TEMP 018- Artificial Intelligence for beginners DIGITAL ASSIGNMENT – 2 CASE STUDY 1: Underwater Wireless Sensor Network (UWSN) could be installed in both shallow and deep water of the harbor for detecting various types of harbor activities. Ship movements namely heave, sway, surge, yaw, pitch and roll, could be detected and classified using pressure, position and underwater sensors. Such information can help in tracking ship motions, movements, loading and unloading activities. Consider the diagram below as a Bayesian belief network, find out the various possibilities. Solve the following 1. Find the probability of the energy level of nodes under transmit 2. Suppose the ship moves and if the angle of displacement is on the x-axes and ship motion is sway, what will be the probability attained? 3. What will be the probability calculated for the ship motion “Heave”? 4. Using the pressure, position and underwater sensors, what will be the probability if weight of the ship = average? 5. What will be the P(E= sleep, C=heavy, D= y-axes) 6. Find the probability of (A2,B2|X3) 7. Find the probability of angle of displacement on z axes 8. If the weight of the ship is calculated as light and ship motion as roll, then what will be the probability attained in such conditions? 9. What is the probability of (D= x-axes, X=yaw)? 10. What is the value of P(X4|A2,B2)? CASE STUDY 2: Fuzzy Logic, in the case of a washing machine, employs sensors to judge varying conditions inside the machine and adjusts its operation accordingly. So essentially, there are sensors in the washing machine that will control the entire washing process, performing operations according to varying water intake, wash time, rinse performance, and spin speed. Generally, the following are usually the variables taken into consideration: • • • • • • • The weight of the load The type of fabric The amount and temperature of the water The amount of detergent The dirt in the water or rinse needs The type and length of agitation needed The speed and duration of the spin cycle The sample diagram shows how the washing time varies depending on the amount of detergent. Solve the following questions: 1. Apply fuzzification and defuzzification method to find the crisp output of the washing time if the amount of detergent used is 55 grams 2. Apply all the defuzzification methods and find the crisp output of washing time. 3. Similar to the diagram given, draw the graph for a. Type of fabric and the washing time b. The amount and temperature of the water and washing time c. The speed and duration of the spin cycle and the dryness of clothes CASE STUDY 3: A person comes to a doctor with high temperature greater than 101degree Fahrenheit, which means he have fever. The doctor examines him and asks few questions. Doctor: Are you having dry cough and diarrhea? Patient: Yes doctor Doctor: Due to dry cough you should be having difficulty in breathing? Patient: Yes doctor Doctor: Due to dry cough and sore throat ! Patient: Yes doctor Doctor: Are you having tiredness due to diarrhea? Patient: Yes doctor As the matter of facts, the doctor knows the major symptoms of COVID are 1. Fever 2. Dry cough and sore throat Can the doctor say that the patient is COVID? Formulate the rules and apply forward and backward chaining. NOTE: Quiz questions will have similar questions from same case studies but not the exact questions from this document. So have step wise details of the sums ready when you attend the DA quiz 2.
