ECE/CS 472/572 – Computer Architecture Instructor: Prof. Lizhong Chen Lab Assignment Part I. Instructions 1. Basic info a. Due: Wednesday, 6/5 at 8:30am, on paper. b. Up to 2 students per team are allowed. c. If you didn’t or couldn’t redeemed Google Cloud credits, please team up with a student who redeemed successfully, or use […]
Assignment V Exercise 1 Write a matlab-function which makes a page ranking of webpages. To determine which websites are important google uses roughly the following algorithm. First a connection matrix is made, where Aij = 1 if page j contains a link to page i; otherwise Aij = 0. Next, a Markov process is considered,
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Advanced Mobile Robotics: Project 1 Jizhong Xiao March 2019 1 Visual Inertial Fusion Based on Extended Kalman Filter 1.1 Overview Visual odometry (VO) plays a significant role in various robotic applications, including autonomous driving vehicle, indoor service robots, and unmanned aerial vehicles. VO is designed to provide state estimation for robot state con- trol in
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Adaptive Intelligence Lecturer: Professor Eleni Vasilaki Assignment April 4, 2019 1. Reinforcement Learning A chessboard 4×4 is automatically generated and three pieces, 1x King (1), 1x Queen (2) and 1x Opponent’s King (3), are placed in a random location of the board. On the initial positions the pieces are not causing any threats. Assuming the
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FIT1045 Algorithms and programming in Python, S1-2019 Assignment 2 (value 18%). Due: Friday 17th May, 2019, 11:55 pm Ob jectives The objectives of this assignment are: • To demonstrate the ability to implement algorithms using basic data structures and operations on them. • To gain experience in designing an algorithm for a given problem description
FIT1045 Algorithms and programming in Python, S1-2019 Assignment 2 (value 18%). Due: Friday 17th May, 2019, 11:55 pm Ob jectives The objectives of this assignment are: • To demonstrate the ability to implement algorithms using basic data structures and operations on them. • To gain experience in designing an algorithm for a given problem description
实验二 静态图像分割 一、实验目的 1、使学生通过实验体会一些主要的分割算法对图像处理的效果，以及各种因素对分割效果的 影响; 2、使用 Matlab 软件进行图像的分割; 3、能够自行评价各主要算子在有无干扰环境下的分割性能; 4、能够掌握分割条件(算法中各种参数等)的选择; 5、完成规定图像的处理并要求正确评价处理结果，能够在算法原理层面作出合理的解释。 二、实验内容 1、将图1-图5水表图像中的指示指针从背景中分离(指针部分显示为白色，其余部分显示为 黑色);(注:所有图采用统一代码) 图1 图2 图3图4图5 2、利用二值形态学对分割后的二值图像进行处理以消除分割噪声; 3、根据分割结果给出水表读数(各位置指针所对应的单位可通过人为先验确定)。 三、关键方法(此处所提及的方法只是一个提示，并不需要全部用，更不是依次用，也不是 唯一的方法) 1. 阈值分割法(也可以用其它分割算法) 基本原理是:通过设定不同的特征阈值，把图像象素点分为若干类。 常用的特征包括:直接来自原始图像的灰度或彩色特征;由原始灰度或彩色值变换得到 的特征。 设待分割图像为 f (x, y)(灰度图像或某颜色通道图像)，按照一定的准则 f (x, y)中找到 阈值 T，将图像分割为两个部分，分割后的图像为:若f(x,y)>T，则g(x,y)=0(黑色)， 若f(x,y)≤T，则g(x,y)=1 (白)，即为我们通常所说的图像二值化。 Matlab 关键代码(示例)为: I=imread(‘xl-130-16.tiff’); f=rgb2gray(I); % 选取灰度通道，也可尝试采用各彩色通道 g=zeros(size(f)); id=f t; cc =zeroes(fr_size); cc(id) = 1; figure(1),subplot(2,2,1),imshow(m) subplot(2,2,2),imshow(n) % 可将1改为其它值，观察结果的不同
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MATH 189 Homework Assignment 5 Due May 10 Problem 1 Let¡¯s revisit the Fisher¡¯s iris dataset (iris.CSV) and consider it as a clustering problem. To mimic an unsupervised learning problem, the true labels of species should be discarded in your learning process, and will only be used when validating your clustering results. 1. Apply Agglomerative
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问题 1-常微分方程解的数值方法 (1) 解决 RC(电阻-电容)电路问题:电容器两端电压 y 的公式为 𝑅𝐶 𝑑𝑦 + 𝑦 = 𝑣(𝑡) 𝑑𝑡 其中 v(t)是电路的施加电压。假设 RC = 0.2s，并且电容器电压 y 最开始为 2V( y(0)=2V )。假设施加电压𝑣(𝑡) = 10[2 − 𝑒12sin (5𝜋𝑡)] V。绘制电压y(t) 当0 ≤ t ≤ 5s。 A.编写一个函数文件，使用龙格-库塔法给出一个通用的常微分方程的求解器 function [ t,y ] = marunge4s( dyfun,tspan,y0,h ) 其中“marunge4s”是函数名称; “dyfun”是要解决的常微分方程的名称，它是 通过使用函数来定义的; “tspan”是要模拟的时间段; y0 是求解变量的初始条 件，“h”是时间间隔大小。 B. 通过调用创建的函数来求解方程𝑅𝐶
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EEE116 Experimental, Computer Skills and Sustainability: MATLAB Group Assignment Due on Monday, 13th May, 2019, 18:00 1 / 16 Assignment Regulations ⚫ This is a group assignment. Each group MUST submit one soft copy of the group report via the ICE before the due date. ⚫ A coversheet can be created in your own way,