Money Manager Presentation-2.pptx
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This document discusses constraint satisfaction problems in artificial intelligence. It defines constraint satisfaction as a technique where a problem is solved when its variable values satisfy certain constraints or rules. Constraint satisfaction problems are composed of variables, domains that specify possible values for each variable, and constraints that define acceptable relationships between values. Common problems that can be solved using constraint satisfaction include cryptography problems, map coloring problems, the n-queen problem, and crossword puzzles. The document then provides an example of solving a cryptography problem using constraint satisfaction by systematically assigning values to letters to satisfy the constraints imposed by column-wise addition.
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Advanced control scheme of doubly fed induction generator for wind turbine us...
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.
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
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- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
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- 1. Constraint Satisfaction Problem PREPARED BY: 20CE108 – UDAY PATEL Guided By :- Prof. Dhaval Bhoi
- 2. Table Of Content 1. What is Artificial Intelligence 2. Advantages and Disadvantages of AI 3. Applications of Artificial Intelligence 4. Constraint satisfaction problem in AI 5. Solving Constraint satisfaction problem 6. Problems solved with constraint satisfaction problem 7. Cryptanalysis Problem 8. Solution
- 3. What is Artificial Intelligence Artificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
- 4. Advantages of AI It reduces human error It never sleeps, so it’s available 24x7 It never gets bored, so it easily handles repetitive tasks It’s fast
- 5. Disadvantages of AI It’s costly to implement It can’t duplicate human creativity It will definitely replace some jobs, leading to unemployment People can become overly reliant on it
- 6. Application of AI Cyber Security Using machine learning algorithms and ample sample data, AI can be used to detect anomalies and adapt and respond to threats. Banking Fraud Detection From extensive data consisting of fraudulent and non-fraudulent transactions, the AI learns to predict if a new transaction is fraudulent or not.
- 7. Cont… Virtual Assistants :Siri, Cortana, Alexa, and Google now use voice recognition to follow the user's commands. They collect information, interpret what is being asked, and supply the answer via fetched data. Online Customer Support :AI is now automating most of the online customer support and voice messaging systems.
- 8. Constraint Satisfaction Problems in AI •Constraint satisfaction is a technique where a problem is solved when its values satisfy certain constraints or rules of the problem. •Such type of technique leads to a deeper understanding of the problem structure as well as its complexity.
- 9. Cont… Constraint satisfaction depends on three components, namely: •X: It is a set of variables. •D: It is a set of domains where the variables reside. There is a specific domain for each variable. •C: It is a set of constraints which are followed by the set of variables.
- 10. Solving Constraint Satisfaction problem Solving Constraint Satisfaction Problems The requirements to solve a constraint satisfaction problem (CSP) is: •A state-space •The notion of the solution. A state in state-space is defined by assigning values to some or all variables such as {X1=v1, X2=v2, and so on…}.
- 11. Problems that solved with constraint satisfaction •A cryptography problem •A map coloring problem •The n-Queen problem •A crossword puzzle
- 12. Crpyptanalysis Problem 5 4 3 2 1 S E N D + M O R E c3 c2 c1 ------------- M O N E Y where c1,c2,c3 are the carry forward numbers upon addition.
- 13. Steps to get solution 1.From Column 5, M=1, since it is only carry-over possible from sum of 2 single digit number in column 4. 2.To produce a carry from column 4 to column 5 ‘S + M’ is at least 9 so ‘S=8or9’ so ‘S+M=9or10’ & so ‘O=0or1’ . But ‘M=1’, so ‘0=0’. 3.If there is carry from column 3 to 4 then ‘E=9’ & so ‘N=0’. But ‘O=0’ so there is no carry & ‘S=9’ & ‘c3=0’. 4.If there is no carry from column 2 to 3 then ‘E=N’ which is impossible, therefore there is carry & ‘N=E+1’ & ‘c2=1’. 5.If there is carry from column 1 to 2 then ‘N+R=E mod 10’ & ‘N=E+1’ so ‘E+1+R=E mod 10’, so ‘R=9’ but ‘S=9’, so there must be carry from column 1 to 2. Therefore ‘c1=1’ & ‘R=8’.
- 14. Solution 9 5 6 7 + 1 0 8 5 ---------- 1 0 6 5 2
- 15. Values for each letter S=9 E=5 N=6 D=7 M=1 O=0 R=8 Y=2
- 17. THANK YOU