Cothority Android Application (Semester/Bachelor/Master) ..

Migration from native android applications to HTML5 applications (Master Thesis).

I’ve written my thesis on Android Application development, ..

Develop a mobile application (Android) that records images, allows to enter user scribbles for object selection, sends the image to some server for classification and gives feedback on the classification results. The server side is not part of the project.

essay - Translation to Spanish, pronunciation, and forum discussions

Our Android application runs on the Beagle Board and consists of two parts. We require to access our USB-Interface – this is done with a native C-Application using libusb 1.0 which we had to port to android. The native application starts the bulk transfers to the FX2 Board and gets in return the requested samples. On the other hand we have a Java Activity running on Android which needs the A/D samples to display and to calculate the FFT. Via JNI the Activity gets the sample buffers from the native C-Application and presents the results on the screen.

On the display we visualize the FFT of the acquired samples. We are also creating a brief user interface and some basic spectrum analyzer functions.� As soon as our application is created we start to tune and benchmark all our software components recursively and find out what capabilities Android can provide in terms of delay, stability and preemptivity.

Master's in Software Engineering - Regis University

Supporting reliability and scalability in IoT requires a large amount of additional resource usage for encoding/decoding additional data and signals; and additional wireless network communication to monitor and manage the processes, which results a high cost in terms of both lifetime of the front line battery-powered machines (e.g. sensors, robots) and the bandwidth cost of wireless network usage that is required to enable the communication between the machines and the backend controller systems. Although there exists a fair number of software middleware frameworks for IoT, they did not fully address the challenges in reliability, scalability and cost-efficiency together. The proposed middleware integrates novel mobile network signalling algorithm, forward-error-correction, network coding and elastic cloud computing using adaptive workflow algorithm towards enabling reliable, cost-efficient middleware for IoT. Topics arise from this domain are as follows:

answer below would be to just list "My bachelor' thesis ..

The goal of this thesis is to study what is the state of art in using GPU's to accelerate data processing in different large scale distributed computing frameworks such as Hadoop MapReduce or Apache Spark. These frameworks can greatly simplify creating parallel applications and can scale up the computations to hundreds of nodes but the individual computing power of s single node is often left unoptimized.
What is the best practices to 'move' data between the framework`s computing engine and the GPU's, and how advanced are the Java GPU interfaces in comparison to other programming languages (C, C++, ...) Practical part of the thesis would be to demonstrate the utilization of GPU in these frameworks and measuring the parallel efficiency of the results.

Bachelor Thesis in European Competition Law: The …

Using USB, the hardware plugs into Android devices that support USB Host. Together with the OsciPrime Android oscilloscope application it turns a tablet or mobile phone into a high speed data acquisition system.

SCS Undergraduate Thesis Topics - Carnegie Mellon …

Description: we are interested in migrating enterprise applications to cloud scale solutions, because we want to develop methodologies for migrating applications from relational to non-relational data stores. Non-relational data stores, also called NoSQL databases, are a better fit for the cloud, because they have been designed for horizontal scaling. Generally they abandon the relational model in favor of simpler key-value based data models. Example of NoSQL databases include Riak, MongoDB, Cassandra and Neo4J.