inputs, calculating powers and more. It also discusses using loops, decision structures, and other programming concepts to refine algorithms and make them more efficient. Pseudocode is presented as an informal way to develop algorithms before implementation.
An algorithm is a step-by-step process to solve a problem. It must be understandable by humans. The document provides examples of algorithms such as driving to a friend's house and grading systems. It also discusses flowcharts which use symbols to visually represent information flow in an algorithm. Examples are given to draw flowcharts for calculating rectangle area based on width and length, finding average marks of four subjects, and converting feet to centimeters.
Here are the algorithms and flowcharts for the exercises:
1. Algorithm:
Step 1: Input number 1 (N1)
Step 2: Input number 2 (N2)
Step 3: If N1 > N2 then print N1 else print N2
Flowchart:
Start → Input N1 → Input N2 → N1 > N2? → Yes → Print N1 → No → Print N2 → Stop
2. Algorithm:
Step 1: Input radius (R) of circle
Step 2: Calculate area (A) as π * R^2
Step 3: Print the area (A)
Flowchart:
Start → Input R → A =
An algorithm is a set of steps to solve a problem. It has four characteristics: finiteness, definiteness, effectiveness, and inputs/outputs. To develop an algorithm, one identifies the inputs, outputs, logic, breaks the logic into simple steps, and writes the steps in order. A flowchart is a pictorial representation of an algorithm that uses standard symbols like rectangles, diamonds, and arrows. It shows the flow of instructions and is easier to understand than an algorithm. Examples are provided to write algorithms and flowcharts to convert feet to centimeters and calculate the area of a rectangle.
The document discusses algorithms and flowcharts. It defines an algorithm as an ordered sequence of steps to solve a problem and notes that algorithms go through problem solving and implementation phases. Pseudocode is used to develop algorithms, which are then represented visually using flowcharts. The document outlines common flowchart symbols and provides examples of algorithms and corresponding flowcharts to calculate grades, convert between units of length, and calculate an area. It also discusses complexity analysis of algorithms in terms of time and space.
The document discusses problem solving using computers, describing how problem solving involves defining the problem, developing an algorithm to solve it, and implementing that algorithm as a computer program. It outlines the key steps in problem solving as analyzing the problem, developing an algorithm using tools like flowcharts and pseudocode, coding the algorithm, and testing and debugging the program. Proper problem analysis and algorithm development are emphasized as critical to producing the correct output through a computer program.
The document discusses different programming techniques, including algorithms, flowcharts, and pseudocode. It provides examples of writing algorithms to solve problems like making maggi noodles, making tea, and calculating simple interest. Algorithms have advantages like being step-by-step and language independent, while disadvantages include being time-consuming. Flowcharts also help visualize programs and aid in development and maintenance but can become complex. Both algorithms and flowcharts break problems down into smaller steps before coding.
The document discusses algorithms and their building blocks. It defines an algorithm as a collection of well-defined, unambiguous and effectively computable instructions that return a proper output. The three building blocks of algorithms are identified as sequence, selection, and iteration. Sequence refers to a series of actions performed in order. Selection allows a program to choose between different actions or conditions. Iteration allows a block of code to be repeated while a condition is true. Pseudocode and flowcharts are introduced as common ways to express algorithms and illustrate the control flow and logic of a program.
Lesson 1 of c programming algorithms and flowcharts.pptxAlinaMishra7
This document provides an introduction to algorithms and flowcharts. It defines an algorithm as a step-by-step analysis of the process to solve a problem and a flowchart as a graphical representation of the algorithm steps. The key points made are:
- Algorithms and flowcharts help clarify the problem solving process.
- A typical programming task involves problem solving to define the algorithm and implementation to code it.
- Characteristics of an algorithm include inputs, outputs, definiteness, and finiteness.
- Control structures in algorithms and flowcharts include sequence, branching, and looping.
- Pseudocode is used to develop algorithms before coding.
- Standard symbols are used in flowcharts to represent different control
This document discusses algorithms, flowcharts, and pseudocode. It defines algorithms as a set of well-defined steps to solve a problem and notes they should be unambiguous and effective. Flowcharts are described as using shapes and arrows to visually represent algorithmic processes and common symbols are shown. Pseudocode is an informal language similar to English used to develop algorithms. Examples of each are provided, including an algorithm and flowchart to calculate the area of a circle from a radius input.
An algorithm is a set of steps to solve a problem. Algorithms should be developed before building computer programs to solve problems. There are typically four basic steps: 1) analyze the problem, 2) design an algorithm solution, 3) write the program based on the algorithm, 4) test the program. Pseudocode uses plain English and some programming syntax to represent algorithms. Flowcharts use graphical symbols to represent algorithm steps and logic visually.
The document outlines the objectives and contents of the course GE3151 Problem Solving and Python Programming. The objectives include understanding algorithmic problem solving, solving problems using Python conditionals and loops, defining functions, and using data structures like lists, tuples and dictionaries. The course is divided into 5 units which cover topics like computational thinking, Python data types and expressions, control flow and functions, lists and tuples, files and modules. Some illustrative problems mentioned are finding the minimum in a list, solving towers of Hanoi problem, calculating distance between two points, checking voter eligibility, and preparing a retail bill.
The document discusses problem solving skills in computer programming. It explains the four basic operations of input, output, processing, and storage. It provides examples of how each operation is represented in pseudocode. The document also outlines the steps for problem solving, including defining the problem, creating an algorithm using pseudocode, and implementing the algorithm in a programming language. It provides examples of algorithms and flowcharts to illustrate problem solving techniques.
This document discusses algorithms and how to create good algorithms. It defines an algorithm as a step-by-step procedure to solve a problem. It lists properties of good algorithms as being simple, complete, correct, with appropriate abstraction and precision. The document provides examples of algorithms using pseudocode and discusses different types of algorithms like sequence, decision, and repetition. It also outlines the steps to create an algorithm as analyzing the problem, designing a solution, implementing the program, testing it, and validating it works under all circumstances.
Here are the steps to solve the problems using IPO table, pseudo code and flowchart:
1. Define the problem and understand requirements
2. Make IPO table:
- Input, Process, Output
3. Write pseudo code using proper indentation and comments
4. Draw flowchart using standard symbols
5. Test and debug the program
This systematic approach helps analyze the problem, design the algorithm and implement it properly. The key is breaking down the problem into smaller understandable steps.
Civil engineering faces significant challenges from expansive soils, which can lead to structural damage. This study aims to optimize subtractive clustering and Fuzzy C-Mean Clustering (FCM) models for the most accurate prediction of swelling percentage in expansive soils. Two ANFIS models were developed, namely the FIS1S model using subtractive clustering and the FIS2S model utilizing the FCM algorithm. Due to the MATLAB graphical user interface's limitation on the number of membership functions, the coding approach was employed to develop the ANFIS models for optimal prediction accuracy and problem-solving time. So, two programs were created to determine the optimal influence radius for the FIS1S model and the number of membership functions for the FIS2S model to achieve the highest prediction accuracy. The ANFIS models have demonstrated their highest predictive ability in predicting swelling percentage, thanks to the optimization of membership functions and cluster centers. The developed programs also showed excellent performance and can be potentially applied to optimize subtractive clustering and FCM models in accurately modeling various engineering aspects.
Third Review PPT that consists of the project d etails like abstract.Sowndarya6
CyberShieldX is an AI-driven cybersecurity SaaS web application designed to provide automated security analysis and proactive threat mitigation for business websites. As cyber threats continue to evolve, traditional security tools like OpenVAS and Nessus require manual configurations and lack real-time automation. CyberShieldX addresses these limitations by integrating AI-powered vulnerability assessment, intrusion detection, and security maintenance services. Users can analyze their websites by simply submitting a URL, after which CyberShieldX conducts an in-depth vulnerability scan using advanced security tools such as OpenVAS, Nessus, and Metasploit. The system then generates a detailed report highlighting security risks, potential exploits, and recommended fixes. Premium users receive continuous security monitoring, automatic patching, and expert assistance to fortify their digital infrastructure against emerging threats. Built on a robust cloud infrastructure using AWS, Docker, and Kubernetes, CyberShieldX ensures scalability, high availability, and efficient security enforcement. Its AI-driven approach enhances detection accuracy, minimizes false positives, and provides real-time security insights. This project will cover the system's architecture, implementation, and its advantages over existing security solutions, demonstrating how CyberShieldX revolutionizes cybersecurity by offering businesses a smarter, automated, and proactive defense mechanism against ever-evolving cyber threats.
First Review PPT gfinal gyft ftu liu yrfut goSowndarya6
CyberShieldX provides end-to-end security solutions, including vulnerability assessment, penetration testing, and real-time threat detection for business websites. It ensures that organizations can identify and mitigate security risks before exploitation.
Unlike traditional security tools, CyberShieldX integrates AI models to automate vulnerability detection, minimize false positives, and enhance threat intelligence. This reduces manual effort and improves security accuracy.
Many small and medium businesses lack dedicated cybersecurity teams. CyberShieldX provides an easy-to-use platform with AI-powered insights to assist non-experts in securing their websites.
Traditional enterprise security solutions are often expensive. CyberShieldX, as a SaaS platform, offers cost-effective security solutions with flexible pricing for businesses of all sizes.
Businesses must comply with security regulations, and failure to do so can result in fines or data breaches. CyberShieldX helps organizations meet compliance requirements efficiently.
Call For Papers - International Journal on Natural Language Computing (IJNLC)kevig
Natural Language Processing is a programmed approach to analyze text that is based on both a
set of theories and a set of technologies. This forum aims to bring together researchers who have
designed and build software that will analyze, understand, and generate languages that humans use
naturally to address computers.
May 2025: Top 10 Cited Articles in Software Engineering & Applications Intern...sebastianku31
The International Journal of Software Engineering & Applications (IJSEA) is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Software Engineering & Applications. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on understanding Modern software engineering concepts & establishing new collaborations in these areas.
The development of smart cities holds immense significance in shaping a nation's urban fabric and effectively addressing urban challenges that profoundly impact the economy. Among these challenges, road accidents pose a significant obstacle to urban progress, affecting lives, supply chain efficiency, and socioeconomic well-being. To address this issue effectively, accurate forecasting of road accidents is crucial for policy formulation and enhancing safety measures. Time series forecasting of road accidents provides invaluable insights for devising strategies, enabling swift actions in the short term to reduce accident rates, and informing well-informed road design and safety management policies for the long term, including the implementation of flyovers, and the enhancement of road quality to withstand all weather conditions. Deep Learning's exceptional pattern recognition capabilities have made it a favored approach for accident forecasting. The study comprehensively evaluates deep learning models, such as RNN, LSTM, CNN+LSTM, GRU, Transformer, and MLP, using a ten-year dataset from the esteemed Smart Road Accident Database in Hubballi-Dharwad. The findings unequivocally underscore LSTM's superiority, exhibiting lower errors in both yearly (RMSE: 0.291, MAE: 0.271, MAPE: 6.674%) and monthly (RMSE: 0.186, MAE: 0.176, MAPE: 5.850%) variations. Based on these compelling findings, the study provides strategic recommendations to urban development authorities, emphasizing comprehensive policy frameworks encompassing short-term and long-term measures to reduce accident rates alongside meticulous safety measures and infrastructure planning. By leveraging insights from deep learning models, urban development authorities can adeptly shape the urban landscape, fostering safer environments and contributing to global safety and prosperity.
4. Program design
Program Design Process has 2 phases:
Problem Solving Phase
Creates an algorithm that solves the
problem
Implementation (Coding) Phase
Translates the algorithm into a
programming language
4
Algorithm
Problem Program
5. Algorithms
An algorithm is a finite set of steps defining the
solution of a particular problem.
Need not to belong one particular language
Sequence of English statements can also be
algorithm
It is not a computer program
An algorithm can be expressed in English like
language called pseudo code, in a programming
language or in the form of flowchart.
5
6. Algorithm Vs Program
What is the difference between an algorithm and a program?
a program is an implementation of an algorithm to be run on a
specific computer and operating system.
an algorithm is more abstract – it does not deal with machine
specific details – think of it as a method to solve a problem.
• What is good algorithm?
Efficient algorithms are good, we generally measure efficiency of an
algorithm on the basis of:
1. Time: algorithm should take minimum time to execute.
2. Space: algorithm should use less memory.
6
7. Algorithm Specification
Every algorithm must satisfy the following criteria:
Input. Zero or more quantities are externally supplied.
Output. At least one quantity is produced.
Definiteness. Each instruction must be clear and
unambiguous(Unique meaning).
Finiteness. An algorithm terminates in a finite
number of steps.
Effectiveness. Every instruction must be basic enough
to be carried out than, means not so complex.
7
12. 12
Example 1
Write an algorithm that finds the
average of two numbers
Solution:
Average Of Two
Input: Two numbers
1. Add the two numbers
2. Divide the result by 2
3. Return the result by step 2 2
End
13. Group 13
Example 2
Write an algorithm to change a numeric
grade to a pass/fail grade.
Solution:
Pass/Fail Grade
Input: One number
1. if (the number is greater than or equal to 40)
then
1.1 Set the grade to “pass”
else
1.2 Set the grade to “fail”
End if
2. Return the grade
End
14. 14
Example 3
Write an algorithm for grading System
by following method.
Marks range Grade
>=80 A
>=70 & <80 B
>=60 & <70 C
>=50 & <60 D
<50 F
15. 15
Algorithm For Grade
Input: One number
1. if (the number is between 80 and 100, inclusive)
then
1.1 Set the grade to “A”
End if
2. if (the number is between 70 and 79, inclusive)
then
2.1 Set the grade to “B”
End if
Algorithm for Grading
Continues on the next slide
Solution
16. 16
3. if (the number is between 60 and 69, inclusive)
then
3.1 Set the grade to “C”
End if
4. if (the number is between 50 and 59, inclusive)
then
4.1 Set the grade to “D”
End if
5. If (the number is less than 50)
then
5.1 Set the grade to “F”
End if
6. Return the grade
End
17. Advantages Of Algorithm
It provides the core solution to a given problem. This
solution can be implemented on a computer system
using any programming language of user’s choice.
It facilitates program development by acting as a
design document or a blueprint of a given problem
solution.
It ensures easy comprehension of a problem solution
as compared to an equivalent computer program.
It eases identification and removal of logical errors in
a program.
It facilitates algorithm analysis to find out the most
efficient solution to a given problem.
17
18. Disadvantages Of
Algorithm
In large algorithms, the flow of program control becomes difficult
to track.
Algorithms lack visual representation of programming constructs
like flowcharts; thus, understanding the logic becomes relatively
difficult.
18
19. Flowchart
A graphical representation of an algorithm, often
used in the design phase of programming to work
out the logical flow of a program.
Visual way to represent the information flow
Make our logic more clear
Help during writing of program
Make testing and debugging easy
19
21. Flowchart or program
constructs
Sequence: The order of execution, this typically refers to
the order in which the code will execute. Normally code
executes line by line, so line 1 then 2 then 3 and so on.
Selection: Selection, like branching, is a method of
controlling the execution sequence, you can create large
control blocks, using if statements testing a condition, or
switch statements evaluating a variable etc to control and
change the execution of the program depending on this
environment and changing variables.
Iteration (Repetition): Iteration is typically used to refer to
collections and arrays of variables and data. Repeating set
of instruction. Counting from 1 to 10, you are iterating
over the first 10 numbers. for, while, do-while loops will be
implemented for iteration.
21
25. Example-1
Write an algorithm and draw a flowchart
that will read the two sides of a
rectangle and calculate its area.
Algorithm
Step 1: Start
Step 2: Take Width and Length as input
Step 3: Calculate Area by Width* Length
Step 4: Print Area.
Step 5: End
25
26. Example-1
Step 1: Start
Step 2: Input W,L
Step 3: A L x W
Step 4: Print A
Step 5: End
26
START
Input
W, L
A L x W
STOP
Print
A
27. Example-2
Write an Pseudo code and draw a
flowchart that will take marks of four
subjects and calculate the average.
Then if average marks are greater than
50 then print PASS otherwise print FAIL.
27
28. Example-2
28
Step 1: Start
Step 2: Input M1,M2,M3,M4
Step 3: AVG
(M1+M2+M3+M4)/4
Step 4: if (AVG <50) then
Print “FAIL”
else
Print “PASS”
endif
Step 5: End
START
Input
M1,M2,M3,M4
AVG(M1+M2+M3+M4)/4
IS
AVG<50
STOP
YN
Print
“PASS”
Print
“FAIL”
29. Example-3
Write an algorithm and draw a
flowchart to convert the length in
feet to centimeter.
29
31. Example-4
Write an algorithm and draw a flowchart
that will calculate the roots of a quadratic
equation
Hint: d = sqrt ( ), and the roots are:
x1 = (–b + d)/2a and x2 = (–b – d)/2a
2
0ax bx c
2
4b ac
31
32. Example-4
Algorithm:
Step 1: Start
Step 2: Input a, b, c
Step 3: d sqrt ( )
Step 4: x1 (–b + d) / (2 x a)
Step 5: x2 (–b – d) / (2 x a)
Step 6: Print x1, x2
Step 7: End
4b b a c
32
START
Input
a, b, c
d sqrt(b x b – 4 x a x c)
Print
x1 ,x2
STOP
x1 (–b + d) / (2 x a)
X2 (–b – d) / (2 x a)
33. Flow Chart`s Limitation
For very large program, flow chart goes
for many pages
Costly to draw flow charts for large
program
Difficult to modify
33