Before we actually dive into this topic, imagine the following: You just moved to a new place and the time is ripe for a little house-warming dinner with your best friends Alice and Bob. Since Alice is really tech-savvy you just send her a digital invitation with date, time and of course your new address that she can add to her calendar with a single click. With good old Bob is a bit more difficult, he is having a real struggle with modern IT. That’s why you decide to send him an e-mail not only including the time and location but also a suggestion which train to take to your city, details about the trams, stops, the right street and so. Weiterlesen
Migrating an embedded Android setup: HAL (Part 3)
After we spoke about the Linux Kernel issues that arise when porting our embedded setup to an new Android version in the previous two articles, we finally arrive in the mystical world of Android. As this part is straight forward, we’ll continue right to the hardware abstraction layer (HAL). Weiterlesen
Re-usable Web Interfaces with client-side Frameworks and Web Components (Part 1)
In the first part of our series we will clear up the differences between web frameworks and Web Components and motivate their common usage. Why shouldn’t we develop highly interactive applications with standardized user interfaces? To answer this question, we will elaborate fundamental problems with the examples of Angular (2+) and Polymer (1.x). Weiterlesen
Anomaly Detection: (Dis-)advantages of k-means clustering
In the previous post we talked about network anomaly detection in general and introduced a clustering approach using the very popular k-means algorithm. In this blog post we will show you some of the advantages and disadvantages of using k-means. Furthermore we will give a general overview about techniques other than clustering which can be used for anomaly detection. Weiterlesen
Migrating an embedded Android setup: Porting the Kernel Driver (Part 2)
After getting the display up and running, we’ll have a look at the kernel drivers. It would be way too much work describing each kernel driver in detail, so I will concentrate on the changes needed to port them to the newer kernel version, 3.14 to be exact. A more thorough introduction to the sensor driver and the whole sensor integration can be found here. Of course I learned a lot since I wrote my previous series of articles so I improved the driver quite a bit. Both devices are connected to the Wandboard via the I2C-bus, so they are working really similar at this level. Just controlling it, reading data and sleep management differs for each device.
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Datenproduktmanagement: ein Konzept auf Basis des klassischen Produktmanagements
Aktuell studiere ich Wirtschaftsinformatik an der Hochschule für Technik in Stuttgart. Meine Bachelorarbeit mit dem oben genannten Titel habe ich bei inovex geschrieben. Die Ergebnisse meiner Arbeit fasse ich in diesem Artikel zusammen. Dabei lasse ich auch Erfahrungen einfließen, die ich während dieser Zeit bei inovex gesammelt habe. Weiterlesen
Affective Robots: Emotionally Intelligent Machines
Automatic emotion recognition is an emerging area which leverages and combines knowledge from multiple fields such as machine learning, computer vision and signal processing. It has potential applications in many areas including healthcare, robotic assistance, education, market survey and advertising. Another usage of this information is to improve Human Computer Interaction with what can be described as Affective Computing, an interdisciplinary field that expands into otherwise unrelated fields like psychology and cognitive science. The concept of „affective robots“ refers to leveraging these emotional capabilities in humanoid robots to respond in the most appropriate way based on the user’s current mood and personality traits. In this article, we explore the emotion recognition capabilities of Pepper the robot and how they perform in contrast to other cutting-edge approaches. Weiterlesen
Real-time detection of anomalies in computer networks with methods of machine learning: Stop the (data)-thief!
This blog post shows some results and concepts of a master’s thesis here at inovex. It describes some basic concepts and shows a prototypical architecture for detecting unusual network activities in real-time. Weiterlesen
Migrating an embedded Android setup: What could possibly go wrong? (Part 1)
Android updates are rare, especially for development boards. We were running such a deprecated board once built to demonstrate our knowledge in embedded Android. Since we didn’t want to rely on a deprecated showcase, we decided to build a completely new setup bringing together the old show case, an ordinary Android extended with a line LCD display, usable via an SDK-Add-on, and an integrated sensor, previously described here.
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Der Feedback Loop: Kernelement eines ertragreichen Datenproduktes
In meinem Artikel über Erfolgsfaktoren habe ich 5 entscheidende Elemente bei der Umsetzung von Datenprodukten herausgearbeitet. Das wichtigste Element ist der Feedback Loop. Dabei geht es darum, die Interaktion des Nutzers mit dem Dienst zu nutzen, um den Dienst selbst zu verbessern oder Input für neue Angebote zu schaffen. Warum das sinnvoll ist, möchte ich gerne anhand von etwas mehr Details verraten. Weiterlesen