A produce dealer has a warehouse that stores a variety of fruits. He wants a machine capableof sorting the fruit according to the type. There is a conveyor belt on which the fruit is loaded. It isthen passed through a set of sensors which measure 3 properties of the fruit: shape, texture, andweight. The sensor system is somehow rather primitive:• Shape sensor :-1 if the fruit is round and 1 if it is more elliptical• Texture sensor :-1 if the surface is smooth, 1 if it is rough• Weight sensor :-1 if the fruit is > 500g, 1 if is < 500gThe sensor output will then be input to a Neural Networks based classifying system. As an AlEngineer you are supposed to design (draw the architecture and determine the optimal weight Wand bias b) a simple neural network (could be a single perceptron) that can be used to recognize thefruit so that it can be directed to the correct storage bin. As a startup case, the simple network willonly be used for two type of fruit i.e. banana and apple. Employ initial weight W = (0.5 -1.0 -0.5)and b = 0.5. Datasets from the sensor are as follows: banana = (-1, 1, -1); apple = (1, 1, -1).%3D

Single perceptron Neural network In the given problem, there is 3 input sensors . Shape, texture and…

A produce dealer has a warehouse that stores a variety of fruits. He wants a machine capa of sorting the fruit according to the type. There is a conveyor belt on which the fruit is loaded. then passed through a set of sensors which measure 3 properties of the fruit: shape, texture, weight. The sensor system is somehow rather primitive: Shape sensor : -1 if the fruit is round and 1 if it is more elliptical • Texture sensor :-1 if the surface is smooth, 1 if it is rough Weight sensor :-1 if the fruit is > 500g, 1 if is < 500g

A produce dealer has a warehouse that stores a variety of fruits. He wants a machine capa of sorting the fruit according to the type. There is a conveyor belt on which the fruit is loaded. then passed through a set of sensors which measure 3 properties of the fruit: shape, texture, weight. The sensor system is somehow rather primitive: Shape sensor : -1 if the fruit is round and 1 if it is more elliptical • Texture sensor :-1 if the surface is smooth, 1 if it is rough Weight sensor :-1 if the fruit is > 500g, 1 if is < 500g

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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A produce dealer has a warehouse that stores a variety of fruits. He wants a machine capable of sorting the fruit according to the type. There is a conveyor belt on which the fruit is loaded. It is then passed through a set of sensors which measure 3 properties of the fruit: shape, texture, and weight. The sensor system is somehow rather primitive: • Shape sensor : -1 if the fruit is round and 1 if it is more elliptical • Texture sensor : -1 if the surface is smooth, 1 if it is rough • Weight sensor : -1 if the fruit is > 500g, 1 if is < 500g The sensor output will then be input to a Neural Networks based classifying system. As an AI Engineer you are supposed to design (draw the architecture and determine the optimal weight W and bias b) a simple neural network (could be a single perceptron) that can be used to recognize the fruit so that it can be dirccted to the correct storage bin. As a startup case, the simple network will only be used for two types of fruit i.e. banana and apple.…
A produce dealer has a warehouse that stores a variety of fruits. He wants a machine capable of sorting the fruit according to the type. There is a conveyor belt on which the fruit is loaded. It is then passed through a set of sensors which measure 3 properties of the fruit: shape, texture, and weight. The sensor system is somehow rather primitive: Shape sensor: -1 if the fruit is round and 1 if it is more elliptical Texture sensor: -1 if the surface is smooth, 1 if it is rough Weight sensor: -1 if the fruit is > 500g, 1 if is < 500g The sensor output will then be input to a Neural Networks based classifying system. As an AI Engineer you are supposed to design (draw the architecture and determine the optimal weight Wand bias b) a simple neural network (could be a single perceptron) that can be used to recognize the fruit so that it can be directed to the correct storage bin. As a startup case, the simple network will only be used for two type of fruit i.e. banana and apple.…
On an island, a group of people are living until a visitor arrives with an odd directive: everyone with blue eyes must leave the island as quickly as possible. Every evening, a flight will depart at 8:00. Everyone can see the colour of everyone else's eyes, but they are blind to their own (nor is anyone allowed to tell them). They also do not know the number of persons who have blue eyes, but they do know that at least one person has them. How long will it take the folks with blue eyes to leave?
A group of individuals are living on an island when a visitor arrives with an unusual order: all blue-eyed people must leave the island immediately. Every evening at 8:00 p.m., a flight will depart. Everyone can see everyone else's eye colour, but no one knows their own (nor is anyone allowed to tell them). Furthermore, they have no idea how many people have blue eyes, but they do know that at least one person has. How long will it take for the blue-eyed individuals to leave?
Three prisoners have been sentenced to long terms in prison, but due to over crowed conditions, one prisoner must be released. The warden devises a scheme to determine which prisoner is to be released. He tells the prisoners that he will blindfold them and then paint a red dot or blue dot on each forehead. After he paints the dots, he will remove the blindfolds, and a prisoner should raise his hand if he sees at least one red dot on the other two prisoners. The first prisoner to identify the color of the dot on his own forehead will be release. Of course, the prisoners agree to this. (What do they have to lose?) The warden blindfolds the prisoners, as promised, and then paints a red dot on the foreheads of all three prisoners. He removes the blindfolds and, since each prisoner sees a red dot (in fact two red dots), each prisoner raises his hand. Some time passes when one of the prisoners exclaims, "I know what color my dot is! It's red!" This prisoner is then released. Your problem…
When purifying drinking water you can use a so-called membrane filtration. In an experiment one wishes to examine the relationship between the drop across a membrane and the flux (flow per area) through the membrane. We observe the following 10 related values of pressure (x) and flux (y): pressure 2 3 4 5 6 7 8 9. 10 Pressure (x) 1.02 2.08 2.89 4.01 5.32 5.83 7.26 7.96 9.11 9.99 Flux (y) 1.15 0.85 1.56 1.72 4.32 5.07 5.00 5.31 6.17 7.04 Copy this into R to avoid typing in the data: D <- data.frame( pressure=c(1.02,2.08,2.89,4.01,5.32,5.83,7.26,7.96,9.11,9.99), flux=c(1.15,0.85,1.56,1.72,4.32,5.07,5.00,5.31,6.17,7.04)
Consider a thermostat with only one temperature threshold. In the initial state, if the temperature is less than or equal to 20 degrees Celsius, it turns the heater on and leaves it on for at least 30 seconds. After that, if the temperature is greater than 20 degrees, it turns the heater off and leaves it off for at least 2 minutes. It turns it on again only if the temperature is less than or equal to 20 degrees. Design an FSM that behaves as described, assuming it reacts exactly once every 30 seconds
Abstract: the main purpose of this experiment is build real time system using PPI 8255 to control devices connected to. Problem description: assume that there are two devices are connected to port A and two sensors are connected to port B of PPI 8255. They work according to the following table Sensors (S1S2) Devices (DID2) 00 01 01 10 10 11 11 00 Write a program to control these two devices according to the values of sensors.
Question Harry has a big wall clock, that got hit while he was playing. Now, the minute hand doesn't rotate by the angle 2t/3600 each second, but now it moves according to different angle x. You can assume that coordinates of the centre of the clock are (0, 0) and the length of the minute hand is I. One endpoint of the minute hand is always located at the clock centre; the other endpoint is initially located at the point (0, 1). One second later, Harry observes that this endpoint is at distance d above the x-axis, i.e., the y-coordinate of this endpoint is equal to d. Harry is curious about where the minute hand will be (specifically, its y-coordinate) after t seconds. Because t can be very large, Harry can't wait for that moment. Please help him to write a python code that prints a single line containing the output. Input: 422 Output 4
vvvHarry has a big wall clock, that got hit while he was playing. Now, the minute hand doesn't rotate by the angle 2π/3600 each second, but now it moves according to different angle x. You can assume that coordinates of the centre of the clock are (0, 0) and the length of the minute hand is l. One endpoint of the minute hand is always located at the clock centre; the other endpoint is initially located at the point (0, l). One second later, Harry observes that this endpoint is at distance d above the x-axis, i.e., the y-coordinate of this endpoint is equal to d. Harry is curious about where the minute hand will be (specifically, its y-coordinate) after t seconds. Because t can be very large, Harry can't wait for that moment. Please help him to write a python code that prints a single line containing the output.Input: 4 2 2Output4Harry has a big wall clock, that got hit while he was playing. Now, the minute hand doesn't rotate by the angle 2π/3600 each second, but now it moves according…
A signal has a bandwidth of 30 Hz. The highest frequency is 80 Hz. What is the lowest frequency?Draw the spectrum if the signal contains all integral frequencies of the same amplitude?
a) Explain on Simulated Annealing algorithm behaves at very high temperatures, and how it behaves at very low temperatures. (b) Imagine the implementation of Simulated Annealing algorithm in real life. Let's say, you have a caretaker at your home. Your home has a garden and it has a fountain with a network of pipes that contains 150 faucets. You informed your caretaker that you are going for short holiday to Langkawi for 3 days and when you return you would like the fountain to spray as high as possible. Your caretaker knows that it is impossible to check all faucets within 3 days to obtain an optimal setting. You can use Simulated Annealing algorithm to maximize the height of the fountain, also can assume whether a faucet can be ON or OFF and measuring the water height. Adding to that, you can make any other assumptions required for this scenario, explain clearly using Simulated Annealing algorithm.