zsy2053

Android-mobile-App-development

Recent Mobile Devices have created a revolution in the use of computers in a vast array of new areas including psychology, medicine, global health, music, banking, cooking, exploring, travel, shopping, and games. We believe that we have just scratched the surface of what is possible, and so the purpose of this course is to encourage creativity in the creation of new applications of mobile devices.This is a project-based course in which the goal is to produce a working app by the end of course. Graduate students from all disciplines are encouraged to take this course for credit. Projects will be done in groups of 2 or 3. Students with programming skills will be matched with those from non-programming backgrounds to do projects in the latter students’ disciplines. There will be four kinds of lectures: On the capabilities of modern mobile devices at both a technical and lay level for non-specialists. Case studies of innovative applications, linking to methods of innovating. Mobile device programming basics Project Proposals and Presentations Graduate students with programming-oriented backgrounds will be graded based on the technical quality of the project, and on their interaction with non-programming project partner(s). Students working on the non-programming portion of the project will be graded, in part, from a faculty member from their own department, and on their ability to engage with their programming partner(s). Grading will be on a few basic programming assignments, project proposals, and final project report and presentation. Non-technical students will do some basic programming. The course will support the use of Google Android-based platforms, but those who have access to other platforms (such as Apple iPhone or RIM Blackberry or Nokia Maemo) are welcome to use those.

api

BIXI

GooglePeopleAPI

GPU_Course-assignment

In total, there are 3 assignments for this course. The first assignment is writing a CUDA program containing a kernel “arradd”, that adds a number X to all elements of a one-dimensional array A. The elements of A and X should be single precision floating-point numbers (float). The elements of A should be initialized so that A[i] = i / 3.0f; Have your program vary the number of elements in A from 1 Million to MIN(maximum number that can be supported by single invocation of a GPU kernel, 256 Million) in power of two steps, i.e., 1M, 2M, 4M, 8M, 16M, etc. For every different array size, have your program print three time measurements: the time required to copy A from the CPU to the GPU, the time taken by the kernel, and the time required to copy the data from the GPU to the CPU. Use the event timer calls to measure these intervals. The second assignment is writing a CUDA program that finds the maximum or the minimum among the elements of an array of N integers, and try to optimize the program for speed as much as possible. The third assignment is writing a filter for a BMP image. The image will be provided as a two dimensional array of bytes. Each pixel is represented by three consecutive bytes for three color channels (Red, Green, Blue), each with a value from 0 to 255. To get the blur effect the value of each output pixel will be determined by the corresponding input pixel value plus all neighboring pixel values. The neighboring pixels are the ones that locate within a fixed RADIUS of the target pixel. For example, if we want to calculate the output value for a pixel when RADIUS is 2, we need a 5x5 block of pixels of the image with the target pixel in center. Following shows a sample 5x5 block of pixels that are required to compute the final value for the center pixel (pixel with values [46,47,48]). Note that representing a pixel by "[x,y,z]" means that the pixel has a value of x, y, and z for its red, green, and blue channels, respectively.

GPU_Final-project

Human-iris-detection

Using ASMs to detect human iris. Active shape models (ASMs) are statistical models of the shape of objects which iteratively deform to fit to an example of the object in a new image, developed by Tim Cootes and Chris Taylor in 1995.The shapes are constrained by the PDM (point distribution model) Statistical Shape Model to vary only in ways seen in a training set of labelled examples. The shape of an object is represented by a set of points (controlled by the shape model). The ASM algorithm aims to match the model to a new image.

Mobile-Perimeter

Programming-Massively-Parallel-Multiprocessors-and-Heterogeneous-Systems

Simple-GPU-Project

zsy2053/Android-mobile-App-development

Recent Mobile Devices have created a revolution in the use of computers in a vast array of new areas including psychology, medicine, global health, music, banking, cooking, exploring, travel, shopping, and games. We believe that we have just scratched the surface of what is possible, and so the purpose of this course is to encourage creativity in the creation of new applications of mobile devices.This is a project-based course in which the goal is to produce a working app by the end of course. Graduate students from all disciplines are encouraged to take this course for credit. Projects will be done in groups of 2 or 3. Students with programming skills will be matched with those from non-programming backgrounds to do projects in the latter students’ disciplines. There will be four kinds of lectures: On the capabilities of modern mobile devices at both a technical and lay level for non-specialists. Case studies of innovative applications, linking to methods of innovating. Mobile device programming basics Project Proposals and Presentations Graduate students with programming-oriented backgrounds will be graded based on the technical quality of the project, and on their interaction with non-programming project partner(s). Students working on the non-programming portion of the project will be graded, in part, from a faculty member from their own department, and on their ability to engage with their programming partner(s). Grading will be on a few basic programming assignments, project proposals, and final project report and presentation. Non-technical students will do some basic programming. The course will support the use of Google Android-based platforms, but those who have access to other platforms (such as Apple iPhone or RIM Blackberry or Nokia Maemo) are welcome to use those.

zsy2053/GooglePeopleAPI

zsy2053/GPU_Course-assignment

In total, there are 3 assignments for this course. The first assignment is writing a CUDA program containing a kernel “arradd”, that adds a number X to all elements of a one-dimensional array A. The elements of A and X should be single precision floating-point numbers (float). The elements of A should be initialized so that A[i] = i / 3.0f; Have your program vary the number of elements in A from 1 Million to MIN(maximum number that can be supported by single invocation of a GPU kernel, 256 Million) in power of two steps, i.e., 1M, 2M, 4M, 8M, 16M, etc. For every different array size, have your program print three time measurements: the time required to copy A from the CPU to the GPU, the time taken by the kernel, and the time required to copy the data from the GPU to the CPU. Use the event timer calls to measure these intervals. The second assignment is writing a CUDA program that finds the maximum or the minimum among the elements of an array of N integers, and try to optimize the program for speed as much as possible. The third assignment is writing a filter for a BMP image. The image will be provided as a two dimensional array of bytes. Each pixel is represented by three consecutive bytes for three color channels (Red, Green, Blue), each with a value from 0 to 255. To get the blur effect the value of each output pixel will be determined by the corresponding input pixel value plus all neighboring pixel values. The neighboring pixels are the ones that locate within a fixed RADIUS of the target pixel. For example, if we want to calculate the output value for a pixel when RADIUS is 2, we need a 5x5 block of pixels of the image with the target pixel in center. Following shows a sample 5x5 block of pixels that are required to compute the final value for the center pixel (pixel with values [46,47,48]). Note that representing a pixel by "[x,y,z]" means that the pixel has a value of x, y, and z for its red, green, and blue channels, respectively.

zsy2053/GPU_Final-project

zsy2053/api

zsy2053/C-practices

zsy2053/ChatAnywhere

zsy2053/CSC-207

Java design course, teaching you the data structure in java and the algorithm with Java

zsy2053/frontend

zsy2053/hello-go-ecs-terraform

A "Hello World" in Golang deployed to AWS ECS (Docker) using Terraform

zsy2053/iTA_admin

admin page for video uploading

zsy2053/NewsApp

zsy2053/NFTSmartContract

zsy2053/NodeBackend

zsy2053/petclinic

zsy2053/PythonGame

zsy2053/R_Course_project

material of R course project

zsy2053/rails_clone

zsy2053/RailsBlog

zsy2053/Road-Project

zsy2053/SmartHotel360-Website

SmartHotel360 Webiste

zsy2053/spring-boot-microservice-3-gateway

zsy2053/SpringCloudSample

zsy2053/SVG_Calendar

Building the round calendar with JS, PHP, HTML, CSS. Using Mysql as back-end data base. Using SVG image for the round calendar. Using Snap to have some animation effects

zsy2053/TailwindTraders-Backend

Tailwind Traders Backend Services

zsy2053/TailwindTraders-Website

Tailwind Traders Website

zsy2053/TeachingApp_Back

zsy2053/TeachingApp_Front

TeachingApp_Front

zsy2053/TensorFlow-for-Deep-Learning-with-Python

Course project

zsy2053/War-Lord

Easy C++ game