Master Thesis

修士論文 LaTeX テンプレート｜名古屋大学宇宙地球環境研究所の理学系修士学生用

＃Android的传感器融合演示[！[Build Status]（https://www.bitrise.io/app/46b5cf7adea1286f.svg?token=MZUhPFZvIBiaTSEinY9zUQ&branch=master）]（https://www.bitrise.io/app/46b5cf7adea1286f ）[！[Build Status]（https://travis-ci.org/apacha/sensor-fusion-demo.svg?branch=master）]（https://travis-ci.org/apacha/sensor-fusion-演示）[！[文档状态]（https://readthedocs.org/projects/sensor-fusion-demo/badge/?version=latest）]（http://sensor-fusion-demo.readthedocs.io/en/最新/？徽章=最新）本应用程序演示了各种传感器和传感器融合的功能。陀螺仪，加速度计和罗盘的数据以不同的方式组合，结果显示为可以通过旋转设备旋转的立方体。阅读完整的文档[这里]（http://sensor-fusion-demo.readthedocs.io）。该应用中的主要新颖之处在于虚拟传感器的融合：**改进的方位传感器1 **和**改进的方位传感器2 **将Android旋转矢量与虚拟陀螺仪传感器融合，以获得以前未知的稳定性的姿态估计和精度。除了这两个传感器，以下传感器可用于比较： - 改进的方向传感器1（Android旋转矢量和校准陀螺仪的传感器融合 - 不太稳定但更准确） - 改进的方向传感器2（Android旋转矢量的传感器融合和校准陀螺仪 - 更稳定但不太准确） - Android旋转矢量（加速度计+陀螺仪+罗盘）的卡尔曼滤波器融合 - 校准陀螺仪（加速度计+陀螺仪+指南针卡尔曼滤波器的独立结果） - 重力+指南针 - 加速度计+指南针本应用被开发用于展示为[我的论文“传感器融合为移动设备上强大的户外增强现实跟踪”开发的传感器融合方法]（http://my-it.at/media/MasterThesis-Pacha.pdf）在[人类接口技术实验室新西兰]（http://www.hitlabnz.org）。##构建和安装此项目是基于Gradle的Android Studio项目。如果您只想尝试一下，它也会在[Google Play商店]（https://play.google.com/store/apps/details?id=org.hitlabnz.sensor_fusion_demo）中发布。##贡献1.分叉2.创建您的功能分支（`git checkout -b my-new-feature`）3.提交你的更改（`git commit -am'添加一些功能'）4.推到分支（`git push origin my-new-feature`）5.根据MIT许可证创建新的Pull Request ##许可证。版权所有，2017年由[亚历山大·帕查]（http://alexanderpacha.com）和[人力资源技术实验室新西兰]（http://www.hitlabnz.org）。特此授权任何获得本软件和相关文档文件（“软件”）副本的人免费处理本软件，包括但不限于使用，复制，修改，合并的权利，发布，分发，再许可和/或出售本软件的副本，并允许提供本软件的人员遵守以下条件：上述版权声明和本许可声明应包含在所有副本中或软件的主要部分。该软件“按原样”提供，不附带任何明示或暗示的保证，包括但不限于适销性，适用于特定用途和不侵权的保证。在任何情况下，作者或版权所有者均不对任何索赔，损害或其他责任负责，无论是否因与本软件或本软件的使用或其他交易相关的任何合同，侵权行为或其他方面的行为软件。此应用程序还使用Android开放源代码项目的部分，它们是根据[Apache许可证版本2.0]（http://www.apache.org/licenses/LICENSE-2.0）许可的。##数据隐私声明本应用程序不存储或传输任何数据。

Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant

This is the repository for JÄk. I created it as prototype during my masterthesis.

Info package for students who are about to start working on their master thesis.

江苏大学硕士学位论文Latex模板

Master thesis on Music Emotion Recognition

VAE, Variational Autoencoder, Deep Learning, Medical Imaging

Master Thesis

My masterthesis

Deep Convolutional Neural Networks for Semantic Segmentation of Multi-Band Satellite Images

Haskell implementation of a version of cubical type theory developed for my master thesis

Adjoint-based Predictor Corrector Sequential Convex Programming in Nonlinear Model Predictive Control - Source Code for Car Model

No description available

MasterThesis on Congestion Detection in SDN networks using Machine Learning

A set of bioconda packages for transposon annotations. During my masterthesis I downloaded lots of these tools and I want to make it easier for people to install and run these softwares.

Real-time global illumination following the many-lights approach and using Imperfect Shadow Maps. This is the code for my master's thesis, which can be found here: https://github.com/karyon/masterthesis

My Master Thesis in the area of Data-Driven Control Engineering

Discretization methods for porous media flow problems.

No description available

Mobility is becoming increasingly important for many companies. The markets for mobile applications have been growing tremendously the last decade. It is therefore of great interest to reduce the costs of development and maintenance of mobile applications. When developing native applications for multiple platforms some parts of the code will likely implement the same functionality. This functionality is then implemented in different programming languages, for different platforms. Functionalities that are typically the same on all platforms are network communication, data parsing and business logic. These functionalities can account for a large part of the code when developing large and complex applications. This code duplication could be avoided if common functionality could be extracted from the applications and put in a shared base. The aim of this project is to investigate possible solutions to the problem of code duplication in the case of a specific business application, developed for iOS and Android. It consists of a mobile client which performs some transformation of data acquired from a business system and presents it in the native UIs. This thesis first discusses the requirements, constraints and delimitations which are inferred from the application type and the company wishing to apply cross-platform development. It also maps existing cross-platform development methods for this type of application and investigates to which extent the different cross-platform development methods fulfill the requirements. Finally the most suitable method is used in a practical context. The objectives of this project are to provide the company with a recommendation of a method as well as a prototype proving the concept of this method. This project is delimited to only investigating possible solutions for mobile business applications with native UIs. The conclusion of the project is that native C++ is the most suitable method for this type of application. It fulfills all requirements, but further research is needed regarding performance. Key Words: Cross-Platform Development, Android, Native, iOS, Xamarin, Titanium, NDK

硕士学位论文入门到毕业

MasterThesis on Number of Flows Detection in SDN networks using Machine Learning

EPFL Master Thesis LaTeX template for SV students

My master thesis on Whitebox cryptography & AES Whitebox schemes.

Masterthesis - Predict a permanent magnet synchronous motor's components' temperature with LSTM/GRU recurrent neural networks using Chainer and particle swarm optimization.

VHDL implementation of a customizable CNN

Masterthesis Bioinformatics

Latex Template for Biomedical Computing Master at the Chair for Computer Aided Medical Procedures and Augmented Reality, Technische Universität München