18CSC302J - Computer Networks UNIT 2

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18ECO124T - HUMAN ASSIST DEVICES UNIT 4 & 5 - 12M

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12M: SET 1: Write in detail about the pediatric orthosis with a diagram Pediatric orthosis: There are several respects in which a child's orthotic requirements differ from those of an adult and these may extend beyond treatment of the obvious abnormality. Accordingly, before considering specific hardware and research activities, the criteria affecting the performance of an orthosis will be discussed. A child is a particularly dynamic person in terms both of his activity and of his developing personality.  It is important that there is a full appreciation of these factors so that prescription of an orthosis can be made sympathetically and in harmony with his development Human factors: Many physical and emotional factors can affect the success of an orthosis Physical factors can be considered under the headings of deformity, growth and activity Deformity:  Frequently an orthosis is fitted to prevent the development of a deformity, particularly during periods of rapid growth For ...
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18CSC305J - Artificial Intelligence UNIT 1

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  12M: Explain the types of intelligent agents. Agent: An agent is anything is anything that can be viewed as perceiving its environment through sensors and acting upon the environment through actuators Agent Program: Agent’s behavior is mathematically described by an agent function Agent’s behavior is practically described by an agent program It is the real implementation AI designs the agent program To design an agent program, we need to understand Percepts Actions Goals Environment  Types: Simple reflex agents Model based reflex agents Goal based agents Utility based agents Simple reflex agents: Uses just condition action rules Works only if the environment is fully observable Model based reflex agents: For the world that is partially observable The agent has to keep track of an internal state that depends on the percept history Goal based agents: Current state of the environment is always not enough The goal is to achieve correctness Utility based agents: Goals alone are n...
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18CSE483T - INTELLIGENT MACHINING UNIT 4 & 5 - 12M

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12M: Explain in detail the Neural Network model in intelligent machining process. Neural network modeling: Neural networks are simple models of the way the nervous system operates The basic units are neurons, which are typically organized into layers Neural network: A neural network is a simplified model of the way the human brain processes information It works by stimulating a large number of interconnected processing units  The processing units are arranged in layers There are typically three parts in a neural network: An input layer, with units representing the input fields One or more hidden layers An output layer, with a unit or units representing the target fields The units are connected with varying connection strengths or weights Input data are presented to the first layer and values are propagated from each neuron to every neuron in the next layer Eventually, a result is delivered from the output layer The network learns by examining individual records, generating a predic...
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