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Poplar Optimization Algorithm || Step-By-Step || ~xRay Pixy

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The Poplar Optimization Algorithm (POA) is a nature-inspired optimization method based on how poplar trees reproduce. It uses sexual propagation (seed dispersal by wind) for exploration and asexual reproduction (cutting and regrowth) for exploitation. Mutation and chaos factors help maintain diversity and prevent premature convergence, making POA efficient for solving complex optimization problems. Learn the Poplar Optimization Algorithm Step-By-Step using Examples. Video Chapters: Poplar Optimization Algorithm (POA) 00:00 Introduction 02:12 POA Applications 03:32 POA Steps 05:50 Execute Algorithm 1 13:45 Execute Algorithm 2 16:38 Execute Algorithm 3 18:15 Conclusion Main Points of the Poplar Optimization Algorithm (POA) Nature-Inspired Algorithm ā€“ Based on the reproductive mechanisms of poplar trees. Two Key Processes : Sexual Propagation (Seed Dispersal) ā€“ Uses wind to spread seeds, allowing broad exploration. Asexual Reproduction (Cuttings) ā€“ Strong branches grow ...
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Information Security Law and legal Framework

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Information Security means Data Protection.

Information Security Laws deal with Creating, Storing, and Acquiring Information.

Q. What is the Indian IT Act?

A. It is an Act of the Indian Parliament. This is Law in India that deal with Cyber Crimes and Electronic Commerce. 

Cyber Crime: [IT Act 200] Crime that involves computers and Networks. Cyber Crime involves crimes related to Computers. For Example- Theft and Hacking.  

Privacy Concerns Involved in Cyber Crime:
 - Data/Information Privacy
 - Financial Theft/Frauds Related Crimes
 - Online Harassment
- Online transaction Frauds   

Q. What is a Patent Law?

A. It is the branch of intellectual property law. Patent law deals with new scientific inventions. Patent Law in India starts in 1911. 

Q. What is a Copyright Law?

A. Law for copyright protection. Copy right law protects the original work of the creator. This law provides protection to sound recording, musical work, artwork, dramatic and film work. 

Q. What is Privacy on the Internet?

A. It deals with Personal Information on the Internet [i.e., Online Privacy]. Users display, provide and store information over the internet. Information Privacy issues on the Internet are Online Tracking, Online Data/Information Theft, Online Payments, Disclosure of Information, Unauthorized access to User Accounts, and Identity Theft. 

Q. What is Ethical Hacking? 

A. It is Structured Hacking. Ethical Hacking is performed to show weakness in the system. 
White Hat Hackers are known as Ethical Hackers. Most of the White Hat Hackers are Government employees that work for security. White Hat Hackers check vulnerabilities that exist in the system/applications. 

Q. What are Cryptography Tools and Techniques? 

A. User Authentication, Integrity, Confidentiality, and non-repudiation. 

Q. What is Privacy Consideration in Web Services? 

A. Confidentiality, Network Security and Authentication. 

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PARTICLE SWARM OPTIMIZATION ALGORITHM NUMERICAL EXAMPLE

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PSO (Particle Swarm Optimization) Example Step-by-Step

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 Particle swarm optimization (PSO) What is meant by PSO? PSO is a computational method that Optimizes a problem. It is a Population-based stochastic search algorithm. PSO is inspired by the Social Behavior of Birds flocking. n Particle Swarm Optimization the solution of the problem is represented using Particles. [Flocking birds are replaced with particles for algorithm simplicity]. Objective Function is used for the performance evaluation for each particle / agent in the current population. PSO solved problems by having a Population (called Swarms) of Candidate Solutions (Particles). Local and global optimal solutions are used to update particle position in each iteration. How PSO will optimize? By Improving a Candidate Solution. How PSO Solve Problems? PSO solved problems by having a Population (called Swarms) of Candidate Solutions (Particles). The population of Candidate Solutions (i.e., Particles). What is Search Space in PSO? It is the range in which the algorithm computes th...
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PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

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Particle Swarm Optimization Implementation in Python Video Chapters: 00:00 Introduction 02:01 Code 05:55 Position Initialization 08:06 PSO Main Loop 08:42 Velocity Calculation 10:02 Position Update 10:36 Fitness Evaluation 13:21 Objective Function 17:44 Result 19:00 Conclusion .....................................................SOURCE CODE......................................................................... import random import numpy as np from tkinter import messagebox #Define Class Particles class Particle: def __init__ (self,position): self.position=position self.velocity=np.zeros_like(position) self.best_position=position self.best_fitness=float('inf') def PSO(ObjF,Pop_Size,D,MaxT): swarm_best_position=None swarm_best_fitness=float('inf') particles=[] #Posotion Initialization position=np.random.uniform(-0.5,0.5,D) particle=Particle(position) particles.append(particle) #Fit...
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how is the LBP |Local Binary Pattern| values calculated? Step-by-Step with Example

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Whale Optimization Algorithm Code Implementation || WOA CODE || ~xRay Pixy

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Grey Wolf Optimization Algorithm Numerical Example

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