Title: Human Action Recognition for Surveillance Using Deep Learning Techniques Basic Idea: Human Action Recognition (HAR)‚ an emerging domain of computer vision used to recognize the behavioural action of human. It has many applications like human machine interaction‚ video retrieval and surveillance. It is a very hot topic in machine learning‚ deep learning and computer vision. So In this domain I have decided to work on Surveillance‚ the basic idea of this topic is to recognize abnormal of human
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EE3114 Systems and Control Semester B 03/04 Formal Report Experiment 1 - System Dynamics and Behavior Electronic Engineering Electronic and Communication Engineering EE3114 Systems and Control Experiement 1 Title: System Dynamics and Behavior Objectives: Dynamic systems like dc-servomotors‚ financial systems‚ logistic models‚ internet systems and eco-systems can be described by a set of coupled differential equations. Based on this model‚ one can study
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IEEE TRANSACTIONS ON SMART GRID‚ VOL. 2‚ NO. 1‚ MARCH 2011 173 A Control Framework for the Smart Grid for Voltage Support Using Agent-Based Technologies Angel A. Aquino-Lugo‚ Member‚ IEEE‚ Ray Klump‚ Member‚ IEEE‚ and Thomas J. Overbye‚ Fellow‚ IEEE Abstract—The introduction of remotely controlled network devices is transforming the way the power system is operated and studied. The ability to provide real and reactive power support can be achieved at the end-user level. In this paper
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Greavu 1 My UROP Experience: Diagnostics and Hardware Upgrades at the Low Background Counting Facility John Greavu Sponsor: Professor Priscilla Cushman June 4‚ 2014 My project this past spring involved the Soudan Underground Laboratory’s Low Background Counting Facility. The Low Background Counting Facility‚ or LBCF‚ is housed next to the Super Cryogenic Dark Matter Search (SuperCDMS) half-a-mile underground in an old northern Minnesota iron mine which has now been converted into a fully-equipped
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ANFIS: Adaptive Neuro-Fuzzy Inference Systems Adriano Cruz Mestrado NCE‚ IM‚ UFRJ Logica Nebulosa – p. 1/3 Summary • • • • • Introduction ANFIS Architecture Hybrid Learning Algorithm ANFIS as a Universal Approximatior Simulation Examples Logica Nebulosa – p. 2/3 Introduction • • • • ANFIS: Artificial Neuro-Fuzzy Inference Systems ANFIS are a class of adaptive networks that are funcionally equivalent to fuzzy inference systems. ANFIS represent Sugeno e Tsukamoto fuzzy models
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to eat with the family. These advertisements showed Coca Cola as a symbol of bringing families together. Subcultures: Coca Cola leveraged the classic North Indian custom of asking guests “Thanda Ya Garam” by equating thanda as Coca Cola – “Thanda matlab Coca Cola”. Gradually‚ Coca Cola marketed itself across all the states and subcultures in India through a marketing campaign involving Aamir Khan. These ads showed Aamir Khan enjoying Coke in a series of regionally inspired characters ranging
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resources which are distributed across the network. These computational resources are available on the UNIX platform. There are many different interfaces incorporated into the NetSolve software. NetSolve provides remote access to programs such as MATLAB and Mathematica and access to programming languages such as C and Fortran. NetSolve is based on the client-agent-server model. This is
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the solution for the following differential equation d2y/dx2 +y = x subject to the boundary conditions y(0)=0 ; (dy/dx)x=1 =2 .Take 3 meshes . Obtain the exact solution and compare approximate value to exact value at x= 0.5 . Write a programme in MATLAB to obtain solution for the following differential equation in a square region .Divide the region into ‘n’ no of meshes . ˅2 Y = 0 The boundary values are of the following Left side -
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ECE 4784/6784‚ Wireless Communications‚ Assignment 1 1. (15) A half-wave dipole is situated at the top of a cellular tower‚ oriented vertically on the tower. The current into the dipole is a sinusoidal current at frequency 870 MHz‚ with peak value I = 0.1 ampere. Consider a mobile receiver at a distance of d kilometers along the horizon. Remember the dipole pattern gives field strength E(d‚ θ‚ φ) = 60I cos( π cos(θ)) 2 aθ v/m d sin(θ) (1) a. Assume free-space propagation laws.
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a cart by use of LQR/LQG control methods. Our solution implements an LQG controller with comparison to a simple LQR controller. The controller found by means of a more analytical approach will be tested with implementation of the controller in the MATLAB/Simulink environment. Inverted Pendulum:
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